Abstract
Background & Aims
Nonalcoholic fatty liver disease (NAFLD) is a leading cause of liver damage and is characterized by steatosis. Genetic factors increase risk for progressive NAFLD. A genome-wide association study showed that the rs641738 C>T variant in the locus that contains the membrane bound O-acyltransferase domain-containing 7 gene (MBOAT7, also called LPIAT1) and transmembrane channel-like 4 gene (TMC4) increased the risk for cirrhosis in alcohol abusers. We investigated whether the MBOAT7/TMC4 is a susceptibility locus for the development and progression of NAFLD.
Methods
We genotyped rs641738 in DNA collected from 3854 participants from the Dallas Heart Study (a multi-ethnic population-based probability sample of Dallas County residents) and 1149 European individuals from the Liver Biopsy Cross-sectional Cohort. Clinical and anthropometric data were collected, and biochemical and lipidomics were measured in plasma samples from participants. A total of 2736 participants from the Dallas Heart Study underwent also proton magnetic resonance spectroscopy to measure hepatic triglyceride content. In the Liver Biopsy Cross-sectional Cohort, a total of 1149 individuals underwent liver biopsy to diagnose liver disease and disease severity.
Results
The genotype rs641738 at the MBOAT7/TMC4 locus associated with increased hepatic fat content in the 2 cohorts, and with more severe liver damage and increased risk of fibrosis compared to subjects without the variant. MBOAT7, but not TMC4, was found to be highly expressed in the liver. The MBOAT7 rs641738 T allele was associated with lower protein expression in the liver and changes in plasma phosphatidylinositol species consistent with decreased MBOAT7 function.
Conclusions
We provide evidence for an association between the MBOAT7 rs641738 variant and the development and severity of NAFLD in individuals of European descent. This association seems to be mediated by changes in the hepatic phosphatidylinositol acyl-chain remodeling.
Keywords: PNPLA3, TM6SF2, NASH, Arachidonic Acid
Nonalcoholic fatty liver disease (NAFLD) is a leading cause of liver damage, especially in Western countries1. Accumulation of triglycerides exceeding 5% of liver weight, namely steatosis, in the absence of excess alcohol intake is the hallmark of NAFLD2. Steatosis may progress to liver damage and inflammation, namely nonalcoholic steatohepatitis (NASH)3, 4 and ultimately to cirrhosis and hepatocellular carcinoma5. Importantly, the fibrosis progression rate is higher in individuals with NASH than with simple steatosis6.
Predisposition to progressive NAFLD is strongly influenced by genetic heritability7, 8. Two common genetic variants increasing liver fat content have been identified by genome wide association studies9-11, namely the I148M variant of the Patatin-like phospholipase domain-containing-3 gene (PNPLA3) and the E167K variant of Transmembrane 6 superfamily member 2 gene (TM6SF2). Both PNPLA3 and TM6SF2 variants were found to increase the susceptibility to NAFLD12-14. PNPLA3 is a lipase15-17 involved in hepatocellular lipid remodeling17-19 and retinol metabolism20, 21 while TM6SF2 is involved in hepatic very-low density lipoproteins (VLDL) secretion9, 10, 22-23.
Recently, a genome wide association study identified the rs641738 C>T single nucleotide polymorphism (SNP) in the Membrane bound O-acyltransferase domain containing 7/Transmembrane Channel-Like 4 (MBOAT7/TMC4) locus that has been shown to predispose to cirrhosis development in alcohol abusers24. However, the impact of this variant on hepatic fat accumulation and metabolism, and on liver damage related to NAFLD, is unknown.
In this work we tested the hypothesis that the MBOAT7/TMC4 is a susceptibility locus for NAFLD. We found that the locus associates with increased hepatic fat content in two cohorts and with the entire spectrum of histological liver damage related to NAFLD. This association seems to be mediated by changes in hepatic phosphatidylinositol acyl-chain remodeling.
PATIENTS AND METHODS
Study cohorts
Dallas Heart Study (DHS)
The Dallas heart study (DHS) is a multiethnic population-based probability sample of Dallas County residents. The study design and recruitment procedures have been previously described in detail25. The original cohort was enrolled between 2000 and 2002, and all participants as well as their spouses or significant others were invited for a repeat evaluation in 2007-2009 (DHS-2). The study was approved by the Institutional Review Board of University of Texas Southwestern Medical Center and all individuals provided written informed consent. During each visit, all participants completed a detailed survey including questions about demographics, socioeconomic status, medical history, and current medication use, and underwent a health examination that involved measurement of blood pressure, anthropometry, blood and urine sample collection, and imaging studies. Ethnicity was self-reported. Hepatic triglyceride content was measured with proton magnetic resonance spectroscopy (1H-MRS) as previously described26, 27. The present investigation includes a total of 3854 individuals (51% African-Americans, 30% European-Americans, 17% Hispanics, and 2% other ethnicities), who provided blood samples for genetic and lipidomic analysis and underwent imaging studies during the initial or the follow-up visit. All analyses were based on cross-sectional data. Lipidomic analyses were restricted to 3447 DHS-1 participants. Hepatic triglyceride measurements were available for a total of 2736 participants (including 2220 of the DHS-1 and 516 of the DHS-2 participants). Presence of liver steatosis was defined as hepatic triglycerides content >5.5%. Given the low prevalence of heavy drinking (>30 g/day), we did not exclude subjects based on alcohol intake.
Liver Biopsy cross-sectional Cohort
The Liver Biopsy cross-sectional Cohort has been previously described12. Briefly, a total of 1201 individuals of European descent were consecutively enrolled in four European centers: 1149 out of 1201 individuals were included in the present study. Forty-eight percent were from Milan (the Metabolic Liver Diseases outpatient service and from the Fondazione IRCCS Ca’ Granda Ospedale Policlinico Milano, Milan, Italy)28, 23% were from the Gastrointestinal & Liver Unit of the Palermo University Hospital, Palermo, Italy29, 12% were children and adolescences from the Bambino Gesù Children's Hospital, Rome, Italy30, and 16% were from the Northern Savo Hospital District, Kuopio, Finland31. The inclusion criteria were liver biopsy for suspected NASH or severe obesity, availability of DNA samples and clinical data. Individuals with increased alcohol intake (men, >30 g/day; women, >20 g/day), viral and autoimmune hepatitis or other causes of liver disease were excluded. All subjects gave written informed consent. In the present analyses the cohort is composed of 1149 individuals as compared to 1201 in our previous publication12 for two reasons: a) lack of DNA samples b) lack of informed consent from the patient to proceed with this specific genetic analysis. Diagnosis of NASH was based on the presence of steatosis with lobular necro-inflammation and ballooning or fibrosis. Disease activity was assessed according to the NAFLD Activity Score (NAS); fibrosis was staged according to the recommendations of the NAFLD clinical research network3. The scoring of liver biopsies was performed by independent pathologists unaware of patients’ status and genotype. This information was provided in the previous publications using this cohort12, 32. The concordance between pathologists within this cohort was very good for fibrosis and good for steatosis with a coefficient inter-observer agreements for fibrosis, steatosis grade, lobular inflammation and ballooning of 0.89, 0.76, 0.60 and 0.55.
Genotyping
All DHS participants included in the current study were previously genotyped for rs58542926 (TM6SF2 E167K), rs738409 (PNPLA3 I148M), and rs641738 (MBOAT7/TMC4) using the Illumina Infinium HumanExome BeadChip, as described9, 10. The genotype frequencies for rs641738 were in Hardy-Weinberg equilibrium in European-American and Hispanic participants of the DHS (p=0.95 and p=0.79, respectively, using the exact test for HWE33). However, a small deviation from HWE was found in African-Americans included in our analytical sample (p=0.04). Since no deviation from HWE was observed in the entire sample of African-Americans genotyped using the Exome chip (p=0.1), this deviation is likely due to random sampling rather than genotyping error.
The Liver Biopsy cross-sectional Cohort has been genotyped for the rs58542926 (TM6SF2 E167K) and rs738409 (PNPLA3 I148M) as previously described12. The rs641738 MBOAT7/TMC4 genotyping has been performed in duplicate by TaqMan 5’-nuclease assays (Life Technologies, Carlsbad, CA). In this population, partially selected due to referral for suspected steatohepatitis, there was a borderline deviation from Hardy Weinberg equilibrium. The duplicate genotype concordance rate was 100%.
Gene Expression in human tissues and human primary hepatic cells
Real-Time quantitative PCR (qPCR) was used to assess MBOAT7 and TMC4 mRNA expression in a selection of 14 human tissues using TissueScan Human Normal cDNA Array (Origene, Rockville, MD; USA). The MBOAT7 and TMC4 mRNA were assessed in human primary hepatocytes (ScienceCell, Carlsbad, CA, USA), human primary hepatic stellate cells and human primary hepatic sinusoidal endothelial cells (ScienceCell). The mRNA expression levels were determined using TaqMan probes and master mix (Life Technologies) according to the manufacturer's protocol.
Generation of stable cell line overexpressing MBOAT7
Human wild type MBOAT7 cDNA was synthetized and cloned into a pcDNA3.1 vector (Thermo Fisher Scientific, Rockford, IL, USA) with a V5 epitope tag (coding for a 14-amino-acid sequence: GKPIPNPLLGLDST) at the C-terminus and before the stop codon by GeneArt Gene Synthesis (Thermo Fisher Scientific). Human liver carcinoma (HepG2) cellswere transfected with MBOAT7 pcDNA 3.1 using TurboFect (Thermo Scientific, Rockford, IL, USA) reagent according to the manufacturer's protocol. Forty-eight hours after transient transfection, cells were treated with 500 g/ml of geneticin-G418 (Life Technologies), to select resistant cells. After 15 days, three single colonies per each genotype were selected and expanded.
Membrane fractionationation
Endoplasmic reticulum, crude mitochondrial, purified mitochondrial, mitochondria-associated membrane fractions were separated as previously described34.
Lipid droplets were separated as previously described35. One ml from the bottom of the tube was collected as a negative fraction control and indicated as infranatant.
Next, post-nuclear supernatant, cytosol, endoplasmic reticulum, crude mitochondria, pure mitochondria, mitochondria-associated membrane, lipid droplets and infranatant were analyzed by immunoblotting.
Gene expression analysis in liver biopsies
Patients
MBOAT7 and TMC4 hepatic gene expression was measured in a subset of 98 obese patients belonging to the Milan cohort, after percutaneous liver biopsy performed during bariatric surgery for staging of liver damage severity, and for whom liver samples were available. These included 24 patients with normal liver histology, 28 with simple steatosis, and 46 with NASH. Informed written consent was obtained from each subject, and the study protocol was approved by the Ethical Committees of the Fondazione IRCCS Ca’ Granda of Milano.
RNA isolation
RNA was extracted from liver biopsies using Trizol reagent (Life Technologies), according to the manufacturer's instruction. One μg of total RNA was retro-transcribed by using the VILO random hexamers synthesis system (Life Technologies). Gene expression was evaluated by Real-Time qPCR, and performed by the 7500 Fast thermocycler (Life Technologies), using the Taqman Universal PCR Master Mix (Life Technologies) and Taqman probes for human MBOAT7 and TMC4. All reactions were delivered in triplicate, and data were normalized to beta-actin gene expression. Association analysis between rs641738 variant (additive model) and gene expression was conducted by the PLINK v1.07 genetic analysis software.
Immunoblotting
Proteins were separated by electrophoresis and transferred to nitrocellulose membranes. Immunoblot analysis was performed according to standard procedures. Protein lysates were extracted from liver biopsies of 21 obese patients, using RIPA buffer. Seven samples for each rs641738 genotype (CC/CT/TT) were collected and pooled according to genotype. All reactions were performed in duplicate.
The following antibodies were used: mouse anti-V5 (Invitrogen-Life Technologies), rabbit anti-calnexin (Sigma-Aldrich, Saint Louis, Missouri, USA), mouse anti-COXIV (Cell Signalling, Beverly, MA, USA), mouse anti-FACL4 (Abcam, Cambridge, UK), rabbit anti-MBOAT7 (LENG4, lot number: B1315, Santa Cruz Biotechnology, Santa Cruz, CA), goat polyclonal anti-β-actin (Santa Cruz Biotechnology).
Lipidomic analysis
Lipids were measured in fasting plasma samples from 3447 DHS-1 participants using high resolution mass spectrometry which consisted of Ultra Performance Liquid Chromatography coupled with a hybrid quadrupole orthogonal time of flight mass spectrometer (UPLC-QTOF, Waters Corp., Milford, MA) The data was collected in positive and negative ion electrospray using accurate mass mode so that elemental compositions were obtained <5ppm. Quantification of lipids was achieved by reference to appropriate heavy labeled deuterated internal standards for each lipid class detected. In total, 14 distinct species of phosphatidylinositol (PI) and 9 free fatty acids (FFA) were measured and analyzed in the present study. Lipid side chain composition is denoted by a:b, where a is the number of carbons in the side chain and b the number of double bonds. The precise composition of PI species (position of the double bonds and the distribution of carbon atoms in the two side-chains) was not determined with the lipidomics analysis described above.
Statistical analysis
For descriptive statistics, continuous variables are shown as mean and standard deviation or median and interquartile range. Categorical variables are presented as number and proportion. For the DHS, demographic, anthropometric, and clinical characteristics of participants were compared using linear regression (for continuous) and logistic regression (for categorical characteristics). All models were adjusted for age, gender, ethnicity, statin use (triglyceride and LDL cholesterol), BMI and IFG/T2DM (triglyceride and hepatic triglycerides content), PNPLA3 I148M and TM6SF2 E167K genotype (hepatic triglycerides content). The odds of hepatic steatosis per MBOAT7/TMC4 rs641738 T alleles were estimated by logistic regression models and adjusted for ethnicity, age, gender, BMI, IFG/T2DM, PNPLA3 I148M and TM6SF2 E167K genotypes. All genetic analyses were performed assuming an additive model (by coding the genotypes as 0, 1, and 2 for wild-type homozygotes, heterozygotes, and alternate allele homozygotes, respectively). Interactions among genes and between genes and environmental factors were tested by adding the corresponding gene × gene and gene × environment interaction terms to the multivariable-adjusted regression models.
For the Liver Biopsy cross-sectional Cohort, characteristics of participants were compared across MBOAT7/TMC4 genotypes using linear regression (for continuous characteristics) and logistic regression (for categorical characteristics). All models were adjusted for age, gender, body mass index (BMI), impaired fasting glucose (IFG)/ type 2 diabetes mellitus (T2DM), the number of PNPLA3 148M alleles, for the presence of the TM6SF2 E167K variant, and study cohort when appropriate. The association between the MBOAT7/TMC4 rs641738 variant and the components of the NAFLD activity score (severity of steatosis, necro-inflammation, and ballooning) have been tested by multivariate ordinal regression analysis adjusted for age, gender, BMI, presence of IFG/T2DM, the number of PNPLA3 148M alleles, presence of the TM6SF2 E167K variant, and indication of liver biopsy (severe obesity vs. nonalcoholic fatty liver with increased liver enzymes). Logistic regression models adjusted for age, gender, BMI, IFG/T2DM, the number of PNPLA3 I148M alleles, presence of the TM6SF2 E167K variant (wild type vs. heterozygotes+homozygotes, due to the presence of few homozygotes) and the number of MBOAT7/TMC4 rs641738 T alleles, and indication for liver biopsy (severe obesity vs. increased liver enzymes in NAFLD) were fit to test the association with binary traits (steatosis, NASH, and fibrosis).
Population attributable risk of genetic variants on histological traits has been estimated as previously described36.
Statistical analyses were carried out using the IBM Statistical Package for Social Sciences (IBM SPSS, version 19.0, Inc. Chicago, IL, USA) or R statistical analysis software version 3.2.0 (http://www.R-project.org/). P-values <0.05 were considered statistically significant.
RESULTS
The MBOAT7/TMC4 rs641738 variant increases hepatic triglyceride content
To test whether the minor (T) allele of rs641738 was associated with hepatic steatosis we first examined the differences in hepatic triglyceride content by rs641738 genotype in participants of the Dallas Heart Study with available liver spectroscopy (n=2736). Carriers of the minor T allele had higher hepatic triglyceride content than homozygotes for the common allele [median (interquartile range) =3.5% (2-6) in CC, 3.6% (2-7) in CT, and 4.1% (2-8) in TT; p=0.005, Figure 1]. Each copy of the T allele increased the odds of hepatic steatosis by 20% (p=0.006) after correction for demographic and anthropometric (age, gender, BMI), clinical (IFG or T2DM and statin use) and genetic (PNPLA3 I148M and TM6SF2 E167K) factors (Table 1). No differences in clinical, anthropometrical and biochemical indices, including aminotransferases, were found across the MBOAT7 rs641738 genotypes in the Dallas Heart Study (Supplementary table 1). Importantly, rs641738 was not associated with average alcohol intake or the prevalence of heavy drinking (>30 g/day) (Supplementary table 1), and the association of rs641738 with hepatic steatosis was unchanged after an additional adjustment for alcohol intake (p=0.005) or after removing heavy drinkers from analysis (p=0.004). When we stratified the analysis by ethnic groups, the minor T allele was associated with higher hepatic triglyceride content only in African Americans (p=0.019, Supplementary table 2) although a comparable (but not statistically significant) increase in hepatic triglyceride content was observed in European-Americans. Conversely, the association with hepatic steatosis remained significant only in European Americans (Table 1: OR: 1.37; 95% CI: 1.09-1.72; p=0.007). The estimated odds ratio in African Americans was directionally consistent (OR = 1.17), but not statistically significant.
Table 1.
Ethnic | Hepatic steatosis |
||
---|---|---|---|
Group | OR | 95% CI | P-value |
All | 1.20 | 1.05 - 1.37 | 0.006 |
African American | 1.17 | 0.97 - 1.43 | 0.110 |
European American | 1.37 | 1.09 - 1.72 | 0.007 |
Hispanic American | 0.99 | 0.72 - 1.37 | 0.97 |
OR: odds ratio; CI: confidence interval
Odds ratios and confidence intervals were computed using logistic regression models, assuming an additive effect of rs641738 (by coding the genotypes 0, 1, 2 for CC, CT, and TT, respectively) adjusted for ethnicity, age, gender, BMI, IFG/T2DM, PNPLA3 I148M and TM6SF2 E167K genotypes.
We did not see an interaction effect among PNPLA3, TM6SF2 and MBOAT7 variants on mean hepatic triglyceride content or the risk of hepatic steatosis (p>0.05). Instead the three genetic variants appeared to act in an additive fashion, with a step-wise increase in mean hepatic fat content per each additional risk allele (Supplementary figure 1).
The MBOAT7/TMC4 rs641738 variant increases the risk of the entire NAFLD spectrum
To confirm the finding and test whether the MBOAT7/TMC4 locus was also associated with disease severity, we genotyped the rs641738 variant in a large cohort of individuals (n=1149) with suspected nonalcoholic steatohepatitis, namely the Liver Biopsy Cohort (Supplementary table 3). Success rate of genotyping was >99%. In this population, partially selected due to referral for suspected steatohepatitis, there was a borderline deviation from Hardy-Weinberg equilibrium (p=0.017, Supplementary table 4).
The association of MBOAT7/TMC4 genotype with the spectrum of liver damage related to NAFLD is shown in table 2. In multivariate logistic regression analysis each T allele conferred an increased risk of steatosis (OR: 1.42; 95% CI: 1.07-1.91; p=0.015), NASH (OR: 1.18; 95% CI: 1.00-1.40; p=0.050) and clinically significant fibrosis stage F2-4 (OR: 1.30; 95% CI: 1.06-1.70; p=0.012) after adjustment for demographic and anthropometric (age, gender, BMI), clinical (indication for liver biopsy, IFG/T2DM) and genetic (PNPLA3 I148M and TM6SF2 E167K) factors.
Table 2.
Steatosis | NASH | Fibrosis F2-F4 | |||||||
---|---|---|---|---|---|---|---|---|---|
OR | 95% CI | P-value | OR | 95% CI | P-value | OR | 95% CI | P-value | |
Age, years | 1.01 | 0.99-1.02 | 0.32 | 1.01 | 1.00-1.02 | 0.17 | 1.02 | 1.01-1.04 | <0.001 |
Gender, F | 0.44 | 0.28-0.69 | <0.001 | 0.66 | 0.51-0.86 | 0.002 | 0.66 | 0.47-0.91 | 0.011 |
BMI, Kg/m2 | 0.96 | 0.94-0.98 | 0.001 | 1.01 | 0.99-1.03 | 0.13 | 0.98 | 0.95-0.99 | 0.014 |
IFG/T2DM, yes | 1.43 | 0.86-2.45 | 0.17 | 1.93 | 1.41-2.64 | <0.001 | 2.95 | 2.07-4.23 | <0.001 |
PNPLA3, number of I148M alleles | 1.90 | 1.37-2.68 | <0.001 | 1.70 | 1.41-2.04 | <0.001 | 1.63 | 1.32-2.02 | <0.001 |
TM6SF2, E167K | 1.64 | 0.85-3.50 | 0.14 | 1.62 | 1.12-2.39 | 0.010 | 1.41 | 0.92-2.12 | 0.11 |
rs641738, number of T alleles | 1.42 | 1.07-1.91 | 0.015 | 1.18 | 1.00-1.40 | 0.050 | 1.30 | 1.06-1.70 | 0.012 |
OR: odds ratio; CI: confidence interval; BMI: body mass index, IFG: impaired fasting glucose; T2DM: type 2 diabetes mellitus.
Logistic regression models were used to test the association of demographic, clinical, and genetic factors with liver damage. In addition to predictors shown above, models were adjusted for statin use and indication for liver biopsy (severe obesity vs. increased liver enzymes in NAFLD. Genetic analyses were calculated by using an additive model, except for TM6SF2 where a dominant model was used due to few homozygotes for the 167K mutant allele.
The reference group was defined by the absence of steatosis, NASH and fibrosis (F0-F1). NASH diagnosis was based on the criteria reported in the Methods section.
The impact of MBOAT7/TMC4 genotype on the single components of liver damage associated with NAFLD in multivariate ordinal regression analysis, adjusted for covariates as specified above, is shown in figure 2. The minor (T) allele was associated with a higher degree of liver steatosis (p=0.045), more severe necro-inflammation (p=0.008) and more advanced fibrosis (p=0.027). No differences in clinical, anthropometric or biochemical parameters including serum aminotransferases and circulating lipids were detected across MBOAT7/TMC4 genotypes (Supplementary table 3).
We next examined the proportion of attributable risk conferred by the MBOAT7, PNPLA3 and TM6SF2 genetic variants. As expected, the PNPLA3 I148M variant had the largest impact on the whole spectrum of liver damage, while the MBOAT7/TMC4 rs641738 variant had generally a larger impact than the E167K TM6SF2 variant (Supplementary table 5). Finally, there was no interaction effects among PNPLA3, TM6SF2 and MBOAT7 variants on histological traits in the Liver Biopsy Cohort (all p-values >0.5).
MBOAT7 is highly expressed in the liver and is attached to endoplasmic reticulum, mitochondria-associated membranes and lipid droplets
As a first step to elucidate the role of MBOAT7 and TMC4 in liver disease we examined the mRNA expression of these two genes in several human tissues (Figure 3 A). MBOAT7 is expressed in many human tissues including the liver where it is expressed with a >10 fold higher expression than TMC4. We next examined the MBOAT7 and TMC4 mRNA expression in three different human hepatic cell types, namely hepatocyte, hepatic stellate cells and hepatic sinusoidal endothelial cells. Overall, the mRNA expression levels were high in all three human cell types (ct in hepatocytes = 25; stellate cells = 26; sinusoidal cells = 23) with the highest expression in sinusoidal endothelial cells. TMC4 was expressed at a very low level in all three hepatic cell types (ct > 32 in all three cell types see Figure 3 B). The intracellular localization of the endogenous MBOAT7 was therefore evaluated in human hepatoma cell line (HepG2). We observed MBOAT7 co-localizing with purified endoplasmic reticulum (ER) membranes, lipid droplets (LD) and with mitochondria-associated membranes (MAM), but not with pure mitochondria membranes (Figure 4 A, B, C). To confirm our data we examined the localization of a recombinant V5 tagged MBOAT7 in membrane fractions of HepG2 stably overexpressing this V5 recombinant protein (see supplementary figure 2) and we obtained identical results. We next examined MBOAT7 protein levels in human liver samples, in HepG2 and in a NAFLD-hepatocellular carcinoma cell line (HCC137) as shown in supplementary figure 3. We observed a similar synthesis of MBOAT7 in human liver and in tumor cell lines.
The rs641738 associates with lower MBOAT7 protein levels in the liver
To investigate whether the mechanism whereby rs641738 variant predisposes to NAFLD is by changing the gene expression, we examined hepatic mRNA levels of MBOAT7 and TMC4 in a subset of patients for whom liver samples were available (n=98). This subgroup is representative of the whole cohort, as the rs641738 T allele was associated with the presence and the severity of steatosis (p=0.01 and p=0.04, respectively, Figure 4 D). We found that MBOAT7 mRNA levels were about 20-fold higher than those of TMC4 (p<0.001). Importantly, the rs641738 T allele was associated with lower MBOAT7 mRNA levels (estimate −0.08±0.03; p=0.03; p=0.049 after adjustment for age, sex, presence of T2DM and the severity of liver disease). Conversely, there was no significant association between rs641738 and TMC4 mRNA levels. Finally, we examined MBOAT7 protein levels in liver biopsies of 21 obese individuals (7 for each genotype) and found that the number of T alleles was associated with lower protein expression (p<0.005, see Figure 4 E). These data suggest that the rs641738 T allele may predispose to NAFLD by down-regulating the MBOAT7 expression and synthesis.
The rs641738 associates with differences in phosphatidyl-inositol species in plasma
MBOAT7, also known as lysophosphatidylinositol acyltransferase 1 (LPIAT1), is an enzyme involved in the phospholipid acyl-chain remodeling, that catalyzes a desaturation of the second acyl-chain of phospholipids and specifically transfers polyunsaturated fatty acids such as arachidonoyl-CoA to lyso-phosphatidylinositol (LPI) and other lyso-phospholipids38. To test the hypothesis that the rs641738 association is due to changes in MBOAT7 activity we examined the differences in the concentration of phosphatidylinositol species and free fatty acids in plasma samples of the Dallas Heart Study participants (Table 3). We found significant differences in absolute levels of most of the 14 species of PI examined. In line with the reduction of enzyme synthesis associated with the risk variant, the T allele was associated with a PI composition pattern suggestive of lower levels of arachidonoyl-PI/total PI (e.g., PI 36:4) and with higher levels of oleyl-PI/total PI linoleoyl-Pl/total PI ratios (e.g., PI 36:2, PI 34:1, PI 34:2) (Table 3). We observed even stronger signal when we looked at the pairwise ratios between the concentrations of individual PI species, particularly ratios of PI containing polyunsaturated fatty acid chains to those most likely composed of saturated and monounsaturated fatty acid chains (e.g., PI 36:4/PI 34:2). These differences were highly significant across all three major ethnic groups in the DHS (Figure 3 C). We found no differences across genotypes in circulating levels of free fatty acids (Supplementary table 6) or any other class of lipids measured, including triglycerides, cholesteryl esters, phospholipids, ceramides, and sphingomyelins (data not shown).
Table 3.
rs641738 |
||||||
---|---|---|---|---|---|---|
Metabolite | N | CC | CT | TT | Beta (SE) | P-value |
PI 32:1 | 3341 | 0.050 (0.031-0.087) | 0.058 (0.034-0.102) | 0.064 (0.041-0.131) | 0.15 (0.02) | 1.5 × 10−9 |
PI 34:1 | 3341 | 0.31 (0.23-0.41) | 0.33 (0.25-0.45) | 0.37 (0.27-0.51) | 0.19 (0.03) | 1.4 × 10−14 |
PI 34:2 | 3341 | 0.48 (0.37-0.63) | 0.496 (0.38-0.66) | 0.561 (0.43-0.72) | 0.19 (0.02) | 2.0 × 10−14 |
PI 36:1 | 3249 | 0.25 (0.18-0.35) | 0.27 (0.19-0.37) | 0.29 (0.21-0.40) | 0.14 (0.03) | 4.1 × 10−8 |
PI 36:2 | 3341 | 1.00 (0.79-1.25) | 1.04 (0.83-1.33) | 1.12 (0.92-1.45) | 0.20 (0.02) | 3.6 × 10−16 |
PI 36:3 i1 | 3341 | 0.30 (0.23-0.39) | 0.31 (0.24-0.40) | 0.33 (0.25-0.45) | 0.09 (0.02) | 0.0004 |
PI 36:4 | 3341 | 0.64 (0.49-0.85) | 0.63 (0.48-0.82) | 0.60 (0.46-0.80) | −0.08 (0.02) | 0.0013 |
PI 38:3 i1 | 3341 | 0.444 (0.346-0.613) | 0.436 (0.336-0.583) | 0.423 (0.318-0.545) | −0.15 (0.02) | 1.9 × 10−10 |
PI 38:4 | 3341 | 3.38 (2.56-4.51) | 3.39 (2.51-4.52) | 3.28 (2.43-4.61) | −0.03 (0.03) | 0.21 |
PI 38:5 | 3341 | 0.52 (0.36-0.73) | 0.50 (0.34-0.69) | 0.48 (0.34-0.66) | −0.10 (0.02) | 2.6 × 10−5 |
PI 38:6 | 3341 | 0.069 (0.045-0.098) | 0.072 (0.046-0.102) | 0.080 (0.052-0.113) | 0.15 (0.02) | 9.2 × 10−10 |
PI 40:3 | 3341 | 0.33 (0.11-0.69) | 0.31 (0.12-0.67) | 0.30 (0.11-0.59) | −0.02 (0.03) | 0.50 |
PI 40:4 | 3249 | 0.049 (0.034-0.078) | 0.051 (0.035-0.078) | 0.053 (0.036-0.085) | 0.06 (0.03) | 0.026 |
PI 40:6 | 3247 | 0.14 (0.10-0.20) | 0.15 (0.10-0.21) | 0.17 (0.11-0.24) | 0.14 (0.03) | 5.8 × 10−8 |
PI 32:1 / Total PI | 3341 | 0.0062 (0.0038 - 0.01) | 0.0068 (0.0041 - 0.011) | 0.0077 (0.005 - 0.0127) | 0.16 (0.03) | 1.3 × 10−10 |
PI 34:1 / Total PI | 3341 | 0.036 (0.029 - 0.046) | 0.039 (0.031 - 0.049) | 0.044 (0.035 - 0.053) | 0.21 (0.03) | 2.7 × 10−16 |
PI 34:2 / Total PI | 3341 | 0.056 (0.045 - 0.07) | 0.059 (0.047 - 0.073) | 0.065 (0.051 - 0.08) | 0.21 (0.02) | 1.7 × 10−17 |
PI 36:1 / Total PI | 3249 | 0.03 (0.022 - 0.04) | 0.032 (0.024 - 0.042) | 0.035 (0.025 - 0.044) | 0.12 (0.03) | 1.5 × 10−6 |
PI 36:2 / Total PI | 3341 | 0.12 (0.1 - 0.14) | 0.13 (0.1 - 0.15) | 0.13 (0.11 - 0.16) | 0.21 (0.03) | 2.7 × 10−16 |
PI 36:3 i1 / Total PI | 3341 | 0.036 (0.028 - 0.044) | 0.036 (0.028 - 0.045) | 0.038 (0.031 - 0.05) | 0.09 (0.02) | 3.4 × 10−4 |
PI 36:4 / Total PI | 3341 | 0.075 (0.06 - 0.094) | 0.074 (0.058 - 0.091) | 0.071 (0.055 - 0.086) | −0.14 (0.03) | 8.7 × 10−8 |
PI 38:3 i1 / Total PI | 3341 | 0.054 (0.042 - 0.069) | 0.052 (0.041 - 0.066) | 0.05 (0.039 - 0.061) | −0.18 (0.02) | 2.0 × 10−13 |
PI 38:4 / Total PI | 3341 | 0.41 (0.33 - 0.49) | 0.4 (0.33 - 0.48) | 0.39 (0.32 - 0.46) | −0.07 (0.03) | 0.0058 |
PI 38:5 / Total PI | 3341 | 0.064 (0.042 - 0.085) | 0.06 (0.042 - 0.081) | 0.058 (0.041 - 0.076) | −0.12 (0.03) | 1.6 × 10−6 |
PI 38:6 / Total PI | 3341 | 0.0082 (0.0056 - 0.011) | 0.0085 (0.0059 - 0.0113) | 0.0091 (0.0063 - 0.0126) | 0.15 (0.02) | 4.6 × 10−9 |
PI 40:3 / Total PI | 3341 | 0.038 (0.014 - 0.078) | 0.036 (0.014 - 0.081) | 0.033 (0.013 - 0.07) | −0.02 (0.03) | 0.41 |
PI 40:4 / Total PI | 3249 | 0.006 (0.0042 - 0.0088) | 0.0062 (0.0043 - 0.009) | 0.0064 (0.0044 - 0.0087) | 0.04 (0.03) | 0.10 |
PI 40:6 / Total PI | 3247 | 0.018 (0.011 - 0.024) | 0.018 (0.012 - 0.025) | 0.02 (0.014 - 0.027) | 0.11 (0.03) | 1.8 × 10−5 |
PI 36:3 i1 / PI 34:2 | 3341 | 0.63 (0.5 - 0.78) | 0.61 (0.49 - 0.78) | 0.61 (0.48 - 0.76) | −0.12 (0.03) | 3.0 × 10−6 |
PI 36:4 / PI 34:2 | 3341 | 1.4 (1.1 - 1.7) | 1.3 (1 - 1.5) | 1.1 (0.9 - 1.3) | −0.38 (0.02) | 1.6 × 10−53 |
PI 38:3 i1 / PI 36:2 | 3341 | 0.46 (0.37 - 0.56) | 0.42 (0.34 - 0.52) | 0.37 (0.3 - 0.45) | −0.39 (0.02) | 5.1 × 10−62 |
PI 38:4 / PI 34:1 | 3341 | 10.9 (7.5 - 16.1) | 10 (6.9 - 14.7) | 8.8 (5.8 - 13.3) | −0.15 (0.03) | 1.1 × 10−9 |
PI 38:5 / PI 36:2 | 3341 | 0.54 (0.39 - 0.73) | 0.49 (0.34 - 0.66) | 0.44 (0.31 - 0.58) | −0.28 (0.02) | 8.1 × 10−30 |
PI 38:6 / PI 38:3 i1 | 3341 | 0.15 (0.1 - 0.22) | 0.16 (0.11 - 0.23) | 0.19 (0.12 - 0.27) | 0.26 (0.02) | 4.2 × 10−29 |
PI 40:3 / PI 34:1 | 3341 | 0.99 (0.36 - 2.48) | 0.91 (0.34 - 2.21) | 0.74 (0.27 - 1.78) | −0.11 (0.03) | 5.4 × 10−6 |
PI 40:4 / PI 38:3 i1 | 3249 | 0.11 (0.08 - 0.15) | 0.12 (0.09 - 0.16) | 0.13 (0.1 - 0.17) | 0.20 (0.02) | 1.3 × 10−16 |
PI 40:6 / PI 38:3 i1 | 3247 | 0.33 (0.21 - 0.46) | 0.36 (0.24 - 0.5) | 0.43 (0.28 - 0.55) | 0.24 (0.02) | 5.5 × 10−24 |
Values are median (interquartile range). Concentrations and ratios of concentrations of PI species were compared across genotypes using linear regression, adjusted for age, gender, and ancestry. Additive model was assumed for the genotype. Metabolite concentrations were transformed using an inverse normal transformation prior to analysis to achieve approximate normality. Beta coefficients are in s.d. units. i: denotes isomers of lipid subclass
DISCUSSION
In this work we show for the first time an association of rs641738 C>T genetic variant in the MBOAT7/TMC4 locus with increased risk of the entire spectrum of NAFLD.
The MBOAT7/TMC4 was recently identified as a locus involved in alcoholic cirrhosis33. Since alcoholic and nonalcoholic cirrhosis share the major common genetic risk determinants, namely the PNPLA3 I148M and TM6SF2 E167K variants9, 10, we tested the hypothesis that MBOAT7/TMC4 was associated with an increased risk of NAFLD and liver damage development. We observed a higher hepatic fat content in two cohorts: measured by MRS in a multiethnic general population from the US, the Dallas Heart Study; and by histological evaluation in at-risk individuals of European descent, the Liver Biopsy Cohort. In the Liver Biopsy Cohort, the rs641738 T risk allele was also associated with higher severity of necro-inflammation and fibrosis. The observed association of rs641738 with NASH was borderline significant. This may be due to the fact that the variant was associated with necro-inflammation, but not with hepatocellular ballooning (Figure 2). Most importantly the MBOAT7 variant was independently associated with development of fibrosis (Table 2 and Figure 2), which represents the major determinant of the prognosis of patients with NAFLD39, 40. These results show a substantial overlap between genes involved in the pathogenesis of alcoholic and nonalcoholic liver disease, indicating that these conditions have a common etiology involving altered regulation of hepatic lipid metabolism.
Interestingly, as previously reported for PNPLA3 and TM6SF2 variants, the rs641738 polymorphism was not associated with indices of insulin resistance suggesting that moderate differences in hepatic fat content or inflammation do not cause insulin resistance, and that NASH is rather a consequence than a cause of insulin resistance.
Notably, our previous genome-wide association studies that identified PNPLA3 and TM6SF2 variants failed to detect the association of MBOAT7/TMC4 with liver fat content. This is due to the modest effect size of rs641738 on hepatic TG content and the conservative significance thresholds used in genome-wide studies in order to guard against false positive signals. Our results indicate that there are additional loci affecting liver fat that remain to be discovered. Concerning the mechanism underpinning the association, as a first step to elucidate the role of MBOAT7/TMC4 locus in liver disease we examined the expression of the two genes in a panel of human tissues. While MBOAT7 was expressed in a wide range of human tissues, it had a ten-fold higher expression in the liver as compared to TMC4. At a cellular level MBOAT7 but not TMC4 was highly expressed in human hepatocytes, sinusoidal endothelial and stellate cells. In hepatoblastoma cells stably overexpressing MBOAT7 the recombinant protein was localized specifically in membrane fractions rich in phospholipids34 i.e.: the endoplasmic reticulum and the mitochondria-associated membranes. These data are consistent with previous published data41.
As rs641738, to our knowledge, is not in linkage with non-synonymous functional variants of MBOAT7, we next examined the impact of this variant on mRNA and protein levels of MBOAT7 stratified by rs641738 genotype. We observed a reduction in both mRNA expression and protein synthesis associated with the risk T allele, suggesting that the mechanism underlying the association is related to lower enzymatic activity due to lower protein levels. We do not know whether rs641738 is causing the decreased expression of MBOAT7 or whether the observed association is due to linkage disequilibrium between rs641738 and variants in the 3'UTR of MBOAT7 (e.g., rs8736, r2>0.95 in the CEU population from the 1000 genomes project42), which may influence mRNA stability/translation. MBOAT7, also known as lysophosphatidylinositol acyltransferase 1 (LPIAT1), is an enzyme involved in the phospholipid acyl-chain remodeling, known as the Lands’ cycle43. MBOAT7 specifically transfers polyunsaturated fatty acids such as arachidonoyl-CoA to lysophosphatidylinositol (LPI) and other lyso-phospholipids38. Furthermore, a recent genome-wide association study showed that variants in the MBOAT7 locus were associated with arachidonic acid-containing metabolites44. As a further step to demonstrate that the rs641738 association is due to changes in the MBOAT7 activity, we examined the differences in the concentration of phosphatidylinositol in plasma samples of Dallas Heart Study participants. In line with the predicted protein function, we observed significant differences in the levels of multiple PI species, but not the other lipid classes. Although we could not establish the precise fatty acid chain composition of the individual PI species, the observed association pattern of the T allele was broadly suggestive of lower levels of arachidonoyl-PI/total PI, docosapentaenoyl-PI/total PI and with higher levels oleyl-PI/total PI, linoleoyl-Pl/total PI and docosahexanoyl-PI/total PI ratios. Even bigger differences were observed for the ratios between the concentrations of pairs of PI species. In cases where a pair of PI species is likely related to the substrate and product of a given enzymatic reaction, such ratios can serve as a surrogate for enzymatic activity45. The observed associations are therefore strongly indicative of reduced enzymatic activity. These data are consistent with the changes found in liver PI levels of a MBOAT7 KO mouse46. Taken together, these data suggest that rs641738, or the variant causing decreased MBOAT7 expression, predisposes to NAFLD/NASH by affecting the acyl remodeling of phosphatidylinositol in the liver. Interestingly, it has recently been shown that genetic deletion of liver Mboat5, which has similar enzymatic activity, is associated with fatty liver development due to altered lipid kinetics within hepatocytes47. Furthermore, higher levels of circulating bioactive proinflammatory metabolites of arachidonic acid were reported in patients with NASH48. Several limitations of this study should be noted. The analyses of hepatic fat content and hepatic steatosis in the DHS stratified by ethnic group were underpowered, given the modest effect size of MBOAT7/TMC4 rs641738. Biopsies were performed in two different settings: either for suspected NASH or at the time of bariatric surgery and this may affect the true estimate of the effect of the genotypes. The impact of the MBOAT7 genetic variant on all histological traits in NAFLD was smaller than that of acquired risk factors, such as hyperglycemia. Our analyses were not designed to predict NALFD progression or to see whether the addition of genetic variants to clinical parameters may improve their discrimination accuracy. Finally, an independent replication cohort would have further strengthened the results concerning the association of the MBOAT7 variant with progressive liver disease.
In conclusion, we showed an association between variation in the MBOAT7 locus, and the development and severity of NAFLD in individuals of European descent. This association is mediated by lower hepatic protein expression of MBOAT7 resulting in changes in the hepatic phosphatidylinositol acyl-chain remodeling. Further studies are needed to understand whether rs641738 is the causal variant or is in linkage disequilibrium with a causal variant, and to elucidate the mechanism linking altered hepatic PI remodelling to NAFLD development and progression.
Supplementary Material
Acknowledgments
Grant support: This work was supported by the Swedish Research Council [Vetenskapsrådet (VR), 254439006], the Swedish Heart Lung Foundation [244439007], the Swedish federal government funding under the Agreement on Medical Training and Medical Research (ALF) [76290], the Novonordisk Foundation Grant for Excellence in Endocrinology [244439012], the Swedish Diabetes Foundation [DIA 2014-052] (S.R.), the Wilhelm and Martina Lundgren Science Fund (R.M.M, P.P, B.M.M and S.R.), the Nilsson-Ehle funds from the Fysiografiska Sällsk-apet in Lund (R.M.M.) and from Ricerca Corrente Fondazione Ca’ Granda IRCCS Policlinico of Milan, Associazione Malattie Metaboliche del Fegato ONLUS, and the Fondazione Policlinico – INGM Molecular Medicine grant 2014-2016, My First AIRC Grant project code 16888 (L.V.). The Dallas Heart Study was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under award number UL1TR001105 (J.K.).
Abbreviations
- ALT
alanine transaminase
- AST
aspartate transaminase
- BMI
body mass index
- CI
confidence interval
- ct
threshold cycle
- DHS
Dallas Heart Study
- HDL
high density lipoproteins
- ER
endoplasmic reticulum
- HWE
Hardy-Weinberg equilibrium
- IFG
impaired fasting glucose
- LD
lipid droplets
- LDL
low density lipoproteins
- LPIAT1
lysophosphatidylinositol acyltransferase 1
- MAM
mitochondria-associated membrane
- MBOAT7
Membrane bound O-acyltransferase domain containing 7
- NAFLD
nonalcoholic fatty liver disease
- NAS
NAFLD Activity Score
- NASH
nonalcoholic steatohepatitis
- OR
odds ratio
- PNPLA3
Patatin-like phospholipase domain-containing-3
- T2DM
type 2 diabetes mellitus
- TG
triglycerides
- TM6SF2
Transmembrane 6 superfamily member 2
- TMC4
Transmembrane Channel-Like 4
- PI
phosphatidylinositol
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Author contributions: The authors’ responsibilities were as follows: SR, LV and JK, designed research, wrote, reviewed and edited the manuscript; RMM, PD and JK performed statistical analysis and wrote, reviewed and edited the manuscript; PP and BMM performed and interpreted the in vitro experiments, reviewed and edited the manuscript; MM, SP, RR, JB, TM, AP, OW, GH, RS, AC, SF and JP contributed to discussion and reviewed the manuscript, JCP and DFR acquired and interpreted the lipidomic data, and SR, JK and LV had primary responsibility for final content.
All authors read and approved the final manuscript.
Disclosures: The authors declare no conflict of interest.
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