Evidence map›Paper›PMID 35972938›Full record

ArticlePloS one2022

Design and validation of HIV peptide pools for detection of HIV-specific CD4+ and CD8+ T cells.

Rita Al-Kolla, Alba Grifoni, Shane Crotty, Alessandro Sette, Sara Gianella, Jennifer Dan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. T-cell receptor sequencing reveals selected donor-reactive CD8American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  4. Review
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

6 authors at 3 institutions in 1 country.

Rita Al-KollaCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, United States of America.
Alba GrifoniCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, United States of America.
Shane CrottyCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, United States of America.
Alessandro SetteCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, United States of America.
Sara GianellaDivision of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Jennifer DanCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, United States of America.ORCID 0000-0002-1672-0657
La Jolla Institute for Immunology · USScripps Research Institute · USUniversity of California San Diego · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jennifer E Iudicello · 2001 to 2026
$50.4M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Large Scale T Cell Epitope Discovery:Global identification of epitopes derived from Zika (ZIKV), Chikungunya (CHIKV) viruses following natural infection and vaccination75N93019C00065 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI MITCHELL, MAYA · 2019 to 2023
$7.3M
The Immunology of Recurrent Group A Streptococcus TonsillitisK08AI135078 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAN, JENNIFER MARIE · 2018 to 2022
$972k
NCATS NIH HHS UL1 TR001442NIAID NIH HHS 75N93019C00065NIAID NIH HHS K08 AI135078NIAID NIH HHS P30 AI036214NIAID NIH HHS R24 AI106039NIMH NIH HHS P30 MH062512
6 · The paper itself

Abstract

Reagents to monitor T cell responses to the entire HIV genome, based on well characterized epitopes, are missing. Evaluation of HIV-specific T cell responses is of importance to study natural infection, and therapeutic and vaccine interventions. Experimentally derived CD4+ and CD8+ HIV epitopes from the HIV molecular immunology database were developed into Class I and Class II HIV megapools (MPs). We assessed HIV responses in persons with HIV pre antiretroviral therapy (ART) (n = 17) and post-ART (n = 18) and compared these responses to 15 controls without HIV (matched by sex at birth, age, and ethnicity). Using the Activation Induced Marker (AIM) assay, we quantified HIV-specific total CD4+, memory CD4+, circulating T follicular helper, total CD8+ and memory CD8+ T cells. We also compared the Class I and Class II HIV MPs to commercially available HIV gag peptide pools. Overall, HIV Class II MP detected HIV-specific CD4+ T cells in 21/35 (60%) HIV positive samples and 0/15 HIV negative samples. HIV Class I MP detected an HIV-specific CD8+ T cells in 17/35 (48.6%) HIV positive samples and 0/15 HIV negative samples. Our innovative HIV MPs are reflective of the entire HIV genome, and its performance is comparable to other commercially available peptide pools. Here, we detected HIV-specific CD4+ and CD8+ T cell responses in people on and off ART, but not in people without HIV.

Indexed as

HIV-1HIV InfectionsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesEpitopesHumansInfant, NewbornPeptidesEpitopesPeptides

Identifiers

PMID35972938
PMCPMC9380920
OpenAlexW4291993932

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.