Identification of Biomarkers for Sepsis-Induced Acute Lung Injury Through Bioinformatics and Machine Learning Approaches, with Experimental Validation

The four genes may serve as diagnostic biomarkers for sepsis-ALI. Resveratrol represents a potential therapeutic strategy by targeting these genes.

Authors

Institutions

Publication Details

Journal
Journal of Inflammation Research
Published
2025-10-01
DOI
https://doi.org/10.2147/jir.s539899
Citations
2
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Biomarkers for Sepsis-Induced Acute Lung Injury Through Bioinformatics and Machine Learning Approaches, with Experimental Validation

Yannian Luo, Nannan He, Wen Cao
2 citations
Journal of Inflammation Research
Sepsis Diagnosis and Treatment
2.71
article

Identification of Biomarkers for Sepsis-Induced Acute Lung Injury Through Bioinformatics and Machine Learning Approaches, with Experimental Validation

Yannian Luo, Nannan He, Wen Cao
article en
2 citations

Abstract

The four genes may serve as diagnostic biomarkers for sepsis-ALI. Resveratrol represents a potential therapeutic strategy by targeting these genes.

Journal of Inflammation ResearchVol. Volume 18
Lanzhou University Second Hospital (CN), Lanzhou University (CN)
Openalex Percentile: Top 8%
Sepsis Diagnosis and Treatment
2.71
DOIOpen Access PDFOpenAlex
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.

Identification of Biomarkers for Sepsis-Induced Acute Lung Injury Through Bioinformatics and Machine Learning Approaches, with Experimental Validation — Yannian Luo, Nannan He, et al. · Journal of Inflammation Research (2025) | TGRS Research Map | TGRS