Evidence map›Paper›PMID 30577842›Full record

ArticleRetrovirology2018

Characterization update of HIV-1 M subtypes diversity and proposal for subtypes A and D sub-subtypes reclassification.

Nathalie Désiré, Lorenzo Cerutti, Quentin Le Hingrat, Marine Perrier, Stefan Emler, Vincent Calvez, Diane Descamps, Anne-Geneviève Marcelin, Stéphane Hué, Benoit Visseaux

Abstract read
In one paragraph

Article in Retrovirology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  14. Review
  15. Revisiting the recombinant history of HIV-1 group M with dynamic network community detection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  20. Evolutionary Genetics ofMicroorganisms · 2021
    Review
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

10 authors.

Nathalie DésiréINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Sorbonne Université, 75013, Paris, France.
Lorenzo CeruttiSmartGene Services, EPFL Innovation Park, 1015, Lausanne, Switzerland.
Quentin Le HingratIAME, UMR 1137, Université Paris Diderot, INSERM, Paris, France.
Marine PerrierIAME, UMR 1137, Université Paris Diderot, INSERM, Paris, France.
Stefan EmlerSmartGene Services, EPFL Innovation Park, 1015, Lausanne, Switzerland.
Vincent CalvezINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Sorbonne Université, 75013, Paris, France.
Diane DescampsIAME, UMR 1137, Université Paris Diderot, INSERM, Paris, France.
Anne-Geneviève MarcelinINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Sorbonne Université, 75013, Paris, France.
Stéphane HuéDepartment of Epidemiology & Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Benoit VisseauxIAME, UMR 1137, Université Paris Diderot, INSERM, Paris, France. benoit.visseaux@aphp.fr.ORCID 0000-0002-9279-5538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe large and constantly evolving HIV-1 pandemic has led to an increasingly complex diversity. Because of some taxonomic difficulties among the most diverse HIV-1 subtypes, and taking advantage of the large amount of sequence data generated in the recent years, we investigated novel lineage patterns among the main HIV-1 subtypes.

resultsAll HIV full-length genomes available in public databases were analysed (n = 2017). Maximum likelihood phylogenies and pairwise genetic distance were obtained. Clustering patterns and mean distributions of genetic distances were compared within and across the current groups, subtypes and sub-subtypes of HIV-1 to detect and analyse any divergent lineages within previously defined HIV lineages. The level of genetic similarity observed between most HIV clades was deeply consistent with the current classification. However, both subtypes A and D showed evidence of further intra-subtype diversification not fully described by the nomenclature system at the time and could be divided into several distinct sub-subtypes.

conclusionsWith this work, we propose an updated nomenclature of sub-types A and D better reflecting their current genetic diversity and evolutionary patterns. Allowing a more accurate nomenclature and classification system is a necessary step for easier subtyping of HIV strains and a better detection or follow-up of viral epidemiology shifts.

Indexed as

Genetic VariationPhylogenyEvolution, MolecularGenome, ViralHIV-1EvolutionHIVNomenclaturePhylogeneticViral diversity

Identifiers

PMID30577842
PMCPMC6303845

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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.