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Personalized Medicine and Neurosurgery

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453368 Year: Pages: 133 DOI: 10.3389/978-2-88945-336-8 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Surgery
Added to DOAB on : 2018-02-27 16:16:45
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The Precision Medicine Initiative, which was instituted by President Barack Obama on January 20, 2015, highlighted the importance that advances in genomics and related “-omic” approaches have made to science and medicine, and it set the stage for their federally funded and mandated integration into the delivery of health care. Whether these advances comprise large-scale approaches, such as The Cancer Genome Atlas, which provides a modern classification of cancers based on molecular profiles, or genealogy initiatives, which seek to trace the movement of our early ancestors out of Africa, genomic technology has taken us closer to developing targeted therapies and a refined understanding of our evolutionary journey. It is against this backdrop that we summarized some of the recent advances in the field of precision medicine, or personalized medicine, as they pertain to neurosurgery. In this e-Book collection provided by Frontiers in Surgery: Neurosurgery, we present a collection of articles by leaders in the field of neurosurgery that highlight domains using a personalized approach for the treatment of patients or avenues when personalization is possible and when it will likely alter the care of patients with neurological diseases.

Drug-Diagnostics Co-Development in Oncology

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889193325 Year: Pages: 111 DOI: 10.3389/978-2-88919-332-5 Language: English
Publisher: Frontiers Media SA
Subject: Oncology --- Medicine (General) --- Therapeutics --- Science (General)
Added to DOAB on : 2016-03-10 08:14:32
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The idea of combining drugs and diagnostics in oncology is not new. When the selective estrogen receptor modulator tamoxifen was developed in the 1970’s for the treatment of breast cancer a positive correlation between receptor status and treatment outcome was found. As a result of this research, it was suggested to use the estrogen-receptor assay as a diagnostic test for selection of patients for tamoxifen treatment. Despite this suggestion was put forward nearly 40 years ago the adaptation of the drug-diagnostic co-development model has been relatively slow and it is only within the last decade that it has gained more widespread acceptance. The parallel development of the monoclonal antibody trastuzumab (Herceptin®, Roche/Genentech) and the immunohistochemistry assay for HER2 protein overexpression (HercepTest™, Dako) seems to have served as an inspiration to a number of stakeholders such as pharma and diagnostic companies, regulatory agencies, and academia. In recent years we have seen an increasing number of oncology drug development projects that have taken advantage of the drug-diagnostic co-development model, as outline below. Most of the new targeted anti-cancer drugs that have been introduced in recent years, such as BRAF-, ALK-, EGFR- and HER2-inhibitors, are more or less all a product of the drugdiagnostic co-development model. These drugs have shown remarkable high response rates in selected groups of patients within cancer diseases with great unmet medical needs. This Research Topic on Drug-Diagnostic Co-Development in Oncology aims to provide you with an insight into some of the diverse activities that constitute this new research area.

Mathematics for Healthcare

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889455775 Year: Pages: 284 DOI: 10.3389/978-2-88945-577-5 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Physiology
Added to DOAB on : 2019-01-23 14:53:43
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In 1996, and with extraordinary prescience, Panfilov and Holden had highlighted in their seminal book 'Computational Biology of the Heart' that biology was, potentially, the most mathematical of all sciences. Fast-forward 20 years and we have seen an explotion of applications of mathematics in not only biology, but healthcare that has already produced significant breakthroughs not imaginable more than 20 years ago. Great strides have been made in explaining through quantitative methods the underlying mechanisms of human disease, not without considerable ingenuity and effort. Biological mechanisms are bewildering: complex, ever evolving, multi-scale, variable, difficult to fully access and understand. This poses immense challenges to the computational physiology community that, nevertheless, has developed an impressive arsenal of tools and methods in a vertiginous race to combat disease with the tall order of improving human healthcare. Mechanistic models are now contending with the advent of machine learning in healthcare and the hope is that both approaches will be used synergistically since the complexity of human patophysiology and the difficulty of acquiring human datasets will require both, deductive and inductive methods. This Research Topic presents work that is currently at the frontier in computational physiology with a striking range of applications, from diabetes to graft failure and using a multitude of mathematical tools. This collection of articles represents a snapshot in a field that is moving a dizzying speed, bringing understanding of fundamental mechanism and solutions to healthcare problems experienced by healthcare systems all over the world.

Precision Medicine in Oncology

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889457052 Year: Pages: 163 DOI: 10.3389/978-2-88945-705-2 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Oncology
Added to DOAB on : 2019-01-23 14:53:43
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The emerging precision medicine approach aims to tailor disease prevention and treatment to each patient on the basis of individual variability, environmental factors and lifestyle. Fundamental achievements in the last few decades have converged to offer nowadays the compelling opportunity to move towards this innovative approach: i) unprecedented improvements in disease modeling in silico, in vitro and in vivo; ii) acquisition of a wide range of biomedical information combined with the development of computational toolsets for flexible and integrative analyses of multi-assay datasets. Our deeper understanding of oncogenic mechanisms has finally begun to have a crucial impact on clinical decisions at several steps, from cancer prevention and diagnosis to therapeutic intervention. However, precision oncology still encounters several unresolved hurdles including tumour heterogeneity and recurrence as well as unexplained drug resistance and lack of effective ways to monitor response to therapeutic treatments. Notably, limitations in biomedical research regulation and governance represent additional debatable issues that need careful consideration.

Machine Learning With Radiation Oncology Big Data

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889457304 Year: Pages: 146 DOI: 10.3389/978-2-88945-730-4 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Oncology
Added to DOAB on : 2019-01-23 14:53:43
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Radiation oncology is uniquely positioned to harness the power of big data as vast amounts of data are generated at an unprecedented pace for individual patients in imaging studies and radiation treatments worldwide. The big data encountered in the radiotherapy clinic may include patient demographics stored in the electronic medical record (EMR) systems, plan settings and dose volumetric information of the tumors and normal tissues generated by treatment planning systems (TPS), anatomical and functional information from diagnostic and therapeutic imaging modalities (e.g., CT, PET, MRI and kVCBCT) stored in picture archiving and communication systems (PACS), as well as the genomics, proteomics and metabolomics information derived from blood and tissue specimens. Yet, the great potential of big data in radiation oncology has not been fully exploited for the benefits of cancer patients due to a variety of technical hurdles and hardware limitations.With recent development in computer technology, there have been increasing and promising applications of machine learning algorithms involving the big data in radiation oncology. This research topic is intended to present novel technological breakthroughs and state-of-the-art developments in machine learning and data mining in radiation oncology in recent years.

Homeostasis and Allostasis of Thyroid Function

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889455706 Year: Pages: 107 DOI: 10.3389/978-2-88945-570-6 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Internal medicine
Added to DOAB on : 2019-01-23 14:53:43
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The discovery of the negative feedback of thyroid hormones on pituitary thyroid-stimulating hormone (TSH) secretion, a classical endocrine feedback control system, has shaped diagnosis and treatment of thyroid disease for the last decades. Based on this concept, a unique diagnostic category of subclinical thyroid disorders was introduced, being defined exclusively by an abnormal TSH response in the presence of thyroid hormone concentrations within the reference range. Although this approach was able to deliver a conceptually straightforward disease definition problems surfaced in clinical practice as neither the diagnostic reference range nor the appropriate threshold for initiating substitution treatment are universally agreed upon for subclinical thyroid disorders. The situation is further aggravated by the so-called syndrome T, which comprises a substantial but heterogeneous group of L-T4 treated patients with hypothyroidism with reduced quality of life despite “normal” TSH values.

A limited understanding of the physiological relationships between TSH and thyroid hormones may be a main reason for clinical difficulties in dealing with the causes of syndrome T and tailoring substitution therapy for hypothyroid patients with subclinical thyroid disorders.

Feedback regulation has recently been shown to be much more complex than previously assumed. The concept of homeostatic control has also been extended to include the lesser known but equally important allostatic thyroid regulation.The latter aims at adaptive homeostasis or stability through changing setpoints and modulating structural parameters of feedback control, as may be appropriate to adapt to a vast array of conditions spanning from fetal life, aging, pregnancy, exercise, starvation, obesity, psychiatric disorders to the severe non-thyroidal illness syndrome.

A better understanding of homeostatic and allostatic mechanisms, which govern the behaviour of pituitary-thyroid feedback control, is on the horizon. This promises to improve the diagnostic utility of laboratory methods, laying the foundation for personalised methods to optimise dosage and modality of substitution therapy. The emerging new world of thyroid physiology is reflected on the side of clinical medicine in a new, relational paradigm for diagnosis and treatment.

Considerable progress has been made in this respect in the following key areas:

• the significance of complementary information processing structures within the feedback loop, in particular ultrashort feedback of TSH on its own secretion and the action of a TSH-T3 shunt unburdening the thyroid from T4 synthesis in imminent thyroid failure,

• the unravelling of spatio-temporal dynamics of hormone concentrations ranging from ultradian to circannual rhythms and including hysteresis effects,

• the emergence of “non-canonical” mechanisms of thyroid hormone signalling beyond transcriptional control of gene expression,

• the physiological actions of thyronine metabolites, which have been previously regarded as biologically inactive, such as thyronamines and iodothyroacetates,

• the characterisation of distinct patterns in the adaptive processes to stress and strain and their conclusive explanation through reactions to type 1 and type 2 allostatic load.

This collective volume contains the contributions to the Research Topic “Homeostasis and Allostasis of Thyroid Function”, which was originally published by the journal Frontiers in Endocrinology. Authored by an international team of experts from three continents ,the book provides a comprehensive overview on thyroid control from recent research in basic, computational and clinical thyroidology. Many aspects addressed here can be expected to stimulate future research. A more comprehensive view and better integration of in-vitro, in-silico and in-vivo investigations will be invaluable in paving the way to this new world of thyroidology.

The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889198726 Year: Pages: 194 DOI: 10.3389/978-2-88919-872-6 Language: English
Publisher: Frontiers Media SA
Subject: Genetics --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
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This eBook contains the 19 articles that were part of a Special Topic in Frontiers in Genetics entitled “Genetics Research in Electronic Health Records Linked to DNA Biobanks”. The Special Issue was published on-line in 2014-2015 and contained papers representing the diverse research ongoing in the integration of electronic health records (EHR) with genomics through basic, clinical, and translational research. We have divided the eBook into four Chapters. Chapter 1 describes the Electronic Medical Records and Genomics (eMERGE) network and its contri-bution to genomics. It highlights methodological questions related to large data sets such as imputation and population stratification. Chapter 2 describes the results of genetic studies on different diseases for which all the phenotypic information was extracted from the EHR with highly specific ePhenotyping algorithms. Chapter 3 focuses on more complex analyses of the genome including copy number variants (CNV), pleiotropy com-bined with phenome-wide association studies (PheWAS), and epistasis (gene-gene interactions). Chapter 4 discusses the use of genetic data together with EHR-derived clinical data in clinical settings, and how to return genetic results to patients and providers. It also contains a comprehensive review on genetic risk scores. We have included mostly Original Research Articles in the eBook, but also Reviews and Methods papers on the relevant topics of analyzing and integrating genomic data. The release of this eBook is timely, since several countries are launching Precision Medicine initiatives. Precision Medicine is a new concept in patient care taking into account individual variability in genetic, environmental and lifestyle factors, when treating diseases or trying to prevent them from developing. It has become an important focus for biomedical, clinical and translational informatics. The papers presented in this eBook are well positioned to educate the readers about Precision Medicine and to demonstrate the potential study designs, methods, strategies, and applications where this type of research can be performed successfully. The ultimate goal is to improve diagnostics and provide better, more targeted care to the patient.

Oxytocin's routes in social behavior: Into the 21st century

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889196968 Year: Pages: 132 DOI: 10.3389/978-2-88919-696-8 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2016-04-07 11:22:02
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Our brain is endowed with an incredible capacity to be social, to trust, to cooperate, to be altruistic, to feel empathy and love. Nevertheless, the biological underpinnings of such behaviors remain partially hardwired. Seminal research in rodents has provided important insights on the identification of specific genes in modulating social behaviors, in particular, the arginine vasopressin receptor and the oxytocin receptor genes. These genes are involved in regulating a wide range of social behaviors, mother-infant interactions, social recognition, aggression and socio-sexual behavior. Remarkably, we now know that these genes contribute to social behavior in a broad range of species from voles to humans. Indeed, advances in human non-invasive neuroimaging techniques and genetics have enabled scientists to begin to elucidate the neurobiological basis of the complexity of human social behaviors using "pharmacological fMRI" and "imaging genetics". Over the past few years, there has been a strong interest focused on the role of oxytocin in modulating human social behaviors with translational relevance for understanding neuropsychiatric disorders, such as autism, schizophrenia and depression, in which deficits in social perception and social recognition are key phenotypes. The convergence of this interdisciplinary research is beginning to reveal the complex nature of oxytocin’s actions. For instance, the way that oxytocin does influence social functioning is highly related to individual differences in social experiences, but also to the inter-individual variability in the receptor distribution of this molecule in the brain. Remarkably, despite the increasing evidence that oxytocin has a key role in regulating human social behavior, we still lack of knowledge on the core mechanisms of action of this molecule. Understanding its fundamental actions is a crucial need in order to target optimal therapeutic strategies for human social disorders. The originality of this Research Topic stands on its translational focus on bridging the gap between fundamental knowledge acquired from oxytocin research in voles and monkeys and recent clinical investigations in humans. For instance, what are the key animal findings that can import further knowledge on the mechanisms of actions of this molecule in humans? What are the key experiences that can be performed in the animal model in order to answer significant science gaps in the treatment of neuropsychiatric disorders? Hence, within this Research Topic, we will review the current state of the field, identify where the gaps in knowledge are, and propose directions for future research. This issue will begin with a comparative review that examines the role of this peptide in diverse animal models, which highlights the adaptive value of oxytocin’s function across multiple species. Then, a series of reviews will examine the role of oxytocin in voles, primates, and humans with an eye toward revealing commonalities in the underlying brain circuits mediating oxytocin’s effects on social behavior. Next, there will be a translational review highlighting the evidence for oxytocin’s role in clinical applications in psychopathology. Hence, via the continuum of basic to translational research areas, we will try to address the important gaps in our understanding of the neurobiological routes of social cognition and the mechanisms of action of the neuropeptides that guide our behaviors and decisions.

Plant Natural Products for Human Health

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ISBN: 9783038977124 Year: Pages: 514 DOI: 10.3390/books978-3-03897-713-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Therapeutics --- Medicine (General)
Added to DOAB on : 2019-04-05 10:34:31
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Plants have served mankind as an important source of foods and medicines. While we all consume plants and their products for nutritional support, a majority of the world population also rely on botanical remedies to meet their health needs, either as their own “traditional medicine” or as “complementary and alternative medicine”. From a pharmaceutical point of view, many compounds obtained from plant sources have long been known to possess bio/pharmacological activities, and historically, plants have yielded many important drugs for human use, from morphine discovered in the early nineteenth century to the more recent paclitaxel and artemisinin. Today, we are witnessing a global resurgence in interest and use of plant-based therapies and botanical products, and natural products remain an important and viable source of lead compounds in many drug discovery programs.This Special Issue on “Plant Natural Products for Human Health” compiles a series of scientific reports to demonstrate the medicinal potentials of plant natural products. It covers a range of disease targets, such as diabetes, inflammation, cancer, neurological disease, cardiovascular disease, liver damage, bacterial, and fungus infection and malarial. These papers provide important insights into the current state of research on drug discovery and new techniques. It is hoped that this Special Issue will serve as a timely reference for researchers and scholars who are interested in the discovery of potentially useful molecules from plant sources for health-related applications.

Keywords

heat-process --- onion --- calorie restriction --- Amadori rearrangement compounds --- hyperglycemia --- A549 cells --- hinokitiol --- MMPs --- p53/Bax --- antioxidant enzymes --- caspases --- migration --- cannabinoid type 1 receptor --- endoplasmic reticulum stress --- gluconeogenesis --- gomisin N --- lipogenesis --- insulin resistance --- garlic --- ischemia --- heme oxygenase --- reperfusion --- heart --- Keap1 --- Nrf2 --- Neuroprotective --- PC12 cells --- PhGs --- anti-malaria activity --- plants --- natural products --- ethnopharmacology --- Plasmodium parasites --- copaiba --- oleoresin --- essential oil --- sesquiterpenoids --- diterpenoids --- biological activity --- molecular targets --- Astragali Radix --- astragaloside IV --- genistein --- mitochondrial bioenergetics --- oxygen consumption rate --- natural products --- drug design and development --- innovation --- automation --- computational softwares --- bioinformatics --- precision medicine --- omics --- global health --- sweet orange --- bitter orange --- neroli --- orange petitgrain --- mandarin --- lemon --- lime --- grapefruit --- bergamot --- yuzu --- kumquat --- cannabigerol --- Cannabis sativa --- neuroinflammation --- oxidative stress --- phytocannabinoid --- iridoids --- nuclear factor-kappaB --- mitogen-activated protein kinase --- anti-inflammation --- Ziziphus jujuba --- triterpenic acids --- pharmacokinetic study --- acute liver injury --- A? --- AD --- lychee seed --- neuroinflammation --- catechin --- procyanidin A2 --- apoptosis --- cinnamamides --- antistaphylococcal activity --- time-kill assay --- biofilm --- antitubercular activity --- MTT assay --- antifungal activity --- PET inhibition --- toxicity --- structure–activity relationship --- bleeding time --- flavonoid --- morin hydrate --- OH· free radical --- platelet activation --- protein kinase --- thromboembolism --- Glycyrrhiza uralensis --- prenylated flavonoids --- antiproliferation --- differentiation --- melanoma cell --- adjuvant-induced arthritis --- arthritis --- celastrol --- curcumin --- dietary supplements --- EGCG --- green tea --- inflammation --- liposomes --- microbiome --- nanoparticles --- natural products --- resveratrol --- rheumatoid arthritis --- targeted delivery --- traditional medicine --- Tripterygium wilfordii --- triptolide --- Penthorum chinense Pursh --- NAFLD --- hepatic steatosis --- flavonoids --- SIRT1 --- AMPK --- dihydromyricetin --- myocardial hypertrophy --- oxidative stress --- sirtuin 3 --- ginseng --- human-hair-follicle dermal papilla cells --- WNT/?-catenin --- Shh/Gli --- TGF-? --- BMP/Smad --- mouse-hair growth --- Panax notoginseng saponins --- aspirin --- HepaRG cells --- herb–drug interactions --- P. eryngii --- glucans --- inflammation --- inflammatory bowel disease --- medicinal plants --- phytochemicals --- scoulerine --- bergapten --- immunomodulator --- adjuvant --- cytoxicity --- dendritic cells --- immune modulation --- APAP --- acetaminophen --- hepatotoxicity --- hpatoprotection --- paracetamol --- animals --- preclinical studies --- natural products --- small molecules --- phytochemicals --- plants --- fucoidan --- acetaminophen --- Nrf2 --- oxidative stress --- hepatotoxicity --- plant natural product --- drug discovery --- human health

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