Long non-coding RNAs in bipolar disorder

IF 3.2 3区医学 Q2 MEDICAL LABORATORY TECHNOLOGY

Clinica Chimica Acta Pub Date : 2025-03-23 DOI:10.1016/j.cca.2025.120265

Seyyed Navid Mousavinejad , Felora Ferdosi , Siamand Abdolghaderi , Sheyda Shahpasand , Ehsan Dadgostar , Amir Asadi , Sanam Anoosheh , Seyyed Hossein Khatami

{"title":"Long non-coding RNAs in bipolar disorder","authors":"Seyyed Navid Mousavinejad , Felora Ferdosi , Siamand Abdolghaderi , Sheyda Shahpasand , Ehsan Dadgostar , Amir Asadi , Sanam Anoosheh , Seyyed Hossein Khatami","doi":"10.1016/j.cca.2025.120265","DOIUrl":null,"url":null,"abstract":"<div><div>Bipolar disorder is characterized by alternating episodes of mania or hypomania and depression, encompassing various forms such as cyclothymia, bipolar I disorder, and bipolar II disorder. Manic periods present with increased energy and decreased sleep, whereas depressive episodes involve poor energy and extended sleep duration. Despite the availability of treatments, approximately 30% of patients with bipolar disorder are drug resistant and require alternative strategies. Recent research highlights the role of long noncoding RNAs (lncRNAs) as potential biomarkers for bipolar disorder, aiding in distinguishing it from other mood disorders and improving diagnostic accuracy. LncRNAs such as GAS5 and FOXD3-AS1 are downregulated in bipolar disorder patients, suggesting their utility as diagnostic tools. LncRNAs regulate gene expression through interactions with DNA, RNA, and proteins, influencing various biological processes. Studies have identified several lncRNAs linked to bipolar disorder, including lincRNA-p21, lincRNA-ROR, and lincRNA-PINT. These findings underscore the potential of lncRNAs as biomarkers and therapeutic targets, facilitating more personalized treatment strategies. This review explores the diagnostic and therapeutic potential of lncRNAs in bipolar disorder, aiming to enhance the current understanding and management of this condition.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"572 ","pages":"Article 120265"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898125001445","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Bipolar disorder is characterized by alternating episodes of mania or hypomania and depression, encompassing various forms such as cyclothymia, bipolar I disorder, and bipolar II disorder. Manic periods present with increased energy and decreased sleep, whereas depressive episodes involve poor energy and extended sleep duration. Despite the availability of treatments, approximately 30% of patients with bipolar disorder are drug resistant and require alternative strategies. Recent research highlights the role of long noncoding RNAs (lncRNAs) as potential biomarkers for bipolar disorder, aiding in distinguishing it from other mood disorders and improving diagnostic accuracy. LncRNAs such as GAS5 and FOXD3-AS1 are downregulated in bipolar disorder patients, suggesting their utility as diagnostic tools. LncRNAs regulate gene expression through interactions with DNA, RNA, and proteins, influencing various biological processes. Studies have identified several lncRNAs linked to bipolar disorder, including lincRNA-p21, lincRNA-ROR, and lincRNA-PINT. These findings underscore the potential of lncRNAs as biomarkers and therapeutic targets, facilitating more personalized treatment strategies. This review explores the diagnostic and therapeutic potential of lncRNAs in bipolar disorder, aiming to enhance the current understanding and management of this condition.

查看原文本刊更多论文

双相情感障碍中的长链非编码rna

双相情感障碍的特征是躁狂或轻躁狂和抑郁交替发作，包括各种形式，如循环精神障碍、双相情感障碍I和双相情感障碍II。躁狂期表现为能量增加和睡眠减少，而抑郁期则表现为能量不足和睡眠时间延长。尽管有治疗方法，但大约30%的双相情感障碍患者具有耐药性，需要其他治疗策略。最近的研究强调了长链非编码rna （lncRNAs）作为双相情感障碍的潜在生物标志物的作用，有助于将其与其他情绪障碍区分开来并提高诊断准确性。GAS5和FOXD3-AS1等lncrna在双相情感障碍患者中下调，表明它们作为诊断工具的用途。LncRNAs通过与DNA、RNA和蛋白质的相互作用调控基因表达，影响多种生物过程。研究已经确定了几种与双相情感障碍相关的lncrna，包括lincRNA-p21、lincRNA-ROR和lincRNA-PINT。这些发现强调了lncrna作为生物标志物和治疗靶点的潜力，促进了更个性化的治疗策略。这篇综述探讨了lncrna在双相情感障碍中的诊断和治疗潜力，旨在提高当前对这种疾病的理解和管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Clinica Chimica Acta 医学-医学实验技术

CiteScore

10.10

自引率

2.00%

发文量

1268

审稿时长

23 days

期刊介绍： The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.