Multidimensional predictors of antidepressant responses: Integrating mitochondrial, genetic, metabolic and environmental factors with clinical outcomes.

Major depressive disorder (MDD) is a primary psychiatric illness worldwide; there is a dearth of new mechanistic models for the development of better therapeutic strategies. Although we continue to discover individual biological factors, a major challenge is the identification of integrated, multidimensional traits underlying the complex heterogeneity of depression and treatment outcomes. Here, we set out to ascertain the emergence of the novel mitochondrial mediator of epigenetic function acetyl-L-carnitine (LAC) in relation to previously described individual predictors of antidepressant responses to the insulin-sensitizing agent pioglitazone. Herein, we report that i) subjects with MDD and shorter leukocyte telomere length (LTL) show decreased levels of LAC, increased BMI, and a history of specific types of childhood trauma; and that ii) these multidimensional factors spanning mitochondrial metabolism, cellular aging, metabolic function, and childhood trauma provide more detailed signatures to predict longitudinal changes in depression severity in response to pioglitazone than individual factors. The findings of multidimensional signatures involved in the pathophysiology of depression and their role in predicting treatment outcomes provide a starting point for the development of a mechanistic framework linking biological networks and environmental factors to clinical outcomes in pursuit of personalized medicine strategies to effectively treat MDD.

Multidimensional Predictors of Susceptibility and Resilience to Social Defeat Stress.

BACKGROUND: Previous studies identified several separate risk factors for stress-induced disorders. However, an integrative model of susceptibility versus resilience to stress including measures from brain-body domains is likely to yield a range of multiple phenotypic information to promote successful adaptation to stress. METHODS: We used computational and molecular approaches to test whether 1) integrative brain-body behavioral, immunological, and structural domains characterized and predicted susceptibility or resilience to social defeat stress (SDS) in mice and 2) administration of acetyl-L-carnitine promoted resilience at the SDS paradigm. RESULTS: Our findings identified multidimensional brain-body predictors of susceptibility versus resilience to SDS. The copresence of anxiety, decreased hippocampal volume, and elevated systemic interleukin-6 characterized a susceptible phenotype that developed behavioral and neurobiological deficits after exposure to SDS. The susceptible phenotype showed social withdrawal and impaired transcriptomic-wide changes in the ventral dentate gyrus after SDS. At the individual level, a computational approach predicted whether a given animal developed SDS-induced social withdrawal, or remained resilient, based on the integrative in vivo measures of anxiety and immune system function. Finally, we provide initial evidence that administration of acetyl-L-carnitine promoted behavioral resilience at the SDS paradigm. CONCLUSIONS: The current findings of multidimensional brain-body predictors of susceptibility versus resilience to stress provide a starting point for in vivo models of mechanisms predisposing apparently healthy individuals to develop the neurobiological and behavioral deficits resulting from stress exposure. This framework can lead to novel therapeutic strategies to promote resilience in susceptible phenotypes.