Evidence map›Paper›PMID 21690407›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Coordinate linkage of HIV evolution reveals regions of immunological vulnerability.

Vincent Dahirel, Karthik Shekhar, Florencia Pereyra, Toshiyuki Miura, Mikita Artyomov, Shiv Talsania, Todd M Allen, Marcus Altfeld, Mary Carrington, Darrell J Irvine and 2 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed
8.6field-weighted citation impact, top 1% 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

112 citing papers in PubMed, 202 citations in OpenAlex.

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  13. Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Article
  15. Phase separation in fluids with many interacting components.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Genome-wide covariation in SARS-CoV-2.Mathematical biosciences · 2021
    Article
  17. Review
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52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 4 countries.

Vincent DahirelRagon Institute of Massachusetts General Hospital, and Harvard University, Boston, MA 02129, USA.
Karthik Shekhar
Florencia Pereyra
Toshiyuki Miura
Mikita Artyomov
Shiv Talsania
Todd M Allen
Marcus Altfeld
Mary Carrington
Darrell J Irvine
Bruce D Walker
Arup K Chakraborty
Ragon Institute of MGH, MIT and Harvard · USHoward Hughes Medical Institute · USLomonosov Moscow State University · RULoughborough University · GBScience Applications International Corporation (United States) · USThe University of Tokyo · JP

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Effects of genetic polymorphism in MHC, KIR, and related loci on human diseaseZIABC010791 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CARRINGTON, MARY N. · 2009 to 2025
$18.2M
Recognition of HIV-1 by Innate Immunity Receptors during Primary InfectionP01AI074415 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALLEN, TODD M · 2008 to 2013
$17.3M
CCR NIH HHS HHSN261200800001CHoward Hughes Medical InstituteNCI NIH HHS HHSN261200800001ENIAID NIH HHS P01 AI074415NIAID NIH HHS P30 AI060354PHS HHS R0130914
6 · The paper itself

Abstract

Cellular immune control of HIV is mediated, in part, by induction of single amino acid mutations that reduce viral fitness, but compensatory mutations limit this effect. Here, we sought to determine if higher order constraints on viral evolution exist, because some coordinately linked combinations of mutations may hurt viability. Immune targeting of multiple sites in such a multidimensionally conserved region might render the virus particularly vulnerable, because viable escape pathways would be greatly restricted. We analyzed available HIV sequences using a method from physics to reveal distinct groups of amino acids whose mutations are collectively coordinated ("HIV sectors"). From the standpoint of mutations at individual sites, one such group in Gag is as conserved as other collectively coevolving groups of sites in Gag. However, it exhibits higher order conservation indicating constraints on the viability of viral strains with multiple mutations. Mapping amino acids from this group onto protein structures shows that combined mutations likely destabilize multiprotein structural interactions critical for viral function. Persons who durably control HIV without medications preferentially target the sector in Gag predicted to be most vulnerable. By sequencing circulating viruses from these individuals, we find that individual mutations occur with similar frequency in this sector as in other targeted Gag sectors. However, multiple mutations within this sector are very rare, indicating previously unrecognized multidimensional constraints on HIV evolution. Targeting such regions with higher order evolutionary constraints provides a novel approach to immunogen design for a vaccine against HIV and other rapidly mutating viruses.

Indexed as

Evolution, MolecularCapsidConserved Sequencegag Gene Products, Human Immunodeficiency VirusGenes, gagGenes, ViralHIVHIV AntigensHIV InfectionsHIV Long-Term SurvivorsHumansImmunity, CellularImmunodominant EpitopesModels, MolecularMutationProtein Multimerizationgag Gene Products, Human Immunodeficiency VirusHIV AntigensImmunodominant Epitopes

Identifiers

PMID21690407
PMCPMC3136285
OpenAlexW2108823152

What OpenQuestion holds

Textmetadata
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.