Evidence map›Paper›PMID 41930333›Full record

ArticleMedComm2026

Microbiome-Based Clustering Identifies Glycemic Control-Related Subtypes in Youth With Recent-Onset Type 1 Diabetes.

Huiling Tan, Yu Ding, Zhaohe Gu, Xulin Wang, Jing Wang, Tian Wei, Xiaoya Zhang, Lanxin Pan, Yu Shi, Shiru Chang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Huiling TanDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Yu DingDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Zhaohe GuDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Xulin WangDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Jing WangDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Tian WeiDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Xiaoya ZhangDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Lanxin PanDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Yu ShiDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Shiru ChangDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.
Chuang GuoDepartment of Rheumatology and Immunology Institute of Endocrine and Metabolic Diseases The First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China Hefei Anhui China.
Jianping WengDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.ORCID https://orcid.org/0000-0002-7889-1697
Xueying ZhengDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.ORCID https://orcid.org/0000-0001-8395-9476
Tong YueDepartment of Endocrinology and Metabolism The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei Anhui China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D) in children exhibits substantial heterogeneity in glycemic control, yet the biological mechanisms underlying this variation remain unclear. We aimed to explore endotype heterogeneity in youth with recent-onset T1D using unsupervised clustering based on multi-omics data, and to identify associated molecular signatures and underlying mechanisms. In a discovery cohort of 69 children and adolescents with recent-onset T1D, unsupervised clustering of fecal metagenomic profiles revealed two robust subgroups distinguished by hemoglobin A1c (HbA1c) levels. The High-HbA1c group was enriched in

Indexed as

endotypeglycemic controlgut microbiotamachine learningmulti‐omicstype 1 diabetes

Identifiers

PMID41930333
PMCPMC13042609

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.