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. 2024 Dec 14;59:10–17. doi: 10.1016/j.athplu.2024.12.003

Impact of NAFLD-related SNPs on the carotid atherosclerosis development; a five-year prospective observational study

Hiroaki Ikezaki a,b,c,, Ryoko Nakashima a, Yuji Matsumoto a, Azusa Ohta a, Sho Yamasaki a, Satoshi Hiramine a, Koji Takayama a, Eiichi Ogawa a, Masayuki Murata a, Norihiro Furusyo a, Jun Hayashi a,b, Nobuyuki Shimono a, Ernst J Schaefer c
PMCID: PMC11719292  PMID: 39802653

Abstract

Background and aims

The prevalence of metabolic dysfunction associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD), has become a significant public health concern with an increased atherosclerotic cardiovascular disease risk. This study investigates the impact of NAFLD-related single nucleotide polymorphisms (SNPs) on carotid atherosclerosis development in a Japanese population without diabetes, dyslipidemia, and hypertension.

Methods

The prospective observational study, part of the Kyushu and Okinawa Population Study (KOPS), included 945 participants (median age 55 [47, 63]) without carotid atherosclerosis, increased alcohol intake, diabetes, dyslipidemia, hypertension, or chronic hepatitis at baseline. NAFLD-related SNPs (GCKR, NCAN, and PNPLA3) were genotyped, and carotid intima-media thickness (cIMT) was measured using ultrasonography. Univariate and multivariate regression analyses were performed to assess the association of NAFLD-related SNPs on newly developed carotid atherosclerosis over five years.

Results

After five years, 125 (13.2 %) participants developed carotid atherosclerosis. The NCAN (rs2228603) T allele was associated with a lower incidence rate of carotid atherosclerosis (4.7 % in NCAN CT/TT genotype vs. 13.9 % in CC genotype; p = 0.04), and NCAN T allele carriers exhibited a favorable lipid profile. These associations were not altered by either recruiting area or obese. The GCKR T allele and PNPLA3 C allele were associated with low carotid atherosclerosis development rates but were not significant.

Conclusions

Our results suggested that some NAFLD-related SNPs may influence atherosclerosis through lipid metabolism among Japanese individuals without metabolic syndrome.

Keywords: NAFLD, SNP, NCAN, Atherosclerosis, Carotid intima-media thickness

Highlights

  • Association between atherosclerosis and nonalcoholic fatty liver disease (NAFLD) related SNPs is limited.

  • We evaluated the impact of NAFLD related SNPs on carotid atherosclerosis incident over five years in a general population.

  • The carotid atherosclerosis development rate was lower in NCAN (rs2228603) minor allele carriers.

  • NCAN minor allele carriers also exhibited a favorable lipid profile especially in remnant-like particle cholesterol.

Non-standard abbreviations and acronyms

ASCVD

atherosclerotic cardiovascular disease

BMI

body mass index

cIMT

carotid intima-media thickness

FPG

fasting plasma glucose

GCKR

glucokinase regulator

GWAS

genome-wide association study

HbA1c

hemoglobin A1c

HDL

high-density lipoprotein

hs-CRP

high-sensitivity C-reactive protein

KOPS

Kyushu and Okinawa Population Study

LDL

low-density lipoprotein

MASLD

metabolic dysfunction associated steatotic liver disease

MASH

metabolic dysfunction associated steatohepatitis

NAFLD

nonalcoholic fatty liver disease

NASH

non-alcoholic steatohepatitis

NCAN

neurocan

PNPLA3

patatin-like phospholipase domain-containing protein 3

RLP

remnant-like particle

SNP

single nucleotide polymorphism

TG

triglycerides

TM6SF2

trans-membrane 6 superfamily member 2

VLDL

very low-density lipoprotein

1. Introduction

The number of metabolic dysfunction associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD), patients have been increasing rapidly, and MASLD has become the most common chronic liver disease and a significant global health concern [1]. MASLD can progress to metabolic dysfunction associated steatohepatitis (MASH), cirrhosis, and hepatocellular carcinoma [2]. Moreover, MASLD is also known to be a risk factor for atherosclerotic cardiovascular disease (ASCVD), which includes cardiovascular disease and stroke [3,4]. ASCVD remains the leading cause of mortality worldwide, claiming over 15 million lives annually and accounting for 85 % of deaths related to cardiovascular dysfunction [5]. The pathogenes of MASLD are fat accumulation, chronic inflammation, oxidative stress, and fibrosis progression in the liver, similar to that of atherosclerotic changes in vascular walls. Thus, there would be common genetic prepositions for the pathogenesis between MASLD and ASCVD.

Several studies have reported on the relationship between NAFLD-related SNPs and atherosclerosis. PNPLA3, a representative genetic variant for NAFLD, has been shown to influence the severity of carotid atherosclerosis in patients with NAFLD [6]. GCKR has been reported to affect lipid metabolism in NAFLD patients [7]. Similarly, genetic polymorphisms in NCAN and TM6SF2 have also been reported to influence lipid metabolism in patients with NAFLD [8,9]. Moreover, many genetic risk loci have also been identified for NAFLD, some related to lipid metabolism, which would be a significant risk factor for ASCVD [[10], [11], [12], [13]]. However, few reports have examined the direct impact of NAFLD-related single nucleotide polymorphism (SNP) on atherosclerosis development independent of NAFLD or MASLD.

In this pilot study, we selected four NAFLD-related SNPs and assessed their impact on the development of carotid atherosclerosis, which is defined as the combination of either a newly mean carotid intima-media thickness (cIMT) exceeding 1.1 mm or the formation of new plaques, a focal thickening over 1.1 mm, among the community-dwelling Japanese population without increased alcohol intake, diabetes, dyslipidemia, hypertension, or chronic hepatitis.

2. Patients and methods

2.1. Study population and design

This prospective observational study was part of the Kyushu and Okinawa Population Study (KOPS), a prospective community-based study investigating the epidemiology of lifestyle-related diseases and cancer in Japan since 2004 [14]. KOPS consists of two populations: wave 1 and wave 2. Wave 1 includes 10,697 participants who visited free public examinations between 2004 and 2007, and wave 2 includes 6380 participants between 2009 and 2012. KOPS has a total of 17,077 participants, 3006 of whom visited both wave 1 and 2 [14]. All participants were aged ≥20 at the examination, and the population was almost entirely Japanese.

In the present study, the 945 analyzed participants were selected by the following criteria: 1) underwent carotid ultrasonography at wave 1 and 2 surveys, 2) without increased alcohol intake (average daily alcohol intake 30g or more for males and 20g and more for females), hepatic dysfunction, hypertension, diabetes, and dyslipidemia at wave 1, 3) without chronic hepatitis including viral hepatitis, and 4) without adrenocorticosteroid therapy. All participants provided blood samples after an overnight fast and underwent physical examinations, including measurements of blood pressure, height, and weight, as part of their participation in this study. All participants also provided their medical history, use of all medications, and lifestyle habits.

Each participant provided informed consent prior to enrolment. All studies were conducted in accordance with the principles of the Declaration of Helsinki, as revised in 2008 and approved by the Kyushu University Hospital Ethics Committee before data collection (approval number: 590-04).

2.2. SNP genotyping

Genomic DNA was isolated from peripheral blood leukocytes. The four NAFLD-related SNPs were genotyped with TaqMan PCR using an ABI TaqMan allelic discrimination kit (QuantStudio 5 Real‐Time PCR Systems; Applied Biosystems). We analyzed the following four NAFLD-related SNPs, which have been reported to have a minor allele frequency above a certain level in the Japanese population: rs1260326 (C/T) on chromosome 2 in glucokinase regulator (GCKR), rs2228603 (C/T) on chromosome 19 in neurocan (NCAN), rs58542926 (C/T) on chromosome 19 in trans-membrane 6 superfamily member 2 (TM6SF2), and rs738409 (G/C) on chromosome 22 in patatin-like phospholipase domain-containing protein 3 (PNPLA3). All four SNPs passed genotyping quality control. The genotype call rate was 97.5 %.

2.3. Laboratory measurements

All blood samples were collected at least 8 h after overnight fasting. Aliquots of whole blood and fresh serum and plasma samples from each participant were immediately separated. Plasma fasting plasma glucose (FPG), high-density lipoprotein (HDL) cholesterol, and triglyceride (TG) levels were measured using standard enzymatic methods; in addition, direct LDL cholesterol, small dense LDL cholesterol, LDL-TG, remnant-like particle (RLP) cholesterol, and lipoprotein(a) were measured on an Olympus AU400 automated chemistry analyzer using assay kits obtained from Denka Corporation (Niigata, Japan), as previously described [[14], [15], [16]]. Hemoglobin A1c (HbA1c) levels were measured in fresh whole blood samples using a coherent immune method (RAPIDIA Auto HbA1c, Fujirebio) and were expressed as US National Glycohemoglobin Standardization Program levels (%). Serum C-reactive protein (CRP) levels were measured using nephelometry (N Latex CRP II; Siemens Healthcare Diagnostics Inc., Tokyo, Japan). The coefficient of variation for all assays was <5 %.

2.4. Assessment of carotid intima-media thickness

The cIMT levels were assessed using high-resolution B-mode ultrasonography with a 10-MHz linear array probe (UF-400AX®, Fukuda Denshi Co., Ltd, Tokyo, Japan. Well-trained staff doctors of our department performed all ultrasound examinations according to the Japanese Carotid Artery Ultrasound Guidelines [17]. Carotid ultrasonography was performed focusing on an area 20 mm proximal to the bulb of far walls of the bilateral common carotid arteries, and obtained images were analyzed offline using automated digital edge-detection IMT measurement software (Intima-Scope; MEDIA CROSS Co., Ltd., Tokyo, Japan) as previously described [18,19]. Analysis of cIMT levels using Intima-Scope was performed by a well-trained technician who was blinded to the clinical information. Carotid atherosclerosis was defined as 1) carotid thickening as a mean cIMT ≥1.1 mm or 2) the presence of a plaque, a focal thickening >1.1 mm at the level of common carotid arteries or bulbs. These criteria in Japan have been proposed by the Joint Committee of the Japan Academy of Neurosonology and the Japan Society of Embolus Detection and Treatment on Guideline for Nuerosonology [17].

2.5. Statistical analysis

A total of 945 participants were analyzed in this study. Data of continuous variables are expressed as median values with the 25th and 75th percentile values. Categorical variables are reported as frequencies and percentages. Univariate analyses were conducted using the Mann-Whitney U and Kruskal-Wallis tests for continuous variables or the chi-square test for categorical variables. Multivariate regression analysis was performed to compare the body mass index, systolic blood pressure, and lipoproteins between the two groups. Analysis of variance was performed to compare those continuous variables across three groups. Univariate and multivariate logistic regression analyses were conducted to estimate the influence of NAFLD-related SNPs on the development of carotid atherosclerosis. In these analyses, we calculated the number of alleles present in each genotype. In multivariate analyses, we added the participants' residential areas (Ishigaki, Iki, Hoshino, and Kasuya) as a confounding factor. In addition, we conducted interaction analyses to assess the robustness of our findings. We assessed the interactions between the NAFLD-related genetic polymorphisms and the following three factors: 1) the participants’ residential areas, 2) obese, and 3) sex. Obese was defined as a BMI of 25 kg/m2 or higher. The p-values for trends in multivariate adjustment factors were calculated using the general linear regression model. All statistical analyses were performed using SAS (version 9.4; SAS Institute Inc., Cary, NC, USA). A p-value of <0.05 was considered statistically significant.

3. Results

3.1. Baseline characteristics

Fig. 1 shows the flowchart of subject selection for this study. This analysis included 945 individuals. Table 1 presents the characteristics of the 945 analyzed participants without carotid atherosclerosis at baseline. Among 945 participants, 125 (13.2 %) developed carotid atherosclerosis after five years. The 125 who developed carotid atherosclerosis had significantly older age, a higher proportion of males, and elevated systolic blood pressure. No significant differences were observed in BMI or smoking and alcohol consumption habits. Those 125 also had significantly lower HDL cholesterol and higher HbA1c levels. While not statistically significant, those 125 showed higher levels of triglycerides, LDL cholesterol, small dense LDL cholesterol, and lipoprotein(a).

Fig. 1.

Fig. 1

The study flowchart. In this study, we selected participants without a history of cardiovascular disease, increased alcohol intake, chronic liver disease, diabetes, dyslipidemia, or hypertension from a large-scale epidemiological study in Japan.

Table 1.

Characteristics of participants classified by the atherosclerosis development in the carotid artery over 5 years.

With atherosclerosis development (n = 125) Without atherosclerosis development (n = 820) P value
Demographic
Age – years 59 [51, 66] 53 [44.5, 60.5] <0.001
Sex – no. (women/men) 77 (61.6)/48 (38.4) 640 (78.1)/180 (21.9) <0.001
 Body mass index – kg/m2 23.0 [20.7, 25.0] 22.3 [20.4, 24.6] 0.13
 Obese – no. (yes/no) 31 (24.8)/94 (75.2) 170 (21.0)/640 (79.0) 0.33
Smoking habit – no. (current/past/never) 19 (16.5)/13 (11.3)/83 (72.2) 89 (11.4)/103 (13.2)/590 (75.5) 0.22
Alcohol drinking habit – no. (yes/no) 42 (36.5)/73 (63.5) 300 (38.4)/481 (61.6) 0.68
Systolic blood pressure – mmHg 120 [112, 130] 114 [106, 124] <0.001
NAFLD risk SNP alleles
GCKR – C/T 130 (52.0)/120 (48.0) 767 (47.5)/873 (52.5) 0.14
NCAN – C/T 247 (98.8)/3 (1.2) 1578 (96.3)/62 (3.8) 0.04
TM6SF2 – C/T 228 (91.2)/22 (8.8) 1520 (92.7)/120 (7.3) 0.44
 PNPLA3 – C/G 134 (53.6)/116 (46.4) 921 (56.2)/719 (43.8) 0.45
Laboratory data
HDL cholesterol – mg/dl 63 [54, 73] 66 [57, 76] 0.01
 Triglycerides – mg/dl 84 [65, 107] 79 [60.5, 106] 0.36
 LDL cholesterol – mg/dl 87 [72, 104] 82 [68, 100] 0.14
 Small dense LDL cholesterol – mg/dl 19.0 [13.8, 25.7] 17.1 [12.8, 23.2] 0.08
 LDL-triglyceride – mg/dl 6.4 [4.5, 9.4] 6.4 [4.3, 9.4] 0.64
 RLP cholesterol – mg/dl 9.05 [4.5, 15.3] 10.1 [6.5, 17.45] 0.06
 Lipoprotein (a) – mg/dl 8.0 [4.4, 14.5] 6.9 [4.0, 12.8] 0.14
 Fasting plasma glucose – mg/dl 92 [86, 99] 91 [86, 97] 0.46
 Hemoglobin A1c – % 5.4 [5.2, 5.7] 5.3 [5.1, 5.5] <0.001
C reactive protein – mg/dl 0.0315 [0.014, 0.0735] 0.029 [0.012, 0.062] 0.41

Data are shown as median [1st quartile, 3rd quartile] or number (%).

GCKR, glucokinase regulatory protein; NAFLD, nonalcoholic fatty liver disease; NCAN, nurocan; TM6SF2, transmembrane 6 superfamily member 2; PNPLA3, patatin-like phospholipase domain containing 3 protein; HDL, high-density lipoprotein; LDL, low-density lipoprotein; RLP, remnant-like particle.

The genetic frequencies of the polymorphisms tested in this study are reported in Table 1. Regarding NAFLD-related SNPs, the 125 participants who developed carotid atherosclerosis had a significantly higher prevalence of C allele carriers in NCAN. Of the four polymorphisms, GCKR, NCAN, and PNPLA3 fit with the Hardy-Weinberg equilibrium (χ2 = 0.08 and p = 0.78 for GCKR rs1260326; χ2 = 0.01 and p = 0.91 for NCAN rs2228603; χ2 = 0.04 and p = 0.85 for PNPLA3 rs738409, respectively). TM6SF2 rs58542926 did not fit the Hardy-Weinberg equilibrium (χ2 = 4.77 and p = 0.03). Thus, we excluded TM6SF2 from the further analyses.

3.2. Association between carotid atherosclerosis development over 5 years and NAFLD-related SNPs

Fig. 2 illustrates the five-year development rates of carotid atherosclerosis according to the genotype of NAFLD-related SNPs. The overall five-year development rate of carotid atherosclerosis in the analyzed population was 13.2 %. Due to limited sample sizes in NCAN genotype TT, genotype CT and TT were combined for this analysis. Regarding NCAN, the development rate was significantly lower at 4.7 % for genotype CT or TT compared to 13.9 % for genotype CC. For GCKR, the TT genotype had the lowest development rate at 11.0 %, while the CC genotype had the highest rate at 15.8 %. For PNPLA3, the CC genotype had the lowest development rate at 12.3 %, while the CC genotype had the highest rate at 14.8 %.

Fig. 2.

Fig. 2

Development rates of newly carotid atherosclerosis according to NAFLD-related SNP genotypes.

Newly carotid atherosclerosis development rates are shown according to NAFLD-related SNP genotypes. The development of new carotid atherosclerosis was defined as the mean carotid intima-media thickness (cIMT) level less than 1.1 mm without plaque, a focal thickening over 1.1 mm, at wave 1 (baseline) and the cIMT level ≥1.1 mm or plaques observed at wave 2 (five-year later).

cIMT, carotid intima-media thickness; GCKR, glucokinase regulator; NAFLD, nonalcoholic fatty liver disease; NCAN, neurocan; PNPLA3, Patatin-like phospholipase domain-containing protein 3; SNP, single nucleotide polymorphism.

Fig. 3 depicts the impact of each NAFLD-related SNPs on the development of carotid atherosclerosis. Univariate regression analysis showed that the odds ratio of the T allele of NCAN was 0.309 against the C allele, suggesting that the T allele of NCAN is protective for the development of carotid atherosclerosis (Fig. 3a). Multivariate regression analysis, adjusting for the participants’ residential area, also indicated the protective nature of the T allele of NCAN for the development of carotid atherosclerosis, with a multivariate-adjusted odds ratio of 0.293 (Fig. 3b). However, the p-values for these two regression analyses were 0.04, which did not meet the significance level after the Bonferroni correction (p < 0.017). Variants of GCKR and PNPLA3 did not exhibit significant trends in the univariate or multivariate analysis.

Fig. 3.

Fig. 3

Univariate and multivariate analyses of NAFLD-related genetic polymorphisms for newly carotid atherosclerosis development.

The results of univariate (Fig. 3a) and multivariate (Fig. 3b) logistic regression analyses for carotid atherosclerosis development and MASLD-related SNP alleles are shown. In multivariate analysis, participants' residential area was included.

CI, confidential interval; GCKR, glucokinase regulator; NAFLD, nonalcoholic fatty liver disease; NCAN, neurocan; OR, odds ratio; PNPLA3, Patatin-like phospholipase domain-containing protein 3; SNP, single nucleotide polymorphis.

3.3. Association between risk factors for atherosclerosis and NAFLD-related SNPs

We examined the association between polymorphisms of NAFLD-related SNPs and risk factors for atherosclerosis. Regarding NCAN SNPs, the genotype CT/TT group exhibited significantly lower RLP cholesterol than the genotype CC group. In addition, the genotype CT/TT group showed higher HDL cholesterol and lower triglycerides, small dense LDL cholesterol, LDL-TG, systolic blood pressure, and BMI than the genotype CC group (Table 2). For GCKR, the genotype TT group showed significantly higher LDL-TG and lower FPG than the CC and CT groups (Table 3). In PNPLA3, the genotype GG group had higher RLP cholesterol than the CG and CC groups, but not significant (Table 4). These associations did not alter when adjusted with the participants’ residential area.

Table 2.

Characteristics of participants classified by the NCAN genotype.

NCAN CC (n = 881) NCAN non-CC (n = 64) P value
Demographic
 Carotid artery atherosclerosis development – no. (%) 122 (13.9) 3 (4.7) 0.04
Age – years 54 [45, 61] 51 [45, 58.5] 0.13
Sex – no. (women/men) 669 (75.9)/212 (24.1) 48 (75.0)/16 (25.0) 0.87
 Body mass index – kg/m2 22.5 [20.5, 24.6] 21.5 [20.1, 24.4] 0.22
 Obese – no. (yes/no) 191 (21.9)/682 (78.1) 10 (16.1)/52 (83.9) 0.29
Smoking habit – no. (current/past/never) 101 (12.1)/104 (12.5)/629 (75.4) 7 (11.1)/12 (19.1)/44 (69.8) 0.61
Alcohol drinking habit – no. (yes/no) 318 (38.2)/515 (61.8) 24 (38.1)/39 (61.9) 0.68
Systolic blood pressure – mmHg 116 [106, 126] 112 [107, 122] 0.36
Laboratory data
HDL cholesterol – mg/dl 65 [57, 76] 67.5 [59, 76] 0.47
 Triglycerides – mg/dl 79 [61, 106] 77.5 [59, 103] 0.38
 LDL cholesterol – mg/dl 82 [69, 101] 83 [66, 98.5] 0.69
 Small dense LDL cholesterol – mg/dl 17.4 [13.1, 23.4] 16.55 [11.9, 22.8] 0.34
 LDL-triglyceride – mg/dl 6.4 [4.3, 9.4] 6.25 [4.9, 8.45] 0.89
 RLP cholesterol – mg/dl 10.2 [6.1, 17.5] 7.55 [5.0, 10.9] 0.02
 Lipoprotein (a) – mg/dl 7.1 [4.1, 13.1] 5.95 [4.1, 15.0] 0.99
 Fasting plasma glucose – mg/dl 91 [86, 97] 90.5 [85, 97] 0.75
 Hemoglobin A1c – % 5.3 [5.1, 5.5] 5.3 [5.1, 5.55] 0.59
C reactive protein – mg/dl 0.029 [0.013, 0.064] 0.023 [0.009, 0.053] 0.20

Data are shown as median [1st quartile, 3rd quartile] or number (%).

Obese was defined as body mass index ≥25 kg/m2.

Since only 2 participants had the NCAN TT genotype, the CT and TT genotypes were combined and categorized as the non-CC genotype.

NCAN, nurocan; HDL, high-density lipoprotein; LDL, low-density lipoprotein; RLP, remnant-like particle.

Table 3.

Characteristics of participants classified by the GCKR genotype.

GCKR CC (n = 215) GCKR CT (n = 467) GCKR TT (n = 263) P value
Demographic
Carotid artery atherosclerosis development – no. (%) 34 (15.8) 62 (13.3) 29 (11.0) 0.12
Age – years 55 [47, 62] 54 [45, 61] 54 [45, 61] 0.64
Sex – no. (women/men) 162 (75.4)/53 (24.6) 350 (75.0)/117 (25.0) 205 (78.0)/58 (22.0) 0.48
 Body mass index – kg/m2 22.7 [20.5, 24.8] 22.5 [20.4, 24.7] 22.2 [20.6, 24.2] 0.47
 Obese – no. (yes/no) 47 (22.1)/166 (77.9) 109 (23.4)/357 (76.6) 45 (17.6)/211 (82.4) 0.21
Smoking habit – no. (current/past/never) 27 (13.0)/22 (10.6)/159 (76.4) 56 (12.6)/66 (14.9)/321 (72.5) 25 (10.2)/28 (11.4)/193 (78.4) 0.41
Alcohol drinking habit – no. (yes/no) 74 (35.6)/134 (64.4) 164 (37.1)/278 (62.9) 104 (42.3)/142 (57.7) 0.10
Systolic blood pressure – mmHg 119 [107, 126] 116 [107, 124] 114 [106, 125] 0.55
Laboratory data
HDL cholesterol – mg/dl 66 [56, 77] 66 [57, 76] 64 [58, 75] 0.97
 Triglycerides – mg/dl 74 [56, 102] 79.5 [63, 106] 81 [61, 111] 0.07
 LDL cholesterol – mg/dl 85 [70, 100] 81 [68, 101] 83.5 [69, 101] 0.81
 Small dense LDL cholesterol – mg/dl 17.5 [13.1, 22.7] 17.1 [13.1, 23.0] 17.95 [12.8, 24.8] 0.53
 LDL-triglyceride – mg/dl 5.8 [3.9, 8.7] 6.5 [4.2, 9.5] 6.6 [4.7, 9.8] 0.03
 RLP cholesterol – mg/dl 10.5 [6.0, 17.5] 9.8 [6.1, 17.0] 10.75 [5.95, 16.65] 0.79
 Lipoprotein (a) – mg/dl 7.0 [3.75, 12.9] 7.2 [3.9, 13.2] 7.0 [4.6, 13.3] 0.47
 Fasting plasma glucose – mg/dl 93 [88, 99] 91 [86, 97] 90 [84, 97] <0.01
 Hemoglobin A1c – % 5.4 [5.2, 5.6] 5.3 [5.1, 5.5] 5.3 [5.1, 5.5] 0.09
C reactive protein – mg/dl 0.029 [0.014, 0.064] 0.024 [0.011, 0.0615] 0.033 [0.014, 0.067] 0.18

Data are shown as median [1st quartile, 3rd quartile] or number (%).

Obese was defined as body mass index ≥25 kg/m2.

GCKR, glucokinase regulatory protein; HDL, high-density lipoprotein; LDL, low-density lipoprotein; RLP, remnant-like particle.

Table 4.

Characteristics of participants classified by the PNPLA3 genotype.

PNPLA3 CC (n = 293) PNPLA3 CG (n = 469) PNPLA3 GG (n = 183) P value
Demographic
Carotid artery atherosclerosis development – no. (%) 36 (12.3) 62 (13.2) 27 (14.8) 0.45
Age – years 54 [45, 61] 54 [46, 61] 54 [43, 62] 0.95
Sex – no. (women/men) 222 (75.8)/71 (24.2) 363 (77.4)/106 (22.6) 132 (72.1)/51 (27.9) 0.48
Body mass index – kg/m2 22.7 [20.6, 24.7] 22.1 [20.3, 24.6] 22.6 [20.6, 24.6] 0.43
Obese – no. (yes/no) 62 (21.4)/228 (78.6) 101 (21.8)/363 (78.2) 38 (21.0)/143 (79.0) 0.95
Smoking habit – no. (current/past/never) 37 (13.3)/38 (13.6)/204 (73.1) 52 (11.6)/56 (12.4)/342 (76.0) 19 (11.3)/22 (13.1)/127 (75.6) 0.45
Alcohol drinking habit – no. (yes/no) 109 (39.1)/170 (60.9) 158 (35.2)/291 (64.8) 75 (44.6)/93 (55.4) 0.42
Systolic blood pressure – mmHg 114 [106, 124] 116 [107, 125] 120 [107, 128] 0.30
Laboratory data
HDL cholesterol – mg/dl 66 [57, 76] 64.5 [57, 76] 66 [56, 75] 0.97
Triglycerides – mg/dl 80 [63, 110] 78.5 [59, 103] 79 [61, 110] 0.30
LDL cholesterol – mg/dl 82 [68, 103] 83 [67.5, 100] 82 [69, 100] 0.87
Small dense LDL cholesterol – mg/dl 17.35 [13.0, 24.3] 17.3 [12.7, 22.8] 17.65 [13.8, 23.9] 0.46
LDL-triglyceride – mg/dl 6.45 [4.6, 9.4] 6.3 [4.2, 9.1] 6.55 [4.1, 9.7] 0.59
RLP cholesterol – mg/dl 9.8 [5.7, 17.4] 9.6 [5.95, 16.3] 11.9 [7.6, 18.6] 0.054
Lipoprotein (a) – mg/dl 7.1 [4.3, 11.7] 6.95 [3.9, 13.5] 6.9 [4.4, 14.7] 0.92
Fasting plasma glucose – mg/dl 91 [86, 98] 91 [86, 97] 92 [87, 98] 0.06
Hemoglobin A1c – % 5.3 [5.1, 5.6] 5.3 [5.1, 5.5] 5.3 [5.2, 5.55] 0.58
C reactive protein – mg/dl 0.033 [0.014, 0.062] 0.029 [0.011, 0.064] 0.0275 [0.014, 0.0665] 0.42

Data are shown as median [1st quartile, 3rd quartile] or number (%).

Obese was defined as body mass index ≥25 kg/m2.

PNPLA3, patatin-like phospholipase domain containing 3 protein; HDL, high-density lipoprotein; LDL, low-density lipoprotein; RLP, remnant-like particle.

3.4. Interaction analyses

We conducted interaction analyses to assess whether the associations between NAFLD-related genes and newly developed carotid atherosclerosis were influenced by 1) participants' residential area, 2) obesity, and 3) sex. These three interaction analyses did not show any significance.

4. Discussion

In this study, we investigated the impact of NAFLD-related genetic polymorphisms on carotid atherosclerosis in 945 Japanese community-dwelling individuals without chronic liver diseases, excessive alcohol intake, diabetes, dyslipidemia, hypertension, or atherosclerosis in carotid arteries at baseline. After five years, 125 individuals (13.2 %) developed carotid atherosclerosis. Among the analyzed three NAFLD-related SNPs (GCKR, NCAN, and PNPLA3), the minor allele of NCAN demonstrated a protective effect against the development of carotid atherosclerosis.

NCAN is a gene variant reported in GWAS in neurologic diseases and is considered a risk factor for neuropsychiatric disorders [20,21]. Neurocan, encoded by the NCAN gene, is a chondroitin sulfate proteoglycan. Neurocan is expressed not only in neuronal tissue but also in the liver and may be involved in the transport processes of the liver. The NCAN genetic variant (rs2228603: C > T) leads to an amino acid exchange (proline to serine) at position 92 and alters protein structure and function. It has been reported that NCAN polymorphism influences the development of hepatocellular carcinoma in alcoholic liver disease [22] and the development of NAFLD [11,23]. Among the NAFLD patients undergoing bariatric surgery, individuals with the NCAN T allele showed a high prevalence of fibrosis and inflammation in their liver [23]. However, this study also reported that the NCAN T allele group had lower LDL cholesterol and triglycerides levels. This seemingly paradoxical phenomenon may occur due to either increased fatty acids uptake or decreased lipolysis; consequently, intrahepatic lipid accumulation is promoted, and lipid secretion from the liver decreases. Similar to this study of European descendants, studies with Asian populations reported that NCAN T allele carriers exhibited a favorable lipid profile [8,24]. In our study, targeting the non-metabolic syndrome Japanese population, NCAN T allele carriers showed a lower risk of progression of carotid atherosclerosis regardless of the participants’ residential area, obesity, and sex. In addition, NCAN T allele carriers exhibited a favorable lipid profile; RLP cholesterol levels were significantly lower. RLP cholesterol is a remnant particle derived from triglyceride-rich lipoproteins [25]. Elevated levels of RLP cholesterol have been associated with an increased risk of cardiovascular diseases, as these particles may contribute to atherosclerosis [26]. Similar to RLP cholesterol, apolipoproteins containing ApoB, such as LDL cholesterol and small dense LDL cholesterol, are substantial risk factors for cardiovascular disease and atherosclerosis. Although NAFLD-related SNPs have been reported to be associated with lipid metabolism, most studies have been conducted in patients with NAFLD [27,28]. The participants of this study did not have hypertension, diabetes, or dyslipidemia, allowing us to observe the effects of NAFLD-related SNPs on lipid metabolism directly. The NCAN minor allele carriers also exhibited lower levels of small dense LDL cholesterol and lipoprotein(a), suggesting that genetic polymorphisms of NCAN may influence lipid metabolism. Another hypothesis regarding the influence of NCAN genetic polymorphisms on lipid metabolism involves the interaction between the gut, liver, and brain, potentially modulating dietary fat intake. Further research is necessary to understand how NCAN genetic polymorphisms impact blood vessels and central control of lipid metabolism.

The glucokinase regulatory protein encoded by the GCKR gene acts as an inhibitor of glucokinase. Glucokinase is the principal hexokinase in the liver and participates in glucose metabolism and hepatic insulin sensitivity, playing a pivotal role in developing NAFLD. The GCKR genetic variant (rs1260326: C > T) is associated with lower FPG, elevated triglycerides, and increased risk of NAFLD, indicating its pleiotropic function [13,29]. In this study, the GCKR T allele carriers had elevated triglycerides and LDL-TG levels, in line with previous studies. However, there was no significant difference in the development rate of carotid atherosclerosis between GCKR alleles. Further large-scale studies are necessary to elucidate the impact of GCKR polymorphism on carotid atherosclerosis.

PNPLA3 is a representative genetic variant associated with NAFLD across multiple ethnicities [10,30] and was also reported to be associated with the development of hepatocellular carcinoma [31]. PNPLA3 is localized in the endoplasmic reticulum and lipid droplet membranes in human hepatocytes, and the variant is considered to induce lipid accumulation in the liver [32]. While MASLD and NAFLD are often associated with obesity, some studies with non-obese Asian populations demonstrated that carriers of the PNPLA3 GG genotype increased the risk of the development of fatty liver [33,34]. In addition, a study in Italian NAFLD patients illustrated that the PNPLA3 GG genotype is associated with a higher severity of carotid atherosclerosis, especially in younger patients [6]. Our study, which consisted of a Japanese population without diabetes, dyslipidemia, and hypertension, described that the PNPLA3 GG genotype carriers have higher RLP cholesterol levels and a higher prevalence of newly developed carotid atherosclerosis, in line with previous studies in NAFLD participants.

Several limitations need to be addressed in this study. First, we could not analyze behavioral changes, such as dietary habits, since we did not correct these data. Second, the number of subjects was relatively small because this study design was based on epidemiological data. Based on the data from previous studies among NAFLD patients, we conducted sample size analyses under the following assumption: an odds ratio of 1.2 for newly developed carotid atherosclerosis associated with NAFLD-related SNPs and a prevalence of carotid atherosclerosis of 15 % in the general population. When the risk allele frequency is 5 %, such as NCAN, the required sample size is approximately 5100 participants. If the risk allele frequency is 50 %, such as PNPLA3 and GCKR, the required sample size is 1200 participants. In addition, due to the small sample size, we could not examine the interactions or effect sizes of the three SNPs. Moreover, we included only Japanese participants. Larger-scale research, including a more diverse population across different ethnicities, will be necessary to validate the findings of this study. However, the strength of this study was that all participants were without any chronic hepatitis, excessive alcohol intake, diabetes, dyslipidemia, or hypertension.

5. Conclusions

In conclusion, our results suggest that NAFLD-related SNPs, especially rs2228603 NCAN, may influence newly developed carotid atherosclerosis among Japanese individuals without metabolic disorders. Our data also show that NAFLD-related SNPs may affect lipid metabolism.

Financial Support

This study was supported by Grants-in-Aid for Scientific Research for Priority Areas of Cancer (No. 17015018), Innovative Areas (No. 221S0001), and by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant (No. 20K17155, No. 16H06277 and 22H04923 [CoBiA]; No. 21H04824) from the Japanese Ministry of Education, Culture, Sports, Science, and Technology. H.I. was supported by the Japan Heart Foundation/Bayer Yakuhin Research Grant Abroad Program, Tokyo, Japan and the research grant of the Japanese Society of Hospital General Medicine, Fukuoka, Japan. These funding sources have no role in this study.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

The authors gratefully acknowledge the participants and the staff doctors who contributed to this study.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.athplu.2024.12.003.

Appendix A. Supplementary data

The following are the Supplementary data to this article.

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