IDENTIFICATION OF SALIVARY PROTEIN PROFILE FOR POTENTIAL MEDICAL APPLICATIONS

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Aditya Mantri, Abirami Arthanari, E. Dilipan
Aditya Mantri, Abirami Arthanari, E. Dilipan

Abstract

Introduction: Saliva, a basic bodily fluid, encompasses a diverse array of proteins originating from various outlets such as salivary glands, bloodstream, and oral tissues. The protein makeup of saliva serves as valuable insight into an individual's well-being, aiding in the prompt identification, assessment, and tracking of numerous health conditions.


Aim: Leveraging the distinctive characteristics of salivary protein profiles to advance medical applications, spanning from diagnosis and monitoring to understanding the root causes of diseases.


Objective: Detecting and analyzing salivary protein patterns to uncover potential biomarkers for early detection and diagnosis.


Materials and methods: Saliva samples were collected through swabbing and drooling methods, followed by centrifugation at 16000 rpm for 15 minutes to separate any debris. The resulting clarified supernatant was preserved at -20°C until needed. Protein concentration or impurity removal prior to subsequent procedures like SDS-PAGE was frequently achieved through protein precipitation using trichloroacetic acid (TCA). Gel imaging, typically facilitated by a gel documentation device or scanner, was employed to record the positions and intensities of protein bands.


Result: Protein profiling and SDS-PAGE analysis reveal the presence of protein bands in both males and females, with higher protein concentration (mg/ml) observed in females compared to males.


Conclusion: The study successfully identified specific salivary proteins that could potentially function as biomarkers for targeted illnesses or conditions.

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How to Cite
E. Dilipan, A. M. A. A., & E. Dilipan, A. M. A. A. (2024). IDENTIFICATION OF SALIVARY PROTEIN PROFILE FOR POTENTIAL MEDICAL APPLICATIONS . Obstetrics and Gynaecology Forum, 34(2s), 537–542. Retrieved from https://obstetricsandgynaecologyforum.com/index.php/ogf/article/view/179
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