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iNKT Cell Activation Exacerbates the Development of Huntington's Disease in R6/2 Transgenic Mice.
Park HJ, Lee SW, Im W, Kim M, Van Kaer L, Hong S
(2019) Mediators Inflamm 2019: 3540974
MeSH Terms: Animals, Brain, Cytokines, Disease Models, Animal, Disease Progression, Galactosylceramides, Genotype, Huntington Disease, Leukocytes, Lymphocyte Activation, Mice, Mice, Knockout, Natural Killer T-Cells
Show Abstract · Added March 26, 2019
Huntington's disease (HD) is an inherited neurodegenerative disorder which is caused by a mutation of the huntingtin (HTT) gene. Although the pathogenesis of HD has been associated with inflammatory responses, if and how the immune system contributes to the onset of HD is largely unknown. Invariant natural killer T (iNKT) cells are a group of innate-like regulatory T lymphocytes that can rapidly produce various cytokines such as IFN and IL4 upon stimulation with the glycolipid -galactosylceramide (-GalCer). By employing both R6/2 Tg mice (murine HD model) and J18 KO mice (deficient in iNKT cells), we investigated whether alterations of iNKT cells affect the development of HD in R6/2 Tg mice. We found that J18 KO R6/2 Tg mice showed disease progression comparable to R6/2 Tg mice, indicating that the absence of iNKT cells did not have any significant effects on HD development. However, repeated activation of iNKT cells with -GalCer facilitated HD progression in R6/2 Tg mice, and this was associated with increased infiltration of iNKT cells in the brain. Taken together, our results demonstrate that repeated -GalCer treatment of R6/2 Tg mice accelerates HD progression, suggesting that immune activation can affect the severity of HD pathogenesis.
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13 MeSH Terms
Early urine electrolyte patterns in patients with acute heart failure.
Collins SP, Jenkins CA, Baughman A, Miller KF, Storrow AB, Han JH, Brown NJ, Liu D, Luther JM, McNaughton CD, Self WH, Peng D, Testani JM, Lindenfeld J
(2019) ESC Heart Fail 6: 80-88
MeSH Terms: Acute Disease, Aged, Biomarkers, Disease Progression, Diuretics, Female, Follow-Up Studies, Heart Failure, Humans, Male, Middle Aged, Pilot Projects, Prognosis, Prospective Studies, Sodium, Stroke Volume
Show Abstract · Added October 25, 2018
AIMS - We conducted a prospective study of emergency department (ED) patients with acute heart failure (AHF) to determine if worsening HF (WHF) could be predicted based on urinary electrolytes during the first 1-2 h of ED care. Loop diuretics are standard therapy for AHF patients. A subset of patients hospitalized for AHF will develop a blunted natriuretic response to loop diuretics, termed diuretic resistance, which often leads to WHF. Early detection of diuretic resistance could facilitate escalation of therapy and prevention of WHF.
METHODS AND RESULTS - Patients were eligible if they had an ED AHF diagnosis, had not yet received intravenous diuretics, had a systolic blood pressure > 90 mmHg, and were not on dialysis. Urine electrolytes and urine output were collected at 1, 2, 4, and 6 h after diuretic administration. Worsening HF was defined as clinically persistent or WHF requiring escalation of diuretics or administration of intravenous vasoactives after the ED stay. Of the 61 patients who qualified in this pilot study, there were 10 (16.3%) patients who fulfilled our definition of WHF. At 1 h after diuretic administration, patients who developed WHF were more likely to have low urinary sodium (9.5 vs. 43.0 mmol; P < 0.001) and decreased urine sodium concentration (48 vs. 80 mmol/L; P = 0.004) than patients without WHF. All patients with WHF had a total urine sodium of <35.4 mmol at 1 h (100% sensitivity and 60% specificity).
CONCLUSIONS - One hour after diuretic administration, a urine sodium excretion of <35.4 mmol was highly suggestive of the development of WHF. These relationships require further testing to determine if early intervention with alternative agents can prevent WHF.
© 2018 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.
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16 MeSH Terms
Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes.
Triolo TM, Fouts A, Pyle L, Yu L, Gottlieb PA, Steck AK, Type 1 Diabetes TrialNet Study Group
(2019) Diabetes Care 42: 192-199
MeSH Terms: Adolescent, Adult, Autoantibodies, Autoimmunity, Child, Child, Preschool, Diabetes Mellitus, Type 1, Disease Progression, Diseases in Twins, Environment, Female, Genetic Predisposition to Disease, Glutamate Decarboxylase, Humans, Insulin, Islets of Langerhans, Male, Mass Screening, Risk Factors, Seroepidemiologic Studies, Siblings, Twins, Twins, Dizygotic, Twins, Monozygotic, Young Adult
Show Abstract · Added August 15, 2018
OBJECTIVE - There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings.
RESEARCH DESIGN AND METHODS - Subjects from the TrialNet Pathway to Prevention Study ( = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A], and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years.
RESULTS - At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all < 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody-positive, 13% for single autoantibody-positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody-positive, 12% for single autoantibody-positive, and 0.5% for initially autoantibody-negative subjects.
CONCLUSIONS - Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody-positive identical twins and multiple autoantibody-positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
© 2018 by the American Diabetes Association.
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25 MeSH Terms
A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk.
Redondo MJ, Geyer S, Steck AK, Sharp S, Wentworth JM, Weedon MN, Antinozzi P, Sosenko J, Atkinson M, Pugliese A, Oram RA, Type 1 Diabetes TrialNet Study Group
(2018) Diabetes Care 41: 1887-1894
MeSH Terms: Adolescent, Adult, Autoantibodies, Autoimmunity, Child, Child, Preschool, Diabetes Complications, Diabetes Mellitus, Type 1, Disease Progression, Female, Genetic Predisposition to Disease, Genotype, HLA-DQ Antigens, Humans, Infant, Islets of Langerhans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prognosis, Risk Factors, Young Adult
Show Abstract · Added July 23, 2018
OBJECTIVE - We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals.
RESEARCH DESIGN AND METHODS - We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables.
RESULTS - Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; = 0.0002).
CONCLUSIONS - The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.
© 2018 by the American Diabetes Association.
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22 MeSH Terms
xCT (SLC7A11)-mediated metabolic reprogramming promotes non-small cell lung cancer progression.
Ji X, Qian J, Rahman SMJ, Siska PJ, Zou Y, Harris BK, Hoeksema MD, Trenary IA, Heidi C, Eisenberg R, Rathmell JC, Young JD, Massion PP
(2018) Oncogene 37: 5007-5019
MeSH Terms: 3T3 Cells, A549 Cells, Amino Acid Transport System y+, Animals, Carcinoma, Non-Small-Cell Lung, Cell Line, Cell Line, Tumor, Cell Proliferation, Cell Survival, Cystine, Cytoplasm, Disease Progression, Female, Glutamine, Humans, Lung Neoplasms, Male, Mice, Middle Aged
Show Abstract · Added March 28, 2019
Many tumors increase uptake and dependence on glucose, cystine or glutamine. These basic observations on cancer cell metabolism have opened multiple new diagnostic and therapeutic avenues in cancer research. Recent studies demonstrated that smoking could induce the expression of xCT (SLC7A11) in oral cancer cells, suggesting that overexpression of xCT may support lung tumor progression. We hypothesized that overexpression of xCT occurs in lung cancer cells to satisfy the metabolic requirements for growth and survival. Our results demonstrated that 1) xCT was highly expressed at the cytoplasmic membrane in non-small cell lung cancer (NSCLC), 2) the expression of xCT was correlated with advanced stage and predicted a worse 5-year survival, 3) targeting xCT transport activity in xCT overexpressing NSCLC cells with sulfasalazine decreased cell proliferation and invasion in vitro and in vivo and 4) increased dependence on glutamine was observed in xCT overexpressed normal airway epithelial cells. These results suggested that xCT regulate metabolic requirements during lung cancer progression and be a potential therapeutic target in NSCLC.
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MeSH Terms
Roles for selenium and selenoprotein P in the development, progression, and prevention of intestinal disease.
Short SP, Pilat JM, Williams CS
(2018) Free Radic Biol Med 127: 26-35
MeSH Terms: Animals, Disease Progression, Humans, Intestinal Diseases, Selenium, Selenoprotein P
Show Abstract · Added April 15, 2019
Selenium (Se) is a micronutrient essential to human health, the function of which is mediated in part by incorporation into a class of proteins known as selenoproteins (SePs). As many SePs serve antioxidant functions, Se has long been postulated to protect against inflammation and cancer development in the gut by attenuating oxidative stress. Indeed, numerous studies over the years have correlated Se levels with incidence and severity of intestinal diseases such as inflammatory bowel disease (IBD) and colorectal cancer (CRC). Similar results have been obtained with the Se transport protein, selenoprotein P (SELENOP), which is decreased in the plasma of both IBD and CRC patients. While animal models further suggest that decreases in Se or SELENOP augment colitis and intestinal tumorigenesis, large-scale clinical trials have yet to show a protective effect in patient populations. In this review, we discuss the function of Se and SELENOP in intestinal diseases and how research into these mechanisms may impact patient treatment.
Copyright © 2018 Elsevier Inc. All rights reserved.
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6 MeSH Terms
The Vasculature in Prediabetes.
Wasserman DH, Wang TJ, Brown NJ
(2018) Circ Res 122: 1135-1150
MeSH Terms: Angiotensin-Converting Enzyme Inhibitors, Animals, Blood Vessels, Cardiovascular Diseases, Combined Modality Therapy, Diabetes Mellitus, Type 2, Diet, Reducing, Disease Progression, Endothelium, Vascular, Extracellular Matrix, Fatty Acids, Nonesterified, Fibrinolysis, Glucose, Humans, Hyperglycemia, Hypoglycemic Agents, Inflammation, Insulin Resistance, Life Style, Metabolic Syndrome, Mice, MicroRNAs, Microcirculation, Muscle, Skeletal, Obesity, Prediabetic State, Risk, Weight Loss
Show Abstract · Added March 26, 2019
The frequency of prediabetes is increasing as the prevalence of obesity rises worldwide. In prediabetes, hyperglycemia, insulin resistance, and inflammation and metabolic derangements associated with concomitant obesity cause endothelial vasodilator and fibrinolytic dysfunction, leading to increased risk of cardiovascular and renal disease. Importantly, the microvasculature affects insulin sensitivity by affecting the delivery of insulin and glucose to skeletal muscle; thus, endothelial dysfunction and extracellular matrix remodeling promote the progression from prediabetes to diabetes mellitus. Weight loss is the mainstay of treatment in prediabetes, but therapies that improved endothelial function and vasodilation may not only prevent cardiovascular disease but also slow progression to diabetes mellitus.
© 2018 American Heart Association, Inc.
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28 MeSH Terms
Perspective on the interpretation of research and translation to clinical care with therapy-associated metastatic breast cancer progression as an example.
Fingleton B, Lange K, Caldwell B, Bankaitis KV, Board of the Metastasis Research Society
(2017) Clin Exp Metastasis 34: 443-447
MeSH Terms: Biomedical Research, Breast Neoplasms, Decision Making, Disease Progression, Evidence-Based Medicine, Female, Humans, Translational Medical Research
Show Abstract · Added March 21, 2018
This commentary was written as a collaboration between the Board of the Metastasis Research Society and two patients with metastatic breast cancer. It was conceived in response to how preclinical scientific research is sometimes presented to non-scientists in a way that can cause stress and confusion. Translation of preclinical findings to the clinic requires overcoming multiple barriers. This is irrespective of whether the findings relate to exciting responses to new therapies or problematic effects of currently used therapies. It is important that these barriers are understood and acknowledged when research findings are summarized for mainstream reporting. To minimize confusion, patients should continue to rely on their oncology care team to help them interpret whether research findings presented in mainstream media have relevance for their individual care. Researchers, both bench and clinical, should work together where possible to increase options for patients with metastatic disease, which is still in desperate need of effective therapeutic approaches.
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8 MeSH Terms
Renal fibrosis: Primacy of the proximal tubule.
Gewin LS
(2018) Matrix Biol 68-69: 248-262
MeSH Terms: Animals, Disease Progression, Extracellular Matrix, Fibrosis, Humans, Kidney Tubules, Proximal, Macrophages, Myofibroblasts, Renal Insufficiency, Chronic
Show Abstract · Added March 26, 2019
Tubulointerstitial fibrosis (TIF) is the hallmark of chronic kidney disease and best predictor of renal survival. Many different cell types contribute to TIF progression including tubular epithelial cells, myofibroblasts, endothelia, and inflammatory cells. Previously, most of the attention has centered on myofibroblasts given their central importance in extracellular matrix production. However, emerging data focuses on how the response of the proximal tubule, a specialized epithelial segment vulnerable to injury, plays a central role in TIF progression. Several proximal tubular responses such as de-differentiation, cell cycle changes, autophagy, and metabolic changes may be adaptive initially, but can lead to maladaptive responses that promote TIF both through autocrine and paracrine effects. This review discusses the current paradigm of TIF progression and the increasingly important role of the proximal tubule in promoting TIF both in tubulointerstitial and glomerular injuries. A better understanding and appreciation of the role of the proximal tubule in TIF has important implications for therapeutic strategies to halt chronic kidney disease progression.
Copyright © 2018 International Society of Matrix Biology. Published by Elsevier B.V. All rights reserved.
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Acute Kidney Injury and Risk of Incident Heart Failure Among US Veterans.
Bansal N, Matheny ME, Greevy RA, Eden SK, Perkins AM, Parr SK, Fly J, Abdel-Kader K, Himmelfarb J, Hung AM, Speroff T, Ikizler TA, Siew ED
(2018) Am J Kidney Dis 71: 236-245
MeSH Terms: Acute Kidney Injury, Aged, Cardiovascular Diseases, Cohort Studies, Creatinine, Disease Progression, Female, Glomerular Filtration Rate, Heart Failure, Hospitalization, Humans, Incidence, Kidney, Male, Middle Aged, Renal Insufficiency, Chronic, Retrospective Studies, Risk Factors, United States, Veterans
Show Abstract · Added November 29, 2018
BACKGROUND - Acute kidney injury (AKI) is common and associated with poor outcomes. Heart failure is a leading cause of cardiovascular disease among patients with chronic kidney disease. The relationship between AKI and heart failure remains unknown and may identify a novel mechanistic link between kidney and cardiovascular disease.
STUDY DESIGN - Observational study.
SETTING & PARTICIPANTS - We studied a national cohort of 300,868 hospitalized US veterans (2004-2011) without a history of heart failure.
PREDICTOR - AKI was the predictor and was defined as a 0.3-mg/dL or 50% increase in serum creatinine concentration from baseline to the peak hospital value. Patients with and without AKI were matched (1:1) on 28 in- and outpatient covariates using optimal Mahalanobis distance matching.
OUTCOMES - Incident heart failure was defined as 1 or more hospitalization or 2 or more outpatient visits with a diagnosis of heart failure within 2 years through 2013.
RESULTS - There were 150,434 matched pairs in the study. Patients with and without AKI during the index hospitalization were well matched, with a median preadmission estimated glomerular filtration rate of 69mL/min/1.73m. The overall incidence rate of heart failure was 27.8 (95% CI, 19.3-39.9) per 1,000 person-years. The incidence rate was higher in those with compared with those without AKI: 30.8 (95% CI, 21.8-43.5) and 24.9 (95% CI, 16.9-36.5) per 1,000 person-years, respectively. In multivariable models, AKI was associated with 23% increased risk for incident heart failure (HR, 1.23; 95% CI, 1.19-1.27).
LIMITATIONS - Study population was primarily men, reflecting patients seen at Veterans Affairs hospitals.
CONCLUSIONS - AKI is an independent risk factor for incident heart failure. Future studies to identify underlying mechanisms and modifiable risk factors are needed.
Copyright © 2017 National Kidney Foundation, Inc. All rights reserved.
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20 MeSH Terms