Evidence map›Paper›PMID 40811035›Full record

ArticleKidney3602026

Novel Molecular Signatures of Peripheral Regulatory T Cells in Kidney Disease Associated with Type 1 Diabetes.

Amita Bansal, Soon Wei Wong, Wilson K M Wong, Giles Best, Steven James, Sarah J Glastras, Alexia Pena, Cheng Xue Qin, Sih Min Tan, Devy Deliyanti and 3 more

Abstract read
In one paragraph

Article in Kidney360, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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. 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

13 authors.

Amita BansalSchool of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-8716-9922
Soon Wei WongRenal Unit, Division of Medicine and Critical Care, Southern Adelaide Local Health Network, Flinders Medical Centre, Bedford Park, South Australia, Australia.ORCID 0000-0002-7994-1836
Wilson K M WongDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID 0000-0001-7736-6834
Giles BestCollege of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0003-2685-3880
Steven JamesSchool of Health, University of the Sunshine Coast, Petrie, Queensland, Australia.
Sarah J GlastrasDepartment of Diabetes, Endocrinology and Metabolism, Royal North Shore Hospital, St Leonards, New South Wales, Australia.ORCID 0000-0002-9317-1348
Alexia PenaDiscipline of Paediatrics, The University of Adelaide and Robinson Research Institute, Adelaide, South Australia, Australia.ORCID 0000-0002-6834-4876
Cheng Xue QinDrug Discovery Biology Theme, Faculty of Pharmacy and Pharmaceutical Sciences, Monash Institute of Pharmaceutical Science, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-2169-2686
Sih Min TanDepartment of Medicine, Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-4195-0523
Devy DeliyantiDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-0390-3454
Darling M Rojas-CanalesRenal Unit, Division of Medicine and Critical Care, Southern Adelaide Local Health Network, Flinders Medical Centre, Bedford Park, South Australia, Australia.ORCID 0009-0005-1502-7024
Mugdha V JoglekarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID 0000-0001-5346-2266
Elif I EkinciDepartment of Medicine, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-2372-395

Funding

Juvenile Diabetes Research Foundation Australia 1-SRA-2020-972-M-N
6 · The paper itself

Abstract

key pointsRegulatory T cells (Tregs) from people (control, type 1 diabetes with and without albuminuria) were profiled for phenotypic and transcriptomic changes. Central memory Tregs were reduced, while Treg EMRA + cells were higher in type 1 diabetes with albuminuria. In silico findings suggest potential interactions between Treg ligand and kidney cell receptor at transcript level.

backgroundDiabetic kidney disease (DKD) is a common complication of type 1 diabetes (T1D). T1D and some kidney disorders are often associated with abnormalities in regulatory T cells (Tregs). However, it is unknown if Treg subsets and their molecular architecture are altered during the onset and progression of DKD in T1D.

methodsWe addressed this critical knowledge gap by characterizing changes in Tregs isolated from 31 participants (10 control, 13 with T1D, and eight T1D with albuminuria) using flow cytometry, RNA-sequencing, and microRNA profiling.

resultsWe identified that the effector and central memory Tregs were significantly different between groups. Similarly, multiple gene transcripts were also significantly different between groups that also overlapped with other publicly available datasets. Machine learning-based data analyses discovered a set of important microRNAs associated with clinical eGFR values. Importantly, our analyses identified two differentially expressed Treg ligand genes (leucine rich repeat containing 4B, transglutaminase-2), which interacted with the receptors on kidney cells (protein tyrosine phosphatase receptor type D/F/S, Adhesion G Protein-Coupled Receptor G1; a.k.a GPR56) in silico , providing potential mechanistic insights into the role of Tregs in DKD progression.

conclusionsTogether, our work supports the yet unappreciated role of Tregs in DKD and opens new research avenues to further consolidate their causal relationship.

Indexed as

AlbuminuriaDiabetes Mellitus, Type 1Diabetic NephropathiesT-Lymphocytes, RegulatoryAdultCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedTranscriptomeYoung AdultMicroRNAsdiabetesdiabetes mellituskidney diseaselymphocytestranscriptional profiling

Identifiers

PMID40811035
PMCPMC13065181

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.