华南预防医学 ›› 2026, Vol. 52 ›› Issue (1): 54-60.doi: 10.12183/j.scjpm.2026.0054

• 论著 • 上一篇    下一篇

HIV感染者血浆细菌和噬菌体检测情况及相关性分析

张建梅, 张荣秋, 赵靖悦, 马桂林, 陈莹婕, 温娟   

  1. 厦门市疾病预防控制中心,福建 厦门 361021
  • 收稿日期:2025-06-09 出版日期:2026-01-20 发布日期:2026-02-06
  • 通讯作者: 温娟,E-mail:juanwen789789@163.com
  • 作者简介:张建梅(1981—),女,硕士研究生,副主任技师,主要研究方向为病原微生物研究
  • 基金资助:
    福建省卫生健康中青年骨干人才培养项目(2022GGB014)

Detection and correlation analysis of plasma bacteria and phages in individuals with HIV infection

Zhang Jianmei, Zhang Rongqiu, Zhao Jingyue, Ma Guilin, Chen Yingjie, Wen Juan   

  1. Xiamen Center for Disease Control and Prevention, Xiamen, Fujian 361021, China
  • Received:2025-06-09 Online:2026-01-20 Published:2026-02-06

摘要: 目的 比较健康人群与HIV感染者血浆中细菌和噬菌体组成,并探讨2组人群噬菌体与细菌相关性的差异。方法 采集健康人群与HIV感染者血样,提取核酸进行宏基因组测序,通过生物信息学方法鉴定细菌和噬菌体组成,并预测噬菌体宿主。采用α多样性分析2组微生物多样性和丰富度,利用Spearman相关性分析2组噬菌体与细菌之间的相关性。结果 本研究共纳入HIV感染者61例,健康人群15名。健康人群一共鉴定出267个细菌种,146个属,91个科;HIV感染者一共鉴定出294个细菌种,165个属,103个科;其中2组间共有的分类单元分别为9个科、8个属及6个种。α多样性分析显示,2组人群血浆细菌组成在多样性(Shannon指数)方面差异无统计学意义(P=0.081),但健康人群血浆细菌丰富度(Chao 1指数)显著高于HIV感染者(P=3.7×10-6)。健康人群均检出噬菌体,共鉴定出165个噬菌体种和102个属;在HIV感染者中,46例(75.41%)检出噬菌体,共鉴定出61个噬菌体种,34个属。α多样性分析显示,健康人群血浆噬菌体在多样性(PShannon=1.8×10-8)和丰富度(PChao1=9.1×10-9)上均显著高于HIV感染者。2组人群中丰度均排前3的噬菌体为红育菌属噬菌体、克洛诺斯杆菌属噬菌体、表皮杆状菌属噬菌体。在HIV感染者中,克洛诺斯杆菌属噬菌体、红育菌属噬菌体、黄杆菌属噬菌体分别与血浆中乳杆菌属、贪铜菌属、柠檬酸杆菌属呈现显著负或正相关性(均P<0.05);但该相关性在健康人群中减弱或呈相反趋势。结论 健康人群和HIV感染者的血浆在微生物组成,尤其是在噬菌体的多样性、丰富度及噬菌体与细菌的相互关系上,存在显著差异。HIV感染可能重塑血浆噬菌体群落,进而影响血液微生态的稳定。

关键词: HIV感染者, 高通量测序, 细菌, 噬菌体, α多样性, Spearman相关性

Abstract: Objective To compare the composition of plasma bacteria and phages between healthy individuals and individuals with HIV infection, and to investigate the differential correlations between phages and bacteria within these two cohorts. Methods Blood samples were collected from a cohort of HIV-infected individuals and a control group of healthy individuals. Nucleic acids were extracted for metagenomic sequencing. Bioinformatic pipelines were utilized to identify bacterial and phage compositions and to predict phage-host relationships. Alpha diversity analyses were conducted to assess microbial diversity and richness. Spearman's rank correlation was employed to analyze the interrelationships between phages and bacteria. Results This study enrolled 61 individuals with HIV infection and 15 healthy controls. In the healthy cohort, 267 bacterial species, 146 genera, and 91 families were identified, whereas the HIV-infected cohort presented 294 bacterial species, 165 genera, and 103 families. The two groups shared 9 families, 8 genera, and 6 species. Alpha diversity analysis revealed no significant difference in plasma bacterial diversity (Shannon index, P=0.081) between the groups; however, bacterial richness (Chao1 index) was significantly higher in the healthy controls compared to the HIV-infected individuals (P=3.7×10⁻⁶). Phages were detected in all healthy controls, with 165 phage species and 102 genera identified. Conversely, phages were detected in only 46 of the 61 HIV-infected participants (75.41%), comprising 61 phage species and 34 genera. Alpha diversity metrics for the plasma phageome were significantly higher in the healthy cohort in terms of both diversity (Shannon index, P=1.8×10⁻⁸) and richness (Chao1 index, P=9.1×10⁻⁹). The three most abundant phages in both groups were identified as those associated with the genera Rhodoferax, Cronobacter, and Cutibacterium. In the HIV-infected cohort, phages associated with Cronobacter, Rhodoferax, and Flavobacterium demonstrated significant negative or positive correlations with plasma levels of Lactobacillus, Cupriavidus, and Citrobacter, respectively (all P<0.05). These correlations, however, were attenuated or exhibited an opposite trend in the healthy control group. Conclusion Marked differences exist in the plasma microbial composition of healthy individuals versus those with HIV infection, particularly concerning the diversity, richness, and bacterium-phage correlations of the phageome. HIV infection may substantially reshape the plasma phage community, thereby potentially affecting the stability of the blood micro-ecosystem.

Key words: HIV infection, High-throughput sequencing, Bacteria, Phages, Alpha diversity, Spearman′s rank correlation

中图分类号: 

  • R183.9