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1 nent component of this group was Haemophilus parainfluenzae.
2 eria and Veillonella species and Haemophilus parainfluenzae.
3 sthmatic airway macrophages with Haemophilus parainfluenzae, a uniquely expanded potential pathogen f
4 gy for the identification of 103 Haemophilus parainfluenzae, Aggregatibacter aphrophilus, Aggregatiba
5 examine the possible interaction between H. parainfluenzae and its close relative Haemophilus influe
6 rial persistence and biofilm formation by H. parainfluenzae and knowledge about the survival defects
7 rrelated with opportunistic taxa Haemophilus parainfluenzae and Porphyromonas catoniae at multiple ti
10 l-typical Veillonella dispar and Haemophilus parainfluenzae, and 11 species, including anti-inflammat
11 cilis, Capnocytophaga granulosa, Haemophilus parainfluenzae, and Lautropia mirabilis were most abunda
12 varium, Prevotella dentalis, and Haemophilus parainfluenzae as biomarkers of severe COVID-19 in nasop
13 81.8% similarity to the H. influenzae and H. parainfluenzae copper (Cu), zinc (Zn)-superoxide dismuta
14 d knowledge about the survival defects of H. parainfluenzae during coinfection with H. influenzae are
16 m in vitro biofilm studies confirmed that H. parainfluenzae formed biofilm communities within which t
17 OM infection model, we demonstrated that H. parainfluenzae formed surface-associated biofilm communi
18 udy addresses the primary hypothesis that H. parainfluenzae forms biofilm communities that are import
19 with H. influenzae promoted clearance of H. parainfluenzae from biofilm communities during OM infect
22 es of Haemophilus influenzae and Haemophilus parainfluenzae isolates were determined with three comme
23 um hominis, Gemella haemolysans, Haemophilus parainfluenzae, Kingella oralis, Lautropia mirabilis, Ne
24 ential gut microbial biomarkers, Haemophilus parainfluenzae likely best characterizes the ethnic mino
25 s mitis, Rothia mucilaginosa and Haemophilus parainfluenzae were the most significantly abundant in t