Mental Health Disorders and Their Biological Underpinnings

Mental Health Disorders and Their Biological Underpinnings

  IJETT-book-cover           
  
© 2025 by IJETT Journal
Volume-73 Issue-8
Year of Publication : 2025
Author : Muhammad Akram, Mohammed Khudhair Hasan, Marium Ahsan, Ho Soonmin
DOI : 10.14445/22315381/IJETT-V73I8P112

How to Cite?
Muhammad Akram, Mohammed Khudhair Hasan, Marium Ahsan, Ho Soonmin,"Mental Health Disorders and Their Biological Underpinnings", International Journal of Engineering Trends and Technology, vol. 73, no. 8, pp.137-146, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I8P112

Abstract
Mental health disorders are an important global health problem affecting millions in the population, regardless of age, sex or ethnicity. Alterations in mood, cognition, behavior, and perception are well-documented aspects of these diseases and conditions. Emerging evidence shows that genetics is critical to the onset and expression of mental disorders, pointing to the fact that, while a complex interaction of genetic, environmental, and psychosocial factors is involved in their onset and course, the mind is ultimately the product of a walnut-sized structure buried deep in an animal’s head. Focusing on key areas such as genetics, neurochemistry, neuroanatomy, and neuroplasticity, we seek to review the molecular basis of mental health disorders. We have known for some time that genetic factors make a person more susceptible to mental health issues. Family and twin research studies show that many mental disorders, such as schizophrenia and bipolar disorder, are heritable, although the general conclusion is that it is not a unitary abnormal gene, but rather multiple mutations at various genes are responsible for the high prevalence of any of the common psychiatric disorders, including major depressive disorders. Although the exact pathways remain complex and multifactorial, more refined molecular genetic techniques have now implicated several candidate genes in mental illness. Stress, trauma, drug misuse and other environmental factors can interact with genetic predispositions to influence how these genes are expressed and increase the likelihood of mental health problems. Chemical Balance – Neuro Another critical element of the molecular machinery that anchors mental health issues is a balance between the chemicals in your brain (neurochemicals). These chemical messengers — called neurotransmitters — help neurons talk to each other and are key to regulating behavior, emotion and thinking. Many psychiatric disorders have been associated with the imbalance of neurotransmitter systems, including glutamate, serotonin, dopamine and norepinephrine.

Keywords
Anxiety disorders, Depression, Genetic predisposition, Human and illness, Psychotherapy, Public health, Structural brain changes.

References
[1] Richard A. Dey, James Rainville, and Daniel L. Kent, “What can the History and Physical Examination Tell Us About Low Back Pain?,” JAMA, vol. 268, no. 6, pp. 760-765, 1992.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Shitij Kapur, Anthony Phillips, and Thomas R. Insel, “Why has it taken so Long for Biological Psychiatry to Develop Clinical Tests and What to Do about it?,” Molecular Psychiatry, vol. 17, no. 12, pp. 1174-1179, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Anita L. Stewart et al., “Functional Status and Well-Being of Patients with Chronic Conditions: Results from the Medical Outcomes Study,” JAMA, vol. 262, no. 7, pp. 907-913, 1989.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Benjamin H. Natelson, Your Symptoms are Real: What to do When Your Doctor Says Nothing is Wrong, Turner Publishing, 2009.
[Google Scholar] [Publisher Link]
[5] Jes Olesen et al., “Consensus Document on European Brain Research,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 77, no. suppl 1, pp. i1-i49, 2006.
[Google Scholar] [Publisher Link]
[6] Lee Anna Clark et al., “Three Approaches to Understanding and Classifying Mental Disorder: ICD-11, DSM-5, and the National Institute of Mental Health’s Research Domain Criteria (RDoC),” Psychological Science in the Public Interest, vol. 18, no. 2, pp. 72-145, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Lisa Newington, and Alison Metcalfe, “Factors Influencing Recruitment to Research: Qualitative Study of the Experiences and Perceptions of Research Teams,” BMC Medical Research Methodology, vol. 14, no. 1, pp. 1-11, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Gunter Schumann et al., “Stratified Medicine for Mental Disorders,” European Neuropsychopharmacology, vol. 24, no. 1, pp. 5-50, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Anupam Sah, and Nicolas Singewald, “The (neuro) Inflammatory System in Anxiety Disorders and PTSD: Potential Treatment Targets,” Pharmacology & Therapeutics, vol. 269, pp. 1-24, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Terri N. Sullivan et al., “Associations between Sadness and Anger Regulation Coping, Emotional Expression, and Physical and Relational Aggression among Urban Adolescents,” Social Development, vol. 19, no. 1, pp. 30-51, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Cynthia Suveg et al., “The Emotion Dysregulation Model of Anxiety: A Preliminary Path Analytic Examination,” Journal of Anxiety Disorders, vol. 24, no. 8, pp. 924-930, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Amelia Aldao, and Susan Nolen-Hoeksema, “Specificity of Cognitive Emotion Regulation Strategies: A Transdiagnostic Examination,” Behaviour Research and Therapy, vol. 48, no. 10, pp. 974-983, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Paula J. Fite et al., “Reactive and Proactive Aggression in Adolescent Males: Examining Differential Outcomes 10 Years Later in Early Adulthood,” Criminal Justice and Behavior, vol. 37, no. 2, pp. 141-157, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Pedro Avero, and Manuel G. Calvo, “Emotional Reactivity to Social-Evaluative Stress: Gender Differences in Response Systems Concordance,” Personality and Individual Differences, vol. 27, no. 1, pp. 155-170, 1999.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Tal Carthy et al., “Emotional Reactivity and Cognitive Regulation in Anxious Children,” Behaviour Research and Therapy, vol. 48, no. 5, pp. 384-393, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[16] David J. Kolko et al., “Internalizing Symptoms and Affective Reactivity in Relation to the Severity of Aggression in Clinically Referred, Behavior - Disordered Children,” Journal of Child and Family Studies, vol. 16, pp. 745-759, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Christina Stadler et al., “Effects of Provocation on Emotions and Aggression: An Experimental Study with Aggressive Children,” Swiss Journal of Psychology, vol. 65, no. 2, pp. 117-124, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Tal Carthy et al., “Patterns of Emotional Reactivity and Regulation in Children with Anxiety Disorders,” Journal of Psychopathology and Behavioral Assessment, vol. 32, no. 1, pp. 23-36, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Sophie C. Reid, Karen Salmon, and Peter F. Lovibond, “Cognitive Biases in Childhood Anxiety, Depression, and Aggression: Are they Pervasive or Specific?,” Cognitive Therapy and Research, vol. 30, no. 5, pp. 531-549, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Aaron T. Beck, Cognitive Therapy and the Emotional Disorders, International Universities Press, 1976.
[Google Scholar]
[21] Carolyn Schniering, and Ronald Rapee, “The Relationship between Automatic thoughts and Negative Emotions in Children and Adolescents: A Test of the Cognitive Content-Specificity Hypothesis,” Journal of Abnormal Psychology, vol. 113, no. 3, pp. 464-470, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Jesse L. Loudin, Alexandra Loukas, and Sheri Robinson, “Relational Aggression in College Students: Examining the Roles of Social Anxiety and Empathy,” Aggressive Behavior, vol. 29, no. 5, pp. 430-439, 2003.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Carl F. Weems, and Wendy K. Silverman, “An Integrative Model of Control: Implications for Understanding Emotion Regulation and Dysregulation in Childhood Anxiety,” Journal of Affective Disorders, vol. 91, no. 2-3, pp. 113-124, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Mara Brendgen et al., “Is there a Dark Side of Positive Illusions? Overestimation of Social Competence and Subsequent Adjustment in Aggressive and Nonaggressive Children,” Journal of Abnormal Child Psychology, vol. 32, no. 3, pp. 305-320, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Brandon G. Scott, and Carl F. Weems, “Patterns of Actual and Perceived Control: Are Control Profiles Differentially Related to Internalizing and Externalizing Problems in Youth?,” Anxiety, Stress & Coping: An International Journal, vol. 23, no. 5, pp. 515-528, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Jorge Grimaldos et al., “Augmented Reality Exposure Treatments in Anxiety and Related Disorders: A Systematic Review,” Internet Interventions, vol. 39, pp. 1-11, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Siyu Zhou et al., “Moderators of Cognitive and Behaviour Therapies for Prevention and Treatment of Anxiety Disorders in Children and Adolescents: A Systematic Review and Meta-Analysis,” Clinical Psychology Review, vol. 116, pp. 1-15, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Stefan G. Hofmann, Chantal Kasch, and Andreas Reis, “Effect Sizes of Randomized-Controlled Studies of Cognitive Behavioral Therapy for Anxiety Disorders Over the Past 30 Years,” Clinical Psychology Review, vol. 117, pp. 1-12, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Charlotte Archer et al., “Beta-Blockers for the Treatment of Anxiety Disorders: A Systematic Review and Meta-Analysis,” Journal of Affective Disorders, vol. 368, pp. 90-99, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Ronald C. Kessler et al., Epidemiology of Anxiety Disorders, Behavioral Neurobiology of Anxiety and its Treatment, 1st ed., Springer, Berlin, Heidelberg, pp. 21-35, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Xinxin Yang et al., “Efficacy and Acceptability of Brain Stimulation for Anxiety Disorders, OCD, and PTSD: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials,” Journal of Affective Disorders, vol. 370, pp. 62-75, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Erica Dall’Armellina et al., “Cardiac Diffusion-Weighted and Tensor Imaging: A Consensus Statement from the Special Interest Group of the Society for Cardiovascular Magnetic Resonance,” Journal of Cardiovascular Magnetic Resonance, vol. 27, no. 1, pp. 1-20, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Adriano Yacubian Fernandes et al., “MR Diffusion Tensor Imaging Applied to the Spinal Cord of Patients with Neuropathic Pain Secondary to Herpes Zoster Infection,” Journal of Clinical Neuroscience, vol. 130, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Jie Zhu et al., “Diffusion-Weighted, Intravoxel Incoherent Motion, and Diffusion Kurtosis Tensor MR Imaging in Chronic Kidney Diseases: Correlations with Histology,” Magnetic Resonance Imaging, vol. 106, pp. 1-7, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Bruno Dietsche, Tilo Kircher, and Irina Falkenberg, “Structural Brain Changes in Schizophrenia at Different Stages of the Illness: A Selective Review of Longitudinal Magnetic Resonance Imaging Studies,” Australian & New Zealand Journal of Psychiatry, vol. 51, no. 5, pp. 500-508, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Linghan Sun et al., “Psychotherapies for Social Anxiety Disorder in Adults: A Systematic Review and Bayesian Network Meta-Analysis,” Journal of Affective Disorders, vol. 378, pp. 301-319, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Marisa Schurr et al., “Psychotherapy in Patients with Long/Post - COVID - A Systematic Review on the Feasibility, Acceptability, Safety, and Efficacy of Available and Emerging Interventions,” Journal of Psychosomatic Research, vol. 190, pp. 1-12, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Carolina Seybert et al., “Quality of Reporting on Psychological Interventions in Psychedelic Treatments: A Systematic Review,” The Lancet Psychiatry, vol. 12, no. 1, pp. 54-66, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Taylor Rogan, and Samuel T. Wilkinson, “The Role of Psychotherapy in the Management of Treatment-Resistant Depression,” Psychiatric Clinics, vol. 46, no. 2, pp. 349-358, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[40] Priscila R. Toledo et al., “Interpersonal Psychotherapy for Treatment of Obesity: A Systematic Review and Meta-Analysis,” Journal of Affective Disorders, vol. 320, pp. 319-329, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[41] Nisha Giridharan et al., “Psychotherapy for Treatment-Resistant Obsessive-Compulsive Disorder,” Advances in Psychiatry and Behavioral Health, vol. 3, no. 1, pp. 1-10, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[42] Michael Shapiro, “Psychodynamic Formulation and Psychodynamic Psychotherapy for Pediatric Anxiety Disorders,” Child and Adolescent Psychiatric Clinics, vol. 32, no. 3, pp. 559-572, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Sia Pei Ling et al., “Role of Immunotherapy in the Treatment of Cancer: A Systematic Review,” Cancers, vol. 14, no. 21, pp. 1-18, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Michael Barkham, Wolfgang Lutz, and Louis G. Castonguay, Bergin and Garfield's Handbook of Psychotherapy and Behavior Change, 7th ed., John Wiley & Sons, pp. 1-848, 2021.
[Google Scholar] [Publisher Link]
[45] Yi Liu, Kathleen Calzone, and Lisa J. McReynolds, “Genetic Predisposition to Myelodysplastic Syndrome: Genetic Counseling and Transplant Implications,” Seminars in Hematology, vol. 61, no. 6, pp. 370-378, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Martin Hennenberg et al., “Genetic Predisposition to Benign Prostatic Hyperplasia: Where Do We Stand?” European Urology Open Science, vol. 70, pp. 154-157, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[47] Rongchang Guo et al., “Pulmonary Function, Genetic Predisposition, and the Risk of Cirrhosis: A Prospective Cohort Study,” Preventive Medicine, vol. 185, pp. 1-24, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[48] Chengyong Jia et al., “Genetic Predisposition to Impaired Beta-Cell Function Modifies the Association between Serum Pyrethroid Levels and the Risk of Type 2 Diabetes: A Gene-Environment Interaction Study,” Ecotoxicology and Environmental Safety, vol. 284, pp. 1-10, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[49] Gustavo de los Campos, Daniel Gianola, and David B. Allison, “Predicting Genetic Predisposition in Humans: The Promise of Whole-Genome Markers,” Nature Reviews Genetics, vol. 11, no. 12, pp. 880-886, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Yajuan Zhang et al., “Resting-State Functional Connectivity of the Raphe Nuclei in Major Depressive Disorder: A Multi-Site Study,” NeuroImage: Clinical, vol. 37, pp. 1-10, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[51] Xueru Li et al., “Climate Change and Depressive Disorders in Middle-Aged and Older People in China: A Quasi-Experimental Study,” Journal of Environmental Psychology, vol. 92, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[52] Ji hyun An et al., “Association of Physical Activity with the Risk of Parkinson's Disease in Depressive Disorder: A Nationwide Longitudinal Cohort Study,” Journal of Psychiatric Research, vol. 167, pp. 93-99, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[53] Eugene S. Paykel, “Basic Concepts of Depression,” Dialogues in Clinical Neuroscience, vol. 10, no. 3, pp. 279-289, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[54] El-Sayed Atlam et al., “Explainable Artificial Intelligence Systems for Predicting Mental Health Problems in Autistics,” Alexandria Engineering Journal, vol. 117, pp. 376-390, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[55] Jamin Patel, Caitlin Hung, and Tarun Reddy Katapally, “Evaluating Predictive Artificial Intelligence Approaches used in Mobile Health Platforms to Forecast Mental Health Symptoms among Youth: A Systematic Review,” Psychiatry Research, vol. 343, pp. 1-13, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[56] Anne-Kathrin Kleine et al., “AI-Enabled Clinical Decision Support Tools for Mental Healthcare: A Product Review,” Artificial Intelligence in Medicine, vol. 160, pp. 1-11, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[57] A. Natto Hatim et al., “Artificial Intelligence in Combating Antimicrobial Resistance,” Archives of Razi Institute, vol. 80, no. 3, pp. 605-613, 2025.
[CrossRef] [Google Scholar] [Publisher Link]