Evidence map›Paper›PMID 39104597›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Integrated Transcriptomics and Proteomics Identified CMPK1 as a Potential Biomarker for Type 2 Diabetes Mellitus.

Kang Zhao, Rui Mao, Wei Yi, Zhengyun Ren, Yanjun Liu, Huawu Yang, Senlin Wang, Zhonghui Feng

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. MIND diet-related plasma proteins are associated with Alzheimer's disease risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025
    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

8 authors.

Kang Zhao *Section for Day Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiao Tong University, Chengdu, 610031, People's Republic of China.
Rui Mao *Department of Dermatology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Wei YiCollege of Medicine, Southwest Jiaotong University, Chengdu, People's Republic of China.
Zhengyun RenCollege of Medicine, Southwest Jiaotong University, Chengdu, People's Republic of China.ORCID 0000-0001-5284-8976
Yanjun LiuCollege of Medicine, Southwest Jiaotong University, Chengdu, People's Republic of China.ORCID 0000-0001-5667-1047
Huawu YangCollege of Medicine, Southwest Jiaotong University, Chengdu, People's Republic of China.
Senlin WangCollege of Medicine, Southwest Jiaotong University, Chengdu, People's Republic of China.
Zhonghui FengCenter of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiao Tong University, Chengdu, Sichuan, People's Republic of China.ORCID 0009-0007-5533-7144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim/Introduction: Type 2 diabetes mellitus (T2DM) is one of the most frequent and widespread disease in the world.Obesity is the most significant predictor of T2DM, but the exact mechanism how obesity promotes T2DM remains unknown. Finding specific biomarkers to assist in diagnosing and treating patients with obese and T2DM is critical. Materials and Methods: We collected liver tissues from obesity patients with and without T2DM for proteomic sequencing and immunohistochemistry assay. Analysis Gene Ontology(GO) enrichment, Kyoto Encyclopedia of Genes and Genomes(KEGG), and protein interaction network (PPI) were performed on the parameters and data derived from the Tandem Mass Tags(TMT)-based proteomics analysis of liver tissues. Transcriptome data were downloaded from the Gene Expression Omnibus(GEO)website and genes that are deferentially expressed in both transcriptome and proteome were selected. Results: We identified 140 deferentially expressed proteins from proteomic sequencing. Six biomarkers were deferentially expressed in both proteome and transcriptome with consistent changes in direction. The protein-protein interaction (PPI) analysis suggested CMPK1, the expression with greatest difference, was the core protein among the six biomarkers. Immunohistochemistry validated CMPK1 was upregulated significantly in the liver tissues of T2DM patients. The correlation analysis revealed that the expression of CMPK1 was significantly associated with key molecules in T2DM-related pathways at both protein and transcriptome levels. Conclusion and Novelty: Our study showed CMPK1 was upregulated in the liver of T2DM patients and provides a possible new target for screening and diagnosing T2DM in patients with obese and a novel theoretical basis for the pathophysiological mechanism of obesity-related metabolic diseases.

Indexed as

CMPK1immunohistochemistryobesityproteomictranscriptomictype 2 diabetes mellitus

Identifiers

PMID39104597
PMCPMC11299646

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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.