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Kazuhiro Tateda

Researcher at Toho University

Publications -  61
Citations -  3058

Kazuhiro Tateda is an academic researcher from Toho University. The author has contributed to research in topics: Pseudomonas aeruginosa & Legionella pneumophila. The author has an hindex of 27, co-authored 61 publications receiving 2838 citations. Previous affiliations of Kazuhiro Tateda include University of Tokyo.

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Immunochromatographic test for the detection of SARS-CoV-2 in saliva.

TL;DR: In this paper, the rapid immunochromatographic test for severe acute respiratory coronavirus 2 (SARS-CoV-2) antigen detection using 16 saliva specimens collected from 6 COVID-19 hospitalized patients, and detected N-antigen in 4 of 7 RT-PCR positive specimens.
Journal Article

In vitro combination effects of aztreonam and aminoglycoside against multidrug-resistant Pseudomonas aeruginosa in Japan.

TL;DR: In this paper, the authors evaluated the in vitro combination effects of aztreonam (AZT) and aminoglycosides against multidrug-resistant (MDR) Pseudomonas aeruginosa strains in Japan.
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Legionella pneumophila Evades Gamma Interferon-Mediated Growth Suppression through Interleukin-10 Induction in Bone Marrow-Derived Macrophages

TL;DR: The results suggest that L. pneumophila modulates the cytokine balance from IFN-γ-driven Th1 to more Th2 responses, likely through the induction of IL-10 by a bacterial protein component(s).
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Evaluation of antimicrobial susceptibility for β-lactams using the Etest method against clinical isolates from 100 medical centers in Japan (2006)

TL;DR: The proportion of strains resistant to beta-lactam antimicrobials has been decreasing compared with data from 2004, suggesting that reduced consumption of beta- lactams has reflected the decreased rates of resistant bacterial isolates in Japan.
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Identification of biochemically atypical Staphylococcus aureus clinical isolates with three automated identification systems.

TL;DR: This study shows that it is possible to identify these physiologically atypical S. aureus isolates correctly by using the Phoenix and AutoScan-4 fully automatic identification systems.