Herringupton0681
Metal-free single heteroatom (N, O, and B)-doped coconut-shell biochar (denoted as N-CSBC, O-CSBC, and B-CSBC, respectively) were fabricated in a one-step pyrolysis process to promote peroxymonosulfate (PMS) activation for the elimination of sulfathiazole (STZ) from aquaculture water. B-CSBC exhibited remarkably high catalytic activity with 92% of STZ degradation in 30 min attributed to the presence of meso-/micro-pores and B-containing functional groups (including B-N, B-C, and B2O3 species). Radical quenching tests revealed SO4•-, HO•, and 1O2 being the major electron acceptors contributing to STZ removal by PMS over B-CSBC catalyst. The B-CSBC catalyst has demonstrated high sustainability in multiple consecutive treatment cycles. High salinity and the presence of inorganic ions such as chloride, enhanced the performance of the sulfate radical-carbon-driven advanced oxidation processes (SR-CAOPs) as pretreatment strategy that significantly facilitated the removal of STZ from aquaculture water. Furthermore, a potential sulfonamide-degrading microorganism, Cylindrospermum_stagnale, belonging to the phylum Cyanobacteria, was the dominant functional bacteria according to the results of high-throughput 16S rRNA gene sequencing conducted after the B-CSBC/PMS treatment. This study provides new insights into the SR-CAOP combined with bioprocesses for removing STZ from aqueous environments.Studies have confirmed that PM10, defined as respirable particles with diameters of 10 μm and smaller, has adverse effects on human health and the environment. Various estimation methods are employed to determine the PM10 concentration using historical data on controlling PM10 air pollution, early warning, and protecting public health and the environment. The present study analyses different Long Short-Term Memory (LSTM) models that can predict hourly PM10 concentration. In parallel, the study also investigates the effectiveness of the data preprocessing and feature selection (DPFS) process on the prediction accuracy of the LSTM models. For this purpose, three different LSTM models, namely Vanilla, Bi-Directional, and Stacked, were developed. Then, a comprehensive data preprocessing stage is used to eliminate missing and erroneous data and outliers from real-world raw data, and a feature selection process is applied to extract unnecessary features. The LSTM models consider three air quality parameters, including SO2, O3, and CO, and three meteorological factors, including relative humidity, wind direction, and wind speed. The prediction performances of the LSTM models are compared using the RMSE, MAE and R2 performance index according to whether DPFS is used in the models or not. As a result, when the DPFS process was applied, the proposed LSTM models achieved high prediction performance and can be used to predict hourly PM10 concentrations. Overall, the DPFS process significantly enhanced the developed LSTM models' prediction performance. Furthermore, the proposed model might be a useful tool for city administrators to make decisions and improve air quality management efforts.
To examine the associations of serum concentrations of adiponectin and leptin and leptin/adiponectin ratio (LAR) in early pregnancy with risk of gestational diabetes mellitus (GDM) in Chinese women. The predictive ability of those biomarkers for GDM was also assessed.
Within the Tongji-Shuangliu Birth Cohort, a nested case-control study was established with 332 GDM cases and 664 matched controls at 12 ratio on age (±3 years) and gestational age (±4 weeks). Serum adiponectin and leptin levels were measured in early pregnancy (median gestational week, 11; range, 6-15). Conditional logistic regression models with adjustment for potential covariates were used to evaluate the associations.
Multivariable-adjusted odds ratios (ORs) comparing extreme quartiles of adiponectin, leptin and LAR were 0.55 (95% CI, 0.35, 0.85), 1.96 (95% CI, 1.19, 3.24), and 2.72 (95% CI, 1.63, 4.54) for GDM, respectively (All P-trend<0.02). Adding adiponectin and leptin to a conventional prediction model (including traditional risk factors and fasting glucose) increased the C-statistics from 0.708 (95% CI, 0.674, 0.741) to 0.728 (95% CI, 0.695, 0.760), and achieved a net reclassification improvement of 0.292.
Our findings indicate that adiponectin is inversely associated with GDM, while leptin and LAR are positively associated with GDM in Chinese pregnant women.
Our findings indicate that adiponectin is inversely associated with GDM, while leptin and LAR are positively associated with GDM in Chinese pregnant women.
The aim of this study was to evaluate the association between circulating oxLDL/LDL-C ratio and the severity of coronary atherosclerosis, along with other emerging biomarkers of cardiovascular disease (CVD) in patients with type 2 diabetes.
We recruited 152 patients with type 2 diabetes for our study. Rabusertib manufacturer ELISA measured the plasma levels of oxLDL and other biomarkers. The severity of coronary lesions was evaluated using Gensini scores, which were calculated based on results of coronary computed tomographic angiography (CCTA). All patients were allocated into four groups according to CCTA findings and Gensini score normal group (score=0), mild coronary atherosclerosis group (0<scores≤3), moderate coronary atherosclerosis group (3.01≤scores≤32.67) and severe coronary atherosclerosis group (32.68≤scores≤180). Association between the oxLDL/LDL-C ratio and the severity of coronary atherosclerosis were evaluated using logistic regression models.
Multivariate logistic regression analysis showed that the oxLDL/LDL-C ratio was positively associated with severity of coronary atherosclerosis (OR 2.03, 95% CI 1.31-3.14, p<0.01). Interleukin 33 (IL33) correlated positively with oxLDL/LDL-C ratio (r=0.274, p<0.01). However, vascular cell adhesion molecular-1 (VCAM-1) had similar trends with oxLDL/LDL-C ratio in these 4 groups.
OxLDL/LDL-C ratio is considered as a potential biomarker in patients with diabetes for early recognition and intervention of severe coronary atherosclerosis, and will be more effective if tested IL33 and VCAM-1 at the same time.
OxLDL/LDL-C ratio is considered as a potential biomarker in patients with diabetes for early recognition and intervention of severe coronary atherosclerosis, and will be more effective if tested IL33 and VCAM-1 at the same time.Patients with diabetes have a prothrombotic state and a 2 to 4 times higher risk of cardiovascular events than those without diabetes. Aspirin is the cornerstone of treatment in patients withcardiovascular disease, irrespective of diabetes status, being able to confer a 19% relative risk reduction per year in serious vascular events compared with placebo at long-term follow-up (6.7% vs 8.2% per year, p less then 0.0001). Data regarding the benefit-risk ratio of aspirin prescribed to patients with diabetes without established cardiovascular disease are less convincing, especially when compared to other preventive strategies. Of note, in primary prevention trials, aspirin allocation yielded a significant 12% proportional reduction in serious vascular events, irrespective of diabetes status, corresponding to a small annual absolute risk reduction (0.06% per year). However, in everyday clinical practice aspirin is still largely prescribed by both diabetologists and cardiologists. In this article, we provide eight questions and answers corroborated by available evidence on the use of aspirin for primary prevention of cardiovascular disease in diabetes.
To assess the clinical characteristics and outcomes of patients hospitalized with DKA.
We examined the hospital database for patients admitted with DKA to all government hospitals in Qatar over 6 years.
We evaluated a total of 1330 patients [(37.3 % with type 1 diabetes (T1DM) and 62.7 % with type 2 diabetes (T2DM)] with 1613 episodes of DKA. Patients with T2DM were older than those with T1DM [48.0 (38.0-60.0), 26.0 (21.0-31.0) years] while there was no difference in DKA severity and laboratory values on admission or time to resolution of DKA. Admission to the intensive care unit was higher (38.9 % vs. 26.6 %; P < 0.001) with a longer hospital stay [5 (2.0-9.0) vs. 2 (2.0-4.0) days, P < 0.001] and markedly higher mortality (7.4 % vs. 1 %; P < 0.001) in patients with T2DM compared to T1DM. On multivariable logistic regression analysis, significant predictors of mortality were older age (odds ratio, 1.11; 95 % CI, 1.07-1.15; P = 0.0001), and admission to the intensive care unit (odds ratio, 3.61; 95 % CI, 1.69-7.72;P = 0.001).
In this national cohort of patients hospitalized with DKA, those with T2DM had a 7-fold increase in inpatient mortality associated with older age and admission to the intensive care unit.
In this national cohort of patients hospitalized with DKA, those with T2DM had a 7-fold increase in inpatient mortality associated with older age and admission to the intensive care unit.
To investigate the dose-response relationship of total sedentary time with incident diabetes in Chinese middle-aged and older adults.
The present study followed 100,525 participants aged ≥ 40years old from the China Cardiometabolic Disease and Cancer Cohort (4C) Study, which was a prospective study conducted in 25 communities across mainland China. Associations between sedentary time and incident diabetes were assessed with Cox regression and restricted cubic splines.
During a median follow-up of 3.8years, 7,529 participants developed diabetes. After adjustment for multiple variables, high levels of sedentary time (≥ 30h/week) was associated with increased risk for developing diabetes (hazards ratio, 1.08; 95% confidence intervals 1.02, 1.14) compared with low levels of sedentary time (<20h/week). Restricted cubic spline analyses revealed an inverted U-shaped relation between sedentary time with diabetes. Subgroup analyses found that the observed association remained significant in subgroup of individuals with body mass index (BMI) ≥ 25kg/cm
or diastolic blood pressure (DBP) ≥ 90mm Hg. However, the significant association was diminished in participants with sufficient physical activity (PA) (P=0.22).
The multicenter, population-based, prospective study suggested an inverted U-shaped relation between sedentary time with diabetes. PA alleviated the deleterious effects associated with sedentary time.
The multicenter, population-based, prospective study suggested an inverted U-shaped relation between sedentary time with diabetes. PA alleviated the deleterious effects associated with sedentary time.Asparagine synthetase (ASNS) catalyzes synthesis of asparagine (Asn) and Glu from Asp and Gln in an ATP-dependent reaction. Asparagine synthetase deficiency (ASNSD) results from biallelic mutations in the ASNS gene. Affected children exhibit congenital microcephaly, continued brain atrophy, seizures, and often premature mortality. However, the underlying mechanisms are unclear. This report describes a compound heterozygotic ASNSD child with two novel mutations in the ASNS gene, c.1118G>T (paternal) and c.1556G>A (maternal), that lead to G373V or R519H ASNS variants. Structural mapping suggested that neither variant participates directly in catalysis. Growth of cultured fibroblasts from either parent was unaffected in Asn-free medium, whereas growth of the child's cells was suppressed by about 50%. Analysis of Asn levels unexpectedly revealed that extracellular rather than intracellular Asn correlated with the reduced proliferation during incubation of the child's cells in Asn-free medium. Our attempts to ectopically express the G373V variant in either HEK293T or JRS cells resulted in minimal protein production, suggesting instability.
