Evidence map›Paper›PMID 30792481›Full record

ArticleScientific reports2019

Single Cell Profiling Reveals PTEN Overexpression in Influenza-Specific B cells in Aging HIV-infected individuals on Anti-retroviral Therapy.

Lesley R de Armas, Suresh Pallikkuth, Li Pan, Stefano Rinaldi, Nicola Cotugno, Sarah Andrews, Rajendra Pahwa, Adrian B McDermott, Paolo Palma, Savita Pahwa

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Artificial Intelligence Applied toFrontiers in immunology · 2020
    Article
  13. Review
  14. Review
  15. The Role of PTEN in Innate and Adaptive Immunity.Cold Spring Harbor perspectives in medicine · 2019
    Review
  16. 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

10 authors at 3 institutions in 2 countries.

Lesley R de ArmasUniversity of Miami, Miller School of Medicine, Department of Microbiology and Immunology, Miami, Florida, USA.
Suresh PallikkuthUniversity of Miami, Miller School of Medicine, Department of Microbiology and Immunology, Miami, Florida, USA.
Li PanUniversity of Miami, Miller School of Medicine, Department of Microbiology and Immunology, Miami, Florida, USA.
Stefano RinaldiUniversity of Miami, Miller School of Medicine, Department of Microbiology and Immunology, Miami, Florida, USA.
Nicola CotugnoAcademic Department of Pediatrics (DPUO), Research Unit in Perinatal Infections, Children's Hospital Bambino Gesù, Rome, Italy.
Sarah AndrewsVaccine Research Center, NIAID-NIH, Bethesda, MD, USA.
Rajendra PahwaUniversity of Miami, Miller School of Medicine, Department of Microbiology and Immunology, Miami, Florida, USA.
Adrian B McDermottVaccine Research Center, NIAID-NIH, Bethesda, MD, USA.
Paolo PalmaAcademic Department of Pediatrics (DPUO), Research Unit in Perinatal Infections, Children's Hospital Bambino Gesù, Rome, Italy.
Savita PahwaUniversity of Miami, Miller School of Medicine, Department of Microbiology and Immunology, Miami, Florida, USA. spahwa@med.miami.edu.
University of Miami · USBambino Gesù Children's Hospital · ITNational Institutes of Health · US

Funding

University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALLAN E RODRIGUEZ · 2007 to 2026
$33.8M
Antibody Responses in HIV and AgingR01AI108472 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PAHWA, SAVITA · 2013 to 2017
$2.9M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) RO1AI108472NIAID NIH HHS P30 AI073961NIAID NIH HHS R01 AI108472
6 · The paper itself

Abstract

Memory B cells (MBC) respond to secondary antigen challenge to protect against infection and to boost immunity following vaccinations. Despite effective treatment, chronic HIV infection disturbs MBCs by reducing numbers and altering functionality due to hyper-activation and increased apoptosis leading to suboptimal antibody responses against common infectious agents. We used single cell gene expression analysis to evaluate antigen-specific memory B cells in peripheral blood of virally-suppressed HIV-infected individuals and healthy controls stratified by serum H1N1 antibody response 3 weeks post-administration of the seasonal trivalent inactivated influenza vaccine. We used a fluorescent probe to isolate influenza H1N1-specific B cells and a multiplexed and targeted RT-PCR approach to measure expression levels of 96 genes involved in B cell activation and function. Gene profiling revealed a 4-gene predictive signature containing the phosphoinositide-3 kinase (PI3K) inhibitor, PTEN, for identifying antigen-specific MBC from HIV-infected individuals compared to healthy controls. Gene co-expression analysis showed that in addition to overexpression of PTEN, there was increased co-expression of type I interferon-associated genes with PTEN on single cell level in HIV compared to controls. This study highlights the persistent defects in MBC from HIV-infected individuals and points to the PI3K signaling pathway as a target for potential immune intervention.

Indexed as

Up-RegulationAgedAgingAnti-HIV AgentsB-LymphocytesCase-Control StudiesFemaleGene Expression ProfilingHIV InfectionsHumansInfluenza A Virus, H1N1 SubtypeInfluenza VaccinesMaleMiddle AgedPTEN PhosphohydrolaseSingle-Cell AnalysisAnti-HIV AgentsInfluenza VaccinesPTEN PhosphohydrolasePTEN protein, human

Identifiers

PMID30792481
PMCPMC6385500
OpenAlexW2915789499

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.