A multi-omics study of magnesium sulfate to improve prognosis in sepsis-related encephalopathy: integrating clinical data-driven network pharmacology

Magnesium sulfate use correlates with improved SAE survival, particularly those with comorbid chronic obstructive pulmonary disease and acute kidney injury, and using vasoconstrictors, likely through multi-target modulation of inflammatory response and immune regulation. Prospective studies are needed for validation.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-06-09
DOI
https://doi.org/10.3389/fcimb.2025.1607586
Citations
1
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
1.55

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article

A multi-omics study of magnesium sulfate to improve prognosis in sepsis-related encephalopathy: integrating clinical data-driven network pharmacology

Yao Kong, Liang Shi, Hao Chen, Meng Zhang et al.
1 citations
Frontiers in Cellular and Infection Microbiology
Intensive Care Unit Cognitive Disorders
1.55
article

A multi-omics study of magnesium sulfate to improve prognosis in sepsis-related encephalopathy: integrating clinical data-driven network pharmacology

Yao Kong, Liang Shi, Hao Chen, Meng Zhang, Bin Chen, Hong Ji, Rui Feng, Yanghao Tai
article en
1 citations

Abstract

Magnesium sulfate use correlates with improved SAE survival, particularly those with comorbid chronic obstructive pulmonary disease and acute kidney injury, and using vasoconstrictors, likely through multi-target modulation of inflammatory response and immune regulation. Prospective studies are needed for validation.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Shanxi Medical University (CN), Shanxi Academy of Medical Sciences (CN)
Natural Science Foundation of Shanxi Province, ShanXi Science and Technology Department
Openalex Percentile: Top 19%
Intensive Care Unit Cognitive Disorders
1.55
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A multi-omics study of magnesium sulfate to improve prognosis in sepsis-related encephalopathy: integrating clinical data-driven network pharmacology — Yao Kong, Liang Shi, et al. · Frontiers in Cellular and Infection Microbiology (2025) | TGRS Research Map | TGRS