Skip to main content
Biomedicines logoLink to Biomedicines
. 2021 Sep 30;9(10):1359. doi: 10.3390/biomedicines9101359

Genetics Is of the Essence to Face NAFLD

Marica Meroni 1, Miriam Longo 1,2, Giada Tria 1, Paola Dongiovanni 1,*
Editor: Jun Lu
PMCID: PMC8533437  PMID: 34680476

Abstract

Nonalcoholic fatty liver disease (NAFLD) is the commonest cause of chronic liver disease worldwide. It is closely related to obesity, insulin resistance (IR) and dyslipidemia so much so it is considered the hepatic manifestation of the Metabolic Syndrome. The NAFLD spectrum extends from simple steatosis to nonalcoholic steatohepatitis (NASH), a clinical condition which may progress up to fibrosis, cirrhosis and hepatocellular carcinoma (HCC). NAFLD is a complex disease whose pathogenesis is shaped by both environmental and genetic factors. In the last two decades, several heritable modifications in genes influencing hepatic lipid remodeling, and mitochondrial oxidative status have been emerged as predictors of progressive hepatic damage. Among them, the patatin-like phospholipase domain-containing 3 (PNPLA3) p.I148M, the Transmembrane 6 superfamily member 2 (TM6SF2) p.E167K and the rs641738 membrane bound-o-acyltransferase domain-containing 7 (MBOAT7) polymorphisms are considered the most robust modifiers of NAFLD. However, a forefront frontier in the study of NAFLD heritability is to postulate score-based strategy, building polygenic risk scores (PRS), which aggregate the most relevant genetic determinants of NAFLD and biochemical parameters, with the purpose to foresee patients with greater risk of severe NAFLD, guaranteeing the most highly predictive value, the best diagnostic accuracy and the more precise individualized therapy.

Keywords: NAFLD, heritability, personalized medicine, lipid handling, polygenic risk scores

1. Introduction

Nonalcoholic fatty liver disease (NAFLD) is the most frequent chronic liver disorder of the 21st century, affecting at least one third of the general population [1,2,3]. Due to its epidemic proportion, NAFLD constitutes a huge socio-economic and health issue [4] and it is predicted to become the leading cause of hepatocellular carcinoma (HCC) and the main indication of liver transplantation by 2030 [5]. NAFLD is defined by ectopic fat deposition exceeding 5% of liver weight, in absence of alcohol consumption. It embraces a variable phenotypic rainbow of hepatic abnormalities, spreading from uncomplicated steatosis to its progressive form, nonalcoholic steatohepatitis (NASH), characterized by lobular inflammation, hepatocyte ballooning degeneration and fibrosis. NASH may then evolve towards end-stage liver injuries, such as cirrhosis and HCC [6,7].

NAFLD is epidemiologically related to obesity, insulin resistance (IR) and atherogenic dyslipidemia so much so it is considered the hepatic manifestation of Metabolic Syndrome [8,9]. Hence, according to a recent international consensus, the nomenclature of NAFLD has been updated from NAFLD to metabolic dysfunction-associated fatty liver disease (MAFLD), to better outline patients in which hepatic steatosis occurs in the presence of obesity or type 2 diabetes (T2D) or metabolic abnormalities [10].

However, NAFLD has an intricate pathogenesis and 50–70% of the individual susceptibility to develop the disease as well as its phenotypic variability are attributable to inherited risk factors [11]. The most robust genetic predictors of NAFLD are single nucleotide polymorphisms (SNPs) in genes regulating hepatic lipid turn-over, reshaping and dismissal, among which patatin-like phospholipase domain-containing 3 (PNPLA3), transmembrane 6 superfamily member 2 (TM6SF2), membrane bound o-acyltransferase domain-containing 7 (MBOAT7) and Glucokinase regulator (GCKR) [11]. Even more, along with the heritable variations, gene-environment interactions may also explain the discrepancies in NAFLD phenotypic variability, possibly amplifying the effect due to individual sequence variations [12,13]. For instance, the associations between common variants and NAFLD may be unmasked by the increased adiposity, thus enhancing the genetic risk [14]. In addition, among the different actors who play a role in NAFLD pathophysiology, a new point of view is constituted by intestinal dysbiosis, enhanced intestinal permeability and microbial harmful by-products [15,16].

Nowadays, liver biopsy remains the gold standard procedure for diagnosis of NAFLD and no therapeutic consensus exists for its treatment [9,17]. However, the combination of inherited factors and dynamic clinical parameters, which can be influenced by lifestyle and pharmacological interventions, may be effective to identify reliable score-based approaches aimed to predict liver damage and to tailor therapeutic options [9,17].

In summary, this review aimed to offer a systematic overview of the genetic risk factors currently known to be related to NAFLD pathogenesis, particularly addressing to their assessment to ameliorate non-invasive disease diagnosis and to personalize the clinical management of the disease.

2. Historical Overture to Discover the Link between Genetics and NAFLD

In the last decade, it has been broadly elucidated that obesity and IR are the leading risk factors for NAFLD. However, at equal body mass index (BMI), there is a widespread variability in the clinical manifestation of NAFLD, supporting the notion that other jeopardizing factors may be engaged into fatty liver onset and progression. Indeed, familial, twin and epidemiological studies pinpoint that both steatosis and fibrosis have a huge inherited component [18,19].

The first robust evidence regarding NAFLD hereditability has been provided by Struben et al. [20], who studied the familial pattern distribution of cryptogenic cirrhosis in 18 members of 8 kindreds, containing 2 or more afflicted members. These authors revealed that the coexistence of NASH with or without cirrhosis within kindreds suggests a common etiology of these disorders, possibly caused by the shared genetic background and by the elevated frequency of obesity and T2D in these families. Then, large population-based studies more precisely outlined the magnitude of NAFLD predisposition due to genetics. Indeed, Speliotes and colleagues [21] attested the hereditability of hepatic steatosis at 26−27% in a population-based consortia including 6629 subjects of European descent. This estimate has been confirmed by Wagenknecht et al. in 795 Hispanic American and 347 African-American adults who participated to the Insulin Resistance Atherosclerosis Study (IRAS) Family Study [22].

More in detail, in a familial aggregation study, Schwimmer et al. revealed that family members of overweight children with biopsy-proven NAFLD had an increased predisposition to develop hepatic steatosis compared to obese children without NAFLD [23]. Thus, a familial NASH aggregation is frequent, raising up to 18% in subjects having a similarly affected first degree relative [24].

In addition, approximately 60% of the variation in serum alanine aminotransferase (ALT) as well as in circulating insulin concentrations, which are strictly correlated with hepatic fat content, are genetically determined in absence of other confounders, such as viral hepatitis or alcohol abuse, as yielded by the twin studies [25]. Loomba et al. demonstrated that both hepatic steatosis and fibrosis, non-invasively assessed, were tightly connected in monozygotic twins compared to dizygotic ones [26]. In a multivariate generalized model, adjusted for age, gender and ethnicity, the percentages of hereditability of hepatic steatosis and fibrosis were claimed at 52% and 50%, respectively. Moreover, in the same cohort, Cui et al. revealed a high degree (~75.6%) of shared genetic components between hepatic steatosis and fibrosis, irrespectively of environmental factors [27]. Likewise, cardiovascular comorbidities related to NAFLD, such as carotid plaques formation and abnormal intima-media thickness, have been reported to be strongly hereditable in a cohort of 208 adult Hungarian twins with NAFLD (63 monozygotic and 41 dizygotic pairs) [28].

The large disparity in NAFLD heritability which has been observed in different cohorts may be attributable to ethnicity [18,19]. Firstly, Wagenknecht and collaborators attested the much greater contribute (33%) of the genetic milieu on NAFLD onset in the Hispanic cohort belonging to the IRAS Family Study, compared to the African American one (14%) [22]. According to these findings, two large multi-ethnic population studies highlighted that Hispanics have a higher risk to develop NAFLD than Europeans [29,30]. Furthermore, there are discrepancies within the same ethnic group and amongst Hispanics, Mexicans have much higher prevalence of NAFLD compared to Dominicans or those from Puerto Rico [31]. Conversely, it has been confirmed the protection of African-Americans against NAFLD, irrespectively of T2D, overweight and socioeconomic factors, corroborating the role of heritability in NAFLD pathophysiology [11]. Indeed, African-Americans differed in the metabolic response to obesity and IR when compared to either Hispanics or Caucasians, resulting more resistant to triglyceride (TG) accumulation both in adipose tissue and in the liver [32].

A burgeoning number of heritable factors have been recognized as genetic modifier of NAFLD [11]. Specifically, Dongiovanni and colleagues, postulated that hepatic fat content constitutes the main driver of the evolution towards end-stage injuries in genetically predisposed subjects, thus indicating that each genetic variation exerts an effect on the spectrum of NAFLD, directly proportional to its ability to induce fat accumulation [33]. To date, the best known common inherited predictors of progressive NAFLD are the variants in PNPLA3, TM6SF2, MBOAT7 and GCKR genes. However, given the challenging genetic framework of NAFLD, an impressive amount of novel inherited risk factors has been picked out through candidate gene association studies, genome wide association studies (GWAS) or exome wide association studies (EWAS). Thus, the most arduous challenge in the study of genetics of NAFLD is to postulate score-based systems which take into account polygenic determinants of NAFLD, that may guarantee the most highly predictive value, the best diagnostic accuracy and the more precise individualized therapy [34,35].

2.1. PNPLA3: Gambling on the Winning Horse

A turning point in our knowledge about the genetic contribution to NAFLD pathogenesis has been yielded by the first GWAS of NAFLD conducted in 2008 in a North American population of diverse ethnicity [36]. This screening allowed to identify, for the first time, the rs738409 C > G variant in Patatin Like Phospholipase Domain Containing 3 (PNPLA3) gene, encoding the aminoacidic substitution isoleucine to methionine at the position 148 (p.I148M), as the genetic variant most tightly associated with hepatic fat accumulation. The risk effect of the rs738409 variant on fatty liver onset and progression towards more severe liver damage is the strongest ever reported for a common variant, attesting the proportion of the total variance attributed to this polymorphism at 5.3% [37]. Nowadays, the p.I148M PNPLA3 variation is still considered the most robust genetic predictor of the inter-individual and ethnicity-related differences in hepatic fat content and the primary risk factor for severe NAFLD.

The frequency distribution of the G minor allele is higher in Hispanics (49%) than in Europeans (23%) and less frequent in African Americans (17%), thereby justifying the higher prevalence of fatty liver in the former [36]. Consistently, the p.I148M variant confers a markedly increased odds to develop progressive NAFLD even in Asian populations. Even though the distribution of this variation is relatively high in Chinese individuals (around 30%), the prevalence of fatty liver is somewhat lower in East Asia, reaching the 25% in Japan, 18% in South Korea and 15% in China. However, due to lifestyle modifications, the incidence of NAFLD has been dramatically escalated in the last years. Thus, the control of weight gain and genetic assessment are strongly recommended even in both Asiatic adults and children [38].

PNPLA3 gene codifies for a 481-aminoacid membrane lipase, located in the endoplasmic reticulum (ER) and at the lipid droplet (LD) surface in hepatocytes, adipocytes and in hepatic stellate cells (HSCs) [39,40]. An interaction between PNPLA3 and environmental factors exists. Indeed, its expression is modulated by sterol regulatory element-binding protein 1 (SREBP1c)/liver X receptor (LXR) and by carbohydrate response element binding protein (ChREBP), both activated by post-prandial or pathological hyperinsulinemia. Then, at post-transcriptional level, PNPLA3 protein levels are regulated by excessive amount of fatty acids, inhibiting their degradation [41,42]. Thus, sucrose and fructose over-consumption, physical inactivity and overweight foster the detrimental effect of the p.I148M variant [14,43,44]. As a consequence, the relationship between the rs738409 variant and NAFLD may be uncovered by the obesity [14]. Notwithstanding, the p.I148M variant boosts NAFLD towards NASH and fibrosis, even in lean subjects defined by BMI less than 25 kg/m2 [45].

In physiological conditions, PNPLA3 exerts its function hydrolyzing the lysophosphatidic acid to phosphatidic acid, whereas the p.I148M variant greatly troubles its enzymatic activity [46,47]. As a result, patients carrying the at-risk allele display elevated transaminases, accompanied by an enhanced incidence of all histological features related to fatty liver, including NASH, advanced fibrosis and HCC and modifying the response to therapeutic approaches [48]. Moreover, a high-throughput metabolic profiling of PNPLA3 silenced Huh-7 cells demonstrated that PNPLA3 depletion is associated with a global metabolic perturbation, reducing several amino acids and polyunsaturated fatty acids (PUFAs). Conversely, PNPLA3 p.I148M overexpression is associated with a 1.75-fold increase in lactic acid, suggesting a shift to anaerobic metabolism and mitochondrial respiratory chain dysfunction, supporting a critical role of PNPLA3 in the modulation of liver metabolism beyond its classical participation to TG remodeling [49]. Hence, hepatic specific overexpression of p.I148M in mice promotes steatosis and NASH, by priming the metabolic reprogramming and the activation of inflammatory pathways driven by either increased TG and ceramide species and reduced PUFA [50]. However, the role of PNPLA3 in lipid handling remains to be fully outlined.

Neither Pnpla3 genetic defect nor Pnpla3 wild-type (wt) over-expression in mice prompts steatosis [47,51,52], while mice carrying the p.I148M knock-in (KI) acquire fatty-laden hepatocytes upon a high-sucrose diet challenge [53]. In these mice, Pnpla3 silencing improved the hallmarks of NAFLD and hepatic fibrosis [54]. In detail, it has been recently reported that the deleterious effect of the p.I148M variation is due to its interfering with the correct hydrolytic properties of other lipases, among which the adipose TG lipase (ATGL)/patatin-like phospholipase domain-containing 2 (PNPLA2) and directly by interacting with its cofactor, the comparative gene identification-58 (CGI-58) [55]. Indeed, p.I148M overexpression raised hepatic TG concentrations in wt, but not in Cgi-58 knock-out (KO) mice, indicating that the PNPLA3 mutation may prompt hepatic steatosis, hindering ATGL/PNPLA2 activity on LDs in a CGI-58-dependent manner. Similar findings have been observed in brown adipocytes [56]. In addition, the p.I148M modification abolishes PNPLA3 ubiquitylation and proteasomal degradation resulting in the accumulation of the PNPLA3 mutated protein on LD surface, thus impairing TG mobilization and dampening TG dismissal [57,58]. BasuRay et al. engineered a PNPLA3 synthetic isoform that disentangles its two detrimental properties: the accumulation of the protein on LD and the loss of enzymatic activity [59]. In mice, the expression of an ubiquitylation-resistant form of Pnpla3 fosters the gathering of Pnpla3 mutated protein on hepatic LDs. In addition, in mice overexpressing Pnpla3 p.I148M the softening of Pnpla3 expression by shRNA or by or proteolysis-targeting chimera (PROTAC)-mediated degradation reduced TG storages [59]. In keeping with these findings, tissue expression of PNPLA3 is significantly enhanced in biopsies of patients carrying the p.I148M polymorphism, whereas the rare rs2294918 PNPLA3 (p.E434K) variant attenuates the impact of the p.I148M on steatosis and circulating liver enzymes in NAFLD patients, whereby down-modulating PNPLA3 expression on the LDs (up to 50%) [57,60]. In addition, Schwartz and collaborators demonstrated that momelotinib, a drug used in clinical trials to treat myelofibrosis, may represent an effective modulator of PNPLA3 expression, yielding >80% reduction in PNPLA3 mRNA levels and hampering intracellular lipid content in human primary hepatocytes and stellate cells [60]. Another possible mechanism underlying the TG engulfment in hepatocytes carrying the p.I148M variant is linked to the impairment of lipophagy in hepatocytes, thus dampening autophagic fluxes and LD degradation [61].

Luukkonen et al. [62], established, through a lipidomic approach, that TG in very-low density lipoproteins (VLDL) are depleted of PUFAs in p.I148M homozygous individuals during both fasting and feeding conditions. Therefore, in p.I148M hepatic cells, PUFA incorporation into TG is exacerbated and PUFA-containing diacylglycerols (DAGs) are gathered, at the expense of phosphatidylcholines (PCs) [62]. Hepatic lipid composition of DAG species may, in turn, greatly impact on insulin sensitivity. However, these modification in hepatic DAG composition has been not supported by Franko and colleagues [63], who corroborated the notion that PNPLA3 variation is strictly correlated with fatty liver, but not with IR, whereby uncoupling these two NAFLD features. Indeed, IR-related NAFLD is marked by elevated concentrations of metabolically harmful saturated and mono-unsaturated TG, ceramides and free fatty acids (FFAs), whereas PNPLA3-related NAFLD by hepatic PUFA-containing TG. These observations may possibly clarify why metabolic NAFLD and not PNPLA3-related NAFLD, is tightly correlated with enhanced risk of T2D and cardiovascular comorbidities [64]. In addition, excessive deposition of PUFA-containing lipids has been noticed also in the adipose tissue of patients carrying the p.I148M, in whom the mutation did not modify the rate of lipolysis or the composition of circulating FFAs [65]. Conversely, recent findings indicate that PNPLA3 p.I148M confers an antiatherogenic plasma lipid profile in insulin-resistant individuals [66].

Intriguingly, PNPLA3 mutated protein may impair retinol release from HSCs [67], directly precipitating fibrogenesis and carcinogenesis irrespective of steatosis [68,69,70,71]. Indeed, NAFLD patients carrying the G allele harbor a peculiar histological pattern, depicted by exaggerated macro and microvesicular steatosis, portal inflammation, conspicuous proliferation of hepatic progenitor cells (HPCs), prominent ductular reaction, extensive myofibroblast and HSCs activation, thus sustaining portal fibers formation and severe systemic oxidative stress [72]. Furthermore, the different hepatic cell populations are characterized by various metabolic regulation of PNPLA3. Indeed, its expression is higher in α-SMA positive cells and it correlates with fibrosis stage in NASH patients [73].

Finally, the PNPLA3 p.I148M variant has been also reported to be associated with hepatic decompensation and liver-related death in a prospective study [74], with enhanced risk of fibrosis and HCC in patients affected by viral hepatitis or alcoholic liver disease (ALD) and with poor prognosis in patients affected by autoimmune hepatitis, regardless of steatosis [75,76,77].

2.2. TM6SF2 Loss-of-Function in NAFLD

In 2014, an EWAS ascertained the missense rs58542926 C > T variant in the Transmembrane 6 superfamily member 2 (TM6SF2) gene which encodes the lysine to glutamate substitution at residue 167 (p.E167K) as a determinant of hepatic TG content, serum aminotransferases and lower serum lipoproteins [78]. TM6SF2 gene codifies for a regulator of cholesterol biosynthesis, which acts in hepatic VLDL lipidation and assembly in the ER cisternae and in ER-Golgi compartments [78,79,80,81,82,83,84,85,86,87]. Smagris and colleagues highlighted for the first time in Tm6sf2−/− mice that TM6SF2 protein is essential for neutral lipid mobilization during VLDL construction [80]. Consequently, TM6SF2 silencing alters hepatic lipid composition, affecting the synthesis of PC-containing PUFAs in both HuH7 cell lines and in human livers. The imbalance between PUFAs-conjugated PC and free PUFAs, in turn, impair VLDL gathering and induces the production of TG and cholesterol-esters clusters thus perturbing membrane dynamics [83,85]. O’Hare and colleagues explored the role of TM6SF2 in small intestine of zebrafish and in Caco-2 enterocytes, and they observed that TM6SF2-deficiency induces LD buildup, decreases lipid clearance and favors ER stress [88]. Notably, it has been hypothesized that TM6SF2 may also play an enzymatic function converting zymosterol into 5-α-cholesta-7,24-dien-3β-ol, during cholesterol synthesis [82].

The TM6SF2 p.E167K substitution generated a misfolded protein which may run into rapid intracellular turnover and degradation, further determining its hepatic 50% downregulation in HuH7 hepatocytes [78]. Tm6sf2 KO mice develop hepatic steatosis, caused by VLDL retention and they reduced circulating cholesterol [78]. Consistently, the presence of lower serum cholesterol and TG concentrations has been validated in individuals carrying the minor T allele in large cohort of NAFLD patients and in population-based studies such as the Dallas Heart Study (DHS), the Dallas Biobank and the Copenhagen Study [78,88,89]. In addition, Liu J Dajiang and collaborators found more than 400 coding and noncoding variants which influenced metabolic traits and plasma lipids. Among them, the p.E167K resulted as one of the causal variants that mainly mitigated circulating TG levels and increased risk of fatty liver and T2D [90].

Several studies indicated that the p.E167K mutation strikingly impacts on hepatic TG content, causing higher degree of steatosis, and also it was associated with elevated transaminases and with histological inflammation, ballooning and fibrosis in both pediatric and adult patients [91,92,93,94]. Interestingly, the missense rs58542926 polymorphism conferred protection against cardiovascular complications, hampering serum low density lipoprotein (LDL) concentration. Overall, these findings have supported the hypothesis that the minor T allele may defend against cardiovascular events, but it worsens liver disease severity in NAFLD patients [89,95,96].

The impact and the prevalence of the p.E167K mutation differs across the ethnic groups and across subjects characterized by different visceral adiposity. In particular, it has been reported that it modifies the risk of fatty liver only in Caucasian and Afro-American obese children [92]. Furthermore, in lean biopsied NAFLD patients the p.E167K allele predisposes to IR in both hepatic and adipose tissues [97]. Notably, the TM6SF2 rs58542926 variant has a higher prevalence in non-obese normo-lipemic patients compared to obese ones [98].

The majority of data supported that TM6SF2 loss-of-function alters lipid metabolism and increases the susceptibility to NAFLD spectrum [89,94,99], although its association fibrosis and HCC is still controversial [86,99,100]. For example, Sookoian and coworkers did not find any associations between the TM6SF2 mutation and transaminases, inflammation and fibrosis in 361 NAFLD individuals possibly due to the low frequency of the polymorphism and lack of statistical power [100]. Conversely, Liu et al. reported that the T risk allele conferred an increased predisposition to develop NAFLD-related advanced fibrosis in two independent cohort regardless of other confounders as gender, sex, BMI, T2D and PNPLA3 rs738409 genotype [101]. The association between the rs58542926 variation, hepatic fibrosis and HCC was further observed in a cross-sectional and in a small cohort studies including 502 and 129 NAFLD patients, respectively [99,102]. Finally, a meta-analysis considering 24,147 individuals with heterogeneous chronic liver disorders, associated the p.E167K polymorphism with higher risk of cirrhosis and HCC rather than viral hepatitis, especially in alcohol abusers [103,104]. In keeping with this evidence, the p.E167K variant correlated with alcohol-related HCC in 511 cirrhotic patients and in a prospective cohort of 249 ALD patients [105,106].

2.3. MBOAT7: A Common Modifier of Liver Damage

MBOAT7, also known as lyso-phosphatidylinositol (Lyso-PI) acyl-transferase1 (LPIAT1), is an enzyme that participate to the “Lands’ Cycle” of phospholipid acyl-chain remodeling of the membranes. MBOAT7 is highly expressed in human hepatocytes, sinusoidal endothelial cells, immune cell subsets, HSCs and less expressed in cholangiocytes [107,108,109]. It is localized in the membrane bridging ER and mitochondria in which LD and fat biosynthesis occur. It conjugates an acyl-CoA to the second acyl-chain of lyso-phospholipids, using arachidonoyl-CoA as substrate. Therefore, it regulates phospholipid desaturation and free arachidonic acid levels, precursor of dangerous eicosanoids [110]. As a matter of fact, in neutrophils MBOAT7 activation has been related to anti-inflammatory processes, by limiting the availability of free arachidonic acid for the synthesis of Leukotriene B4, a strong chemoattractant mediator [111].

MBOAT7 is involved in multiple aspects of neuronal development in brain, where arachidonic acid is the most enriched PUFA. Mboat7 KO mice die within a month and show a severe neuronal impairment [112,113]. Consistently, inactivating variants in MBOAT7 lead to intellectual disability accompanied by epilepsy and autistic features in patients [114,115].

In 2015, the first GWAS regarding the inherited determinants of cirrhosis in heavy drinkers, identified the common rs641738 C > T variant close to MBOAT7, as a novel mediator of the susceptibility to hepatic injuries [116,117]. Afterwards, Mancina and Dongiovanni, corroborate these findings, demonstrating that the rs641738 variant associates with the predisposition towards hepatic fat accumulation and to the entire phenotypic umbrella of liver injuries related to NAFLD, among which HCC [107,118,119].

MBOAT7 variant was linked to elevated total body fat percentage, transaminases and C-reactive protein levels in pediatric individuals [120] and with enhanced ALT and more severe steatosis and fibrosis in children with NAFLD, showing a synergistic effect with PNPLA3 p.I148M, and TM6SF2 p.E167K variants on pediatric NAFLD risk [121], also confirmed in adult patients [34,35,122].

Noteworthy, the rs641738 inherited variation has also been as associated with early fibrosis in viral hepatitis B and C, constituting a shared modulator of liver injuries [123,124]. Even more, rare loss-of-function variations in MBOAT7 have been found to be associated with HCC in NAFLD patients [125]. The association between the rs641738 variant and liver abnormalities remains disputed, mainly due to the different sample size and ethnicity of the cohorts enrolled in the studies or to the diverse assessment of hepatic steatosis [126,127,128,129,130]. However, a meta-analysis validated the associations between the rs641738 variant and liver fat, ALT, histological severity of NAFLD, fibrosis and HCC at least in individuals of European descent [131]. Specifically, it has been reported that in T allele carriers, the total risk of NAFLD, advanced fibrosis and HCC is attested at 20%, 30% and 40% more compared to non-carriers, respectively.

Mancina and Dongiovanni have widely showed that the mechanisms underlying these associations is related to blunted hepatic MBOAT7 gene and protein expressions, thus perturbing PI species composition [109,118], as then supported by Luukkonen’s observations [119]. According to the impaired hepatic MBOAT7 enzymatic activity, patients carrying the T allele displayed changes in plasma and hepatic PI species, decreasing specifically PI enriched in omega-3 PUFA and arachidonic acid [118,119]. However, these remarks have been not fully replicated by Sookoian, which demonstrated that MBOAT7 is down-regulated in NAFLD even independently of the rs641738 polymorphism [127].

This notion was strongly reinforced by our recent manuscript, that pinpoints that hepatic MBOAT7 down-regulation is a maladaptive response to hyperinsulinemia and that its hampered enzymatic activity forces hepatic fat storage in patients, in in vivo models representative of NAFLD and in MBOAT7 silenced HepG2 hepatoma cells (also referred to as MBOAT7−/−) [109,132]. Specifically, in presence of severe obesity and hyperinsulinemia, MBOAT7 is downmodulated both in patients and in rodents, independently of the genetic background. A possible link between MBOAT7 and IR has been provided even by Helsley and colleagues [133], who confirmed MBOAT7 suppression during IR and by Umano and coworkers, who correlated lower degree of whole-body insulin sensitivity in obese children and MBOAT7 [134].

In mice, acute MBOAT7 silencing conveys hepatic fat entrapment and MBOAT7−/− hepatocytes acquire a cell-autonomous property to accumulate giant LDs, supporting the idea that MBOAT7 may be causally involved in steatosis onset. Indeed, a derangement in MBOAT7 function contributes to accumulate saturated phospholipids, mainly, PI species that may be shunted to saturated and mono-unsaturated TG synthesis, further sustaining fatty-laden hepatocyte formation [109,132]. In line with this data, MBOAT7 breakage hustles the induction of lipogenic program, due to ER stress and to the activation of SREBP-1c, a transcription factor that coordinates the activation of genes involved in fatty acid biosynthesis [135]. The causative role of MBOAT7 in fatty liver has been independently reported by Helsley [133] and then by Tanaka [136].

Notwithstanding, MBOAT7 depletion in 3D-spheroids composed by hepatocytes and HSCs, stimulated cytokines secretion, fibrogenic markers and collagen deposition [136], due to the accumulation of the MBOAT7 substrate Lyso-PI lipids [133]. Indeed, circulating saturated Lyso-PI were found to be substantially elevated in patients affected by severe fibrosis compared to healthy individuals. In turn, Lyso-PI administration may promote hepatic lobular inflammation and fibrosis in MBOAT7 deficient mice, but not in their wt littermates [133]. Notably, this data has been further strengthened by Fondevila et al., who revealed that the increased serum Lyso-PI levels in obese NASH patients fuel the hepatic over-expression of the G protein-coupled receptor 55 (GPR55), a putative cannabinoid receptor [137]. Moreover, Lyso-PI treatment in mice and in cultured cells activated lipogenic genes and HSCs trans-differentiation, in a GPR55-dependent fashion. GPR55 deficiency ameliorated hepatic injuries in mice fed high fat, methionine low, choline deficient diet or injected with carbon tetrachloride (CCl4). Disturbances of the PI side chain reshaping in hepatocytes alone is sufficient to elicit spontaneous steatosis, and fibrosis upon a dietary induction [138].

Taken together, these observations point out that the restoration of MBOAT7 activity or a reduction of its effectors may constitute possible therapeutic interventions to manage NAFLD patients [139,140,141].

2.4. GCKR: The Jointing of Glucose Handling and Fatty Liver

Together with the already discussed PNPLA3, TM6SF2 and MBOAT7 variants, another common loss-of-function inborn mutation has been afterward identified. Specifically, the rs1260326 C > T variant in the GCKR gene, encoding the P446L aminoacidic substitution has been broadly coupled with heightened fasting TG, enlarged VLDL particles, fatty liver and metabolic abnormalities [21,130,142,143]. GCKR gene codifies the glucokinase regulatory protein, which is implicated in the regulation of glucose homeostasis and glycemic control, whereby modulating glucose influx into the hepatocytes and the consequent induction of de novo lipogenesis (DNL). For this reason, alterations of GCKR impair glucokinase redistribution between the cytosol and nucleus, thus tackling its negative modulation in response to fructose-6-phosphate and in turn, they constitutively induces glucose uptake into the hepatocytes [144]. Unrestricted hepatic glycolysis associated with carriage of the minor 446L allele leads on one hand to lower glucose and insulin levels, but on the other hand to extended malonyl-CoA concentrations, which in turn may favor hepatic fat accumulation by serving as a substrate for lipogenesis and by blocking fatty acid oxidation through the inhibition of carnitine-palmitoyl transferase-1. In details, it has been shown that overweight adolescents carrying the GCKR rs1260326 in homozygosity exhibit enhanced lipid assembly, as a consequence of exasperated glycolytic carbon flux to TG synthesis and the effect of the minor T risk allele was impressively amplified by adiposity [14,145].

The co-presence of the two common PNPLA3 and GCKR at-risk alleles may favor the gathering of TG produced by the conversion of carbohydrate in more packed LDs. These alterations may justify up to 32% of variability in hepatic fat deposition in Caucasian obese children, 39% in African-Americans and 15% in Hispanics [143]. The additive effect of the GCKR and PNPLA3 variants escalated the NAFLD [146], NASH and HCC odds [146,147]. Moreover, the GCKR variant increased the susceptibility to fibrosis onset coupled with increased circulating TG in adult NAFLD patients, without affecting LDL and HDL cholesterol levels and the risk of coronary artery disease (CAD) [142,148].

2.5. Protective Inheritable Determinants: The HSD17B13 and PPP1R3B Variations

In 2018, the splice variant (rs72613567:TA) in HSD17B13 gene, encoding the hydroxysteroid 17-β dehydrogenase 13, was discovered to be associated with protection against histological steatohepatitis, fibrosis and cirrhosis in both NAFLD and ALD patients [149]. The rs72613567 is an insertion of an adenine close to the donor splice site of the last exon (TA allele), hesitating in a truncated transcript, diminished mRNA and protein levels and strongly compromised enzymatic activity of HSD17B13, which is localized on the LD surface into the hepatocytes alongside PNPLA3 [149,150,151]. The biological role of HSD17B13 remains yet-to-be-understood. However, it has been demonstrated that HSD17B13 is over-expressed on the LDs, in NAFLD subjects and in preclinical NASH models [151]. Indeed, HSD17B13 induction exacerbates the amount and size of LDs in hepatocytes [151]. On the contrary, HSD17B13 knock-down mice develop steatosis directly prompting lipogenic program in a SREBP-1c and fatty acid synthase (FAS)-dependent fashion [151]. As so far, the impact of HSD17B13 on hepatic fat content is still under definition and the protective rs72613567 variation has never been associated with an amelioration in TG content [149]. Furthermore, Kozlitina et al. [152], identified another loss-of-function inherited modification in the HSD17B13 gene (c.573delC, rs143404524), more common in African-Americans than in Hispanics or Caucasians. The latter might be responsible for protection against the development of chronic liver injuries. In a case-control study, Pirola et al. [153], stated that TA allele offers protection against histological NASH and fibrosis in NAFLD patients. This notion has been further corroborated in a recent GWAS which described a stronger protective effect of the HSD17B13 variant in the context of steatohepatitis rather than fibrosis [130].

The likely mechanism which underlies these genetic associations seems to be due to an increased concentrations of hepatic phospholipids in carriers compared to non-carriers, that is coupled to a reduction of pro-inflammatory genes [154]. Furthermore, the rs72613567 loss-of-function mutation has been correlated to decreased transaminase levels and to a reduced risk of HCC in 111,612 subjects belonging to the Danish general population and in 3315 European descent, respectively [155,156]. According to these findings, among differentially expressed genes related to HCC glycolysis, HSD17B13 has been emerged as critical modulator of this metabolic process. Enhanced cellular glycolysis for energy production predicts adverse clinical outcomes and poor prognosis in many types of human cancers, especially HCC. Indeed, cancer cells primarily exploit this via in response to exaggerated energy demand to support cell survival and rapid proliferation (phenomenon known as Warburg effect). Therefore, modulation of HSD17B13 expression and activity might potentially represent a new avenue to design targeted therapies for the treatment of HCC [157].

An intriguing interaction between HSD17B13 rs72613567 and PNPLA3 p.I148M has been described. Indeed, the HSD17B13 TA allele mitigates the impact of the p.I148M variant on liver damage, although it does not ameliorate hepatic fat accumulation [149]. Moreover, the lowering effect of HSD17B13 variant on transaminases is amplified in carriers of the p.I148M allele [155]. A very recent high-throughput screening of circulating metabolites revealed that risk alleles in PNPLA3 and in HSD17B13 were both associated with higher 3-methylglutarylcarnitine and reduced levels of Lyso-PCs [158]. In sum, this data suggests that HSD17B13 modulation especially in patients carrying the PNPLA3 G allele may constitute a potential therapeutic approach in the management of chronic liver diseases.

An alternative protective player against hepatic disorders is exemplified by the rs4841132 G > A variation, which strengthens the expression of the Protein Phosphatase 1 Regulatory Subunit 3B (PPP1R3B) gene, involved in glycogenesis [21,159]. As a consequence, although it is responsible for a reduced NAFLD risk, it may facilitate glycogen synthesis and storage [159,160]. Indeed, in preclinical models, hepatic genetic deficiency of PPP1R3B lowers the abundance of glycogen synthase, glucose incorporation into glycogen, total hepatic glycogen levels and fasting plasma glucose [161]. The complex impact of PPP1R3B variation on steatosis and progressive liver injuries is still debated. Notwithstanding, Dongiovanni and colleagues [160], elucidated that the rs4841132 variant is associated with protection against steatosis and fibrosis, hesitating into a reduced risk of HCC in patients with NAFLD, but not in individuals from general population.

3. Genetic Signature of Glucose and Lipid Metabolism in NAFLD

In the last decades, it clearly emerged that IR is a key player in NAFLD pathogenesis [162,163]. In particular, IR strongly predicts the severity of hepatic fibrosis [162], the main determinant of NAFLD prognosis [164], and advanced fibrosis often occurs in NAFLD patients with T2D, even independently of inflammation and NASH [165,166].Therefore, genetic variants that suppress the activation of insulin signaling may induce fibrosis in NAFLD [167]. The rs1801278 (G972R) loss-of-function mutation in insulin receptor substrate (IRS1) and the gain-of-function one in the ectonucleotide pyrophosphatase/phosphodiesterase1 (ENPP1) 121Q genes were both related to dyslipidemia, obesity and hepatic fibrosis [167]. On the contrary, the rs2954021 variant in tribbles homolog1 (TRIB1), involved in the modulation of hepatic glycogen storage, affected plasma glucose, TG and cholesterol levels [168].

Similarly, other variations in genes governing hepatic lipid handling and release predispose to fatty liver. For instance, variants within Apolipoprotein B (APOB), involved in VLDL organization and secretion, have been associated with a protection against cardiovascular complications, due to the lowering of circulating lipoproteins and in turn, they favor severe hepatic fat depot formation, that may foster the progression of liver injury up to HCC [125,169]. Moreover, even microsomal triglyceride transfer protein (MTTP) inherited alterations may prompt VLDL retention [170].

In addition, two common promoter variants in the apolipoprotein C3 (APOC3) (APOC3 T-455C and C-482T), a component of chylomicrons, VLDL and HDL cholesterol particles, may predispose to steatosis in Indians, but not in other ethnic groups, supporting the notion that genetic factors modulating TG metabolism outside of the liver are less implicated in the onset of progressive NAFLD [171,172,173].

Likewise, Dongiovanni et al. [174], elucidated that the proprotein convertase subtilisin/kexin type 7 (PCSK7) rs236918 G > C variant affects fasting lipids and hepatic injury in a large cohort of NAFLD subjects, coupling atherogenic dyslipidemia with NASH and hepatic fibrosis. By stratifying patients according to the presence of the PNPLA3 p.I148M allele, the PCSK7 rs236918 polymorphism was associated with advanced steatosis. Indeed, in hepatoma cells carrying the p.I148M allele in homozygosity, PCSK7 genetic deficiency decreased the expression of genes involved in DNL, inflammation and fibrosis, even after FFA supplementation [174]. Furthermore, Huang et al. [175], revealed a correlation between the PCSK7 at-risk allele, hyperinsulinemia and homeostatic model assessment for IR (HOMA-IR) after a high-carbohydrate challenge. PCSK7 is strongly implicated in lipid homeostasis, since it is localized in a genomic region close to the gene cluster APOA5/APOA4/APOC3/APOA1, involved in lipoprotein metabolism regulation. In keeping with these findings, Pcsk7−/− mice fed HFD are characterized by elevated plasma apolipoprotein concentrations and enhanced lipoprotein lipase (Lpl) adipose tissue activity [176].

Even more, aberrancies in another member of the proprotein convertase subtilisin/kexin family, PCSK9, have been widely associated with hereditary hypercholesterolemia [177], severe fat deposition [178] and cardiovascular abnormalities [179], due to its impact on LDL uptake. PCSK9 is a nutrient sensor, and it is strongly influenced by nutritional status. Indeed, its expression declines in mice after 24 h of fasting. On the contrary, PCSK9 mRNA levels are renewed through SREBP-1c and DNL activation upon high carbohydrate refeeding or insulin stimulation [180]. Loss-of-function mutations in PCSK9 diminish plasma LDL cholesterol, without inducing steatosis [181]. For example, the PCSK9 rs11591147 (p.R46L) loss-of-function variant blunted LDL levels and protected against NAFLD, NASH and fibrosis, irrespectively of confounders [182]. Conversely, gain-of-function alterations of PCSK9 as the rs7552841 variant lead to familial hypercholesterolemia and enhance CAD risk.

Hepatic dysfunctions may be caused even by rare mutations of lysosomal acid lipase (LIPA) gene, that induce lysosomal acid lipase (LAL) defects. LAL participates to the hydrolysis of cholesteryl esters, TG and LDL into free cholesterol and fatty acids. Its functional aberrancy fosters un-hydrolyzed compounds accumulation into the hepatocytes, whereby favoring atherogenic dyslipidemia, hepatic steatosis and severe fibrosis [183,184]. In turn, LAL restoration using recombinant sebelipase alpha administration in patients for up to 5 years may improves liver enzymes, hepatic features of NAFLD and circulating lipids in patients (clinical trial NCT01488097) [185,186].

Finally, even variants that alter FFA fluxes into the liver or their catabolism, such as the rs56225452 in fatty acid transport proteins (FATP5) or the rs13412852 in Lipin1 (LPIN1), may leverage IR and steatosis [187,188].

4. Genetics of Lipid Droplets

LD accumulation in the liver is the primary hallmark of NAFLD. Compelling evidence indicates that LDs should not be considered as just ‘innocent bystander’, but conversely, they participate to multiple processes that lead to NASH. LDs are enormously dynamic, modifying their localization, size, lipid and protein composition in response to environmental stimuli and energy demand. Hence, they are engaged not only in energy expenditure to produce ATP but also in signaling pathways, acting as hubs that integrate metabolic and inflammatory processes.

Genetic risk factors may play a crucial role as modifiers of lipid composition and LD dimensions, whereby causing the alteration of the expression of LD-associated proteins, which regulates lipid storage. Thus, together with the above-mentioned p.I148M PNPLA3 and HSD17B13 rs72613567 variants, many other polymorphisms in genes implicated in LD handling have been recently associated with NAFLD. Among them, Perilipin-2 (PLIN2) rs35568725 (Ser251Pro) variant has been associated with IR and atherosclerosis, in two population studies. In particular, PLIN2 protein participates to the formation, stability and trafficking of LDs and in VLDL lipidation. The Ser251Pro mutation induces smaller, but more numerous LDs in hepatocytes, resembling microvesicular steatosis and conveying the risk of NASH in NAFLD patients [189]. The increasing number of small LDs was not translated into enhanced cellular capacity to store fat, but more so into high number of LD-associated proteins on the surface area. Thus, we could speculate that the presence of this variant may enhanced the risk related to PNPLA3 p.I148M carriage in patients. Even more, PLIN2 variant has been associated with reduced circulating TG and VLDL [190].

Similarly, the common noncoding polymorphism, rs884164 in another LD-associated gene, PLIN5, causes a down-regulation of PLIN5 expression, a protein that facilitates the association between LDs and mitochondria. The recruitment of mitochondria to LDs during conditions of high substrate availability may favor lipid catabolism. Thus, PLIN5 hampered expression is associated with a poorer outcome following myocardial ischemia and PLIN5 deficiency is related to increased oxidative stress in cardiomyocytes [191,192].

Since the degradation of cellular lipids is mediated by a selective autophagic process, named lipophagy, an impairment in this mechanism induced by genetic defects may dampen lipid β-oxidations, accelerating their accumulation. For instance, the rs10065172 variant in the autophagy-related IRGM gene may increase the risk of developing steatosis and IRGM knockdown inhibits autophagic flux and increases LD content in HepG2 cells [193]. IRGM is generally localized on endosomes/lysosomes, while in HFD-fed mice it co-localizes with ATGL/PNPLA2 at LD surface, where it recruits autophagic mediators, such as LC3B, in attempt to counteract to steatosis development. Hence, IRGM overexpression protects against hepatic lipid storage [194].

5. Advanced Liver Injuries and Genetic Variants

A series of stressful triggers may precipitate fatty liver up to NASH and severe fibrosis. Among them are included oxidative stress fostered by reactive oxygen species (ROS) overproduction, intracellular organelle derangement, i.e., ER and mitochondrial abnormalities and dysfunctions, innate immune inflammation and pro-inflammatory cytokine and chemokine release [195], intestinal high permeability and gut-derived harmful by-products (due to leaky gut) [196], and HSCs activation to myofibroblasts [197].

Interleukin 28 (IL28) gene codifies for the interferon λ3/λ4 (IFNL3/4), and the rs12979860 CC variant has been associated with interferon λ3 over-production [198]. The latter mediates the clearance of hepatitis C virus, and more aggressive NASH and fibrosis in NAFLD patients [199,200]. In particular, it has been yielded a genetic model to predict significant fibrosis, named FibroGENE, that includes the rs12979860 variant, age, gender and the routinely assessed clinical and biochemical parameters [201]. The rs12979860 is in linkage disequilibrium with the another variant, the IFNL4 rs368234815 TT > δG. Patients carrying the rs368234815 TT allele are predisposed to develop higher degree of lobular inflammation and fibrosis compared to non-carriers [202]. Contrasting findings have been observed in carriers of the rs3480 A > G variant in the fibronectin type III domain-containing protein 5 (FNDC5) gene, encoding irisin, a myokine, that intervenes in HSCs activation and collagen deposition [203,204]. The minor G allele predisposes to elevated extents of steatosis, likely by modulating irisin expression [204]. Likewise, the rs2228603 polymorphism in Neurocan, the rs12137855 variation in lysophospholipase-like 1 (LYPLAL1) and the rs10883437 SNP close to the carboxypeptidase n subunit 1 (CPN1) have been coupled to severe NAFLD [205,206].

Alongside, mounting evidence indicates that the gut-derived fibroblast growth factor (FGF) 19, engaged in lipid and carbohydrate metabolism in response to nutritional status through the binding to its hepatic receptor, fibroblast growth factor receptor 4 (FGFR4), is involved in metabolic diseases and NAFLD [207]. Dongiovanni and Crudele et al. [208], demonstrated that the rs17618244 G > A variant in the β-Klotho (KLB) gene, encoding the hepatic co-receptor of FGFR4, dampened KLB plasma levels, leading to inflammation, ballooning, fibrosis and to the over-expression of genes involved in lipotoxicity in overweight NAFLD pediatric patients [208]. Furthermore, KLB complexing with others FGFRs also binds the hormone FGF21, released from the liver and adipose tissue. In detail, FGF21 is implicated in glucose and TG uptake by white and brown adipose tissue, through the interaction with FGFR1 [209]. However, FGF21 circulating levels are paradoxically increased in obese patients and in those with NAFLD, as a protective response to KLB down-regulation and to NAFLD-induced adverse effects, e.g., lipotoxicity, oxidative and ER stress [210,211]. Thus, KLB/FGF19/FGF21 pathway may represent a druggable target in NAFLD patients through the rescue of KLB levels.

Concerning the development of fibrosis, the alternative splicing of the Krueppel-like factor 6 (KLF6) gene, that is expressed by the HSCs during their transdifferentiation, associates with mild NAFLD and reduced fibrosis [212]. Conversely, variants in HFE and TMPRSS6 genes likely by predisposing to hepatic iron depot formation are correlated with more severe fibrosis in NAFLD patients [213].

The rs4374383 non-coding variant in the macrophage c-mer tyrosine kinase (MERTK), a tyrosine kinase that initiates the removal of dying cells by phagocytes and that mediates HSCs activation, protects against fibrosis in both NAFLD and in viral hepatitis C, eliciting MERTK down-modulation [214,215]. Consistently, it has been stated that MerTK cleavage in hepatic macrophages is reduced during the transition from simple steatosis to NASH, promoting transforming growth factor β (TGF-β) release and HSCs activation [216]. Novel insights into the role of MERTK in metabolic processes, has been brilliantly proposed by Nicolás-Ávila and colleagues [217], which demonstrated that macrophages may actively entrap materials, including dysfunctional mitochondria ejected from injured cardiomyocytes through dedicated membranous particles enriched in phosphatidyl-serine (PS), with the purpose to maintain the global tissue homeostasis. This peculiar process occurs in MERTK-dependent manner, and it is driven by the cardiomyocytes’ autophagy machinery, prompted by cardiac stress. Thus, MERTK depletion abolished the removal of the exhausted mitochondria, hindered autophagic processes and resulted in the inflammasome and autophagy arrest, ultimately compromising mitochondrial fitness. Thus, this novel non-canonical route for the extrusion of cellular waste, including abnormal mitochondria and other organelles into the extracellular space, then scavenged by resident macrophages, may pave the way to potential translational implications on the study of other tissues characterized by high mitochondrial biomass and energy demand, in both healthy and disease status.

Finally, the susceptibility to fibrogenesis and carcinogenesis is also influenced by cellular senescence and cell cycle arrest. Therefore, the rs762623 in cyclin dependent kinase inhibitor 1A (CDKI1A) which encodes the cellular senescence marker p21, was significantly associated with disease progression in NAFLD [218]. Likewise, telomerase reverse transcriptase (TERT) gene loss-of-function mutations associated with familial cirrhosis and accelerated HCC [219]. Similarly, the rs599839 A > G variant, which causes the overexpression of the oncogene Proline And Serine Rich Coiled-Coil 1 (PSRC1), has been associated with enhanced HCC risk in NAFLD patients, irrespectively of fibrosis severity, and with poor prognosis and advanced tumor stage [220]. Even more, the Neurotensin (NTS) rs1800832 variant predisposes to cirrhosis and HCC in NAFLD patients likely by affecting NTS protein activity [221].

6. Mitochondrial Dysfunctions: The Tipping Point in the Switching from Simple Steatosis to Steatohepatitis

Growing evidence pinpoints the critical role of organelle abnormalities in the switching from fatty liver towards NASH. Mitochondrial anomalies are closely entangled into the pathogenesis of NAFLD so much so that it has been considered as a mitochondrial disease [222]. During early stages of NAFLD, mitochondrial activity and biomass is adapted in response to IR and to fat accumulation. However, sustained mitochondrial oxidative flux hesitates in exasperated ROS production, triggering phospholipid lipoperoxidation, cellular stress and mitochondrial DNA damage, tissue inflammation and cell death which may precipitate the progression to NASH and more advanced liver injuries [223].

In this context, the knowledge of genetically determined mitochondrial dysregulations may be determinant to predict the course of the disease. Indeed, common polymorphisms in genes regulating mitochondrial homeostasis have been associated with NAFLD and to its progressive forms. For instance, the rs4880 C47T variant in the superoxide dismutase 2 (SOD2) gene, encoding the antioxidant enzyme manganese superoxide dismutase, results in a Valine to Alanine substitution in the signal region addressing the protein to the mitochondrial matrix, where it exerts its function, and the T allele has been related to increased enzymatic activity. Thus, an higher frequency of SOD2 T/T genotype in biopsy-proven NASH patients compared to healthy controls has been reported [224]. This variant has been further associated with severe fibrosis in NAFLD patients, as a proof of concept that mitochondria-derived oxidative stress is required for fibrosing NASH onset [225].

Alongside, the homozygosity for the −866 G > A mutation in the promoter region of the uncoupling protein 2 (UCP2) gene protects against NASH, whereby enhancing hepatic UCP2 expression [226]. The latter is implicated in the regulation of mitochondrial lipid efflux and oxidative metabolism and its hepatic expression increased in NASH patients causing a proton leak and a reduction of redox pressure on the mitochondrial respiratory chain, protecting the hepatic tissue against liver damage worsening [227].

Conversely, a non-coding variant in the promoter (−55C > T, rs1800849) of another member of the UCP family, the uncoupling protein 3 (UCP3) gene has been correlated with low insulin sensitivity, IR, reduced adiponectin secretion, moderate-severe hepatic steatosis and inflammation in obese NAFLD individuals [228]. UCP3 is a mitochondrial proton transporter that protects against fatty acid-mediated oxidative stress, uncoupling the oxidative phosphorylation by increasing the proton leak of the inner mitochondrial membrane.

Sirtuins (SIRTs) are a family of nicotinamide adenine dinucleotide (NAD+)-dependent deacetylases embroiled in cellular metabolism. There are 7 distinct SIRTs in mammals (SIRT1–7), which share the catalytic core domain, but they have different subcellular localizations. Indeed, SIRT1, SIRT6 and SIRT7 are mainly localized into the nuclei, SIRT2 is primarily found into the cytoplasm, while SIRT3, SIRT4 and SIRT5 have a mitochondrial distribution [229]. SIRTs along with UCPs may modulate oxidative stress thereby influencing the risk of subclinical atherosclerosis and cardiovascular complications. Indeed, it has been demonstrated that the SIRT6 rs107251 and the SIRT5 rs12216101 were associated with an elevated susceptibility to carotid plaques formation, whereas carriers of the T allele of UCP5 rs5977238 had a lower risk, in 1018 stroke-free subjects from the Northern Manhattan Study (NOMAS) [230]. Even though cardiovascular abnormalities are recurrent in NAFLD patients, the implication of SIRTs genetic variations in this context remains to be fully elucidated.

More recently, a novel common missense variant (rs2642438 A165T) in the mitochondrial amidoxime-reducing component 1 (MARC1) gene has been identified. MARC1, also known as MTARC1 or MOSC1, encodes the mitochondrial amidoxime reducing component 1, a molybdenum-containing enzyme that regulates endogenous nitric oxide levels and biosynthesis, catalyzing the conversion of nitrite to produce nitric oxide. The A165T variant is located at the N-terminal domain which anchors the protein to the outer membrane of the mitochondria. The threonine to alanine aminoacidic substitution results in a truncating protein making the rs2642438 a loss-of-function mutation. The A165T variant has been associated with protection against all-cause cirrhosis, reduced hepatic fat content and lower levels of liver enzymes [231]. Specifically, in patients affected by alcohol-related cirrhosis MARC1 and heterogeneous nuclear ribonucleoprotein U like 1 gene (HNRNPUL1) variations has been emerged as risk modifiers of liver damage, in a GWAS of samples from the United Kingdom Biobank [232]. Afterwards, Luukkonen and collaborators [233] investigated the effect of the rs2642438 variant on the severity of NAFLD and they demonstrated that patients carrying the A165T allele had markedly lower prevalence of inflammation and fibrosis, compared to non-carriers. This effect seems to be due to the precise lipid signature that describes A165T allele carriers, displaying increased levels of hepatic polyunsaturated-PC similarly to carriers of the HSD17B13 rs72613567 variant and opposite to what the same authors observed in PNPLA3 p.I148M carriers. According to these observations, the wt forms of MARC1 are related to higher levels of sphingomyelins (i.e., C20:2), Lyso-PC (C14:0 and C15:0) and PC (C34:1 and C40:2) compared to patients carrying the A165T allele, thereby confirming the presence of a distinctive metabolomic pattern by using comprehensive metabolomics data from two population-based studies, including 9135 participants from the Fenland study and 9902 participants from the EPIC-Norfolk cohort [158]. Collectively, these observations pointed out MARC1 as a potential pharmacologic target for liver diseases without affecting cardiovascular outcomes [234], although further investigations are needed to clarify its function and its role in oxidative stress regulation. A schematic over-view of the main genetic risk factors involved in NAFLD onset and progression is represented in Figure 1 and in Table 1.

Figure 1.

Figure 1

Impact of genetics in NAFLD pathogenesis and progression towards advanced liver damage. Schematic illustration of the most relevant inherited variations involved in progressive NAFLD, shedding light into their functional effects. PNPLA3, localized at the LD surface in hepatocytes, catalyzes TG hydrolysis. The p.148M variant enhances hepatic TG content upon mutant protein accumulation, hampering TG turnover and dismissal. TM6SF2 is implicated in VLDL formation in ER and release, whereas MBOAT7 transfers arachidonoyl-CoA to Lyso-PI, maintaining membrane fluidity. Their variations dampen VLDL secretion and membrane dynamism, respectively. Viceversa, genetic variants in HSD17B13 and PPP1R3B may exert a protective effect against NAFLD. Heritable variations may also influence glucose and insulin signaling, FFA uptake, fat deposition and VLDL turnover, precipitating fatty liver. In addition, IR and elevated FFAs derived from adipose tissue lipolysis exacerbate fat depot formation induced by genetic modifiers, even activating DNL. Recently, common SNPs in modulators of mitochondrial (MT) function have been proposed as active players in the switching from steatosis to NASH and fibrosis, further corroborating the role of organelle abnormalities in these processes. Furthermore, variants in genes regulating inflammatory response and HSCs activation may precipitate fatty liver to worsened conditions. Finally, genetically determined perturbations in circulating lipids may trigger cardiovascular comorbidities. Dotted lines refer to influx and efflux processes into the hepatocyte, whereas solid lines refer to cell activation or to the transition from simple steatosis up to cirrhosis-HCC.

Table 1.

Schematic list of the main inherited variations related to the histological hallmarks of NAFLD.

Variant Gene Global MAF Function Effect Impact Phenotype
rs738409 C > G PNPLA3 0.26 (G) Lipid remodeling p.I148M Loss-of-function ↑ NAFLD, NASH, fibrosis, HCC
rs58542926 C > T TM6SF2 0.07 (T) VLDL secretion p.E167K Loss-of-function ↑ NAFLD, NASH, fibrosis
rs641738 C > T TMC4/
MBOAT7
0.37 (T) Lipid remodeling p.G17E Loss-of-function ↑ NAFLD, NASH, fibrosis, HCC
rs1260326 C > T GCKR 0.29 (T) Regulation of DNL p.P446L Loss-of-function ↑ NAFLD, NASH, fibrosis
rs72613567 T > TA HSD17B13 0.18 (TA) Lipid remodeling Truncated protein Loss-of-function ↓ NASH, fibrosis, HCC
rs4841132 G > A PPP1R3B 0.09 (A) Glycogen synthesis Non-coding Gain-of-function ↓ NAFLD, fibrosis, HCC
rs1801278 C > T IRS1 0.05 (T) Insulin signaling p.G972R Loss-of-function ↑ Fibrosis
rs1044498 A > C ENPP1 0.34 (C) Insulin signaling p.K121Q Gain-of-function ↑ Fibrosis
rs2954021 G > A TRIB1 0.45 (A) Regulation of DNL Non-coding Gain-of-function ↑ NAFLD
rs12137855 C > T LYPLAL1 0.16 (T) Lipid metabolism Intronic Loss-of-function ↑ NAFLD
Several APOB NA VLDL secretion Protein change Loss-of-function ↑ NAFLD NASH, fibrosis, HCC
Several MTTP NA VLDL secretion Protein change Loss-of-function ↑NAFLD
rs236918 G > C PCSK7 0.26 (C) Membrane transferrin receptor shedding and regulation of circulating lipids Intronic Gain-of-function ↑ NASH, fibrosis
Several PCSK9 NA LDL uptake Protein change Loss-of-function No evidence of association with steatosis
Several LIPA NA Lipid remodeling Protein change LAL deficiency ↑ NAFLD, NASH, fibrosis
rs56225452 G > A FATP5 0.16 (A) FFAs uptake Non-coding Gain-of-function ↑ NASH, fibrosis
rs13412852 C > T LPIN1 0.21 (T) Lipid metabolism Intronic Not Defined ↓ NASH, fibrosis
rs35568725 A > G PLIN2 0.02 (G) Lipid remodeling p.S251P Loss-of-function ↑ NAFLD, NASH, IR, atherosclerosis
rs884164 A > G PLIN5 0.19 (G) Lipid remodeling Non-coding Loss-of-function ↑ oxidative stress
rs17618244 G > A KLB 0.15 (A) FGF19/FGFR4 pathway p.R728Q Loss-of-function ↓ NASH, fibrosis
rs4374383 G > A MERTK 0.45 (A) Innate immunity Intronic Loss-of-function ↓ Fibrosis
rs3750861 G > A KLF6 0.07 (A) HSCs activation Splice variant IVS1-27G Loss-of-function ↓ Fibrosis
Several TERT NA Telomere maintenance Protein change Loss-of-function ↑ Fibrosis, HCC
rs12979860 C > T IL28B 0.36 (T) Innate immunity Alternative IFNL3/4
transcription
Loss-of-function ↓ NASH, Fibrosis
rs3480
A > G
FNDC5 0.42 (G) HSCs activation Non-coding Loss-of-function ↓ Fibrosis
rs4880
C > T
SOD2 0.33 (T) Mitochondrial antioxidant p.A16V Loss-of-function ↑ Fibrosis
rs695366 G > A UCP2 0.26 (A) Mitochondrial lipid metabolism Oxphos −866 promoter variant Gain-of-function ↓ NASH, fibrosis
rs2642438 G > A MARC1 0.19 (A) Mitochondrial detoxification p.A165T Loss-of-function ↓ NAFLD, NASH, fibrosis

MAF: minor allele frequency.

7. Polygenic Risk Scores (PRSs): From Bench to Bedside and Back

In the last decade, candidate gene studies and GWAS highlighted the impact of single genetic variants on progressive NAFLD. To date, similar to what has been previously carried out for other complex diseases, it is preferred to aggregate individual loci into PRSs to estimate the risk to develop severe NAFLD, by using regression models or more complex statistical tools [235]. Then, they performance should be attested by using receiver operating characteristics (ROC) curves and analyzing the area under the curve (AUROC) [236]. The combination of these scores with environmental and dynamic risk factors, considered as covariates, may represent a more appealing approach and may have a greater clinical utility to diagnose those patients at raised risk to progress to severe stages of the disease and to devise effective therapeutic strategies [237].

We have firstly exploited a mendelian randomization analysis and a PRS to prove that fatty liver is the main driver of advanced liver damage and that the effect of PNPLA3, TM6SF2, MBOAT7 and GCKR at-risk alleles on hepatic injuries is directly proportional to their ability to promote hepatic fat deposition [33]. Likewise, Di Costanzo and colleagues tested the role of metabolic and genetic variables on hepatic fat accumulation in overweight children [238]. They showed that inheritable variations may more tightly participate to fat deposition rather than IR, a well-established trigger of steatosis and fibrosis. Furthermore, hepatic fat content variability was explained for 8.7% by metabolic factors and for 16.1% by inherited PNPLA3, TM6SF2 and GCKR variations [238]. A similar approach has been used in a cohort of 2042 pediatric patients by Suomela and collaborators, who confirmed that the combination of genetic and metabolic risk factors, along with BMI, insulin levels and, PNPLA3 and TM6SF2 genetic variants, in a predictive score is more trustworthy to foresee fatty liver compared to the one used in adulthood based only on BMI and insulin [239]. Similarly, Koo and colleagues modeled a scoring system, based on genetic and clinical factors, with the pursuit to determine the risk of NASH, in Asian NAFLD patients [240]. In particular, this score which included PNPLA3 and TM6SF2 genotypes, IR, diabetes, hepatic enzymes and C-reactive protein and it was able to detect NASH with an AUROC of 0.835 (95% CI, 0.776–0.895) and of 0.809 (95% CI, 0.757–0.861) in NAFLD patients with and without diabetes, respectively.

Moreover, Krawczyk and coworkers investigated the cumulative effect of PNPLA3, TM6SF2 and MBOAT7 genetic variants on the spectrum of NAFLD and they revealed that the rising number of risk alleles was associated with heavier AST and a trend for increased ALT and γ-glutamyl transferase (GGT) levels, which may mirror the severity of hepatic injury in NAFLD [122]. Additionally, a PRS obtained by considering the number of risk alleles for 6 different SNPs, among which PNPLA3 rs738409, was strictly correlated with circulating ALT in 178 Mexican NAFLD patients [241]. In a study conducted in 384 Chinese NAFLD patients and 384 age- and gender-matched healthy controls, the number of risk alleles of PNPLA3 and TM6SF2 variants strongly correlated with the presence of NAFLD, showing an overall significative odd ratio (OR) of 1.64 which raised in additive manner, with an average increase in OR of 1.52 per additional risk allele [242]. This effect has been even confirmed by Xu and colleagues, which reported an interaction between the PNPLA3 p.I148M and TM6SF2 p.E167K variants in northeast China population, conferring an higher risk to develop NAFLD in patients carrying both mutations (OR: 5.133 in carriers of the p.I148M and p.E167K vs. OR: 1.91 in carriers of the p.I148M variant alone or OR: 3.62 in carriers of the p.E167K variant alone) [243].

In details, the combined effect of PNPLA3 and TM6SF2 mutations seems to affect lipid metabolism and NAFLD possibly by exacerbating the expression of genes involved in DNL [244]. The accuracy of PRS to estimate the risk of progressive NAFLD was also evaluated in a Japanese study, in which it has been yielded that the effect of PNPLA3, GATAD2A and GCKR variations was cumulative in the increasing NASH risk, in a dose dependent manner [147].

In addition, we previously reported that the number of heritable risk variants in PNPLA3, TM6SF2 and MBOAT7 was strongly associated with HCC onset, with a 13.4-fold higher risk in NAFLD patients carrying five risk alleles compared to none [107]. Then, Gellert-Kristensen and colleagues have assessed that a PRS including mutations in PNPLA3, TM6SF2 and HSD17B13 genes is associated with a 12-fold and 29-fold higher risk to develop cirrhosis and HCC, respectively, as it has been proven by examining 110,761 individuals from the Danish general population, 334,691 individuals from the UK Biobank, and a meta-analysis of the two studies combined [245].

It has been corroborated that inherited variations which influence the susceptibility to hepatic fat content may promote HCC onset and may be worthwhile biomarkers for patients’ stratification. Thus, the impact of each genetic variants on HCC was directly proportional to the predisposition to fatty liver [246]. The utility of a ‘good’ PRS is to constitute a powerful tool to improve the accuracy of HCC detection, predicting HCC more robustly than a single variant and to stratify patients according to the risk of HCC development.

Ultimately, all these studies raised the important question about the possibility to use these scores in the clinical surveillance to predict the development of NAFLD and its progression to more advanced forms and how to combine them with the metabolic risk factors to apply the appropriate pharmacologic and lifestyle interventions.

8. Novel Insights into the Modelling of NAFLD: From Genetic Studies to Cellular Models

In the last years, clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) became the most broadly used genome editing technique to model NAFLD in vitro and in vivo [247]. For instance, two different PNPLA3 mutations have been introduced in human cells (PNPLA3−/− and p.I148M KI cell lines), by using CRISPR/Cas9 by Luukkonen et al. Both cell lines displayed a dramatic intracellular accumulation of LDs, upon unsaturated fatty acids administration, suggesting that PNPLA3 may act as an unsaturated fatty acid-specific hydrolase [62]. The same methodological approach has been exploited by Fan and colleagues to disrupt TM6SF2 gene in mice. These mice exhibited dampened circulating cholesterol levels, mirroring the phenotype of patients carrying the rs58542926 variant [82]. Similar findings have been observed even in a genetic model of TM6SF2−/− in zebrafish, in which reduced circulating LDL levels are associated with enhanced hepatic fat deposition [88]. Afterwards, our group generated different HepG2 cell lines carrying the PNPLA3 p.I148M variant and containing the deletion of MBOAT7−/− by using CRISPR/Cas9, showing that mutant cell lines acquire the ability to accumulate an increasing number of LDs into the cytoplasm, as a consequence of MBOAT7 downregulation [109]. More recently, we silenced TM6SF2 in both HepG2 (TM6SF2−/−) and in MBOAT7−/− cells, by CRISPR/Cas9, with the aim to investigate the impact of TM6SF2 and/or MBOAT7 depletion on mitochondrial function and morphology. We revealed that both TM6SF2−/− and MBOAT7−/−/TM6SF2−/− are characterized by an enrichment in the number of mitochondria with small and globular shape, loss of cistern architecture and ultrastructural electron density which may indicate mitochondrial failure and degeneration. Notably, the compound KO model runs into metabolic reprogramming towards anaerobic glycolysis, supporting that the co-absence of TM6SF2 and MBOAT7 deletions together with the presence of the PNPLA3 p.I148M mutation may synergically affect mitochondrial metabolism within the hepatocytes thus contributing to progressive liver damage and possibly triggers the switch towards HCC [248,249].

In this context, forefront methodological approaches have been exploited to generate induced pluripotent stem cells (iPSCs) from patient-derived fibroblasts or lymphocytes, with the purpose to study the impact of heritable variations in a more reliable situation [250]. Likewise, these cells may be potentially used as a ‘platforms’ to recapitulate patients’ phenotype and to test personalized pharmacological approaches. For instance, Graffmann and colleagues differentiated iPSCs derived from four donors with varying disease stages into hepatocyte-like cells to determine the hepatic metabolic adaptations to oleic acid exposure. These authors highlighted that iPSCs treated with oleic acid can resemble the alterations of glucose and lipid metabolism of the donor. In addition, they stimulated hepatocyte-like cells with a synthetic analogue of adiponectin, in the attempt to reverse steatosis, obtaining variable results [251]. Hepatocyte-like cells have been generated also by Sinton et al. [252], which demonstrated that lactate, pyruvate and octanoate treatment is able to induce macrovesicular steatosis, mitochondrial respiration derangement and electron transport chain dysfunctions, further improving the findings observed by Lyall et al. [253].

9. Concluding Remarks

Genetic modifiers exert an essential role in NAFLD pathogenesis and in its evolution towards NASH and HCC. The advantage to address the research to genetic markers investigation is that they do not change during the course of the disease and they may indicate the risk long before clinical symptoms [254]. In the last decades, a growing number of inherited factors has been discovered, albeit the polymorphisms in PNPLA3, TM6SF2 and MBOAT7 genes are considered the most robust predictors. Nevertheless, many other common variants with modest effect sizes, and various rare variants with small and large effect sizes may participate to NAFLD precipitation towards advanced stages of liver damage. Thus, it remains unclear how interpreter single genetic data and how they can be translated into the clinical context.

To date, it is recommended to combine individual genetic mutations into polygenic risk scores to more accurately figure out the degree of the risk to develop severe NAFLD in patients. Herein, the opportunity to combine polygenic risk scores with routinely assessed biochemical markers may constitute an attractive choice to draft preventive and tailored interventions in subjects at greater risk of aggressive NAFLD.

Abbreviations

ACDRP amish complex disease research program
ALD alcoholic liver disease
ALT alanine aminotransferase
APOB apolipoprotein B
APOC3 apolipoprotein C3
ATGL adipose triglyceride lipase
AUROC area under receiver operating characteristics
BMI body mass index
CCl4 carbon tetrachloride CD36: cluster of differentiation 36
CDKI1A cyclin dependent kinase inhibitor 1A
CGI-58 comparative gene identification-58
CPN1 carboxypeptidase n subunit 1
CRISPR/Cas9 clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9
CVD cardiovascular disease
DAGs diacylglycerols
DNL de novo lipogenesis
ENPP1 ectonucleotide pyrophosphatase/phosphodiesterase1
ER endothelial reticulum
EWAS exome wide association studies
FATP5 fatty acid transport proteins
FFAs free fatty acids
FGF fibroblast growth factor
FGFR4 fibroblast growth factor receptor 4
FNDC5 fibronectin type III domain-containing protein 5
FOXO1 forkhead box protein O1
GCKR glucokinase regulator
GGT γ-glutamyl transferase
GPR55G protein-coupled receptor 55
GWAS genome-wide association study
HCC hepatocellular carcinoma
HFD high-fat diet
HNRNPUL1 heterogeneous nuclear ribonucleoprotein U like 1
HSCs hepatic stellate cells
HSD17B13 hydroxysteroid 17-β dehydrogenase 13
IFNL3/4 interferon λ3/λ4
IL28 interleukin 28
InsR insulin receptor
iPSCs pluripotent stem cells
IR insulin resistance
IRAS Insulin Resistance Atherosclerosis Study
IRS1 insulin receptor substrate
KLB β-Klotho
KLF6 krueppel-like factor 6
KI knock-in
KO knock-out
LAL lysosomal acid lipase
LD lipid droplet
LDL low-density lipoprotein
LIPA lysosomal acid lipase
LPIAT1 lyso-phosphatidylinositol (Lyso-PI) acyl-transferase1
LPIN1 Lipin1
LPL lipoprotein lipase
LYPLAL1 lysophospholipase-like 1
MARC1 amidoxime-reducing component 1
MBOAT7 membrane bound o-acyltransferase domain-containing 7
MCD methionine choline deficient
MERTK macrophage c-mer tyrosine kinase
MRI-PDFF magnetic resonance imaging proton-density fat fraction
MTTP microsomal triglyceride transfer protein
NAD nicotinamide adenine dinucleotide
NAFLD nonalcoholic fatty liver disease
NASH nonalcoholic steatohepatitis
NOMAS Northern Manhattan Study
OR odd ratio
PCs phosphatidylcholines
PCSK7 proprotein convertase subtilisin/kexin type 7
PCSK9 proprotein convertase subtilisin/kexin type 9
PI phosphatidylinositol
PI3K Phosphoinositide 3-kinase
PLIN2 perilipin 2
PLIN5 perilipin 5
PNPLA2 patatin-like phospholipase domain-containing 2
PNPLA3 patatin-like phospholipase domain-containing 3
PPP1R3B protein phosphatase 1 regulatory subunit 3B
PROTAC proteolysis-targeting chimera
PRSs polygenic risk scores
PS phosphatidylserine
PUFAs polyunsaturated fatty acids
ROC receiver operating characteristics
ROS reactive oxygen species
SIRTs sirtuins
SNP single nucleotide polymorphism
SOD2 superoxide dismutase 2
SREBP1c sterol regulatory element-binding protein 1
T2D type 2 diabetes
TERT telomerase reverse transcriptase
TG triglyceride
TGF-β transforming growth factor β
TLR4 toll like receptor 4
TM6SF2 transmembrane 6 superfamily member 2
TMC4 transmembrane channel like 4
TNF-α tumor necrosis factor α
TRIB tribbles homolog1
UCP uncoupling protein
VLDL very-low density lipoproteins

Author Contributions

M.M., M.L., G.T. and P.D. all took part in writing the manuscript, preparing figures, read and approved the final draft. All authors have read and agreed to the published version of the manuscript.

Funding

The study was supported by Ricerca Corrente Fondazione IRCCS Cà Granda and Ricerca Finalizzata Ministero della Salute GR-2019-12370172.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Younossi Z.M., Koenig A.B., Abdelatif D., Fazel Y., Henry L., Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64:73–84. doi: 10.1002/hep.28431. [DOI] [PubMed] [Google Scholar]
  • 2.Eslam M., Sanyal A.J., George J. MAFLD: A Consensus-Driven Proposed Nomenclature for Metabolic Associated Fatty Liver Disease. Gastroenterology. 2020;158:1999–2014.e1991. doi: 10.1053/j.gastro.2019.11.312. [DOI] [PubMed] [Google Scholar]
  • 3.Eslam M., Newsome P.N., Sarin S.K., Anstee Q.M., Targher G., Romero-Gomez M., Zelber-Sagi S., Wai-Sun Wong V., Dufour J.F., Schattenberg J.M., et al. A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement. J. Hepatol. 2020;73:202–209. doi: 10.1016/j.jhep.2020.03.039. [DOI] [PubMed] [Google Scholar]
  • 4.Younossi Z.M., Henry L., Bush H., Mishra A. Clinical and Economic Burden of Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis. Clin. Liver Dis. 2018;22:1–10. doi: 10.1016/j.cld.2017.08.001. [DOI] [PubMed] [Google Scholar]
  • 5.Cholankeril G., Wong R.J., Hu M., Perumpail R.B., Yoo E.R., Puri P., Younossi Z.M., Harrison S.A., Ahmed A. Liver Transplantation for Nonalcoholic Steatohepatitis in the US: Temporal Trends and Outcomes. Dig. Dis. Sci. 2017;62:2915–2922. doi: 10.1007/s10620-017-4684-x. [DOI] [PubMed] [Google Scholar]
  • 6.Day C.P. From fat to inflammation. Gastroenterology. 2006;130:207–210. doi: 10.1053/j.gastro.2005.11.017. [DOI] [PubMed] [Google Scholar]
  • 7.Wong R.J., Aguilar M., Cheung R., Perumpail R.B., Harrison S.A., Younossi Z.M., Ahmed A. Nonalcoholic steatohepatitis is the second leading etiology of liver disease among adults awaiting liver transplantation in the United States. Gastroenterology. 2015;148:547–555. doi: 10.1053/j.gastro.2014.11.039. [DOI] [PubMed] [Google Scholar]
  • 8.Byrne C.D., Targher G. NAFLD: A multisystem disease. J. Hepatol. 2015;62:S47–S64. doi: 10.1016/j.jhep.2014.12.012. [DOI] [PubMed] [Google Scholar]
  • 9.Meroni M., Longo M., Rustichelli A., Dongiovanni P. Nutrition and Genetics in NAFLD: The Perfect Binomium. Int. J. Mol. Sci. 2020;21:2986. doi: 10.3390/ijms21082986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Dongiovanni P., Paolini E., Corsini A., Sirtori C.R., Ruscica M. Nonalcoholic fatty liver disease or metabolic dysfunction-associated fatty liver disease diagnoses and cardiovascular diseases: From epidemiology to drug approaches. Eur. J. Clin. Investig. 2021;51:e13519. doi: 10.1111/eci.13519. [DOI] [PubMed] [Google Scholar]
  • 11.Dongiovanni P., Valenti L. Genetics of nonalcoholic fatty liver disease. Metab. Clin. Exp. 2016;65:1026–1037. doi: 10.1016/j.metabol.2015.08.018. [DOI] [PubMed] [Google Scholar]
  • 12.Meroni M., Longo M., Erconi V., Valenti L., Gatti S., Fracanzani A.L., Dongiovanni P. mir-101-3p Downregulation Promotes Fibrogenesis by Facilitating Hepatic Stellate Cell Transdifferentiation During Insulin Resistance. Nutrients. 2019;11:2597. doi: 10.3390/nu11112597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dongiovanni P., Meroni M., Longo M., Fargion S., Fracanzani A.L. miRNA Signature in NAFLD: A Turning Point for a Non-Invasive Diagnosis. Int. J. Mol. Sci. 2018;19:3966. doi: 10.3390/ijms19123966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Stender S., Kozlitina J. Adiposity amplifies the genetic risk of fatty liver disease conferred by multiple loci. Nat. Genet. 2017;49:842–847. doi: 10.1038/ng.3855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Meroni M., Longo M., Dongiovanni P. Alcohol or Gut Microbiota: Who Is the Guilty? Int. J. Mol. Sci. 2019;20:4568. doi: 10.3390/ijms20184568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Meroni M., Longo M., Dongiovanni P. The Role of Probiotics in Nonalcoholic Fatty Liver Disease: A New Insight into Therapeutic Strategies. Nutrients. 2019;11:2642. doi: 10.3390/nu11112642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dongiovanni P., Valenti L. A Nutrigenomic Approach to Non-Alcoholic Fatty Liver Disease. Int. J. Mol. Sci. 2017;18:1534. doi: 10.3390/ijms18071534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Dongiovanni P., Anstee Q.M., Valenti L. Genetic predisposition in NAFLD and NASH: Impact on severity of liver disease and response to treatment. Curr. Pharm. Des. 2013;19:5219–5238. doi: 10.2174/13816128113199990381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dongiovanni P., Romeo S., Valenti L. Genetic Factors in the Pathogenesis of Nonalcoholic Fatty Liver and Steatohepatitis. BioMed Res. Int. 2015;2015:460190. doi: 10.1155/2015/460190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Struben V.M., Hespenheide E.E., Caldwell S.H. Nonalcoholic steatohepatitis and cryptogenic cirrhosis within kindreds. Am. J. Med. 2000;108:9–13. doi: 10.1016/S0002-9343(99)00315-0. [DOI] [PubMed] [Google Scholar]
  • 21.Speliotes E.K., Yerges-Armstrong L.M., Wu J., Hernaez R., Kim L.J., Palmer C.D., Gudnason V., Eiriksdottir G., Garcia M.E., Launer L.J., 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:e1001324. doi: 10.1371/journal.pgen.1001324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wagenknecht L.E., Scherzinger A.L., Stamm E.R., Hanley A.J., Norris J.M., Chen Y.D., Bryer-Ash M., Haffner S.M., Rotter J.I. Correlates and heritability of nonalcoholic fatty liver disease in a minority cohort. Obesity (Silver Spring Md.) 2009;17:1240–1246. doi: 10.1038/oby.2009.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Schwimmer J.B., Celedon M.A., Lavine J.E., Salem R., Campbell N., Schork N.J., Shiehmorteza M., Yokoo T., Chavez A., Middleton M.S., et al. Heritability of nonalcoholic fatty liver disease. Gastroenterology. 2009;136:1585–1592. doi: 10.1053/j.gastro.2009.01.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Willner I.R., Waters B., Patil S.R., Reuben A., Morelli J., Riely C.A. Ninety patients with nonalcoholic steatohepatitis: Insulin resistance, familial tendency, and severity of disease. Am. J. Gastroenterol. 2001;96:2957–2961. doi: 10.1111/j.1572-0241.2001.04667.x. [DOI] [PubMed] [Google Scholar]
  • 25.Makkonen J., Pietilainen K.H., Rissanen A., Kaprio J., Yki-Jarvinen H. Genetic factors contribute to variation in serum alanine aminotransferase activity independent of obesity and alcohol: A study in monozygotic and dizygotic twins. J. Hepatol. 2009;50:1035–1042. doi: 10.1016/j.jhep.2008.12.025. [DOI] [PubMed] [Google Scholar]
  • 26.Loomba R., Schork N., Chen C.H., Bettencourt R., Bhatt A., Ang B., Nguyen P., Hernandez C., Richards L., Salotti J., et al. Heritability of Hepatic Fibrosis and Steatosis Based on a Prospective Twin Study. Gastroenterology. 2015;149:1784–1793. doi: 10.1053/j.gastro.2015.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Cui J., Chen C.H., Lo M.T., Schork N., Bettencourt R., Gonzalez M.P., Bhatt A., Hooker J., Shaffer K., Nelson K.E., et al. Shared genetic effects between hepatic steatosis and fibrosis: A prospective twin study. Hepatology. 2016;64:1547–1558. doi: 10.1002/hep.28674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Tarnoki A.D., Tarnoki D.L., Bata P., Littvay L., Osztovits J., Jermendy G., Karlinger K., Lannert A., Preda I., Kiss R.G., et al. Heritability of non-alcoholic fatty liver disease and association with abnormal vascular parameters: A twin study. Liver Int. Off. J. Int. Assoc. Study Liver. 2012;32:1287–1293. doi: 10.1111/j.1478-3231.2012.02823.x. [DOI] [PubMed] [Google Scholar]
  • 29.Balakrishnan M., Kanwal F., El-Serag H.B., Thrift A.P. Acculturation and Nonalcoholic Fatty Liver Disease Risk Among Hispanics of Mexican Origin: Findings From the National Health and Nutrition Examination Survey. Clin. Gastroenterol. Hepatol. Off. Clin. Pract. J. Am. Gastroenterol. Assoc. 2017;15:310–312. doi: 10.1016/j.cgh.2016.09.149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Browning J.D., Szczepaniak L.S., Dobbins R., Nuremberg P., Horton J.D., Cohen J.C., Grundy S.M., Hobbs H.H. Prevalence of hepatic steatosis in an urban population in the United States: Impact of ethnicity. Hepatology. 2004;40:1387–1395. doi: 10.1002/hep.20466. [DOI] [PubMed] [Google Scholar]
  • 31.Fleischman M.W., Budoff M., Zeb I., Li D., Foster T. NAFLD prevalence differs among hispanic subgroups: The Multi-Ethnic Study of Atherosclerosis. World J. Gastroenterol. 2014;20:4987–4993. doi: 10.3748/wjg.v20.i17.4987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Guerrero R., Vega G.L., Grundy S.M., Browning J.D. Ethnic differences in hepatic steatosis: An insulin resistance paradox? Hepatology. 2009;49:791–801. doi: 10.1002/hep.22726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Dongiovanni P., Stender S., Pietrelli A., Mancina R.M., Cespiati A., Petta S., Pelusi S., Pingitore P., Badiali S., Maggioni M., et al. Causal relationship of hepatic fat with liver damage and insulin resistance in nonalcoholic fatty liver. J. Intern. Med. 2018;283:356–370. doi: 10.1111/joim.12719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Di Costanzo A., Belardinilli F., Bailetti D., Sponziello M., D’Erasmo L. Evaluation of Polygenic Determinants of Non-Alcoholic Fatty Liver Disease (NAFLD) By a Candidate Genes Resequencing Strategy. Sci. Rep. 2018;8:3702. doi: 10.1038/s41598-018-21939-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Krawczyk M., Bantel H., Rau M., Schattenberg J.M., Grunhage F., Pathil A., Demir M., Kluwe J., Boettler T., Weber S.N., et al. Could inherited predisposition drive non-obese fatty liver disease? Results from German tertiary referral centers. J. Hum. Genet. 2018;63:621–626. doi: 10.1038/s10038-018-0420-4. [DOI] [PubMed] [Google Scholar]
  • 36.Romeo S., Kozlitina J., Xing C., Pertsemlidis A., Cox D., Pennacchio L.A., Boerwinkle E., Cohen J.C., Hobbs H.H. Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nat. Genet. 2008;40:1461–1465. doi: 10.1038/ng.257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sookoian S., Castaño G.O., Burgueño A.L., Gianotti T.F., Rosselli M.S., Pirola C.J. A nonsynonymous gene variant in the adiponutrin gene is associated with nonalcoholic fatty liver disease severity. J. Lipid Res. 2009;50:2111–2116. doi: 10.1194/jlr.P900013-JLR200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Li X., Zhao Q., Wu K., Fan D. I148M variant of PNPLA3 confer increased risk for nonalcoholic fatty liver disease not only in European population, but also in Chinese population. Hepatology. 2011;54:2275. doi: 10.1002/hep.24567. [DOI] [PubMed] [Google Scholar]
  • 39.Pingitore P., Dongiovanni P., Motta B.M., Meroni M., Lepore S.M., Mancina R.M., Pelusi S., Russo C., Caddeo A., Rossi G., et al. PNPLA3 overexpression results in reduction of proteins predisposing to fibrosis. Hum. Mol. Genet. 2016;25:5212–5222. doi: 10.1093/hmg/ddw341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Mondul A., Mancina R.M., Merlo A., Dongiovanni P., Rametta R., Montalcini T., Valenti L., Albanes D., Romeo S. PNPLA3 I148M Variant Influences Circulating Retinol in Adults with Nonalcoholic Fatty Liver Disease or Obesity. J. Nutr. 2015;145:1687–1691. doi: 10.3945/jn.115.210633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Huang Y., He S., Li J.Z., Seo Y.-K., Osborne T.F., Cohen J.C., Hobbs H.H. A feed-forward loop amplifies nutritional regulation of PNPLA3. Proc. Natl. Acad. Sci. USA. 2010;107:7892–7897. doi: 10.1073/pnas.1003585107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Baulande S., Lasnier F., Lucas M., Pairault J. Adiponutrin, a transmembrane protein corresponding to a novel dietary- and obesity-linked mRNA specifically expressed in the adipose lineage. J. Biol. Chem. 2001;276:33336–33344. doi: 10.1074/jbc.M105193200. [DOI] [PubMed] [Google Scholar]
  • 43.Santoro N., Kursawe R., D’Adamo E., Dykas D.J., Zhang C.K., Bale A.E., Calí A.M., Narayan D., Shaw M.M., Pierpont B., et al. A common variant in the patatin-like phospholipase 3 gene (PNPLA3) is associated with fatty liver disease in obese children and adolescents. Hepatology. 2010;52:1281–1290. doi: 10.1002/hep.23832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.McGeoch L.J., Patel P.R., Mann J.P. PNPLA3: A Determinant of Response to Low-Fructose Diet in Nonalcoholic Fatty Liver Disease. Gastroenterology. 2018;154:1207–1208. doi: 10.1053/j.gastro.2017.07.054. [DOI] [PubMed] [Google Scholar]
  • 45.Fracanzani A.L., Petta S., Lombardi R., Pisano G., Russello M., Consonni D., Di Marco V., Cammà C., Mensi L., Dongiovanni P., et al. Liver and Cardiovascular Damage in Patients With Lean Nonalcoholic Fatty Liver Disease, and Association With Visceral Obesity. Clin. Gastroenterol. Hepatol. Off. Clin. Pract. J. Am. Gastroenterol. Assoc. 2017;15:1604–1611.e1601. doi: 10.1016/j.cgh.2017.04.045. [DOI] [PubMed] [Google Scholar]
  • 46.Kumari M., Schoiswohl G., Chitraju C., Paar M., Cornaciu I., Rangrez A.Y., Wongsiriroj N., Nagy H.M., Ivanova P.T., Scott S.A., et al. Adiponutrin functions as a nutritionally regulated lysophosphatidic acid acyltransferase. Cell Metab. 2012;15:691–702. doi: 10.1016/j.cmet.2012.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Pingitore P., Pirazzi C., Mancina R.M., Motta B.M., Indiveri C., Pujia A., Montalcini T., Hedfalk K., Romeo S. Recombinant PNPLA3 protein shows triglyceride hydrolase activity and its I148M mutation results in loss of function. Biochim. Biophys. Acta. 2014;1841:574–580. doi: 10.1016/j.bbalip.2013.12.006. [DOI] [PubMed] [Google Scholar]
  • 48.Dongiovanni P., Romeo S., Valenti L. Hepatocellular carcinoma in nonalcoholic fatty liver: Role of environmental and genetic factors. World J. Gastroenterol. 2014;20:12945–12955. doi: 10.3748/wjg.v20.i36.12945. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Min H.K., Sookoian S., Pirola C.J., Cheng J., Mirshahi F., Sanyal A.J. Metabolic profiling reveals that PNPLA3 induces widespread effects on metabolism beyond triacylglycerol remodeling in Huh-7 hepatoma cells. Am. J. Physiol. Gastrointest. Liver Physiol. 2014;307:G66–G76. doi: 10.1152/ajpgi.00335.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Banini B.A., D P.K., Cazanave S., Seneshaw M., Mirshahi F., Santhekadur P.K., Wang L., Guan H.P., Oseini A., Alonso C., et al. Identification of a metabolic, transcriptomic and molecular signature of PNPLA3-mediated acceleration of steatohepatitis. Hepatology. 2020 doi: 10.1002/hep.31609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Basantani M.K., Sitnick M.T., Cai L., Brenner D.S., Gardner N.P., Li J.Z., Schoiswohl G., Yang K., Kumari M., Gross R.W., et al. Pnpla3/Adiponutrin deficiency in mice does not contribute to fatty liver disease or metabolic syndrome. J. Lipid Res. 2011;52:318–329. doi: 10.1194/jlr.M011205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Chen W., Chang B., Li L., Chan L. Patatin-like phospholipase domain-containing 3/adiponutrin deficiency in mice is not associated with fatty liver disease. Hepatology. 2010;52:1134–1142. doi: 10.1002/hep.23812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Smagris E., BasuRay S., Li J., Huang Y., Lai K.M., Gromada J., Cohen J.C., Hobbs H.H. Pnpla3I148M knockin mice accumulate PNPLA3 on lipid droplets and develop hepatic steatosis. Hepatology. 2015;61:108–118. doi: 10.1002/hep.27242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Lindén D., Ahnmark A., Pingitore P., Ciociola E., Ahlstedt I., Andréasson A.C., Sasidharan K., Madeyski-Bengtson K., Zurek M., Mancina R.M., et al. Pnpla3 silencing with antisense oligonucleotides ameliorates nonalcoholic steatohepatitis and fibrosis in Pnpla3 I148M knock-in mice. Mol. Metab. 2019;22:49–61. doi: 10.1016/j.molmet.2019.01.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Wang Y., Kory N., BasuRay S., Cohen J.C., Hobbs H.H. PNPLA3, CGI-58, and Inhibition of Hepatic Triglyceride Hydrolysis in Mice. Hepatology. 2019;69:2427–2441. doi: 10.1002/hep.30583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Yang A., Mottillo E.P., Mladenovic-Lucas L., Zhou L., Granneman J.G. Dynamic interactions of ABHD5 with PNPLA3 regulate triacylglycerol metabolism in brown adipocytes. Nat. Metab. 2019;1:560–569. doi: 10.1038/s42255-019-0066-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Donati B., Motta B.M., Pingitore P., Meroni M., Pietrelli A., Alisi A., Petta S., Xing C., Dongiovanni P., del Menico B., et al. The rs2294918 E434K variant modulates patatin-like phospholipase domain-containing 3 expression and liver damage. Hepatology. 2016;63:787–798. doi: 10.1002/hep.28370. [DOI] [PubMed] [Google Scholar]
  • 58.BasuRay S., Smagris E., Cohen J.C., Hobbs H.H. The PNPLA3 variant associated with fatty liver disease (I148M) accumulates on lipid droplets by evading ubiquitylation. Hepatology. 2017;66:1111–1124. doi: 10.1002/hep.29273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.BasuRay S., Wang Y., Smagris E., Cohen J.C., Hobbs H.H. Accumulation of PNPLA3 on lipid droplets is the basis of associated hepatic steatosis. Proc. Natl. Acad. Sci. USA. 2019;116:9521–9526. doi: 10.1073/pnas.1901974116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Schwartz B.E., Rajagopal V., Smith C., Cohick E. Discovery and Targeting of the Signaling Controls of PNPLA3 to Effectively Reduce Transcription, Expression, and Function in Pre-Clinical NAFLD/NASH Settings. Cells. 2020;9:2247. doi: 10.3390/cells9102247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Negoita F., Blomdahl J., Wasserstrom S., Winberg M.E., Osmark P., Larsson S., Stenkula K.G., Ekstedt M., Kechagias S., Holm C., et al. PNPLA3 variant M148 causes resistance to starvation-mediated lipid droplet autophagy in human hepatocytes. J. Cell. Biochem. 2019;120:343–356. doi: 10.1002/jcb.27378. [DOI] [PubMed] [Google Scholar]
  • 62.Luukkonen P.K., Nick A., Hölttä-Vuori M., Thiele C., Isokuortti E., Lallukka-Brück S., Zhou Y., Hakkarainen A., Lundbom N., Peltonen M., et al. Human PNPLA3-I148M variant increases hepatic retention of polyunsaturated fatty acids. JCI Insight. 2019;4:e127902. doi: 10.1172/jci.insight.127902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Franko A., Merkel D., Kovarova M., Hoene M. Dissociation of Fatty Liver and Insulin Resistance in I148M PNPLA3 Carriers: Differences in Diacylglycerol (DAG) FA18:1 Lipid Species as a Possible Explanation. Nutrients. 2018;10:1314. doi: 10.3390/nu10091314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Luukkonen P.K., Zhou Y., Sädevirta S., Leivonen M., Arola J., Orešič M., Hyötyläinen T., Yki-Järvinen H. Hepatic ceramides dissociate steatosis and insulin resistance in patients with non-alcoholic fatty liver disease. J. Hepatol. 2016;64:1167–1175. doi: 10.1016/j.jhep.2016.01.002. [DOI] [PubMed] [Google Scholar]
  • 65.Qadri S., Lallukka-Bruck S., Luukkonen P.K., Zhou Y., Gastaldelli A. The PNPLA3-I148M variant increases polyunsaturated triglycerides in human adipose tissue. Liver Int. 2020;40:2128–2138. doi: 10.1111/liv.14507. [DOI] [PubMed] [Google Scholar]
  • 66.Luukkonen P.K., Qadri S., Lehtimäki T.E., Juuti A., Sammalkorpi H., Penttilä A.K., Hakkarainen A., Orho-Melander M., Arola J., Yki-Järvinen H. The PNPLA3-I148M variant confers an antiatherogenic lipid profile in insulin-resistant patients. J. Clin. Endocrinol. Metab. 2020;106:e300–e315. doi: 10.1210/clinem/dgaa729. [DOI] [PubMed] [Google Scholar]
  • 67.Bruschi F.V., Claudel T., Tardelli M., Caligiuri A., Stulnig T.M., Marra F., Trauner M. The PNPLA3 I148M variant modulates the fibrogenic phenotype of human hepatic stellate cells. Hepatology. 2017;65:1875–1890. doi: 10.1002/hep.29041. [DOI] [PubMed] [Google Scholar]
  • 68.Dongiovanni P., Donati B., Fares R., Lombardi R., Mancina R.M., Romeo S., Valenti L. PNPLA3 I148M polymorphism and progressive liver disease. World J. Gastroenterol. 2013;19:6969–6978. doi: 10.3748/wjg.v19.i41.6969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Valenti L., Motta B.M., Soardo G., Iavarone M., Donati B., Sangiovanni A., Carnelutti A., Dongiovanni P., Rametta R., Bertelli C., et al. PNPLA3 I148M polymorphism, clinical presentation, and survival in patients with hepatocellular carcinoma. PLoS ONE. 2013;8:e75982. doi: 10.1371/journal.pone.0075982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Pirazzi C., Valenti L., Motta B.M., Pingitore P., Hedfalk K., Mancina R.M., Burza M.A., Indiveri C., Ferro Y., Montalcini T., et al. PNPLA3 has retinyl-palmitate lipase activity in human hepatic stellate cells. Hum. Mol. Genet. 2014;23:4077–4085. doi: 10.1093/hmg/ddu121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Trepo E., Nahon P., Bontempi G., Valenti L., Falleti E., Nischalke H.D., Hamza S., Corradini S.G., Burza M.A., Guyot E., et al. Association between the PNPLA3 (rs738409 C > G) variant and hepatocellular carcinoma: Evidence from a meta-analysis of individual participant data. Hepatology. 2014;59:2170–2177. doi: 10.1002/hep.26767. [DOI] [PubMed] [Google Scholar]
  • 72.Carpino G., Pastori D. PNPLA3 variant and portal/periportal histological pattern in patients with biopsy-proven non-alcoholic fatty liver disease: A possible role for oxidative stress. Sci. Rep. 2017;7:15756. doi: 10.1038/s41598-017-15943-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Bruschi F.V., Tardelli M., Herac M., Claudel T., Trauner M. Metabolic regulation of hepatic PNPLA3 expression and severity of liver fibrosis in patients with NASH. Liver Int. Off. J. Int. Assoc. Study Liver. 2020;40:1098–1110. doi: 10.1111/liv.14402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Grimaudo S., Pipitone R.M., Pennisi G., Celsa C., Camma C., Di Marco V., Barcellona M.R., Boemi R., Enea M., Giannetti A., et al. Association Between PNPLA3 rs738409 C > G Variant and Liver-Related Outcomes in Patients With Nonalcoholic Fatty Liver Disease. Clin. Gastroenterol. Hepatol. Off. Clin. Pract. J. Am. Gastroenterol. Assoc. 2020;18:935–944.e933. doi: 10.1016/j.cgh.2019.08.011. [DOI] [PubMed] [Google Scholar]
  • 75.Valenti L., Rumi M., Galmozzi E., Aghemo A., Del Menico B., De Nicola S., Dongiovanni P., Maggioni M., Fracanzani A.L., Rametta R., et al. Patatin-like phospholipase domain-containing 3 I148M polymorphism, steatosis, and liver damage in chronic hepatitis C. Hepatology. 2011;53:791–799. doi: 10.1002/hep.24123. [DOI] [PubMed] [Google Scholar]
  • 76.Guyot E., Sutton A., Rufat P., Laguillier C., Mansouri A., Moreau R., Ganne-Carrie N., Beaugrand M., Charnaux N., Trinchet J.C., et al. PNPLA3 rs738409, hepatocellular carcinoma occurrence and risk model prediction in patients with cirrhosis. J. Hepatol. 2013;58:312–318. doi: 10.1016/j.jhep.2012.09.036. [DOI] [PubMed] [Google Scholar]
  • 77.Mederacke Y.S., Kirstein M.M. The PNPLA3 rs738409 GG genotype is associated with poorer prognosis in 239 patients with autoimmune hepatitis. Aliment. Pharmacol. Ther. 2020;51:1160–1168. doi: 10.1111/apt.15722. [DOI] [PubMed] [Google Scholar]
  • 78.Kozlitina J., Smagris E., Stender S., Nordestgaard B.G., Zhou H.H., Tybjærg-Hansen A., Vogt T.F., Hobbs H.H., Cohen J.C. Exome-wide association study identifies a TM6SF2 variant that confers susceptibility to nonalcoholic fatty liver disease. Nat. Genet. 2014;46:352–356. doi: 10.1038/ng.2901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Mahdessian H., Taxiarchis A., Popov S., Silveira A., Franco-Cereceda A., Hamsten A., Eriksson P., van’t Hooft F. TM6SF2 is a regulator of liver fat metabolism influencing triglyceride secretion and hepatic lipid droplet content. Proc. Natl. Acad. Sci. USA. 2014;111:8913–8918. doi: 10.1073/pnas.1323785111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Smagris E., Gilyard S., BasuRay S., Cohen J.C., Hobbs H.H. Inactivation of Tm6sf2, a Gene Defective in Fatty Liver Disease, Impairs Lipidation but Not Secretion of Very Low Density Lipoproteins. J. Biol. Chem. 2016;291:10659–10676. doi: 10.1074/jbc.M116.719955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Prill S., Caddeo A., Baselli G., Jamialahmadi O., Dongiovanni P., Rametta R., Kanebratt K.P., Pujia A., Pingitore P., Mancina R.M. The TM6SF2 E167K genetic variant induces lipid biosynthesis and reduces apolipoprotein B secretion in human hepatic 3D spheroids. Sci. Rep. 2019;9:11585. doi: 10.1038/s41598-019-47737-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Fan Y., Lu H., Guo Y., Zhu T., Garcia-Barrio M.T., Jiang Z., Willer C.J., Zhang J., Chen Y.E. Hepatic Transmembrane 6 Superfamily Member 2 Regulates Cholesterol Metabolism in Mice. Gastroenterology. 2016;150:1208–1218. doi: 10.1053/j.gastro.2016.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Ruhanen H., Nidhina Haridas P.A., Eskelinen E.-L., Eriksson O., Olkkonen V.M., Käkelä R. Depletion of TM6SF2 disturbs membrane lipid composition and dynamics in HuH7 hepatoma cells. Biochim. Biophys. Acta (BBA)-Mol. Cell Biol. Lipids. 2017;1862:676–685. doi: 10.1016/j.bbalip.2017.04.004. [DOI] [PubMed] [Google Scholar]
  • 84.Musso G., Cassader M., Paschetta E., Gambino R. TM6SF2 may drive postprandial lipoprotein cholesterol toxicity away from the vessel walls to the liver in NAFLD. J. Hepatol. 2016;64:979–981. doi: 10.1016/j.jhep.2015.11.036. [DOI] [PubMed] [Google Scholar]
  • 85.Luukkonen P.K., Zhou Y., Nidhina Haridas P.A., Dwivedi O.P., Hyötyläinen T., Ali A., Juuti A., Leivonen M., Tukiainen T., Ahonen L., et al. Impaired hepatic lipid synthesis from polyunsaturated fatty acids in TM6SF2 E167K variant carriers with NAFLD. J. Hepatol. 2017;67:128–136. doi: 10.1016/j.jhep.2017.02.014. [DOI] [PubMed] [Google Scholar]
  • 86.Li T.T., Li T.H., Peng J., He B., Liu L.S., Wei D.H., Jiang Z.S., Zheng X.L., Tang Z.H. TM6SF2: A novel target for plasma lipid regulation. Atherosclerosis. 2018;268:170–176. doi: 10.1016/j.atherosclerosis.2017.11.033. [DOI] [PubMed] [Google Scholar]
  • 87.Ehrhardt N., Doche M.E., Chen S., Mao H.Z., Walsh M.T., Bedoya C., Guindi M., Xiong W., Ignatius Irudayam J., Iqbal J., et al. Hepatic Tm6sf2 overexpression affects cellular ApoB-trafficking, plasma lipid levels, hepatic steatosis and atherosclerosis. Hum. Mol. Genet. 2017;26:2719–2731. doi: 10.1093/hmg/ddx159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.O’Hare E.A., Yang R., Yerges-Armstrong L.M., Sreenivasan U., McFarland R., Leitch C.C., Wilson M.H., Narina S., Gorden A., Ryan K.A., et al. TM6SF2 rs58542926 impacts lipid processing in liver and small intestine. Hepatology. 2017;65:1526–1542. doi: 10.1002/hep.29021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Dongiovanni P., Petta S., Maglio C., Fracanzani A.L., Pipitone R., Mozzi E., Motta B.M., Kaminska D., Rametta R., Grimaudo S., et al. Transmembrane 6 superfamily member 2 gene variant disentangles nonalcoholic steatohepatitis from cardiovascular disease. Hepatology. 2015;61:506–514. doi: 10.1002/hep.27490. [DOI] [PubMed] [Google Scholar]
  • 90.Liu D.J., Peloso G.M., Yu H., Butterworth A.S., Wang X., Mahajan A., Saleheen D., Emdin C., Alam D., Alves A.C., et al. Exome-wide association study of plasma lipids in >300,000 individuals. Nat. Genet. 2017;49:1758–1766. doi: 10.1038/ng.3977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Mancina R.M., Sentinelli F., Incani M., Bertoccini L., Russo C., Romeo S., Baroni M.G. Transmembrane-6 superfamily member 2 (TM6SF2) E167K variant increases susceptibility to hepatic steatosis in obese children. Dig. Liver Dis. Off. J. Ital. Soc. Gastroenterol. Ital. Assoc. Study Liver. 2016;48:100–101. doi: 10.1016/j.dld.2015.10.003. [DOI] [PubMed] [Google Scholar]
  • 92.Goffredo M., Caprio S., Feldstein A.E., D’Adamo E., Shaw M.M., Pierpont B., Savoye M., Zhao H., Bale A.E., Santoro N. Role of TM6SF2 rs58542926 in the pathogenesis of nonalcoholic pediatric fatty liver disease: A multiethnic study. Hepatology. 2016;63:117–125. doi: 10.1002/hep.28283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Grandone A., Cozzolino D., Marzuillo P., Cirillo G., Di Sessa A., Ruggiero L., Di Palma M.R., Perrone L., Miraglia del Giudice E. TM6SF2 Glu167Lys polymorphism is associated with low levels of LDL-cholesterol and increased liver injury in obese children. Pediatric Obes. 2016;11:115–119. doi: 10.1111/ijpo.12032. [DOI] [PubMed] [Google Scholar]
  • 94.Liu Z., Que S., Zhou L., Zheng S., Romeo S., Mardinoglu A. The effect of the TM6SF2 E167K variant on liver steatosis and fibrosis in patients with chronic hepatitis C: A meta-analysis. Sci. Rep. 2017;7:9273. doi: 10.1038/s41598-017-09548-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Pirola C.J., Sookoian S. The dual and opposite role of the TM6SF2-rs58542926 variant in protecting against cardiovascular disease and conferring risk for nonalcoholic fatty liver: A meta-analysis. Hepatology. 2015;62:1742–1756. doi: 10.1002/hep.28142. [DOI] [PubMed] [Google Scholar]
  • 96.Byrne C.D., Targher G. Non-alcoholic fatty liver disease-related risk of cardiovascular disease and other cardiac complications. Diabetes Obes. Metab. 2021 doi: 10.1111/dom.14484. [DOI] [PubMed] [Google Scholar]
  • 97.Musso G., Cipolla U., Cassader M., Pinach S., Saba F., De Michieli F., Paschetta E., Bongiovanni D., Framarin L., Leone N., et al. TM6SF2 rs58542926 variant affects postprandial lipoprotein metabolism and glucose homeostasis in NAFLD. J. Lipid Res. 2017;58:1221–1229. doi: 10.1194/jlr.M075028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Chen F., Esmaili S. Lean NAFLD: A Distinct Entity Shaped by Differential Metabolic Adaptation. Hepatology. 2020;71:1213–1227. doi: 10.1002/hep.30908. [DOI] [PubMed] [Google Scholar]
  • 99.Eslam M., Mangia A., Berg T., Chan H.L., Irving W.L., Dore G.J., Abate M.L., Bugianesi E., Adams L.A., Najim M.A., et al. Diverse impacts of the rs58542926 E167K variant in TM6SF2 on viral and metabolic liver disease phenotypes. Hepatology. 2016;64:34–46. doi: 10.1002/hep.28475. [DOI] [PubMed] [Google Scholar]
  • 100.Sookoian S., Castaño G.O., Scian R., Mallardi P., Fernández Gianotti T., Burgueño A.L., San Martino J., Pirola C.J. Genetic variation in transmembrane 6 superfamily member 2 and the risk of nonalcoholic fatty liver disease and histological disease severity. Hepatology. 2015;61:515–525. doi: 10.1002/hep.27556. [DOI] [PubMed] [Google Scholar]
  • 101.Liu Y.-L., Reeves H.L., Burt A.D., Tiniakos D., McPherson S., Leathart J.B.S., Allison M.E.D., Alexander G.J., Piguet A.-C., Anty R., et al. TM6SF2 rs58542926 influences hepatic fibrosis progression in patients with non-alcoholic fatty liver disease. Nat. Commun. 2014;5:4309. doi: 10.1038/ncomms5309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Raksayot M., Chuaypen N., Khlaiphuengsin A., Pinjaroen N., Treeprasertsuk S., Poovorawan Y., Tanaka Y., Tangkijvanich P. Independent and additive effects of PNPLA3 and TM6SF2 polymorphisms on the development of non-B, non-C hepatocellular carcinoma. J. Gastroenterol. 2019;54:427–436. doi: 10.1007/s00535-018-01533-x. [DOI] [PubMed] [Google Scholar]
  • 103.Chen X., Zhou P., De L., Li B., Su S. The roles of transmembrane 6 superfamily member 2 rs58542926 polymorphism in chronic liver disease: A meta-analysis of 24,147 subjects. Mol. Genet. Genom. Med. 2019;7:e824. doi: 10.1002/mgg3.824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Stickel F., Buch S., Nischalke H.D., Weiss K.H., Gotthardt D., Fischer J., Rosendahl J., Marot A., Elamly M., Casper M., et al. Genetic variants in PNPLA3 and TM6SF2 predispose to the development of hepatocellular carcinoma in individuals with alcohol-related cirrhosis. Am. J. Gastroenterol. 2018;113:1475–1483. doi: 10.1038/s41395-018-0041-8. [DOI] [PubMed] [Google Scholar]
  • 105.Falleti E., Cussigh A., Cmet S., Fabris C., Toniutto P. PNPLA3 rs738409 and TM6SF2 rs58542926 variants increase the risk of hepatocellular carcinoma in alcoholic cirrhosis. Dig. Liver Dis. Off. J. Ital. Soc. Gastroenterol. Ital. Assoc. Study Liver. 2016;48:69–75. doi: 10.1016/j.dld.2015.09.009. [DOI] [PubMed] [Google Scholar]
  • 106.Yang J., Trepo E., Nahon P., Cao Q., Moreno C., Letouze E., Imbeaud S., Gustot T., Deviere J., Debette S., et al. PNPLA3 and TM6SF2 variants as risk factors of hepatocellular carcinoma across various etiologies and severity of underlying liver diseases. Int. J. Cancer. 2019;144:533–544. doi: 10.1002/ijc.31910. [DOI] [PubMed] [Google Scholar]
  • 107.Donati B., Dongiovanni P., Romeo S., Meroni M., McCain M., Miele L., Petta S., Maier S., Rosso C., De Luca L., et al. MBOAT7 rs641738 variant and hepatocellular carcinoma in non-cirrhotic individuals. Sci. Rep. 2017;7:4492. doi: 10.1038/s41598-017-04991-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Freund C., Wahlers A., Begli N.H., Leopold Y., Kloters-Plachky P., Mehrabi A., Mohr I., Sander J., Rupp C., Gotthardt D.N., et al. The MBOAT7 rs641738 variant is associated with an improved outcome in primary sclerosing cholangitis. Clin. Res. Hepatol. Gastroenterol. 2020;44:646–652. doi: 10.1016/j.clinre.2019.12.006. [DOI] [PubMed] [Google Scholar]
  • 109.Meroni M., Dongiovanni P., Longo M., Carli F., Baselli G., Rametta R., Pelusi S., Badiali S., Maggioni M., Gaggini M., et al. Mboat7 down-regulation by hyper-insulinemia induces fat accumulation in hepatocytes. EBioMedicine. 2020;52:102658. doi: 10.1016/j.ebiom.2020.102658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Zarini S., Hankin J.A., Murphy R.C., Gijon M.A. Lysophospholipid acyltransferases and eicosanoid biosynthesis in zebrafish myeloid cells. Prostaglandins Other Lipid Mediat. 2014;113–115:52–61. doi: 10.1016/j.prostaglandins.2014.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Gijon M.A., Riekhof W.R., Zarini S., Murphy R.C., Voelker D.R. Lysophospholipid acyltransferases and arachidonate recycling in human neutrophils. J. Biol. Chem. 2008;283:30235–30245. doi: 10.1074/jbc.M806194200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Vogel P., Read R.W., Hansen G.M., Payne B.J., Small D., Sands A.T., Zambrowicz B.P. Congenital hydrocephalus in genetically engineered mice. Vet. Pathol. 2012;49:166–181. doi: 10.1177/0300985811415708. [DOI] [PubMed] [Google Scholar]
  • 113.Lee H.C., Inoue T., Sasaki J., Kubo T., Matsuda S., Nakasaki Y., Hattori M., Tanaka F., Udagawa O., Kono N., et al. LPIAT1 regulates arachidonic acid content in phosphatidylinositol and is required for cortical lamination in mice. Mol. Biol. Cell. 2012;23:4689–4700. doi: 10.1091/mbc.e12-09-0673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Ruis-Gonzalez M.D., Canete M.D., Gomez-Chaparro J.L., Abril N., Canete R., Lopez-Barea J. Alterations of protein expression in serum of infants with intrauterine growth restriction and different gestational ages. J. Proteom. 2015;119:169–182. doi: 10.1016/j.jprot.2015.02.003. [DOI] [PubMed] [Google Scholar]
  • 115.Johansen A., Rosti R.O., Musaev D., Sticca E., Harripaul R., Zaki M., Caglayan A.O., Azam M., Sultan T., Froukh T., et al. Mutations in MBOAT7, Encoding Lysophosphatidylinositol Acyltransferase I, Lead to Intellectual Disability Accompanied by Epilepsy and Autistic Features. Am. J. Hum. Genet. 2016;99:912–916. doi: 10.1016/j.ajhg.2016.07.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Stickel F., Moreno C., Hampe J., Morgan M.Y. The genetics of alcohol dependence and alcohol-related liver disease. J. Hepatol. 2017;66:195–211. doi: 10.1016/j.jhep.2016.08.011. [DOI] [PubMed] [Google Scholar]
  • 117.Buch S., Stickel F., Trepo E. A genome-wide association study confirms PNPLA3 and identifies TM6SF2 and MBOAT7 as risk loci for alcohol-related cirrhosis. Nat. Genet. 2015;47:1443–1448. doi: 10.1038/ng.3417. [DOI] [PubMed] [Google Scholar]
  • 118.Mancina R.M., Dongiovanni P., Petta S., Pingitore P., Meroni M., Rametta R., Borén J., Montalcini T., Pujia A., Wiklund O., et al. The MBOAT7-TMC4 Variant rs641738 Increases Risk of Nonalcoholic Fatty Liver Disease in Individuals of European Descent. Gastroenterology. 2016;150:1219–1230.e1216. doi: 10.1053/j.gastro.2016.01.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Luukkonen P.K., Zhou Y., Hyötyläinen T., Leivonen M., Arola J., Orho-Melander M., Orešič M., Yki-Järvinen H. The MBOAT7 variant rs641738 alters hepatic phosphatidylinositols and increases severity of non-alcoholic fatty liver disease in humans. J. Hepatol. 2016;65:1263–1265. doi: 10.1016/j.jhep.2016.07.045. [DOI] [PubMed] [Google Scholar]
  • 120.Viitasalo A., Eloranta A.M., Atalay M., Romeo S., Pihlajamaki J., Lakka T.A. Association of MBOAT7 gene variant with plasma ALT levels in children: The PANIC study. Pediatric Res. 2016;80:651–655. doi: 10.1038/pr.2016.139. [DOI] [PubMed] [Google Scholar]
  • 121.Di Sessa A., Umano G.R., Cirillo G., Del Prete A., Iacomino R., Marzuillo P., Del Giudice E.M. The Membrane-bound O-Acyltransferase7 rs641738 Variant in Pediatric Nonalcoholic Fatty Liver Disease. J. Pediatric Gastroenterol. Nutr. 2018;67:69–74. doi: 10.1097/MPG.0000000000001979. [DOI] [PubMed] [Google Scholar]
  • 122.Krawczyk M., Rau M., Schattenberg J.M., Bantel H., Pathil A., Demir M., Kluwe J., Boettler T., Lammert F., Geier A. Combined effects of the PNPLA3 rs738409, TM6SF2 rs58542926, and MBOAT7 rs641738 variants on NAFLD severity: A multicenter biopsy-based study. J. Lipid Res. 2017;58:247–255. doi: 10.1194/jlr.P067454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Thabet K., Chan H.L.Y., Petta S., Mangia A., Berg T., Boonstra A., Brouwer W.P., Abate M.L., Wong V.W., Nazmy M., et al. The membrane-bound O-acyltransferase domain-containing 7 variant rs641738 increases inflammation and fibrosis in chronic hepatitis B. Hepatology. 2017;65:1840–1850. doi: 10.1002/hep.29064. [DOI] [PubMed] [Google Scholar]
  • 124.Thabet K., Asimakopoulos A., Shojaei M., Romero-Gomez M., Mangia A., Irving W.L., Berg T., Dore G.J., Gronbaek H., Sheridan D., et al. MBOAT7 rs641738 increases risk of liver inflammation and transition to fibrosis in chronic hepatitis C. Nat. Commun. 2016;7:12757. doi: 10.1038/ncomms12757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Pelusi S., Baselli G. Rare Pathogenic Variants Predispose to Hepatocellular Carcinoma in Nonalcoholic Fatty Liver Disease. Sci. Rep. 2019;9:3682. doi: 10.1038/s41598-019-39998-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Xia Y., Huang C.X., Li G.Y., Chen K.H., Han L., Tang L., Luo H.Q., Bao M.H. Meta-analysis of the association between MBOAT7 rs641738, TM6SF2 rs58542926 and nonalcoholic fatty liver disease susceptibility. Clin. Res. Hepatol. Gastroenterol. 2019;43:533–541. doi: 10.1016/j.clinre.2019.01.008. [DOI] [PubMed] [Google Scholar]
  • 127.Sookoian S., Flichman D., Garaycoechea M.E., Gazzi C., Martino J.S., Castaño G.O., Pirola C.J. Lack of evidence supporting a role of TMC4-rs641738 missense variant-MBOAT7- intergenic downstream variant-in the Susceptibility to Nonalcoholic Fatty Liver Disease. Sci. Rep. 2018;8:5097. doi: 10.1038/s41598-018-23453-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Basyte-Bacevice V., Skieceviciene J., Valantiene I., Sumskiene J., Petrenkiene V., Kondrackiene J., Petrauskas D., Lammert F., Kupcinskas J. TM6SF2 and MBOAT7 Gene Variants in Liver Fibrosis and Cirrhosis. Int. J. Mol. Sci. 2019;20:1277. doi: 10.3390/ijms20061277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Koo B.K., Joo S.K., Kim D. Additive effects of PNPLA3 and TM6SF2 on the histological severity of non-alcoholic fatty liver disease. J. Gastroenterol. Hepatol. 2018;33:1277–1285. doi: 10.1111/jgh.14056. [DOI] [PubMed] [Google Scholar]
  • 130.Anstee Q.M., Darlay R., Cockell S., Meroni M., Govaere O., Tiniakos D., Burt A.D., Bedossa P., Palmer J., Liu Y.L., et al. Genome-wide association study of non-alcoholic fatty liver and steatohepatitis in a histologically-characterised cohort. J. Hepatol. 2020;73:505–515. doi: 10.1016/j.jhep.2020.04.003. [DOI] [PubMed] [Google Scholar]
  • 131.Teo K., Abeysekera K.W.M., Adams L., Aigner E., Anstee Q.M., Banales J.M., Banerjee R., Basu P., Berg T., Bhatnagar P., et al. rs641738C > T near MBOAT7 is associated with liver fat, ALT and fibrosis in NAFLD: A meta-analysis. J. Hepatol. 2021;74:20–30. doi: 10.1016/j.jhep.2020.08.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Meroni M., Longo M., Fracanzani A.L., Dongiovanni P. MBOAT7 down-regulation by genetic and environmental factors predisposes to MAFLD. EBioMedicine. 2020;57:102866. doi: 10.1016/j.ebiom.2020.102866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Helsley R.N., Varadharajan V., Brown A.L., Gromovsky A.D., Schugar R.C., Ramachandiran I., Fung K., Kabbany M.N., Banerjee R., Neumann C.K., et al. Obesity-linked suppression of membrane-bound O-acyltransferase 7 (MBOAT7) drives non-alcoholic fatty liver disease. eLife. 2019;8:8. doi: 10.7554/eLife.49882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Umano G.R., Caprio S., Di Sessa A., Chalasani N., Dykas D.J., Pierpont B., Bale A.E., Santoro N. The rs626283 Variant in the MBOAT7 Gene is Associated with Insulin Resistance and Fatty Liver in Caucasian Obese Youth. Am. J. Gastroenterol. 2018;113:376–383. doi: 10.1038/ajg.2018.1. [DOI] [PubMed] [Google Scholar]
  • 135.Xia M., Chandrasekaran P., Rong S., Fu X., Mitsche M.A. Hepatic Deletion of Mboat7 (Lpiat1) Causes Activation of SREBP-1c and Fatty Liver. J. Lipid Res. 2021;62:100031. doi: 10.1194/jlr.RA120000856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Tanaka Y., Shimanaka Y., Caddeo A., Kubo T., Mao Y., Kubota T., Kubota N., Yamauchi T., Mancina R.M., Baselli G., et al. LPIAT1/MBOAT7 depletion increases triglyceride synthesis fueled by high phosphatidylinositol turnover. Gut. 2021;70:180–193. doi: 10.1136/gutjnl-2020-320646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Fondevila M.F., Fernandez U., Gonzalez-Rellan M.J., Da Silva Lima N., Buque X., Gonzalez-Rodriguez A., Alonso C., Iruarrizaga-Lejarreta M., Delgado T.C., Varela-Rey M., et al. The L-α-lysophosphatidylinositol/GPR55 system induces the development of non-alcoholic steatosis and steatohepatitis. Hepatology. 2021;73:606–624. doi: 10.1002/hep.31290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Thangapandi V.R., Knittelfelder O. Loss of hepatic Mboat7 leads to liver fibrosis. Gut. 2021;70:940–950. doi: 10.1136/gutjnl-2020-320853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Romeo S., Sanyal A., Valenti L. Leveraging Human Genetics to Identify Potential New Treatments for Fatty Liver Disease. Cell Metab. 2020;31:35–45. doi: 10.1016/j.cmet.2019.12.002. [DOI] [PubMed] [Google Scholar]
  • 140.Sookoian S., Pirola C.J., Valenti L. Genetic pathways in nonalcoholic fatty liver disease: Insights from systems biology. Hepatology. 2020;72:330–346. doi: 10.1002/hep.31229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Eslam M., George J. Genetic Insights for Drug Development in NAFLD. Trends Pharmacol. Sci. 2019;40:506–516. doi: 10.1016/j.tips.2019.05.002. [DOI] [PubMed] [Google Scholar]
  • 142.Petta S., Miele L., Bugianesi E., Cammà C., Rosso C., Boccia S., Cabibi D., Di Marco V., Grimaudo S., Grieco A., et al. Glucokinase regulatory protein gene polymorphism affects liver fibrosis in non-alcoholic fatty liver disease. PLoS ONE. 2014;9:e87523. doi: 10.1371/journal.pone.0087523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Santoro N., Zhang C.K., Zhao H., Pakstis A.J., Kim G., Kursawe R., Dykas D.J., Bale A.E., Giannini C., Pierpont B., et al. Variant in the glucokinase regulatory protein (GCKR) gene is associated with fatty liver in obese children and adolescents. Hepatology. 2012;55:781–789. doi: 10.1002/hep.24806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Raimondo A., Rees M.G., Gloyn A.L. Glucokinase regulatory protein: Complexity at the crossroads of triglyceride and glucose metabolism. Curr. Opin. Lipidol. 2015;26:88–95. doi: 10.1097/MOL.0000000000000155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Santoro N., Caprio S., Pierpont B., Van Name M., Savoye M., Parks E.J. Hepatic De Novo Lipogenesis in Obese Youth Is Modulated by a Common Variant in the GCKR Gene. J. Clin. Endocrinol. Metab. 2015;100:E1125–E1132. doi: 10.1210/jc.2015-1587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Tan H.L., Zain S.M., Mohamed R., Rampal S., Chin K.F., Basu R.C., Cheah P.L., Mahadeva S., Mohamed Z. Association of glucokinase regulatory gene polymorphisms with risk and severity of non-alcoholic fatty liver disease: An interaction study with adiponutrin gene. J. Gastroenterol. 2014;49:1056–1064. doi: 10.1007/s00535-013-0850-x. [DOI] [PubMed] [Google Scholar]
  • 147.Kawaguchi T., Shima T., Mizuno M., Mitsumoto Y., Umemura A., Kanbara Y., Tanaka S., Sumida Y., Yasui K., Takahashi M., et al. Risk estimation model for nonalcoholic fatty liver disease in the Japanese using multiple genetic markers. PLoS ONE. 2018;13:e0185490. doi: 10.1371/journal.pone.0185490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Kozian D.H., Barthel A., Cousin E., Brunnhöfer R., Anderka O., März W., Böhm B., Winkelmann B., Bornstein S.R., Schmoll D. Glucokinase-activating GCKR polymorphisms increase plasma levels of triglycerides and free fatty acids, but do not elevate cardiovascular risk in the Ludwigshafen Risk and Cardiovascular Health Study. Horm. Metab. Res. 2010;42:502–506. doi: 10.1055/s-0030-1249637. [DOI] [PubMed] [Google Scholar]
  • 149.Abul-Husn N.S., Cheng X., Li A.H., Xin Y., Schurmann C., Stevis P., Liu Y., Kozlitina J., Stender S., Wood G.C., et al. A Protein-Truncating HSD17B13 Variant and Protection from Chronic Liver Disease. N. Engl. J. Med. 2018;378:1096–1106. doi: 10.1056/NEJMoa1712191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Horiguchi Y., Araki M., Motojima K. 17beta-Hydroxysteroid dehydrogenase type 13 is a liver-specific lipid droplet-associated protein. Biochem. Biophys. Res. Commun. 2008;370:235–238. doi: 10.1016/j.bbrc.2008.03.063. [DOI] [PubMed] [Google Scholar]
  • 151.Su W., Wang Y., Jia X., Wu W., Li L., Tian X., Li S., Wang C., Xu H., Cao J., et al. Comparative proteomic study reveals 17beta-HSD13 as a pathogenic protein in nonalcoholic fatty liver disease. Proc. Natl. Acad. Sci. USA. 2014;111:11437–11442. doi: 10.1073/pnas.1410741111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Kozlitina J., Stender S., Hobbs H.H., Cohen J.C. HSD17B13 and Chronic Liver Disease in Blacks and Hispanics. N. Engl. J. Med. 2018;379:1876–1877. doi: 10.1056/NEJMc1804027. [DOI] [PubMed] [Google Scholar]
  • 153.Pirola C.J., Garaycoechea M., Flichman D. Splice variant rs72613567 prevents worst histologic outcomes in patients with nonalcoholic fatty liver disease. J. Lipid Res. 2019;60:176–185. doi: 10.1194/jlr.P089953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Luukkonen P.K., Tukiainen T., Juuti A., Sammalkorpi H., Haridas P.A.N., Niemelä O., Arola J., Orho-Melander M., Hakkarainen A., Kovanen P.T., et al. Hydroxysteroid 17-β dehydrogenase 13 variant increases phospholipids and protects against fibrosis in nonalcoholic fatty liver disease. JCI Insight. 2020;5:e132158. doi: 10.1172/jci.insight.132158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Gellert-Kristensen H., Nordestgaard B.G., Tybjaerg-Hansen A., Stender S. High Risk of Fatty Liver Disease Amplifies the Alanine Transaminase-Lowering Effect of a HSD17B13 Variant. Hepatology. 2020;71:56–66. doi: 10.1002/hep.30799. [DOI] [PubMed] [Google Scholar]
  • 156.Yang J., Trepo E., Nahon P., Cao Q., Moreno C., Letouze E., Imbeaud S., Bayard Q., Gustot T., Deviere J., et al. A 17-Beta-Hydroxysteroid Dehydrogenase 13 Variant Protects From Hepatocellular Carcinoma Development in Alcoholic Liver Disease. Hepatology. 2019;70:231–240. doi: 10.1002/hep.30623. [DOI] [PubMed] [Google Scholar]
  • 157.Lu C., Fang S., Weng Q., Lv X., Meng M., Zhu J., Zheng L., Hu Y., Gao Y., Wu X., et al. Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma. Cell Commun. Signal. CCS. 2020;18:97. doi: 10.1186/s12964-020-00539-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Mann J.P., Pietzner M., Wittemans L.B., Rolfe E.L., Kerrison N.D., Imamura F., Forouhi N.G., Fauman E., Allison M.E., Griffin J.L., et al. Insights into genetic variants associated with NASH-fibrosis from metabolite profiling. Hum. Mol. Genet. 2020;29:3451–3463. doi: 10.1093/hmg/ddaa162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Stender S., Smagris E., Lauridsen B.K., Kofoed K.F., Nordestgaard B.G., Tybjaerg-Hansen A., Pennacchio L.A., Dickel D.E., Cohen J.C., Hobbs H.H. Relationship between genetic variation at PPP1R3B and levels of liver glycogen and triglyceride. Hepatology. 2018;67:2182–2195. doi: 10.1002/hep.29751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Dongiovanni P., Meroni M., Mancina R.M., Baselli G., Rametta R., Pelusi S., Mannisto V., Fracanzani A.L., Badiali S., Miele L., et al. Protein phosphatase 1 regulatory subunit 3B gene variation protects against hepatic fat accumulation and fibrosis in individuals at high risk of nonalcoholic fatty liver disease. Hepatol. Commun. 2018;2:666–675. doi: 10.1002/hep4.1192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Mehta M.B., Shewale S.V., Sequeira R.N., Millar J.S., Hand N.J. Hepatic protein phosphatase 1 regulatory subunit 3B (Ppp1r3b) promotes hepatic glycogen synthesis and thereby regulates fasting energy homeostasis. J. Biol. Chem. 2017;292:10444–10454. doi: 10.1074/jbc.M116.766329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Dongiovanni P., Rametta R., Meroni M., Valenti L. The role of insulin resistance in nonalcoholic steatohepatitis and liver disease development—A potential therapeutic target? Expert Rev. Gastroenterol. Hepatol. 2016;10:229–242. doi: 10.1586/17474124.2016.1110018. [DOI] [PubMed] [Google Scholar]
  • 163.Dongiovanni P., Meroni M., Baselli G.A., Bassani G.A., Rametta R., Pietrelli A., Maggioni M., Facciotti F., Trunzo V., Badiali S., et al. Insulin resistance promotes Lysyl Oxidase Like 2 induction and fibrosis accumulation in non-alcoholic fatty liver disease. Clin. Sci. 2017;131:1301–1315. doi: 10.1042/CS20170175. [DOI] [PubMed] [Google Scholar]
  • 164.Angulo P., Kleiner D.E., Dam-Larsen S., Adams L.A., Bjornsson E.S., Charatcharoenwitthaya P., Mills P.R., Keach J.C., Lafferty H.D., Stahler A., et al. Liver Fibrosis, but No Other Histologic Features, Is Associated With Long-term Outcomes of Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 2015;149:389–397.e310. doi: 10.1053/j.gastro.2015.04.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.McPherson S., Hardy T., Henderson E., Burt A.D., Day C.P., Anstee Q.M. Evidence of NAFLD progression from steatosis to fibrosing-steatohepatitis using paired biopsies: Implications for prognosis and clinical management. J. Hepatol. 2015;62:1148–1155. doi: 10.1016/j.jhep.2014.11.034. [DOI] [PubMed] [Google Scholar]
  • 166.Pelusi S., Petta S., Rosso C., Borroni V., Fracanzani A.L., Dongiovanni P., Craxi A., Bugianesi E., Fargion S., Valenti L. Renin-Angiotensin System Inhibitors, Type 2 Diabetes and Fibrosis Progression: An Observational Study in Patients with Nonalcoholic Fatty Liver Disease. PLoS ONE. 2016;11:e0163069. doi: 10.1371/journal.pone.0163069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Dongiovanni P., Valenti L., Rametta R., Daly A.K., Nobili V., Mozzi E., Leathart J.B., Pietrobattista A., Burt A.D., Maggioni M., et al. Genetic variants regulating insulin receptor signalling are associated with the severity of liver damage in patients with non-alcoholic fatty liver disease. Gut. 2010;59:267–273. doi: 10.1136/gut.2009.190801. [DOI] [PubMed] [Google Scholar]
  • 168.Kitamoto A., Kitamoto T., Nakamura T., Ogawa Y., Yoneda M., Hyogo H., Ochi H., Mizusawa S., Ueno T., Nakao K., et al. Association of polymorphisms in GCKR and TRIB1 with nonalcoholic fatty liver disease and metabolic syndrome traits. Endocr. J. 2014;61:683–689. doi: 10.1507/endocrj.EJ14-0052. [DOI] [PubMed] [Google Scholar]
  • 169.Cefalù A.B., Pirruccello J.P., Noto D., Gabriel S., Valenti V., Gupta N., Spina R., Tarugi P., Kathiresan S., Averna M.R. A novel APOB mutation identified by exome sequencing cosegregates with steatosis, liver cancer, and hypocholesterolemia. Arterioscler. Thromb. Vasc. Biol. 2013;33:2021–2025. doi: 10.1161/ATVBAHA.112.301101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Di Filippo M., Moulin P., Roy P., Samson-Bouma M.E., Collardeau-Frachon S., Chebel-Dumont S., Peretti N., Dumortier J., Zoulim F., Fontanges T., et al. Homozygous MTTP and APOB mutations may lead to hepatic steatosis and fibrosis despite metabolic differences in congenital hypocholesterolemia. J. Hepatol. 2014;61:891–902. doi: 10.1016/j.jhep.2014.05.023. [DOI] [PubMed] [Google Scholar]
  • 171.Petersen K.F., Dufour S., Hariri A., Nelson-Williams C., Foo J.N., Zhang X.M., Dziura J., Lifton R.P., Shulman G.I. Apolipoprotein C3 gene variants in nonalcoholic fatty liver disease. N. Engl. J. Med. 2010;362:1082–1089. doi: 10.1056/NEJMoa0907295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Kozlitina J., Boerwinkle E., Cohen J.C., Hobbs H.H. Dissociation between APOC3 variants, hepatic triglyceride content and insulin resistance. Hepatology. 2011;53:467–474. doi: 10.1002/hep.24072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Valenti L., Nobili V., Al-Serri A., Rametta R., Leathart J.B., Zappa M.A., Dongiovanni P., Fracanzani A.L., Alterio A., Roviaro G., et al. The APOC3 T-455C and C-482T promoter region polymorphisms are not associated with the severity of liver damage independently of PNPLA3 I148M genotype in patients with nonalcoholic fatty liver. J. Hepatol. 2011;55:1409–1414. doi: 10.1016/j.jhep.2011.03.035. [DOI] [PubMed] [Google Scholar]
  • 174.Dongiovanni P., Meroni M., Baselli G., Mancina R.M., Ruscica M., Longo M., Rametta R., Cespiati A., Pelusi S., Ferri N., et al. PCSK7 gene variation bridges atherogenic dyslipidemia with hepatic inflammation in NAFLD patients. J. Lipid Res. 2019;60:1144–1153. doi: 10.1194/jlr.P090449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Huang T., Huang J., Qi Q., Li Y., Bray G.A., Rood J., Sacks F.M., Qi L. PCSK7 genotype modifies effect of a weight-loss diet on 2-year changes of insulin resistance: The POUNDS LOST trial. Diabetes Care. 2015;38:439–444. doi: 10.2337/dc14-0473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176.Ashraf Y., Duval S., Sachan V., Essalmani R., Susan-Resiga D., Roubtsova A., Hamelin J., Gerhardy S., Kirchhofer D., Tagliabracci V.S., et al. Proprotein convertase 7 (PCSK7) reduces apoA-V levels. FEBS J. 2020;287:3565–3578. doi: 10.1111/febs.15212. [DOI] [PubMed] [Google Scholar]
  • 177.Cohen J., Pertsemlidis A., Kotowski I.K., Graham R., Garcia C.K., Hobbs H.H. Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9. Nat. Genet. 2005;37:161–165. doi: 10.1038/ng1509. [DOI] [PubMed] [Google Scholar]
  • 178.Ruscica M., Ferri N., Macchi C., Meroni M., Lanti C., Ricci C., Maggioni M., Fracanzani A.L., Badiali S., Fargion S., et al. Liver fat accumulation is associated with circulating PCSK9. Ann. Med. 2016;48:384–391. doi: 10.1080/07853890.2016.1188328. [DOI] [PubMed] [Google Scholar]
  • 179.Trinder M., Francis G.A., Brunham L.R. Association of Monogenic vs Polygenic Hypercholesterolemia With Risk of Atherosclerotic Cardiovascular Disease. JAMA Cardiol. 2020;5:390–399. doi: 10.1001/jamacardio.2019.5954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Costet P., Cariou B., Lambert G., Lalanne F., Lardeux B., Jarnoux A.L., Grefhorst A., Staels B., Krempf M. Hepatic PCSK9 expression is regulated by nutritional status via insulin and sterol regulatory element-binding protein 1c. J. Biol. Chem. 2006;281:6211–6218. doi: 10.1074/jbc.M508582200. [DOI] [PubMed] [Google Scholar]
  • 181.Kotowski I.K., Pertsemlidis A., Luke A., Cooper R.S., Vega G.L., Cohen J.C., Hobbs H.H. A spectrum of PCSK9 alleles contributes to plasma levels of low-density lipoprotein cholesterol. Am. J. Hum. Genet. 2006;78:410–422. doi: 10.1086/500615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Grimaudo S., Bartesaghi S., Rametta R., Marra F., Mancina R.M., Pihlajamäki J., Kakol-Palm D., Andréasson A.C., Don-giovanni P., Fracanzani A.L., et al. PCSK9 rs11591147 R46L loss-of-function variant protects against liver damage in individuals with NAFLD. Liver Int. 2021;41:321–332. doi: 10.1111/liv.14711. [DOI] [PubMed] [Google Scholar]
  • 183.Gomaraschi M., Fracanzani A.L., Dongiovanni P., Pavanello C., Giorgio E., Da Dalt L., Norata G.D., Calabresi L., Consonni D., Lombardi R., et al. Lipid accumulation impairs lysosomal acid lipase activity in hepatocytes: Evidence in NAFLD patients and cell cultures. Biochim. Biophys. Acta. Mol. Cell Biol. Lipids. 2019;1864:158523. doi: 10.1016/j.bbalip.2019.158523. [DOI] [PubMed] [Google Scholar]
  • 184.Reiner Ž., Guardamagna O., Nair D., Soran H., Hovingh K., Bertolini S., Jones S., Ćorić M., Calandra S., Hamilton J., et al. Lysosomal acid lipase deficiency--an under-recognized cause of dyslipidaemia and liver dysfunction. Atherosclerosis. 2014;235:21–30. doi: 10.1016/j.atherosclerosis.2014.04.003. [DOI] [PubMed] [Google Scholar]
  • 185.Lyons H., Vouyoukas E., Higgins M., Maciejko J.J. Clinical and Histologic Liver Improvement in Siblings With Lysosomal Acid Lipase Deficiency After Enzyme Replacement. J. Pediatric Gastroenterol. Nutr. 2020;70:635–639. doi: 10.1097/MPG.0000000000002671. [DOI] [PubMed] [Google Scholar]
  • 186.Malinová V., Balwani M., Sharma R., Arnoux J.B., Kane J., Whitley C.B., Marulkar S., Abel F. Sebelipase alfa for lysosomal acid lipase deficiency: 5-year treatment experience from a phase 2 open-label extension study. Liver Int. Off. J. Int. Assoc. Study Liver. 2020;40:2203–2214. doi: 10.1111/liv.14603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Auinger A., Valenti L., Pfeuffer M., Helwig U., Herrmann J., Fracanzani A.L., Dongiovanni P., Fargion S., Schrezenmeir J., Rubin D. A promoter polymorphism in the liver-specific fatty acid transport protein 5 is associated with features of the metabolic syndrome and steatosis. Horm. Metab. Res. 2010;42:854–859. doi: 10.1055/s-0030-1267186. [DOI] [PubMed] [Google Scholar]
  • 188.Valenti L., Motta B.M., Alisi A., Sartorelli R., Buonaiuto G., Dongiovanni P., Rametta R., Pelusi S., Fargion S., Nobili V. LPIN1 rs13412852 polymorphism in pediatric nonalcoholic fatty liver disease. J. Pediatric Gastroenterol. Nutr. 2012;54:588–593. doi: 10.1097/MPG.0b013e3182442a55. [DOI] [PubMed] [Google Scholar]
  • 189.Faulkner C.S., White C.M., Shah V.H., Jophlin L.L. A single nucleotide polymorphism of PLIN2 is associated with nonalcoholic steatohepatitis and causes phenotypic changes in hepatocyte lipid droplets: A pilot study. Biochim. Biophys. Acta. Mol. Cell Biol. Lipids. 2020;1865:158637. doi: 10.1016/j.bbalip.2020.158637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Magné J., Aminoff A., Perman Sundelin J., Mannila M.N., Gustafsson P., Hultenby K., Wernerson A., Bauer G., Listenberger L., Neville M.J., et al. The minor allele of the missense polymorphism Ser251Pro in perilipin 2 (PLIN2) disrupts an α-helix, affects lipolysis, and is associated with reduced plasma triglyceride concentration in humans. FASEB J. Off. Publ. Fed. Am. Soc. Exp. Biol. 2013;27:3090–3099. doi: 10.1096/fj.13-228759. [DOI] [PubMed] [Google Scholar]
  • 191.Drevinge C., Dalen K.T., Mannila M.N., Täng M.S., Ståhlman M., Klevstig M., Lundqvist A., Mardani I., Haugen F., Fogelstrand P., et al. Perilipin 5 is protective in the ischemic heart. Int. J. Cardiol. 2016;219:446–454. doi: 10.1016/j.ijcard.2016.06.037. [DOI] [PubMed] [Google Scholar]
  • 192.Kuramoto K., Okamura T., Yamaguchi T., Nakamura T.Y., Wakabayashi S., Morinaga H., Nomura M., Yanase T., Otsu K., Usuda N., et al. Perilipin 5, a lipid droplet-binding protein, protects heart from oxidative burden by sequestering fatty acid from excessive oxidation. J. Biol. Chem. 2012;287:23852–23863. doi: 10.1074/jbc.M111.328708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Lin Y.C., Chang P.F., Lin H.F., Liu K., Chang M.H., Ni Y.H. Variants in the autophagy-related gene IRGM confer susceptibility to non-alcoholic fatty liver disease by modulating lipophagy. J. Hepatol. 2016;65:1209–1216. doi: 10.1016/j.jhep.2016.06.029. [DOI] [PubMed] [Google Scholar]
  • 194.Schwerbel K., Kamitz A., Krahmer N., Hallahan N., Jähnert M., Gottmann P., Lebek S., Schallschmidt T., Arends D., Schumacher F., et al. Immunity-related GTPase induces lipophagy to prevent excess hepatic lipid accumulation. J. Hepatol. 2020;73:771–782. doi: 10.1016/j.jhep.2020.04.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Marra F., Bertolani C. Adipokines in liver diseases. Hepatology. 2009;50:957–969. doi: 10.1002/hep.23046. [DOI] [PubMed] [Google Scholar]
  • 196.Miele L., Valenza V., La Torre G., Montalto M., Cammarota G., Ricci R., Masciana R., Forgione A., Gabrieli M.L., Perotti G., et al. Increased intestinal permeability and tight junction alterations in nonalcoholic fatty liver disease. Hepatology. 2009;49:1877–1887. doi: 10.1002/hep.22848. [DOI] [PubMed] [Google Scholar]
  • 197.Bilzer M., Roggel F., Gerbes A.L. Role of Kupffer cells in host defense and liver disease. Liver Int. Off. J. Int. Assoc. Study Liver. 2006;26:1175–1186. doi: 10.1111/j.1478-3231.2006.01342.x. [DOI] [PubMed] [Google Scholar]
  • 198.Eslam M., McLeod D., Kelaeng K.S., Mangia A., Berg T., Thabet K., Irving W.L., Dore G.J., Sheridan D., Grønbæk H., et al. IFN-λ3, not IFN-λ4, likely mediates IFNL3-IFNL4 haplotype-dependent hepatic inflammation and fibrosis. Nat. Genet. 2017;49:795–800. doi: 10.1038/ng.3836. [DOI] [PubMed] [Google Scholar]
  • 199.Petta S., Grimaudo S., Cammà C., Cabibi D., Di Marco V., Licata G., Pipitone R.M., Craxì A. IL28B and PNPLA3 polymorphisms affect histological liver damage in patients with non-alcoholic fatty liver disease. J. Hepatol. 2012;56:1356–1362. doi: 10.1016/j.jhep.2012.01.007. [DOI] [PubMed] [Google Scholar]
  • 200.Eslam M., Hashem A.M., Leung R., Romero-Gomez M., Berg T., Dore G.J., Chan H.L., Irving W.L., Sheridan D., Abate M.L., et al. Interferon-λ rs12979860 genotype and liver fibrosis in viral and non-viral chronic liver disease. Nat. Commun. 2015;6:6422. doi: 10.1038/ncomms7422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Eslam M., Hashem A.M., Romero-Gomez M., Berg T., Dore G.J., Mangia A., Chan H.L.Y., Irving W.L., Sheridan D., Abate M.L., et al. FibroGENE: A gene-based model for staging liver fibrosis. J. Hepatol. 2016;64:390–398. doi: 10.1016/j.jhep.2015.11.008. [DOI] [PubMed] [Google Scholar]
  • 202.Petta S., Valenti L. Interferon lambda 4 rs368234815 TT > δG variant is associated with liver damage in patients with nonalcoholic fatty liver disease. J. Hepatol. 2017;66:1885–1893. doi: 10.1002/hep.29395. [DOI] [PubMed] [Google Scholar]
  • 203.Petta S., Valenti L., Svegliati-Baroni G., Ruscica M., Pipitone R.M., Dongiovanni P., Rychlicki C., Ferri N., Cammà C., Fracanzani A.L., et al. Fibronectin Type III Domain-Containing Protein 5 rs3480 A > G Polymorphism, Irisin, and Liver Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. J. Clin. Endocrinol. Metab. 2017;102:2660–2669. doi: 10.1210/jc.2017-00056. [DOI] [PubMed] [Google Scholar]
  • 204.Metwally M., Bayoumi A., Romero-Gomez M., Thabet K., John M., Adams L.A., Huo X., Aller R., García-Monzón C., Teresa Arias-Loste M., et al. A polymorphism in the Irisin-encoding gene (FNDC5) associates with hepatic steatosis by differential miRNA binding to the 3’UTR. J. Hepatol. 2019;70:494–500. doi: 10.1016/j.jhep.2018.10.021. [DOI] [PubMed] [Google Scholar]
  • 205.Gorden A., Yang R., Yerges-Armstrong L.M., Ryan K.A., Speliotes E., Borecki I.B., Harris T.B., Chu X., Wood G.C., Still C.D., 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;75:34–43. doi: 10.1159/000346195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Cai W., Weng D.H., Yan P., Lin Y.T., Dong Z.H., Mailamuguli, Yao H. Genetic polymorphisms associated with nonalcoholic fatty liver disease in Uyghur population: A case-control study and meta-analysis. Lipids Health Dis. 2019;18:14. doi: 10.1186/s12944-018-0877-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Cicione C., Degirolamo C., Moschetta A. Emerging role of fibroblast growth factors 15/19 and 21 as metabolic integrators in the liver. Hepatology. 2012;56:2404–2411. doi: 10.1002/hep.25929. [DOI] [PubMed] [Google Scholar]
  • 208.Dongiovanni P., Crudele A., Panera N., Romito I., Meroni M., De Stefanis C., Palma A., Comparcola D., Fracanzani A.L., Miele L., et al. beta-Klotho gene variation is associated with liver damage in children with NAFLD. J. Hepatol. 2020;72:411–419. doi: 10.1016/j.jhep.2019.10.011. [DOI] [PubMed] [Google Scholar]
  • 209.Markan K.R., Naber M.C., Small S.M., Peltekian L., Kessler R.L., Potthoff M.J. FGF21 resistance is not mediated by downregulation of beta-klotho expression in white adipose tissue. Mol. Metab. 2017;6:602–610. doi: 10.1016/j.molmet.2017.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210.Dushay J., Chui P.C., Gopalakrishnan G.S., Varela-Rey M., Crawley M., Fisher F.M., Badman M.K., Martinez-Chantar M.L., Maratos-Flier E. Increased fibroblast growth factor 21 in obesity and nonalcoholic fatty liver disease. Gastroenterology. 2010;139:456–463. doi: 10.1053/j.gastro.2010.04.054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 211.Gómez-Ambrosi J., Gallego-Escuredo J.M., Catalán V., Rodríguez A., Domingo P., Moncada R., Valentí V., Salvador J., Giralt M., Villarroya F., et al. FGF19 and FGF21 serum concentrations in human obesity and type 2 diabetes behave differently after diet- or surgically-induced weight loss. Clin. Nutr. (Edinb. Scotl. ) 2017;36:861–868. doi: 10.1016/j.clnu.2016.04.027. [DOI] [PubMed] [Google Scholar]
  • 212.Miele L., Beale G., Patman G., Nobili V., Leathart J., Grieco A., Abate M., Friedman S.L., Narla G., Bugianesi E., et al. The Kruppel-like factor 6 genotype is associated with fibrosis in nonalcoholic fatty liver disease. Gastroenterology. 2008;135:282–291.e281. doi: 10.1053/j.gastro.2008.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213.Rametta R., Meroni M. From Environment to Genome and Back: A Lesson from HFE Mutations. Int. J. Mol. Sci. 2020;21:3505. doi: 10.3390/ijms21103505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Petta S., Valenti L., Marra F., Grimaudo S., Tripodo C., Bugianesi E., Cammà C., Cappon A., Di Marco V., Di Maira G., et al. MERTK rs4374383 polymorphism affects the severity of fibrosis in non-alcoholic fatty liver disease. J. Hepatol. 2016;64:682–690. doi: 10.1016/j.jhep.2015.10.016. [DOI] [PubMed] [Google Scholar]
  • 215.Rüeger S., Bochud P.Y., Dufour J.F., Müllhaupt B., Semela D., Heim M.H., Moradpour D., Cerny A., Malinverni R., Booth D.R., et al. Impact of common risk factors of fibrosis progression in chronic hepatitis C. Gut. 2015;64:1605–1615. doi: 10.1136/gutjnl-2014-306997. [DOI] [PubMed] [Google Scholar]
  • 216.Cai B., Dongiovanni P., Corey K.E., Wang X., Shmarakov I.O., Zheng Z., Kasikara C., Davra V., Meroni M., Chung R.T., et al. Macrophage MerTK Promotes Liver Fibrosis in Nonalcoholic Steatohepatitis. Cell Metab. 2020;31:406–421.e407. doi: 10.1016/j.cmet.2019.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217.Nicolás-Ávila J.A., Lechuga-Vieco A.V., Esteban-Martínez L., Sánchez-Díaz M., Díaz-García E., Santiago D.J., Rubio-Ponce A., Li J.L., Balachander A., Quintana J.A., et al. A Network of Macrophages Supports Mitochondrial Homeostasis in the Heart. Cell. 2020;183:94–109.e123. doi: 10.1016/j.cell.2020.08.031. [DOI] [PubMed] [Google Scholar]
  • 218.Aravinthan A., Mells G., Allison M., Leathart J., Kotronen A., Yki-Jarvinen H., Daly A.K., Day C.P., Anstee Q.M., Alexander G. Gene polymorphisms of cellular senescence marker p21 and disease progression in non-alcohol-related fatty liver disease. Cell Cycle (Georget. Tex.) 2014;13:1489–1494. doi: 10.4161/cc.28471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Calado R.T., Regal J.A., Kleiner D.E., Schrump D.S., Peterson N.R., Pons V., Chanock S.J., Lansdorp P.M., Young N.S. A spectrum of severe familial liver disorders associate with telomerase mutations. PLoS ONE. 2009;4:e7926. doi: 10.1371/journal.pone.0007926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Meroni M., Longo M., Paolini E., Alisi A., Miele L., De Caro E.R., Pisano G., Maggioni M., Soardo G., Valenti L.V., et al. The rs599839 A > G Variant Disentangles Cardiovascular Risk and Hepatocellular Carcinoma in NAFLD Patients. Cancers (Basel) 2021;13:1783. doi: 10.3390/cancers13081783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Dongiovanni P., Meroni M., Petta S., Longo M., Alisi A., Soardo G., Valenti L., Miele L., Grimaudo S., Pennisi G., et al. Neurotensin up-regulation is associated with advanced fibrosis and hepatocellular carcinoma in patients with MAFLD. Biochim. Biophys. Acta. Mol. Cell Biol. Lipids. 2020;1865:158765. doi: 10.1016/j.bbalip.2020.158765. [DOI] [PubMed] [Google Scholar]
  • 222.Pessayre D., Fromenty B. NASH: A mitochondrial disease. J. Hepatol. 2005;42:928–940. doi: 10.1016/j.jhep.2005.03.004. [DOI] [PubMed] [Google Scholar]
  • 223.Mansouri A., Gattolliat C.H., Asselah T. Mitochondrial Dysfunction and Signaling in Chronic Liver Diseases. Gastroenterology. 2018;155:629–647. doi: 10.1053/j.gastro.2018.06.083. [DOI] [PubMed] [Google Scholar]
  • 224.Namikawa C., Shu-Ping Z., Vyselaar J.R., Nozaki Y., Nemoto Y., Ono M., Akisawa N., Saibara T., Hiroi M., Enzan H., et al. Polymorphisms of microsomal triglyceride transfer protein gene and manganese superoxide dismutase gene in non-alcoholic steatohepatitis. J. Hepatol. 2004;40:781–786. doi: 10.1016/j.jhep.2004.01.028. [DOI] [PubMed] [Google Scholar]
  • 225.Al-Serri A., Anstee Q.M., Valenti L., Nobili V., Leathart J.B., Dongiovanni P., Patch J., Fracanzani A., Fargion S., Day C.P., et al. The SOD2 C47T polymorphism influences NAFLD fibrosis severity: Evidence from case-control and intra-familial allele association studies. J. Hepatol. 2012;56:448–454. doi: 10.1016/j.jhep.2011.05.029. [DOI] [PubMed] [Google Scholar]
  • 226.Fares R., Petta S., Lombardi R., Grimaudo S., Dongiovanni P., Pipitone R., Rametta R., Fracanzani A.L., Mozzi E., Craxì A., et al. The UCP2 -866 G > A promoter region polymorphism is associated with nonalcoholic steatohepatitis. Liver Int. Off. J. Int. Assoc. Study Liver. 2015;35:1574–1580. doi: 10.1111/liv.12707. [DOI] [PubMed] [Google Scholar]
  • 227.Serviddio G., Bellanti F., Tamborra R., Rollo T., Capitanio N., Romano A.D., Sastre J., Vendemiale G., Altomare E. Uncoupling protein-2 (UCP2) induces mitochondrial proton leak and increases susceptibility of non-alcoholic steatohepatitis (NASH) liver to ischaemia-reperfusion injury. Gut. 2008;57:957–965. doi: 10.1136/gut.2007.147496. [DOI] [PubMed] [Google Scholar]
  • 228.Aller R., De Luis D.A., Izaola O., González Sagrado M., Conde R., Alvarez T., Pacheco D., Velasco M.C. Role of -55CT polymorphism of UCP3 gene on non alcoholic fatty liver disease and insulin resistance in patients with obesity. Nutr. Hosp. 2010;25:572–576. [PubMed] [Google Scholar]
  • 229.Zhong L., Mostoslavsky R. Fine tuning our cellular factories: Sirtuins in mitochondrial biology. Cell Metab. 2011;13:621–626. doi: 10.1016/j.cmet.2011.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Dong C., Della-Morte D., Wang L., Cabral D., Beecham A., McClendon M.S., Luca C.C., Blanton S.H., Sacco R.L., Rundek T. Association of the sirtuin and mitochondrial uncoupling protein genes with carotid plaque. PLoS ONE. 2011;6:e27157. doi: 10.1371/journal.pone.0027157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231.Emdin C.A., Haas M.E. A missense variant in Mitochondrial Amidoxime Reducing Component 1 gene and protection against liver disease. PLoS Genet. 2020;16:e1008629. doi: 10.1371/journal.pgen.1008629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Innes H., Buch S., Hutchinson S., Guha I.N., Morling J.R., Barnes E., Irving W., Forrest E., Pedergnana V., Goldberg D., et al. Genome-Wide Association Study for Alcohol-Related Cirrhosis Identifies Risk Loci in MARC1 and HNRNPUL1. Gastroenterology. 2020;159:1276–1289.e1277. doi: 10.1053/j.gastro.2020.06.014. [DOI] [PubMed] [Google Scholar]
  • 233.Luukkonen P.K., Juuti A., Sammalkorpi H., Penttilä A.K., Orešič M., Hyötyläinen T., Arola J., Orho-Melander M., Yki-Järvinen H. MARC1 variant rs2642438 increases hepatic phosphatidylcholines and decreases severity of non-alcoholic fatty liver disease in humans. J. Hepatol. 2020;73:725–726. doi: 10.1016/j.jhep.2020.04.021. [DOI] [PubMed] [Google Scholar]
  • 234.Schneider C.V., Schneider K.M., Conlon D.M., Park J., Vujkovic M., Zandvakili I., Ko Y.A., Trautwein C., Center R., Carr R.M., et al. A genome-first approach to mortality and metabolic phenotypes in MTARC1 p.Ala165Thr (rs2642438) heterozygotes and homozygotes. Med (New York N.Y.) 2021;2:851–863.e853. doi: 10.1016/j.medj.2021.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235.Lewis C.M., Vassos E. Polygenic risk scores: From research tools to clinical instruments. Genome Med. 2020;12:44. doi: 10.1186/s13073-020-00742-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Khera A.V., Chaffin M. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat. Genet. 2018;50:1219–1224. doi: 10.1038/s41588-018-0183-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Trépo E., Valenti L. Update on NAFLD genetics: From new variants to the clinic. J. Hepatol. 2020;72:1196–1209. doi: 10.1016/j.jhep.2020.02.020. [DOI] [PubMed] [Google Scholar]
  • 238.Di Costanzo A., Pacifico L., Chiesa C., Perla F.M., Ceci F., Angeloni A., D’Erasmo L., Di Martino M., Arca M. Genetic and metabolic predictors of hepatic fat content in a cohort of Italian children with obesity. Pediatric Res. 2019;85:671–677. doi: 10.1038/s41390-019-0303-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Suomela E., Oikonen M., Pitkänen N., Ahola-Olli A., Virtanen J., Parkkola R., Jokinen E., Laitinen T., Hutri-Kähönen N., Kähönen M., et al. Childhood predictors of adult fatty liver. The Cardiovascular Risk in Young Finns Study. J. Hepatol. 2016;65:784–790. doi: 10.1016/j.jhep.2016.05.020. [DOI] [PubMed] [Google Scholar]
  • 240.Koo B.K., Joo S.K., Kim D., Lee S., Bae J.M., Park J.H., Kim J.H., Chang M.S., Kim W. Development and Validation of a Scoring System, Based on Genetic and Clinical Factors, to Determine Risk of Steatohepatitis in Asian Patients with Nonalcoholic Fatty Liver Disease. Clin. Gastroenterol. Hepatol. Off. Clin. Pract. J. Am. Gastroenterol. Assoc. 2020;18:2592–2599.e2510. doi: 10.1016/j.cgh.2020.02.011. [DOI] [PubMed] [Google Scholar]
  • 241.Larrieta-Carrasco E., Flores Y.N., Macías-Kauffer L.R., Ramírez-Palacios P., Quiterio M., Ramírez-Salazar E.G., León-Mimila P., Rivera-Paredez B., Cabrera-Álvarez G., Canizales-Quinteros S., et al. Genetic variants in COL13A1, ADIPOQ and SAMM50, in addition to the PNPLA3 gene, confer susceptibility to elevated transaminase levels in an admixed Mexican population. Exp. Mol. Pathol. 2018;104:50–58. doi: 10.1016/j.yexmp.2018.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Wang X., Liu Z., Wang K., Wang Z., Sun X., Zhong L., Deng G., Song G., Sun B., Peng Z., et al. Additive Effects of the Risk Alleles of PNPLA3 and TM6SF2 on Non-alcoholic Fatty Liver Disease (NAFLD) in a Chinese Population. Front. Genet. 2016;7:140. doi: 10.3389/fgene.2016.00140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 243.Xu M., Li Y., Zhang S., Wang X., Shen J., Zhang S. Interaction of TM6SF2 E167K and PNPLA3 I148M variants in NAFLD in northeast China. Ann. Hepatol. 2019;18:456–460. doi: 10.1016/j.aohep.2018.10.005. [DOI] [PubMed] [Google Scholar]
  • 244.Chen L., Du S., Lu L., Lin Z., Jin W., Hu D., Jiang X., Xin Y., Xuan S. The additive effects of the TM6SF2 E167K and PNPLA3 I148M polymorphisms on lipid metabolism. Oncotarget. 2017;8:74209–74216. doi: 10.18632/oncotarget.18474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245.Gellert-Kristensen H., Richardson T.G., Davey Smith G., Nordestgaard B.G., Tybjaerg-Hansen A., Stender S. Combined Effect of PNPLA3, TM6SF2, and HSD17B13 Variants on Risk of Cirrhosis and Hepatocellular Carcinoma in the General Population. Hepatology. 2020;72:845–856. doi: 10.1002/hep.31238. [DOI] [PubMed] [Google Scholar]
  • 246.Bianco C., Jamialahmadi O., Pelusi S., Baselli G., Dongiovanni P., Zanoni I., Santoro L., Maier S., Liguori A., Meroni M., et al. Non-invasive stratification of hepatocellular carcinoma risk in non-alcoholic fatty liver using polygenic risk scores. J. Hepatol. 2021;74:775–782. doi: 10.1016/j.jhep.2020.11.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Kim U., Kim N., Shin H.Y. Modeling Non-Alcoholic Fatty Liver Disease (NAFLD) Using “Good-Fit” Genome-Editing Tools. Cells. 2020;9:2572. doi: 10.3390/cells9122572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248.Longo M., Meroni M., Paolini E., Macchi C., Dongiovanni P. Mitochondrial dynamics and nonalcoholic fatty liver disease (NAFLD): New perspectives for a fairy-tale ending? Metab. Clin. Exp. 2021;117:154708. doi: 10.1016/j.metabol.2021.154708. [DOI] [PubMed] [Google Scholar]
  • 249.Longo M., Meroni M., Erconi V., Carli F., Macchi C., Fortunato F., Ronchi D., Sabatini S., Paolini E., De Caro E.R., et al. TM6SF2/PNPLA3/MBOAT7 loss-of-function genetic variants impact on NAFLD development and progression both in patients and in in vitro models. bioRxiv. 2020 doi: 10.1016/j.dld.2019.12.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250.Tilson S.G., Morell C.M., Lenaerts A.S., Park S.B., Hu Z., Jenkins B., Koulman A. Modelling PNPLA3-Associated Non-Alcoholic Fatty Liver Disease Using Human Induced Pluripotent Stem Cells. Hepatology. 2021 doi: 10.1002/hep.32063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Graffmann N., Ncube A., Martins S., Fiszl A.R. A stem cell based in vitro model of NAFLD enables the analysis of patient specific individual metabolic adaptations in response to a high fat diet and AdipoRon interference. Biol. Open. 2021;10:bio054189. doi: 10.1242/bio.054189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252.Sinton M.C., Meseguer-Ripolles J., Lucendo-Villarin B., Wernig-Zorc S., Thomson J.P., Carter R.N., Lyall M.J., Walker P.D., Thakker A., Meehan R.R., et al. A human pluripotent stem cell model for the analysis of metabolic dysfunction in hepatic steatosis. iScience. 2021;24:101931. doi: 10.1016/j.isci.2020.101931. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Lyall M.J., Cartier J., Thomson J.P., Cameron K., Meseguer-Ripolles J., O’Duibhir E., Szkolnicka D., Villarin B.L., Wang Y., Blanco G.R., et al. Modelling non-alcoholic fatty liver disease in human hepatocyte-like cells. Philos. Trans. R. Soc. B Biol. Sci. 2018;373 doi: 10.1098/rstb.2017.0362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Dessein A. Clinical utility of polygenic risk scores for predicting NAFLD disorders. J. Hepatol. 2021;74:769–770. doi: 10.1016/j.jhep.2021.02.005. [DOI] [PubMed] [Google Scholar]

Articles from Biomedicines are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES