For an automated assessment of the sampling quality and degree of positivity for COVID-19, we developed scalable formulae based on a logistic classification model using both cycle threshold and melting temperature from the qRT-PCR results. Our newly developed protocol will allow easy sampling and spatial-separation between patient and experimenter for guaranteed safety. Furthermore, our newly established risk assessment formula can be applied to a large-scale diagnosis in health institutions and agencies around the world.

Practice patterns of radiation therapy (RT) use for soft-tissue sarcoma (STS) remain quite variable, despite clinical practice guidelines recommending the addition of RT to surgery for patients with high-grade STS, particularly for larger tumors. Using the National Cancer Database (NCDB), we assessed patterns of overall RT use, neoadjuvant versus adjuvant treatment, and specific RT modalities in this population.

Patients aged ≥18 years with stage II/III STS in 2004 through 2015 were identified from the NCDB. Patterns of care were assessed using multivariable logistic regression analysis.

Of 27,426 total patients, 11,654 (42%) were treated with surgery alone versus 15,772 (58%) with RT in addition to surgery, with no overall increase in RT use over the study period. Notable clinical predictors of receipt of RT included tumor size (>5 cm), grade III, and tumors arising in the extremities. Conversely, female sex, older age (≥70 years), Black race, noncommercial insurance coverage, farther distance to trqually considered for RT.

Although use of neoadjuvant RT and IMRT has increased over time, a significant number of patients with STS are not receiving adjuvant or neoadjuvant RT. Our findings also note potential sociodemographic disparities and highlight the concern that not all patients with STS are being equally considered for RT.Patients hospitalized with COVID-19 are at risk of developing many neuropsychiatric disorders, due to the effects of the disease on the brain and the psychosocial pressures of having the disease. The aim of the present study was to evaluate the characteristics and outcomes of patients who were hospitalized with a diagnosis of COVID-19, who underwent psychiatric consultations. The medical records of 892 patients hospitalized due to COVID-19 and the 89 among them who requested psychiatric consultations were analyzed retrospectively. After the psychiatric consultations, patients were most frequently diagnosed with delirium (38.2 %), adjustment disorder (27.0 %), depressive disorder (19.1 %) and anxiety disorder (11.2 %). Patients with delirium had longer hospital stays (p less then 0.001), were transferred more frequently to intensive care units (p less then 0.001), and had higher mortality rates during their hospital stays (p less then 0.001), than all other patients. The need for oxygen (p less then 0.001) and mechanical ventilation (p less then 0.001) was also significantly higher in delirium patients, as well as in patients who received other psychiatric diagnoses. Neuropsychiatric disorders develop in patients receiving inpatient treatments in COVID-19 wards, and these disorders negatively affect the prognosis of COVID-19. Our findings suggest that the presence of neuropsychiatric disorders in in-patients with COVID-19 might be associated with the negative outcomes of the disease.Netherton syndrome (NS) is a rare, autosomal recessive hereditary skin disease caused by mutations in SPINK5 gene, characterized with severe skin barrier damage. A human induced pluripotent stem cell (iPSC) line has been established with electroporation method from urine-derived cells of a NS patient carrying a compound heterozygous mutation c.2260A > T (p.K754X) and c.2423C > T(p.T808I) in SPINK5 gene. This iPSC line may serve as a valuable model for the research of pathogenesis of NS, and the mechanisms and therapeutics for skin barrier damage.

Obesity and its comorbidities are associated with abnormal lipid metabolism and gut microbiota dysbiosis. Bupleuri Radix is a medicinal plant used in traditional Chinese medicine with the prevention and treatment of obesity-related diseases. In this study, we aim to validate the regulation of Bupleuri Radix Extract (BupE) on lipid metabolism in obese mice, and try to find out the potential active components and reveal the underlying mechanisms.

Ingredients in BupE, their circulating metabolites in mice and fecal biotransformation products were analyzed by ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS). Western blotting, RT-PCR and ELISA were used for tests of objective genes and proteins. 16 s rRNA sequencing was performed to examine intestinal bacteria composition and microbes’ functional changes were predicted with PICRUSt software. An absolute quantification method was set up via the construction of recombinant plasmid for the assays of in-induced obesity and counteracts metabolic syndrome features consistent with a mechanism involving the gut-liver axis that boosts hepatic FGF21 secretion and consequent down-stream proteins expression relating to lipid metabolism. And in this gut-liver axis, intestinal microbes such as B.acidifaciens and R.gnavus play an indispensable role.

These data suggest that BupE protects against diet-induced obesity and counteracts metabolic syndrome features consistent with a mechanism involving the gut-liver axis that boosts hepatic FGF21 secretion and consequent down-stream proteins expression relating to lipid metabolism. And in this gut-liver axis, intestinal microbes such as B.acidifaciens and R.gnavus play an indispensable role.The present study aimed to expand weight stigma theoretical models by accounting for central tenets of prominent eating disorder (ED) theories and increasing the generalizability of existing models for individuals across the weight spectrum. College students (Sample 1 N = 1228; Sample 2 N = 1368) completed online surveys assessing stigma and ED symptoms. In each sample, separately, multi-group path analyses tested whether body mass index (BMI) classification (underweight/average weight, overweight, obese) moderated a model wherein weight stigma experiences were sequentially associated with weight bias internalization, body dissatisfaction, and five ED symptoms binge eating, purging, restricting, excessive exercise, muscle building behaviors. Results supported the assessed model overall and for individuals in each BMI class, separately. Although patterns of associations differed for individuals with different BMIs, these variations were limited. The present findings suggest that the adverse impact of weight stigma on distinct ED symptoms is not limited to individuals with elevated BMIs and that these associations are generally explained by the same mechanisms. Weight stigma interventions that focus on decreasing weight bias internalization and body dissatisfaction are recommended for individuals across the weight spectrum. Further examination of associations between weight stigma and multiple ED symptoms, beyond disinhibited eating, is supported.Research has demonstrated links between viewing idealized images on social media and body dissatisfaction, but more work is needed to understand how exposure to appearance-related content influences body image. The current research evaluated the effects of viewing fitspiration images and images of self-compassion quotes on Instagram on men and women’s body image and self-compassion. This topic was examined in two separate investigations in the U.S.; a sample of undergraduate students (N = 180, 62 men and 118 women) and a community sample recruited through Amazon Mechanical Turk (N = 296; 173 men and 123 women). In both studies, participants viewed either same-gender images of fitspiration, self-compassion quotes, a combination of fitspiration images and self-compassion quotes, or neutral images (control). Overall, the findings suggest that viewing fitspiration images only promotes lower body satisfaction and appreciation, whereas viewing self-compassion images only leads to improved body satisfaction and appreciation. There was, however, little support for the buffering effects of self-compassion in the combined condition. Our results demonstrate the detrimental effects of exposure to fitspiration content and the positive effects of exposure to self-compassion content on social media for men and women as well as the need for future research in this area.

Findings from epidemiological studies of prenatal phthalate exposure and child cognitive development are inconsistent. Methods for evaluating mixtures of phthalates, such as weighted quantile sum (WQS) regression, have rarely been applied. We developed a new extension of the WQS method to improve specificity of full-sample analyses and applied it to estimate associations between prenatal phthalate mixtures and cognitive and language outcomes in a diverse pregnancy cohort.

We measured 22 phthalate metabolites in third trimester urine from mother-child dyads who completed early childhood visits in the Conditions Affecting Neurodevelopment and Learning in Early childhood (CANDLE) study. Language and cognitive ability were assessed using the Bayley Scales of Infant Development (age 3) and the Stanford Binet-5 (age 4-6), respectively. We used multivariable WQS regression to identify phthalate mixtures that were negatively and positively associated with language score and full-scale IQ, in separate models, adjuo split the data into training and test sets and should be considered for future analyses of exposure mixtures.

In the largest study of these relationships to date, we observed predominantly null associations between mixtures of prenatal phthalates and both language and IQ. Our novel extension of WQS regression improved sensitivity to detect true associations by obviating the need to split the data into training and test sets and should be considered for future analyses of exposure mixtures.Biodiversity is a cornerstone of human health and well-being. However, while evidence of the contributions of nature to human health is rapidly building, research into how biodiversity relates to human health remains limited in important respects. In particular, a better mechanistic understanding of the range of pathways through which biodiversity can influence human health is needed. These pathways relate to both psychological and social processes as well as biophysical processes. Building on evidence from across the natural, social and health sciences, we present a conceptual framework organizing the pathways linking biodiversity to human health. Four domains of pathways-both beneficial as well as harmful-link biodiversity with human health (i) reducing harm (e.g. provision of medicines, decreasing exposure to air and noise pollution); (ii) restoring capacities (e.g. attention restoration, stress reduction); (iii) building capacities (e.g. promoting physical activity, transcendent experiences); and (iv) causing harm (e.g. dangerous wildlife, zoonotic diseases, allergens). We discuss how to test components of the biodiversity-health framework with available analytical approaches and existing datasets. In a world with accelerating declines in biodiversity, profound land-use change, and an increase in non-communicable and zoonotic diseases globally, greater understanding of these pathways can reinforce biodiversity conservation as a strategy for the promotion of health for both people and nature. We conclude by identifying research avenues and recommendations for policy and practice to foster biodiversity-focused public health actions.