Circulating hsa-let-7e-5p and hsa-miR-125a-5p as Possible Biomarkers in the Diagnosis of Major Depression and Bipolar Disorders.
Circulating hsa-let-7e-5p and hsa-miR-125a-5p as Possible Biomarkers in the Diagnosis of Major Depression and Bipolar Disorders.
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DOI：
10.1155/2022/3004338
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Adomaitiene V
中科院分区：
文献类型：
--
作者：
Gecys D;Dambrauskiene K;Simonyte S;Patamsyte V;Vilkeviciute A;Musneckis A;Butkute-Sliuoziene K;Lesauskaite V;Zemaitis L;Usaite D;Adomaitiene V
Evidence shows that microRNAs (miRNAs) could play a key role in the homeostasis and development of major depressive disorder and bipolar disorder. The present study is aimed at investigating the changes in circulating miRNA expression profiles in a plasma of patients suffering from major depressive disorder (MDD) and bipolar disorder (BD) to distinguish and evaluate these molecules as biomarkers for mood disorders. A study enrolled a total of 184 subjects: 74 controls, 84 MDD patients, and 26 BD patients. Small RNA sequencing revealed 11 deregulated circulating miRNAs in MDD and BD plasma, of which expression of 5, hsa-miR-139-3p, miRNAs hsa-let-7e-5p, hsa-let-7f-5p, hsa-miR-125a-5p, and hsa-miR-483-5p, were further verified using qPCR. miRNA gene expression data was evaluated alongside the data from clinical assessment questionnaires. hsa-let-7e-5p and hsa-miR-125a-5p were both confirmed upregulated: 0.75-fold and 0.25-fold, respectively, in the MDD group as well as 1.36-fold and 0.68-fold in the BD group. Receiver operating curve (ROC) analysis showed mediocre diagnostic sensitivity and specificity of both hsa-let-7e-5p and hsa-miR-125a-5p with approximate area under the curve (AOC) of 0.66. ROC analysis of combined miRNA and clinical assessment data showed that hsa-let-7e-5p and hsa-miR-125a-5p testing could improve MDD and BD diagnostic accuracy by approximately 10%. Circulating hsa-let-7e-5 and hsa-miR-125a-5p could serve as additional peripheral biomarkers for mood disorders; however, suicidal ideation remains the major diagnostic factor for MDD and BD.
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影响因子：
48
作者：
Langmead, Ben;Salzberg, Steven L.
通讯作者：
Salzberg, Steven L.
影响因子：
12.3
作者：
Doherty JL;Owen MJ
通讯作者：
Owen MJ
影响因子：
3.5
作者：
Gaughwin, Philip Michael;Ciesla, Maciej;Bjorkqvist, Maria
通讯作者：
Bjorkqvist, Maria
DOI：
10.4061/2010/164906
发表时间：
2010-04-13
期刊：
Human genomics and proteomics : HGP
影响因子：
--
作者：
Eidelman O;Jozwik C;Huang W;Srivastava M;Rothwell SW;Jacobowitz DM;Ji X;Zhang X;Guggino W;Wright J;Kiefer J;Olsen C;Adimi N;Mueller GP;Pollard HB
通讯作者：
Pollard HB
影响因子：
10.5
作者：
Han, Kihoon;Gennarino, Vincenzo Alessandro;Zoghbi, Huda Y.
通讯作者：
Zoghbi, Huda Y.