Atmakuri Shanmukha Ramya1, Divya Uppala2, Sumit Majumdar3, Ch Surekha4, K G K Deepak5. 1. Post Graduate Student, Department of Oral Pathology and Microbiology, Gitam Dental College, Rushikonda, Vishakhapatnam, 530045, India. 2. Assistant Professor, Department of Oral Pathology and Microbiology, Gitam Dental College, Rushikonda, Vishakhapatnam, 530045, India. 3. Professor and Head of the Department, Department of Oral Pathology and Microbiology, Gitam Dental College, Rushikonda, Vishakhapatnam, 530045, India. 4. Associate Professor, Department of Biochemistry, Gitam Institute of Sciences, GITAM Dental College, Rushikonda, Vishakhapatnam, 530045, India. 5. Research Scholar, Department of Biochemistry, Gitam Institute of Sciences, GITAM Dental College, Rushikonda, Vishakhapatnam, 530045, India.
Abstract
BACKGROUND: Saliva, "Mirror of body's health" has long been of particular interest as a substitute for blood for disease diagnosis and monitoring. The radiation effects on salivary glands are of particular interest in which salivary amylase is a good indicator of salivary glands function. Thus, estimation of these parameters represents a reasonable approach in evaluation of patient's risk for disease occurrence, intensity and prognosis. AIM OF STUDY: To evaluate and compare the pH and amylase levels in saliva of cancer patients prior to treatment, patients during treatment. MATERIALS AND METHODS: Saliva samples of 90 individuals were taken which were divided into 3 groups - 30 individuals without cancer, 30 cancer patients prior treatment and 30 cancer patients during treatment. Materials used were pH strips and pH meter, Salivary Amylase assay. RESULTS: Statistical analysis - ANOVA with post-hoc Tukey's test. 1) Significant decrease in salivary amylase levels - in cancer patients, during treatment when compared to others. 2) Significant decrease in salivary pH levels in newly diagnosed cancer patients prior to treatment. CONCLUSION: To conclude, pH strips and pH meter showed to be a useful tool in the measurement of pH of saliva in individuals with and without cancer. This study showed that cancer patients without treatment have a lower pH of saliva. Treatment increased the pH of the saliva to a more alkaline level whereas amylase levels decreased in those subjects. Therefore those parameters can be an area of further research with an increased sample size, which in-turn may help in opening the doors for new dimension in non invasive prognostic markers.
BACKGROUND: Saliva, "Mirror of body's health" has long been of particular interest as a substitute for blood for disease diagnosis and monitoring. The radiation effects on salivary glands are of particular interest in which salivary amylase is a good indicator of salivary glands function. Thus, estimation of these parameters represents a reasonable approach in evaluation of patient's risk for disease occurrence, intensity and prognosis. AIM OF STUDY: To evaluate and compare the pH and amylase levels in saliva of cancerpatients prior to treatment, patients during treatment. MATERIALS AND METHODS: Saliva samples of 90 individuals were taken which were divided into 3 groups - 30 individuals without cancer, 30 cancerpatients prior treatment and 30 cancerpatients during treatment. Materials used were pH strips and pH meter, Salivary Amylase assay. RESULTS: Statistical analysis - ANOVA with post-hoc Tukey's test. 1) Significant decrease in salivary amylase levels - in cancerpatients, during treatment when compared to others. 2) Significant decrease in salivary pH levels in newly diagnosed cancerpatients prior to treatment. CONCLUSION: To conclude, pH strips and pH meter showed to be a useful tool in the measurement of pH of saliva in individuals with and without cancer. This study showed that cancerpatients without treatment have a lower pH of saliva. Treatment increased the pH of the saliva to a more alkaline level whereas amylase levels decreased in those subjects. Therefore those parameters can be an area of further research with an increased sample size, which in-turn may help in opening the doors for new dimension in non invasive prognostic markers.
Authors: Oliver Grundmann; Jamia L Fillinger; Kerton R Victory; Randy Burd; Kirsten H Limesand Journal: BMC Cancer Date: 2010-08-10 Impact factor: 4.430
Authors: Karla Tonelli Bicalho Crosara; David Zuanazzi; Eduardo Buozi Moffa; Yizhi Xiao; Maria Aparecida de Andrade Moreira Machado; Walter Luiz Siqueira Journal: Biomed Res Int Date: 2018-01-31 Impact factor: 3.411
Authors: Julaluk Noiphung; Michael P Nguyen; Chamindie Punyadeera; Yunxia Wan; Wanida Laiwattanapaisal; Charles S Henry Journal: Theranostics Date: 2018-06-13 Impact factor: 11.556
Authors: Giusy Matzeu; Gili R S Naveh; Siddhart Agarwal; Jeffery A Roshko; Nicholas A Ostrovsky-Snider; Bradley S Napier; Fiorenzo G Omenetto Journal: Adv Sci (Weinh) Date: 2021-03-18 Impact factor: 16.806