Evidence map›Paper›PMID 32371875›Full record

ArticleScientific reports2020

HIV-1 molecular epidemiology and drug resistance-associated mutations among treatment-naïve blood donors in China.

Junpeng Zhao, Xiaoting Lv, Le Chang, Huimin Ji, Barbara J Harris, Lu Zhang, Xinyi Jiang, Fei Guo, John Hackett, Peng Yin and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

13 citing papers in PubMed, 14 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.

Junpeng ZhaoNational Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China.
Xiaoting LvAbbott Laboratories, Research and Development, Shanghai, P.R. China.
Le ChangNational Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China.
Huimin JiNational Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China.
Barbara J HarrisAbbott Laboratories, Infectious Disease Research, Abbott Park, IL, USA.ORCID http://orcid.org/0000-0002-4050-2553
Lu ZhangNational Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China.
Xinyi JiangNational Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China.
Fei GuoNational Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China.
John HackettAbbott Laboratories, Infectious Disease Research, Abbott Park, IL, USA.
Peng YinAbbott Laboratories, Infectious Disease Research, Abbott Park, IL, USA.
Gavin A ClohertyAbbott Laboratories, Infectious Disease Research, Abbott Park, IL, USA.
Mary A RodgersAbbott Laboratories, Infectious Disease Research, Abbott Park, IL, USA.
Lunan WangNational Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China. lunan99@163.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNAbbott Fund · USAbbott (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surveillance of human immunodeficiency virus (HIV) molecular diversity and drug resistance-associated mutations (DRMs) among treatment-naïve blood donors is critical for monitoring viral evolution and blood safety. From 2016-2017, 199 plasma samples were collected from 24 blood centers and confirmed as HIV viral load positive or serologically reactive in National Centers for Clinical Laboratories (NCCL), of which 179 were sequenced and subtyped in the gag, protease (PR)-reverse transcriptase (RT), integrase (IN) and/or envelope (env) regions. DRMs in PR-RT and IN regions were analyzed in Stanford HIVdb Program. The majority of subtypes were circulating recombinant form (CRF) 07_BC (34.6%) and CRF01_AE (32.4%); many unique recombinant forms (URFs) (39, 21.8%) and other rare CRFs were observed in the study. Notably, CRF02_AG and CRF06_cpx strains typically found in Africa were firstly identified amongst Chinese blood donors. DRMs were common, with 28 of 179 (15.6%) specimens carrying DRMs, including the PR N88S and RT K103N mutations, which have been implicated in elevated resistance to antiretroviral drugs. Furthermore, 4 HIV-1 isolates (2.4%, 4/168) had surveillance drug-resistance mutation (SDRM), including 3 nonnucleosidereverse transcriptase inhibitors (NNRTI) SDRMs (1 K101E, 2 K103N) and 1 protease inhibitor (PI) SDRM (M46I). The HIV viral diversity among blood donors observed in this study suggest that ongoing HIV-1 recombination is becoming progressively complex in China, and lots of DRMs found in the study exacerbate the primary drug resistance landscape, which highlight the necessity of timely genotypic drug resistance monitoring and molecular surveillance of HIV-1 among blood donors.

Indexed as

Drug Resistance, ViralMutationAdolescentAdultAgedAntiretroviral Therapy, Highly ActiveFemaleGenome, ViralGenotypeHIV-1HIV InfectionsHumansMaleMiddle AgedMolecular EpidemiologyPhylogeny

Identifiers

PMID32371875
PMCPMC7200736
OpenAlexW3022440222

What OpenQuestion holds

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Registered trials

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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.