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INNOSC Theranostics and
Pharmacological Sciences MDD biomarkers: Clinical implications

doi: 10.1016/j.jpsychires.2019.07.004 doi: 10.1038/s41398-019-0589-0
74. Zurawska A, Mycko MP, Selmaj KW. Circular RNAs as a 82. Guilloux JP, Bassi S, Ding Y, et al. Testing the predictive
novel layer of regulatory mechanism in multiple sclerosis. value of peripheral gene expression for nonremission
J Neuroimmunol. 2019;334:576971. following citalopram treatment for major depression.
Neuropsychopharmacology. 2015;40(3):701-710.
doi: 10.1016/j.jneuroim.2019.576971
doi: 10.1038/npp.2014.226
75. Mehta SL, Dempsey RJ, Vemuganti R. Role of circular RNAs
in brain development and CNS diseases. Prog Neurobiol. 83. Iniesta R, Hodgson K, Stahl D, et al. Antidepressant drug-
2020;186:101746. specific prediction of depression treatment outcomes from
genetic and clinical variables. Sci Rep. 2018;8(1):5530.
doi: 10.1016/j.pneurobio.2020.101746
doi: 10.1038/s41598-018-23584-z
76. An T, Zhang J, Ma Y, et al. Relationships of Non-coding RNA
with diabetes and depression. Sci Rep. 2019;9(1):10707. 84. Pajer K, Andrus BM, Gardner W, et al. Discovery of blood
transcriptomic markers for depression in animal models
doi: 10.1038/s41598-019-47077-9
and pilot validation in subjects with early-onset major
77. Yu X, Fan Z, Yang T, et al. Plasma circRNA HIPK2 as a depression. Transl Psychiatry. 2012;2(4):e101.
putative biomarker for the diagnosis and prediction of doi: 10.1038/tp.2012.26
therapeutic effects in major depressive disorder. Clin Chim
Acta. 2024;552:117694. 85. Redei EE, Andrus BM, Kwasny MJ, et al. Blood
transcriptomic biomarkers in adult primary care patients
doi: 10.1016/j.cca.2023.117694
with major depressive disorder undergoing cognitive
78. Clive ML, Boks MP, Vinkers CH, et al. Discovery and behavioral therapy. Transl Psychiatry. 2014;4(9):e442.
replication of a peripheral tissue DNA methylation doi: 10.1038/tp.2014.66
biosignature to augment a suicide prediction model. Clin
Epigenetics. 2016;8:113. 86. Wang H, Zhang M, Xie Q, Yu J, Qi Y, Yue Q. Identification
of diagnostic markers for major depressive disorder by
doi: 10.1186/s13148-016-0279-1
cross-validation of data from whole blood samples. PeerJ.
79. Powell TR, Smith RG, Hackinger S, et al. DNA methylation in 2019;7:e7171.
interleukin-11 predicts clinical response to antidepressants doi: 10.7717/peerj.7171
in GENDEP. Transl Psychiatry. 2013;3(9):e300.
87. Liang PK, Sun Y, Li Y, Liang Y. Association between
doi: 10.1038/tp.2013.73
single nucleotide polymorphisms within lncRNA
80. Kang HJ, Kim JM, Lee JY, et al. BDNF promoter methylation NONHSAT102891 and depression susceptibility in a Chinese
and suicidal behavior in depressive patients. J Affect Disord. population. Neuropsychiatr Dis Treat. 2023;19:293-302.
2013;151(2):679-685.
88. Li Y, Wang YX, Tang XM, et al. Haplotype analysis of
doi: 10.1016/j.jad.2013.08.001 long-chain non-coding RNA NONHSAT102891 promoter
polymorphisms and depression in Chinese individuals:
81. Ju C, Fiori LM, Belzeaux R, et al. Integrated genome-wide
methylation and expression analyses reveal functional A case-control association study. World J Psychiatry.
predictors of response to antidepressants. Transl Psychiatry. 2023;13:1005-1015.
2019;9(1):254. doi: 10.5498/wjp.v13.i12.1005

Volume 8 Issue 2 (2025) 45 doi: 10.36922/itps.4404