Evidence map›Paper›PMID 30568654›Full record

Trial reportFrontiers in immunology2018

Multivariate Computational Analysis of Gamma Delta T Cell Inhibitory Receptor Signatures Reveals the Divergence of Healthy and ART-Suppressed HIV+ Aging.

Anna C Belkina, Alina Starchenko, Katherine A Drake, Elizabeth A Proctor, Riley M F Pihl, Alex Olson, Douglas A Lauffenburger, Nina Lin, Jennifer E Snyder-Cappione

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. FromFrontiers in immunology · 2025
    Review
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  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Maternal HIV infection drives altered placentalFrontiers in microbiology · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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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

9 authors at 3 institutions in 1 country.

Anna C BelkinaFlow Cytometry Core Facility, Boston University School of Medicine, Boston, MA, United States.
Alina StarchenkoDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.
Katherine A DrakeCytobank, Inc., Santa Clara, CA, United States.
Elizabeth A ProctorDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.
Riley M F PihlFlow Cytometry Core Facility, Boston University School of Medicine, Boston, MA, United States.
Alex OlsonDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States.
Douglas A LauffenburgerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.
Nina LinDepartment of Medicine, Boston University School of Medicine, Boston, MA, United States.
Jennifer E Snyder-CappioneFlow Cytometry Core Facility, Boston University School of Medicine, Boston, MA, United States.
Boston University · USMassachusetts Institute of Technology · USCytobank (United States) · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
TRAINING GRANTS IN ENVIROMENTAL TOXICOLOGYT32ES007020 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ESSIGMANN, JOHN M · 1985 to 2024
$13.1M
Persistent HIV expression induced type I IFN responses and inflammagingR01AG060890 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GUMMULURU, SURYARAM, LIN, NINA H. · 2018 to 2022
$3.8M
Inflammation in human obesity and type 2 diabetesR01DK108056 · NIDDK · UNIVERSITY OF KENTUCKY · PI LAUFFENBURGER, DOUGLAS A, NIKOLAJCZYK, BARBARA · 2016 to 2019
$2.6M
Accelerating Multi-modal Biomarker Discovery in Translational Research with Cloud Data IntegrationR44GM117914 · NIGMS · CYTOBANK, INC. · PI CRAFORD, DAVID · 2018 to 2019
$1.3M
NIAID NIH HHS P30 AI042853NIA NIH HHS R01 AG060890NIDDK NIH HHS R01 DK108056NIEHS NIH HHS T32 ES007020
6 · The paper itself

Abstract

Even with effective viral control, HIV-infected individuals are at a higher risk for morbidities associated with older age than the general population, and these serious non-AIDS events (SNAEs) track with plasma inflammatory and coagulation markers. The cell subsets driving inflammation in aviremic HIV infection are not yet elucidated. Also, whether ART-suppressed HIV infection causes premature induction of the inflammatory events found in uninfected elderly or if a novel inflammatory network ensues when HIV and older age co-exist is unclear. In this study we measured combinational expression of five inhibitory receptors (IRs) on seven immune cell subsets and 16 plasma markers from peripheral blood mononuclear cells (PBMC) and plasma samples, respectively, from a HIV and Aging cohort comprised of ART-suppressed HIV-infected and uninfected controls stratified by age (≤35 or ≥50 years old). For data analysis, multiple multivariate computational algorithms [cluster identification, characterization, and regression (CITRUS), partial least squares regression (PLSR), and partial least squares-discriminant analysis (PLS-DA)] were used to determine if immune parameter disparities can distinguish the subject groups and to investigate if there is a cross-impact of aviremic HIV and age on immune signatures. IR expression on gamma delta (γδ) T cells exclusively separated HIV+ subjects from controls in CITRUS analyses and secretion of inflammatory cytokines and cytotoxic mediators from γδ T cells tracked with TIGIT expression among HIV+ subjects. Also, plasma markers predicted the percentages of TIGIT+ γδ T cells in subjects with and without HIV in PSLR models, and a PLS-DA model of γδ T cell IR signatures and plasma markers significantly stratified all four of the subject groups (uninfected younger, uninfected older, HIV+ younger, and HIV+ older). These data implicate γδ T cells as an inflammatory driver in ART-suppressed HIV infection and provide evidence of distinct "inflamm-aging" processes with and without ART-suppressed HIV infection.

Indexed as

AgingAlgorithmsHIV-1HIV InfectionsIntraepithelial LymphocytesReceptors, Antigen, T-Cell, gamma-deltaAdultAnti-Retroviral AgentsBiomarkersHumansMiddle AgedModels, ImmunologicalAnti-Retroviral AgentsBiomarkersReceptors, Antigen, T-Cell, gamma-deltaagingcheckpoint inhibitioncitrusHIVimmune exhaustioninflammationTIGITγδ T cell

Identifiers

PMID30568654
PMCPMC6290897
OpenAlexW2951160886

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.