Biological Mechanisms of Atypical and Melancholic Major Depressive Disorder

被引:5
作者
Tarasov, V. Vadim [1 ]
Ivanets, N. Nikolay [1 ]
Svistunov, A. Andrey [1 ]
Chubarev, N. Vladimir [1 ]
Kinkulkina, A. Marina [1 ,2 ]
Tikhonova, G. Yuliya [1 ]
Syzrantsev, S. Nikita [1 ]
Chubarev, V. Ivan [3 ]
Muresanu, Cristian [4 ]
Somasundaram, G. Siva [5 ]
Kirkland, E. Cecil [5 ]
Aliev, Gjumrakch [1 ,6 ,7 ,8 ]
机构
[1] Sechenov Univ, IM Sechenov First Moscow State Med Univ, 8-2 Trubetskayast, Moscow 119991, Russia
[2] NV Sklifosovsky Inst Clin Med, Moscow, Russia
[3] Mental Hlth Res Ctr, Moscow 115552, Russia
[4] Res Ctr Appl Biotechnol Diag & Mol Therapies BIOD, Str Trifoiuluinr 12 G, Cluj Napoca 400478, Romania
[5] Salem Univ, Dept Biol Sci, Salem, WV 26426 USA
[6] Fed State Budgetary Inst, Res Inst Human Morphol, 3 Tsyurupy Str, Moscow 117418, Russia
[7] Russian Acad Sci, Inst Physiol Act Cpds, 1 Severny Pr, Chernogolovka 142432, Moscow Region, Russia
[8] GALLY Int Res Inst, 7733 Louis Pasteur Dr,330, San Antonio, TX 78229 USA
关键词
Depression; translational medicine; biomarkers; genomics; metabolomics; neuroinflammation; antidepressants; pharmacology; major depressive disorder; MDD; STATE FUNCTIONAL CONNECTIVITY; GENOME-WIDE ASSOCIATION; GAMMA-AMINOBUTYRIC-ACID; MENTAL-HEALTH SURVEY; C-REACTIVE PROTEIN; UNIPOLAR DEPRESSION; GENERAL-POPULATION; GENETIC ARCHITECTURE; OXIDATIVE STRESS; FAT MASS;
D O I
10.2174/1381612827666210603145441
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background: This review summarizes recent findings in molecular biology and neuroimaging and their applicability to the classification and identification of depression. We discuss whether there is reliable evidence that could become a basis for biomarkers or subtyping that may enhance our understanding of the biological foundations of depression and may be useful for clinical practice with respect to diagnosis and prognosis as well as the selection of treatments. Objective: The purpose of this investigation is to present molecular mechanisms that contribute to different origins of depressions that could prove useful in the daily psychiatric clinic-based practices. Methods: The authors have analyzed and summarized electronic publications available in PubMed, Science Direct, Google Scholar, and Scopus. Results: The introduction of molecular diagnostic methods into medical practice is a promising method to improve the accuracy of the diagnosis of depression in clinical settings. The literature analysis revealed structural changes in some areas of the brain, its neuroplasticity, as well as changes at the molecular, epigenetic, and genetic levels. However, there are no current reliable biomarkers for differential diagnosis of the types and subtypes of depression. Conclusion: Major depressive disorder is a biologically and genetically heterogeneous disorder. Given its complexity, subtyping is worthwhile to identify biological bases of conditions. The literature review provides ample findings that reveal possible underlying biological mechanisms associated with atypical and melancholic depression. Additional focused research should be continued with respect to the molecular and genetic biology of different types of depression. There already are promising findings, but additional research to define biologically based depressive subtypes is needed and worthwhile.
引用
收藏
页码:3399 / 3412
页数:14
相关论文
共 136 条
[1]   Leptin in the interplay of inflammation, metabolism and immune system disorders [J].
Abella, Vanessa ;
Scotece, Morena ;
Conde, Javier ;
Pino, Jesus ;
Angel Gonzalez-Gay, Miguel ;
Gomez-Reino, Juan J. ;
Mera, Antonio ;
Lago, Francisca ;
Gomez, Rodolfo ;
Gualillo, Oreste .
NATURE REVIEWS RHEUMATOLOGY, 2017, 13 (02) :100-109
[2]   The epidemiology of major depressive episodes:: results from the International Consortium of Psychiatric Epidemiology (ICPE) Surveys [J].
Andrade, L ;
Caraveo-Anduaga, JJ ;
Berglund, P ;
Bijl, RV ;
De Graaf, R ;
Vollebergh, W ;
Dragomirecka, E ;
Kohn, R ;
Keller, M ;
Kessler, RC ;
Kawakami, N ;
Kiliç, C ;
Offord, D ;
Ustun, TB ;
Wittchen, HU .
INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH, 2003, 12 (01) :3-21
[3]  
Anisman H, 2008, J PSYCHIATR NEUROSCI, V33, P131
[4]   Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping [J].
Beijers, Lian ;
Wardenaar, Klaas J. ;
van Loo, Hanna M. ;
Schoevers, Robert A. .
MOLECULAR PSYCHIATRY, 2019, 24 (06) :888-900
[5]   Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study [J].
Beijers, Lian ;
Wardenaar, Klaas J. ;
Bosker, Fokko J. ;
Lamers, Femke ;
van Grootheest, Gerard ;
de Boer, Marrit K. ;
Penninx, Brenda W. J. H. ;
Schoevers, Robert A. .
PSYCHOLOGICAL MEDICINE, 2019, 49 (04) :617-627
[6]   Can only reversed vegetative symptoms define atypical depression? [J].
Benazzi, F .
EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE, 2002, 252 (06) :288-293
[7]   Is depression associated with increased oxidative stress? A systematic review and meta-analysis [J].
Black, Catherine N. ;
Bot, Mariska ;
Scheffer, Peter G. ;
Cuijpers, Pim ;
Penninx, Brenda W. J. H. .
PSYCHONEUROENDOCRINOLOGY, 2015, 51 :164-175
[8]   Systematic evaluation of commercial pharmacogenetic testing in psychiatry: a focus on CYP2D6 and CYP2C19 allele coverage and results reporting [J].
Bousman, Chad A. ;
Jaksa, Philip ;
Pantelis, Christos .
PHARMACOGENETICS AND GENOMICS, 2017, 27 (11) :387-393
[9]   Cross-national epidemiology of DSM-IV major depressive episode [J].
Bromet, Evelyn ;
Andrade, Laura Helena ;
Hwang, Irving ;
Sampson, Nancy A. ;
Alonso, Jordi ;
de Girolamo, Giovanni ;
de Graaf, Ron ;
Demyttenaere, Koen ;
Hu, Chiyi ;
Iwata, Noboru ;
Karam, Aimee N. ;
Kaur, Jagdish ;
Kostyuchenko, Stanislav ;
Lepine, Jean-Pierre ;
Levinson, Daphna ;
Matschinger, Herbert ;
Medina Mora, Maria Elena ;
Browne, Mark Oakley ;
Posada-Villa, Jose ;
Viana, Maria Carmen ;
Williams, David R. ;
Kessler, Ronald C. .
BMC MEDICINE, 2011, 9
[10]   The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes [J].
Brueckl, Tanja M. ;
Spoormaker, Victor, I ;
Saemann, Philipp G. ;
Brem, Anna-Katharine ;
Hence, Lara ;
Czamara, Darina ;
Elbau, Immanuel ;
Grandi, Norma C. ;
Jollans, Lee ;
Kuehnel, Anne ;
Leuchs, Laura ;
Poehlchen, Dorothee ;
Schneider, Maximilian ;
Tontsch, Alina ;
Keck, Martin E. ;
Schilbach, Leonhard ;
Czisch, Michael ;
Lucae, Susanne ;
Erhardt, Angelika ;
Binder, Elisabeth B. .
BMC PSYCHIATRY, 2020, 20 (01)