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1.
Neurourol Urodyn ; 40(1): 137-146, 2021 01.
Article in English | MEDLINE | ID: mdl-33606304

ABSTRACT

AIMS: To investigate the effect of losartan on preventing bladder fibrosis and protecting renal function in rats with neurogenic paralysis bladder (NPB). MATERIALS AND METHODS: Rats were assigned to the transecting spinal nerves group (TSNG), transecting spinal nerves + losartan group (LSTG), and control group (CG). On Day 32 postsurgery, bladder capacity (BC), bladder compliance (ΔC), bladder leakage pressure (Pves.leak ) of TSNG and LSTG while BC, ΔC, and bladder threshold pressure (Pves.thre ) of CG were measured by cystometry in each cohort. Renal function and the expression quantity of Angiotensin Ⅱ (Ang II) in blood were detected, in addition Ang II, Ang II Type 1 receptor (AT1), transformation growth factor ß1 (TGFß1), Collagen Ⅲ, and collagen fibrin in the bladder tissue were detected too. RESULTS: ΔC in TSNG and LSTG decreased significantly compared to the CG. Pves.leak in TSNG and LSTG were significantly higher than Pves.thre in CG. Renal function of both TSNG and LSTG decreased significantly compared with the CG, but renal function in LSTG was better than in TSNG. Ang Ⅱ in blood and bladder tissue in TSNG and LSTG increased significantly compared with CG. AT1 was expressed in the bladder tissue of all rats. The TGFß1, Collagen Ⅲ, and collagen fibrin expression level increased significantly in TSNG compared with LSTG and CG, while these levels were not significantly different between CG and LSTG. CONCLUSION: Losartan might prevent NPB fibrosis by stopping the upregulated signaling of Ang II/AT1/TGFß1 and consequently may reduce kidney damage from occurring.


Subject(s)
Angiotensin II Type 1 Receptor Blockers/therapeutic use , Fibrosis/drug therapy , Losartan/therapeutic use , Urinary Bladder, Neurogenic/drug therapy , Urinary Bladder/drug effects , Angiotensin II Type 1 Receptor Blockers/pharmacology , Animals , Disease Models, Animal , Losartan/pharmacology , Male , Rats , Rats, Sprague-Dawley
2.
PLoS One ; 5(12): e15270, 2010 Dec 13.
Article in English | MEDLINE | ID: mdl-21179450

ABSTRACT

Perceived facial age has been proposed as a biomarker of ageing with 'looking young for one's age' linked to physical and cognitive functioning and to increased survival for Caucasians. We have investigated the environmental and lifestyle factors associated with perceived facial ageing in Chinese women. Facial photographs were collected from 250 Chinese women, aged 25-70 years in Shanghai, China. Perceived facial age was determined and related to chronological age for each participant. Lifestyle and health information was collected by questionnaire. Bivariate analyses (controlling for chronological age) identified and quantified lifestyle variables associated with perceived facial age. Independent predictors of perceived age were identified by multivariate modelling. Factors which significantly associated with looking younger for one's chronological age included greater years of education (p<0.001), fewer household members (p=0.027), menopausal status (p=0.020), frequency of visiting one's doctor (p=0.013), working indoors (p<0.001), spending less time in the sun (p=0.015), moderate levels of physical activity (p=0.004), higher frequency of teeth cleaning (p<0.001) and more frequent use of facial care products: cleanser (p<0.001); moisturiser (p=0.016) or night cream (p=0.016). Overall, 36.5% of the variation in the difference between perceived and chronological age could be explained by a combination of chronological age and 6 independent lifestyle variables. We have thus identified and quantified a number of factors associated with younger appearance in Chinese women. Presentation of these factors in the context of facial appearance could provide significant motivation for the adoption of a range of healthy behaviours at the level of both individuals and populations.


Subject(s)
Environment , Life Style , Perception , Adult , Age Factors , Aged , Aging/psychology , China , Female , Humans , Middle Aged , Pattern Recognition, Visual , Regression Analysis , Skin/pathology
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