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Wang Y, Wang S, Mabrouk I, Zhou Y, Fu X, Song Y, Ma J, Hu X, Yang Z, Liu F, Hou J, Yu J, Sun Y. In ovo injection of AZD6244 suppresses feather follicle development by the inhibition of ERK and Wnt/β-catenin pathways in goose embryos ( Anser cygnoides). Br Poult Sci 2024:1-8. [PMID: 38393940 DOI: 10.1080/00071668.2024.2309550] [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: 09/28/2023] [Accepted: 01/05/2024] [Indexed: 02/25/2024]
Abstract
1. Feathers are an important product from poultry, and the state of feather growth and development plays an important role in their economic value.2. In total, 120 eggs were selected for immunoblotting and immunolocalisation experiments of ERK and β-catenin proteins in different developmental stages of goose embryos. The ERK protein was highly expressed in the early stage of goose embryo development, while β-catenin protein was highly expressed in the middle stage of embryo development.3. The 120 eggs were divided into four treatment groups, including an uninjected group (BLANK), a group injected with 100 µl of cosolvent (CK), a group injected with 100 µl of AZD6244 containing cosolvent in a dose of 5 mg/kg AZD6244 containing cosolvent (AZD5) and a group injected with 100 µl of AZD6244 containing cosolvent in a dose of 15 mg/kg AZD6244 containing cosolvent (AZD15). The eggs were injected on the ninth day of embryonic development (E9). Samples were collected at E21.5 to observe feather width, feather follicle diameter, ERK and Wnt/β-catenin pathway protein expression.4. The AZD5 and AZD15 doses were within the embryonic safety range compared to the BLANK and CK groups and had no significant effect on the survival rate and weight at the inflection point, but significantly reduced the feather width and feather follicle diameter (p < 0.05). The AZD6244 treatment inhibited ERK protein phosphorylation levels and blocked the Wnt/β-catenin pathway, which in turn significantly down-regulated the expression levels of FZD4, β-catenin, TCF4 and LEF1 (p < 0.05), with an inhibitory effect in the AZD15 group being more significant. The immunohistochemical results of β-catenin and p-ERK were consistent with Western blot results.5. The small molecule inhibitor AZD6244 regulated the growth and development of feather follicles in goose embryos by the ERK and Wnt/β-catenin pathways.
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Affiliation(s)
- Y Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - S Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - I Mabrouk
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Zhou
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - X Fu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Song
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Ma
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - X Hu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Z Yang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - F Liu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Hou
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Yu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Sun
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
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Fu X, Xin Y, Shen G, Luo K, Xu C, Wu N. A cytokinin response factor PtCRF1 is involved in the regulation of wood formation in poplar. Tree Physiol 2024; 44:tpad156. [PMID: 38123505 DOI: 10.1093/treephys/tpad156] [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] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023]
Abstract
Wood formation is a complex developmental process under the control of multiple levels of regulatory transcriptional network and hormone signals in trees. It is well known that cytokinin (CK) signaling plays an important role in maintaining the activity of the vascular cambium. The CK response factors (CRFs) encoding a subgroup of AP2 transcription factors have been identified to mediate the CK-dependent regulation in different plant developmental processes. However, the functions of CRFs in wood development remain unclear. Here, we characterized the function of PtCRF1, a CRF transcription factor isolated from poplar, in the process of wood formation. The PtCRF1 is preferentially expressed in secondary vasculature, especially in vascular cambium and secondary phloem, and encodes a transcriptional activator. Overexpression of PtCRF1 in transgenic poplar plants led to a significant reduction in the cell layer number of vascular cambium. The development of wood tissue was largely promoted in the PtCRF1-overexpressing lines, while it was significantly compromised in the CRISPR/Cas9-generated double mutant plants of PtCRF1 and its closest homolog PtCRF2. The RNA sequencing (RNA-seq) and quantitative reverse transcription PCR (RT-qPCR) analyses showed that PtCRF1 repressed the expression of the typical CK-responsive genes. Furthermore, bimolecular fluorescence complementation assays revealed that PtCRF1 competitively inhibits the direct interactions between histidine phosphotransfer proteins and type-B response regulator by binding to PtHP protein. Collectively, these results indicate that PtCRF1 negatively regulates CK signaling and is required for woody cell differentiation in poplar.
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Affiliation(s)
- Xiaokang Fu
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing 400715, China
- Key Laboratory of Eco-environments of Three Gorges Reservoir Region, School of Life Sciences, Ministry of Education, Southwest University, Chongqing 400715, China
| | - Yufeng Xin
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Gui Shen
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Keming Luo
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing 400715, China
- Key Laboratory of Eco-environments of Three Gorges Reservoir Region, School of Life Sciences, Ministry of Education, Southwest University, Chongqing 400715, China
| | - Changzheng Xu
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing 400715, China
- Key Laboratory of Eco-environments of Three Gorges Reservoir Region, School of Life Sciences, Ministry of Education, Southwest University, Chongqing 400715, China
| | - Nengbiao Wu
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing 400715, China
- Key Laboratory of Eco-environments of Three Gorges Reservoir Region, School of Life Sciences, Ministry of Education, Southwest University, Chongqing 400715, China
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Wu A, Lian B, Hao P, Fu X, Zhang M, Lu J, Ma L, Yu S, Wei H, Wang H. GhMYB30-GhMUR3 affects fiber elongation and secondary wall thickening in cotton. Plant J 2024; 117:694-712. [PMID: 37988560 DOI: 10.1111/tpj.16523] [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] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 10/17/2023] [Accepted: 10/23/2023] [Indexed: 11/23/2023]
Abstract
Xyloglucan, an important hemicellulose, plays a crucial role in maintaining cell wall structure and cell elongation. However, the effects of xyloglucan on cotton fiber development are not well understood. GhMUR3 encodes a xyloglucan galactosyltransferase that is essential for xyloglucan synthesis and is highly expressed during fiber elongation. In this study, we report that GhMUR3 participates in cotton fiber development under the regulation of GhMYB30. Overexpression GhMUR3 affects the fiber elongation and cell wall thickening. Transcriptome showed that the expression of genes involved in secondary cell wall synthesis was prematurely activated in OE-MUR3 lines. In addition, GhMYB30 was identified as a key regulator of GhMUR3 by Y1H, Dual-Luc, and electrophoretic mobility shift assay (EMSA) assays. GhMYB30 directly bound the GhMUR3 promoter and activated GhMUR3 expression. Furthermore, DAP-seq of GhMYB30 was performed to identify its target genes in the whole genome. The results showed that many target genes were associated with fiber development, including cell wall synthesis-related genes, BR-related genes, reactive oxygen species pathway genes, and VLCFA synthesis genes. It was demonstrated that GhMYB30 may regulate fiber development through multiple pathways. Additionally, GhMYB46 was confirmed to be a target gene of GhMYB30 by EMSA, and GhMYB46 was significantly increased in GhMYB30-silenced lines, indicating that GhMYB30 inhibited GhMYB46 expression. Overall, these results revealed that GhMUR3 under the regulation of GhMYB30 and plays an essential role in cotton fiber elongation and secondary wall thickening. Additionally, GhMYB30 plays an important role in the regulation of fiber development and regulates fiber secondary wall synthesis by inhibiting the expression of GhMYB46.
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Affiliation(s)
- Aimin Wu
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430000, Hubei, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Boying Lian
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Pengbo Hao
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Xiaokang Fu
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Meng Zhang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Jianhua Lu
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Liang Ma
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Shuxun Yu
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430000, Hubei, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Hengling Wei
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Hantao Wang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100, Xinjiang, China
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Lian B, Wu A, Wu H, Lv X, Sun M, Li Y, Lu Z, Li S, An L, Guo X, Wei F, Fu X, Lu J, Wang H, Ma L, Wei H, Yu S. GhVOZ1-AVP1 module positively regulates salt tolerance in upland cotton (Gossypium hirsutum L.). Int J Biol Macromol 2024; 258:129116. [PMID: 38171192 DOI: 10.1016/j.ijbiomac.2023.129116] [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: 09/27/2023] [Revised: 12/25/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024]
Abstract
Vascular Plant One‑zinc Finger (VOZ) transcription factor can respond to a variety of abiotic stresses, however its function in cotton and the molecular mechanisms of response to salt tolerance remained unclear. In this study, we found that GhVOZ1 is highly expressed in stamen and stem of cotton under normal conditions. The expression of GhVOZ1 increased significantly after 3 h of salt treatment in three-leaf staged upland cotton. Overexpressed transgenic lines of GhVOZ1 in Arabidopsis and upland cotton were treated with salt stress and we found that GhVOZ1 could respond positively to salt stress. GhVOZ1 can regulate Arabidopsis Vacuolar Proton Pump Pyrophosphatase (H+-PPase) gene (AVP1) expression through specific binding to GCGTCTAAAGTACGC site on GhAVP1 promoter, which was examined through Dual-luciferase assay and Electrophoretic mobility shift assay (EMSA). AVP1 expression was significantly increased in Arabidopsis with GhVOZ1 overexpression, while GhAVP1 expression was decreased in virus induced gene silenced (VIGS) cotton plants of GhVOZ1. Knockdown of GhAVP1 expression in cotton plants by VIGS showed decreased superoxide dismutase (SOD) and peroxidase (POD) activities, whereas an increased malondialdehyde (MDA) content and ultimately decreased salt tolerance. The GhVOZ1-AVP1 module could maintain sodium ion homeostasis through cell ion transport and positively regulate the salt tolerance in cotton, providing new ideas and insights for the study of salt tolerance.
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Affiliation(s)
- Boying Lian
- College of Agronomy, Northwest A&F University, Yangling 712100, Shannxi, China
| | - Aimin Wu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Hongmei Wu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Xiaoyan Lv
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Mengxi Sun
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Yiran Li
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Zhengying Lu
- Handan Academy of Agricultural Sciences, Handan 056000, Hebei, China
| | - Shiyun Li
- Handan Academy of Agricultural Sciences, Handan 056000, Hebei, China
| | - Li An
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Xiaohao Guo
- College of Agronomy, Northwest A&F University, Yangling 712100, Shannxi, China
| | - Fei Wei
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Xiaokang Fu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Jianhua Lu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Hantao Wang
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Liang Ma
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Hengling Wei
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China.
| | - Shuxun Yu
- College of Agronomy, Northwest A&F University, Yangling 712100, Shannxi, China.
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5
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Li W, Lin YCJ, Chen YL, Zhou C, Li S, De Ridder N, Oliveira DM, Zhang L, Zhang B, Wang JP, Xu C, Fu X, Luo K, Wu AM, Demura T, Lu MZ, Zhou Y, Li L, Umezawa T, Boerjan W, Chiang VL. Woody plant cell walls: Fundamentals and utilization. Mol Plant 2024; 17:112-140. [PMID: 38102833 DOI: 10.1016/j.molp.2023.12.008] [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] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/12/2023] [Accepted: 12/12/2023] [Indexed: 12/17/2023]
Abstract
Cell walls in plants, particularly forest trees, are the major carbon sink of the terrestrial ecosystem. Chemical and biosynthetic features of plant cell walls were revealed early on, focusing mostly on herbaceous model species. Recent developments in genomics, transcriptomics, epigenomics, transgenesis, and associated analytical techniques are enabling novel insights into formation of woody cell walls. Here, we review multilevel regulation of cell wall biosynthesis in forest tree species. We highlight current approaches to engineering cell walls as potential feedstock for materials and energy and survey reported field tests of such engineered transgenic trees. We outline opportunities and challenges in future research to better understand cell type biogenesis for more efficient wood cell wall modification and utilization for biomaterials or for enhanced carbon capture and storage.
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Affiliation(s)
- Wei Li
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China
| | | | - Ying-Lan Chen
- Department of Biotechnology and Bioindustry Sciences, College of Bioscience and Biotechnology, National Cheng Kung University, Tainan, Taiwan, China
| | - Chenguang Zhou
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China
| | - Shuang Li
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China
| | - Nette De Ridder
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - Dyoni M Oliveira
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - Lanjun Zhang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Baocai Zhang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jack P Wang
- Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, USA
| | - Changzheng Xu
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Xiaokang Fu
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Keming Luo
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Ai-Min Wu
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, College of Forestry and Landscape Architectures, South China Agricultural University, Guangzhou 510642, China
| | - Taku Demura
- Center for Digital Green-innovation, Nara Institute of Science and Technology, Ikoma, Nara 630-0192, Japan
| | - Meng-Zhu Lu
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A & F University, Hangzhou 311300, China
| | - Yihua Zhou
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Laigeng Li
- CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai 200032, China
| | - Toshiaki Umezawa
- Laboratory of Metabolic Science of Forest Plants and Microorganisms, Research Institute for Sustainable Humanosphere, Kyoto University, Uji, Kyoto 611-0011, Japan
| | - Wout Boerjan
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052 Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
| | - Vincent L Chiang
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China; Forest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, USA.
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Jian H, Wei F, Chen P, Hu T, Lv X, Wang B, Wang H, Guo X, Ma L, Lu J, Fu X, Wei H, Yu S. Genome-wide analysis of SET domain genes and the function of GhSDG51 during salt stress in upland cotton (Gossypium hirsutum L.). BMC Plant Biol 2023; 23:653. [PMID: 38110862 PMCID: PMC10729455 DOI: 10.1186/s12870-023-04657-2] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 12/01/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND Cotton, being extensively cultivated, holds immense economic significance as one of the most prominent crops globally. The SET (Su(var), E, and Trithorax) domain-containing protein is of significant importance in plant development, growth, and response to abiotic stress by modifying the lysine methylation status of histone. However, the comprehensive identification of SET domain genes (SDG) have not been conducted in upland cotton (Gossypium hirsutum L.). RESULTS A total of 229 SDGs were identified in four Gossypium species, including G. arboretum, G. raimondii, G. hirsutum, and G. barbadense. These genes could distinctly be divided into eight groups. The analysis of gene structure and protein motif revealed a high degree of conservation among the SDGs within the same group. Collinearity analysis suggested that the SDGs of Gossypium species and most of the other selected plants were mainly expanded by dispersed duplication events and whole genome duplication (WGD) events. The allopolyploidization event also has a significant impact on the expansion of SDGs in tetraploid Gossypium species. Furthermore, the characteristics of these genes have been relatively conserved during the evolution. Cis-element analysis revealed that GhSDGs play a role in resistance to abiotic stresses and growth development. Furthermore, the qRT-PCR results have indicated the ability of GhSDGs to respond to salt stress. Co-expression analysis revealed that GhSDG51 might co-express with genes associated with salt stress. In addition, the silencing of GhSDG51 in cotton by the virus-induced gene silencing (VIGS) method suggested a potential positive regulatory role of GhSDG51 in salt stress. CONCLUSIONS The results of this study comprehensively analyze the SDGs in cotton and provide a basis for understanding the biological role of SDGs in the stress resistance in upland cotton.
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Affiliation(s)
- Hongliang Jian
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Fei Wei
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Pengyun Chen
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Tingli Hu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Xiaolan Lv
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Bingqin Wang
- Zhucheng Agricultural Technology Promotion Center, Zhucheng, Shandong, 262200, China
| | - Hantao Wang
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Xiaohao Guo
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Liang Ma
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Jianhua Lu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Xiaokang Fu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Hengling Wei
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China.
| | - Shuxun Yu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China.
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7
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Fu X, Tamozhnikov SS, Saprygin AE, Istomina NA, Klemeshova DI, Savostyanov AN. Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data. Vavilovskii Zhurnal Genet Selektsii 2023; 27:851-858. [PMID: 38213699 PMCID: PMC10777293 DOI: 10.18699/vjgb-23-98] [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: 07/11/2023] [Revised: 09/10/2023] [Accepted: 09/13/2023] [Indexed: 01/13/2024] Open
Abstract
The development of objective methods for assessing stress levels is an important task of applied neuroscience. Analysis of EEG recorded as part of a behavioral self-control program can serve as the basis for the development of test methods that allow classifying people by stress level. It is well known that participation in meditation practices leads to the development of skills of voluntary self-control over the individual's mental state due to an increased concentration of attention to themselves. As a consequence of meditation practices, participants can reduce overall anxiety and stress levels. The aim of our study was to develop, train and test a convolutional neural network capable of classifying individuals into groups of practitioners and non-practitioners of meditation by analysis of eventrelated brain potentials recorded during stop-signal paradigm. Four non-deep convolutional network architectures were developed, trained and tested on samples of 100 people (51 meditators and 49 non-meditators). Subsequently, all structures were additionally tested on an independent sample of 25 people. It was found that a structure using a one-dimensional convolutional layer combining the layer and a two-layer fully connected network showed the best performance in simulation tests. However, this model was often subject to overfitting due to the limitation of the display size of the data set. The phenomenon of overfitting was mitigated by changing the structure and scale of the model, initialization network parameters, regularization, random deactivation (dropout) and hyperparameters of cross-validation screening. The resulting model showed 82 % accuracy in classifying people into subgroups. The use of such models can be expected to be effective in assessing stress levels and inclination to anxiety and depression disorders in other groups of subjects.
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Affiliation(s)
- X Fu
- Novosibirsk State University, Novosibirsk, Russia
| | - S S Tamozhnikov
- Scientific Research Institute of Neurosciences and Medicine, Novosibirsk, Russia
| | - A E Saprygin
- Scientific Research Institute of Neurosciences and Medicine, Novosibirsk, Russia Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - N A Istomina
- Novosibirsk State University, Novosibirsk, Russia
| | - D I Klemeshova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A N Savostyanov
- Novosibirsk State University, Novosibirsk, Russia Scientific Research Institute of Neurosciences and Medicine, Novosibirsk, Russia Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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Fu X, Ma Y, Hou Y, Liu Y, Zheng L. Comparison of endoscopic bilateral areolar and robotic-assisted bilateral axillo-breast approach thyroidectomy in differentiated thyroid carcinoma: a propensity-matched retrospective cohort study. BMC Surg 2023; 23:338. [PMID: 37940892 PMCID: PMC10633981 DOI: 10.1186/s12893-023-02250-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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 10/26/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Robot-assisted and endoscopic thyroidectomy are superior to conventional open thyroidectomy in improving cosmetic outcomes and postoperative quality of life. The procedure of these thyroidectomies was similar in terms of surgical view, feasibility, and invasiveness. However, it remains uncertain whether the robotic-assisted bilateral axilla-breast approach (BABA) was superior to the endoscopic bilateral areolar approach (BAA) thyroidectomy. This study aimed to investigate the clinical benefit of these two surgical procedures to evaluate the difference between these two surgical procedures by comparing the pathological and surgical outcomes of endoscopic BAA and robotic-assisted BABA thyroidectomy in differentiated thyroid carcinoma. METHODS From November 2018 to September 2021, 278 patients with differentiated thyroid carcinoma underwent BABA robot-assisted, and 49 underwent BAA approach endoscopic thyroidectomy. Of these patients, we analyzed 42 and 135 patients of endoscopic and robotic matched pairs using 1:4 propensity score matching and retrospective cohort study methods. These two groups were retrospectively compared by surgical outcomes, clinicopathological characteristics, and postoperative complications. RESULTS The mean operation time was significantly longer in the EG than in the RG (p < 0.001), The number of retrieved lymph nodes was significantly lower in the ET group than in the RT group (p < 0.001). The mean maximum diameter of the thyroid was more expansive in the EG than in the RG (p = 0.04). There were no significant differences in the total drainage amount and drain insertion days between the two groups (p = 0.241, p = 0.316, respectively). Both groups showed that cosmetic satisfaction (p = 0.837) and pain score (p = 0.077) were similar. There were no significant differences in complication frequencies. CONCLUSION Robotic and endoscopic thyroidectomy are similar minimally invasive thyroid surgeries, each with its advantages, both of which can achieve the expected surgical outcomes. TRIAL REGISTRATION Retrospectively registered.
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Affiliation(s)
- Xiaokang Fu
- Jinzhou Medical University, Jinzhou, Liaoning, 121000, China
| | - Yunhan Ma
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, No.25, Shifan Road, Tianqiao District, Jinan, 250031, China
| | - Yiqi Hou
- Jinzhou Medical University, Jinzhou, Liaoning, 121000, China
| | - Yuan Liu
- Jinzhou Medical University, Jinzhou, Liaoning, 121000, China
| | - Luming Zheng
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, No.25, Shifan Road, Tianqiao District, Jinan, 250031, China.
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Zeng Z, Fu X, Hu Q, Liu G, Li J, Huang X. The influence of residual plural scattering after deconvolution in electron magnetic chiral dichroism. Ultramicroscopy 2023; 253:113806. [PMID: 37413857 DOI: 10.1016/j.ultramic.2023.113806] [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: 01/14/2023] [Revised: 06/21/2023] [Accepted: 06/30/2023] [Indexed: 07/08/2023]
Abstract
This work investigated the existence and influence of residual plural scattering in electron magnetic chiral dichroism (EMCD) spectra. A series of low-loss, conventional core-loss, and q-resolved core-loss spectra at Fe-L2,3 edges were detected from areas of different thicknesses in a plane-view sample of Fe/MgO (001) thin film. It reveals by comparison that there remains noticeable plural scattering in q-resolved spectra acquired at two particular chiral positions after deconvolution, and the residual scattering is more significant in thicker areas than thinner ones. Accordingly, the orbital-to-spin moment ratio extracted from EMCD spectra, which is the difference between the two q-resolved spectra after deconvolution, would be in principle increased with increasing sample thickness. The randomly fluctuated moment ratios displayed in our experiments are greatly attributed to a slight and irregular variation of local diffraction conditions due to the bending effect and imperfect epitaxy in detected areas. We suggest EMCD spectra should be acquired from sufficiently thin samples to minimize the plural scattering effect in originally detected spectra before any deconvolution. In addition, great care should be taken for slight misorientation and imperfect epitaxy when performing EMCD investigation on epitaxial thin films using a nano beam.
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Affiliation(s)
- Z Zeng
- International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
| | - X Fu
- International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China; Shenyang National Laboratory for Materials Sciences, Chongqing University, Chongqing 400044, China.
| | - Q Hu
- International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
| | - G Liu
- International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
| | - J Li
- International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
| | - X Huang
- International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
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Raman B, McCracken C, Cassar MP, Moss AJ, Finnigan L, Samat AHA, Ogbole G, Tunnicliffe EM, Alfaro-Almagro F, Menke R, Xie C, Gleeson F, Lukaschuk E, Lamlum H, McGlynn K, Popescu IA, Sanders ZB, Saunders LC, Piechnik SK, Ferreira VM, Nikolaidou C, Rahman NM, Ho LP, Harris VC, Shikotra A, Singapuri A, Pfeffer P, Manisty C, Kon OM, Beggs M, O'Regan DP, Fuld J, Weir-McCall JR, Parekh D, Steeds R, Poinasamy K, Cuthbertson DJ, Kemp GJ, Semple MG, Horsley A, Miller CA, O'Brien C, Shah AM, Chiribiri A, Leavy OC, Richardson M, Elneima O, McAuley HJC, Sereno M, Saunders RM, Houchen-Wolloff L, Greening NJ, Bolton CE, Brown JS, Choudhury G, Diar Bakerly N, Easom N, Echevarria C, Marks M, Hurst JR, Jones MG, Wootton DG, Chalder T, Davies MJ, De Soyza A, Geddes JR, Greenhalf W, Howard LS, Jacob J, Man WDC, Openshaw PJM, Porter JC, Rowland MJ, Scott JT, Singh SJ, Thomas DC, Toshner M, Lewis KE, Heaney LG, Harrison EM, Kerr S, Docherty AB, Lone NI, Quint J, Sheikh A, Zheng B, Jenkins RG, Cox E, Francis S, Halling-Brown M, Chalmers JD, Greenwood JP, Plein S, Hughes PJC, Thompson AAR, Rowland-Jones SL, Wild JM, Kelly M, Treibel TA, Bandula S, Aul R, Miller K, Jezzard P, Smith S, Nichols TE, McCann GP, Evans RA, Wain LV, Brightling CE, Neubauer S, Baillie JK, Shaw A, Hairsine B, Kurasz C, Henson H, Armstrong L, Shenton L, Dobson H, Dell A, Lucey A, Price A, Storrie A, Pennington C, Price C, Mallison G, Willis G, Nassa H, Haworth J, Hoare M, Hawkings N, Fairbairn S, Young S, Walker S, Jarrold I, Sanderson A, David C, Chong-James K, Zongo O, James WY, Martineau A, King B, Armour C, McAulay D, Major E, McGinness J, McGarvey L, Magee N, Stone R, Drain S, Craig T, Bolger A, Haggar A, Lloyd A, Subbe C, Menzies D, Southern D, McIvor E, Roberts K, Manley R, Whitehead V, Saxon W, Bularga A, Mills NL, El-Taweel H, Dawson J, Robinson L, Saralaya D, Regan K, Storton K, Brear L, Amoils S, Bermperi A, Elmer A, Ribeiro C, Cruz I, Taylor J, Worsley J, Dempsey K, Watson L, Jose S, Marciniak S, Parkes M, McQueen A, Oliver C, Williams J, Paradowski K, Broad L, Knibbs L, Haynes M, Sabit R, Milligan L, Sampson C, Hancock A, Evenden C, Lynch C, Hancock K, Roche L, Rees M, Stroud N, Thomas-Woods T, Heller S, Robertson E, Young B, Wassall H, Babores M, Holland M, Keenan N, Shashaa S, Price C, Beranova E, Ramos H, Weston H, Deery J, Austin L, Solly R, Turney S, Cosier T, Hazelton T, Ralser M, Wilson A, Pearce L, Pugmire S, Stoker W, McCormick W, Dewar A, Arbane G, Kaltsakas G, Kerslake H, Rossdale J, Bisnauthsing K, Aguilar Jimenez LA, Martinez LM, Ostermann M, Magtoto MM, Hart N, Marino P, Betts S, Solano TS, Arias AM, Prabhu A, Reed A, Wrey Brown C, Griffin D, Bevan E, Martin J, Owen J, Alvarez Corral M, Williams N, Payne S, Storrar W, Layton A, Lawson C, Mills C, Featherstone J, Stephenson L, Burdett T, Ellis Y, Richards A, Wright C, Sykes DL, Brindle K, Drury K, Holdsworth L, Crooks MG, Atkin P, Flockton R, Thackray-Nocera S, Mohamed A, Taylor A, Perkins E, Ross G, McGuinness H, Tench H, Phipps J, Loosley R, Wolf-Roberts R, Coetzee S, Omar Z, Ross A, Card B, Carr C, King C, Wood C, Copeland D, Calvelo E, Chilvers ER, Russell E, Gordon H, Nunag JL, Schronce J, March K, Samuel K, Burden L, Evison L, McLeavey L, Orriss-Dib L, Tarusan L, Mariveles M, Roy M, Mohamed N, Simpson N, Yasmin N, Cullinan P, Daly P, Haq S, Moriera S, Fayzan T, Munawar U, Nwanguma U, Lingford-Hughes A, Altmann D, Johnston D, Mitchell J, Valabhji J, Price L, Molyneaux PL, Thwaites RS, Walsh S, Frankel A, Lightstone L, Wilkins M, Willicombe M, McAdoo S, Touyz R, Guerdette AM, Warwick K, Hewitt M, Reddy R, White S, McMahon A, Hoare A, Knighton A, Ramos A, Te A, Jolley CJ, Speranza F, Assefa-Kebede H, Peralta I, Breeze J, Shevket K, Powell N, Adeyemi O, Dulawan P, Adrego R, Byrne S, Patale S, Hayday A, Malim M, Pariante C, Sharpe C, Whitney J, Bramham K, Ismail K, Wessely S, Nicholson T, Ashworth A, Humphries A, Tan AL, Whittam B, Coupland C, Favager C, Peckham D, Wade E, Saalmink G, Clarke J, Glossop J, Murira J, Rangeley J, Woods J, Hall L, Dalton M, Window N, Beirne P, Hardy T, Coakley G, Turtle L, Berridge A, Cross A, Key AL, Rowe A, Allt AM, Mears C, Malein F, Madzamba G, Hardwick HE, Earley J, Hawkes J, Pratt J, Wyles J, Tripp KA, Hainey K, Allerton L, Lavelle-Langham L, Melling L, Wajero LO, Poll L, Noonan MJ, French N, Lewis-Burke N, Williams-Howard SA, Cooper S, Kaprowska S, Dobson SL, Marsh S, Highett V, Shaw V, Beadsworth M, Defres S, Watson E, Tiongson GF, Papineni P, Gurram S, Diwanji SN, Quaid S, Briggs A, Hastie C, Rogers N, Stensel D, Bishop L, McIvor K, Rivera-Ortega P, Al-Sheklly B, Avram C, Faluyi D, Blaikely J, Piper Hanley K, Radhakrishnan K, Buch M, Hanley NA, Odell N, Osbourne R, Stockdale S, Felton T, Gorsuch T, Hussell T, Kausar Z, Kabir T, McAllister-Williams H, Paddick S, Burn D, Ayoub A, Greenhalgh A, Sayer A, Young A, Price D, Burns G, MacGowan G, Fisher H, Tedd H, Simpson J, Jiwa K, Witham M, Hogarth P, West S, Wright S, McMahon MJ, Neill P, Dougherty A, Morrow A, Anderson D, Grieve D, Bayes H, Fallon K, Mangion K, Gilmour L, Basu N, Sykes R, Berry C, McInnes IB, Donaldson A, Sage EK, Barrett F, Welsh B, Bell M, Quigley J, Leitch K, Macliver L, Patel M, Hamil R, Deans A, Furniss J, Clohisey S, Elliott A, Solstice AR, Deas C, Tee C, Connell D, Sutherland D, George J, Mohammed S, Bunker J, Holmes K, Dipper A, Morley A, Arnold D, Adamali H, Welch H, Morrison L, Stadon L, Maskell N, Barratt S, Dunn S, Waterson S, Jayaraman B, Light T, Selby N, Hosseini A, Shaw K, Almeida P, Needham R, Thomas AK, Matthews L, Gupta A, Nikolaidis A, Dupont C, Bonnington J, Chrystal M, Greenhaff PL, Linford S, Prosper S, Jang W, Alamoudi A, Bloss A, Megson C, Nicoll D, Fraser E, Pacpaco E, Conneh F, Ogg G, McShane H, Koychev I, Chen J, Pimm J, Ainsworth M, Pavlides M, Sharpe M, Havinden-Williams M, Petousi N, Talbot N, Carter P, Kurupati P, Dong T, Peng Y, Burns A, Kanellakis N, Korszun A, Connolly B, Busby J, Peto T, Patel B, Nolan CM, Cristiano D, Walsh JA, Liyanage K, Gummadi M, Dormand N, Polgar O, George P, Barker RE, Patel S, Price L, Gibbons M, Matila D, Jarvis H, Lim L, Olaosebikan O, Ahmad S, Brill S, Mandal S, Laing C, Michael A, Reddy A, Johnson C, Baxendale H, Parfrey H, Mackie J, Newman J, Pack J, Parmar J, Paques K, Garner L, Harvey A, Summersgill C, Holgate D, Hardy E, Oxton J, Pendlebury J, McMorrow L, Mairs N, Majeed N, Dark P, Ugwuoke R, Knight S, Whittaker S, Strong-Sheldrake S, Matimba-Mupaya W, Chowienczyk P, Pattenadk D, Hurditch E, Chan F, Carborn H, Foot H, Bagshaw J, Hockridge J, Sidebottom J, Lee JH, Birchall K, Turner K, Haslam L, Holt L, Milner L, Begum M, Marshall M, Steele N, Tinker N, Ravencroft P, Butcher R, Misra S, Walker S, Coburn Z, Fairman A, Ford A, Holbourn A, Howell A, Lawrie A, Lye A, Mbuyisa A, Zawia A, Holroyd-Hind B, Thamu B, Clark C, Jarman C, Norman C, Roddis C, Foote D, Lee E, Ilyas F, Stephens G, Newell H, Turton H, Macharia I, Wilson I, Cole J, McNeill J, Meiring J, Rodger J, Watson J, Chapman K, Harrington K, Chetham L, Hesselden L, Nwafor L, Dixon M, Plowright M, Wade P, Gregory R, Lenagh R, Stimpson R, Megson S, Newman T, Cheng Y, Goodwin C, Heeley C, Sissons D, Sowter D, Gregory H, Wynter I, Hutchinson J, Kirk J, Bennett K, Slack K, Allsop L, Holloway L, Flynn M, Gill M, Greatorex M, Holmes M, Buckley P, Shelton S, Turner S, Sewell TA, Whitworth V, Lovegrove W, Tomlinson J, Warburton L, Painter S, Vickers C, Redwood D, Tilley J, Palmer S, Wainwright T, Breen G, Hotopf M, Dunleavy A, Teixeira J, Ali M, Mencias M, Msimanga N, Siddique S, Samakomva T, Tavoukjian V, Forton D, Ahmed R, Cook A, Thaivalappil F, Connor L, Rees T, McNarry M, Williams N, McCormick J, McIntosh J, Vere J, Coulding M, Kilroy S, Turner V, Butt AT, Savill H, Fraile E, Ugoji J, Landers G, Lota H, Portukhay S, Nasseri M, Daniels A, Hormis A, Ingham J, Zeidan L, Osborne L, Chablani M, Banerjee A, David A, Pakzad A, Rangelov B, Williams B, Denneny E, Willoughby J, Xu M, Mehta P, Batterham R, Bell R, Aslani S, Lilaonitkul W, Checkley A, Bang D, Basire D, Lomas D, Wall E, Plant H, Roy K, Heightman M, Lipman M, Merida Morillas M, Ahwireng N, Chambers RC, Jastrub R, Logan S, Hillman T, Botkai A, Casey A, Neal A, Newton-Cox A, Cooper B, Atkin C, McGee C, Welch C, Wilson D, Sapey E, Qureshi H, Hazeldine J, Lord JM, Nyaboko J, Short J, Stockley J, Dasgin J, Draxlbauer K, Isaacs K, Mcgee K, Yip KP, Ratcliffe L, Bates M, Ventura M, Ahmad Haider N, Gautam N, Baggott R, Holden S, Madathil S, Walder S, Yasmin S, Hiwot T, Jackson T, Soulsby T, Kamwa V, Peterkin Z, Suleiman Z, Chaudhuri N, Wheeler H, Djukanovic R, Samuel R, Sass T, Wallis T, Marshall B, Childs C, Marouzet E, Harvey M, Fletcher S, Dickens C, Beckett P, Nanda U, Daynes E, Charalambou A, Yousuf AJ, Lea A, Prickett A, Gooptu B, Hargadon B, Bourne C, Christie C, Edwardson C, Lee D, Baldry E, Stringer E, Woodhead F, Mills G, Arnold H, Aung H, Qureshi IN, Finch J, Skeemer J, Hadley K, Khunti K, Carr L, Ingram L, Aljaroof M, Bakali M, Bakau M, Baldwin M, Bourne M, Pareek M, Soares M, Tobin M, Armstrong N, Brunskill N, Goodman N, Cairns P, Haldar P, McCourt P, Dowling R, Russell R, Diver S, Edwards S, Glover S, Parker S, Siddiqui S, Ward TJC, Mcnally T, Thornton T, Yates T, Ibrahim W, Monteiro W, Thickett D, Wilkinson D, Broome M, McArdle P, Upthegrove R, Wraith D, Langenberg C, Summers C, Bullmore E, Heeney JL, Schwaeble W, Sudlow CL, Adeloye D, Newby DE, Rudan I, Shankar-Hari M, Thorpe M, Pius R, Walmsley S, McGovern A, Ballard C, Allan L, Dennis J, Cavanagh J, Petrie J, O'Donnell K, Spears M, Sattar N, MacDonald S, Guthrie E, Henderson M, Guillen Guio B, Zhao B, Lawson C, Overton C, Taylor C, Tong C, Mukaetova-Ladinska E, Turner E, Pearl JE, Sargant J, Wormleighton J, Bingham M, Sharma M, Steiner M, Samani N, Novotny P, Free R, Allen RJ, Finney S, Terry S, Brugha T, Plekhanova T, McArdle A, Vinson B, Spencer LG, Reynolds W, Ashworth M, Deakin B, Chinoy H, Abel K, Harvie M, Stanel S, Rostron A, Coleman C, Baguley D, Hufton E, Khan F, Hall I, Stewart I, Fabbri L, Wright L, Kitterick P, Morriss R, Johnson S, Bates A, Antoniades C, Clark D, Bhui K, Channon KM, Motohashi K, Sigfrid L, Husain M, Webster M, Fu X, Li X, Kingham L, Klenerman P, Miiler K, Carson G, Simons G, Huneke N, Calder PC, Baldwin D, Bain S, Lasserson D, Daines L, Bright E, Stern M, Crisp P, Dharmagunawardena R, Reddington A, Wight A, Bailey L, Ashish A, Robinson E, Cooper J, Broadley A, Turnbull A, Brookes C, Sarginson C, Ionita D, Redfearn H, Elliott K, Barman L, Griffiths L, Guy Z, Gill R, Nathu R, Harris E, Moss P, Finnigan J, Saunders K, Saunders P, Kon S, Kon SS, O'Brien L, Shah K, Shah P, Richardson E, Brown V, Brown M, Brown J, Brown J, Brown A, Brown A, Brown M, Choudhury N, Jones S, Jones H, Jones L, Jones I, Jones G, Jones H, Jones D, Davies F, Davies E, Davies K, Davies G, Davies GA, Howard K, Porter J, Rowland J, Rowland A, Scott K, Singh S, Singh C, Thomas S, Thomas C, Lewis V, Lewis J, Lewis D, Harrison P, Francis C, Francis R, Hughes RA, Hughes J, Hughes AD, Thompson T, Kelly S, Smith D, Smith N, Smith A, Smith J, Smith L, Smith S, Evans T, Evans RI, Evans D, Evans R, Evans H, Evans J. Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study. Lancet Respir Med 2023; 11:1003-1019. [PMID: 37748493 PMCID: PMC7615263 DOI: 10.1016/s2213-2600(23)00262-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/16/2023] [Accepted: 06/30/2023] [Indexed: 09/27/2023]
Abstract
INTRODUCTION The multiorgan impact of moderate to severe coronavirus infections in the post-acute phase is still poorly understood. We aimed to evaluate the excess burden of multiorgan abnormalities after hospitalisation with COVID-19, evaluate their determinants, and explore associations with patient-related outcome measures. METHODS In a prospective, UK-wide, multicentre MRI follow-up study (C-MORE), adults (aged ≥18 years) discharged from hospital following COVID-19 who were included in Tier 2 of the Post-hospitalisation COVID-19 study (PHOSP-COVID) and contemporary controls with no evidence of previous COVID-19 (SARS-CoV-2 nucleocapsid antibody negative) underwent multiorgan MRI (lungs, heart, brain, liver, and kidneys) with quantitative and qualitative assessment of images and clinical adjudication when relevant. Individuals with end-stage renal failure or contraindications to MRI were excluded. Participants also underwent detailed recording of symptoms, and physiological and biochemical tests. The primary outcome was the excess burden of multiorgan abnormalities (two or more organs) relative to controls, with further adjustments for potential confounders. The C-MORE study is ongoing and is registered with ClinicalTrials.gov, NCT04510025. FINDINGS Of 2710 participants in Tier 2 of PHOSP-COVID, 531 were recruited across 13 UK-wide C-MORE sites. After exclusions, 259 C-MORE patients (mean age 57 years [SD 12]; 158 [61%] male and 101 [39%] female) who were discharged from hospital with PCR-confirmed or clinically diagnosed COVID-19 between March 1, 2020, and Nov 1, 2021, and 52 non-COVID-19 controls from the community (mean age 49 years [SD 14]; 30 [58%] male and 22 [42%] female) were included in the analysis. Patients were assessed at a median of 5·0 months (IQR 4·2-6·3) after hospital discharge. Compared with non-COVID-19 controls, patients were older, living with more obesity, and had more comorbidities. Multiorgan abnormalities on MRI were more frequent in patients than in controls (157 [61%] of 259 vs 14 [27%] of 52; p<0·0001) and independently associated with COVID-19 status (odds ratio [OR] 2·9 [95% CI 1·5-5·8]; padjusted=0·0023) after adjusting for relevant confounders. Compared with controls, patients were more likely to have MRI evidence of lung abnormalities (p=0·0001; parenchymal abnormalities), brain abnormalities (p<0·0001; more white matter hyperintensities and regional brain volume reduction), and kidney abnormalities (p=0·014; lower medullary T1 and loss of corticomedullary differentiation), whereas cardiac and liver MRI abnormalities were similar between patients and controls. Patients with multiorgan abnormalities were older (difference in mean age 7 years [95% CI 4-10]; mean age of 59·8 years [SD 11·7] with multiorgan abnormalities vs mean age of 52·8 years [11·9] without multiorgan abnormalities; p<0·0001), more likely to have three or more comorbidities (OR 2·47 [1·32-4·82]; padjusted=0·0059), and more likely to have a more severe acute infection (acute CRP >5mg/L, OR 3·55 [1·23-11·88]; padjusted=0·025) than those without multiorgan abnormalities. Presence of lung MRI abnormalities was associated with a two-fold higher risk of chest tightness, and multiorgan MRI abnormalities were associated with severe and very severe persistent physical and mental health impairment (PHOSP-COVID symptom clusters) after hospitalisation. INTERPRETATION After hospitalisation for COVID-19, people are at risk of multiorgan abnormalities in the medium term. Our findings emphasise the need for proactive multidisciplinary care pathways, with the potential for imaging to guide surveillance frequency and therapeutic stratification. FUNDING UK Research and Innovation and National Institute for Health Research.
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Li Y, Tian M, Feng Z, Zhang J, Lu J, Fu X, Ma L, Wei H, Wang H. GhDof1.7, a Dof Transcription Factor, Plays Positive Regulatory Role under Salinity Stress in Upland Cotton. Plants (Basel) 2023; 12:3740. [PMID: 37960096 PMCID: PMC10649836 DOI: 10.3390/plants12213740] [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: 09/05/2023] [Revised: 10/23/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023]
Abstract
Salt stress is a major abiotic stressor that can severely limit plant growth, distribution, and crop yield. DNA-binding with one finger (Dof) is a plant-specific transcription factor that plays a crucial role in plant growth, development, and stress response. In this study, the function of a Dof transcription factor, GhDof1.7, was investigated in upland cotton. The GhDof1.7 gene has a coding sequence length of 759 base pairs, encoding 252 amino acids, and is mainly expressed in roots, stems, leaves, and inflorescences. Salt and abscisic acid (ABA) treatments significantly induced the expression of GhDof1.7. The presence of GhDof1.7 in Arabidopsis may have resulted in potential improvements in salt tolerance, as suggested by a decrease in H2O2 content and an increase in catalase (CAT) and superoxide dismutase (SOD) activities. The GhDof1.7 protein was found to interact with GhCAR4 (C2-domain ABA-related 4), and the silencing of either GhDof1.7 or GhCAR4 resulted in reduced salt tolerance in cotton plants. These findings demonstrate that GhDof1.7 plays a crucial role in improving the salt tolerance of upland cotton and provide insight into the regulation of abiotic stress response by Dof transcription factors.
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Affiliation(s)
- Yi Li
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Miaomiao Tian
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Zhen Feng
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Jingjing Zhang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Jianhua Lu
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Xiaokang Fu
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Liang Ma
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Hengling Wei
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
| | - Hantao Wang
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang 455000, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, China
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Gao Y, Fu X, Hu H, Li T, Yuan L, Zhang J, Wu Y, Wang M, Ke Y, Li X, Hu F, Zhang M, Sun L, Wen H, Guan R, Gao P, Chai W, Zhao Y, Hu D. Impact of shift work on dementia: a systematic review and dose-response meta-analysis. Public Health 2023; 223:80-86. [PMID: 37625271 DOI: 10.1016/j.puhe.2023.07.029] [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: 05/09/2023] [Revised: 06/26/2023] [Accepted: 07/21/2023] [Indexed: 08/27/2023]
Abstract
OBJECTIVES Although shift work has been reported as having a link to dementia, evidence remains inconsistent, and a comprehensive dose-response meta-analysis of the association is still lacking. We therefore conducted this meta-analysis to explore the association between shift work and the risk of dementia. STUDY DESIGN Systematic review and dose-response meta-analysis. METHODS PubMed, Embase, and Web of Science databases were systematically searched. Fixed or random-effects models were used to estimate the summary relative risks (RRs) and 95% confidence intervals (95% CIs). Generalized least squares regression was used to estimate dose-response associations, and restricted cubic splines were used to examine possible linear or non-linear associations. RESULTS Five articles (10 studies) with 72,999 participants and 23,067 cases were eventually included in the meta-analysis. The summary RRs and 95% CIs of dementia risk with shift work and night shift work versus daytime work were 1.13 (95% CI: 1.05-1.21, I2 = 46.70%) and 1.13 (95% CI: 1.03-1.24, I2 = 9.20%), respectively. The risk of dementia increased by 1% (RR = 1.01, 95% CI: 1.01-1.02, I2 = 41.3%) with each 1-year increase in the duration of shift work. We found a non-linear dose-response association between the duration of shift work and the risk of dementia (Pnon-linearity = 0.006). Though the shape of the curve was steeper with the duration of shift work <7 years, the increase was more gradual after 7 years. CONCLUSION Our findings suggest that shift work may be a risk factor for future dementia and that controlling the length of shift work is a feasible measure that may contribute to prevent dementia.
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Affiliation(s)
- Y Gao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - X Fu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - H Hu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - T Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - L Yuan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - J Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - Y Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - M Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - Y Ke
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - X Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - F Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, 518060, People's Republic of China
| | - M Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, 518060, People's Republic of China
| | - L Sun
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - H Wen
- Department of Clinical Medicine, Zhengzhou Shuqing Medical College, 6 Gongming Road, Erqi District, Zhengzhou, Henan, 450064, People's Republic of China
| | - R Guan
- Department of Famarcy, Shenzhen University General Hospital, Shenzhen, Guangdong, 518055, People's Republic of China
| | - P Gao
- Department of Neurology, Shenzhen University General Hospital, Shenzhen, Guangdong, 518055, People's Republic of China
| | - W Chai
- Department of Neurology, Shenzhen University General Hospital, Shenzhen, Guangdong, 518055, People's Republic of China
| | - Y Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - D Hu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China.
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Wang S, Wang Y, Ichraf M, Zhou Y, Song Y, Fu X, Liu T, Ma J, Zhuang F, Hu X, Hou J, Yu J, Yang Z, Liu F, Sun Y. Expression of FOXO3 in the skin follicles of goose embryos during embryonic development. Br Poult Sci 2023; 64:586-593. [PMID: 37334805 DOI: 10.1080/00071668.2023.2226078] [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: 01/17/2023] [Accepted: 05/16/2023] [Indexed: 06/21/2023]
Abstract
1. The Forkhead box O3 (FOXO3) transcription factor is a crucial regulator in controlling cell metabolism, proliferation, apoptosis, migration and response to oxidative stress. However, FOXO3 has not previously been studied much in the embryonic skin follicles of geese.2. This study used Zhedong white geese (Anser cygnoides), Jilin white geese (Anser cygnoides) and Hungarian white geese (Anser anser). The feather follicle structure in the dorsal skin during embryonic stages was examined with haematoxylin and eosin (HE) and Pollak staining. The FOXO3 protein content in the embryonic dorsal skin from feather follicles was detected using western blotting and quantitative real-time PCR.3. The mRNA expression level of FOXO3 in the dorsal skin of Jilin white geese was highly expressed on embryonic day 23 (E23; P < 0.01), while mRNA expression of FOXO3 was highly expressed in the feather follicle of Hungarian white geese at E28 (P < 0.01). The expression of FOXO3 protein mainly concentrated in the early embryonic phase among these goose breeds (P < 0.05). This suggested that FOXO3 plays a crucial role in the development and growth of embryonic dorsal skin of feather follicles. The location of the FOXO3 protein was determined using the IHC technique, which further verified the effect of FOXO3 in the dorsal skin for feather follicles during embryogenesis.4. The study demonstrated the differential expression and localisation of the FOXO3 gene among different goose species. It was speculated that the gene could potentially improve goose feather follicle development and feather-related traits and provide a basis for further understanding of FOXO3 function in the dorsal tissue of goose embryos.
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Affiliation(s)
- S Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - M Ichraf
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Zhou
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Song
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - X Fu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - T Liu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Ma
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - F Zhuang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - X Hu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Hou
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Yu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Z Yang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - F Liu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Sun
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun, China
- Joint Laboratory of Modern Agricultural Technology International Cooperation, Ministry of Education, Jilin Agricultural University, Changchun, China
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Wei F, Chen P, Jian H, Guo X, Lv X, Lian B, Sun M, An L, Dang X, Yang M, Wu H, Zhang N, Wu A, Wang H, Ma L, Fu X, Lu J, Yu S, Wei H. A systematic analysis of the phloem protein 2 (PP2) proteins in Gossypium hirsutum reveals that GhPP2-33 regulates salt tolerance. BMC Genomics 2023; 24:467. [PMID: 37596513 PMCID: PMC10439568 DOI: 10.1186/s12864-023-09546-4] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 07/29/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND Phloem protein 2 (PP2) proteins play a vital role in the Phloem-based defense (PBD) and participate in many abiotic and biotic stress. However, research on PP2 proteins in cotton is still lacking. RESULTS A total of 25, 23, 43, and 47 PP2 genes were comprehensively identified and characterized in G.arboretum, G.raimondii, G.barbadense, and G.hirsutum. The whole genome duplication (WGD) and allopolyploidization events play essential roles in the expansion of PP2 genes. The promoter regions of GhPP2 genes contain many cis-acting elements related to abiotic stress and the weighted gene co-expression network analysis (WGCNA) analysis displayed that GhPP2s could be related to salt stress. The qRT-PCR assays further confirmed that GhPP2-33 could be dramatically upregulated during the salt treatment. And the virus-induced gene silencing (VIGS) experiment proved that the silencing of GhPP2-33 could decrease salt tolerance. CONCLUSIONS The results in this study not only offer new perspectives for understanding the evolution of PP2 genes in cotton but also further explore their function under salt stress.
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Affiliation(s)
- Fei Wei
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou, 450001, China
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Pengyun Chen
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Hongliang Jian
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Xiaohao Guo
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Xiaoyan Lv
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Boying Lian
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Mengxi Sun
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Li An
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Xinyu Dang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Miaoqian Yang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Hongmei Wu
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Nan Zhang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Aimin Wu
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Hantao Wang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Liang Ma
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Xiaokang Fu
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Jianhua Lu
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China
| | - Shuxun Yu
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China.
| | - Hengling Wei
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou, 450001, China.
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of CAAS, Anyang, 455000, China.
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Xing M, Fu QY, Lin SS, Fu X, Wang XX, Wang LC, Zhu X, Ouyang TL. [Analysis of fast-growing culturable bacteria and pathogenic bacteria in the surface water of the northeast coast of Hainan Island in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1206-1216. [PMID: 37574314 DOI: 10.3760/cma.j.cn112150-20230221-00142] [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: 08/15/2023]
Abstract
Objective: To obtain the diversity and abundance of fast-growing bacteria in the surface water of the northeast coast of Hainan Island in China, different cultivation methods were employed. This study also aims to provide a reference for isolating bacterial samples from seawater sources and preventing marine-derived pathogens. Methods: Based on the principles of taxonomic design, surface seawater samples were collected from six locations along the northeast coast of Hainan Island in China in March, June, October, and December 2021. Then, bacterial enrichment was performed based on traditional cultivation methods for Salmonella, Vibrio, Burkholderia pseudomallei, Actinomycetes, and general marine bacteria. After that, bacterial species identification was conducted by 16S rDNA amplicon sequencing and metagenomic sequencing. Results: A total of 1 151 fast-growing cultivable bacteria belonging to 66 genera and 213 species were identified using five different culture protocols. In different cultivation protocols, Bacillus and Klebsiella demonstrated extensive discriminatory advantages and ranked among the top genera in terms of abundance. Protocol 1 had Escherichia, Klebsiella, and Citrobacter as dominant genera. Pathogenic bacteria detected by protocol 1 included Klebsiella pneumoniae and Escherichia coli, with 37 and 29 strains respectively, while Salmonella enterica was uniquely detected with seven isolates. Proteus, Enterococcus, and Providencia were the dominant genera in protocol 2, and Proteus mirabilis was the most abundant pathogenic bacteria detected with 66 isolates. Vibrio cholerae was uniquely detected with six isolates at a higher abundance. Klebsiella, Escherichia, and Acinetobacter were the dominant genera in protocol 3, and Klebsiella pneumoniae was the most abundant pathogenic bacteria detected with 53 isolates, while Acinetobacter nosocomialis was uniquely detected with seven isolates. Vibrio and Pseudoalteromonas were the dominant genera in protocol 4, and they showed advantages in isolating and cultivating Marine-derived Vibrio. Exiguobacterium, Staphylococcus, and Bacillus were the dominant genera in protocol 5. Bacillus cereus and Lactococcus lactis were the most abundant pathogenic bacteria detected with 20 and 15 isolates, respectively, while Lactococcus lactis was uniquely detected at higher abundance. Metagenomic sequencing showed that Klebsiella pneumoniae was significantly dominant with a gene abundance of 51.11%, followed by Alcanivorax sp. at 12.57%. Conclusion: The surface water of the northeast coast of Hainan Island in China exhibits a rich diversity of bacteria, with Klebsiella pneumoniae being highly abundant in the studied area. Different cultivation methods demonstrate distinct selective advantages in culturing bacterial genera and pathogens. Therefore, it is necessary to optimize cultivation conditions for specific marine bacteria.
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Affiliation(s)
- M Xing
- Department of Clinical Laboratory,Wenchang People's Hospital, Wenchang 571300, China
| | - Q Y Fu
- Department of Clinical Laboratory,Wenchang People's Hospital, Wenchang 571300, China
| | - S S Lin
- Department of Clinical Laboratory,Wenchang People's Hospital, Wenchang 571300, China
| | - X Fu
- Department of Clinical Laboratory,Wenchang People's Hospital, Wenchang 571300, China
| | - X X Wang
- Department of Clinical & Central Laboratory,Sanya People's Hospital, Sanya 572000, China
| | - L C Wang
- Department of Clinical & Central Laboratory,Sanya People's Hospital, Sanya 572000, China
| | - X Zhu
- Department of Clinical & Central Laboratory,Sanya People's Hospital, Sanya 572000, China
| | - T L Ouyang
- Department of Clinical & Central Laboratory,Sanya People's Hospital, Sanya 572000, China
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16
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Han X, Bi X, Zhao H, Shi Y, Wen Q, Lü J, Sun J, Fu X, Liu D. [Bioinformatics analysis and prokaryotic expression of Strongyloides stercoralis serine protease inhibitor 1]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:244-250. [PMID: 37455094 DOI: 10.16250/j.32.1374.2022285] [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] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To predict the structure and antigenic epitope of the Strongyloides stercoralis serine protease inhibitor 1 (Ss-SRPN-1) protein using bioinformatics tools, and to construct prokaryotic expression plasmids for expression of recombinant Ss-SRPN-1 protein, so as to provide the basis for unraveling the function of the Ss-SRPN-1 protein. METHODS The amino acid sequence of the Ss-SRPN-1 protein was downloaded from the NCBI database, and the physicochemical properties, structure and antigenic epitopes of the Ss-SRPN-1 protein were predicted using bioinformatics tools, including ExPASy, SWISS-MODEL and Protean. Primers were designed according to the nucleotide sequences of Ss-SRPN-1, and the Ss-SRPN-1 gene was amplified, cloned and sequenced with genomic DNA extracted from the infective third-stage larvae of S. stercoralis as a template. The Ss-SRPN-1 protein sequence was cloned into the pET28a (+) expression vector and transformed into Escherichia coli BL21 (DE) cells for induction of the recombinant Ss-SRPN-1 protein expression. The recombinant Ss-SRPN-1 protein was then purified and identified using Western blotting and mass spectrometry. RESULTS Bioinformatics analysis showed that the Ss-SRPN-1 protein, which was composed of 372 amino acids and had a molecular formula of C1948H3046N488O575S16, was a stable hydrophilic protein, and the subcellular localization of the protein was predicted to be extracellular. The Ss-SRPN-1 protein was predicted to contain 11 dominant B-cell antigenic epitopes and 20 T-cell antigenic epitopes. The Ss-SRPN-1 gene with a length of 1 119 bp was successfully amplified, and the recombinant plasmid pET28a (+)/Ss-SRPN-1 was constructed and transformed into E. coli BL21(DE) cells. The expressed recombinant Ss-SRPN-1 protein had a molecular weight of approximately 43 kDa, and was characterized as a Ss-SRPN-1 protein. CONCLUSIONS The recombinant Ss-SRPN-1 protein has been expressed successfully, and this recombinant protein may be a potential vaccine candidate against strongyloidiasis.
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Affiliation(s)
- X Han
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
| | - X Bi
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
| | - H Zhao
- Department of Laboratory Medicine, Guangxi Zhuang Autonomous Region People's Hospital, Nanning, Guangxi 530021, China
| | - Y Shi
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
| | - Q Wen
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
| | - J Lü
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
| | - J Sun
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
| | - X Fu
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
| | - D Liu
- Department of Parasitology, Guangxi Medical University, Key Laboratory of Basic Research on Regional Diseases in Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, China
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Wang S, Ning H, Huang X, Xiao Y, Zhang M, Yang EF, Sadahiro Y, Liu Y, Li Z, Hu T, Fu X, Li Z, Zeng Y. Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022. J Med Internet Res 2023; 25:e47225. [PMID: 37267022 DOI: 10.2196/47225] [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: 03/12/2023] [Revised: 04/12/2023] [Accepted: 05/09/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND Social media platforms have been increasingly used to express suicidal thoughts, feelings, and acts, raising public concerns over time. A large body of literature has explored the suicide risks identified by people's expressions on social media. However, there is not enough evidence to conclude that social media provides public surveillance for suicide without aligning suicide risks detected on social media with actual suicidal behaviors. Corroborating this alignment is a crucial foundation for suicide prevention and intervention through social media and for estimating and predicting suicide in countries with no reliable suicide statistics. OBJECTIVE This study aimed to corroborate whether the suicide risks identified on social media align with actual suicidal behaviors. This aim was achieved by tracking suicide risks detected by 62 million tweets posted in Japan over a 10-year period and assessing the locational and temporal alignment of such suicide risks with actual suicide behaviors recorded in national suicide statistics. METHODS This study used a human-in-the-loop approach to identify suicide-risk tweets posted in Japan from January 2013 to December 2022. This approach involved keyword-filtered data mining, data scanning by human efforts, and data refinement via an advanced natural language processing model termed Bidirectional Encoder Representations from Transformers. The tweet-identified suicide risks were then compared with actual suicide records in both temporal and spatial dimensions to validate if they were statistically correlated. RESULTS Twitter-identified suicide risks and actual suicide records were temporally correlated by month in the 10 years from 2013 to 2022 (correlation coefficient=0.533; P<.001); this correlation coefficient is higher at 0.652 when we advanced the Twitter-identified suicide risks 1 month earlier to compare with the actual suicide records. These 2 indicators were also spatially correlated by city with a correlation coefficient of 0.699 (P<.001) for the 10-year period. Among the 267 cities with the top quintile of suicide risks identified from both tweets and actual suicide records, 73.5% (n=196) of cities overlapped. In addition, Twitter-identified suicide risks were at a relatively lower level after midnight compared to a higher level in the afternoon, as well as a higher level on Sundays and Saturdays compared to weekdays. CONCLUSIONS Social media platforms provide an anonymous space where people express their suicidal thoughts, ideation, and acts. Such expressions can serve as an alternative source to estimating and predicting suicide in countries without reliable suicide statistics. It can also provide real-time tracking of suicide risks, serving as an early warning for suicide. The identification of areas where suicide risks are highly concentrated is crucial for location-based mental health planning, enabling suicide prevention and intervention through social media in a spatially and temporally explicit manner.
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Affiliation(s)
- Siqin Wang
- Graduate School of Interdisciplinary Information Studies, University of Tokyo, Tokyo, Japan
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Australia
- School of Science, RMIT University, Melbourne, Australia
| | - Huan Ning
- Department of Geography, University of South Carolina, Columbia, SC, United States
| | - Xiao Huang
- Department of Geosciences, University of Arkansas, Fayetteville, AR, United States
| | - Yunyu Xiao
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States
| | - Mengxi Zhang
- Carilion School of Medicine, Virginia Tech, Blacksburg, VA, United States
| | - Ellie Fan Yang
- School of Communication and Mass Media, Northwest Missouri State University, Maryville, MO, United States
| | - Yukio Sadahiro
- Graduate School of Interdisciplinary Information Studies, University of Tokyo, Tokyo, Japan
| | - Yan Liu
- School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia
| | - Zhenlong Li
- Department of Geography, University of South Carolina, Columbia, SC, United States
| | - Tao Hu
- Department of Geography, Oklahoma State University, Stillwater, OK, United States
| | - Xiaokang Fu
- Centre for Geographic Analysis, Harvard University, Cambridge, MA, United States
| | - Zi Li
- Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Ye Zeng
- Department of Medical Business, Nihon Pharmaceutical University, Tokyo, Japan
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18
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Wen Q, Fu X, Liu D. [Progress of researches on Strongyloides stercoralis co-infection with other pathogens]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:206-212. [PMID: 37253572 DOI: 10.16250/j.32.1374.2022156] [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] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Strongyloides stercoralis is an opportunistic pathogenic parasite that can cause severe strongyloidiasis and even death among immunocompromised individuals. Previous clinical studies have reported cases co-infected with S. stercoralis and other pathogens, such as parasites, viruses, bacteria and fungi. This review summarizes strongyloidiasis patients co-infected with pathogens, and analyzes the impact of co-infection on strongyloidiasis, so as to provide insights into the reduction of the morbidity and mortality of disorders associated with S. stercoralis infections.
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Affiliation(s)
- Q Wen
- School of Basic Medicinal Sciences, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - X Fu
- School of Basic Medicinal Sciences, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - D Liu
- School of Basic Medicinal Sciences, Guangxi Medical University, Nanning, Guangxi 530021, China
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19
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Bi X, Fu X, Xue S, Han X, Zeng Y, Sun J, Liu D. [Expression of CD47 and its ligands in pregnant mice infected with Toxoplasma gondii during pregnancy]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:51-62. [PMID: 36974015 DOI: 10.16250/j.32.1374.2022267] [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] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
OBJECTIVE To investigate the dynamic expression of cluster of differentiation 47 (CD47) and its ligands signaling regulatory protein α (SIRPα) and thrombospondin-1 (TSP-1) in mice infected with Toxoplasma gondii in the second and third trimesters. METHODS C57BL/6J mice (6 to 8 weeks old) were used for modeling T. gondii infection in the first trimester, and the pregnant mice were randomly divided into the normal control and infection groups, of 10 mice in each group. Pregnant mice in the infection group were intraperitoneally injected with 150 T. gondii tachyzoites on gestational day (Gd) 6.5, while pregnant mice in the normal control group were intraperitoneally injected with the same volume of physiological saline at the same time. The uterine and placental specimens were collected from all pregnant mice on Gd12.5 and Gd18.5, and the pregnant outcomes were recorded. The pathological damages of mouse uterine and placental specimens were observed using hematoxylin-eosin (HE) staining on Gd12.5 and Gd18.5. The relative expression of CD47, SIRPα, TSP-1, surface antigen 1 (SAG1), interferon-γ (IFN-γ), interleukin-2 (IL-2), IL-4 and IL-13 mRNA was quantified in mouse uterine and placental specimens using real-time fluorescence quantitative PCR (qPCR) assay, and the CD47, SIRPα, TSP-1 expression was determined in mouse uterine and placental specimens using immunohistochemical staining. RESULTS As compared with those in the normal control group, the pregnant mice in the infection group showed back arching, bristling, trembling and listlessness during pregnancy, and several mice presented virginal bleeding and abortion. Pathological examinations showed inflammatory cell infiltration, congestion and necrosis in uterine and placental specimens of pregnant mice in the infection group, a higher abortion rate of pregnant mice was seen in the infection group than in the normal control group on Gd12.5 (χ2 = 20.405, P < 0.001) and Gd18.5 (χ2 = 28.644, P < 0.001). qPCR assay showed significant differences in the expression of CD47, SIRPα, TSP-1, SAG1, INF-γ, IL-2, IL-4 and IL-13 genes in mouse placental specimens between the normal control and infection groups on Gd12.5 and Gd18.5 [F' (F) = 37.511, 29.337, 97.343, 53.755, 67.188, 21.145, 8.658 and 13.930, all P values < 0.001]. Higher CD47, SIRPα and TSP-1 gene expression was quantified in mouse placental specimens in the infection group than in the normal control group on Gd12.5 (all P values < 0.01), and lower CD47, SIRPα and TSP-1 gene expression was quantified in the infection group than in the normal control group on Gd18.5 (all P values < 0.001), while higher SAG1 gene expression was detected in placental specimens of pregnant mice in the infection group than in the normal control group on Gd12.5 and Gd18.5 (both P values < 0.01). In addition, higher INF-γ and IL-2 expression and lower IL-4 and IL-13 expression was detected in mouse placental specimens in the infection group than in the normal control group on Gd12.5 and Gd18.5 (all P values < 0.001), and there were significant differences in the CD47, SIRPα, TSP-1, SAG1, INF-γ, IL-2, IL-4 and IL-13 gene expression in uterine specimens of pregnant mice between the normal control and infection groups on Gd12.5 and Gd18.5 [H(F' and F) = 14.951, 25.977, 18.711, 48.595, 39.318, 14.248 and 15.468, all P values < 0.01], and higher CD47 and TSP-1 expression was detected in mouse uterine specimens in the infection group than in the control group on Gd12.5 and Gd18.5 (all P values < 0.01); however, no significant difference was found in the SIRPα expression (P > 0.05). Higher SAG1 expression was detected in uterine specimens of pregnant mice in the infection group than in the normal control group on Gd12.5 and Gd18.5 (both P values < 0.01), and higher INF-γ and IL-2 gene expression and lower IL-4 and IL-13 gene expression was found in the placental specimens of pregnant mice in the infection group than in the normal control group on Gd12.5 and Gd18.5 (all P values < 0.001). Spearman correlation analysis showed that the CD47 gene expression correlated positively with IFN-γ (rs = 0.735, P < 0.05) and IL-2 (rs = 0.655, P < 0.05) and negatively with IL-4 (rs = -0.689, P < 0.05) and IL-13 expression (rs = -0.795, P < 0.05) in the placental specimens of pregnant mice in the infection group on Gd12.5, and the CD47 gene expression correlated negatively with IFN-γ (rs = -0.745, P < 0.05) and IL-2 expression (rs = -0.816, P < 0.05) and positively with IL-4 (rs = 0.704, P < 0.05) and IL-13 (rs = 0.802, P < 0.05) in the placental specimens of pregnant mice in the infection group on Gd18.5. Immunohistochemical staining showed mild CD47, SIRPα and TSP-1 expression in uterine and placental specimens of pregnant mice in the normal control group on Gd12.5 and Gd18.5, strong CD47, SIRPα and TSP-1 expression in the placental specimens of pregnant mice in the infection group on Gd12.5 and strong CD47 and TSP-1 expression in the uterine specimens of pregnant mice in the infection group on Gd12.5. CONCLUSIONS T. gondii infection in the first trimester may cause abnormal expression of CD47 and its ligands SIRPα and TSP-1 in the maternal-fetal interface of pregnant mice in the second and third trimesters, which may be associated with the immune escape of T. gondii at the maternal-fetal interface.
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Affiliation(s)
- X Bi
- Department of Parasitology, School of Basic Medical Sciences, Guangxi Medical University, Key Laboratory of Basic Medical Sciences, Nanning, Guangxi 530021, China
- Co-first authors
| | - X Fu
- Department of Parasitology, School of Basic Medical Sciences, Guangxi Medical University, Key Laboratory of Basic Medical Sciences, Nanning, Guangxi 530021, China
- Co-first authors
| | - S Xue
- Nanyang Central Hospital, Nanyang, Henan 473000, China
| | - X Han
- Department of Parasitology, School of Basic Medical Sciences, Guangxi Medical University, Key Laboratory of Basic Medical Sciences, Nanning, Guangxi 530021, China
| | - Y Zeng
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Guangxi Medical University, China
| | - J Sun
- Department of Parasitology, School of Basic Medical Sciences, Guangxi Medical University, Key Laboratory of Basic Medical Sciences, Nanning, Guangxi 530021, China
| | - D Liu
- Department of Parasitology, School of Basic Medical Sciences, Guangxi Medical University, Key Laboratory of Basic Medical Sciences, Nanning, Guangxi 530021, China
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Zhang Q, Zhang J, Wei F, Fu X, Wei H, Lu J, Ma L, Wang H. The CCCH-Type Zinc-Finger Protein GhC3H20 Enhances Salt Stress Tolerance in Arabidopsis thaliana and Cotton through ABA Signal Transduction Pathway. Int J Mol Sci 2023; 24:ijms24055057. [PMID: 36902489 PMCID: PMC10002529 DOI: 10.3390/ijms24055057] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/26/2023] [Accepted: 03/03/2023] [Indexed: 03/09/2023] Open
Abstract
The CCCH zinc-finger protein contains a typical C3H-type motif widely existing in plants, and it plays an important role in plant growth, development, and stress responses. In this study, a CCCH zinc-finger gene, GhC3H20, was isolated and thoroughly characterized to regulate salt stress in cotton and Arabidopsis. The expression of GhC3H20 was up-regulated under salt, drought, and ABA treatments. GUS activity was detected in the root, stem, leaves, and flowers of ProGhC3H20::GUS transgenic Arabidopsis. Compared with the control, the GUS activity of ProGhC3H20::GUS transgenic Arabidopsis seedlings under NaCl treatment was stronger. Through the genetic transformation of Arabidopsis, three transgenic lines of 35S-GhC3H20 were obtained. Under NaCl and mannitol treatments, the roots of the transgenic lines were significantly longer than those of the wild-type (WT) Arabidopsis. The leaves of the WT turned yellow and wilted under high-concentration salt treatment at the seedling stage, while the leaves of the transgenic Arabidopsis lines did not. Further investigation showed that compared with the WT, the content of catalase (CAT) in the leaves of the transgenic lines was significantly higher. Therefore, compared with the WT, overexpression of GhC3H20 enhanced the salt stress tolerance of transgenic Arabidopsis. A virus-induced gene silencing (VIGS) experiment showed that compared with the control, the leaves of pYL156-GhC3H20 plants were wilted and dehydrated. The content of chlorophyll in pYL156-GhC3H20 leaves was significantly lower than those of the control. Therefore, silencing of GhC3H20 reduced salt stress tolerance in cotton. Two interacting proteins (GhPP2CA and GhHAB1) of GhC3H20 have been identified through a yeast two-hybrid assay. The expression levels of PP2CA and HAB1 in transgenic Arabidopsis were higher than those in the WT, and pYL156-GhC3H20 had expression levels lower than those in the control. GhPP2CA and GhHAB1 are the key genes involved in the ABA signaling pathway. Taken together, our findings demonstrate that GhC3H20 may interact with GhPP2CA and GhHAB1 to participate in the ABA signaling pathway to enhance salt stress tolerance in cotton.
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Bai J, Li J, Wang L, Hao S, Guo Y, Liu Y, Zhang Z, Li H, Sun WQ, Shi G, Wan P, Fu X. Effect of antioxidant procyanidin b2 (pcb2) on ovine oocyte developmental potential in response to in vitro maturation (ivm) and vitrification stress. Cryo Letters 2023; 44:109-117. [PMID: 37883161] [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: 10/27/2023]
Abstract
BACKGROUND It was demonstrated that external stress, such as in vitro maturation (IVM) and vitrification process can induce significantly reduced development capacity in oocytes. Previous studies indicated that antioxidants play a pivotal part in the acquisition of adaptation in changed conditions. At present, the role of the natural potent antioxidant PCB2 in response to IVM and vitrification during ovine oocyte manipulation has not been explored. OBJECTIVE To investigate whether PCB2 treatment could improve the developmental potential of ovine oocytes under IVM and vitrification stimuli. MATERIALS AND METHODS The experiment was divided into two parts. Firstly, the effect of PCB2 on the development of oocytes during IVM was evaluated. Un-supplemented and 5 ug per mL PCB2-supplemented in the IVM solution were considered as control and experimental groups (C + 5 ug per mL PCB2). The polar body extrusion (PBE) rate, mitochondrial membrane potential (MMP), ATP, reactive oxygen species (ROS) levels and early apoptosis of oocytes were measured after IVM. Secondly, we further determine whether PCB2 could improve oocyte quality under vitrification stress. The survival rate, PBE rate and early apoptosis of oocytes were compared between fresh group, vitrified group and 5 ug per mL PCB2-supplemented in the IVM solution after vitrification (V + 5 ug per mL PCB2). RESULTS Compared to the control group, adding PCB2 significantly increased PBE rate (79.4% vs. 62.8%, P < 0.01) and MMP level (1.9 +/- 0.08 vs. 1.3 +/- 0.04, P < 0.01), and decreased ROS level (47.1 +/- 6.3 vs. 145.3 +/- 8.9, P < 0.01). However, there was no significant difference in ATP content and early apoptosis. Compared to the fresh group, vitrification significantly reduced oocytes viability (43.0% vs. 90.8%, P < 0.01) as well as PBE rate (24.2% vs. 60.6%, P < 0.05). However, 5 ug per mL PCB2-supplemention during maturation had no effect on survival, PBE or early apoptosis in vitrified oocytes. CONCLUSION PCB2 could effectively antagonise the oxidative stress during IVM and promote oocyte development. DOI: 10.54680/fr23210110412.
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Affiliation(s)
- J Bai
- Institute of Biothermal Science and Technology, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - J Li
- Department of Reproductive Medicine, Reproductive Medical Center, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - L Wang
- National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - S Hao
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Y Guo
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Y Liu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Z Zhang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - H Li
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - W Q Sun
- Institute of Biothermal Science and Technology, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - G Shi
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - P Wan
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China.
| | - X Fu
- National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing; State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China.
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Chen P, Wei F, Jian H, Hu T, Wang B, Lv X, Wang H, Fu X, Yu S, Wei H, Ma L. A Comprehensive Gene Co-Expression Network Analysis Reveals a Role of GhWRKY46 in Responding to Drought and Salt Stresses. Int J Mol Sci 2022; 23:ijms232012181. [PMID: 36293038 PMCID: PMC9603583 DOI: 10.3390/ijms232012181] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 09/28/2022] [Accepted: 10/08/2022] [Indexed: 11/29/2022] Open
Abstract
Abiotic stress, such as drought and salinity stress, seriously inhibit the growth and development of plants. Therefore, it is vital to understand the drought and salinity resistance mechanisms to enable cotton to provide more production under drought and salt conditions. In this study, we identified 8806 and 9108 differentially expressed genes (DEGs) through a comprehensive analysis of transcriptomic data related to the PEG-induced osmotic and salt stress in cotton. By performing weighted gene co-expression network analysis (WGCNA), we identified four co-expression modules in PEG treatment and five co-expression modules in salinity stress, which included 346 and 324 predicted transcription factors (TFs) in these modules, respectively. Correspondingly, whole genome duplication (WGD) events mainly contribute to the expansion of those TFs. Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) analyses revealed those different modules were associated with stress resistance, including regulating macromolecule metabolic process, peptidase activity, transporter activity, lipid metabolic process, and responses to stimulus. Quantitative RT-PCR analysis was used to confirm the expression levels of 15 hub TFs in PEG6000 and salinity treatments. We found that the hub gene GhWRKY46 could alter salt and PEG-induced drought resistance in cotton through the virus-induced gene silencing (VIGS) method. Our results provide a preliminary framework for further investigation of the cotton response to salt and drought stress, which is significant to breeding salt- and drought-tolerant cotton varieties.
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Affiliation(s)
- Pengyun Chen
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng 475004, China
| | - Fei Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
- School of Life Sciences, Zhengzhou University, Zhengzhou 450000, China
| | - Hongliang Jian
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Tingli Hu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Baoquan Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Xiaoyan Lv
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Hantao Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Xiaokang Fu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Shuxun Yu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
- Correspondence: (H.W.); (L.M.)
| | - Liang Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
- Correspondence: (H.W.); (L.M.)
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Fu X, Zhang Y, Zhang YG, Yin YL, Yan SC, Zhao YZ, Shen WZ. Research and application of a new multilevel fuzzy comprehensive evaluation method for cold stress in dairy cows. J Dairy Sci 2022; 105:9137-9161. [PMID: 36153158 DOI: 10.3168/jds.2022-21828] [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: 01/16/2022] [Accepted: 06/14/2022] [Indexed: 11/19/2022]
Abstract
Effective and comprehensive evaluation of cold stress is critical for healthy dairy cow breeding in the winter. Previous studies on dairy cow cold stress have considered thermal environmental factors but not physiological factors or air quality. Therefore, this study aimed to propose a multilevel fuzzy comprehensive evaluation (FCE) method for cold stress in dairy cows based on the analytic hierarchy process (AHP) and a genetic algorithm (GA). First, the AHP was used to construct an evaluation index system for cold stress in dairy cows from 3 dimensions: thermal environment (temperature, relative humidity, wind speed, and illumination), physiological factors (respiratory rate, body surface temperature), and air quality [NH3, CO2, inhalable particulate matter (PM10)]. Second, the consistency test of the judgment matrix was transformed into a nonlinear constrained optimization problem and solved using the GA. Next, based on fuzzy set theory, the comment set and membership function were established to classify the degree of cold stress into 5 levels: none, mild, moderate, high, and extreme. Then, the degree of cold stress in cows was obtained using multilevel fuzzy comprehensive judgment. To investigate the effect of illumination indicators on cold stress in dairy cows, 24 prelactation cows from the south and north sides were selected for a 117-d comprehensive cold stress evaluation. The results showed that the mean mild cold stress durations were 605.3 h (25.22 d) and 725.5 h (30.23 d) and the moderate cold stress durations were 67.2 h (2.8 d) and 96 h (4.0 d) on the south and north sides, respectively. Simultaneously, generalized linear mixed model showed that there were significant correlations between the daily cold stress duration and milk yield, feeding time, lying time, and active steps in the cows on both sides. This method can reasonably indicate cow cold stress conditions and better guide cold protection practices in actual production.
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Affiliation(s)
- X Fu
- College of Electrical and Information, Northeast Agricultural University, Harbin 150030, PR China
| | - Y Zhang
- College of Electrical and Information, Northeast Agricultural University, Harbin 150030, PR China
| | - Y G Zhang
- College of Animal Sciences and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Y L Yin
- College of Electrical and Information, Northeast Agricultural University, Harbin 150030, PR China
| | - S C Yan
- College of Electrical and Information, Northeast Agricultural University, Harbin 150030, PR China
| | - Y Z Zhao
- Department of Computer Science, University of California, Irvine 92612
| | - W Z Shen
- College of Electrical and Information, Northeast Agricultural University, Harbin 150030, PR China.
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Dai L, Chen KN, Y. Wu, Ma J, Guo S, Tian H, Xiao G, Liu W, He M, Chen C, Shi X, Wang Z, Liu J, Guo W, Cui Y, Dai T, Fu X, Jiao W. 1243P Influence of home nutritional therapy on body weight in patients with esophageal cancer after surgery: A prospective observational study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1361] [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: 11/24/2022] Open
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Guo Y, Bai J, Zhang Z, Liu Y, Lu S, Liu C, Ni J, Zhou P, Fu X, Sun WQ, Wan P, Shi G. Pregnancy of cryopreserved ovine embryos at different developmental stages. Cryo Letters 2022; 43:269-275. [PMID: 36626131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Developmental stage and cryopreservation method have significant impact on the pregnancy rate after transfer of embryos produced in vivo. OBJECTIVE To determine the pregnancy outcomes from ovine embryos cryopreserved at different developmental stages. MATERIALS AND METHODS Embryos at different developmental stages were obtained from donor ewes through simultaneous estrus treatment and laparoscopic artificial insemination. Embryos, either cryopreserved via vitrification or slow freezing method, were implanted into recipient ewes. The pregnancy rate was determined 35 days after transfer. RESULTS The pregnancy rate of developing embryos increases after transfer from the morula stage, early blastocyst to expanded blastocyst stages (64.9%, 73.9% and 81.3%, respectively). However, cryopreservation significantly decreases the pregnancy rate of embryos at all three developmental stages, and there is no significant difference among developmental stages (43.9%, 43.7%, 52.9%, respectively). There is also no significant difference in the pregnancy rate between slowly-frozen embryos and vitrified embryos. CONCLUSION The pregnancy outcomes of embryo transfer is better at the expanded blastocyst stage than at earlier stages. However, no difference is observed in the pregnancy rate of embryos at different developmental stage after cryopreservation, either by slow freezing and vitrification. Cryopreservation methods for ovine embryos, both slow freezing and vitrification, need further improvement. doi.org/10.54680/fr22510110512.
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Affiliation(s)
- Y Guo
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, P.R. China
| | - J Bai
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang; Institute of Biothermal Science and Technology, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai; National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Z Zhang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, P.R. China
| | - Y Liu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, P.R. China
| | - S Lu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, P.R. China
| | - C Liu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, P.R. China
| | | | - P Zhou
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, P.R. China
| | - X Fu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang; National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - W Q Sun
- Institute of Biothermal Science and Technology, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, P.R. China
| | - P Wan
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, China.
| | - G Shi
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, Xinjiang, China.
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Zhang C, Hou R, Fu X. EP05.03-012 Deep Learning-based Classifier to Predict Intensified Locoregional Approach Need in Stage III Non-Small Cell Lung Cancer. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.515] [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: 11/29/2022]
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Wan R, Yang G, Liu Q, Fu X, Liu Z, Miao H, Liu H, Huang W. PKIB involved in the metastasis and survival of osteosarcoma. Front Oncol 2022; 12:965838. [PMID: 36072791 PMCID: PMC9441607 DOI: 10.3389/fonc.2022.965838] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/01/2022] [Indexed: 12/03/2022] Open
Abstract
Osteosarcoma is frequently metastasized at the time of diagnosis in patients. However, the underlying mechanism of osteosarcoma metastasis remains poorly understood. In this study, we evaluated DNA methylation profiles combined with gene expression profiles of 21 patients with metastatic osteosarcoma and 64 patients with non-metastatic osteosarcoma from TARGET database and identified PKIB and AIM2 as hub genes related to the metastasis of osteosarcoma. To verify the effects of PKIB on migration and invasion of osteosarcoma, we performed wound-healing assay and transwell assay. The results showed that PKIB significantly inhibited the migration and invasion of osteosarcoma cells, and the Western blot experiments showed that the protein level of E-cad was upregulated and of VIM was downregulated in 143-B cell recombinant expression PKIB. These results indicate that PKIB inhibit the metastasis of osteosarcoma. CCK-8 assay results showed that PKIB promote the proliferation of osteosarcoma. In addition, the Western blot results showed that the phosphorylation level of Akt was upregulated in 143-B cells overexpressing PKIB, indicating that PKIB promotes the proliferation of osteosarcoma probably through signaling pathway that Akt involved in. These results give us clues that PKIB was a potential target for osteosarcoma therapy. Furthermore, combined clinical profiles analysis showed that the expression of AIM2- and PKIB- related risk scores was significantly related to the overall survival of patients with osteosarcoma. Thus, we constructed a nomogram based on AIM2 and PKIB expression–related risk scores for osteosarcoma prognostic assessment to predict the 1-, 2-, 3-, and 5-year overall survival rate of patients with metastatic osteosarcoma, assisting clinicians in the diagnosis and treatment of metastatic osteosarcoma.
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Affiliation(s)
- Rongxue Wan
- Orthopaedic Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
- Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Gu Yang
- Guangdong Innovation Platform for Translation of 3D Printing Application, Southern Medical University, The Third Affiliated Hospital of Southern Medical University, Southern Medical University, Guangzhou, China
| | - Qianzhen Liu
- Orthopaedic Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xiaokang Fu
- Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Zengping Liu
- Orthopaedic Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Huilai Miao
- Department of Hepatobiliary Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
- The Key Laboratory of Diagnosis and Repair in Liver Injury, Guangdong Medical University, Zhanjiang, China
- *Correspondence: Huilai Miao, ; Huan Liu, ; Wenhua Huang,
| | - Huan Liu
- Department of Orthopedics, Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, China
- National Traditional Chinese Medicine Clinical Research Base, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
- *Correspondence: Huilai Miao, ; Huan Liu, ; Wenhua Huang,
| | - Wenhua Huang
- Orthopaedic Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
- Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Innovation Platform for Translation of 3D Printing Application, Southern Medical University, The Third Affiliated Hospital of Southern Medical University, Southern Medical University, Guangzhou, China
- *Correspondence: Huilai Miao, ; Huan Liu, ; Wenhua Huang,
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Lu Z, Yin G, Chai M, Sun L, Wei H, Chen J, Yang Y, Fu X, Li S. Systematic analysis of CNGCs in cotton and the positive role of GhCNGC32 and GhCNGC35 in salt tolerance. BMC Genomics 2022; 23:560. [PMID: 35931984 PMCID: PMC9356423 DOI: 10.1186/s12864-022-08800-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Received: 01/30/2022] [Accepted: 07/27/2022] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Cyclic nucleotide-gated ion channels (CNGCs) are calcium-permeable channels that participate in a variety of biological functions, such as signaling pathways, plant development, and environmental stress and stimulus responses. Nevertheless, there have been few studies on CNGC gene family in cotton. RESULTS In this study, a total of 114 CNGC genes were identified from the genomes of 4 cotton species. These genes clustered into 5 main groups: I, II, III, IVa, and IVb. Gene structure and protein motif analysis showed that CNGCs on the same branch were highly conserved. In addition, collinearity analysis showed that the CNGC gene family had expanded mainly by whole-genome duplication (WGD). Promoter analysis of the GhCNGCs showed that there were a large number of cis-acting elements related to abscisic acid (ABA). Combination of transcriptome data and the results of quantitative RT-PCR (qRT-PCR) analysis revealed that some GhCNGC genes were induced in response to salt and drought stress and to exogenous ABA. Virus-induced gene silencing (VIGS) experiments showed that the silencing of the GhCNGC32 and GhCNGC35 genes decreased the salt tolerance of cotton plants (TRV:00). Specifically, physiological indexes showed that the malondialdehyde (MDA) content in gene-silenced plants (TRV:GhCNGC32 and TRV:GhCNGC35) increased significantly under salt stress but that the peroxidase (POD) activity decreased. After salt stress, the expression level of ABA-related genes increased significantly, indicating that salt stress can trigger the ABA signal regulatory mechanism. CONCLUSIONS we comprehensively analyzed CNGC genes in four cotton species, and found that GhCNGC32 and GhCNGC35 genes play an important role in cotton salt tolerance. These results laid a foundation for the subsequent study of the involvement of cotton CNGC genes in salt tolerance.
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Affiliation(s)
- Zhengying Lu
- Handan Academy of Agricultural Sciences, Handan, China
| | - Guo Yin
- Handan Academy of Agricultural Sciences, Handan, China
| | - Mao Chai
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences (CAAS), Anyang, China
| | - Lu Sun
- Handan Academy of Agricultural Sciences, Handan, China
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences (CAAS), Anyang, China
| | - Jie Chen
- Handan Academy of Agricultural Sciences, Handan, China
| | - Yufeng Yang
- Handan Academy of Agricultural Sciences, Handan, China
| | - Xiaokang Fu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences (CAAS), Anyang, China.
| | - Shiyun Li
- Handan Academy of Agricultural Sciences, Handan, China.
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Evans RA, Leavy OC, Richardson M, Elneima O, McAuley HJC, Shikotra A, Singapuri A, Sereno M, Saunders RM, Harris VC, Houchen-Wolloff L, Aul R, Beirne P, Bolton CE, Brown JS, Choudhury G, Diar-Bakerly N, Easom N, Echevarria C, Fuld J, Hart N, Hurst J, Jones MG, Parekh D, Pfeffer P, Rahman NM, Rowland-Jones SL, Shah AM, Wootton DG, Chalder T, Davies MJ, De Soyza A, Geddes JR, Greenhalf W, Greening NJ, Heaney LG, Heller S, Howard LS, Jacob J, Jenkins RG, Lord JM, Man WDC, McCann GP, Neubauer S, Openshaw PJM, Porter JC, Rowland MJ, Scott JT, Semple MG, Singh SJ, Thomas DC, Toshner M, Lewis KE, Thwaites RS, Briggs A, Docherty AB, Kerr S, Lone NI, Quint J, Sheikh A, Thorpe M, Zheng B, Chalmers JD, Ho LP, Horsley A, Marks M, Poinasamy K, Raman B, Harrison EM, Wain LV, Brightling CE, Abel K, Adamali H, Adeloye D, Adeyemi O, Adrego R, Aguilar Jimenez LA, Ahmad S, Ahmad Haider N, Ahmed R, Ahwireng N, Ainsworth M, Al-Sheklly B, Alamoudi A, Ali M, Aljaroof M, All AM, Allan L, Allen RJ, Allerton L, Allsop L, Almeida P, Altmann D, Alvarez Corral M, Amoils S, Anderson D, Antoniades C, Arbane G, Arias A, Armour C, Armstrong L, Armstrong N, Arnold D, Arnold H, Ashish A, Ashworth A, Ashworth M, Aslani S, Assefa-Kebede H, Atkin C, Atkin P, Aung H, Austin L, Avram C, Ayoub A, Babores M, Baggott R, Bagshaw J, Baguley D, Bailey L, Baillie JK, Bain S, Bakali M, Bakau M, Baldry E, Baldwin D, Ballard C, Banerjee A, Bang B, Barker RE, Barman L, Barratt S, Barrett F, Basire D, Basu N, Bates M, Bates A, Batterham R, Baxendale H, Bayes H, Beadsworth M, Beckett P, Beggs M, Begum M, Bell D, Bell R, Bennett K, Beranova E, Bermperi A, Berridge A, Berry C, Betts S, Bevan E, Bhui K, Bingham M, Birchall K, Bishop L, Bisnauthsing K, Blaikely J, Bloss A, Bolger A, Bonnington J, Botkai A, Bourne C, Bourne M, Bramham K, Brear L, Breen G, Breeze J, Bright E, Brill S, Brindle K, Broad L, Broadley A, Brookes C, Broome M, Brown A, Brown A, Brown J, Brown J, Brown M, Brown M, Brown V, Brugha T, Brunskill N, Buch M, Buckley P, Bularga A, Bullmore E, Burden L, Burdett T, Burn D, Burns G, Burns A, Busby J, Butcher R, Butt A, Byrne S, Cairns P, Calder PC, Calvelo E, Carborn H, Card B, Carr C, Carr L, Carson G, Carter P, Casey A, Cassar M, Cavanagh J, Chablani M, Chambers RC, Chan F, Channon KM, Chapman K, Charalambou A, Chaudhuri N, Checkley A, Chen J, Cheng Y, Chetham L, Childs C, Chilvers ER, Chinoy H, Chiribiri A, Chong-James K, Choudhury N, Chowienczyk P, Christie C, Chrystal M, Clark D, Clark C, Clarke J, Clohisey S, Coakley G, Coburn Z, Coetzee S, Cole J, Coleman C, Conneh F, Connell D, Connolly B, Connor L, Cook A, Cooper B, Cooper J, Cooper S, Copeland D, Cosier T, Coulding M, Coupland C, Cox E, Craig T, Crisp P, Cristiano D, Crooks MG, Cross A, Cruz I, Cullinan P, Cuthbertson D, Daines L, Dalton M, Daly P, Daniels A, Dark P, Dasgin J, David A, David C, Davies E, Davies F, Davies G, Davies GA, Davies K, Dawson J, Daynes E, Deakin B, Deans A, Deas C, Deery J, Defres S, Dell A, Dempsey K, Denneny E, Dennis J, Dewar A, Dharmagunawardena R, Dickens C, Dipper A, Diver S, Diwanji SN, Dixon M, Djukanovic R, Dobson H, Dobson SL, Donaldson A, Dong T, Dormand N, Dougherty A, Dowling R, Drain S, Draxlbauer K, Drury K, Dulawan P, Dunleavy A, Dunn S, Earley J, Edwards S, Edwardson C, El-Taweel H, Elliott A, Elliott K, Ellis Y, Elmer A, Evans D, Evans H, Evans J, Evans R, Evans RI, Evans T, Evenden C, Evison L, Fabbri L, Fairbairn S, Fairman A, Fallon K, Faluyi D, Favager C, Fayzan T, Featherstone J, Felton T, Finch J, Finney S, Finnigan J, Finnigan L, Fisher H, Fletcher S, Flockton R, Flynn M, Foot H, Foote D, Ford A, Forton D, Fraile E, Francis C, Francis R, Francis S, Frankel A, Fraser E, Free R, French N, Fu X, Furniss J, Garner L, Gautam N, George J, George P, Gibbons M, Gill M, Gilmour L, Gleeson F, Glossop J, Glover S, Goodman N, Goodwin C, Gooptu B, Gordon H, Gorsuch T, Greatorex M, Greenhaff PL, Greenhalgh A, Greenwood J, Gregory H, Gregory R, Grieve D, Griffin D, Griffiths L, Guerdette AM, Guillen Guio B, Gummadi M, Gupta A, Gurram S, Guthrie E, Guy Z, H Henson H, Hadley K, Haggar A, Hainey K, Hairsine B, Haldar P, Hall I, Hall L, Halling-Brown M, Hamil R, Hancock A, Hancock K, Hanley NA, Haq S, Hardwick HE, Hardy E, Hardy T, Hargadon B, Harrington K, Harris E, Harrison P, Harvey A, Harvey M, Harvie M, Haslam L, Havinden-Williams M, Hawkes J, Hawkings N, Haworth J, Hayday A, Haynes M, Hazeldine J, Hazelton T, Heeley C, Heeney JL, Heightman M, Henderson M, Hesselden L, Hewitt M, Highett V, Hillman T, Hiwot T, Hoare A, Hoare M, Hockridge J, Hogarth P, Holbourn A, Holden S, Holdsworth L, Holgate D, Holland M, Holloway L, Holmes K, Holmes M, Holroyd-Hind B, Holt L, Hormis A, Hosseini A, Hotopf M, Howard K, Howell A, Hufton E, Hughes AD, Hughes J, Hughes R, Humphries A, Huneke N, Hurditch E, Husain M, Hussell T, Hutchinson J, Ibrahim W, Ilyas F, Ingham J, Ingram L, Ionita D, Isaacs K, Ismail K, Jackson T, James WY, Jarman C, Jarrold I, Jarvis H, Jastrub R, Jayaraman B, Jezzard P, Jiwa K, Johnson C, Johnson S, Johnston D, Jolley CJ, Jones D, Jones G, Jones H, Jones H, Jones I, Jones L, Jones S, Jose S, Kabir T, Kaltsakas G, Kamwa V, Kanellakis N, Kaprowska S, Kausar Z, Keenan N, Kelly S, Kemp G, Kerslake H, Key AL, Khan F, Khunti K, Kilroy S, King B, King C, Kingham L, Kirk J, Kitterick P, Klenerman P, Knibbs L, Knight S, Knighton A, Kon O, Kon S, Kon SS, Koprowska S, Korszun A, Koychev I, Kurasz C, Kurupati P, Laing C, Lamlum H, Landers G, Langenberg C, Lasserson D, Lavelle-Langham L, Lawrie A, Lawson C, Lawson C, Layton A, Lea A, Lee D, Lee JH, Lee E, Leitch K, Lenagh R, Lewis D, Lewis J, Lewis V, Lewis-Burke N, Li X, Light T, Lightstone L, Lilaonitkul W, Lim L, Linford S, Lingford-Hughes A, Lipman M, Liyanage K, Lloyd A, Logan S, Lomas D, Loosley R, Lota H, Lovegrove W, Lucey A, Lukaschuk E, Lye A, Lynch C, MacDonald S, MacGowan G, Macharia I, Mackie J, Macliver L, Madathil S, Madzamba G, Magee N, Magtoto MM, Mairs N, Majeed N, Major E, Malein F, Malim M, Mallison G, Mandal S, Mangion K, Manisty C, Manley R, March K, Marciniak S, Marino P, Mariveles M, Marouzet E, Marsh S, Marshall B, Marshall M, Martin J, Martineau A, Martinez LM, Maskell N, Matila D, Matimba-Mupaya W, Matthews L, Mbuyisa A, McAdoo S, Weir McCall J, McAllister-Williams H, McArdle A, McArdle P, McAulay D, McCormick J, McCormick W, McCourt P, McGarvey L, McGee C, Mcgee K, McGinness J, McGlynn K, McGovern A, McGuinness H, McInnes IB, McIntosh J, McIvor E, McIvor K, McLeavey L, McMahon A, McMahon MJ, McMorrow L, Mcnally T, McNarry M, McNeill J, McQueen A, McShane H, Mears C, Megson C, Megson S, Mehta P, Meiring J, Melling L, Mencias M, Menzies D, Merida Morillas M, Michael A, Milligan L, Miller C, Mills C, Mills NL, Milner L, Misra S, Mitchell J, Mohamed A, Mohamed N, Mohammed S, Molyneaux PL, Monteiro W, Moriera S, Morley A, Morrison L, Morriss R, Morrow A, Moss AJ, Moss P, Motohashi K, Msimanga N, Mukaetova-Ladinska E, Munawar U, Murira J, Nanda U, Nassa H, Nasseri M, Neal A, Needham R, Neill P, Newell H, Newman T, Newton-Cox A, Nicholson T, Nicoll D, Nolan CM, Noonan MJ, Norman C, Novotny P, Nunag J, Nwafor L, Nwanguma U, Nyaboko J, O'Donnell K, O'Brien C, O'Brien L, O'Regan D, Odell N, Ogg G, Olaosebikan O, Oliver C, Omar Z, Orriss-Dib L, Osborne L, Osbourne R, Ostermann M, Overton C, Owen J, Oxton J, Pack J, Pacpaco E, Paddick S, Painter S, Pakzad A, Palmer S, Papineni P, Paques K, Paradowski K, Pareek M, Parfrey H, Pariante C, Parker S, Parkes M, Parmar J, Patale S, Patel B, Patel M, Patel S, Pattenadk D, Pavlides M, Payne S, Pearce L, Pearl JE, Peckham D, Pendlebury J, Peng Y, Pennington C, Peralta I, Perkins E, Peterkin Z, Peto T, Petousi N, Petrie J, Phipps J, Pimm J, Piper Hanley K, Pius R, Plant H, Plein S, Plekhanova T, Plowright M, Polgar O, Poll L, Porter J, Portukhay S, Powell N, Prabhu A, Pratt J, Price A, Price C, Price C, Price D, Price L, Price L, Prickett A, Propescu J, Pugmire S, Quaid S, Quigley J, Qureshi H, Qureshi IN, Radhakrishnan K, Ralser M, Ramos A, Ramos H, Rangeley J, Rangelov B, Ratcliffe L, Ravencroft P, Reddington A, Reddy R, Redfearn H, Redwood D, Reed A, Rees M, Rees T, Regan K, Reynolds W, Ribeiro C, Richards A, Richardson E, Rivera-Ortega P, Roberts K, Robertson E, Robinson E, Robinson L, Roche L, Roddis C, Rodger J, Ross A, Ross G, Rossdale J, Rostron A, Rowe A, Rowland A, Rowland J, Roy K, Roy M, Rudan I, Russell R, Russell E, Saalmink G, Sabit R, Sage EK, Samakomva T, Samani N, Sampson C, Samuel K, Samuel R, Sanderson A, Sapey E, Saralaya D, Sargant J, Sarginson C, Sass T, Sattar N, Saunders K, Saunders P, Saunders LC, Savill H, Saxon W, Sayer A, Schronce J, Schwaeble W, Scott K, Selby N, Sewell TA, Shah K, Shah P, Shankar-Hari M, Sharma M, Sharpe C, Sharpe M, Shashaa S, Shaw A, Shaw K, Shaw V, Shelton S, Shenton L, Shevket K, Short J, Siddique S, Siddiqui S, Sidebottom J, Sigfrid L, Simons G, Simpson J, Simpson N, Singh C, Singh S, Sissons D, Skeemer J, Slack K, Smith A, Smith D, Smith S, Smith J, Smith L, Soares M, Solano TS, Solly R, Solstice AR, Soulsby T, Southern D, Sowter D, Spears M, Spencer LG, Speranza F, Stadon L, Stanel S, Steele N, Steiner M, Stensel D, Stephens G, Stephenson L, Stern M, Stewart I, Stimpson R, Stockdale S, Stockley J, Stoker W, Stone R, Storrar W, Storrie A, Storton K, Stringer E, Strong-Sheldrake S, Stroud N, Subbe C, Sudlow CL, Suleiman Z, Summers C, Summersgill C, Sutherland D, Sykes DL, Sykes R, Talbot N, Tan AL, Tarusan L, Tavoukjian V, Taylor A, Taylor C, Taylor J, Te A, Tedd H, Tee CJ, Teixeira J, Tench H, Terry S, Thackray-Nocera S, Thaivalappil F, Thamu B, Thickett D, Thomas C, Thomas S, Thomas AK, Thomas-Woods T, Thompson T, Thompson AAR, Thornton T, Tilley J, Tinker N, Tiongson GF, Tobin M, Tomlinson J, Tong C, Touyz R, Tripp KA, Tunnicliffe E, Turnbull A, Turner E, Turner S, Turner V, Turner K, Turney S, Turtle L, Turton H, Ugoji J, Ugwuoke R, Upthegrove R, Valabhji J, Ventura M, Vere J, Vickers C, Vinson B, Wade E, Wade P, Wainwright T, Wajero LO, Walder S, Walker S, Walker S, Wall E, Wallis T, Walmsley S, Walsh JA, Walsh S, Warburton L, Ward TJC, Warwick K, Wassall H, Waterson S, Watson E, Watson L, Watson J, Welch C, Welch H, Welsh B, Wessely S, West S, Weston H, Wheeler H, White S, Whitehead V, Whitney J, Whittaker S, Whittam B, Whitworth V, Wight A, Wild J, Wilkins M, Wilkinson D, Williams N, Williams N, Williams J, Williams-Howard SA, Willicombe M, Willis G, Willoughby J, Wilson A, Wilson D, Wilson I, Window N, Witham M, Wolf-Roberts R, Wood C, Woodhead F, Woods J, Wormleighton J, Worsley J, Wraith D, Wrey Brown C, Wright C, Wright L, Wright S, Wyles J, Wynter I, Xu M, Yasmin N, Yasmin S, Yates T, Yip KP, Young B, Young S, Young A, Yousuf AJ, Zawia A, Zeidan L, Zhao B, Zongo O. Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study. Lancet Respir Med 2022; 10:761-775. [PMID: 35472304 PMCID: PMC9034855 DOI: 10.1016/s2213-2600(22)00127-8] [Citation(s) in RCA: 144] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/23/2022] [Accepted: 03/31/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND No effective pharmacological or non-pharmacological interventions exist for patients with long COVID. We aimed to describe recovery 1 year after hospital discharge for COVID-19, identify factors associated with patient-perceived recovery, and identify potential therapeutic targets by describing the underlying inflammatory profiles of the previously described recovery clusters at 5 months after hospital discharge. METHODS The Post-hospitalisation COVID-19 study (PHOSP-COVID) is a prospective, longitudinal cohort study recruiting adults (aged ≥18 years) discharged from hospital with COVID-19 across the UK. Recovery was assessed using patient-reported outcome measures, physical performance, and organ function at 5 months and 1 year after hospital discharge, and stratified by both patient-perceived recovery and recovery cluster. Hierarchical logistic regression modelling was performed for patient-perceived recovery at 1 year. Cluster analysis was done using the clustering large applications k-medoids approach using clinical outcomes at 5 months. Inflammatory protein profiling was analysed from plasma at the 5-month visit. This study is registered on the ISRCTN Registry, ISRCTN10980107, and recruitment is ongoing. FINDINGS 2320 participants discharged from hospital between March 7, 2020, and April 18, 2021, were assessed at 5 months after discharge and 807 (32·7%) participants completed both the 5-month and 1-year visits. 279 (35·6%) of these 807 patients were women and 505 (64·4%) were men, with a mean age of 58·7 (SD 12·5) years, and 224 (27·8%) had received invasive mechanical ventilation (WHO class 7-9). The proportion of patients reporting full recovery was unchanged between 5 months (501 [25·5%] of 1965) and 1 year (232 [28·9%] of 804). Factors associated with being less likely to report full recovery at 1 year were female sex (odds ratio 0·68 [95% CI 0·46-0·99]), obesity (0·50 [0·34-0·74]) and invasive mechanical ventilation (0·42 [0·23-0·76]). Cluster analysis (n=1636) corroborated the previously reported four clusters: very severe, severe, moderate with cognitive impairment, and mild, relating to the severity of physical health, mental health, and cognitive impairment at 5 months. We found increased inflammatory mediators of tissue damage and repair in both the very severe and the moderate with cognitive impairment clusters compared with the mild cluster, including IL-6 concentration, which was increased in both comparisons (n=626 participants). We found a substantial deficit in median EQ-5D-5L utility index from before COVID-19 (retrospective assessment; 0·88 [IQR 0·74-1·00]), at 5 months (0·74 [0·64-0·88]) to 1 year (0·75 [0·62-0·88]), with minimal improvements across all outcome measures at 1 year after discharge in the whole cohort and within each of the four clusters. INTERPRETATION The sequelae of a hospital admission with COVID-19 were substantial 1 year after discharge across a range of health domains, with the minority in our cohort feeling fully recovered. Patient-perceived health-related quality of life was reduced at 1 year compared with before hospital admission. Systematic inflammation and obesity are potential treatable traits that warrant further investigation in clinical trials. FUNDING UK Research and Innovation and National Institute for Health Research.
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Shah P, Romar G, Manukyan A, Ko W, Hsieh P, Schunkert E, Fu X, Bronson R, Waldman A, Mostaghimi A, Schmidt B, Barrera V, Foreman R, Garber M, Divito S. 818 Translational analysis reveals complex interplay of T cell subsets in drug hypersensitivity reactions. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.832] [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: 11/26/2022]
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Hu J, Su H, Cao H, Wei H, Fu X, Jiang X, Song Q, He X, Xu C, Luo K. AUXIN RESPONSE FACTOR7 integrates gibberellin and auxin signaling via interactions between DELLA and AUX/IAA proteins to regulate cambial activity in poplar. Plant Cell 2022; 34:2688-2707. [PMID: 35435234 PMCID: PMC9252472 DOI: 10.1093/plcell/koac107] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 03/25/2022] [Indexed: 05/20/2023]
Abstract
Cambial development in the stems of perennial woody species is rigorously regulated by phytohormones. Auxin and gibberellin (GA) play crucial roles in stimulating cambial activity in poplar (Populus spp.). In this study, we show that the DELLA protein REPRESSOR of ga1-3 Like 1 (RGL1), AUXIN RESPONSE FACTOR 7 (ARF7), and Aux/INDOLE-3-ACETIC ACID 9 (IAA9) form a ternary complex that mediates crosstalk between the auxin and GA signaling pathways in poplar stems during cambial development. Biochemical analysis revealed that ARF7 physically interacts with RGL1 and IAA9 through distinct domains. The arf7 loss-of-function mutant showed markedly attenuated responses to auxin and GA, whereas transgenic poplar plants overexpressing ARF7 displayed strongly improved cambial activity. ARF7 directly binds to the promoter region of the cambial stem cell regulator WOX4 to modulate its expression, thus integrating auxin and GA signaling to regulate cambial activity. Furthermore, the direct activation of PIN-FORMED 1 expression by ARF7 in the RGL1-ARF7-IAA9 module increased GA-dependent cambial activity via polar auxin transport. Collectively, these findings reveal that the crosstalk between auxin and GA signaling mediated by the RGL1-ARF7-IAA9 module is crucial for the precise regulation of cambial development in poplar.
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Affiliation(s)
- Jian Hu
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Huili Su
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Hui Cao
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Hongbin Wei
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Xiaokang Fu
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Xuemei Jiang
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Qin Song
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
| | - Xinhua He
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing 400715, China
- School of Biological Sciences, University of Western Australia, Perth, WA 6009, Australia
- Department of Land, Air and Water Resources, University of California at Davis, Davis, California 95616, USA
| | | | - Keming Luo
- Authors for correspondence: (K.L); (C.X.)
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DI Iorio M, Cook C, Vanni K, Patel N, D’silva K, Fu X, Wang J, Prisco L, Kowalski E, Zaccardelli A, Martin L, Qian G, Hsu T, Wallace Z, Sparks J. POS1234 DMARD DISRUPTION, INCREASED DISEASE ACTIVITY, AND PROLONGED SYMPTOM DURATION AFTER ACUTE COVID-19 AMONG PATIENTS WITH RHEUMATIC DISEASE: A PROSPECTIVE STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundSystemic autoimmune rheumatic disease (SARD) patients may be at risk for disease flare and prolonged symptom duration after COVID-19, perhaps related to DMARD disruption and immune activation.ObjectivesTo describe DMARD disruption and identify differences in SARD activity among patients with and without prolonged COVID-19 symptom duration.MethodsWe identified all SARD patients with confirmed COVID-19 at the Mass General Brigham healthcare system in Boston, USA; prospective recruitment is ongoing. Surveys were used to collect demographics, clinical characteristics, DMARD disruption, COVID-19 course, and SARD disease activity before and after COVID-19. The survey included validated instruments measuring disease activity, pain, fatigue, functional status, and respiratory quality of life. Prolonged symptom duration was defined as COVID-19 symptoms lasting ≥28 days. We compared differences in patient-reported measures between those with and without prolonged symptoms.ResultsWe analyzed survey responses from 174 COVID-19 survivors with SARDs (mean age 52±16 years, 81% female, 80% White). The most common SARDs were RA (40%) and SLE (14%). Fifty-one percent of the 127 respondents on any DMARD reported a disruption to their regimen at COVID-19 onset (Figure 1). Among individual DMARDs, 56-77% were reported to have any change, except for hydroxychloroquine (23%) and rituximab (46%). SARD flare after COVID-19 was reported by 41% of respondents (Table 1). Patient global assessment of SARD activity was worse after COVID-19 (mean 7.6±2.3 before vs. 6.6±2.9 after COVID-19, p<0.001). Prolonged symptom duration was reported by 45% of participants. Those with prolonged symptoms had a higher initial COVID-19 symptom count (median 7 vs. 4, p<0.001) and were more likely to be hospitalized for COVID-19 (28% vs. 17%, p=0.001). Respondents experiencing prolonged symptom duration had higher disease activity on RAPID3 (p=0.007) as well as more pain (p<0.001) and fatigue (p=0.03) compared to those without prolonged symptoms.Table 1.Acute COVID-19 course, SARD flare/activity, and patient-reported outcomes among COVID-19 survivors with SARDs.All COVID-19 survivors with SARDs (n=174)Prolonged symptom duration ≥28 days (n=78)No prolonged symptom duration/(n=96)p-value (prolonged vs. not)Acute COVID-19 courseCOVID-19 symptom duration, days, median [IQR]14 [9, 29]46 [30, 65]11 [7, 14]<0.0001Initial symptom count, median [IQR]6 [3, 8]7 [6, 9]4 [2, 7]<0.001Hospitalized, n (%)38 (22)22 (28)16 (17)0.001SARD flare/activitySelf-reported SARD flare after COVID-19, n (%)71 (41)38 (49)33 (34)0.15Disease activity by RAPID3, median [IQR]9 [4, 14]11.2 [6, 16]7 [3, 13]0.0067RAPID3 categorical score, n (%)0.13Remission (0)11 (7)4 (5)7 (7)Near remission (0.3-1.0)23 (14)5 (7)18 (19)Low severity (1.3-2.0)26 (15)10 (14)16 (17)Moderate severity (2.3-4.0)55 (33)27 (36)28 (29)High severity (4.3-10.0)54 (32)28 (38)26 (27)Patient-reported outcomesPain by SF-MPQ, median [IQR]2 [1, 2]2 [1, 2]1 [0, 2]0.0008Fatigue by FSI, median [IQR]53 [27, 84]66 [31, 91.5]43 [26, 76]0.031mHAQ, median [IQR]0.125 [0, 0.38]0.25 [0, 0.75]0.125 [0, 0.38]0.11Respiratory quality of life by SGRQ, global [IQR]15 [4, 29]16 [4, 36]10 [4, 26]0.49RAPID3, Routine Assessment of Patient Index Data 3; SF-MPQ, Short-form McGill Pain Questionnaire; FSI, Fatigue Symptom Inventory; mHAQ, modified Health Assessment Questionnaire; SGRQ, Saint George’s Respiratory Questionnaire.Figure 1.Frequency of baseline DMARD use and proportion with any disruption at COVID-19 onset.ConclusionDMARD disruption, SARD flare, and prolonged symptoms were common in this prospective study of COVID-19 survivors with SARDs. Those with prolonged COVID-19 symptom duration, defined as ≥28 days, had higher SARD activity, more pain, and more fatigue compared to those without prolonged symptoms. These findings suggest that post-acute sequelae of COVID-19 may have a large impact on underlying SARD activity and quality of life.Disclosure of InterestsMichael Di Iorio: None declared, Claire Cook: None declared, Kathleen Vanni: None declared, Naomi Patel Consultant of: Receives consulting fees from FVC Health unrelated to this work., Kristin D’Silva: None declared, Xiaoqing Fu: None declared, Jiaqi Wang: None declared, Lauren Prisco: None declared, Emily Kowalski: None declared, Alessandra Zaccardelli: None declared, Lily Martin: None declared, Grace Qian: None declared, Tiffany Hsu: None declared, Zachary Wallace Consultant of: Receives consulting fees from Viela Bio, Zenas BioPharma, and MedPace unrelated to this work., Grant/research support from: Receives research support from Bristol-Myers Squibb and Principia/Sanofi., Jeffrey Sparks Consultant of: Receives consultant fees from AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Gilead, Inova Diagnostics, Janssen, Optum, and Pfizer unrelated to this work., Grant/research support from: Receives research support from Bristol Myers Squibb.
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Gilbert E, Figueroa-Parra G, Valenzuela-Almada M, Vallejo S, Neville MR, Patel N, Cook C, Fu X, Hagi R, McDermott G, Di Iorio M, Masto L, Vanni K, Kowalski E, Qian G, Wallace Z, Duarte-Garcia A, Sparks J. OP0251 IMPACT OF INTERSTITIAL LUNG DISEASE ON SEVERE COVID-19 OUTCOMES FOR PATIENTS WITH RHEUMATOID ARTHRITIS: A MULTICENTER STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundRA has been associated with poor COVID-19 outcomes, but few studies have investigated outcomes in RA features such as interstitial lung disease.ObjectivesTo assess COVID-19 outcomes in patients with RA overall, and those with and without ILD, compared to general population comparators.MethodsA multicenter, retrospective cohort study was conducted at Mayo Clinic (19 hospitals and affiliated outpatient centers in 4 states) and Mass General Brigham (14 hospitals and affiliated outpatient centers in New England). Consecutive patients with RA meeting ACR/EULAR criteria and a positive COVID-19 test from March 1, 2020 through June 6, 2021 were matched 1:5 on age, sex, race, and COVID-19 test date with general population comparators without RA. RA features assessed included: RA-ILD per Bongartz criteria [1], duration, rheumatoid factor (RF), cyclic citrullinated peptide antibody (CCP), bone erosions, and treatments. The primary outcome was a composite of hospitalization or death following COVID-19 diagnosis. We used multivariable Cox regression to investigate the association of RA, and features such as ILD, with COVID-19 outcomes compared to matched comparators.ResultsWe analyzed 582 patients with RA and 2892 comparators without RA, all with COVID-19. Mean age was 62 years, 51% were female, and 79% were White. Mean RA duration was 11 years, 67% were seropositive (52% RF+ and 54% CCP+), 27% had bone erosions, 28% were on steroids, and 79% were on DMARDs. 50/582 (9%) patients with RA had ILD.The COVID-19 hospitalization or death rate for RA patients was higher than comparators (3.0 per 1,000 days [95% CI 2.5-3.6] vs. 1.9 per 1,000 days [95% CI 1.7-2.1], respectively). Overall, RA patients had a 53% higher risk of hospitalization or death than comparators after adjustment (95% CI 1.20-1.94).Among those with RA-ILD, the hospitalization or death rate was significantly higher than comparators (10.9 [95% CI 6.7-15.2] vs. 2.5 per 1,000 days [1.8-3.2], respectively). RA-ILD was associated with nearly 3-fold higher risk for hospitalization or death than comparators (multivariable HR 2.84 [95% CI 1.64-4.91], Table 1). There was a significant interaction between RA/comparator status and presence/absence of ILD for risk of severe COVID-19 (p<0.001, Figure 1). The elevated risk for severe COVID-19 was similar for RA subgroups defined by serostatus or bone erosions.Table 1.Frequencies, proportions, and hazard ratios for COVID-19 outcomes, comparing all RA patients, and subgroups with or without RA-ILD, to matched comparators.COVID-19 OutcomesAll RA Patients (n=582)RA-ILD (n=50)RA Patients without ILD (n=532)Comparators (n=2,892)Hospitalization, n (%)121 (21)24 (48)97 (18)402 (14)Unadjusted HR (95% CI)1.58 (1.27, 1.96)2.65 (1.71, 4.09)1.43 (1.12, 1.82)Ref.Adjusted* HR (95% CI)1.45 (1.14, 1.83)2.35 (1.38, 4.00)1.31 (1.00, 1.70)Ref.Death, n (%)26 (4)9 (18)17 (3)63 (2)Unadjusted HR (95% CI)1.72 (0.98, 3.01)5.88 (2.07, 16.71)1.13 (0.56, 2.29)Ref.Adjusted* HR (95% CI)1.24 (0.66, 2.32)13.94 (4.30, 45.18)0.75 (0.35, 1.63)Ref.Hospitalization or death, n (%)126 (22)25 (50)101 (19)419 (14)Unadjusted HR (95% CI)1.66 (1.33, 2.07)3.01 (1.93, 4.70)1.47 (1.14, 1.89)Ref.Adjusted* HR (95% CI)1.53 (1.20, 1.94)2.84 (1.64, 4.91)1.34 (1.02, 1.77)Ref.*Adjusted for age, sex, race, and smokingFigure 1.Multivariable hazard ratios for the composite outcome of hospitalization or death from COVID-19, comparing all RA and subgroups by serostatus, bone erosions, and ILD to matched comparators without RA.ConclusionWe confirmed that RA was associated with severe COVID-19 outcomes compared to the general population. We found evidence that ILD may be an effect modifier for the relationship between RA and severe COVID-19 outcomes, but RA subgroups defined by serostatus and bone erosions had similarly elevated risk. These findings suggest that ILD or its treatment may be a major contributor to severe COVID-19 outcomes in RA.References[1]Bongartz, T, et al, Arthritis Rheum. 2010 Jun;62(6):1583-91.Disclosure of InterestsNone declared
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Wei F, Chen P, Jian H, Sun L, Lv X, Wei H, Wang H, Hu T, Ma L, Fu X, Lu J, Li S, Yu S. A Comprehensive Identification and Function Analysis of Serine/Arginine-Rich (SR) Proteins in Cotton ( Gossypium spp.). Int J Mol Sci 2022; 23:ijms23094566. [PMID: 35562957 PMCID: PMC9105085 DOI: 10.3390/ijms23094566] [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: 03/29/2022] [Revised: 04/18/2022] [Accepted: 04/18/2022] [Indexed: 12/10/2022] Open
Abstract
As one of the most important factors in alternative splicing (AS) events, serine/arginine-rich (SR) proteins not only participate in the growth and development of plants but also play pivotal roles in abiotic stresses. However, the research about SR proteins in cotton is still lacking. In this study, we performed an extensive comparative analysis of SR proteins and determined their phylogeny in the plant lineage. A total of 169 SR family members were identified from four Gossypium species, and these genes could be divided into eight distinct subfamilies. The domain, motif distribution and gene structure of cotton SR proteins are conserved within each subfamily. The expansion of SR genes is mainly contributed by WGD and allopolyploidization events in cotton. The selection pressure analysis showed that all the paralogous gene pairs were under purifying selection pressure. Many cis-elements responding to abiotic stress and phytohormones were identified in the upstream sequences of the GhSR genes. Expression profiling suggested that some GhSR genes may involve in the pathways of plant resistance to abiotic stresses. The WGCNA analysis showed that GhSCL-8 co-expressed with many abiotic responding related genes in a salt-responding network. The Y2H assays showed that GhSCL-8 could interact with GhSRs in other subfamilies. The subcellular location analysis showed that GhSCL-8 is expressed in the nucleus. The further VIGS assays showed that the silencing of GhSCL-8 could decrease salt tolerance in cotton. These results expand our knowledge of the evolution of the SR gene family in plants, and they will also contribute to the elucidation of the biological functions of SR genes in the future.
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Affiliation(s)
- Fei Wei
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou 450001, China;
| | - Pengyun Chen
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Hongliang Jian
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Lu Sun
- Handan Academy of Agricultural Sciences, Handan 056001, China;
| | - Xiaoyan Lv
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Hantao Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Tingli Hu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Liang Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Xiaokang Fu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Jianhua Lu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
| | - Shiyun Li
- Handan Academy of Agricultural Sciences, Handan 056001, China;
- Correspondence: (S.L.); (S.Y.)
| | - Shuxun Yu
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou 450001, China;
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China; (P.C.); (H.J.); (X.L.); (H.W.); (H.W.); (T.H.); (L.M.); (X.F.); (J.L.)
- Correspondence: (S.L.); (S.Y.)
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Yang YF, Cai ZH, Fu X, Zhang J, Qiu YD, Mao L. [Risk factors of newly developed nonalcoholic fatty liver disease after pancreaticoduodenectomy]. Zhonghua Wai Ke Za Zhi 2022; 60:46-51. [PMID: 34954946 DOI: 10.3760/cma.j.cn112139-20210803-00350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To identify the risk factors of newly developed nonalcoholic fatty liver disease(NAFLD) after pancreaticoduodenectomy(PD). Methods: The clinical data of 130 patients who had undergone PD at Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University from June 2018 to December 2020 were collected retrospectively. There were 74 males and 56 females, with age(M(IQR)) of 62(16) years (range: 22 to 84 years). Twenty-nine patients who developed NAFLD were divided into NAFLD group and 101 patients who did not suffer NAFLD were divided into no NAFLD group. Observation indications included:(1)preoperative demographics,intraoperative and postoperative characteristics; (2)the risk factors of newly developed NAFLD after PD. Count data were analyzed using χ2 test or Fisher's exact test. Measurement data were analyzed by student t test or Mann-Whitney U test. Multivariate analysis was performed using Logistic regression model with a stepwise forward approach. Results: All 130 patients successfully underwent PD and 29 cases(22.3%) developed NAFLD in 6 months after PD. The results of univariate analysis showed that gender,diabetic mellitus,the level of triglyceride preoperatively,and pancreatic ductal adenocarcinoma were the related factors of the development of NAFLD after PD(t=-2.655, χ²=4.563,U=-2.192,χ²=7.044;all P<0.05).Multivariate analysis revealed that gender,body mass index,pancreatic ductal adenocarcinoma were independent risk factors for the development of NAFLD after PD(OR=2.849,1.214,4.165,all P<0.05). Conclusion: Gender, body mass index,pancreatic ductal adenocarcinoma were independent risk factors for the development of NAFLD after PD.
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Affiliation(s)
- Y F Yang
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - Z H Cai
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - X Fu
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - J Zhang
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - Y D Qiu
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
| | - L Mao
- Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital,the Affiliated Hospital of Nanjing University Medical School,Nanjing 210008,China
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Fu X, Almenglo C, Couselo-Seijas M, Fernandez AL, Martinez-Cereijo JM, Duran D, Gonzalez-Juanatey JR, Rodriguez-Manero M, Eiras S. Genesis of epicardial adipocytes and its association with progenitor markers, muscarinic receptor type 3 and b-blockers intake in patients with cardiovascular disease. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3188] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Epicardial fat thickness or volume was found to be associated with cardiovascular disease (CVD). Our aim was to study the epicardial adipocyte-progenitors' markers and its association with cholinergic or adrenergic activity in patients with cardiovascular disease.
Materials and methods
We have included epicardial adipose tissue (EAT) biopsies from 29 patients underwent open-heart surgery. From 10 patients (69±5 years old, 31±8 kg/ m2, 40% CAD, 40% HF, 60% AF, 0% T2DM) stromal cells from epicardial and subcutaneous fat were isolated after collagenase activity and cultured for 14 days and then submitted to adipogenesis for next 14 days. Samples from 19 patients (60±9 years old, 29±4 kg/m2, 42% CAD, 37% HF, 32% AF, 32% T2DM, 53% β-blockers) were used for “ex vivo assays”. Explants were split into equal pieces (100 mg), treated with or without acetylcholine (ACh) for 30 min. Afterwards RNA was isolated and cDNA was amplified by real time PCR. We selected adipocytes progenitors (CD36, PREF1, COL1A1), adipocytes markers (ADIPO, FABP4), muscarinic (muscarinic receptor type 2 (CHRM2) and 3 (CHRM2)) and β-adrenergic receptors (ABRD1, ABRD2 and ABRD3). Gene expression was represented regarding ACTB as 2HK/GEN.
Results
The stromal vascular cells (SVC) from subcutaneous fat (SAT) had higher expression levels of CD36, PREF1 and COL1A1 than SVC from epicardial fat (EAT). It explains the higher adipocytes markers after adipogenesis induction in SAT than EAT cells. However, an upregulation of fibroblasts markers was detected on EAT. The levels of CD36 and PREF1 in SVC were associated with higher adipogenesis. Although CHRM2 was higher in EAT than SAT SVC, the adipogenesis induction upregulated only CHRM3 (1.48±0.065 vs 1.42±0.036 a.u.) in EAT cells. Thus, this receptor was associated with adipocytes markers in epicardial fat (r=0.777 for CD36 and r=0.746 for FABP4) and incremented in epicardial fat biopsies from patients who were taken β-blockers (1.61±0.011 n=10 vs 1.54±0.097 a.u. n=9; p=0.05) and modulated by ACh treatment (p=0.05).
Conclusions
Our results showed that CD36 and PREF1 in epicardial SVC are adipocytes progenitors. The higher presence of adipocytes markers is associated with higher levels of muscarinic receptor (CHRM3), which are upregulated in epicardial fat from patients who were taken β-blockers and modulated by cholinergic activity. Because a metabolic and lipolytic dysfunction was associated with CHRM3, the sympathetic modulation might play a role in the epicardial adipocytes genesis. Further studies are needed to understand if this mechanism might improve or not future cardiovascular events.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): ISCIII (PFIS2020)
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Affiliation(s)
- X Fu
- Instituto de Investigacion Sanitaria de Santiago, Translational Cardiology, Santiago de Compostela, Spain
| | - C Almenglo
- Instituto de Investigacion Sanitaria de Santiago, Translational Cardiology, Santiago de Compostela, Spain
| | - M Couselo-Seijas
- Instituto de Investigacion Sanitaria de Santiago, Translational Cardiology, Santiago de Compostela, Spain
| | - A L Fernandez
- University Hospital of Santiago de Compostela, Heart Surgery Department, Santiago de Compostela, Spain
| | - J M Martinez-Cereijo
- University Hospital of Santiago de Compostela, Heart Surgery Department, Santiago de Compostela, Spain
| | - D Duran
- University Hospital of Santiago de Compostela, Heart Surgery Department, Santiago de Compostela, Spain
| | - J R Gonzalez-Juanatey
- University Hospital of Santiago de Compostela, Cardiovascular Area, Santiago de Compostela, Spain
| | - M Rodriguez-Manero
- Instituto de Investigacion Sanitaria de Santiago, Translational Cardiology, Santiago de Compostela, Spain
| | - S Eiras
- Instituto de Investigacion Sanitaria de Santiago, Translational Cardiology, Santiago de Compostela, Spain
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Couselo Seijas M, Molares Vila A, Bravo Lopez SB, Fernandez AL, Almenglo Buzon C, Fu X, Rodriguez Manero M, Eiras Penas S. Qualitative and quantitative proteomic approach of epicardial cell secretome from atrial fibrillation patients after cholinergic stimulation. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3311] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
The association between epicardial adipose tissue (EAT) and atrial fibrillation (AF) was already described by several authors. In fact, botulinum toxin injection in this tissue reduces new-onset AF after open-heart surgery. Our previous results showed an elevation of adiposity in epicardial stromal vascular cells (SVC), assessed by the higher levels of fatty acid-binding protein 4 (FABP4) in AF patients; and a higher lipid accumulation in these cells after chronic acetylcholine treatment. We wanted to identify the proteins released from EAT SVC in presence/absence of mature adipocytes, that could be exerting a paracrine effect over the myocardium. The identification of these proteins might shed light on possible triggers in epicardial SVC and the mechanisms underlying botulinum toxin benefits on AF.
Material and methods
Proteomic studies were performed in 32 samples from 8 patients undergoing open-heart surgery (4 with and 4 without AF). Epicardial SVC were isolated by collagenase digestion and cultured in M199 medium. Then, cells were induced or not to adipocyte differentiation. After this intervention, cells were treated or not with acetylcholine (10uM) for 30 min. Conditioned medium was stored until be used. Differential released proteins were identified by nano-high performance liquid chromatography (HPLC) and Triple-Time of flying (TOF) analysis, and quantified by SWATH-Ms proteomics anaylisis.
Results
The quantitative proteomic approach has identified 111 common proteins in EAT SVC from patients with and without AF. A 79,3% of the genes which encoded the proteins identified were citoplasmic. A 78,4% were classified as components of the cellular exosomes, followed by genes related with centrosome (37,1%), nucleosome (15,5%), lysosomes (40,5%) and nucleolus (37,1%). Acute cholinergic treatment with ACh at 10 uM decreased α-defensin 3 (DEFA3, ID: 59666; p-value = 0,0297) secretion from EAT SVC of AF patients in comparison with EAT SVC from non-AF patients. In the same line, Peptidyl-prolyl cis-trans isomerase A (PPIA, ID: P62937) showed a lower secretion from SVC of AF patients (p=0,0326). After adipogenesis-induction, adipocyte presence modified the protein secretion under ACh treatment: Differences between AF and non-AF patients lied on 2 different proteins: profilin 1 (PFN1, ID: P07737, p-value = 0,0286) and β-enolase (ENO3, ID: P13929, p-value = 0,0414), showing a higher and lower secretion in AF patients regarding non-AF patients, respectively.
Conclusions
EAT SVC showed a differential protein secretion according adipocyte and AF presence. Although further studies are needed, the proteins differentially secreted in EAT SVC are related to inflammation (DEFA3), structure (PFN1) and glucose metabolism (ENO3), pointing the pathways that could be modified in AF patients.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Plan Estatal de I+D+I 2016-2020 and ISCIII-Subdirecciόn General de Evaluaciόn y Fomento de la Investigaciόn el Fondo Europeo de Desarrollo Regional (FEDER) Figure 1. Common proteins secreted from EAT SVCFigure 2. Differentially secreted proteins in AF
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Affiliation(s)
- M Couselo Seijas
- Health Research Institute, Translational Cardiology, Santiago de Compostela, Spain
| | - A Molares Vila
- Health Research Institute, Bioinformatics Unit, Santiago de Compostela, Spain
| | - S B Bravo Lopez
- Health Research Institute, Proteomics Unit, Santiago de Compostela, Spain
| | - A L Fernandez
- University Hospital of Santiago de Compostela, CIBERCV, Madrid. Heart Surgery Department, Santiago de Compostela, Spain
| | - C Almenglo Buzon
- Health Research Institute, Translational Cardiology, Santiago de Compostela, Spain
| | - X Fu
- Health Research Institute, Translational Cardiology, Santiago de Compostela, Spain
| | - M Rodriguez Manero
- University Hospital of Santiago de Compostela, Cardiovascular Area. CIBERCV, Madrid. Cardiology Group, IDIS, Santiago de Compostela, Spain
| | - S Eiras Penas
- Health Research Institute, CIBERCV, Madrid, Spain. Translational Cardiology Group, Santiago de Compostela, Spain
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Sun D, Chen P, Li X, Hu J, Xu L, Fu X, Liu Y, Liu D, Liu L, Zhang X, He J. OA08.03 The 5-year Survival Rate of Postoperative Non-small Cell Lung Cancer Patients with Two Different Follow-up Patterns. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.059] [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: 11/17/2022]
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Zheng L, Li L, He Q, Wang M, Ma Y, Zhu J, Li Y, Fu X, Zhang Y. Response to immunotherapy in a patient with anaplastic thyroid cancer: A case report. Medicine (Baltimore) 2021; 100:e26138. [PMID: 34397868 PMCID: PMC8360478 DOI: 10.1097/md.0000000000026138] [Citation(s) in RCA: 6] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 05/11/2021] [Indexed: 01/04/2023] Open
Abstract
RATIONALE Anaplastic thyroid carcinoma (ATC) is an aggressive malignancy that is almost always fatal and lacks effective systemic treatment options. Current treatments of ATC include surgery, radiation, and chemotherapy, used in combination when possible. In the aspect of immunotherapy, the biomarker of TMB-H and MSI-H may suggest that patients benefit from pembrolizumab. Programmed cell death-ligand 1 (PD-L1) is highly expressed in ATC but has not been written into the guidelines or approved by the FDA as a biomarker for thyroid cancer immunotherapy. PATIENT CONCERNS A 55-year-old woman was admitted to our hospital because of a slight right-sided neck enlargement in November 2019. DIAGNOSES The clinical diagnosis was ATC, pT3bN0M0, and stage IVB. INTERVENTIONS Oral administration of apatinib (250 mg 3 times daily) was initiated after surgery, but some unpleasant side effects emerged after 1 month of treatment. Next-generation sequencing revealed that the tumor harbored 2 mutations, HRAS p.Q61R and TP53 p.P278S, and PD-L1 staining was positive with a high expression. Thus, camrelizumab (programmed cell death protein 1 inhibitor) was combined with apatinib, and apatinib was changed to 250 mg once a day from March 2020. OUTCOMES No adverse reactions were observed after the treatment immunotherapy combined with antiangiogenic drugs. Currently, the survival time of patients is more than 11 months, and the quality of life is not affected. CONCLUSION This case suggests that immunotherapy in patients with ATC based upon PD-L1 evaluation provides a therapeutic option. Targeting programmed cell death protein 1/PD-L1 may provide a much-needed treatment option for patients with advanced ATC.
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Affiliation(s)
- Luming Zheng
- Department of General Surgery, 960th Hospital of the People's Liberation Army, Jinan, Shandong, P. R. China
| | - Ling Li
- Yinfeng Gene Technology Co Ltd, CORA, Jinan, Shandong, P. R. China
| | - Qingqing He
- Department of General Surgery, 960th Hospital of the People's Liberation Army, Jinan, Shandong, P. R. China
| | - Meng Wang
- Department of General Surgery, 960th Hospital of the People's Liberation Army, Jinan, Shandong, P. R. China
| | - Yunhan Ma
- Department of General Surgery, 960th Hospital of the People's Liberation Army, Jinan, Shandong, P. R. China
| | - Jian Zhu
- Department of General Surgery, 960th Hospital of the People's Liberation Army, Jinan, Shandong, P. R. China
| | - Yanchen Li
- Department of General Surgery, 960th Hospital of the People's Liberation Army, Jinan, Shandong, P. R. China
| | - Xiaokang Fu
- Department of General Surgery, 960th Hospital of the People's Liberation Army, Jinan, Shandong, P. R. China
| | - Yaxuan Zhang
- Yinfeng Gene Technology Co Ltd, CORA, Jinan, Shandong, P. R. China
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Zhang M, Wei H, Liu J, Bian Y, Ma Q, Mao G, Wang H, Wu A, Zhang J, Chen P, Ma L, Fu X, Yu S. Non-functional GoFLA19s are responsible for the male sterility caused by hybrid breakdown in cotton (Gossypium spp.). Plant J 2021; 107:1198-1212. [PMID: 34160096 DOI: 10.1111/tpj.15378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 06/10/2021] [Accepted: 06/19/2021] [Indexed: 06/13/2023]
Abstract
Hybrid breakdown (HB) functions as a common reproductive barrier and reduces hybrid fitness in many species, including cotton. However, the related genes and the underlying genetic mechanisms of HB in cotton remain unknown. Here, we found that the photosensitive genetic male sterile line CCRI9106 was a hybrid progeny of Gossypium hirsutum and Gossypium barbadense and probably a product of HB. Fine mapping with F2 s (CCRI9106 × G. hirsutum/G. barbadense lines) identified a pair of male sterility genes GoFLA19s (encoding fasciclin-like arabinogalactan family protein) located on chromosomes A12 and D12. Crucial variations occurring in the fasciclin-like domain and the arabinogalactan protein domain were predicted to cause the non-functionalization of GbFLA19-D and GhFLA19-A. CRISPR/Cas9-mediated knockout assay confirmed the effects of GhFLA19s on male sterility. Sequence alignment analyses showed that variations in GbFLA19-D and GhFLA19-A likely occurred after the formation of allotetraploid cotton species. GoFLA19s are specifically expressed in anthers and contribute to tapetal development, exine assembly, intine formation, and pollen grain maturation. RNA-sequencing and quantitative reverse transcriptase-polymerase chain reaction analyses illustrated that genes related to these biological processes were significantly downregulated in the mutant. Our research on male sterility genes, GoFLA19s, improves the understanding of the molecular characteristics and evolutionary significance of HB in interspecific hybrid breeding.
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Affiliation(s)
- Meng Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Ji Liu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Yingjie Bian
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Qiang Ma
- College of Biology and Food Engineering, Anyang Institute of Technology, Anyang, Henan, 455000, China
| | - Guangzhi Mao
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Hantao Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Aimin Wu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Jingjing Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Pengyun Chen
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Liang Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Xiaokang Fu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
| | - Shuxun Yu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
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Yang X, Zhang J, Wu A, Wei H, Fu X, Tian M, Ma L, Lu J, Wang H, Yu S. Corrigendum: Genome-Wide Identification and Expression Pattern Analysis of the HAK/KUP/KT Gene Family of Cotton in Fiber Development and Under Stresses. Front Genet 2021; 12:632854. [PMID: 34354731 PMCID: PMC8329957 DOI: 10.3389/fgene.2021.632854] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 04/22/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Xu Yang
- School of Agronomy Sciences, Zhengzhou University, Zhengzhou, China.,State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Jingjing Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Aimin Wu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Xiaokang Fu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Miaomiao Tian
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Liang Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Jianhua Lu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Hantao Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
| | - Shuxun Yu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
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Tian M, Wu A, Zhang M, Zhang J, Wei H, Yang X, Ma L, Lu J, Fu X, Wang H, Yu S. Genome-Wide Identification of the Early Flowering 4 ( ELF4) Gene Family in Cotton and Silent GhELF4-1 and GhEFL3-6 Decreased Cotton Stress Resistance. Front Genet 2021; 12:686852. [PMID: 34326861 PMCID: PMC8315153 DOI: 10.3389/fgene.2021.686852] [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] [Received: 03/28/2021] [Accepted: 05/31/2021] [Indexed: 12/03/2022] Open
Abstract
The early flowering 4 (ELF4) family members play multiple roles in the physiological development of plants. ELF4s participated in the plant biological clock's regulation process, photoperiod, hypocotyl elongation, and flowering time. However, the function in the ELF4s gene is barely known. In this study, 11, 12, 21, and 22 ELF4 genes were identified from the genomes of Gossypium arboreum, Gossypium raimondii, Gossypium hirsutum, and Gossypium barbadense, respectively. There ELF4s genes were classified into four subfamilies, and members from the same subfamily show relatively conservative gene structures. The results of gene chromosome location and gene duplication revealed that segmental duplication promotes gene expansion, and the Ka/Ks indicated that the ELF4 gene family has undergone purification selection during long-term evolution. Spatio-temporal expression patterns and qRT-PCR showed that GhELF4 genes were mainly related to flower, leaf, and fiber development. Cis-acting elements analysis and qRT-PCR showed that GhELF4 genes might be involved in the regulation of abscisic acid (ABA) or light pathways. Silencing of GhELF4-1 and GhEFL3-6 significantly affected the height of cotton seedlings and reduced the resistance of cotton. The identification and functional analysis of ELF4 genes in upland cotton provide more candidate genes for genetic modification.
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Affiliation(s)
- Miaomiao Tian
- Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, Ürümqi, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Aimin Wu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Meng Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Jingjing Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xu Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Liang Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Jianhua Lu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xiaokang Fu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Hantao Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Shuxun Yu
- Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, Ürümqi, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
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Huang YF, Zhang Y, Fu X. Long non-coding RNA DANCR promoted non-small cell lung cancer cells metastasis via modulating of miR-1225-3p/ErbB2 signal. Eur Rev Med Pharmacol Sci 2021; 25:758-769. [PMID: 33577030 DOI: 10.26355/eurrev_202101_24637] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Currently, we aimed to illustrate the role of lncRNA differentiation antagonizing non-protein coding RNA (DANCR) and erb-b2 receptor tyrosine kinase 2 (ErbB2) in non-small cell lung cancer (NSCLC). PATIENTS AND METHODS Expression of DANCR, microRNA-1225-3p (miR-1225-3p) and ErbB2 mRNA was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) assays. The clinical value of DANCR was checked by a ROC curve analysis, a Kaplan-Meier analysis and a Pearson Chi-Square test. Transwell chamber assays were performed to determine the migration and invasion ability changes of SPCA1 and A549 cells. The protein expression of ErbB2 was tested by Western blot assays. The targeted binding effect between miR-1225-3p and DANCR or ErbB2 was confirmed by a Dual-Luciferase reporter assay and an RNA pull-down assay, respectively. RESULTS In the current study, it was found that DANCR was upregulated and correlated with poor prognosis in patients with NSCLC. DANCR promoted NSCLC cells migration and invasion via upregulation of ErbB2. DANCR regulated ErbB2 at posttranscriptional level. Mechanically, it was illustrated that miR-1225-3p negatively regulated ErbbB2 and it-mediated migration and invasion via directly targeting in NSCLC cells. Meanwhile, it was showed that DANCR interacted with miR-1225-3p in a reciprocal suppression manner. Even further, through a RIP assay and a luciferase assay, we showed that DANCR interacted with miR-1225-3p through a microRNA response element (MRE-1225-3p) via directly binding. Finally, it was demonstrated that DANCR served as a miR-1225-3p sponge to promote ErbB2 expression and to facilitate ErbB2-mediated migration and invasion in NSCLC cells. CONCLUSIONS In the current study, it was illustrated that DNACR promoted ErbB2-mediated migration and invasion via working as a ceRNA of miR-1225-3p in NSCLC cells.
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Affiliation(s)
- Y-F Huang
- Department of Thoracic Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
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Feng Z, Li M, Li Y, Yang X, Wei H, Fu X, Ma L, Lu J, Wang H, Yu S. Comprehensive identification and expression analysis of B-Box genes in cotton. BMC Genomics 2021; 22:439. [PMID: 34118883 PMCID: PMC8196430 DOI: 10.1186/s12864-021-07770-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/03/2021] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND B-BOX (BBX) proteins are zinc-finger transcription factors with one or two BBX domains and sometimes a CCT domain. These proteins play an essential role in regulating plant growth and development, as well as in resisting abiotic stress. So far, the BBX gene family has been widely studied in other crops. However, no one has systematically studied the BBX gene in cotton. RESULTS In the present study, 17, 18, 37 and 33 BBX genes were detected in Gossypium arboreum, G. raimondii, G. hirsutum and G. barbadense, respectively, via genome-wide identification. Phylogenetic analysis showed that all BBX genes were divided into 5 main categories. The protein motifs and exon/intron structures showed that each group of BBX genes was highly conserved. Collinearity analysis revealed that the amplification of BBX gene family in Gossypium spp. was mainly through segmental replication. Nonsynonymous (Ka)/ synonymous (Ks) substitution ratios indicated that the BBX gene family had undergone purification selection throughout the long-term natural selection process. Moreover, transcriptomic data showed that some GhBBX genes were highly expressed in floral organs. The qRT-PCR results showed that there were significant differences in GhBBX genes in leaves and shoot apexes between early-maturing materials and late-maturing materials at most periods. Yeast two-hybrid results showed that GhBBX5/GhBBX23 and GhBBX8/GhBBX26 might interact with GhFT. Transcriptome data analysis and qRT-PCR verification showed that different GhBBX genes had different biological functions in abiotic stress and phytohormone response. CONCLUSIONS Our comprehensive analysis of BBX in G. hirsutum provided a basis for further study on the molecular role of GhBBXs in regulating flowering and cotton resistance to abiotic stress.
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Affiliation(s)
- Zhen Feng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
| | - Mengyu Li
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
| | - Yi Li
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
| | - Xu Yang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
| | - Xiaokang Fu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
| | - Liang Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
| | - Jianhua Lu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
| | - Hantao Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
| | - Shuxun Yu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000 China
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Zhang H, Fu H, Fu X, Zhang J, Zhang P, Yang S, Zeng Z, Fu N, Guo Z. Glycosylated hemoglobin levels and the risk for contrast-induced nephropathy in diabetic patients undergoing coronary arteriography/percutaneous coronary intervention. BMC Nephrol 2021; 22:206. [PMID: 34078303 PMCID: PMC8173735 DOI: 10.1186/s12882-021-02405-y] [Citation(s) in RCA: 6] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 05/16/2021] [Indexed: 12/18/2022] Open
Abstract
Backgrounds Diabetes mellitus is an independent risk factor for Contrast-induced nephropathy (CIN) in patients undergoing Coronary arteriography (CAG)/percutaneous coronary intervention (PCI). Glycosylated hemoglobin (HbA1c) is the gold standard to measure blood glucose control, which has important clinical significance for evaluating blood glucose control in diabetic patients in the past 3 months. This study aimed to assess whether preoperative HbA1c levels in diabetic patients who received CAG/PCI impacted the occurrence of postoperative CIN. Methods We reviewed the incidence of preoperative HbA1c and postoperative CIN in 670 patients with CAG/PCI from January 1, 2020 to October 30, 2020 and divided the preoperative HbA1c levels into 5 groups. Blood samples were collected at admission, 48 h and 72 h after operation to measure the Scr value of patients. Categorical variables were compared using a chi-square test, and continuous variables were compared using an analysis of variance. Fisher’s exact test was used to compare the percentages when the expected frequency was less than 5. Univariable and multivariable logistic regression analysis was used to exclude the influence of confounding factors, and P for trend was used to analyze the trend between HbA1c levels and the increased risk of CIN. Results Patients with elevated HbA1c had higher BMI, FBG, and LDL-C, and they were more often on therapy with hypoglycemic agents, Insulin and PCI. They also had higher basal, 48 h and 72 h Scr. The incidence of CIN in the 5 groups of patients were: 9.8, 11.9, 15.2, 25.3, 48.1%. (p < 0.0001) The multivariate analysis confirmed that in the main high-risk subgroup, patients with elevated HbA1C levels (≥8.8%) had a higher risk of CIN disease. Trend test showed the change of OR (1.000,1.248,1.553,2.625,5.829). Conclusions Studies have shown that in diabetic patients undergoing CAG/PCI, elevated HbA1c is independently associated with the risk of CIN, and when HbA1c > 9.5%, the incidence of CIN trends increase. Therefore, we should attach great importance to patients with elevated HbA1c at admission and take more active measures to prevent CIN.
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Affiliation(s)
- H Zhang
- Clinical College of Chest,Tianjin Medical University, Tianjin, China.,Department of Cardiology, Tianjin Chest Hospital, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300222, China
| | - H Fu
- Tianjin Medical University, Tianjin, China
| | - X Fu
- Tianjin Medical University, Tianjin, China
| | - J Zhang
- Department of Cardiology, Tianjin Chest Hospital, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300222, China
| | - P Zhang
- Department of Cardiology, Tianjin Chest Hospital, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300222, China
| | - S Yang
- Department of Cardiology, Tianjin Chest Hospital, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300222, China
| | - Z Zeng
- Tianjin Medical University, Tianjin, China
| | - N Fu
- Department of Cardiology, Tianjin Chest Hospital, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300222, China.
| | - Z Guo
- Department of Cardiology, Tianjin Chest Hospital, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300222, China.
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Xu C, Tao Y, Fu X, Guo L, Xing H, Li C, Yang Z, Su H, Wang X, Hu J, Fan D, Chiang VL, Luo K. The microRNA476a-RFL module regulates adventitious root formation through a mitochondria-dependent pathway in Populus. New Phytol 2021; 230:2011-2028. [PMID: 33533479 DOI: 10.1111/nph.17252] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 01/19/2021] [Indexed: 05/25/2023]
Abstract
For woody plants, clonal propagation efficiency is largely determined by adventitious root (AR) formation at the bases of stem cuttings. However, our understanding of the molecular mechanisms contributing to AR morphogenesis in trees remains limited, despite the importance of vegetative propagation, currently the most common practice for tree breeding and commercialization. Here, we identified Populus-specific miR476a as a regulator of wound-induced adventitious rooting that acts by orchestrating mitochondrial homeostasis. MiR476a exhibited inducible expression during AR formation and directly targeted several Restorer of Fertility like (RFL) genes encoding mitochondrion-localized pentatricopeptide repeat proteins. Genetic modification of miR476a-RFL expression revealed that miR476a/RFL-mediated dynamic regulation of mitochondrial homeostasis influences AR formation in poplar. Mitochondrial perturbation via exogenous application of a chemical inhibitor indicated that miR476a/RFL-directed AR formation depends on mitochondrial regulation that acts via auxin signaling. Our results thus establish a microRNA-directed mitochondrion-auxin signaling cascade required for AR development, providing insights into the role of mitochondrial regulation in the developmental plasticity of plants.
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Affiliation(s)
- Changzheng Xu
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
- Key Laboratory of Eco-environments of Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Yuanxun Tao
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Xiaokang Fu
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Li Guo
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Haitao Xing
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
- College of Landscape Architecture and Life Science/Institute of Special Plants, Chongqing University of Arts and Sciences, Yongchuan, Chongqing, 402160, China
| | - Chaofeng Li
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Ziwei Yang
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Huili Su
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Xianqiang Wang
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Jian Hu
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Di Fan
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Vincent L Chiang
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, 150040, China
| | - Keming Luo
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, School of Life Sciences, Southwest University, Chongqing, 400715, China
- Key Laboratory of Eco-environments of Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Southwest University, Chongqing, 400715, China
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Feng X, Gao Y, Li L, Li X, Sun Z, Wu J, Wang X, Fu X, Zhang L, Zhang M. RISK MODEL FOR CENTRAL NERVOUS SYSTEM DISEASE IN T‐LYMPHOBLASTIC LYMPHOMA: A SINGLE‐CENTER EXPERIENCE. Hematol Oncol 2021. [DOI: 10.1002/hon.74_2881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- X. Feng
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Y. Gao
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - L. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Z. Sun
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - J. Wu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Wang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Fu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - L. Zhang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - M. Zhang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
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Wu J, Gao F, Zhang L, Li X, Li L, Sun Z, Wang X, Fu X, Zhang X, Zhang M. FOTEMUSTINE‐BASED THERAPY IN COMBINATION WITH RITUXIMAB AS FIRST‐LINE INDUCTION CHEMOTHERAPY FOLLOWED BY WBRT FOR NEWLY DIAGNOSED PCNSL: A PROSPECTIVE PHASE II TRIAL. Hematol Oncol 2021. [DOI: 10.1002/hon.36_2881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- J Wu
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - F Gao
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - L Zhang
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - X Li
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - L Li
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - Z Sun
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - X Wang
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - X Fu
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - X Zhang
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
| | - M Zhang
- The first affiliated Hospital of Zhengzhou University, Oncology Department Zhengzhou China
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49
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Zhang L, Sun Z, Fu X, Wan W, Ge J, Xia Y, Xu D, Nan F, Yu H, Zhang M, Li L, Li X, Li Z, Wang X, Chang Y, Yan J, Wu X, Zhou Z. THE SURVIVAL OF 2852 PATIENTS WITH LYMPHOMA: A SINGLE CENTER STUDY FROM CHINA. Hematol Oncol 2021. [DOI: 10.1002/hon.109_2881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- L. Zhang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Z. Sun
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Fu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - W. Wan
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - J. Ge
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Y. Xia
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - D. Xu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - F. Nan
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - H. Yu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - M. Zhang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - L. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Z. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Wang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Y. Chang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - J. Yan
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Wu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Z. Zhou
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
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50
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Zhang M, Zhang M, Fu X, Meng H, Chen D, Wang M, Zhang L, Li L, Li X, Wang X, Sun Z, Yu H, Li Z, Nan F, Chang Y, Zhou Z, Yan J, Li J, Wang Y, You F, Wang Y, Xiang S, Chen Y, Pan G, Xu H, Zhang B, Yang L. A SINGLE‐ARM, OPEN‐LABEL, PILOT TRIAL OF AUTOLOGOUS CD7‐CAR‐T CELLS FOR CD7 POSITIVE RELAPSED AND REFRACTORY T‐LYMPHOBLASTIC LEUKEMIA/LYMPHOMA. Hematol Oncol 2021. [DOI: 10.1002/hon.181_2880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- M. Zhang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - M. Zhang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Fu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - H. Meng
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
| | - D. Chen
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
| | - M. Wang
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
| | - L. Zhang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - L. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - X. Wang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Z. Sun
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - H. Yu
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Z. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - F. Nan
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Y. Chang
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Z. Zhou
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - J. Yan
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - J. Li
- The First Affiliated Hospital of Zhengzhou University Department of Oncology Zhengzhou China
| | - Y. Wang
- PersonGen‐Anke Cellular Therapeutics Co., Ltd PersonGen‐Anke Cellular Therapeutics Co., Ltd Suzhou China
| | - F. You
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
| | - Y. Wang
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
| | - S. Xiang
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
| | - Y. Chen
- PersonGen‐Anke Cellular Therapeutics Co., Ltd PersonGen‐Anke Cellular Therapeutics Co., Ltd Suzhou China
| | - G. Pan
- PersonGen‐Anke Cellular Therapeutics Co., Ltd PersonGen‐Anke Cellular Therapeutics Co., Ltd Suzhou China
| | - H. Xu
- PersonGen‐Anke Cellular Therapeutics Co., Ltd PersonGen‐Anke Cellular Therapeutics Co., Ltd Suzhou China
| | - B. Zhang
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
| | - L. Yang
- PersonGen BioTherapeutics (Suzhou) Co., Ltd. PersonGen BioTherapeutics (Suzhou) Co., Ltd. Suzhou China
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