Evidence map›Paper›PMID 35371066›Full record

ArticleFrontiers in immunology2022

Adenosinergic Pathway and Linked Suppression: Two Critical Suppressive Mechanisms of Human Donor Antigen Specific Regulatory T Cell Lines Expanded Post Transplant.

Sudipta Tripathi, Paloma L Martin-Moreno, George Kavalam, Brittany L Schreiber, Ana Maria Waaga-Gasser, Anil Chandraker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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 2 countries.

Sudipta TripathiRenal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Paloma L Martin-MorenoRenal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
George KavalamRenal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Brittany L SchreiberRenal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Ana Maria Waaga-GasserRenal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Anil ChandrakerRenal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Brigham and Women's Hospital · USHarvard University · USNavarre Institute of Health Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory T cells are an important component of an immune response shaping the overall behavior to potential antigens including alloantigens. Multiple mechanisms have been shown to contribute towards developing and sustaining a immunological regulatory response. One of the described contact dependent suppressive mechanisms regulatory cells have been shown to utilize is through the production of adenosine from extracellular ATP mediated by CD39 and CD73. In this study we demonstrate that the adenosinergic pathway plays a major role in the suppressive/regulatory effects antigen specific regulatory T cell enriched lines (ASTRLs) that have been of expanded

Indexed as

Leukocytes, MononuclearT-Lymphocytes, RegulatoryAdenosine TriphosphateAnimalsHumansIsoantigensTransplantation ToleranceAdenosine TriphosphateIsoantigensadenosinergic pathwayallo-antigen specific Tregscell therapykidney transplantationlinked suppression

Identifiers

PMID35371066
PMCPMC8968184
OpenAlexW4220977265

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.