Evidence map›Paper›PMID 40490690›Full record

ArticleBMC endocrine disorders2025

Circulating miR-4454 as a potential biomarker for the diagnosis of T2DM and the prediction value of comorbidity and complications in T2DM.

Song Yang, Mei Wang, Qin Deng

Abstract read
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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Song YangDepartment of general practice, Hefei First People's Hospital, Hefei, 230031, China.
Mei WangDepartment of geriatrics, First People's Hospital of Zunyi City (the Third Affiliated Hospital of Zunyi Medical University), Zunyi, 563000, China.
Qin DengDepartment of Breast and Thyroid Surgery, The Second Affiliated Hospital of Chongqing Medical University, No. 74, Linjiang Road, Yuzhong District, Chongqing, 400010, China. dengqin8520@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveT2DM (type 2 diabetes mellitus) is a chronic metabolic disease that seriously affects human health. Abnormal expression of microRNAs has been reported to play an important role in disease diagnosis. This study aimed to investigate the predictive value of miR-4454 for T2DM and possible risk factors for comorbidity and complications (CC) of T2DM.

methodsBaseline information was collected from a total of 206 subjects including 109 T2DM patients (T2DM group) and 97 healthy individuals (healthy control group), and miR-4454 expression levels were assessed by qRT-PCR. A chi-squared test and a t-test were used to assess the difference in miR-4454 expression of T2DM and healthy subjects. The predictive value of miR-4454 on T2DM was evaluated by receiver operating characteristic (ROC). Potential risk factors for CC of T2DM were predicted by multivariate logistic regression analysis.

resultsSignificant downregulation of miR-4454 was observed in the T2DM group. The predictive value of miR-4454 for T2DM was verified by the ROC curve. MiR-4454 expression in the T2DM group was negatively correlated with fasting blood glucose (FBG), glycated hemoglobin (HbA1c), homeostasis model-insulin resistance index (HOMA-IR), total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C), and positively correlated with the levels of adiponectin (ADI) and peroxisome proliferator-activated receptor gamma (PPAR-γ). Multivariate logistic regression analysis suggested that miR-4454, FBG, HbA1c, HOMA-IR, TC, TG, and LDL-C could be considered risk factors for CC of T2DM.

conclusionsThe expression level of miR-4454 showed a diagnostic value for T2DM and could serve as a risk factor for the occurrence of CC in T2DM. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

BiomarkersDiabetes ComplicationsDiabetes Mellitus, Type 2MicroRNAsAdultAgedBlood GlucoseCase-Control StudiesComorbidityFemaleFollow-Up StudiesHumansInsulin ResistanceMaleMiddle AgedPredictive Value of TestsBiomarkersBlood GlucoseMicroRNAsAdverse outcomeDiagnostic valuemiR-4454T2DM

Identifiers

PMID40490690
PMCPMC12147240

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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.