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Informative Useful resource Evaluate: Breakpoints: Choosing a "BITE" away from prescription antibiotic prescribing: the requirement of anti-microbial stewardship within dentistry.
Transarterial chemoembolization (TACE) has significantly improved overall survival (OS) of unresectable hepatocellular carcinoma (HCC) patients. Unfortunately, a portion of patients show no therapeutic responses to TACE. N6-methyladenosine (m6A) as well as its epigenetic writers, erasers, and readers play a crucial role in HCC development. However, it is still largely unclear how functional small nucleotide polymorphisms (SNPs) in m6A-regulating genes contribute to prognosis of TACE-treated HCC patients. In this study, potential functional SNPs were systematically evaluated to identify their roles in the prognosis of HCC patients after TACE in a Chinese Han population. Employing multiple databases, we successfully annotated 55 candidate SNPs. After genotyping these SNPs in our TACE cohort, we identified three genetic variants in YTHDC2 (rs6594732, rs10071816, and rs2303718) and one SNP in FTO (rs7202116) having statistically significant associations with the OS of HCC patients treated with TACE. For example, multivariate Cox proportional hazards model indicated that the rs7202116 GG genotype carriers had markedly shorter OS and an 87% increased death risk compared with the AA carriers after TACE therapy (P = 0.002). When investigating functional relevance of these SNPs, we observed an allelic regulation of rs7202116 on FTO expression in HCC tissue samples, with higher tumor suppressor FTO expression among the A allele carriers. Our findings reported the first evidence supporting the prognostic value of m6A reader YTHDC2 and m6A eraser FTO SNPs in TACE-treated HCC patients. Importantly, our data implicated that m6A-regulating genes may be targets to improve therapeutic strategy for unresectable HCC patients.Mycotoxins and pesticides regularly co-occur in agricultural products worldwide. Thus, humans can be exposed to both toxic contaminants and pesticides simultaneously, and multi-methods assessing the occurrence of various food contaminants and residues in a single method are necessary. A two-dimensional high performance liquid chromatography tandem mass spectrometry method for the analysis of 40 (modified) mycotoxins, two plant growth regulators, two tropane alkaloids, and 334 pesticides in cereals was developed. After an acetonitrile/water/formic acid (79201, v/v/v) multi-analyte extraction procedure, extracts were injected into the two-dimensional setup, and an online clean-up was performed. The method was validated according to Commission Decision (EC) no. 657/2002 and document N° SANTE/12682/2019. Good linearity (R2 > 0.96), recovery data between 70-120%, repeatability and reproducibility values less then 20%, and expanded measurement uncertainties less then 50% were obtained for a wide range of analytes, including very polar substances like deoxynivalenol-3-glucoside and methamidophos. However, results for fumonisins, zearalenone-14,16-disulfate, acid-labile pesticides, and carbamates were unsatisfying. Limits of quantification meeting maximum (residue) limits were achieved for most analytes. Matrix effects varied highly (-85 to +1574%) and were mainly observed for analytes eluting in the first dimension and early-eluting analytes in the second dimension. The application of the method demonstrated the co-occurrence of different types of cereals with 28 toxins and pesticides. Overall, 86% of the samples showed positive findings with at least one mycotoxin, plant growth regulator, or pesticide.In 2018, AOAC International issued Standard Method Performance Requirements (SPMR) 2018.010 - Screening and Identification Method for Regulated Veterinary Drug Residues in Food. In response, we compared 4 different multiresidue methods of sample preparation using the same analytical method entailing ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Tilapia was chosen for testing, and the analytes and monitoring levels were from SPMR 2018.010. The methods consist of efficient procedures with published validation results from the US Department of Agriculture (USDA), Food and Drug Administration (FDA), and Canadian Food Inspection Agency (CFIA), and an enhanced-matrix removal (EMR)-Lipid protocol from China. Each method was used to prepare 102 final extracts of tilapia spiked or not at different levels with the 78 targeted analytes plus metabolites. The same FDA/USDA rules of mass spectral identification were employed in all analyses to assess rates of false positives and negatives. Quantitative accuracy of the methods was also compared in terms of recoveries and reproducibility of spiked tilapia, incurred catfish, and spiked and certified reference material of bovine muscle. Each method yielded generally acceptable results for the targeted veterinary drugs, but the USDA "extract & inject" method was the fastest, simplest, and cheapest to achieve equally or more acceptable results for the widest scope of analytes for the tested food matrices.The headspace volatile organic compound (VOC) fingerprints (volatilome) of French wine brandies were investigated by proton transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS). Protonated ethanol chemical ionization was used with dedicated experimental conditions that were previously validated for model wines. These included a reference vial containing a hydro-alcoholic solution with the same ethanol content (20% v/v) as the diluted sample spirits, which was used to establish steady-state ionization conditions. A low electric field strength to number density ratio E/N (85 Td) was used in the drift tube in order to limit the fragmentation of the protonated analytes. The obtained headspace fingerprints were used to investigate the origin of French brandies produced within a limited geographic production area. Brandies of two different vintages (one freshly distilled and one aged for 14 years in French oak barrels) were successfully classified according to their growth areas using unsupervised (principal component analysis, PCA) and supervised (partial least squares regression discriminant analysis, PLS-DA) multivariate analyses. learn more The models obtained by PLS-DA allowed the identification of discriminant volatile compounds that were mainly characterised as key aroma compounds of wine brandies. The discrimination was supported by sensory evaluation conducted with free sorting tasks. The results showed that this ethanol ionization method was suitable for direct headspace analysis of brandies. They also demonstrated its ability to distinguish French brandies according to their growth areas, and this effect on brandy VOC composition was confirmed at a perceptive level.
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