Keio University · Medicine
Professor Yoshifumi Uwamino's research lab specializes in clinical microbiology and molecular diagnostics, focusing on the development and application of molecular techniques for rapid and accurate detection of infectious diseases. The lab investigates emerging pathogens such as SARS-CoV-2 and *Mycobacterium* species, with particular emphasis on optimizing sample types—like saliva—for safer and more accessible testing. Research also explores host-pathogen interactions, including the role of hormonal factors in disease susceptibility, as seen in studies on postmenopausal women and MAC-LD. The lab is actively advancing molecular diagnostic panels, such as the Myco-Panel, to improve the identification of mycobacterial infections in clinical settings.
Figures are computed from collected data and may differ slightly.
COVID-19 prevalence has increased worldwide. Reverse transcription (RT)-PCR-based SARS-CoV-2 detection has majorly contributed to COVID-19 diagnosis. Although nasopharyngeal swab samples are commonly used for RT-PCR, infection risk is high among the healthcare personnel during sample collection. Saliva, which can be self-collected by patients even at home, has been proposed as a sample for RT-PCR-based SARS-CoV-2 detection, thus potentially reducing the infection risk among healthcare personnel.
Low serum E2 levels were strongly related to MAC-LD in postmenopausal women.
Our results show that H. cinaedi infections are quite common in immunocompetent community-dwelling individuals.
The prevalence of nontuberculous mycobacterial diseases is increasing worldwide, and tuberculosis remains highly prevalent. Rapid and accurate microbial diagnoses of both tuberculosis and nontuberculous mycobacterial infections are required. A novel PCR-reverse sequence-specific oligonucleotide probe (PCR-rSSO) method-based mycobacterial detection panel (Myco-Panel) test was developed for the rapid identification of 30 mycobacterial species and subspecies. Clinical respiratory samples were colle
Open papers in the app to read, cite, and organize with AI.