Circulating miR‐130 and its target PPAR‐γ may be potential biomarkers in patients of coronary artery disease with type 2 diabetes mellitus
Background Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them. Methods Fifty‐nine patients of CAD with DM2 (DM2‐CAD group), 79 patients of CAD without DM2 (CA...
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| Published in | Molecular genetics & genomic medicine Vol. 7; no. 9; pp. e909 - n/a |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
John Wiley & Sons, Inc
01.09.2019
John Wiley and Sons Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2324-9269 2324-9269 |
| DOI | 10.1002/mgg3.909 |
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| Abstract | Background
Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them.
Methods
Fifty‐nine patients of CAD with DM2 (DM2‐CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR‐130 (miR‐130a and miR‐130b) and PPAR‐γ (peroxisome proliferator‐activated receptor gamma) were measured and their Pearson correlation was analyzed. 3′ UTR binding prediction and luciferase assay were used to determine the target relationship between miR‐130 and PPAR‐γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR‐130 between DM2‐CAD and CAD groups.
Results
miR‐130a and miR‐130b showed decreased expression in DM2‐CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR‐130 could bind the 3′ UTR of PPAR‐γ. Furthermore, miR‐130 negatively correlated with PPAR‐γ in both CAD and DM2‐CAD group in Pearson's coefficient analysis. Both miR‐130a and miR‐130b were able to discriminate DM2‐CAD group from CAD group and control subjects.
Conclusion
Circulating miR‐130 may regulate the expression of PPAR‐γ and can be used as a biomarker to discriminate DM2‐CAD from CAD.
Both miR‐130a and miR‐130b were able to discriminate DM2‐CAD group from CAD group and control subjects. Circulating miR‐130 may regulate the expression of PPAR‐γ and can be used as a biomarker to discriminate DM2‐CAD from CAD. |
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| AbstractList | Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them.
Fifty-nine patients of CAD with DM2 (DM2-CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR-130 (miR-130a and miR-130b) and PPAR-γ (peroxisome proliferator-activated receptor gamma) were measured and their Pearson correlation was analyzed. 3' UTR binding prediction and luciferase assay were used to determine the target relationship between miR-130 and PPAR-γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR-130 between DM2-CAD and CAD groups.
miR-130a and miR-130b showed decreased expression in DM2-CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR-130 could bind the 3' UTR of PPAR-γ. Furthermore, miR-130 negatively correlated with PPAR-γ in both CAD and DM2-CAD group in Pearson's coefficient analysis. Both miR-130a and miR-130b were able to discriminate DM2-CAD group from CAD group and control subjects.
Circulating miR-130 may regulate the expression of PPAR-γ and can be used as a biomarker to discriminate DM2-CAD from CAD. Background Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them. Methods Fifty‐nine patients of CAD with DM2 (DM2‐CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR‐130 (miR‐130a and miR‐130b) and PPAR‐γ (peroxisome proliferator‐activated receptor gamma) were measured and their Pearson correlation was analyzed. 3′ UTR binding prediction and luciferase assay were used to determine the target relationship between miR‐130 and PPAR‐γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR‐130 between DM2‐CAD and CAD groups. Results miR‐130a and miR‐130b showed decreased expression in DM2‐CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR‐130 could bind the 3′ UTR of PPAR‐γ. Furthermore, miR‐130 negatively correlated with PPAR‐γ in both CAD and DM2‐CAD group in Pearson's coefficient analysis. Both miR‐130a and miR‐130b were able to discriminate DM2‐CAD group from CAD group and control subjects. Conclusion Circulating miR‐130 may regulate the expression of PPAR‐γ and can be used as a biomarker to discriminate DM2‐CAD from CAD. Both miR‐130a and miR‐130b were able to discriminate DM2‐CAD group from CAD group and control subjects. Circulating miR‐130 may regulate the expression of PPAR‐γ and can be used as a biomarker to discriminate DM2‐CAD from CAD. Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them.BACKGROUNDPatients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them.Fifty-nine patients of CAD with DM2 (DM2-CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR-130 (miR-130a and miR-130b) and PPAR-γ (peroxisome proliferator-activated receptor gamma) were measured and their Pearson correlation was analyzed. 3' UTR binding prediction and luciferase assay were used to determine the target relationship between miR-130 and PPAR-γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR-130 between DM2-CAD and CAD groups.METHODSFifty-nine patients of CAD with DM2 (DM2-CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR-130 (miR-130a and miR-130b) and PPAR-γ (peroxisome proliferator-activated receptor gamma) were measured and their Pearson correlation was analyzed. 3' UTR binding prediction and luciferase assay were used to determine the target relationship between miR-130 and PPAR-γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR-130 between DM2-CAD and CAD groups.miR-130a and miR-130b showed decreased expression in DM2-CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR-130 could bind the 3' UTR of PPAR-γ. Furthermore, miR-130 negatively correlated with PPAR-γ in both CAD and DM2-CAD group in Pearson's coefficient analysis. Both miR-130a and miR-130b were able to discriminate DM2-CAD group from CAD group and control subjects.RESULTSmiR-130a and miR-130b showed decreased expression in DM2-CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR-130 could bind the 3' UTR of PPAR-γ. Furthermore, miR-130 negatively correlated with PPAR-γ in both CAD and DM2-CAD group in Pearson's coefficient analysis. Both miR-130a and miR-130b were able to discriminate DM2-CAD group from CAD group and control subjects.Circulating miR-130 may regulate the expression of PPAR-γ and can be used as a biomarker to discriminate DM2-CAD from CAD.CONCLUSIONCirculating miR-130 may regulate the expression of PPAR-γ and can be used as a biomarker to discriminate DM2-CAD from CAD. Abstract Background Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them. Methods Fifty‐nine patients of CAD with DM2 (DM2‐CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR‐130 (miR‐130a and miR‐130b) and PPAR‐γ (peroxisome proliferator‐activated receptor gamma) were measured and their Pearson correlation was analyzed. 3′ UTR binding prediction and luciferase assay were used to determine the target relationship between miR‐130 and PPAR‐γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR‐130 between DM2‐CAD and CAD groups. Results miR‐130a and miR‐130b showed decreased expression in DM2‐CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR‐130 could bind the 3′ UTR of PPAR‐γ. Furthermore, miR‐130 negatively correlated with PPAR‐γ in both CAD and DM2‐CAD group in Pearson's coefficient analysis. Both miR‐130a and miR‐130b were able to discriminate DM2‐CAD group from CAD group and control subjects. Conclusion Circulating miR‐130 may regulate the expression of PPAR‐γ and can be used as a biomarker to discriminate DM2‐CAD from CAD. BackgroundPatients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them.MethodsFifty‐nine patients of CAD with DM2 (DM2‐CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR‐130 (miR‐130a and miR‐130b) and PPAR‐γ (peroxisome proliferator‐activated receptor gamma) were measured and their Pearson correlation was analyzed. 3′ UTR binding prediction and luciferase assay were used to determine the target relationship between miR‐130 and PPAR‐γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR‐130 between DM2‐CAD and CAD groups.ResultsmiR‐130a and miR‐130b showed decreased expression in DM2‐CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR‐130 could bind the 3′ UTR of PPAR‐γ. Furthermore, miR‐130 negatively correlated with PPAR‐γ in both CAD and DM2‐CAD group in Pearson's coefficient analysis. Both miR‐130a and miR‐130b were able to discriminate DM2‐CAD group from CAD group and control subjects.ConclusionCirculating miR‐130 may regulate the expression of PPAR‐γ and can be used as a biomarker to discriminate DM2‐CAD from CAD. |
| Author | Xu, Zesheng Yuan, Yonggang Peng, Wanzhong Liu, Yongxing |
| AuthorAffiliation | 1 Department of Cardiology Cangzhou Central Hospital Cangzhou Hebei China |
| AuthorAffiliation_xml | – name: 1 Department of Cardiology Cangzhou Central Hospital Cangzhou Hebei China |
| Author_xml | – sequence: 1 givenname: Yonggang surname: Yuan fullname: Yuan, Yonggang organization: Cangzhou Central Hospital – sequence: 2 givenname: Wanzhong surname: Peng fullname: Peng, Wanzhong organization: Cangzhou Central Hospital – sequence: 3 givenname: Yongxing surname: Liu fullname: Liu, Yongxing organization: Cangzhou Central Hospital – sequence: 4 givenname: Zesheng orcidid: 0000-0001-7090-6308 surname: Xu fullname: Xu, Zesheng email: xuzeshengc@sina.com organization: Cangzhou Central Hospital |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31368668$$D View this record in MEDLINE/PubMed |
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Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few... Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers... BackgroundPatients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few... Abstract Background Patients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2,... |
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| SubjectTerms | 3' Untranslated regions Aged Bioinformatics biomarker Biomarkers Biomarkers - blood Cardiovascular disease Cell-Free Nucleic Acids - blood Cholesterol Coronary artery Coronary artery disease Coronary Artery Disease - blood Coronary vessels Correlation analysis Diabetes Diabetes Complications - blood Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - blood Female Gene Expression Regulation Glucose Health risks Heart diseases Hemoglobin Humans Lipids Male Metabolism MicroRNAs MicroRNAs - blood Middle Aged miR‐130 Mortality Mortality risk Original Peroxisome proliferator-activated receptors PPAR gamma - biosynthesis PPAR‐γ Studies type 2 diabetes mellitus |
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| Title | Circulating miR‐130 and its target PPAR‐γ may be potential biomarkers in patients of coronary artery disease with type 2 diabetes mellitus |
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