Sep 2026· International Journal of Neuropsychopharmacology· Vol 29, pp. i58 - i58· 0 citations
TL;DR
Correlating deep clinical assessments, genomic variations, and phenotypes at various levels may help to understand the biological links related to disease mechanisms in psychiatry.
Abstract
Abstract Background Major psychiatric illnesses are highly heritable, yet the search for replicable genetic and neurobiological mechanisms has proven highly challenging. One of the major reasons for this non-replicability is the focus on discrete clinical disease constructs, as categorized in current classificatory systems. Studying large numbers of multiplex families with affected members having several psychiatric illnesses, and unaffected relatives, would provide the most statistically robust method for the identification of neurocognitive endophenotypes that cut across traditional diagnostic boundaries. Aims & Objectives The Centre for Brain and Mind (CBM) is such an attempt to develop a family-based longitudinal cohort and biobank of major psychiatric illnesses in India. Method CBM has longitudinal family cohorts of schizophrenia, bipolar disorder, obsessive-compulsive disorder, addiction and Alzheimer’s dementia, along with their unaffected first-degree relatives (FDR) and population healthy controls. All individuals undergo detailed clinical assessments, and a blood sample is drawn to isolate DNA and peripheral blood mononuclear cells. Genetic studies are conducted in parallel with deep endophenotype assessments (cognition, brain imaging, psychophysics and electroencephalogram) and induced pluripotent stem cell (IPSC) generation to develop a comprehensive understanding of the biology of these disorders. Results So far, we have screened ca. 5000 families and recruited 900 families (3500 individuals) with multiple affected members, and 500 population healthy controls. Deep endophenotype assessments have been performed in 700 families (2500 individuals) and 300 population healthy controls. Whole exome sequencing (N=500) and IPSC generation (N=120) have been performed for a subset of individuals. We identified general factor of cognition as a transdiagnostic endophenotype. Minor physical anomalies and gaze fixation abnormalities were found to be specific for psychotic disorders (schizophrenia and psychotic mood disorders). Adverse childhood events were found to worsen the cognitive deficits in FDRs. Whole exome sequencing identified rare damaging variants in several genes related to neurodevelopment, and subsequent studies in IPSC derived neural precursors and cortical organoids showed cell migration deficits. Specific cell signatures of lithium treatment response (mitochondrial bioenergetics) in bipolar disorder and clozapine response (actin cytoskeleton) in schizophrenia were identified. Discussion & Conclusions Overall, we find various interesting leads about the biology of major psychiatric illnesses using the CBM study sample in India. Correlating deep clinical assessments, genomic variations, and phenotypes at various levels (cell, tissue, organ and system) may help us understand the biological links related to disease mechanisms in psychiatry.
Abstract Background Mood disorders are major contributors to the global burden of disease. There is a critical need for reliable markers that can identify individuals at elevated risk for developing mood disorders and predict poor prognosis among those already affected, in order to guide personalized interventions. Aim...
A. Sankar, B. Ozenne, V. Dam et al.· International Journal of Neu...· 0 citations
BACKGROUND
Temperamental profiles and adverse childhood experiences (ACEs) have been reported in most major psychiatric disorders. However, the nature of this relationship is complex and under-studied.
METHODS
A total of 1162 individuals (N = 532 affected; N = 457 unaffected first-degree relatives (FDRs) and N = 173...
P. Dayalamurthy, S. Balachander, S. P. Lakkireddy et al.· Journal of Affective Disorde...· 0 citations
Abstract Background Early identification of individuals at clinical high risk (CHR) for psychosis is crucial for timely intervention and better outcomes. Structural brain changes and cognitive impairments are independently linked to the risk of psychosis; however, the combined utility of these factors for early-stage i...
W. Yimeng, B. Qijing, L. Tian et al.· International Journal of Neu...· 0 citations
Assessment of phenotypes-self-reported health-related behaviors, geolocation, diagnoses and medication, in- and outpatient visits, cancer registry and cause of death-and comparison of disease patterns against national estimates and the UK Biobank cohort are provided.
Vincent J. Straub, S. Benonisdottir, Giovanni Scotti Bentivoglio et al.· Nature Medicine· 1 citation
Abstract Background and Hypothesis Schizophrenia spectrum disorders (SSDs) produce severe symptoms, disability, and premature mortality, but only partially effective symptomatic treatments exist. Treatment development is impeded by lack of insight into disease mechanisms or objective biomarkers for clinical trials. Adv...
Mohini Ranganathan, Susan G. Jakob, F. Cerrato et al.· Schizophrenia bulletin· 0 citations
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