Page 44 - ITPS-8-2
P. 44

INNOSC Theranostics and
            Pharmacological Sciences                                              MDD biomarkers: Clinical implications




            Table 4. MiR expression for MDD treatment response
            Tissue/Sample               miR Expression                 Associated signaling pathways  References
            PBMCs (Human)  Upregulated                              GO, KEGG and BioCarta              53
                            miR-4743, miR-4498, miR-4485 and miR-1972
                           Downregulated
                            miR-4485
            Plasma and PFC   Downregulated                          MAPK/Wnt                           52
            (human)         miR-146a-5p, miR-146b-5p, miR-24-3p and miR-425-3p
            Plasma (mouse)
            Plasma, exosome  Upregulated                            MAPK and Wnt                       64
            EDP, PNBCs      miR-26a (in EDP – exosomes depleted plasma)
                            miR-494 (in exosomes and EDP)
                            Among MDD-treated patients
            Plasma (human)  Upregulated                             Morphogenesis, COPII vesicle coating,   65
                            miR-16-5p, miR-146a-5p and miR-21-5p    IP3 metabolic process, apoptotic process,
                                                                    cytoplasmic stress granule, NO metabolic
                                                                    process, NO synthase, and virion assembly
            PBMCs (human)  Upregulated                              Prion diseases (TGFβ) and morphine   66
                            miR-27a-3p, miR-197-3p, miR-22-5p, miR-221-3p,   addiction signaling pathways
                            miR-126-3p, miR-128-1-5p, miR-30b-5p, miR-339-3p,
                            miR-301a-3p, miR-345-5p, miR-505-3p, miR-1249,
                            miR-132-3p, miR-550a-5p, miR-589-5p, miR-769-5p,
                            miR-10b-5p, miR-210-3p, miR-628-3p, let-7d-3p,
                            miR-148a-5p, miR-155-5p, miR-140-3p, miR-150-3p,
                            miR-181a-5p, miR-24-3p, miR-629-5p, let-7a-3p,
                            miR-194-5p, miR-28-3p, miR-378a-3p, miR-6852-5p,
                            miR-7706
            Plasma (human)  Upregulated                             MAPK and Wnt                       67
                            miR-135a-5p (the higher the miR-135a-5p expression, the
                            faster the remission.)
            Abbreviations: EDP: Exosomes depleted plasma; lncRNA: Long non-coding RNAs; MDD: Major depressive disorder; miR: microRNA;
            MAPK: Mitogen-activated protein kinase; NO: Nitric oxide; PBMC: Peripheral blood mononuclear cells; PFC: Prefrontal cortex; PNBC: Peripheral
            nucleated blood cells; TGFβ: Transforming growth factor beta.

            NONHSAG045500, ENST00000517573, NONHSAT034045,     multiple regulatory roles in physiological and pathological
            and NONHSAT142707) were found highly sensitive and   processes at the nuclear and cellular levels. The mysterious
            specific for the diagnosis of MDD (AUC = 0.719). Seki   circRNAs are formed from pre-mRNA through back-
            et al. discovered RMRP, a nuclear DNA-encoded lncRNA   splicing of introns, exons, or both, while the canonical
            and a component of nuclear RNase mitochondrial RNA   splicing of the same pre-mRNA results in the formation of
            processing (MRP) complex, as a potential biomarker for   protein-coding mRNA. 74,75
            the diagnosis and severity assessment of MDD in both
            human and animal research models.  Most recently, Liu   Cui et al. were the first to recommend the expression
                                          73
            et al. conducted in vitro and in vivo studies on regulatory   of circRNAs (circRNA_103636) in PBMCs as a biomarker
            antisense lncRNAs of GSK3β, a serine-threonine kinase   for MDD diagnosis and treatment response, with 73%
            involved in synaptic plasticity, neurogenesis, and resilience   sensitivity and 65% specificity as determined by receiver
                                                                                                   40
            to  neuronal  injury.   The  study  identified  gsk3βAS1   operating characteristic (ROC) curve analysis.  Zhang et al.
                             39
            [ENST00000482027], gsk3βAS2 [ENST00000491262], and   conducted experiments to validate the ameliorative effects
            gsk3βAS3 [BC035247] as novel diagnostic and therapeutic   of circRNA DYM (circDYM) expression in depressive-
            biomarkers for MDD. A summary of lncRNAs that play a   like mice models. In vitro studies on BV-2 cells revealed
            significant role in the diagnosis and treatment response of   that  circDYM  inhibits  miR-9  which  increases  target-
            MDD is presented in Table 5.                       HECT domain E3 ubiquitin protein ligase 1 (HECTD1)
                                                               and  depresses  microglial  activation.   Following  Zhang
                                                                                             61
            4.1.4. circRNA expression as biomarkers for MDD    et al., Song  et al. sorted out the correlation between
            Previously considered just a byproduct of genetic   downregulated  plasma  circDYM  and  MDD  up  to  94%
            malfunctioning,  circRNAs  have  now  been  assigned   sensitivity. 55


             Volume 8 Issue 2 (2025)                        38                               doi: 10.36922/itps.4404
   39   40   41   42   43   44   45   46   47   48   49