Identification of Diagnostic Biomarkers and Therapeutic Targets in Sepsis-Associated ARDS via Combining Bioinformatics with Machine Learning Analysis.

LTF and PRTN3 are identified as key NETs genes in sepsis-associated ARDS and show promise as effective molecular markers for disease diagnosis and potential therapeutic targets.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.2147/jir.s529689
Citations
1
Primary Topic
Inflammation biomarkers and pathways
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Diagnostic Biomarkers and Therapeutic Targets in Sepsis-Associated ARDS via Combining Bioinformatics with Machine Learning Analysis.

Tingting Liu, Xiaoyan Li, Ling Gao
1 citations
PubMed
Inflammation biomarkers and pathways
0.80
article

Identification of Diagnostic Biomarkers and Therapeutic Targets in Sepsis-Associated ARDS via Combining Bioinformatics with Machine Learning Analysis.

Tingting Liu, Xiaoyan Li, Ling Gao
article en
1 citations

Abstract

LTF and PRTN3 are identified as key NETs genes in sepsis-associated ARDS and show promise as effective molecular markers for disease diagnosis and potential therapeutic targets.

PubMedVol. 18
Shanghai University of Medicine and Health Sciences (CN), Shanxi Academy of Medical Sciences (CN)
Good health and well-being
Openalex Percentile: Top 26%
Inflammation biomarkers and pathways
0.80
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.