2022
DOI: 10.1038/s41397-022-00283-7
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miRNAs as potential diagnostic biomarkers and pharmacogenomic indicators in psychiatric disorders

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Cited by 12 publications
(8 citation statements)
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“…However, exosomes have been shown to also contain miRNA molecules that can be altered under stress [ 46 ]. Furthermore, several miRNA molecules, for instance miR-34a, miR-106, miR-134, and miR-132, are deregulated in MDD and show brain enrichment in MDD [ 47 , 48 ]. It is therefore possible that, in addition to an inhibition of PLD and a reduction of phosphatidic acid, ceramide also facilitates the uptake of miR-34a, miR-106, miR-134, and miR-132 and other miRNAs into the brain [ 49 ], a mechanism that may contribute to the development of MDD.…”
Section: Discussionmentioning
confidence: 99%
“…However, exosomes have been shown to also contain miRNA molecules that can be altered under stress [ 46 ]. Furthermore, several miRNA molecules, for instance miR-34a, miR-106, miR-134, and miR-132, are deregulated in MDD and show brain enrichment in MDD [ 47 , 48 ]. It is therefore possible that, in addition to an inhibition of PLD and a reduction of phosphatidic acid, ceramide also facilitates the uptake of miR-34a, miR-106, miR-134, and miR-132 and other miRNAs into the brain [ 49 ], a mechanism that may contribute to the development of MDD.…”
Section: Discussionmentioning
confidence: 99%
“…Additional research is needed to identify microRNA expression signatures that link metabolic liver disease with psychiatric disorders. Finally, microRNAs are being explored as potential diagnostic biomarkers and therapeutics for NAFLD/NASH ( Di Mauro et al, 2021 ; Mohamed et al, 2021 ) and myriad psychiatric disorders as well ( Alural et al, 2017 ; Roy et al, 2020 ; Islam et al, 2021 ; Srivastava et al, 2021 ; Tsermpini et al, 2022 ).…”
Section: Mechanistic Synergies Between Non-alcoholic Fatty Liver Dise...mentioning
confidence: 99%
“…The third largest, and also the most recent, cluster has the following top citing papers: van Calker and Serchov [110] (coverage = 14, GCS = 3), Tsermpini et al [118] (coverage = 11, GCS = 0), and Ghafouri-Fard et al [119] (coverage = 11, GCS = 6). However, the label from this cluster stems from several citing papers that used a bioinformatics approach (e.g., Sabaie et al [120] with a coverage = 8 and GCS = 3, Sabaie et al [121] with a coverage = 7 and GCS = 0, and Jin et al [122] with a coverage = 5 and GCS = 0).…”
Section: Cluster #2: Bioinformatics Analysismentioning
confidence: 99%