Evidence map›Paper›PMID 29374475›Full record

ArticleRetrovirology2018

Prediction of HIV-associated neurocognitive disorder (HAND) from three genetic features of envelope gp120 glycoprotein.

Masato Ogishi, Hiroshi Yotsuyanagi

Abstract readValidation Study
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 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Masato OgishiDivision of Infectious Diseases and Applied Immunology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan. oogishi-tky@umin.ac.jp.ORCID http://orcid.org/0000-0003-2421-7389
Hiroshi YotsuyanagiDivision of Infectious Diseases and Applied Immunology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV-associated neurocognitive disorder (HAND) remains an important and yet potentially underdiagnosed manifestation despite the fact that the modern combination antiretroviral therapy (cART) has achieved effective viral suppression and greatly reduced the incidence of life-threatening events. Although HIV neurotoxicity is thought to play a central role, the potential of viral genetic signature as diagnostic and/or prognostic biomarker has yet to be fully explored.

resultsUsing a manually curated sequence metadataset (80 specimens, 2349 sequences), we demonstrated that only three genetic features are sufficient to predict HAND status regardless of sampling tissues; the accuracy reached 100 and 94% in the hold-out testing subdataset and the entire dataset, respectively. The three genetic features stratified HAND into four distinct clusters. Extrapolating the classification to the 1619 specimens registered in the Los Alamos HIV Sequence Database, the global HAND prevalence was estimated to be 46%, with significant regional variations (30-71%). The R package HANDPrediction was implemented to ensure public availability of key codes.

conclusionsOur analysis revealed three amino acid positions in gp120 glycoprotein, providing the basis of the development of novel cART regimens specifically optimized for HAND-associated quasispecies. Moreover, the classifier can readily be translated into a diagnostic biomarker, warranting prospective validation.

Indexed as

AlgorithmsArtificial IntelligenceCluster AnalysisComorbidityDatabases, GeneticHIV-1HIV Envelope Protein gp120HIV InfectionsHumansNeurocognitive DisordersPrevalenceProspective StudiesHIV Envelope Protein gp120BiomarkerHIV-associated neurocognitive disorder (HAND)HIV envelope gp120 glycoproteinMachine learning

Identifiers

PMID29374475
PMCPMC5787250

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.