Evidence map›Paper›PMID 41877100›Full record

ArticleBMC infectious diseases2026

Analysis of pharyngeal microbiome characteristics in HIV-infected individuals: correlation between the degree of immunosuppression and microbial dysbiosis.

Xiaolei Ji, Yuanyuan Geng, Chen Guo, Shu Zhang, Hongge Li, Chen Li, Yu Du, Xiaonan Guo, Beibei Miao, Yijie Hu and 4 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Xiaolei Ji *Key Laboratory of Medicine, Nantong Center for Disease Control and Prevention, No.189 Gongnongnan Road, Chongchuan District, Nantong, Jiangsu, 226001, China.
Yuanyuan Geng *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Chen Guo *Nantong Chongchuan Center for Disease Control and Prevention, No.47 Zhongxiuzhong Road, Nantong, Jiangsu, 226001, China.
Shu ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Hongge LiXuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Quanshan District, Xuzhou, Jiangsu, 221000, China.
Chen LiSuzhou Center for Disease Control and Prevention, 16 Guangqian Road, Xiangcheng District, Suzhou, Jiangsu, 215137, China.
Yu DuXuzhou Center for Disease Control and Prevention, 142 West Erhuan Road, Quanshan District, Xuzhou, Jiangsu, 221000, China.
Xiaonan GuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Beibei MiaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China.
Yijie HuCollege of Life Sciences, Zhejiang Normal University, 688 Yingbin Avenue, Jinhua, Zhejiang, 321004, China.
Jialin LvCollege of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New City, Tangshan, Hebei, 063210, China.
Zixing ZhouSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
Jie GongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China. gongjie@icdc.cn.
Yihua SunKey Laboratory of Medicine, Nantong Center for Disease Control and Prevention, No.189 Gongnongnan Road, Chongchuan District, Nantong, Jiangsu, 226001, China. yihuasun0a@163.com.

Funding

Enhancement of Communicable Disease Surveillance and Control Technical Capabilities 102393240020020000003National Key Research and Development Program of China 2022YFC2504800
6 · The paper itself

Abstract

objectivesDespite the significant improvement in survival rates due to antiretroviral therapy, opportunistic infections continue to pose a major health risk for individuals living with HIV. As a key anatomical intersection of the upper respiratory and digestive tracts, the pharyngeal microbiome during HIV infection remains poorly characterized. This study aimed to compare the composition of bacterial and fungal communities in the pharynx between HIV-infected individuals and healthy controls, and to investigate their association with host immune status.

methodsThroat swab samples were collected from 70 HIV-infected individuals—stratified into severe, moderate, and no/mild immunosuppression groups based on CD4⁺ T-cell counts—and 18 healthy controls. Microbial composition was assessed using 16S rRNA and internal transcribed spacer (ITS) amplicon sequencing.

resultsBacterial alpha diversity was significantly reduced in the severe immunosuppression group (CD4⁺ T cells < 200/µL) compared to other groups, whereas fungal alpha diversity did not differ significantly across groups. Beta-diversity analysis revealed a distinct bacterial community structure in the severe immunosuppression group. Fungal communities, however, differed significantly between all HIV-infected individuals and healthy controls. At the genus level, the severe immunosuppression group exhibited a decrease in commensal bacteria such as Prevotella and an increase in Halomonas. Additionally, Candida was significantly enriched in the severe immunosuppression group, while Exophiala levels were elevated across all HIV-infected groups.

conclusionsThe pharyngeal microbiome of HIV infected individuals undergoes significant changes, with bacterial community disorder associated with immune suppression, while the fungal community changes are more closely related to the HIV infection status of the individuals. The enrichment of Candida in individuals with severe immune suppression is more appropriately interpreted as a manifestation of fungal dysbiosis associated with advanced immunosuppression and a potential indicator of increased susceptibility to oropharyngeal candidiasis, rather than as a diagnostic biomarker of overt disease. CLINICAL REGISTER NUMBER: Not applicable.

Indexed as

BacteriaDysbiosisHIV InfectionsMicrobiotaPharynxAdultCD4 Lymphocyte CountFemaleFungiHumansImmunosuppression TherapyMaleMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA sequencingHIVImmunosuppressionPharyngeal microbiome

Identifiers

PMID41877100
PMCPMC13137539

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.