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1.
Curr Genomics ; 20(5): 340-348, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32476991

RESUMO

BACKGROUND: In the current study, we aimed to analyze the hypothesis that human myocardial-specific extracellular RNAs expression could be used for acute myocardial injury(AMI) diagnosis. METHODOLOGY: We used bioinformatics' analysis to identify RNAs linked to ubiquitin system and specific to AMI, named, (lncRNA-RP11-175K6.1), (LOC101927740), microRNA-106b-5p (miR-106b-5p) and Anaphase, promoting complex 11 (ANapc11mRNA). We measured the serum expression of the chosen RNAs in 69 individuals with acute coronary syndromes, 31 individuals with angina pectoris without MI and non-cardiac chest pain and 31 healthy control individuals by real-time reverse-transcription PCR. RESULTS: Our study revealed a significant decrease in both lncRNA-RP11-175K6.1 and ANapc11mRNA expression of in the sera samples of AMI patients compared to that of the two control groups alongside with significant upregulation of miR-106b-5p. CONCLUSION: Of note, the investigated serum RNAs decrease the false discovery rate of AMI to 3.2%.

2.
J Cell Biochem ; 120(3): 3203-3211, 2019 03.
Artigo em Inglês | MEDLINE | ID: mdl-30362153

RESUMO

AIM AND BACKGROUND: Malignant pleural mesothelioma (MPM) is a lethal cancer mainly caused by chronic exposure of asbestos. In this pilot study, we aimed to assess the expression of serum RNA-based biomarker panel exploring their clinical utility as diagnostic and prognostic biomarkers for MPM. METHODS: We have selected an MPM-specific RNA-based biomarker panel through bioinformatics analysis based on the integration of DNA damage regulated autophagy modulator 1 (DRAM1) and arylsulfatase A ( ARSA) gene expression with their epigenetic regulators microRNA ( miR-2053) and long noncoding RNA ( lncRNA-RP1-86D1.3). Then, quantitative real-time polymerase chain reaction (qPCR) validation in sera of 60 MPM patients, 20 chronic asbestos exposure patients, and 20 healthy volunteers was done. Lastly, the prognostic power of the selected panel was assessed. RESULTS: The expression of serum DRAM1 messenger RNA (mRNA), ARSA mRNA, hsa-miR-2053 and lncRNA-RP1-86D1.3 were positive in 78.3%, 90%, 85%, and 83.3% of MPM patients, respectively. The RNA-based biomarker panel was able to discriminate between MPM patients and controls with high accuracy and their combined sensitivity reached 100% for the diagnosis of MPM. Kaplan-Meier analysis showed that hsa-miR-2053 is an independent prognostic factor of MPM. CONCLUSION: Our preliminary data revealed that the chosen RNAs play an important role in driving MPM development and progression.


Assuntos
Cerebrosídeo Sulfatase/sangue , Neoplasias Pulmonares/sangue , Proteínas de Membrana/sangue , Mesotelioma/sangue , MicroRNAs/sangue , Neoplasias Pleurais/sangue , RNA Longo não Codificante/sangue , Feminino , Regulação Neoplásica da Expressão Gênica/genética , Humanos , Modelos Lineares , Masculino , Mesotelioma Maligno , Reação em Cadeia da Polimerase em Tempo Real
3.
Gene ; 675: 54-61, 2018 Oct 30.
Artigo em Inglês | MEDLINE | ID: mdl-29960068

RESUMO

With the advent of recent advances in molecular techniques and whole genome sequencing, we have come to know that the non-coding landscape (including non-coding RNAs, tRNAs and even telomeres) plays a major role in the regulation of cellular processes. Furthermore, the deregulation of this landscape has been found to contribute to and even bring about the pathogenesis of a large number of diseases. One of such diseases is diabetes mellitus (type 2 specifically) whose incidence rate and global burden is constantly increasing. Nutrition has been proven to be a key player in the development, onset and control of type 2 diabetes mellitus. Additionally, non-coding DNA based molecular markers are emerging as biomarkers of T2D, susceptibility, and perhaps dietary supplements can modulate non-coding DNA based markers expression and function in T2D management. In this review, we provide a brief overview of the developmental origins and genetics of type 2 diabetes mellitus, how each component of the non-coding landscape contributes to the development and progression of the disease and finally we discuss how dietary interventions modulate the non-coding landscape in T2D.


Assuntos
Diabetes Mellitus Tipo 2/genética , Fenômenos Fisiológicos da Nutrição , RNA de Transferência/genética , RNA não Traduzido/genética , Telômero/genética , Epigênese Genética/fisiologia , Interação Gene-Ambiente , Humanos , Estado Nutricional
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