• Lundsgaard Steenberg posted an update 6 months ago

    The aim of this study was to examine neuropsychological functioning and white matter integrity, in service members and veterans (SMVs) after mild traumatic brain injury (MTBI), with versus without post-traumatic stress disorder (PTSD). Participants were 116 U.S. military SMVs, prospectively enrolled from the Walter Reed National Military Medical Center (Bethesda, MD), who had sustained an MTBI (n = 86) or an injury without TBI (i.e., Injured Control ; n = 30). Participants completed a battery of neuropsychological measures (neurobehavioral and -cognitive), as well as diffusion tensor imaging (DTI) of the brain, on average 6 years post-injury. Based on diagnostic criteria for PTSD, participants in the MTBI group were classified into two subgroups MTBI/PTSD-Present (n = 21) and MTBI/PTSD-Absent (n = 65). Participants in the IC group were included only if they were classified as PTSD-Absent. The MTBI/PTSD-Present group had a significantly higher number of self-reported symptoms on all neurobehavioral measures (e.g., depression), and lower scores on more than half of the neurocognitive domains (e.g., processing speed), compared to the MTBI/PTSD-Absent and IC/PTSD-Absent groups. selleck inhibitor There were no significant group differences for the vast majority of DTI measures, with the exception of a handful of regions (i.e., superior longitudinal fascicle and superior thalamic radiation). These results suggest that there is 1) a strong relationship between PTSD and poor neuropsychological outcome after MTBI and 2) a lack of a relationship between PTSD and white matter integrity, as measured by DTI, after MTBI. Concurrent PTSD and MTBI should be considered a risk factor for poor neuropsychological outcome that requires early intervention.This study examined reactive oxidized nitrogen (NOy) speciation and partitioning at one urban site, Queens College (QC) in New York City, and one rural site, Pinnacle State Park (PSP) in Addison, New York (NY) from September 2016 to August 2018 and June 2016 to September 2018, respectively. Oxides of nitrogen (NOx), nitric acid (HNO3), particle nitrate (pNO3), peroxy nitrates (PNs), alkyl nitrates (ANs), and NOy measurements were made at both sites. Across all seasons at QC, the median NOx, HNO3, pNO3, PNs, ANs, and NOy concentrations were 10.99, 0.49, 0.24, 0.62, 0.94, and 13.95 parts per billion (ppb), respectively. All-season median percent contributions of NOx, HNO3, pNO3, PNs, and ANs to the total NOy at QC were 77, 4, 2, 5, and 7%, respectively. Therefore, the sum of the individual NOy species (NOyi ≈ NOx + HNO3 + pNO3 + PNs + ANs) accounted for 95% of the total NOy at QC, which was well within measurement uncertainties. At PSP, the median NOx, HNO3, pNO3, PNs, ANs, and NOy concentrations were 0.65, 0.1ce O3 and PM2.5 are regulated pollutants that have proven difficult to control, the results have implications for current and future air quality policy.In contrast to most Indigenous people in Canada, Inuit appeared until recently to have been protected from type 2 diabetes (T2D) related to obesity. We assessed the associations of metabolites (amino acids, acylcarnitines) with adiposity and biomarkers of T2D in school-aged Inuit children of Nunavik (Canada). Concentrations of metabolite were measured in plasma samples from a cross-sectional analysis of 248 children (mean age = 10.8 years). We assessed associations of plasma metabolites with adiposity measures (BMI, skinfold thicknesses) and T2D markers (insulin, glucose, adiponectin). Plasma concentrations of valine and tyrosine were higher in obese and overweight children compared to those of normal weight children (P less then 0.05). An increment of 1-SD in BMI (SD = 3.3 kg/m2) was statistically associated with an increment of 0.21 (95% CI 0.08, 0.33) for valine, 0.15 (95% CI 0.02, 0.27) for isoleucine and 0.17 (95% CI 0.04, 0.29) for tyrosine. Insulin concentration increased with concentrations of all amino acids (P less then 0.05) except methionine. None of the acylcarnitines measured were statistically significantly associated with adiposity or T2D biomarkers A signature of metabolites, particularly higher levels of branched-chain amino acids, might allow for early detection of T2D among school-aged Inuit children.Knockout (KO) or exogenous expression of a gene of interest in cultured cells is one of the most important ways to study the function of the gene. Compared with transient transfection, stable cell lines possess great advantages such as excellent cell homogeneity and feasibility for long-term use. However, technical challenges in generating stable cell lines still exist in many laboratories using conventional techniques like limiting dilution or cloning cylinders. In this study we describe an optimized method to efficiently create stable cell lines for functional studies. This method was successfully used to generate a PIEZO1 gene-KO cell line with the CRISPR/Cas9 technology, and TRPC5/GCaMP6f-mCherry-coexpressing cell lines without antibiotic selection. Monoclonal cell lines can be obtained in 2-4 weeks after transfection. This method does not require any special equipment or consumables and can be conducted in all laboratories with general cell-culture facility.Background Glycated hemoglobin A1c (HbA1c) is a key biomarker in the glycemic management of individuals with diabetes but the relationship with glucose levels can be variable. A recent kinetic model has described a calculated HbA1c (cHbA1c) that is individual-specific. Our aim was to validate the routine clinical use of this glucose metric in younger individuals with diabetes under real life-settings. Materials and methods We retrieved HbA1c and glucose data from the German-Austrian-Swiss-Luxemburgian diabetes follow-up (DPV) registry, which covers pediatric individuals with type 1 diabetes. The new glycemic measure, cHbA1c, uses two individual parameters identified by data sections which contain continuous glucose data between two laboratory HbA1c measurements. The cHbA1c was prospectively validated using longitudinal HbA1c data. Results CGM data from 352 T1D individuals in 13 clinics were analyzed together with HbA1c that ranged between 4.9-10.6%. In the prospective analysis, absolute deviations of estimated HbA1c (eHbA1c), glucose management indicator (GMI) and cHbA1c compared with laboratory HbA1c were 1.

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