97 research outputs found

    Sleep quality and sex-related factors in adult patients with immune-mediated diabetes: a large cross-sectional study

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    AimTo analyze sleep quality and its relationships with clinical and biochemical features in a large cohort of adults with autoimmune diabetes.MethodsWe administered to 553 patients with autoimmune diabetes the questionnaires: Pittsburgh Sleep Quality Index (PSQI), diabetes distress scale, diabetes-related quality of life and diabetes treatment satisfaction questionnaire. We excluded patients with missing HbA1c +/- 4 months from PSQI administration or incorrect PSQI compilation (n = 110).ResultsAltered sleep quality was recorded in 142/443 subjects (32%), insufficient total sleep time in 177/443 (40%). The altered sleep quality group had higher HbA1c (median 56 mmol/mol [interquartile range-IQR 49-62] vs 59 [IQR 52-68]; P < 0.001), higher average HbA1c in the previous 36 months (59 mmol/mol [IQR 54-68] vs 56 [IQR 51-62]; P < 0.001), and more individuals with HbA1c > 53 mmol/mol (74.6% vs 62.8%; P = 0.014). Diabetes duration (P = 0.63), type of insulin delivery (P = 0.48) and glucose monitoring (P = 0.35) were uninfluential. Patients with altered sleep quality showed higher prevalence of autoimmune (42 vs 28%; P = 0.005) and mental diseases (12 vs 4%; P = 0.002); there were greater emotional distress, and lower quality of life and treatment satisfaction (P < 0.001 for all), irrespective of sex. Men with altered sleep quality had higher HbA1c and prevalence of autoimmune diseases. Women showed greater prevalence of psychiatric disorders. Average HbA1c of the previous 36 months, autoimmune or psychiatric disorders were independent predictive factors for altered sleep quality.ConclusionOne-third of the patients with autoimmune diabetes showed altered sleep quality, which associates with worse glycemic control, and autoimmune and mental disorders, with sex-specific differences

    Pharmacokinetics and pharmacogenetics of SSRIs during pregnancy : An observational study

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    Background: An involvement of selective serotonin reuptake inhibitors (SSRIs) in increasing the risk of malformations, neonatal withdrawal syndrome, has been suggested recently. Here, we aimed to investigate the contribution of individual pharmacogenetics of SSRI on infants' outcome. We also estimated the umbilical/maternal plasma SSRI concentration ratio in the pregnant women still on SSRI therapy at the time of delivery. Methods: Thirty-four pregnant women, referred to our hospital from January 2011 to July 2015, who were given SSRIs in the third trimester, and related children, were considered. The umbilical/maternal plasma SSRI concentration ratio was estimated in 15 mothers still on SSRI therapy at the time of delivery. For patients with pharmacokinetic analyses, blood samples were collected for pharmacogenetic analyses. Results: Nineteen newborns presented clinical signs possibly related to drug toxicity. A high umbilical/maternal plasma ratio of SSRI was observed in 10 of the 15 evaluated newborns. Five mothers were intermediate metabolizers and 1 a poor metabolizer for the major CYP enzyme involved in pharmacokinetic pathway. Conclusions: Individualized psychopharmacologic treatment that takes into account the mother's exposure to SSRI concentrations and eventually her genetic background may become the standard of care to maximize drug benefit and minimize risks to the newborn

    Suboptimal maternal nutrition, during early fetal liver development, promotes lipid accumulation in the liver of obese offspring

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    Maternal nutrition during the period of early organ development can modulate the offspring's ability to metabolise excess fat as young adults when exposed to an obesogenic environment. This study examined the hypothesis that exposing offspring to nutrient restriction coincident with early hepatogenesis would result in endocrine and metabolic adaptations that subsequently lead to increased ectopic lipid accumulation within the liver. Pregnant sheep were fed either 50 or 100% of total metabolisable energy requirements from 30 to 80 days gestation and 100% thereafter. At weaning, offspring were made obese, and at ∼1 year of age livers were sampled. Lipid infiltration and molecular indices of gluconeogenesis, lipid metabolism and mitochondrial function were measured. Although hepatic triglyceride accumulation was not affected by obesity per se, it was nearly doubled in obese offspring born to nutrient-restricted mothers. This adaptation was accompanied by elevated gene expression for peroxisome proliferator-activated receptor γ (PPARG) and its co-activator PGC1α, which may be indicative of changes in the rate of hepatic fatty acid oxidation. In contrast, maternal diet had no influence on the stimulatory effect of obesity on gene expression for a range of proteins involved in glucose metabolism and energy balance including glucokinase, glucocorticoid receptors and uncoupling protein 2. Similarly, although gene expressions for the insulin and IGF1 receptors were suppressed by obesity they were not influenced by the prenatal nutritional environment. In conclusion, excess hepatic lipid accumulation with juvenile obesity is promoted by suboptimal nutrition coincident with early development of the fetal liver

    A simple index of lipid overaccumulation is a good marker of liver steatosis

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    <p>Abstract</p> <p>Background</p> <p>Liver steatosis is often found in association with common cardiometabolic disorders, conditions that may all occur in a shared context of abdominal obesity and dyslipidemia. An algorithm for identifying liver steatosis is the fatty liver index (FLI). The lipid accumulation product (LAP) is an index formulated in a representative sample of the US population to identify cardiometabolic disorders. Because FLI and LAP share two components, namely waist circumference and fasting triglycerides, we evaluated the ability of LAP to identify liver steatosis in the same study population from the Northern Italian town where FLI was initially developed.</p> <p>Methods</p> <p>We studied 588 individuals (59% males) aged 21 to 79 years. Liver steatosis was detected by ultrasonography and coded ordinally as none, intermediate and severe. 44% of the individuals had liver steatosis. Using proportional-odds ordinal logistic regression, we evaluated the ability of log-transformed LAP (lnLAP) to identify liver steatosis. We considered the benefits to our model of including terms for sex, age, suspected liver disease and ethanol intake. We calculated the 3-level probability of liver steatosis according to lnLAP and sex, providing tables and nomograms for risk assessment.</p> <p>Results</p> <p>An ordinal proportional-odds model consisting of lnLAP and sex offered a reasonably accurate identification of liver steatosis. The odds of more severe <it>vs. </it>less severe steatosis increased for increasing values of lnLAP (odds ratio [OR] = 4.28, 95%CI 3.28 to 5.58 for each log-unit increment) and was more likely among males (OR = 1.88, 95%CI 1.31 to 2.69).</p> <p>Conclusion</p> <p>In a study sample of adults from Northern Italy, the simple calculation of LAP was a reasonably accurate approach to recognizing individuals with ultrasonographic liver steatosis. LAP may help primary care physicians to select subjects for liver ultrasonography and intensified lifestyle counseling, and researchers to select patients for epidemiologic studies. A more thorough assessment of LAP's potential for identifying liver steatosis will require its cross-evaluation in external populations.</p

    Diabetes and liver disease: an ominous association

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    Diabetes mellitus and advanced liver disease are associated with each other more frequently than expected by chance, and such an association carries a significant risk of morbidity and mortality. A metabolic pathway leading to advanced liver disease via fatty liver and steatohepatitis has been demonstrated, further supporting the possibility that cirrhosis may be a late complication of diabetes. In addition, an interaction between hepatitis C virus (HCV) and insulin resistance increases the overall prevalence of associated diseases, through largely unidentified mechanisms. Extensive prospective monitoring of non-alcoholic fatty liver disease cases, analysis of insulin signaling in HCV-infected patients using molecular biology techniques, and intervention studies, will help to clarify the mechanisms of action of the possible clinical strategies, the predictive value of biochemical, histological, and clinical markers, and the effectiveness of treatments availabl

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    Abstract. -A paradox exists in the relationship between nutrition and cancer. Excessive dietary intake of nutrients and decreased physical activity represent two modifiable factors responsible for cancer development, namely for cancers of the gastrointestinal (GI) tract, and the present epidemics of obesity and diabetes is likely to increase the incidence of GI and metabolically-derived liver in the next few years. At the same time, in subjects diagnosed with cancer, malnutrition represents a risk factor of poor outcome following surgical resection, as well as of increased toxicity following chemo-and radiotherapy. Any effort should be made to modify the current trend of obesity for cancer prevention, as well as to provide enteral or parenteral nutritional support in cancer patients, to cope with nutritional needs and prevent cancer-related cachexia
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