全基因组测序预测表型抗结核性耐药性:元分析
Yoichi Tagami1, Nobuyuki Horita2, Megumi Kaneko1
1Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
The Journal of infectious diseases
|November 10, 2023
概括
全基因组测序 (WGS) 可以准确预测结核病的耐药性. 基于目录和非目录的WGS方法都表现出类似的预测能力,用于表型药物敏感性测试 (pDST).
科学领域:
- 基因组学就是基因组学.
- 微生物学 微生物学
- 传染性疾病 传染性疾病
背景情况:
- 全基因组测序 (WGS) 提供了预测结核病 (TB) 药物易感性的方法.
- 方法包括基于目录 (突变存在) 和非基于目录 (复杂算法) 的分析.
- 将这些WGS方法与表型药物敏感性测试 (pDST) 进行比较对于结核病管理至关重要.
研究的目的:
- 为了评估WGS对多种抗结核药物的预测准确性.
- 为了比较基于目录的与非基于目录的WGS方法的性能.
- 建立WGS作为预测结核病耐药性的可靠工具.
主要方法:
- 系统的文献搜索,确定有关结核病耐药性WGS的相关研究.
- 用随机效应双变模型对14种抗结核药物的诊断测试准确度进行元分析.
- 包括44篇文章,其中有16821个标本用于元分析.
主要成果:
- 优秀的测试准确性 (0.97-1.00) 异化和利芬素耐药性预测.
- 对其他12种药物非常好到很好的准确性,包括pyrazinamide, streptomycin 和fluoroquinolones.
- 基于目录和非目录的WGS方法显示所有测试药物的可比预测能力.
结论:
- 全基因组测序 (WGS) 非常准确地检测异化和利芬素的耐药性.
- 积极的WGS结果是大多数药物的表型药物敏感性测试 (pDST) 结果的可靠预测指标.
- 基于目录和非基于目录的WGS方法都提供了类似的诊断性能.
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