巴基斯坦 HCV 基因型的分子进化、病毒学和空间分布:荟萃分析

Arslan Habib , Nadiya Habib , Khalid Mahmood Anjum , Riffat Iqbal , Zeeshan Ashraf , Muhammad Usman Taj , Muhammad Asim , Kanwal Javid , Faezeh Idoon , Saeid Dashti , Cassio Rocha Medeiros , Ana Pavla Almeida Diniz Gurgel , Henrique Douglas Melo Coutinho
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引用次数: 0

摘要

背景丙型肝炎是由丙型肝炎病毒(HCV)引起的,是第二种最常见的病毒性肝炎。HCV 基因型的地理分布可能相当复杂,因此确定特定地区最流行的基因型具有挑战性。研究人员从 1996-2020 年间发表的文章中收集了有关 HCV 流行率、分布、基因分型和流行病学的科学文献。其他亚型 1b 和 1c 的频率分别为 1.0% 和 0.31%。基因型 2 的频率为 2.66%,其中分布最广的亚型为 2a,占患者总数的 2.11%。其他亚型 2b 和 2c 的频率分别为 0.17% 和 0.36%。在所有分离株中,最常见的基因型是 3(65.35%),最常见的亚型是 3a(55.15%),其次是 3b(7.18%)。基因型 4、5 和 6 在巴基斯坦很少见,频率分别为 0.97%、0.08% 和 0.32%。无法分型和混合基因型的发生率分别为 21.34% 和 3.53%。事实证明,估计基因型是一种有效的方法,有助于确定抗病毒治疗的疗程和选择。不同的 HCV 基因型对特定抗病毒治疗的反应可能不同。不同的基因型可能有不同的自然病史,包括疾病进展和严重程度的差异。结论这些信息可以指导筛查和检测策略,帮助识别出现严重并发症风险较高的人群。研究 HCV 基因型在人群中的分布可以为了解病毒的传播动态提供有价值的信息。
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Molecular evolution, virology and spatial distribution of HCV genotypes in Pakistan: A meta-analysis

Background

Hepatitis C, caused by the Hepatitis C Virus (HCV), is the second most common form of viral hepatitis. The geographical distribution of HCV genotypes can be quite complex, making it challenging to ascertain the most prevalent genotype in a specific area.

Methods

To address this, a review was conducted to determine the prevalence of HCV genotypes across various provinces and as a whole in Pakistan. The scientific literature regarding the prevalence, distribution, genotyping, and epidemiology of HCV was gathered from published articles spanning the years 1996–2020.

Results

Genotype 1 accounted for 5.1% of the patients, with its predominant subtype being 1a at 4.38%. The frequencies of its other subtypes, 1b and 1c, were observed to be 1.0% and 0.31% respectively. Genotype 2 had a frequency of 2.66%, with the most widely distributed subtype being 2a at 2.11% of the patients. Its other subtypes, 2b and 2c, had frequencies of 0.17% and 0.36% respectively. The most prevalent genotype among all isolates was 3 (65.35%), with the most frequent subtype being 3a (55.15%), followed by 3b (7.18%). The prevalence of genotypes 4, 5, and 6 were scarce in Pakistan, with frequencies of 0.97%, 0.08%, and 0.32% respectively. The prevalence of untypeable and mixed genotypes was 21.34% and 3.53% respectively. Estimating genotypes proves to be a productive method in assisting with the duration and selection of antiviral treatment. Different HCV genotypes can exhibit variations in their response to specific antiviral treatments. Different genotypes may have distinct natural histories, including variations in disease progression and severity. Some genotypes may lead to more rapid liver damage, while others progress more slowly.

Conclusions

This information can guide screening and testing strategies, helping to identify individuals at higher risk of developing severe complications. Studying the distribution of HCV genotypes in a population can provide valuable insights into the transmission dynamics of the virus.

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