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Journal of Endocrinological Investigation

Erschienen in:

01.12.2022 | Original Article

Sex-specific metabolic risk factors and their trajectories towards the non-alcoholic fatty liver disease incidence

verfasst von: C. Tong, Q. Li, L. Kong, X. Ni, A. Halengbieke, S. Zhang, Z. Wu, L. Tao, Y. Han, D. Zheng, X. Guo, X. Yang

Erschienen in: Journal of Endocrinological Investigation | Ausgabe 12/2022

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Abstract

Purpose

Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease. This study examined sex-specific associations between NAFLD and metabolic factors and investigated the trajectory of risk factors.

Methods

We retrospectively investigated 16,140 individuals from Beijing Health Management Cohort. Univariate and multivariate time-dependent Cox regression analyses were performed to identify independent risk factors for new-onset NAFLD. The trajectory of risk factors was investigated using the latent growth curve model and growth mixture model.

Results

Over a median follow-up of 3.15 years, 2,450 (15.18%) participants developed NAFLD. The risk factors for NAFLD in men were increased body mass index (BMI); waist circumference (WC); triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), haemoglobin (Hb), and serum uric acid (SUA) levels; and platelet (PLT) count and decreased serum creatinine-to-body weight (sCr/bw) and high-density lipoprotein cholesterol (HDL-C) levels. In women, the risk factors were increased BMI, WC, and fasting plasma glucose (FPG), TG, LDL-C, SUA, white blood cell (WBC), and PLT and decreased sCr/bw and HDL-C levels. In addition, BMI, LDL-C, sCr/bw and PLT changing trajectories were associated with NAFLD in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends was associated with NAFLD risk in women.

Conclusions

Development of NAFLD is associated with BMI, LDL-C, sCr/bw and PLT changing trajectories in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends are associated an increased risk of NAFLD in women. Deterioration of metabolic risk factors status can be a predictor of NAFLD many years before its occurrence.

Nur mit Berechtigung zugänglich

Day CP (2011) Non-alcoholic fatty liver disease: a massive problem. Clin Med (Lond Engl) 11(2):176–178. https://doi.org/10.7861/clinmedicine.11-2-176CrossRef

Long MT, Massaro JM, Hoffmann U, Benjamin EJ, Naimi TS (2020) Alcohol use is associated with hepatic steatosis among persons with presumed nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol Off Clin Pract J Am Gastroenterol Assoc 18(8):1831-1841.e1835. https://doi.org/10.1016/j.cgh.2019.11.022CrossRef

Kanwal F, Kramer JR, Mapakshi S et al (2018) Risk of hepatocellular cancer in patients with non-alcoholic fatty liver disease. Gastroenterology 155(6):1828-1837.e1822. https://doi.org/10.1053/j.gastro.2018.08.024CrossRefPubMed

Roh JH, Lee JH, Lee H et al (2019) Association between non-alcoholic fatty liver disease and risk of new-onset atrial fibrillation in healthy adults. Liver Int Off J Int Assoc Study Liver 40(2):338–346. https://doi.org/10.1111/liv.14236CrossRef

Sung KC, Seo DC, Lee SJ, Lee MY, Wild SH, Byrne CD (2019) Non alcoholic fatty liver disease and risk of incident diabetes in subjects who are not obese. Nutr Metab Cardiovasc Dis NMCD 29(5):489–495. https://doi.org/10.1016/j.numecd.2019.01.016CrossRefPubMed

van den Berg EH, Flores-Guerrero JL, Gruppen EG et al (2019) Non-alcoholic fatty liver disease and risk of incident type 2 diabetes: role of circulating branched-chain amino acids. Nutrients. https://doi.org/10.3390/nu11030705CrossRefPubMedPubMedCentral

Kaps L, Labenz C, Galle PR, Weinmann-Menke J, Kostev K, Schattenberg JM (2020) Non-alcoholic fatty liver disease increases the risk of incident chronic kidney disease. Unit Eur Gastroenterol J 8(8):942–948. https://doi.org/10.1177/2050640620944098CrossRef

Musso G, Gambino R, Tabibian JH et al (2014) Association of non-alcoholic fatty liver disease with chronic kidney disease: a systematic review and meta-analysis. PLoS Med 11(7):e1001680. https://doi.org/10.1371/journal.pmed.1001680CrossRefPubMedPubMedCentral

Kim GA, Lee HC, Choe J et al (2018) Association between non-alcoholic fatty liver disease and cancer incidence rate. J Hepatol. https://doi.org/10.1016/j.jhep.2017.09.012CrossRefPubMedPubMedCentral

10.

Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M (2016) Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatol (Baltim Md) 64(1):73–84. https://doi.org/10.1002/hep.28431CrossRef

11.

Zhou F, Zhou J, Wang W et al (2019) unexpected rapid increase in the burden of NAFLD in China from 2008 to 2018: a systematic review and meta-analysis. Hepatol (Baltim Md) 70(4):1119–1133. https://doi.org/10.1002/hep.30702CrossRef

12.

Lonardo A, Nascimbeni F, Ballestri S et al (2019) Sex differences in nonalcoholic fatty liver disease: state of the art and identification of research gaps. Hepatol (Baltim, Md) 70(4):1457–1469. https://doi.org/10.1002/hep.30626CrossRef

13.

Bayrak M (2020) Non-invasive diagnosis of nonalcoholic fatty liver disease: impact of age and other risk factors. Aging Male Off J Int Soc Study Aging Male 23(5):1275–1282. https://doi.org/10.1080/13685538.2020.1763293CrossRef

14.

Xu C, Yu C, Ma H, Xu L, Miao M, Li Y (2013) Prevalence and risk factors for the development of nonalcoholic fatty liver disease in a nonobese Chinese population: the Zhejiang Zhenhai Study. Am J Gastroenterol 108(8):1299–1304. https://doi.org/10.1038/ajg.2013.104CrossRefPubMed

15.

Sung KC, Kim BS, Cho YK et al (2012) Predicting incident fatty liver using simple cardio-metabolic risk factors at baseline. BMC Gastroenterol 12:84. https://doi.org/10.1186/1471-230x-12-84CrossRefPubMedPubMedCentral

16.

Wang S, Zhang C, Zhang G et al (2016) Association between white blood cell count and non-alcoholic fatty liver disease in urban Han Chinese: a prospective cohort study. BMJ open 6(6):e010342. https://doi.org/10.1136/bmjopen-2015-010342CrossRefPubMedPubMedCentral

17.

Ma Z, Xu C, Kang X et al (2020) Changing trajectories of serum uric acid and risk of non-alcoholic fatty liver disease: a prospective cohort study. J Transl Med 18(1):133. https://doi.org/10.1186/s12967-020-02296-xCrossRefPubMedPubMedCentral

18.

VanWagner LB, Khan SS, Ning H et al (2018) Body mass index trajectories in young adulthood predict non-alcoholic fatty liver disease in middle age: the CARDIA cohort study. Liver Int Off J Int Assoc Study Liver 38(4):706–714. https://doi.org/10.1111/liv.13603CrossRef

19.

Liu J, Zhao Z, Mu Y et al (2018) Gender differences in the association between serum uric acid and prediabetes: a 6-year longitudinal cohort study. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph15071560CrossRefPubMedPubMedCentral

20.

Zhang WZ (2019) Intensified, optimized and standardized management of Chinese patients with hypertension: Comments on “2018 Chinese Guidelines for Prevention and Treatment of Hypertension.” J Geriatr Cardiol 16(3):178–181. https://doi.org/10.11909/j.issn.1671-5411.2019.03.013CrossRefPubMedPubMedCentral

21.

Xiong R, Zhao C, Zhong M, Zhang X, Liu W (2020) Effects of Shenqi compound on intestinal microbial metabolites in patients with type 2 diabetes: a protocol for systematic review and meta analysis. Medicine 99(48):e23017. https://doi.org/10.1097/md.0000000000023017CrossRefPubMedPubMedCentral

22.

Krane V, Genser B, Kleber ME et al (2017) Copeptin associates with cause-specific mortality in patients with impaired renal function: results from the LURIC and the 4D study. Clin Chem 63(5):997–1007. https://doi.org/10.1373/clinchem.2016.266254CrossRefPubMed

23.

Zhang Z, Reinikainen J, Adeleke KA, Pieterse ME, Groothuis-Oudshoorn CGM (2018) Time-varying covariates and coefficients in Cox regression models. Ann Transl Med 6(7):121. https://doi.org/10.21037/atm.2018.02.12CrossRefPubMedPubMedCentral

24.

Chung S, Kim MS, Kwock CK (2019) Dietary patterns may be nonproportional hazards for the incidence of type 2 diabetes: evidence from korean adult females. Nutrients. https://doi.org/10.3390/nu11102522CrossRefPubMedPubMedCentral

25.

Burant CJ (2016) Latent growth curve models: tracking changes over time. Int J Aging Human Dev 82(4):336–350. https://doi.org/10.1177/0091415016641692CrossRef

26.

Svegliati-Baroni G, Pierantonelli I, Torquato P et al (2019) Lipidomic biomarkers and mechanisms of lipotoxicity in non-alcoholic fatty liver disease. Free Rad Biol Med 144:293–309. https://doi.org/10.1016/j.freeradbiomed.2019.05.029CrossRefPubMed

27.

Gariani K, Philippe J, Jornayvaz FR (2013) Non-alcoholic fatty liver disease and insulin resistance: from bench to bedside. Diabet Metab 39(1):16–26. https://doi.org/10.1016/j.diabet.2012.11.002CrossRef

28.

Hu H, Kawasaki Y, Kuwahara K et al (2020) Trajectories of body mass index and waist circumference before the onset of diabetes among people with prediabetes. Clin Nutr (Edinb Scotl) 39(9):2881–2888. https://doi.org/10.1016/j.clnu.2019.12.023CrossRef

29.

Xu J, Zhang R, Guo R et al (2021) Trajectories of body mass index and risk of incident hypertension among a normal body mass index population: a prospective cohort study. J Clin Hyperten (Greenw Conn) 23(6):1212–1220. https://doi.org/10.1111/jch.14241CrossRef

30.

Yun HR, Kim HW, Chang TI et al (2021) Increased risk of chronic kidney disease associated with weight gain in healthy adults: insight from metabolic profiles and body composition. Front Med 8:705881. https://doi.org/10.3389/fmed.2021.705881CrossRef

31.

Al-Mahmood A, Ismail A, Rashid F, Mohamed W (2006) Isolated hypertriglyceridemia: an insulin-resistant state with or without low HDL cholesterol. J Atherosc Thromb 13(3):143–148. https://doi.org/10.5551/jat.13.143CrossRef

32.

Okamura T, Hashimoto Y, Hamaguchi M, Obora A, Kojima T, Fukui M (2019) Creatinine-to-bodyweight ratio is a predictor of incident non-alcoholic fatty liver disease: a population-based longitudinal study. Hepatol Res Off J Jpn Soc Hepatol 50(1):57–66. https://doi.org/10.1111/hepr.13429CrossRef

33.

Ahanchi NS, Tamehri Zadeh SS, Khalili D, Azizi F, Hadaegh F (2021) Sex specific trajectories of central adiposity, lipid indices, and glucose level with incident hypertension: 12 years Follow-up in Tehran lipid and glucose study. J Transl Med 19(1):84. https://doi.org/10.1186/s12967-021-02749-xCrossRefPubMedPubMedCentral

34.

Ahmadi N, Valizadeh M, Hadaegh F et al (2021) Metabolic risk factors among prediabetic individuals and the trajectory toward the diabetes incidence. J Diabet 13(11):905–914. https://doi.org/10.1111/1753-0407.13205CrossRef

35.

Cao Y, Deng Y, Wang J, Zhao H, Zhang J, Xie W (2021) The association between NAFLD and risk of chronic kidney disease: a cross-sectional study. Thera Adv Chronic Dis. https://doi.org/10.1177/20406223211048649CrossRef

36.

Ciardullo S, Grassi G, Mancia G, Perseghin G (2021) Nonalcoholic fatty liver disease and risk of incident hypertension: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol 34(4):365–371. https://doi.org/10.1097/meg.0000000000002299CrossRefPubMedCentral

37.

Ciardullo S, Monti T, Grassi G, Mancia G, Perseghin G (2021) Blood pressure, glycemic status and advanced liver fibrosis assessed by transient elastography in the general United States population. J Hyperten 39(8):1621–1627. https://doi.org/10.1097/hjh.0000000000002835CrossRef

38.

Targher G, Corey KE, Byrne CD, Roden M (2021) The complex link between NAFLD and type 2 diabetes mellitus—mechanisms and treatments. Nat Rev Gastroenterol Hepatol 18(9):599–612. https://doi.org/10.1038/s41575-021-00448-yCrossRefPubMed

Titel: Sex-specific metabolic risk factors and their trajectories towards the non-alcoholic fatty liver disease incidence
verfasst von: C. Tong
Q. Li
L. Kong
X. Ni
A. Halengbieke
S. Zhang
Z. Wu
L. Tao
Y. Han
D. Zheng
X. Guo
X. Yang
Publikationsdatum: 01.12.2022
Verlag: Springer International Publishing
Erschienen in: Journal of Endocrinological Investigation / Ausgabe 12/2022
Elektronische ISSN: 1720-8386
DOI: https://doi.org/10.1007/s40618-022-01848-w

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Sex-specific metabolic risk factors and their trajectories towards the non-alcoholic fatty liver disease incidence