Evidence mapPaperPMID 40789901Full record

ArticleScientific reports2025

Exploration of autophagy-associated genes and potential molecular mechanisms in type 1 diabetes and osteoporosis.

Houyuan Wang, JiaCong Xiao, Caixia Fu, JIzhi Ma, Ziwei Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Houyuan WangThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
JiaCong XiaoThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Caixia FuGuilin Municipal Hospital of Traditional Chinese Medicine, Guilin, China.
JIzhi MaThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ziwei JiangThe First Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China. doctor_ZiweiJiang@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The co-occurrence of osteoporosis (OP) and type 1 diabetes mellitus (T1DM) represents a clinically significant comorbidity pattern, characterized by skeletal fragility and insulin deficiency. While epidemiological links exist, their shared molecular mechanisms remain undefined. This study investigates autophagy-a critical cellular degradation pathway-as a potential mechanistic bridge between OP and T1DM pathogenesis. We integrated multi-omics approaches using GEO datasets to identify autophagy- associated hub genes. Machine learning (LASSO/Random Forest) prioritized CPNE1 and FRAT2, validated through ROC curve analysis. Functional annotation via GO/KEGG enrichment analyses revealed enrichment in disease-associated pathways, corroborated by immune infiltration profiling and single-cell RNA sequencing showing cell-type-specific expression patterns. miRNA-gene regulatory networks further elucidated post-transcriptional control mechanisms. Our integrated analyses suggest that CPNE1 and FRAT2 may represent novel targets for combined diagnosis and therapy in OP and T1DM, where autophagic dysregulation could contribute to comorbid pathogenesis. These insights offer fresh perspectives for developing dual-disease management approaches.

Indexed as

AutophagyDiabetes Mellitus, Type 1OsteoporosisGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsMicroRNAsAutophagyBioinformatics analysisOsteoporosisType 1 diabetes mellitus

Identifiers

PMID40789901
PMCPMC12340000

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.