Grant Caroline W, Wilton Angelina R, Kaddurah-Daouk Rima, Skime Michelle, Biernacka Joanna, Mayes Taryn, Carmody Thomas, Wang Liewei, Lazaridis Konstantinos, Weinshilboum Richard, Bobo William V, Trivedi Madhukar H, Croarkin Paul E, Athreya Arjun P
Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, United States.
Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Front Pharmacol. 2022 Oct 3;13:984383. doi: 10.3389/fphar.2022.984383. eCollection 2022.
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. 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 'Pharmacogenomics Research Network Antidepressant Medication Study (PGRN-AMPS)' and 103 'Combining Medications to Enhance Depression Outcomes (CO-MED)' patients with major depressive disorder. This approach enabled characterization and comparison of biological profiles and associated antidepressant treatment outcomes of those with ( = 46) and without ( = 302) a self-reported lifetime history of suicide attempt. 351 SNVs were associated with suicide attempt(s) in the literature. Intronic SNVs in the circadian genes and (encoding the CLOCK:BMAL1 heterodimer) were amongst the top network analysis features to differentiate patients with and without a prior suicide attempt. and differed in their correlations with plasma phosphatidylcholines, kynurenine, amino acids, and carnitines between groups. and -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. 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.
患有重度抑郁症(MDD)且有过自杀未遂终生史的个体,其抗抑郁药反应率低于无自杀未遂史的个体。识别抗抑郁药反应的生物标志物以及自杀未遂终生史,可能有助于优化药物治疗选择,并提高自杀风险评估的客观性。为实现这一目标,本研究试图运用网络科学方法,建立MDD成年患者抗抑郁药反应及自杀未遂终生史的多组学(基因组学和代谢组学)特征。确定文献中与自杀未遂相关的单核苷酸变异(SNV),然后将其与以下内容整合:a)在抗抑郁药物治疗前收集的经p180检测的代谢物,以及b)在245名“药物基因组学研究网络抗抑郁药物研究(PGRN - AMPS)”和103名“联合用药增强抑郁疗效(CO - MED)”的重度抑郁症患者中,使用基于惩罚回归的网络,对治疗8周时抗抑郁药反应的二元测量。这种方法能够对有(n = 46)和无(n = 302)自我报告的自杀未遂终生史的个体的生物学特征及相关抗抑郁治疗结果进行表征和比较。文献中有351个SNV与自杀未遂相关。昼夜节律基因ARNTL和ARNTL2(编码CLOCK:BMAL1异二聚体)中的内含子SNV是区分有无自杀未遂史患者的顶级网络分析特征之一。两组之间,ARNTL和ARNTL2与血浆磷脂酰胆碱、犬尿氨酸、氨基酸和肉碱的相关性存在差异。在无自杀未遂史的个体中,与ARNTL和ARNTL2相关的磷脂酰胆碱与抗抑郁药反应呈正相关,而在有自杀未遂史的组中未观察到这种相关性。结果为有自杀未遂行为的MDD个体中CLOCK:BMAL1昼夜节律过程与循环中的磷脂酰胆碱、犬尿氨酸、氨基酸和肉碱之间的紊乱提供了证据。这种紊乱可能为有自杀未遂终生史的MDD患者与无此终生史的患者之间抗抑郁药物治疗结果的差异提供机制性见解。未来在自杀未遂背景下对CLOCK:BMAL1代谢调节的研究,可能有助于朝着基于生物学的药物治疗选择以及对有自杀未遂终生史的MDD患者亚组的自杀风险分层迈进。