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Zhang G, Hu F, Huang T, Ma X, Cheng Y, Liu X, Jiang W, Dong B, Fu C. The recent development, application, and future prospects of muscle atrophy animal models. MEDCOMM – FUTURE MEDICINE 2024; 3. [DOI: 10.1002/mef2.70008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 12/01/2024] [Indexed: 01/06/2025]
Abstract
AbstractMuscle atrophy, characterized by the loss of muscle mass and function, is a hallmark of sarcopenia and cachexia, frequently associated with aging, malignant tumors, chronic heart failure, and malnutrition. Moreover, it poses significant challenges to human health, leading to increased frailty, reduced quality of life, and heightened mortality risks. Despite extensive research on sarcopenia and cachexia, consensus in their assessment remains elusive, with inconsistent conclusions regarding their molecular mechanisms. Muscle atrophy models are crucial tools for advancing research in this field. Currently, animal models of muscle atrophy used for clinical and basic scientific studies are induced through various methods, including aging, genetic editing, nutritional modification, exercise, chronic wasting diseases, and drug administration. Muscle atrophy models also include in vitro and small organism models. Despite their value, each of these models has certain limitations. This review focuses on the limitations and diverse applications of muscle atrophy models to understand sarcopenia and cachexia, and encourage their rational use in future research, therefore deepening the understanding of underlying pathophysiological mechanisms, and ultimately advancing the exploration of therapeutic strategies for sarcopenia and cachexia.
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Affiliation(s)
- Gongchang Zhang
- Geriatric Health Care and Medical Research Center West China Hospital, Sichuan University Chengdu Sichuan Province China
- National Clinical Research Center for Geriatrics West China Hospital, Sichuan University Chengdu Sichuan Province China
| | - Fengjuan Hu
- Geriatric Health Care and Medical Research Center West China Hospital, Sichuan University Chengdu Sichuan Province China
- National Clinical Research Center for Geriatrics West China Hospital, Sichuan University Chengdu Sichuan Province China
| | - Tingting Huang
- National Clinical Research Center for Geriatrics West China Hospital, Sichuan University Chengdu Sichuan Province China
| | - Xiaoqing Ma
- Longkou People Hospital Longkou Shandong Province China
| | - Ying Cheng
- Geriatric Health Care and Medical Research Center West China Hospital, Sichuan University Chengdu Sichuan Province China
- National Clinical Research Center for Geriatrics West China Hospital, Sichuan University Chengdu Sichuan Province China
| | - Xiaolei Liu
- Geriatric Health Care and Medical Research Center West China Hospital, Sichuan University Chengdu Sichuan Province China
- National Clinical Research Center for Geriatrics West China Hospital, Sichuan University Chengdu Sichuan Province China
| | - Wenzhou Jiang
- Longkou People Hospital Longkou Shandong Province China
| | - Birong Dong
- Geriatric Health Care and Medical Research Center West China Hospital, Sichuan University Chengdu Sichuan Province China
- National Clinical Research Center for Geriatrics West China Hospital, Sichuan University Chengdu Sichuan Province China
| | - Chenying Fu
- Geriatric Health Care and Medical Research Center West China Hospital, Sichuan University Chengdu Sichuan Province China
- National Clinical Research Center for Geriatrics West China Hospital, Sichuan University Chengdu Sichuan Province China
- Department of Laboratory of Aging and Geriatric Medicine National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Chengdu Sichuan Province China
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Zhao Z, Guo D, Wei Y, Li J, Jia X, Niu Y, Liu Z, Bai Y, Chen Z, Shi B, Zhang X, Hu J, Wang J, Liu X, Li S. Integrative ATAC-seq and RNA-seq Analysis of the Longissimus Dorsi Muscle of Gannan Yak and Jeryak. Int J Mol Sci 2024; 25:6029. [PMID: 38892214 PMCID: PMC11172533 DOI: 10.3390/ijms25116029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
Jeryak is the F1 generation of the cross between Gannan yak and Jersey cattle, which has the advantages of fast growth and high adaptability. The growth and development of skeletal muscle is closely linked to meat production and the quality of meat. However, the molecular regulatory mechanisms of muscle growth differences between Gannan yak and Jeryak analyzed from the perspective of chromatin opening have not been reported. In this study, ATAC-seq was used to analyze the difference of chromatin openness in longissimus muscle of Gannan yak and Jeryak. It was found that chromatin accessibility was more enriched in Jeryak compared to Gannan yak, especially in the range of the transcription start site (TSS) ± 2 kb. GO and KEGG enrichment analysis indicate that differential peak-associated genes are involved in the negative regulation of muscle adaptation and the Hippo signaling pathway. Integration analysis of ATAC-seq and RNA-seq revealed overlapping genes were significantly enriched during skeletal muscle cell differentiation and muscle organ morphogenesis. At the same time, we screened FOXO1, ZBED6, CRY2 and CFL2 for possible involvement in skeletal muscle development, constructed a genes and transcription factors network map, and found that some transcription factors (TFs), including YY1, KLF4, KLF5 and Bach1, were involved in skeletal muscle development. Overall, we have gained a comprehensive understanding of the key factors that impact skeletal muscle development in various breeds of cattle, providing new insights for future analysis of the molecular regulatory mechanisms involved in muscle growth and development.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Jiang Hu
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, Faculty of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730000, China; (Z.Z.); (D.G.); (Y.W.); (J.L.); (X.J.); (Y.N.); (Z.L.); (Y.B.); (Z.C.); (B.S.); (X.Z.); (J.W.); (X.L.); (S.L.)
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Wang J, Liu J, Lei Q, Liu Z, Han H, Zhang S, Qi C, Liu W, Li D, Li F, Cao D, Zhou Y. Elucidation of the genetic determination of body weight and size in Chinese local chicken breeds by large-scale genomic analyses. BMC Genomics 2024; 25:296. [PMID: 38509464 PMCID: PMC10956266 DOI: 10.1186/s12864-024-10185-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 03/04/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Body weight and size are important economic traits in chickens. While many growth-related quantitative trait loci (QTLs) and candidate genes have been identified, further research is needed to confirm and characterize these findings. In this study, we investigate genetic and genomic markers associated with chicken body weight and size. This study provides new insights into potential markers for genomic selection and breeding strategies to improve meat production in chickens. METHODS We performed whole-genome resequencing of and Wenshang Barred (WB) chickens (n = 596) and three additional breeds with varying body sizes (Recessive White (RW), WB, and Luxi Mini (LM) chickens; (n = 50)). We then used selective sweeps of mutations coupled with genome-wide association study (GWAS) to identify genomic markers associated with body weight and size. RESULTS We identified over 9.4 million high-quality single nucleotide polymorphisms (SNPs) among three chicken breeds/lines. Among these breeds, 287 protein-coding genes exhibited positive selection in the RW and WB populations, while 241 protein-coding genes showed positive selection in the LM and WB populations. Genomic heritability estimates were calculated for 26 body weight and size traits, including body weight, chest breadth, chest depth, thoracic horn, body oblique length, keel length, pelvic width, shank length, and shank circumference in the WB breed. The estimates ranged from 0.04 to 0.67. Our analysis also identified a total of 2,522 genome-wide significant SNPs, with 2,474 SNPs clustered around two genomic regions. The first region, located on chromosome 4 (7.41-7.64 Mb), was linked to body weight after ten weeks and body size traits. LCORL, LDB2, and PPARGC1A were identified as candidate genes in this region. The other region, located on chromosome 1 (170.46-171.53 Mb), was associated with body weight from four to eighteen weeks and body size traits. This region contained CAB39L and WDFY2 as candidate genes. Notably, LCORL, LDB2, and PPARGC1A showed highly selective signatures among the three breeds of chicken with varying body sizes. CONCLUSION Overall this study provides a comprehensive map of genomic variants associated with body weight and size in chickens. We propose two genomic regions, one on chromosome 1 and the other on chromosome 4, that could helpful for developing genome selection breeding strategies to enhance meat yield in chickens.
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Affiliation(s)
- Jie Wang
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Jie Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Qiuxia Lei
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Zhihe Liu
- Sichuan agricultural university college of animal science and technology, Chengdu, 611130, China
| | - Haixia Han
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Shuer Zhang
- Shandong Animal Husbandry General Station, Jinan, 250023, China
| | - Chao Qi
- Shandong Animal Husbandry General Station, Jinan, 250023, China
| | - Wei Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Dapeng Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Fuwei Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Dingguo Cao
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China
| | - Yan Zhou
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250023, China.
- Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan, Shandong, 250023, China.
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Roman A, Huntemer-Silveira A, Waldron MA, Khalid Z, Blake J, Parr AM, Low WC. Cell Transplantation for Repair of the Spinal Cord and Prospects for Generating Region-Specific Exogenic Neuronal Cells. Cell Transplant 2024; 33:9636897241241998. [PMID: 38590295 PMCID: PMC11005494 DOI: 10.1177/09636897241241998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/05/2024] [Accepted: 03/11/2024] [Indexed: 04/10/2024] Open
Abstract
Spinal cord injury (SCI) is associated with currently irreversible consequences in several functional components of the central nervous system. Despite the severity of injury, there remains no approved treatment to restore function. However, with a growing number of preclinical studies and clinical trials, cell transplantation has gained significant potential as a treatment for SCI. Researchers have identified several cell types as potential candidates for transplantation. To optimize successful functional outcomes after transplantation, one key factor concerns generating neuronal cells with regional and subtype specificity, thus calling on the developmental transcriptome patterning of spinal cord cells. A potential source of spinal cord cells for transplantation is the generation of exogenic neuronal progenitor cells via the emerging technologies of gene editing and blastocyst complementation. This review highlights the use of cell transplantation to treat SCI in the context of relevant developmental gene expression patterns useful for producing regionally specific exogenic spinal cells via in vitro differentiation and blastocyst complementation.
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Affiliation(s)
- Alex Roman
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Department of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN, USA
| | - Anne Huntemer-Silveira
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Madison A. Waldron
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Zainab Khalid
- Department of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN, USA
| | - Jeffrey Blake
- Department of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN, USA
| | - Ann M. Parr
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Department of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN, USA
| | - Walter C. Low
- Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN, USA
- Department of Neurosurgery, Stem Cell Institute, University of Minnesota, Minneapolis, MN, USA
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