Evidence map›Paper›PMID 18687142›Full record

ArticleRetrovirology2008

Natural variation of HIV-1 group M integrase: implications for a new class of antiretroviral inhibitors.

Soo-Yon Rhee, Tommy F Liu, Mark Kiuchi, Rafael Zioni, Robert J Gifford, Susan P Holmes, Robert W Shafer

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Soo-Yon RheeDivision of Infectious Diseases, Department of Medicine, Stanford University, Stanford, CA, USA. syrhee@stanford.edu
Tommy F Liu
Mark Kiuchi
Rafael Zioni
Robert J Gifford
Susan P Holmes
Robert W Shafer
Stanford University · USStanford Medicine · US

Funding

Heterogeneous in situ data: Kernals, Distances and TreesR01GM086884 · NIGMS · STANFORD UNIVERSITY · PI HOLMES, SUSAN P · 2008 to 2011
$895k
NIGMS NIH HHS R01 GM086884
6 · The paper itself

Abstract

HIV-1 integrase is the third enzymatic target of antiretroviral (ARV) therapy. However, few data have been published on the distribution of naturally occurring amino acid variation in this enzyme. We therefore characterized the distribution of integrase variants among more than 1,800 published group M HIV-1 isolates from more than 1,500 integrase inhibitor (INI)-naïve individuals. Polymorphism rates equal or above 0.5% were found for 34% of the central core domain positions, 42% of the C-terminal domain positions, and 50% of the N-terminal domain positions. Among 727 ARV-naïve individuals in whom the complete pol gene was sequenced, integrase displayed significantly decreased inter- and intra-subtype diversity and a lower Shannon's entropy than protease or RT. All primary INI-resistance mutations with the exception of E157Q--which was present in 1.1% of sequences--were nonpolymorphic. Several accessory INI-resistance mutations including L74M, T97A, V151I, G163R, and S230N were also polymorphic with polymorphism rates ranging between 0.5% to 2.0%.

Indexed as

Genetic VariationAmino Acid SequenceAnimalsDrug Resistance, ViralHIV-1HIV InfectionsHIV IntegraseHIV Integrase InhibitorsHIV ProteaseHIV Reverse TranscriptaseHumansMolecular Sequence DataPan troglodytesPolymorphism, GeneticProtein Structure, TertiarySequence Analysis, DNAHIV IntegraseHIV Integrase InhibitorsHIV ProteaseHIV Reverse Transcriptase

Identifiers

PMID18687142
PMCPMC2546438
OpenAlexW2140333504

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.