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Isolation, Processing and Analysis of Murine Gingival Cells
Published on: July 2, 2013
Quantitative cytomorphometric analysis of exfoliated normal gingival cells
Punit Vaibhav Patel1, Sheela Kumar, Veerendra Kumar
1Department of Periodontology, JSS Dental College and Hospital, Contituent College of JSS University, Mysore - 15, Karnataka, India.
Journal of Cytology
|June 30, 2011
Summary
Oral exfoliative cytology requires baseline data. This study found significant age and sex differences in nuclear and cytoplasmic areas and the nuclear:cytoplasmic ratio in normal gingival cells.
Area of Science:
- Oral exfoliative cytology
- Biomarkers in oral health
- Quantitative cytology
Background:
- Oral exfoliative cytology is crucial for diagnosing oral abnormalities.
- Establishing a baseline for normal oral tissue is essential for comparison.
- Understanding variations in normal cells aids in detecting pathological changes.
Purpose of the Study:
- To determine age and sex-related changes in nuclear area (NA), cytoplasmic area (CA), and nuclear:cytoplasmic ratio (N:C ratio) in healthy gingival smears.
- To establish a baseline for quantitative cytological parameters in a healthy population.
Main Methods:
- Collected gingival smears from 80 healthy individuals (40 male, 40 female) across four age groups.
- Utilized Papanicolaou staining and image analysis software for measuring NA and CA.
- Performed statistical analysis using ANOVA and Student's t-test to assess differences.
Main Results:
- Significant age-related differences in NA, CA, and N:C ratio were observed in both males and females (P<0.001).
- Significant sex-related differences in NA, CA, and N:C ratio were found across all age groups (P<0.001).
- Overall age irrespective of gender showed significant differences in NA, CA, and N:C (P<0.05).
Conclusions:
- Age and sex significantly influence cytomorphometric parameters in normal gingival cells.
- These findings provide a crucial baseline for interpreting cytological changes in oral premalignant and malignant lesions.
- Quantitative analysis of gingival smears can reveal subtle alterations related to demographic factors.

