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  • 1
    In: Journal of the Renin-Angiotensin-Aldosterone System, SAGE Publications, Vol. 13, No. 1 ( 2012-03), p. 56-66
    Abstract: Spironolactone (SPR), a mineralocorticoid receptor blocker, diminishes hyperglycemia-induced reduction in glucose-6-phosphate dehydrogenase (G6PD) activity, improving oxidative stress damage. This study investigated whether SPR ameliorates nephropathy by increasing G6PD activity and reducing oxidative stress in spontaneously hypertensive diabetic rats (SHRs). The streptozotocin-induced diabetic rats received or not SPR 50 mg/kg per day, for eight weeks. A human mesangial cell line was cultured in normal or high glucose conditions, with or without SPR, for 24 h. Plasma glucose levels and systolic blood pressure were unaltered by diabetes or by SPR treatment. Albuminuria, fibronectin expression, 8-OHdG urinary levels, lipid peroxidation and p47phox expression were higher in the diabetic rats compared with the control and were reduced by SPR. The antioxidant GSH/GSSG ratio was reduced in the diabetic rats and the treatment reestablished it. Diabetes-induced SGK1 up-regulation was inhibited by SPR. Reactive oxygen species (ROS) and superoxide production induced by NADPH oxidase were increased by hyperglycemia and high glucose, in vivo and in vitro, respectively, and were reduced with SPR. Hyperglycemia and high glucose decreased G6PD activity, which was restored with SPR. These results suggest that SPR ameliorates nephropathy in diabetic SHRs by restoring G6PD activity and diminishes oxidative stress without affecting glycaemia and blood pressure.
    Type of Medium: Online Resource
    ISSN: 1470-3203 , 1752-8976
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 2261873-9
    detail.hit.zdb_id: 2086948-4
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Structural Health Monitoring Vol. 22, No. 2 ( 2023-03), p. 1376-1398
    In: Structural Health Monitoring, SAGE Publications, Vol. 22, No. 2 ( 2023-03), p. 1376-1398
    Abstract: The use of structural health monitoring (SHM) systems on a regular basis is critical to achieve early damage detection, avoid unpredicted failures, and perform cost-effective maintenance planning. The main objective of this work is to present a model-based Damage Detection Framework for truss structural systems that uses output-only vibration measurements. Model-based methods provide much more comprehensive information about the condition of the monitored system than the data-driven and also allow the prediction of the location and level of damage. The measured vibration response of a healthy structural system under operational vibrations is employed to tune a parameterized FE model using state-of-the-art FE model updating techniques to obtain an optimal numerical model of the structural system. Based on the optimal FE model, a set of damaged FE models is generated for selected damage scenarios. A damage approximation approach that represents local damage with uniform stiffness reduction is also presented. In the Damage Detection Framework, the vibration data records for both the “healthy” and the “damaged” structure and the results from multiple numerical analysis on the “healthy” and the “damaged” FE models are used. The transmittance functions for the “healthy” and “damaged” states of the structure and the FE models are derived to calculate the damage indicators. Using these indicators, potentially damaged structural members are identified, grouped, and compared to finally locate the specific damaged member. The proposed framework provides both accurate damage localization and damage quantification using a limited number of sensors for unknown input excitation. Herein, the case study used is a laboratory steel truss bridge.
    Type of Medium: Online Resource
    ISSN: 1475-9217 , 1741-3168
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2280692-1
    detail.hit.zdb_id: 2101420-6
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  • 3
    In: Structural Health Monitoring, SAGE Publications, Vol. 18, No. 4 ( 2019-07), p. 1189-1206
    Type of Medium: Online Resource
    ISSN: 1475-9217 , 1741-3168
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2280692-1
    detail.hit.zdb_id: 2101420-6
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