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Need for Deprescribing in Hospital Elderly Patients Discharged with a Limited Life Expectancy: The REPOSI Study
2019
<b><i>Objective:</i></b> Older people approaching the end of life are at a high risk for adverse drug reactions. Approaching the end of life should change the therapeutic aims, triggering a reduction in the number of drugs.<b><i></i></b>The main aim of this study is to describe the preventive and symptomatic drug treatments prescribed to patients discharged with a limited life expectancy from internal medicine and geriatric wards. The secondary aim was to describe the potentially severe drug-drug interactions (DDI). <b><i>Materials and Methods:</i></b> We analyzed Registry of Polytherapies Societa Italiana di Medicina I…
Kinase Inhibitors in Multitargeted Cancer Therapy
2017
The old-fashioned anticancer approaches, aiming in arresting cancer cell proliferation interfering with non-specific targets (e.g. DNA), have been replaced, in the last decades, by more specific target oriented ones. Nonetheless, single-target approaches have not always led to optimal outcomes because, for its complexity, cancer needs to be tackled at various levels by modulation of several targets. Although at present, combinations of individual single-target drugs represent the most clinically practiced therapeutic approaches, the modulation of multiple proteins by a single drug, in accordance with the polypharmacological strategy, has become more and more appealing. In the perspective of…
Drugs Polypharmacology by in Silico Methods: New Opportunities in Drug Discovery
2016
Background Polypharmacology, defined as the modulation of multiple proteins rather than a single target to achieve a desired therapeutic effect, has been gaining increasing attention since 1990s, when industries had to withdraw several drugs due to their adverse effects, leading to permanent injuries or death, with multi-billiondollar legal damages. Therefore, if up to then the "one drug one target" paradigm had seen many researchers interest focused on the identification of selective drugs, with the strong expectation to avoid adverse drug reactions (ADRs), very recently new research strategies resulted more appealing even as attempts to overcome the decline in productivity of the drug dis…
Overview of key molecular and pharmacological targets for diabetes and associated diseases
2021
Diabetes epidemiological quantities are demonstrating one of the most important communities' health worries. The essential diabetic difficulties are including cardiomyopathy, nephropathy, inflammation, and retinopathy. Despite developments in glucose decreasing treatments and drugs, these diabetic complications are still ineffectively reversed or prohibited. Several signaling and molecular pathways are vital targets in the new therapies of diabetes. This review assesses the newest researches about the key molecules and signaling pathways as targets of molecular pharmacology in diabetes and diseases related to it for better treatment based on molecular sciences. The disease is not cured by c…
Myotonic dystrophy type 1 drug development: A pipeline toward the market
2021
Highlights • Myotonic dystrophy, a neuromuscular disease, affects at least around half a million people worldwide. • Close to two dozen preclinical and clinical drug development programs active. • Drugs encompass new chemical entities, repurposing, oligonucleotide, and gene therapy. • Tideglusib, mexiletine, and metformin are close to reaching marketing authorization.
A deeper look into natural sciences with physics-based and data-driven measures
2021
Summary With the development of machine learning in recent years, it is possible to glean much more information from an experimental data set to study matter. In this perspective, we discuss some state-of-the-art data-driven tools to analyze latent effects in data and explain their applicability in natural science, focusing on two recently introduced, physics-motivated computationally cheap tools—latent entropy and latent dimension. We exemplify their capabilities by applying them on several examples in the natural sciences and show that they reveal so far unobserved features such as, for example, a gradient in a magnetic measurement and a latent network of glymphatic channels from the mous…
Early ERK1/2 activation promotes DRP1-dependent mitochondrial fission necessary for cell reprogramming.
2016
During the process of reprogramming to induced pluripotent stem (iPS) cells, somatic cells switch from oxidative to glycolytic metabolism, a transition associated with profound mitochondrial reorganization. Neither the importance of mitochondrial remodelling for cell reprogramming, nor the molecular mechanisms controlling this process are well understood. Here, we show that an early wave of mitochondrial fragmentation occurs upon expression of reprogramming factors. Reprogramming-induced mitochondrial fission is associated with a minor decrease in mitochondrial mass but not with mitophagy. The pro-fission factor Drp1 is phosphorylated early in reprogramming, and its knockdown and inhibition…
Nutraceuticals as an Important Part of Combination Therapy in Dyslipidaemia
2017
Several risk factors such as abnormality of lipid metabolism (e.g. high levels of low-density lipoprotein cholesterol (LDL-C), elevated triglycerides and low levels of high-density lipoprotein cholesterol (HDL-C)) play a central role in the aetiology of cardiovascular disease (CVD). Nutraceutical combination together with a cholesterol- lowering action, when associated with suitable lifestyle, should furnish an alternative to pharmacotherapy in patients reporting statin-intolerance and in subjects at low cardiovascular risk. The present review is focused on nutraceuticals and their synergetic combinations demonstrating a beneficial effect in the management of dyslipidaemia. Several nutraceu…
EGFL7 - a potential therapeutic target for multiple sclerosis?
2018
Inferring causation from time series in earth system sciences
2019
The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the commonly adopted correlation techniques. Here, we give an overview of causal inference frameworks and identify promising generic application cases common in Earth system sciences and beyond. We discuss challenges and initiate the benchmark platform causeme.net to close the gap between method users and developers.