Evidence map›Paper›PMID 32033571›Full record

SynthesisAIDS research and therapy2020

HIV-1 subtype C predicted co-receptor tropism in Africa: an individual sequence level meta-analysis.

Nontokozo D Matume, Denis M Tebit, Pascal O Bessong

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in AIDS research and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

3 authors at 2 institutions in 2 countries.

Nontokozo D MatumeHIV/AIDS & Global Health Research Programme, and Department of Microbiology, University of Venda, Thohoyandou, 0950, South Africa.
Denis M TebitHIV/AIDS & Global Health Research Programme, and Department of Microbiology, University of Venda, Thohoyandou, 0950, South Africa.
Pascal O BessongHIV/AIDS & Global Health Research Programme, and Department of Microbiology, University of Venda, Thohoyandou, 0950, South Africa. bessong@univen.ac.za.ORCID 0000-0003-0561-272X
University of Venda · ZAForestGEO · US

Funding

South African Medical Research Council RCDISouth African Medical Research Council RCDI 57009South African National Research Foundation GUN 109312
6 · The paper itself

Abstract

backgroundEntry inhibitors, such as Maraviroc, hold promise as components of HIV treatment and/or pre-exposure prophylaxis in Africa. Maraviroc inhibits the interaction between HIV Envelope gp120 V3-loop and CCR5 coreceptor. HIV-1 subtype C (HIV-1-C) is predominant in Southern Africa and preferably uses CCR5 co-receptor. Therefore, a significant proportion of HIV-1-C CXCR4 utilizing viruses (X4) may compromise the effectiveness of Maraviroc. This analysis examined coreceptor preferences in early and chronic HIV-1-C infections across Africa.

methodsAfrican HIV-1-C Envelope gp120 V3-loop sequences sampled from 1988 to 2014 were retrieved from Los Alamos HIV Sequence Database. Sequences from early infections (< 186 days post infection) and chronic infections (> 186 days post infection) were analysed for predicted co-receptor preferences using Geno2Pheno [Coreceptor] 10% FPR, Phenoseq-C, and PSSMsinsi web tools. V3-loop diversity was determined, and viral subtype was confirmed by phylogenetic analysis. National treatment guidelines across Africa were reviewed for Maraviroc recommendation.

resultsSequences from early (n = 6316) and chronic (n = 7338) HIV-1-C infected individuals from 10 and 15 African countries respectively were available for analyses. Overall, 518/6316 (8.2%; 95% CI 0.7-9.3) of early sequences were X4, with Ethiopia and Malawi having more than 10% each. For chronic infections, 8.3% (95% CI 2.4-16.2) sequences were X4 viruses, with Ethiopia, Tanzania, and Zimbabwe having more than 10% each. For sequences from early chronic infections (< 1 year post infection), the prevalence of X4 viruses was 8.5% (95% CI 2.6-11.2). In late chronic infections (≥ 5 years post infection), X4 viruses were observed in 36% (95% CI - 16.3 to 49.9), with two countries having relatively high X4 viruses: South Africa (43%) and Malawi (24%). The V3-loop amino acid sequence were more variable in X4 viruses in chronic infections compared to acute infections, with South Africa, Ethiopia and Zimbabwe showing the highest levels of V3-loop diversity. All sequences were phylogenetically confirmed as HIV-1-C and clustered according to their co-receptor tropism. In Africa, Maraviroc is registered only in South Africa and Uganda.

conclusionsOur analyses illustrate that X4 viruses are present in significantly similar proportions in early and early chronic HIV-1 subtype C infected individuals across Africa. In contrast, in late chronic infections, X4 viruses increase 3-5 folds. We can draw two inferences from our observations: (1) to enhance the utility of Maraviroc in chronic HIV subtype C infections in Africa, prior virus co-receptor determination is needed; (2) on the flip side, research on the efficacy of CXCR4 antagonists for HIV-1-C infections is encouraged. Currently, the use of Maraviroc is very limited in Africa.

Indexed as

Drug Resistance, Multiple, ViralGenotypeHIV-1HIV Envelope Protein gp120HIV InfectionsHumansMaravirocPhylogenyReceptors, CXCR4Receptors, HIVSequence Analysis, DNASouth AfricaViral TropismCXCR4 protein, humangp120 protein, Human immunodeficiency virus 1HIV Envelope Protein gp120MaravirocReceptors, CXCR4Receptors, HIVAfricaChronic infectionsCo-receptor tropismEarly infectionsHIV-1 subtype C

Identifiers

PMID32033571
PMCPMC7006146
OpenAlexW3009970267

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.