Sains Malaysiana 54(2)(2025): 577-587

http://doi.org/10.17576/jsm-2025-5402-22

 

Decoding Depression: Insights into Molecular Biomarkers and Neuroimaging of Depression

(Penyahkodan Kemurungan: Pandangan tentang Molekul Penanda Biologi dan Pengimejan Neuro Kemurungan)

 

REEMA ALMADODI1 & AIMI SYAMIMA ABDUL MANAP2,*

 

1School of Bioscience, Faculty of Health and Medicine, MAHSA University, Bandar Saujana Putra, 42610 Jenjarom, Kuala Langat, Selangor, Malaysia
2Department of Biomedical Science, College of Veterinary Medicine, King Faisal University, P.O Box 380 Al Ahsa 31982, Kingdom of Saudi Arabia

 

Received: 12 January 2024/Accepted: 26 November 2024

 

Abstract

In this review, we explore the recent insights on major depressive disorder (MDD) and emphasizes the involvement of specific genes, particularly in MDD development. The paper consolidates and examines various biological, epigenetic, and environmental factors contributing to depression, illustrating the intricate interplay among these elements. Interestingly, molecular and neuroimaging findings are summarized and discussed, acknowledging the current absence of reliable biomarkers for MDD. This absence is attributed to the structural and functional complexity of the brain, the limitations of available technology, and the weak correlations between genetic markers and clinical manifestations of depression. Interestingly, in somatic treatment, only electroconvulsive therapy (ECT) has been proven effective in treating resistant depression. In conclusion, this article critically reviews the molecular biomarkers and neuroimaging of depression. Existing mechanisms such as the biogenic amine hypothesis and genetic and environmental factors are recognized for explaining depression’s pathophysiology. The potential for neuroimaging and molecular studies to yield promising biomarkers for depression is highlighted.

 

Keywords: Depression; dopamine; environmental; genetics; MMD; MRI

 

Abstrak

Dalam ulasan ini, kami mengkaji pandangan terkini tentang gangguan kemurungan utama (MDD) dan menekankan penglibatan gen tertentu, terutamanya dalam pembangunan MDD. Kertas ini menyatu dan meneliti pelbagai faktor biologi, epigenetik dan persekitaran yang menyumbang kepada kemurungan, menggambarkan interaksi rumit antara unsur ini. Menariknya, penemuan molekul dan pengimejan neuro diringkaskan dan dibincangkan, mengakui ketiadaan semasa penanda biologi yang boleh dipercayai untuk MDD. Ketiadaan ini dikaitkan dengan kerumitan struktur dan fungsi otak, batasan teknologi sedia ada serta korelasi yang lemah antara penanda genetik dan manifestasi klinikal kemurungan. Menariknya, dalam rawatan somatik, hanya terapi elektrokonvulsif (ECT) telah terbukti berkesan dalam merawat rintangan kemurungan. Kesimpulannya, kertas ini mengkaji secara kritis penanda biologi molekul kemurungan dan pencitraan saraf. Mekanisme sedia ada, seperti hipotesis amina biogen serta faktor genetik dan persekitaran diiktiraf untuk menjelaskan patofisiologi kemurungan. Potensi untuk kajian pengimejan neuro dan molekul untuk menghasilkan penanda biologi yang berpotensi untuk kemurungan dibincangkan.

 

Kata kunci: Alam sekitar; dopamin; genetik; kemurungan; MMD; MRI

 

REFERENCES

Anderson, E.L. & Reti, I.M. 2009. ECT in pregnancy: A review of the literature from 1941 to 2007. Psychosomatic Medicine 71(2): 235-242.

Bartel, D.P. 2018. Metazoan microRNAs. Cell 173(1): 20-51.

Belzeaux, R., Bergon, A., Jeanjean, V., Loriod, B., Formisano-Tréziny, C., Verrier, L., Loundou, A., Baumstarck-Barrau, K., Boyer, L. & Gall, V. 2012. Responder and nonresponder patients exhibit different peripheral transcriptional signatures during major depressive episode. Translational Psychiatry 2(11): e185.

Bennabi, D., Charpeaud, T., Yrondi, A., Genty, J-B., Destouches, S., Lancrenon, S., Alaïli, N., Bellivier, F., Bougerol, T., Camus, V., Dorey, J-M., Doumy, O., Haesebaert, F., Holtzmann, J., Lançon, C., Lefebvre, M., Moliere, F., Nieto, I., Rabu, C., Richieri, R., Schmitt, L., Stephan, F., Vaiva, G., Walter, M., Leboyer, M., El-Hage, W., Llorca, P.M., Courtet, P., Aouizerate, B. & Haffen, E. 2019. Clinical guidelines for the management of treatment-resistant depression: French recommendations from experts, the French Association for Biological Psychiatry and Neuropsychopharmacology and the Fondation FondaMental. BMC Psychiatry 19: 262.

Brand, S.J., Moller, M. & Harvey, B.H. 2015. A review of biomarkers in mood and psychotic disorders: A dissection of clinical vs. preclinical correlates. Current Neuropharmacology 13(3): 324-368.

Caldieraro, M.A., McKee, M., Leistner-Segal, S., Vares, E.A., Kubaski, F., Spanemberg, L., Brusius-Facchin, A.C., Fleck, M.P. & Mischoulon, D. 2018. Val66Met polymorphism association with serum BDNF and inflammatory biomarkers in major depression. The World Journal of Biological Psychiatry 19(5): 402-409.

Carvalho, A.F., Solmi, M., Sanches, M., Machado, M.O., Stubbs, B., Ajnakina, O., Sherman, C., Sun, Y.R., Liu, C.S. & Brunoni, A.R. 2020. Evidence-based umbrella review of 162 peripheral biomarkers for major mental disorders. Translational Psychiatry 10: 152.

Castrén, E. & Rantamäki, T. 2010. The role of BDNF and its receptors in depression and antidepressant drug action: Reactivation of developmental plasticity. Developmental Neurobiology 70(5): 289-297.

Chand, S.P., Kuckel, D.P. & Huecker, M.R. 2023. Cognitive behavior therapy. StatPearls [Internet]. StatPearls Publishing.

Chávez-Castillo, M., Núñez, V., Nava, M., Ortega, Á., Rojas, M., Bermúdez, V. & Rojas-Quintero, J. 2019. Depression as a neuroendocrine disorder: Emerging neuropsychopharmacological approaches beyond monoamines. Advances in Pharmacological and Pharmaceutical Sciences 2019: 7943481.

Cladder‐Micus, M.B., Speckens, A.E., Vrijsen, J.N., T. Donders, A.R., Becker, E.S. & Spijker, J. 2018. Mindfulness‐based cognitive therapy for patients with chronic, treatment‐resistant depression: A pragmatic randomized controlled trial. Depression and Anxiety 35(10): 914-924.

Clark-Raymond, A. & Halaris, A. 2013. VEGF and depression: A comprehensive assessment of clinical data. Journal of Psychiatric Research 47(8): 1080-1087.

Cole, J., Costafreda, S.G., McGuffin, P. & Fu, C.H. 2011. Hippocampal atrophy in first episode depression: A meta-analysis of magnetic resonance imaging studies. Journal of Affective Disorders 134(1-3): 483-487.

Cui, L., Li, S., Wang, S., Wu, X., Liu, Y., Yu, W., Wang, Y., Tang, Y., Xia, M. & Li, B. 2024. Major depressive disorder: Hypothesis, mechanism, prevention and treatment. Signal Transduction and Targeted Therapy 9: 30.

D’Alfonso, S. 2020. AI in mental health. Current Opinion in Psychology 36: 112-117.

Del Giudice, M. & Gangestad, S.W. 2018. Rethinking IL-6 and CRP: Why they are more than inflammatory biomarkers, and why it matters. Brain, Behavior, and Immunity 70: 61-75.

Dos Santos, A.A., López-Granero, C., Farina, M., Rocha, J.B., Bowman, A.B. & Aschner, M. 2018. Oxidative stress, caspase-3 activation and cleavage of ROCK-1 play an essential role in MeHg-induced cell death in primary astroglial cells. Food and Chemical Toxicology 113: 328-336.

Dubol, M., Trichard, C., Leroy, C., Granger, B., Tzavara, E.T., Martinot, J-L. & Artiges, E. 2020. Lower midbrain dopamine transporter availability in depressed patients: Report from high-resolution PET imaging. Journal of Affective Disorders 262: 273-277.

Dunlop, B.W. & Mayberg, H.S. 2017. Neuroimaging advances for depression. Cerebrum 2017: cer-16-17.

Emamzadeh, F.N. 2016. Alpha-synuclein structure, functions, and interactions. Journal of Research in Medical Sciences 21: 29.

Fink, M., Kellner, C.H. & McCall, W.V. 2014. The role of ECT in suicide prevention. The Journal of ECT 30(1): 5-9.

Fu, C.H. & Costafreda, S.G. 2013. Neuroimaging-based biomarkers in psychiatry: Clinical opportunities of a paradigm shift. The Canadian Journal of Psychiatry 58(9): 499-508.

Gomes, N., Pato, M., Lourenco, A.R. & Datia, N. 2023. A survey on wearable sensors for mental health monitoring. Sensors 23(3): 1330.

Guo, X., Wu, P., Jia, X., Dong, Y., Zhao, C., Chen, N., Zhang, Z., Miao, Y., Yun, K. & Gao, C. 2022. Mapping the structure of depression biomarker research: A bibliometric analysis. Frontiers in Psychiatry 13: 943996.

Gururajan, A., Clarke, G., Dinan, T.G. & Cryan, J.F. 2016. Molecular biomarkers of depression. Neuroscience & Biobehavioral Reviews 64: 101-133.

Haapakoski, R., Mathieu, J., Ebmeier, K.P., Alenius, H. & Kivimäki, M. 2015. Cumulative meta-analysis of interleukins 6 and 1β, tumour necrosis factor α and C-reactive protein in patients with major depressive disorder. Brain, Behavior, and Immunity 49: 206-215.

Hu, Y., Yiu, V. & Clark, R. 2021. Etiology of depression: Biological and environmental factors in the development of depression. Journal of Student Research 10(4): 1-8.

Iosif, R.E., Ekdahl, C.T., Ahlenius, H., Pronk, C.J., Bonde, S., Kokaia, Z., Jacobsen, S.E.W. & Lindvall, O. 2006. Tumor necrosis factor receptor 1 is a negative regulator of progenitor proliferation in adult hippocampal neurogenesis. Journal of Neuroscience 26(38): 9703-9712.

Ivanets, N.N., Svistunov, A.A., Chubarev, V.N., Kinkulkina, M.A., Tikhonova, Y.G., Syzrantsev, N.S., Sologova, S.S., Ignatyeva, N.V., Mutig, K. & Tarasov, V.V. 2021. Can molecular biology propose reliable biomarkers for diagnosing major depression? Current Pharmaceutical Design 27(2): 305-318.

Jakubczyk, A., Klimkiewicz, A., Krasowska, A., Kopera, M., Sławińska-Ceran, A., Brower, K. & Wojnar, M. 2014. History of sexual abuse and suicide attempts in alcohol-dependent patients. Child Abuse & Neglect 38(9): 1560-1568.

Janelidze, S., Mattei, D., Westrin, Å., Träskman-Bendz, L. & Brundin, L. 2011. Cytokine levels in the blood may distinguish suicide attempters from depressed patients. Brain, Behavior, and Immunity 25(2): 335-339.

Jesulola, E., Micalos, P. & Baguley, I.J. 2018. Understanding the pathophysiology of depression: From monoamines to the neurogenesis hypothesis model-are we there yet? Behavioural Brain Research 341: 79-90.

Kandilarova, S., Stoyanov, D., Sirakov, N., Maes, M. & Specht, K. 2019. Reduced grey matter volume in frontal and temporal areas in depression: Contributions from voxel-based morphometry study. Acta Neuropsychiatrica 31(5): 252-257.

Karrouri, R., Hammani, Z., Benjelloun, R. & Otheman, Y. 2021. Major depressive disorder: Validated treatments and future challenges. World Journal of Clinical Cases 9(31): 9350-9367.

Kendler, K.S., Karkowski, L.M. & Prescott, C.A. 1999. Causal relationship between stressful life events and the onset of major depression. American Journal of Psychiatry 156(6): 837-841.

Kennedy, S.H., Lam, R.W., McIntyre, R.S., Tourjman, S.V., Bhat, V., Blier, P., Hasnain, M., Jollant, F., Levitt, A.J. & MacQueen, G.M. 2016. Canadian network for mood and anxiety treatments (CANMAT) 2016 clinical guidelines for the management of adults with major depressive disorder: Section 3. Pharmacological treatments. The Canadian Journal of Psychiatry 61(9): 540-560.

Kennis, M., Gerritsen, L., van Dalen, M., Williams, A., Cuijpers, P. & Bockting, C. 2020. Prospective biomarkers of major depressive disorder: A systematic review and meta-analysis. Molecular Psychiatry 25(2): 321-338.

Kiecolt-Glaser, J.K., Gouin, J-P., Weng, N., Malarkey, W.B., Beversdorf, D.Q. & Glaser, R. 2011. Childhood adversity heightens the impact of later-life caregiving stress on telomere length and inflammation. Psychosomatic Medicine 73(1): 16.

Kiseleva, A., Kotzinos, D. & De Hert, P. 2022. Transparency of AI in healthcare as a multilayered system of accountabilities: Between legal requirements and technical limitations. Frontiers in Artificial Intelligence 5: 879603.

Köhler, C.A., Freitas, T.H., de Maes, M., De Andrade, N., Liu, C.S., Fernandes, B.S., Stubbs, B., Solmi, M., Veronese, N. & Herrmann, N. 2017. Peripheral cytokine and chemokine alterations in depression: A meta‐analysis of 82 studies. Acta Psychiatrica Scandinavica 135(5): 373-387.

Köhler, C.A., Freitas, T.H., Stubbs, B., Maes, M., Solmi, M., Veronese, N., de Andrade, N.Q., Morris, G., Fernandes, B.S. & Brunoni, A.R. 2018. Peripheral alterations in cytokine and chemokine levels after antidepressant drug treatment for major depressive disorder: Systematic review and meta-analysis. Molecular Neurobiology 55: 4195-4206.

Krishnan, V. & Nestler, E.J. 2008. The molecular neurobiology of depression. Nature 455(7215): 894-902.

Kunugi, H., Hori, H. & Ogawa, S. 2015. Biochemical markers subtyping major depressive disorder. Psychiatry and Clinical Neurosciences 69(10): 597-608.

Lamers, F., Vogelzangs, N., Merikangas, K., De Jonge, P., Beekman, A. & Penninx, B. 2013. Evidence for a differential role of HPA-Axis function, inflammation and metabolic syndrome in melancholic versus atypical depression. Molecular Psychiatry 18(6): 692-699.

Lee, E.E., Torous, J., De Choudhury, M., Depp, C.A., Graham, S.A., Kim, H-C., Paulus, M.P., Krystal, J.H. & Jeste, D.V. 2021. Artificial intelligence for mental health care: Clinical applications, barriers, facilitators, and artificial wisdom. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6(9): 856-864.

Lepping, P., Whittington, R., Sambhi, R.S., Lane, S., Poole, R., Leucht, S., Cuijpers, P., McCabe, R. & Waheed, W. 2017. Clinical relevance of findings in trials of CBT for depression. European Psychiatry 45: 207-211.

Lim, J., Sohn, H., Kwon, M-S. & Kim, B. 2021. White matter alterations associated with pro-inflammatory cytokines in patients with major depressive disorder. Clinical Psychopharmacology and Neuroscience 19(3): 449-458.

Liu, T., Zhong, S., Liao, X., Chen, J., He, T., Lai, S. & Jia, Y. 2015. A meta-analysis of oxidative stress markers in depression. PLoS ONE 10(10): e0138904.

Lopez, J.P., Kos, A. & Turecki, G. 2018. Major depression and its treatment: microRNAs as peripheral biomarkers of diagnosis and treatment response. Current Opinion in Psychiatry 31(1): 7-16.

Maes, M., Mihaylova, I., Kubera, M. & Ringel, K. 2012. Activation of cell-mediated immunity in depression: Association with inflammation, melancholia, clinical staging and the fatigue and somatic symptom cluster of depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry 36(1): 169-175.

Malhi, G.S., Bassett, D., Boyce, P., Bryant, R., Fitzgerald, P.B., Fritz, K., Hopwood, M., Lyndon, B., Mulder, R. & Murray, G. 2015. Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders. Australian & New Zealand Journal of Psychiatry 49(12): 1087-1206.

Mandelli, L., Petrelli, C. & Serretti, A. 2015. The role of specific early trauma in adult depression: A meta-analysis of published literature. Childhood trauma and adult depression. European Psychiatry 30(6): 665-680.

McCall, W.V., Rosenquist, P.B., Kimball, J., Haskett, R., Isenberg, K., Prudic, J., Lasater, B. & Sackeim, H.A. 2011. Health-related quality of life in a clinical trial of ECT followed by continuation pharmacotherapy: Effects immediately after ECT and at 24 weeks. The Journal of ECT 27(2): 97-102.

Montgomery, S. 1989. The efficacy of fluoxetine as an antidepressant in the short and long term. International Clinical Psychopharmacology 4(Suppl 1): 113-119.

National Collaborating Centre for Mental Health. 2010. The treatment and management of depression in adults (updated edition). National Clinical Practice Guideline 90. London: The British Psychological Society and The Royal College of Psychiatrists.

Nobis, A., Zalewski, D. & Waszkiewicz, N. 2020. Peripheral markers of depression. Journal of Clinical Medicine 9(12): 3793.

Osimo, E.F., Pillinger, T., Rodriguez, I.M., Khandaker, G.M., Pariante, C.M. & Howes, O.D. 2020. Inflammatory markers in depression: A meta-analysis of mean differences and variability in 5,166 patients and 5,083 controls. Brain, Behavior, and Immunity 87: 901-919.

Padurariu, M., Ciobica, A., Hritcu, L., Stoica, B., Bild, W. & Stefanescu, C. 2010. Changes of some oxidative stress markers in the serum of patients with mild cognitive impairment and Alzheimer’s disease. Neuroscience Letters 469(1): 6-10.

Pan, A., Keum, N., Okereke, O.I., Sun, Q., Kivimaki, M., Rubin, R.R. & Hu, F.B. 2012. Bidirectional association between depression and metabolic syndrome: A systematic review and meta-analysis of epidemiological studies. Diabetes Care 35(5): 1171-1180.

Penner-Goeke, S. & Binder, E.B. 2019. Epigenetics and depression. Dialogues in Clinical Neuroscience 21(4): 397-405.

Perez-Caballero, L., Torres-Sanchez, S., Romero-López-Alberca, C., González-Saiz, F., Mico, J. & Berrocoso, E. 2019. Monoaminergic system and depression. Cell and Tissue Research 377: 107-113.

Provençal, N., Arloth, J., Cattaneo, A., Anacker, C., Cattane, N., Wiechmann, T., Röh, S., Ködel, M., Klengel, T. & Czamara, D. 2020. Glucocorticoid exposure during hippocampal neurogenesis primes future stress response by inducing changes in DNA methylation. Proceedings of the National Academy of Sciences 117(38): 23280-23285.

Raison, C.L., Capuron, L. & Miller, A.H. 2006. Cytokines sing the blues: Inflammation and the pathogenesis of depression. Trends in Immunology 27(1): 24-31.

Redei, E., Andrus, B., Kwasny, M., Seok, J., Cai, X., Ho, J. & Mohr, D. 2014. Blood transcriptomic biomarkers in adult primary care patients with major depressive disorder undergoing cognitive behavioral therapy. Translational Psychiatry 4(9): e442.

Rimti, F.H., Shahbaz, R., Bhatt, K. & Xiang, A. 2023. A review of new insights into existing major depressive disorder biomarkers. Heliyon 9(8): e18909.

Saatcioglu, O. & Tomruk, N.B. 2011. The use of electroconvulsive therapy in pregnancy: A review. Isr. J. Psychiatry Relat. Sci. 48(1): 6-11.

Savitz, J., Rauch, S.L. & Drevets, W. 2013. Clinical application of brain imaging for the diagnosis of mood disorders: The current state of play. Molecular Psychiatry 18(5): 528-539.

Schiepers, O.J., Wichers, M.C. & Maes, M. 2005. Cytokines and major depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry 29(2): 201-217.

Stetler, C. & Miller, G.E. 2011. Depression and hypothalamic-pituitary-adrenal activation: A quantitative summary of four decades of research. Psychosomatic Medicine 73(2): 114-126.

Strawbridge, R., Arnone, D., Danese, A., Papadopoulos, A., Vives, A.H. & Cleare, A. 2015. Inflammation and clinical response to treatment in depression: A meta-analysis. European Neuropsychopharmacology 25(10): 1532-1543.

Sullivan, P.F., Neale, M.C. & Kendler, K.S. 2000. Genetic epidemiology of major depression: Review and meta-analysis. American Journal of Psychiatry 157(10): 1552-1562.

Tamang, J.P., Watanabe, K. & Holzapfel, W.H. 2016. Diversity of microorganisms in global fermented foods and beverages. Frontiers in Microbiology https://doi.org/10.3389/fmicb.2016.00377

Tørring, N., Sanghani, S., Petrides, G., Kellner, C. & Østergaard, S. 2017. The mortality rate of electroconvulsive therapy: A systematic review and pooled analysis. Acta Psychiatrica Scandinavica 135(5): 388-397.

Turner, C.A., Akil, H., Watson, S.J. & Evans, S.J. 2006. The fibroblast growth factor system and mood disorders. Biological Psychiatry 59(12): 1128-1135.

Twohig, M.P. & Levin, M.E. 2017. Acceptance and commitment therapy as a treatment for anxiety and depression: A review. Psychiatric Clinics 40(4): 751-770.

UK ECT Review Group. 2003. Efficacy and safety of electroconvulsive therapy in depressive disorders: A systematic review and meta-analysis. The Lancet 361(9360): 799-808.

Wium-Andersen, M.K., Ørsted, D.D., Nielsen, S.F. & Nordestgaard, B.G. 2013. Elevated C-reactive protein levels, psychological distress, and depression in 73,131 individuals. JAMA Psychiatry 70(2): 176-184.

Zakaria, F.H., Samhani, I., Mustafa, M.Z. & Shafin, N. 2022. Pathophysiology of depression: Stingless bee honey promising as an antidepressant. Molecules 27(16): 5091.

Zheng, H., Zheng, P., Zhao, L., Jia, J., Tang, S., Xu, P., Xie, P. & Gao, H. 2017. Predictive diagnosis of major depression using NMR-based metabolomics and least-squares support vector machine. Clinica Chimica Acta 464: 223-227.

Zhu, X-L., Chen, J-J., Han, F., Pan, C., Zhuang, T-T., Cai, Y-F. & Lu, Y-P. 2018. Novel antidepressant effects of Paeonol alleviate neuronal injury with concomitant alterations in BDNF, Rac1 and RhoA levels in chronic unpredictable mild stress rats. Psychopharmacology 235(7): 2177-2191.

 

*Corresponding author; email: amanap@kfu.edu.sa

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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