@article{1c9868509ab147728acbbec44efe5f96,
title = "Network science approach elucidates integrative genomic-metabolomic signature of antidepressant response and lifetime history of attempted suicide in adults with major depressive disorder",
abstract = "Background: Individuals with major depressive disorder (MDD) and a lifetime history of attempted suicide demonstrate lower antidepressant response rates than those without a prior suicide attempt. Identifying biomarkers of antidepressant response and lifetime history of attempted suicide may help augment pharmacotherapy selection and improve the objectivity of suicide risk assessments. Towards this goal, this study sought to use network science approaches to establish a multi-omics (genomic and metabolomic) signature of antidepressant response and lifetime history of attempted suicide in adults with MDD. Methods: Single nucleotide variants (SNVs) which associated with suicide attempt(s) in the literature were identified and then integrated with a) p180-assayed metabolites collected prior to antidepressant pharmacotherapy and b) a binary measure of antidepressant response at 8 weeks of treatment using penalized regression-based networks in 245 {\textquoteleft}Pharmacogenomics Research Network Antidepressant Medication Study (PGRN-AMPS){\textquoteright} and 103 {\textquoteleft}Combining Medications to Enhance Depression Outcomes (CO-MED){\textquoteright} patients with major depressive disorder. This approach enabled characterization and comparison of biological profiles and associated antidepressant treatment outcomes of those with (N = 46) and without (N = 302) a self-reported lifetime history of suicide attempt. Results: 351 SNVs were associated with suicide attempt(s) in the literature. Intronic SNVs in the circadian genes CLOCK and ARNTL (encoding the CLOCK:BMAL1 heterodimer) were amongst the top network analysis features to differentiate patients with and without a prior suicide attempt. CLOCK and ARNTL differed in their correlations with plasma phosphatidylcholines, kynurenine, amino acids, and carnitines between groups. CLOCK and ARNTL-associated phosphatidylcholines showed a positive correlation with antidepressant response in individuals without a prior suicide attempt which was not observed in the group with a prior suicide attempt. Conclusion: Results provide evidence for a disturbance between CLOCK:BMAL1 circadian processes and circulating phosphatidylcholines, kynurenine, amino acids, and carnitines in individuals with MDD who have attempted suicide. This disturbance may provide mechanistic insights for differential antidepressant pharmacotherapy outcomes between patients with MDD with versus without a lifetime history of attempted suicide. Future investigations of CLOCK:BMAL1 metabolic regulation in the context of suicide attempts may help move towards biologically-augmented pharmacotherapy selection and stratification of suicide risk for subgroups of patients with MDD and a lifetime history of attempted suicide.",
keywords = "circadian rhythm, depression, genomics, machine learning, multi-omics, suicide",
author = "Grant, {Caroline W.} and Wilton, {Angelina R.} and Rima Kaddurah-Daouk and Michelle Skime and Joanna Biernacka and Taryn Mayes and Thomas Carmody and Liewei Wang and Konstantinos Lazaridis and Richard Weinshilboum and Bobo, {William V.} and Trivedi, {Madhukar H.} and Croarkin, {Paul E.} and Athreya, {Arjun P.}",
note = "Funding Information: This work is supported by the Harry C. and Debra A. Stonecipher Predoctoral Fellowship at the Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic Summer Undergraduate Research Fellowship, National Science Foundation (NSF) under grant IIS-2041339; National Institutes of Health (NIH) under grants R01 GM028157, R01 AA027486, U19 AG063744, N01 MH90003, R01 AG046171, R01 MH113700, R01 MH124655, U01 AG061359, R01 AG057452, RF1 AG051550 and R01 MH108348; the Hersh Foundation, the Duke Proteomics and Metabolomics Shared Resource, the Blue Gator Foundation, and the Mayo Clinic Center for Individualized Medicine. The CO-MED study received medications at no cost from Forest Pharmaceuticals, GlaxoSmithKline, Organon, and Wyeth Pharmaceuticals. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF or the NIH. Funding Information: The PGRN-AMPS data has been deposited in dbGaP (study accession phs000670. v1. p.1). Funding for the CO-MED project was exclusively provided through institutional resources. Data supporting the conclusions of this article will be made available by contacting the authors, without undue reservation. Funding Information: This work is supported by the Harry C. and Debra A. Stonecipher Predoctoral Fellowship at the Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic Summer Undergraduate Research Fellowship, National Science Foundation (NSF) under grant IIS-2041339; National Institutes of Health (NIH) under grants R01 GM028157, R01 AA027486, U19 AG063744, N01 MH90003, R01 AG046171, R01 MH113700, R01 MH124655, U01 AG061359, R01 AG057452, RF1 AG051550 and R01 MH108348; the Hersh Foundation, the Duke Proteomics and Metabolomics Shared Resource, the Blue Gator Foundation, and the Mayo Clinic Center for Individualized Medicine. The CO-MED study received medications at no cost from Forest Pharmaceuticals, GlaxoSmithKline, Organon, and Wyeth Pharmaceuticals. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF or the NIH. Publisher Copyright: Copyright {\textcopyright} 2022 Grant, Wilton, Kaddurah-Daouk, Skime, Biernacka, Mayes, Carmody, Wang, Lazaridis, Weinshilboum, Bobo, Trivedi, Croarkin and Athreya.",
year = "2022",
month = oct,
day = "3",
doi = "10.3389/fphar.2022.984383",
language = "English (US)",
volume = "13",
journal = "Frontiers in Pharmacology",
issn = "1663-9812",
publisher = "Frontiers Media S. A.",
}