Evidence map›Paper›PMID 18985383›Full record

ArticleMedical microbiology and immunology2009

Characterization of Gag and Nef-specific ELISpot-based CTL responses in HIV-1 infected Indian individuals.

Sanjay Mendiratta, Madhu Vajpayee, Uma Malhotra, Shweta Kaushik, Lalit Dar, Kamalika Mojumdar, Neeraj Kumar Chauhan, Vishnubhatla Sreenivas

Open access · bronzeAbstract read
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In one paragraph

Article in Medical microbiology and immunology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Sanjay MendirattaDepartment of Microbiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Madhu Vajpayee
Uma Malhotra
Shweta Kaushik
Lalit Dar
Kamalika Mojumdar
Neeraj Kumar Chauhan
Vishnubhatla Sreenivas
All India Institute of Medical Sciences · INFred Hutch Cancer Center · USUniversity of California System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytotoxic T lymphocyte (CTL) responses to Gag have been most frequently linked to control of viremia whereas CTL responses to Nef have direct relationship with viral load. IFN-gamma ELISpot assay was used to screen CTL responses at single peptide level directed at HIV-1 subtype C Gag and Nef proteins in 30 antiretroviral therapy naive HIV-1 infected Indian individuals. PBMCs from 73.3% and 90% of the study population showed response to Gag and Nef antigens, respectively. The magnitude of Gag-specific CTL responses was inversely correlated with plasma viral load (r = -0.45, P = 0.001), whereas magnitude of Nef-specific responses was directly correlated (r = 0.115). Thirteen immunodominant regions (6 in Gag, 7 in Nef) were identified in the current study. The identification of Gag and Nef-specific responses across HIV-1 infected Indian population and targeting epitopes from multiple immunodominant regions may provide useful insight into the designing of new immunotherapy and vaccines.

Indexed as

Viral LoadAdultCells, CulturedEnzyme-Linked Immunosorbent AssayEpitopes, T-LymphocyteFemalegag Gene Products, Human Immunodeficiency VirusHIV-1HIV InfectionsHumansImmunodominant EpitopesIndiaInterferon-gammaMalenef Gene Products, Human Immunodeficiency VirusPeptide FragmentsEpitopes, T-Lymphocytegag Gene Products, Human Immunodeficiency VirusImmunodominant EpitopesInterferon-gammainterferon gamma (1-39)nef Gene Products, Human Immunodeficiency Virusnef protein, Human immunodeficiency virus 1Peptide Fragments

Identifiers

PMID18985383
OpenAlexW2085655484

What OpenQuestion holds

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Registered trials

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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.