Valorization of the Sabinas Forest Waste (Juniperus phoenicea and Juniperus thurifera) as Source of Biopesticides

Objectives: The potential forestry use of Juniperus phoenicea and Juniperus thurifera pruning woods is studied by analyzing the composition of the woods and testing the biological activities of the corresponding components with the ultimate target of finding new biopesticides. Methods: The air-dried wood from each plant was crushed and subjected to hydrodistillation, and the residue was extracted with a Soxhlet apparatus using different solvents. The corresponding extracts were fractionated, and their composition were studied by gas chromatography-mass spectrometry and nuclear magnetic resonance techniques. The ixodicidal and antifungal activities of the different samples obtained were evaluated. Results: The fraction oxygenated of the essential oil from both J. thurifera (cedrol >60%) and J. phoenicea shows a remarkable bioactivity as antitick with EC50 values of 3.4 μg/mg and 10 μg/mg, respectively. Cedrol and methyl hinokiate, present in the hexane extract J. thurifera, show a potent antifungal effect against Aspergillus niger with EC50 values of 45.99 and 52.23 μg/mL, respectively. Conclusions: Pruning woods from these species proved to be renewable and easily accessible sources of bioactive natural products such as cedrol, thujopsene, nootkatone, and totarol.MINISTERIO de CIENCIA e INNOVACIÓN, PID2019-106222RB-C31/SRA, PID2019-106222RBC32/ SRA (State Research Agency, 10.13039/501100011033)Unidad Asociada UGR-CSIC Bioplaguicidas: Biotecnología, Síntesis y Diversidad químic

Plasma Levels of Middle Molecules to Estimate Residual Kidney Function in Haemodialysis without Urine Collection

© 2015 Vilar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/Licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.BACKGROUND: Residual Kidney Function (RKF) is associated with survival benefits in haemodialysis (HD) but is difficult to measure without urine collection. Middle molecules such as Cystatin C and β2-microglobulin accumulate in renal disease and plasma levels have been used to estimate kidney function early in this condition. We investigated their use to estimate RKF in patients on HD. DESIGN: Cystatin C, β2-microglobulin, urea and creatinine levels were studied in patients on incremental high-flux HD or hemodiafiltration(HDF). Over sequential HD sessions, blood was sampled pre- and post-session 1 and pre-session 2, for estimation of these parameters. Urine was collected during the whole interdialytic interval, for estimation of residual GFR (GFRResidual = mean of urea and creatinine clearance). The relationships of plasma Cystatin C and β2-microglobulin levels to GFRResidual and urea clearance were determined. RESULTS: Of the 341 patients studied, 64% had urine output>100 ml/day, 32.6% were on high-flux HD and 67.4% on HDF. Parameters most closely correlated with GFRResidual were 1/β2-micoglobulin (r2 0.67) and 1/Cystatin C (r2 0.50). Both these relationships were weaker at low GFRResidual. The best regression model for GFRResidual, explaining 67% of the variation, was: GFRResidual = 160.3 · (1/β2m) - 4.2. Where β2m is the pre-dialysis β2 microglobulin concentration (mg/L). This model was validated in a separate cohort of 50 patients using Bland-Altman analysis. Areas under the curve in Receiver Operating Characteristic analysis aimed at identifying subjects with urea clearance≥2 ml/min/1.73 m2 was 0.91 for β2-microglobulin and 0.86 for Cystatin C. A plasma β2-microglobulin cut-off of ≤19.2 mg/L allowed identification of patients with urea clearance ≥2 ml/min/1.73 m2 with 90% specificity and 65% sensitivity. CONCLUSION: Plasma pre-dialysis β2-microglobulin levels can provide estimates of RKF which may have clinical utility and appear superior to cystatin C. Use of cut-off levels to identify patients with RKF may provide a simple way to individualise dialysis dose based on RKF.Peer reviewe