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El-Fattah MA. Predictive power of Interleukin-28B gene variants for outcome of Hepatitis C Virus genotype 4 in Egyptians: A systematic review and meta-analysis. Clin Res Hepatol Gastroenterol 2021; 45:101480. [PMID: 32622719 DOI: 10.1016/j.clinre.2020.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 05/09/2020] [Accepted: 06/01/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND An advanced liver fibrosis did not abolish an Egyptian ethnicity as a favourable predictor for hepatitis C genotype 4 (HCV-GT4) outcome, that raises genetic issues. PATIENTS AND METHODS Multiple databases were searched from inception up to 1 April, 2020 for all studies included Egyptians, whose were genotyped for Interleukin-28B (IL-B28) in the setting of HCV. The pooled odds ratios (ORs) were based on a fixed or random effect model as appropriate. RESULTS In total, 33 studies included 5,538 Egyptians from 9 governorates. Of these, 4088 patients had chronic HCV-GT4, 373 resolvers (spontaneously cleared the virus), and 1077 non-infected subjects. The pooled prevalence of CC and CT/TT rs12979860 genotypes among chronic HCV-GT4 were 32%, and 68%, respectively. The pooled sustained virologic response (SVR) was achieved in 54% of 2,622 patients received Pegylated-interferon and Ribavirin. Compared with chronic HCV-infected patients, the favorable CC genotype was over-represented in the healthy subjects (30% vs. 45%), and HCV resolvers (28% vs. 59%). The CC genotype carriers were two-times more likely to resist HCV infection (vs. CT/TT OR=1.93, P<0.001), three-times (OR=3.31, P<0.001) to clear the virus spontaneously, and six-times to achieve interferon-induced SVR (ORcorrected=6.03; P<0.001). The rs8099917 TT carriers were associated with a higher rate of SVR (vs. wild GT/GG, 74% vs. 38%), with 3-fold probability achieving SVR (ORcorrected=3.42, P<0.001). CONCLUSIONS Polymorphisms near the IL-28B gene protect against infection and persistence of HCV, and predict SVR.
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Affiliation(s)
- Mohamed Abd El-Fattah
- Department of Internal Medicine, Faculty of Medicine, Suez Canal University, Ring Road, Ismailia City, Ismailia 41522, Egypt.
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Radouani F, Zass L, Hamdi Y, Rocha JD, Sallam R, Abdelhak S, Ahmed S, Azzouzi M, Benamri I, Benkahla A, Bouhaouala-Zahar B, Chaouch M, Jmel H, Kefi R, Ksouri A, Kumuthini J, Masilela P, Masimirembwa C, Othman H, Panji S, Romdhane L, Samtal C, Sibira R, Ghedira K, Fadlelmola F, Kassim SK, Mulder N. A review of clinical pharmacogenetics Studies in African populations. Per Med 2020; 17:155-170. [PMID: 32125935 PMCID: PMC8093600 DOI: 10.2217/pme-2019-0110] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Effective interventions and treatments for complex diseases have been implemented globally, however, coverage in Africa has been comparatively lower due to lack of capacity, clinical applicability and knowledge on the genetic contribution to disease and treatment. Currently, there is a scarcity of genetic data on African populations, which have enormous genetic diversity. Pharmacogenomics studies have the potential to revolutionise treatment of diseases, therefore, African populations are likely to benefit from these approaches to identify likely responders, reduce adverse side effects and optimise drug dosing. This review discusses clinical pharmacogenetics studies conducted in African populations, focusing on studies that examined drug response in complex diseases relevant to healthcare. Several pharmacogenetics associations have emerged from African studies, as have gaps in knowledge.
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Affiliation(s)
- Fouzia Radouani
- Research Department, Chlamydiae & Mycoplasmas Laboratory, Institut Pasteur du Maroc, Casablanca 20360, Morocco
| | - Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI Africa Wellcome Trust Centre, University of Cape Town, South Africa
| | - Yosr Hamdi
- Laboratory of Biomedical Genomics & Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, 13, Place Pasteur BP 74, 1002 Tunis, Belvédère, Tunisie
| | - Jorge da Rocha
- Sydney Brenner Institute for Molecular Bioscience, University of The Witwatersrand, Johannesburg, South Africa
| | - Reem Sallam
- Medical Biochemistry & Molecular Biology Department, Faculty of Medicine, Ain Shams University, Abbaseya, Cairo 11381, Egypt
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics & Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, 13, Place Pasteur BP 74, 1002 Tunis, Belvédère, Tunisie
| | - Samah Ahmed
- Centre for Bioinformatics & Systems Biology, Faculty of Science, University of Khartoum, 321 Khartoum, Sudan.,Faculty of Clinical & Industrial Pharmacy, National University, Khartoum, Sudan
| | - Maryame Azzouzi
- Research Department, Chlamydiae & Mycoplasmas Laboratory, Institut Pasteur du Maroc, Casablanca 20360, Morocco
| | - Ichrak Benamri
- Research Department, Chlamydiae & Mycoplasmas Laboratory, Institut Pasteur du Maroc, Casablanca 20360, Morocco.,Systems & Data Engineering Team, National School of Applied Sciences of Tangier, Morocco
| | - Alia Benkahla
- Laboratory of Bioinformatics, Biomathematics & Biostatistics LR 16 IPT 09, Institute Pasteur de Tunis, Tunisia
| | - Balkiss Bouhaouala-Zahar
- Laboratory of Venoms & Therapeutic Molecules, Pasteur Institute of Tunis, 13 Place Pasteur, BP74, Tunis Belvedere- University of Tunis El Manar, Tunisia
| | - Melek Chaouch
- Laboratory of Bioinformatics, Biomathematics & Biostatistics LR 16 IPT 09, Institute Pasteur de Tunis, Tunisia
| | - Haifa Jmel
- Laboratory of Biomedical Genomics & Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, 13, Place Pasteur BP 74, 1002 Tunis, Belvédère, Tunisie
| | - Rym Kefi
- Laboratory of Biomedical Genomics & Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, 13, Place Pasteur BP 74, 1002 Tunis, Belvédère, Tunisie
| | - Ayoub Ksouri
- Laboratory of Bioinformatics, Biomathematics & Biostatistics LR 16 IPT 09, Institute Pasteur de Tunis, Tunisia.,Laboratory of Venoms & Therapeutic Molecules, Pasteur Institute of Tunis, 13 Place Pasteur, BP74, Tunis Belvedere- University of Tunis El Manar, Tunisia
| | - Judit Kumuthini
- H3ABioNet, Bioinformatics Department, Centre for Proteomic & Genomic Research, Cape Town, South Africa
| | - Phumlani Masilela
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI Africa Wellcome Trust Centre, University of Cape Town, South Africa
| | - Collen Masimirembwa
- Sydney Brenner Institute for Molecular Bioscience, University of The Witwatersrand, Johannesburg, South Africa.,DMPK Department, African Institute of Biomedical Science & Technology, Harare, Zimbabwe
| | - Houcemeddine Othman
- Sydney Brenner Institute for Molecular Bioscience, University of The Witwatersrand, Johannesburg, South Africa
| | - Sumir Panji
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI Africa Wellcome Trust Centre, University of Cape Town, South Africa
| | - Lilia Romdhane
- Laboratory of Biomedical Genomics & Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, 13, Place Pasteur BP 74, 1002 Tunis, Belvédère, Tunisie.,Département des Sciences de la Vie, Faculté des Sciences de Bizerte, Université Carthage, 7021 Jarzouna, BP 21, Tunisie
| | - Chaimae Samtal
- Biotechnology Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Fez 30000, Morocco.,Department of Biology, University of Mohammed Premier, Oujda, Morocco.,Department of Biology Faculty of Sciences, University of Sidi Mohamed Ben Abdellah, Fez, Morocco
| | - Rania Sibira
- Centre for Bioinformatics & Systems Biology, Faculty of Science, University of Khartoum, 321 Khartoum, Sudan.,Department of Neurosurgery, National Center For Neurological Sciences, Khartoum, Sudan
| | - Kais Ghedira
- Laboratory of Bioinformatics, Biomathematics & Biostatistics LR 16 IPT 09, Institute Pasteur de Tunis, Tunisia
| | - Faisal Fadlelmola
- Centre for Bioinformatics & Systems Biology, Faculty of Science, University of Khartoum, 321 Khartoum, Sudan
| | - Samar Kamal Kassim
- Medical Biochemistry & Molecular Biology Department, Faculty of Medicine, Ain Shams University, Abbaseya, Cairo 11381, Egypt
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI Africa Wellcome Trust Centre, University of Cape Town, South Africa
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Sedighimehr P, Irani S, Sakhaee F, Vaziri F, Aghasadeghi M, Sadat SM, Jamnani FR, Fateh A, Siadat SD. IL28B rs12980275 and HLA rs4273729 genotypes as a powerful predictor factor for rapid, early, and sustained virologic response in patients with chronic hepatitis C. Arch Virol 2017; 162:181-189. [PMID: 27714501 DOI: 10.1007/s00705-016-3095-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Accepted: 09/29/2016] [Indexed: 12/14/2022]
Abstract
Single-nucleotide polymorphisms (SNPs) in the Interleukin-28B (IL28B) gene and rs4273729 in the human leukocyte antigen (HLA) gene in chronic hepatitis C (CHC) virus infection are important for predicting treatment outcome. In this study, the distribution of IL28B SNPs (rs12979860 and rs12980275) and HLA rs4273729 in rapid virologic response (RVR), complete early virologic response (cEVR) and sustained virologic response (SVR) in HCV Iranian patients with CHC virus infection was assessed. IL28B genotyping and rs4273729 were performed using the amplification refractory mutation system (ARMS)-PCR and direct sequencing in 190 CHC virus infections, respectively. RVR, cEVR, and SVR were 53.2 %, 78.9 %, and 65.8 %, respectively. Multivariate regression analysis demonstrated that the responses significantly predicted SVR in patients with age <40 years (p = 0.008), HCV genotypes (p = 0.032), IL28B rs12979860 CC genotype (p < 0.001), rs12980275 AA genotype (p < 0.001), rs4273729 GG genotype (p < 0.001), RVR (p < 0.001) and cEVR (p = 0.024). Three critical predictor factors based on RVR response were rs12979860 CC genotype (p = 0.033), rs12980275 AA genotype (p < 0.001) and rs4273729 GG genotype (p < 0.001), while rs12980275 AA (p = 0.003) and rs4273729 GG genotypes (p < 0.001) predicted cEVR. For the first time in Iran, these results revealed that the rs12980275 and HLA rs4273729 are important for the treatment of CHC infection. These findings may help predict responses to CHC infection treatment and reduce the cost and side effects of therapy.
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Affiliation(s)
- Parvaneh Sedighimehr
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Shiva Irani
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Fatemeh Sakhaee
- Departments of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran
| | - Farzam Vaziri
- Departments of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | | | - Seyed Mehdi Sadat
- Department of Hepatitis and AIDS, Pasteur Institute of Iran, Tehran, Iran
| | - Fatemeh Rahimi Jamnani
- Departments of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Abolfazl Fateh
- Departments of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
| | - Seyed Davar Siadat
- Departments of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
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