Integrating Transcriptomic Data and Mendelian RandomizationAnalyses Reveals Potentially Novel Sepsis-related Targets

These results offer potential insight into the mechanisms that govern septicemia and thus suggest a promising series of candidates that may be amenable to targeting to prevent or treat sepsis more effectively.

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Publication Details

Journal
Current Medicinal Chemistry
Published
2025-04-29
DOI
https://doi.org/10.2174/0109298673370740250403141421
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating Transcriptomic Data and Mendelian RandomizationAnalyses Reveals Potentially Novel Sepsis-related Targets

Liang Chen, Wuhai Tao
1 links
Current Medicinal Chemistry
Sepsis Diagnosis and Treatment
article

Integrating Transcriptomic Data and Mendelian RandomizationAnalyses Reveals Potentially Novel Sepsis-related Targets

Liang Chen, Wuhai Tao
article en

Abstract

These results offer potential insight into the mechanisms that govern septicemia and thus suggest a promising series of candidates that may be amenable to targeting to prevent or treat sepsis more effectively.

Current Medicinal ChemistryVol. 32
Zhongda Hospital Southeast University (CN), Nanjing Drum Tower Hospital (CN), Lishui City People's Hospital (CN), Southeast University (CN)
Openalex Percentile: Top 87%
Sepsis Diagnosis and Treatment
DOISourceOpenAlex
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