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The objective of this Genetic Polymorphisms book is to rehighlight and provide few updates on the role of genetic polymorphisms in medicine and agriculture, which void emerging opinion on ""full death"" of genetic polymorphisms as useful genetic markers. Chapters presented here demonstrate the future benefit of SNPs in many genetic studies as well as prognosis disease and diagnosis.

Genetics. --- Genetic polymorphisms. --- Polymorphisms, Genetic --- Population genetics --- Biology --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Medicine --- Medical Genetics --- Molecular Genetics --- Health Sciences

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Many researchers around the world have demonstrated that the expression of miRNAs is dysregulated in different tumors. Such dysregulation is caused by multiple mechanisms, and exposure to different carcinogens causes dysregulated epigenetic changes and defects in the miRNA biogenesis machinery. Cancer cells with abnormal miRNA expression evolve the capability to sustain proliferative signaling, evade growth suppressors, resist cell death, activate invasion and metastasis, and induce angiogenesis. Genome-wide profiling demonstrates that miRNA expression signatures are associated with tumor type, tumor grade and clinical outcomes, so miRNAs could be potential candidates for diagnostic biomarkers, prognostic biomarkers, therapeutic targets and preventive screening programs. Although miRNAs have multiple targets, their function in tumorigenesis is due to their regulation of a few specific targets. After the first detection of altered miRNA in leukemia, microRNAs have been demonstrated to be constantly altered in all cancer. More recently, microRNA has been shown to be altered by exposure to environmental carcinogens, thus driving the whole process of carcinogenesis. Our aim is to provide a rigorous peer review and publish cutting-edge research on the role of microRNA in cancer prevention therapy to educate and inspire the scientific community worldwide.

breast cancer --- miRNAs --- liquid biopsy --- angiogenesis --- biomarkers --- early diagnosis --- air pollution --- biomarker --- exposure --- human --- lung cancer --- miRNA --- carcinogenesis --- microRNA --- asbestos exposure --- oral squamous cell carcinoma --- diagnosis --- prognosis --- saliva --- neuroblastoma --- MYCN amplification --- metastases --- chemoresistance --- public health genomics --- genetic polymorphisms --- epigenetic modulations --- genetic and microbiome markers --- health technology assessment --- early disease prevention --- nonsmokers lung cancer --- environmental risk factors --- oncogenes --- mutations --- glioblastoma --- microRNAs --- cancer --- qPCR --- cancer stem cells --- plasticizers --- in vitro study --- PRISMA --- no-smokers lung cancer --- DNA adducts --- mesothelioma --- extracellular vesicles --- miR-625 --- fluoro-edenite --- asbestos --- malignant mesothelioma --- cancer prevention --- microbiota --- epigenetics --- environmental pollutants --- cutaneous tissues --- ozone exposure --- n/a

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Membrane transporters are of vital importance for cells. They mediate the flux of many substances through the plasma membrane. In this book, the transporters for organic cations, a special class of membrane transporters, are presented. Transporters belonging to this class are important because they allow many neurotransmitters (e.g., histamine and serotonin) and many drugs (e.g., trospium and tofacitinib) to permeate the plasma membrane. Therefore, transporters for organic cations can modulate the action of neurotransmitters and drugs, having in this way important physiological and pharmacological implications. These aspects are illustrated in original works and reviews presented in this book. Using a system biology approach, the global significance of different transporters working together has been illustrated. Regulation mechanisms determining their expression in specific organs and modulating their function are also described in this book, also concerning their role for special drug toxicities. Such an aspect is also discussed in relationship to mutations (single nucleotide polymorphisms) of transporters for organic cations. Finally, the translational value of studies performed in flies, mice, and rats is discussed. Therefore, this book offers integrative information on transporters for organic cations, which may be of interest to beginners and specialized scientists in this field.

transporters --- endogenous metabolism --- functional subgroups --- SLC22 --- remote sensing and signaling --- drug transporters --- gut microbiome --- chronic kidney disease --- solute carrier 22 (SLC22) --- Remote Sensing and Signaling Theory --- interorgan communication --- organic anion transporter --- organic cation transporter --- SLC22A15 --- SLC22A16 --- SLC22A18 --- kidney --- Malpighian tubule --- TCGA --- human pathology atlas --- gene ontology --- organic cations --- transport --- kidneys --- regulation --- Nuclear receptor --- renal excretion --- bile acids --- organic cation transporters --- drug disposition --- genetic polymorphisms --- drug-induced kidney injury --- nephrotoxicity --- RA --- Tofacitinib --- Baricitinib --- MATE1 --- solute carrier (SLC) family --- OCT1 --- SLC22A1 --- species differences --- drugs --- pesticides --- cisplatin nephrotoxicity --- PPAR-alpha --- organic transporters --- serotonin transporter --- plasma membrane monoamine transporter --- ketamine --- isoflurane --- serotonin clearance --- antidepressant-like activity --- chronoamperometry --- tail suspension test --- forced swim test --- hepatotoxicity --- solute carrier --- pulmonary drug delivery --- SLC22A1–5 --- lung epithelium --- drug uptake --- β2-agonists --- chronic lung diseases --- anticholinergics --- trospium --- OCT --- MATE --- drug excretion --- drug transport --- n/a --- SLC22A1-5

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In recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid–base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes.

tacrolimus --- C/D ratio --- tacrolimus metabolism --- everolimus --- conversion --- kidney transplantation --- gut microbiome --- renal transplant recipient --- diarrhea --- immunosuppressive medication --- gut microbiota --- 16S rRNA sequencing --- butyrate-producing bacteria --- Proteobacteria --- torquetenovirus --- immunosuppression --- transplantation --- immunosuppressed host --- outcome --- renal transplantation --- Goodpasture syndrome --- anti-GBM disease --- epidemiology --- hospitalization --- outcomes --- acute kidney injury --- risk prediction --- artificial intelligence --- patent ductus arteriosus --- conservative management --- blood pressure --- eradication --- interferon-free regimen --- hepatitis C infection --- kidney transplant --- allograft steatosis --- lipopeliosis --- transplant numbers --- live donors --- public awareness --- Google TrendsTM --- machine learning --- big data --- nephrology --- chronic kidney disease --- NLR --- PLR --- RPGN --- predictive value --- hemodialysis --- withdrawal --- cellular crescent --- global sclerosis --- procurement kidney biopsy --- glomerulosclerosis --- minimally-invasive donor nephrectomy --- robot-assisted surgery --- laparoscopic surgery --- organ donation --- living kidney donation --- MeltDose® --- LCPT --- renal function --- liver transplantation --- metabolism --- erythropoietin --- fibroblast growth factor 23 --- death --- weekend effect --- in-hospital mortality --- comorbidity --- dialysis --- elderly --- klotho --- α-Klotho --- FGF-23 --- kidney donor --- Nephrology --- CKD-MBD --- CKD-Mineral and Bone Disorder --- deceased donor --- Eurotransplant Senior Program --- risk stratification --- intensive care --- kidney transplant recipients --- long-term outcomes --- graft failure --- cardiovascular mortality --- lifestyle --- inflammation --- vascular calcification --- bone mineral density --- dual-energy X-ray absorptiometry --- living donation --- repeated kidney transplantation --- graft survival --- prolonged ischaemic time --- patient survival --- pre-emptive transplantation --- metabolomics --- urine --- acute rejection --- allograft --- cystatin C --- hyperfiltration --- kidney injury molecule (KIM)-1 --- tubular damage --- genetic polymorphisms --- (cardiac) surgery --- inflammatory cytokines --- clinical studies --- chronic kidney disease (CKD) --- no known kidney disease (NKD) --- ICD-10 billing codes --- phenotyping --- electronic health record (EHR) --- estimated glomerular filtration rate (eGFR) --- machine learning (ML) --- generalized linear model network (GLMnet) --- random forest (RF) --- artificial neural network (ANN), clinical natural language processing (clinical NLP) --- discharge summaries --- laboratory values --- area under the receiver operating characteristic (AUROC) --- area under the precision-recall curve (AUCPR) --- fibrosis --- extracellular matrix --- collagen type VI --- living-donor kidney transplantation --- ethnic disparity