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Presence of sarcopenia identifies a special group of lean NAFLD in middle-aged and older people

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Abstract

Background

Sarcopenia, the age-related loss of muscle mass and function, is closely associated and frequently concomitant with non-alcoholic fatty liver disease (NAFLD). We aimed to investigate the clinical features of the sarcopenic NAFLD patients from middle-aged and older people.

Methods

A total of 1305 patients with NAFLD from the Shanghai Changfeng Study were included for analysis. Sarcopenia was diagnosed based on the height-adjusted appendicular skeletal muscle mass (ASM/height2). We comprehensively analyzed the metabolic phenotype, carotid artery condition, liver fibrosis score, and serum metabolomic profile of each participant.

Results

Among the middle-aged and older population, 68.1% of patients with sarcopenia and NAFLD were lean. Sarcopenia was independently associated with increased risk of carotid plaque (OR, 2.22; 95%CI 1.23–4.02) and liver fibrosis (OR, 2.07; 95%CI 1.24–3.44), and the sarcopenic lean NAFLD patients were characterized by a higher risk of carotid plaque (p = 0.008) and liver fibrosis (p = 0.001) than the non-sarcopenic lean NAFLD patients, despite their lower BMI and similar prevalence of metabolic syndrome and diabetes. Further serum metabolomic examination indicated that the sarcopenic lean NAFLD patients presented a distinct metabolomic profile prone to carotid plaque and liver fibrosis, with upregulated serum valine, N-acetylneuraminyl-glycoproteins, lactic acid, small LDL triglycerides and VLDL5 components, and reduced components of HDL4. A sarcopenic characterization score based on above metabolites was established and could also predict increased risk of carotid plaque and liver fibrosis.

Conclusion

The presence of sarcopenia identifies a special subgroup of lean NAFLD with increased risk of cardiovascular disease and liver fibrosis clinically.

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Abbreviations

ALT:

Alanine transaminase

ApoA1:

Apolipoprotein A1

ApoA2:

Apolipoprotein A2

ApoB:

Apolipoprotein B100

ASM/height2 :

Height-adjusted appendicular skeletal muscle mass

AST:

Aspartate transaminase

AWGS:

Asian working group for sarcopenia

BMI:

Body mass index

CE:

Cholesterol esters

DBP:

Diastolic blood pressure

DXA:

Dual-energy X-ray absorptiometry

FC:

Free cholesterol

FDR:

False discovery rate

FIB-4:

Fibrosis 4 score

FPG:

Fasting plasma glucose

HDL:

High-density lipoprotein

HOMA-IR:

Homeostasis model assessment for insulin resistance

hs-CRP:

High-sensitivity C-reactive protein

HR:

Hazard ratio

ICD-10:

The 10th revision of international classification of diseases

IDL:

Intermediate density lipoprotein

LDL:

Low-density lipoprotein

LFC:

Liver fat content

NAFLD:

Non-alcoholic fatty liver disease

NAG:

N-acetyl-glycoproteins

NAG1:

N-acetylglucosamine/galactosamine-glycoproteins

NAG2:

N-acetylneuraminyl-glycoproteins

NASH:

Non-alcoholic steatohepatitis

NHANES III.:

Third National Health and Nutrition Examination Survey

OGTT:

Oral glucose tolerance test

OR:

Odds ratio

PPG:

Post-load plasma glucose

PL:

Phospholipids

SBP:

Systolic blood pressure

TC:

Total cholesterol

TG:

Triglycerides

VLDL:

Very low-density lipoprotein

1H-NMR:

1-H nuclear magnetic resonance spectroscopy

95%CI:

95% Confidence interval

References

  1. Younossi ZM. Non-alcoholic fatty liver disease—a global public health perspective. J Hepatol. 2019;70(3):531–544

    Article  PubMed  Google Scholar 

  2. Yki-Järvinen H. Non-alcoholic fatty liver disease as a cause and a consequence of metabolic syndrome. Lancet Diabetes Endocrinol. 2014;2(11):901–910

    Article  PubMed  Google Scholar 

  3. Younossi ZM, Stepanova M, Younossi Y, Golabi P, Mishra A, Rafiq N, et al. Epidemiology of chronic liver diseases in the USA in the past three decades. Gut. 2020;69:564–568

    Article  PubMed  Google Scholar 

  4. Estes C, Anstee QM, Arias-Loste MT, Bantel H, Bellentani S, Caballeria J, et al. Modeling NAFLD disease burden in China, France, Germany, Italy, Japan, Spain, United Kingdom, and United States for the period 2016–2030. J Hepatol. 2018;69(4):896–904

    Article  PubMed  Google Scholar 

  5. Wong VW, Chu WC, Wong GL, Chan RS, Chim AM, Ong A, et al. Prevalence of non-alcoholic fatty liver disease and advanced fibrosis in Hong Kong Chinese: a population study using proton-magnetic resonance spectroscopy and transient elastography. Gut. 2012;61(3):409–415

    Article  PubMed  Google Scholar 

  6. Younossi ZM, Blissett D, Blissett R, Henry L, Stepanova M, Younossi Y, et al. The economic and clinical burden of nonalcoholic fatty liver disease in the United States and Europe. Hepatology. 2016;64(5):1577–1586

    Article  PubMed  Google Scholar 

  7. Zou B, Yeo YH, Nguyen VH, Cheung R, Ingelsson E, Nguyen MH. Prevalence, characteristics and mortality outcomes of obese, nonobese and lean NAFLD in the United States, 1999–2016. J Intern Med. 2020;288(1):139–151

    Article  CAS  PubMed  Google Scholar 

  8. Shi Y, Wang Q, Sun Y, Zhao X, Kong Y, Ou X, et al. The prevalence of lean/nonobese nonalcoholic fatty liver disease: a systematic review and meta-analysis. J Clin Gastroenterol. 2020;54(4):378–387

    Article  PubMed  Google Scholar 

  9. Sookoian S, Pirola CJ. Systematic review with meta-analysis: risk factors for non-alcoholic fatty liver disease suggest a shared altered metabolic and cardiovascular profile between lean and obese patients. Aliment Pharmacol Ther. 2017;46(2):85–95

    Article  CAS  PubMed  Google Scholar 

  10. Ye Q, Zou B, Yeo YH, Li J, Huang DQ, Wu Y, et al. Global prevalence, incidence, and outcomes of non-obese or lean non-alcoholic fatty liver disease: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2020;5(8):739–752

    Article  PubMed  Google Scholar 

  11. Xia MF, Chen LY, Wu L, Ma H, Li Q, Aleteng Q, et al. The PNPLA3 rs738409 C>G variant influences the association between low skeletal muscle mass and NAFLD: the Shanghai Changfeng Study. Aliment Pharmacol Ther. 2019;50(6):684–695

    Article  CAS  PubMed  Google Scholar 

  12. Hong HC, Hwang SY, Choi HY, Yoo HJ, Seo JA, Kim SG, et al. Relationship between sarcopenia and nonalcoholic fatty liver disease: the Korean sarcopenic obesity study. Hepatology. 2014;59:1772–1778

    Article  CAS  PubMed  Google Scholar 

  13. Koo BK, Kim D, Joo SK, Kim JH, Chang MS, Kim BG, et al. Sarcopenia is an independent risk factor for non-alcoholic steatohepatitis and significant fibrosis. J Hepatol. 2017;66:123–131

    Article  PubMed  Google Scholar 

  14. Petta S, Ciminnisi S, Di Marco V, Cabibi D, Cammà C, Licata A, et al. Sarcopenia is associated with severe liver fibrosis in patients with non-alcoholic fatty liver disease. Aliment Pharmacol Ther. 2017;45:510–518

    Article  CAS  PubMed  Google Scholar 

  15. Xia M, Zeng H, Wang S, Tang H, Gao X. Insights into contribution of genetic variants towards the susceptibility of MAFLD revealed by the NMR-based lipoprotein profiling. J Hepatol. 2021;74(4):974–977

    Article  CAS  PubMed  Google Scholar 

  16. Xia MF, Yan HM, He WY, Li XM, Li CL, Yao XZ, et al. Standardized ultrasound hepatic/renal ratio and hepatic attenuation rate to quantify liver fat content: an improvement method. Obesity (Silver Spring). 2012;20:444–452

    Article  CAS  PubMed  Google Scholar 

  17. Stein JH, Korcarz CE, Hurst RT, Lonn E, Kendall CB, Mohler ER, et al. Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American society of echocardiography carotid intima-media thickness task force. Endorsed by the society for vascular medicine. J Am Soc Echocardiogr. 2008;21(2):93–111

    Article  PubMed  Google Scholar 

  18. Jiménez B, Holmes E, Heude C, Tolson RF, Harvey N, Lodge SL, et al. Quantitative lipoprotein subclass and low molecular weight metabolite analysis in human serum and plasma by 1 H NMR spectroscopy in a multilaboratory trial. Anal Chem. 2018;90(20):11962–11971

    Article  PubMed  Google Scholar 

  19. Xia MF, Ma S, Huang QX, Zeng HL, Ge JY, Xu WJ, et al. NAFLD-related gene polymorphisms and all-cause and cause-specific mortality in an Asian population: the Shanghai Changfeng Study. Aliment Pharmacol Ther. 2022;55(6):705–721

    Article  CAS  PubMed  Google Scholar 

  20. European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD), European Association for the Study of Obesity. EASL-EASD-EASO clinical practice guidelines for the management of non-alcoholic fatty liver disease. J Hepatol. 2016;64(6):1388–402

    Article  Google Scholar 

  21. Chen LK, Liu LK, Woo J, Assantachai P, Auyeung TW, Bahyah KS, et al. Sarcopenia in Asia: consensus report of the Asian working group for sarcopenia. J Am Med Dir Assoc. 2014;15(2):95–101

    Article  PubMed  Google Scholar 

  22. Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019;393(10191):2636–2646

    Article  PubMed  Google Scholar 

  23. Bhanji RA, Narayanan P, Allen AM, Malhi H, Watt KD. Sarcopenia in hiding: the risk and consequence of underestimating muscle dysfunction in nonalcoholic steatohepatitis. Hepatology. 2017;66(6):2055–2065

    Article  CAS  PubMed  Google Scholar 

  24. Kim JA, Choi KM. Sarcopenia and fatty liver disease. Hepatol Int. 2019;13(6):674–687

    Article  CAS  PubMed  Google Scholar 

  25. Han YH, Onufer EJ, Huang LH, Sprung RW, Davidson WS, Czepielewski RS, et al. Enterically derived high-density lipoprotein restrains liver injury through the portal vein. Science. 2021;373(6553):eabe6729

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Xie G, Wang X, Wei R, Wang J, Zhao A, Chen T, et al. Serum metabolite profiles are associated with the presence of advanced liver fibrosis in Chinese patients with chronic hepatitis B viral infection. BMC Med. 2020;18(1):144

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Yu D, Richardson NE, Green CL, Spicer AB, Murphy ME, Flores V, et al. The adverse metabolic effects of branched-chain amino acids are mediated by isoleucine and valine. Cell Metab. 2021;33(5):905-922.e6

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Xia MF, Chen LY, Wu L, Ma H, Li XM, Li Q, et al. Sarcopenia, sarcopenic overweight/obesity and risk of cardiovascular disease and cardiac arrhythmia: a cross-sectional study. Clin Nutr. 2021;40(2):571–580

    Article  PubMed  Google Scholar 

  29. Ko BJ, Chang Y, Jung HS, Yun KE, Kim CW, Park HS, et al. Relationship between low relative muscle mass and coronary artery calcification in healthy adults. Arterioscler Thromb Vasc Biol. 2016;36(5):1016–1021

    Article  CAS  PubMed  Google Scholar 

  30. Brown JC, Harhay MO, Harhay MN. Sarcopenia and mortality among a population-based sample of community-dwelling older adults. J Cachexia Sarcopenia Muscle. 2016;7(3):290–298

    Article  PubMed  Google Scholar 

  31. Xu Y, Jiang H, Li L, Chen F, Liu Y, Zhou M, et al. Branched-chain amino acid catabolism promotes thrombosis risk by enhancing tropomodulin-3 propionylation in platelets. Circulation. 2020;142(1):49–64

    Article  CAS  PubMed  Google Scholar 

  32. Yeung S, Zhu Z, Kwok T, Woo J. Serum amino acids patterns and 4-year sarcopenia risk in community-dwelling chinese older adults. Gerontology. 2022;68:736–745

    Article  CAS  PubMed  Google Scholar 

  33. Ma S, Xia M, Gao X. Biomarker discovery in atherosclerotic diseases using quantitative nuclear magnetic resonance metabolomics. Front Cardiovasc Med. 2021;8:681444

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Gong H, Liu Y, Lyu X, Dong L, Zhang X. Lipoprotein subfractions in patients with sarcopenia and their relevance to skeletal muscle mass and function. Exp Gerontol. 2022;159:111668

    Article  CAS  PubMed  Google Scholar 

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Funding

We have obtained financial supports from the Ministry of Science and Technology of China (2018YFE0201603, 2020YFE0201600), the Shanghai Pujiang Talent Project (20PJ1402300), the Shanghai Municipal Science and Technology Major Project (2017SHZDZX01), the Science and Technology Commission of Shanghai Municipality (16JC1400500, 16411954800), the National Natural Science Foundation of China (81873660, 31821002 and 82100849), and Foundations from Zhongshan Hospital, Fudan University (2020ZSLC58, 2021ZSQN07).

Author information

Authors and Affiliations

Authors

Contributions

Study concept and design: MX, XG, HT. Acquisition of data: XZ, QH, SM, LC, QW, LW, XL, HM, QL, QA, MX, HL. Analysis of data: XZ, SM, QH, JG, MX. Technic support and data interpretation: QH, WH. Data management: HL. Manuscript drafting: XZ, MX. Manuscript revision: MX, XG, HT, YH. Obtained funding; XG, HT, MX, XZ. MX and XG are the guarantors of this work and, as such, takes responsibility for the integrity of the work as a whole, from inception to published article.

Corresponding authors

Correspondence to Huiru Tang, Xin Gao or Mingfeng Xia.

Ethics declarations

Conflict of interests

Xiaopeng Zhu declares that there is no duality of interest. Qingxia Huang declares that there is no duality of interest. Shuai Ma declares that there is no duality of interest. Lingyan Chen declares that there is no duality of interest. Qi Wu declares that there is no duality of interest. Li Wu declares that there is no duality of interest. Hui Ma declares that there is no duality of interest. Xiaoming Li declares that there is no duality of interest. Qian Li declares that there is no duality of interest. Qiqige Aleteng declares that there is no duality of interest. Yu Hu declares that there is no duality of interest. Wanyuan He declares that there is no duality of interest. Jian Gao declares that there is no duality of interest. Huandong Lin declares that there is no duality of interest. Huiru Tang declares that there is no duality of interest. Xin Gao declares that there is no duality of interest. Mingfeng Xia declares that there is no duality of interest.

Ethical approval

The study was approved by the Research Ethics Committees of Zhongshan Hospital, Fudan University (No. 2008-119 and B2013-132).

Informed consent

Each participant provided written informed consent.

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Zhu, X., Huang, Q., Ma, S. et al. Presence of sarcopenia identifies a special group of lean NAFLD in middle-aged and older people. Hepatol Int 17, 313–325 (2023). https://doi.org/10.1007/s12072-022-10439-z

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  • DOI: https://doi.org/10.1007/s12072-022-10439-z

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