Dataset Information

Detection of Differentially Expressed MicroRNAs in Rheumatic Heart Disease: miR-1183 and miR-1299 as Potential Diagnostic Biomarkers.

ABSTRACT: This study compared microRNA (miRNA) expression profiles between rheumatic heart disease (RHD) patients and healthy controls to investigate their differential expression and help elucidate their mechanisms of action. Microarray analysis was used to measure miRNA expression, and a total of 133 miRNAs were shown to be significantly upregulated in RHD patients compared with controls, including miR-1183 and miR-1299. A total of 137 miRNAs, including miR-4423-3p and miR-218-1-3p, were significantly downregulated in RHD patients. Quantitative real-time-PCR confirmed microarray findings for miR-1183 and miR-1299 in both tissue and plasma. Bioinformatic predictions were also made of differentially expressed miRNAs as biomarkers in RHD by databases and GO/pathway analysis. Furthermore, we investigated miR-1183 and miR-1299 expression in RHD patients with secondary pulmonary hypertension (PAH). Our findings identified an important role for miR-1299 as a direct regulator of RHD, while the observed difference in expression of miR-1183 between RHD-PAH patients with high or low pulmonary artery pressure suggests that miR-1183 overexpression may reflect pulmonary artery remodeling. miR-1183 and miR-1299 appear to play distinct roles in RHD pathogenesis accompanied by secondary PAH and could be used as potential biological markers for disease development.

SUBMITTER: Li N

PROVIDER: S-EPMC4619814 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Detection of Differentially Expressed MicroRNAs in Rheumatic Heart Disease: miR-1183 and miR-1299 as Potential Diagnostic Biomarkers.

Li Ni N Lian Jiangfang J Zhao Sheng S Zheng Dawei D Yang Xi X Huang Xiaoyan X Shi Xinbao X Sun Lebo L Zhou Qingyun Q Shi Huoshun H Xu Guodong G Incoom Enchill KoJo EK Zhou Jianqing J Shao Guofeng G

BioMed research international 20151011

This study compared microRNA (miRNA) expression profiles between rheumatic heart disease (RHD) patients and healthy controls to investigate their differential expression and help elucidate their mechanisms of action. Microarray analysis was used to measure miRNA expression, and a total of 133 miRNAs were shown to be significantly upregulated in RHD patients compared with controls, including miR-1183 and miR-1299. A total of 137 miRNAs, including miR-4423-3p and miR-218-1-3p, were significantly d ...[more]

PMID: 26539505

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Project description:BackgroundSpecific and sensitive diagnostic biomarkers for unstable angina (UA) are currently scarce. The diagnosis of UA usually relies on medical history and physician experience. This study aimed to analyze the expression profiles of microRNAs (miRNAs) in the serum extracellular vesicles (EVs) of UA patients, thus identifying potential diagnostic biomarkers of UA.MethodsThis study is a prospective study and participants were recruited randomly. A total of 142 patients with UA, 8 with non-ST-elevation myocardial infarction (NSTEMI), and 8 with stable angina (SA) at Nanjing Hospital of Traditional Chinese Medicine Affiliated with Nanjing University of Chinese Medicine from January 2019 to February 2022 were recruited. Fifty-eight healthy volunteers (HVs) were recruited to the control group during the same period. Differentially expressed miRNAs in serum exosomes of UA patients were first identified by high-throughput sequencing, followed by verification via quantitative reverse transcription polymerase chain reaction (qRT-PCR), and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Our findings aim to explore their diagnostic potentials in UA, and their biological functions, as well as the correlation between conventional biochemical indexes of UA.ResultsMiR-127, miR-150, and miR-145 were differentially expressed miRNAs in the serum EVs of 8 UA patients, 8 NSTEMI patients, 8 SA patients, and 8 HVs by high-throughput sequencing, which were downregulated in UA patients versus HVs. Moreover, the relative levels of differentially expressed miRNAs in the serum EVs of the remaining UA patients and HVs were measured by qRT-PCR. The area under the curve of miR-127, miR-150, and miR-145 in distinguishing UA patients from HVs was 0.872, 0.856, and 0.803, respectively. Notably, the area under the curve of the combination of the three differentially expressed miRNAs for diagnosing UA was 0.944. A GO analysis revealed that miR-127, miR-150, and miR-145 were mainly enriched in cell adhesion and migration, whereas KEGG pathway enrichment analysis showed that they were enriched in the PI3K-Akt, MAPK, and Hippo signaling pathways. Multivariable logistic regression analysis identified cardiac troponin I (cTnI) (P=0.0006), miR-127 (P=0.0001), miR-150 (P=0.0004), and miR-145 (P=0.0005) as independent risk factors for UA. Spearman's rank correlation test showed a significant correlation between cTnI and miR-127 (r=0.1988, P=0.0067).ConclusionsMiR-127, miR-150, and miR-145 in serum EVs are closely linked with UA and serve as novel diagnostic biomarkers.

Dataset Information

Detection of Differentially Expressed MicroRNAs in Rheumatic Heart Disease: miR-1183 and miR-1299 as Potential Diagnostic Biomarkers.

Publications

Detection of Differentially Expressed MicroRNAs in Rheumatic Heart Disease: miR-1183 and miR-1299 as Potential Diagnostic Biomarkers.

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