Longwooten3216

Overuse of phosphorus (P) fertilizer and the resulting soil P accumulation in vegetable production increases the risk of P runoff and leaching. However, P transformations under continuous fertilization and their effects on environmental risk are unclear. The current study examined the effects of long-term P fertilizer application on P fractions in different soil layers, and assessed the correlations between P fractions and environmental risks in intensive vegetable production in a subtropical region. A total of 32 fields were studied, including 8 uncultivated fields and 24 fields continuously used for vegetable production for 1-3, 4-9, or 10-15 years. The results showed that excessive P fertilizer input caused soil P surpluses ranging from 204.6 to 252.4 kg ha-1 yr-1. Compared to uncultivated fields, vegetable fields contained higher levels of labile P, moderately labile P, sparingly labile P, and non-labile P. The combined percentage of labile P and moderately labile P increased from 55.2% in fields cultivated for 0-3 year to 65.5% in fields cultivated for 10-15 years. The concentrations of soil P fractions were higher at 0-20 cm soil depth than at 20-40 and 40-60 cm soil depth. Soil available P was positively correlated with all soil P fractions except diluted HCl-Pi or concentrated HCl-Po. Long-term vegetable production increased CaCl2-P downward movement, which was positively correlated with levels of labile and moderately labile P. The P index indicated a high risk of P losses from the vegetable fields. The P index was on average 3.27-fold higher in the vegetable fields than in uncultivated fields, and was significantly correlated with soil available P and organic and inorganic P fertilizer input. The environmental risk caused by P in vegetable production should be reduced by reducing P fertilizer input so as to maintain soil available P within an optimal range for vegetable production.Circular bioeconomy is gaining prominence in academic, policy, and industry contexts, linking circular economy and bioeconomy agendas in service of sustainability. However, it is at risk of developing in narrow, unsustainable ways. A sustainable path to circular bioeconomies must embrace diverse expert and stakeholder input, multiple solutions, and noneconomic value.Treatment relapse due to clonal evolution was shown to be an independent factor for poor prognosis in advanced stages of chronic myeloid leukemia. Overcoming secondary resistance arising due to clonal evolution is still an unmet need and lack of adequate pre-clinical models hampers the identification of underlying mechanisms and testing of alternate treatment strategies. The current study thus aimed to create cellular models to study molecular mechanisms underlying clonal evolution and identify strategies to overcome the secondary drug resistance. Analysis of cell lines derived from three independent cell-based screens revealed the co-evolution specifically of imatinib and HSP90 inhibitor (HSP90i) resistances despite their exposure to a single inhibitor alone. Molecular and biochemical characterization of these cell lines revealed additional cytogenetic abnormalities, differential activation of pro-survival signaling molecules and over expression of ABL kinase and HSP90 genes. Importantly, all the imatinib-HSP90i dual resistant cell lines remained sensitive to sorafenib and vorinostat suggesting their utility in treating patients who relapse upon imatinib treatment due to clonal evolution. In addition, we cite similar examples of dual resistance towards various kinase inhibitors and HSP90i in some cell lines that represent solid cancers suggesting co-evolution leading to secondary drug resistance as a pan-cancer phenomenon. Taken together, our results suggest the efficacy of HSP90i in overcoming drug resistance caused by point mutations in the target kinase but not in cases of clonal evolution.

Jiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems.

Data were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015-2019) and Jiangsu Statistical Yearbook (2015-2019). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Jiangsu Province. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation.

From 2014 to 2018, the total amount of health resources in Jiangsu Province increased. The G of primary resource allocation by population remained below 0.15, and that by geograp resources.

The equity of basic medical resources was better than that of financial resources, and the equity of geographical allocation was better than that of population allocation. The overall efficiency of health care resource allocation was high; however, the total factor productivity of the whole province has declined due to technological regression. Jiangsu Province needs to further optimize the allocation and increase the utilization efficiency of health care resources.

Methicillin-resistant Staphylococcus aureus (MRSA) and extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) may complicate the treatment of diabetic foot infections (DFIs). The aim of this study was to determine the risk factors for these pathogens in DFIs.

This was a prospective observational study of 167 consecutive adult patients with DFIs. The diagnosis and severity of DFIs were based on the Infectious Disease Society of America (IDSA) classification system. Multivariate analyses were performed in order to identify risk factors for MRSA and ESBL-E infections.

S. GSK2126458 inhibitor aureus was the most isolated pathogen (n=82, 37.9 %) followed by Escherichia coli (n= 40, 18.5%). MRSA accounted for 57.3% of all S. aureus and 70% of Klebsiella pneumoniae and 25% of E. coli were ESBL producers, respectively. Deep ulcer [OR 8,563; 95% CI (1,068-4,727)], previous use of fluoroquinolones [OR 2,78; 95% CI (1,156-6,685)] and peripheral vasculopathy [OR 2,47; 95% CI (1.068-4.727)] were the independent predictors for MRSA infections; and osteomyelitis [OR 6,351; 95% CI (1,609-25,068)] and previous use of cephalosporins [OR 5,824; 95% CI (1,517-22,361)] for ESBL-E infections.