Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0011854 (type 1 diabetes)
 20,749 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Post-translational modification of proteins by phosphorylation, methylation, acetylation, or ubiquitylation represent central mechanisms through which various biological processes are regulated. Reversible covalent modification (i.e., sumoylation) of proteins by the small ubiquitin-like modifier (SUMO) has also emerged as an important mechanism contributing to the dynamic regulation of protein function. Sumoylation has been linked to the pathogenesis of a variety of disorders including Alzheimer's disease (AD), Huntington's disease (HD), and type 1 diabetes (T1D). Advances in our understanding of the role of sumoylation suggested a novel regulatory mechanism for the regulation of immune responsive gene expression. In this review, we first update recent advances in the field of sumoylation, then specifically evaluate its regulatory role in several key signaling pathways for immune response and discuss its possible implication in T1D pathogenesis.
 ...
PMID:SUMO wrestling with type 1 diabetes. 1580 21

Tissue culture of immortal cell strains from diseased patients is an invaluable resource for medical research but is largely limited to tumor cell lines or transformed derivatives of native tissues. Here we describe the generation of induced pluripotent stem (iPS) cells from patients with a variety of genetic diseases with either Mendelian or complex inheritance; these diseases include adenosine deaminase deficiency-related severe combined immunodeficiency (ADA-SCID), Shwachman-Bodian-Diamond syndrome (SBDS), Gaucher disease (GD) type III, Duchenne (DMD) and Becker muscular dystrophy (BMD), Parkinson disease (PD), Huntington disease (HD), juvenile-onset, type 1 diabetes mellitus (JDM), Down syndrome (DS)/trisomy 21, and the carrier state of Lesch-Nyhan syndrome. Such disease-specific stem cells offer an unprecedented opportunity to recapitulate both normal and pathologic human tissue formation in vitro, thereby enabling disease investigation and drug development.
 ...
PMID:Disease-specific induced pluripotent stem cells. 1869 44

Meta-analysis of genomic coordinates of SNP variations identified in genome-wide association studies (GWAS) of up to 712,253 samples (comprising 221,158 disease cases, 322,862 controls, and 168,233 case/control subjects of obesity GWAS) reveals that 39% of SNPs associated with 22 common human disorders are located within intergenic regions. Chromatin-state maps based on H3K4me3-H3K36me3 signatures show that many intergenic disease-linked SNPs are located within the boundaries of the K4-K36 domains, suggesting that SNP-harboring genomic regions are transcribed. Here we report identification of 13 trans-regulatory RNAs (transRNAs) 100 to 200 nucleotides in length containing intergenic SNP sequences associated with Crohn's disease, rheumatoid arthritis, type 1 diabetes, vitiligo, hypertension and multiple types of epithelial malignancies (prostate, breast, ovarian and colorectal cancers). We demonstrate that NALP1 loci intergenic SNP sequence, rs2670660, is expressed in human cells and may contribute to clinical manifestations of autoimmune and autoimflammatory phenotypes by generating distinct allelic variants of transRNAs. Stable expression of allele-specific sense and anti-sense variants of transRNAs markedly alters cellular behavior, affect cell cycle progression, and interfere with monocyte/macrophage transdifferentiation. On a molecular level, forced expression of allele-specific sense and anti-sense variants of transRNAs asserts allele-specific genome-wide effects on abundance of hundreds microRNAs and mRNAs. Using lentiviral gene transfer, microarray and Q-RT-PCR technologies, we identify rs2670660 allele-specific gene expression signatures (GES) which appear useful for detecting the activated states of innate immunity/inflammasome pathways in approximately 700 clinical samples from 185 control subjects and 350 patients diagnosed with nine common human disorders, including Crohn's disease, ulcerative colitis, rheumatoid arthritis, Huntington disease, autism, Alzheimer disease, obesity, prostate and breast cancers. Microarray analysis of clinical samples demonstrates that rs2670660 allele-specific GES are engaged in patients' peripheral blood mononuclear cells (PBMC) which encounter pathological conditions in coherent tissues of a human body during immune surveillance and homeostasis monitoring. These data indicate that expression of transRNAs encoded by specific intergenic sequences can trigger activation of innate immunity/inflammasome pathways and contribute to clinical development of autoinflammatory and autoimmune syndromes. Documented in this work single-base substitution-driven molecular and biological antagonisms of intergenic SNP-containing transRNAs suggest a guiding mechanism of selection and retention of phenotype-compatible intergenic variations during evolution. According to this model, random genetic variations which generate transRNAs asserting antagonistic phenotype-altering effects compared to ancestral alleles will be selected and retained as SNP variants.
 ...
PMID:Identification of intergenic trans-regulatory RNAs containing a disease-linked SNP sequence and targeting cell cycle progression/differentiation pathways in multiple common human disorders. 1992 86

A growing understanding of the benefits of exercise over the past few decades has prompted researchers to take an interest in the possibilities of exercise therapy. Because each sport has its own set of characteristics and physiological complications that tend to occur during exercise training, the effects and underlying mechanisms of exercise remain unclear. Thus, the first step in probing the effects of exercise on different diseases is the selection of an optimal exercise protocol. This review summarizes the latest exercise prescription treatments for 26 different diseases: musculoskeletal system diseases (low back pain, tendon injury, osteoporosis, osteoarthritis, and hip fracture), metabolic system diseases (obesity, type 2 diabetes, type 1 diabetes, and nonalcoholic fatty liver disease), cardio-cerebral vascular system diseases (coronary artery disease, stroke, and chronic heart failure), nervous system diseases (Parkinson's disease, Huntington's disease, Alzheimer's disease, depression, and anxiety disorders), respiratory system diseases (chronic obstructive pulmonary disease, interstitial lung disease, and after lung transplantation), urinary system diseases (chronic kidney disease and after kidney transplantation), and cancers (breast cancer, colon cancer, prostate cancer, and lung cancer). Each exercise prescription is displayed in a corresponding table. The recommended type, intensity, and frequency of exercise prescriptions are summarized, and the effects of exercise therapy on the prevention and rehabilitation of different diseases are discussed.
 ...
PMID:Exercise as a prescription for patients with various diseases. 3153 17

Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease progression modeling is to describe patient status using a small number of states that represent distinctive distributions over a set of observed measures. Hidden Markov models (HMMs) and its variants are a class of models that both discover these states and make inferences of health states for patients. Despite the advantages of using the algorithms for discovering interesting patterns, it still remains challenging for medical experts to interpret model outputs, understand complex modeling parameters, and clinically make sense of the patterns. To tackle these problems, we conducted a design study with clinical scientists, statisticians, and visualization experts, with the goal to investigate disease progression pathways of chronic diseases, namely type 1 diabetes (T1D), Huntington's disease, Parkinson's disease, and chronic obstructive pulmonary disease (COPD). As a result, we introduce DPVis which seamlessly integrates model parameters and outcomes of HMMs into interpretable and interactive visualizations. In this study, we demonstrate that DPVis is successful in evaluating disease progression models, visually summarizing disease states, interactively exploring disease progression patterns, and building, analyzing, and comparing clinically relevant patient subgroups.
 ...
PMID:DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways. 3227