Evidence map›Paper›PMID 24957778›Full record

ArticleRetrovirology2014

Distinct HIV-1 entry phenotypes are associated with transmission, subtype specificity, and resistance to broadly neutralizing antibodies.

Kelechi Chikere, Nicholas E Webb, Tom Chou, Katharina Borm, Jasminka Sterjovski, Paul R Gorry, Benhur Lee

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Kelechi Chikere
Nicholas E Webb
Tom Chou
Katharina Borm
Jasminka Sterjovski
Paul R Gorry
Benhur LeeDepartment of Microbiology, Immunology, and Molecular Genetics, Los Angeles, USA. benhur.lee@mssm.edu.
Burnet Institute · AUIcahn School of Medicine at Mount Sinai · USMonash University · AUUniversity of California, Los Angeles · US

Funding

Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 1991 to 2018
$39.9M
UCLA NIGMS T32 Program AssessmentT32GM007185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TORRES, JORGE · 1985 to 2020
$21.7M
MULTIDISCIPLINARY TRAINING IN MICROBIAL PATHOGENESIST32AI007323 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Peter John Bradley · 1988 to 2026
$8.6M
Quantifying differential CD4 and CCR5 usage patterns amongst HIV-1/SIV strainsR21AI092218 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEE, BENHUR · 2010 to 2011
$422k
NIAID NIH HHS AI028697NIAID NIH HHS R21 AI092218NIAID NIH HHS T32 AI07323NIGMS NIH HHS T32 GM007185
6 · The paper itself

Abstract

backgroundThe efficiency of CD4/CCR5 mediated HIV-1 entry has important implications for pathogenesis and transmission. The HIV-1 receptor affinity profiling (Affinofile) system analyzes and quantifies the infectivity of HIV-1 envelopes (Envs) across a spectrum of CD4/CCR5 expression levels and distills these data into a set of Affinofile metrics. The Affinofile system has shed light on how differential CD4/CCR5 usage efficiencies contributes to an array of Env phenotypes associated with cellular tropism, viral pathogenesis, and CCR5 inhibitor resistance. To facilitate more rapid, convenient, and robust analysis of HIV-1 entry phenotypes, we engineered a reporter Affinofile system containing a Tat- and Rev-dependent Gaussia luciferase-eGFP-Reporter (GGR) that is compatible with the use of pseudotyped or replication competent viruses with or without a virally encoded reporter gene. This GGR Affinofile system enabled a higher throughput characterization of CD4/CCR5 usage efficiencies associated with differential Env phenotypes.

resultsWe first validated our GGR Affinofile system on isogenic JR-CSF Env mutants that differ in their affinity for CD4 and/or CCR5. We established that their GGR Affinofile metrics reflected their differential entry phenotypes on primary PBMCs and CD4+ T-cell subsets. We then applied GGR Affinofile profiling to reveal distinct entry phenotypes associated with transmission, subtype specificity, and resistance to broadly neutralizing antibodies (BNAbs). First, we profiled a panel of reference subtype B transmitted/founder (T/F) and chronic Envs (n = 12) by analyzing the infectivity of each Env across 25 distinct combinations of CD4/CCR5 expression levels. Affinofile metrics revealed that at low CCR5 levels, our panel of subtype B T/F Envs was more dependent on high levels of CD4 for HIV-1 entry compared to chronic Envs. Next, we analyzed a reference panel of 28 acute/early subtype A-D Envs, and noted that subtype C Envs could be distinguished from the other subtypes based on their infectivity profiles and relevant Affinofile metrics. Lastly, mutations known to confer resistance to VRC01 or PG6/PG19 BNAbs, when engineered into subtypes A-D Envs, resulted in significantly decreased CD4/CCR5 usage efficiency.

conclusionsGGR Affinofile profiling reveals pathophysiological phenotypes associated with varying HIV-1 entry efficiencies, and highlight the fitness costs associated with resistance to some broadly neutralizing antibodies.

Indexed as

Virus InternalizationAntibodies, NeutralizingCD4 AntigensHIV-1HIV AntibodiesHIV InfectionsHumansMutationPhenotypeReceptors, CCR5T-Lymphocyte SubsetsViral Envelope ProteinsAntibodies, NeutralizingCCR5 protein, humanCD4 AntigensHIV AntibodiesReceptors, CCR5Viral Envelope Proteins

Identifiers

PMID24957778
PMCPMC4230403
OpenAlexW2138509305

What OpenQuestion holds

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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.