Evidence map›Paper›PMID 33088331›Full record

ArticleImmunity & ageing : I & A2020

Emergence of T cell immunosenescence in diabetic chronic kidney disease.

Yen-Ling Chiu, Wan-Chuan Tsai, Ruo-Wei Hung, I-Yu Chen, Kai-Hsiang Shu, Szu-Yu Pan, Feng-Jung Yang, Te-Tien Ting, Ju-Ying Jiang, Yu-Sen Peng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Immunity & ageing : I & A, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  4. T-Cell Senescence in Human Metabolic Diseases.Diabetes & metabolism journal · 2024
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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

11 authors at 6 institutions in 1 country.

Yen-Ling ChiuGraduate Program in Biomedical Informatics, Department of Computer Science and Engineering, College of Informatics, Yuan Ze University, Taoyuan, Taiwan.
Wan-Chuan TsaiDivision of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Ruo-Wei HungDivision of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
I-Yu ChenDivision of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Kai-Hsiang ShuDivision of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Szu-Yu PanDivision of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Feng-Jung YangDepartment of Medicine, National Taiwan University Hospital Yun Lin Branch, Douliu, Taiwan.
Te-Tien TingSchool of Big Data Management, Soochow University, Taipei, Taiwan.
Ju-Ying Jiang *Division of Endocrinology and Metabolism, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Yu-Sen Peng *Division of Nephrology, Department of Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Yi-Fang Chuang *Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Far Eastern Memorial Hospital · TWMing Chi University of Technology · TWNational Taiwan University · TWNational Taiwan University Hospital · TWNational Yang Ming Chiao Tung University · TWSoochow University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes is an important challenge given the worldwide epidemic and is the most important cause of end-stage renal disease (ESRD) in developed countries. It is known that patients with ESRD and advanced renal failure suffer from immunosenescence and premature T cell aging, but whether such changes develop in patients with less severe chronic kidney disease (CKD) is unclear.

method523 adult patients with type 2 diabetes were recruited for this study. Demographic data and clinical information were obtained from medical chart review. Immunosenescence, or aging of the immune system was assessed by staining freshly-obtained peripheral blood with immunophenotyping panels and analyzing cells using multicolor flow cytometry.

resultConsistent with previously observed in the general population, both T and monocyte immunosenescence in diabetic patients positively correlate with age. When compared to diabetic patients with preserved renal function (estimated glomerular filtration rate > 60 ml/min), patients with impaired renal function exhibit a significant decrease of total CD3

conclusionThe extent of immunosenescence is not significantly associated with proteinuria or glucose control in type 2 diabetic patients. T cells, especially the CD8

Indexed as

BMICKDDiabetesImmunosenescenceT cell

Identifiers

PMID33088331
PMCPMC7574244
OpenAlexW3093751917

What OpenQuestion holds

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LicenceCC BY
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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.