- Open Access
Sirtuin3 rs28365927 functional variant confers to the high risk of non-alcoholic fatty liver disease in Chinese Han population
Lipids in Health and Disease volume 20, Article number: 92 (2021)
Non-alcoholic fatty liver disease (NAFLD) is a multifactorial condition associated with aging, insulin resistance, metabolic syndrome, genetic factors and more. Although genetic traits are among the most important risks factors for NAFLD, the understanding of their influence is still quite limited. The present study aimed at identifying novel single nucleotide polymorphisms (SNPs) that may confer a risk for NAFLD in the Han Chinese population.
Based on the “two-hit hypothesis”, candidate SNPs, including Sirtuin3 rs28365927, were genotyped by MassARRAY in B-type ultrasonography-proven NAFLD patients (n = 292) and healthy controls (n = 387).
In a model analysis of individuals matched based on gender and age that compared 223 NAFLD and 223 non-NAFLD patients, the rs28365927 GA + AA genotype was a significant risk factor for the development of NAFLD in a dominant model. Rs28365927 was significantly associated with a higher NAFLD risk in both an additive model (A vs G) and genotypic model (GA vs GG). Among the NAFLD patients, serum levels of total bilirubin (TBIL), DBIL direct bilirubin (DBIL) and glutamic-pyruvic transaminase (ALT) in rs28365927 A allele carriers (GA + AA) were 11.1, 14.7 and 41.5% higher, respectively, than in non-carriers (GG). Furthermore, among the NAFLD patients, the carriers of Rs28365927 allele A were positively correlated with higher ALT levels.
Sirtuin3 rs28365927 functional variant confers to the high risk of non-alcoholic fatty liver disease in Chinese Han population. The rs28365927 A allele significantly increased the ALT levels of NAFLD patients.
Non-alcoholic fatty liver disease (NAFLD) is a common cause of liver-related death that affects a quarter of adults worldwide, with the highest prevalence in the Middle East (31.8%) and South America (30.5%) and the lowest in Africa (13.5%). Furthermore, the prevalence of NAFLD in China is 27.4% . This disease is characterized by an excess accumulation of fat (in the form of triglycerides) in the hepatocytes (> 5% fat content in the liver, referred to as steatosis), leading to non-alcoholic fatty liver . NAFLD includes a broad range of pathologic features, ranging from benign and reversible simple steatosis to more severe non-alcoholic steatohepatitis (NASH), which can progress to fibrosis, cirrhosis and even hepatocellular carcinoma . NAFLD-related diabetes, atherosclerosis and liver disease have significantly increased complications and mortality, posing a serious threat to life and health .
NAFLD is a multifactorial disease with obvious individual susceptibility, and a number of risk factors have been identified, such as metabolic syndrome, sedentary lifestyle, diet, aging, gender, genetic factors and other conditions [2, 5,6,7,8,9,10,11]. Genetic factors are among the most important determinants for individual susceptibility to NAFLD, and great progress has been made in identifying these factors in recent years. For example, rs738409, a functional loss variant of patatin-like phospholipase domain containing 3 (PNPLA3) (I148M), has been associated with the severity of steatosis and fibrosis as well as the presence of NASH . The glucokinase regulator (GCKR) rs780094 (P446L) mutation increases the accumulation of liver fat by stimulating fat generation and glucose uptake . In the Han Chinese population, sterol regulatory element binding transcription factor 2(SREBP-2) rs2228314 carriers of G (CG + GG) may be at an increased risk for NAFLD .
Although considerable progress has been made in the study of individual susceptibilities to NAFLD, much is still unknown. Therefore, identifying novel SNPs that may confer a risk for NAFLD still remains of great significance . The purpose of the current study was to discover new SNPs that contribute to the individual susceptibility risk for NAFLD in the Han Chinese population.
Subjects and methods
The clinical trial was performed in accordance with the principles of the Declaration of Helsinki and its appendices. It was approved by the Medical Ethics Committee of the Department of Clinical Pharmacology, Xiangya Hospital, Central South University (Changsha, China) and was registered with the Chinese Clinical Trial Registry (no. ChiCTR-ROC-15006899). All participants provided written informed consent before participation.
This study recruited 292 NAFLD patients and 387 non-NAFLD patients. Participants were recruited from the Health Management Center of Xiangya Hospital between June 2015 and January 2020. The diagnosis of NAFLD was performed according to the guidelines for the diagnosis and treatment of NAFLD of China (2010), the European Association for the Study of the Liver and the American Association for the Study of Liver Diseases criteria . The inclusion criteria were as follows: B-type ultrasonography of the liver showing normal sonography or hepatic imaging findings consistent with the diagnostic criteria for diffuse fatty liver without other explanations and serum glutamic-pyruvic transaminase (ALT) and/or glutamic oxaloacetic transaminase (AST) and gamma-glutamyltransferase (GGT) levels continuously raised for over half a year in patients with components related to metabolic syndrome with unknown causes. All subjects with other causes of liver disease were excluded, including excess alcohol intake (≥ 20 g/d), viral liver infection, hepatic cyst, liver haemangioma, drug-induced hepatitis, schistosomal liver, liver calcifications, cirrhosis and other liver diseases.
Venous blood samples (3–5 mL/each) were collected from each patient for DNA extraction using disposable venous blood lancets and disposable blood collection tubes. Blood genomic DNA was isolated with a commercial DNA extraction kit (Omega Bio-Tek, GA, USA) according to the manufacturer’s instructions and stored at − 80 °C until use. The participants’ clinical and demographic data, including age, gender, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), waist circumference (WC), hip circumference (HC) and biochemical laboratory parameters, were also recorded (Fig. 1).
Genetic variants selection and genotyping
The genes affecting individual susceptibility risk for NAFLD were selected based on the “two-hit theory”. Among these, seven genes (MTTP, PEMT, FASN, PGC1β, ApoE, mTOR and SLC27A5) were associated with the “first hit”, and 10 genes (PNPLA3, Sirtuin3, CYP2E1, Fas, TLR4, TCF7L2, PPARG, IL6, STAT2 and HIF3A) were associated with the “second hit” (Fig. 2). Further screening was performed for SNPs affecting the functioning of these genes based primarily on the functional mutations identified in the ENCODE database (http://genome.ucsc.edu/ENCODE/) while also meeting a Han Chinese population minor allele frequency of > 0.05 in the 1000 Genomes database, resulting in the selection of a total of 17 candidate functional SNPs to be sent to MassARRAY for sequencing (Table 1).
The odds ratios (ORs) for the candidate SNPs were first analysed by comparing 292 NAFLD patients (177 males and 114 females, mean age 48.89 ± 11.57 years) and 387 non-NAFLD patients (134 males and 251 females, mean age 41.97 ± 12.17 years). Since significant differences in gender and age were found between the two groups, an individual matching based on gender and age was performed for an OR evaluation between 223 NAFLD patients (122 males and 101 females, mean age 47.97 ± 11.01 years) and 223 non-NAFLD patients (122 males and 101 females, mean age 47.37 ± 11.41 years). Statistical analysis was performed using SPSS, version 24.0 (IBM, Chicago, IL, USA). SHEsis for Windows was used to analyse the Hardy-Weinberg equilibrium (HWE) and genotype and allele distributions between the patients and controls . The baseline characteristics of the subjects were compared between the groups using a Student’s t-test if the data were normally distributed and otherwise with a Mann-Whitney U test and reported as mean ± standard deviation. Multiple linear regression analyses were used to assess the interaction between the SNPs and clinical characteristics. The association between the SNPs and NAFLD risk was estimated by computing ORs and 95% confidence intervals (CIs) from the multivariate logistic regression analyses. P < 0.05 was considered as statistically significant.
Sirtuin3 rs28365927 together with gender and age were associated with a risk for NAFLD in the non-matched model
The clinical characteristics of the NAFLD and non-NAFLD patients are shown in Table 2. The NAFLD patients had a higher age, ratio of males to females, BMI, SBP, DBP, WC, HC values and serum levels of ALT, AST, fasting blood-glucose (FBG), low density lipoprotein cholesterin (LDL-c), triglyceride (TG) and total cholesterol (TC) than the non-NAFLD patients (all P < 0.05). In addition, serum levels of high density lipoprotein cholesterol (HDL-c), total protein (TP) and albumin in the NAFLD patients were significantly lower than in the non-NAFLD patients (P < 0.05). No significant differences in the other parameters were observed between the two groups of patients (all P > 0.05).
The allele and genotype distributions of the 17 SNPs in the NAFLD and non-NAFLD groups demonstrate that only the genotype distributions of Sirtuin3 rs28365927 showed significant differences between the two groups (P < 0.05) and the genotype distributions of Sirtuin3 rs28365927 were in accordance with the HWE in both the NAFLD and non-NAFLD patients (all P > 0.05) (Tables 1 and 3).
Based on an analysis using the four genetic models, which includes dominant, recessive, additive and genotypic models, the correlations between NAFLD susceptibility and the genotype distributions of Sirtuin3 rs28365927 were explored further (Table 4). In the unmatched population, the Sirtuin3 rs28365927 GA + AA genotype was a significant risk factor for the development of NAFLD (OR = 1.976, 95%CI: 1.088–3.588, P = 0.025, after adjusting for age, gender and BMI) in the dominant model. There were no significant correlations between Sirtuin3 rs28365927 and NAFLD risk in the recessive and additive models, but there was a significant association between Sirtuin3 rs28365927 and higher NAFLD risk in the genotypic model (OR = 1.600, 95%CI: 1.061–2.415, P = 0.025, after adjusting for age and gender, GA vs GG).
The above results indicate that age, gender and Sirtuin3 rs28365927 were all associated with NAFLD risk.
Sirtuin3 rs28365927 is an independent risk factor for NAFLD in matched populations
Next, this study further verified the association between Sirtuin3 rs28365927 and the risk for NAFLD with age and sex matched between the two groups. There were significant differences in the allele distributions of Sirtuin3 rs28365927 between the NAFLD and non-NAFLD patients (P = 0.045), while the genotype distribution was not significantly different (P = 0.079) in the matched populations (Table 3). As shown in Table 4, in the matched populations, the Sirtuin3 rs28365927 GA + AA genotype was a significant risk factor for the development of NAFLD (OR = 1.662, 95%CI: 1.054–2.619, P = 0.029). After adjusting for age, gender and BMI, the risk of the Sirtuin3 rs28365927 GA + AA genotype was still marked (OR = 1.838, 95%CI: 1.011–3.341, P = 0.046) in the dominant model. There was no significant correlation between Sirtuin3 rs28365927 and NAFLD risk in the recessive model, but a significant association was found between Sirtuin3 rs28365927 and higher NAFLD risk in both the additive (OR = 1.716, 95%CI: 1.001–2.942, P = 0.050, after adjusting for age, gender and BMI) and genotypic models (OR = 1.697, 95%CI: 1.062–2.712, P = 0.027, after adjusting for age and gender, GA vs GG).
These data indicate that Sirtuin3 rs28365927 is an independent risk factor for NAFLD that is not associated with age or gender. Individuals carrying an A allele may have significantly increased NAFLD susceptibility in matched populations.
Sirtuin3 rs28365927 affects the clinical parameters in NAFLD patients
To investigate the potential correlation, this study compared the Sirtuin3 rs28365927 genotype with the clinical parameters of the NAFLD patients. As shown in Table 5 and Fig. 3, among the NAFLD patients, serum levels of TBIL, DBIL and ALT in rs28365927 A allele carriers (GA + AA) were 11.1, 14.7 and 41.5% higher, respectively, than in non-carriers (GG) (P = 0.022, P = 0.021, P = 0.012, respectively). In a covariate adjusted linear regression analysis, as shown in Table 6 and Fig. 4, rs28365927 A carriers (AA + AG) were positively correlated with higher ALT among the NAFLD patients (P = 0.045).
NAFLD is a disease that is affected by multifactorial risk , among which genetic variation is one of the important factors in individual susceptibility to NAFLD . For example, Microsomal triglyceride transfer protein (MTTP) rs1800591 increases the development of NALFD by affecting VLDL secretion, while Uncoupled protein 2 (UCP2) rs695366 reduces the progression of NASH through lipid antioxidant activity [20, 21]. This study have newly discovered that Sirtuin3 rs28365927 is significantly associated with NAFLD risk, regardless of whether it was in a matched group or not. In the unmatched groups, this study found that the Sirtuin3 rs28365927 GA + AA genotype was a significant risk factor for the development of NAFLD in the dominant model, and there was a significant association between Sirtuin3 rs28365927 and higher NAFLD risk in the genotypic model (GA vs GG). In the matched groups, this study also found the Sirtuin3 rs28365927 GA + AA genotype was a significant risk factor for the development of NAFLD in the dominant model. There was a significant association between Sirtuin3 rs28365927 and higher NAFLD risk in both the additive and genotypic models (GA vs GG). In contrast, no risk association was discovered for PNPLA3 and other SNP loci, which may be mainly due to different populations. All of the subjects included in this study were of Han Chinese origin, and this study conclusions may not be applicable to other ethnicities.
Sirtuins are an evolutionarily conserved NAD+-dependent deacetylase family, and there are seven of them in mammals. Three (Sirtuin3, Sirtuin4 and Sirtuin5) are primarily localized in mitochondria . Sirtuin3 is the only sirtuin that has robust deacetylase activity in mitochondria, and it is a crucial gatekeeper of redox status, the epigenetic landscape and lipid homeostasis in hepatocytes [23, 24]. In most cases, increased Sirtuin3 expression is protective from NAFLD. The introduction of Sirtuin3 protects liver function, reduces liver fibrosis, reduces inflammatory response and prevents hepatocyte apoptosis, and the overexpression of Sirtuin3 protects hepatocytes from mitochondrial apoptosis by promoting the mitosis required by Bnip 3 . The flavonoid dihydromyricetin can help prevent NAFLD by improving mitochondrial respiration and liver cell redox homeostasis by increasing Sirtuin3 expression . The overexpression of Sirtuin3 in MTP+/− mice significantly reduced the acetylation of MTP as compared with β-galactosidase controls and increased mitochondrial fatty acid oxidation and reduced hepatic steatosis, CD68 and serum ALT levels . Studies have shown that theacrine can inhibit liver steatosis and liver inflammation in NAFLD by promoting the metabolism of acylcarnitine through Sirtuin3/LCAD signalling pathways . In mice, Berberine reduced the NAFLD induced by a high-fat diet by activating Sirtuin3 . Protocatechuic acid has a protective effect on NAFLD by increasing Sirtuin3 expression . Interestingly, Sirtuin3 overexpression makes the liver and hepatocytes susceptible to palmitate-induced cell death . So far, no studies have reported the relationship between Sirtuin3 genetic variation and NAFLD. Sirtuin3 rs28365927 is located in chr11:236091(GRCH38.p13), belonging to the Arg80Trp missense variant according to PUBMED database. Sirtuin3 rs28365927 may alter the binding motif of PAX-5 and Znf143 transcription factors by using HaploReg 4.1 database. In this study, Sirtuin3 rs28365927 was found to be significantly associated with NALFD susceptibility and among the NAFLD patients, serum levels of TBIL, DBIL and ALT in rs28365927 A allele carriers (GA + AA) were 11.1, 14.7 and 41.5% higher, respectively, than in non-carriers (GG) (Fig. 3). In addition, among the NAFLD patients, Rs28365927 A carriers (AA + AG) were positively correlated with higher ALT (Fig. 4). These results indicate that the Sirtuin3 rs28365927 A allele may be associated with an impairment of liver function.
ALT level is one of the high risk indexes for NAFLD, and Sirtuin3 rs28365927 may contribute to the risk for NAFLD through an effect on ALT level. NAFLD has been strongly associated with ALT activity in previous studies [31,32,33]. Mild ALT elevation is largely attributed to NAFLD [34, 35]. Sirtuin3 rs28365927 may leads to the production of reactive oxygen species (ROS) by decreasing the activity of mitochondrial respiratory chain (MRC), inactivating the extracellular signal regulated kinase-cAMP response element binding protein (ERK-CREB) pathway and reducing the activity of mitochondrial trifunctional protein (MTP)/ long chain acyl coa dehydrogenase (LCAD)/superoxide dismutase 2 (SOD2), and the production of ROS leads to the death of liver cells, which in turn leads to an increase in serum ALT levels (Fig. 5, [2, 25,26,27,28, 36,37,38,39]. However, the potential mechanism of Sirtuin3 rs28365927 in increasing NAFLD susceptibility requires further study.
Study strength and limitations
This study is the first comprehensive case-controlled study to research the relationship between genetic variants of the Sirtuin3 gene and susceptibility to NAFLD, and these findings are important because they provide a new point for exploring the role that Sirtuin3 plays in NAFLD based on genetic factors. Sirtuin3 rs28365927 is a newly discovered independent risk factor SNP associated with NAFLD in the Han Chinese population. The limitation of this study is that ultrasound is used in the diagnosis of NAFLD, which is not an accurate means to diagnose fatty liver and can only be seen when the pathological changes are relatively obvious. The study population was limited to the Han Chinese population and may not be applicable to other ethnic groups.
Sirtuin3 rs28365927 functional variant confers to the high risk of non-alcoholic fatty liver disease in Chinese Han population. The rs28365927 A allele significantly increased the ALT levels of NAFLD patients. As more and more genetic polymorphisms are reported, it may be possible in the future to individualize treatment based on the individual risk and disease progression of NAFLD patients.
Availability of data and materials
Peroxisome proliferator-activated receptor-γ coactivator-1β
Fatty acid synthase
Mechanistic target of rapamycin
Microsomal triglyceride transfer protein
Soluble carrier family 27 member A5
Cytochrome P450 2E1
Peroxisome proliferator-activated receptor-γ
Transcription factor 7-like 2
Hypoxia Inducible Factor 3 Alpha Subunit
Patatin-like phospholipase domain containing 3
Fas cell surface death receptor
Signal transducer and activator of transcription 2
Toll like receptor 4
Body Mass Index
Systemic blood pressure
Diastolic blood pressure
The ratio of albumin to globulin
Total bile acid
Glutamic oxalacetic transaminase
Low density lipoprotein cholesterin,
High density lipoprotein cholesterol
Nonalcoholic fatty liver disease
Rinella M, Charlton M. The globalization of nonalcoholic fatty liver disease: prevalence and impact on world health. Hepatology. 2016;64(1):19–22. https://doi.org/10.1002/hep.28524.
Brunt EM, Wong VWS, Nobili V, Day CP, Sookoian S, Maher JJ, et al. Nonalcoholic fatty liver disease. Nat Rev Dis Primers. 2015;1(1):15080. https://doi.org/10.1038/nrdp.2015.80.
Reimer KC, Wree A, Roderburg C, Tacke F. New drugs for NAFLD: lessons from basic models to the clinic. Hepatol Int. 2020;14(1):8–23. https://doi.org/10.1007/s12072-019-10001-4.
Brea A, Mosquera D, Martín E, Arizti A, Cordero J́L, Ros E. Nonalcoholic fatty liver disease is associated with carotid atherosclerosis: a case-control study. Arterioscler Thromb Vasc Biol. 2005;25(5):1045–50. https://doi.org/10.1161/01.ATV.0000160613.57985.18.
Stahl EC, Haschak MJ, Popovic B, Brown BN. Macrophages in the aging liver and age-related liver Disease. Front Immunol. 2018;9:2795. https://doi.org/10.3389/fimmu.2018.02795.
Kitade H, et al. Nonalcoholic Fatty Liver Disease and Insulin Resistance: New Insights and Potential New Treatments. Nutrients. 2017;9(4):384.
Tilg H, Moschen AR, Roden M. NAFLD and diabetes mellitus. Nat Rev Gastroenterol Hepatol. 2017;14(1):32–42. https://doi.org/10.1038/nrgastro.2016.147.
Mota M, Banini BA, Cazanave SC, Sanyal AJ. Molecular mechanisms of lipotoxicity and glucotoxicity in nonalcoholic fatty liver disease. Metabolism. 2016;65(8):1049–61. https://doi.org/10.1016/j.metabol.2016.02.014.
Fan JG, Kim SU, Wong VW. New trends on obesity and NAFLD in Asia. J Hepatol. 2017;67(4):862–73. https://doi.org/10.1016/j.jhep.2017.06.003.
Katsiki N, Mikhailidis DP, Mantzoros CS. Non-alcoholic fatty liver disease and dyslipidemia: an update. Metabolism. 2016;65(8):1109–23. https://doi.org/10.1016/j.metabol.2016.05.003.
Del Campo JA, et al. Genetic and Epigenetic Regulation in Nonalcoholic Fatty Liver Disease (NAFLD). Int J Mol Sci. 2018;19(3):911.
Valenti L, al-Serri A, Daly AK, Galmozzi E, Rametta R, Dongiovanni P, et al. Homozygosity for the patatin-like phospholipase-3/adiponutrin I148M polymorphism influences liver fibrosis in patients with nonalcoholic fatty liver disease. Hepatology. 2010;51(4):1209–17. https://doi.org/10.1002/hep.23622.
Vespasiani-Gentilucci U, Gallo P, Dell’Unto C, Volpentesta M, Antonelli-Incalzi R, Picardi A. Promoting genetics in non-alcoholic fatty liver disease: combined risk score through polymorphisms and clinical variables. World J Gastroenterol. 2018;24(43):4835–45. https://doi.org/10.3748/wjg.v24.i43.4835.
Wang Y, Tong J, Chang B, Wang BF, Zhang D, Wang BY. Relationship of SREBP-2 rs2228314 G>C polymorphism with nonalcoholic fatty liver disease in a Han Chinese population. Genet Test Mol Biomarkers. 2014;18(9):653–7. https://doi.org/10.1089/gtmb.2014.0116.
Eslam M, Valenti L, Romeo S. Genetics and epigenetics of NAFLD and NASH: clinical impact. J Hepatol. 2018;68(2):268–79. https://doi.org/10.1016/j.jhep.2017.09.003.
FJG. Guidelines for the diagnosis and treatment of nonalcoholic fatty liver disease. Chin J Clini Hepatol. 2010;26:120.
Shi YY, He L. SHEsis, a powerful software platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci. Cell Res. 2005;15(2):97–8. https://doi.org/10.1038/sj.cr.7290272.
Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M, et al. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol. 2018;15(1):11–20. https://doi.org/10.1038/nrgastro.2017.109.
Sookoian S, Pirola CJ. Genetic predisposition in nonalcoholic fatty liver disease. Clin Mol Hepatol. 2017;23(1):1–12. https://doi.org/10.3350/cmh.2016.0109.
Bremmer DR, Bertics SJ, Besong SA, Grummer RR. Changes in hepatic microsomal triglyceride transfer protein and triglyceride in periparturient dairy cattle. J Dairy Sci. 2000;83(10):2252–60. https://doi.org/10.3168/jds.S0022-0302(00)75109-5.
Fares R, Petta S, Lombardi R, Grimaudo S, Dongiovanni P, Pipitone R, et al. The UCP2–866 G>A promoter region polymorphism is associated with nonalcoholic steatohepatitis. Liver Int. 2015;35(5):1574–80. https://doi.org/10.1111/liv.12707.
Zeng X, Yang J, Hu O, Huang J, Ran L, Chen M, et al. Dihydromyricetin ameliorates nonalcoholic fatty liver Disease by improving mitochondrial respiratory capacity and redox homeostasis through modulation of SIRT3 signaling. Antioxid Redox Signal. 2019;30(2):163–83. https://doi.org/10.1089/ars.2017.7172.
Ahn BH, Kim HS, Song S, Lee IH, Liu J, Vassilopoulos A, et al. A role for the mitochondrial deacetylase Sirt3 in regulating energy homeostasis. Proc Natl Acad Sci U S A. 2008;105(38):14447–52. https://doi.org/10.1073/pnas.0803790105.
Podrini C, Borghesan M, Greco A, Pazienza V, Mazzoccoli G, Vinciguerra M. Redox homeostasis and epigenetics in non-alcoholic fatty liver disease (NAFLD). Curr Pharm Des. 2013;19(15):2737–46. https://doi.org/10.2174/1381612811319150009.
Li R, Xin T, Li D, Wang C, Zhu H, Zhou H. Therapeutic effect of Sirtuin 3 on ameliorating nonalcoholic fatty liver disease: the role of the ERK-CREB pathway and Bnip3-mediated mitophagy. Redox Biol. 2018;18:229–43. https://doi.org/10.1016/j.redox.2018.07.011.
Nassir F, Arndt JJ, Johnson SA, Ibdah JA. Regulation of mitochondrial trifunctional protein modulates nonalcoholic fatty liver disease in mice. J Lipid Res. 2018;59(6):967–73. https://doi.org/10.1194/jlr.M080952.
Wang GE, Li YF, Zhai YJ, Gong L, Tian JY, Hong M, et al. Theacrine protects against nonalcoholic fatty liver disease by regulating acylcarnitine metabolism. Metabolism. 2018;85:227–39. https://doi.org/10.1016/j.metabol.2018.04.011.
Xu X, Zhu XP, Bai JY, Xia P, Li Y, Lu Y, et al. Berberine alleviates nonalcoholic fatty liver induced by a high-fat diet in mice by activating SIRT3. FASEB J. 2019;33(6):7289–300. https://doi.org/10.1096/fj.201802316R.
Sun R, Kang X, Zhao Y, Wang Z, Wang R, Fu R, et al. Sirtuin 3-mediated deacetylation of acyl-CoA synthetase family member 3 by protocatechuic acid attenuates non-alcoholic fatty liver disease. Br J Pharmacol. 2020;177(18):4166–80. https://doi.org/10.1111/bph.15159.
Li S, Dou X, Ning H, Song Q, Wei W, Zhang X, et al. Sirtuin 3 acts as a negative regulator of autophagy dictating hepatocyte susceptibility to lipotoxicity. Hepatology. 2017;66(3):936–52. https://doi.org/10.1002/hep.29229.
Clark JM, Brancati FL, Diehl AM. The prevalence and etiology of elevated aminotransferase levels in the United States. Am J Gastroenterol. 2003;98(5):960–7. https://doi.org/10.1111/j.1572-0241.2003.07486.x.
Chen CH, Huang MH, Yang JC, Nien CK, Yang CC, Yeh YH, et al. Prevalence and etiology of elevated serum alanine aminotransferase level in an adult population in Taiwan. J Gastroenterol Hepatol. 2007;22(9):1482–9. https://doi.org/10.1111/j.1440-1746.2006.04615.x.
Pendino GM, Mariano A, Surace P, Caserta CA, Fiorillo MT, Amante A, et al. Prevalence and etiology of altered liver tests: a population-based survey in a Mediterranean town. Hepatology. 2005;41(5):1151–9. https://doi.org/10.1002/hep.20689.
Giannini EG, Testa R, Savarino V. Liver enzyme alteration: a guide for clinicians. CMAJ. 2005;172(3):367–79. https://doi.org/10.1503/cmaj.1040752.
Liangpunsakul S, Chalasani N. Unexplained elevations in alanine aminotransferase in individuals with the metabolic syndrome: results from the third National Health and nutrition survey (NHANES III). Am J Med Sci. 2005;329(3):111–6. https://doi.org/10.1097/00000441-200503000-00001.
Qiu X, Brown K, Hirschey MD, Verdin E, Chen D. Calorie restriction reduces oxidative stress by SIRT3-mediated SOD2 activation. Cell Metab. 2010;12(6):662–7. https://doi.org/10.1016/j.cmet.2010.11.015.
Tao R, Coleman MC, Pennington JD, Ozden O, Park SH, Jiang H, et al. Sirt3-mediated deacetylation of evolutionarily conserved lysine 122 regulates MnSOD activity in response to stress. Mol Cell. 2010;40(6):893–904. https://doi.org/10.1016/j.molcel.2010.12.013.
Begriche K, Massart J, Robin MA, Bonnet F, Fromenty B. Mitochondrial adaptations and dysfunctions in nonalcoholic fatty liver disease. Hepatology. 2013;58(4):1497–507. https://doi.org/10.1002/hep.26226.
Luedde T, Kaplowitz N, Schwabe RF. Cell death and cell death responses in liver disease: mechanisms and clinical relevance. Gastroenterology. 2014;147(4):765–83 e4. https://doi.org/10.1053/j.gastro.2014.07.018.
We would like to thank the Health Management Center of Xiangya Hospital for the recruitment of subjects.
This work was supported by the National Scientific Foundation of China (grant 81974513, 81302850), the National Science and Technology Plan of China (grant 2017ZX09304014). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Ethics approval and consent to participate
This case-control retrospective study was approved by the Medical Ethics Committee of the Department of Clinical Pharmacology, Xiangya Hospital, Central South University (Changsha, China) and was registered with the Chinese Clinical Trial Registry (no. ChiCTR-ROC-15006899). All subjects gave written and informed consent before participating in this study.
Consent for publication
The authors have declared that no competing interests exist.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Chen, Lj., Guo, J., Zhang, Sx. et al. Sirtuin3 rs28365927 functional variant confers to the high risk of non-alcoholic fatty liver disease in Chinese Han population. Lipids Health Dis 20, 92 (2021). https://doi.org/10.1186/s12944-021-01520-x
- Non-alcoholic fatty liver disease
- Functional mutation