Literature DB >> 31583475

Circulating miR-103 family as potential biomarkers for type 2 diabetes through targeting CAV-1 and SFRP4.

Mao Luo1,2, Chunrong Xu1,2, Yulin Luo3, Gang Wang1,2, Jianbo Wu1,2, Qin Wan4.   

Abstract

AIMS: MicroRNA-103 (miR-103) family plays important roles in regulating glucose homeostasis in type 2 diabetes mellitus (DM2). However, the underlying mechanisms remain poorly characterized. The objective of this study was to test the hypothesis that circulating miR-103a and miR-103b, which regulate CAV-1 and SFRP4, respectively, are novel biomarkers for diagnosis of DM2.
METHODS: We determined the predictive potential of circulating miR-103a and miR-103b in pre-DM subjects (pre-DM), noncomplicated diabetic subjects, and normal glucose-tolerance individuals (control) using bioinformatic analysis, qRT-PCR, luciferase assays, and ELISA assays.
RESULTS: We found that both miR-103a and miR-103b had high complementarity and conservation, modulated reporter gene expression through seed sequences in the 3'UTRs of CAV-1 and SFRP4 mRNA, and negatively regulated their mRNA and protein levels, respectively. We also found that increased miR-103a and decreased miR-103a in plasma were significantly and negatively correlated with reduced CAV-1 levels and elevated SFRP4 levels in pre-DM and DM2, respectively, and were significantly associated with glucose metabolism, HbA1c levels, and other DM2 risk factors for progression from a normal individual to one with pre-DM. Furthermore, we demonstrated that the reciprocal changes in circulating miR-103a and miR-103b not only provided high sensitivity and specificity to differentiate the pre-DM population but also acted as biomarkers for predicting DM2 with high diagnostic value.
CONCLUSIONS: These findings suggest that circulating miR-103a and miR-103b may serve as novel biomarkers for diagnosis of DM2, providing novel insight into the mechanisms underlying pre-DM.

Entities:  

Keywords:  Caveolin-1; Circulating microRNA; Pre-diabetes; Secreted frizzled-related protein 4; Type 2 diabetes mellitus

Year:  2019        PMID: 31583475     DOI: 10.1007/s00592-019-01430-6

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  9 in total

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Authors:  Pads Palihaderu; Bilm Mendis; Jmkjk Premarathne; Wkrr Dias; Swee Keong Yeap; Wan Yong Ho; A S Dissanayake; I H Rajapakse; P Karunanayake; U Senarath; D A Satharasinghe
Journal:  Epigenet Insights       Date:  2022-10-15

2.  Baseline Assessment of Circulating MicroRNAs Near Diagnosis of Type 1 Diabetes Predicts Future Stimulated Insulin Secretion.

Authors:  Isaac Snowhite; Ricardo Pastori; Jay Sosenko; Shari Messinger Cayetano; Alberto Pugliese
Journal:  Diabetes       Date:  2020-12-04       Impact factor: 9.461

3.  MicroRNA-96-5p Facilitates the Viability, Migration, and Invasion and Suppresses the Apoptosis of Cervical Cancer Cells byNegatively Modulating SFRP4.

Authors:  Huiling Zhang; Ruxin Chen; Jinyan Shao
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

Review 4.  Secreted Frizzled Related Proteins in Cardiovascular and Metabolic Diseases.

Authors:  Hua Guan; Jin Zhang; Jing Luan; Hao Xu; Zhenghao Huang; Qi Yu; Xingchun Gou; Lixian Xu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-20       Impact factor: 5.555

Review 5.  Novel Biomolecules in the Pathogenesis of Gestational Diabetes Mellitus 2.0.

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Review 6.  A comprehensive overview on Micro RNA signature in type 2 diabetes Mellitus and its complications.

Authors:  Sanjukta Mishra; Jyotirmayee Bahinipati; RajLaxmi Sarangi; Soumya Ranjan Mohapatra; Swarnalata Das; Amaresh Mishra
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7.  Assessment of miR-103a-3p in leukocytes-No diagnostic benefit in combination with the blood-based biomarkers mesothelin and calretinin for malignant pleural mesothelioma diagnosis.

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Journal:  PLoS One       Date:  2022-10-14       Impact factor: 3.752

Review 8.  MicroRNA Signatures as Future Biomarkers for Diagnosis of Diabetes States.

Authors:  Srividya Vasu; Kenjiro Kumano; Carly M Darden; Irum Rahman; Michael C Lawrence; Bashoo Naziruddin
Journal:  Cells       Date:  2019-11-28       Impact factor: 6.600

Review 9.  Caveolin-1 Regulates Cellular Metabolism: A Potential Therapeutic Target in Kidney Disease.

Authors:  Shilu Luo; Ming Yang; Hao Zhao; Yachun Han; Na Jiang; Jinfei Yang; Wei Chen; Chenrui Li; Yan Liu; Chanyue Zhao; Lin Sun
Journal:  Front Pharmacol       Date:  2021-12-10       Impact factor: 5.810

  9 in total

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