Evidence map›Paper›PMID 39777226›Full record

ArticleFrontiers in endocrinology2024

How do immune cells shape type 1 diabetes? Insights from Mendelian randomization.

Yunfeng Yu, Xinyu Yang, Juan Deng, Jingyi Wu, Siyang Bai, Rong Yu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. (TCRαβCells · 2025
    Review
  3. 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.

Yunfeng Yu *School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Xinyu Yang *School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Juan Deng *Department of Endocrinology, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Jingyi WuThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Siyang BaiSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Rong YuSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The role of immune cells in type 1 diabetes (T1D) is unclear. The aim of this study was to assess the causal effect of different immune cells on T1D using Mendelian randomization (MR). Methods: A dataset of immune cell phenotypes (numbered from GCST0001391 to GCST0002121) was obtained from the European Bioinformatics Institute, while a T1D dataset (numbered finngen_R10_T1D) was obtained from FinnGen. Single nucleotide polymorphisms meeting the conditions were screened stepwise according to the assumptions of association, independence, and exclusivity. Inverse variance weighted was used as the main method for the MR analysis. MR-Egger was used to assess the horizontal pleiotropy of the results. Cochran's Results: MR analysis showed that effector memory (EM) double-negative (DN) (CD4 Conclusion: The MR analysis demonstrated that seven immune cell phenotypes were associated with an increased genetic susceptibility to T1D. These findings provide a new direction for the pathogenesis of and the drug development for T1D.

Indexed as

Diabetes Mellitus, Type 1Mendelian Randomization AnalysisPolymorphism, Single NucleotideDendritic CellsGenetic Predisposition to DiseaseHumansGWASimmune cellMendelian randomizationphenotypetype 1 diabetes

Identifiers

PMID39777226
PMCPMC11703746

What Socratic holds

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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 Socratic graph.