A flax-retting endopolygalacturonase-encoding gene from Rhizopus oryzae

A polygalacturonase from the filamentous fungus Rhizopus oryzae strain sb (NRRL 29086), previously shown to be effective in the retting of flax fibers, was shown by the analysis of its reaction products on polygalacturonic acid to be an endo-type. By zymogram analysis, the enzyme in the crude culture filtrate appeared as two active species of 37 and 40 kD. The endopolygalacturonase-encoding gene was cloned in Escherichia coli and its translated 383-amino acid sequence found to be identical to that of a presumed exopolygalacturonase found in R. oryzae strain YM9901 and 96% identical to a hypothetical protein (RO3G_04731.1) in the sequenced genome of R. oryzae strain 99-880. Phylogenetic analysis revealed the presence of an unique cluster of Rhizopus polygalacturonase sequences that are separate from other fungal polygalacturonases. Conservation of 12 cysteines appears to be a special feature of this family of Rhizopus polygalacturonase sequences.NRC publication: Ye

Effect of blood pressure index on clinical outcomes in patients with heart failure and chronic kidney disease

Abstract Aims This study aimed to assess the effect of blood pressure (BP) index, in terms of level and variability, on the progression of cardiovascular and renal diseases in patients with both heart failure (HF) and chronic kidney disease (CKD). Methods and results The study involved patients with HF and CKD from the database of the Chronic Renal Insufficiency Cohort (CRIC) study. The study endpoint includes the following: (i) primary endpoint, including cardiovascular disease (CVD) events, renal events, and all‐cause death; (ii) CVD events; (iii) renal events; and (iv) all‐cause death. Among 3939 participants in the CRIC study, a total of 382 patients were included. The duration of the follow‐up was 6.3 ± 2.7 years, the age was 60.2 ± 8.9 years, and 57.6% were male. BP index included 20 indicators in relation to BP level and variability, 4 of which were analysed including baseline systolic BP (SBP), standard deviation of SBP, coefficient of variation of diastolic BP (DBP CV), and average real variability of pulse pressure. In the Cox regression analysis after adjustment, baseline SBP was significant for the risk of primary endpoint [hazard ratio (HR) 1.22, 95% confidence interval (CI) 1.03–1.44, P = 0.02] and renal events (HR 1.54, 95% CI 1.22–1.95, P < 0.001), and DBP CV was significant for the risk of primary endpoint (HR 1.03, 95% CI 1.01–1.06, P = 0.02) and CVD events (HR 1.04, 95% CI 1.02–1.07, P < 0.01). The result of the forest plot depicted that baseline SBP had a linear association with the risk of CVD and renal events (P = 0.04 and 0.001, respectively) and DBP CV with CVD events (P = 0.02). As the restricted cubic spline models displayed, DBP CV featured a J‐ or L‐curved association with the primary endpoint, renal events, and all‐cause death (P for nonlinearity = 0.01, <0.001, and 0.01, respectively). Conclusions The baseline SBP and DBP CV may remain significant for clinical outcomes in patients with both HF and CKD. The increase in baseline SBP is associated with a higher risk of primary endpoint, CVD events, and renal events, and the increase in DBP CV with a higher risk of CVD events. Concerning nonlinear association, DBP CV features a J‐ or L‐curved relationship with the primary endpoint, renal events, and all‐cause death, with a higher risk at both low and high values. Trial registration: https://www.clinicaltrials.gov; unique identifier: NCT00304148

Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study

Abstract Background The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear. Methods This study enrolled 317 patients with moderate to severe AS at the First Affiliated Hospital of Sun Yat-Sen University. The patients were grouped according to the cut-off value of the TyG index. Cox regression with Firth’s penalized maximum likelihood method and restricted cubic splines regression were conducted to assess the association between the TyG index and all-cause mortality. The added value of the TyG index included in the traditional risk factors model for outcome prediction was also analyzed. Results Among 317 patients (mean age 67.70 years, 62.8% male), there was 84 all-cause mortality during a median 38.07 months follow-up. After fully adjusting for confounders, a per-unit increase in the TyG index was associated with a 62% higher all-cause mortality risk (HR 1.622, 95% CI 1.086–2.416, p = 0.018). The restricted cubic splines regression model revealed a linear association between the TyG index and the risk of all-cause mortality (p for nonlinearity = 0.632). The addition of the TyG index in the basic risk model has an incremental effect on the prediction of mortality [C-statistic change from 0.755 to 0.768; continuous net reclassification improvement (95% CI): 0.299 (0.051–0.546), p = 0.017; integrated discrimination improvement: 0.017 (0.001–0.033), p = 0.044]. Conclusions Higher IR assessed by the TyG index was associated with a higher risk of all-cause mortality in patients with moderate and severe AS