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Azacitidine for the treatment steroid-refractory persistent graft-versus-host condition: the final results from the stage The second AZTEC clinical study.
These findings suggest coaches may need to reduce the training loads in the next days after the matches played against higher-ranked opponents compared to when facing lower-ranked opponents.A liquid chromatography-high resolution mass spectrometry (LC-HRMS) method was developed and validated for the determination of residual peptide antibiotics (bacitracin A, colistin A and B, enramycin A and B, virginiamycin M1 and S1) in bovine milk. LC-HRMS accurate mass data provided the necessary selectivity and sensitivity to quantitate and identify these important antibiotics in milk at residue levels without extensive sample preparation. Milk samples were extracted using 0.3% formic acid in acetonitrile with 0.06% trifluoroacetic acid added to improve peptide recoveries. Sample clean-up was minimal with an aliquot of the extract evaporated and reconstituted in a formic acid/water-acetonitrile mixture and then filtered. LC separation was performed with 0.3% formic acid in the gradient to improve the peak shape and reproducibility of the peptide analytes. A Quadruple-Orbitrap HRMS instrument with full-scan MS1 data collection followed by all-ion-fragmentation was used to obtain the exact mass of the precursor and confirmatory product ions. One advantage of LC-HRMS is that a combination of multiple precursor ions, including different charge states or adducts, can be used for quantification. The method was validated at four concentration levels ranging from 12.5 to 200 ng/g in three types of bovine milk. For bacitracin A, colistins and enramycins, the average recoveries compared to solvent standards ranged between 70% and 120%. Average recoveries for virginiamycin residues in milk extracts were unacceptably high (up to 138%) using solvent standards, but recoveries using matrix-matched calibration were determined to be 90-115%. Matrix effects were found to be less than 25% for the other analytes when internal standard correction was used for the colistins. Intra-day relative standard deviations were generally below 15%. The method detection limits for the peptide antibiotic residues in milk (0.5 to 5.5 ng/g) were well below regulatory levels of concern.Species of genus Chlamydia are important pathogens of animals, with a worldwide distribution and broad host range. Some species, such as Chlamydia psittaci, also pose a zoonotic disease risk. selleck Abortion is one of the many diseases that has been associated with chlamydial infections in animals, with most attention focused on the economic impacts to sheep production. The role of chlamydia in equine abortions is unknown. Using the family-specific 23S ribosomal RNA (rRNA) Chlamydiaceae real-time PCR, we tested 169 formalin-fixed, paraffin-embedded fetal membrane samples from 162 equine abortion cases collected between 2000 and 2018 in Switzerland. Two equine abortion cases (1.2%) tested positive for Chlamydiaceae. Further analyses by the species-specific 23S rRNA ArrayMate microarray and sequencing of a fragment of the 16S rRNA gene revealed C. abortus and C. psittaci. In both cases, equine herpesvirus 1 was also present, which might have been the abortion cause, alone or in synergy with Chlamydia. The prevalence of abortigenic chlamydial species in equine abortion cases in our study was significantly lower than rates described elsewhere. Zoonotic chlamydial agents present in equine fetal membranes nevertheless should be considered a potential risk to humans during foaling, abortion, or stillbirth.Background No predictive markers for chemotherapy activity have been validated in gastric cancer (GC). The potential value of class III β-tubulin (TUBB3) as biomarker for prognosis and resistance to taxane-based therapy was reported. Methods We analyzed GC samples of patients enrolled in the Intergroup Trial of Adjuvant Chemotherapy in Adenocarcinoma of the Stomach (ITACA-S), a randomized adjuvant study comparing 5-fluorouracil/leucovorin (5-FU/LV) and docetaxel-based sequential chemotherapy. TUBB3 was quantitated by selected reaction monitoring mass spectrometry and patients were stratified using a threshold of 750 attomoles per microgram (amol/µg). Cox proportional modeling and Kaplan-Meier survival analysis were used to assess the impact of TUBB3 expression on overall survival (OS) and disease-free survival. Results Patients with TUBB3 protein levels >750 and less then 750 amol/µg were 21.9% and 78.1%, respectively, and were well-balanced between treatment arms. TUBB3 protein levels were not prognostic. Whereas no survival differences according to the 2 arms were observed in the subgroup with low TUBB3 expression (5-year OS 47% vs 40%; p = 0.44), patients with high TUBB3 had a clinically meaningful poorer OS when receiving docetaxel-based versus 5-FU/LV chemotherapy (5-year OS 31% vs 54%; p = 0.09), with a statistically significant interaction between TUBB3 and treatment (p = 0.049). Conclusions The quantification of TUBB3 might be considered as a negative predictive biomarker of benefit from taxane-based therapy in GC. Studies are needed to evaluate its role in the neoadjuvant setting.Background Minority and low-income patients disproportionately experience dermatologic access challenges. Store-and-forward (SAF) teledermatology has emerged as a model of care delivery that may improve access. We sought to evaluate patterns of utilization and overall impact after SAF teledermatology implementation in a safety-net health care system. Methods We performed a retrospective review of 3,285 teledermatology consultations from 2014 to 2017 in an urban academic safety-net health care system. Results A total of 1,680 (51.2%) patients were referred for inflammatory/rash conditions and 967 (29.5%) for skin lesions. The teledermatologist recommended in-person evaluation in 1,199 encounters (36.5%). Median wait time for a subsequent appointment was 36 days (range 0-244 days). Of subsequent in-clinic visits, 237 patients (26.4%) underwent skin biopsy. No-show rate after referral was 11.8%. In comparison, median wait time for dermatology appointment through standard referral was 64 days, with a no-show rate of 18.6%. Biopsy rate of patients referred via teledermatology was 26.4%, in comparison to a rate of 10.9% of patients referred directly from primary care provider. Discussion Implementation of SAF teledermatology in a safety-net health system resulted in avoidance of 63.5% potential dermatology visits. Consultation typically resulted in a change in suspected diagnosis or management plan. Rates of concordance between teledermatology consults and in-person evaluations were high. Median wait time was reduced by almost half, no-show rate was reduced ∼37%, and biopsy rate was more than double for teledermatology patients compared with standard referral. Conclusion These findings suggest that SAF teledermatology may improve access to high-quality dermatologic care and increase clinic efficiencies for patients in safety-net health care systems.
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