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ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Neuropharmacology
Volume 15 - 2024 |
doi: 10.3389/fphar.2024.1444342
Integrated bioinformatics and interaction analysis to advance chronotherapies for mental disorders
Provisionally accepted- 1 Indian Institute of Technology Hyderabad, Hyderabad, India
- 2 Swinburne University of Technology, Hawthorn, Victoria, Australia
Robust connections have been identified between the pathophysiology of mental disorders and the functioning of the circadian system. The overarching objective of this study was to investigate the potential for circadian rhythms to be leveraged for therapeutics in mental disorders. We considered two approaches to chronotherapy – optimal timing of existing medications (‘clocking the drugs’) and redressing circadian abnormalities with small molecules (‘drugging the clock’). Firstly, an analysis of transcript-level rhythmic patterns in recognized drug targets for mental disorders found that 24-hour rhythmic patterns were measurable in 54.4% of targets in mice and 35.2% in humans. We also identified several drug receptors exhibiting 24-hour rhythmicity involved in critical physiological pathways for neural signaling and communication, such as neuroactive ligand-receptor interaction, calcium signaling pathway, cAMP signaling pathway, and dopaminergic and cholinergic synapses. These findings suggest that further research into the timing of drug administration in mental disorders is urgently required. Secondly, we assessed whether circadian rhythm-modulating compounds can interact with the prominent drug targets of mental disorders. Utilizing computational tools like molecular docking and molecular dynamics simulation analysis, we observed that many pharmacological modulators of mammalian circadian rhythms, including KL001, SR8278, SR9009, Nobiletin, and MLN4924, exhibit stable binding with psychotropic drug targets. These findings suggest that circadian clock-modulating pharmacologically active small molecules could be investigated further for repurposing in the treatment of mood disorders. In summary, the present analyses indicate the potential of chronotherapeutic approaches to mental disorder pharmacotherapy and specify the need for future circadian rhythm-oriented clinical research.
Keywords: Mental Disorders, Chronotherapeutics, Circadian Rhythm, Interaction Analysis, Molecular dyna mics simulations
Received: 05 Jun 2024; Accepted: 12 Nov 2024.
Copyright: © 2024 Bhatnagar, Raj, Das, Kannihali, Rajakumara, Murray and Ray. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Greg Murray, Swinburne University of Technology, Hawthorn, 3122, Victoria, Australia
Sandipan Ray, Indian Institute of Technology Hyderabad, Hyderabad, India
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