Abstract
Background:
Recent genome-wide association studies (GWAS) identified that gene Lysophospholipase-like 1 (LYPLAL1) rs12137855 associated with non-alcoholic fatty liver disease (NAFLD). No research has been performed regarding the association between LYPLAL1 and NAFLD in China.
Objectives:
The aim of the present study was to investigate the association between the gene LYPLAL1 rs12137855 and NAFLD, and the effect on serum lipid profiles in a Chinese Han population.
Patients and Methods:
LYPLAL1 rs12137855 gene was genotyped in 184 patients with NAFLD and 114 healthy controls using sequencing and polymerase chain reaction analysis (PCR). We tested serum lipid profiles using biochemical methods.
Results:
No significant differences in genotype and allele frequencies of LYPLAL1 rs12137855 was found between the NAFLD group and the controls group (P > 0.05). Subjects with the variant LYPLAL1 rs12137855 CC genotype had a higher mean weight, body mass index (BMI) and low density lipoprotein (LDL).
Conclusions:
Our results showed for the first time that LYPLAL1 gene is not associated with a risk of NAFLD development in the Chinese Han population. The variant carriers of overall subjects significantly increased weight, BMI and LDL.
Keywords: Single Nucleotide Polymorphism, Non-Alcoholic Fatty Liver Disease, LYPLAL1
1. Background
Non-alcoholic fatty liver disease (NAFLD), the hepatic manifestation of metabolic syndrome, includes a spectrum of diseases ranging from simple steatosis, through steatohepatitis (NASH), to fibrosis and ultimately cirrhosis (1, 2). The disease definition and modalities used for diagnosis and epidemiology studies are not standardized (3). The prevalence of NAFLD increased rapidly and it affects about 20% to 30% of the population in Western countries (4) and 15% in China (5). As a lipid metabolism disorder, NAFLD has a strong genetic component. A recent GWAS from The genetics of obesity-related liver disease consortium identified LYPLAL1 rs12137855 for NAFLD in 7177 adults of European ancestry (6).
LYPLAL1 encodes lysophospholipase-like protein 1, a 26 kDa cytosol protein, which belongs to a subclass of lysophospholipase family (7). Recently, several single nucleotide polymorphisms (SNPs), near human LYPLAL1 gene were revealed to be significantly associated with fat distribution in a relatively sex-specific pattern (8), such as 3 SNPs including rs4846567 (9), rs2605100 (10) and rs2820443 (11) near LYPLAL1 gene, which are associated with increased waist-hip ratio (WHR) adjusted for BMI only in women not men. SNP rs11118316 at LYPLAL1 is associated with visceral adipose tissue/subcutaneous adipose tissue ratio in both men and women (12), and SNP at rs12137855 near LYPLAL1 gene is strongly associated with NAFLD (13). Subsequent studies showed that LYPLAL1 plays an important role in fat distribution and lipid metabolism. LYPLAL1 rs12137855, as the susceptibility gene of NAFLD, was widely studied, but the results were inconsistent. No research has been performed on the association between polymorphism of LYPLAL1 and NAFLD in Chinese Han population.
2. Objectives
The aim of our study was to investigate the association between NAFLD and LYPLAL1 in Chinese Han population and assess the effect of this gene on serum lipid profiles.
3. Patients and Methods
3.1. Subjects
The study was performed in accordance with the principles of declaration of Helsinki and its appendices (14). This study was approved by the ethical committee of Qingdao municipal hospital (Qingdao, China) and a written informed consent form was obtained from all patients before participation in the study.
From May 2010 to May 2014, we selected a total of 298 unrelated adult subjects, including 184 unrelated Chinese patients of both genders and different ages (85 males, 97 females, mean age 43.18 ± 11.53 years) diagnosed with NAFLD and 114 healthy controls matched for sex and age (57 males, 57 females, mean age 40.77 ± 11.47 years) by B-type ultrasonography (15). The subjects were collected from the department of gastroenterology and the medical center of Qingdao municipal hospital. All subjects were unrelated and ethnically Han Chinese origin. The diagnosis of NAFLD was performed under standard clinical evaluation conditions according to the AASID criteria. Other causes of liver disease were excluded, including increased alcohol intake (> 210/140 g/wk for males/females), as confirmed by at least one family member or friend and carboxydesialylated transferrin determination, viral and autoimmune hepatitis, hereditary hemochromatosis, and alphal-antitrypsin deficiency (16). We excluded other related disease, such as subjects with type 1 diabetes mellitus and coronary atherosclerotic disease (CAD). The controls were confirmed as healthy by medical history, general examinations and laboratory examinations at the same hospital.
3.2. Biochemical Analyses
Blood samples of each subject for biochemical analyses were collected into ethylene diamine tetraacetic acid-containing tubes after an 12-hour overnight fast and the following information for each subject was gathered; height, body mass, waist, hip circumference, calculating body mass index (BMI) equals to mass (kg)/height (m)2. Environmental factors, such as diet and physical activity, were not recorded in this study. The blood sample tested for total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) using routine enzymatic methods. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST) and γ-glutamyltransferase (GGT) concentrations were measured as previously described (17).
3.3. Genetic DNA Extraction and Genotyping
The genomic DNA purification kit (BioTeke, Biotechnology, Beijing, China) was used for extracting DNA from peripheral blood following the manufacturer's instructions and stored at −20°C until use. Genotyping for LYPLAL1 (rs12137855) was performed by polymerase chain reaction (PCR) analysis using the following primers for LYPLAL1 polymorphism: 5'-TCCTAAGTTCCTATTGTCCCTTCA-3' and 5'-TGCTGTGGGGTGAGTCA-3'. PCR amplification (Labnet, United States) was performed as follows; initial step of 95°C for 10 minutes, followed by 35 cycles; denaturation at 94°C for 1 minute, annealing at 60°C for 1 minute and elongation at 70 °C for 1 minute. All PCR products were resolved using 2% agarose gel electrophoresis at 110 V for 30 minutes with a 237-base pair product in size. The LYPLAL1 genotypes were detected by direct DNA sequencing using the ABI Prism sequence detection system ABI3730 (Foster city, CA, USA). The genotyping call rate was more than 95% and the completion rate was > 99%. Genotyping was performed in a blinded fashion.
3.4. Statistical Analysis
Statistical analyses were performed using SPSS statistical software, version 17.0 for window (SPSS Inc. Chicago, IL, USA). Hardy-Weinberg equilibrium between expected and observed genotype distributions was assessed using the χ2 test. Genotype and alleles were estimated by chi-square test and DNA distributions between NAFLD patients and controls were analyzed by Pearson’s χ2 test or Fisher’s exact test where appropriate. The baseline characteristics of participants shown as mean ± SD. Differences in characteristics between different groups were examined using student’s t test, paired samples t-test or χ2 test. The strength of the association between the polymorphism and NAFLD was evaluated by logistic regression analysis adjusted for confounders (age, sex, smoking and hypertension, which were considered as continuous variables). Level of significance was defined as P < 0.05.
4. Results
4.1. Characteristics of the Study Population
The clinical characteristics of the study participants are shown in Table 1.
Table 1. Demographics and Clinical Characteristics of Patients With NAFLD and Controlsa.
| Characteristics | NAFLD Patients (n = 184) | Controls (n = 114) | P Value |
|---|---|---|---|
| Height, cm | 167.72 ± 8.23 | 165.96 ± 6.44 | .053 |
| Weight, kg | 74.29 ± 11.34 | 63.55 ± 10.88 | .000 |
| BMI, kg/m 2 | 26.34 ± 3.05 | 23.04 ± 3.47 | .000 |
| Waist circumference, cm | 92.36 ± 9.17 | 82.28 ± 8.79 | .000 |
| Hip circumference, cm | 102.91 ± 8.22 | 96.92 ± 9.13 | .000 |
| ALT, U/L | 25.43 ± 14.17 | 19.39 ± 10.14 | .000 |
| AST, U/L | 21.91 ± 11.11 | 19.48 ± 6.34 | .034 |
| GGT, U/L | 21.35 ± 8.613 | 14.96 ± 5.731 | .000 |
| Glu, mmol/L | 5.60 ± 1.88 | 5.01 ± 1.24 | .003 |
| TG, mmol/L | 1.76 ± 0.95 | 1.13 ± 0.67 | .000 |
| TC, mmol/L | 4.90 ± 0.96 | 4.63 ± 0.93 | .018 |
| HDL, mmol/L | 1.29 ± 0.48 | 1.47 ± 0.33 | .000 |
| LDL, mmol/L | 3.29 ± 0.93 | 2.93 ± 0.81 | .001 |
Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; GGT, gamma-glutamyl transpeptidase; Glu, glucose; HDL, high-density lipoprotein; LDL, low-density lipoprotein; NAFLD, non-alcoholic fatty liver disease patients; TC, total cholesterol; TG, triglyceride.
aData are presented as mean ± SD.
4.2. LYPLAL1 rs12137855 Genotypes and Allele Distribution
The genotypes distribution of LYPLAL1 was in accordance with the Hardy-Weinberg equilibrium in NAFLD and control groups (PNAFLD = 0.323; Pcontrol = 0.230, respectively). To ensure the accuracy of our genotyping, we randomly repeated DNA sequencing in 100 subjects for reverse sequencing. The success rate of duplicated genotyping was more than 100%. The genotype and allele distribution are shown in Table 2, which indicates no significant difference between the two groups (P > 0.05). The gene LYPLAL1 did not increase the risk of developing NAFLD (OR = 0.622, 95% CI: 0.334 - 1.159).
Table 2. Association of Variants in LYPLAL1 Gene with Risk of NAFLDa.
| SNP (Rs12137855) | NAFLD Patients (n) | Controls (n) | χ2 | P Value |
|---|---|---|---|---|
| Genotypes | 2.261 | .133 | ||
| CC | 159 | 91 | ||
| CT | 25 | 23 | ||
| Alleles | 2.063 | .151 | ||
| C | 343 | 205 | ||
| T | 25 | 23 |
Abbreviations: NAFLD, non-alcoholic fatty liver disease patients.
aP: NAFLD patients vs. control.
4.3. LYPLAL1 rs12137855 Association with Clinical Parameters in Non-Alcoholic Fatty Liver Disease Patients
To explore whether gene polymorphism affect the laboratory parameters, we compared non-carriers and carriers of variant allele (rs12137855) in all subjects, NAFLD patients and healthy controls, respectively (Table 3); the results showed that there was a significant difference in weight, BMI and LDL.
Table 3. Clinical Characteristics of LYPLAL1 (rs12137855 C/C) Carriers and Non-Carriers in the Study Populationa.
| Characteristic | Overall Series | NAFLD Patients | Controls | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Carriers (n = 250) | Non-Carriers (n = 48) | P | Carriers (n = 159) | Non-Carriers (n = 25) | P | Carriers (n = 91) | Non-Carriers (n = 23) | P | |
| Age, y | 42.79 ± 11.61 | 39.52 ± 10.94 | .073 | 43.49 ± 11.59 | 41.24 ± 11.18 | .366 | 41.56 ± 11.60 | 37.65 ± 10.61 | .145 |
| Female/male | 139/111 | 28/20 | .727 | 90/69 | 16/9 | .487 | 55/36 | 18/5 | .122 |
| Height, cm | 167.15 ± 7.61 | 166.54 ± 7.82 | .616 | 167.94 ± 8.08 | 166.36 ± 9.22 | .375 | 165.76 ± 6.53 | 166.74 ± 6.14 | .519 |
| Weight, Kg | 70.86 ± 12.06 | 66.67 ± 13.16 | .031 | 74.66 ± 11.23 | 71.96 ± 12.03 | .270 | 64.22 ± 10.53 | 60.91 ± 12.07 | .194 |
| BMI, kg/m 2 | 25.29 ± 3.51 | 23.96 ± 3.82 | .018 | 26.42 ± 3.14 | 25.85 ± 2.45 | .386 | 23.32 ± 3.25 | 21.91 ± 4.03 | .078 |
| ALT, U/L | 23.07 ± 13.20 | 23.38 ± 12.65 | .884 | 25.42 ± 14.66 | 25.52 ± 10.87 | .973 | 18.98 ± 8.88 | 21.04 ± 14.21 | .385 |
| AST, U/L | 20.96 ± 9.91 | 21.06 ± 8.10 | .948 | 22.05 ± 11.83 | 21.00 ± 4.44 | .662 | 19.07 ± 4.54 | 21.13 ± 10.89 | .383 |
| GGT, U/L | 18.83 ± 8.031 | 17.92 ± 7.930 | .471 | 21.43 ± 8.617 | 19.60 ± 8.026 | .320 | 14.56 ± 4.949 | 16.09 ± 7.573 | .367 |
| Glu, mmol/L | 5.43 ± 1.78 | 5.09 ± 1.07 | .206 | 5.63 ± 1.94 | 5.38 ± 1.41 | .527 | 5.07 ± 1.38 | 4.78 ± 0.31 | .326 |
| TG, mmol/L | 1.71 ± 1.171 | 1.57 ± 1.65 | .592 | 1.94 ± 1.72 | 2.08 ± 2.12 | .709 | 1.32 ± 1.62 | 1.01 ± 0.53 | .372 |
| TC, mmol/L | 4.83 ± 0.93 | 4.60 ± 1.06 | .127 | 4.92 ± 0.91 | 4.78 ± 1.23 | .493 | 4.69 ± 0.97 | 4.42 ± 0.76 | .216 |
| HDL, mmol/L | 1.36 ± 0.44 | 1.38 ± 0.35 | .804 | 1.29 ± 0.48 | 1.27 ± 0.31 | .862 | 1.47 ± 0.32 | 1.48 ± 0.36 | .903 |
| LDL, mmol/L | 3.20 ± 0.90 | 2.91 ± 0.84 | .040 | 3.32 ± 0.91 | 3.09 ± 0.98 | .260 | 2.99 ± 0.84 | 2.71 ± 0.62 | .134 |
Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; GGT, gamma-glutamyl transpeptidase; Glu, glucose; HDL, high-density lipoprotein; LDL, low-density lipoprotein; NAFLD, non-alcoholic fatty liver disease patients; TC, total cholesterol; TG, triglyceride.
aData are Presented as Mean ± SD.
5. Discussion
Speliotes confirmed that LYPLAL1 is a susceptibility gene of NAFLD (13). In the recent years, this gene has been widely studied, but the results were inconsistent (6, 18). Speliotes et al. observed significant associations with both histologic NAFLD and CT NAFLD at variants or near LYPLAL1 (6). Our study for the first time investigated the association between LYPLAL1 rs12137855 and NAFLD in Chinese Han population; we selected 184 NAFLD patients and 114 controls to observe the association between LYPLAL1 rs12137855 and NAFLD; however, we did not find significant association between gene and NAFLD, which is in accordance with some previous findings (18-23).
Multiple factors are involved in development and progression of NAFLD such as insulin resistance, obesity and oxidative stress (24). In our study, we diagnosed NAFLD using routine blood testing and liver ultrasonography. Lack of direct measurement of hepatic fat content by gold standard liver biopsy reduced the accuracy of diagnosis, but we observed that metabolism indicators change obviously. ALT and AST are used as markers of liver fat accumulation (25-27) and commonly used in clinical practice (28). We can observe significant differences in plasma concentrations of these transaminases between NAFLD and healthy controls. On the contrary, independent of genetic variation in LYPLAL1, no difference was reported similar to other biochemical markers. These results were not in accordance with Paola Leon-Mimila and Speliotes study; they confirmed that LYPLAL1 rs12137855 was associated with increased TG content (6, 29). Speliotes et al. study found similar results with ours. The mechanism is unknown. Interestingly LYPLAL1-related proteins have been predicted to play a role in consecutive steps in triglyceride breakdown (30, 31). PNPLA3 has been confirmed to increase hepatic steatosis through preventing the breakdown of triglyceride (32). Whether LYPLAL1 has the same function and knowing the mechanism of triglyceride breakdown need more investigations.
Obesity is the major risk factor for NAFLD. Approximately 95% of morbidly obese individuals develop NAFLD (33). For Chinese subjects, BMI of 28 kg/m2 or more is an index of obesity (16). In this study, BMI was higher in the NAFLD group (26.34 ± 3.06 kg/m2) than controls (23.04 ± 3.47kg/m2) (P < 0.05), also higher in the variant carrier (25.29 ± 3.51 kg/m2) than non-carrier (23.96 ± 3.82 kg/m2) controls in all subjects (P < 0.05). Independent of this gene in NAFLD group and control group the difference did not reach statistical significant. We observed that BMI of carriers was greater than non-carriers. Our study suggested that LYPLAL1 can influence BMI, which reflects the association with obesity indirectly. Our findings for the first time found a significant difference between variant carriers and non-carriers regarding LDL; the mechanism is not clear and needs further research.
As far the studies on Asian population were negative (18, 19), and we have reasons to doubt the correlation of the gene with NAFLD in Asian population. To obtain more precise results, larger studies on multiple ethnic groups, such as Asian Indian or Korean should be performed. Our results may also be due to small sample size, ethnic differences in linkage disequilibrium (LD) patterns, ethnic-specific association and gene/environment interactions.
This study provided preliminary evidence that there is no association between LYPLAL1 rs12137855 polymorphism and development of NAFLD in Chinese Han origin for the first time. The C allele of the rs12137855 significantly affects weight, BMI and LDL. Further studies with large study samples and different ethnicity are needed to investigate the influence of this gene on NAFLD.
Footnotes
Authors’ Contribution:Study concept and design: Chen Yuan, Linlin Lu; acquisition of data: Chen Yuan, Linlin Lu, Baiquan An, and Wenwen Jin; analysis and interpretation of data: Chen Yuan, and Quanjiang Dong; drafting of the manuscript: Chen Yuan, Yongning Xin; critical revision of the manuscript for important intellectual content: Shiying Xuan; statistical analysis: Chen Yuan; administrative, technical and material support: Yongning Xin; study supervision: Shiying Xuan.
Funding/Support:This study was supported by Qingdao livelihood, science and technology project, China (grant No.14-2-3-17-nsh) and Qingdao key health discipline development fund.
References
- 1.Clark JM. The epidemiology of nonalcoholic fatty liver disease in adults. J Clin Gastroenterol. 2006;40 Suppl 1:S5–10. doi: 10.1097/01.mcg.0000168638.84840.ff. [DOI] [PubMed] [Google Scholar]
- 2.Kleiner DE, Brunt EM, Van Natta M, Behling C, Contos MJ, Cummings OW, et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology. 2005;41(6):1313–21. doi: 10.1002/hep.20701. [DOI] [PubMed] [Google Scholar]
- 3.Oh MK, Winn J, Poordad F. Review article: Diagnosis and treatment of non-alcoholic fatty liver disease. Aliment Pharmacol Ther. 2008;28(5):503–22. doi: 10.1111/j.1365-2036.2008.03752.x. [DOI] [PubMed] [Google Scholar]
- 4.Milic S, Stimac D. Nonalcoholic fatty liver disease/steatohepatitis: Epidemiology, pathogenesis, clinical presentation and treatment. Dig Dis. 2012;30(2):158–62. doi: 10.1159/000336669. [DOI] [PubMed] [Google Scholar]
- 5.Fan JG, Farrell GC. Epidemiology of non-alcoholic fatty liver disease in China. J Hepatol. 2009;50(1):204–10. doi: 10.1016/j.jhep.2008.10.010. [DOI] [PubMed] [Google Scholar]
- 6.Speliotes EK, Yerges-Armstrong LM, Wu J, Hernaez R, Kim LJ, Palmer CD, et al. Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits. PLoS Genet. 2011;7(3):e33155. doi: 10.1371/journal.pgen.1001324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Fischer M, Pleiss J. The Lipase Engineering Database: A navigation and analysis tool for protein families. Nucleic Acids Res. 2003;31(1):319–21. doi: 10.1093/nar/gkg015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lei X, Callaway M, Zhou H, Yang Y, Chen W. Obesity associated Lyplal1 gene is regulated in diet induced obesity but not required for adipocyte differentiation. Mol Cell Endocrinol. 2015;411:207–13. doi: 10.1016/j.mce.2015.05.001. [DOI] [PubMed] [Google Scholar]
- 9.Heid IM, Jackson AU, Randall JC, Winkler TW, Qi L, Steinthorsdottir V, et al. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet. 2010;42(11):949–60. doi: 10.1038/ng.685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jimenez MA, Akerblad P, Sigvardsson M, Rosen ED. Critical role for Ebf1 and Ebf2 in the adipogenic transcriptional cascade. Mol Cell Biol. 2007;27(2):743–57. doi: 10.1128/MCB.01557-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, et al. Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet. 2013;9(6):e33155. doi: 10.1371/journal.pgen.1003500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fox CS, Liu Y, White CC, Feitosa M, Smith AV, Heard-Costa N, et al. Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women. PLoS Genet. 2012;8(5):e33155. doi: 10.1371/journal.pgen.1002695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet. 2010;42(11):937–48. doi: 10.1038/ng.686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rickham PP. Human Experimentation. Code of Ethics of the World Medical Association. Declaration of Helsinki. Br Med J. 1964;2(5402):177. doi: 10.1136/bmj.2.5402.177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Razavizade M, Jamali R, Arj A, Talari H. Serum parameters predict the severity of ultrasonographic findings in non-alcoholic fatty liver disease. Hepatobiliary Pancreatic Dis Int. 2012;11(5):513–20. doi: 10.1016/S1499-3872(12)60216-1. [DOI] [PubMed] [Google Scholar]
- 16.Niu TH, Jiang M, Xin YN, Jiang XJ, Lin ZH, Xuan SY. Lack of association between apolipoprotein C3 gene polymorphisms and risk of nonalcoholic fatty liver disease in a Chinese Han population. World J Gastroenterol. 2014;20(13):3655–62. doi: 10.3748/wjg.v20.i13.3655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kotronen A, Westerbacka J, Bergholm R, Pietilainen KH, Yki-Jarvinen H. Liver fat in the metabolic syndrome. J Clin Endocrinol Metab. 2007;92(9):3490–7. doi: 10.1210/jc.2007-0482. [DOI] [PubMed] [Google Scholar]
- 18.Kitamoto A, Kitamoto T, Nakamura T, Ogawa Y, Yoneda M, Hyogo H, et al. Association of polymorphisms in GCKR and TRIB1 with nonalcoholic fatty liver disease and metabolic syndrome traits. Endocr J. 2014;61(7):683–9. doi: 10.1507/endocrj.ej14-0052. [DOI] [PubMed] [Google Scholar]
- 19.Lin YC, Chang PF, Chang MH, Ni YH. Genetic variants in GCKR and PNPLA3 confer susceptibility to nonalcoholic fatty liver disease in obese individuals. Am J Clin Nutr. 2014;99(4):869–74. doi: 10.3945/ajcn.113.079749. [DOI] [PubMed] [Google Scholar]
- 20.Palmer ND, Musani SK, Yerges-Armstrong LM, Feitosa MF, Bielak LF, Hernaez R, et al. Characterization of European ancestry nonalcoholic fatty liver disease-associated variants in individuals of African and Hispanic descent. Hepatology. 2013;58(3):966–75. doi: 10.1002/hep.26440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Gorden A, Yang R, Yerges-Armstrong LM, Ryan KA, Speliotes E, Borecki IB, et al. Genetic variation at NCAN locus is associated with inflammation and fibrosis in non-alcoholic fatty liver disease in morbid obesity. Hum Hered. 2013;75(1):34–43. doi: 10.1159/000346195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Petta S, Valenti L, Marchesini G, Di Marco V, Licata A, Camma C, et al. PNPLA3 GG genotype and carotid atherosclerosis in patients with non-alcoholic fatty liver disease. PLoS One. 2013;8(9):e33155. doi: 10.1371/journal.pone.0074089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kawaguchi T, Sumida Y, Umemura A, Matsuo K, Takahashi M, Takamura T, et al. Genetic polymorphisms of the human PNPLA3 gene are strongly associated with severity of non-alcoholic fatty liver disease in Japanese. PLoS One. 2012;7(6):e33155. doi: 10.1371/journal.pone.0038322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Malhi H, Gores GJ. Molecular mechanisms of lipotoxicity in nonalcoholic fatty liver disease. Semin Liver Dis. 2008;28(4):360–9. doi: 10.1055/s-0028-1091980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Schindhelm RK, Diamant M, Dekker JM, Tushuizen ME, Teerlink T, Heine RJ. Alanine aminotransferase as a marker of non-alcoholic fatty liver disease in relation to type 2 diabetes mellitus and cardiovascular disease. Diabetes Metab Res Rev. 2006;22(6):437–43. doi: 10.1002/dmrr.666. [DOI] [PubMed] [Google Scholar]
- 26.Prati D, Taioli E, Zanella A, Della Torre E, Butelli S, Del Vecchio E, et al. Updated definitions of healthy ranges for serum alanine aminotransferase levels. Ann Intern Med. 2002;137(1):1–10. doi: 10.7326/0003-4819-137-1-200207020-00006. [DOI] [PubMed] [Google Scholar]
- 27.Pratt DS, Kaplan MM. Evaluation of abnormal liver-enzyme results in asymptomatic patients. N Engl J Med. 2000;342(17):1266–71. doi: 10.1056/NEJM200004273421707. [DOI] [PubMed] [Google Scholar]
- 28.Marchesini G, Bugianesi E, Forlani G, Cerrelli F, Lenzi M, Manini R, et al. Nonalcoholic fatty liver, steatohepatitis, and the metabolic syndrome. Hepatology. 2003;37(4):917–23. doi: 10.1053/jhep.2003.50161. [DOI] [PubMed] [Google Scholar]
- 29.Leon-Mimila P, Vega-Badillo J, Gutierrez-Vidal R, Villamil-Ramirez H, Villareal-Molina T, Larrieta-Carrasco E, et al. A genetic risk score is associated with hepatic triglyceride content and non-alcoholic steatohepatitis in Mexicans with morbid obesity. Exp Mol Pathol. 2015;98(2):178–83. doi: 10.1016/j.yexmp.2015.01.012. [DOI] [PubMed] [Google Scholar]
- 30.Burke JE, Dennis EA. Phospholipase A2 biochemistry. Cardiovasc Drugs Ther. 2009;23(1):49–59. doi: 10.1007/s10557-008-6132-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Burke JE, Dennis EA. Phospholipase A2 structure/function, mechanism, and signaling. J Lipid Res. 2009;50 Suppl:S237–42. doi: 10.1194/jlr.R800033-JLR200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.He S, McPhaul C, Li JZ, Garuti R, Kinch L, Grishin NV, et al. A sequence variation (I148M) in PNPLA3 associated with nonalcoholic fatty liver disease disrupts triglyceride hydrolysis. J Biol Chem. 2010;285(9):6706–15. doi: 10.1074/jbc.M109.064501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Dixon JB, Bhathal PS, O'Brien PE. Nonalcoholic fatty liver disease: predictors of nonalcoholic steatohepatitis and liver fibrosis in the severely obese. Gastroenterology. 2001;121(1):91–100. doi: 10.1053/gast.2001.25540. [DOI] [PubMed] [Google Scholar]