Reactive oxygen species (ROS) are generated following ligand-receptor interactions and function as specific second messengers in signaling cascades involved in cell proliferation and differentiation. Although ROS are generated intracellularly by several sources, including mitochondria, the primary sources of ROS involved in receptor-mediated signaling cascades are plasma membrane oxidases, preferentially NADPH oxidases, with a rapid kinetics of activation and inactivation. This allows a tight up- and downregulation of intracellular ROS levels within the short time required for the transduction of signals from the plasma membrane to the cell nucleus. The mode of action of ROS may involve direct interaction with specific receptors, and/or redox-activation of members of signaling pathways such as protein kinases, protein phosphatases, and transcription factors. Furthermore, ROS act in concert with intracellular Ca²⁺ in signaling pathways which regulate the balance of cell proliferation versus cell cycle arrest and cell death. The delicate intracellular interplay between oxidizing and reducing equivalents allows ROS to function as second messengers in the control of cell proliferation and differentiation.

The present review discusses validity aspects of the Beck Depression Inventory (BDI) on the basis of meta-analyses of studies on the psychometric properties. Shortcomings of the BDI are its high item difficulty, lack of representative norms, and thus doubtful objectivity of interpretation, controversial factorial validity, instability of scores over short time intervals (over the course of 1 day), and poor discriminant validity against anxiety. Advantages of the inventory are its high internal consistency, high content validity, validity in differentiating between depressed and nondepressed subjects, sensitivity to change, and international propagation. The present paper outlines agreements and contradictions between the various studies on the BDI and discusses the potential factors (composition of the subject sample, statistical procedures, point in time of measurement) accounting for the variance in their results.

Alzheimer’s disease (AD), the most common form of dementia, shares many aspects of abnormal brain aging. We present a novel magnetic resonance imaging (MRI)-based biomarker that predicts the individual progression of mild cognitive impairment (MCI) to AD on the basis of pathological brain aging patterns. By employing kernel regression methods, the expression of normal brain-aging patterns forms the basis to estimate the brain age of a given new subject. If the estimated age is higher than the chronological age, a positive brain age gap estimation (BrainAGE) score indicates accelerated atrophy and is considered a risk factor for conversion to AD. Here, the BrainAGE framework was applied to predict the individual brain ages of 195 subjects with MCI at baseline, of which a total of 133 developed AD during 36 months of follow-up (corresponding to a pre-test probability of 68%). The ability of the BrainAGE framework to correctly identify MCI-converters was compared with the performance of commonly used cognitive scales, hippocampus volume, and state-of-the-art biomarkers derived from cerebrospinal fluid (CSF). With accuracy rates of up to 81%, BrainAGE outperformed all cognitive scales and CSF biomarkers in predicting conversion of MCI to AD within 3 years of follow-up. Each additional year in the BrainAGE score was associated with a 10% greater risk of developing AD (hazard rate: 1.10 [CI: 1.07–1.13]). Furthermore, the post-test probability was increased to 90% when using baseline BrainAGE scores to predict conversion to AD. The presented framework allows an accurate prediction even with multicenter data. Its fast and fully automated nature facilitates the integration into the clinical workflow. It can be exploited as a tool for screening as well as for monitoring treatment options.

Ca2+ oscillations have been considered to obey deterministic dynamics for almost two decades. We show for four cell types that Ca2+ oscillations are instead a sequence of random spikes. The standard deviation of the interspike intervals (ISIs) of individual spike trains is similar to the average ISI; it increases approximately linearly with the average ISI; and consecutive ISIs are uncorrelated. Decreasing the effective diffusion coefficient of free Ca2+ using Ca2+ buffers increases the average ISI and the standard deviation in agreement with the idea that individual spikes are caused by random wave nucleation. Array-enhanced coherence resonance leads to regular Ca2+ oscillations with small standard deviation of ISIs.

3-Hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (statins) may exert pleiotropic effects on vascular cells independent of lowering plasma cholesterol. To elucidate the molecular mechanisms involved in these effects, we investigated the impact of statins on production of reactive oxygen species (ROS) in rat aortic vascular smooth muscle cells (VSMC). Exposure of VSMC to angiotensin II caused production of ROS via angiotensin AT1 receptor activation. Pretreatment with atorvastatin inhibited angiotensin II-induced ROS production. Atorvastatin decreased AT1 receptor mRNA levels in a time- and concentration-dependent manner and consistently reduced AT1 receptor density. L-Mevalonate but not hydroxy-cholesterol reversed the inhibitory effect of atorvastatin on AT1 receptor transcript levels. Inhibition of geranylgeranyl-transferase but not of farnesyl-transferase mimicked the effect of atorvastatin on AT1 receptor gene expression. Atorvastatin did not decrease AT1 receptor gene transcription but did reduce the half-life of the AT1 receptor mRNA. AT1 receptor activation by angiotensin II increased the expression of the GTPase rac1, enhanced rac1 GTP-binding activity, and increased the geranylgeranyl-dependent translocation of rac1 to the cell membrane. In contrast, statins inhibited rac1 activity and membrane translocation. Consequently, specific inhibition of rac1 with Clostridium sordellii lethal toxin blocked angiotensin II-induced production of free radicals. Finally, treatment of rats with atorvastatin caused down-regulation of aortic AT1 receptor mRNA expression and reduced aortic superoxide production in vivo. Cholesterol-independent down-regulation of AT1 receptor gene expression and inhibition of rac1, leading to decreased ROS production, demonstrates a novel regulatory mechanism of statins that may contribute to the beneficial effects of these drugs beyond lowering of plasma cholesterol.