Back

High-throughput RNA and Single-cell RNA Sequencing to Identify Sepsis associated Molecular Mechanisms and the Blood Immune Cell Landscape

Cheng, D.; Wenjun, L.

2025-04-04 bioinformatics
10.1101/2025.03.31.646322 bioRxiv
Show abstract

Sepsis, a leading cause of death in intensive care units (ICUs), is a complex systemic inflammatory response to infection with high morbidity and mortality. Its pathogenesis involves dysregulated inflammation, immune dysfunction, and metabolic alterations, particularly in lactate metabolism. This study employed bioinformatics analyses to explore sepsis mechanisms and identify potential therapeutic targets. We analyzed two GEO datasets and found the lactate metabolism pathway significantly enriched in sepsis patients. Seventeen key genes were identified and used to classify sepsis into two subtypes via WGCNA and consensus clustering. These subtypes exhibited distinct clinical and immune profiles. Seven hub genes (BPI, HGF, HP, LCN2, LTF, MMP8, RETN) showed differential expression between subtypes and may serve as diagnostic biomarkers. MMP8 was identified as a critical regulator in lactate metabolism, with associated miRNAs and transcription factors predicted. Single-cell analysis revealed altered immune cell compositions and interactions in sepsis patients. Our findings offer novel insights into sepsis pathogenesis and potential therapeutic strategies targeting lactate metabolism and immune regulation. Keywords: sepsis; lactate metabolism; bioinformatics; immune microenvironment

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
International Immunopharmacology
15 papers in training set
Top 0.1%
12.8%
2
Frontiers in Genetics
197 papers in training set
Top 0.3%
10.4%
3
Frontiers in Immunology
586 papers in training set
Top 0.9%
7.0%
4
PLOS ONE
4510 papers in training set
Top 30%
5.0%
5
International Journal of Molecular Sciences
453 papers in training set
Top 2%
4.1%
6
Scientific Reports
3102 papers in training set
Top 34%
3.7%
7
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 2%
2.7%
8
Frontiers in Physiology
93 papers in training set
Top 2%
2.1%
9
PLOS Computational Biology
1633 papers in training set
Top 15%
1.8%
10
BioMed Research International
25 papers in training set
Top 2%
1.7%
50% of probability mass above
11
Frontiers in Microbiology
375 papers in training set
Top 5%
1.7%
12
Clinical Infectious Diseases
231 papers in training set
Top 3%
1.5%
13
PeerJ
261 papers in training set
Top 9%
1.4%
14
The Journal of Infectious Diseases
182 papers in training set
Top 3%
1.3%
15
eLife
5422 papers in training set
Top 48%
1.3%
16
Biomedicines
66 papers in training set
Top 2%
1.3%
17
Frontiers in Medicine
113 papers in training set
Top 5%
1.1%
18
Computers in Biology and Medicine
120 papers in training set
Top 3%
1.0%
19
BMC Medical Genomics
36 papers in training set
Top 0.9%
0.9%
20
BMC Genomics
328 papers in training set
Top 4%
0.9%
21
Journal of Medical Virology
137 papers in training set
Top 3%
0.9%
22
Briefings in Bioinformatics
326 papers in training set
Top 6%
0.9%
23
Aging
69 papers in training set
Top 2%
0.8%
24
Life Sciences
25 papers in training set
Top 1%
0.8%
25
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 9%
0.8%
26
PROTEOMICS
35 papers in training set
Top 0.7%
0.8%
27
iScience
1063 papers in training set
Top 33%
0.7%
28
Epigenetics
43 papers in training set
Top 1%
0.7%
29
Advanced Science
249 papers in training set
Top 21%
0.7%
30
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 2%
0.7%