The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Major depression and its treatment: microRNAs as peripheral biomarkers of diagnosis and treatment response
Abstract
PURPOSE OF REVIEW: Major depressive disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Despite its considerable burden, our understanding of its pathophysiology remains rudimentary, and a validated biomarker has yet to be identified. Antidepressants are the most common treatment for MDD, yet roughly one-third of patients experience an inadequate response. Thus, there is a great need for not only identifying biomarkers of MDD but also those that can predict and monitor or just monitor response to treatment. RECENT FINDINGS: MicroRNAs (miRNAs) act as endogenous fine-tuners and on-off switches of gene expression. Several lines of evidence now suggest that miRNAs are involved in the pathogenesis of neuropsychiatric disorders. As such, miRNAs offer great hope as biomarkers of disease and response to treatment. SUMMARY: In this review, we discuss the growing field, investigating peripheral miRNAs as potential biomarkers of major depression and treatment response. A noninvasive and validated biomarker of MDD or treatment response will help clinicians guide treatment selection. Ultimately, these findings provide important steps in the development of early diagnostic tools, preventive strategies, and effective pharmacological treatment for psychiatric disorders.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This highlights miRNAs’ potential as biomarkers for treatment response; however, further studies are needed.”
From Epigenetics and depression (2019) · cites this paper as [31]
In the citing paper
“Other studies of postmortem brain and peripheral tissues have identified altered levels of miRNAs in patients with MDD and after treatment with antidepressant medication (see ref 31 for a review).”
From Epigenetics and depression (2019) · cites this paper as [31]
Citations
Cites
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
MicroRNAs: small RNAs with a big role in gene regulation
He, L., & Hannon, G. J. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1379 · Cited by 7,118
Regulation of microRNA biogenesis
Ha, M., & Kim, V. N. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3838 · Cited by 5,462
Delivery of siRNA to the mouse brain by systemic injection of targeted exosomes
Alvarez-Erviti, L., Seow, Y., Yin, H., Betts, C., Lakhal, S., & Wood, M. J. A. (2011) · Nature Biotechnology · doi:10.1038/nbt.1807 · Cited by 4,930
Non-coding RNAs in human disease
Esteller, M. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3074 · Cited by 4,825
The role of inflammation in depression: from evolutionary imperative to modern treatment target
Miller, A. H., & Raison, C. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2015.5 · Cited by 3,942 · cited 1×
“In addition, several lines of evidence suggest that that MDD is a systemic illness(64, 65), so even if peripheral samples would not be good surrogates of the CNS, there is still value to study peripheral samples per se because we could detect peripheral processes that may be etiologically relevant…”
BackgroundInflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression
Miller, A. H., Maletic, V., & Raison, C. L. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.11.029 · Cited by 3,848
MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins
Vickers, K. C., Palmisano, B. T., Shoucri, B. M., Shamburek, R. D., & Remaley, A. T. (2011) · Nature Cell Biology · doi:10.1038/ncb2210 · Cited by 2,741
Otte, C., Gold, S. M., Penninx, B. W., Pariante, C. M., Etkin, A., Fava, M., Mohr, D. C., & Schatzberg, A. F. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.65 · Cited by 2,269
The Landscape of long noncoding RNA classification
Laurent, G. S., Wahlestedt, C., & Kapranov, P. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.03.007 · Cited by 1,211
Cited by
Sorted by citations
Penner-Goeke, S., & Binder, E. B. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.4/ebinder · Cited by 254
Wei, Z.-X., Xie, G.-J., Mao, X., Zou, X.-P., Liao, Y.-J., Liu, Q.-S., Wang, H., & Cheng, Y. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0622-2 · Cited by 227
Zhang, Y., Du, L., Bai, Y., Han, B., He, C., Gong, L., Huang, R., Shen, L., Chao, J., Liu, P., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0285-0 · Cited by 184
MicroRNA mediators of early life stress vulnerability to depression and suicidal behavior
Allen, L., & Dwivedi, Y. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0597-8 · Cited by 152
Epigenetic Regulations in Neuropsychiatric Disorders
Kuehner, J. N., Bruggeman, E. C., Wen, Z., & Yao, B. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00268 · Cited by 144
Toll-Like Receptor Signaling in Depression
Figueroa‐Hall, L. K., Paulus, M. P., & Savitz, J. B. (2020) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2020.104843 · Cited by 122
Bivalve molluscs as bioindicators of multiple stressors in the marine environment: Recent advances
Chahouri, A., Yacoubi, B., Moukrim, A., & Banaoui, A. (2023) · Continental Shelf Research · doi:10.1016/j.csr.2023.105056 · Cited by 113
The relationship between psychological health and social support: Evidence from physicians in China
Sun, J., Sun, R., Jiang, Y., Chen, X., Li, Z., Ma, Z., Wei, J., He, C., & Zhang, L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0228152 · Cited by 97
Emon, M. P. Z., Das, R. K., Nishuty, N. L., Qusar, M. S., Bhuiyan, M. A., & Islam, M. R. (2020) · BMC Research Notes · doi:10.1186/s13104-020-04952-3 · Cited by 88
Hung, Y.-Y., Wu, M., Tsai, M.-C., Huang, Y., & Kang, H. (2019) · Cells · doi:10.3390/cells8070647 · Cited by 81
Non-coding RNAs in depression: Promising diagnostic and therapeutic biomarkers
Shi, Y., Wang, Q., Song, R., Kong, Y., & Zhang, Z. (2021) · eBioMedicine · doi:10.1016/j.ebiom.2021.103569 · Cited by 79
Albert, P. R., François, B. L., & Vahid-Ansari, F. (2019) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.180209 · Cited by 73
Wingo, T. S., Yang, J., Fan, W., Canon, S. M., Gerasimov, E. S., Lori, A., Logsdon, B. A., Yao, B., Seyfried, N. T., Lah, J. J., et al. (2020) · npj Genomic Medicine · doi:10.1038/s41525-019-0113-8 · Cited by 71
Serum Exosome-Derived miR-139-5p as a Potential Biomarker for Major Depressive Disorder
Liang, J., Liao, H., Xu, C., Li, X., Wei, Z., Xie, G., & Cheng, Y. (2020) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s277392 · Cited by 68
Khan, A. R., Geiger, L., Wiborg, O., & Czéh, B. (2020) · Cells · doi:10.3390/cells9041026 · Cited by 65
Biomarkers in Child and Adolescent Depression
Zwolińska, W., Dmitrzak‐Węglarz, M., & Słopień, A. (2021) · Child Psychiatry & Human Development · doi:10.1007/s10578-021-01246-y · Cited by 65
Blood miR-144-3p: a novel diagnostic and therapeutic tool for depression
van der Zee, Y. Y., Eijssen, L., Mews, P., Ramakrishnan, A., Alvarez, K., Lardner, C. K., Cates, H. M., Walker, D. M., Torres‐Berrío, A., Browne, C. J., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01712-6 · Cited by 53
Liang, H., He, J.-R., Tu, X.-Q., Ding, K.-Q., Yang, G., Zhang, Y., & Zeng, L. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.05.018 · Cited by 45
Segaran, R. C., Chan, L. Y., Wang, H., Sethi, G., & Tang, F. R. (2020) · Current Medicinal Chemistry · doi:10.2174/0929867327666200121122910 · Cited by 42
Menke, A. (2018) · Pharmacogenomics and Personalized Medicine · doi:10.2147/pgpm.s146110 · Cited by 41
Bortolozzi, A., Manashirov, S., Chen, A., & Artigas, F. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107873 · Cited by 37
Kelly, C. A., Freeman, K. B., & Schumacher, J. A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104578 · Cited by 40
Álvarez-Mon, M. Á., Ortega, M. A., Montero, C. G., Fraile‐Μartinez, O., Monserrat, J., Lahera, G., Mora, F., Rodríguez-Quiroga, A., Fernández-Rojo, S., Quintero, J., et al. (2021) · Pharmaceuticals · doi:10.3390/ph14080821 · Cited by 38
Jiang, T., Hu, S., Dai, S., Yi, Y., Wang, T., Li, X., Luo, M., Li, K., Chen, L., Wang, H., et al. (2022) · Cell Biology and Toxicology · doi:10.1007/s10565-021-09590-4 · Cited by 33
MicroRNAs in Major Depressive Disorder
Fries, G. R., Zhang, W., Benevenuto, D., & Quevedo, J. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-05542-4_9 · Cited by 29
Zhan, Y., Han, J., Xia, J., & Wang, X. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s289444 · Cited by 31
miRNAs in Drug Response Variability: Potential Utility as Biomarkers for Personalized Medicine
Latini, A., Borgiani, P., Novelli, G., & Ciccacci, C. (2019) · Pharmacogenomics · doi:10.2217/pgs-2019-0089 · Cited by 33
Benefits of animal models to understand the pathophysiology of depressive disorders
Czéh, B., & Simon, M. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110049 · Cited by 30
Díaz-Hung, M.-L., Martínez, G., & Hetz, C. A. (2020) · International review of cytology · doi:10.1016/bs.ircmb.2020.01.004 · Cited by 28
Kokkonen-Simon, K. M., Saberi, A., Nakamura, T., Ranek, M. J., Zhu, G., Bedja, D., Kühn, M., Halushka, M. K., Lee, D. I., & Kass, D. A. (2018) · JCI Insight · doi:10.1172/jci.insight.121739 · Cited by 27
A miRNome analysis of drug-free manic psychotic bipolar patients versus healthy controls
Tabano, S. M., Caldiroli, A., Terrasi, A., Colapietro, P., Grassi, S., Carnevali, G. S., Fontana, L., Serati, M., Vaira, V., Altamura, A. C., et al. (2019) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-019-01057-2 · Cited by 27
miR-34a induces spine damages via inhibiting synaptotagmin-1 in depression
Yi, L., Zhu, J., Dong, S., Li, C., Zhang, Q., Cheng, J., & Liu, Q. (2020) · Neurobiology of Stress · doi:10.1016/j.ynstr.2020.100243 · Cited by 27
Neuroepigenetics of psychiatric disorders: Focus on lncRNA
Jovčevska, I., & Paska, A. V. (2021) · Neurochemistry International · doi:10.1016/j.neuint.2021.105140 · Cited by 25
Portugalov, A., Zaidan, H., Gaisler‐Salomon, I., Hillard, C. J., & Akirav, I. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232416101 · Cited by 25
Meng, P., Zhang, X., Liu, T., Liu, J., Luo, Y., Xie, M.-X., Yang, H., Fang, R. M., Guo, D., Zhong, Z., et al. (2023) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-023-04000-0 · Cited by 26
Stupart, O., Robbins, T. W., & Dalley, J. W. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06275-6 · Cited by 32
The top-100 cited articles on biomarkers in the depression field: a bibliometric analysis
Shi, S.-Z., Gao, Y., Sun, Y., Liu, M., Shao, L., Zhang, J.-H., & Tian, J.-H. (2020) · Psychology, Health & Medicine · doi:10.1080/13548506.2020.1752924 · Cited by 24
Bioinformatics analysis of a TF-miRNA-lncRNA regulatory network in major depressive disorder
Bian, Q., Chen, J., Wu, J., Ding, F., Li, X., Ma, Q., Zhang, L., Zou, X., & Chen, J. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.113842 · Cited by 22
Duarte-Silva, E. P., Oriá, A. C., Mendonça, I. P., de Melo, M. G., de Paiva, I. H. R., Maes, M. H. J., Joca, S. R. L., & Peixoto, C. A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104582 · Cited by 22
Abnormalities of lipid metabolism in the progression and treatment of depression
Luan, X., Wang, X., Shi, Y., Zhang, X., Wang, Y., Zhou, M., Wu, Z., Liu, Z., Li, X., Zhang, L., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1589663 · Cited by 26
Choi, J., Kim, J., Park, M., & Lee, H. (2022) · Nutrients · doi:10.3390/nu15010145 · Cited by 21
Epigenetic mechanisms linking early-life adversities and mental health
Cánepa, E. T., & Berardino, B. G. (2024) · Biochemical Journal · doi:10.1042/bcj20230306 · Cited by 22
Xiao, P., Zhang, X., Li, Y., Ma, Z., Si, S., & Gao, X. (2019) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2019.8228 · Cited by 21
van Calker, D., & Serchov, T. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.03.019 · Cited by 19
Marshe, V. S., Islam, F., Maciukiewicz, M., Fiori, L. M., Yerko, V., Yang, J., Turecki, G., Foster, J. A., Kennedy, S. H., Blumberger, D. M., et al. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.109867 · Cited by 19
Self-citationLiu, W., Zhang, F., Zheng, Y., Shen, H., Zhang, T., Guo, Q., Xu, H. J., Chen, H., Liu, C., Yu, S., et al. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136184 · Cited by 17
DNA Tetrahedra-Based Delivery of MicroRNA-22 to Reduce Depressive Symptoms in Mice
Luo, Y., Yang, X., Du, Y., Dou, Y., Cui, W., Li, J., Wei, J., Ma, X., & Lin, Y. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.3c03054 · Cited by 17
Extracellular Vesicles in Psychiatry Research in the Context of RDoC Criteria
Ilgın, C., & Topuzoǧlu, A. (2018) · Psychiatry Investigation · doi:10.30773/pi.2018.09.17 · Cited by 17
Gibbons, A. S., Sundram, S., & Dean, B. (2020) · Non-Coding RNA · doi:10.3390/ncrna6030033 · Cited by 17
NCK-associated protein 1 regulates metastasis and is a novel prognostic marker for colorectal cancer
Kwon, M. R., Lee, J. H., Park, J. H., Park, S. S., Ju, E. J., Ko, E. J., Shin, S. H., Son, G. W., Lee, H. W., Kim, Y. J., et al. (2023) · Cell Death Discovery · doi:10.1038/s41420-023-01303-6 · Cited by 16
Ferreira, N. R., Vitorino, C., & Fortuna, A. C. (2022) · Biochemical Pharmacology · doi:10.1016/j.bcp.2022.115300 · Cited by 16
Hu, J., Zhou, W., Zhou, Z., Yang, Q., Xu, J., & Dong, W. (2020) · Brazilian Journal of Medical and Biological Research · doi:10.1590/1414-431x20209162 · Cited by 15
Increasing resolution in stress neurobiology: from single cells to complex group behaviors
Miranda, L., Bordes, J., Gasperoni, S., & López, J. P. (2023) · Stress · doi:10.1080/10253890.2023.2186141 · Cited by 15
Diagnostic value of MicroRNAs for depression: A systematic review and meta-analysis
Li, W., Li, X., Li, Y., Chen, Y., Zhu, L., & Guo, R. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.11.028 · Cited by 14
Popa, N., Bachar, D., Roberts, A., Santangelo, A. M., & Gascon, E. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104159 · Cited by 13
Mapping the structure of depression biomarker research: A bibliometric analysis
Guo, X., Wu, P., Jia, X. P., Dong, Y., Zhao, C., Chen, N., Zhang, Z., Miao, Y.-T., Yun, K., Gao, C., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.943996 · Cited by 14
Nahar, Z., Monisha, S. T., Qusar, M. S., & Islam, M. R. (2023) · Health Science Reports · doi:10.1002/hsr2.1175 · Cited by 14
Jurkiewicz, M., Moser, D., Koller, A. A., Yu, L., Chen, E. I., Bennett, D. A. A., & Canli, T. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00966-4 · Cited by 15
Toledano, R. S., & Akirav, I. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02213-0 · Cited by 17
Serum-Derived Neuronal Exosomal miRNAs as Biomarkers of Acute Severe Stress
Sung, M. K., Sung, S., Kang, K., Choi, J.-H., Lee, S., Kim, K., Lim, J., Lee, G. W., Rim, H.-D., Kim, B., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22189960 · Cited by 12
Cuomo-Haymour, N., Kaiser, S., Hartmann-Riemer, M. N., Guetter, K., Klaus, F., Cathomas, F., Seifritz, E., Bergamini, G., Russo, G., & Pryce, C. R. (2022) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2022.100049 · Cited by 16
Carneiro, B. A., Guerreiro‐Costa, L. N. F., Lins-Silva, D. H., Guimaraes, D. F., Souza, L. S., Leal, G. C.-G., Caliman‐Fontes, A. T., Beanes, G., Costa, R. D. S., & Quarantini, L. C. (2024) · Cureus · doi:10.7759/cureus.56910 · Cited by 11
Zhang, J., Liu, D., Liu, B., & Xiang, J. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.4c05967 · Cited by 11
Pan, J., Xie, J., Huang, L., Wu, Q., Tang, D., Jin, Q., Wang, W., & Yang, M. (2023) · The Kaohsiung Journal of Medical Sciences · doi:10.1002/kjm2.12670 · Cited by 12
Dysregulation of miR-185, miR-193a, and miR-450a in the skin are linked to the depressive phenotype
Kaadt, E., Højgaard, K., Mumm, B. H., Christiansen, S. L., Müller, H. K., Damgaard, C. K., & Elfving, B. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110052 · Cited by 9
Guedes, P. H. G., Brussasco, J. G., Moço, A. C. R., de Moraes, D. D., Segatto, M. S., Flauzino, J. M. R., Mendes‐Silva, A. P., Ueira‐Vieira, C., Madurro, J. M., & Brito‐Madurro, A. G. (2023) · Talanta · doi:10.1016/j.talanta.2023.124342 · Cited by 11
Molecular programs underlying differences in the expression of mood disorders in males and females
Mena, F., & Benoit, L. (2019) · Brain Research · doi:10.1016/j.brainres.2019.05.016 · Cited by 9
Clinical Utility of Fluid Biomarker in Depressive Disorder
Serretti, A. (2022) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2022.20.4.585 · Cited by 9
miR-92aSuppresses Mushroom Body-Dependent Memory Consolidation inDrosophila
Guven-Ozkan, T., Busto, G. U., Jung, J.-Y., Drago, I., & Davis, R. L. (2020) · eNeuro · doi:10.1523/eneuro.0224-20.2020 · Cited by 9
Patrício, P., Mateus‐Pinheiro, A., Alves, N. D., Morais, M., Rodrigues, A. J., Bessa, J. M., Sousa, N., & Pinto, L. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00136 · Cited by 10
Campbell, K. S. J., Collier, A. C., Irvine, M. A., Brain, U. M., Rurak, D. W., Oberlander, T. F., & Lim, K. I. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.680177 · Cited by 9
Long, Q., Wang, R., Feng, M., Zhao, X., Liu, Y., Ma, X., Yu, L., Li, S., Guo, Z., Zhu, Y. K., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.762683 · Cited by 9
Huang, X., Zhu, Z., Du, M., Wu, C., Fu, J., Zhang, J., Tan, W., Wu, B., Liu, L., & Liao, Z. (2024) · NeuroMolecular Medicine · doi:10.1007/s12017-024-08793-2 · Cited by 7
Réus, G. Z., Manosso, L. M., Arent, C. O., Borba, L. A., & Abelaira, H. M. (2022) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1570159x20666220329143804 · Cited by 7
How does IL-6 change after combined treatment in MDD patients? A systematic review
Lombardi, A. L., Manfredi, L., & Conversi, D. (2022) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2022.100579 · Cited by 7
Mingardi, J., Paoli, C., Via, L. L., Carini, G., Misztak, P., Cifani, C., Popoli, M., Barbon, A., & Musazzi, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021552 · Cited by 7
Plasma microRNA Levels After Electroconvulsive Therapy in Treatment-Resistant Depressed Patients
Galbiati, C., Dattilo, V., Bortolomasi, M., Vitali, E., Abate, M., Menesello, V., Meattini, M., Silva, R. C., Gennarelli, M., Bocchio‐Chiavetto, L., et al. (2025) · Journal of Ect · doi:10.1097/yct.0000000000001100 · Cited by 7
A Bibliometric and Visual Analysis of Single Nucleotide Polymorphism Studies in Depression
Zhang, Z. M., Yang, Y., Kong, W., Huang, S., Tan, Y., Huang, S., Zhang, M., Lu, H., Li, Y., Li, X., et al. (2023) · Current Neuropharmacology · doi:10.2174/1570159x21666230815125430 · Cited by 5
Su, Y., Zhang, M., Xu, P., Wen, P., Xu, K., Xie, J., Wan, X., Liu, L., Yang, Z., & Yang, M. (2025) · Clinical and Experimental Hypertension · doi:10.1080/10641963.2025.2553507 · Cited by 6
A Potential Role for the Noncoding Transcriptome in Psychiatric Disorders
Klengel, T. (2018) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000206 · Cited by 4
Jiang, X., Zhang, L., Gao, Y., He, C., Tang, Z., & Sun, J. (2023) · Journal of Environmental and Public Health · doi:10.1155/2023/3959571 · Cited by 4
Rockson, C., Girish, C., Natarajan, H., & Menon, V. (2024) · Indian Journal of Psychological Medicine · doi:10.1177/02537176241279110 · Cited by 4
Deciphering the role of miRNA-134 in the pathophysiology of depression: A comprehensive review
Wang, Y., Huang, Y., Luo, X., Lai, X., Yu, L., Zhao, Z., Zhang, A., Li, H., Huang, G., Li, Y., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e39026 · Cited by 4
The Role of Epigenetic Factors in the Development of Depressive Disorders
Mustafin, R. N., Enikeeva, R. F., Davydova, Y. D., & Хуснутдинова, Э. К. (2018) · Russian Journal of Genetics · doi:10.1134/s1022795418120104 · Cited by 4
Wang, M., Xia, C., Guo, Y., Zuo, G., Cheng, Y., Yang, H., Zhang, W., He, J., & Xu, J. (2025) · Phytotherapy Research · doi:10.1002/ptr.70141 · Cited by 4
Micro Ribonucleic Acid Combined with Nanoparticles in Molecular Diagnosis of Depression
Zhao, L., Ou, Q., Zheng, P., Cheng, J., Yuan, X., & Wang, D. (2022) · Science of Advanced Materials · doi:10.1166/sam.2022.4225 · Cited by 3
Xian-ping, H., Song, J., Gao, H., Li, Z., Wang, X., Zeng, Q., Xiao, Y., Feng, J., Zhou, D., & Wang, G.-M. (2022) · International Journal of Psychiatry in Clinical Practice · doi:10.1080/13651501.2022.2107938 · Cited by 3
Echoes of stress: From molecular whispers to social thunderstorms
López, J. P. (2025) · Neurobiology of Stress · doi:10.1016/j.ynstr.2025.100766 · Cited by 2
Sun, K., Qin, T., & Kang, Z. (2026) · Gene · doi:10.1016/j.gene.2026.150095 · Cited by 2
From microRNA to protein, linking the neurotrophic hypothesis of depression to the Wistar Kyoto rat
Kaadt, E., Hedemann, N., Damgaard, C. K., Müller, H. K., & Elfving, B. (2023) · Neuroscience Applied · doi:10.1016/j.nsa.2023.101131 · Cited by 2
The Classification of Depression: Embracing Phenotypic Heterogeneity in the Era of the RDoC
Ballard, E. D., Henter, I. D., & Zarate, C. A. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813333-0.00001-9 · Cited by 3
Emerging role of microRNAs as novel targets of antidepressants
Manoharan, A., & Paul, A. (2021) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2021.102906 · Cited by 2
Cuomo-Haymour, N., Sigrist, H., Ineichen, C., Russo, G., Nüesch, U., Gantenbein, F., Kulic, L., Knuesel, I., Bergamini, G., & Pryce, C. R. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031028 · Cited by 3
Novel TMS-derived metrics enable machine learning classification of major depressive disorder
Pereyra, S. L., Mazzotti, D. R., Oathes, D. J., & Goldschmied, J. (2026) · NPP—Digital Psychiatry and Neuroscience · doi:10.1038/s44277-025-00053-w · Cited by 2
Gasperoni, S., Ji, X., Sudre-Chinsky, C., Pajuelo, E. C., Zolfaghari, F. S., Boldemann, O., Hasan, M. M., Biagini, T., Umanski, D., Shemesh, Y., et al. (2026) · iScience · doi:10.1016/j.isci.2026.116825 · Cited by 1
Self-citationPsychiatric genomics: brain pathophysiology and genetic factors
Qian, J., Al-Chalabi, N., Wang, Y., Igblom, A., Fatemi, A. B., & Luca, V. D. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-819602-1.00016-4 · Cited by 1
Spirituality and Happiness: A Neuroscientific Perspective
Arora, R., & Mandal, M. K. (2023) · Springer eBooks · doi:10.1007/978-981-99-3493-5_2 · Cited by 2
The role of ncRNAs in depression
Luan, X., Xing, H., Guo, F., Liu, W., Jiao, Y., Liu, Z., Wang, X., & Gao, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e27307 · Cited by 1
Homorogan, C., ENĂTESCU, V. R., Marcu, A., Șeclăman, E. P., & Marian, C. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.11.865
Focus on pharmacotherapy for depression
Chesebro, J., Armes, K., & Peterson, K. (2019) · Nursing · doi:10.1097/01.nurse.0000604708.27955.43
Metadata
- Authors
- Lopez, J. P., Kos, A., & Turecki, G.
- Affiliations
- Max Planck Institute of Psychiatry (DE)
- Douglas Mental Health University Institute (CA)
- Corresponding author
- Turecki, Gustavo
- Venue
- Current Opinion in Psychiatry
- Published
- 2018-01
- Volume
- 31
- Issue
- 1
- Pages
- 7-16
- ISSN
- 0951-7367 (ISSN-L)
- OpenAlex
- W2766080306
- Cited by
- 108
- References
- 67
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 9 · 2023: 13 · 2022: 19 · 2021: 15 · 2020: 20 · 2019: 14 · 2018: 6
- FWCI
- 1.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- eScholarship@McGill (McGill) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Keywords
- major depressive disorder, microRNA, biomarkers, antidepressant response, peripheral biomarkers, depression pathophysiology, treatment response prediction, early detection of depression
- MeSH terms
- Antidepressive Agents, Depressive Disorder, Major, Major Depressive Disorder, Humans, Biomarkers, Treatment Outcome, MicroRNAs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review