EVALUATION OF METAGENOMICS NEXT-GENERATION SEQUENCING AS A DIAGNOSTIC TOOL FOR INFLUENZA VIRUS-POSITIVE RESPIRATORY SAMPLES IN RETIRED FITNESS PLAYERS

Abstract

The use of Metagenomics Next-Generation Sequencing (mNGS) as a diagnostic tool for respiratory infections, particularly in the context of retired fitness players, presents a novel avenue for optimizing healthcare and wellness in this unique population. Respiratory illnesses, including influenza, can have profound effects on the health and performance of retired athletes, making accurate and timely diagnosis paramount.

In this study, we aimed to assess the applicability of mNGS in diagnosing influenza virus infections in retired fitness players. We collected and analyzed respiratory samples from this specific cohort, leveraging mNGS technology. Our research focused on evaluating mNGS's potential as a diagnostic tool compared to conventional methods.

Our findings underscored the remarkable capabilities of mNGS. When compared to traditional diagnostic techniques, mNGS demonstrated superior sensitivity in detecting influenza virus-positive respiratory samples in retired fitness players. Additionally, mNGS facilitated the identification of not only known influenza strains but also previously undetected viral variants, offering a comprehensive view of the viral landscape.

The utilization of mNGS as a diagnostic tool in the care of retired fitness players holds great promise in enhancing their health monitoring and overall well-being. This technology can aid in the early detection and precise characterization of respiratory infections, contributing to the timely implementation of targeted interventions and improving the quality of healthcare for this unique and health-conscious population