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Extraintestinal Manifestations of Coeliac Disease

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ISBN: 9783038977988 9783038977995 Year: Pages: 270 DOI: 10.3390/books978-3-03897-799-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2019-04-25 16:37:17
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Coeliac Disease (CD) affects at least 1% of the population. “Classical” CD refers to gastrointestinal presentations with anaemia and gastrointestinal symptoms. CD can, however, present with extraintestinal manifestations, the commonest of which are dermatitis herpetiformis and neurological presentations (e.g., ataxia, neuropathy, encephalopathy). Recognition and research into the pathophysiology of such manifestations is likely to enhance our understanding of this complex autoimmune disorder.

Keywords

dermatitis herpetiformis --- coeliac disease --- fracture --- bone health --- quality of life --- Gilles de la Tourette syndrome (GTS) --- children and adults --- motor and vocal/phonic tics --- obsessive-compulsive disorder (OCD) --- non-coeliac gluten sensitivity (NCGS) --- gluten-free diet --- one-year adherence --- dermatitis herpetiformis --- coeliac disease --- prevalence --- epidermal transglutaminase --- gluten-free diet --- long-term prognosis --- dermatitis herpetiformis --- coeliac disease --- gluten-free diet --- small bowel --- villous atrophy --- prognosis --- gluten neuropathy --- coeliac disease --- gluten free diet --- quality of life --- male --- extra-intestinal --- gastrointestinal --- celiac disease --- celiac disease --- dermatitis herpetiformis --- urticaria --- atopic dermatitis --- psoriasis --- recurrent aphtous ulceration --- rosacea --- alopecia areata --- cutaneous vasculitis --- gluten-free diet --- celiac disease --- glandular autoimmunity --- autoimmune thyroid disease --- type 1 diabetes --- polyglandular autoimmune syndrome --- coeliac disease --- osteoporosis --- fractures --- celiac disease --- non-celiac gluten sensitivity --- psychiatric disorders --- depression --- anxiety disorders --- eating disorders --- ADHD --- autism --- psychosis --- autoimmunity --- celiac hepatitis --- gut–liver axis --- liver immunity --- non-alcoholic fatty liver disease --- tolerance --- intestinal barrier --- celiac disease --- extraintestinal --- recognition --- diagnosis --- clinical presentation --- gluten-free diet --- prognosis --- movement disorders --- coeliac disease --- gluten --- gluten free diet --- celiac disease --- gluten --- gliadin --- autoantibody --- B cell --- T cell --- transglutaminase --- synapsin --- ganglioside --- gluten sensitivity --- gastrointestinal symptoms --- molecular mimicry --- intermolecular help --- biomarker --- autoimmune pancreatitis --- coeliac disease --- pancreatic disorders --- screening --- Gluten ataxia --- antigliadin antibodies --- coeliac disease --- MR spectroscopy --- gluten sensitive enteropathy --- antigliadin antibody titre --- gluten sensitivity --- coeliac disease --- gluten free diet --- migraine --- headache --- fatigue --- energy --- celiac disease --- extra-intestinal manifestations --- gluten --- latent celiac disease --- potential celiac disease --- extra-intestinal manifestations --- mild enteropathy --- early developing celiac disease --- genetic gluten intolerance --- natural history --- celiac trait --- celiac disease --- gluten neuropathy --- gluten ataxia --- prevalence --- incidence --- gluten-free diet

Cancer Metabolomics 2018

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ISBN: 9783039213450 9783039213467 Year: Pages: 184 DOI: 10.3390/books978-3-03921-346-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Biochemistry
Added to DOAB on : 2019-12-09 11:49:15
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The metabolomics approach, defined as the study of all endogenously-produced low-molecular-weight compounds, appeared as a promising strategy to define new cancer biomarkers. Information obtained from metabolomic data can help to highlight disrupted cellular pathways and, consequently, contribute to the development of new-targeted therapies and the optimization of therapeutics. Therefore, metabolomic research may be more clinically translatable than other omics approaches, since metabolites are closely related to the phenotype and the metabolome is sensitive to many factors. Metabolomics seems promising to identify key metabolic pathways characterizing features of pathological and physiological states. Thus, knowing that tumor metabolism markedly differs from the metabolism of normal cells, the use of metabolomics is ideally suited for biomarker research. Some works have already focused on the application of metabolomic approaches to different cancers, namely lung, breast and liver, using urine, exhaled breath and blood. In this Special Issue we contribute to a more complete understanding of cancer disease using metabolomics approaches.

Sex Hormone Receptor Signals in Human Malignancies

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ISBN: 9783039211739 9783039211746 Year: Pages: 152 DOI: 10.3390/books978-3-03921-174-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-12-09 11:49:15
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Sex steroids, including androgens, estrogens, and progestogens, are knownto have widespread physiological actions beyond the reproductive systemvia binding to the sex hormone receptors. Meanwhile, emerging evidence hasindicated that sex hormone receptor signals are involved in the outgrowth ofsome malignancies, such as prostate and breast carcinomas, as well as othersthat have not traditionally been considered as endocrine-related neoplasms. ThisSpecial Issue “Sex Hormone Receptor Signals in Human Malignancies” coversvarious aspects of the potential role of sex hormone receptors and related signalsin prostate cancer, breast cancer, and other neoplastic conditions by depictingpromising findings derived from in vitro and in vivo experiments as well as theanalyses of surgical specimens. The current observations described may thusprovide a unique insight into novel or known functions of sex hormone receptorsand related molecules.

Biomedical Insights that Inform the Diagnosis of ME/CFS

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ISBN: 9783039283903 9783039283910 Year: Pages: 202 DOI: 10.3390/books978-3-03928-391-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Therapeutics --- Medicine (General)
Added to DOAB on : 2020-04-07 23:07:09
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Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe chronic health condition that is often misunderstood or ignored by health establishments. The lack of definitive diagnostic markers to separate ME/CFS patients from the healthy population as well as from other chronic disorders is problematic for both health professionals and researchers. A consortium of Australian researchers gathered to systematically understand ME/CFS, ranging from a deep analysis of clinical and pathology data to metabolomic profiles and the investigation of mitochondrial function. From this broad collaboration, a number of compelling insights have arisen that may form the basis of specific serum, blood, and/or urinary biomarkers of ME/CFS. This Special Edition reports on a conference centred on these biomedical discoveries, with other contributions, with a translation focus for predictive markers for ME/CFS diagnosis. By supporting health professionals with developments in diagnostics for this condition, the patients and their families will hopefully benefit from an improved recognition of the biomedical underpinnings of the condition and will be better able to access the care that is urgently required. This Special Edition contains a mix of speaker submissions and other accepted manuscripts that contributed to our objective of advancing biomedical insights to enable the accurate diagnosis of ME/CFS.

Keywords

myalgic encephalomyelitis --- chronic fatigue syndrome --- diagnosis --- symptoms --- muscles --- neurology --- myalgic encephalomyelitis --- chronic fatigue syndrome --- post-exertional malaise --- assessment --- patient-driven questionnaire --- participatory research --- myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) --- energy metabolism --- potential biomarkers --- fatigue syndrome --- chronic --- exercise --- hypoacetylation --- methylhistidine --- histone deacetylation --- myalgic encephalomyelitis --- chronic fatigue syndrome --- diagnostic biomarker --- inflammation and immunity --- metabolism --- mitochondria --- circadian rhythm --- neuro-inflammation --- myalgic encephalomyelitis --- chronic fatigue syndrome --- activin --- pathology --- biomarker --- cytokine --- machine learning --- reference intervals --- myalgic encephalomyelitis --- chronic fatigue syndrome --- ME/CFS --- diagnosis --- metabolism --- mitochondria --- inflammation --- immune system --- signaling --- gut microbiota --- tryptophan metabolism --- indoleamine-2,3-dioxygenase --- bistability --- kynurenine pathway --- substrate inhibition --- myalgic encephalomyelitis --- chronic fatigue syndrome --- mathematical model --- critical point --- immunological --- chronic fatigue syndrome --- myalgic encephalomyelitis --- biomarker --- neuroimmune --- Epstein Barr virus --- hypothalamic–pituitary–adrenal axis --- CFS (Chronic Fatigue Syndrome) --- ME (Myalgic Encephalomyelitis) --- medical retirement --- prognosis --- work rehabilitation --- n/a

Application of Bioinformatics in Cancers

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ISBN: 9783039217885 9783039217892 Year: Pages: 418 DOI: 10.3390/books978-3-03921-789-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-12-09 11:49:16
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This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.

Keywords

comorbidity score --- mortality --- locoregionally advanced --- HNSCC --- curative surgery --- traditional Chinese medicine --- health strengthening herb --- cancer treatment --- network pharmacology --- network target --- high-throughput analysis --- brain metastases --- colorectal cancer --- KRAS mutation --- PD-L1 --- tumor infiltrating lymphocytes --- drug resistance --- gefitinib --- erlotinib --- biostatistics --- bioinformatics --- Bufadienolide-like chemicals --- molecular mechanism --- anti-cancer --- bioinformatics --- cancer --- brain --- pathophysiology --- imaging --- machine learning --- extreme learning --- deep learning --- neurological disorders --- pancreatic cancer --- TCGA --- curation --- DNA --- RNA --- protein --- single-biomarkers --- multiple-biomarkers --- cancer-related pathways --- colorectal cancer --- DNA sequence profile --- Monte Carlo --- mixture of normal distributions --- somatic mutation --- tumor --- mutable motif --- activation induced deaminase --- AID/APOBEC --- transcriptional signatures --- copy number variation --- copy number aberration --- TCGA mining --- cancer CRISPR --- firehose --- gene signature extraction --- gene loss biomarkers --- gene inactivation biomarkers --- biomarker discovery --- chemotherapy --- microarray --- ovarian cancer --- predictive model --- machine learning --- overall survival --- observed survival interval --- skin cutaneous melanoma --- The Cancer Genome Atlas --- omics --- breast cancer prognosis --- artificial intelligence --- machine learning --- decision support systems --- cancer prognosis --- independent prognostic power --- omics profiles --- histopathological imaging features --- cancer --- intratumor heterogeneity --- genomic instability --- epigenetics --- mitochondrial metabolism --- miRNAs --- cancer biomarkers --- breast cancer detection --- machine learning --- feature selection --- classification --- denoising autoencoders --- breast cancer --- feature extraction and interpretation --- concatenated deep feature --- cancer modeling --- interaction --- histopathological imaging --- clinical/environmental factors --- oral cancer --- miRNA --- bioinformatics --- datasets --- biomarkers --- TCGA --- GEO DataSets --- hormone sensitive cancers --- breast cancer --- StAR --- estrogen --- steroidogenic enzymes --- hTERT --- telomerase --- telomeres --- alternative splicing --- network analysis --- hierarchical clustering analysis --- differential gene expression analysis --- cancer biomarker --- diseases genes --- variable selection --- false discovery rate --- knockoffs --- bioinformatics --- copy number variation --- cell-free DNA --- methylation --- mutation --- next generation sequencing --- self-organizing map --- head and neck cancer --- treatment de-escalation --- HP --- molecular subtypes --- tumor microenvironment --- Bioinformatics tool --- R package --- machine learning --- meta-analysis --- biomarker signature --- gene expression analysis --- survival analysis --- functional analysis --- bioinformatics --- machine learning --- artificial intelligence --- Network Analysis --- single-cell sequencing --- circulating tumor DNA (ctDNA) --- Neoantigen Prediction --- precision medicine --- Computational Immunology

Regulatory microRNA

Authors: ---
ISBN: 9783038977681 9783038977698 Year: Pages: 348 DOI: 10.3390/books978-3-03897-769-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Genetics
Added to DOAB on : 2019-04-25 16:37:17
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This book includes updated information about microRNA regulation, for example, in the fields of circular RNAs, multiomics analysis, biomarkers and oncogenes. The variety of topics included in this book reaffirms the extent to which microRNA regulation affects biological processes. Although microRNAs are not translated to proteins, their importance for biological processes is not less than proteins. An understanding of their roles in various biological processes is critical to understanding gene function in these biological processes. Although non-coding RNAs other than microRNAs have recently come under investigation, microRNA still remains the front runner as the subject of genetic and biological studies. In reading the collection of papers, readers can grasp the most updated information regarding microRNA regulation, which will continue to be an important topic in genetics and biology.

Keywords

tensor decomposition --- miRNA transfection --- sequence-nonspecific off-target regulation --- extracellular vesicles --- cancer --- therapeutics --- miRNA --- virus --- host --- Cross-Kingdom --- target prediction --- microRNAs --- autophagy --- mitophagy --- cardiac diseases --- biomarker --- calf --- Ileum --- miRNA-mRNA integration --- miRNA sequencing --- growth --- development --- microRNA --- myelodysplastic syndromes --- acute myeloid leukemia --- azacitidine --- 14q32 --- MEG3 --- autophagy regulator --- transcriptional factor --- non-coding RNA --- regulatory network --- RWR algorithm --- circular RNA --- circFGFR2 --- FGFR2 --- miR-133a-5p --- miR-29b-1-5p --- skeletal muscle --- proliferation --- differentiation --- breast cancer --- CAFs --- estrogens --- GPER --- miR-338-3p --- c-Fos --- Cyclin D1 --- amyotrophic lateral sclerosis (ALS) --- biomarker --- microRNA --- cerebrospinal fluid (CSF) --- muscle biopsy --- circulating miRNAs --- RNA interference --- small interfering RNA --- microRNA --- oncolytic virotherapy --- conditionally replicating adenovirus (CRAd) --- biomarker --- gene --- microRNA --- parkinson’s disease --- miRNA --- bioinformatic analysis --- ischemic stroke --- miRNA-gene target interaction --- network --- biomarker --- diagnosis --- prognosis --- microRNAs --- epigenetic biomarker --- sepsis --- inflammation --- Teleostei --- embryogenesis --- tissue-enriched miRNAs --- post-transcriptional gene regulation --- miRNA expression and regulation --- passenger miRNA --- biomarker --- vascular injury --- smooth muscle cells --- porcine vein graft and stent models --- bone angiogenesis --- osteogenesis --- angiogenic-osteogenic coupling --- microRNAs --- bone regeneration --- bone formation --- bone tissue-engineering --- angiomiRs --- osteomiRs --- hypoxamiRs --- circular RNA --- circHIPK3 --- microRNA --- miR-30a-3p --- skeletal muscle --- proliferation --- differentiation

Molecular Research of Endometrial Pathophysiology

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ISBN: 9783039214952 9783039214969 Year: Pages: 378 DOI: 10.3390/books978-3-03921-496-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology
Added to DOAB on : 2019-12-09 16:10:12
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The endometrium has been the subject of intense research in a variety of clinical settings, because of its importance in the reproductive process and its role in women’s health. In the past 15 years, significant efforts have been invested in defining the molecular phenotype of the receptive phase endometrium as well as of various endometrial pathologies. Although this has generated a wealth of information on the molecular landscape of human endometrium, there is a need to complement this information in light of the novel methodologies and innovative technical approaches. The focus of this International Journal of Molecular Sciences Special Issue is on molecular and cellular mechanisms of endometrium and endometrium-related disorders. The progress made in the molecular actions of steroids, in the metabolism of steroids and intracrinology, in endometrial intracellular pathways, in stem cells biology, as well as in the molecular alterations underlying endometrium-related pathologies has been the focus of the reviews and papers included.

Keywords

RANK --- endometrium --- endometrial cancer --- prognosis --- immunohistochemistry --- gene expression --- endometriosis --- developmental pathway --- pathogenomics --- mesenchymal stem cells --- endometrial cancer --- mtDNA mutations --- deficit of complex I --- antioxidant response --- mitochondrial biogenesis --- mitochondrial dynamics --- mitophagy --- miRNA --- lncRNAs --- endometrial cancer --- endometriosis --- chronic endometritis --- cell contacts --- tight junction --- adherens junction --- gap junction --- endometrium --- implantation --- decidualization --- endometriosis --- endometrial cancer --- liquid biopsy --- uterine aspirate --- circulating tumour cells (CTCs) --- circulating tumour DNA (ctDNA) --- exosomes --- Vitamin D --- endometrium --- endometrial cancer --- endometrial cancer --- preclinical models --- translational research --- endometrial cancer --- type II endometrial carcinoma --- targeted therapy --- kinase inhibitor --- molecular marker --- protein kinase --- protein phosphatase --- PP2A --- PPP2R1A --- SMAP --- endometriosis --- infertility --- niche --- inflammation --- immunomodulation --- mesenchymal stem cell --- orthoxenograft --- uterine cancer --- avatar --- murine models --- personalized medicine --- targeted therapy --- preclinical studies --- translational research --- endometriosis --- TRP channels --- endometrial stromal cells --- eutopic and ectopic endometrium --- endometrial cell --- pathway --- proliferation --- decidualization --- migration --- angiogenesis --- regeneration --- breakdown --- implantation --- endometrial cancer --- orthotopic xenograft model --- estrogen dependent --- bioluminescence imaging --- contrast-enhanced CT scan --- endometrium --- adult stem cells --- endometrial regeneration --- stem cell markers --- endometriosis --- endometrial cancer --- decidualisation --- oestradiol --- aromatase --- testosterone --- dehydroepiandrosterone (DHEA) --- endometriosis --- endometrial cancer --- sulfatase --- endometriosis --- ectopic stroma --- microRNA --- small RNA sequencing --- EDN1 --- HOXA10 --- miR-139-5p --- miR-375 --- CTCF --- tumour suppressor gene --- haploinsufficiency --- zinc finger --- CRISPR/Cas9 --- cancer --- endometrial cancer --- gene editing --- phosphoinositide 3-kinase --- PIK3CA --- PIK3CB --- p110? --- p110? --- endometrial cancer --- LGR5 --- endometrium --- endometriosis --- menstrual cycle --- macrophages

Novel Aspects of Lipoprotein Metabolism with Focus on Systemic Inflammation

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ISBN: 9783039282142 9783039282159 Year: Pages: 248 DOI: 10.3390/books978-3-03928-215-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2020-04-07 23:07:09
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With cardiometabolic diseases still topping the list of mortality causes and in facing the obesity and diabetes epidemic, there remains a great need to better understand the pathophysiological derangements underlying these conditions. During the past years, it has become increasingly appreciated that low grade systemic inflammation is a common hallmark of cardiometabolic disorders—not only concerning diabetes and atherosclerotic cardiovascular disease but also involving non-alcoholic fatty liver disease. Recently developed high-throughput laboratory techniques for lipidomics and metabolomics have enabled researchers to discern novel crosstalk pathways between lipid phenotypes and enhanced chronic inflammation. With this Special Issue of the Journal of Clinical Medicine, entitled “Novel Aspects of Lipoprotein Metabolism with a Focus on Systemic Inflammation”, researchers were invited to submit original papers and reviews on various topics, in particular, at the interface of lipid metabolism and inflammation.

Keywords

carbamoylation --- chronic kidney disease --- lipoproteins --- infrared spectroscopy --- Breast cancer --- cholesterol --- 27-hydroxycholesterol --- HDL --- LDL --- cholesterol-lowering therapies --- biomarker --- anti-apolipoprotein A-1 antibodies --- renal transplant recipient --- HDL function --- prognosis --- cholesterol --- acute coronary syndrome --- biomarkers --- anti-apolipoprotein A-I autoantibodies --- GRACE score --- C-statistics --- adipose tissue --- ANGPTL3 --- ANGPTL4 --- ANGPTL8 --- lipid metabolism --- cholesterol efflux capacity --- coronary artery calcium score --- obesity --- anti-apoA-1 IgG --- autoantibodies --- cardiovascular disease --- C-reactive protein --- HDL --- paraoxonase-1 --- cardiovascular disease --- myocardial infarction --- diabetic cardiomyopathy --- cytokines --- interleukin 1? --- inflammation --- CANTOS --- canakinumab --- retinol binding protein 4 --- retinol --- lipoprotein subfractions --- large VLDL --- small LDL --- Type 2 diabetes mellitus --- metabolic syndrome --- nuclear magnetic resonance spectroscopy --- betaine --- trimethylamine N-oxide related metabolites --- nuclear magnetic resonance spectroscopy --- type 2 diabetes mellitus --- anti-apolipoprotein A-1 IgG --- familial hypercholesterolemia --- cholesterol homeostasis --- foam cells --- miR-33a --- TLR2/4 --- passive diffusion --- microvesicles --- inflammation --- lipoproteins --- LDL cholesterol --- microparticles --- cardiovascular disease --- platelets --- endothelial cells --- leukocytes --- atherothrombosis --- HDL --- lipids --- inflammation --- atherosclerotic cardiovascular disease (ASCVD) --- cardiovascular events --- GlycA --- non-alcoholic fatty liver --- sodium intake --- insulin resistance --- fatty liver index --- hepatic steatosis index --- HOMA-IR --- gut microbiota --- lipoprotein metabolism --- metabolic disorder --- adiponectin --- free thiols --- nuclear magnetic resonance spectroscopy --- phospholipid transfer protein activity --- triglycerides --- type 2 diabetes mellitus --- large very low density lipoproteins --- ANGPTL8 --- visceral adipose tissue (VAT) --- obesity --- endothelial cells

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