Evidence map›Paper›PMID 38539228›Full record

ArticleGenome medicine2024

Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes.

Mohammad Amin Honardoost, Andreas Adinatha, Florian Schmidt, Bobby Ranjan, Maryam Ghaeidamini, Nirmala Arul Rayan, Michelle Gek Liang Lim, Ignasius Joanito, Quy Xiao Xuan Lin, Deepa Rajagopalan and 7 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
17.1field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Endocrine-Metabolic Crosstalk Between Diabetes Mellitus and Hypothyroidism: From Network Mechanisms to Translational Stratification.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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

17 authors at 6 institutions in 3 countries.

Mohammad Amin HonardoostLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Andreas AdinathaLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Florian SchmidtLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Bobby RanjanLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Maryam GhaeidaminiLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Nirmala Arul RayanLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Michelle Gek Liang LimLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Ignasius JoanitoLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Quy Xiao Xuan LinLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Deepa RajagopalanLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Shi Qi MokIntegrated genomics platform, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
You Yi HwangSingapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Singapore, 138648, Singapore.
Anis LarbiSingapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Singapore, 138648, Singapore.
Chiea Chuen KhorIntegrated genomics platform, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
Roger FooCardiovascular Diseases Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
Bernhard Otto BoehmGenome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore. bernhard.o.boehm@mailbox.org.
Shyam PrabhakarLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore. prabhakars@gis.a-star.edu.sg.
Agency for Science, Technology and Research · SGGenome Institute of Singapore · SGSingapore Immunology Network · SGMonash University · AUNanyang Technological University · SGNational University of Singapore · SG

Funding

Agency for Science, Technology and Research 8/01/a0/020 froNational Medical Research Council IRG21jun-0090 fro
6 · The paper itself

Abstract

backgroundType 1 diabetes mellitus (T1DM) is a prototypic endocrine autoimmune disease resulting from an immune-mediated destruction of pancreatic insulin-secreting

methodsIn this cross-sectional analysis, we generated a single-cell transcriptomic dataset of peripheral blood mononuclear cells (PBMCs) from 46 manifest T1DM (stage 3) cases and 31 matched controls.

resultsWe surprisingly detected profound alterations in circulatory immune cells (1784 dysregulated genes in 13 immune cell types), far exceeding the count in the comparator systemic autoimmune disease SLE. Genes upregulated in T1DM were involved in WNT signaling, interferon signaling and migration of T/NK cells, antigen presentation by B cells, and monocyte activation. A significant fraction of these differentially expressed genes were also altered in T1DM pancreatic islets. We used the single-cell data to construct a T1DM metagene z-score (TMZ score) that distinguished cases and controls and classified patients into molecular subtypes. This score correlated with known prognostic immune markers of T1DM, as well as with drug response in clinical trials.

conclusionsOur study reveals a surprisingly strong systemic dimension at the level of immune cell network in T1DM, defines disease-relevant molecular subtypes, and has the potential to guide non-invasive test development and patient stratification.

Indexed as

Autoimmune DiseasesDiabetes Mellitus, Type 1Cross-Sectional StudiesHumansLeukocytes, MononuclearSingle-Cell Gene Expression AnalysisPeripheral blood mononuclear cells (PBMCs)Single-cell RNA sequencing (scRNA-seq)Type 1 diabetes mellitus (T1DM)

Identifiers

PMID38539228
PMCPMC10976681
OpenAlexW4393218996

What OpenQuestion holds

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LicenceCC BY
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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.