Circular RNA expression alteration identifies a novel circulating biomarker in serum exosomal for detection of alcohol dependence

Liu, Yunyun; Li, Jiande; Bu, Huanhuan; Wang, Hongxuan; Zhang, Yuanpei; Shen, Qingyu; Li, Mei; Lu, Zijing; Rong, Xiaoming; Zheng, Dong; Peng, Ying

doi:10.1111/adb.13031

Cited by 24 publications

(20 citation statements)

References 49 publications

(85 reference statements)

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“…EVs have been acknowledged as participants in almost all physiological and pathological processes (35,36). The biological properties and functions of exosomes make them become potential biomarkers (37)(38)(39). Meanwhile, in terms of capturing biological information of the donor cells, exosomes are more specific and accessible compared to conventional biomarkers (40,41).…”

Section: Discussionmentioning

confidence: 99%

Plasma Exosome-Derived MicroRNAs Panel: A Novel Predictor of Liver Injury in Cholecystitis Patients

Hou²,

Hui³

et al. 2022

Preprint

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Impaired liver function is one of the complications of acute cholecystitis, and improper treatment can lead to acute liver failure and even death. Therefore, timely evaluation of liver function provides a reliable basis for clinical diagnosis and treatment. However, no biomarkers have been identified to predict liver injury in patients with cholecystitis. Deep sequencing was used to analyze microRNA expression profiles in plasma exosomes from cholecystitis patients. Sequencing results were confirmed by quantitative real-time PCR (RT-qPCR). The findings demonstrated that biomarker panels consisting of multiple exosome-derived miRNAs improved the sensitivity of cholecystitis prediction. Further analysis revealed that hsa-miR-4440 and hsa-miR-6808-5p could specifically suggest the risk of early liver injury in patients with cholecystitis, with AUROCs of 0.895(95% CI: 0.764 to 1.025) and 0.804(95% CI: 0.6495 to 0.9589) respectively. Additionally, our GWAS analysis based on the results published by the FinnGen Biobank found that ALT was limitedly associated with cholecystitis, demonstrating the importance of our research into novel predictive biomarkers of early liver injury. Biomarker panels composed of multiple exosome-derived miRNAs could accurately predict cholecystitis. Furthermore, hsa-miR-4440 and hsa-miR-6808-5p could serve as early predictors of liver injury in patients with cholecystitis, thereby aiding in the selection of clinical treatment modalities.

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Section: Discussionmentioning

confidence: 99%

Plasma Exosome-Derived MicroRNAs Panel: A Novel Predictor of Liver Injury in Cholecystitis Patients

Hou²,

Hui³

et al. 2022

Preprint

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“…29,37 Circular RNAs are spliced endogenous RNAs that can potentially be used as diagnostic and prognostic biomarkers for disease. [38][39][40] Nevertheless, there were only a few studies have reported the diagnostic value of circRNAs in PCOS.…”

Section: Discussionmentioning

confidence: 99%

Identification of Three Potential circRNA Biomarkers of Polycystic Ovary Syndrome by Bioinformatics Analysis and Validation

Huang¹,

Du²,

Yuan³

et al. 2021

IJGM

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Objective It is well known that circRNAs are closely involved in the progression of various diseases. However, their functions and potential regulatory mechanisms in polycystic ovary syndrome (PCOS) remain largely unknown. In the present study, our aim was to investigate the potential diagnostic value of circRNAs in PCOS. Methods The circRNA dataset GSE145296, mRNA dataset GSE155489 and miRNA GSE138572 were downloaded from Gene Expression Omnibus (GEO) database. Then, differentially expressed genes (DEGs) were identified. Based on the potential interactions, a network of cirRNA-related competing endogenous RNAs (ceRNAs) was constructed. Biological functions were predicted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. For further validation, qRT-PCR method was used to detect the expression level of the candidate circRNAs. Then, receiver operating characteristics (ROC) were constructed to evaluate the diagnostic value of the three differentially expressed circRNA (DE-circRNA). Results We constructed a network of cirRNA-related ceRNA network. Hsa_circ_0075691, hsa_circ_0075692 and hsa_circ_0085997 were validate to be dysregulated in PCOS. Conclusion Hsa_circ_0075691, hsa_circ_0075692 and hsa_circ_0085997 may be potential diagnostic biomarkers of PCOS, but their specific regulatory mechanisms still need to be further studied.

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“…Transcriptome studies in the alcohol research field have revealed that alcohol use affects the expression patterns of hundreds of mRNAs and ncRNAs in the brain tissue of humans and animal models, e.g., see reviews and primary research articles (Contet, 2012;Nunez and Mayfield, 2012;Mayfield, 2017;Warden and Mayfield, 2017;Ferguson et al, 2019;Brenner et al, 2020;Drake et al, 2020). In addition to brain tissue, some studies have explored alcohol's effects in peripheral tissues including blood and saliva (Beech et al, 2012(Beech et al, , 2014Hicks et al, 2012;Kupfer et al, 2013;McClintick et al, 2014McClintick et al, , 2019Ignacio et al, 2015;Barr et al, 2016;Sureshchandra et al, 2016Sureshchandra et al, , 201910.3389/fnmol.2022.1032362 Ten Berg et al, 2018;Rosato et al, 2019;Lewis et al, 2021;Liu et al, 2021;Mead et al, 2021;Ferguson et al, 2022;Gong et al, 2022). These studies will be detailed in the following sections.…”

Section: Transcriptome Backgroundmentioning

confidence: 99%

“…Increasing evidence suggests that non-coding RNAs (ncRNAs) play a role in psychiatric disorders including AUD (Mayfield, 2017). The effects of alcohol on ncRNAs have been explored in both brain (Bohnsack et al, 2019;Drake et al, 2020) and peripheral tissues (Ignacio et al, 2015;Momen-Heravi et al, 2015;Barr et al, 2016;Sureshchandra et al, 2016Sureshchandra et al, , 2019Ten Berg et al, 2018;Rosato et al, 2019;Liu et al, 2021;Mead et al, 2021;Gong et al, 2022;Lewis et al, 2022). The studies identified in the literature search analyzed two types of ncRNAs in peripheral tissues: microRNAs and circRNAs.…”

Section: Non-coding Rnasmentioning

confidence: 99%

RNA biomarkers for alcohol use disorder

Ferguson

Mayfield

Messing

2022

Front. Mol. Neurosci.

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Alcohol use disorder (AUD) is highly prevalent and one of the leading causes of disability in the US and around the world. There are some molecular biomarkers of heavy alcohol use and liver damage which can suggest AUD, but these are lacking in sensitivity and specificity. AUD treatment involves psychosocial interventions and medications for managing alcohol withdrawal, assisting in abstinence and reduced drinking (naltrexone, acamprosate, disulfiram, and some off-label medications), and treating comorbid psychiatric conditions (e.g., depression and anxiety). It has been suggested that various patient groups within the heterogeneous AUD population would respond more favorably to specific treatment approaches. For example, there is some evidence that so-called reward-drinkers respond better to naltrexone than acamprosate. However, there are currently no objective molecular markers to separate patients into optimal treatment groups or any markers of treatment response. Objective molecular biomarkers could aid in AUD diagnosis and patient stratification, which could personalize treatment and improve outcomes through more targeted interventions. Biomarkers of treatment response could also improve AUD management and treatment development. Systems biology considers complex diseases and emergent behaviors as the outcome of interactions and crosstalk between biomolecular networks. A systems approach that uses transcriptomic (or other -omic data, e.g., methylome, proteome, metabolome) can capture genetic and environmental factors associated with AUD and potentially provide sensitive, specific, and objective biomarkers to guide patient stratification, prognosis of treatment response or relapse, and predict optimal treatments. This Review describes and highlights state-of-the-art research on employing transcriptomic data and artificial intelligence (AI) methods to serve as molecular biomarkers with the goal of improving the clinical management of AUD. Considerations about future directions are also discussed.

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Circular RNA expression alteration identifies a novel circulating biomarker in serum exosomal for detection of alcohol dependence

Cited by 24 publications

References 49 publications

Plasma Exosome-Derived MicroRNAs Panel: A Novel Predictor of Liver Injury in Cholecystitis Patients

Plasma Exosome-Derived MicroRNAs Panel: A Novel Predictor of Liver Injury in Cholecystitis Patients

Identification of Three Potential circRNA Biomarkers of Polycystic Ovary Syndrome by Bioinformatics Analysis and Validation

RNA biomarkers for alcohol use disorder

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