Evidence map›Paper›PMID 34028085›Full record

ArticleJournal of clinical laboratory analysis2021

Temporal and spatial characterization of negative regulatory T cells in HIV-infected/AIDS patients raises new diagnostic markers and therapeutic strategies.

Hui Chen, ChuanLu Ren, HuaFeng Song, Li-Ling Ma, Su-Fang Chen, Min-Juan Wu, HuiDan Zhang, Jun-Chi Xu, Ping Xu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 44% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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 2 institutions in 2 countries.

Hui ChenCentral Lab, The Fifth People's Hospital of Suzhou, Suzhou, China.ORCID https://orcid.org/0000-0001-5834-1797
ChuanLu RenDepartment of Laboratory, Hospital of CPLA, Suzhou, China.
HuaFeng SongCentral Lab, The Fifth People's Hospital of Suzhou, Suzhou, China.
Li-Ling MaCentral Lab, The Fifth People's Hospital of Suzhou, Suzhou, China.
Su-Fang ChenCentral Lab, The Fifth People's Hospital of Suzhou, Suzhou, China.
Min-Juan WuCentral Lab, The Fifth People's Hospital of Suzhou, Suzhou, China.
HuiDan ZhangJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Jun-Chi XuCentral Lab, The Fifth People's Hospital of Suzhou, Suzhou, China.ORCID https://orcid.org/0000-0002-1447-7593
Ping XuCentral Lab, The Fifth People's Hospital of Suzhou, Suzhou, China.
The Fifth People’s Hospital of Suzhou · CNHarvard University · US

Funding

National Natural Science Foundation, China 81900577Natural Fund of Jiangsu Province, China BZ2019017Science and Technology Plan of Suzhou, China SS2019074Science and Technology Plan of Suzhou, China SYS2018079Science and Technology Plan of Suzhou, China SYS2020190Science and Technology Plan of Suzhou, China SYS2020192Suzhou Gusu Health Talents Program of Suzhou GSWS2019067Young Medical Talents Program of Jiangsu QNRC2016225
6 · The paper itself

Abstract

backgroundNegative regulatory T cells (Tregs) not only deplete effector T cells but also inhibit the clearance of HIV during infection, which may allow Tregs to be used as informative diagnostic markers. To facilitate both diagnosis and treatment, a thorough understanding of these regulators by characterizing them on temporal and spatial scales is strongly required.

methodsHundred HIV-infected/AIDS patients, including 87 males, with an average age of 35.8 years, as well as 20 healthy controls, were enrolled. Flow cytometry was used to analyze CD3+T cells, CD4+T cells, and CD8+T cells to evaluate the immune status of the participants. Then, a group of representative negative regulatory T cells, including CD4+PD-1+T cells, CD4+PD-1

resultsThe percentages of CD4

conclusionsThis study characterized negative regulatory T cells in HIV-infected/AIDS patients at both temporal and spatial scales and found that CD4

Indexed as

Acquired Immunodeficiency SyndromeAdolescentAdultAgedBiomarkersCD4 AntigensFemaleHumansInterleukin-2 Receptor alpha SubunitLymphocyte SubsetsMaleMiddle AgedTime FactorsT-Lymphocytes, RegulatoryYoung AdultBiomarkersCD4 AntigensInterleukin-2 Receptor alpha SubunitAIDSCD4+CD25+TregCD4+PD-1+T celldiagnostic markernegative regulatory T cells

Identifiers

PMID34028085
PMCPMC8275003
OpenAlexW3164552881

What OpenQuestion holds

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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.