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Sarcopaenia is associated with NAFLD independently of obesity and insulin resistance: Nationwide surveys (KNHANES 2008–2011)
Open accessAbstract
BACKGROUND & AIMS Although sarcopaenia is associated with obesity-related comorbidities, its influence on non-alcoholic fatty liver disease (NAFLD) or steatohepatitis has not been fully determined. We aimed to investigate the direct relationship between sarcopaenia and NAFLD or steatohepatitis in the general population. METHODS We conducted a cross-sectional study using nationally representative samples of 15,132 subjects from the Korea National Health and Nutrition Examination Surveys 2008-2011. Subjects were defined as having NAFLD when they had higher scores from previously validated NAFLD prediction models such as the hepatic steatosis index, comprehensive NAFLD score and NAFLD liver fat score. BARD and FIB-4 scores were used to define advanced fibrosis in subjects with NAFLD. The skeletal muscle index (SMI) [SMI(%)=total appendicular skeletal muscle mass (kg)/weight (kg)×100] measured by dual-energy X-ray absorptiometry was used to diagnose sarcopaenia with cut points of 32.2% for men and 25.5% for women. RESULTS SMI was inversely correlated with all NAFLD predicting scores (Ps<0.001). After stratification, sarcopaenic subjects had an increased risk of NAFLD regardless of obesity (odds ratios [ORs]=1.55 to 3.02, depending on models; all Ps<0.001) or metabolic syndrome (ORs=1.63 to 4.00, all Ps<0.001). Multiple logistic regression analysis also demonstrated this independent association between sarcopaenia and NAFLD after adjusting for confounding factors related to obesity or insulin resistance (ORs=1.18 to 1.22, all Ps<0.001). Furthermore, among the NAFLD population, subjects with lower SMIs were likely to have advanced fibrosis compared with non-sarcopaenic individuals (BARD and FIB-4: ORs=1.83 and 1.69, respectively; both Ps<0.001). Compared with non-exercised subjects, individuals who exercised regularly had a lower risk of NAFLD (p<0.001), particularly among obese people with well-preserved muscle mass. CONCLUSIONS Sarcopaenia is associated with increased risks of NAFLD and advanced fibrosis, independent of obesity or metabolic control.
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Cites
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491
A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis
Boström, P., Wu, J., Jedrychowski, M. P., Korde, A., Ye, L., Lo, J. C., Rasbach, K. A., Boström, E. A., Choi, J. H., Long, J. Z., et al. (2012) · Nature · doi:10.1038/nature10777 · Cited by 4,810
Steatohepatitis: A tale of two “hits”?
Day, C. P., & James, O. F. W. (1998) · Gastroenterology · doi:10.1016/s0016-5085(98)70599-2 · Cited by 4,285
Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity.
MATTEONI, C., YOUNOSSI, Z., GRAMLICH, T., BOPARAI, N., LIU, Y., & MCCULLOUGH, A. (1999) · Gastroenterology · doi:10.1016/s0016-5085(99)70506-8 · Cited by 3,345
Janssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139 · cited 1×
“[19].”
Anderson, E. J., Lustig, M. E., Boyle, K. E., Woodlief, T. L., Kane, D. A., Lin, C.-T., Price, J. W., Kang, L., Rabinovitch, P. S., Szeto, H. H., et al. (2009) · Journal of Clinical Investigation · doi:10.1172/jci37048 · Cited by 1,253
Age-related and disease-related muscle loss: The effect of diabetes, obesity, and other diseases
Kalyani, R. R., Corriere, M., & Ferrucci, L. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70034-8 · Cited by 1,102 · cited 7×
“Increased insulin resistance, which is a major causative factor of NAFLD [28], can also aggravate sarcopaenia via mitochondrial dysfunction and the degradation of muscle protein by the activation of the ubiquitin-proteasome proteolytic pathway [12].”
BackgroundInfluentialWeight loss, exercise, or both and physical function in obese older adults
Villareal, D. T., Chode, S., Parimi, N., Sinacore, D. R., Hilton, T., Armamento-Villareal, R., Napoli, N., Qualls, C., & Shah, K. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1008234 · Cited by 1,096
Kim, D., Kim, R. W., Kim, H. J., & Therneau, T. M. (2013) · Hepatology · doi:10.1002/hep.26156 · Cited by 772
Cited by
MAFLD: a consensus-driven proposed nomenclature for metabolic associated fatty liver disease
Eslam, M., Sanyal, A. J., George, J., Sanyal, A., Neuschwander-Tetri, B., Tiribelli, C., Kleiner, D. E., Brunt, E., Bugianesi, E., Yki-Järvinen, H., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.11.312 · Cited by 3,286
Definition and Diagnostic Criteria for Sarcopenic Obesity: ESPEN and EASO Consensus Statement
Donini, L. M., Busetto, L., Bischoff, S. C., Cederholm, T., Ballesteros-Pomar, M. D., Batsis, J. A., Bauer, J. M., Boirie, Y., Cruz-Jentoft, A. J., Dicker, D., et al. (2022) · Obesity Facts · doi:10.1159/000521241 · Cited by 1,019
2019 Global NAFLD Prevalence: A Systematic Review and Meta-analysis
Le, M. H., Yeo, Y. H., Li, X., Li, J., Zou, B., Wu, Y., Ye, Q., Huang, D. Q., Zhao, C., Zhang, J., et al. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.12.002 · Cited by 711
Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement
Donini, L. M., Busetto, L., Bischoff, S. C., Cederholm, T., Ballesteros-Pomar, M. D., Batsis, J. A., Bauer, J. M., Boirie, Y., Cruz-Jentoft, A. J., Dicker, D., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2021.11.014 · Cited by 566
Sarcopenia is an independent risk factor for non-alcoholic steatohepatitis and significant fibrosis
Koo, B. K., Kim, D., Joo, S. K., Kim, J. H., Chang, M. S., Kim, B. G., Lee, K. L., & Kim, W. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2016.08.019 · Cited by 440
Donini, L. M., Busetto, L., Bauer, J. M., Bischoff, S., Boirie, Y., Cederholm, T., Cruz-Jentoft, A. J., Dicker, D., Frühbeck, G., Giustina, A., et al. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2019.11.024 · Cited by 326
Bo, T., Gao, L., Yao, Z., Shao, S., Wang, X., Proud, C. G., & Zhao, J. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.04.006 · Cited by 293
Reference Values for Skeletal Muscle Mass – Current Concepts and Methodological Considerations
Walowski, C. O., Braun, W., Maisch, M. J., Jensen, B., Peine, S., Norman, K., Müller, M. J., & Bosy-Westphal, A. (2020) · Nutrients · doi:10.3390/nu12030755 · Cited by 200
Kim, G., Lee, S., Lee, Y., Jun, J. E., Ahn, J., Bae, J. C., Jin, S., Hur, K. Y., Jee, J. H., Lee, M., et al. (2018) · Hepatology · doi:10.1002/hep.30049 · Cited by 198
Self-citationCai, C., Song, X., Chen, Y., Chen, X., & Yu, C. (2020) · Hepatology International · doi:10.1007/s12072-019-09964-1 · Cited by 118
Gortan Cappellari, G., Guillet, C., Poggiogalle, E., Ballesteros Pomar, M. D., Batsis, J. A., Boirie, Y., Breton, I., Frara, S., Genton, L., Gepner, Y., et al. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.02.018 · Cited by 113
Interaction between sarcopenia and nonalcoholic fatty liver disease
Joo, S. K., & Kim, W. (2023) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2022.0358 · Cited by 78
Oh, S., Tsujimoto, T., Kim, B., Uchida, F., Suzuki, H., Iizumi, S., Isobe, T., Sakae, T., Tanaka, K., & Shoda, J. (2021) · JHEP Reports · doi:10.1016/j.jhepr.2021.100253 · Cited by 77
The prevalence of low muscle mass associated with obesity in the USA
Murdock, D. J., Wu, N., Grimsby, J. S., Calle, R. A., Donahue, S., Glass, D. J., Sleeman, M. W., & Sanchez, R. J. (2022) · Skeletal Muscle · doi:10.1186/s13395-022-00309-5 · Cited by 73
Chun, H. S., Lee, M., Lee, H. A., Oh, S. Y., Baek, H. J., Moon, J. W., Kim, Y. J., Lee, J., Kim, H., Kim, H. Y., et al. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.12.043 · Cited by 60
Self-citationThe Impact of Dysmetabolic Sarcopenia Among Insulin Sensitive Tissues: A Narrative Review
Armandi, A., Rosso, C., Caviglia, G. P., Ribaldone, D. G., & Bugianesi, E. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.716533 · Cited by 48
Sarcopenic obesity in fatty liver
Merli, M., Lattanzi, B., & Aprile, F. (2019) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000558 · Cited by 48
Kim, B.-J., Ahn, S. H., Lee, S. H., Hong, S., Hamrick, M. W., Isales, C. M., & Koh, J.-M. (2019) · Aging · doi:10.18632/aging.102068 · Cited by 42
Nonalcoholic fatty liver disease in the over-60s: Impact of sarcopenia and obesity
Wijarnpreecha, K., Panjawatanan, P., Aby, E., Ahmed, A., & Kim, D. (2019) · Maturitas · doi:10.1016/j.maturitas.2019.03.016 · Cited by 32
Osteosarcopenia in NAFLD/MAFLD: an underappreciated clinical problem in chronic liver disease
Musio, A., Perazza, F., Leoni, L., Stefanini, B., Dajti, E., Menozzi, R., Petroni, M. L., Colecchia, A., & Ravaioli, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087517 · Cited by 26
Cho, E. J., Chung, G. E., Yoo, J.-J., Cho, Y., Lee, K. N., Shin, D. W., Kim, Y. J., Yoon, J.-H., Han, K., & Yu, S. J. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02408-7 · Cited by 17
Self-citation
Metadata
- Authors
- Lee, Y.-H., Jung, K. S., Kim, S. U., Yoon, H.-J., Yun, Y. J., Lee, B.-W., Kang, E. S., Han, K.-H., Lee, H. C., & Cha, B.-S.
- Venue
- Journal of Hepatology
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 63
- Issue
- 2
- Pages
- 486-493
- ISSN
- 0168-8278 (ISSN-L)
- OpenAlex
- W2082119880
- Cited by
- 340
- References
- 19
- FWCI
- 14.68
- Type
- journal article
- Language
- en
- Open access
- green
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