nitrogen-dioxide and Diabetes-Mellitus

Middle East Respiratory Syndrome (MERS) is a novel respiratory illness firstly reported in Saudi Arabia in 2012. It is caused by a new corona virus, called MERS corona virus (MERS-CoV). Most people who have MERS-CoV infection developed severe acute respiratory illness.. This work is done to determine the clinical characteristics and the outcome of intensive care unit (ICU) admitted patients with confirmed MERS-CoV infection.. This study included 32 laboratory confirmed MERS corona virus infected patients who were admitted into ICU. It included 20 (62.50%) males and 12 (37.50%) females. The mean age was 43.99 ± 13.03 years. Diagnosis was done by real-time reverse transcription polymerase chain reaction (rRT-PCR) test for corona virus on throat swab, sputum, tracheal aspirate, or bronchoalveolar lavage specimens. Clinical characteristics, co-morbidities and outcome were reported for all subjects.. Most MERS corona patients present with fever, cough, dyspnea, sore throat, runny nose and sputum. The presence of abdominal symptoms may indicate bad prognosis. Prolonged duration of symptoms before patients' hospitalization, prolonged duration of mechanical ventilation and hospital stay, bilateral radiological pulmonary infiltrates, and hypoxemic respiratory failure were found to be strong predictors of mortality in such patients. Also, old age, current smoking, smoking severity, presence of associated co-morbidities like obesity, diabetes mellitus, chronic heart diseases, COPD, malignancy, renal failure, renal transplantation and liver cirrhosis are associated with a poor outcome of ICU admitted MERS corona virus infected patients.. Plasma HO-1, ferritin, p21, and NQO1 were all elevated at baseline in CKD participants. Plasma HO-1 and urine NQO1 levels each inversely correlated with eGFR (. SnPP can be safely administered and, after its injection, the resulting changes in plasma HO-1, NQO1, ferritin, and p21 concentrations can provide information as to antioxidant gene responsiveness/reserves in subjects with and without kidney disease.. A Study with RBT-1, in Healthy Volunteers and Subjects with Stage 3-4 Chronic Kidney Disease, NCT0363002 and NCT03893799.. HFNC did not significantly modify work of breathing in healthy subjects. However, a significant reduction in the minute volume was achieved, capillary [Formula: see text] remaining constant, which suggests a reduction in dead-space ventilation with flows > 20 L/min. (ClinicalTrials.gov registration NCT02495675).. 3 组患者手术时间、术中显性失血量及术后 1 周血红蛋白下降量比较差异均无统计学意义（. 对于肥胖和超重的膝关节单间室骨关节炎患者，采用 UKA 术后可获满意短中期疗效，远期疗效尚需进一步随访观察。.. Decreased muscle strength was identified at both time points in patients with hEDS/HSD. The evolution of most muscle strength parameters over time did not significantly differ between groups. Future studies should focus on the effectiveness of different types of muscle training strategies in hEDS/HSD patients.. These findings support previous adverse findings of e-cigarette exposure on neurodevelopment in a mouse model and provide substantial evidence of persistent adverse behavioral and neuroimmunological consequences to adult offspring following maternal e-cigarette exposure during pregnancy. https://doi.org/10.1289/EHP6067.. This RCT directly compares a neoadjuvant chemotherapy regimen with a standard CROSS regimen in terms of overall survival for patients with locally advanced ESCC. The results of this RCT will provide an answer for the controversy regarding the survival benefits between the two treatment strategies.. NCT04138212, date of registration: October 24, 2019.. Results of current investigation indicated that milk type and post fermentation cooling patterns had a pronounced effect on antioxidant characteristics, fatty acid profile, lipid oxidation and textural characteristics of yoghurt. Buffalo milk based yoghurt had more fat, protein, higher antioxidant capacity and vitamin content. Antioxidant and sensory characteristics of T. If milk is exposed to excessive amounts of light, Vitamins B. The two concentration of ZnO nanoparticles in the ambient air produced two different outcomes. The lower concentration resulted in significant increases in Zn content of the liver while the higher concentration significantly increased Zn in the lungs (p < 0.05). Additionally, at the lower concentration, Zn content was found to be lower in brain tissue (p < 0.05). Using TEM/EDX we detected ZnO nanoparticles inside the cells in the lungs, kidney and liver. Inhaling ZnO NP at the higher concentration increased the levels of mRNA of the following genes in the lungs: Mt2 (2.56 fold), Slc30a1 (1.52 fold) and Slc30a5 (2.34 fold). At the lower ZnO nanoparticle concentration, only Slc30a7 mRNA levels in the lungs were up (1.74 fold). Thus the two air concentrations of ZnO nanoparticles produced distinct effects on the expression of the Zn-homeostasis related genes.. Until adverse health effects of ZnO nanoparticles deposited in organs such as lungs are further investigated and/or ruled out, the exposure to ZnO nanoparticles in aerosols should be avoided or minimised.

Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor Proteins, Signal Transducing; Adenine; Adenocarcinoma; Adipogenesis; Administration, Cutaneous; Administration, Ophthalmic; Adolescent; Adsorption; Adult; Aeromonas hydrophila; Aerosols; Aged; Aged, 80 and over; Aging; Agriculture; Air Pollutants; Air Pollution; Airway Remodeling; Alanine Transaminase; Albuminuria; Aldehyde Dehydrogenase 1 Family; Algorithms; AlkB Homolog 2, Alpha-Ketoglutarate-Dependent Dioxygenase; Alzheimer Disease; Amino Acid Sequence; Ammonia; Ammonium Compounds; Anaerobiosis; Anesthetics, Dissociative; Anesthetics, Inhalation; Animals; Anti-Bacterial Agents; Anti-HIV Agents; Anti-Infective Agents; Anti-Inflammatory Agents; Antibiotics, Antineoplastic; Antibodies, Antineutrophil Cytoplasmic; Antibodies, Monoclonal, Humanized; Antifungal Agents; Antigens, Bacterial; Antigens, CD; Antigens, Differentiation, Myelomonocytic; Antimetabolites, Antineoplastic; Antineoplastic Agents; Antineoplastic Combined Chemotherapy Protocols; Antioxidants; Antitubercular Agents; Antiviral Agents; Apolipoproteins E; Apoptosis; Arabidopsis; Arabidopsis Proteins; Arsenic; Arthritis, Rheumatoid; Asthma; Atherosclerosis; ATP-Dependent Proteases; Attitude of Health Personnel; Australia; Austria; Autophagy; Axitinib; Bacteria; Bacterial Outer Membrane Proteins; Bacterial Proteins; Bacterial Toxins; Bacterial Typing Techniques; Bariatric Surgery; Base Composition; Bayes Theorem; Benzoxazoles; Benzylamines; beta Catenin; Betacoronavirus; Betula; Binding Sites; Biological Availability; Biological Oxygen Demand Analysis; Biomarkers; Biomarkers, Tumor; Biopsy; Bioreactors; Biosensing Techniques; Birth Weight; Blindness; Blood Chemical Analysis; Blood Gas Analysis; Blood Glucose; Blood Pressure; Blood Pressure Monitoring, Ambulatory; Blood-Brain Barrier; Blotting, Western; Body Mass Index; Body Weight; Bone and Bones; Bone Density; Bone Resorption; Borates; Brain; Brain Infarction; Brain Injuries, Traumatic; Brain Neoplasms; Breakfast; Breast Milk Expression; Breast Neoplasms; Bronchi; Bronchoalveolar Lavage Fluid; Buffaloes; Cadherins; Calcification, Physiologic; Calcium Compounds; Calcium, Dietary; Cannula; Caprolactam; Carbon; Carbon Dioxide; Carboplatin; Carcinogenesis; Carcinoma, Ductal; Carcinoma, Ehrlich Tumor; Carcinoma, Hepatocellular; Carcinoma, Non-Small-Cell Lung; Carcinoma, Pancreatic Ductal; Carcinoma, Renal Cell; Cardiovascular Diseases; Carps; Carrageenan; Case-Control Studies; Catalysis; Catalytic Domain; Cattle; CD8-Positive T-Lymphocytes; Cell Adhesion; Cell Cycle Proteins; Cell Death; Cell Differentiation; Cell Line; Cell Line, Tumor; Cell Movement; Cell Nucleus; Cell Phone Use; Cell Proliferation; Cell Survival; Cell Transformation, Neoplastic; Cell Transformation, Viral; Cells, Cultured; Cellulose; Chemical Phenomena; Chemoradiotherapy; Child; Child Development; Child, Preschool; China; Chitosan; Chlorocebus aethiops; Cholecalciferol; Chromatography, Liquid; Circadian Clocks; Circadian Rhythm; Circular Dichroism; Cisplatin; Citric Acid; Clinical Competence; Clinical Laboratory Techniques; Clinical Trials, Phase I as Topic; Clinical Trials, Phase II as Topic; Clostridioides difficile; Clostridium Infections; Coculture Techniques; Cohort Studies; Cold Temperature; Colitis; Collagen Type I; Collagen Type I, alpha 1 Chain; Collagen Type XI; Color; Connective Tissue Diseases; Copper; Coronary Angiography; Coronavirus 3C Proteases; Coronavirus Infections; Cost of Illness; Counselors; COVID-19; COVID-19 Testing; Creatine Kinase; Creatinine; Cross-Over Studies; Cross-Sectional Studies; Cryoelectron Microscopy; Cryosurgery; Crystallography, X-Ray; Cues; Cultural Competency; Cultural Diversity; Curriculum; Cyclic AMP Response Element-Binding Protein; Cyclin-Dependent Kinase Inhibitor p21; Cycloparaffins; Cysteine Endopeptidases; Cytokines; Cytoplasm; Cytoprotection; Databases, Factual; Denitrification; Deoxycytidine; Diabetes Complications; Diabetes Mellitus; Diabetes Mellitus, Experimental; Diabetes Mellitus, Type 1; Diabetes Mellitus, Type 2; Diagnosis, Differential; Diatoms; Diet; Diet, High-Fat; Dietary Exposure; Diffusion Magnetic Resonance Imaging; Diketopiperazines; Dipeptidyl Peptidase 4; Dipeptidyl-Peptidase IV Inhibitors; Disease Models, Animal; Disease Progression; Disease-Free Survival; DNA; DNA Damage; DNA Glycosylases; DNA Repair; DNA-Binding Proteins; DNA, Bacterial; DNA, Viral; Docetaxel; Dose Fractionation, Radiation; Dose-Response Relationship, Drug; Down-Regulation; Doxorubicin; Drosophila; Drosophila melanogaster; Drug Carriers; Drug Delivery Systems; Drug Liberation; Drug Repositioning; Drug Resistance, Bacterial; Drug Resistance, Multiple, Bacterial; Drug Resistance, Neoplasm; Drug Screening Assays, Antitumor; Drug Synergism; Drug Therapy, Combination; Edema; Edible Grain; Education, Graduate; Education, Medical, Graduate; Education, Pharmacy; Ehlers-Danlos Syndrome; Electron Transport Complex III; Electron Transport Complex IV; Electronic Nicotine Delivery Systems; Emergency Service, Hospital; Empathy; Emulsions; Endothelial Cells; Endurance Training; Energy Intake; Enterovirus A, Human; Environment; Environmental Monitoring; Enzyme Assays; Enzyme Inhibitors; Epithelial Cells; Epithelial-Mesenchymal Transition; Epoxide Hydrolases; Epoxy Compounds; Erythrocyte Count; Erythrocytes; Escherichia coli; Escherichia coli Infections; Escherichia coli Proteins; Esophageal Neoplasms; Esophageal Squamous Cell Carcinoma; Esophagectomy; Estrogens; Etanercept; Ethiopia; Ethnicity; Ethylenes; Exanthema; Exercise; Exercise Test; Exercise Tolerance; Extracellular Matrix; Extracorporeal Membrane Oxygenation; Eye Infections, Fungal; False Negative Reactions; Fatty Acids; Fecal Microbiota Transplantation; Feces; Female; Femur Neck; Fermentation; Ferritins; Fetal Development; Fibroblast Growth Factor-23; Fibroblast Growth Factors; Fibroblasts; Fibroins; Fish Proteins; Flavanones; Flavonoids; Focus Groups; Follow-Up Studies; Food Handling; Food Supply; Food, Formulated; Forced Expiratory Volume; Forests; Fractures, Bone; Fruit and Vegetable Juices; Fusobacteria; G1 Phase Cell Cycle Checkpoints; G2 Phase Cell Cycle Checkpoints; Gamma Rays; Gastrectomy; Gastrointestinal Microbiome; Gastrointestinal Stromal Tumors; Gefitinib; Gels; Gemcitabine; Gene Amplification; Gene Expression; Gene Expression Regulation; Gene Expression Regulation, Bacterial; Gene Expression Regulation, Neoplastic; Gene Expression Regulation, Plant; Gene Knockdown Techniques; Gene-Environment Interaction; Genotype; Germany; Glioma; Glomerular Filtration Rate; Glucagon; Glucocorticoids; Glycemic Control; Glycerol; Glycogen Synthase Kinase 3 beta; Glycolipids; Glycolysis; Goblet Cells; Gram-Negative Bacterial Infections; Granulocyte Colony-Stimulating Factor; Graphite; Greenhouse Effect; Guanidines; Haemophilus influenzae; HCT116 Cells; Health Knowledge, Attitudes, Practice; Health Personnel; Health Services Accessibility; Health Services Needs and Demand; Health Status Disparities; Healthy Volunteers; Heart Failure; Heart Rate; Heart Transplantation; Heart-Assist Devices; HEK293 Cells; Heme; Heme Oxygenase-1; Hemolysis; Hemorrhage; Hepatitis B; Hepatitis B e Antigens; Hepatitis B Surface Antigens; Hepatitis B virus; Hepatitis B, Chronic; Hepatocytes; Hexoses; High-Throughput Nucleotide Sequencing; Hippo Signaling Pathway; Histamine; Histamine Agonists; Histidine; Histone Deacetylase 2; HIV Infections; HIV Reverse Transcriptase; HIV-1; Homebound Persons; Homeodomain Proteins; Homosexuality, Male; Hospice and Palliative Care Nursing; HSP70 Heat-Shock Proteins; Humans; Hyaluronan Receptors; Hydrogen; Hydrogen Peroxide; Hydrogen-Ion Concentration; Hydrolysis; Hydroxymethylglutaryl-CoA Reductase Inhibitors; Hypoglycemia; Hypoglycemic Agents; Hypoxia; Idiopathic Interstitial Pneumonias; Imaging, Three-Dimensional; Imatinib Mesylate; Immunotherapy; Implementation Science; Incidence; INDEL Mutation; Induced Pluripotent Stem Cells; Industrial Waste; Infant; Infant, Newborn; Inflammation; Inflammation Mediators; Infliximab; Infusions, Intravenous; Inhibitory Concentration 50; Injections; Insecticides; Insulin-Like Growth Factor Binding Protein 5; Insulin-Secreting Cells; Interleukin-1; Interleukin-17; Interleukin-8; Internship and Residency; Intestines; Intracellular Signaling Peptides and Proteins; Ion Transport; Iridaceae; Iridoid Glucosides; Islets of Langerhans Transplantation; Isodon; Isoflurane; Isotopes; Italy; Joint Instability; Ketamine; Kidney; Kidney Failure, Chronic; Kidney Function Tests; Kidney Neoplasms; Kinetics; Klebsiella pneumoniae; Knee Joint; Kruppel-Like Factor 4; Kruppel-Like Transcription Factors; Lactate Dehydrogenase 5; Laparoscopy; Laser Therapy; Lasers, Semiconductor; Lasers, Solid-State; Laurates; Lead; Leukocyte L1 Antigen Complex; Leukocytes, Mononuclear; Light; Lipid Peroxidation; Lipopolysaccharides; Liposomes; Liver; Liver Cirrhosis; Liver Neoplasms; Liver Transplantation; Locomotion; Longitudinal Studies; Lopinavir; Lower Urinary Tract Symptoms; Lubricants; Lung; Lung Diseases, Interstitial; Lung Neoplasms; Lymphocyte Activation; Lymphocytes, Tumor-Infiltrating; Lymphoma, Mantle-Cell; Lysosomes; Macrophages; Male; Manganese Compounds; MAP Kinase Kinase 4; Mass Screening; Maternal Health; Medicine, Chinese Traditional; Melanoma, Experimental; Memantine; Membrane Glycoproteins; Membrane Proteins; Mesenchymal Stem Cell Transplantation; Metal Nanoparticles; Metalloendopeptidases; Metalloporphyrins; Methadone; Methane; Methicillin-Resistant Staphylococcus aureus; Mexico; Mice; Mice, Inbred BALB C; Mice, Inbred C57BL; Mice, Inbred ICR; Mice, Knockout; Mice, Nude; Mice, SCID; Mice, Transgenic; Microarray Analysis; Microbial Sensitivity Tests; Microbiota; Micronutrients; MicroRNAs; Microscopy, Confocal; Microsomes, Liver; Middle Aged; Milk; Milk, Human; Minority Groups; Mitochondria; Mitochondrial Membranes; Mitochondrial Proteins; Models, Animal; Models, Molecular; Molecular Conformation; Molecular Docking Simulation; Molecular Dynamics Simulation; Molecular Epidemiology; Molecular Structure; Molecular Weight; Multilocus Sequence Typing; Multimodal Imaging; Muscle Strength; Muscle, Skeletal; Muscular Diseases; Mutation; Mycobacterium tuberculosis; Myocardial Stunning; Myristates; NAD(P)H Dehydrogenase (Quinone); Nanocomposites; Nanogels; Nanoparticles; Nanotechnology; Naphthalenes; Nasal Cavity; National Health Programs; Necrosis; Needs Assessment; Neoadjuvant Therapy; Neonicotinoids; Neoplasm Invasiveness; Neoplasm Metastasis; Neoplasm Proteins; Neoplasm Recurrence, Local; Neoplasm Staging; Neoplasm Transplantation; Neoplasms; Neoplastic Stem Cells; Netherlands; Neuroblastoma; Neuroprotective Agents; Neutrophils; NF-kappa B; NFATC Transcription Factors; Nicotiana; Nicotine; Nitrates; Nitrification; Nitrites; Nitro Compounds; Nitrogen; Nitrogen Dioxide; North Carolina; Nuclear Magnetic Resonance, Biomolecular; Nuclear Proteins; Nucleic Acid Hybridization; Nucleosomes; Nutrients; Obesity; Obesity, Morbid; Oceans and Seas; Oncogene Protein v-akt; Oncogenes; Oocytes; Open Reading Frames; Osteoclasts; Osteogenesis; Osteoporosis; Osteoporosis, Postmenopausal; Outpatients; Ovarian Neoplasms; Ovariectomy; Overweight; Oxazines; Oxidants; Oxidation-Reduction; Oxidative Stress; Oxides; Oxidoreductases; Oxygen; Oxygen Inhalation Therapy; Oxygenators, Membrane; Ozone; Paclitaxel; Paenibacillus; Pain Measurement; Palliative Care; Pancreatic Neoplasms; Pandemics; Parasympathetic Nervous System; Particulate Matter; Pasteurization; Patient Preference; Patient Satisfaction; Pediatric Obesity; Permeability; Peroxiredoxins; Peroxynitrous Acid; Pharmaceutical Services; Pharmacists; Pharmacy; Phaseolus; Phenotype; Phoeniceae; Phosphates; Phosphatidylinositol 3-Kinases; Phospholipid Transfer Proteins; Phospholipids; Phosphorus; Phosphorylation; Photoperiod; Photosynthesis; Phylogeny; Physical Endurance; Physicians; Pilot Projects; Piperidines; Pituitary Adenylate Cyclase-Activating Polypeptide; Plant Extracts; Plant Leaves; Plant Proteins; Plant Roots; Plaque, Atherosclerotic; Pneumonia; Pneumonia, Viral; Point-of-Care Testing; Polyethylene Glycols; Polymers; Polysorbates; Pore Forming Cytotoxic Proteins; Positron Emission Tomography Computed Tomography; Positron-Emission Tomography; Postprandial Period; Poverty; Pre-Exposure Prophylaxis; Prediabetic State; Predictive Value of Tests; Pregnancy; Pregnancy Trimester, First; Pregnancy, High-Risk; Prenatal Exposure Delayed Effects; Pressure; Prevalence; Primary Graft Dysfunction; Primary Health Care; Professional Role; Professionalism; Prognosis; Progression-Free Survival; Prolactin; Promoter Regions, Genetic; Proof of Concept Study; Proportional Hazards Models; Propylene Glycol; Prospective Studies; Prostate; Protein Binding; Protein Biosynthesis; Protein Isoforms; Protein Kinase Inhibitors; Protein Phosphatase 2; Protein Processing, Post-Translational; Protein Serine-Threonine Kinases; Protein Structure, Tertiary; Protein Transport; Proteoglycans; Proteome; Proto-Oncogene Proteins c-akt; Proto-Oncogene Proteins c-myc; Proto-Oncogene Proteins c-ret; Proto-Oncogene Proteins p21(ras); Proton Pumps; Protons; Protoporphyrins; Pseudomonas aeruginosa; Pseudomonas fluorescens; Pulmonary Artery; Pulmonary Disease, Chronic Obstructive; Pulmonary Gas Exchange; Pulmonary Veins; Pyrazoles; Pyridines; Pyrimidines; Qualitative Research; Quinoxalines; Rabbits; Random Allocation; Rats; Rats, Sprague-Dawley; Rats, Wistar; Receptors, Histamine H3; Receptors, Immunologic; Receptors, Transferrin; Recombinant Proteins; Recurrence; Reference Values; Referral and Consultation; Regional Blood Flow; Registries; Regulon; Renal Insufficiency, Chronic; Reperfusion Injury; Repressor Proteins; Reproducibility of Results; Republic of Korea; Research Design; Resistance Training; Respiration, Artificial; Respiratory Distress Syndrome; Respiratory Insufficiency; Resuscitation; Retinal Dehydrogenase; Retreatment; Retrospective Studies; Reverse Transcriptase Inhibitors; Rhinitis, Allergic; Ribosomal Proteins; Ribosomes; Risk Assessment; Risk Factors; Ritonavir; Rivers; RNA Interference; RNA-Seq; RNA, Messenger; RNA, Ribosomal, 16S; RNA, Small Interfering; Rosuvastatin Calcium; Rural Population; Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins; Salivary Ducts; Salivary Gland Neoplasms; San Francisco; SARS-CoV-2; Satiation; Satiety Response; Schools; Schools, Pharmacy; Seasons; Seawater; Selection, Genetic; Sequence Analysis, DNA; Serine-Threonine Kinase 3; Sewage; Sheep; Sheep, Domestic; Shock, Hemorrhagic; Signal Transduction; Silver; Silymarin; Single Photon Emission Computed Tomography Computed Tomography; Sirolimus; Sirtuin 1; Skin; Skin Neoplasms; Skin Physiological Phenomena; Sleep Initiation and Maintenance Disorders; Social Class; Social Participation; Social Support; Soil; Soil Microbiology; Solutions; Somatomedins; Soot; Specimen Handling; Spectrophotometry, Ultraviolet; Spectroscopy, Fourier Transform Infrared; Spectrum Analysis; Spinal Fractures; Spirometry; Staphylococcus aureus; STAT1 Transcription Factor; STAT3 Transcription Factor; Streptomyces coelicolor; Stress, Psychological; Stroke; Stroke Volume; Structure-Activity Relationship; Students, Medical; Students, Pharmacy; Substance Abuse Treatment Centers; Sulfur Dioxide; Surface Properties; Surface-Active Agents; Surveys and Questionnaires; Survival Analysis; Survival Rate; Survivin; Sweden; Swine; Swine, Miniature; Sympathetic Nervous System; T-Lymphocytes, Regulatory; Talaromyces; Tandem Mass Spectrometry; tau Proteins; Telemedicine; Telomerase; Telomere; Telomere Homeostasis; Temperature; Terminally Ill; Th1 Cells; Thiamethoxam; Thiazoles; Thiophenes; Thioredoxin Reductase 1; Thrombosis; Thulium; Thyroid Cancer, Papillary; Thyroid Carcinoma, Anaplastic; Thyroid Neoplasms; Time Factors; Titanium; Tomography, Emission-Computed, Single-Photon; Tomography, X-Ray Computed; TOR Serine-Threonine Kinases; Transcription Factor AP-1; Transcription Factors; Transcription, Genetic; Transcriptional Activation; Transcriptome; Transforming Growth Factor beta1; Transistors, Electronic; Translational Research, Biomedical; Transplantation Tolerance; Transplantation, Homologous; Transportation; Treatment Outcome; Tretinoin; Tuberculosis, Multidrug-Resistant; Tuberculosis, Pulmonary; Tubulin Modulators; Tumor Microenvironment; Tumor Necrosis Factor Inhibitors; Tumor Necrosis Factor-alpha; Twins; Ultrasonic Therapy; Ultrasonography; Ultraviolet Rays; United States; Up-Regulation; Uranium; Urethra; Urinary Bladder; Urodynamics; Uromodulin; Uveitis; Vasoconstrictor Agents; Ventricular Function, Left; Vero Cells; Vesicular Transport Proteins; Viral Nonstructural Proteins; Visual Acuity; Vital Capacity; Vitamin D; Vitamin D Deficiency; Vitamin K 2; Vitamins; Volatilization; Voriconazole; Waiting Lists; Waste Disposal, Fluid; Wastewater; Water Pollutants, Chemical; Whole Genome Sequencing; Wine; Wnt Signaling Pathway; Wound Healing; Wounds and Injuries; WW Domains; X-linked Nuclear Protein; X-Ray Diffraction; Xanthines; Xenograft Model Antitumor Assays; YAP-Signaling Proteins; Yogurt; Young Adult; Zebrafish; Zebrafish Proteins; Ziziphus

Middle East Respiratory Syndrome (MERS) is a novel respiratory illness firstly reported in Saudi Arabia in 2012. It is caused by a new corona virus, called MERS corona virus (MERS-CoV). Most people who have MERS-CoV infection developed severe acute respiratory illness.. This work is done to determine the clinical characteristics and the outcome of intensive care unit (ICU) admitted patients with confirmed MERS-CoV infection.. This study included 32 laboratory confirmed MERS corona virus infected patients who were admitted into ICU. It included 20 (62.50%) males and 12 (37.50%) females. The mean age was 43.99 ± 13.03 years. Diagnosis was done by real-time reverse transcription polymerase chain reaction (rRT-PCR) test for corona virus on throat swab, sputum, tracheal aspirate, or bronchoalveolar lavage specimens. Clinical characteristics, co-morbidities and outcome were reported for all subjects.. Most MERS corona patients present with fever, cough, dyspnea, sore throat, runny nose and sputum. The presence of abdominal symptoms may indicate bad prognosis. Prolonged duration of symptoms before patients' hospitalization, prolonged duration of mechanical ventilation and hospital stay, bilateral radiological pulmonary infiltrates, and hypoxemic respiratory failure were found to be strong predictors of mortality in such patients. Also, old age, current smoking, smoking severity, presence of associated co-morbidities like obesity, diabetes mellitus, chronic heart diseases, COPD, malignancy, renal failure, renal transplantation and liver cirrhosis are associated with a poor outcome of ICU admitted MERS corona virus infected patients.. Plasma HO-1, ferritin, p21, and NQO1 were all elevated at baseline in CKD participants. Plasma HO-1 and urine NQO1 levels each inversely correlated with eGFR (. SnPP can be safely administered and, after its injection, the resulting changes in plasma HO-1, NQO1, ferritin, and p21 concentrations can provide information as to antioxidant gene responsiveness/reserves in subjects with and without kidney disease.. A Study with RBT-1, in Healthy Volunteers and Subjects with Stage 3-4 Chronic Kidney Disease, NCT0363002 and NCT03893799.. HFNC did not significantly modify work of breathing in healthy subjects. However, a significant reduction in the minute volume was achieved, capillary [Formula: see text] remaining constant, which suggests a reduction in dead-space ventilation with flows > 20 L/min. (ClinicalTrials.gov registration NCT02495675).. 3 组患者手术时间、术中显性失血量及术后 1 周血红蛋白下降量比较差异均无统计学意义（. 对于肥胖和超重的膝关节单间室骨关节炎患者，采用 UKA 术后可获满意短中期疗效，远期疗效尚需进一步随访观察。.. Decreased muscle strength was identified at both time points in patients with hEDS/HSD. The evolution of most muscle strength parameters over time did not significantly differ between groups. Future studies should focus on the effectiveness of different types of muscle training strategies in hEDS/HSD patients.. These findings support previous adverse findings of e-cigarette exposure on neurodevelopment in a mouse model and provide substantial evidence of persistent adverse behavioral and neuroimmunological consequences to adult offspring following maternal e-cigarette exposure during pregnancy. https://doi.org/10.1289/EHP6067.. This RCT directly compares a neoadjuvant chemotherapy regimen with a standard CROSS regimen in terms of overall survival for patients with locally advanced ESCC. The results of this RCT will provide an answer for the controversy regarding the survival benefits between the two treatment strategies.. NCT04138212, date of registration: October 24, 2019.. Results of current investigation indicated that milk type and post fermentation cooling patterns had a pronounced effect on antioxidant characteristics, fatty acid profile, lipid oxidation and textural characteristics of yoghurt. Buffalo milk based yoghurt had more fat, protein, higher antioxidant capacity and vitamin content. Antioxidant and sensory characteristics of T. If milk is exposed to excessive amounts of light, Vitamins B. The two concentration of ZnO nanoparticles in the ambient air produced two different outcomes. The lower concentration resulted in significant increases in Zn content of the liver while the higher concentration significantly increased Zn in the lungs (p < 0.05). Additionally, at the lower concentration, Zn content was found to be lower in brain tissue (p < 0.05). Using TEM/EDX we detected ZnO nanoparticles inside the cells in the lungs, kidney and liver. Inhaling ZnO NP at the higher concentration increased the levels of mRNA of the following genes in the lungs: Mt2 (2.56 fold), Slc30a1 (1.52 fold) and Slc30a5 (2.34 fold). At the lower ZnO nanoparticle concentration, only Slc30a7 mRNA levels in the lungs were up (1.74 fold). Thus the two air concentrations of ZnO nanoparticles produced distinct effects on the expression of the Zn-homeostasis related genes.. Until adverse health effects of ZnO nanoparticles deposited in organs such as lungs are further investigated and/or ruled out, the exposure to ZnO nanoparticles in aerosols should be avoided or minimised.

Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor Proteins, Signal Transducing; Adenine; Adenocarcinoma; Adipogenesis; Administration, Cutaneous; Administration, Ophthalmic; Adolescent; Adsorption; Adult; Aeromonas hydrophila; Aerosols; Aged; Aged, 80 and over; Aging; Agriculture; Air Pollutants; Air Pollution; Airway Remodeling; Alanine Transaminase; Albuminuria; Aldehyde Dehydrogenase 1 Family; Algorithms; AlkB Homolog 2, Alpha-Ketoglutarate-Dependent Dioxygenase; Alzheimer Disease; Amino Acid Sequence; Ammonia; Ammonium Compounds; Anaerobiosis; Anesthetics, Dissociative; Anesthetics, Inhalation; Animals; Anti-Bacterial Agents; Anti-HIV Agents; Anti-Infective Agents; Anti-Inflammatory Agents; Antibiotics, Antineoplastic; Antibodies, Antineutrophil Cytoplasmic; Antibodies, Monoclonal, Humanized; Antifungal Agents; Antigens, Bacterial; Antigens, CD; Antigens, Differentiation, Myelomonocytic; Antimetabolites, Antineoplastic; Antineoplastic Agents; Antineoplastic Combined Chemotherapy Protocols; Antioxidants; Antitubercular Agents; Antiviral Agents; Apolipoproteins E; Apoptosis; Arabidopsis; Arabidopsis Proteins; Arsenic; Arthritis, Rheumatoid; Asthma; Atherosclerosis; ATP-Dependent Proteases; Attitude of Health Personnel; Australia; Austria; Autophagy; Axitinib; Bacteria; Bacterial Outer Membrane Proteins; Bacterial Proteins; Bacterial Toxins; Bacterial Typing Techniques; Bariatric Surgery; Base Composition; Bayes Theorem; Benzoxazoles; Benzylamines; beta Catenin; Betacoronavirus; Betula; Binding Sites; Biological Availability; Biological Oxygen Demand Analysis; Biomarkers; Biomarkers, Tumor; Biopsy; Bioreactors; Biosensing Techniques; Birth Weight; Blindness; Blood Chemical Analysis; Blood Gas Analysis; Blood Glucose; Blood Pressure; Blood Pressure Monitoring, Ambulatory; Blood-Brain Barrier; Blotting, Western; Body Mass Index; Body Weight; Bone and Bones; Bone Density; Bone Resorption; Borates; Brain; Brain Infarction; Brain Injuries, Traumatic; Brain Neoplasms; Breakfast; Breast Milk Expression; Breast Neoplasms; Bronchi; Bronchoalveolar Lavage Fluid; Buffaloes; Cadherins; Calcification, Physiologic; Calcium Compounds; Calcium, Dietary; Cannula; Caprolactam; Carbon; Carbon Dioxide; Carboplatin; Carcinogenesis; Carcinoma, Ductal; Carcinoma, Ehrlich Tumor; Carcinoma, Hepatocellular; Carcinoma, Non-Small-Cell Lung; Carcinoma, Pancreatic Ductal; Carcinoma, Renal Cell; Cardiovascular Diseases; Carps; Carrageenan; Case-Control Studies; Catalysis; Catalytic Domain; Cattle; CD8-Positive T-Lymphocytes; Cell Adhesion; Cell Cycle Proteins; Cell Death; Cell Differentiation; Cell Line; Cell Line, Tumor; Cell Movement; Cell Nucleus; Cell Phone Use; Cell Proliferation; Cell Survival; Cell Transformation, Neoplastic; Cell Transformation, Viral; Cells, Cultured; Cellulose; Chemical Phenomena; Chemoradiotherapy; Child; Child Development; Child, Preschool; China; Chitosan; Chlorocebus aethiops; Cholecalciferol; Chromatography, Liquid; Circadian Clocks; 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To examine the associations between long-term exposure to five major air pollutants including SO

Topics: Air Pollutants; Air Pollution; Cohort Studies; Diabetes Mellitus; Environmental Exposure; Humans; Male; Nitrogen Dioxide; Particulate Matter; Sulfur Dioxide

Limited evidence suggests the association of air pollutants with a series of diabetic cascades including inflammatory pathways, glucose homeostasis disorder, and prediabetes and diabetes. Subclinical strategies for preventing such pollutants-induced effects remain unknown.. We conducted a cross-sectional study in two typically air-polluted Chinese cities in 2018-2020. One-year average PM. Long-term air pollutants exposure was associated with the risk of prediabetes [Prevalence ratio for O. Our study provides comprehensive insights into air pollutant-associated diabetic cascade and suggests subclinical preventive strategies.

Topics: Air Pollutants; Air Pollution; C-Reactive Protein; China; Complement C3; Cross-Sectional Studies; Diabetes Mellitus; Environmental Exposure; Glucose; Homeostasis; Humans; Insulins; Nitrogen Dioxide; Particulate Matter; Prediabetic State

Studies on the modifying effects of dietary factors on the association between air pollution and diabetes-related outcomes are limited. We examined whether dietary nutrients could modify the association between long-term air pollution exposure and the development of diabetes.. We used data from the Cardiovascular Disease Association Study, which enrolled adults aged 40-69 years in Korea between 2005 and 2011 and followed them up until 2016 (n = 14,667). Annual concentrations of fine particulate matter (PM. PM. Adequate intake of dietary nutrients, such as retinol, vitamin A, and cholesterol, from various food items in a balanced diet may prevent the occurrence of diabetes in a setting wherein reduction of air pollution levels cannot be achieved in a short time frame.

Topics: Adult; Air Pollutants; Air Pollution; Diabetes Mellitus; Diet; Environmental Exposure; Humans; Independent Living; Nitrogen Dioxide; Nutrients; Particulate Matter; Vitamin A

Topics: Air Pollutants; Air Pollution; Diabetes Mellitus; Environmental Exposure; Humans; Hypertension; Life Style; Nitrogen Dioxide; Particulate Matter; Prevalence

The association between air pollution and mental disorders has been widely documented in the general population. However, the evidence among susceptible populations, such as individuals with prediabetes or diabetes, is still insufficient.. We analyzed data from 48,515 participants with prediabetes and 24,393 participants with diabetes from the UK Biobank. Annual pollution data were collected for fine particulate matter (PM. We observed causal links between air pollutants and mental disorders among both prediabetic and diabetic participants, with stronger effects among those with diabetes than prediabetes. The hazard ratios were 1.18 (1.12, 1.24), 1.15 (1.10, 1.20), 1.18 (1.13, 1.23), and 1.15 (1.11, 1.19) in patients with prediabetes, and 1.21 (1.13, 1.29), 1.17 (1.11, 1.24), 1.19 (1.13, 1.25), and 1.17 (1.12, 1.23) in patients with diabetes per interquartile range elevation in PM. Our study indicates the potential causal links between long-term exposure to air pollution and incident mental disorders among those with prediabetes and diabetes. Reducing air pollution levels would significantly benefit this vulnerable population by reducing the incidence of mental disorders.

Topics: Air Pollutants; Air Pollution; Diabetes Mellitus; Environmental Exposure; Humans; Mental Disorders; Nitrogen Dioxide; Particulate Matter; Prediabetic State; Prospective Studies

Air pollution exposure have been shown to adversely impact health through a number of biological pathways, and is also associated with glucose metabolism. There are few studies that evaluated the associations between air pollution and fasting blood sugar and HbA1C levels. But no such study occurred in Indian population. Hence to address this knowledge gap, we investigated the associations between air borne fine particulate matter (PM10, PM2.5), nitrogen di-oxide and glucose metabolism in a tertiary care center in north western rajasthan.. We performed cross-sectional analysis in 3457 participants between 30 to 70 years of age group from five different urban and rural areas of Bikaner district. Air pollution concentration of multiple air pollutants (PM10, PM2.5andNitogen dioxide) were estimated by ambient air quality standard method by respiratory dust sampler. Diabetes was defined based on self reported diagnosis, medication prescription, oral glucose tolerance test and HbA1C. We adjusted for potential confounders including socio-economic status, smoking habits, alcohol consumtion, physical activity and Body Mass Index (BMI) by using logistic regression method.. After adjustment for potential confounders, air pollutants PM10, NO2, except PM2.5 were associated with diabetes prevalence. The prevalence of diabetes was 8.93% and the mean HbA1C was 8.67±1.16, where as the concentration of PM10 was 156.12 mcg/m3, NO2 was 5.43 mcg/m3 and PM2.5 was 25.36 mcg/m3. The prevalence of IFG, IGT and diabetes increases with increased concentration of air pollutants. By applying Pearson's co-relation for air pollutants the 'r' value of PM10was 0.163, p value < 0.001, for PM2.5 'r' value was 0.001 and p value 0.965, for NO2 'r' value was 0.149 and p value was 0.001 respectively. By applying step wise logistic regression analysis, air pollutants PM10 (Odd Ratio 0.002, 95% CI 0.002;0.003) and by adding duration of exposure to air pollutants (Odd ratio 0.003,95%CI 0.001,0.005) by adding PM2.5 air pollutant (odd ratio 0.028,95%CI -0.042,-0.015) and by adding NO2 (odd ratio 0.140,95% CI 0.104,0.175).. long term air pollution exposure was associated with impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and prevalence of diabetes mellitus (DM). This study can be used as a good evidence that air pollution is an important and manageable risk factor for diabetes hence awareness about air pollution in the society and at government level is much needed.

Topics: Air Pollutants; Air Pollution; Cross-Sectional Studies; Diabetes Mellitus; Environmental Exposure; Fasting; Glucose; Glucose Intolerance; Glycated Hemoglobin; Humans; India; Nitrogen Dioxide; Particulate Matter; Prevalence

Evidence remains limited and inconsistent for the associations between sustained air pollution exposures and diabetes development. This study aimed to determine the potential effects of particulate matter with a diameter of ≤10 micrometres (PM10), particulate matter with a diameter of ≤2.5 micrometres (PM2.5) and nitrogen dioxide (NO2) on alterations of fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), in particular, on prevalence and incidence of diabetes.. Cross-sectional analyses were conducted based on 9628 participants aged ≥45 years from the baseline survey (2011) of the China Health and Retirement Longitudinal Study (CHARLS), whereas cohort analyses were based on 3510 individuals without diabetes at baseline in the third survey (2015). Residences of participants were geocoded and the air pollution exposures were estimated using a satellite-based spatiotemporal model. Linear, logistic and modified Poisson regression models, adjusting for multiple confounders, were applied to assess the associations between air pollution and FPG, HbA1c, prevalence and incidence of diabetes, respectively.. Associations between PM10, PM2.5 and increased levels of FPG and HbA1c were identified. The levels of FPG and HbA1c increased by 0.025 mmol/L (95% CI: 0.007, 0.044) and 0.011 mmol/L (95% CI: 0.002, 0.019), respectively, for a 10-μg/m3 increase in PM10, and the levels of FPG and HbA1c increased by 0.061 mmol/L (95% CI: 0.028, 0.096) and 0.016 mmol/L (95% CI: 0.000, 0.031), respectively, for a 10-μg/m3 increase in PM2.5. There were also positive associations between diabetes prevalence and PM2.5 and PM10. In the cohort analyses, PM10, PM2.5 and NO2 were associated with a higher incidence of diabetes.. Air pollution was allied to diabetes development in elderly Chinese populations. Considering the impact of the dramatic increase in the incidence and prevalence of diabetes in China, interventions to improve air quality are urgently needed.

Topics: Aged; Air Pollutants; Air Pollution; Blood Glucose; China; Cross-Sectional Studies; Diabetes Mellitus; Environmental Exposure; Fasting; Glycated Hemoglobin; Humans; Incidence; Longitudinal Studies; Nitrogen Dioxide; Particulate Matter; Prevalence

It remains unknown whether higher dietary intake of antioxidant vitamins could reduce the harmful effects of air pollution on incident diabetes mellitus.. A total of 156,490 participants free of diabetes mellitus in the UK Biobank data were included in this analysis. Antioxidant vitamin intake was measured using a 24-h food intake questionnaire, and results were categorized as sufficient or insufficient according to the British Recommended Nutrient Intake. Exposure to fine particles (PM. A total of 4271 incident diabetes mellitus cases were identified during a median follow-up of 11.7 years. Compared with participants with insufficient intake of antioxidant vitamins, those with sufficient consumption had a weaker association between air pollution (PM. Our study suggests that ambient air pollution is one important risk factor of diabetes mellitus, and sufficient intake of antioxidant vitamins may reduce such adverse effects of air pollution on diabetes mellitus.

Topics: Air Pollutants; Air Pollution; Antioxidants; Cohort Studies; Diabetes Mellitus; Eating; Environmental Exposure; Humans; Nitrogen Dioxide; Particulate Matter; Vitamin A; Vitamin K; Vitamins

Growing evidence implicates ambient air pollutants in the development of major chronic diseases and premature mortality. However, epidemiologic evidence linking air pollution to diabetes remains inconclusive. This study sought to determine the relationships between selected air pollutants (nitrogen dioxide [NO. We followed two cohorts, which included 4.8 million Ontario adults free of diabetes and 452,590 Ontario adults with prevalent diabetes, from 2001 to 2015. Area-level air pollution exposures were assigned to subjects' residential areas, and outcomes were ascertained using health administrative data with validated algorithms. We estimated hazard ratios for the association between each air pollutant and outcome using Cox proportional hazards models, and modelled the shape of the concentration-response relationships.. Over the study period, 790,461 individuals were diagnosed with diabetes. Among those with prevalent diabetes, 26,653 died from diabetes and 64,773 died from cardiovascular diseases. For incident diabetes, each IQR increase in NO. Selected air pollutants, especially NO

Topics: Adult; Air Pollutants; Air Pollution; Cardiovascular Diseases; Cohort Studies; Diabetes Mellitus; Environmental Exposure; Humans; Incidence; Nitrogen Dioxide; Ontario; Ozone; Particulate Matter

Residing in greener places may be protective against diabetes mellitus (DM) but evidence is scarce and comes mainly from developed countries.. To investigate associations of residential greenness with DM prevalence and glucose-homeostasis markers in Chinese adults and whether these associations were mediated by air pollution, physical activity, and body mass index.. In 2009, a total of 15,477 adults from the cross-sectional 33 Communities Chinese Health Study provided blood samples and completed a questionnaire. We considered fasting and 2-h glucose and insulin concentrations, as well as the homoeostasis model assessment of insulin resistance and β-cell function, as glucose-homeostasis markers. DM was defined according to the American Diabetes Association's recommendations. Residential greenness was estimated by two satellite-derived vegetation indexes - Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI). Nitrogen dioxide and particulate matter ≤2.5 μm were used as air pollution proxies. Associations were assessed by two-level adjusted logistic and linear regression models.. A 0.1-unit increase in NDVI. Higher residential greenness appears to be associated with a lower prevalence of DM. This association might be due to glucose and insulin metabolism and pancreatic β-cell function. Lower levels of air pollution and body mass index can be pathways linking greenspace to diabetes.

Topics: Adult; Air Pollutants; Blood Glucose; China; Diabetes Mellitus; Female; Homeostasis; Humans; Insulin; Male; Middle Aged; Nitrogen Dioxide; Particulate Matter; Plants; Residence Characteristics; Satellite Imagery

Previous studies reported that long-term exposure to traffic-related air pollution may increase the incidence of hypertension and diabetes. However, little is known about the associations of ultrafine particles (≤0.1 μm in diameter) with these two conditions.. We conducted a population-based cohort study to investigate the associations between exposures to ultrafine particles and nitrogen dioxide (NO2) and the incidence of diabetes and hypertension. Our study population included all Canadian-born residents aged 30 to 100 years who lived in the City of Toronto, Canada, from 1996 to 2012. Outcomes were ascertained using validated province-wide databases. We estimated annual concentrations of ultrafine particles and NO2 using land-use regression models and assigned these estimates to participants' annual postal code addresses during the follow-up period. Using random-effects Cox proportional hazards models, we calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for ultrafine particles and NO2, adjusted for individual- and neighborhood-level covariates. We considered both single- and multipollutant models.. Each interquartile change in exposure to ultrafine particles was associated with increased risk of incident hypertension (HR = 1.03; 95% CI = 1.02, 1.04) and diabetes (HR = 1.06; 95% CI = 1.05, 1.08) after adjusting for all covariates. These results remained unaltered with further control for fine particulate matter (≤2.5 μm; PM2.5) and NO2. Similarly, NO2 was positively associated with incident diabetes (HR = 1.06; 95% CI = 1.05, 1.07) after controlling for ultrafine particles and PM2.5.. Exposure to traffic-related air pollution including ultrafine particles and NO2 may increase the risk for incident hypertension and diabetes. See video abstract at, http://links.lww.com/EDE/B337.

Topics: Adult; Aged; Aged, 80 and over; Air Pollution; Canada; Cohort Studies; Diabetes Mellitus; Environmental Exposure; Female; Humans; Hypertension; Inhalation Exposure; Male; Middle Aged; Nitrogen Dioxide; Particle Size; Particulate Matter

Epidemiological studies have inconsistently linked transportation noise and air pollution (AP) with diabetes risk. Most studies have considered single noise sources and/or AP, but none has investigated their mutually independent contributions to diabetes risk.. We investigated 2631 participants of the Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA), without diabetes in 2002 and without change of residence between 2002 and 2011. Using questionnaire and biomarker data, incident diabetes cases were identified in 2011. Noise and AP exposures in 2001 were assigned to participants' residences (annual average road, railway or aircraft noise level during day-evening-night (Lden), total night number of noise events, intermittency ratio (temporal variation as proportion of event-based noise level over total noise level) and nitrogen dioxide (NO2) levels. We applied mixed Poisson regression to estimate the relative risk (RR) of diabetes and their 95% confidence intervals (CI) in mutually-adjusted models.. Diabetes incidence was 4.2%. Median [interquartile range (IQR)] road, railway, aircraft noise and NO2 were 54 (10) dB, 32 (11) dB, 30 (12) dB and 21 (15) μg/m3, respectively. Lden road and aircraft were associated with incident diabetes (respective RR: 1.35; 95% CI: 1.02-1.78 and 1.86; 95% CI: 0.96-3.59 per IQR) independently of Lden railway and NO2 (which were not associated with diabetes risk) in mutually adjusted models. We observed stronger effects of Lden road among participants reporting poor sleep quality or sleeping with open windows.. Transportation noise may be more relevant than AP in the development of diabetes, potentially acting through noise-induced sleep disturbances.

Topics: Adult; Aged; Air Pollution; Cohort Studies; Diabetes Mellitus; Environmental Exposure; Female; Humans; Incidence; Male; Middle Aged; Nitrogen Dioxide; Noise, Transportation; Risk; Sleep Wake Disorders; Surveys and Questionnaires; Switzerland

The evidence from observational epidemiological studies of a link between long-term air pollution exposure and diabetes prevalence and incidence is currently mixed. Some studies found the strongest associations of diabetes with fine particles, other studies with nitrogen dioxide and some studies found no associations.. Our aim was to investigate associations between long-term exposure to multiple air pollutants and diabetes prevalence in a large national survey in the Netherlands.. We performed a cross-sectional analysis using the 2012 Dutch national health survey to investigate the associations between the 2009 annual average concentrations of multiple air pollutants (PM. After adjustment for potential confounders, all pollutants (except PM. Long-term residential air pollution exposure was associated with diabetes prevalence in a large health survey in the Netherlands, strengthening the evidence of air pollution being an important diabetes risk factor. Most consistent associations were observed for NO

Topics: Adult; Aged; Air Pollutants; Cross-Sectional Studies; Diabetes Mellitus; Environmental Exposure; Female; Health Surveys; Humans; Incidence; Life Style; Male; Middle Aged; Netherlands; Nitrogen Dioxide; Oxidation-Reduction; Particulate Matter; Prevalence; Risk Factors; Social Class; Young Adult

In recent years, Panama has experienced a marked economic growth, and this, in turn, has been associated with rapid urban development and degradation of air quality. This study is the first evaluation done in Panama on the association between air pollution and mortality. Our objective was to assess the possible association between monthly levels of PM10, O3, and NO2, and cardiovascular, respiratory, and diabetes mortality, as well as the seasonal variation of mortality in Panama City, Panama.The study was conducted in Panama City, using air pollution data from January 2003 to December 2013. We utilized a Poisson regression model based on generalized linear models, to evaluate the association between PM10, NO2, and O3 exposure and mortality from diabetes, cardiovascular, and respiratory diseases. The sample size for PM10, NO2, and O2 was 132, 132, and 108 monthly averages, respectively.We found that levels of PM10, O3, and NO2 were associated with increases in cardiovascular, respiratory, and diabetes mortality. For PM10 levels ≥ 40 μg/m3, we found an increase in cardiovascular mortality of 9.7% (CI 5.8-13.6%), and an increase of 12.6% (CI 0.2-24.2%) in respiratory mortality. For O3 levels ≥ 20 μg/m3 we found an increase of 32.4% (IC 14.6-52.9) in respiratory mortality, after a 2-month lag period following exposure in the 65 to <74 year-old age group. For NO2 levels ≥20 μg/m3 we found an increase in respiratory mortality of 11.2% (IC 1.9-21.3), after a 2-month lag period following exposure among those aged between 65 and <74 years.There could be an association between the air pollution in Panama City and an increase in cardiovascular, respiratory, and diabetes mortality. This study confirms the urgent need to improve the measurement frequency of air pollutants in Panama.

Topics: Adult; Aged; Air Pollutants; Cardiovascular Diseases; Confidence Intervals; Databases, Factual; Diabetes Mellitus; Environmental Exposure; Environmental Monitoring; Female; Humans; Incidence; Male; Maximum Allowable Concentration; Middle Aged; Nitrogen Dioxide; Odds Ratio; Ozone; Panama; Particulate Matter; Respiratory Tract Diseases; Retrospective Studies; Risk Assessment; Sulfur Dioxide; Survival Analysis

Both cold and hot temperatures are associated with adverse health outcomes. Less is known about the role of pre-existing medical conditions to confer individual's susceptibility to temperature extremes.. We studied 66,820 subjects aged ≥65 who were enrolled and interviewed in all the 18 Elderly Health Centers of Department of Health, Hong Kong from 1998 to 2001, and followed up for 10-13 years. The distributed lag nonlinear model (DLNM) combined with a nested case-control study design was applied to estimate the nonlinear and delayed effects of cold or hot temperature on all natural mortality among subjects with different pre-existing diseases.. The relative risk of all natural mortality associated with a decrease of temperature from 25th percentile (19.5°C) to 1st percentile (11.3°C) over 0-21 lag days for participants who reported to have an active disease at the baseline was 2.21 (95% confidence interval (CI): 1.19, 4.10) for diabetes mellitus (DM), 1.59 (1.12, 2.26) for circulatory system diseases (CSD), and 1.23 (0.53, 2.84) for chronic obstructive pulmonary disease (COPD), whereas 1.04 (0.59, 1.85) for non-disease group (NDG). Compared with NDG, elders with COPD had excess risk of mortality associated with thermal stress attributable to hot temperature, while elders with DM and CSD were vulnerable to both hot and cold temperatures.. Elders with pre-existing health conditions were more vulnerable to excess mortality risk to hot and/or cold temperature. Preventative measures should target on elders with chronic health problems.

Topics: Aged; Air Pollutants; Asian People; Cardiovascular Diseases; Comorbidity; Diabetes Mellitus; Environmental Monitoring; Female; Hong Kong; Humans; Male; Mortality; Nitrogen Dioxide; Ozone; Particulate Matter; Prospective Studies; Pulmonary Disease, Chronic Obstructive; Temperature

Prenatal exposure to ambient air pollution has been associated with adverse birth outcomes, but the potential modifying effect of maternal comorbidities remains understudied. Our objective was to investigate whether associations between prenatal air pollution exposures and birth outcomes differ by maternal comorbidities.. A total of 818,400 singleton live births were identified in the province of Ontario, Canada from 2005 to 2012. We assigned exposures to fine particulate matter (PM2.5), nitrogen dioxide (NO2) and ozone (O3) to maternal residences during pregnancy. We evaluated potential effect modification by maternal comorbidities (i.e. asthma, hypertension, pre-existing diabetes mellitus, heart disease, gestational diabetes and preeclampsia) on the associations between prenatal air pollution and preterm birth, term low birth weight and small for gestational age.. Interquartile range (IQR) increases in PM2.5 (2μg/m(3)), NO2 (9ppb) and O3 (5ppb) over the entire pregnancy were associated with a 4% (95% CI: 2.4-5.6%), 8.4% (95% CI: 5.5-10.3%) and 2% (95% CI: 0.5-4.1%) increase in the odds of preterm birth, respectively. Increases of 10.6% (95% CI: 0.2-2.1%) and 23.8% (95% CI: 5.5-44.8%) in the odds of preterm birth were observed among women with pre-existing diabetes while the increases were of 3.8% (95% CI: 2.2-5.4%) and 6.5% (95% CI: 3.7-8.4%) among women without this condition for pregnancy exposure to PM2.5 and NO2, respectively (Pint<0.01). The increase in the odds of preterm birth for exposure to PM2.5 during pregnancy was higher among women with preeclampsia (8.3%, 95% CI: 0.8-16.4%) than among women without (3.6%, 95% CI: 1.8-5.3%) (Pint=0.04). A stronger increase in the odds of preterm birth was found for exposure to O3 during pregnancy among asthmatic women (12.0%, 95% CI: 3.5-21.1%) compared to non-asthmatic women (2.0%, 95% CI: 0.1-3.5%) (Pint<0.01). We did not find statistically significant effect modification for the other outcomes investigated.. Findings of this study suggest that associations of ambient air pollution with preterm birth are stronger among women with pre-existing diabetes, asthma, and preeclampsia.

Topics: Adult; Air Pollutants; Air Pollution; Asthma; Comorbidity; Diabetes Mellitus; Female; Heart Diseases; Humans; Hypertension; Infant, Newborn; Male; Maternal Exposure; Nitrogen Dioxide; Ontario; Ozone; Particulate Matter; Pre-Eclampsia; Pregnancy; Premature Birth; Young Adult

Road traffic noise has well-documented effects on cardiovascular, respiratory, and metabolic health. Numerous studies have reported long-term associations of urban noise with some diseases and outcomes, including death. However, to date there are no studies on the short-term association between this pollutant and a set of various specific causes of death.. To investigate the short-term association of road traffic noise with daily cause-specific mortality.. We used a time-stratified case-crossover design with Poisson regression. Predictor variables were daytime, nighttime, and 24-h equivalent noise levels, and maximum daytime and nighttime noise levels. Outcome variables were daily death counts for various specific causes, stratifying by age. We adjusted for primary air pollutants (PM2.5 and NO2) and weather conditions (mean temperature and relative humidity).. In the ≥65 age group, increased mortality rates per 1 dBA increase in maximum nocturnal noise levels at lag 0 or 1 day were 2.9% (95% CI 1.0, 4.8%), 3.5% (95% CI 1.1, 6.1%), 2.4% (95% CI 0.1, 4.8%), 3.0% (95% CI 0.2, 5.8%), and 4.0% (95% CI 1.0, 7.0%), for ischemic heart disease, myocardial infarction, cerebrovascular disease, pneumonia, and COPD, respectively. For diabetes, 1 dBA increase in equivalent nocturnal noise levels at lag 1 was associated with an increased mortality rate of 11% (95% CI 4.0, 19%). In the <65 age group, increased mortality rates per 1 dBA increase in equivalent nocturnal noise levels at lag 0 were 11% (95% CI 4.2, 18%) and 11% (95% CI 4.2, 19%) for ischemic heart disease and myocardial infarction, respectively.. Road traffic noise increases the short-term risk of death from specific diseases of the cardiovascular, respiratory, and metabolic systems.

Topics: Aged; Air Pollutants; Cardiovascular Diseases; Cities; Diabetes Mellitus; Humans; Humidity; Motor Vehicles; Nitrogen Dioxide; Noise; Particulate Matter; Respiratory Tract Diseases; Spain; Temperature

With the generalized linear model and natural splines (ns), we examined the association between outdoor air pollutants and daily morbidity for diabetes and liver disease stratified by sexes and ages based on 4 years of daily data (2008-2011) in Tianjin, China. Season effects of air pollutants including particulate matter (PM), sulfur dioxide (SO2), and nitrogen dioxide (NO2) were also investigated. An increase of 10 μg/m(3) in a 2-day average concentrations of particulate matter with diameters of 10 μm or less (PM10), SO2, and NO2 corresponds to increases in diabetes morbidity of 0.39 % (95 % confidence interval (CI), -0.42-1.12), 0.15 % (95 % CI, -0.25-0.54), and 1.22 % (95 % CI, 0.51-2.96), respectively. As for liver morbidity, the increases were -0.84 % (95 % CI, -2.33-0.62), 0.90 % (95 % CI, 0.50-1.74), and 1.10 % (95 % CI, -2.58-4.78), respectively. The effects were stronger in the cool season than those in the warm season; females and the elderly were generally more vulnerable to outdoor air pollution. This study possesses scientific implications and instructional significance for local environmental standards and medical policymaking.

Topics: Adolescent; Adult; Age Distribution; Aged; Air Pollutants; Air Pollution; Child; Child, Preschool; China; Diabetes Mellitus; Female; Humans; Infant; Infant, Newborn; Liver Diseases; Male; Middle Aged; Morbidity; Nitrogen Dioxide; Particulate Matter; Risk Assessment; Seasons; Sex Distribution; Sulfur Dioxide; Young Adult

Air pollution is an important risk factor for global burden of disease. There has been recent interest in its possible role in the etiology of diabetes mellitus. Experimental evidence is suggestive, but epidemiological evidence is limited and mixed. We therefore explored the association between air pollution and prevalent diabetes, in a population-based Swiss cohort. We did cross-sectional analyses of 6392 participants of the Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults [SAPALDIA], aged between 29 and 73 years. We used estimates of average individual home outdoor PM10 [particulate matter <10μm in diameter] and NO2 [nitrogen dioxide] exposure over the 10 years preceding the survey. Their association with diabetes was modeled using mixed logistic regression models, including participants' study area as random effect, with incremental adjustment for confounders. There were 315 cases of diabetes (prevalence: 5.5% [95% confidence interval (CI): 2.8, 7.2%]). Both PM10 and NO2 were associated with prevalent diabetes with respective odds ratios of 1.40 [95% CI: 1.17, 1.67] and 1.19 [95% CI: 1.03, 1.38] per 10μg/m(3) increase in the average home outdoor level. Associations with PM10 were generally stronger than with NO2, even in the two-pollutant model. There was some indication that beta blockers mitigated the effect of PM10. The associations remained stable across different sensitivity analyses. Our study adds to the evidence that long term air pollution exposure is associated with diabetes mellitus. PM10 appears to be a useful marker of aspects of air pollution relevant for diabetes. This association can be observed at concentrations below air quality guidelines.

Topics: Adult; Aged; Air Pollutants; Air Pollution; Blood Glucose; Cohort Studies; Cross-Sectional Studies; Diabetes Mellitus; Female; Glycated Hemoglobin; Humans; Inhalation Exposure; Male; Middle Aged; Models, Theoretical; Nitrogen Dioxide; Particulate Matter; Risk Factors; Switzerland; Young Adult

The aim of this study was to investigate whether air pollution from traffic at a residence is associated with mortality related to type 1 or type 2 diabetes.. We followed up 52,061 participants in the Danish Diet, Cancer and Health cohort for diabetes-related mortality in the nationwide Register of Causes of Death, from baseline in 1993-1997 up to the end of 2009, and traced their residential addresses since 1971 in the Central Population Registry. We used dispersion-modelled concentration of nitrogen dioxide (NO₂) since 1971 and amount of traffic at the baseline residence as indicators of traffic-related air pollution and used Cox regression models to estimate mortality-rate ratios (MRRs) with adjustment for potential confounders.. Mean levels of NO₂ at the residence since 1971 were significantly associated with mortality from diabetes. Exposure above 19.4 μg/m³ (upper quartile) was associated with a MRR of 2.15 (95% CI 1.21, 3.83) when compared with below 13.6 μg/m³ (lower quartile), corresponding to an MRR of 1.31 (95% CI 0.98, 1.76) per 10 μg/m³ NO₂ after adjustment for potential confounders.. This study suggests that traffic-related air pollution is associated with mortality from diabetes. If confirmed, reduction in population exposure to traffic-related air pollution could be an additional strategy against the global public health burden of diabetes.

Topics: Air Pollutants; Cohort Studies; Confounding Factors, Epidemiologic; Denmark; Diabetes Mellitus; Environmental Exposure; Female; Follow-Up Studies; Humans; Male; Middle Aged; Nitrogen Dioxide; Proportional Hazards Models; Prospective Studies; Registries; Residence Characteristics; Surveys and Questionnaires; Time Factors; Urban Health; Vehicle Emissions

Previous studies have suggested that diabetes mellitus (DM) is an outcome of exposure to air pollution, and metabolic detoxification genes affect air pollution-related outcomes.. We evaluated associations between air pollutants and markers of insulin resistance (IR), an underlying mechanism of type 2 DM, and effect modification by GSTM1, GSTT1, and GSTP1 genotypes among elderly participants in the Korean Elderly Environmental Panel (KEEP) study.. We recruited 560 people ≥ 60 years of age and obtained blood samples from them up to three times between 2008 and 2010. For air pollution exposure, we used ambient air pollutant [i.e., particulate matter ≤ 10 µm in diameter (PM10), sulfur dioxide (SO2), ozone (O3), and nitrogen dioxide (NO2)] monitoring data. We measured levels of fasting glucose and insulin and derived the homeostatic model assessment (HOMA) index to assess IR. Mixed-effect models were used to estimate associations between air pollutants and IR indices on the same day or lagged up to 10 days prior, and effect modification by GSTM1, GSTT1, and GSTP1 genotypes.. Interquartile range increases in PM10, O3, and NO2 were significantly associated with IR indices, depending on the lag period. Associations were stronger among participants with a history of DM and among those with GSTM1-null, GSTT1-null, and GSTP1 AG or GG genotypes.. Our results suggest that PM10, O3, and NO2 may increase IR in the elderly, and that GSTM1-null, GSTT1-null, and GSTP1 AG or GG genotypes may increase susceptibility to potential effects of ambient air pollutants on IR.

Topics: Aged; Aged, 80 and over; Air Pollutants; Biomarkers; Blood Glucose; Diabetes Mellitus; Environmental Exposure; Environmental Monitoring; Fasting; Female; Glutathione S-Transferase pi; Glutathione Transferase; Humans; Insulin; Insulin Resistance; Male; Middle Aged; Multiplex Polymerase Chain Reaction; Nitrogen Dioxide; Ozone; Particulate Matter; Polymorphism, Genetic; Radioimmunoassay; Republic of Korea; Sulfur Dioxide

Short-term exposure to air pollution has been associated with exacerbation of chronic obstructive pulmonary disease (COPD), whereas the role of long-term exposures on the development of COPD is not yet fully understood.. We assessed the effect of exposure to traffic-related air pollution over 35 years on the incidence of COPD in a prospective cohort study.. We followed 57,053 participants in the Danish Diet, Cancer, and Health cohort in the Hospital Discharge Register for their first hospital admission for COPD between 1993 and 2006. We estimated the annual mean levels of nitrogen dioxide (NO₂) and nitrogen oxides (NO(x)) at all residential addresses of the cohort participants since 1971 to an event or 2006 and used indicators of traffic near the residential address at recruitment. We assessed the association between exposure to air pollution and COPD incidence by Cox regression analyses for the full cohort, and for participants with and without comorbid conditions, including asthma, diabetes, or cardiovascular disease.. A first hospital admission for COPD was recorded for 1,786 (3.4%) of 52,799 eligible subjects between recruitment (1993-1997) and 2006. COPD incidence was associated with the 35-year mean NO₂ level (hazard ratio, 1.08; 95% confidence interval, 1.02-1.14, per interquartile range of 5.8 μg/m³), with stronger associations in subjects with diabetes (1.29; 1.05-1.50) and asthma (1.19; 1.03-1.38).. Long-term exposure to traffic-related air pollution may contribute to the development of COPD with possibly enhanced susceptibility in people with diabetes and asthma.

Topics: Air Pollutants; Air Pollution; Asthma; Causality; Cohort Studies; Comorbidity; Denmark; Diabetes Mellitus; Environmental Exposure; Female; Follow-Up Studies; Humans; Incidence; Male; Middle Aged; Nitrogen Dioxide; Nitrogen Oxides; Prospective Studies; Pulmonary Disease, Chronic Obstructive; Risk Factors; Vehicle Emissions

Several studies have shown an association between nitrogen dioxide (NO2) and mortality. In Italy, the EpiAir multicentric study, "Air Pollution and Health: Epidemiological Surveillance and Primary Prevention," investigated short-term health effects of air pollution, including NO2.. To study the individual susceptibility, we evaluated the association between NO2 and cause-specific mortality, investigating individual sociodemographic features and chronic/acute medical conditions as potential effect modifiers.. We considered 276,205 natural deaths of persons > 35 years of age, resident in 10 Italian cities, and deceased between 2001 and 2005. We chose a time-stratified case-crossover analysis to evaluate the short-term effects of NO2 on natural, cardiac, cerebrovascular, and respiratory mortality. For each subject, we collected information on sociodemographic features and hospital admissions in the previous 2 years. Fixed monitors provided daily concentrations of NO2, particulate matter ≤ 10 μm in aerodynamic diameter (PM10) and ozone (O3).. We found statistically significant associations with a 10-μg/m3 increase of NO2 for natural mortality [2.09% for lag 0-5; 95% confidence interval (CI), 0.96-3.24], for cardiac mortality (2.63% for lag 0-5; 95% CI, 1.53-3.75), and for respiratory mortality (3.48% for lag 1-5; 95% CI, 0.75-6.29). These associations were independent from those of PM10 and O3. Stronger associations were estimated for subjects with at least one hospital admission in the 2 previous years and for subjects with three or more specific chronic conditions. Some cardiovascular conditions (i.e., ischemic heart disease, pulmonary circulation impairment, heart conduction disorders, heart failure) and diabetes appeared to confer a strong susceptibility to air pollution.. Our results suggest significant and likely independent effects of NO2 on natural, cardiac, and respiratory mortality, particularly among subjects with specific cardiovascular preexisting chronic conditions and diabetes.

Topics: Adult; Aged; Aged, 80 and over; Air Pollutants; Air Pollution; Cardiovascular Diseases; Cross-Over Studies; Diabetes Mellitus; Environmental Exposure; Female; Hospitalization; Humans; Italy; Male; Middle Aged; Nitrogen Dioxide; Ozone; Particulate Matter; Population Surveillance; Respiratory Tract Diseases; Socioeconomic Factors; Time Factors; Urban Health

Air pollution is associated with an increased risk for cardiovascular events. Many of the biological pathways involved could also promote diabetes mellitus (DM). We therefore investigated the association between DM prevalence and exposure to traffic-related air pollution (nitrogen dioxide [NO 2]).. Study participants were patients who attended two respiratory clinics in Hamilton (n = 5228) and Toronto (n = 2406). The diagnosis of DM was ascertained by linkage to administrative databases of the Ontario universal Health Insurance Plan for patients aged 40 years and above. Geographic Information systems methodology was used to assign individual estimates of NO2 based on a network of samplers in each city. Logistic regression was used to estimate the relations between NO2 exposures and the odds of DM diagnosis.. After adjusting for age, body mass index, and neighborhood income there were positive effects in women on the odds ratio for DM for each 1 ppb NO2 exposure in Toronto (OR 1.055, 95% CI: 0.99 to 1.11) and Hamilton (OR 1.029, 95% CI: 0.98 to 1.08). In a meta-analytic model including both cities, there was a significant effect in women (OR = 1.04; 95% CI: 1.00 to 1.08). Across the inter-quartile range (approximately 4 ppb NO2) there was nearly a 17% increase in the odds of DM for women. There were no positive associations among men.. Exposure to NO2, a marker of traffic-related air pollutants, was associated with DM prevalence among women. Exposure estimate errors in men may explain the apparent gender difference. These results suggest that common air pollutants are associated with DM and warrant more investigation to determine if this is a cause-and-effect relationship.

Topics: Adult; Aged; Air Pollutants; Case-Control Studies; Diabetes Mellitus; Environmental Exposure; Female; Humans; Logistic Models; Male; Middle Aged; Nitrogen Dioxide; Sex Factors; Vehicle Emissions