Evidence map›Paper›PMID 35709166›Full record

ArticlePloS one2022

Characterizing genetic transmission networks among newly diagnosed HIV-1 infected individuals in eastern China: 2012-2016.

Xiaobei Ding, Antoine Chaillon, Xiaohong Pan, Jiafeng Zhang, Ping Zhong, Lin He, Wanjun Chen, Qin Fan, Jun Jiang, Mingyu Luo and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

Xiaobei DingDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Antoine ChaillonDepartment of Medicine, University of California, San Diego, California, United States of America.
Xiaohong PanDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Jiafeng ZhangDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Ping ZhongDepartment of AIDS and STD Control and Prevention, Shanghai Municipal Centers for Disease Control and Prevention, Shanghai, China.
Lin HeDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Wanjun ChenDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Qin FanDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Jun JiangDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Mingyu LuoDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Yan XiaDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Zhihong GuoDepartment of AIDS and STD Control and Prevention, Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, China.
Davey M SmithDepartment of Medicine, University of California, San Diego, California, United States of America.
Zhejiang Center for Disease Control and Prevention · CNUniversity of California, San Diego · USShanghai Municipal Center For Disease Control Prevention · CN

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
Brain Myeloid Cells are Sources of HIV-associated Damage and Viral DispersalR01DA055491 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAILLON, ANTOINE · 2021 to 2025
$3.6M
NCATS NIH HHS UL1 TR001442NIAID NIH HHS P30 AI036214NIDA NIH HHS R01 DA055491
6 · The paper itself

Abstract

We aimed to elucidate the characteristics of HIV molecular epidemiology and identify transmission hubs in eastern China using genetic transmission network and lineage analyses. HIV-TRACE was used to infer putative relationships. Across the range of epidemiologically-plausible genetic distance (GD) thresholds (0.1-2.0%), a sensitivity analysis was performed to determine the optimal threshold, generating the maximum number of transmission clusters and providing reliable resolution without merging different small clusters into a single large cluster. Characteristics of genetically linked individuals were analyzed using logistic regression. Assortativity (shared characteristics) analysis was performed to infer shared attributes between putative partners. 1,993 persons living with HIV-1 were enrolled. The determined GD thresholds within subtypes CRF07_BC, CRF01_AE, and B were 0.5%, 1.2%, and 1.7%, respectively, and 826 of 1,993 (41.4%) sequences were linked with at least one other sequence, forming 188 transmission clusters of 2-80 sequences. Clustering rates for the main subtypes CRF01_AE, CRF07_BC, and B were 50.9% (523/1027), 34.2% (256/749), and 32.1% (25/78), respectively. Median cluster sizes of these subtypes were 2 (2-52, n = 523), 2 (2-80, n = 256), and 3 (2-6, n = 25), respectively. Subtypes in individuals diagnosed and residing in Hangzhou city (OR = 1.423, 95% CI: 1.168-1.734) and men who have sex with men (MSM) were more likely to cluster. Assortativity analysis revealed individuals were more likely to be genetically linked to individuals from the same age group (AIage = 0.090, P<0.001) and the same area of residency in Zhejiang (AIcity = 0.078, P<0.001). Additionally, students living with HIV were more likely to be linked with students than show a random distribution (AI student = 0.740, P<0.01). These results highlight the importance of Hangzhou City in the regional epidemic and show that MSM comprise the population rapidly transmitting HIV in Zhejiang Province. We also provide a molecular epidemiology framework for improving our understanding of HIV transmission dynamics in eastern China.

Indexed as

HIV-1HIV InfectionsHIV SeropositivitySexual and Gender MinoritiesChinaGenotypeHomosexuality, MaleHumansMalePhylogeny

Identifiers

PMID35709166
PMCPMC9202869
OpenAlexW4283023181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.