Evidence map›Paper›PMID 12805431›Full record

ArticleJournal of virology2003

Enhanced detection of human immunodeficiency virus type 1-specific T-cell responses to highly variable regions by using peptides based on autologous virus sequences.

Marcus Altfeld, Marylyn M Addo, Raj Shankarappa, Paul K Lee, Todd M Allen, Xu G Yu, Almas Rathod, Jason Harlow, Kristin O'Sullivan, Mary N Johnston and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 143 citations in OpenAlex.

  1. Trial
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  5. Human hepatitis D virus-specific T cell epitopes.JHEP reports : innovation in hepatology · 2021
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15 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

16 authors at 6 institutions in 2 countries.

Marcus AltfeldPartners AIDS Research Center and Infectious Disease Unit, Massachusetts General Hospital, and Division of AIDS, Harvard Medical School, Boston, Massachusetts, USA.
Marylyn M Addo
Raj Shankarappa
Paul K Lee
Todd M Allen
Xu G Yu
Almas Rathod
Jason Harlow
Kristin O'Sullivan
Mary N Johnston
Philip J R Goulder
James I Mullins
Eric S Rosenberg
Christian Brander
Bette Korber
Bruce D Walker
Harvard University · USMassachusetts General Hospital · USAllegheny-Singer Research Institute · USLos Alamos National Laboratory · USNuffield Orthopaedic Centre · GBUniversity of Washington · US

Funding

IMMUNOLOGIC &VIROLOGIC FEATURES OF EARLY HIV INFECTIONU01AI041531 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEVY, JAY A · 1997 to 2006
$13.0M
IMMUNOLOGY AND MOLECULAR VIROLOGY OF ACUTE HIV INFECTIONU01AI041535 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI COREY, LAWRENCE · 1997 to 2003
$6.0M
INHIBITION OF HIV1 REPLICATION BY CYTOTOXIC LYMPHOCYTESR01AI030914 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI WALKER, BRUCE D · 1991 to 2013
$4.2M
CTL Responses to Regulatory and Accessory HIV-1 ProteinsR01AI050429 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALTFELD, MARCUS · 2002 to 2011
$3.7M
IMMUNE CONTROL OF HIV REPLICATIONR01AI044656 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI WALKER, BRUCE D · 1999 to 2003
$2.8M
HIV 1 SPECIFIC CD4 CELLS IN DISEASE PATHOGENESISR01AI040873 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ROSENBERG, ERIC S · 1997 to 2006
$1.8M
NIAID NIH HHS R01 AI030914NIAID NIH HHS R01 AI040873NIAID NIH HHS R01 AI044656NIAID NIH HHS R01 AI050429NIAID NIH HHS R01 AI30914NIAID NIH HHS R01 AI40873NIAID NIH HHS R01 AI44656NIAID NIH HHS R01 AI50429NIAID NIH HHS R37 AI128568NIAID NIH HHS U01 AI041531NIAID NIH HHS U01 AI41531NIAID NIH HHS U01 AI41535
6 · The paper itself

Abstract

The antigenic diversity of human immunodeficiency virus type 1 (HIV-1) represents a significant challenge for vaccine design as well as the comprehensive assessment of HIV-1-specific immune responses in infected persons. In this study we assessed the impact of antigen variability on the characterization of HIV-1-specific T-cell responses by using an HIV-1 database to determine the sequence variability at each position in all expressed HIV-1 proteins and a comprehensive data set of CD8 T-cell responses to a reference strain of HIV-1 in infected persons. Gamma interferon Elispot analysis of HIV-1 clade B-specific T-cell responses to 504 overlapping peptides spanning the entire expressed HIV-1 genome derived from 57 infected subjects demonstrated that the average amino acid variability within a peptide (entropy) was inversely correlated to the measured frequency at which the peptide was recognized (P = 6 x 10(-7)). Subsequent studies in six persons to assess T-cell responses against p24 Gag, Tat, and Vpr peptides based on autologous virus sequences demonstrated that 29% (12 of 42) of targeted peptides were only detected with peptides representing the autologous virus strain compared to the HIV-1 clade B consensus sequence. The use of autologous peptides also allowed the detection of significantly stronger HIV-1-specific T-cell responses in the more variable regulatory and accessory HIV-1 proteins Tat and Vpr (P = 0.007). Taken together, these data indicate that accurate assessment of T-cell responses directed against the more variable regulatory and accessory HIV-1 proteins requires reagents based on autologous virus sequences. They also demonstrate that CD8 T-cell responses to the variable HIV-1 proteins are more common than previously reported.

Indexed as

Amino Acid SequenceCD8-Positive T-LymphocytesFlow CytometryHIV-1HIV InfectionsHumansImmunity, CellularMolecular Sequence DataPeptidesSequence Homology, Amino AcidViral ProteinsPeptidesViral Proteins

Identifiers

PMID12805431
PMCPMC164796
OpenAlexW2049073405

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.