Evidence is accumulating that the main chronic diseases of aging Alzheimer’s disease (AD) and type-2 diabetes mellitus (T2DM) share common pathophysiological mechanisms. This study aimed at applying systems biology approaches to increase the knowledge of the shared molecular pathways underpinnings of AD and T2DM. We analysed transcriptomic data of post-mortem AD and T2DM human brains to obtain disease signatures of AD and T2DM and combined them with protein-protein interaction information to construct two disease-specific networks. The overlapping AD/T2DM network proteins were then used to extract the most representative Gene Ontology biological process terms. The expression of genes identified as relevant was studied in two AD models, 3xTg-AD and ApoE3/ApoE4 targeted replacement mice. The present transcriptomic data analysis revealed a principal role for autophagy in the molecular basis of both AD and T2DM. Our experimental validation in mouse AD models confirmed the role of autophagy-related genes. Among modulated genes, Cyclin-Dependent Kinase Inhibitor 1B, Autophagy Related 16-Like 2, and insulin were highlighted. In conclusion, the present investigation revealed autophagy as the central dys-regulated pathway in highly co-morbid diseases such as AD and T2DM allowing the identification of specific genes potentially involved in disease pathophysiology which could become novel targets for therapeutic intervention.

The identification of biomarkers of response might speed drug development and set the premises to assist clinical practice in psychiatry. In this work, we evaluated a panel of peripheral biomarkers (including IL-6, IL-10, TNF-α, TNFRII, BDNF, CRP, MMP9 and PAI1) in depressed patients receiving paroxetine, venlafaxine, or placebo. Samples were obtained from two randomised placebo-controlled studies evaluating the efficacy and tolerability of a novel drug candidate, using either paroxetine or venlafaxine as active comparators. In both studies, the biomarker candidates were analysed in plasma collected at randomization and after 10 weeks of treatment with either placebo or active comparator (for a total of 106 and 108 subjects in the paroxetine and venlafaxine study, respectively). Data were obtained by multiplexing sandwich-ELISA system. Data were subjected to statistical analysis to assess their correlation with baseline severity and with response outcome. Increases in biomarker levels were correlated with reduction in depression severity for TNF-α, IL-6 IL-10 and CRP. Response to paroxetine treatment correlated with baseline IL-10, IL-6 and TNF-α levels, with the strongest signal being observed in males. In the venlafaxine study, a correlation was observed only between CRP level at randomisation and response, suggesting differences between the two active treatments and the two studies. Our investigations suggest that a combination of pro- and anti-inflammatory cytokines may predict response outcome in patients treated with paroxetine. The potential for IL-10, IL-6 and TNF-α as response biomarkers for a wider range of antidepressants warrants further investigations in clinical trials with other monoamine reuptake inhibitors.

Accumulating evidences underlie the importance of the interplay between environmental and genetic factors in contributing to the risk to develop mental illness. Brain-derived neurotrophic factor (BDNF) and its Tyrosine receptor kinase B (TrkB) receptor play a fundamental contribution to brain development and plastic adaptations to life events. In the present study, the potential for the BDNF/TrkB contribution in increasing vulnerability to negative social experiences was assessed by subjecting TrkB.T1 overexpressing mice to a chronic social defeat model. TrkB.T1 mice overexpress the dominant-negative truncated splice variant of TrkB receptor leading to decreased BDNF signaling. After repeated social defeat, mice were assessed in a longitudinal study for behavioral, physiological, endocrine and immune responses potentially related to psychiatric endophenotypes. TrkB.T1 overexpression corresponded to smaller changes in metabolic parameters such as body weight, food intake, feed efficiency and peripheral ghrelin levels compared with wild-type (wt) littermates following social defeat. Interestingly, 4 weeks after the last defeat, TrkB.T1 overexpressing mice exhibited more consistent social avoidance effects than what observed in wt subjects. Finally, previously unreported effects of TrkB mutations could be observed on lymphoid organ weight and on peripheral immune biomarker levels, such as interleukin-1α and regulated on activation, normal, T-cell expressed, and secreted (RANTES), thus suggesting a systemic role of BDNF signaling in immune function. In conclusion, the present data support a contribution of TrkB to stress vulnerability that, given the established role of TrkB in the response to antidepressant treatment, calls for further studies addressing the link between stress susceptibility and variability in drug efficacy.