1
|
Shao L, Yang X, Sun Z, Tan X, Lu Z, Hu S, Dou W, Duan S. Three-dimensional pseudo-continuous arterial spin-labelled perfusion imaging for diagnosing upper cervical lymph node metastasis in patients with nasopharyngeal carcinoma: a whole-node histogram analysis. Clin Radiol 2024; 79:e736-e743. [PMID: 38341343 DOI: 10.1016/j.crad.2024.01.017] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 02/12/2024]
Abstract
AIM To evaluate whole-node histogram parameters of blood flow (BF) maps derived from three-dimensional pseudo-continuous arterial spin-labelled (3D pCASL) imaging in discriminating metastatic from benign upper cervical lymph nodes (UCLNs) for nasopharyngeal carcinoma (NPC) patients. MATERIALS AND METHODS Eighty NPC patients with a total of 170 histologically confirmed UCLNs (67 benign and 103 metastatic) were included retrospectively. Pre-treatment 3D pCASL imaging was performed and whole-node histogram analysis was then applied. Histogram parameters and morphological features, such as minimum axis diameter (MinAD), maximum axis diameter (MaxAD), and location of UCLNs, were assessed and compared between benign and metastatic lesions. Predictors were identified and further applied to establish a combined model by multivariate logistic regression in predicting the probability of metastatic UCLNs. Receiver operating characteristic (ROC) curves were used to analyse the diagnostic performance. RESULTS Metastatic UCLNs had larger MinAD and MinAD/MaxAD ratio, greater energy and entropy values, and higher incidence of level II (upper jugular group), but lower BF10th value than benign nodes (all p<0.05). MinAD, BF10th, energy, and entropy were validated as independent predictors in diagnosing metastatic UCLNs. The combined model yielded an area under the curve (AUC) of 0.932, accuracy of 84.42 %, sensitivity of 80.6 %, and specificity of 90.29 %. CONCLUSIONS Whole-node histogram analysis on BF maps is a feasible tool to differentiate metastatic from benign UCLNs in NPC patients, and the combined model can further improve the diagnostic efficacy.
Collapse
Affiliation(s)
- L Shao
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - X Yang
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - Z Sun
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China.
| | - X Tan
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - Z Lu
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - S Hu
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - W Dou
- General Electric (GE) Healthcare, MR Research China, Beijing, China
| | - S Duan
- General Electric (GE) Healthcare China, Shanghai, China
| |
Collapse
|
2
|
Jin M, Wang H, Liu G, Lu J, Yuan Z, Li T, Liu E, Lu Z, Du L, Wei C. Whole-genome resequencing of Chinese indigenous sheep provides insight into the genetic basis underlying climate adaptation. Genet Sel Evol 2024; 56:26. [PMID: 38565986 PMCID: PMC10988870 DOI: 10.1186/s12711-024-00880-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 01/31/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Chinese indigenous sheep are valuable resources with unique features and characteristics. They are distributed across regions with different climates in mainland China; however, few reports have analyzed the environmental adaptability of sheep based on their genome. We examined the variants and signatures of selection involved in adaptation to extreme humidity, altitude, and temperature conditions in 173 sheep genomes from 41 phenotypically and geographically representative Chinese indigenous sheep breeds to characterize the genetic basis underlying environmental adaptation in these populations. RESULTS Based on the analysis of population structure, we inferred that Chinese indigenous sheep are divided into four groups: Kazakh (KAZ), Mongolian (MON), Tibetan (TIB), and Yunnan (YUN). We also detected a set of candidate genes that are relevant to adaptation to extreme environmental conditions, such as drought-prone regions (TBXT, TG, and HOXA1), high-altitude regions (DYSF, EPAS1, JAZF1, PDGFD, and NF1) and warm-temperature regions (TSHR, ABCD4, and TEX11). Among all these candidate genes, eight ABCD4, CNTN4, DOCK10, LOC105608545, LOC121816479, SEM3A, SVIL, and TSHR overlap between extreme environmental conditions. The TSHR gene shows a strong signature for positive selection in the warm-temperature group and harbors a single nucleotide polymorphism (SNP) missense mutation located between positions 90,600,001 and 90,650,001 on chromosome 7, which leads to a change in the protein structure of TSHR and influences its stability. CONCLUSIONS Analysis of the signatures of selection uncovered genes that are likely related to environmental adaptation and a SNP missense mutation in the TSHR gene that affects the protein structure and stability. It also provides information on the evolution of the phylogeographic structure of Chinese indigenous sheep populations. These results provide important genetic resources for future breeding studies and new perspectives on how animals can adapt to climate change.
Collapse
Affiliation(s)
- Meilin Jin
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huihua Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Gang Liu
- National Animal Husbandry Service, National Center of Preservation and Utilization of Animal Genetic Resources, Beijing, China
| | - Jian Lu
- National Animal Husbandry Service, National Center of Preservation and Utilization of Animal Genetic Resources, Beijing, China
| | - Zehu Yuan
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Taotao Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Engming Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lan-Zhou, China
| | - Lixin Du
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Caihong Wei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| |
Collapse
|
3
|
Zhang D, Yue Y, Yuan C, An X, Guo T, Chen B, Liu J, Lu Z. DIA-Based Proteomic Analysis Reveals MYOZ2 as a Key Protein Affecting Muscle Growth and Development in Hybrid Sheep. Int J Mol Sci 2024; 25:2975. [PMID: 38474221 DOI: 10.3390/ijms25052975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/12/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Hybridization of livestock can be used to improve varieties, and different hybrid combinations produce unique breeding effects. In this study, male Southdown and Suffolk sheep were selected to hybridize with female Hu sheep to explore the effects of male parentage on muscle growth and the development of offspring. Using data-independent acquisition technology, we identified 119, 187, and 26 differentially abundant proteins (DAPs) between Hu × Hu (HH) versus Southdown × Hu (NH), HH versus Suffolk × Hu (SH), and NH versus SH crosses. Two DAPs, MYOZ2 and MYOM3, were common to the three hybrid groups and were mainly enriched in muscle growth and development-related pathways. At the myoblast proliferation stage, MYOZ2 expression decreased cell viability and inhibited proliferation. At the myoblast differentiation stage, MYOZ2 expression promoted myoblast fusion and enhanced the level of cell fusion. These findings provide new insights into the key proteins and metabolic pathways involved in the effect of male parentage on muscle growth and the development of hybrid offspring in sheep.
Collapse
Affiliation(s)
- Dan Zhang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Xuejiao An
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Bowen Chen
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| |
Collapse
|
4
|
Xiao T, Li Y, Yue L, Lu Z, Yuan C, Song Y, Yang B, Liu J, Guo T. Correlation of 20 Single-Nucleotide Polymorphisms with Weight and Wool Traits in Alpine Merino Sheep. Animals (Basel) 2023; 14:127. [PMID: 38200858 PMCID: PMC10778225 DOI: 10.3390/ani14010127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/22/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024] Open
Abstract
SNPs associated with important traits of fine-wool sheep that were previously obtained through genome-wide association analysis screening were verified and analyzed. A total of 20 SNPs related to birth weight, bundle strength, cleaning rate, and fiber diameter were screened using whole-genome resequencing, and the SNPshot assay was used to detect and analyze polymorphisms. This study found that, among the 20 SNPs associated with important traits in Alpine Merino sheep, 8 were monomorphic and 12 were polymorphic, of which 6 showed moderate polymorphisms and 6 showed low polymorphisms. The heterozygosity of the 12 polymorphic loci ranged from 0.10 to 0.49, the effective number of alleles ranged from 1.11 to 1.98, and the polymorphic information content ranged from 0.09 to 0.37. The chi-square test showed that only RHPN2:g.42678119T>G and RALYL:g.90030866A>G were in Hardy-Weinberg disequilibrium (p < 0.05); the other loci were in equilibrium (p > 0.05). These SNPs associated with important traits in Alpine Merino sheep provide a theoretical basis for genomic selection and molecular design breeding.
Collapse
Affiliation(s)
- Tong Xiao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
| | - Yuhang Li
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China;
| | - Lin Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
- Sheep Breeding Engineering Technology Research Center, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
- Sheep Breeding Engineering Technology Research Center, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Yali Song
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
- Sheep Breeding Engineering Technology Research Center, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
- Sheep Breeding Engineering Technology Research Center, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (T.X.); (Z.L.); (C.Y.); (Y.S.); (B.Y.)
- Sheep Breeding Engineering Technology Research Center, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| |
Collapse
|
5
|
Liu S, Sharp A, Lu Z, Ma ZF. Maternal iodine intake and adherence to iodine supplement recommendations in a group of Chinese women: the results from the WIN cohort study - CORRIGENDUM. Proc Nutr Soc 2023; 82:492. [PMID: 37078399 DOI: 10.1017/s0029665123002768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Affiliation(s)
- S Liu
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
- Harris-Wellbeing Research Centre, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - A Sharp
- Harris-Wellbeing Research Centre, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - Z Lu
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Z F Ma
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
- Centre for Public Health and Wellbeing, School of Health and Social Wellbeing, College of Health, Science and Society, University of the West of England, Bristol, UK
| |
Collapse
|
6
|
Yue L, Lu Z, Guo T, Liu J, Yuan C, Yang B. Association of SLIT3 and ZNF280B Gene Polymorphisms with Wool Fiber Diameter. Animals (Basel) 2023; 13:3552. [PMID: 38003169 PMCID: PMC10668676 DOI: 10.3390/ani13223552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/06/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
The SLIT3 gene encodes a secreted protein, and the ZNF280B gene is a member of the transcription factor family. Both genes have multiple biological functions. This study was conducted to investigate the association between SLIT3 and ZNF280B gene polymorphisms and wool fiber diameter and to determine potential molecular marker sites for breeding sheep with fine wool. We used Kompetitive Allele-Specific PCR to type the single nucleotide polymorphism (SNP) loci in the SLIT3 and ZNF280B genes within 1081 Alpine Merino sheep and associated these SNPs with wool fiber diameter. The results revealed one SNP in SLIT3 and ZNF280B, which were each related to sheep fiber diameter. The wool fiber diameters of sheep with the CC genotype in SLIT3 g.478807C>G and AA genotype in ZNF280B g.677G>A were the smallest and differed significantly from the diameters of other genotypes (p < 0.05). These results suggest potential molecular marker sites for fine-wool sheep breeding.
Collapse
Affiliation(s)
- Lin Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (L.Y.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (L.Y.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (L.Y.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (L.Y.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (L.Y.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (L.Y.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| |
Collapse
|
7
|
Yan S, Tu CY, Du CY, Luo J, Liu JF, Liu TQ, Liu Q, Liu J, Li XH, Wang LC, Fang ZP, Yi WM, Chen YJ, Li QL, Ni Y, Wu JC, Qin CJ, Gu YL, Lu Z, Lun ZJ, Du LX, Chen G, Zheng QC, Sun KJ, Han WQ, Yu J. [Effect of recombinant human thrombin for hemostasis in liver resection: a randomized controlled phase Ⅲ clinical trial]. Zhonghua Yi Xue Za Zhi 2023; 103:3416-3423. [PMID: 37963740 DOI: 10.3760/cma.j.cn112137-20230911-00438] [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: 11/16/2023]
Abstract
Objective: To evaluate the hemostatic efficacy, safety and immunogenicity of recombinant human thrombin in the treatment of liver wounds that still ooze after conventional surgical hemostasis. Methods: A multicenter, stratified randomized, double-blind, placebo-controlled phase Ⅲ trial with a planned enrollment of 510 subjects at 33 centers, with a 2∶1 randomization to the thrombin group versus the placebo group. An interim analysis will be conducted after approximately 70% of the subjects have completed the observation period. The primary efficacy endpoint was the rate of hemostasis within 6 minutes at the point of bleeding that could be evaluated. Safety analysis was performed one month after surgery, and the positive rates of anti-drug antibody (ADA) and neutralizing antibody were evaluated. Results: At the interim analysis, a total of 348 subjects had been randomized and received the study drug (215 were male and 133 were female). They were aged 19-69 (52.9±10.9)years. Among them, 232 were in the thrombin group and 116 were in the placebo group, with balanced and comparable demographics and baseline characteristics between the two groups. The hemostasis rate at 6 minutes was 71.6% (95%CI:65.75%-77.36%) in the thrombin group and 44.0% (95%CI: 34.93%-53.00%) in the placebo group, respectively (P<0.001). No grade≥3 drug-related adverse events and no drug-related deaths were reported from the study.No recombinant human thrombin-induced immunologically-enhanced ADA or immunologically-induced ADA was detected after topical use in subjects. Conclusion: Recombinant human thrombin has shown significant hemostatic efficacy and good safety in controlling bleeding during liver resection surgery, while also demonstrating low immunogenicity characteristics.
Collapse
Affiliation(s)
- S Yan
- Department of Hepatobiliary and Pancreatic Surgery, the Second Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - C Y Tu
- Department of General Surgery, Lishui Central Hospital, Lishui 323020, China
| | - C Y Du
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - J Luo
- Department of Hepatobiliary and Intestinal Surgery, Hunan Cancer Hospital, Changsha 410031, China
| | - J F Liu
- Department of Hepatobiliary and Pancreatic Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - T Q Liu
- Department of General Surgery, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - Q Liu
- Department of Hepatobiliary Surgery, Liuzhou People's Hospital, Liuzhou 545006, China
| | - J Liu
- Department of Hepatobiliary Surgery, Guizhou Provicial People's Hospital, Guiyang 550002, China
| | - X H Li
- Department of Hepatobiliary Surgery, Liaocheng People's Hospital, Liaocheng 252000, China
| | - L C Wang
- Department of General Surgery, the Third People's Hospital of Hainan Province, Sanya 572000, China
| | - Z P Fang
- Department of Hepatobiliary Surgery, Taizhou Hospital of Zhejiang Province, Linhai 317099, China
| | - W M Yi
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, Changsha 410005, China
| | - Y J Chen
- Department of Hepatobiliary Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Q L Li
- Department of Hepatobiliary and Pancreatic Surgery, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Y Ni
- Department of Hepatobiliary and Pancreatic Surgery, Shenzhen Second People's Hospital, Shenzhen 518035, China
| | - J C Wu
- Department of Hepatobiliary Surgery, Hainan Provincial People's Hospital, Haikou 570311, China
| | - C J Qin
- Department of General Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, China
| | - Y L Gu
- Department of Hepatobiliary Surgery, Affiliated Hospital of Jiangnan Univeisity, Wuxi 214122, China
| | - Z Lu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Z J Lun
- Department of Hepatobiliary Vascular Surgery, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - L X Du
- Department of Hepatobiliary Surgery, Shanxi Provincial People's Hospital, Xi'an 710068, China
| | - G Chen
- Department of Hepatobiliary and Pancreatic Surgery, the First People's Hospital of Kunming, Kunming 650034, China
| | - Q C Zheng
- Department of Hepatobiliary Surgery, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430022, China
| | - K J Sun
- Department of Hepatobiliary Surgery, Zibo Central Hospital, Zibo 255036, China
| | - W Q Han
- Department of Urinary Surgery, Hunan Cancer Hospital, Changsha 410031, China
| | - J Yu
- Department of Hepatobiliary and Pancreatic Surgery, the First Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| |
Collapse
|
8
|
Kong L, Yue Y, Li J, Yang B, Chen B, Liu J, Lu Z. Transcriptomics and metabolomics reveal improved performance of Hu sheep on hybridization with Southdown sheep. Food Res Int 2023; 173:113240. [PMID: 37803553 DOI: 10.1016/j.foodres.2023.113240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 10/08/2023]
Abstract
Consumers are increasingly demanding high-quality mutton. Cross breeding can improve meat quality and is widely used in sheep breeding. However, little is known about the molecular mechanism of cross breeding sheep meat quality. In this study, male Southdown and female Hu sheep were hybridized. The slaughter performance and longissimus dorsi quality of the 6-month-old hybrid offspring were measured, and the longissimus dorsi of the hybrid offspring was analyzed by transcriptomics and metabolomics to explore the effect of cross breeding on meat quality. The results showed that the production performance of Southdown × Hu F1 sheep was significantly improved, the carcass fat content was significantly decreased, and the eating quality of Southdown × Hu F1 sheep were better. Compared with the HS group (Hu × Hu), the NH group (Southdown × Hu) had 538 differentially expressed genes and 166 differentially expressed metabolites (P < 0.05), which were significantly enriched in amino acid metabolism and other related pathways. Up-regulated genes METTL21C, PPARGC1A and down-regulated gene WFIKKN2 are related to muscle growth and development. Among them, the METTL21C gene, which is related to muscle development, was highly correlated with carnosine, a metabolite related to meat quality (correlation > 0.6 and P < 0.05). Our results provide further understanding of the molecular mechanism of cross breeding for sheep muscle growth and meat quality optimization.
Collapse
Affiliation(s)
- Lingying Kong
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianye Li
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Bohui Yang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Bowen Chen
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
| |
Collapse
|
9
|
Aguillard DP, Albahri T, Allspach D, Anisenkov A, Badgley K, Baeßler S, Bailey I, Bailey L, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Bedeschi F, Berz M, Bhattacharya M, Binney HP, Bloom P, Bono J, Bottalico E, Bowcock T, Braun S, Bressler M, Cantatore G, Carey RM, Casey BCK, Cauz D, Chakraborty R, Chapelain A, Chappa S, Charity S, Chen C, Cheng M, Chislett R, Chu Z, Chupp TE, Claessens C, Convery ME, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, Debevec PT, Di Falco S, Di Sciascio G, Drendel B, Driutti A, Duginov VN, Eads M, Edmonds A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Froemming NS, Gabbanini C, Gaines I, Galati MD, Ganguly S, Garcia A, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Goodenough L, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Halewood-Leagas T, Hampai D, Han F, Hempstead J, Hertzog DW, Hesketh G, Hess E, Hibbert A, Hodge Z, Hong KW, Hong R, Hu T, Hu Y, Iacovacci M, Incagli M, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler DS, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kinnaird N, Kraegeloh E, Krylov VA, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lu Z, Lucà A, Lukicov G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Mastroianni S, Miller JP, Miozzi S, Mitra B, Morgan JP, Morse WM, Mott J, Nath A, Ng JK, Nguyen H, Oksuzian Y, Omarov Z, Osofsky R, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Price J, Quinn B, Qureshi MUH, Ramachandran S, Ramberg E, Reimann R, Roberts BL, Rubin DL, Santi L, Schlesier C, Schreckenberger A, Semertzidis YK, Shemyakin D, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Weisskopf A, Welty-Rieger L, Winter P, Wu Y, Yu B, Yucel M, Zeng Y, Zhang C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm. Phys Rev Lett 2023; 131:161802. [PMID: 37925710 DOI: 10.1103/physrevlett.131.161802] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/05/2023] [Indexed: 11/07/2023]
Abstract
We present a new measurement of the positive muon magnetic anomaly, a_{μ}≡(g_{μ}-2)/2, from the Fermilab Muon g-2 Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon decay than in our previous result from 2018 data. The systematic error is reduced by more than a factor of 2 due to better running conditions, a more stable beam, and improved knowledge of the magnetic field weighted by the muon distribution, ω[over ˜]_{p}^{'}, and of the anomalous precession frequency corrected for beam dynamics effects, ω_{a}. From the ratio ω_{a}/ω[over ˜]_{p}^{'}, together with precisely determined external parameters, we determine a_{μ}=116 592 057(25)×10^{-11} (0.21 ppm). Combining this result with our previous result from the 2018 data, we obtain a_{μ}(FNAL)=116 592 055(24)×10^{-11} (0.20 ppm). The new experimental world average is a_{μ}(exp)=116 592 059(22)×10^{-11} (0.19 ppm), which represents a factor of 2 improvement in precision.
Collapse
Affiliation(s)
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - L Bailey
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H P Binney
- University of Washington, Seattle, Washington, USA
| | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- University of Liverpool, Liverpool, United Kingdom
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - S Braun
- University of Washington, Seattle, Washington, USA
| | - M Bressler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- Università di Udine, Udine, Italy
| | | | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- University of Liverpool, Liverpool, United Kingdom
| | - C Chen
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - M Cheng
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - C Claessens
- University of Washington, Seattle, Washington, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | | | - J D Crnkovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | | | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Edmonds
- Boston University, Boston, Massachusetts, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | | | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | | | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | | | - I Gaines
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | | | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - L Goodenough
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Argonne National Laboratory, Lemont, Illinois, USA
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - E Hess
- INFN, Sezione di Pisa, Pisa, Italy
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - T Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Y Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D S Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- University of Mississippi, University, Mississippi, USA
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - Z Lu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - B Mitra
- University of Mississippi, University, Mississippi, USA
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Nath
- INFN, Sezione di Napoli, Naples, Italy
| | - J K Ng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Oksuzian
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Z Omarov
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | | | - R N Pilato
- University of Liverpool, Liverpool, United Kingdom
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - M U H Qureshi
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Reimann
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- Università di Udine, Udine, Italy
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Cornell University, Ithaca, New York, USA
- Michigan State University, East Lansing, Michigan, USA
- University of Liverpool, Liverpool, United Kingdom
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | - A E Tewsley-Booth
- University of Kentucky, Lexington, Kentucky, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Michigan State University, East Lansing, Michigan, USA
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
- University of Liverpool, Liverpool, United Kingdom
| | - G Venanzoni
- University of Liverpool, Liverpool, United Kingdom
| | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Y Wu
- Argonne National Laboratory, Lemont, Illinois, USA
| | - B Yu
- University of Mississippi, University, Mississippi, USA
| | - M Yucel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Zeng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - C Zhang
- University of Liverpool, Liverpool, United Kingdom
| |
Collapse
|
10
|
Zhang W, Jin M, Lu Z, Li T, Wang H, Yuan Z, Wei C. Whole Genome Resequencing Reveals Selection Signals Related to Wool Color in Sheep. Animals (Basel) 2023; 13:3265. [PMID: 37893989 PMCID: PMC10603731 DOI: 10.3390/ani13203265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 10/10/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
Wool color is controlled by a variety of genes. Although the gene regulation of some wool colors has been studied in relative depth, there may still be unknown genetic variants and control genes for some colors or different breeds of wool that need to be identified and recognized by whole genome resequencing. Therefore, we used whole genome resequencing data to compare and analyze sheep populations of different breeds by population differentiation index and nucleotide diversity ratios (Fst and θπ ratio) as well as extended haplotype purity between populations (XP-EHH) to reveal selection signals related to wool coloration in sheep. Screening in the non-white wool color group (G1 vs. G2) yielded 365 candidate genes, among which PDE4B, GMDS, GATA1, RCOR1, MAPK4, SLC36A1, and PPP3CA were associated with the formation of non-white wool; an enrichment analysis of the candidate genes yielded 21 significant GO terms and 49 significant KEGG pathways (p < 0.05), among which 17 GO terms and 21 KEGG pathways were associated with the formation of non-white wool. Screening in the white wool color group (G2 vs. G1) yielded 214 candidate genes, including ABCD4, VSX2, ITCH, NNT, POLA1, IGF1R, HOXA10, and DAO, which were associated with the formation of white wool; an enrichment analysis of the candidate genes revealed 9 significant GO-enriched pathways and 19 significant KEGG pathways (p < 0.05), including 5 GO terms and 12 KEGG pathways associated with the formation of white wool. In addition to furthering our understanding of wool color genetics, this research is important for breeding purposes.
Collapse
Affiliation(s)
- Wentao Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Meilin Jin
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
| | - Taotao Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Huihua Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zehu Yuan
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China;
| | - Caihong Wei
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| |
Collapse
|
11
|
Chen B, Yue Y, Li J, Yuan C, Guo T, Zhang D, Liu J, Yang B, Lu Z. Global DNA Methylation, miRNA, and mRNA Profiles in Sheep Skeletal Muscle Promoted by Hybridization. J Agric Food Chem 2023; 71:15398-15406. [PMID: 37815113 DOI: 10.1021/acs.jafc.3c02173] [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] [Indexed: 10/11/2023]
Abstract
With the development of high-throughput sequencing technology, several nongenetic variations, including noncoding RNAs such as miRNAs, and DNA methylation, have been found to play an important role in animal muscle development and fat metabolism. In this study, Southdown and Suffolk were selected as male parents for hybridization with Hu sheep (Southdown × Hu (NH), Suffolk × Hu (SH), and Hu × Hu (HH)). RNA sequencing, bisulfite sequencing, and small-RNA sequencing were used to study the methylation patterns and differences in miRNA and mRNA expression in the F1 sheep longissimus dorsi muscle tissue. We identified 765 differentially expressed genes (DEGs), 10,161 differentially methylated regions (DMRs), and 164 differentially expressed miRNAs, which were significantly enriched in AMPK signaling, fatty acid degradation, metabolism, and other related pathways (P < 0.05). In addition, we constructed a DNA methylation-mRNA and miRNA-mRNA coexpression network. A total of 42 common genes were identified from DMRs and DEGs. Importantly, we predicted that 33 differentially expressed miRNAs directly or indirectly targeted the SLC27A6. The data obtained in this study provide useful information and evidence to support further understanding of the miRNA and DNA methylation of key genes regulating muscle growth and fat metabolism in hybrid sheep populations.
Collapse
Affiliation(s)
- Bowen Chen
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Jianye Li
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Dan Zhang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Bohui Yang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| |
Collapse
|
12
|
Yue L, Lu Z, Guo T, Liu J, Yang B, Yuan C. Proteome Analysis of Alpine Merino Sheep Skin Reveals New Insights into the Mechanisms Involved in Regulating Wool Fiber Diameter. Int J Mol Sci 2023; 24:15227. [PMID: 37894908 PMCID: PMC10607505 DOI: 10.3390/ijms242015227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/12/2023] [Accepted: 10/14/2023] [Indexed: 10/29/2023] Open
Abstract
Wool fiber is a textile material that is highly valued based on its diameter, which is crucial in determining its economic value. To analyze the molecular mechanisms regulating wool fiber diameter, we used a Data-independent acquisition-based quantitative proteomics approach to analyze the skin proteome of Alpine Merino sheep with four fiber diameter ranges. From three contrasts of defined groups, we identified 275, 229, and 190 differentially expressed proteins (DEPs). Further analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways revealed that pathways associated with cyclic adenosine monophosphate and peroxisome proliferator-activated receptor signaling are relevant to wool fiber diameter. Using the K-means method, we investigated the DEP expression patterns across wool diameter ranges. Using weighted gene co-expression network analysis, we identified seven key proteins (CIDEA, CRYM, MLX, TPST2, GPD1, GOPC, and CAMK2G) that may be involved in regulating wool fiber diameter. Our findings provide a theoretical foundation for identifying DEPs and pathways associated with wool fiber diameter in Alpine Merino sheep to enable a better understanding of the molecular mechanisms underlying the genetic regulation of wool fiber quality.
Collapse
Affiliation(s)
- Lin Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| |
Collapse
|
13
|
Wu F, Tang X, Zhang Y, Wei L, Wang T, Lu Z, Wei J, Ma S, Jiang L, Gao T, Huang Q. The Role of Radiation Therapy for Metastatic Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e555. [PMID: 37785704 DOI: 10.1016/j.ijrobp.2023.06.1865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Survival rates for women with metastatic cervical cancer (CC) are low, with limited management options. Radiation therapy (RT) for metastatic disease has led to prolonged survival in other malignancies, however, the data are scarce in CC. Herein, we evaluated the effect of RT for metastatic CC. MATERIALS/METHODS A total of 58 patients with metastatic CC between September 2019 and January 2023 were retrospectively analyzed. All the patients were treated with platinum-based chemotherapy combined with targeted therapy or immunotherapy followed with or without RT (NRT). The recent efficacy, survival status and prognostic factors were analyzed statistically. RESULTS Objective response rate (ORR) was 63.6% with one complete and twenty partial responses in RT group (n = 33) and 40.0% with two complete and eight partial responses in NRT group (n = 25), respectively (p = 0.074). Disease control rate (DCR) of the RT and NRT groups were 79.4% vs 80.0%, respectively (p = 0.861). Median follow-up time was 17 months (3-39months). In RT group, 11(33.3%) patients experienced local regional or distant failure and 9 (27.3%) patients were dead. In NRT group, 15(60%) patients had progression and 8 (32%) patients dead. There was no significant difference between the two groups in overall survival (OS); however, RT group displayed superior progression-free survival (PFS) (1-year OS: 72.7% vs. 68.0%, p = 0.460; 1-year PFS: 66.7% vs. 40.0%, p = 0.039). The multivariate analysis showed that RT, immunotherapy, lymph node metastasis only relevant predictor of superior PFS but not OS. In subgroup analysis, patients treated with RT appeared to have a better PFS in some specific cohorts, such as age>45 years (72.0% vs 36.4% P = 0.015), squamous carcinoma histology (71.0% vs 40.9% P = 0.017), metastatic at diagnosis (75.0% vs 47.6% P = 0.012), non-targeted therapy (72.4% vs 43.8% P = 0.040). No significant increase in treatment-related toxicity was observed in the RT group compared with the NRT group. CONCLUSION RT provided superior PFS in metastatic CC patients compared to NRT, and well tolerated. Moreover, RT, immunotherapy, lymph node metastasis only were independent significant prognostic factors for PFS. Subgroup analysis showed that combination of RT and chemotherapy obtained favorable PFS in metastatic CC patients with age>45 years, squamous carcinoma histology, metastatic at diagnosis, non-targeted therapy. Studies with a larger sample size and longer follow-up are warranted.
Collapse
Affiliation(s)
- F Wu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiation Oncology, Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - Y Zhang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Wang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Z Lu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - J Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - S Ma
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Jiang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Gao
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Q Huang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| |
Collapse
|
14
|
Zhou Z, Wang Y, Zhao F, Yao G, Yu H, Yu H, Bu L, Lu Z, Yan S. Radiation Induced Lung Injury in Rats after Pre-Oxygenation Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e279-e280. [PMID: 37785046 DOI: 10.1016/j.ijrobp.2023.06.1260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Deep inspiratory breath holding (DIBH) has been widely used during the radiotherapy of thoracic tumors. The main disadvantage of voluntary DIBH is the short duration of each breath hold. The hypocapnia induced by hyperoxia (oxygen concentration > 50%) pre-oxygenation (PreO2) combined with mechanical hyperventilation has been reported to prolong the duration of single breath hold, but its safety remains controversial, especially the sensitivity of lung tissue to radiation damage under hyperoxia exposure has not been elucidated. In this study, we aim to investigate the changes of radiation induced lung injury in rats after PreO2 radiation. MATERIALS/METHODS We evaluated the lung tissue of rats at different time points (48h, 2w, 4w, 8w, 12w) after thoracic radiation (15Gy single fraction to the right lung), and sequenced the transcriptome of lung tissue at 48 hours after irradiation. Rat cohorts (n = 7/group): 1. Control (Con); 2. Radiation group (RT); 3. Pre-oxygenation (oxygen concentration > 90%) for 8 hours before thoracic radiation (PreO2). RESULTS The inflammatory exudation emerged in the pulmonary interstitium at 48 hours, and reached the most serious alveolitis after four weeks of irradiation (the comparison of alveolitis scores in RT4w vs Con4w and PreO2(4w) vs Con4w, P<0.001) on hematoxylin-eosin staining. While the alveolitis scores in RT group and PreO2 group were not statistically different at each time point. Masson staining showed that the pulmonary fibrosis in the RT group and the PreO2 group reached an obvious pathological change at 12 weeks after irradiation, but the difference between the two groups was not significant. Transcriptome sequencing showed that the number of differential genes in PreO2 vs Con was 559 (302 up-regulated genes and 257 down-regulated genes). The GO enrichment analysis indicated that chromosome segregation was the most significant functional item with P value in the comparative analysis, and the KEGG enrichment analysis suggested that cell division was the most significant enrichment pathway of these differential genes. While there was a small quantity of differential genes in PreO2 vs RT group (3 up-regulated genes and 12 down-regulated genes). Pentose and glucuronate conversions were the most significant enrichment pathway of these differential genes. CONCLUSION This study demonstrated that PreO2 radiotherapy did not increase the severity of radiation induced lung injury in rats compared to conventional radiotherapy. Further study should be conducted to confirm these results and to investigate the regulatory mechanism of pneumonia caused by PreO2 radiotherapy.
Collapse
Affiliation(s)
- Z Zhou
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Y Wang
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - F Zhao
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- The First Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - L Bu
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
15
|
Zhang Y, Ye X, Ge J, Guo D, Zheng D, Yu H, Chen Y, Yao G, Lu Z, Yuille A, Lu L, Jin D, Yan S. Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e498. [PMID: 37785566 DOI: 10.1016/j.ijrobp.2023.06.1739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The delineation of primary gross tumor volume (GTV) of nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical practice, radiation oncologists manually delineate the GTV in planning CT with the help of diagnostic MRI. This is because NPC tumors are closely adjacent to many important anatomic structures, and CT and MRI provide complementary strength to accurately determine the tumor extension boundary. Manual delineation is time-consuming with the potential registration errors between MRI and CT decreasing the delineation accuracy. In this study, we propose a fully automated GTV segmentation method based on CT and MRI by first aligning MRI to CT, and then, segmenting the GTV using a multi-modality deep learning model. MATERIALS/METHODS We collected 104 nasopharyngeal carcinoma patients with both planning CT and diagnostic MRI scans (T1 & T2 phases). An experienced radiation oncologists manually delineated the GTV, which was further examined by another senior radiation oncologist. Then, a coarse to fine cross-modality registration from MRI to CT was conducted as follows: (1) A rigid transformation was performed on MRI to roughly align MRI to CT with similar anatomic position. (2) Then, the region of interest (RoI) on both CT and rigid-transformed MRI were cropped. (3) A leading cross-modality deformable registration algorithm, named DEEDS, was applied on the cropped MRI and CT RoIs to find an accurate local alignment. Next, using CT and registered MRI as the combined input, a multi-modality deep segmentation network based on nnUNet was trained to generate the GTV prediction. 20% patients were randomly selected as the unseen testing set to quantitatively evaluate the performance. RESULTS The quantitative NPC GTV segmentation performance is summarized in Table 1. The deep segmentation model using CT alone achieved reasonable high performance with 76.6% Dice score and 1.34mm average surface distance (ASD). When both CT and registered MRI were used, the segmentation model further improved the performance by 0.9% Dice score increase and 11% relative ASD error reduction, demonstrating the complementary strength of CT and MRI in determining NPC GTV. Notably, the achieved 77.5% Dice score and 1.19mm ASD by the multimodality model is among the top performing results reported in recent automatic NPC GTV segmentation using either CT or MRI modality. CONCLUSION We developed a fully automated multi-modal deep-learning model for NPC GTV segmentation. The developed model can segment the NPC GTV in high accuracy. With further optimization and validation, this automated model has potential to standardize the NPC GTV segmentation and significantly decrease the workload of radiation oncologists in clinical practice.
Collapse
Affiliation(s)
- Y Zhang
- Johns Hopkins University, Baltimore, MD
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - A Yuille
- Johns Hopkins University, Baltimore, MD
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
16
|
Zhang W, Jin M, Li T, Lu Z, Wang H, Yuan Z, Wei C. Whole-Genome Resequencing Reveals Selection Signal Related to Sheep Wool Fineness. Animals (Basel) 2023; 13:2944. [PMID: 37760343 PMCID: PMC10526036 DOI: 10.3390/ani13182944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Wool fineness affects the quality of wool, and some studies have identified about forty candidate genes that affect sheep wool fineness, but these genes often reveal only a certain proportion of the variation in wool thickness. We further explore additional genes associated with the fineness of sheep wool. Whole-genome resequencing of eight sheep breeds was performed to reveal selection signals associated with wool fineness, including four coarse wool and four fine/semi-fine wool sheep breeds. Multiple methods to reveal selection signals (Fst and θπ Ratio and XP-EHH) were applied for sheep wool fineness traits. In total, 269 and 319 genes were annotated in the fine wool (F vs. C) group and the coarse wool (C vs. F) group, such as LGR4, PIK3CA, and SEMA3C and NFIB, OPHN1, and THADA. In F vs. C, 269 genes were enriched in 15 significant GO Terms (p < 0.05) and 38 significant KEGG Pathways (p < 0.05), such as protein localization to plasma membrane (GO: 0072659) and Inositol phosphate metabolism (oas 00562). In C vs. F, 319 genes were enriched in 21 GO Terms (p < 0.05) and 16 KEGG Pathways (p < 0.05), such as negative regulation of focal adhesion assembly (GO: 0051895) and Axon guidance (oas 04360). Our study has uncovered genomic information pertaining to significant traits in sheep and has identified valuable candidate genes. This will pave the way for subsequent investigations into related traits.
Collapse
Affiliation(s)
- Wentao Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Meilin Jin
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Taotao Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
| | - Huihua Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zehu Yuan
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, China;
| | - Caihong Wei
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| |
Collapse
|
17
|
Zhang D, Yuan C, Guo T, Liu J, Lu Z. Effects of Different Dietary Energy Levels on Development, Quality of Carcass and Meat, and Fatty Acid Profile in Male Lambs. Animals (Basel) 2023; 13:2870. [PMID: 37760270 PMCID: PMC10525359 DOI: 10.3390/ani13182870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/25/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023] Open
Abstract
This experiment was conducted to study the effects of dietary energy level on the growth performance and meat quality of weaned Alpine Merino lambs. The study ran for a total of 104 days (20-day pretrial, 84-day trial). From three groups of test lambs, we randomly selected ten lambs per group to determine slaughter performance, meat quality characteristics, and organ indexes. The slaughter performances of the lambs improved as the dietary energy level increased. The live weight before the slaughter of the lambs was significantly higher in the high group than in the low and medium groups. The carcass weight was significantly higher in the high group than in the low group. Dietary energy level had little effect on the organ weight of lambs. Meat quality differed among the three dietary energy levels. The muscle yellowness and redness scores decreased significantly as the energy levels increased. The C18:0, C21:0, C20:1, C18:2n6c, and C20:2 contents in the muscle were significantly higher in the high group than in the medium and low groups. The C18:3n6 content in the muscle was significantly higher in the low group than in the medium group. The C20:5n3 content in the longissimus dorsi was significantly higher in the high group than in the medium and low groups. The monounsaturated and unsaturated fatty acid contents in the muscle were significantly higher in the high group than in the low group. A dietary energy level of 10.5 MJ/kg is suitable for fattening weaned male Alpine Merino lambs.
Collapse
Affiliation(s)
- Dan Zhang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| |
Collapse
|
18
|
Chen B, Yuan C, Guo T, Liu J, Yang B, Lu Z. Molecular Mechanism of m6A Methylation Modification Genes METTL3 and FTO in Regulating Heat Stress in Sheep. Int J Mol Sci 2023; 24:11926. [PMID: 37569302 PMCID: PMC10419070 DOI: 10.3390/ijms241511926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/22/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Heat stress is an important environmental factor affecting livestock production worldwide. Primary hepatocytes and preadipocytes derived from Hu sheep were used to establish a heat stress model. Quantitative reverse transcriptase-PCR (qRT-PCR) analysis showed that heat induction significantly increased the expression levels of heat stress protein (HSP) genes and the N6-methyladenosine (m6A) methylation modification genes: methyltransferase-like protein 3 (METTL3), methyltransferase-like protein 14 (METTL14), and fat mass and obesity associated protein (FTO). Heat stress simultaneously promoted cell apoptosis. Transcriptome sequencing identified 3980 upregulated genes and 2420 downregulated genes related to heat stress. A pathway enrichment analysis of these genes revealed significant enrichment in fatty acid biosynthesis, degradation, and the PI3K-Akt and peroxisome proliferator-activated receptor (PPAR) signaling pathways. Overexpression of METTL3 in primary hepatocytes led to significant downregulation of HSP60, HSP70, and HSP110, and significantly increased mRNA m6A methylation; FTO interference generated the opposite results. Primary adipocytes showed similar results. Transcriptome analysis of cells under METTL3 (or FTO) inference and overexpression revealed differentially expressed genes enriched in the mitogen-activated protein kinase (MAPK) signaling pathways, as well as the PI3K-Akt and Ras signaling pathways. We speculate that METTL3 may increase the level of m6A methylation to inhibit fat deposition and/or inhibit the expression of HSP genes to enhance the body's resistance to heat stress, while the FTO gene generated the opposite molecular mechanism. This study provides a scientific basis and theoretical support for sheep feeding and management practices during heat stress.
Collapse
Affiliation(s)
- Bowen Chen
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (C.Y.); (T.G.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (C.Y.); (T.G.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (C.Y.); (T.G.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (C.Y.); (T.G.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Bohui Yang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (C.Y.); (T.G.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (C.Y.); (T.G.); (J.L.)
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| |
Collapse
|
19
|
Wang X, Leng S, Lu Z, Huang S, Lee BH, Baskaran L, Yew MS, Teo L, Chan MY, Ngiam KY, Lee HK, Zhong L, Huang W. Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-4. [PMID: 38083399 DOI: 10.1109/embc40787.2023.10340650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Automatic coronary artery stenosis grading plays an important role in the diagnosis of coronary artery disease. Due to the difficulty of learning the informative features from varying grades of stenosis, it is still a challenging task to identify coronary artery stenosis from coronary CT angiography (CCTA). In this paper, we propose a context-aware deep network (CADN) for coronary artery stenosis classification. The proposed method integrates 3D CNN with Transformer to improve the feature representation of coronary artery stenosis in CCTA. We evaluate the proposed method on a multicenter dataset (APOLLO study with NCT05509010). Experimental results show that our proposed method can achieve the accuracy of 0.84, 0.83, and 0.86 for stenosis diagnosis on the lesion, artery, and patient levels, respectively.
Collapse
|
20
|
Lu Z, Li T, Liu C, Zheng Y, Song J. Development and validation of a survival prediction model and risk stratification for pancreatic neuroendocrine neoplasms. J Endocrinol Invest 2023; 46:927-937. [PMID: 36394822 DOI: 10.1007/s40618-022-01956-7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/30/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE We explored risk variables associated with cancer-specific survival (CSS) in patients with pancreatic neuroendocrine neoplasms (PNENs) and created a network dynamic nomogram model to predict patient survival time. METHODS A total of 7750 patients with PNENs were included in this analysis, including 134 with functional PNENs and 7616 with nonfunctional PNENs. Clinical feature and prognosis differences between functional and nonfunctional PNENs were compared. Independent prognostic factors affecting CSS were analyzed by univariate and multifactorial Cox regression. Nomogram and web-based prognosis prediction of PNENs were developed and validated by C indices, decision curve analysis, and calibration plots. RESULTS Patients with functional PNENs were younger at diagnosis than those with nonfunctional PNENs. Functional PNENs had better prognoses than nonfunctional PNENs (5-year survival rates: 78.55% and 71.10%, respectively). Univariate and multifactorial Cox regression analyses showed that tumor infiltration (T), nodal metastasis (N), metastasis (M), tumor site, differentiation grade, age, marital status, and surgical treatment were independent prognostic risk factors for CSS, which were included in the prognostic nomogram and web-based prognosis calculator. The calibration plots and decision curve analysis showed that the nomogram had excellent prediction and clinical practical ability. The C indices for CSS in the training and validation cohorts were 0.848 (95% CI 0.838-0.8578) and 0.823 (95% CI 0.807-0.839), respectively. We scored all patients according to the nomogram and divided patients into three different risk groups. The prognosis of the low-risk population was significantly better than those of the middle- and high-risk populations based on Kaplan-Meier survival curve. CONCLUSION We analyzed the clinical features of PNENs and developed a convenient and web dynamic nomogram to predict CSS.
Collapse
Affiliation(s)
- Z Lu
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - T Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing, 100730, People's Republic of China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - C Liu
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Y Zheng
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - J Song
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
| |
Collapse
|
21
|
Fei X, Jin M, Yuan Z, Li T, Lu Z, Wang H, Lu J, Quan K, Yang J, He M, Wang T, Wang Y, Wei C. MiRNA-Seq reveals key MicroRNAs involved in fat metabolism of sheep liver. Front Genet 2023; 14:985764. [PMID: 36968587 PMCID: PMC10035661 DOI: 10.3389/fgene.2023.985764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 02/27/2023] [Indexed: 03/11/2023] Open
Abstract
There is a genetic difference between Hu sheep (short/fat-tailed sheep) and Tibetan sheep (short/thin-tailed sheep) in tail type, because of fat metabolism. Previous studies have mainly focused directly on sheep tail fat, which is not the main organ of fat metabolism. The function of miRNAs in sheep liver fat metabolism has not been thoroughly elucidated. In this study, miRNA-Seq was used to identify miRNAs in the liver tissue of three Hu sheep (short/fat-tailed sheep) and three Tibetan sheep (short/thin-tailed sheep) to characterize the differences in fat metabolism of sheep. In our study, Hu sheep was in a control group, we identified 11 differentially expressed miRNAs (DE miRNAs), including six up-regulated miRNAs and five down-regulated miRNAs. Miranda and RNAhybrid were used to predict the target genes of DE miRNAs, obtaining 3,404 target genes. A total of 115 and 67 GO terms as well as 54 and 5 KEGG pathways were significantly (padj < 0.05) enriched for predicted 3,109 target genes of up-regulated and 295 target genes of down-regulated miRNAs, respectively. oar-miR-432 was one of the most up-regulated miRNAs between Hu sheep and Tibetan sheep. And SIRT1 is one of the potential target genes of oar-miR-432. Furthermore, functional validation using the dual-luciferase reporter assay indicated that the up-regulated miRNA; oar-miR-432 potentially targeted sirtuin 1 (SIRT1) expression. Then, the oar-miR-432 mimic transfected into preadipocytes resulted in inhibited expression of SIRT1. This is the first time reported that the expression of SIRT1 gene was regulated by oar-miR-432 in fat metabolism of sheep liver. These results could provide a meaningful theoretical basis for studying the fat metabolism of sheep.
Collapse
Affiliation(s)
- Xiaojuan Fei
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Meilin Jin
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zehu Yuan
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Taotao Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Huihua Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jian Lu
- National Animal Husbandry Service, Beijing, China
| | - Kai Quan
- College of Animals Science and Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Junxiang Yang
- Gansu Institute of Animal Husbandry and Veterinary Medicine, Pingliang, China
| | - Maochang He
- Gansu Institute of Animal Husbandry and Veterinary Medicine, Pingliang, China
| | - Tingpu Wang
- College of Bioengineering and Biotechnology, TianShui Normal University, Tianshui, China
| | - Yuqin Wang
- College of Animals Science and Technology, Henan University of Science and Technology, Luoyang, China
- *Correspondence: Caihong Wei, ; Yuqin Wang,
| | - Caihong Wei
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- *Correspondence: Caihong Wei, ; Yuqin Wang,
| |
Collapse
|
22
|
Ke P, Xu M, Xu J, Yuan X, Ni W, Sun Y, Zhang H, Zhang Y, Tian Q, Dowling R, Jiang H, Zhao Z, Lu Z. Association of residential greenness with the risk of metabolic syndrome in Chinese older adults: a longitudinal cohort study. J Endocrinol Invest 2023; 46:327-335. [PMID: 36006585 DOI: 10.1007/s40618-022-01904-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
AIMS We aimed to investigate the association between residential greenness and MetS in older Chinese adults. METHODS Longitudinal data on sociodemographic characteristics and lifestyle were collected from the Shenzhen Healthy Ageing Research (SHARE) cohort. Greenness exposure was assessed through satellite-derived Normalized Difference Vegetation Index (NDVI) values in the 250-m, 500-m, and 1250-m radius around the residential address for each participant. MetS was defined by standard guidelines for the Chinese population. RESULTS A total of 49,893 older Chinese adults with a mean age of 70.96 (SD = 5.26) years were included in the study. In the fully adjusted models, participants who lived in the highest quartile of NDVI250-m, NDVI500-m, and NDVI1250-m had a 15% (odds ratio, OR = 0.85, 95% confidence interval, CI: 0.80-0.90), 12% (OR = 0.88, 95% CI: 0.83-0.93), and 11% (OR = 0.89, 95% CI: 0.85-0.95) lower incidence of MetS, respectively, than those living in the lowest quartile (all p-trend < 0.01). Interactions and subgroup analyses showed that age, sex, smoking status, and drinking status were significant effect modifiers (p-interaction for all NDVI < 0.05). CONCLUSIONS Residential greenness is associated with a lower risk of MetS in Chinese older adults, especially for young older adults, females, non-smokers, and non-drinkers.
Collapse
Affiliation(s)
- P Ke
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - M Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - J Xu
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - X Yuan
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - W Ni
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Sun
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - H Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Q Tian
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Dowling
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia
| | - H Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia.
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
| | - Z Zhao
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China.
| | - Z Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China.
| |
Collapse
|
23
|
Lu Z, Piro M. Computational fluid dynamic investigations of flow bypass through an aged CANDU pressure tube. ANN NUCL ENERGY 2022. [DOI: 10.1016/j.anucene.2022.109345] [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: 11/28/2022]
|
24
|
Becksfort J, Lucas J, Hsu C, Vajapeyam S, Wang C, Simpson E, Chiang J, Armstrong J, Soike M, Young M, Kann B, Li Y, Li C, Lu Z, Kline C, Meuller S, Gajjar A, Merchant T, Baker S, Patay Z, Wright K, Poussaint T, Tinkle C. Conventional and Cross-Channel MR Radiomic Features do Not Predict Histone H3 Status in DIPG: Genomic and Clinical Evaluation of a Multi-Institutional Cohort. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1740] [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]
|
25
|
Liu H, Wu P, Xie J, Zhang S, Lu Z. Multifocal amyloidosis of the upper aerodigestive tract. QJM 2022; 115:689-690. [PMID: 35699518 DOI: 10.1093/qjmed/hcac145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Indexed: 02/05/2023] Open
Affiliation(s)
- H Liu
- Shantou University Medical College, 22 Xinling Road, Shantou, 515000, Guangdong, China
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - P Wu
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, 1023 Shatainan Road, Guangzhou, 510515, Guangdong, China
| | - J Xie
- Shantou University Medical College, 22 Xinling Road, Shantou, 515000, Guangdong, China
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - S Zhang
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - Z Lu
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, 1023 Shatainan Road, Guangzhou, 510515, Guangdong, China
| |
Collapse
|
26
|
Lu Z, Tilly M, Wolters F, De Groot NMS, Ikram MA, Kavousi M. Plasma amyloid-beta levels and risk of new-onset atrial fibrillation in the general population. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2302] [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: 11/12/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is a major health burden worldwide, with significant sex differences in epidemiology and risk factors. Amyloid-β40 (Aβ40) and Amyloid-β42 (Aβ42), the hallmark of cerebral amyloid angiopathy, have recently been linked to prevalence and prognosis of several cardiovascular outcomes including stroke and coronary heart disease. However, whether these biomarkers are associated with incident AF remains largely unknown.
Purpose
To investigate the associations between plasma concentrations of Aβ40 and Aβ42 with new-onset AF.
Methods
4,134 participants without a history of AF at baseline (from 2002 to 2005) with qualified plasma samples in the Rotterdam Study were included in this study. AF was diagnosed by electrocardiograms, general practitioners' and hospital records. Cox proportional hazards regression models with natural cubic splines were used to assess the linear/nonlinear association between biomarkers and risk of new-onset AF. All models were adjusted for traditional cardiovascular risk factors.
Results
Mean age was 71.3±7.2 years and 2,383 (57.6%) were women. Median follow-up time was 9.2 years. In the fully adjusted model, higher levels of Aβ40 [hazard ratio, 95% confidence interval: 1.16 (1.05–1.28)] and Aβ42 [1.19 (1.09–1.31)], as well as Amyloid-β42 to β40 ratio (Aβ42/40) [1.09 (1.02–1.17)] were significantly associated with incident AF. The observed association between Aβ40 and AF attenuated after mutual adjustment for Aβ42 [1.05 (0.92–1.19)]. In addition, a J-shaped association was found between Aβ40 and AF with the lowest AF risk at Aβ40 values of 212.5 pg/ml.
Conclusions
Both Aβ40 and Aβ42 were independently significantly associated with new-onset AF in the general population independent of cardiovascular risk factors. Findings also suggest a stronger association between AF onset and Aβ42 and AF onset, compared to Aβ40. A nonlinear association was found between Aβ40 and AF, reflecting a substantially increased AF risk among participants with severely increased Aβ40 values.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Tilly
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - F Wolters
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology , Rotterdam , The Netherlands
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| |
Collapse
|
27
|
Lu Z, Ntlapto N, Tilly M, Ikram MA, De Groot NMS, Kavousi M. Cardiometabolic multimorbidity and lifetime risk of atrial fibrillation among men and women. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2241] [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: 11/15/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is the most common cardiac arrythmia worldwide, with an increased risk of comorbidity, and significant sex differences in pathophysiology and prognosis. Cardiometabolic disorders, including obesity, hypertension, diabetes mellitus, coronary heart disease, stroke, and heart failure commonly coexist with AF. However, the sex-specific patterns and (combined) impact of cardiometabolic disorders on the risk of new-onset AF remains largely unknown.
Purpose
To examine the association between patterns of cardiometabolic multimorbidity and new-onset AF and lifetime risk of AF incidence among men and women.
Methods
4,113 men and 5,432 women free of prevalent AF at baseline (from 1996 to 2008) from the Rotterdam Study were included. AF incidents were assessed by electrocardiograms and general practitioners' and hospital records, and followed up to January 1st, 2014. Sex-specific Cox proportional hazards regression models were used to assess the association between the amount of cardiometabolic disorders and risks of new-onset AF. Models were adjusted for traditional cardiovascular risk factors. Remaining lifetime risk for AF was estimated across the cardiometabolic multimorbidity groups at index ages of 55, 65, and ≥75 years up to age 108.
Results
Mean age at baseline was 65.5±9.4 years. Median follow-up time was 10.8 years. In the fully-adjusted model, a significant association was found between the amount of cardiometabolic disorders and incident AF among women but not men. Compared to women without cardiometabolic disorders, women with 3 (hazard ratios, 95% conference intervals: 2.17 (1.24–3.79)) and ≥4 comorbidities (4.58 (2.22–9.48)) had higher AF risks. The lifetime risk for AF was significantly increased with the number of cardiometabolic disorders among both men and women. At index age of 55 years, the lifetime risks (95% confidence interval) for AF were 25.2% (17.1–33.4), 24.2% (20.0–28.9), 27.1% (23.2–31.0), 30.0% (24.3–35.7) and 34.1% (22.4–45.7), for 0, 1, 2, 3, and ≥4 comorbid cardiometabolic disorders among men, respectively. Corresponding risks were 16.3% (6.68–25.9), 20.3% (16.3–24.3), 27.6% (24.1–31.2), 23.6% (17.8–29.4) and 33.3% (16.0–50.2) among women.
Conclusions
We observed a significant combined impact of cardiometabolic disorders on AF risk, most evidently among women. Participants with cardiometabolic multimorbidity had a significantly increased lifetime risk of AF, especially at a young index age.
Funding Acknowledgement
Type of funding sources: None.
Collapse
Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N Ntlapto
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Tilly
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology , Rotterdam , The Netherlands
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| |
Collapse
|
28
|
Nagy T, Ann Gormley M, Moschella P, Lu Z, Rodriguez J, Roth P. 71 HIV Pre-exposure Prophylaxis in the Emergency Department: A Systematic Review. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.094] [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]
|
29
|
Wang C, Lu Z, Simpson C, Lee D, Tranmer J. PREDICTING LONG-TERM SURVIVAL AFTER DE NOVO CARDIOVERTER DEFIBRILLATOR IMPLANTATION FOR PRIMARY PREVENTION. Can J Cardiol 2022. [DOI: 10.1016/j.cjca.2022.08.118] [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] Open
|
30
|
Cybulski T, Klug Z, Nelson R, Sala M, Diaz E, Lu Z, Misharin A, Jain M. 427 Persistence of cell type–specific transcriptomic changes in the nasal epithelium of people with cystic fibrosis receiving cystic fibrosis transmembrane conductance regulator modulators. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01117-1] [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: 11/07/2022]
|
31
|
Tian M, Lu Z, Chen S, Lu G, Bu F, Deng W, Ding R. 1014P Resistance landscape to almonertinib in EGFR-mutated NSCLC. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1140] [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: 11/01/2022] Open
|
32
|
Chen B, Yue Y, Li J, Liu J, Yuan C, Guo T, Zhang D, Yang B, Lu Z. Transcriptome-metabolome analysis reveals how sires affect meat quality in hybrid sheep populations. Front Nutr 2022; 9:967985. [PMID: 36034900 PMCID: PMC9403842 DOI: 10.3389/fnut.2022.967985] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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: 06/13/2022] [Accepted: 07/28/2022] [Indexed: 12/03/2022] Open
Abstract
Crossbreeding improves and enhances meat quality and is widely used in sheep production; however, the molecular mechanisms underlying the meat quality of various crossbred sheep remain unknown. In this study, male Southdown, Suffolk and Hu sheep were crossbred with female Hu sheep, and the transcriptomes and metabolomes of the longissimus dorsi muscle of the F1 generation were sequenced to explore how different sire breeds affect meat quality. The results showed that 631 differentially expressed genes and 119 significantly altered metabolites contributed to muscle development characteristics and meat quality-related diversity (P < 0.05). These genes and metabolites were significantly enriched in lipid metabolism pathways, including arachidonic acid metabolism and PPAR signaling. Several candidate genes were associated with muscle growth, such as MYLK3, MYL10, FIGN, MYH8, MYOM3, LMCD1, and FLRT1. Among these, MYH8 and MYL10 participated in regulating muscle growth and development and were correlated with meat quality-related fatty acid levels (|r| > 0.5 and p < 0.05). We selected mRNA from four of these genes to verify the accuracy of the sequencing data via qRT-PCR. Our findings provide further insight into the key genes and metabolites involved in muscle growth and meat quality in hybrid sheep populations.
Collapse
Affiliation(s)
- Bowen Chen
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Jianye Li
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Dan Zhang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Bohui Yang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| |
Collapse
|
33
|
Junde Z, Tingting L, Lu Z, Shan C, Dan Y, Yizhen Z. Lithium chloride promotes neural functional recovery after local cerebral ischaemia injury in rats through Wnt signalling pathway activation. Folia Morphol (Warsz) 2022; 82:519-532. [PMID: 35916382 DOI: 10.5603/fm.a2022.0068] [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: 05/23/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Lithium chloride (LiCl) has a significant neuroprotective effect in cerebral ischaemia. However, to date, there is a paucity of evidence on the role of LiCl in neural restoration after brain ischaemia and the signalling pathways involved remain unclear. MATERIALS AND METHODS Therefore, to address this gap, the middle cerebral artery occlusion (MCAO) rat model was used to simulate human ischaemia stroke. Male Sprague-Dawley rats were given MCAO for 90 min followed by reperfusion, and Dickkopf-1 (DKK1, 5.0 μg/kg) was administered half an hour before MCAO. Rats were then treated with hypodermic injection of LiCl (2.0 mmol/kg) twice a day for 1 week. After treatment, cognitive impairment was assessed by the Morris water maze test. Neurological deficit score, 2,3,5-triphenyl tetrazolium chloride staining, brain water content, and histopathology were used to evaluate brain damage. Enzyme-linked immunosorbent assay was used to measure oxidative stress damage and inflammatory cytokines. Apoptosis of the hippocampal neurons was tested by western blot. The key factors of Wnt signalling pathway in the ischaemic penumbra were detected by immunofluorescence staining and quantitative real-time polymerase chain reaction. RESULTS Current experimental results showed that LiCl treatment significantly improved the impaired spatial learning and memory ability, suppressed oxidative stress, inflammatory reaction, and neuron apoptosis accompanied by attenuating neuronal damage, which subsequently decreased the brain oedema, infarct volume and neurological deficit. Furthermore, the treatment of LiCl activated Wnt signalling pathway. Interestingly, the aforementioned effects of LiCl treatment were markedly reversed by administration of DKK1, an inhibitor of Wnt signalling pathway. CONCLUSIONS These results indicate that LiCl exhibits neuroprotective effects in focal cerebral ischaemia by Wnt signalling pathway activation, and it might have latent clinical application for the prevention and treatment of ischaemic stroke.
Collapse
Affiliation(s)
- Z Junde
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China.
| | - L Tingting
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - Z Lu
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - C Shan
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - Y Dan
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | | |
Collapse
|
34
|
Lu Z, Gong Z, Wang H, Zhu M, Jiang H, Cao Y. P-382 Decrease of serum estradiol prior to human chorionic gonadotrophin administration have an impact on live birth in IVF/ICSI cycles. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Whether decrease of serum estradiol prior to human chorionic gonadotrophin administration have an impact on live birth in IVF/ICSI cycles?
Summary answer
The E2 change before the day of hCG administration had significant correlation with live birth. The live birth rate decreased with decreasing serum E2 level.
What is known already
The objective of this study was to assess the effects of a decrease of estradiol (E2) levels on the day of human chorionic gonadotrophin (hCG) administration on in vitro fertilization /intracytoplasmic sperm injection (IVF/ICSI) outcomes, including cycles with long, antagonist and micro stimulus protocols.
Study design, size, duration
In this retrospective cohort study, 1303 patients who received IVF/ICSI non-donor treatment were identified. Patients were divided into two groups according to live birth and the characteristics of IVF/ICSI cycles were compared between groups, including baseline infertility parameters, ovarian stimulation characteristics and embryo laboratory manipulation parameters.
Participants/materials, setting, methods
In this retrospective cohort study, 1303 patients who received IVF/ICSI non-donor treatment were identified. Patients were divided into two groups according to live birth and the characteristics of IVF/ICSI cycles were compared between groups, including baseline infertility parameters, ovarian stimulation characteristics and embryo laboratory manipulation parameters. The multivariate logistic regression model was performed to adjust potential confounders and assess correlation between E2 dynamics before hCG administration and live birth.
Main results and the role of chance
Our results revealed that patients without live birth had higher age (32.13 ± 4.33 vs. 30.21 ± 3.71, P < 0.001) and pervious miscarriages (0.57 ± 0.95 vs. 0.46 ± 0.83, P = 0.0295), while had lower number of oocytes retrieved (8.95 ± 4.69 vs. 12.36 ± 5.54, P < 0.001), day of hCG E2 (8269.53 ± 4104.22 vs. 9580.71 ± 3534.11, P < 0.001) and endometrium thickness (10.37 ± 3.66 vs. 11.50 ± 3.40, P < 0.001) compared with patients with live birth. Additionally, the multivariate logistic regression analysis displayed significant impact of serum E2 change on the live birth, and the achievement of live birth [OR (95%CI) 0.81 (0.71, 0.92), P = 0.001] decreased with the decreasing level of serum E2 before hCG trigger day. Estradiol stratification analyses displayed the OR and 95% CI for the association between △E2 and live birth among patients with different levels of estradiol decline (<25%, 25%–50%, 50%–75%, >75%). Compared with the <25% decline and 25%–50% decline groups, the ORs of 50%–75% and >75% decline groups were 1.66 (95% CI: 1.12-2.45, P = 0.012) and 2.00 (95% CI: 1.39-2.89, P < 0.001), respectively, after adjusting potential confounders.
Limitations, reasons for caution
There was concealment of randomization and blinding of outcome assessments reducing the risk of selection and measurement bias.
Wider implications of the findings
In summary, the E2 change before the day of hCG administration had significant correlation with live birth, and the live birth decreased with the decreasing level of serum E2 before hCG trigger day. The patients with a greater decline in the E2 level more likely to had poor clinical outcomes.
Trial registration number
Chi CTR1900026088
Collapse
Affiliation(s)
- Z Lu
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - Z Gong
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - H Wang
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - M Zhu
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - H Jiang
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - Y Cao
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| |
Collapse
|
35
|
Jin M, Fei X, Li T, Lu Z, Chu M, Di R, He X, Wang X, Wei C. Transcriptome study digs out BMP2 involved in adipogenesis in sheep tails. BMC Genomics 2022; 23:457. [PMID: 35725366 PMCID: PMC9210821 DOI: 10.1186/s12864-022-08657-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/25/2022] [Indexed: 12/22/2022] Open
Abstract
Background Hu sheep and Tibetan sheep in China are characterized by fat tails and thin tails, respectively. Several transcriptomes have been conducted in different sheep breeds to identify the differentially expressed genes (DEGs) underlying this trait. However, these studies identified different DEGs in different sheep breeds. Results Hence, RNA sequencing was performed on Hu sheep and Tibetan sheep. We obtained a total of 45.57 and 43.82 million sequencing reads, respectively. Two libraries mapped reads from 36.93 and 38.55 million reads after alignment to the reference sequences. 2108 DEGs were identified, including 1247 downregulated and 861 upregulated DEGs. GO and KEGG analyses of all DEGs demonstrated that pathways were enriched in the regulation of lipolysis in adipocytes and terms related to the chemokine signalling pathway, lysosomes, and glycosaminoglycan degradation. Eight genes were selected for validation by RT–qPCR. In addition, the transfection of BMP2 overexpression into preadipocytes resulted in increased PPAR-γ expression and expression. BMP2 potentially induces adipogenesis through LOX in preadipocytes. The number of lipid drops in BMP2 overexpression detected by oil red O staining was also greater than that in the negative control. Conclusion In summary, these results showed that significant genes (BMP2, HOXA11, PPP1CC and LPIN1) are involved in the regulation of adipogenesis metabolism and suggested novel insights into metabolic molecules in sheep fat tails. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08657-8.
Collapse
Affiliation(s)
- Meilin Jin
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiaojuan Fei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Taotao Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu, China
| | - Mingxing Chu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ran Di
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoyun He
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiangyu Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Caihong Wei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| |
Collapse
|
36
|
Liu X, Li H, Zeng L, Lu Z, Chen S, Bibikova M, Chen Z, Fan J. P-129 Evaluation of HER2 status in equivocal gastric cancer tissue samples using surrogate DNA methylation markers. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.219] [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] Open
|
37
|
Jin M, Fei X, Li T, Lu Z, Chu M, Di R, He X, Wang X, Wang Y, Yuan Z, Quan K, Wang H, Wei C. Oar-miR-432 Regulates Fat Differentiation and Promotes the Expression of BMP2 in Ovine Preadipocytes. Front Genet 2022; 13:844747. [PMID: 35559046 PMCID: PMC9087340 DOI: 10.3389/fgene.2022.844747] [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: 01/11/2022] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
The fat tail is a unique characteristic of sheep that represents energy reserves and is a complex adaptative mechanism of fat-tailed sheep to environmental stress. MicroRNA plays a significant role as regulators at the posttranscriptional level, but no studies have explained the molecular mechanisms of miRNA which regulate fat deposition in sheep tails. In this study, mRNA and miRNA analysis examined tail fat tissue from three Hu fat-tailed and three Tibetan thin-tailed sheep. After aligning to the reference sequences, 2,108 differentially expressed genes and 105 differential expression miRNAs were identified, including 1,247 up- and 861 downregulated genes and 43 up- and 62 downregulated miRNAs. Among these differentially expressed miRNAs, oar-miR-432 was one of the most downregulated miRNAs between Hu sheep and Tibetan sheep, and 712 genes were predicted to be targeted by oar-miR-432, 80 of which overlapped with DEGs. The Gene Ontology analysis on these genes showed that BMP2, LEP, GRK5, BMP7, and RORC were enriched in fat cell differentiation terms. The genes for BMP2 targeted by oar-miR-432 were examined using dual-luciferase assay. The oar-miR-432 mimic transfected into preadipocytes resulted in increased expression of BMP2. The marker gene PPAR-γ of fat differentiation had a lower expression than the negative control on days 0, 2, and 4 after induced differentiation. The decrease in the number of lipids in the oar-miR-432 mimic group detected by oil red O stain was also less than that in the negative control. This is the first study to reveal the fat mechanisms by which oar-miR-432 inhibits fat differentiation and promotes the expression of BMP2 in sheep tails.
Collapse
Affiliation(s)
- Meilin Jin
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiaojuan Fei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Taotao Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Mingxing Chu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ran Di
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoyun He
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiangyu Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuqing Wang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Zehu Yuan
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Kai Quan
- College of Animal Science and Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, China
| | - Huihua Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Caihong Wei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| |
Collapse
|
38
|
Lu Z, Geurts S, Aribas E, De Groot NMS, Kavousi M. Women-specific risk factors and risk of incident atrial fibrillation in UK Biobank. Eur J Prev Cardiol 2022. [DOI: 10.1093/eurjpc/zwac056.146] [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: 11/12/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Atrial fibrillation (AF) is the most common cardiac arrhythmia worldwide and carries a large morbidity and mortality risk. Recent evidence suggests differences in epidemiology and pathophysiology of AF between women and men and underscores a poorer prognosis of AF among women. This calls for further investigation regarding the impact of women-specific risk factors on AF development.
Purpose
To investigate the association between women-specific risk factors and new-onset AF.
Methods
235,191 women (mean [standard deviation] age: 55.7 [8.1] years) free of AF and without a history of hysterectomy and/or bilateral oophorectomy from the UK Biobank were included. Various women-specific risk factors were assessed from 2006 to 2010. Follow-up of new-onset AF occurred through October 2020. Cox proportional hazards analyses were performed to investigate prospective associations between each risk factor and incident AF. Additionally, natural splines were used to identify any potential nonlinear associations.
Results
After a median follow-up of 11.6 (interquartile range: 10.9–12.3) years, 4,629 (2%) women experienced new-onset AF. In fully adjusted models, having experienced irregular menstrual cycle was significantly associated with increased new-onset AF risk [hazard ratio (HR); 95% confidence interval (CI): 1.34; 1.01-1.79]. In addition, nonlinear associations were found between menopausal age, menarcheal age, number of live births, and number of total reproductive years with incident AF. Compared to the reference, early menopause (menopause <45 years of age) or delayed menopause (>60 years) significantly increased risks of incident AF (HR; 95CI: 1.24; 1.10-1.39 and 1.34; 1.01-1.78, respectively). Compared to the reference, both early menarche (menarche ≤11 years) and late menarche (menarche ≥13 years) were associated with AF incidence (HR; 95CI: 1.10; 1.00-1.21 and 1.08; 1.00-1.17, respectively). Compared to women with one or two children, having no children (HR; 95CI: 1.13; 1.04-1.24), or more than six children (HR; 95%CI: 1.67; 1.03-2.70) were associated with higher AF risks. Having reproductive years ≤20 years was significantly associated with incident AF (HR; 95CI: 1.74; 1.07-2.86).
Conclusions
Having experienced early or delayed menopause, early or late menarche, or irregular menstrual cycles conferred higher risks of incident AF among women in the UK Biobank. Interestingly, both nulliparity and multiparity, compared to having one or two children, were associated with an increased AF risk. Our results highlight the importance of knowledge regarding the reproductive history of women in devising screening strategies for AF prevention.
Collapse
Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - S Geurts
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - E Aribas
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - NMS De Groot
- Erasmus University Medical Centre, Department of Cardiology, Rotterdam, Netherlands (The)
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| |
Collapse
|
39
|
Lu Z, Li J, Yuan C, Xi B, Yang B, Meng X, Guo T, Yue Y, Gao Y, Liu J, Sun X. Evaluation of Mutton Quality Characteristics of Dongxiang Tribute Sheep Based on Membership Function and Gas Chromatography and Ion Mobility Spectrometry. Front Nutr 2022; 9:852399. [PMID: 35600824 PMCID: PMC9122487 DOI: 10.3389/fnut.2022.852399] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [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: 01/11/2022] [Accepted: 04/07/2022] [Indexed: 01/13/2023] Open
Abstract
Dongxiang tribute sheep have a history of use in food dishes such as "Dongxiang Handgrip," which dates back hundreds of years and is a favorite halal food in northwestern China. However, little is known about the mutton quality characteristics of Dongxiang tribute sheep. Here, we measured the sensory characteristics, nutritional quality, and flavor substances to comprehensively evaluate the mutton quality characteristics of these sheep. The mutton qualities of Dongxiang tribute, Tibetan, Ujumqin, and Hu sheep were comprehensively evaluated by membership function. Subsequently, the volatile components in mutton samples from 30 Dongxiang tribute sheep were detected via gas chromatography and ion mobility spectrometry (GC-IMS), and their fingerprints were established. The result of meat quality revealed that the shear force, the contents of protein, essential amino acid (EAA), non-essential amino acid (NEAA), and n-6/n-3 ratio of Dongxiang tribute mutton were better than the other three breeds. Membership functions were calculated for 10 physical and chemical indexes of mutton quality, and the comprehensive membership function values of the four breeds in order of highest to lowest mutton quality were Tibetan sheep (0.76) > Dongxiang tribute sheep (0.49) > Hu sheep (0.46) > Ujumqin sheep (0.33). Thirty volatile compounds were identified via GC-IMS: seven alcohols, eight aldehydes, five ketones, two esters, two phenols, one ether, one furan, one acid, two hydrocarbons, and one pyrazine. Ketones, aldehydes, and alcohols were the main volatile compounds forming the flavor of Dongxiang tribute sheep mutton. The reliability of the results was validated by PCA (principal component analysis) and similarity analyses. Our results provide reference value for consumers of mutton in China.
Collapse
Affiliation(s)
- Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Jianye Li
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Bin Xi
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Quality Safety Risk Assessment of Animal Products, Ministry of Agriculture, Lanzhou, China
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Xianyu Meng
- Dongxiang Autonomous County Animal Husbandry Development Center, Linxia, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Yaqin Gao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Quality Safety Risk Assessment of Animal Products, Ministry of Agriculture, Lanzhou, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Xiaoping Sun
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| |
Collapse
|
40
|
Xiao L, Hua F, Knops JMH, Zhao X, Mishra C, Lovari S, Alexander JS, Weckworth B, Lu Z. Spatial separation of prey from livestock facilitates coexistence of a specialized large carnivore with human land use. Anim Conserv 2022. [DOI: 10.1111/acv.12769] [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: 11/30/2022]
Affiliation(s)
- L Xiao
- School of Life Sciences Peking University Beijing China
- Department of Health and Environmental Sciences Xi'an Jiaotong‐Liverpool University Suzhou China
| | - F Hua
- Institute of Ecology, College of Urban and Environmental Sciences Peking University Beijing China
| | - J M H Knops
- Department of Health and Environmental Sciences Xi'an Jiaotong‐Liverpool University Suzhou China
| | - X Zhao
- Shanshui Conservation Center Beijing China
| | - C Mishra
- Snow Leopard Trust Seattle WA USA
| | - S Lovari
- Department of Life Sciences University of Siena Siena Italy
| | | | | | - Z Lu
- School of Life Sciences Peking University Beijing China
| |
Collapse
|
41
|
Vanderpont AK, Lobson C, Lu Z, Luong K, Arentsen M, Vera T, Moore D, White MS, Prosser RS, Wong CS, Hanson ML. Fate of thiamethoxam from treated seeds in mesocosms and response of aquatic invertebrate communities. Ecotoxicology 2022; 31:341-356. [PMID: 35000026 DOI: 10.1007/s10646-021-02500-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/23/2021] [Indexed: 06/14/2023]
Abstract
Thiamethoxam is a neonicotinoid insecticide widely applied in the Canadian Prairies. It has been detected in surface waters of agro-ecosystems, including wetlands, but the potential effects on non-target invertebrate communities in these wetlands have not been well characterized. In an effort to understand better the fate of thiamethoxam in wetlands and the response of invertebrates (zooplankton and emergent insects), model systems were used to mimic wetland flooding into planted fields. Outdoor mesocosms were treated with a single application of thiamethoxam-treated canola seeds at three treatment levels based on a recommended seeding rate (i.e., 6 kg/ha; 1×, 10×, and 100× seeding rate) and monitored over ten weeks. The mean half-life of thiamethoxam in the water column was 6.2 d. There was no ecologically meaningful impact on zooplankton abundances or community structure among treatments. Statistically significant differences were observed in aquatic insect abundance between control mesocosms and the two greatest thiamethoxam treatments (10× and 100× seeding rate). The observed results indicate exposure to thiamethoxam at environmentally relevant concentrations likely does not represent a significant ecological risk to abundance and community structure of wetland zooplankton and emergent insects.
Collapse
Affiliation(s)
- A K Vanderpont
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - C Lobson
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Z Lu
- Institut des Sciences de la Mer de Rimouski, Université du Québec à Rimouski, Rimouski, Québec, G5L 3A1, Canada
| | - K Luong
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
| | - M Arentsen
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
| | - T Vera
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
| | - D Moore
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - M S White
- EcoMetrix Inc, Mississauga, ON, L5N 2L8, Canada
| | - R S Prosser
- School of Environmental Sciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - C S Wong
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
- Southern California Coastal Water Research Project Authority, Costa Mesa, CA, 92626, USA
| | - M L Hanson
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada.
| |
Collapse
|
42
|
Diehl S, Kim A, Angelini G, Joo K, Adhikari S, Amaryan M, Arratia M, Atac H, Avakian H, Ayerbe Gayoso C, Baltzell NA, Barion L, Bastami S, Battaglieri M, Bedlinskiy I, Benmokhtar F, Bianconi A, Biselli AS, Bondi M, Bossù F, Boiarinov S, Brinkmann KT, Briscoe WJ, Brooks W, Bulumulla D, Burkert VD, Carman DS, Carvajal JC, Celentano A, Chatagnon P, Chetry T, Ciullo G, Clark L, Clary BA, Cole PL, Contalbrigo M, Costantini G, Crede V, D'Angelo A, Dashyan N, De Vita R, Defurne M, Deur A, Dilks C, Djalali C, Dugger M, Dupre R, Egiyan H, Ehrhart M, El Alaoui A, El Fassi L, Elouadrhiri L, Fegan S, Filippi A, Forest T, Gavalian G, Gilfoyle GP, Girod FX, Glazier DI, Golubenko AA, Gothe RW, Gotra Y, Griffioen KA, Guidal M, Hafidi K, Hakobyan H, Hattawy M, Hauenstein F, Hayward TB, Heddle D, Hicks K, Hobart A, Holtrop M, Hyde CE, Ireland DG, Isupov EL, Jo HS, Johnston R, Joosten S, Keller D, Khachatryan M, Khanal A, Kim W, Kripko A, Kubarovsky V, Kuhn SE, Lanza L, Leali M, Lee S, Lenisa P, Livingston K, Lu Z, MacGregor IJD, Marchand D, Markov N, Marsicano L, Mascagna V, McKinnon B, Meziani ZE, Milner RG, Mineeva T, Mirazita M, Mokeev V, Moran P, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Naidoo P, Nanda S, Neupane K, Niccolai S, Niculescu G, O'Connell TR, Osipenko M, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Phelps W, Pogorelko O, Prok Y, Prokudin A, Raue BA, Ripani M, Ritman J, Rizzo A, Roberts CD, Rossi P, Rowley J, Sabatié F, Salgado C, Schmidt A, Segarra EP, Sharabian YG, Shrestha U, Simmerling P, Sokhan D, Soto O, Sparveris N, Stepanyan S, Stoler P, Strakovsky II, Strauch S, Tezgin K, Thornton A, Tyler N, Tyson R, Ungaro M, Venturelli L, Voskanyan H, Vossen A, Voutier E, Watts DP, Wei K, Wei X, Xu SS, Yale B, Zachariou N, Zhang J. Multidimensional, High Precision Measurements of Beam Single Spin Asymmetries in Semi-inclusive π^{+} Electroproduction off Protons in the Valence Region. Phys Rev Lett 2022; 128:062005. [PMID: 35213183 DOI: 10.1103/physrevlett.128.062005] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 09/28/2021] [Accepted: 01/21/2022] [Indexed: 06/14/2023]
Abstract
High precision measurements of the polarized electron beam-spin asymmetry in semi-inclusive deep inelastic scattering (SIDIS) from the proton have been performed using a 10.6 GeV incident electron beam and the CLAS12 spectrometer at Jefferson Lab. We report here a high precision multidimensional study of single π^{+} SIDIS data over a large kinematic range in Bjorken x, fractional energy, and transverse momentum of the hadron as well as photon virtualities Q^{2} ranging from 1-7 GeV^{2}. In particular, the structure function ratio F_{LU}^{sinϕ}/F_{UU} has been determined, where F_{LU}^{sinϕ} is a twist-3 quantity that can reveal novel aspects of emergent hadron mass and quark-gluon correlations within the nucleon. The data's impact on the evolving understanding of the underlying reaction mechanisms and their kinematic variation is explored using theoretical models for the different contributing transverse momentum dependent parton distribution functions.
Collapse
Affiliation(s)
- S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - G Angelini
- The George Washington University, Washington, D.C. 20052, USA
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - M Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Arratia
- University of California, Riverside, California 92521, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Ayerbe Gayoso
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - S Bastami
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Battaglieri
- INFN, Sezione di Genova, 16146 Genova, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - M Bondi
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K-T Brinkmann
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - W Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Chatagnon
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - T Chetry
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B A Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P L Cole
- Lamar University, 4400 MLK Blvd, P.O. Box 10046, Beaumont, Texas 77710, USA
| | | | - G Costantini
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Defurne
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Dilks
- Duke University, Durham, North Carolina 27708-0305, USA
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
| | - M Dugger
- Arizona State University, Tempe, Arizona 85281, USA
| | - R Dupre
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ehrhart
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - T Forest
- Idaho State University, Pocatello, Idaho 83209, USA
| | - G Gavalian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A A Golubenko
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Y Gotra
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F Hauenstein
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - A Hobart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - R Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - S Joosten
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Kripko
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - M Leali
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - S Lee
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - P Lenisa
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z Lu
- School of Physics, Southeast University, Nanjing 211189, Jiangsu, China
| | | | - D Marchand
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Marsicano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - V Mascagna
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi dell'Insubria, 22100 Como, Italy
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z E Meziani
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R G Milner
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Moran
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Naidoo
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Nanda
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - T R O'Connell
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Paolone
- New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico 88003, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L L Pappalardo
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Phelps
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - O Pogorelko
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Prokudin
- Science Division, Penn State University Berks, Reading, Pennsylvania 19610, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B A Raue
- Florida International University, Miami, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J Ritman
- Institute fur Kernphysik (Juelich), Juelich, Germany
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome Italy
| | - C D Roberts
- School of Physics and Institute for Nonperturbative Physics, Nanjing University, Nanjing 210093, Jiangsu, China
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Rowley
- Ohio University, Athens, Ohio 45701, USA
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - U Shrestha
- Ohio University, Athens, Ohio 45701, USA
| | - P Simmerling
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Soto
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Stoler
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Tezgin
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Thornton
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Tyler
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Venturelli
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - A Vossen
- Duke University, Durham, North Carolina 27708-0305, USA
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D P Watts
- University of York, York YO10 5DD, United Kingdom
| | - K Wei
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S-S Xu
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China
| | - B Yale
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
| |
Collapse
|
43
|
Lu Z, Yuan C, Li J, Guo T, Yue Y, Niu C, Liu J, Yang B. Comprehensive Analysis of Long Non-coding RNA and mRNA Transcriptomes Related to Hypoxia Adaptation in Tibetan Sheep. Front Vet Sci 2022; 8:801278. [PMID: 35141308 PMCID: PMC8818989 DOI: 10.3389/fvets.2021.801278] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/20/2021] [Indexed: 11/24/2022] Open
Abstract
Tibetan sheep have lived on the Qinghai-Tibet Plateau for a long time, and after long-term natural selection, they have shown stable genetic adaptability to high-altitude environments. However, little is known about the molecular mechanisms of the long non-coding (lnc)RNAs involved in the adaptation of Tibetan sheep to hypoxia. Here, we collected lung tissues from high-altitude Tibetan sheep and low-altitude Hu sheep for RNA sequencing to study the regulatory mechanisms of the lncRNAs and mRNAs in the adaptation of Tibetan sheep to hypoxia. We identified 254 differentially expressed lncRNAs and 1,502 differentially expressed mRNAs. We found 20 pairs of cis-regulatory relationships between 15 differentially expressed lncRNAs and 14 protein-coding genes and two pairs of trans-regulatory relationships between two differentially expressed lncRNAs and two protein-coding genes. These differentially expressed mRNAs and lncRNA target genes were mainly enriched in pathways related to lipid metabolism and immune function. Interaction network analysis showed that 17 differentially expressed lncRNAs and 15 differentially expressed mRNAs had an interactive relationship. Additionally, we used six differentially expressed lncRNAs and mRNAs to verify the accuracy of the sequencing data via qRT-PCR. Our results provide a comprehensive overview of the expression patterns of the lncRNAs and mRNAs involved in the adaptation of Tibetan sheep to hypoxia, laying a foundation for further analysis of the adaptations of plateau animals.
Collapse
Affiliation(s)
- Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Jianye Li
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Chune Niu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
- *Correspondence: Jianbin Liu
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
- Bohui Yang
| |
Collapse
|
44
|
Wu Y, Guo T, Li J, Niu C, Sun W, Zhu S, Zhao H, Qiao G, Han M, He X, Lu Z, Yuan C, Han J, Liu J, Yang B, Yue Y. The Transcriptional Cell Atlas of Testis Development in Sheep at Pre-Sexual Maturity. Curr Issues Mol Biol 2022; 44:483-497. [PMID: 35723319 PMCID: PMC8929108 DOI: 10.3390/cimb44020033] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/15/2022] [Accepted: 01/16/2022] [Indexed: 12/12/2022] Open
Abstract
Sheep testes undergo a dramatic rate of development with structural changes during pre-sexual maturity, including the proliferation and maturation of somatic niche cells and the initiation of spermatogenesis. To explore this complex process, 12,843 testicular cells from three males at pre-sexual maturity (three-month-old) were sequenced using the 10× Genomics ChromiumTM single-cell RNA-seq (scRNA-seq) technology. Nine testicular somatic cell types (Sertoli cells, myoid cells, monocytes, macrophages, Leydig cells, dendritic cells, endothelial cells, smooth muscle cells, and leukocytes) and an unknown cell cluster were observed. In particular, five male germ cell types (including two types of undifferentiated spermatogonia (Apale and Adark), primary spermatocytes, secondary spermatocytes, and sperm cells) were identified. Interestingly, Apale and Adark were found to be two distinct states of undifferentiated spermatogonia. Further analysis identified specific marker genes, including UCHL1, DDX4, SOHLH1, KITLG, and PCNA, in the germ cells at different states of differentiation. The study revealed significant changes in germline stem cells at pre-sexual maturation, paving the way to explore the candidate factors and pathways for the regulation of germ and somatic cells, and to provide us with opportunities for the establishment of livestock stem cell breeding programs.
Collapse
Affiliation(s)
- Yi Wu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Jianye Li
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Chune Niu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Weibo Sun
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Shaohua Zhu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Hongchang Zhao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Guoyan Qiao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Mei Han
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Xue He
- College of Biological Sciences, Northwest Minzu University, Lanzhou 730050, China;
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory of Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China;
- Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi 00100, Kenya
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
- Correspondence: (B.Y.); (Y.Y.); Tel.: +86-0931-211-5272 (B.Y.); +86-0931-211-15-5273 (Y.Y.)
| | - Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences (CAAS), Lanzhou 730050, China; (Y.W.); (T.G.); (J.L.); (C.N.); (W.S.); (S.Z.); (H.Z.); (G.Q.); (M.H.); (Z.L.); (C.Y.); (J.L.)
- Correspondence: (B.Y.); (Y.Y.); Tel.: +86-0931-211-5272 (B.Y.); +86-0931-211-15-5273 (Y.Y.)
| |
Collapse
|
45
|
Abstract
BACKGROUND AND AIMS To compare the association of geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) scores with malnutrition, and to study their association with clinical outcomes in older adult cancer patients. METHODS This retrospective analysis was conducted on 854 older adult cancer patients collected from 34 hospitals in 18 cities in China between June and September 2014. Anthropometric and hematological examination results at admission were collected, and subjective global assessment was used. Clinical outcomes, such as complications, length of hospital stays, and hospital costs, were recorded. Receiver operating characteristic curves were used to evaluate the accuracy of the two nutritional assessment tools for malnutrition. The association between GNRI and CONUT score and clinical outcomes was analyzed using the chi-square test, t-test, or rank sum test. RESULTS Among 854 patients with cancer, the prevalence of malnutrition was 42.7%. Compared with subjective global assessment, the GNRI had a significantly higher accuracy than the CONUT score in predicting malnutrition (area under the curve 0.704, 95% confidence interval, 0.658 - 0.750, P < 0.001). The GNRI was significantly associated with the occurrence of complications (χ2 = 4.985, P = 0.026), and low GNRI (≤98) was associated with a longer length of hospital stay (t = -2.179, P = 0.030). CONCLUSIONS The GNRI may be used to assess malnutrition in older adult cancer patients and can predict poor clinical outcomes in these patients.
Collapse
Affiliation(s)
- C Liu
- Mingwei Zhu, Hongyuan Cui, Department of General Surgery, Department of Hepato-bilio-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, China, ;
| | | | | | | | | | | | | |
Collapse
|
46
|
Shen X, Dong H, Jiang H, Cao H, Dowling R, Feng J, Lei Z, Zhao Y, Nui Z, Pu B, Lu Z, Gan Y. The global prevalence of sexual violence against pregnant women: a systematic review and meta-analysis. Women Health 2021; 62:37-45. [PMID: 34886757 DOI: 10.1080/03630242.2021.2011824] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
When committed against pregnant women, sexual violence may have adverse health consequences for both the mother and the unborn child. To date, no studies have systematically summarized the global prevalence of sexual violence against pregnant women. We conducted a comprehensive search of PubMed, Embase and Web of Science from inception dates to January 2021 for studies reporting the prevalence of sexual violence against pregnant women. Prevalence was estimated using a random-effects meta-analysis. Heterogeneity was evaluated using the I2 statistic. Differences by study level characteristics were estimated through subgroup analysis and meta-regression. A total of 10 cross-sectional studies (a total of 8,439 participants) were included. The pooled proportion of sexual violence was 0.31 (95% CI: 0.22-0.40). Subgroup analyses showed higher prevalence of sexual violence against pregnant women in the 2010-2019 period (0.35, 95% CI0.15-7.53) and developing countries (0.32, 95% CI0.19-0.45). Almost one in three (31%) pregnant women around the world has been a victim of sexual violence in their lifetime. Sexual violence against pregnant women continues to be a major public health challenge. The global prevalence of sexual violence against pregnant women warrants the collective attention of the entire society.
Collapse
Affiliation(s)
- Xin Shen
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Dong
- Department Of General Practice, Shouyilu Street Community Health Service Center, Wuhan, Hubei, China
| | - Heng Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Hui Cao
- Department of Labor Economics and Management, Beijing Vocational College of Labour and Social Security, Beijing, China
| | - Rowan Dowling
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Jing Feng
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zihui Lei
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuxin Zhao
- Community Health Service Management Center, Shenzhen Fuyong People's Hospital, Shenzhen, Guangdong, China
| | - Zhenyu Nui
- Department of Public Health and Preventive Medicine, Medical College of Shihezi University, Shihezi, Xinjiang, China
| | - Bo Pu
- School of Business and Tourism, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Z Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| |
Collapse
|
47
|
Lei Z, Sun W, Guo T, Li J, Zhu S, Lu Z, Qiao G, Han M, Zhao H, Yang B, Zhang L, Liu J, Yuan C, Yue Y. Genome-Wide Selective Signatures Reveal Candidate Genes Associated with Hair Follicle Development and Wool Shedding in Sheep. Genes (Basel) 2021; 12:genes12121924. [PMID: 34946875 PMCID: PMC8702090 DOI: 10.3390/genes12121924] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 10/13/2021] [Revised: 11/25/2021] [Accepted: 11/27/2021] [Indexed: 02/03/2023] Open
Abstract
Hair follicle development and wool shedding in sheep are poorly understood. This study investigated the population structures and genetic differences between sheep with different wool types to identify candidate genes related to these traits. We used Illumina ovine SNP 50K chip genotyping data of 795 sheep populations comprising 27 breeds with two wool types, measuring the population differentiation index (Fst), nucleotide diversity (θπ ratio), and extended haplotype homozygosity among populations (XP-EHH) to detect the selective signatures of hair sheep and fine-wool sheep. The top 5% of the Fst and θπ ratio values, and values of XP-EHH < −2 were considered strongly selected SNP sites. Annotation showed that the PRX, SOX18, TGM3, and TCF3 genes related to hair follicle development and wool shedding were strongly selected. Our results indicated that these methods identified important genes related to hair follicle formation, epidermal differentiation, and hair follicle stem cell development, and provide a meaningful reference for further study on the molecular mechanisms of economically important traits in sheep.
Collapse
Affiliation(s)
- Zhihui Lei
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (S.Z.); (L.Z.)
| | - Weibo Sun
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Jianye Li
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Shaohua Zhu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (S.Z.); (L.Z.)
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Guoyan Qiao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Mei Han
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Hongchang Zhao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Liping Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (S.Z.); (L.Z.)
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
- Correspondence:
| |
Collapse
|
48
|
Lu Z, Hua K, Chen Y, Hu C. Standard practice of presacral exposure during transvaginal natural orifice transluminal endoscopic surgery for sacrocolpopexy. BJOG 2021; 129:1004-1007. [PMID: 34839566 DOI: 10.1111/1471-0528.17030] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2021] [Indexed: 02/03/2023]
Abstract
We describe the standard practice of presacral exposure during transvaginal natural orifice transluminal endoscopic surgery (vNOTES) for sacrocolpopexy in women with uterine prolapse. In this video, we demonstrate the key techniques: identifying the right hypogastric nerve (rHN) before opening the pelvic peritoneum; removing the fat and loose connective tissue along the rHN to expose the presacral fascia; incising the presacral fascia to reach the presacral space to expose the middle sacral vasculature and the anterior longitudinal ligament (ALL) of the first sacral vertebra (S1) below the promontory; attaching the mesh to the ALL to avoid vessel injury; and completing the peritonealisation.
Collapse
Affiliation(s)
- Z Lu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| | - K Hua
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| | - Y Chen
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| | - C Hu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| |
Collapse
|
49
|
Li K, Feng J, Yuan X, Gan L, Lu Z, Xiong R. Study on a new manner of the magnetization switching actuated by a unidirectional pulse current. Nanotechnology 2021; 33:025001. [PMID: 34614479 DOI: 10.1088/1361-6528/ac2d48] [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: 06/18/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
A new writing scheme with a unidirectional pulse current is proposed for spin transfer torque (STT) based magnetic random-access memory (MRAM). To investigate the feasibility of the writing scheme, bilayered nano-pillars composed of a soft layer with small in-plane shape anisotropy and a hard layer with either large perpendicular anisotropy (PMA) or in-plane anisotropy (IMA) are designed and their switching behaviors are studied. It is found that in either type of bilayered nano-pillars, with the aid of the attached hard layer, the magnetization of the soft layer can be switched back and forth under a unidirectional pulse current. In an IMA/IMA nano-pillar, the magnetization of the free layer (FL) can achieve excellent alignment, which is in contrast to the IMA/PMA nano-pillar. By optimizing the dimensions and magnetic parameters of the IMA/IMA nano-pillar, a decently low switching current density (4.3 × 1011A m-2) and ultrashort switching time (<1 ns) can be reached. Based on these results, the unidirectional writing scheme is practical if an IMA/IMA bilayer is used to replace the FL in a magnetic tunnel junction. Considering that a unidirectional writing scheme can enable the application of materials with high spin polarization such as half metals, and avoid the injection of writing current into junction using a special design, it may be very promising for STT-MRAM.
Collapse
Affiliation(s)
- K Li
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - J Feng
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - X Yuan
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - L Gan
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - Z Lu
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - R Xiong
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China
| |
Collapse
|
50
|
Lu Z, Tilly MJ, Aribas E, Bos D, De Knegt R, Ikram MA, De Groot NMS, Voortman T, Kavousi M. Imaging-based body fat depots and new-onset atrial fibrillation in general population. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2612] [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: 11/15/2022] Open
Abstract
Abstract
Background
Obesity is a well-established risk factor for incident atrial fibrillation (AF). Whether different body fat depots differentially associate with AF development remains largely unknown.
Purpose
We aimed to investigate the associations between various body fat depots and the risk of new-onset AF among middle-aged and elderly individuals from general population.
Methods
In the prospective population-based cohort study, body composition was assessed using dual-energy X-ray absorptiometry (DXA) and total body mass, lean mass, fat mass, android and gynoid fat were analyzed (N=3468). Liver fat and epicardial fat were assessed using computed tomography (CT) (N=2145). A body fat score was defined by adding tertiles of each fat depot. All participants were followed for the occurrence of AF until 1st Jan. 2014. Principle component analysis was conducted to identify body fat distribution patterns. Time-to-event analyses were performed using Cox proportional hazards regression analysis. Hazard ratios (HR) and 95% confidence-intervals (95% CI), adjusted for cardiovascular risk factors, were calculated.
Results
Mean (standard deviation) of age for participants in DXA study and CT study was 74.42 (6.85) and 68.66 (6.41) years, respectively. AF incidence rate was 13.1 per 1000 person-years during a median follow-up time of 9.62 years. In the adjusted model, fat mass (HR; 95% CI: 1.33; 1.05–1.68), lean mass (1.40; 1.15–1.72), gynoid fat mass (1.36; 1.12–1.65), and total body mass (1.51; 1.21–1.89) were significantly associated with new-onset AF. Of note, android-to-gynoid fat ratio was inversely associated with incident AF (HR; 95% CI: 0.81; 0.70–0.94). Larger body fat score was associated with increased risk of incident AF (P for trend <0.01). Two fat distribution patterns were identified. Adherence to the fat- and gynoid fat- pattern (P for trend = 0.035), but not muscle- and visceral fat- pattern (P for trend = 0.35), was significantly associated with larger risk of new-onset AF.
Conclusions
Various body fat depots were associated with new-onset AF. Larger values of total body mass carried the highest risk for incident AF. The inverse association between android to gynoid fat ratio with AF presents a novel finding. A significant dose-response relationship between body fat accumulation and risk of new-onset AF was observed, implying a collective impact of fat depots on AF development. Findings also suggest that various fat depots, characterized by different fat distribution patterns, may exert differential combined effect on the risk of incident AF.
Funding Acknowledgement
Type of funding sources: None. Fat depots and atrial fibrillation
Collapse
Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - M J Tilly
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - E Aribas
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - D Bos
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - R De Knegt
- Erasmus University Medical Centre, Department of Internal Medicine, Rotterdam, Netherlands (The)
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology, Rotterdam, Netherlands (The)
| | - T Voortman
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| |
Collapse
|