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Mechanisms of Adiponectin Action

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ISBN: 9783039212453 / 9783039212460 Year: Pages: 222 DOI: 10.3390/books978-3-03921-246-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology
Added to DOAB on : 2019-08-28 11:21:27
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The adipokine adiponectin is very concentrated in plasma, and decreased levels of adiponectin are associated with pathological conditions such as obesity, diabetes, cardiovascular diseases, and metabolic syndrome. When produced in its full-length form, adiponectin self-associates to generate multimeric complexes. The full-length form of adiponectin can be cleaved by the globular form of elastase that is produced locally, and the resulting biological effects are exerted in a paracrine or autocrine manner. The different forms of adiponectin bind to specific receptors consisting of two G-protein-independent, seven-transmembrane-spanning receptors, called AdipoR1 and AdipoR2, while T-cadherin has been identified as a potential receptor for high molecular weight complexes of adiponectin. Adiponectin exerts a key role in cellular metabolism, regulating glucose levels as well as fatty acid breakdown. However, its biological effects are heterogeneous, involving multiple target tissues. The Special Issue “Mechanisms of Adiponectin Action” highlights the pleiotropic role of this hormone through 3 research articles and 7 reviews. These papers focus on the recent knowledge regarding adiponectin in different target tissues, both in healthy and in diseased conditions.

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: eng
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.

Cell-Free Nucleic Acids

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ISBN: 9783039280742 / 9783039280759 Year: Pages: 248 DOI: 10.3390/books978-3-03928-075-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2020-01-30 16:39:46
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The deficits of mammography and the potential of noninvasive diagnostic testing using circulating miRNA profiles are presented in our first review article. Exosomes are important in the transfer of genetic information. The current knowledge on exosome-associated DNAs and on vesicle-associated DNAs and their role in pregnancy-related complications is presented in the next article. The major obstacle is the lack of a standardized technique for the isolation and measurement of exosomes. One review has summarized the latest results on cell-free nucleic acids in inflammatory bowel disease (IBD). Despite the extensive research, the etiology and exact pathogenesis are still unclear, although similarity to the cell-free ribonucleic acids (cfRNAs) observed in other autoimmune diseases seems to be relevant in IBD. Liquid biopsy is a useful tool for the differentiation of leiomyomas and sarcomas in the corpus uteri. One manuscript has collected the most important knowledge of mesenchymal uterine tumors and shows the benefits of noninvasive sampling. Microchimerism has also recently become a hot topic. It is discussed in the context of various forms of transplantation and transplantation-related advanced therapies, the available cell-free nucleic acid (cfNA) markers, and the detection platforms that have been introduced. Ovarian cancer is one of the leading serious malignancies among women, with a high incidence of mortality; the introduction of new noninvasive diagnostic markers could help in its early detection and treatment monitoring. Epigenetic regulation is very important during the development of diseases and drug resistance. Methylation changes are important signs during ovarian cancer development, and it seems that the CDH1 gene is a potential candidate for being a noninvasive biomarker in the diagnosis of ovarian cancer. Preeclampsia is a mysterious disease—despite intensive research, the exact details of its development are unknown. It seems that cell-free nucleic acids could serve as biomarkers for the early detection of this disease. Three research papers deal with the prenatal application of cfDNA. Copy number variants (CNVs) are important subjects for the study of human genome variations, as CNVs can contribute to population diversity and human genetic diseases. These are useful in NIPT as a source of population specific data. The reliability of NIPT depends on the accurate estimation of fetal fraction. Improvement in the success rate of in vitro fertilization (IVF) and embryo transfer (ET) is an important goal. The measurement of embryo-specific small noncoding RNAs in culture media could improve the efficiency of ET.

Keywords

breast cancer --- screening --- liquid biopsy --- omics --- multi-level diagnostics --- individualized patient profile --- miRNA --- mammography --- predictive and preventive approach --- personalized medicine --- cell-free DNA --- exosomes --- extracellular vesicles --- fetal DNA --- preeclampsia --- growth retardation --- gestational diabetes mellitus --- miRNA --- piRNA --- NGS --- RT-PCR --- embryo culture medium --- C19MC microRNA --- expression --- exosomes --- fetal growth restriction --- gestational hypertension --- plasma --- prediction --- preeclampsia --- pregnancy-related complications --- screening --- non-invasive prenatal testing --- statistical models --- z-score --- cell-free nucleic acids --- circulating nucleic acids --- cell-free DNAs --- cell-free RNAs --- exosomes --- inflammatory bowel disease --- neutrophil extracellular traps --- NETosis --- liquid biopsy --- cell-free nucleic acids --- circulating tumor cells --- leiomyomas --- sarcomas --- leiomyosarcomas --- exosomes --- NIPT --- fetal fraction --- statistical methods --- DNA --- maternal serum screening --- fetal cells --- liquid biopsy --- pyrosequencing --- ovarian cancer --- CDH1 --- PTEN --- PAX1 --- RASSF1 --- cfDNA --- cell-free DNA --- nuclease activity --- aging --- obesity --- gender differences --- copy number variants --- next generation sequencing --- non-invasive prenatal testing --- population study --- microchimerism --- solid organ transplantation --- hematopoietic stem cell transplantation --- genetic marker --- single nucleotide polymorphism --- deletion/insertion polymorphism --- ovarian cancer --- circulating miRNA --- blood plasma --- NanoString --- network analysis --- biomarker --- n/a

Looking Forward to the Future of Heparin: New Sources, Developments and Applications

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ISBN: 9783038429494 / 9783038429500 Year: Pages: 282 DOI: 10.3390/books978-3-03842-950-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General)
Added to DOAB on : 2019-08-28 11:21:28
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Abstract

This book is a printed edition of the Special Issue Looking Forward to the Future of Heparin: New Sources, Developments and Applications that was published in Molecules

Keywords

thrombin inhibition --- LMWH --- antithrombin --- heparin oligosaccharides --- ternary complex --- heparin --- hepcidin --- iron homeostasis --- anemia --- heparin-induced thrombocytopenia --- diagnosis --- functional assay --- platelets --- heparin --- heparan sulphate --- TGF-? --- bone morphogenetic protein (BMP) --- growth and differentiation factor (GDF) --- GDNF --- BMP antagonists --- noggin --- sclerostin --- gremlin --- heparin --- enoxaparin --- subarachnoid hemorrhage --- edema --- brain injury --- inflammation --- cisplatin --- low molecular weight heparin (LMWH) --- ovarian cancer --- resistance --- heparin --- glycosaminoglycans --- chondroitin sulfate --- perylene diimide dyes --- dermatan sulfate --- fluorescent probe --- Heparin Red --- assay --- dermatan sulfate --- human plasma --- heparin --- alginate --- sulfated alginate --- biomaterials --- heparin --- heparan sulfate --- serglycin --- proteoglycan --- recombinant expression --- bioreactor --- theranostics --- solid lipid nanoparticles --- iron oxide nanoparticles --- heparin coating --- intestinal lymphatic absorption --- heparin --- heparin process --- manufacturing methods --- industrial --- super paramagnetic iron oxide nanoparticles (SPION) --- hyaluronic acid (HA) --- bovine serum albumin (BSA) --- Fe3O4·DA-BSA/HA --- paclitaxel (PTX) --- magnetic resonance imaging (MRI) --- low-molecular-weight heparin --- dalteparin --- NMR --- LC-MS --- affinity chromatography --- danaparoid sodium --- low molecular weight glycosaminoglycans --- orthogonal multi-analytical methods --- sequence and compositional investigations --- component quantitative analysis --- heparin --- crude heparin --- NMR --- quantitative NMR --- PCA --- chemometric --- HSQC --- bovine heparin --- porcine heparin --- molecular weight --- size exclusion chromatography --- pharmacopeia --- Fondaparinux sodium --- extended physicochemical characterization --- qNMR --- single crystal X-ray structure --- reference standard --- iduronic acid conformation --- Arixtra® --- n/a --- n/a --- 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: eng
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

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