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05). The incorporation of Cu showed meaningfully increased superoxide dismutase, catalase, and glutathione peroxidase but decreased malondialdehyde level in Striped catfish. The villous height exhibited visible growth and branching with increased doses of Cu without a significant increase in the goblet cells. No abnormal features were observed in the liver and hepatocytes of fish treated with Cu. It can be concluded that Cu is required at 1-2 mg/kg for better performances of Striped catfish.As a highly toxic heavy metal, chromium has caused a certain threat to public health and livestock breeding in recent years. In poultry, as one of our most commonly consumed meat product, its health issues will seriously threaten the safety of human life. As previous studies have confirmed, when cells are stimulated by the external environment, mitochondria, as an organelle that provides energy to the cells, can cause damage and autophagy. The purpose of this study is to confirm whether Cr(VI) can cause mitophagy in cock heart. We first randomly divided 32 cocks into four groups to explore the mechanism of this effect. The cocks were then separately exposed to four different dose levels, namely, the control level and 10, 30, and 50 mg/kg levels, via daily oral intake into the body through mixed feeding for 45 days. After 45 days, we sampled and detected pathological changes and the levels of inflammatory factors (IL-6, TNF-α, and IFN-γ), mitochondrial membrane potential (MMP), adenosine triphosphatases (ATPases), and mitophagy-related proteins (LC3, p62/SQTM1, TOMM20, and Parkin). We found that IL-6, TNF-α, IFN-γ, and LC3II contents increased with the increase in Cr(VI) concentration. However, MMP, ATPases, p62/SQTM1, and TOMM20 levels decreased with the increase in Cr(VI) concentration. At the same time, Cr(VI) exposure caused heart tissue damages and Parkin translocation. In conclusion, our results proved that inflammatory damage, mitochondrial function damage, and mitophagy in cock heart tissues were dependent on Cr(VI) concentration.

The ongoing pandemic caused by the novel severe acute respiratory coronavirus 2 (SARS-CoV-2) has stressed health systems worldwide. Patients with chronic kidney disease (CKD) seem to be more prone to a severe course of coronavirus disease (COVID-19) due to comorbidities and an altered immune system. The study's aim was to identify factors predicting mortality among SARS-CoV-2-infected patients with CKD.

We analyzed 2817 SARS-CoV-2-infected patients enrolled in the Lean European Open Survey on SARS-CoV-2-infected patients and identified 426 patients with pre-existing CKD. Group comparisons were performed via Chi-squared test. Using univariate and multivariable logistic regression, predictive factors for mortality were identified.

Comparative analyses to patients without CKD revealed a higher mortality (140/426, 32.9% versus 354/2391, 14.8%). Higher age could be confirmed as a demographic predictor for mortality in CKD patients (> 85years compared to 15-65years, adjusted odds ratio (aOR) 6.49, 95% CI 1.27-33.20, p = 0.025). We further identified markedly elevated lactate dehydrogenase (> 2 × upper limit of normal, aOR 23.21, 95% CI 3.66-147.11, p < 0.001), thrombocytopenia (< 120,000/µl, aOR 11.66, 95% CI 2.49-54.70, p = 0.002), anemia (Hb < 10g/dl, aOR 3.21, 95% CI 1.17-8.82, p = 0.024), and C-reactive protein (≥ 30mg/l, aOR 3.44, 95% CI 1.13-10.45, p = 0.029) as predictors, while renal replacement therapy was not related to mortality (aOR 1.15, 95% CI 0.68-1.93, p = 0.611).

The identified predictors include routinely measured and universally available parameters. Their assessment might facilitate risk stratification in this highly vulnerable cohort as early as at initial medical evaluation for SARS-CoV-2.

The identified predictors include routinely measured and universally available parameters. Their assessment might facilitate risk stratification in this highly vulnerable cohort as early as at initial medical evaluation for SARS-CoV-2.

To examine how parents' and adolescents' weight histories were associated with parents' approach to eating/weight-related parenting and children's eating-disorder behaviors.

Participants were 502 parents (69.3% mothers, 30.7% fathers) of children 12-16years old who completed an online survey. Parents reported their own and their child's weight status during childhood and adolescence. Parents' and children's weight histories were categorized as "weight loss," "weight stability," or "weight gain" and were examined in relation to feeding practices and eating-disorder psychopathology.

Parents with a history of weight gain had greater personal eating-disorder psychopathology and more concerns about their child's weight than parents with weight stability or loss. BafilomycinA1 They also reported greater parental overvaluation (judgment of themselves as parents according to their child's weight/shape). Children with a history of weight loss or gain were more likely to have eating-disorder behaviors than those with stable weight. Analyses revealed that results largely persisted after adjusting for child BMI-z.

Both parent and child weight gain between childhood and adolescence were associated with eating-disorder psychopathology, eating/weight-related parenting, and feeding practices. Pediatricians and clinicians should assess weight history when considering risk for eating disorders and obesity.

Level III, Evidence obtained from well-designed cohort or case-controlled analytic studies.

Level III, Evidence obtained from well-designed cohort or case-controlled analytic studies.

As routine outcome monitoring has become prevalent in psychological practice, there is need for measurement tools covering diverse symptoms, treatment processes, patient strengths, and risks. Here we describe the development and initial tests of the psychometric properties of a multi-scale system for use in mental healthcare, Norse Feedback.

In Study 1, we present the item-generation process and structure of the Norse Feedback, a 17-scale digital-first measurement tool for psychopathology and treatment-relevant variables. In Study 2, we present analyses of this initial measure in a nonclinical sample of 794 healthy controls and a sample of 222 mental health patients. In Study 3, we present the analysis of a revised 20-scale system in two separate samples of patients. In each analysis, we investigate item and test information in particular, including analysis of differential item functioning on gender, age, site, and sample differences where applicable.

Scales performed variably. Changes to items and scales are described.