Transcriptomic profiling in <i>Mycobacterium avium</i> complex pulmonary disease identifies clusters linked to disease severity and neutrophil activation

Gene expression profiling in MAC pulmonary disease patients identified three distinct clusters, with the most severe cluster characterized by neutrophil activation. Six genes were associated with disease severity and prognosis, though their causal roles require further investigation.

Authors

Institutions

Publication Details

Journal
American Journal of Respiratory and Critical Care Medicine
Published
2025-10-14
DOI
https://doi.org/10.1164/rccm.202503-0665oc
Citations
1
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptomic profiling in Mycobacterium avium complex pulmonary disease identifies clusters linked to disease severity and neutrophil activation

Kodai Ueda, Takefumi Saito, Yuko Morishima, Chio Sakai et al.
1 citations
American Journal of Respiratory and Critical Care Medicine
Mycobacterium research and diagnosis
1.35
article

Transcriptomic profiling in Mycobacterium avium complex pulmonary disease identifies clusters linked to disease severity and neutrophil activation

Kodai Ueda, Takefumi Saito, Yuko Morishima, Chio Sakai, Masafumi Muratani, Yukio Ishii, Masayuki Nakajima, Sosuke Matsumura, Masashi Matsuyama, Mizu Nonaka, Naoki Arai, Nobuyuki Hizawa
article en
1 citations

Abstract

Gene expression profiling in MAC pulmonary disease patients identified three distinct clusters, with the most severe cluster characterized by neutrophil activation. Six genes were associated with disease severity and prognosis, though their causal roles require further investigation.

American Journal of Respiratory and Critical Care MedicineVol. 212(3)
University of Tsukuba (JP), University of Tsukuba Hospital (JP), Tsukuba Medical Center Hospital (JP), Ibarakihigashi National Hospital (JP), Ibaraki University (JP)
Openalex Percentile: Top 15%
Mycobacterium research and diagnosis
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.