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Ethnicity-Specific Skeletal Muscle Transcriptional Signatures and Their Relevance to Insulin Resistance in Singapore
ALM. Tan, SR. Langley, CF. Tan, JF. Chai, CM. Khoo, MK. Leow, EYH. Khoo, A. Moreno-Moral, M. Pravenec, M. Rotival, SA. Sadananthan, SS. Velan, K. Venkataraman, YS. Chong, YS. Lee, X. Sim, W. Stunkel, MH. Liu, ES. Tai, E. Petretto,
Language English Country United States
Document type Comparative Study, Journal Article, Research Support, Non-U.S. Gov't
NLK
Free Medical Journals
from 1997 to 1 year ago
ProQuest Central
from 2017-01-01 to 2020-12-31
Health & Medicine (ProQuest)
from 2017-01-01 to 2020-12-31
PubMed
30137523
DOI
10.1210/jc.2018-00309
Knihovny.cz E-resources
- MeSH
- Genome-Wide Association Study MeSH
- Adult MeSH
- Ethnicity genetics MeSH
- Body Mass Index MeSH
- Insulin Resistance ethnology genetics MeSH
- Cohort Studies MeSH
- Muscle, Skeletal metabolism MeSH
- Humans MeSH
- Young Adult MeSH
- Signal Transduction genetics MeSH
- Gene Expression Profiling MeSH
- Transcriptome * MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Comparative Study MeSH
- Geographicals
- Singapore MeSH
Context: Insulin resistance (IR) and obesity differ among ethnic groups in Singapore, with the Malays more obese yet less IR than Asian-Indians. However, the molecular basis underlying these differences is not clear. Objective: As the skeletal muscle (SM) is metabolically relevant to IR, we investigated molecular pathways in SM that are associated with ethnic differences in IR, obesity, and related traits. Design, Setting, and Main Outcome Measures: We integrated transcriptomic, genomic, and phenotypic analyses in 156 healthy subjects representing three major ethnicities in the Singapore Adult Metabolism Study. Patients: This study contains Chinese (n = 63), Malay (n = 51), and Asian-Indian (n = 42) men, aged 21 to 40 years, without systemic diseases. Results: We found remarkable diversity in the SM transcriptome among the three ethnicities, with >8000 differentially expressed genes (40% of all genes expressed in SM). Comparison with blood transcriptome from a separate Singaporean cohort showed that >95% of SM expression differences among ethnicities were unique to SM. We identified a network of 46 genes that were specifically downregulated in Malays, suggesting dysregulation of components of cellular respiration in SM of Malay individuals. We also report 28 differentially expressed gene clusters, four of which were also enriched for genes that were found in genome-wide association studies of metabolic traits and disease and correlated with variation in IR, obesity, and related traits. Conclusion: We identified extensive gene-expression changes in SM among the three Singaporean ethnicities and report specific genes and molecular pathways that might underpin and explain the differences in IR among these ethnic groups.
Duke National University of Singapore Medical School Singapore
Experimental Biotherapeutics Centre Agency for Science Technology and Research Singapore
Institute Of Physiology Czech Academy Of Sciences Prague Czech Republic
Saw Swee Hock School of Public Health National University of Singapore Singapore
Singapore Institute for Clinical Sciences Agency for Science Technology and Research Singapore
Unit of Human Evolutionary Genetics Institut Pasteur Paris France
References provided by Crossref.org
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