Conceptual endophenotypes: A strategy to advance the impact of psychoneuroendocrinology in precision medicine

PSYCHONEUROENDOCRINOLOGY

卷:89

Article

Hellhammer, Dirk¹  Meinlschmidt, Gunther^2,3,4,5  Pruessner, Jens C.⁶ 

[1] Univ Trier, Dept Psychol, D-54286 Trier, Germany

[2] Univ Basel, Fac Med, Dept Psychosomat Med, Hebelstr 2, CH-4031 Basel, Switzerland

[3] Univ Hosp Basel, Hebelstr 2, CH-4031 Basel, Switzerland

[4] Univ Basel, Dept Psychol, Div Clin Psychol & Epidemiol, Missionsstr 60-62, CH-4055 Basel, Switzerland

[5] Int Psychoanalyt Univ, Div Clin Psychol & Cognit Behav Therapy, Stromstr 1, D-10555 Berlin, Germany

[6] Univ Konstanz, Dept Psychol, D-78457 Constance, Germany

关键词: Biomarker;    Personalized medicine;    Precision medicine;    Precision psychiatry;    Research domain criteria (RDoC);    Neuropattern;   

DOI  :  10.1016/j.psyneuen.2017.12.009

来源: Elsevier

【 摘 要 】

Psychobiological research has generated a tremendous amount of findings on the psychological, neuroendocrine, molecular and environmental processes that are directly relevant for mental and physical health, but have overwhelmed our capacity to meaningfully absorb, integrate, and utilize this knowledge base. Here, we reflect about suitable strategies to improve the translational success of psychoneuroendocrinological research in the era of precision medicine. Following a strategy advocated by the National Research Council and the tradition of endophenotype based research, we advance here a new approach, termed conceptual endophenotypes. We define the contextual and formal criteria of conceptual endophenotypes, outline criteria for filtering and selecting information, and describe how conceptual endophenotypes can be validated and implemented at the bedside. As proof-of-concept, we describe some of our findings from research that has adopted this approach in the context of stress-related disorders. We argue that conceptual endophenotypes engineer a bridge between the bench and the bedside. This approach readily lends itself to being continuously developed and implemented. Recent methodological advances, including digital phenotyping, machine learning, grassroots collaboration, and a learning healthcare system, may accelerate the development and implementation of this conceptual endophenotype approach.

【 授权许可】

Free