Evidence map›Paper›PMID 41777692›Full record

ArticleOpen forum infectious diseases2026

Frequent Detection of HIV-1 Variants With Mixed Coreceptor Usage Among People Who Inject Drugs Infected With CRF01_AE: Possible Association With Coreceptor Switch.

Yosuke Maeda, Takayuki Chikata, Takeo Kuwata, Hiromi Terasawa, Giang Van Tran, Shuzo Matsushita, Tomohiro Sawa, Futoshi Hasebe, Masafumi Takiguchi

Abstract read
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Article in Open forum 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.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Yosuke MaedaDepartment of Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0001-6441-4067
Takayuki ChikataJoint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0001-8907-1320
Takeo KuwataJoint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0001-7793-6585
Hiromi TerasawaDepartment of Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Giang Van TranJoint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Shuzo MatsushitaJoint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-9649-8821
Tomohiro SawaDepartment of Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-7949-7309
Futoshi HasebeInstitute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.ORCID https://orcid.org/0000-0002-2573-3302
Masafumi TakiguchiJoint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-8516-6442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our previous study suggested that mixed infection with R5 and X4/dual human immunodeficiency virus type 1 (HIV-1) may contribute to coreceptor switch from R5 to X4 HIV-1. To confirm this hypothesis, we investigated mixed HIV-1 infections in people who inject drugs (PWID) infected with the CRF01_AE subtype. Methods: Viral plasma RNA from PWID were extracted, the V3 region of the HIV-1 gp120 gene was amplified, and deep sequencing was performed. Coreceptor usage was determined using phenotypic assay by cloning each V3 region. Coreceptor usage of minor HIV-1 variants detected by deep sequencing was predicted based on the amino acid sequences of the V3 region. Results: Deep sequencing of plasma from 36 PWID revealed that mixed HIV-1 infection involving different coreceptor usage occurred in 13 cases (36.1%). Phylogenetic analysis revealed that R5 variants were dominant, whereas X4/dual variants were detected as minor populations in most cases. In 1 case, however, R5 variants emerged as a distinct minor population mixed with X4/dual variants as the major population. Notably, plasma viral RNA load (pVL) was higher in cases of mixed infection with R5 and X4/dual HIV-1 than in those infected solely with R5 HIV-1. Conclusions: Our observations suggest a possible association between mixed HIV-1 coreceptor usage and coreceptor switch in CRF01_AE-infected PWID, and that mixed infection may be associated with pVL.

Indexed as

coreceptorCRF01_AEHIV-1mixed infectionpeople who inject drugs

Identifiers

PMID41777692
PMCPMC12951246

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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.