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Two type strains, namely C. laharis CCUG 53908T and C. LOXO-195 oxalaticus JCM 11285T reduced the genotoxicity of AFB1, whilst C. basilensis DSM 11853T decreased the oestrogenic of ZON. There were strains which were able to biodegrade more than two mycotoxins. Two strains degraded two mycotoxins, namely C. metalliduriens CCUG 13724T (AFB1, T-2) and C. oxalaticus (AFB1, ZON) whilst two strains C. pinatubonensis DSM 19553T and C. basilensis degraded three toxins (ZON, OTA, T-2) and C. numazuensis DSM 15562T degraded four mycotoxins (AFB1, ZON, OTA, T-2), which is unique a phenomenon amongst bacteria.Shiga toxin-producing Escherichia coli (STEC) are zoonotic food pathogens associated with foodborne diarrheal illness, hemorrhagic colitis, and complications such as hemolytic uremic syndrome (HUS). The ability to adhere to epithelial cells is an important virulence trait, and pathogenicity islands (PAIs) play an important role on it. Some STEC carrying a PAI named locus of enterocyte effacement (LEE-positive) have been frequently associated to HUS; however, STEC that do not carry LEE (LEE-negative) have also been associated with this outcome. The burden of disease caused by LEE-negative STEC has increased recently in several countries like Argentina, Chile, and Paraguay. A new PAI -the Locus of Adhesion and Autoagregation (LAA)-has been associated to severe disease in humans. In this study, we aimed to analyze the distribution of LAA and its possible predictor, the gene hes, in LEE-negative STEC strains isolated from Chile and Paraguay from different sources. The presence of the different LAA modules and hes were detected by PCR. LAA was found in 41.6% and 41.0% of strains isolated from Chile and Paraguay, respectively. Strains were isolated from diverse origins and belonged to several serogroups including O91, O103, and O113. The hes gene was detected in 50% of the isolates from Paraguay and Chile. Therefore, the detection of LAA and hes in STEC could complement current genetic evaluation schemes, allowing to classify LEE negative STEC strains as LAA-positive or LAA-negative STEC strains.Purpose Exosome-derived long non-coding RNAs (lncRNAs) as novel biomarkers are widely investigated in various cancers, yet results remain controversial. The aim of this meta-analysis was to clarify the diagnostic and prognostic value of exosome-derived lncRNAs in cancer. Methods PubMed, Web of Science, EMBASE, CNKI, and WanFang online databases were comprehensively searched for eligible studies up to January, 2020. To evaluate the diagnostic effect, sensitivity, specificity, and area under the curve (AUC) were pooled. Threshold effect, subgroup analysis, and meta-regression were applied to explore heterogeneity. Deeks' funnel plot and sensitivity analysis were used to examine publication bias and stability of meta-analysis, respectively. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) and recurrence free survival (RFS) were calculated to assess the prognostic value. Results A total of 29 eligible studies involving 3882 patients were enrolled in the meta-analysis, wfurther confirmed.Heart failure (HF) with mid-range left ventricular ejection fraction (LVEF) (HFmrEF) is considered a new category of HF and LVEF less then 50%, which is the upper threshold of LVEF for HFmrEF, is thought to represent a mild decrease in LV contractile performance. We aimed to consider an LVEF threshold value to be taken as a surrogate for impairment of LV contractile performance, resulting in new-onset HF. We enrolled 398 patients with LVEF ≥ 40% that underwent cardiac catheterization. Using the LV pressure recording with a catheter-tipped micromanometer, we calculated the inertia force of late systolic aortic flow (IFLSAF), which was sensitive to the slight impairment in LV contractile performance. We evaluated the utility of the IFLSAF for predicting future cardiovascular death or hospitalization for HF. We performed a receiver operating characteristic (ROC) curve analysis to determine the best LVEF threshold value for distinguishing whether the LV maintained the IFLSAF. A multivariate Cox proportional-hazards model revealed that the loss of IFLSAF was significantly associated with the future adverse events (HR 7.798, 95%CI 2.174-27.969, p = 0.002). According to the ROC curve analysis, an LVEF ≥ 58% indicated that the LV could maintain the IFLSAF. We concluded that the loss of IFLSAF, which could reflect even slight impairment in LV contractile performance, was a reliable indicator for new-onset HF in patients with LVEF ≥ 40%. LVEF ≥ 58% could be taken as a surrogate for the IFLSAF maintenance; this threshold could be useful for risk stratification of new-onset HF in patients with preserved LVEF.Background The LACE index scoring tool (Length of stay, Acuity of admission, Co-morbidities and Emergency department visits) has been designed to predict hospital readmissions. We evaluated the ability of the LACE index to predict age-specific frequent admissions and mortality. Methods Analysis of prospectively collected data of alive-discharge episodes between 01/04/2017 and 31/03/2019 in an NHS hospital. Data on 14,878 men and 17,392 women of mean age 64.0 years, SD = 20.5, range 18.0-106.7 years were analysed. The association of the LACE index with frequency of all-cause readmissions within 28 days of discharge and over a 2-year period, and with all-cause mortality within 30 days or within 6 months after discharge from hospital were evaluated. Results Within LACE index scores of 0-4, 5-9 or ≥ 10, the proportions of readmission ≥ 2 times within 28 days of discharge were 0.1, 1.3 and 9.2% (χ2 = 3070, p less then 0.001) and over a 2-year period were 1.7, 4.8 and 19.1% (χ2 = 3364, p less then 0.001). Compared with a LACE index score of 0-4, a score ≥ 10 increased the risk (adjusted for age, sex and frequency of admissions) of death within 6 months of discharge by 6.8-fold (5.1-9.0, p less then 0.001) among all ages, and most strongly in youngest individuals (18.0-49.9 years) adjusted odds ratio = 16.1 (5.7-45.8, p less then 0.001). For those aged 50-59.9, 60-69.9, 70-79.9 and ≥ 80 years, odds ratios reduced progressively to 9.6, 7.7, 5.1 and 2.3, respectively. Similar patterns were observed for the association of LACE index with mortality within 30 days of hospital discharge. Conclusions The LACE index predicts short-term and long-term frequent admissions and short-term and medium-term mortality, most pronounced among younger individuals, after hospital discharge.