Evidence map›Paper›PMID 37111057›Full record

ArticleNutrients2023

Identification of Metabolism-Related Proteins as Biomarkers of Insulin Resistance and Potential Mechanisms of m

Yan-Ling Li, Long Li, Yu-Hong Liu, Li-Kun Hu, Yu-Xiang Yan

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
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  9. The mFrontiers in endocrinology · 2024
    Review
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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 at 1 institution in 1 country.

Yan-Ling LiDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Long LiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Yu-Hong LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Li-Kun HuDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Yu-Xiang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Capital Medical University · CN

Funding

the Beijing Municipal Natural Science Foundation 7162020the National Natural Science Foundation 81573214the National Natural Science Foundation 8177351
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) is a major contributing factor to the pathogenesis of metabolic syndrome and type 2 diabetes mellitus (T2D). Adipocyte metabolism is known to play a crucial role in IR. Therefore, the aims of this study were to identify metabolism-related proteins that could be used as potential biomarkers of IR and to investigate the role of N

methodsRNA-seq data on human adipose tissue were retrieved from the Gene Expression Omnibus database. The differentially expressed genes of metabolism-related proteins (MP-DEGs) were screened using protein annotation databases. Biological function and pathway annotations of the MP-DEGs were performed through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. Key MP-DEGs were screened, and a protein-protein interaction (PPI) network was constructed using STRING, Cytoscape, MCODE, and CytoHubba. LASSO regression analysis was used to select primary hub genes, and their clinical performance was assessed using receiver operating characteristic (ROC) curves. The expression of key MP-DEGs and their relationship with m

resultsIn total, 69 MP-DEGs were screened and annotated to be enriched in pathways related to hormone metabolism, low-density lipoprotein particle and carboxylic acid transmembrane transporter activity, insulin signaling, and AMPK signaling. The MP-DEG PPI network comprised 69 nodes and 72 edges, from which 10 hub genes (

conclusionMetabolism-related proteins play critical roles in IR. Moreover,

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkersComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansMethyltransferasesAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkersFTO protein, humanMethyltransferasesMETTL16 protein, humanbioinformatics analysisinsulin resistancem6A modificationtype 2 diabetes

Identifiers

PMID37111057
PMCPMC10146912
OpenAlexW4365148334

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.