Psychiatric disorders are heterogeneous conditions with diverse symptom and course profiles. This complicates pathophysiology studies as different biological and environmental mechanisms could lead to the same disorders. Unravelling this heterogeneity is important to be able to provide precision medicine. Penninx focuses on further unravelling the heterogeneity of depression using genomics (DNA, RNA, epigenetics) as well as other ‘-omics’ (metabolomics, proteomics). In her Netherlands Study of Depression and Anxiety, detailed phenotyping is combined with biobanking in seven waves covering 15 years of data collection. Using these rich resources, it has been shown that about one-third of all depressed patients illustrates an immunometabolic depression profile, where atypical, energy-related symptoms (fatigue, hypersomnia, weight increase, leaden paralysis) are predominant and co-occur with higher (genetic vulnerabilities for) immunometabolic dysregulations. The other two-thirds of all depressed patients can be characterized by a more typical depression profile, with e.g. melancholia, and pathophysiology that is more characterized by HPA-axis dysregulations, adverse life events and a genetic vulnerability that is more overlapping with e.g. schizophrenia. Penninx's work illustrates that genomics in combination with other detailed phenotyping contributes to further disentangle the heterogeneity of mental disorders, paving the way towards personalized medicine.
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