For best viewing of the website please use Mozilla Firefox or Google Chrome.
Citation: Raouia ElFihry, Mohcine Elmessaoudi-Idrissi, Fatima-Zahra Jadid, Imane Zaidane, Hajar Chihab, Mohamed Tahiri, Mostafa Kabine, Wafaa Badre, Isabelle Chemin, Agnes Marchio, Pascal Pineau, Sayeh Ezzikouri, Soumaya Benjelloun. Effect of Peroxisome Proliferator-Activated Receptor-γ Coactivator-1 Alpha Variants on Spontaneous Clearance and Fibrosis Progression during Hepatitis C Virus Infection in Moroccan Patients [J].VIROLOGICA SINICA, 2020, 35(5) : 566-574.  http://dx.doi.org/10.1007/s12250-020-00220-7

Effect of Peroxisome Proliferator-Activated Receptor-γ Coactivator-1 Alpha Variants on Spontaneous Clearance and Fibrosis Progression during Hepatitis C Virus Infection in Moroccan Patients

  • Hepatitis C virus (HCV) is still one of the main causes of liver disease worldwide. Metabolic disorders, including non-alcoholic fatty liver disease (NAFLD), induced by HCV have been shown to accelerate the progression of fibrosis to cirrhosis and to increase the risk of hepatocellular carcinoma. An optimal peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PPARGC1A) activity is crucial to prevent NAFLD installation. The present study aims to investigate the associations between two common PPARGC1A polymorphisms (rs8192678 and rs12640088) and the outcomes of HCV infection in a North African context. A series of 592 consecutive Moroccan subjects, including 292 patients with chronic hepatitis C (CHC), 100 resolvers and 200 healthy controls were genotyped using a TaqMan allelic discrimination assay. PPARGC1A variations at rs8192678 and rs12640088 were not associated with spontaneous clearance of HCV infection (adjusted ORs = 0.76 and 0.79 respectively, P > 0.05, for both). Furthermore, multivariable logistic regression analysis showed that both SNPs were not associated with fibrosis progression (OR = 0.71; 95% CI 0.20–2.49; P = 0.739; OR = 1.28; 95% CI 0.25–6.54; P = 0.512, respectively). We conclude that, in the genetic context of South Mediterranean patients, rs8192678 and rs12640088 polymorphisms of PPARGC1A are neither associated with spontaneous clearance nor with disease progression in individuals infected with HCV.

  • 加载中
    1. Barroso I, Luan J, Sandhu MS, Franks PW, Crowley V, Schafer AJ, O'Rahilly S, Wareham NJ (2006) Meta-analysis of the Gly482Ser variant in PPARGC1A in type 2 diabetes and related phenotypes. Diabetologia 49:501-505
        doi: 10.1007/s00125-005-0130-2

    2. Burgueno AL, Cabrerizo R, Gonzales Mansilla N, Sookoian S, Pirola CJ (2013) Maternal high-fat intake during pregnancy programs metabolic-syndrome-related phenotypes through liver mitochondrial DNA copy number and transcriptional activity of liver ppargc1a. J Nutr Biochem 24:6-13
        doi: 10.1016/j.jnutbio.2011.12.008

    3. Chen Y, Mu P, He S, Tang X, Guo X, Li H, Xu H, Woo SL, Qian X, Zeng L, Wu C (2013) Gly482ser mutation impairs the effects of peroxisome proliferator-activated receptor gamma coactivator-1alpha on decreasing fat deposition and stimulating phosphoenolpyruvate carboxykinase expression in hepatocytes. Nutr Res 33:332-339
        doi: 10.1016/j.nutres.2013.02.003

    4. Cheng Y, Dharancy S, Malapel M, Desreumaux P (2005) Hepatitis C virus infection down-regulates the expression of peroxisome proliferator-activated receptor alpha and carnitine palmitoyl acyl-CoA transferase 1a. World J Gastroenterol 11:7591-7596
        doi: 10.3748/wjg.v11.i48.7591

    5. Cheng CF, Ku HC, Lin H (2018) PGC-1alpha as a pivotal factor in lipid and metabolic regulation. Int J Mol Sci 19:3447
        doi: 10.3390/ijms19113447

    6. Choi J, Ou JH (2006) Mechanisms of liver injury. Ⅲ. Oxidative stress in the pathogenesis of hepatitis c virus. Am J Physiol Gastrointest Liver Physiol 290:G847-G851
        doi: 10.1152/ajpgi.00522.2005

    7. Dharancy S, Malapel M, Perlemuter G, Roskams T, Cheng Y, Dubuquoy L, Podevin P, Conti F, Canva V, Philippe D, Gambiez L, Mathurin P, Paris JC, Schoonjans K, Calmus Y, Pol S, Auwerx J, Desreumaux P (2005) Impaired expression of the peroxisome proliferator-activated receptor alpha during hepatitis C virus infection. Gastroenterology 128:334-342
        doi: 10.1053/j.gastro.2004.11.016

    8. Ek J, Andersen G, Urhammer SA, Gaede PH, Drivsholm T, Borch-Johnsen K, Hansen T, Pedersen O (2001) Mutation analysis of peroxisome proliferator-activated receptor-gamma coactivator-1 (PGC-1) and relationships of identified amino acid polymorphisms to type ii diabetes mellitus. Diabetologia 44:2220-2226
        doi: 10.1007/s001250100032

    9. Estall JL, Kahn M, Cooper MP, Fisher FM, Wu MK, Laznik D, Qu L, Cohen DE, Shulman GI, Spiegelman BM (2009) Sensitivity of lipid metabolism and insulin signaling to genetic alterations in hepatic peroxisome proliferator-activated receptor-gamma coactivator-1alpha expression. Diabetes 58:1499-1508
        doi: 10.2337/db08-1571

    10. Ezzikouri S, Elfihry R, Chihab H, Elmessaoudi-Idrissi M, Zaidane I, Jadid FZ, Karami A, Tahiri M, Elhabazi A, Kabine M, Chair M, Pineau P, Benjelloun S (2018) Effect of MBOAT7 variant on hepatitis B and C infections in moroccan patients. Sci Rep 8:12247
        doi: 10.1038/s41598-018-30824-9

    11. Finck BN, Kelly DP (2006) PGC-1 coactivators: inducible regulators of energy metabolism in health and disease. J Clin Invest 116:615-622
        doi: 10.1172/JCI27794

    12. Houstis N, Rosen ED, Lander ES (2006) Reactive oxygen species have a causal role in multiple forms of insulin resistance. Nature 440:944-948
        doi: 10.1038/nature04634

    13. Hui JM, Sud A, Farrell GC, Bandara P, Byth K, Kench JG, McCaughan GW, George J (2003) Insulin resistance is associated with chronic hepatitis c virus infection and fibrosis progression[corrected]. Gastroenterology 125:1695-1704
        doi: 10.1053/j.gastro.2003.08.032

    14. Jacobson IM, Cacoub P, Dal Maso L, Harrison SA, Younossi ZM (2010) Manifestations of chronic hepatitis C virus infection beyond the liver. Clin Gastroenterol Hepatol 8:1017-1029
        doi: 10.1016/j.cgh.2010.08.026

    15. Knobler H, Schattner A (2005) TNF-α, chronic hepatitis c and diabetes: a novel triad. QJM 98:1-6

    16. Kunej T, Globocnik Petrovic M, Dovc P, Peterlin B, Petrovic D (2004) A Gly482Ser polymorphism of the peroxisome proliferator-activated receptor-gamma coactivator-1 (PGC-1) gene is associated with type 2 diabetes in caucasians. Folia Biol (Praha) 50:157-158

    17. Lauer GM, Walker BD (2001) Hepatitis C virus infection. N Engl J Med 345:41-52

    18. Lazo M, Nwankwo C, Daya NR, Thomas DL, Mehta SH, Juraschek S, Willis K, Selvin E (2017) Confluence of epidemics of hepatitis C, diabetes, obesity, and chronic kidney disease in the united states population. Clin Gastroenterol Hepatol 15(1957-1964):e1957

    19. Li X, Monks B, Ge Q, Birnbaum MJ (2007) Akt/PKB regulates hepatic metabolism by directly inhibiting PGC-1alpha transcription coactivator. Nature 447:1012-1016
        doi: 10.1038/nature05861

    20. Liu R, Zhang H, Zhang Y, Li S, Wang X, Wang X, Wang C, Liu B, Zen K, Zhang CY, Zhang C, Ba Y (2017) Peroxisome proliferator-activated receptor gamma coactivator-1 alpha acts as a tumor suppressor in hepatocellular carcinoma. Tumour Biol 39:1010428317695031

    21. Maeno T, Okumura A, Ishikawa T, Kato K, Sakakibara F, Sato K, Ayada M, Hotta N, Tagaya T, Fukuzawa Y, Kakumu S (2003) Mechanisms of increased insulin resistance in non-cirrhotic patients with chronic hepatitis C virus infection. J Gastroenterol Hepatol 18:1358-1363
        doi: 10.1046/j.1440-1746.2003.03179.x

    22. Mirzaei K, Hossein-nezhad A, Emamgholipour S, Ansar H, Khosrofar M, Tootee A, Alatab S (2012) An exonic peroxisome proliferator-activated receptor-gamma coactivator-1alpha variation may mediate the resting energy expenditure through a potential regulatory role on important gene expression in this pathway. J Nutrigenet Nutrigenomics 5:59-71
        doi: 10.1159/000337352

    23. Mosley JW, Operskalski EA, Tobler LH, Andrews WW, Phelps B, Dockter J, Giachetti C, Busch MP (2005) Viral and host factors in early hepatitis C virus infection. Hepatology 42:86-92

    24. Musaiger AO (2011) Overweight and obesity in eastern mediterranean region: prevalence and possible causes. J Obes 2011:407237

    25. Niederau C, Lange S, Heintges T, Erhardt A, Buschkamp M, Hurter D, Nawrocki M, Kruska L, Hensel F, Petry W, Haussinger D (1998) Prognosis of chronic hepatitis C: results of a large, prospective cohort study. Hepatology 28:1687-1695
        doi: 10.1002/hep.510280632

    26. Parvaiz F, Manzoor S, Iqbal J, McRae S, Javed F, Ahmed QL, Waris G (2014) Hepatitis C virus nonstructural protein 5a favors upregulation of gluconeogenic and lipogenic gene expression leading towards insulin resistance: a metabolic syndrome. Arch Virol 159:1017-1025
        doi: 10.1007/s00705-013-1892-3

    27. Qadri I, Choudhury M, Rahman SM, Knotts TA, Janssen RC, Schaack J, Iwahashi M, Puljak L, Simon FR, Kilic G, Fitz JG, Friedman JE (2012) Increased phosphoenolpyruvate carboxykinase gene expression and steatosis during hepatitis C virus subgenome replication: role of nonstructural component 5a and CCAAT/enhancer-binding protein beta. J Biol Chem 287:37340-37351
        doi: 10.1074/jbc.M112.384743

    28. Ramos-Lopez O, Riezu-Boj JI, Milagro FI, Goni L, Cuervo M, Martinez JA (2018) Association of the Gly482Ser PPARGC1A gene variant with different cholesterol outcomes in response to two energy-restricted diets in subjects with excessive weight. Nutrition 47:83-89
        doi: 10.1016/j.nut.2017.10.008

    29. Saremi L, Lotfipanah S, Mohammadi M, Hosseinzadeh H, Hosseini-Khah Z, Johari B, Saltanatpour Z (2019) Association between ppargc1a single nucleotide polymorphisms and increased risk of nonalcoholic fatty liver disease among iranian patients with type 2 diabetes mellitus. Turk J Med Sci 49:1089-1094
        doi: 10.3906/sag-1808-138

    30. Shlomai A, Rechtman MM, Burdelova EO, Zilberberg A, Hoffman S, Solar I, Fishman S, Halpern Z, Sklan EH (2012) The metabolic regulator PGC-1alpha links hepatitis C virus infection to hepatic insulin resistance. J Hepatol 57:867-873
        doi: 10.1016/j.jhep.2012.06.021

    31. Soyal S, Krempler F, Oberkofler H, Patsch W (2006) Pgc-1alpha: a potent transcriptional cofactor involved in the pathogenesis of type 2 diabetes. Diabetologia 49:1477-1488
        doi: 10.1007/s00125-006-0268-6

    32. Tai CM, Huang CK, Tu HP, Hwang JC, Yeh ML, Huang CF, Huang JF, Dai CY, Chuang WL, Yu ML (2016) Interactions of a PPARGC1A variant and a PNPLA3 variant affect nonalcoholic steatohepatitis in severely obese taiwanese patients. Medicine (Baltimore) 95:e3120
        doi: 10.1097/MD.0000000000003120

    33. Tanaka N, Moriya K, Kiyosawa K, Koike K, Gonzalez FJ, Aoyama T (2008) Pparalpha activation is essential for HCV core protein-induced hepatic steatosis and hepatocellular carcinoma in mice. J Clin Invest 118:683-694

    34. Tazi MA, Abir-Khalil S, Chaouki N, Cherqaoui S, Lahmouz F, Srairi JE, Mahjour J (2003) Prevalence of the main cardiovascular risk factors in Morocco: results of a national survey, 2000. J Hypertens 21:897-903
        doi: 10.1097/00004872-200305000-00013

    35. Thomas DL, Astemborski J, Rai RM, Anania FA, Schaeffer M, Galai N, Nolt K, Nelson KE, Strathdee SA, Johnson L, Laeyendecker O, Boitnott J, Wilson LE, Vlahov D (2000) The natural history of hepatitis C virus infection: host, viral, and environmental factors. JAMA 284:450-456

    36. Villegas R, Williams SM, Gao YT, Long J, Shi J, Cai H, Li H, Chen CC, Tai ES, Consortium A-TD, Hu F, Cai Q, Zheng W, Shu XO (2014) Genetic variation in the peroxisome proliferator-activated receptor (PPAR) and peroxisome proliferator-activated receptor gamma co-activator 1 (PGC1) gene families and type 2 diabetes. Ann Hum Genet 78:23-32
        doi: 10.1111/ahg.12044

    37. Vohl MC, Houde A, Lebel S, Hould FS, Marceau P (2005) Effects of the peroxisome proliferator-activated receptor-gamma co-activator-1 Gly482Ser variant on features of the metabolic syndrome. Mol Genet Metab 86:300-306
        doi: 10.1016/j.ymgme.2005.07.002

    38. White DL, Ratziu V, El-Serag HB (2008) Hepatitis C infection and risk of diabetes: a systematic review and meta-analysis. J Hepatol 49:831-844
        doi: 10.1016/j.jhep.2008.08.006

    39. WHO (2017) Guidelines on hepatitis b and c testing, p 204, Licence: CC BY-NC-SA 3.0 IGO, February 2017 edn

    40. Yao W, Cai H, Li X, Li T, Hu L, Peng T (2014) Endoplasmic reticulum stress links hepatitis C virus RNA replication to wild-type PGC-1alpha/liver-specific PGC-1alpha upregulation. J Virol 88:8361-8374
        doi: 10.1128/JVI.01202-14

    41. Yoneda M, Hotta K, Nozaki Y, Endo H, Uchiyama T, Mawatari H, Iida H, Kato S, Hosono K, Fujita K, Yoneda K, Takahashi H, Kirikoshi H, Kobayashi N, Inamori M, Abe Y, Kubota K, Saito S, Maeyama S, Wada K, Nakajima A (2008) Association between PPARGC1A polymorphisms and the occurrence of nonalcoholic fatty liver disease (NAFLD). BMC Gastroenterol 8:27
        doi: 10.1186/1471-230X-8-27

    42. Zhang S, Jiang J, Chen Z, Wang Y, Tang W, Chen Y, Liu L (2018) Relationship of PPARG, PPARGC1A, and PPARGC1B polymorphisms with susceptibility to hepatocellular carcinoma in an Eastern Chinese Han population. Onco Targets Ther 11:4651-4660
        doi: 10.2147/OTT.S168274

  • 加载中

Figures(1) / Tables(4)

Article Metrics

Article views(1257) PDF downloads(1) Cited by()

Related
Proportional views
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Effect of Peroxisome Proliferator-Activated Receptor-γ Coactivator-1 Alpha Variants on Spontaneous Clearance and Fibrosis Progression during Hepatitis C Virus Infection in Moroccan Patients

      Corresponding author: Sayeh Ezzikouri, sayeh.ezzikouri@pasteur.ma
      Corresponding author: Soumaya Benjelloun, soumaya.benjelloun@pasteur.ma
    • 1. Virology Unit, Viral Hepatitis Laboratory, Institut Pasteur du Maroc, 20360 Casablanca, Morocco
    • 2. Laboratoire Santé et Environnement, département de Biologie, Faculté des Sciences Ain Chock, University Hassan II of Casablanca, 20360 Casablanca, Morocco
    • 3. Service d'Hépato-Gastro-Entérologie, CHU Ibn Rochd, 20360 Casablanca, Morocco
    • 4. Centre de Recherche en Cancérologie de Lyon, UMR INSERM 1052, CNRS 5286, Lyon Cedex 03, France
    • 5. Unité "Organisation Nucléaire et Oncogenèse", INSERM U993, Institut Pasteur, 75015 Paris, France

    Abstract: Hepatitis C virus (HCV) is still one of the main causes of liver disease worldwide. Metabolic disorders, including non-alcoholic fatty liver disease (NAFLD), induced by HCV have been shown to accelerate the progression of fibrosis to cirrhosis and to increase the risk of hepatocellular carcinoma. An optimal peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PPARGC1A) activity is crucial to prevent NAFLD installation. The present study aims to investigate the associations between two common PPARGC1A polymorphisms (rs8192678 and rs12640088) and the outcomes of HCV infection in a North African context. A series of 592 consecutive Moroccan subjects, including 292 patients with chronic hepatitis C (CHC), 100 resolvers and 200 healthy controls were genotyped using a TaqMan allelic discrimination assay. PPARGC1A variations at rs8192678 and rs12640088 were not associated with spontaneous clearance of HCV infection (adjusted ORs = 0.76 and 0.79 respectively, P > 0.05, for both). Furthermore, multivariable logistic regression analysis showed that both SNPs were not associated with fibrosis progression (OR = 0.71; 95% CI 0.20–2.49; P = 0.739; OR = 1.28; 95% CI 0.25–6.54; P = 0.512, respectively). We conclude that, in the genetic context of South Mediterranean patients, rs8192678 and rs12640088 polymorphisms of PPARGC1A are neither associated with spontaneous clearance nor with disease progression in individuals infected with HCV.

    • Chronic hepatitis C virus (HCV) infection is a major global health problem. Chronically infected patients may develop cirrhosis and liver cancer responsible for a substantial mortality (Lauer and Walker 2001). The World Health Organization estimates that approximately 71 million people are infected with HCV worldwide. HCV causes not only severe liver problems but also general metabolic manifestations, such as insulin resistance (IR) and type 2 diabetes mellitus (T2DM) (Jacobson et al. 2010; WHO 2017).

      In case of chronic hepatitis C (CHC), a large interindividual variability in the risk of liver disease progression is observed. A subset of infected persons develops progressive hepatic fibrosis and subsequent cirrhosis, two conditions associated with a higher risk of hepatocellular carcinoma (HCC) (Thomas et al. 2000). In addition, the activation of pro-inflammatory mediators, such as nuclear factor-kappa-B and tumor necrosis factor α, caused by the chronic infection state, interferes with insulin signaling and contributes both to hepatic and peripheral insulin resistance (Maeno et al. 2003; Knobler and Schattner 2005). In agreement with the evidence suggesting a central role for reactive oxygen species in the development of insulin resistance, HCV infection is known to promote cellular oxidative stress through multiple mechanisms, including chronic inflammation, and iron overload. Some of the HCV proteins such as Core protein and NS5A (Nonstructural protein 5A) were reported to directly contribute to this process (Choi and Ou 2006; Houstis et al. 2006).

      Peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PPARGC1A) is one of the key regulators of various metabolic pathways through the modulation of adaptive thermogenesis, mitochondrial biogenesis, fatty acid oxidation, gluconeogenesis, and lipogenesis, all of which are to some extent perturbed in the development of non-alcoholic fatty liver disease (NAFLD) (Soyal et al. 2006). Thus, dysfunctions of this transcription factor are likely to contribute to the onset and progression of obesity and related metabolic disorders (Ramos-Lopez et al. 2018).

      PPARGC1A co-activates several transcription factors, including hepatocyte nuclear factor-4α (HNF-4α) and forkhead box O1 (FOXO1), controlling, therefore, the transcription of rate-limiting gluconeogenic enzymes, such as phosphoenolpyruvate carboxykinase (PEPCK), pyruvate dehydrogenase kinase isoenzyme 4 (PDHK4) and glucose-6-phosphatase (G6Pase) (Finck and Kelly 2006).

      PPARGC1A expression is dramatically elevated in HCV-infected cells, and accompanied by an upregulated expression of PEPCK and G6Pase (Li et al. 2007; Qadri et al. 2012). In addition, the HCV nonstructural protein 5A induces metabolic dysregulation and IR in human hepatoma cells, a process to which PPARGC1A could participate (Parvaiz et al. 2014). Furthermore, a recent study has reported that HCV infection induces PPARGC1A expression and endoplasmic reticulum (ER) stress. Moreover, pharmacological induction of ER stress upregulates PPARGC1A expression, and pharmacological inhibition of HCV-induced ER stress prevents PPARGC1A upregulation (Yao et al. 2014). Finally, treatment of HCV replicon cells with the antioxidant N-acetylcysteine can attenuate PPARGC1A induction, suggesting that HCV-promoted PPARGC1A expression is mediated by oxidative stress and inflammation (Shlomai et al. 2012).

      Several studies reported an association between PGC-1α polymorphism at position +1564G/A (rs8192678) with NAFLD, T2DM and metabolic syndrome, which is associated with the substitution of Gly with Ser (Gly482Ser) (Ek et al. 2001; Kunej et al. 2004; Vohl et al. 2005; Yoneda et al. 2008; Burgueno et al. 2013; Saremi et al. 2019). In addition, rs12640088 had a significant interaction with body mass index (BMI) (Barroso et al. 2006; Villegas et al. 2014). These studies have been conducted in Japan, Europe, Argentina and Iran i.e. in countries rather distant from Morocco. North Africa is known for the high prevalence of overweight and obesity that affect its populations, we were still curious to explore HCV and PPARGC1A in the Moroccan genetic context. These two polymorphisms in the Moroccan population have not yet been studied and needs to be explored. In this context, the aim of the current study was to investigate the effects of two polymorphisms of PPARGC1A gene in patients from a North Africa infected with HCV: a G to A transition at position + 1564 in exon 8 (that predicted a glycine to serine amino acid substitution at position 482, and therefore referred to as Gly482Ser: rs8192678) and intron variant rs12640088 A > C. These two SNPs have been previously associated with several human diseases, including type 2 diabetes, and obesity (Barroso et al. 2006; Villegas et al. 2014).

    • A total of 592 Moroccan subjects were enrolled in this case–control study at the Medical Center of Biology at the Pasteur Institute of Morocco and in the department of Medicine B at the Ibn Rochd university hospital, Casablanca from May 2012 to January 2016. This study included 292 patients with persistent HCV infection, 100 individuals who spontaneously cleared the virus, and 200 healthy controls. Each participant completed a structured questionnaire on demographic data, medical history, lifestyle features and other characteristics. Peripheral blood from the study subjects was collected on EDTA-containing tubes.

      CHC are defined as patients persistently positive both for anti-hepatitis C virus (anti-HCV) antibodies and for HCV RNA by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) for at least 6 months. In these patients, histological features were assessed noninvasively using FibroTest-ActiTest combining α-2-macroglobulin, GGT, apolipoprotein A1, haptoglobin, total bilirubin, age and gender (Biopredictive, Paris, France). Patients were stratified into two groups according to fibrosis stage. Among chronic HCV patients, 92 had mild chronic hepatitis C (mCHC i.e. patients with F0–F2 fibrosis stages), 200 patients had advanced liver disease (AdLD i.e. patients with F3–F4 or HCV-related-HCC).

      The HCV-spontaneous clearance group was positive for anti-HCV and negative for HCV RNA by qRT-PCR according to at least two measurements performed more than 6 months apart. Healthy controls were negative for hepatitis serological markers and with normal serum levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) with no current or past history of liver disease. Patients with evidence of co-infection with human immunodeficiency virus, hepatitis B virus infection or presence of autoimmune liver disease were excluded from the study.

    • Serological markers were tested for HBsAg, anti-HCV (Axsym/Architect, Abbott Diagnostics, Wiesbaden-Delkenheim, Germany) and anti-HIV (Genscreen Ag/Ab HIV Ultra, Biorad, Marnes La Coquette, France). Plasma HCV-RNA was measured by qPCR using COBAS AmpliPrep/COBAS TaqMan (Roche Diagnostics, Germany). HCV RNA level below the detection threshold (15 IU/mL) was scored as negative for HCV RNA. ALT, AST, gamma-glutamyltransferase (GGT), bilirubin, total cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL) and triglycerides were collected at time of blood sampling by two separate interviews.

    • Genomic DNA was isolated from the peripheral blood mononuclear cells as described previously (Ezzikouri et al. 2018). Genotyping for PPARGC1A rs8192678 and rs12640088 was undertaken using the TaqMan SNP genotyping allelic discrimination method (Thermo Fisher Scientific, Foster City, CA, USA) using a Light Cycler® 480 Real-Time PCR System (Roche diagnostics, Manheim, Germany). Genomic DNA was amplified in a 10 μl reaction volume containing 1 × SensiFAST Genotyping LoRox Mix (Bioline, London, UK), SNP Genotyping Assay, genomic DNA (20 ng), and completed with DNase-free water.

    • Clinical and biochemical data are presented as arithmetic mean ± standard deviation, and differences between groups were assessed with the Student's t test for quantitative variables with a normal distribution. Otherwise, Wilcoxon-Mann–Whitney test was applied for non-normally distributed quantitative traits. Hardy–Weinberg equilibrium (HWE) was assessed using SNP-HWE program. Genotype frequencies were compared between groups by regression analysis under dominant, co-dominant, recessive and log-additive models of inheritance. Results were expressed as p-value, odds ratio (OR), and 95% confidence interval (CI). All statistical procedures were performed with R software for Windows and the effect of genetic polymorphism on spontaneous clearance was examined with the SNPassoc R package (https://www.r-project.org). P-value < 0.05 was considered a significant difference. All statistical tests were two-sided.

    • In the present case–control study, a total of 592 volunteers were enrolled, among these 292 individuals with persistent HCV infection including 92 patients with mild chronic hepatitis C and 200 with advanced liver disease (AdLD) including liver cirrhosis and hepatocellular carcinoma. In addition, 100 subjects who spontaneously cleared HCV and 200 healthy controls were recruited. The demographic, biochemical, viral characteristics of the study population are shown in Table 1.

      Healthy controls (n = 200) Chronic HCV infection (n = 292) HCV-spontaneous clearance (n = 100)
      Age (years) 55 [13-93] 63 [20-88] 58 [20-76]
      Gender (%)
      Male 67 (33.5) 108 (36) 41(41)
      Female 133 (66.5) 192 (64) 59 (59)
      Biochemical variables (mean ± SD)
      Alanine aminotransferase (IU/L) 35.33 ± 21.52 78.43 ± 55.23 46.44 ± 56.25
      Aspartate aminotransferase (IU/L) 29.35 ± 16.39 68.85 ± 46.25 34.7 ± 21.43
      Bilirubin (μmol/L) NA 15.19 ± 6.08 15.16 ± 11.17
      Creatinine (μmol/L) NA 108.54 ± 199.72 82.34 ± 34.55
      Fasting serum glucose (g/L) 0.95 ± 0.19 1.06 ± 0.41 1.23 ± 0.54
      Total cholesterol (g/L) 1.91 ± 0.38 1.53 ± 0.36 1.72 ± 0.38
      Triglycerides (g/L) 1.31 ± 0.68 1.04 ± 0.37 1.37 ± 1.33
      HDL-cholesterol (g/L) 0.54 ± 0.36 0.52 ± 0.17 0.48 ± 0.10
      LDL-cholesterol (g/L) 1.11 ± 0.38 0.86 ± 0.6 0.94 ± 0.36
      Median viral load (IU/mL) NA 2.8 E + 06 -
      [range] [0.9 E + 03 - 64.5 E + 06]
      Viral genotypes (%)
      Genotype 1 - 59.90 -
      Genotype 2 - 39.06 -
      Genotype 3 - 0.52 -
      Genotype 4 - 0.52 -
      Disease stages (n)
      mCHC - 92 -
      AdLD - 127 -
      HCC - 73 -
      SD standard deviation, Na non applicable, HDL high density lipoprotein, LDL low density lipoprotein, mCHC mild chronic hepatitis C, AdLD advanced liver disease, HCC hepatocellular carcinoma.

      Table 1.  Baseline characteristics of healthy subjects, chronic HCV patients and HCV-spontaneous clearance group.

      Patients with advanced liver fibrosis were older (P < 0.0001) than the others. Serum aminotransferases and bilirubin levels were very significantly increased in the AdLD group as compared to the mCHC group (P < 0.0001). Moreover, AdLD patients exhibited significantly higher values of fasting serum glucose (P= 0.003) but lower total cholesterol and LDL-cholesterol values compared to the mCHC group (P < 0.05). No significant difference was observed regarding creatinine, triglyceride, HDL-cholesterol and HCV viral load between AdLD and mCHC groups (Table 2). An analysis of biological parameters and viral characteristic of patients with CHC infection according to HCV genotypes was also performed. We observed that patients infected with HCV genotype 1 have higher serum triglyceride (P= 0.001) and lower LDL-cholesterol levels (P= 0.01) compared to genotype 2-infected patients. There was no difference regarding fasting serum glucose, total cholesterol and HDL-cholesterol levels between genotypes 1 and 2 (P > 0.05, data not shown). Likewise, serum aminotransferase level was significantly higher in HCV genotype 1-infected group compared to the genotype 2-infected subset (P= 0.01, Data not shown). However, no significant difference between HCV genotypes regarding viral loads was observed (P> 0.05, data not shown). These results confirm that the progression of the liver disease due to HCV includes both features of liver injury and metabolic traits with genotype 1 apparently capable to more profoundly disturb liver function than genotype 2.

      Mild chronic hepatitis (n = 92) Advanced liver disease (n = 200) P value
      Mean age ± SD (years) 57.13 ± 14.09 64.14 ± 9.47 < 0.0001
      Gender (%)
      Male 26 (27.37) 41 (31.30) 0.558
      Female 69 (72.63) 90 (68.70)
      Biochemical variables (mean ± SD)
      Alanine aminotransferase (IU/L) 53.63 ± 39.77 96.69 ± 58.73 < 0.0001
      Aspartate aminotransferase (IU/L) 42.91 ± 24.91 87.94 ± 51.96 < 0.0001
      Bilirubin (μmol/L) 13.13 ± 5.54 16.76 ± 6.01 < 0.0001
      Creatinine (μmol/L) 87.91 ± 165.39 130.56 ± 249.41 0.148
      Fasting serum glucose (g/L) 0.97 ± 0.19 1.14 ± 0.53 0.003
      Total cholesterol (g/L) 1.60 ± 0.36 1.47 ± 0.31 0.004
      Triglycerides (g/L) 1.03 ± 0.38 1.06 ± 0.40 0.570
      HDL-cholesterol (g/L) 0.54 ± 0.19 0.51 ± 0.15 0.186
      LDL-cholesterol (g/L) 0.91 ± 0.68 0.74 ± 0.31 0.012
      Median viral load (IU/mL) 2.7 E + 06 2.9 E + 06 0.818
      [range] [1.7 E + 03-31.8 E + 06] [0.9 E + 03-64.5 E + 06]
      Viral genotypes (%)
      Genotype 1 53.85 64.03 0.114
      Genotype 2 46.15 34.21 -
      Genotype 3 - 0.88 -
      Genotype 4 - 0.88 -
      SD standard deviation, HDL high density lipoprotein, LDL low density lipoprotein.

      Table 2.  Baseline characteristics of mild and advanced liver diseases groups.

    • To estimate the frequencies of the PPARGC1A polymorphisms in Moroccan population, rs8192678 and rs12640088 SNPs were genotyped in 200 healthy controls. The distributions of both SNPs in healthy control group complied with Hardy–Weinberg equilibrium (P> 0.05). The minor allele (A) frequency (MAF) in Moroccan population was 0.175 for rs8192678 and 0.115 for rs12640088, respectively (Table 3).

      PPARGC1A Healthy controls n = 200 (%) Spontaneous clearance n = 100 (%) Persistent infection n = 292 (%) Subjects with persistence versus subjects with spontaneous clearance OR (95% Cl) P value
      rs8192678
      G/G 142 (71) 48 (48) 166 (56.85) 1
      G/A 46 (23) 44 (44) 105 (35.96) 0.69 [0.43-1.11] 0.126
      A/A 12(6) 8 (8) 21 (7.19) 0.76 [0.32-1.82] 0.536
      G allele 0.825 ± 0.021 0.700 ± 0.032 0.748 ± 0.018 1
      A allele 0.175 ± 0.021 0.300 ± 0.032 0.252 ± 0.018 0.78 [0.55-1.12] 0.181
      Dominant model 48/52 166/126 0.70 [0.44-1.10] 0.125
      Recessive model 92/8 271/21 1.12 [0.48-2.62] 0.789
      rs12640088
      A/A 154 (77) 75 (75) 221 (75.68) 1
      A/C 46 (23) 22 (22) 64 (21.92) 0.99 [0.57-1.71] 0.963
      C/C 0 (0) 3 (3) 7 (2.40) 0.79 [0.20-3.14] 0.739
      A allele 0.885 ± 0.015 0.860 ± 0.026 0.866 ± 0.014 1
      C allele 0.115 ± 0.015 0.140 ± 0.026 0.134 ± 0.014 0.95 [0.59-1.51] 0.818
      Dominant model 75/25 221/71 0.96 [0.57-1.63] 0.890
      Recessive model 97/3 285/7 1.26 [0.32-4.97] 0.745

      Table 3.  Effect of PPARGC1A polymorphisms on the outcomes of HCV infection.

    • Outcomes regarding the impact of PPARGC1A variant on spontaneous HCV clearance are displayed in Table 3. Prevalence of homozygous A/A genotype at rs8192678 was 8.0% in the spontaneously recovered group and 7.2% in the HCV persistent group, while homozygous C/C genotype at rs12640088 was 3.0% in the spontaneous recovery group compared to 2.4% in the persistence group. There were no significant differences in the distribution of the genotype frequencies between groups (P> 0.05).

      When the rs8192678 G/G and rs12640088 A/A genotypes were used as the reference group, none of the G/A, A/A and A/C, C/C genotypes were associated with chronicity (adjusted ORs = 0.69, 95% CI 0.43–1.11; 0.76, 95% CI 0.32–1.82 and 0.99, 95% CI 0.57–1.71; 0.79, 95% CI 0.20–3.14, respectively). The A/A and C/C genotypes were not associated either with spontaneous resolution of HCV infection.

    • In order to analyze the effect of the two polymorphisms on liver disease progression in the Moroccan population, we tested the association of rs8192678 and rs12640088 with fibrosis stage by multiple logistic regression analysis adjusted for age, gender and viral load. CHC patients were stratified according to fibrosis stages as absent/mild (Mild group) or significant (AdLD group). The result indicated that age, male sex, cholesterol, GGT, ALT and AST were associated with advanced fibrosis (P < 0.05). On the other hand, we observed an absence of impact of both rs8192678 AA and rs12640088 CC genotypes on progression of liver disease (OR = 0.71; 95% CI 0.20–2.49; P= 0.739; OR = 1.28; 95% CI 0.25–6.54; P= 0.512, respectively Table 4).

      Mild group (n = 92) Advanced group (n = 200) OR 95% CI P value
      Age (years) 58.5 [51-67] 65 [58-73] 1.06 1.04-1.09 < 0.001
      Male sex (%) 23 (25.0%) 81 (41.3%) 2.1 1.23-3.71 0.011
      Total cholesterol (g/L) 1.64 [1.36-1.85] 1.42 [1.27-1.68] 0.23 0.07-0.75 0.015
      Triglycerides (g/L) 0.96 [0.81-1.27] 0.98 [0.78-1.21] 1.12 0.41-3.06 0.874
      HDL (g/L) 0.52 [0.42-0.66] 0.51 [0.38-0.60] 0.14 0.01-1.73 0.232
      LDL (g/L) 0.89 [0.60-1.15] 0.80 [0.50-1.00] 0.42 0.10-1.68 0.200
      Gamma-glutamyltransferase (IU/L) 27.0 [19.040.0] 63.5 [38.2-119] 1.02 1.01-1.03 < 0.001
      ALT (IU/L) 40.5 [28.2-61.8] 82.0 [54.0-123] 1.02 1.01-1.04 < 0.001
      AST (IU/L) 33.5 [27.0-44.2] 76.0 [51.5-116] 1.04 1.02-1.06 < 0.001
      PPARGC1A rs8192678 AA genotype 4 (4.35%) 8 (6.30%) 0.71 0.20-2.49 0.739
      PPARGC1A rs12640088 CC genotype 3 (2.36) 3 (2.36) 1.28 0.25-6.54 0.512
      Factors associated with progression of liver disease in chronic hepatitis C patients.
      HDL high density lipoprotein, LDL low density lipoprotein, ALT alanine aminotransferase, AST Aspartate aminotransferase, PPARGC1A Peroxisome proliferator-activated receptor gamma coactivator 1 alpha, OR Odds ratio, CI confidence interval.

      Table 4.  Factors associated with disease progression of HCV infection.

    • No significant associations were found between rs8192678 and rs12640088 SNPs with biochemical features available (Fig. 1).

      Figure 1.  Association of rs8192678 and rs12640088 genotypes with lipid profile and blood glucose in CHC patients. Expression of serum cholesterol (A), HDL (B), LDL (C), Triglycerides (D) and Glycemia (E) according to genotypes of PPARGC1A rs8192678. Expression of serum cholesterol (F), HDL (G), LDL (H), Triglycerides (I) and Glycemia (J) according to genotypes of PPARGC1A rs12640088. Data are expressed as the mean and standard deviation. Statistical analyses were performed using Kruskal–Wallis.

    • HCV-related liver disease is known to progress gradually from chronic hepatitis to liver cirrhosis and to hepatocellular carcinoma (HCC) in a significant subset of infected subjects (Niederau et al. 1998). It has been shown that both viral and host factors are involved in HCV spontaneous clearance and disease progression (Mosley et al. 2005). Metabolic factors may affect the course of chronic hepatitis C (CHC). Obesity and the metabolic syndrome are conditions associated with liver manifestations, including steatosis and fibrosis. In individuals with chronic hepatitis C, obesity is associated with an exacerbation of inflammation, insulin resistance, steatosis, progression of fibrosis. Furthermore, these patients are considered as poor responders to treatment with IFN-α (Hui et al. 2003; White et al. 2008; Lazo et al. 2017). In the Middle-East and North Africa (MENA) region, metabolic impact of HCV is suspected to synergize with the pathological burden due to a widespread prevalence of overweight, obesity and T2D (Tazi et al. 2003; Musaiger 2011).

      The peroxisome proliferator-activated receptor gamma coactivator 1-alpha is a novel transcriptional co-activator playing an important role in lipid and glucose metabolisms. Genetic variations in this gene were associated with obesity, type 2 diabetes, and some other related diseases (Mirzaei et al. 2012). It is known to regulate lipid metabolism and long-chain fatty acid oxidation by upregulating the expression of several genes of the tricarboxylic acid cycle and the mitochondrial fatty acid oxidation pathway (Cheng et al. 2018). PPARGC1A gene is a transcriptional coactivator of the nuclear receptor PPARγ that exerts powerful effects on hepatic glucose and fat metabolism and may be involved in the development of NAFLD (Estall et al. 2009). A protective role of rs8192678 against hepatic steatosis has been found both in vivo and in vitro (Chen et al. 2013; Tai et al. 2016). Furthermore, recent evidence of a direct role for PPARGC1A inactivation in the pathogenesis of steatosis and HCC has been obtained in a mouse model combining HCV core transgene with PPARGC1A knockout where a liver steatosis was induced (Tanaka et al. 2008). Meanwhile, HCV core protein has been shown to reduce mitochondrial long chain fatty acid β-oxidation by impairing the expression and function of PPARGC1A (Cheng et al. 2005; Dharancy et al. 2005).

      As no data was available concerning the association of PPARGC1A variants and liver disease progression so far, we set out to explore the role of PPARGC1A gene polymorphisms rs8192678 and rs12640088 in liver disease progression of Moroccan patients chronically infected with HCV. In the population studied, the MAF frequency for rs8192678 was 0.175, which is lower than frequencies reported in both Caucasians and Asian population (Tai et al. 2016). However, regarding the rs12640088, the MAF was 0.115 in line with those reported in Caucasians and Asian population (Tai et al. 2016).

      To our knowledge, this is the first description of the relationship between PPARGC1A gene rs8192678 and rs12640088 polymorphisms and the clearance of HCV infection. The major finding of our study was a lack of association of both SNPs in PPARGC1A and spontaneous resolution of HCV infection. Furthermore, in the present study, we found that PPARGC1A rs8192678 and rs12640088 are not associated with the risk of liver disease progression in CHC. Our data are, thus, at odd with previous studies that found a significant association between PPARGC1A rs8192678 (Gly482Ser) polymorphism and HCC development, in a primarily HBV-infected Eastern Chinese Han population (Zhang et al. 2018). Moreover, Liu and colleagues found that a decreased expression of PPARGC1A plays an important role in the formation and development of HCC, while the overexpression of PPARGC1A in HCC cell lines promotes apoptosis, suggesting that PPARGC1A may be a tumor suppressor and potential therapeutic target for HCC (Liu et al. 2017).

      Regarding the metabolic aspects of the disease, our data did not reveal any significant associations with clinical characteristics such as liver enzymes, carbohydrates metabolism and lipid profile in CHC patients. These observations suggest that genetic variations affections PPARGC1A are not crucial determinants in the genetic architecture and the pathological spectrum of North African and possibly Middle Eastern populations.

      In conclusion, the PPARGC1A variants are neither associated with spontaneous resolution of HCV infections nor with progression of the chronic liver disease. Our study has some limitations, including missing data on the PPARGC1A expression in HCV-infected liver biopsies. Moreover, we are fully aware that another limitation of the current study is the relatively small size of the cohort examined. Further surveys combining the recruitment of a larger number of subjects and analyses of additional polymorphisms in PPARGC1A gene will help to clarify its role in HCV infections and progression. Further studies on North African patients with non-virus induced NAFLD, are warranted to definitively refute or confirm an effect of rs8192678 and rs12640088 on liver diseases progression.

    • The authors would like to acknowledge all patients for their participation in this study.

    • SB, SE, RE conceived, designed the experiments and wrote the paper; SB, SE, MK and PP contributed to the drafting and revision of the article; IZ, FZJ and HC helped in the collection of samples; WB and MT contributed to the clinical data; MEI helped in the statistical analysis; IC and AM helped in the interpretation of data; SB contributed to the final approval of the version to be submitted. All authors read and approved the final manuscript.

    • Authors declare that they have no conflict of interest.

    • The study was approved by the Ethics Committee of the Faculty of Medicine of Casablanca in accordance with the ethical guidelines of the Declaration of Helsinki. For study participation, written informed consent for genetic testing was obtained from all subjects.

    Figure (1)  Table (4) Reference (42) Relative (20)

    目录

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return