Direct-injection screening for acidic drugs in plasma and neutral drugs in equine urine by differential-gradient LC-LC coupled MS/MS

Direct-injection LC-LC hybrid tandem MS methods have been developed for undertaking broad-based screening for acidic drugs in protein-precipitated plasma and neutral doping agents in equine urine. In both analyses, analytes present in the matrix were trapped using a HLB extraction column before being refocused and separated on a Chromolith RP-18e monolithic analytical column using a controlled differential gradient generated by proportional dilution of the first column's eluent with water. Each method has been optimised by the adoption of a mobile phase and gradient that was tailored to enhance ionisation in the MS source while maintaining good chromatographic behaviour for the majority of the target drugs. The analytical column eluent was fed into the heated nebulizer (HN) part of the Duospray interface attached to a 4000 QTRAP mass spectrometer. Information dependent acquisition (IDA) with dynamic background subtraction (DBS) was configured to trigger a sensitive enhanced product ion (EPI) scan when a multiple reaction monitoring (MRM) survey scan signal exceeded the defined criteria. Ninety-one percent of acidic drugs in protein-precipitated plasma and 80% of the neutral compounds in equine urine were detected when spiked at 10 ng/ml.     

Lipid storage and lipophagy regulates ferroptosis

The synthesis, storage, and degradation of lipids are highly regulated processes. Impaired lipid metabolism is implicated in inflammation and cell death. Although ferroptosis is a recently described form of regulated cell death driven by lipid peroxidation, the impact of lipid droplets on ferroptosis remains unidentified. Here, we demonstrate that lipophagy, the autophagic degradation of intracellular lipid droplets, promotes RSL3-induced ferroptotic cell death in hepatocytes. Lipid droplet accumulation is increased at the early stage but decreased at the late stage of ferroptosis in mouse or human hepatocytes. Importantly, either genetically enhancing TPD52-dependent lipid storage or blocking ATG5-and RAB7A-dependent lipid degradation prevents RSL3-induced lipid peroxidation and subsequent ferroptosis in vitro and in vivo. These studies support an antioxidant role for lipid droplets in cell death and suggest novel strategies for the inhibition of ferroptosis by targeting the lipophagy pathway.     

Genetic Screens Reveal FEN1 and APEX2 as BRCA2 Synthetic Lethal Targets

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Sodium is the critical factor leading to the positive halotropism of the halophyte Limonium bicolor

Previous studies indicate that the roots of nonhalophytes showed negative halotropism to salt stress to avoid salt damage. However, halotropism of euhalophytes and their possible reasons are little known. Limonium bicolor, a typical recretohalophyte with multicellular salt glands, was used to study halotropism compared with Arabidopsis thaliana under NaCl, KCl and Na₂SO₄ stress. The elongation of the roots in L. bicolor was significantly promoted by the appropriate concentrations of NaCl, KCl and Na₂SO₄, but those of A. thaliana was markedly inhibited. However, isosmotic mannitol with 200?mM NaCl did not affect the root growth of both L. bicolor and A. thaliana. The root activity of both L. bicolor and A. thaliana was enhanced by salts. Compared with K⁺, Cl^–, and SO₄^2?, Na⁺ played a critical role in halotropism of L. bicolor. Furthermore, the gravitropic setpoint angle of L. bicolor increased under NaCl, KCl and Na₂SO₄ treatments compared with controls, and the phenomenon was most apparent under NaCl treatments. The endogenous IAA content of the NaCl-treated L. bicolor seedlings was significantly higher than that of the controls. These results suggest that the recretohalophyte L. bicolor has positive halotropism and Na⁺ plays a pivotal role in L. bicolor’s positive root halotropism by regulating IAA.     

Bacterial community dynamics on bats and the implications for pathogen resistance

The bats skin microbiota plays an important role in reducing pathogen infection, including the deadly fungal pathogen Pseudogymnoascus destructans, the causative agent of white-nose syndrome. However, the dynamic of skin bacterial communities response to environmental perturbations remains poorly described. We characterized skin bacterial community over time and space in Rhinolophus ferrumequinum, a species with high resistance to the infection with P. destructans. We collected environmental covariate data to determine what factors influenced changes in community structure. We observed significant temporal and spatial shifts in the skin bacterial community, which was mainly associated with variation in operational taxonomic units. The skin bacterial community differed by the environmental microbial reservoirs and was most influenced by host body condition, bat roosting temperature and geographic distance between sites, but was not influenced by pathogen infection. Furthermore, the skin microbiota was enriched in particular taxa with antifungal abilities, such as Enterococcus, Burkholderia, Flavobacterium, Pseudomonas, Corynebacterium and Rhodococcus. And specific strains of Pseudomonas, Corynebacterium and Rhodococcus even inhibited P. destructans growth. Our findings provide new insights in characterizing the variation in bacterial communities can inform us about the processes of driving community assembly and predict the host's ability to resist or survive pathogen infection.     

Artificial neural networks and decision tree model analysis of liver cancer proteomes

Hepatocellular carcinoma (HCC) is a heterogeneous cancer and usually diagnosed at late advanced tumor stages of high lethality. The present study attempted to obtain a proteome-wide analysis of HCC in comparison with adjacent non-tumor liver tissues, in order to facilitate biomarkers' discovery and to investigate the mechanisms of HCC development. A cohort of 66 Chinese patients with HCC was included for proteomic profiling study by two-dimensional gel electrophoresis (2-DE) analysis. Artificial neural network (ANN) and decision tree (CART) data-mining methods were employed to analyze the profiling data and to delineate significant patterns and trends for discriminating HCC from non-malignant liver tissues. Protein markers were identified by tandem MS/MS. A total of 132 proteome datasets were generated by 2-DE expression profiling analysis, and each with 230 consolidated protein expression intensities. Both the data-mining algorithms successfully distinguished the HCC phenotype from other non-malignant liver samples. The detection sensitivity and specificity of ANN were 96.97% and 87.88%, while those of CART were 81.82% and 78.79%, respectively. The three biological classifiers in the CART model were identified as cytochrome b5, heat shock 70 kDa protein 8 isoform 2, and cathepsin B. The 2-DE-based proteomic profiling approach combined with the ANN or CART algorithm yielded satisfactory performance on identifying HCC and revealed potential candidate cancer biomarkers.