Evidence map›Paper›PMID 32214358›Full record

ArticlePloS one2020

Characterization of subtypes and transmitted drug resistance strains of HIV among Beijing residents between 2001-2016.

Jingrong Ye, Mingqiang Hao, Hui Xing, Yuncong Wang, Juan Wang, Yi Feng, Ruolei Xin, Ji Zeng, Shuai Zhao, Yinxiao Hao and 5 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

15 authors.

Jingrong YeInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Mingqiang HaoInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Hui XingDivision of Virology and Immunology, State KeyLaboratory for InfectiousDisease Prevention and Controland National Center for AIDS/STD Preventionand Control(NCAIDS), China Center for Disease Prevention and Control, Beijing, China.
Yuncong WangInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Juan WangInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Yi FengDivision of Virology and Immunology, State KeyLaboratory for InfectiousDisease Prevention and Controland National Center for AIDS/STD Preventionand Control(NCAIDS), China Center for Disease Prevention and Control, Beijing, China.
Ruolei XinInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Ji ZengInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Shuai ZhaoDivision of Virology and Immunology, State KeyLaboratory for InfectiousDisease Prevention and Controland National Center for AIDS/STD Preventionand Control(NCAIDS), China Center for Disease Prevention and Control, Beijing, China.
Yinxiao HaoInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Jing ChenInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Yuhua RuanDivision of Virology and Immunology, State KeyLaboratory for InfectiousDisease Prevention and Controland National Center for AIDS/STD Preventionand Control(NCAIDS), China Center for Disease Prevention and Control, Beijing, China.
Xue LiInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.
Yiming ShaoDivision of Virology and Immunology, State KeyLaboratory for InfectiousDisease Prevention and Controland National Center for AIDS/STD Preventionand Control(NCAIDS), China Center for Disease Prevention and Control, Beijing, China.
Hongyan LuInstitute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Prevention and Control and Beijing Research Center for Preventive Medicine, Beijing, China.ORCID 0000-0002-3743-7148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeijing is a national and international hub potentially containing a broad diversity of HIV variants. Previous studies on molecular epidemiology of HIV in Beijing pooled together samples from residents and non-residents. Pooling residents and non-residents has potentially introduced bias and undermined a good assessment and the intervention among the autochthonous population. Here, we aimed to define HIV subtype diversity and investigate the TDR in Beijing residents exclusively.

methodsWe analyzed the demographic, clinical, and virological data collected between 2001 and 2016 from residents in Beijing. A population-based sequencing of the HIV pol gene was carried out using plasma specimens. Phylogenetic analysis was performed in order to classify sequences into their corresponding subtypes using an automated subtyping tool, the Context-Based Modeling for Expeditious Typing (COMET). Furthermore, the drug resistance mutations were determined using the World Health Organization list for surveillance of TDR mutations.

resultsData on TDR were available for 92% of 2,315 individuals with HIV infection, of whom 7.1% were women. The bioinformatic analysis of HIV strains from this study revealed that a combined 17 subtypes were circulating in Beijing, China between 2001 and 2016. The most common ones were CRF01_AE, CRF07_BC, and subtype B in Beijing during this period. The overall prevalence of TDR was 4.5% (95% confidence intervals[CI]: 3.6%-5.4%), with a declining trend over the period of spanning 2001 through 2016. In-depth class-specific analysis revealed that the prevalence of TDR for the nucleoside reverse-transcriptase inhibitors (NRTIs) was 1.0% (95% CI: 0.6-1.5), 0.9% (95% CI:0.6-1.4) for non-NRTIs and 2.8% (95% CI:2.1-3.5) for protease inhibitors. The prevalence of TDR was lower in individuals infected with the CRF07_BC HIV strain than those infected with CRF01_AE.

conclusionsOur data showed that the HIV epidemic in Beijing displayed a high genetic heterogeneity and a low and declining prevalence of TDR. In sharp contrast to Europe and North America, the declining trend of TDR between 2001 through 2016 was noticed while there was a widespread distribution of antiretroviral treatment in Beijing, China.

Indexed as

Drug Resistance, ViralAdultBeijingCD4 Lymphocyte CountFemaleHIV InfectionsHumansMaleMiddle Aged

Identifiers

PMID32214358
PMCPMC7098609

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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.