Literature DB >> 27887608

Role of NCAN rs2228603 polymorphism in the incidence of nonalcoholic fatty liver disease: a case-control study.

Meng-Juan Wu1, Chen Yuan1, Lin-Lin Lu2,3, Bai-Quan An1, Shi-Ying Xuan4,5, Yong-Ning Xin6,7.   

Abstract

BACKGROUND: Recently genome-wide association studies identified that NCAN rs2228603 polymorphism was associated with non-alcoholic fatty liver disease (NAFLD) mainly in subjects of European ancestry. While no research have been conducted to demonstrate the relationship between NCAN rs2228603 and NAFLD in Chinese Han adults. The aim of this study was to investigate whether NCAN rs2228603 is associated with NAFLD in Chinese population.
METHODS: Gene NCAN rs2228603 was genotyped in 182 patients with NAFLD and 195 healthy controls. The expression of NCAN was tested according to polymerase chain reaction analysis (PCR) and serum lipids were performed by biology techniques.
RESULTS: No significant difference was found in genotype and allele frequencies of NCAN rs2228603 between the NAFLD group and the controls (P > 0.05). Subjects with the NCAN rs2228603 CT genotype showed a higher level of alkaline phosphatase (AKP) (P = 0.017) and a higher high-density lipoprotein (HDL) (P < 0.05).
CONCLUSIONS: Our study for the first time identified that the gene NCAN rs2228603 is not a risk factor for the incidence of NAFLD in Chinese population. Also we found the dual and opposite role of T variant in protecting liver with a higher level of HDL and conferring risk for liver damage with a higher level of AKP. TRIAL REGISTRATION: Chinese Clinical Trial Register.gov Identifier: ChiCTR-ROC-15006447 .

Entities:  

Keywords:  NCAN; Non-alcoholic fatty liver disease; Polymorphism; rs2228603

Mesh:

Substances:

Year:  2016        PMID: 27887608      PMCID: PMC5124242          DOI: 10.1186/s12944-016-0367-4

Source DB:  PubMed          Journal:  Lipids Health Dis        ISSN: 1476-511X            Impact factor:   3.876


Background

Non-alcoholic fatty liver disease (NAFLD), a hepatic manifestation of metabolic syndrome, is an emerging public health concern which is prevalent in individuals with metabolic derangements including obesity, insulin resistance, and diabetes mellitus [1, 2]. As a common chronic liver disease, its spectrum ranged from simple steatosis, non-alcoholic steatohepatitis (NASH), fibrosis/cirrhosis and hepatocellular carcinoma [3, 4]. NAFLD is predicted to be the main course for liver disease world-wide by 2020 [5]. Epidemiologic studies showed a prevalence of about 20~30% in Western countries [6, 7] and 12~15% in China depending on population and investigative methods [8], which was similar to some previous studies [9-11]. NAFLD prevalence was confirmed by variety of tools, which led to the difference. Moreover, In some areas of China where obesity is more common, which will continue to grow in a setting of increasing rates of NAFLD and other metabolic syndrome [12]. Recently, patients with NAFLD exhibited a high and rising mortality rate [13, 14]. The most frequent causes of death are represented by liver-related diseases, cardiovascular disease and malignantneoplasms [15]. It is considered that the main course of the death in patients with NAFLD is from coronary events [16-18]. Cardiovascular disease accounted for about 25% deaths in patients with NAFLD [19, 20]. The pathogenesis of NAFLD is still a complex disorder and multifaceted process which remains under investigation. Host genetics are considered as the significant factor for the formation and development of NAFLD [21]. Genome-wide association studies had assessed the correlation between NCAN and NAFLD among different ethnic groups [14, 22]. NCAN contains at least 20 genes in a 500 kb region on chromosome 19p13 and expresses neurocan, a chondroitin sulphate proteoglycan that thought to be involved in celladhesion and migration in the nervous system [23-26]. Interestingly, Nischalke’s study showed NCAN is not only expressed in neuronal tissue, but also in the liver [27-29]. Studies found that the SNP rs2228603 in the NCAN gene, resulting in an amino acid exchange (proline to serine) at position 92, was strongly related to the plasma low-density lipoprotein (LDL) and triglyceride (TG) levels [26]. N CAN is used to be recognized just that the central nervous system (CNS) is an important regulator of peripheral glucose and triglyceride metabolism. More studies have demonstrated that SNP rs2228603 was associated with hepatic steatosis [23, 30]. However, NCAN rs2228603 has been involved in a few studies on NAFLD among Asian. A recent study showed that SNP in NCAN was related to the higher level of ALT in Indian subjects [31]. However, Lin et al. studies showed NCAN was not a risk factor for NAFLD in obese Taiwanese children [32]. There is no research conducted between the polymorphism of NCAN and NAFLD in Chinese Han adults. The aim of this study was to investigate whether NCAN rs2228603 is associated with NAFLD in Chinese population.

Methods

Subjects

This study was performed in accordance with the principles of declaration of Helsinki and its appendices [33] and approved by the ethical committee of Qingdao municipal hospital (Qingdao, China). All patients had provided written informed consent before participation in the study. We selected a total of 377 unrelated adult subjects from August 2012 to August 2015, including 182 patients of different genders and different ages (85 males, 97 females,) diagnosed with NAFLD and 195 healthy controls matched for genders and ages (88 males, 107 females,) who underwent B-type ultrasonography. We collected subjects from the department of gastroenterology and the medical center of Qingdao municipal hospital. All individuals were unrelated and ethnically Han Chinese adults. The diagnosis of NAFLD was made by ultrasonic imaging according to EASL and AASLD criteria. Other causes of liver disease were excluded, including increased alcohol intake (>210/140 g/week for males/females), as confirmed by at least one family member or friend and carboxydesialylated transferrin determination, viral and autoimmune hepatitis, hereditary hemochromatosis, andalphal-antitrypsin deficiency [11]. The healthy controls were confirmed using general laboratory examinations and medical examinations at the same hospital.

Biochemical parameters

We collected venous blood samples after a 12-h overnight fast from all participants. The following data for each subject was obtained: height, body weight, waist circumference and hip circumference. Total cholesterol (TC), Triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) were measured by routine enzymatic methods. Serum concentrations of gamma-glutamyltranspeptidase (GGT), Total bilirubin (TBIL), alkaline phosphatase (AKP), glucose (GLU), Uric acid (UA), alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were tested with available standardized methods. Environmental factors were excluded in the study.

Genotyping

Genomic DNA was isolated from peripheral blood using purification kit (BioTeke, Biotechnology, Beijing, China) according to the manufacturer’s instructions. After extraction, the genomic DNA was stored at −20 °C before use. Genotyping for NCAN (rs2228603) was performed by polymerase chain reaction (PCR) using the following primers for NCAN polymorphism: 5′-TGGCATCGTGATGGACTCC-3′, 5′-AATGTCACGCACGATTTCCC-3′. PCR amplification was performed under the following conditions: 10 min at 95 °C, then 50 cycles before denaturation at 94 °C for 1 min, annealing at 60 °C for 1 min and elongation 1 min at 70 °C. Direct DNA sequencing, the ABI Prism sequence detection system ABI3730 (Foster city, CA, USA), was taken for the assay of NCAN genotypes. The average genotype call rate was >95% and the genotype concordance rate of blind replicates was >99%.

Statistical analysis

Statistical analysis was carried out using SPSS Statistics software version 17.0 (SPSS Inc. Chicago, IL, USA). Genotype and alleles were obtained using chi-square test and the χ2 test was applied to assess DNA distributions between NAFLD patients and the controls. The baseline characteristics of participants were presented as mean ± standard deviation. The differences in characteristics between different groups were tested by the Student’s t test, paired samples t test or χ2 test. Logistic regression analysis was performed to estimate the association of polymorphism with NAFLD. A P value < 0.05 was considered statistically significant.

Results

Clinical characteristics of the participants

We investigated 182 NAFLD patients and 195 controls matched for age (P = 0.000) and gender (P = 0.759). Table 1 showed the clinical characteristics and serum lipid levels of the subjects. Compared to the controls, NAFLD patients showed increased age, weight, Waist circumference, Hip circumference, serum ALT, AST, GGT, AKP, GLU, UA, TG, TC and LDL, however the level of HDL decreased. These results had significant differences.
Table 1

Demographics and clinical characteristics of Patients with NAFLD and Controlsa

CharacteristicsNAFLD patients (n = 182)Controls (n = 195) p Value
Age, y46.09 ± 11.5940.64 ± 11.530.000
Gender, Female/Male97/85107/880.759
Height, cm167.17 ± 10.55166.09 ± 6.460.237
Weight, kg74.28 ± 11.4463.38 ± 11.100.000
Waist circumference, cm92.29 ± 9.2982.46 ± 8.850.000
Hip circumference, cm103.11 ± 8.2196.87 ± 8.800.000
ALT, U/L25.63 ± 14.4119.71 ± 10.490.000
AST, U/L21.90 ± 11.2319.64 ± 6.460.018
GGT, U/L22.19 ± 9.6214.88 ± 5.690.000
TBIL, umol/L13.95 ± 6.4013.36 ± 5.300.329
AKP, U/L68.18 ± 18.3559.79 ± 13.810.000
GLU, mmol/L5.57 ± 1.794.96 ± 1.200.000
UA, umol/L364.42 ± 187.65301.10 ± 76.820.000
TG, mmol/L1.98 ± 1.781.27 ± 1.580.000
TC, mmol/L4.92 ± 0.954.64 ± 0.930.004
HDL, mmol/L1.29 ± 0.461.48 ± 0.330.000
LDL, mmol/L3.30 ± 0.932.94 ± 0.800.000

Abbreviation: ALT Alanine aminotransferase, AST Aspartate aminotransferase, GGT gamma-glutamyltranspeptidase, TBIL Total bilirubin, AKP alkaline phosphatase, GLU glucose, UA Uric acid, TG Triglyceride, TC Total cholesterol, HDL high-density lipoprotein, LDL low-density lipoprotein

aData are presented as Mean ± SD

Demographics and clinical characteristics of Patients with NAFLD and Controlsa Abbreviation: ALT Alanine aminotransferase, AST Aspartate aminotransferase, GGT gamma-glutamyltranspeptidase, TBIL Total bilirubin, AKP alkaline phosphatase, GLU glucose, UA Uric acid, TG Triglyceride, TC Total cholesterol, HDL high-density lipoprotein, LDL low-density lipoprotein aData are presented as Mean ± SD

NCAN rs2228603 genotypes and allele distribution

The genotypes distribution of the NCAN rs2228603 corresponded to the Hardy-Weinberg equilibriumin in NAFLD and control groups (PNAFLD =0.179; Pcontrol =0.101, respectively). To ensure the accuracy of genotyping, DNA sequencing was repeated in 150 subjects for reverse sequencing. Distribution of NCAN genotypes was shown in Table 2, which demonstrated that there were no significant differences between the patients with NAFLD and the healthy controls (P > 0.05). The gene NCAN rs2228603 was not a risk factor in the prevalence and pathogenesis of NAFLD (OR = 0.832, 95% CI: 0.499–1.386).
Table 2

Correlation of the polymorphism in gene NCAN with risk of NAFLDa

NCAN (Rs2228603)NAFLD patients (n)Controls (n) χ 2 P value
Genotypes0.5000.480
 CT3341
 CC149154
 TT00
Allele C0.4450.505
 T3341
 C331349

Abbreviation: NAFLD non-alcoholic fatty liver disease patients

a p: NAFLD patients vs. Control

Correlation of the polymorphism in gene NCAN with risk of NAFLDa Abbreviation: NAFLD non-alcoholic fatty liver disease patients a p: NAFLD patients vs. Control

Genetic association of NCAN rs2228603 with NAFLD

To evaluate whether the selected SNP influence the laboratory parameters, all variants in carriers and non-carriers were examined. As shown in Table 3, there was strongly difference in AKP (P = 0.017) between subjects with allele T and subjects without allele T in overall series. Meanwhile, a significant difference of HDL (P < 0.05) was observed in all subjects and healthy controls. However, other serological markers did not reach the statistical difference (P > 0.05).
Table 3

Analysis of clinical characteristics in NCAN (rs2228603 C/T) carriers and non-carriers of the study populationa

CharacteristicOverall seriesNAFLD patientsControls
CarriersNon-carriers P CarriersNon-carriers P CarriersNon-carriers P
Age, y44.74 ± 11.2042.91 ± 12.010.23448.58 ± 10.6945.54 ± 11.740.17441.66 ± 10.7440.36 ± 11.750.524
Female/male45/29200/1030.40114/1983/660.16631/10117/370.961
Height, cm167.35 ± 7.76166.43 ± 8.890.416168.45 ± 8.20166.89 ± 11.000.441166.46 ± 7.36166.00 ± 6.220.682
Weight, Kg68.41 ± 11.7768.70 ± 12.670.85771.39 ± 10.3474.91 ± 11.610.11066.00 ± 12.4162.69 ± 10.600.123
ALT, U/L22.43 ± 12.4122.60 ± 12.990.92024.55 ± 12.0925.87 ± 14.900.63320.73 ± 12.5519.44 ± 9.900.483
AST, U/L20.68 ± 8.0420.75 ± 9.400.95320.45 ± 5.8422.22 ± 12.090.41520.85 ± 9.5219.32 ± 5.360.177
GGT, U/L17.77 ± 7.63118.56 ± 8.8720.47920.67 ± 8.85522.52 ± 9.7760.31715.44 ± 5.57214.73 ± 5.7350.482
TBIL, umol/L13.43 ± 5.4113.70 ± 5.970.72512.28 ± 4.9414.32 ± 6.640.09714.36 ± 5.6413.09 ± 5.190.174
AKP, U/L65.18 ± 13.7564.73 ± 17.220.01769.94 ± 16.5169.34 ± 18.600.07067.95 ± 10.7560.28 ± 14.500.258
Glu. mmol/L5.04 ± 0.865.31 ± 1.660.1825.21 ± 1.095.66 ± 1.900.1944.91 ± 0.604.98 ± 1.320.756
UA, umol/L307.59 ± 81.35337.55 ± 156.110.111335.42 ± 98.44370.85 ± 201.840.328285.20 ± 56.33305.33 ± 81.030.136
TG, mmol/L1.46 ± 1.281.65 ± 1.810.3812.00 ± 1.671.98 ± 1.810.9641.03 ± 0.571.34 ± 1.750.263
TC, mmol/L4.80 ± 0.924.77 ± 0.960.8254.88 ± 0.834.93 ± 0.980.7994.73 ± 0.984.62 ± 0.920.493
HDL, mmol/L1.47 ± 0.251.37 ± 0.440.0091.31 ± 0.261.29 ± 0.500.8611.60 ± 0.141.44 ± 0.360.000
LDL, mmol/L3.04 ± 0.853.13 ± 0.890.4523.18 ± 0.683.33 ± 0.980.4032.94 ± 0.962.94 ± 0.760.985

Abbreviations: ALT Alanine aminotransferase, AST Aspartate aminotransferase, GGT gamma-glutamyltranspeptidase, TBIL Total bilirubin, AKP alkaline phosphatase, GLU glucose, UA Uric acid, TG Triglyceride, TC Total cholesterol, HDL high-density lipoprotein, LDL low-density lipoprotein

aData are presented as Mean ± SD

Analysis of clinical characteristics in NCAN (rs2228603 C/T) carriers and non-carriers of the study populationa Abbreviations: ALT Alanine aminotransferase, AST Aspartate aminotransferase, GGT gamma-glutamyltranspeptidase, TBIL Total bilirubin, AKP alkaline phosphatase, GLU glucose, UA Uric acid, TG Triglyceride, TC Total cholesterol, HDL high-density lipoprotein, LDL low-density lipoprotein aData are presented as Mean ± SD

Discussion

Recently the gene NCAN on NAFLD has been studied, however, the results were controversial [23, 34]. The present study firstly evaluated the association between rs2228603 polymorphism in the gene NCAN and NAFLD in Chinese population. Our study selected 182 NAFLD patients and 195 healthy controls to observe the correlation between NCAN rs2228603 and NAFLD. We found no carriers with TT genotype both in NAFLD and control group, also no significant association of NCAN rs2228603 with NAFLD was observed in our subjects, which latter was consistent with some previous findings [32, 34, 35]. While Speliotes et al. identified that variant in the gene NCAN was strongly associated with histologic NAFLD and increasing computed tomography (CT) hepatic steatosis [14]. Rs2228603 is located in exon 3 of NCAN and encodes anon-conservative nonsynonymous mutation (Pro92Ser), which is predicted by the software tool PolyPhen-2 to alter protein structure and function [36]. It is plausible that this variant increases the risk for NAFLD through influencing dietary fat intake by modulated by a brain-liver axis [26, 37]. We characterized the effect of allele T variant in our groups, which expand further evidence for central control of liver lipid metabolism. We found, for the first time, an obvious difference between variant carriers and non-carriers regarding AKP. The results showed that NCAN rs2228603 CT genotype had a higher level of AKP in overall subjects. AKP is a hydrolase enzyme that commonly used as signal amplification in bone metabolism. Matthew’s study showed that isolated elevated AKP and risk factors for NAFLD should be evaluated for evidence of significant steatohepatitis [38]. However, the mechanism of AKP in the pathogenesis of NAFLD remains unclear and warrants further exploration. The result may provide evidence that carriage of T allele can elevate AKP to strengthen liver damage. Meanwhile, we found a protected role of the variant in lipid metabolism, and observed that the T allele carriers had a higher serum HDL level than the T allele non-carriers, whereas no significant correlation was observed in LDL-cholesterol, total cholesterol and triglyceride levels with variant carriers. Gorden et al. study found T allele carriers showed a lower serum LDL-cholesterol, total cholesterol and triglyceride levels, particularly in those with NAFLD [23]. Approximately 20~80% NAFLD patients have dyslipidemia [39]. HDL is negatively related to the incidence of atherosclerosis and a decreased level of HDL might indicate the clinical damage to liver cells, while we could not deny the possible influence of the elevated HDL-cholesterol on the association between NCAN and NAFLD among different population. A recent study showed that NCAN is expressed at the luminal side of cholangiocytes and in vesicles of hepatocytes, which may imply that besides its role in the nervous system, NCAN may be involved in transport processes of the liver [27]. Elevated serum HDL-cholesterol has certain protective effect to the liver; however, the mechanism is still unclear and further studies are needed to validate this argument.

Conclusion

In conclusion, this study elucidated that there was no association between NCAN rs2228603 polymorphism and incidence of NAFLD in Chinese population for the first time. The NCAN rs2228603 T-allele significantly affects serum AKP and HDL. We can assume that NCAN rs2228603 is mainly involved in the progress of NASH by influence liver damage based on simple steatosis. The variant may be a protective factor in early stage. Further studies with large scale of subjects and different ethnicity are needed to estimate the impact of NCAN rs2228603 on NAFLD. Hopefully, additional research on the role of NCAN in NAFLD might help to elevate the application of future therapeutic strategies and interventions.
  39 in total

1.  Brain glucose metabolism controls the hepatic secretion of triglyceride-rich lipoproteins.

Authors:  Tony K T Lam; Roger Gutierrez-Juarez; Alessandro Pocai; Sanjay Bhanot; Patrick Tso; Gary J Schwartz; Luciano Rossetti
Journal:  Nat Med       Date:  2007-02-04       Impact factor: 53.440

2.  Genetic predisposition to hepatocellular carcinoma in alcoholic cirrhosis: the NCAN-PNPLA3-lipid connection?

Authors:  Jean-Charles Nault; Pierre Nahon
Journal:  J Hepatol       Date:  2014-08-08       Impact factor: 25.083

Review 3.  Nonalcoholic fatty liver disease and the coronary artery disease.

Authors:  Sombat Treeprasertsuk; Francisco Lopez-Jimenez; Keith D Lindor
Journal:  Dig Dis Sci       Date:  2010-05-13       Impact factor: 3.199

4.  A genetic risk score is associated with hepatic triglyceride content and non-alcoholic steatohepatitis in Mexicans with morbid obesity.

Authors:  Paola León-Mimila; Joel Vega-Badillo; Roxana Gutiérrez-Vidal; Hugo Villamil-Ramírez; Teresa Villareal-Molina; Elena Larrieta-Carrasco; Blanca E López-Contreras; Luis R Macías Kauffer; Diana G Maldonado-Pintado; Nahúm Méndez-Sánchez; Armando R Tovar; Rogelio Hernández-Pando; Rafael Velázquez-Cruz; Francisco Campos-Pérez; Carlos A Aguilar-Salinas; Samuel Canizales-Quinteros
Journal:  Exp Mol Pathol       Date:  2015-01-15       Impact factor: 3.362

Review 5.  Insulin resistance in development and progression of nonalcoholic fatty liver disease.

Authors:  Shahinul Alam; Golam Mustafa; Mahabubul Alam; Nooruddin Ahmad
Journal:  World J Gastrointest Pathophysiol       Date:  2016-05-15

6.  Relationship of epicardial fat thickness and nonalcoholic fatty liver disease to coronary artery calcification: From the CAESAR study.

Authors:  Byung Jin Kim; Eun Sun Cheong; Jung Gyu Kang; Bum Soo Kim; Jin Ho Kang
Journal:  J Clin Lipidol       Date:  2016-02-18       Impact factor: 4.766

7.  Pooled genetic analysis in ultrasound measured non-alcoholic fatty liver disease in Indian subjects: A pilot study.

Authors:  Vishnubhotla Venkata Ravi Kanth; Mitnala Sasikala; Padaki Nagaraja Rao; Urmila Steffie Avanthi; Kalashikam Rajender Rao; Duvvuru Nageshwar Reddy
Journal:  World J Hepatol       Date:  2014-06-27

8.  Effect of mexiletine on vincristine-induced painful neuropathy in mice.

Authors:  Junzo Kamei; Chihiro Nozaki; Akiyoshi Saitoh
Journal:  Eur J Pharmacol       Date:  2006-03-03       Impact factor: 4.432

9.  Genetic polymorphisms of the human PNPLA3 gene are strongly associated with severity of non-alcoholic fatty liver disease in Japanese.

Authors:  Takahisa Kawaguchi; Yoshio Sumida; Atsushi Umemura; Keitaro Matsuo; Meiko Takahashi; Toshinari Takamura; Kohichiroh Yasui; Toshiji Saibara; Etsuko Hashimoto; Miwa Kawanaka; Sumio Watanabe; Sumio Kawata; Yasuharu Imai; Miki Kokubo; Toshihide Shima; Hyohun Park; Hideo Tanaka; Kazuo Tajima; Ryo Yamada; Fumihiko Matsuda; Takeshi Okanoue
Journal:  PLoS One       Date:  2012-06-14       Impact factor: 3.240

10.  Newly identified loci that influence lipid concentrations and risk of coronary artery disease.

Authors:  Cristen J Willer; Serena Sanna; Anne U Jackson; Angelo Scuteri; Lori L Bonnycastle; Robert Clarke; Simon C Heath; Nicholas J Timpson; Samer S Najjar; Heather M Stringham; James Strait; William L Duren; Andrea Maschio; Fabio Busonero; Antonella Mulas; Giuseppe Albai; Amy J Swift; Mario A Morken; Narisu Narisu; Derrick Bennett; Sarah Parish; Haiqing Shen; Pilar Galan; Pierre Meneton; Serge Hercberg; Diana Zelenika; Wei-Min Chen; Yun Li; Laura J Scott; Paul A Scheet; Jouko Sundvall; Richard M Watanabe; Ramaiah Nagaraja; Shah Ebrahim; Debbie A Lawlor; Yoav Ben-Shlomo; George Davey-Smith; Alan R Shuldiner; Rory Collins; Richard N Bergman; Manuela Uda; Jaakko Tuomilehto; Antonio Cao; Francis S Collins; Edward Lakatta; G Mark Lathrop; Michael Boehnke; David Schlessinger; Karen L Mohlke; Gonçalo R Abecasis
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

View more
  1 in total

1.  Associations of Hydroxysteroid 17-beta Dehydrogenase 13 Variants with Liver Histology in Chinese Patients with Metabolic-associated Fatty Liver Disease.

Authors:  Wen-Yue Liu; Mohammed Eslam; Kenneth I Zheng; Hong-Lei Ma; Rafael S Rios; Min-Zhi Lv; Gang Li; Liang-Jie Tang; Pei-Wu Zhu; Xiao-Dong Wang; Christopher D Byrne; Giovanni Targher; Jacob George; Ming-Hua Zheng
Journal:  J Clin Transl Hepatol       Date:  2021-02-22
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.