Evidence map›Paper›PMID 33347449›Full record

Observational studyPloS one2020

The genotype distribution, infection stage and drug resistance mutation profile of human immunodeficiency virus-1 among the infected blood donors from five Chinese blood centers, 2014-2017.

Shan Liang, Zhiyang Liu, Shaoli Wang, Jing Liu, Ling Shi, Wei Mao, Cunxu Liu, Jianhua Wan, Lili Zhu, Mei Huang and 6 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 9 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

16 authors at 6 institutions in 2 countries.

Shan LiangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Zhiyang LiuInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Shaoli WangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Jing LiuThe Johns Hopkins Medical Institutions, Baltimore, Maryland, United States of America.
Ling ShiUniversity of Massachusetts at Boston, Boston, Massachusetts, United States of America.
Wei MaoChongqing Blood Center, Chongqing, China.
Cunxu LiuGuangxi Blood Center, Liuzhou, Guangxi, China.
Jianhua WanUrumqi Blood Center, Urumqi, Xinjiang, China.
Lili ZhuLuoyang Blood Center, Luoyang, Henan, China.
Mei HuangMianyang Blood Center, Mianyang, Sichuan, China.
Yu LiuInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Jingxing WangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Paul NessThe Johns Hopkins Medical Institutions, Baltimore, Maryland, United States of America.
Hua ShanStanford University, Stanford, California, United States of America.
Peibin ZengWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Miao HeInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.ORCID 0000-0002-2815-1690
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJohns Hopkins University · USSichuan Mianyang 404 Hospital · CNSichuan University · CNStanford University · USUniversity of Massachusetts Boston · US

Funding

NHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008I
6 · The paper itself

Abstract

Human immunodeficiency virus-1 (HIV-1) exhibits high diversity and complexity in China, challenging the disease surveillance and antiretroviral therapy. Between July 1, 2014 and January 30, 2017, we investigated the profiles of HIV-1 infection stages, genotype distribution and drug resistance mutations (DRMs) using plasma samples from HIV Western blot (WB) confirmed blood donors from five Chinese blood centers (Chongqing, Guangxi, Luoyang, Mianyang, and Urumqi). HIV pol regions consisted of whole protease and partial reverse transcriptase were genotyped and analyzed for DRMs. Lag-Avidity testing was performed to identify the infection stages. Of the 356 HIV-1 WB positive samples tested by Lag-avidity assay, 19.1% (68/356) were recent infections. Genotyping on 356 amplified sequences presented the subtype distributions as following: CRF07_BC (65.7%), CRF08_BC (7.3%), CRF01_AE (19.1%), B (4.2%), CRF55_01B (3.1%), CRF59_01B (0.3%) and CRF68_01B (0.3%). No significant difference in genotype distribution was observed between recent and long-term infections. 48 DRMs were identified from 43 samples, indicating a drug resistance prevalence of 12.1% (43/356), which include seven protease inhibitors (PIs) accessory DRMs (Q58E, L23I and I84M), two PIs major DRMs (M46I, M46L), seven nucleoside RT inhibitors DRMs (D67N, K70Q, K219R and M184L), and 32 non-nucleoside RT inhibitors DRMs (K103N, V179E, K238N, V179D, E138G, G190E, A98G, Y188D and E138A). In addition, we had also identified CRFs from the 01B subtype including CRF55_01B (3.1%), CRF59_01B (0.3%) and CRF68_01B (0.3%). As an important part of the continuous monitoring of HIV-1 circulating strains among blood donors, our findings were expected to contribute to the comprehensive AIDS control and development of proper diagnostics for HIV-1 in China.

Indexed as

AdultAnti-HIV AgentsBlood DonorsChinaDrug Resistance, ViralGenotypeGenotyping TechniquesHIV-1HIV InfectionsHIV ProteaseHumansMutationPhylogenyReverse Transcriptase InhibitorsRNA, ViralSeroepidemiologic StudiesAnti-HIV AgentsHIV Proteasep16 protease, Human immunodeficiency virus 1Reverse Transcriptase InhibitorsRNA, Viral

Identifiers

PMID33347449
PMCPMC7752150
OpenAlexW3114731440

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.