Johns Hopkins University School of Medicine, Baltimore, Maryland.
Children's National Medical Center, Baltimore, Maryland.
Clin Infect Dis. 2020 Feb 3;70(4):615-627. doi: 10.1093/cid/ciz258.
Whether human immunodeficiency virus (HIV) infection impacts gut microbial α-diversity is controversial. We reanalyzed raw 16S ribosomal RNA (rRNA) gene sequences and metadata from published studies to examine α-diversity measures between HIV-uninfected (HIV-) and HIV-infected (HIV+) individuals.
We conducted a systematic review and individual level meta-analysis by searching Embase, Medline, and Scopus for original research studies (inception to 31 December 2017). Included studies reported 16S rRNA gene sequences of fecal samples from HIV+ patients. Raw sequence reads and metadata were obtained from public databases or from study authors. Raw reads were processed through standardized pipelines with use of a high-resolution taxonomic classifier. The χ2 test, paired t tests, and generalized linear mixed models were used to relate α-diversity measures and clinical metadata.
Twenty-two studies were identified with 17 datasets available for analysis, yielding 1032 samples (311 HIV-, 721 HIV+). HIV status was associated with a decrease in measures of α-diversity (P < .001). However, in stratified analysis, HIV status was associated with decreased α-diversity only in women and in men who have sex with women (MSW) but not in men who have sex with men (MSM). In analyses limited to women and MSW, controlling for HIV status, women displayed increased α-diversity compared with MSW.
Our study suggests that HIV status, sexual risk category, and gender impact gut microbial community α-diversity. Future studies should consider MSM status in gut microbiome analyses.
人类免疫缺陷病毒(HIV)感染是否会影响肠道微生物 α-多样性存在争议。我们重新分析了已发表研究的原始 16S 核糖体 RNA(rRNA)基因序列和元数据,以检查 HIV 未感染(HIV-)和 HIV 感染(HIV+)个体之间的 α-多样性指标。
我们通过搜索 Embase、Medline 和 Scopus 进行了系统评价和个体水平荟萃分析,检索原始研究(从开始到 2017 年 12 月 31 日)。纳入的研究报告了 HIV+患者粪便样本的 16S rRNA 基因序列。原始序列读数和元数据是从公共数据库或研究作者处获得的。原始读数通过使用高分辨率分类器的标准化管道进行处理。χ2 检验、配对 t 检验和广义线性混合模型用于将 α-多样性指标与临床元数据相关联。
确定了 22 项研究,其中有 17 个数据集可用于分析,共产生 1032 个样本(311 个 HIV-,721 个 HIV+)。HIV 状态与 α-多样性指标的降低相关(P <.001)。然而,在分层分析中,HIV 状态仅与女性和与女性发生性行为的男性(MSW)而非与男性发生性行为的男性(MSM)的 α-多样性降低相关。在仅针对女性和 MSW 的分析中,控制 HIV 状态,与 MSW 相比,女性显示出更高的 α-多样性。
我们的研究表明,HIV 状态、性风险类别和性别会影响肠道微生物群落 α-多样性。未来的研究应考虑在肠道微生物组分析中纳入 MSM 状态。