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Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous, which hinders the design of general treatment options.Recently, there has been an ongoing effort to study this phenomenon on a genomic scale in order to understand the causality underlying the disease. Hence, current “omics” technologies have contributed to identify and monitor different biological pieces at different biological levels, such as genes, proteins or metabolites. These technological capacities have provided us with vast amounts of clinical data where a single patient may often give rise to various tissue samples, each of them being characterized in detail by genomescale data on the sequence, expression, proteome and metabolome level. Data with such detail poses the imminent problem of extracting meaningful interpretations and translating them into specific treatment options. To this purpose, Systems Biology provides a set of promising computational tools in order to decipher the mechanisms driving a healthy cell’s metabolism into a cancerous one. However, this enterprise requires bridging the gap between large data resources, mathematical analysis and modeling specifically designed to work with the available data. This is by no means trivial and requires high levels of communication and adaptation between the experimental and theoretical side of research.
Computational Biology --- Metabolic alterations --- Metabolism --- Systems Biology --- Modeling --- Cancer
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Mounting evidence suggests a bidirectional relationship between metabolism and inflammation. Molecular crosstalk between these processes occurs at different levels with the participation of nuclear receptors, including peroxisome proliferator-activated receptors (PPARs). There are three PPAR isotypes, α, β/δ, and γ, which modulate metabolic and inflammatory pathways, making them key for the control of cellular, organ, and systemic processes. PPAR activity is governed by fatty acids and fatty acid derivatives, and by drugs used in clinics (glitazones and fibrates). The study of PPAR action, also modulated by post-translational modifications, has enabled extraordinary advances in the understanding of the multifaceted roles of these receptors in metabolism, energy homeostasis, and inflammation both in health and disease. This Special Issue of IJMS includes a broad range of basic and translational article, both original research and reviews, focused on the latest developments in the regulation of metabolic and/or inflammatory processes by PPARs in all organs and the microbiomes of different vertebrate species.
nuclear receptor --- gene transcription --- inflammation --- molecular docking --- PPARβ/δ --- lung --- pulmonary artery --- GW0742 --- GSK3787 --- docking --- lipopolysaccharide (LPS) --- PPARγ ligand --- coumarin --- fluorescent ligand --- screening --- crystal structure --- PPAR --- atopic dermatitis --- psoriasis --- metabolic reprograming --- glucose --- fatty acids --- mycobacteria --- M. tuberculosis --- M. leprae --- PPARs --- lipid droplets --- metabolic alterations --- hepatic damage --- nuclear factors --- pharmacological targets --- AMPK --- GDF15 --- insulin resistance --- type 2 diabetes mellitus --- peroxisome proliferator-activated receptor gamma (PPARγ) --- real-time PCR --- ELISA --- immunohistochemistry --- signaling pathway --- PPAR gamma --- brain --- neural stem cells --- infection --- neuroinflammation --- HIV --- Zika --- cytomegalovirus --- neurogenesis --- microglia --- liver damage --- toll-like receptor 4 --- P2Y2 receptor --- metabolic syndrome --- resveratrol --- quercetin --- PPARα --- peroxisome --- β-oxidation --- PPRE --- ligand --- coregulator --- micronutrients --- PPARα knockout --- adipose tissue --- browning --- lipid metabolism --- depression --- PPARg --- neuropathology --- corticotropin releasing hormone --- norepinephrine --- subgenual prefrontal cortex --- amygdala --- nucleus accumbens --- common carotid artery occlusion --- electroretinography --- fibroblast growth factor 21 --- pemafibrate --- peroxisome proliferator-activated receptor alpha --- retinal ischemia --- skeletal muscle --- substrate metabolism --- nonalcoholic fatty liver disease (NAFLD) --- sex dimorphism --- lipidomics --- hepatic sex-biased gene expression --- PPARγ --- pulmonary arterial hypertension --- TGFβ --- vascular injury --- proliferation --- kidney fibrosis --- pattern-recognition receptors --- phagocytosis --- nitric oxide synthase --- fenofibrate --- oleoylethanolamide --- palmitoylethanolamide --- cancer --- immunity --- obesity --- diabetes --- miRNA --- DNA methylation --- histone modification --- peroxisome-proliferator-activated receptor --- fatty acid oxidation --- doping control --- regulatory T cells --- exercise --- nuclear receptors --- nutrigenomics --- energy homeostasis --- dairy animals --- non-alcoholic fatty liver disease (NAFLD) --- non-alcoholic steatohepatitis (NASH) --- peroxisome proliferator-activated receptors (PPAR) --- bezafibrate --- fenofibric acid --- peroxisome proliferator-activated receptor --- dual/pan agonist --- X-ray crystallography --- n/a
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