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Recently, many kinds of foods and food-derived nutrients have been reported to show health-beneficial effects. In particular, some foods and food-derived nutrients have shown anti-aging effects on several organs and tissues, such as brain, muscle, skin, intestine, and so on. In some kinds of foods, the molecular basis of their functionalities (e.g., anti-brain aging, anti-sarcopenia, and anti-skin aging) and inter-tissue networks activated by these foods mediated by exosomes, cytokines, and immune cells have been clarified in detail.
Research & information: general --- Biology, life sciences --- Food & society --- raw-milk cheese --- Caenorhabditis elegans --- longevity --- oxidative stress --- DAF-16 --- p38 MAPK --- anthocyanins --- structure --- glucose and lipid metabolism --- human health --- meta-analysis --- telomerase reverse transcriptase --- keratinocyte–hair follicle stem cell interaction --- exosomes --- telogen–anagen transition --- hair cycle regulation --- caffeine --- intestinal aging --- anti-aging --- vitellogenesis --- mitochondrial function --- oxidative stress response --- GABA --- exosome --- gut-brain interaction --- Caco-2 --- SH-SY5Y --- argan press-cake --- MITF --- JNK --- cAMP/PKA --- Wnt/β-catenin --- microarray analysis --- maslinic acid --- muscle atrophy --- muscle strength --- denervation --- olive peel --- SGLT1 --- transporter --- tangeretin --- cardamonin --- intestinal epithelial cell --- Phgdh --- liver --- l-serine deficiency --- insulin signaling --- glucose tolerance --- inflammaging --- aging related disorders --- low grade inflammation --- nutrients --- natural herbs --- pro-inflammatory cytokines --- regulatory T cells --- retinaldehyde dehydrogenase --- IgA --- quercetin --- luteolin
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The Identification of the Genetic Components of Autism Spectrum Disorders 2019 will serve as a resource for laboratory and clinical scientists as well as translational-based researchers, primary healthcare providers or physicians, psychologists/psychiatrists, neurologists, developmental pediatricians, clinical geneticists, and other healthcare providers, teachers, caregivers and students involved in autism spectrum disorders (ASD) with the goal to translate information directly to the clinic, education and home setting. Other professionals, students and families might find this textbook of value based on better awareness, causes and understanding of genetic components leading to autism and open avenues for treatment. Genetics play a role with up to 90% of autism, with over 800 currently recognized genes contributing to causes, clinical presentation, treatment, and counseling of family members. This textbook includes 13 chapters divided into three sections (clinical, genetics, other) written by experts in the field dedicated to research and clinical care, description, treatment and generating relevant reviews for ASD and related disorders impacting gene expression, profiling, and pathways. Identification of potential risk factors will be discussed, including obesity, microbiota, malignancy, and the immune system, as well as their direct or indirect contribution to ASD treatment and causation.
Research & information: general --- Biology, life sciences --- Genetics (non-medical) --- autism spectrum disorders (ASD) --- cancer --- overlapping genes and gene profiling --- super-pathways --- phenotypes and diseases --- molecular functions and processes --- 15q11.2 BP1-BP2 microdeletion (Burnside-Butler) syndrome --- imprinting --- parent-of-origin effects --- phenotype-genotype correlation --- autism --- developmental delays --- motor delays --- microbiome --- gut --- ProSAP2 --- Phelan McDermid Syndrome --- gut–brain interaction --- leaky gut --- IL-6 --- SHANK --- collapsin response mediator protein 4 --- autism spectrum disorder --- neurodevelopmental disorder --- whole-exome sequencing --- animal model --- sex different phenotypes --- 15q11.2 BP1–BP2 microdeletion (Burnside–Butler syndrome) --- NIPA1 --- NIPA2 --- CYFIP1 --- TUBGCP5 genes --- Prader–Willi and Angelman syndromes --- magnesium transporters and supplementation --- potential treatment options --- intellectual disability --- AMPA receptors --- NMDA receptors --- guanine nucleotide exchange factor --- synaptic plasticity --- Autism spectrum disorder --- ASD --- Obesity --- Overweight --- Body mass index --- BMI --- autism candidate genes --- synaptotagmin-like protein 4 (SYTL4) --- transmembrane protein 187 (TMEM187) --- SYTL4-protein structure --- STRING-protein-protein interaction --- expression profile --- microRNA- interactions --- autism spectrum disorders --- biological networks --- genomics --- multi-omics --- network diffusion --- data integration --- genetics --- quantitative traits --- stratification by trait severity --- heterogeneity reduction --- case-control association analysis --- fragile X syndrome --- RNA toxicity --- DNA methylation --- mosaicism --- pediatrics --- MS-QMA --- AmplideX --- cytokine --- monocyte --- β-glucan --- T cell cytokine --- trained immunity --- maternal immune activation --- epigenetics --- mice --- postnatal VPA injection --- SAM --- gene expression --- nanostring --- autism spectrum disorders (ASD) --- cancer --- overlapping genes and gene profiling --- super-pathways --- phenotypes and diseases --- molecular functions and processes --- 15q11.2 BP1-BP2 microdeletion (Burnside-Butler) syndrome --- imprinting --- parent-of-origin effects --- phenotype-genotype correlation --- autism --- developmental delays --- motor delays --- microbiome --- gut --- ProSAP2 --- Phelan McDermid Syndrome --- gut–brain interaction --- leaky gut --- IL-6 --- SHANK --- collapsin response mediator protein 4 --- autism spectrum disorder --- neurodevelopmental disorder --- whole-exome sequencing --- animal model --- sex different phenotypes --- 15q11.2 BP1–BP2 microdeletion (Burnside–Butler syndrome) --- NIPA1 --- NIPA2 --- CYFIP1 --- TUBGCP5 genes --- Prader–Willi and Angelman syndromes --- magnesium transporters and supplementation --- potential treatment options --- intellectual disability --- AMPA receptors --- NMDA receptors --- guanine nucleotide exchange factor --- synaptic plasticity --- Autism spectrum disorder --- ASD --- Obesity --- Overweight --- Body mass index --- BMI --- autism candidate genes --- synaptotagmin-like protein 4 (SYTL4) --- transmembrane protein 187 (TMEM187) --- SYTL4-protein structure --- STRING-protein-protein interaction --- expression profile --- microRNA- interactions --- autism spectrum disorders --- biological networks --- genomics --- multi-omics --- network diffusion --- data integration --- genetics --- quantitative traits --- stratification by trait severity --- heterogeneity reduction --- case-control association analysis --- fragile X syndrome --- RNA toxicity --- DNA methylation --- mosaicism --- pediatrics --- MS-QMA --- AmplideX --- cytokine --- monocyte --- β-glucan --- T cell cytokine --- trained immunity --- maternal immune activation --- epigenetics --- mice --- postnatal VPA injection --- SAM --- gene expression --- nanostring
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The Identification of the Genetic Components of Autism Spectrum Disorders 2019 will serve as a resource for laboratory and clinical scientists as well as translational-based researchers, primary healthcare providers or physicians, psychologists/psychiatrists, neurologists, developmental pediatricians, clinical geneticists, and other healthcare providers, teachers, caregivers and students involved in autism spectrum disorders (ASD) with the goal to translate information directly to the clinic, education and home setting. Other professionals, students and families might find this textbook of value based on better awareness, causes and understanding of genetic components leading to autism and open avenues for treatment. Genetics play a role with up to 90% of autism, with over 800 currently recognized genes contributing to causes, clinical presentation, treatment, and counseling of family members. This textbook includes 13 chapters divided into three sections (clinical, genetics, other) written by experts in the field dedicated to research and clinical care, description, treatment and generating relevant reviews for ASD and related disorders impacting gene expression, profiling, and pathways. Identification of potential risk factors will be discussed, including obesity, microbiota, malignancy, and the immune system, as well as their direct or indirect contribution to ASD treatment and causation.
autism spectrum disorders (ASD) --- cancer --- overlapping genes and gene profiling --- super-pathways --- phenotypes and diseases --- molecular functions and processes --- 15q11.2 BP1-BP2 microdeletion (Burnside-Butler) syndrome --- imprinting --- parent-of-origin effects --- phenotype-genotype correlation --- autism --- developmental delays --- motor delays --- microbiome --- gut --- ProSAP2 --- Phelan McDermid Syndrome --- gut–brain interaction --- leaky gut --- IL-6 --- SHANK --- collapsin response mediator protein 4 --- autism spectrum disorder --- neurodevelopmental disorder --- whole-exome sequencing --- animal model --- sex different phenotypes --- 15q11.2 BP1–BP2 microdeletion (Burnside–Butler syndrome) --- NIPA1 --- NIPA2 --- CYFIP1 --- TUBGCP5 genes --- Prader–Willi and Angelman syndromes --- magnesium transporters and supplementation --- potential treatment options --- intellectual disability --- AMPA receptors --- NMDA receptors --- guanine nucleotide exchange factor --- synaptic plasticity --- Autism spectrum disorder --- ASD --- Obesity --- Overweight --- Body mass index --- BMI --- autism candidate genes --- synaptotagmin-like protein 4 (SYTL4) --- transmembrane protein 187 (TMEM187) --- SYTL4-protein structure --- STRING-protein-protein interaction --- expression profile --- microRNA- interactions --- autism spectrum disorders --- biological networks --- genomics --- multi-omics --- network diffusion --- data integration --- genetics --- quantitative traits --- stratification by trait severity --- heterogeneity reduction --- case-control association analysis --- fragile X syndrome --- RNA toxicity --- DNA methylation --- mosaicism --- pediatrics --- MS-QMA --- AmplideX --- cytokine --- monocyte --- β-glucan --- T cell cytokine --- trained immunity --- maternal immune activation --- epigenetics --- mice --- postnatal VPA injection --- SAM --- gene expression --- nanostring
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