Literature DB >> 2194274

Unit length as the denominator for quantitation of cell proliferation in nasal epithelia.

T M Monticello1, K T Morgan, M E Hurtt.   

Abstract

Cell proliferation data, generally based on a labeling index (LI), provide a valuable endpoint for assessment of toxic and potentially carcinogenic responses in laboratory animals. Measurement of the LI is time consuming because of the large number of cells that need to be counted to determine the denominator. In respiratory mucosa, the total cell count of the surface epithelia may be altered in response to treatment, either through cell loss or increases in cell number (e.g., hyperplasia). As an alternative to the more conventional LI, the present studies were carried out to assess the value of expressing cell proliferation in nasal epithelia as a unit length labeling index (ULLI), defined as labeled cells per mm of basement membrane. Rats were exposed by inhalation to formaldehyde or methyl bromide, and changes in cell proliferation were determined in the respiratory and olfactory epithelia, respectively, using both total cell count and basement membrane length as denominators. Total cell counts were clearly influenced by treatment, while basement membrane length was not. Both methods revealed similar treatment-induced effects on cell proliferation, and in fact were highly correlated (R greater than or equal to 0.92, p less than 0.001). It was concluded that the ULLI method provides an effective alternative to total cell counts and the LI method. This approach is not influenced by alterations in the total cell population, and has the benefit of being less labor intensive than LI determinations.

Entities:  

Mesh:

Substances:

Year:  1990        PMID: 2194274     DOI: 10.1177/019262339001800104

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  8 in total

Review 1.  DNA-protein crosslinks from environmental exposure: Mechanisms of formation and repair.

Authors:  Yusuke Kojima; Yuichi J Machida
Journal:  Environ Mol Mutagen       Date:  2020-07-09       Impact factor: 3.216

2.  Computer simulation modelling and visualization of 3D architecture of biological tissues. Simulation of the evolution of normal, metaplastic and dysplastic states of the nasal epithelium.

Authors:  C J Clem; J P Rigaut
Journal:  Acta Biotheor       Date:  1995-12       Impact factor: 1.774

Review 3.  Formaldehyde carcinogenicity research: 30 years and counting for mode of action, epidemiology, and cancer risk assessment.

Authors:  James A Swenberg; Benjamin C Moeller; Kun Lu; Julia E Rager; Rebecca C Fry; Thomas B Starr
Journal:  Toxicol Pathol       Date:  2012-11-16       Impact factor: 1.902

4.  Examination of potential mechanisms of carcinogenicity of 1,4-dioxane in rat nasal epithelial cells and hepatocytes.

Authors:  T L Goldsworthy; T M Monticello; K T Morgan; E Bermudez; D M Wilson; R Jäckh; B E Butterworth
Journal:  Arch Toxicol       Date:  1991       Impact factor: 5.153

5.  Uncertainties in biologically-based modeling of formaldehyde-induced respiratory cancer risk: identification of key issues.

Authors:  Ravi P Subramaniam; Chao Chen; Kenny S Crump; Danielle Devoney; John F Fox; Christopher J Portier; Paul M Schlosser; Chad M Thompson; Paul White
Journal:  Risk Anal       Date:  2008-06-28       Impact factor: 4.000

Review 6.  Cell proliferation and nasal carcinogenesis.

Authors:  T M Monticello; E A Gross; K T Morgan
Journal:  Environ Health Perspect       Date:  1993-12       Impact factor: 9.031

7.  Assessing proliferation, cell-cycle arrest and apoptotic end points in human buccal punch biopsies for use as pharmacodynamic biomarkers in drug development.

Authors:  D R Camidge; M N Pemberton; J W Growcott; D Johnstone; P J Laud; J R Foster; K J Randall; A M Hughes
Journal:  Br J Cancer       Date:  2005-07-25       Impact factor: 7.640

8.  Sendai Virus Induces Persistent Olfactory Dysfunction in a Murine Model of PVOD via Effects on Apoptosis, Cell Proliferation, and Response to Odorants.

Authors:  Jun Tian; Jayant M Pinto; Xiaolan Cui; Henghui Zhang; Li Li; Yulong Liu; Chan Wu; Yongxiang Wei
Journal:  PLoS One       Date:  2016-07-18       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.