Literature DB >> 1378909

Quantitative morphometry of the adult human bladder.

H Lepor1, I Sunaryadi, V Hartanto, E Shapiro.   

Abstract

The primary objective of the present retrospective study was to characterize the effects of aging and BPH on bladder morphometry. Eighty-six bladder specimens were obtained from the autopsy archives of the Milwaukee County Medical Complex. The bladder specimens were divided into 4 groups based upon age and gender: Group I: males between the ages of 35-45 years; Group II: males between the ages of 65-75 years; Group III: females between the ages of 35-45 years; and Group IV: females between the ages of 65-75 years. The age groups were selected in order to identify a group of males with and without BPH. The area density of smooth muscle:connective tissue was determined in bladder specimens using color assisted computer image analysis. Masson-trichrome and double immunoenzymatic staining techniques were used to discriminate the smooth muscle and connective tissue elements of the bladder. The area density of smooth muscle:connective tissue in the Masson-trichrome stained sections was significantly greater in Group I vs. Group II (2.90 +/- 0.22 vs. 2.33 +/- 0.16) and in Group III vs. Group IV (2.85 +/- 0.13 vs. 2.03 +/- 0.20). Aging was associated with a decrease in the area density of smooth muscle:connective tissue ratio in both males and females. The area density of smooth muscle:connective tissue was not significantly different in younger males and females (Group I vs. Group III) and older males and females (Group II vs. Group IV). The present morphometric study suggests that aging and not BPH, is associated with a relative increase in detrusor fibrosis. Infravesical obstruction in BPH may effect bladder function via mechanisms unrelated to the histologic composition of the bladder.

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Year:  1992        PMID: 1378909     DOI: 10.1016/s0022-5347(17)36619-3

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  19 in total

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Authors:  Florenta Aura Kullmann; Lori Ann Birder; Karl-Erik Andersson
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2.  The aging bladder.

Authors:  M B Siroky
Journal:  Rev Urol       Date:  2004

3.  A new look at detrusor underactivity: impaired contractility versus afferent dysfunction.

Authors:  Anne M Suskind; Phillip P Smith
Journal:  Curr Urol Rep       Date:  2009-09       Impact factor: 3.092

4.  Cerebral White Matter Disease and Response to Anti-Cholinergic Medication for Overactive Bladder in an Age-Matched Cohort.

Authors:  David Sheyn; Sangeeta T Mahajan; Adonis Hijaz; Emily Slopnick; Graham Chapman; Sherif El-Nashar; Jeffrey M Mangel
Journal:  Int Urogynecol J       Date:  2019-05-31       Impact factor: 2.894

5.  The Aging Overactive Bladder: A Review of Aging-Related Changes from the Brain to the Bladder.

Authors:  Anne M Suskind
Journal:  Curr Bladder Dysfunct Rep       Date:  2017-02-06

Review 6.  Contemporary concepts in the aetiopathogenesis of detrusor underactivity.

Authors:  Nadir I Osman; Christopher R Chapple
Journal:  Nat Rev Urol       Date:  2014-10-21       Impact factor: 14.432

7.  Clinical Correlation of Bladder Electron Microscopic Characteristics in Patients with Detrusor Underactivity of Various Etiologies.

Authors:  Jia-Fong Jhang; Han-Chen Ho; Yuan-Hong Jiang; Yung-Hsiang Hsu; Hann-Chorng Kuo
Journal:  Biomedicines       Date:  2022-05-03

8.  Mechanisms of Lower Urinary Tract Symptoms in Pelvic Ischemia.

Authors:  Kazem M Azadzoi; Mike B Siroky
Journal:  J Biochem Pharmacol Res       Date:  2013

9.  [Analysis of urodynamic study of female outpatients with lower urinary tract symptoms and follow-up of the patients with detrusor underactive].

Authors:  W Y Zhang; Q X Xia; H Hu; J W Chen; Y R Sun; K X Xu; X P Zhang
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-10-18

10.  CXC-type chemokines promote myofibroblast phenoconversion and prostatic fibrosis.

Authors:  Mehrnaz Gharaee-Kermani; Sathish Kasina; Bethany B Moore; Dafydd Thomas; Rohit Mehra; Jill A Macoska
Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

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