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Diallyl trisulfide (DATS) is a bioactive compound in garlic. The anti-obesity effect of garlic oil has been reported, but the role and mechanism of DATS in preventing obesity remain to be explored.

Studies with high-fat-diet-induced obese mice and 3T3-L1 adipocytes are performed. The results show that DATS significantly reduces lipid accumulation and repairs disordered metabolism in vivo by restraining adipogenesis and lipogenesis, and promoting lipolysis and fatty acid oxidation in white adipose tissue. In cells, DATS plays different roles at different stages of adipocyte differentiation. Notably, DATS reduces lipid accumulation mainly by inhibiting adipogenesis and lipogenesis at the late stage. KLF15 is knocked down in 3T3-L1 cells, which eliminate the inhibitory effect of DATS on adipogenesis and lipogenesis. The dual-luciferase reporter and ChIP assays indicate that DATS can inhibit the transcriptional activation function of KLF15 on PPARγ by inhibiting the binding of KLF15 to PPARγ promoter. The function comparison of structural analogs and the intervention of dithiothreitol show that disulfide bond is crucial for DATS to work.

DATS prevents obesity by regulating the transcriptional activation function of KLF15 on PPARγ.

DATS prevents obesity by regulating the transcriptional activation function of KLF15 on PPARγ.

Nowadays, due to globalisation, the likelihood that infectious diseases spread rapidly is extraordinarily high. SARS and COVID-19 are two diseases of the Coronavirus family, which developed in China and then spread internationally, causing global public health emergencies. This study investigates the role that risk management and communication systems played in mitigating these emergencies, to establish how they should be improved in the future.

A narrative review was carried out to investigate different knowledge domains, such as risk management and communication, risk assessment and indicators, epidemiological and clinical data, diagnostic methods, vaccines, public health and social measures.

On one side, risk management systems assess the main data, knowledge, and indicators on epidemiology, diagnostics, and vaccines (science-based); on the other side, they apply public health and social measures (socially-based). Decision-makers, in fact, implement their actions by constantly balancing these two sides (policy-based).

A correct crisis management approach should support the governance of pandemics, by harmonising the actual risks assessed by experts with those perceived by the general population. It should incorporate not only the biological, but even the environmental, social and economic aspects of virus emergencies, towards establishing a suitable framework to deal with possible future pandemics.

A correct crisis management approach should support the governance of pandemics, by harmonising the actual risks assessed by experts with those perceived by the general population. It should incorporate not only the biological, but even the environmental, social and economic aspects of virus emergencies, towards establishing a suitable framework to deal with possible future pandemics.Understanding factors that drive biodiversity distributions is central in ecology and critical to conservation. Elevational gradients are useful for studying the effects of climate on biodiversity but it can be difficult to disentangle climate effects from resource differences among habitat types. Here we compare elevational patterns and influences of environmental variables on ground-dwelling arthropods in open- and forested-habitats. We examine these comparisons in three arthropod functional groups (detritivores, predators, and herbivores) and two taxonomic groups (beetles and arachnids). We sampled twelve sites spanning 1,132 m elevation and four life zones, collecting 4,834 individual ground arthropods identified to 123 taxa. Elevation was a strong predicator for arthropod composition, however, patterns differed among functional and taxonomic groups and individual species between open- and forested-habitats. Beetles, arachnids, and predators decreased with elevation in open habitats but increased in forests showing a significant interaction between habitat type and elevation. Detritivores and herbivores showed no elevational patterns. We found 11 arthropod taxa with linear elevational patterns, seven that peaked in abundance at high elevations, and four taxa at low elevations. We also found eight taxa with parabolic elevational patterns that peaked in abundance at mid-elevations. We found that vegetation composition and productivity had stronger explanatory power for arthropod composition in forested habitats, while ground cover was a stronger predictor in open habitats. Temperature and precipitation were important in both habitats. Our findings demonstrate that relationships between animal diversity and elevation can be mediated by habitat type, suggesting that physiological restraints and resource limitations work differently between habitat types.Host plant expansion is an important survival strategy for tephritids as they expand their range. this website Successful host expansion requires tephritids to adapt to the chemical and nonchemical properties of a novel host fruit, such as fruit color, phenology, and phytochemicals. These plant properties trigger a series of processes in tephritids, with each process having its own genetic basis, which means that various genes are involved in regulating host plant expansion by tephritids. This review summarizes current knowledge on the categories and roles of genes involved in host plant expansion in several important tephritid species, including genes related to chemoreception (olfactory and gustation), vision, digestion, detoxification, development, ribosomal and energy metabolism. Chemoreception- and detoxification- and digestion-related genes are stimulated by volatile chemicals and secondary chemicals of different hosts, respectively, which are involved in the regulation of nervous signal transduction that triggers behavioral, physical, and chemical responses to the novel host fruit. Vision-, nerve-, and development-related genes and metabolism-associated genes are activated in response to nonchemical stimuli from different hosts, such as color and phenology, to regulate a comprehensive adaptation of the extending host for tephritids. The chemical and nonchemical signals of hosts activate ribosomal and energy-related genes that result in the basic regulation of many processes of host expansion, including detoxification and development. These genes do not regulate novel host use individually, but multiple genes regulate multilevel adaptation to novel host fruits via multiple mechanisms. These genes may also be potential target genes for RNAi-based control of tephritid pests.Endometrial thickness (ENT) measurements are important to evaluate endometrial receptivity. The effect of endometrial thickness on pregnancy outcomes has been discussed for many years with conflicting results. The aim of our study was to find out the effect of endometrial thickness (ENT) change in response to progesterone on pregnancy outcomes in embryo transfer (ET) of fresh oocyte donation (OD) recipients. The study was designed retrospectively including 134 embryo transfers with fresh OD recipients. ENT was measured by ultrasonography (USG) on the day of initial progesterone administration (ENT1) and on ET day (ENT2). The primary outcome was to determine any correlation between the ENT change and pregnancy outcomes. ENT increased in 56.7% of cases and decreased in 43.4%. Clinical pregnancy rate (CPR) in recipients with increased ENT was 76.3%, and live birth rate (LBR) was 72.4%. CPR in recipients with decreased ENT was 69.0% and LBR was 65.5%. There was no significant difference between recipients with eint effect of endometrial thickness change on live birth rate when fresh young donor oocytes are fertilised with sperms having normal parameters, and implanted in oestrogen and progesterone primed endometrium.What are the implications of these findings for clinical practice and/or further research? Measurement of endometrial thickness in patients under infertility treatment provides little benefit to clinical outcomes.

Prion diseases are a group of rare and lethal, rapidly progressive neurodegenerative diseases arising due to conversion of the physiological cellular prion protein into its pathological counterparts, denoted as 'prions.' These agents are resistant to inactivation by standard decontamination procedures and can be transmitted between individuals, consequently driving the irreversible brain damage typical of the diseases.

Since its infancy, prion research has mainly depended on animal models for untangling the pathogenesis of the disease as well as for the drug development studies. With the advent of prion-infected cell lines, relevant animal models have been complemented by a variety of cell-based models presenting a much faster, ethically acceptable alternative.

To date, there are still either no effective prophylactic regimens or therapies for human prion diseases. Therefore, there is an urgent need for more relevant cellular models that best approximate

models. Each cellular model presented and discussed in detail in this review has its own benefits and limitations. Once embarking in a drug screening campaign for the identification of molecules that could interfere with prion conversion and replication, one should carefully consider the ideal cellular model.

To date, there are still either no effective prophylactic regimens or therapies for human prion diseases. Therefore, there is an urgent need for more relevant cellular models that best approximate in vivo models. Each cellular model presented and discussed in detail in this review has its own benefits and limitations. Once embarking in a drug screening campaign for the identification of molecules that could interfere with prion conversion and replication, one should carefully consider the ideal cellular model.

This study is designed to analyse current allocation equity of medical resources in China for a better distribution of medical resources.

Descriptive statistical methods were used to analyse the overall allocation of Traditional Chinese medicine (TCM) resources between 2012 and 2018. Lorentz curve and Gini coefficient were used to quantitatively analyse the fairness of the allocation from the population and geography two dimensions.

This study revealed an increase of TCM resources for the 6-year period, but the fair allocation of these resources was subjected to the methods used. The Gini coefficients were <0.3 based on population distribution but >0.5 basing on the geography allocation.

Population based analysis for the equity of the TCM resource allocation is superior, more attention for health resource planning is needed to focus on geographical fairness in the future, especially for the less populated rural regions.

Population based analysis for the equity of the TCM resource allocation is superior, more attention for health resource planning is needed to focus on geographical fairness in the future, especially for the less populated rural regions.