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Wang X, Zhu H, Hu J, Zhang B, Guo W, Wang Z, Wang D, Qi J, Tian M, Bao Y, Si F, Wang S. Genetic distribution, characterization, and function of Escherichia coli type III secretion system 2 (ETT2). iScience 2024; 27:109763. [PMID: 38706860 PMCID: PMC11068852 DOI: 10.1016/j.isci.2024.109763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024] Open
Abstract
Many Gram-negative bacteria use type Ⅲ secretion system (T3SS) to inject effector proteins and subvert host signaling pathways, facilitating the growth, survival, and virulence. Notably, some bacteria harbor multiple distinct T3SSs with different functions. An extraordinary T3SS, the Escherichia coli Type III Secretion System 2 (ETT2), is widespread among Escherichia coli (E. coli) strains. Since many ETT2 carry genetic mutations or deletions, it is thought to be nonfunctional. However, increasing studies highlight ETT2 contributes to E. coli pathogenesis. Here, we present a comprehensive overview of genetic distribution and characterization of ETT2. Subsequently, we outline its functional potential, contending that an intact ETT2 may retain the capacity to translocate effector proteins and manipulate the host's innate immune response. Given the potential zoonotic implications associated with ETT2-carrying bacteria, further investigations into the structure, function and regulation of ETT2 are imperative for comprehensive understanding of E. coli pathogenicity and the development of effective control strategies.
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Affiliation(s)
- Xinyu Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Hong Zhu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Jiangang Hu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Beibei Zhang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Weiqi Guo
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Zhiyang Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Di Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Jingjing Qi
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Mingxing Tian
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Yanqing Bao
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
| | - Fusheng Si
- Institute of Animal Science and Veterinary Medicine, Shanghai Academy of Agricultural Sciences, Shanghai 201106, China
| | - Shaohui Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai 200241, China
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Wang R, Lu Y, Qi J, Xi Y, Shen Z, Twumasi G, Bai L, Hu J, Wang J, Li L, Liu H. Genome-wide association analysis explores the genetic loci of amino acid content in duck's breast muscle. BMC Genomics 2024; 25:486. [PMID: 38755558 PMCID: PMC11097541 DOI: 10.1186/s12864-024-10287-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 04/05/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Amino acids are the basic components of protein and an important index to evaluate meat quality. With the rapid development of genomics, candidate regions and genes affecting amino acid content in livestock and poultry have been gradually revealed. Hence, genome-wide association study (GWAS) can be used to screen candidate loci associated with amino acid content in duck meat. RESULT In the current study, the content of 16 amino acids was detected in 358 duck breast muscles. The proportion of Glu to the total amino acid content was relatively high, and the proportion was 0.14. However, the proportion of Met content was relatively low, at just 0.03. By comparative analysis, significant differences were found between males and females in 3 amino acids, including Ser, Met, and Phe. In addition, 12 SNPs were significantly correlated with Pro content by GWAS analysis, and these SNPs were annotated by 7 protein-coding genes; 8 significant SNPs were associated with Tyr content, and these SNPs were annotated by 6 protein-coding genes. At the same time, linkage disequilibrium (LD) analysis was performed on these regions with significant signals. The results showed that three SNPs in the 55-56 Mbp region of chromosome 3 were highly correlated with the leader SNP (chr3:55526954) that affected Pro content (r2 > 0.6). Similarly, LD analysis showed that there were three SNPs in the 21.2-21.6 Mbp region of chromosome 13, which were highly correlated with leader SNP (chr13:21421661) (r2 > 0.6). Moreover, Through functional enrichment analysis of all candidate genes. The results of GO enrichment analysis showed that several significant GO items were associated with amino acid transport function, including amino acid transmembrane transport and glutamine transport. The results further indicate that these candidate genes are closely associated with amino acid transport. Among them, key candidate genes include SLC38A1. For KEGG enrichment analysis, CACNA2D3 and CACNA1D genes were covered by significant pathways. CONCLUSION In this study, GWAS analysis found a total of 28 significant SNPs affecting amino acid content. Through gene annotation, a total of 20 candidate genes were screened. In addition, Through LD analysis and enrichment analysis, we considered that SERAC1, CACNA2D3 and SLC38A1 genes are important candidate genes affecting amino acid content in duck breast muscle.
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Affiliation(s)
- Rui Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Yinjuan Lu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Zhenyang Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Grace Twumasi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China.
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China.
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China.
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Chen W, Wang F, Yu X, Qi J, Dong H, Cui B, Zhang Q, Wu Y, An J, Ni N, Liu C, Han Y, Zhang S, Schmitt CA, Deng J, Yu Y, Du J. LncRNA MIR31HG fosters stemness malignant features of non-small cell lung cancer via H3K4me1- and H3K27Ace-mediated GLI2 expression. Oncogene 2024; 43:1328-1340. [PMID: 37950038 PMCID: PMC11065682 DOI: 10.1038/s41388-023-02883-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 10/18/2023] [Accepted: 10/27/2023] [Indexed: 11/12/2023]
Abstract
Non-coding RNAs are responsible for oncogenesis and the development of stemness features, including multidrug resistance and metastasis, in various cancers. Expression of lncRNA MIR31HG in lung cancer tissues and peripheral sera of lung cancer patients were remarkably higher than that of healthy individuals and indicated a poor prognosis. Functional analysis showed that MIR31HG fosters stemness-associated malignant features of non-small cell lung cancer cells. Further mechanistic investigation revealed that MIR31HG modulated GLI2 expression via WDR5/MLL3/P300 complex-mediated H3K4me and H3K27Ace modification. In vivo MIR31HG repression with an antisense oligonucleotide attenuated tumor growth and distal organ metastasis, whereas MIR31HG promotion remarkably encouraged cellular invasion in lung and liver tissues. Our data suggested that MIR31HG is a potential diagnostic indicator and druggable therapeutic target to facilitate multiple strategic treatments for lung cancer patients.
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Affiliation(s)
- Weiwei Chen
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Fei Wang
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Xinyuan Yu
- Department of Oncology, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Jingjing Qi
- Department of Hematology and Internal Oncology, Johannes Kepler University Linz, Altenbergerstraße 69, 4040, Linz, Austria
| | - Hongliang Dong
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Bingjie Cui
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Qian Zhang
- Department of Pathology, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Yan Wu
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
- Department of Oncology, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Jiajia An
- Department of Clinical Laboratory, Binzhou Medical University Hospital, Binzhou, 256603, PR China
| | - Na Ni
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Cuilan Liu
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Yuchen Han
- Department of Clinical Laboratory, Binzhou Medical University Hospital, Binzhou, 256603, PR China
| | - Shuo Zhang
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China
- Department of Gynecology, Binzhou Medical University Hospital, Binzhou, 256600, PR China
| | - Clemens A Schmitt
- Johannes Kepler University, Altenbergerstraße 69, 4040, Linz, Austria
- Kepler University Hospital, Department of Hematology and Oncology, Krankenhausstraße 9, 4020, Linz, Austria
- Charité-Universitätsmedizin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Medical Department of Hematology, Oncology and Tumor Immunology, and Molekulares Krebsforschungszentrum - MKFZ, Campus Virchow Klinikum, 13353, Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Straße 10, 13125, Berlin, Germany
- Deutsches Konsortium für Translationale Krebsforschung (German Cancer Consortium), Partner site, Berlin, Germany
| | - Jiong Deng
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China.
| | - Yong Yu
- Department of Hematology and Internal Oncology, Johannes Kepler University Linz, Altenbergerstraße 69, 4040, Linz, Austria.
| | - Jing Du
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, 256600, PR China.
- Department of Oncology, Binzhou Medical University Hospital, Binzhou, 256600, PR China.
- Department of Gynecology, Binzhou Medical University Hospital, Binzhou, 256600, PR China.
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Bai Y, Xi Y, He X, Twumasi G, Ma S, Tao Q, Xu M, Jiang S, Zhang T, Lu Y, Han X, Qi J, Li L, Bai L, Liu H. Genome-wide characterization and comparison of endogenous retroviruses among 3 duck reference genomes. Poult Sci 2024; 103:103543. [PMID: 38447307 PMCID: PMC11067759 DOI: 10.1016/j.psj.2024.103543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/02/2024] [Accepted: 02/06/2024] [Indexed: 03/08/2024] Open
Abstract
Endogenous retroviruses (ERV) are viral genomes integrated into the host genome and can be stably inherited. Although ERV sequences have been reported in some avian species' genome, the duck endogenous retroviruses (DERV) genome has yet to be quantified. This study aimed to identify ERV sequences and characterize genes near ERVs in the duck genome by utilizing LTRhavest and LTRdigest tools to forecast the duck genome and analyze the distribution of ERV copies. The results revealed 1,607, 2,031, and 1,908 full-length ERV copies in the Pekin duck (ZJU1.0), Mallard (CAU_wild_1.0), and Shaoxing duck (CAU_laying_1.0) genomes, respectively, with average lengths of 7,046, 7,027, and 6,945 bp. ERVs are mainly distributed on the 1, 2, and sex chromosomes. Phylogenetic analysis demonstrated the presence of Betaretrovirus in 3 duck genomes, whereas Alpharetrovirus was exclusively identified in the Shaoxing duck genome. Through screening, 596, 315, and 343 genes adjacent to ERV were identified in 3 duck genomes, respectively, and their functions of ERV neighboring genes were predicted. Functional enrichment analysis of ERV-adjacent genes revealed enrichment for Focal adhesion, Calcium signaling pathway, and Adherens junction in 3 duck genomes. The overlapped genes were highly expressed in 8 tissues (brain, fat, heart, kidney, liver, lung, skin, and spleen) of 8-wk-old Mallard, revealing their important expression in different tissues. Our study provides a new perspective for understanding the quantity and function of DERVs, and may also provide important clues for regulating nearby genes and affecting the traits of organisms.
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Affiliation(s)
- Yuan Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Yang Xi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Xinxin He
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Grace Twumasi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Shengchao Ma
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Qiuyu Tao
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Mengru Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Shuaixue Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Tao Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Yinjuan Lu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Xu Han
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Jingjing Qi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Liang Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Lili Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China
| | - Hehe Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, P. R. Chengdu 613000, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. Chengdu 613000, China.
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Yang Q, Liu H, Xi Y, Lu Y, Han X, He X, Qi J, Zhu Y, He H, Wang J, Hu J, Li L. Genome-wide association study for bone quality of ducks during the laying period. Poult Sci 2024; 103:103575. [PMID: 38447311 PMCID: PMC11067773 DOI: 10.1016/j.psj.2024.103575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/09/2024] [Accepted: 02/15/2024] [Indexed: 03/08/2024] Open
Abstract
The cage-rearing model of the modern poultry industry makes the bones of birds, especially egg-laying birds, more vulnerable to fracture, which poses serious damage to the health of birds. Research confirms that genetic material plays an important role in regulating bone growth, development, and remodeling. However, the genetic architecture underlying bone traits is not well understood. The objectives of this study are to identify valuable genes and genetic markers through a genome-wide association study (GWAS) for breeding to improve the duck bone quality. First, we quantified the tibia and femur quality traits of 260 laying ducks. Based on GWAS, a total of 75 SNP loci significantly associated with bone quality traits were identified, and 67 potential candidate genes were annotated. According to gene function analysis, genes P4HA2, WNT3A, and BST1 et al may influence bone quality by regulating bone cell activity, calcium and phosphate metabolism, or bone collagen maturation and cross-linking. Meanwhile, combined with the transcriptome results, we found that HOXB cluster genes are also important in bone growth and development. Therefore, our findings were helpful in further understanding the genetic architecture of the duck bone quality and provided a worthy theoretical basis and technological support to improve duck bone quality by breeding.
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Affiliation(s)
- Qinglan Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Hehe Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Yang Xi
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Yinjuan Lu
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Xu Han
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Xinxin He
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jingjing Qi
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Yuanchun Zhu
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Hua He
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jiwen Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jiwei Hu
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Liang Li
- State Key Laboratory of Swine and Poultry Breeding Industry, State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China.
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6
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Xie Y, Qi J, Liu J. Curcumin suppresses the malignant phenotype of laryngeal squamous cell carcinoma through downregulating E2F1 to inhibit FLNA. Naunyn Schmiedebergs Arch Pharmacol 2024:10.1007/s00210-024-03059-x. [PMID: 38592439 DOI: 10.1007/s00210-024-03059-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/18/2024] [Indexed: 04/10/2024]
Abstract
Curcumin is a kind of polyphenol substance extracted from the rhizome of Curcuma longa. Because of its good biological activity and pharmacological effects, it has been used in anti-tumor research. The aim of this study was to investigate the anti-cancer mechanism of curcumin on laryngeal squamous cell carcinoma (LSCC). Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to check the expression level of transcription factor E2F1 (E2F1) and filamin A (FLNA) mRNA. E2F1 and FLNA protein and proliferation-associated protein were detected through western blot. Cell viability was showed by MTT assay, and flow cytometry was used to exhibit cell cycle distribution and cell apoptosis. Tube formation assay was used to detect the angiogenesis ability of cells. Transwell was used as a method to observe cell migration and invasion. The online website JASPAR predicted the binding site of E2F1 and FLNA promoter, and chromatin immunoprecipitation (ChIP) and dual-luciferase report experiment verified the combination. Curcumin treatment made LSCC cells viability reduce, cell cycle retardant, angiogenesis decrease, metastasis inhibition and apoptosis increase. And curcumin treatment could downregulate the expression of E2F1, and E2F1 overexpression would reverse the influence of curcumin treatment in LSCC cells. Moreover, E2F1 could bind to FLAN promoter and promote FLNA expression. The expression level of FLNA was higher in LSCC tissue and cells compared with normal tissue and cells. E2F1 knockdown inhibited malignant phenotype of LSCC cells, which would be reversed by FLNA addition. In addition, FLNA had high level in LSCC tissue and cells. Curcumin regulated FLNA expression via inhibiting E2F1. Finally, in vivo assay showed that curcumin inhibition restrained LSCC tumor formation. Curcumin downregulated FLNA expression through inhibiting E2F1, thereby suppressing the malignant phenotype and angiogenesis of LSCC cells, which was a new regulatory pathway in LSCC.
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Affiliation(s)
- Yuanchun Xie
- Department of Otorhinolaryngology-Head and Neck Surgery, Jingmen People's Hospital, Jingmen, China.
| | - Jingjing Qi
- Department of Otorhinolaryngology-Head and Neck Surgery, Jingmen No.2 People's Hospital, No.39, Xiangshan Avenue, Jingmen City, 448000, Hubei, China.
| | - Ju Liu
- Department of Operating Theatre, Jingmen No.2 People's Hospital, Jingmen City, 448000, Hubei, China
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7
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Qi J, Wang TJ, Wang MN, Shang LX, Chen L, Wang XF, Li YH, Xu H, Ma CF. [Risk prediction and function evaluation by T-cell epitope model and expression model of HLA-DPB1 mismatching in unrelated-donor hematopoietic stem cell transplantations]. Zhonghua Yi Xue Za Zhi 2024; 104:850-856. [PMID: 38462361 DOI: 10.3760/cma.j.cn112137-20231203-01275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Objective: To evaluate the risk prediction and assessment function of HLA-DPB1 T-cell epitope (TCE) model and expression model in human leukocyte antigen (HLA)-matched unrelated hematopoietic stem cell transplantation (MUD-HSCT) with HLA-DPB1 mismatching. Methods: A total of 364 (182 pairs) potential MUD-HSCT donors and recipients confirmed by HLA high-resolution typing in Shaanxi Blood Center from 2016 to 2019 were analyzed retrospectively. Of the 182 recipients, there were 121 males and 61 females with an average age of (26.3±14.2) years. Of the 182 donors, there were 148 males and 34 females with an average age of (33.7±7.5) years. Polymerase chain reaction-sequence-based typing (PCR-SBT), next-generation sequencing (NGS) and polymerase chain reaction-sequence specific oligonucleotide probe (PCR-SSO) based on LABScan®3D platform were used for high-resolution typing of HLA-A, B, C, DRB1, DQB1, DPB1 gene, and PCR-SBT was used for single nucleotide polymorphism (SNP) typing. TCE model and expression model were used to predict and evaluate the HLA-DPB1 mismatch pattern and acute graft-versus-host-disease (aGVHD) risk. Results: A total of 26 HLA-DPB1 alleles and their 3'-UTR rs9277534 SNP genotypes were detected in this study population, and two new alleles HLA-DPB1*1052∶01 and HLA-DPB1*1119∶01 were found and officially named. The overall mismatch rate of HLA-DPB1 in MUD-HSCT donors and recipients was 90.66% (165/182). In TCE model, the HLA-DPB1 mismatch rates of permissible mismatch (PM) and non-permissible mismatch (non-PM) were 47.80% (87/182) and 42.86% (78/182), respectively. The non-PM in GvH direction was 13.73% (25/182), and which in HvG direction was 29.12% (53/182). A total of 73 pairs of donors and recipients in TCE model met the evaluation criteria of expression model. Among of TCE PM group, recipient DP5 mismatches accounted for 34.25% (25/73) were predicted as aGVHD high risk according to expression model. For the TCE non-PM group, both the recipient DP2 mismatches of 6.85% (5/73) and recipient DP5 mismatches of 10.86% (8/73) were predicted to be at high risk for aGVHD. Risk prediction by TCE model and expression model was 27.27% concordant and 16.97% unconcordant. Conclusions: TCE model and expression model are effective tools to predict aGVHD risk of MUD-HSCT. Comprehensive application of the two models is helpful to the hierarchical assessment of HSCT risk.
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Affiliation(s)
- J Qi
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - T J Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - M N Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - L X Shang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - L Chen
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - X F Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - Y H Li
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - H Xu
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - C F Ma
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
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8
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Wu QN, Qi J, Liu ZK, Luo XJ, Yu K, Lu YX, Wang Y, Jin Y, Liu J, Huang LY, Zeng ZL, Zheng Y, Xu RH, Liu ZX. HIPK3 maintains sensitivity to platinum drugs and prevents disease progression in gastric cancer. Cancer Lett 2024; 584:216643. [PMID: 38246220 DOI: 10.1016/j.canlet.2024.216643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 12/21/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024]
Abstract
In the realm of cancer therapeutics and resistance, kinases play a crucial role, particularly in gastric cancer (GC). Our study focused on platinum-based chemotherapy resistance in GC, revealing a significant reduction in homeodomain-interacting protein kinase 3 (HIPK3) expression in platinum-resistant tumors through meticulous analysis of transcriptome datasets. In vitro and in vivo experiments demonstrated that HIPK3 knockdown enhanced tumor proliferation and metastasis, while upregulation had the opposite effect. We identified the myocyte enhancer factor 2C (MEF2C) as a transcriptional regulator of HIPK3 and uncovered HIPK3's role in downregulating the morphogenesis regulator microtubule-associated protein (MAP7) through ubiquitination. Phosphoproteome profiling revealed HIPK3's inhibitory effects on mTOR and Wnt pathways crucial in cell proliferation and movement. A combined treatment strategy involving oxaliplatin, rapamycin, and IWR1-1-endo effectively overcame platinum resistance induced by reduced HIPK3 expression. Monitoring HIPK3 levels could serve as a GC malignancy and platinum resistance indicator, with our proposed treatment strategy offering novel avenues for reversing resistance in gastric cancer.
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Affiliation(s)
- Qi-Nian Wu
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Jingjing Qi
- Tumor Epigenetics Laboratory, Johannes Kepler University Linz, Altenbergerstraße 69, 4040, Linz, Austria
| | - Ze-Kun Liu
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Xiao-Jing Luo
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Kai Yu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Yun-Xin Lu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Yun Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Ying Jin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Jia Liu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Li-Yun Huang
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Zhao-Lei Zeng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Yongqiang Zheng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China
| | - Rui-Hua Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060, PR China.
| | - Ze-Xian Liu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China.
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9
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Zuo W, Yang D, Wu X, Zhang B, Wang X, Hu J, Qi J, Tian M, Bao Y, Wang S. The aroA and luxS Double-Gene Mutant Strain Has Potential to Be a Live Attenuated Vaccine against Salmonella Typhimurium. Vaccines (Basel) 2024; 12:162. [PMID: 38400145 PMCID: PMC10893546 DOI: 10.3390/vaccines12020162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 01/25/2024] [Accepted: 01/29/2024] [Indexed: 02/25/2024] Open
Abstract
Salmonella Typhimurium (S. Typhimurium) is a zoonotic pathogen posing a threat to animal husbandry and public health. Due to the emergence of antibiotic-resistant strains, alternative prevention and control strategies are needed. Live attenuated vaccines are an ideal option that provide protection against an S. Typhimurium pandemic. To develop a safe and effective vaccine, double-gene mutations are recommended to attenuate virulence. In this study, we chose aroA and luxS genes, whose deletion significantly attenuates S. Typhimurium's virulence and enhances immunogenicity, to construct the double-gene mutant vaccine strain SAT52ΔaroAΔluxS. The results show that the mutant strain's growth rate, adherence and invasion of susceptible cells are comparable to a wild-type strain, but the intracellular survival, virulence and host persistence are significantly attenuated. Immunization assay showed that 106 colony-forming units (CFUs) of SAT52ΔaroAΔluxS conferred 100% protection against wild-type challenges; the bacteria persistence in liver and spleen were significantly reduced, and no obvious pathological lesions were observed. Therefore, the double-gene mutant strain SAT52ΔaroAΔluxS exhibits potential as a live attenuated vaccine candidate against S. Typhimurium infection.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Yanqing Bao
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China; (W.Z.); (D.Y.); (X.W.); (B.Z.); (X.W.); (J.H.); (J.Q.); (M.T.)
| | - Shaohui Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China; (W.Z.); (D.Y.); (X.W.); (B.Z.); (X.W.); (J.H.); (J.Q.); (M.T.)
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10
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Qi J, Liu H, Zhou Z, Jiang Y, Fan W, Hu J, Li J, Guo Z, Xie M, Huang W, Zhang Q, Hou S. Genome-wide association study identifies multiple loci influencing duck serum biochemical indicators in the laying period. Br Poult Sci 2024; 65:8-18. [PMID: 38284741 DOI: 10.1080/00071668.2023.2272982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 09/12/2023] [Indexed: 01/30/2024]
Abstract
1. Laying performance is an important economic trait in poultry. The blood is essential in transporting nutrients to the yolk and albumen and is necessary for egg formation.2. This study calculated the phenotypic relationships of duck egg quality, egg production efficiency and 22 serum parameters in the egg-laying stage. Using a variety of methodologies, a genome-wide association study (GWAS) was carried out to uncover the genetic foundations of the 22 serum biochemical markers of laying ducks.3. Spearman correlation coefficients between the egg production (226-329 per day) and the serum parameters were all weak, being less than 0.3. This analysis was done on 22 serum parameters, with total protein (TP), total triglycerides (TG), calcium (Ca) and phosphorous (P) having the highest correlation coefficients (r = 0.56-0.88). The coefficients for blood markers, such as total cholesterol (CHOL), total bilirubin (TBIL), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) varied from 0.70-0.94.4. Based on single-marker single-trait genome-wide analyses by a mixed linear model program of EMMAX, nine candidate genes were associated with enzyme traits (AST/ALT aspartate transaminase/glutamic-pyruvic transaminase, creatine kinase) and 19 candidate genes were associated with metabolism and protein-related serum parameters (glucose, total bile acid, uric acid (UA), albumin (ALB).5. The mvLMM (multivariate linear mixed model) of GEMMA software was used to carry out multiple trait integrated GWAS. Two candidate genes were found in the TP-TG-CA-P analysis and seven candidate genes in the CHOL_LDL-C_HDL-C_TBIL study. There was a high genetic correlation between the two groups.
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Affiliation(s)
- J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Z Zhou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Y Jiang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Fan
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Hu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Z Guo
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - M Xie
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Huang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Q Zhang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - S Hou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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11
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Wu Q, Liu H, Yang Q, Qi J, Xi Y, Tang Q, Wang R, Hu J, Li L. Transcriptome-based comparison reveals key genes regulating allometry growth of forelimb and hindlimb bone in duck embryos. Poult Sci 2024; 103:103317. [PMID: 38160613 PMCID: PMC10792745 DOI: 10.1016/j.psj.2023.103317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/29/2023] [Accepted: 11/20/2023] [Indexed: 01/03/2024] Open
Abstract
Allometric growth of the forelimb and hindlimb is a widespread phenomenon observed in vertebrates. As a typical precocial bird, ducks exhibit more advanced development of their hindlimbs compared to their forelimbs, enabling them to walk shortly after hatching. This phenomenon is closely associated with the development of long bones in the embryonic stage. However, the molecular mechanism governing the allometric growth of duck forelimb and hindlimb bones is remains elusive. In this study, we employed phenotypic, histological, and gene expression analyses to investigate developmental differences between the humerus (forelimb bone) and tibia/femur (hindlimb bones) in duck embryos. Our results revealed a gradual increase in weight and length disparity between the tibia and humerus from E12 to E28 (embryo age). At E12, endochondral ossification was observed solely in the tibia but not in the humerus. The number of differentially expressed genes (DEGs) gradually increased at H12 vs. T12, H20 vs. T20, and H28 vs. T28 stages consistent with phenotypic variations. A total of 38 DEGs were found across all 3 stages. Protein-protein interaction network analysis demonstrated strong interactions among members of HOXD gene family (HOXD3/8/9/10/11/12), HOXB gene family (HOXB8/9), TBX gene family (TBX4/5/20), HOXA11, SHOX2, and MEIS2. Gene expression profiling indicated higher expression levels for all HOXD genes in the humerus compared to tibia while opposite trends were observed for HOXA/HOXB genes with low or no expression detected in the humerus. These findings suggest distinct roles played by different clusters within HOX gene family during skeletal development regulation of duck embryo's forelimbs versus hind limbs. Notably, TBX4 exhibited high expression levels specifically in tibia whereas TBX5 showed similar patterns exclusively within humerus as seen previously across other species' studies. In summary, this study identified key regulatory genes involved in allometric growth of duck forelimb and hindlimb bones during embryonic development. Skeletal development is a complex physiological process, and further research is needed to elucidate the regulatory role of candidate genes in endochondral ossification.
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Affiliation(s)
- Qifan Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China; Ministry of Agriculture, Forestry and Food Engineering, Yibin University, Yibin, 644000, China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Qinglan Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Qian Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Rui Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
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12
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Ng MS, Kwok I, Tan L, Shi C, Cerezo-Wallis D, Tan Y, Leong K, Yang K, Zhang Y, Jing J, Liong KH, Wu D, He R, Liu D, Teh YC, Bleriot C, Caronni N, Liu Z, Duan K, Narang V, Li M, Chen J, Liu Y, Liu L, Qi J, Liu Y, Jiang L, Shen B, Cheng H, Cheng T, Angeli V, Sharma A, Loh YH, Tey HL, Chong SZ, Ostuni R, Hidalgo A, Ginhoux F, Ng LG. Deterministic reprogramming of neutrophils within tumors. Science 2024; 383:eadf6493. [PMID: 38207030 PMCID: PMC11087151 DOI: 10.1126/science.adf6493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 11/27/2023] [Indexed: 01/13/2024]
Abstract
Neutrophils are increasingly recognized as key players in the tumor immune response and are associated with poor clinical outcomes. Despite recent advances characterizing the diversity of neutrophil states in cancer, common trajectories and mechanisms governing the ontogeny and relationship between these neutrophil states remain undefined. Here, we demonstrate that immature and mature neutrophils that enter tumors undergo irreversible epigenetic, transcriptional, and proteomic modifications to converge into a distinct, terminally differentiated dcTRAIL-R1+ state. Reprogrammed dcTRAIL-R1+ neutrophils predominantly localize to a glycolytic and hypoxic niche at the tumor core and exert pro-angiogenic function that favors tumor growth. We found similar trajectories in neutrophils across multiple tumor types and in humans, suggesting that targeting this program may provide a means of enhancing certain cancer immunotherapies.
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Affiliation(s)
- Melissa S.F. Ng
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Immanuel Kwok
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Leonard Tan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Changming Shi
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
| | - Daniela Cerezo-Wallis
- Area of Cell & Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III; Madrid, Spain
- Vascular Biology and Therapeutics Program and Department of Immunobiology, Yale University School of Medicine; New Haven, USA
| | - Yingrou Tan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- National Skin Centre, National Healthcare Group; Singapore
| | - Keith Leong
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Katharine Yang
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Yuning Zhang
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
| | - Jingsi Jing
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
| | - Ka Hang Liong
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Dandan Wu
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine; Shanghai, China
| | - Rui He
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
| | - Dehua Liu
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Ye Chean Teh
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Camille Bleriot
- INSERM U1015, Institut Gustave Roussy; Villejuif, France
- CNRS UMR8253, Institut Necker des Enfants Malades; Paris, France
| | - Nicoletta Caronni
- Genomics of the Innate Immune System Unit, San Raffaele-Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute; Milan, Italy
| | - Zhaoyuan Liu
- Genomics of the Innate Immune System Unit, San Raffaele-Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute; Milan, Italy
| | - Kaibo Duan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Vipin Narang
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Mengwei Li
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Jinmiao Chen
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
| | | | - Lianxin Liu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China; Anhui, China
| | - Jingjing Qi
- Department of Biliary and Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
- Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
| | - Yingbin Liu
- Department of Biliary and Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
- Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai, China
| | - Lingxi Jiang
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine; Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Key Laboratory of Translational Research for Pancreatic Neoplasms, Shanghai Jiaotong University School of Medicine; Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiaotong University; Shanghai, China
| | - Baiyong Shen
- Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine; Shanghai, China
- Research Institute of Pancreatic Diseases, Shanghai Key Laboratory of Translational Research for Pancreatic Neoplasms, Shanghai Jiaotong University School of Medicine; Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiaotong University; Shanghai, China
| | - Hui Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College; Tianjin, China
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College; Tianjin, China
| | - Veronique Angeli
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
| | - Ankur Sharma
- Harry Perkins Institute of Medical Research, QEII Medical Centre; Nedlands, Western Australia, Australia
- Curtin Medical School, Curtin University; Bentley, Western Australia, Australia
- Curtin Health Innovation Research Institute, Curtin University; Bentley, Western Australia, Australia
| | - Yuin-han Loh
- Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research); Singapore
| | - Hong Liang Tey
- National Skin Centre, National Healthcare Group; Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University; Singapore
- Yong Loo Lin School of Medicine, National University of Singapore; Singapore
| | - Shu Zhen Chong
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
| | - Renato Ostuni
- Genomics of the Innate Immune System Unit, San Raffaele-Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute; Milan, Italy
- Vita-Salute San Raffaele University, Milan; Italy
| | - Andrés Hidalgo
- Area of Cell & Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III; Madrid, Spain
- Vascular Biology and Therapeutics Program and Department of Immunobiology, Yale University School of Medicine; New Haven, USA
| | - Florent Ginhoux
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine; Shanghai, China
- INSERM U1015, Institut Gustave Roussy; Villejuif, France
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre; Singapore
| | - Lai Guan Ng
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research); Singapore
- Shanghai Immune Therapy Institute, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital; Shanghai, China
- Department of Microbiology and Immunology, National University of Singapore (NUS); Singapore
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13
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Ozonoff A, Jayavelu ND, Liu S, Melamed E, Milliren CE, Qi J, Geng LN, McComsey GA, Cairns CB, Baden LR, Schaenman J, Shaw AC, Samaha H, Seyfert-Margolis V, Krammer F, Rosen LB, Steen H, Syphurs C, Dandekar R, Shannon CP, Sekaly RP, Ehrlich LIR, Corry DB, Kheradmand F, Atkinson MA, Brakenridge SC, Higuita NIA, Metcalf JP, Hough CL, Messer WB, Pulendran B, Nadeau KC, Davis MM, Sesma AF, Simon V, van Bakel H, Kim-Schulze S, Hafler DA, Levy O, Kraft M, Bime C, Haddad EK, Calfee CS, Erle DJ, Langelier CR, Eckalbar W, Bosinger SE, Peters B, Kleinstein SH, Reed EF, Augustine AD, Diray-Arce J, Maecker HT, Altman MC, Montgomery RR, Becker PM, Rouphael N. Features of acute COVID-19 associated with post-acute sequelae of SARS-CoV-2 phenotypes: results from the IMPACC study. Nat Commun 2024; 15:216. [PMID: 38172101 PMCID: PMC10764789 DOI: 10.1038/s41467-023-44090-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 11/29/2023] [Indexed: 01/05/2024] Open
Abstract
Post-acute sequelae of SARS-CoV-2 (PASC) is a significant public health concern. We describe Patient Reported Outcomes (PROs) on 590 participants prospectively assessed from hospital admission for COVID-19 through one year after discharge. Modeling identified 4 PRO clusters based on reported deficits (minimal, physical, mental/cognitive, and multidomain), supporting heterogenous clinical presentations in PASC, with sub-phenotypes associated with female sex and distinctive comorbidities. During the acute phase of disease, a higher respiratory SARS-CoV-2 viral burden and lower Receptor Binding Domain and Spike antibody titers were associated with both the physical predominant and the multidomain deficit clusters. A lower frequency of circulating B lymphocytes by mass cytometry (CyTOF) was observed in the multidomain deficit cluster. Circulating fibroblast growth factor 21 (FGF21) was significantly elevated in the mental/cognitive predominant and the multidomain clusters. Future efforts to link PASC to acute anti-viral host responses may help to better target treatment and prevention of PASC.
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Affiliation(s)
- Al Ozonoff
- Clinical & Data Coordinating Center (CDCC), Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA
| | | | - Shanshan Liu
- Clinical & Data Coordinating Center (CDCC), Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA
| | | | - Carly E Milliren
- Clinical & Data Coordinating Center (CDCC), Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA
| | - Jingjing Qi
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Grace A McComsey
- Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA
| | | | - Lindsey R Baden
- Boston Clinical Site: Precision Vaccines Program, Boston Children's Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Joanna Schaenman
- David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA
| | - Albert C Shaw
- Yale School of Medicine, and Yale School of Public Health, New Haven, CT, USA
| | | | | | | | - Lindsey B Rosen
- National Institute of Allergy and Infectious Diseases/National Institutes of Health, Bethesda, MD, USA
| | - Hanno Steen
- Boston Clinical Site: Precision Vaccines Program, Boston Children's Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Caitlin Syphurs
- Clinical & Data Coordinating Center (CDCC), Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA
| | - Ravi Dandekar
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Casey P Shannon
- Centre for Heart Lung Innovation, Providence Research, St. Paul's Hospital, and the PROOF Centre of Excellence, Vancouver, BC, Canada
| | - Rafick P Sekaly
- Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA
| | | | - David B Corry
- Baylor College of Medicine, and the Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Farrah Kheradmand
- Baylor College of Medicine, and the Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Mark A Atkinson
- University of Florida/University of South Florida, Tampa, FL, USA
| | | | | | - Jordan P Metcalf
- Oklahoma University Health Sciences Center, Oklahoma City, OK, USA
| | | | | | | | | | | | | | - Viviana Simon
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Harm van Bakel
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - David A Hafler
- Yale School of Medicine, and Yale School of Public Health, New Haven, CT, USA
| | - Ofer Levy
- Boston Clinical Site: Precision Vaccines Program, Boston Children's Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | | | | | - Elias K Haddad
- Drexel University/Tower Health Hospital, Philadelphia, PA, USA
| | - Carolyn S Calfee
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - David J Erle
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Charles R Langelier
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Walter Eckalbar
- University of California San Francisco School of Medicine, San Francisco, CA, USA
| | | | - Bjoern Peters
- La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Steven H Kleinstein
- Yale School of Medicine, and Yale School of Public Health, New Haven, CT, USA
| | - Elaine F Reed
- David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA
| | - Alison D Augustine
- National Institute of Allergy and Infectious Diseases/National Institutes of Health, Bethesda, MD, USA
| | - Joann Diray-Arce
- Clinical & Data Coordinating Center (CDCC), Precision Vaccines Program, Boston Children's Hospital, Boston, MA, USA
| | | | | | - Ruth R Montgomery
- Yale School of Medicine, and Yale School of Public Health, New Haven, CT, USA
| | - Patrice M Becker
- National Institute of Allergy and Infectious Diseases/National Institutes of Health, Bethesda, MD, USA
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14
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Gao Q, Qi J, Tan Y, Ju J. Antifungal mechanism of Angelica sinensis essential oil against Penicillium roqueforti and its application in extending the shelf life of bread. Int J Food Microbiol 2024; 408:110427. [PMID: 37827052 DOI: 10.1016/j.ijfoodmicro.2023.110427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/07/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023]
Abstract
There are a variety of reports on the application of Angelica sinensis essential oil (ASEO) in the biomedical field. However, the antifungal mechanism of ASEO has not been reported. In this study, the antifungal mechanism of ASEO against Penicillium roqueforti was investigated by proteomics and genomics. ASEO can increase the permeability of P. roqueforti cell membrane and decrease the content of lipid and trehalose. With the increase of glycerol content, the HOG signaling pathway can be upregulated. Consistent with the above phenotypic changes, proteomics confirmed that ASEO treatment inhibited the steroid synthesis pathway of P. roqueforti. The significant down-regulation of ERG4, ERG6, ERG25, SMT1, and FDFT1 gene expression confirmed this conclusion. Cluster+activates the MAPK and UPP signaling pathways and ultimately leads to cell apoptosis. The bread shelf life experiment showed that ASEO could extend the shelf life of bread up to day 7. This study provides new evidence for the antifungal activity of ASEO against P. roqueforti and will promote the use of ASEO in the preservation of food and agricultural products.
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Affiliation(s)
- Qingchao Gao
- Special Food Research Institute, Qingdao Agricultural University, Qingdao 266109, People's Republic of China; Qingdao Special Food Research Institute, Qingdao 266109, People's Republic of China; Key Laboratory of Special Food Processing (Co-construction by Ministry and Province), Ministry of Agriculture Rural Affairs, People's Republic of China; Shandong Technology Innovation Center of Special Food, Qingdao, 266109, People's Republic of China
| | - Jingjing Qi
- Special Food Research Institute, Qingdao Agricultural University, Qingdao 266109, People's Republic of China; Qingdao Special Food Research Institute, Qingdao 266109, People's Republic of China; Key Laboratory of Special Food Processing (Co-construction by Ministry and Province), Ministry of Agriculture Rural Affairs, People's Republic of China; Shandong Technology Innovation Center of Special Food, Qingdao, 266109, People's Republic of China
| | - Yulong Tan
- Special Food Research Institute, Qingdao Agricultural University, Qingdao 266109, People's Republic of China; Qingdao Special Food Research Institute, Qingdao 266109, People's Republic of China; Key Laboratory of Special Food Processing (Co-construction by Ministry and Province), Ministry of Agriculture Rural Affairs, People's Republic of China; Shandong Technology Innovation Center of Special Food, Qingdao, 266109, People's Republic of China
| | - Jian Ju
- Special Food Research Institute, Qingdao Agricultural University, Qingdao 266109, People's Republic of China; Qingdao Special Food Research Institute, Qingdao 266109, People's Republic of China; Key Laboratory of Special Food Processing (Co-construction by Ministry and Province), Ministry of Agriculture Rural Affairs, People's Republic of China; Shandong Technology Innovation Center of Special Food, Qingdao, 266109, People's Republic of China.
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15
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Twumasi G, Wang H, Xi Y, Qi J, Li L, Bai L, Liu H. Genome-Wide Association Studies Reveal Candidate Genes Associated with Pigmentation Patterns of Single Feathers of Tianfu Nonghua Ducks. Animals (Basel) 2023; 14:85. [PMID: 38200816 PMCID: PMC10778472 DOI: 10.3390/ani14010085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 01/12/2024] Open
Abstract
In modern advanced genetics and breeding programs, the study of genes related to pigmentation in ducks is gaining much attention and popularity. Genes and DNA mutation cause variations in the plumage color traits of ducks. Therefore, discovering related genes responsible for different color traits and pigment patterns on each side of the single feathers in Chinese ducks is important for genetic studies. In this study, we collected feather images from 340 ducks and transported them into Image Pro Plus (IPP) 6.0 software to quantify the melanin content in the feathers. Thereafter, a genome-wide association study was conducted to reveal the genes responsible for variations in the feather color trait. The results from this study revealed that the pigmented region was larger in the male ducks as compared to the female ducks. In addition, the pigmented region was larger on the right side of the feather vane than on the left side in both dorsal and ventral feathers, and a positive correlation was observed among the feather color traits. Further, among the annotated genes, WNT3A, DOCK1, RAB1A, and ALDH1A3 were identified to play important roles in the variation in pigmented regions of the various feathers. This study also revealed that five candidate genes, including DPP8, HACD3, INTS14, SLC24A1, and DENND4A, were associated with the color pigment on the dorsal feathers of the ducks. Genes such as PRKG1, SETD6, RALYL, and ZNF704 reportedly play important roles in ventral feather color traits. This study revealed that genes such as WNT3A, DOCK1, RAB1A, and ALDH1A3 were associated with different pigmentation patterns, thereby providing new insights into the genetic mechanisms of single-feather pigmentation patterns in ducks.
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Affiliation(s)
- Grace Twumasi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Huazhen Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yang Xi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Jingjing Qi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Liang Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Lili Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Hehe Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
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16
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Zuo W, Tian M, Qi J, Zhang G, Hu J, Wang S, Bao Y. The functions of EF-hand proteins from host and zoonotic pathogens. Microbes Infect 2023:105276. [PMID: 38072184 DOI: 10.1016/j.micinf.2023.105276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023]
Abstract
EF-hand proteins not only regulate biological processes, but also influence immunity and infection. In this review, we summarize EF-hand proteins' functions in host and zoonotic pathogens, with details in structures, Ca2+ affinity, downstream targets and functional mechanisms. Studies entitled as EF-hand-related but with less solid features were also discussed. We believe it could raise cautions and facilitate proper research strategy for researchers.
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Affiliation(s)
- Wei Zuo
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Mingxing Tian
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Jingjing Qi
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Guangdong Zhang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Jiangang Hu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Shaohui Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China; Engineering Research Center for the Prevention and Control of Animal Original Zoonosis of Fujian Province University, College of Life Science, Longyan University, Longyan, 364012, Fujian, China.
| | - Yanqing Bao
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China; Engineering Research Center for the Prevention and Control of Animal Original Zoonosis of Fujian Province University, College of Life Science, Longyan University, Longyan, 364012, Fujian, China.
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17
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Wang H, Yang C, Wang J, Xi Y, Qi J, Hu J, Bai L, Li L, Mustafa A, Liu H. Genome-wide association analysis of neck ring traits in NongHua ma male ducks. Br Poult Sci 2023; 64:670-677. [PMID: 37610317 DOI: 10.1080/00071668.2023.2249840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/24/2023]
Abstract
1. Male NongHua ma ducks have more colourful feathers than females, especially considering that the former have a distinctive neck ring that is different from that of females. This ring development might be influenced by sex selection, the environment, genetics and other elements.2. Genome-wide association analysis (GWAS) was used to locate candidate genes that affect the neck ring formation of male ducks to investigate the genetic basis of this phenomenon.3. In this study, the neck ring area and width of 180 male ducks were assessed at ages 80, 90, 100, 110 and 120 d. GWAS was used to identify associated genes. There were 0, 7, 14, 48 and 21 possible candidate genes annotated around the 0, 12, 25, 76 and 40 SNP loci n corresponding regions. A total of 13 candidate genes were identified around 21 SNP sites at the neck ring width of 120 d.4. These significant genes were annotated and GO and KEGG enrichment analyses were performed. All SNPs that exceeded the significance threshold were annotated and preliminarily screened as candidate genes affecting neck ring formation. From analysis of gene function and enriched KEGG pathways, genes such as THSD1, SLC6A4, DGAT2, PRKDC, B3GAT2, ROR1, GRK7, EXTL3, TXNDC12, COL4A2, PRKG1, ACTR3, were considered important candidate marker sites related to the neck ring. This provided a reference starting point for the genetic mechanism underlying duck feather colour.
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Affiliation(s)
- H Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - C Yang
- Sichuan Animal Science Academy, Sichuan Key Laboratory of Animal Genetics and Breeding, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - A Mustafa
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China, Ministry of Education, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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18
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Liu Q, Qi J, Li W, Tian X, Zhang J, Liu F, Lu X, Zang H, Liu C, Ma C, Yu Y, Jiang S. Therapeutic effect and transcriptome-methylome characteristics of METTL3 inhibition in liver hepatocellular carcinoma. Cancer Cell Int 2023; 23:298. [PMID: 38012755 PMCID: PMC10683134 DOI: 10.1186/s12935-023-03096-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/11/2023] [Indexed: 11/29/2023] Open
Abstract
Methyltransferase-like 3 (METTL3) is the key subunit of methyltransferase complex responsible for catalyzing N6-methyladenosine (m6A) modification on mRNA, which is the most prevalent post-transcriptional modification in eukaryotes. In this study, we utilized online databases to analyze the association between METTL3 expression and various aspects of tumorigenesis, including gene methylation, immunity, and prognosis. Our investigation revealed that METTL3 serves as a prognostic marker and therapeutic target for liver hepatocellular carcinoma (LIHC). Through experimental studies, we observed frequent upregulation of METTL3 in LIHC tumor tissue and cells. Subsequent inhibition of METTL3 using a novel small molecule inhibitor, STM2457, significantly impeded tumor growth in LIHC cell lines, spheroids, and xenograft tumor model. Further, transcriptome and m6A sequencing of xenograft bodies unveiled that inhibition of METTL3-m6A altered genes enriched in SMAD and MAPK signaling pathways that are critical for tumorigenesis. These findings suggest that targeting METTL3 represents a promising therapeutic strategy for LIHC.
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Affiliation(s)
- Qingbin Liu
- Clinical Medical Laboratory Center, Jining First People's Hospital, Shandong First Medical University, Jining, 272000, People's Republic of China
- Cisen Pharmaceutical Co. Ltd, Jining, 272000, China
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250100, Shandong, China
| | - Jingjing Qi
- Johannes Kepler University Linz, Altenberger Strasse 69, 4040, Linz, Austria
| | - Weiyang Li
- School of Biological Science, Jining Medical University, Rizhao, Shandong, China
| | - Xinchen Tian
- Clinical Medical Laboratory Center, Jining First People's Hospital, Shandong First Medical University, Jining, 272000, People's Republic of China
| | - Jiaqi Zhang
- Clinical Medical Laboratory Center, Jining First People's Hospital, Shandong First Medical University, Jining, 272000, People's Republic of China
| | - Fen Liu
- Clinical Medical Laboratory Center, Jining First People's Hospital, Shandong First Medical University, Jining, 272000, People's Republic of China
| | - Xiulian Lu
- Cisen Pharmaceutical Co. Ltd, Jining, 272000, China
| | - Hengchang Zang
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250100, Shandong, China
| | - Chenqiao Liu
- Hepatobiliary Surgery Department, Jining First People's Hospital, Shandong First Medical University, Jining, 272000, China
| | - Changlin Ma
- Hepatobiliary Surgery Department, Jining First People's Hospital, Shandong First Medical University, Jining, 272000, China.
| | - Yong Yu
- Johannes Kepler University Linz, Altenberger Strasse 69, 4040, Linz, Austria.
| | - Shulong Jiang
- Clinical Medical Laboratory Center, Jining First People's Hospital, Shandong First Medical University, Jining, 272000, People's Republic of China.
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19
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Xi Y, Wang L, Qi J, Wei B, Han X, Lu Y, Hu S, He H, Han C, Zhu Y, Hu J, Liu H, Wang J, Li L. Comprehensive transcriptomic and metabolomic analysis of the effect of feed restriction on duck sternal development. Poult Sci 2023; 102:102961. [PMID: 37604023 PMCID: PMC10465956 DOI: 10.1016/j.psj.2023.102961] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 06/29/2023] [Accepted: 07/21/2023] [Indexed: 08/23/2023] Open
Abstract
Skeletal characteristics are important to the growth and development of poultry. In feeding management, constant free feeding (FF) of poultry may lead to imbalance between bone development and weight gain. Feed restriction (FR), to a certain extent, is one way to solve this problem. However, the effect of feed restriction on poultry bone development needs further elucidation at the molecular level. Therefore, in the present study, we investigated the effects of different levels of feed restriction (60% FR, 70% FR, 80% FR, and FF) on the sternum development of ducks at 7 and 8 wk old. In the seventh wk, with increasing feed restriction, the values of traits including body weight, breast muscle weight, sternal weight, keel length, and calcified keel length decreased. However, in the eighth wk, the sternum weight and keel length of ducks treated with 60% FR were unexpectedly higher than those of FF individuals, indicative of catch-up growth. Then, we conducted RNA-seq and metabolomic analysis on sterna from 7- and 8-wk-old FF and 60% FR ducks. The results identified multiple differentially expressed genes (DEGs) associated with sternum development that were influenced by feed restriction. Among them, we found that the mRNA expression levels of the chondroitin sulfate synthase 3 (CHSY3) and annexin A2 (ANXA2) which are involved in glycosaminoglycan biosynthesis and bone mineralization, had smaller changes over time under FR treatment than under FF treatment, implying that the FR treatment to a certain extent prevented the premature calcification and prolonged the development time of duck sternum. In addition, the metabolomic and integrative analyses revealed that several antiaging-related metabolites and genes were associated with sternal catch-up growth. Pyrimidine metabolism was identified as the most significant pathway in which most differential metabolites (DMs) between FF and 60% FR were enriched. The results from integrative analysis revealed that the content and expression of 4-aminobutyric acid (GABA) and its related genes showed relatively higher activity in the 60% FR group than in the FF group. The present study identifies multiple biomarkers associated with duck sternum development that are influenced by feed restriction and suggests the potential mechanism of feed restriction-associated duck sternal catch-up growth.
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Affiliation(s)
- Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Luyao Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Bin Wei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Xu Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Yinjuan Lu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Shenqiang Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Hua He
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Chunchun Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Yuanchun Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan 611130, P.R. China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, Chengdu, Sichuan 611130, P.R. China.
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20
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Liu H, Tang Q, Yan X, Wang L, Wang J, Yang Q, Wei B, Li J, Qi J, Hu J, Hu B, Han C, Wang J, Li L. Mass spectrometry-based metabolic profiling for identification of biomarkers related to footpad dermatitis in ducks. Br Poult Sci 2023; 64:577-585. [PMID: 37254666 DOI: 10.1080/00071668.2023.2214884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 03/02/2023] [Accepted: 04/04/2023] [Indexed: 06/01/2023]
Abstract
1. A new assessment method for duck footpad dermatitis (FPD) evaluation was developed, combining visual and histological characters using the images and sections of 400 ducks' feet at 340 d of age. All ducks were graded as G0 (healthy), G1 (mild), G2 (moderate) and G3 (severe) according to the degree of FPD.2. To reveal the potential biomarkers in serum related to duck FPD, non-targeted metabolomics and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were used to explore differential metabolites in each group.3. There were 57, 91 and 210 annotated differential metabolites in groups G1, G2 and G3 compared with G0, which meant that the severity of FPD increased in line with the number of metabolites. Four metabolites, L-phenylalanine, L-arginine, L-leucine and L-lysine, were considered potential biomarkers related to FPD.4. KEGG enrichment analysis showed that the FPD was mainly involved in glycolysis, the tricarboxylic acid (TCA) cycle, the pentose phosphate pathway and amino acid metabolism. These are related to production metabolism and can affect the physiological activities of ducks, which might explain the decrease in production performance.
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Affiliation(s)
- H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Q Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - X Yan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Q Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - B Wei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - B Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - C Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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21
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Yao L, Bao Y, Hu J, Zhang B, Wang Z, Wang X, Guo W, Wang D, Qi J, Tian M, Bao Y, Li H, Wang S. A lytic phage to control multidrug-resistant avian pathogenic Escherichia coli (APEC) infection. Front Cell Infect Microbiol 2023; 13:1253815. [PMID: 37743864 PMCID: PMC10513416 DOI: 10.3389/fcimb.2023.1253815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
The inappropriate use of antibiotics has led to the emergence of multidrug-resistant strains. Bacteriophages (phages) have gained renewed attention as promising alternatives or supplements to antibiotics. In this study, a lytic avian pathogenic Escherichia coli (APEC) phage designated as PEC9 was isolated and purified from chicken farm feces samples. The morphology, genomic information, optimal multiplicity of infection (MOI), one-step growth curve, thermal stability, pH stability, in vitro antibacterial ability and biofilm formation inhibition ability of the phage were determined. Subsequently, the therapeutic effects of the phages were investigated in the mice model. The results showed that PEC9 was a member of the siphovirus-like by electron microscopy observation. Biological characterization revealed that it could lyse two serotypes of E. coli, including O1 (9/20) and O2 (6/20). The optimal multiplicity of infection (MOI) of phage PEC9 was 0.1. Phage PEC9 had a latent period of 20 min and a burst period of 40 min, with an average burst size of 68 plaque-forming units (PFUs)/cell. It maintained good lytic activity at pH 3-11 and 4-50°C and could efficiently inhibit the bacterial planktonic cell growth and biofilm formation, and reduce bacterial counts within the biofilm, when the MOI was 0.01, 0.1, and 1, respectively. Whole-genome sequencing showed that PEC9 was a dsDNA virus with a genome of 44379 bp and GC content of 54.39%. The genome contains 56 putative ORFs and no toxin, virulence, or resistance-related genes were detected. Phylogenetic tree analysis showed that PEC9 is closely related to E. coli phages vB_EcoS_Zar3M, vB_EcoS_PTXU06, SECphi18, ZCEC10, and ZCEC11, but most of these phages exhibit different gene arrangement. The phage PEC9 could successfully protect mice against APEC infection, including improved survival rate, reduced bacterial loads, and organ lesions. To conclude, our results suggest that phage PEC9 may be a promising candidate that can be used as an alternative to antibiotics in the control of APEC infection.
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Affiliation(s)
- Lan Yao
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Yinli Bao
- Engineering Research Center for the Prevention and Control of Animal Original Zoonosis of Fujian Province University, College of Life Science, Longyan University, Fujian, China
| | - Jiangang Hu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Beibei Zhang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Zhiyang Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Xinyu Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Weiqi Guo
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Di Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Jingjing Qi
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Mingxing Tian
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Yanqing Bao
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Haihua Li
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Shaohui Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
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22
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Anker J, Pal SK, Kim-Schulze S, Wang H, Halperin R, Uzilov A, Imai N, Eikawa S, Saito T, Sebra R, Hahn NM, Patel M, Qi J, Xie H, Bhardwaj N, Gnjatic S, Galsky MD. Antitumor immunity as the basis for durable disease-free treatment-free survival in patients with metastatic urothelial cancer. J Immunother Cancer 2023; 11:e007613. [PMID: 37607770 PMCID: PMC10445357 DOI: 10.1136/jitc-2023-007613] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2023] [Indexed: 08/24/2023] Open
Abstract
Cisplatin-based chemotherapy has been associated with durable disease control in a small subset of patients with metastatic urothelial cancer. However, the mechanistic basis for this phenomenon has remained elusive. Antitumor immunity may underlie these exceptional responders. In a phase II trial evaluating a phased schedule of gemcitabine and cisplatin followed by gemcitabine and cisplatin with ipilimumab for metastatic urothelial cancer, 4 of 36 patients achieved durable disease-free treatment-free survival (DDFTFS) and remain in remission over 5 years after enrolment on the study. We sought to identify the genomic and immunological mechanisms associated with functional cures of such patients. Whole exome sequencing was performed on pretreatment archival tumor tissue. Neoantigen prediction and ranking were performed using a novel pipeline. For a subset of patients with available biospecimens, selected peptides were tested for neoantigen-specific T cell reactivity in peripheral blood CD4+ and CD8+ T cells cultured with autologous antigen-presenting cells at baseline, postchemotherapy, and postchemotherapy and ipilimumab timepoints. Multiplex assays of serum protein analytes were also assessed at each time point. Serum proteomic analysis revealed that pretreatment, patients achieving DDFTFS demonstrated an immune activated phenotype with elevations in TH1 adaptive immunity, costimulatory molecules, and immune checkpoint markers. After combination cisplatin-based chemotherapy and ipilimumab treatment, DDFTFS patients again displayed enrichment for markers of adaptive immunity, as well as T cell cytotoxicity. CD27 was uniquely enriched in DDFTFS patients at all timepoints. Neoantigen reactivity was not detected in any patient at baseline or post two cycles of chemotherapy. Both CD4+ and CD8+ neoantigen-specific T cell reactivity was detected in two of two DDFTFS patients in comparison to zero of five non-DDFTFS patients after combination cisplatin-based chemotherapy and ipilimumab treatment. Antitumor immunity may underlie functional cures achieved in patients with metastatic urothelial cancer treated with cisplatin-based chemotherapy and immune checkpoint blockade. Probing the mechanistic basis for DDFTFS may facilitate the identification of biomarkers, therapeutic components, and optimal treatment sequences necessary to extend this ultimate goal to a larger subset of patients.
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Affiliation(s)
- Jonathan Anker
- Department of Hematology and Medical Oncology, Mount Sinai School of Medicine, New York, New York, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sumanta K Pal
- Department of Hematology and Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Seunghee Kim-Schulze
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | - Naoko Imai
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Shingo Eikawa
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Takuro Saito
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Osaka University School of Medicine Graduate School of Medicine, Suita, Osaka, Japan
| | - Robert Sebra
- Sema4, Branford, Connecticut, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Noah M Hahn
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Manishkumar Patel
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jingjing Qi
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hui Xie
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nina Bhardwaj
- Department of Hematology and Medical Oncology, Mount Sinai School of Medicine, New York, New York, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sacha Gnjatic
- Department of Hematology and Medical Oncology, Mount Sinai School of Medicine, New York, New York, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matthew D Galsky
- Department of Hematology and Medical Oncology, Mount Sinai School of Medicine, New York, New York, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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23
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. First Dark Matter Search with Nuclear Recoils from the XENONnT Experiment. Phys Rev Lett 2023; 131:041003. [PMID: 37566859 DOI: 10.1103/physrevlett.131.041003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/22/2023] [Indexed: 08/13/2023]
Abstract
We report on the first search for nuclear recoils from dark matter in the form of weakly interacting massive particles (WIMPs) with the XENONnT experiment, which is based on a two-phase time projection chamber with a sensitive liquid xenon mass of 5.9 ton. During the (1.09±0.03) ton yr exposure used for this search, the intrinsic ^{85}Kr and ^{222}Rn concentrations in the liquid target are reduced to unprecedentedly low levels, giving an electronic recoil background rate of (15.8±1.3) events/ton yr keV in the region of interest. A blind analysis of nuclear recoil events with energies between 3.3 and 60.5 keV finds no significant excess. This leads to a minimum upper limit on the spin-independent WIMP-nucleon cross section of 2.58×10^{-47} cm^{2} for a WIMP mass of 28 GeV/c^{2} at 90% confidence level. Limits for spin-dependent interactions are also provided. Both the limit and the sensitivity for the full range of WIMP masses analyzed here improve on previous results obtained with the XENON1T experiment for the same exposure.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - F Agostini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Bazyk
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - E J Brookes
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | | | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | | | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Flierman
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - C Fuselli
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Guan
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - N F Hood
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Lombardi
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - R Singh
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - V H S Wu
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Y Xing
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- INFN-Ferrara and Dip. di Fisica e Scienze della Terra, Università di Ferrara, 44122 Ferrara, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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24
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Aprile E, Abe K, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Pellegrini Q, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Pollmann TR, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. Searching for Heavy Dark Matter near the Planck Mass with XENON1T. Phys Rev Lett 2023; 130:261002. [PMID: 37450817 DOI: 10.1103/physrevlett.130.261002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 07/18/2023]
Abstract
Multiple viable theoretical models predict heavy dark matter particles with a mass close to the Planck mass, a range relatively unexplored by current experimental measurements. We use 219.4 days of data collected with the XENON1T experiment to conduct a blind search for signals from multiply interacting massive particles (MIMPs). Their unique track signature allows a targeted analysis with only 0.05 expected background events from muons. Following unblinding, we observe no signal candidate events. This Letter places strong constraints on spin-independent interactions of dark matter particles with a mass between 1×10^{12} and 2×10^{17} GeV/c^{2}. In addition, we present the first exclusion limits on spin-dependent MIMP-neutron and MIMP-proton cross sections for dark matter particles with masses close to the Planck scale.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Bazyk
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - E J Brookes
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | | | - M Clark
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | | | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Flierman
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - C Fuselli
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Guan
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - N F Hood
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Lombardi
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - Q Pellegrini
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - T R Pollmann
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - R Singh
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - V H S Wu
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Y Xing
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- INFN-Ferrara and Dipartimento di Fisica e Scienze della Terra, Università di Ferrara, 44122 Ferrara, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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25
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Qi J, Liu J, Zhao X, Huang H, Tang Y, Li X. IL-27 enhances peripheral B cell glycolysis of rheumatoid arthritis patients via activating mTOR signaling. Int Immunopharmacol 2023; 121:110532. [PMID: 37354782 DOI: 10.1016/j.intimp.2023.110532] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 05/22/2023] [Accepted: 06/16/2023] [Indexed: 06/26/2023]
Abstract
Our previous study found that increased serum IL-27 could promote rheumatoid arthritis (RA) B cell dysfunction via activating mTOR signaling pathway. This study aimed to explore the effects of IL-27 on B cell metabolism and clarify the mechanisms via which IL-27 enhancing glycolysis to induce B cells hyperactivation. Peripheral CD19+ B cells were purified from healthy controls (HC) and RA patients and then cultured with or without anti-CD40/CpG and glycolysis inhibitor 2-deoxy-D-glucose (2-DG) or mTOR inhibitor rapamycin. Furthermore, the isolated CD19+ B cells were treated by HC serum or RA serum in the presence and absence of recombinant human IL-27 or anti-IL-27 neutralizing antibodies or 2-DG or rapamycin. The B cell glycolysis level, proliferation, differentiation and inflammatory actions were detected by qPCR, flow cytometry or ELISA. We found that the glycolysis in RA B cells was increased significantly compared with HC B cells. Glycolysis inhibition downregulated the proliferation, differentiation, and inflammatory actions of RA B cells. RA serum and IL-27 promoted B cell glycolysis, which could be obviously rescued by anti-IL-27 antibodies or mTOR inhibitor rapamycin. Our results suggest that the enhanced cellular glycolysis of RA B cells induced by IL-27 may contribute to B cells hyperactivation through activating the mTOR signaling pathway.
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Affiliation(s)
- Jingjing Qi
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian 116044, Liaoning, People's Republic of China
| | - Jiaqing Liu
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian 116044, Liaoning, People's Republic of China
| | - Xiangge Zhao
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian 116044, Liaoning, People's Republic of China
| | - Huina Huang
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian 116044, Liaoning, People's Republic of China
| | - Yawei Tang
- Department of Flow Cytometry Center, Clinical Laboratory, The Second Hospital of Dalian Medical University, Dalian 116044, Liaoning, People's Republic of China.
| | - Xia Li
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian 116044, Liaoning, People's Republic of China.
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Diray-Arce J, Fourati S, Doni Jayavelu N, Patel R, Maguire C, Chang AC, Dandekar R, Qi J, Lee BH, van Zalm P, Schroeder A, Chen E, Konstorum A, Brito A, Gygi JP, Kho A, Chen J, Pawar S, Gonzalez-Reiche AS, Hoch A, Milliren CE, Overton JA, Westendorf K, Cairns CB, Rouphael N, Bosinger SE, Kim-Schulze S, Krammer F, Rosen L, Grubaugh ND, van Bakel H, Wilson M, Rajan J, Steen H, Eckalbar W, Cotsapas C, Langelier CR, Levy O, Altman MC, Maecker H, Montgomery RR, Haddad EK, Sekaly RP, Esserman D, Ozonoff A, Becker PM, Augustine AD, Guan L, Peters B, Kleinstein SH. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients. Cell Rep Med 2023; 4:101079. [PMID: 37327781 PMCID: PMC10203880 DOI: 10.1016/j.xcrm.2023.101079] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 01/31/2023] [Accepted: 05/16/2023] [Indexed: 06/18/2023]
Abstract
The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28 days), ranging from milder (TG1-3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling of >15,000 longitudinal blood and nasal samples from 540 participants of the IMPACC cohort, using 14 distinct assays. These unbiased analyses identify cellular and molecular signatures present within 72 h of hospital admission that distinguish moderate from severe and fatal COVID-19 disease. Importantly, cellular and molecular states also distinguish participants with more severe disease that recover or stabilize within 28 days from those that progress to fatal outcomes (TG4 vs. TG5). Furthermore, our longitudinal design reveals that these biologic states display distinct temporal patterns associated with clinical outcomes. Characterizing host immune responses in relation to heterogeneity in disease course may inform clinical prognosis and opportunities for intervention.
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Affiliation(s)
- Joann Diray-Arce
- Clinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA 02115, USA; Precision Vaccines Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
| | - Slim Fourati
- Emory School of Medicine, Atlanta, GA 30322, USA
| | | | - Ravi Patel
- University of California San Francisco, San Francisco, CA 94115, USA
| | - Cole Maguire
- The University of Texas at Austin, Austin, TX 78712, USA
| | - Ana C Chang
- Clinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA 02115, USA
| | - Ravi Dandekar
- University of California San Francisco, San Francisco, CA 94115, USA
| | - Jingjing Qi
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brian H Lee
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Patrick van Zalm
- Precision Vaccines Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Andrew Schroeder
- University of California San Francisco, San Francisco, CA 94115, USA
| | - Ernie Chen
- Yale School of Medicine, New Haven, CT 06510, USA
| | | | | | | | - Alvin Kho
- Clinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA 02115, USA
| | - Jing Chen
- Clinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA 02115, USA; Precision Vaccines Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | | | - Annmarie Hoch
- Clinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA 02115, USA; Precision Vaccines Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Carly E Milliren
- Clinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA 02115, USA
| | | | | | - Charles B Cairns
- Drexel University, Tower Health Hospital, Philadelphia, PA 19104, USA
| | | | | | | | - Florian Krammer
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lindsey Rosen
- National Institute of Allergy and Infectious Diseases, National Institute of Health, Bethesda, MD 20814, USA
| | | | - Harm van Bakel
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael Wilson
- University of California San Francisco, San Francisco, CA 94115, USA
| | - Jayant Rajan
- University of California San Francisco, San Francisco, CA 94115, USA
| | - Hanno Steen
- Precision Vaccines Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Walter Eckalbar
- University of California San Francisco, San Francisco, CA 94115, USA
| | - Chris Cotsapas
- Yale School of Medicine, New Haven, CT 06510, USA; Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA
| | | | - Ofer Levy
- Precision Vaccines Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA
| | - Matthew C Altman
- Benaroya Research Institute, University of Washington, Seattle, WA 98101, USA
| | - Holden Maecker
- Stanford University School of Medicine, Palo Alto, CA 94305, USA
| | | | - Elias K Haddad
- Drexel University, Tower Health Hospital, Philadelphia, PA 19104, USA
| | | | | | - Al Ozonoff
- Clinical and Data Coordinating Center, Boston Children's Hospital, Boston, MA 02115, USA; Precision Vaccines Program, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA
| | - Patrice M Becker
- National Institute of Allergy and Infectious Diseases, National Institute of Health, Bethesda, MD 20814, USA
| | - Alison D Augustine
- National Institute of Allergy and Infectious Diseases, National Institute of Health, Bethesda, MD 20814, USA
| | - Leying Guan
- Yale School of Public Health, New Haven, CT 06510, USA
| | - Bjoern Peters
- La Jolla Institute for Immunology, La Jolla, CA 92037, USA
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27
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Xi Y, Wu Q, Zeng Y, Qi J, Li J, He H, Xu H, Hu J, Yan X, Bai L, Han C, Hu S, Wang J, Liu H, Li L. Identification of the genetic basis of the duck growth rate in multiple growth stages using genome-wide association analysis. BMC Genomics 2023; 24:285. [PMID: 37237371 DOI: 10.1186/s12864-023-09302-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/09/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND The genetic locus responsible for duck body size has been fully explained before, but the growth trait-related genetic basis is still waiting to be explored. For example, the genetic site related to growth rate, an important economic trait affecting marketing weight and feeding cost, is still unclear. Here, we performed genome wide association study (GWAS) to identify growth rate-associated genes and mutations. RESULT In the current study, the body weight data of 358 ducks were recorded every 10 days from hatching to 120 days of age. According to the growth curve, we evaluated the relative and absolute growth rates (RGR and AGR) of 5 stages during the early rapid growth period. GWAS results for RGRs identified 31 significant SNPs on autosomes, and these SNPs were annotated by 24 protein-coding genes. Fourteen autosomal SNPs were significantly associated with AGRs. In addition, 4 shared significant SNPs were identified as having an association with both AGR and RGR, which were Chr2: 11483045 C>T, Chr2: 13750217 G>A, Chr2: 42508231 G>A and Chr2: 43644612 C>T. Among them, Chr2: 11483045 C>T, Chr2: 42508231 G>A, and Chr2: 43644612 C>T were annotated by ASAP1, LYN and CABYR, respectively. ASAP1 and LYN have already been proven to play roles in the growth and development of other species. In addition, we genotyped every duck using the most significant SNP (Chr2: 42508231 G>A) and compared the growth rate difference among each genotype population. The results showed that the growth rates of individuals carrying the Chr2: 42508231 A allele were significantly lower than those without this allele. Moreover, the results of the Mendelian randomization (MR) analysis supported the idea that the growth rate and birth weight had a causal effect on the adult body weight, with the growth rate having a greater effect size. CONCLUSION In this study, 41 SNPs significantly related to growth rate were identified. In addition, we considered that the ASAP1 and LYN genes are essential candidate genes affecting the duck growth rate. The growth rate also showed the potential to be used as a reliable predictor of adult weight, providing a theoretical reference for preselection.
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Affiliation(s)
- Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Qifan Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Yutian Zeng
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Junpeng Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Hua He
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Hengyong Xu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Xiping Yan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Chunchun Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Shenqiang Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China.
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, People's Republic of China.
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28
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Wang J, Jiang S, Xi Y, Qi J, Ma S, Li L, Wang J, Bai L, He H, Xu H, Liu H. Integration of GWAS and eGWAS to screen candidate genes underlying green head traits in male ducks. Anim Genet 2023. [PMID: 37194451 DOI: 10.1111/age.13329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 03/15/2023] [Accepted: 04/21/2023] [Indexed: 05/18/2023]
Abstract
Sexually dimorphic plumage coloration is widespread in birds. The male possesses more brightly colored feathers than the female. Dark green head feathers comprise one of the most typical appearance characteristics of the male Ma duck compared with the female. However, there are noticeable individual differences observed in these characteristics. Herein, genome-wide association studies (GWAS) were employed to investigate the genetic basis of individual differences in male duck green head-related traits. Our results showed that 165 significant SNPs were associated with green head traits. Meanwhile, 71 candidate genes were detected near the significant SNPs, including four genes (CACNA1I, WDR59, GNAO1 and CACNA2D4) related to the individual differences in the green head traits of male ducks. Additionally, the eGWAS identified three SNPs located within two candidate genes (LOC101800026 and SYNPO2) associated with TYRP1 gene expression, and might be important regulators affecting the expression level of TYRP1 in the head skin of male ducks. Our data also suggested that transcription factor MXI1 might regulate the expression of TYRP1, thereby causing differences in the green head traits among male ducks. This study provided primary data for further analysis of the genetic regulation of duck feather color.
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Affiliation(s)
- Jianmei Wang
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Sichuan, China
| | - Shuaixue Jiang
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Sichuan, China
| | - Yang Xi
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Sichuan, China
| | - Jingjing Qi
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Sichuan, China
| | - Shengchao Ma
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Sichuan, China
| | - Liang Li
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
| | - Jiwen Wang
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
| | - Lili Bai
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
| | - Hua He
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
| | - Hengyong Xu
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
| | - Hehe Liu
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, Sichuan, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Sichuan, China
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Dong H, Zeng L, Chen W, Zhang Q, Wang F, Wu Y, Cui B, Qi J, Zhang X, Liu C, Deng J, Yu Y, Schmitt CA, Du J. N6-methyladenine-mediated aberrant activation of the lncRNA SOX2OT-GLI1 loop promotes non-small-cell lung cancer stemness. Cell Death Discov 2023; 9:149. [PMID: 37149646 PMCID: PMC10164154 DOI: 10.1038/s41420-023-01442-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 04/11/2023] [Accepted: 04/20/2023] [Indexed: 05/08/2023] Open
Abstract
Despite the advent of precision medicine and immunotherapy, mortality due to lung cancer remains high. The sonic hedgehog (SHH) cascade and its key terminal factor, glioma-associated oncogene homolog 1 (GLI1), play a pivotal role in the stemness and drug resistance of lung cancer. Here, we investigated the molecular mechanism of non-canonical aberrant GLI1 upregulation. The SHH cascade was upregulated in stem spheres and chemo-resistant lung cancer cells and was accountable for drug resistance against multiple chemotherapy regimens. GLI1 and the long non-coding RNA SOX2OT were positively regulated, and the GLI1-SOX2OT loop mediated the proliferation of parental and stem-like lung cancer cells. Further mechanistic investigation revealed that SOX2OT facilitated METTL3/14/IGF2BP2-mediated m6A modification and stabilization of the GLI1 mRNA. Additionally, SOX2OT upregulated METTL3/14/IGF2BP2 by sponging miR-186-5p. Functional analysis corroborated that GLI1 acted as a downstream target of METTL3/14/IGF2BP2, and GLI1 silencing could block the oncogenicity of lung cancer stem-like cells. Pharmacological inhibition of the loop remarkably inhibited the oncogenesis of lung cancer cells in vivo. Compared with paired adjacent normal tissues, lung cancer specimens exhibited consistently upregulated GLI1/SOX2OT/METTL3/14/IGF2BP2. The m6A-modified GLI1-SOX2OT loop may serve as a potential therapeutic target and prognostic predictor for lung cancer therapy and diagnosis in the clinic.
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Affiliation(s)
- Hongliang Dong
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Lili Zeng
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
- Department of Oral and Maxillofacial Surgery, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Weiwei Chen
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Qian Zhang
- Department of Pathology, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Fei Wang
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Yan Wu
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
- Department of Oncology, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Bingjie Cui
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Jingjing Qi
- Johannes Kepler University, Altenbergerstraße 69, 4040, Linz, Austria
| | - Xin Zhang
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
- Department of Hematology, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Cuilan Liu
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Jiong Deng
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China
| | - Yong Yu
- Johannes Kepler University, Altenbergerstraße 69, 4040, Linz, Austria
| | - Clemens A Schmitt
- Johannes Kepler University, Altenbergerstraße 69, 4040, Linz, Austria.
- Kepler University Hospital, Department of Hematology and Oncology, Krankenhausstraße 9, 4020, Linz, Austria.
- Charité-Universitätsmedizin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Medical Department of Hematology, Oncology and Tumor Immunology, and Molekulares Krebsforschungszentrum - MKFZ, Campus Virchow Klinikum, 13353, Berlin, Germany.
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Straße, 1013125, Berlin, Germany.
- Deutsches Konsortium für Translationale Krebsforschung (German Cancer Consortium), Partner site Berlin, Berlin, Germany.
| | - Jing Du
- Medical Research Center, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China.
- Department of Oncology, Binzhou Medical University Hospital, 256600, Binzhou, P. R. China.
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Qi J, Hong L, Wang Z, Liu Y, Shen L, Su B. Analysis and purification of innate lymphoid cells in human intestine and blood by flow cytometry. STAR Protoc 2023; 4:102180. [PMID: 36943862 PMCID: PMC10033740 DOI: 10.1016/j.xpro.2023.102180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/18/2023] [Accepted: 02/23/2023] [Indexed: 03/23/2023] Open
Abstract
The role of innate lymphoid cells (ILCs)-including natural killer cells, helper-like ILC1s, ILC2s, ILC3s, and lymphoid tissue inducers-in human cancer is still poorly understood due to the scarcity of cell number. To address this, we present a protocol to analyze or purify ILCs from human blood, adjacent intestine, and colorectal tumor tissue. We describe steps for tissue and blood treatment, density centrifugation, antibody staining, and cell sorting. For complete details on the use and execution of this protocol, please refer to Qi et al. (2021).1.
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Affiliation(s)
- Jingjing Qi
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, and Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Liwen Hong
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zhengting Wang
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yingbin Liu
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, and Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Lei Shen
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, and Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Bing Su
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, and Shanghai Institute of Cancer Biology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
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31
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Liu H, Xi Y, Tang Q, Qi J, Zhou Z, Guo Z, Fan W, Hu J, Xu Y, Liang S, Xie M, Tang J, Zhang Y, Hou S. Genetic fine-mapping reveals SNP mutations in the MC1R regulatory region associated with duck melanism. Mol Ecol 2023. [PMID: 36929535 DOI: 10.1111/mec.16924] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023]
Abstract
Birds are among the most colourful terrestrial vertebrates, with various plumage colours and patterns. We conducted a genome-wide association study (GWAS) on an intercross F2 population of Pekin ducks and mallards (n=722) and identified a 1.57 Mb genetic region (Chr11: 20,176,480-21,750,101 bp) related to duck melanism. Fine mapping by linkage disequilibrium (LD) and Fst analysis narrowed the final candidate region to a region of 22,500 bp (Chr11: 20,677,500-20,700,000 bp) including three coding genes, TCF25, MC1R, and TUBB3. Combined with transcriptome and qRT-PCR analysis, MC1R was identified as the unique genetic locus responsible for black plumage in ducks, and it was significantly more highly expressed in the feather bulbs of black ducks. We also identified 52 G>A (Chr11: 20,696,354 G>A) and 376 G>A (Chr11: 20,696,678 G>A) mutations in the MC1R coding region that have been widely studied in ducks. In addition, structural variations (SVs) were screened by nanopore sequencing, and no significant SV was found to be associated with the duck black plumage trait. However, we identified 4 novel SNPs in the MC1R regulator region (Chr11: 20,678,412 G>A, Chr11: 20,679,236 G>A, Chr11: 20,692,496 A>G, and Chr11: 20,692,791 A>G) that had a strong association with the black plumage phenotype of ducks and combined with potential changes in transcription binding affinities. The luciferase reporter gene assay demonstrated that Chr11: 20,678,412 G>A and Chr11: 20,679,236 G>A led to significant promoter activity changes. Our research emphasizes the importance of MC1R regulatory region mutation in determining the duck black plumage phenotype, and these results expand our understanding of the genetic mechanism underlying duck plumage colour.
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Affiliation(s)
- Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 613000, China.,State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 613000, China
| | - Qian Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 613000, China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 613000, China
| | - Zhengkui Zhou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Zhanbao Guo
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Wenlei Fan
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jian Hu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yaxi Xu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Suyun Liang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Ming Xie
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jing Tang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yunsheng Zhang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Shuisheng Hou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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Manning-Geist BL, Gnjatic S, Aghajanian C, Konner J, Kim SH, Sarasohn D, Soldan K, Tew WP, Sarlis NJ, Zamarin D, Kravetz S, Laface I, Rasalan-Ho T, Qi J, Wong P, Sabbatini PJ, O’Cearbhaill RE. Phase I Study of a Multivalent WT1 Peptide Vaccine (Galinpepimut-S) in Combination with Nivolumab in Patients with WT1-Expressing Ovarian Cancer in Second or Third Remission. Cancers (Basel) 2023; 15:1458. [PMID: 36900251 PMCID: PMC10001251 DOI: 10.3390/cancers15051458] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/19/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
We examined the safety and immunogenicity of sequential administration of a tetravalent, non-HLA (human leukocyte antigen) restricted, heteroclitic Wilms' Tumor 1 (WT1) peptide vaccine (galinpepimut-S) with anti-PD-1 (programmed cell death protein 1) nivolumab. This open-label, non-randomized phase I study enrolled patients with WT1-expressing ovarian cancer in second or third remission from June 2016 to July 2017. Therapy included six (every two weeks) subcutaneous inoculations of galinpepimut-S vaccine adjuvanted with Montanide, low-dose subcutaneous sargramostim at the injection site, with intravenous nivolumab over 12 weeks, and up to six additional doses until disease progression or toxicity. One-year progression-free survival (PFS) was correlated to T-cell responses and WT1-specific immunoglobulin (Ig)G levels. Eleven patients were enrolled; seven experienced a grade 1 adverse event, and one experienced a grade ≥3 adverse event considered a dose-limiting toxicity. Ten (91%) of eleven patients had T-cell responses to WT1 peptides. Seven (88%) of eight evaluable patients had IgG against WT1 antigen and full-length protein. In evaluable patients who received >2 treatments of galinpepimut-S and nivolumab, the 1-year PFS rate was 70%. Coadministration of galinpepimut-S and nivolumab demonstrated a tolerable toxicity profile and induced immune responses, as indicated by immunophenotyping and WT1-specific IgG production. Exploratory analysis for efficacy yielded a promising 1-year PFS rate.
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Affiliation(s)
- Beryl L. Manning-Geist
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Sacha Gnjatic
- Immune Monitoring Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Tisch Cancer Institute, Precision Immunology Institute, Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carol Aghajanian
- Department of Medicine, Weill Cornell Medical Center, New York, NY 10065, USA
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jason Konner
- Department of Medicine, Weill Cornell Medical Center, New York, NY 10065, USA
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Sarah H. Kim
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Debra Sarasohn
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Krysten Soldan
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - William P. Tew
- Department of Medicine, Weill Cornell Medical Center, New York, NY 10065, USA
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Dmitriy Zamarin
- Department of Medicine, Weill Cornell Medical Center, New York, NY 10065, USA
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Sara Kravetz
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ilaria Laface
- Tisch Cancer Institute, Precision Immunology Institute, Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Teresa Rasalan-Ho
- Immune Monitoring Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jingjing Qi
- Immune Monitoring Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Tisch Cancer Institute, Precision Immunology Institute, Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Phillip Wong
- Immune Monitoring Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Paul J. Sabbatini
- Department of Medicine, Weill Cornell Medical Center, New York, NY 10065, USA
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Roisin E. O’Cearbhaill
- Department of Medicine, Weill Cornell Medical Center, New York, NY 10065, USA
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Medicine, University of Galway, H91 YR71 Galway, Ireland
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Anker JF, Pal SM, Kim-Schulze S, Wang H, Halperin R, Uzilov A, Saito T, Hahn NM, Patel M, Qi J, Xie H, Bhardwaj N, Gnjatic S, Galsky MD. Antitumor immunity as the basis for durable disease-free, treatment-free survival (DDFTFS) in patients with metastatic urothelial cancer (mUC). J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.6_suppl.536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023] Open
Abstract
536 Background: Cisplatin-based chemotherapy has been associated with functional cures (i.e., DDFTFS) in a small subset of patients with mUC. However, the mechanistic basis for this phenomenon has remained elusive. Immune checkpoint blockade may enhance the ability of cisplatin-based chemotherapy to cure mUC, particularly if the latter is achieved by promoting antitumor immunity. From a phase II trial evaluating a phased schedule of gemcitabine and cisplatin (GC) followed by GC plus Ipilimumab (Ipi) for mUC, 4/36 patients were treatment-free disease-free >7 years after initiation of treatment. We sought to identify the immunological mechanisms associated with functional cure of such patients. Methods: Whole exome sequencing was performed on pre-treatment archival tumor tissue. Neoantigen binding affinity was predicted using NetMHCcons. Neoantigen-specific T cell response was assessed via IFNγ ELISpot assays after co-culture of patient-derived peripheral blood CD4+ and CD8+ T cells with autologous neoantigen-pulsed antigen presenting B cells. Serum protein soluble analytes were measured using the Olink Target 96 Immuno-Oncology Panel at the pre-treatment, post-GC, and post-GC+Ipi timepoints. Results: CD4+ and CD8+ neoantigen-specific T cell reactivity was measured at serial timepoints in 2 patients achieving DDFTFS and 5 patients not achieving DDFTFS. Strikingly, peripheral blood CD4+ and CD8+ T cell reactivity to a predicted neoantigen emerged on cycle 6 day 1 (after 2 cycles of GC followed by 4 cycles of GC + Ipi) in 2/2 patients achieving DDFTFS (variant in TP53 or DHX9) but in 0/5 patients not achieving DDFTFS. Peripheral serum proteomic analysis at serial timepoints (n = 35 patients) revealed that pre-treatment, patients achieving DDFTFS demonstrated an immune activated phenotype with elevations in cytotoxic adaptive immunity markers and immune checkpoints (Table). After the addition of Ipi, patients achieving DDFTFS demonstrated decreased markers of tumor-promoting inflammation but increased markers of adaptive immunity, co-stimulation, and cytotoxicity. Conclusions: Anti-tumor immunity may underlie functional cures achieved in patients with mUC treated with cisplatin-based chemotherapy +/- immune checkpoint blockade. Probing the mechanistic basis for DDFTFS may facilitate the identification of pre- and on-treatment features, and therapeutic components and sequences, necessary to extend this ultimate therapeutic goal to a larger subset of patients. [Table: see text]
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Affiliation(s)
| | | | - Seunghee Kim-Schulze
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | | | - Takuro Saito
- Osaka University Medical School, Suita-Shi, Japan
| | | | | | - Jingjing Qi
- Icahn School of Medicine at Mount Sinai, NY, NY
| | - Hui Xie
- Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nina Bhardwaj
- Icahn School of Medicine at Mount Sinai, New York, NY
| | - Sacha Gnjatic
- Icahn School of Medicine at Mount Sinai, New York, NY
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Daza J, Salomé B, Okhawere K, Bane O, Meilika KN, Korn TG, Qi J, Xe H, Patel M, Brody R, Kim-Schulze S, Sfakianos JP, Lewis S, Rich JM, Zuluaga L, Badani KK, Horowitz A. Urine supernatant reveals a signature that predicts survival in clear-cell renal cell carcinoma. BJU Int 2023. [PMID: 36797809 DOI: 10.1111/bju.15989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
OBJECTIVE To profile the cell-free urine supernatant and plasma of a small cohort of clear-cell renal cell carcinoma (ccRCC) patients by measuring the relative concentrations of 92 proteins related to inflammation. Using The Cancer Genome Atlas (TCGA), we then performed a targeted mRNA analysis of genes encoding the above proteins and defined their effects on overall survival (OS). SUBJECTS/PATIENTS AND METHODS Samples were collected prospectively from ccRCC patients. A multiplex proximity extension assay was used to measure the concentrations of 92 inflammation-related proteins in cell-free urine supernatants and plasma. Transcriptomic and clinical information from ccRCC patients was obtained from TCGA. Unsupervised clustering and differential protein expression analyses were performed on protein concentration data. Targeted mRNA analysis on genes encoding significant differentially expressed proteins was performed using TCGA. Backward stepwise regression analyses were used to build a nomogram. The performance of the nomogram and clinical benefit was assessed by discrimination and calibration, and a decision curve analysis, respectively. RESULTS Unsupervised clustering analysis revealed inflammatory signatures in the cell-free urine supernatant of ccRCC patients. Backward stepwise regressions using TCGA data identified transcriptomic risk factors and risk groups associated with OS. A nomogram to predict 2-year and 5-year OS was developed using these risk factors. The decision curve analysis showed that our model was associated with a net benefit improvement compared to the treat-all/none strategies. CONCLUSION We defined four novel biomarkers using proteomic and transcriptomic data that distinguish severity of prognosis in ccRCC. We showed that these biomarkers can be used in a model to predict 2-year and 5-year OS in ccRCC across different tumour stages. This type of analysis, if validated in the future, provides non-invasive prognostic information that could inform either management or surveillance strategies for patients.
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Affiliation(s)
- Jorge Daza
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bérengère Salomé
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kennedy Okhawere
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Octavia Bane
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kirolos N Meilika
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Talia G Korn
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jingjing Qi
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hui Xe
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manishkumar Patel
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rachel Brody
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Seunghee Kim-Schulze
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John P Sfakianos
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sara Lewis
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jordan M Rich
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura Zuluaga
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ketan K Badani
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amir Horowitz
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Wei J, Huang X, Zhang X, Chen G, Zhang C, Zhou X, Qi J, Zhang Y, Li X. Elevated fatty acid β-oxidation by leptin contributes to the proinflammatory characteristics of fibroblast-like synoviocytes from RA patients via LKB1-AMPK pathway. Cell Death Dis 2023; 14:97. [PMID: 36759597 PMCID: PMC9911755 DOI: 10.1038/s41419-023-05641-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 01/26/2023] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Fibroblast-like synoviocytes (FLS) maintain chronic inflammation leading to joint destruction in rheumatoid arthritis (RA). Fatty acid β-oxidation (FAO) regulates cell function. Here, we aimed to investigate the effect of FAO enhanced by leptin on the characteristics of RA-FLS and elucidate the potential metabolic mechanism. Key enzymes involved in lipid metabolism were detected with qPCR in HSF, MH7A cell line and isolated RA-FLS treated with RA or healthy control (HC) serum. In some experiments, FAO inhibitor, etomoxir (ETO) or anti-leptin antibody were added into serum-treated RA-FLS. In other experiments, RA-FLS were stimulated with leptin together with ETO or AMP-activated protein kinase (AMPK) inhibitor compound C (CC) or silencing liver kinase B1 (LKB1). Cell proliferation, proinflammatory factor production, pro-angiogenesis, chemoattractive potential, FAO-related key enzymes, AMPK and LKB1 in FLS were analyzed. FAO-related key enzymes were evaluated in serum-treated RA-FLS with or without anti-leptin antibody. Related functions of leptin-stimulated RA-FLS were examined in the presence or absence of ETO. AMP-activated protein kinase (AMPK) and liver kinase B1 (LKB1) in leptin-stimulated RA-FLS were tested with western blot. Activation of AMPK in leptin-stimulated RA-FLS was detected after silencing LKB1. We found that MH7A cell line and RA serum-treated FLS exhibited upregulated FAO, and ETO could inhibit the proinflammatory phenotypes of RA-FLS. The addition of anti-leptin antibody suppressed the elevation of FAO mediated by RA serum. More importantly, leptin promoted the proinflammatory characteristics of RA-FLS, which was reversed by ETO. Leptin activated AMPK by upregulating LKB1. CC impaired leptin-induced CPT-1A expression in RA-FLS. Our study uncovers that elevated FAO mediated by leptin drives abnormal function of RA-FLS and suggests leptin or FAO inhibition may serve as a promising therapeutic strategy for RA.
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Affiliation(s)
- Jing Wei
- Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Xinxin Huang
- Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Xing Zhang
- Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Guanghong Chen
- Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Cheng Zhang
- Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Xinyang Zhou
- Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Jingjing Qi
- Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Yan Zhang
- Department of Rheumatology, The Second Hospital Dalian Medical University, Dalian, China.
| | - Xia Li
- Basic Medical Sciences, Dalian Medical University, Dalian, China.
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Qi J, Zhou X, Bai Z, Lu Z, Zhu X, Liu J, Wang J, Jin M, Liu C, Li X. FcγRIIIA activation-mediated up-regulation of glycolysis alters MDSCs modulation in CD4 + T cell subsets of Sjögren syndrome. Cell Death Dis 2023; 14:86. [PMID: 36746935 PMCID: PMC9902521 DOI: 10.1038/s41419-023-05631-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 01/07/2023] [Accepted: 01/30/2023] [Indexed: 02/08/2023]
Abstract
Our and other researchers' previous studies found that myeloid-derived suppressor cells (MDSCs) were increased, and these MDSCs, supposed to play immunosuppressive roles, showed significant pro-inflammatory effects in Sjögren's syndrome (SS). However, the key factors and potential mechanisms leading MDSCs to be inflammatory remain unclear. In this study, we found that MDSCs from SS patients were positively correlated with the percentages of Th17 cells, disease activity and serum autoantibodies, and showed higher levels of Fc gamma receptor (FcγR) IIIA and glycolysis. Most importantly, SS MDSCs or heat-aggregated IgG (HAIG)-treated MDSCs down-regulated Th1/Th2 ratio and up-regulated Th17/Treg ratio, which could be obviously rescued by IgG monomer or glycolysis inhibitor 2-DG. As well, the levels of FcγRIV and glycolysis in MDSCs and the ratio of Th17/Treg were increased, and the ratio of Th1/Th2 was decreased in SS-like NOD mice. Our study indicated that MDSCs showed pro-inflammatory phenotypes by disturbing CD4+ T-cell balances in SS. The pro-inflammatory effects of MDSCs might be directly linked to the enhanced glycolysis mediated by FcγRIIIA activation.
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Affiliation(s)
- Jingjing Qi
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
| | - Xinyang Zhou
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
| | - Ziran Bai
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
| | - Zhimin Lu
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226006, People's Republic of China
| | - Xiaolu Zhu
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
| | - Jiaqing Liu
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
| | - Junli Wang
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
| | - Minli Jin
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China
| | - Chang Liu
- Department of Rheumatology and Immunology, Dalian Municipal Central Hospital, Dalian, Liaoning, 116083, People's Republic of China.
| | - Xia Li
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, People's Republic of China.
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Zhu A, Srivastava A, Dibianco J, Qi J, Dhir A, Maruf M, Ferrante S, Johnson A, Semerjian A, Davenport M, Mammen L, Dabaja A, Lane B, Ginsburg K, Witzke K, George A. Negative predictive value of prostate MRI in real world practice: Results from a statewide surgical collaborative in the United States. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00940-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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38
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Xiao N, Shinwari K, Kiselev S, Huang X, Li B, Qi J. Effects of Equine-Assisted Activities and Therapies for Individuals with Autism Spectrum Disorder: Systematic Review and Meta-Analysis. Int J Environ Res Public Health 2023; 20:2630. [PMID: 36767996 PMCID: PMC9915993 DOI: 10.3390/ijerph20032630] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/20/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Autism spectrum disorder (ASD) has become a critical public health issue that affects more than 78 million people. In many recent studies, the authors have demonstrated that equine-assisted activities and therapies (EAATs) can substantially improve the social and behavioral skills of children with ASD. However, the qualities of the studies differ, and some authors reached opposite conclusions. In this review, we systematically and objectively examined the effectiveness of EAATs for people with ASD, combining both qualitative and quantitative methods. We searched five databases (PubMed, Scopus, ERIC, ProQuest, and MEDLINE) and added relevant references, and we identified 25 articles for data extraction and analysis. According to our results, EAAT programs can substantially improve the social and behavioral functioning and language abilities of children with ASD. However, among the subdomains, the results were inconsistent. According to the meta-analyses, there were considerable improvements in the social cognition, communication, irritability, and hyperactivity domains, but not in the domains of social awareness, mannerisms, motivation, lethargy, stereotypy, or inappropriate speech. Moreover, there was a lack of sufficient comparative data to conclude that EAAT programs lead to substantial improvements in motor and sensory functioning. In addition, among the included studies, we noted the indicator of whether EAAT programs decreased parental stress and improved family functioning, and although there were four articles in which the researchers considered this aspect, we were unable to draw any conclusions because of the insufficient data and conflicting descriptive evidence. However, we need to consider the improvement in parental mental health as a factor in the effectiveness of this complementary intervention. We hope that in future studies, researchers will focus on family functioning and conduct more randomized controlled trials (RCTs) with blinded assessments using different scales and measures.
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Affiliation(s)
- Ningkun Xiao
- Department of Psychology, Institution of Humanities, Ural Federal University, Yekaterinburg 620075, Russia
| | - Khyber Shinwari
- Department of Immunochemistry, Institution of Chemical Engineering, Ural Federal University, Yekaterinburg 620075, Russia
| | - Sergey Kiselev
- Department of Psychology, Institution of Humanities, Ural Federal University, Yekaterinburg 620075, Russia
| | - Xinlin Huang
- Department of Psychology, Institution of Humanities, Ural Federal University, Yekaterinburg 620075, Russia
| | - Baoheng Li
- Engineering School of Information Technologies, Telecommunications and Control System, Ural Federal University, Yekaterinburg 620002, Russia
| | - Jingjing Qi
- Engineering School of Information Technologies, Telecommunications and Control System, Ural Federal University, Yekaterinburg 620002, Russia
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Qi J, Jiang Q, Wang P, Wang Z, Zhang X. Further analysis of natural antibodies against ischemic stroke. Front Neurol 2023; 14:1130748. [PMID: 36741286 PMCID: PMC9896516 DOI: 10.3389/fneur.2023.1130748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 01/05/2023] [Indexed: 01/21/2023] Open
Abstract
Background Our previous study revealed that circulating levels of IgG natural antibodies (NAbs) for vascular endothelial growth factor receptor 1 (VEGFR1) were significantly decreased in patients with arteriosclerosis compared with control subjects. To enhance the sensitivity of an enzyme-linked immunosorbent assay (ELISA) developed in-house for antibody testing, the present work was designed to investigate additive signals in the in-house ELISA developed with the combination of two or more linear peptide antigens derived from target proteins of interest, including VEGFR1, oxidized low-density lipoprotein receptor 1 (LOX-1), interleukins 6 (IL6) and 8 (IL8). Methods A total of 218 patients with ischemic stroke and 198 healthy controls were enrolled and an in-house ELISA was developed with linear peptides derived from VEGFR1, LOX-1, IL6, and IL8 to detect their IgG levels in plasma. Results Compared with control subjects, plasma levels of IgG NAbs for the IL6-IL8 combination were significantly lower in female patients (Z = -3.149, P = 0.002), whereas male patients showed significantly lower levels of plasma anti-VEGFR IgG (Z = -3.895, P < 0.001) and anti-LOX1a IgG (Z = -4.329, P < 0.001). Because plasma levels of IgG NAbs for both the IL6-IL8-LOX1a-LOX1b combination and the VEGFR1a-VEGFR1b-LOX1a-LOX1b combination were significantly lower in the patient group than the control group, receiver operating characteristic (ROC) analysis was performed and the results showed that the VEGFR1a-VEGFR1b-LOX1a-LOX1b combination had an area under the ROC curve (AUC) of 0.70 for its IgG assay with a sensitivity of 27.1% against the specificity of 95.5% and that the IL6-IL8-LOX1a-LOX1b combination had an AUC of 0.67 for its IgG assay with a sensitivity of 21.1% against the specificity of 95.5%. Spearman correlation analysis showed that plasma IgG NAbs against the IL6-IL8 combination were positively correlated with carotid plaque size only in male patients (r = 0.270, p = 0.002). Conclusions Circulating IgG NAbs for the target molecules studied may be potential biomarkers for a subgroup of ischemic stroke and also contribute to the gender differences in clinical presentation of the disease.
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Affiliation(s)
- Jingjing Qi
- Department of Neurology, The Second Hospital of Jilin University, Changchun, China,Department of Nephrology, The Second Hospital of Jilin University, Changchun, China
| | - Quanhang Jiang
- Department of Nephrology, The Second Hospital of Jilin University, Changchun, China
| | - Peng Wang
- Department of Neurology, The Second Hospital of Jilin University, Changchun, China
| | - Zhenqi Wang
- Key Laboratory of Radiobiology of National Health Commission (NHC), School of Public Health, Jilin University, Changchun, China
| | - Xuan Zhang
- Department of Nephrology, The Second Hospital of Jilin University, Changchun, China,*Correspondence: Xuan Zhang ✉
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40
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Li C, Dong L, Durairaj J, Guan JC, Yoshimura M, Quinodoz P, Horber R, Gaus K, Li J, Setotaw YB, Qi J, De Groote H, Wang Y, Thiombiano B, Floková K, Walmsley A, Charnikhova TV, Chojnacka A, Correia de Lemos S, Ding Y, Skibbe D, Hermann K, Screpanti C, De Mesmaeker A, Schmelz EA, Menkir A, Medema M, Van Dijk ADJ, Wu J, Koch KE, Bouwmeester HJ. Maize resistance to witchweed through changes in strigolactone biosynthesis. Science 2023; 379:94-99. [PMID: 36603079 DOI: 10.1126/science.abq4775] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Maize (Zea mays) is a major staple crop in Africa, where its yield and the livelihood of millions are compromised by the parasitic witchweed Striga. Germination of Striga is induced by strigolactones exuded from maize roots into the rhizosphere. In a maize germplasm collection, we identified two strigolactones, zealactol and zealactonoic acid, which stimulate less Striga germination than the major maize strigolactone, zealactone. We then showed that a single cytochrome P450, ZmCYP706C37, catalyzes a series of oxidative steps in the maize-strigolactone biosynthetic pathway. Reduction in activity of this enzyme and two others involved in the pathway, ZmMAX1b and ZmCLAMT1, can change strigolactone composition and reduce Striga germination and infection. These results offer prospects for breeding Striga-resistant maize.
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Affiliation(s)
- C Li
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - L Dong
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - J Durairaj
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands
| | - J-C Guan
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA
| | - M Yoshimura
- Laboratorium für Organische Chemie, Department of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zürich, Switzerland.,Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland.,Kyoto University, iCeMS, Yoshida Ushinomiya-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - P Quinodoz
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - R Horber
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - K Gaus
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - J Li
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Y B Setotaw
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - J Qi
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - H De Groote
- International Maize and Wheat Improvement Center (CIMMYT), PO Box 1041-00621, Nairobi, Kenya
| | - Y Wang
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - B Thiombiano
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - K Floková
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands.,Laboratory of Growth Regulators, Institute of Experimental Botany, The Czech Academy of Sciences and Faculty of Science, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech Republic
| | - A Walmsley
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - T V Charnikhova
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - A Chojnacka
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - S Correia de Lemos
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands.,Plant genomics and transcriptomics group, Institute of Biosciences, Sao Paulo State University, 13506-900 Rio Claro, Brazil
| | - Y Ding
- Section of Cell and Developmental Biology, University of California at San Diego; La Jolla, CA 92093, USA
| | - D Skibbe
- Seeds Research, Syngenta Crop Protection, LLC, Research Triangle Park, NC 27709, USA
| | - K Hermann
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - C Screpanti
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - A De Mesmaeker
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - E A Schmelz
- Section of Cell and Developmental Biology, University of California at San Diego; La Jolla, CA 92093, USA
| | - A Menkir
- International Institute of Tropical Agriculture, PMB 5320 Oyo Road, Ibadan, Nigeria
| | - M Medema
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands
| | - A D J Van Dijk
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands
| | - J Wu
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - K E Koch
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA
| | - H J Bouwmeester
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
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Qi J, Liu C, Bai Z, Li X, Yao G. T follicular helper cells and T follicular regulatory cells in autoimmune diseases. Front Immunol 2023; 14:1178792. [PMID: 37187757 PMCID: PMC10175690 DOI: 10.3389/fimmu.2023.1178792] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 04/13/2023] [Indexed: 05/17/2023] Open
Abstract
T follicular helper (Tfh) cells are heterogeneous and mainly characterized by expressing surface markers CXCR5, ICOS, and PD-1; cytokine IL-21; and transcription factor Bcl6. They are crucial for B-cell differentiation into long-lived plasma cells and high-affinity antibody production. T follicular regulatory (Tfr) cells were described to express markers of conventional T regulatory (Treg) cells and Tfh cells and were able to suppress Tfh-cell and B-cell responses. Evidence has revealed that the dysregulation of Tfh and Tfr cells is positively associated with the pathogenic processes of autoimmune diseases. Herein, we briefly introduce the phenotype, differentiation, and function of Tfh and Tfr cells, and review their potential roles in autoimmune diseases. In addition, we discuss perspectives to develop novel therapies targeting Tfh/Tfr balance.
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Affiliation(s)
- Jingjing Qi
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, China
- *Correspondence: Genhong Yao, ; Jingjing Qi,
| | - Chang Liu
- Department of Rheumatology and Immunology, Dalian Municipal Central Hospital, Dalian, Liaoning, China
| | - Ziran Bai
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, China
| | - Xia Li
- Department of Immunology, College of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, China
| | - Genhong Yao
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
- *Correspondence: Genhong Yao, ; Jingjing Qi,
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Deng L, Zhang Y, Qi J, Huang S, Yang X, Wang J. Enhancement of cone beam CT image registration by super-resolution pre-processing algorithm. Math Biosci Eng 2023; 20:4403-4420. [PMID: 36896505 DOI: 10.3934/mbe.2023204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
In order to enhance cone-beam computed tomography (CBCT) image information and improve the registration accuracy for image-guided radiation therapy, we propose a super-resolution (SR) image enhancement method. This method uses super-resolution techniques to pre-process the CBCT prior to registration. Three rigid registration methods (rigid transformation, affine transformation, and similarity transformation) and a deep learning deformed registration (DLDR) method with and without SR were compared. The five evaluation indices, the mean squared error (MSE), mutual information, Pearson correlation coefficient (PCC), structural similarity index (SSIM), and PCC + SSIM, were used to validate the results of registration with SR. Moreover, the proposed method SR-DLDR was also compared with the VoxelMorph (VM) method. In rigid registration with SR, the registration accuracy improved by up to 6% in the PCC metric. In DLDR with SR, the registration accuracy was improved by up to 5% in PCC + SSIM. When taking the MSE as the loss function, the accuracy of SR-DLDR is equivalent to that of the VM method. In addition, when taking the SSIM as the loss function, the registration accuracy of SR-DLDR is 6% higher than that of VM. SR is a feasible method to be used in medical image registration for planning CT (pCT) and CBCT. The experimental results show that the SR algorithm can improve the accuracy and efficiency of CBCT image alignment regardless of which alignment algorithm is used.
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Affiliation(s)
- Liwei Deng
- Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin 150080, China
| | - Yuanzhi Zhang
- Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin 150080, China
| | - Jingjing Qi
- Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, Harbin University of Science and Technology, Harbin 150080, China
| | - Sijuan Huang
- Department of Radiation Oncology; Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China
| | - Xin Yang
- Department of Radiation Oncology; Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China
| | - Jing Wang
- Faculty of Rehabilitation Medicine, Biofeedback Laboratory, Guangzhou Xinhua University, Guangzhou 510520, China
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Chiu D, Qi J, Thin TH, Garcia-Barros M, Lee B, Hahn M, Mandeli J, Belani P, Nael K, Rashidipour O, Ghatan S, Hadjipanayis CG, Yong RL, Germano IM, Brody R, Tsankova NM, Gnjatic S, Kim-Schulze S, Hormigo A. A Phase I Trial of VEGF-A Inhibition Combined with PD-L1 Blockade for Recurrent Glioblastoma. Cancer Res Commun 2023; 3:130-139. [PMID: 36968223 PMCID: PMC10035521 DOI: 10.1158/2767-9764.crc-22-0420] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/08/2022] [Accepted: 01/06/2023] [Indexed: 01/11/2023]
Abstract
Purpose The treatment of glioblastoma (GBM) poses challenges. The use of immune checkpoint inhibition (ICI) has been disappointing as GBM is characterized by low mutational burden and low T-cell infiltration. The combination of ICI with other treatment modalities may improve efficacy. Patient and Methods Patients with recurrent GBM were treated with avelumab, a human IgG1 antibody directed against PD-L1 (part A), or avelumab within a week after laser interstitial thermal therapy (LITT) and continuation of avelumab (part B). Bevacizumab was allowed to be combined with ICI to spare steroid use. The primary objective was to characterize the tolerability and safety of the regimens. The secondary objectives included overall survival, progression-free survival (PFS), signatures of plasma analytes, and immune cells. Results A total of 12 patients (median age 64; range, 37-73) enrolled, five in part A and seven in part B. Two serious adverse events occurred in the same patient, LITT treated, not leading to death. The median survival from enrollment was 13 months [95% confidence interval (CI), 4-16 months] with no differences for part A or B. The median PFS was 3 months (95% CI, 1.5-4.5 months). The decrease in MICA/MICB, γδT cells, and CD4+ T cell EMRA correlated with prolonged survival. Conclusions Avelumab was generally well tolerated. Adding bevacizumab to ICI may be beneficial by lowering cytokine and immune cell expression. The development of this combinatorial treatment warrants further investigation. Exploring the modulation of adaptive and innate immune cells and plasma analytes as biomarker signatures may instruct future studies in this dismal refractory disease. Significance Our phase I of PD-L1 inhibition combined with LITT and using bevacizumab to spare steroids had a good safety profile for recurrent GBM. Developing combinatory treatment may help outcomes. In addition, we found significant immune modulation of cytokines and immune cells by bevacizumab, which may enhance the effect of ICI.
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Affiliation(s)
- Daniel Chiu
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jingjing Qi
- Departments of Oncological Sciences, Medicine (Hematology/Oncology), and Pathology and Precision Immunology Institute, Human Immune Monitoring Center, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Tin Htwe Thin
- Department of Pathology, Mount Sinai Medical Center, New York, New York
| | | | - Brian Lee
- Departments of Oncological Sciences, Medicine (Hematology/Oncology), and Pathology and Precision Immunology Institute, Human Immune Monitoring Center, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Mary Hahn
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - John Mandeli
- Environmental Medicine and Public Health, Mount Sinai Medical Center, New York, New York
| | - Puneet Belani
- Diagnostic, Molecular & Interventional Radiology, Mount Sinai Medical Center, New York, New York
| | - Kambiz Nael
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Omid Rashidipour
- Department of Pathology, Mount Sinai Medical Center, New York, New York
| | - Saadi Ghatan
- Departments of Oncological Sciences, Medicine (Hematology/Oncology), and Pathology and Precision Immunology Institute, Human Immune Monitoring Center, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
- Departments of Neurological Surgery and Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Constantinos G. Hadjipanayis
- Departments of Neurological Surgery and Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Raymund L. Yong
- Departments of Neurological Surgery and Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Isabelle M. Germano
- Departments of Neurological Surgery and Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rachel Brody
- Department of Pathology, Mount Sinai Medical Center, New York, New York
| | | | - Sacha Gnjatic
- Departments of Oncological Sciences, Medicine (Hematology/Oncology), and Pathology and Precision Immunology Institute, Human Immune Monitoring Center, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Seunghee Kim-Schulze
- Departments of Oncological Sciences, Medicine (Hematology/Oncology), and Pathology and Precision Immunology Institute, Human Immune Monitoring Center, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Adília Hormigo
- Montefiore Einstein Cancer Center, and Departments of Hematology-Oncology, Neurosurgery, Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, New York
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Hu Z, Li H, Zhao Y, Wang G, Shang Y, Chen Y, Wang S, Tian M, Qi J, Yu S. NADH oxidase of Mycoplasma synoviae is a potential diagnostic antigen, plasminogen/fibronectin binding protein and a putative adhesin. BMC Vet Res 2022; 18:455. [PMID: 36581820 PMCID: PMC9798693 DOI: 10.1186/s12917-022-03556-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 12/16/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Mycoplasma synoviae (MS) is an important pathogen causing respiratory diseases and arthritis in chickens and turkeys, thus, resulting in serious economic losses to the poultry industry. Membrane-associated proteins are thought to play important roles in cytoadherence and pathogenesis. NADH oxidase (NOX) is an oxidoreductase involved in glycolysis, which is thought to be a multifunctional protein and potential virulence factor in some pathogens. However, little is known regarding the NOX of MS (MSNOX). We previously demonstrated that MSNOX was a metabolic enzyme distributed in not only the cytoplasm but also the MS membrane. This study was aimed at exploring NOX's potential as a diagnostic antigen and its role in MS cytoadherence. RESULTS Western blots and ELISAs indicated that recombinant MSNOX (rMSNOX) protein reacted with sera positive for various MS isolates, but not MG isolates or other avian pathogens, thus, suggesting that rMSNOX is a potential diagnostic antigen. In addition, rabbit anti-rMSNOX serum showed substantial complement-dependent mycoplasmacidal activity toward various MS isolates and MG Rlow. MSNOX protein was found not only in the cytoplasm but also on the membrane of MS through suspension immunofluorescence and immunogold electron microscopy assays. Indirect immunofluorescence assays indicated that rMSNOX adhered to DF-1 cells, and this adherence was inhibited by rabbit anti-rMSNOX, but not anti-MG serum. Furthermore, indirect immunofluorescence and colony counting assays confirmed that the rabbit anti-rMSNOX serum inhibited the adherence of various MS isolates but not MG Rlow to DF-1 cells. Moreover, plasminogen (Plg)- and fibronectin (Fn)-binding assays demonstrated that rMSNOX bound Plg and Fn in a dose-dependent manner, thereby further confirming that MSNOX may be a putative adhesin. CONCLUSION MSNOX was identified to be a surface immunogenic protein that has good immunoreactivity and specificity in Western blot and ELISA, and therefore, may be used as a potential diagnostic antigen in the future. In addition, rMSNOX adhered to DF-1 cells, an effect inhibited by rabbit anti-rMSNOX, but not anti-MG serum, and anti-rMSNOX serum inhibited the adherence of various MS isolates, but not MG Rlow, to DF-1 cells, thus indicating that the inhibition of adherence by anti-MSNOX serum was MS specific. Moreover, rMSNOX adhered to extracellular matrix proteins including Plg and Fn, thus suggesting that NOX may play important roles in MS cytoadherence and pathogenesis. Besides, rabbit anti-rMSNOX serum presented complement-dependent mycoplasmacidal activity toward both MS and MG, indicating the MSNOX may be further studied as a potential protective vaccine candidate.
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Affiliation(s)
- Zengjin Hu
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China ,grid.411389.60000 0004 1760 4804College of Animal Science and Technology, Anhui Agricultural University, No. 130 Changjiangxilu, Hefei, Anhui 230061 People’s Republic of China
| | - Haoran Li
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China ,grid.411389.60000 0004 1760 4804College of Animal Science and Technology, Anhui Agricultural University, No. 130 Changjiangxilu, Hefei, Anhui 230061 People’s Republic of China
| | - Yuxin Zhao
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China ,grid.268415.cCollege of Veterinary Medicine, Yangzhou University, No. 88 University South Road, Yangzhou, Jiangsu 225009 People’s Republic of China
| | - Guijun Wang
- grid.411389.60000 0004 1760 4804College of Animal Science and Technology, Anhui Agricultural University, No. 130 Changjiangxilu, Hefei, Anhui 230061 People’s Republic of China
| | - Yuanbing Shang
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China
| | - Yuetong Chen
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China
| | - Shaohui Wang
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China
| | - Mingxing Tian
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China
| | - Jingjing Qi
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China
| | - Shengqing Yu
- grid.464410.30000 0004 1758 7573Shanghai Veterinary Research Institute, the Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241 People’s Republic of China
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Hu J, Afayibo DJA, Zhang B, Zhu H, Yao L, Guo W, Wang X, Wang Z, Wang D, Peng H, Tian M, Qi J, Wang S. Characteristics, pathogenic mechanism, zoonotic potential, drug resistance, and prevention of avian pathogenic Escherichia coli (APEC). Front Microbiol 2022; 13:1049391. [PMID: 36583051 PMCID: PMC9793750 DOI: 10.3389/fmicb.2022.1049391] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/21/2022] [Indexed: 12/15/2022] Open
Abstract
Although most Escherichia coli (E. coli) strains are commensal and abundant, certain pathogenic strains cause severe diseases from gastroenteritis to extraintestinal infections. Extraintestinal pathogenic E. coli (ExPEC) contains newborn meningitis E. coli (NMEC), uropathogenic E. coli (UPEC), avian pathogenic E. coli (APEC), and septicemic E. coli (SEPEC) based on their original host and clinical symptom. APEC is a heterogeneous group derived from human ExPEC. APEC causes severe respiratory and systemic diseases in a variety of avians, threatening the poultry industries, food security, and avian welfare worldwide. APEC has many serotypes, and it is a widespread pathogenic bacterium in poultry. In addition, ExPEC strains share significant genetic similarities and similar pathogenic mechanisms, indicating that APEC potentially serves as a reservoir of virulence and resistance genes for human ExPEC, and the virulence and resistance genes can be transferred to humans through food animals. Due to economic losses, drug resistance, and zoonotic potential, APEC has attracted heightened awareness. Various virulence factors and resistance genes involved in APEC pathogenesis and drug resistance have been identified. Here, we review the characteristics, epidemiology, pathogenic mechanism zoonotic potential, and drug resistance of APEC, and summarize the current status of diagnosis, alternative control measures, and vaccine development, which may help to have a better understanding of the pathogenesis and resistance of APEC, thereby reducing economic losses and preventing the spread of multidrug-resistant APEC to humans.
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Shi J, Liu SX, Li JW, Liu YQ, Ma JX, Qi J, Chen LX, Zhou BY, Wang SJ, Yu PL. [Study on the reliability and validity of the Chinese Criteria of Health Scale for the elderly people]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1809-1814. [PMID: 36536570 DOI: 10.3760/cma.j.cn112150-20220223-00170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To evaluate the reliability and validity of the Chinese Criteria of Health Scale for the elderly people. Methods: A cross-sectional study was performed among older adults of Meiyuan Community in Haidian District, Beijing and Nanwangkong Village in Qingzhou City,Shandong Province during July 2021. Using a cluster sampling method, totally 667 elderly people were investigated by face-to-face interview, using the scale which was formulated after two rounds of the Delphi method and pilot study. The overall scale includes physical health, mental health and social health subscales, including 9, 52 and 15 items, respectively. Four weeks after the survey, 56 elderly people were randomly selected and repeated the survey with the same method. The test-retest reliability, split-half reliability and internal consistency reliability of the scale were evaluated, and the validity was evaluated at the same time, including construct validity and content validity. Results: A total of 710 questionnaires were distributed and 667 valid questionnaires were obtained, with a total effective rate of 93.94%. The score of the overall scale was 79.79±16.22, the scores of the physical health, mental health, social health sub-scores were 41.64±9.76, 26.82±3.92 and 11.34±5.19, respectively. The scale had excellent reliability. In the test-retest reliability, the intraclass correlation coefficient (ICC) of the overall scale and each subscale were 0.766-0.861, and the weighted Kappa values were 0.762-0.817. The Spearman-Brown coefficient of the overall scale and each subscale in the split-half reliability were 0.722-0.855 (all P<0.001). The Cronbach's α coefficients of the overall scale of internal consistency reliability and each subscale were 0.748-0.899, and the Cronbach's α coefficients of each dimension were from 0.709 to 0.963(all P<0.001). At the same time, the scale had good construct validity and content validity. The correlation coefficients between the score of each dimension and its sub-scale were larger, from 0.641 to 0.873 (all P<0.05). The cumulative variance contribution rates of the scale and three subscales were all more than 50% of the approved standard. A total of 11 common factors were extracted, and all the load values of each item on the corresponding factors were ≥0.04. Conclusion: The Chinese Criteria of Health Scale for the elderly people has good validity and excellent reliability. It can be used as a basis for the scientific division of the health status of the elderly, the formulation of relevant policies by the government and the provision of appropriate health services for the elderly.
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Affiliation(s)
- J Shi
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - S X Liu
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J W Li
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Q Liu
- Malianwa Street Office, Haidian District, Beijing 100193, China
| | - J X Ma
- Shangdong Center for Disease Control and Prevention, Ji'nan 250014, China
| | - J Qi
- Malianwa Street Office, Haidian District, Beijing 100193, China
| | - L X Chen
- Shangdong Center for Disease Control and Prevention, Ji'nan 250014, China
| | - B Y Zhou
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - S J Wang
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P L Yu
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
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Politis MD, Yao M, Gennings C, Tamayo-Ortiz M, Valvi D, Kim-Schulze S, Qi J, Amarasiriwardena C, Pantic I, Tolentino MC, Estrada-Gutierrez G, Greenberg JH, Téllez-Rojo MM, Wright RO, Sanders AP, Rosa MJ. Prenatal Metal Exposures and Associations with Kidney Injury Biomarkers in Children. Toxics 2022; 10:692. [PMID: 36422900 PMCID: PMC9699100 DOI: 10.3390/toxics10110692] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 06/16/2023]
Abstract
Prenatal exposure to arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb) may be nephrotoxic, yet limited studies have examined subclinical kidney injury biomarkers in children. We assessed whether metal exposure in the second trimester (2T), a crucial time of kidney development, is associated with altered urine kidney injury and function biomarkers in preadolescent children. Analyses included 494 children participating in a birth cohort study in Mexico City. Concentrations of As, Cd, and Pb were measured from pregnant women in 2T blood and urine, and Hg in urine only. Kidney biomarkers were measured from children in urine at age 8-12 years. We assessed the associations between individual metals and (1) kidney biomarkers using linear regression and (2) a multi-protein kidney mixture using weighted quantile sum (WQS) regression. Associations of separate urine and blood metal mixtures with individual kidney biomarkers were assessed via WQS. Within the multi-protein mixture, the association with increased urinary As was predominated by urine alpha-1-microglobulin (A1M), interferon gamma-induced protein 10 (IP10), and fatty acid binding protein 1; the association with increased urinary Cd was predominated by A1M, clusterin, and albumin. The urine metal mixture was associated with increased albumin (0.23 ng/mL; 95% confidence interval (CI): 0.10, 0.37), IP10 (0.15 ng/mL; 95% CI: 0.02, 0.28), and cystatin C (0.17 ng/mL; 95% CI: 0.04, 0.31); these associations were mainly driven by urinary As and Cd. We observed null associations between prenatal blood or urine metal mixtures and estimated glomerular filtration rate. Higher prenatal urinary metals, individually and as a mixture were associated with altered kidney injury biomarkers in children. Further research and longer participant follow-up are required to ascertain the risk of kidney disease later in life.
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Affiliation(s)
- Maria D. Politis
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Meizhen Yao
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chris Gennings
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Marcela Tamayo-Ortiz
- Occupational Health Research Unit, Mexican Social Security Institute, Mexico City 06600, Mexico
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Oncological Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jingjing Qi
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chitra Amarasiriwardena
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ivan Pantic
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca 62100, Mexico
- Department of Developmental Neurobiology, National Institute of Perinatology, Mexico City 06600, Mexico
| | - Mari Cruz Tolentino
- Department of Nutrition, National Institute of Perinatology, Mexico City 06600, Mexico
| | | | - Jason H. Greenberg
- Department of Pediatrics, Section of Nephrology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Martha M. Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca 62100, Mexico
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alison P. Sanders
- Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Maria José Rosa
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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Yan X, Hu J, Qi J, Tang Q, Li J, Bai L, Tang B, Ouyang Q, Wu T, He H, Li L, Xu H, Wang J, Han X, Zeng X, Liu H. Research Note: Integrated transcriptomic and metabolomic analysis reveals potential candidate genes and regulatory pathways associated with egg weight in ducks. Poult Sci 2022; 102:102341. [PMID: 36481710 PMCID: PMC9731842 DOI: 10.1016/j.psj.2022.102341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 11/09/2022] [Accepted: 11/09/2022] [Indexed: 11/15/2022] Open
Abstract
Egg weight is an important indicator of egg phenotypic traits, which directly affects the economic benefits of the poultry industry. In the present research, laying ducks were classified into high egg weight (HEW) and light egg weight (LEW) groups. To reveal the underlying mechanism that may be responsible for the egg weight difference, the integrated analysis of transcriptomes and serum metabolomics was performed between the two groups. The results showed extremely significant differences (P < 0.01) in the total egg weight at 300 d, and average egg weight between the HEW and LEW groups. 733, 591, 82, and 74 differentially expressed genes (DEGs) were identified in the liver, magnum, F1, and F5 (hierarchical follicles) follicle membrane, respectively. The candidate genes were screened further from the perspective of forming an egg. In terms of egg yolk formation, the functional analysis revealed fatty acid metabolism-related pathways account for 36% of the liver's top pathways, including fatty acid biosynthesis, folate biosynthesis, fatty acid metabolism, and glycerol lipid metabolism pathways. FASN gene was identified as the key candidate gene by comprehensive analysis of gene expression and protein-protein interaction (PPI) network. In the follicle membrane, the DEGs were mainly enriched in protein processing in the endoplasmic reticulum, and MAPK signaling pathway, and HSPA2, HSPA8, BAG3 genes were identified as crucial candidate genes. In terms of egg white formation, the functional analysis revealed protein metabolism-related pathways account for 40% of the magnum's top pathways, which includes protein processing in the endoplasmic reticulum pathway. HSP90AA1 and HSPA8 genes were identified as key candidate genes. In addition, the integrated transcriptomic and metabolomic analysis showed that arginine and proline metabolism pathways could contribute to differences in egg weight. Thus, we speculated that the potential candidate genes, regulatory pathways, and metabolic biomarkers mentioned above might be responsible for the egg weight difference. These findings might provide a theoretical basis for improving the egg weight of ducks.
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Affiliation(s)
- Xiping Yan
- A Department of Engineering and Applied Biology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, 625014, China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Qian Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Junpeng Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Bincheng Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Qingyuan Ouyang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Tianhao Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Hua He
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Hengyong Xu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Jiweng Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
| | - Xingfa Han
- A Department of Engineering and Applied Biology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, 625014, China
| | - Xianyin Zeng
- A Department of Engineering and Applied Biology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, 625014, China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Chengdu Campus, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China.
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Zuo D, Yin Y, Fang T, Jiang H, Ding J, Hu H, Wang S, Qi J, Tian M, Yu S. A homolog of low molecular weight protein tyrosine phosphatase isolated from Brucella melitensis displays an acidic dual specific phosphatase activity, nonessential for bacterial resistance to bactericidal factors and virulence. Comp Immunol Microbiol Infect Dis 2022; 90-91:101904. [DOI: 10.1016/j.cimid.2022.101904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/27/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022]
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Liu H, Wei B, Tang Q, Chen C, Li Y, Yang Q, Wang J, Li J, Qi J, Xi Y, Hu J, Hu B, Bai L, Han C, Wang J, Li L. Non-target metabolomics reveals the changes of small molecular substances in duck breast meat under different preservation time. Food Res Int 2022; 161:111859. [PMID: 36192983 DOI: 10.1016/j.foodres.2022.111859] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 08/04/2022] [Accepted: 08/21/2022] [Indexed: 12/31/2022]
Abstract
Poultry products are an essential animal source of protein for humans. Many factors could destroy the balance of the poultry production chain and cause an overstock of products, which need to be stored in the frozen storage warehouse for a long time. The long-term frozen storage may affect the quality of meat products. In this study, the changes of small molecular substances were revealed in duck meat during long-term storage using non-targeted metabolomics. The results showed that compared with fresh meat, even if the meat is stored under frozen storage conditions, the number of differential metabolites of frozen storage meat continues to increase with the prolongation of storage time, indicating that the meat composition has changed significantly with the storage time increased. With the increase in storage time, the nitrogen-containing small molecular compounds in duck meat increased (carnosine and anserine, aspartic acid, and tyrosine, 1H-indole-3-acetamide, 2-Hydroxyphenethylamine, 2-Naphylamine, allocystathionine, and O-phosphoethanolamine), the nucleotides decomposition process strengthened (IMP and AMP, GMP and UMP), and the content of organic acid increased (5-hydroxy indole acetic acid, 5-hydroxypentanoic acid and phenylacetate, taurine) and carbohydrate (1-O-sinapoyl-beta-d-glucose, 4-O-beta-d-glucopyranosyl-d-mannose, and alpha-d-glucose). These small molecular substances can be used as biomarkers to detect long-term stored duck meat deterioration. KEGG enrichment analysis showed that protein catabolism, nucleotide catabolism, fat decomposition and oxidation, and carbohydrate decomposition were the main metabolic processes of meat deterioration during the long-term storage of duck meat. In addition, Non-target metabolome technology is a powerful tool to reveal the meat deterioration process during long-term storage systematically. This study provided a reference for optimizing domestic poultry meat storage methods and ensuring food safety.
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Affiliation(s)
- Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Bin Wei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Qian Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Cai Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Yanying Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Qinglan Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jianmei Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Junpeng Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Bo Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Chunchun Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China.
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