Evidence map›Paper›PMID 39953543›Full record

ArticleDiabetology & metabolic syndrome2025

CircRNA-mediated ceRNA regulatory networks: transcriptomic insights into obesity type 2 diabetes progression and treatment strategies.

Xian-Jie Zhen, Ren-Tong Hu, Nan-Nan Liu, Jin-Fang Dou, Tao Wu, Yue-Lin Zhang, Chu-Yue Zhang, Li Ma, Guang-Jian Jiang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. 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

9 authors.

Xian-Jie Zhen *Diabetes Research Center, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Ren-Tong Hu *Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi, 533099, China.
Nan-Nan LiuDiabetes Research Center, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Jin-Fang DouDiabetes Research Center, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Tao WuDiabetes Research Center, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Yue-Lin ZhangDiabetes Research Center, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Chu-Yue ZhangDiabetes Research Center, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Li MaTraditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, 830000, China. malixj322122@163.com.
Guang-Jian JiangDiabetes Research Center, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China. bucmjiang@163.com.

Funding

Key Research and Development Project of Xinjiang Uygur Autonomous Region, China 2023B03002the Incubation Project for Major Scientific Research Programs of Xinjiang Medical University XYD2024ZX06the National Natural Science Foundation of China 82260931
6 · The paper itself

Abstract

The aim of this study was to deeply explore the pathogenesis of obesity type 2 diabetes mellitus (O-T2DM) and search for potential biomarkers through high-throughput RNA sequencing technology. The study included 15 patients with O-T2DM and 15 healthy controls, and peripheral blood samples were collected for transcriptome analysis. The results showed that compared with the control group, there were 442 circRNAs and 2756 mRNAs with significant differential expression in the O-T2DM group. Through weighted gene co-expression network analysis (WGCNA) and pathway enrichment analysis, it was found that the differentially expressed mRNAs were mainly enriched in signaling pathways such as T cell receptor, cell senescence, cytotoxicity mediated by NK cells, IL-17, lipids and atherosclerosis, and the oxidative phosphorylation pathway was activated, and apoptosis was inhibited. Based on the ceRNA theory, a regulatory network was constructed, and key circRNAs such as hsa_circ_0060614 were screened out, which may regulate the expression of the MT2A gene by adsorbing hsa-mir-4668-3p, and the expression levels of the three were significantly increased in O-T2DM patients. This study provides a new perspective for the research on the molecular mechanism of O-T2DM and an important theoretical basis for the development of personalized treatment and precision medicine for it.

Indexed as

ceRNAcircRNAO-T2DMqRT-PCR

Identifiers

PMID39953543
PMCPMC11827376

What Socratic 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 Socratic graph.