Longtao Yang , Lijie Zhang , Huiting Zhang , Jun Liu
{"title":"Application of omics-based biomarkers in substance use disorders","authors":"Longtao Yang , Lijie Zhang , Huiting Zhang , Jun Liu","doi":"10.1016/j.metrad.2023.100008","DOIUrl":null,"url":null,"abstract":"<div><p>Substance use disorder (SUD) is a type of addictive encephalopathy resulting from drug abuse, which leads to abnormal cerebral alterations indicating neurotoxicity that is manifested through various biomarkers. However, biological mechanisms underlying addiction are still not thoroughly explored. Omics approaches, including radiomics, connectomics, immunomics, transcriptomics, metabolomics, genomics, and proteomics, offer high-throughput means of discovering potential biological markers of SUDs. Nonetheless, omics research in addiction is dispersed, and summarization is needed to capture the general direction. This review provides an overview of omics application in SUDs and highlights dominant biomarkers that have been identified for predicting SUDs’ initiation, therapeutic responses, and targeting specific molecular targets of personalized treatment, which can help to improve the understanding of critical issues in drug addiction research.</p></div>","PeriodicalId":100921,"journal":{"name":"Meta-Radiology","volume":"1 1","pages":"Article 100008"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meta-Radiology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950162823000085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Substance use disorder (SUD) is a type of addictive encephalopathy resulting from drug abuse, which leads to abnormal cerebral alterations indicating neurotoxicity that is manifested through various biomarkers. However, biological mechanisms underlying addiction are still not thoroughly explored. Omics approaches, including radiomics, connectomics, immunomics, transcriptomics, metabolomics, genomics, and proteomics, offer high-throughput means of discovering potential biological markers of SUDs. Nonetheless, omics research in addiction is dispersed, and summarization is needed to capture the general direction. This review provides an overview of omics application in SUDs and highlights dominant biomarkers that have been identified for predicting SUDs’ initiation, therapeutic responses, and targeting specific molecular targets of personalized treatment, which can help to improve the understanding of critical issues in drug addiction research.