Palaniswamy Ramaswamy, Athira S V, Pratibha Misra, V S Chauhan, Arka Adhvaryu, Anurodh Gupta, Ankita G, Sibin M K
{"title":"Circulating microRNA profiling identifies microRNAs linked to prediabetes associated with alcohol dependence syndrome.","authors":"Palaniswamy Ramaswamy, Athira S V, Pratibha Misra, V S Chauhan, Arka Adhvaryu, Anurodh Gupta, Ankita G, Sibin M K","doi":"10.1016/j.alcohol.2024.01.003","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>MicroRNAs are abundant in serum and have emerged as important regulators of gene expression, implicating them in a wide range of diseases. The purpose of this study was to discover and validate serum miRNAs in prediabetes associated with alcohol dependence syndrome (ADS).</p><p><strong>Method: </strong>Serum samples from ADS patients with or without prediabetes and normoglycemic controls were subjected to microarray. Validation of identified candidate miRNAs was performed by RT-qPCR. Additionally, GO and KEGG pathway analyses were carried out to uncover target genes anticipated to be controlled by the candidate miRNAs.</p><p><strong>Results: </strong>Notably, 198, and 172 miRNAs were differentially expressed in ADS-patients with or without prediabetes compared to healthy controls, and 7 miRNAs in ADS-patients with prediabetes compared to ADS-normoglycemic patients, respectively. Furthermore, hsa-miR-320b and hsa-miR-3135b were differentially expressed exclusively in ADS-patients with prediabetes, and this was further validated. Interestingly, GO and KEGG pathway analysis revealed that genes predicted to be modulated by the candidates were considerably enriched in numerous diabetes-related biological processes and pathways.</p><p><strong>Conclusion: </strong>Our findings revealed that ADS-patients with or without prediabetes have different sets of miRNAs compared to normoglycemic healthy subjects. We propose serum hsa-miR-320b and hsa-miR-3135b as potential biomarkers for the diagnosis of prediabetes in ADS-patients.</p>","PeriodicalId":93864,"journal":{"name":"Alcohol (Fayetteville, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alcohol (Fayetteville, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.alcohol.2024.01.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: MicroRNAs are abundant in serum and have emerged as important regulators of gene expression, implicating them in a wide range of diseases. The purpose of this study was to discover and validate serum miRNAs in prediabetes associated with alcohol dependence syndrome (ADS).
Method: Serum samples from ADS patients with or without prediabetes and normoglycemic controls were subjected to microarray. Validation of identified candidate miRNAs was performed by RT-qPCR. Additionally, GO and KEGG pathway analyses were carried out to uncover target genes anticipated to be controlled by the candidate miRNAs.
Results: Notably, 198, and 172 miRNAs were differentially expressed in ADS-patients with or without prediabetes compared to healthy controls, and 7 miRNAs in ADS-patients with prediabetes compared to ADS-normoglycemic patients, respectively. Furthermore, hsa-miR-320b and hsa-miR-3135b were differentially expressed exclusively in ADS-patients with prediabetes, and this was further validated. Interestingly, GO and KEGG pathway analysis revealed that genes predicted to be modulated by the candidates were considerably enriched in numerous diabetes-related biological processes and pathways.
Conclusion: Our findings revealed that ADS-patients with or without prediabetes have different sets of miRNAs compared to normoglycemic healthy subjects. We propose serum hsa-miR-320b and hsa-miR-3135b as potential biomarkers for the diagnosis of prediabetes in ADS-patients.