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As Editor-in-Chief of the journal Diabetology, I am pleased to announce the Special Issue “Diabetology: Feature Papers 2021” is now published in book format. Diabetology (ISSN 2673-4540) is an international, peer-reviewed scientific open access journal that provides an advanced forum for studies related to epidemiology, etiology, pathophysiology, pathogenesis, management, complications, and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. In this Special Issue, “Feature Papers”, we aim to publish outstanding contributions in the main fields covered by the journal, which will make a great contribution to the community. This book covers the whole spectrum of diabetology from risk screening, risk markers, pathways of disease in type 1 diabetes and insulin treatment, and management of the disease and comorbidities.

Medicine --- carpal tunnel syndrome --- ultrasound --- power doppler signal --- diabetes --- FINDRISC --- prediabetes --- metabolic syndrome --- young-adults --- N-acetyl-β-d-glucosaminidase (NAG) --- diabetic nephropathy --- chronic kidney disease (CKD) --- meta-analysis --- systematic review --- focus groups --- self-management of type 2 diabetes --- patients’ experiences --- healthcare professionals --- middle-aged population --- type 1 diabetes --- autoimmune diseases --- pancreatic β-cells --- tolerance --- regulatory T cells --- immunotherapy --- insulin --- banting --- best --- MacLeod --- collip --- limited-resource countries (LRC) --- insulin pumps --- blood glucose monitoring --- continuous blood glucose sensors --- COVID-19 --- SARS-CoV-2 --- ACE2 --- TMPRSS2 --- mucormycosis --- COVID-associated mucormycosis (CAM) --- mucins --- Diabetic Keto Acidosis (DKA) --- Metabolic-Stress-Associated Interactome (MSAI) --- olfactory neurovascular niche --- serine proteases --- ferroptosis --- redox-iron stress --- n/a --- patients' experiences

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This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.

Medicine --- artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models --- artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models

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The postprandial period is the metabolic phase that directly follows the ingestion of a meal. This period is critical to the handling of nutrients to feed the body throughout the whole day but it is also a time of challenge for the body’s metabolism, which has to be flexible and adaptable regarding the quantity and the quality of the nutrient intake. Changes in postprandial metabolism have been considered to be potential early markers in the pathophysiological course, finally leading to an increased risk of disease development. This book aimed to broaden and add to the research on the importance of postprandial metabolism in nutrition. The book includes literature reviews that cover the broad state of the art of our knowledge about postprandial metabolism, fine original studies of the complex changes in metabolism, and the physiological processes that are considered to drive the onset of pathogenesis. Finally, a series of examples on how nutrient content (especially proteins, sucrose, and lipids) can influence the postprandial metabolism over a wide range of phenomena operating during the postprandial period and how they could contribute to tipping the body towards adverse health processes.

Medicine --- peripheral blood mononuclear cells --- postprandial metabolism --- high fat–high sugar diet --- minipig --- adipose tissue --- biomarkers --- glucose --- human --- night --- postprandial --- wheat albumin --- energy expenditure --- fat oxidation --- respiratory quotient --- sucrose overfeeding --- hepatic steatosis --- intramyocellular lipids --- intrahepatocellular lipids --- dietary protein content --- dietary fat content --- plasma triglyceride --- liver --- gut --- obesity --- amino acid --- lactate --- nutrient flux --- short chain fatty acid --- aging --- catabolic state --- anabolic resistance --- protein synthesis --- energy bolus --- postprandial lipemia --- coconut oil --- butter --- canola oil --- olive oil --- lipid --- triglycerides --- dietary fat --- saturated fat --- cardiovascular disease --- carbohydrates --- cholesterol --- fibers --- food structure --- lipids --- polyphenols --- proteins --- vitamins --- ADMA --- arginine --- SDMA --- DMA --- PRMT --- alpha-glucosidase inhibitor --- biopeptides --- blood glucose --- glycemic control --- hyperglycemia --- milk peptides --- prediabetes --- pre-meal --- type 2 diabetes --- metabolic syndrome --- endothelial function --- oxidative stress --- nuts --- berries --- LBP --- sCD14 --- postprandial kinetics --- high-fat diet --- peripheral blood mononuclear cells --- postprandial metabolism --- high fat–high sugar diet --- minipig --- adipose tissue --- biomarkers --- glucose --- human --- night --- postprandial --- wheat albumin --- energy expenditure --- fat oxidation --- respiratory quotient --- sucrose overfeeding --- hepatic steatosis --- intramyocellular lipids --- intrahepatocellular lipids --- dietary protein content --- dietary fat content --- plasma triglyceride --- liver --- gut --- obesity --- amino acid --- lactate --- nutrient flux --- short chain fatty acid --- aging --- catabolic state --- anabolic resistance --- protein synthesis --- energy bolus --- postprandial lipemia --- coconut oil --- butter --- canola oil --- olive oil --- lipid --- triglycerides --- dietary fat --- saturated fat --- cardiovascular disease --- carbohydrates --- cholesterol --- fibers --- food structure --- lipids --- polyphenols --- proteins --- vitamins --- ADMA --- arginine --- SDMA --- DMA --- PRMT --- alpha-glucosidase inhibitor --- biopeptides --- blood glucose --- glycemic control --- hyperglycemia --- milk peptides --- prediabetes --- pre-meal --- type 2 diabetes --- metabolic syndrome --- endothelial function --- oxidative stress --- nuts --- berries --- LBP --- sCD14 --- postprandial kinetics --- high-fat diet

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As plant-based foods, both vegetables and fruits have been clearly associated with the presence of high amounts of bioactive compounds, and have been demonstrated as having a central role in the prevention of diseases. Many scientists of different research fields have lavished great effort both to characterize the bioactive compounds’ compositions and to deepen understanding regarding the mechanisms of action through which fruits and vegetables exert their health-promoting and/or disease-preventing properties. In this book, studies on the bioactive compounds’ composition of the main fruit and vegetable species, on their health effects as fresh-consumed, transformed products or applied in in vitro models, and on their mechanisms of actions against human pathologies are presented.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- ABTS --- bioactive compounds --- DPPH --- flavonoids --- genetic distance --- genotypic and phenotypic correlation --- nutraceutical value --- phenolics --- UPGMA --- apricot --- methyl jasmonate --- salicylic acid --- antioxidant property --- enzyme activity --- postharvest quality --- elderberry --- reishi --- respiratory tract infections --- common cold --- influenza-like illness --- respiratory infection symptoms --- randomized controlled trial --- agrobiodiversity --- antioxidant activity --- health benefits --- medicinal properties --- Mediterranean diet --- market food trends --- sustainability --- wild edible greens --- organic farming --- conventional farming --- trace elements --- heavy metals --- risk assessment --- anthocyanins --- Fragaria × ananassa --- latitude --- temperature --- global radiation --- cultivar × environmental interaction --- phytochemical compounds --- antioxidant capacity --- Brassica spp. --- vegetables --- cultivation techniques --- glucosinolates --- apple --- royal gala --- pink lady --- red delicious --- smitten --- fuji --- phenolic compounds --- LC-ESI-QTOF-MS/MS --- HPLC --- garlic --- Allium sativum --- thiosulfinate --- allicin --- sepsis --- immunomodulation --- interleukins --- rats --- hydroxytyrosol --- olive extract --- olive polyphenols --- grape extract --- oleuropein --- F2-isoprostanes --- AGEs --- Gynura bicolor --- prediabetes --- phytochemical --- blood glucose --- oxidative stress --- n/a

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This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.

artificial intelligence --- computer-aided diagnosis --- facial phenotypes --- machine learning --- complexity theory --- dementia --- cognitive dysfunction --- neuropsychological tests --- mental status and dementia tests --- spontaneous intracerebral hemorrhage (SICH) --- 90-day function outcome --- mortality --- osteoarthritis --- venous thrombosis --- VTE risk prediction --- machine learning algorithm --- population-based cohort study --- pituitary adenoma --- craniopharyngioma --- optic chiasm --- multicenter --- treatment outcome --- liver neoplasms --- deep learning --- diabetic complication --- gene-gene interaction --- AGER --- IL6R --- multiple sclerosis --- DNA methylation --- entropy --- atherosclerosis --- plaque characterization --- physical activity --- osteoporosis --- osteoporotic fracture --- vertebral fracture --- hip fracture --- distal radius fracture --- small for gestational age --- exposure to radiation --- prediction --- coronary plaque --- major adverse cardiovascular events --- coronary artery disease --- coronary computed tomographic angiography --- acute pancreatitis --- predictor --- interventions --- type 2 diabetes mellitus (T2DM) --- prediction model --- Chinese elderly --- prediabetes --- incident diabetes --- predictive models