Amino acid dysregulation in cerebrospinal fluid of stroke patients serving as diagnostic biomarkers in post-neurosurgical bacterial meningitis

Post-neurosurgical bacterial meningitis (PNBM) is a severe complication following neurosurgical operations. However, clinical diagnosis of PNBM is difficult because of the complicated pathological conditions. This study aims to investigate alterations in amino acid metabolism in hemorrhagic stroke patients with PNBM through targeted metabolomics analysis. Cerebrospinal fluid (CSF) samples were collected from 66 hemorrhagic stroke patients who underwent neurosurgical operation in our department. Baseline data were retrospectively analyzed for two patient groups: the post-neurosurgical bacterial meningitis group (PNBM, n = 40) and the non-post-neurosurgical bacterial meningitis (non-infected control group, n = 26), classified based on established diagnostic criteria for intracranial infection. A targeted analysis of 36 amino acids and their derivatives in CSF was performed using liquid chromatography-mass spectrometry (LC-MS). Candidate biomarkers were identified through Student's t-test, fold change (FC) analysis, Variable Importance in Projection (VIP), and logistic Least Absolute Shrinkage and Selection Operator (LASSO) regression. The diagnostic performance was evaluated using Receiver Operating Characteristic (ROC) curve analysis. Twenty-one amino acids and their derivatives were found to be significantly downregulated in the PNBM group. Logistic LASSO regression identified Glycine (p<sup>orginal</sup>=2.24 × 10<sup>-20</sup>, fold change = 0.34, AUC = 0.91), L-Threonine (p<sup>orginal</sup>=5.05 × 10<sup>-28</sup>, fold change = 0.39, AUC = 0.92), and L-Homoserine (p<sup>orginal</sup>=2.18 × 10<sup>-17</sup>, fold change = 0.28, AUC = 0.92) as potential biomarkers for diagnosing PNBM in the context of hemorrhagic stroke. Metabolic pathway analysis, corrected for false discovery rate, revealed three CSF-based amino acid metabolic pathways potentially associated with PNBM. In conclusion, these altered amino acids offer new insights into the pathophysiology of PNBM and providing helpful information on potential therapeutic targets in PNBM in the context of hemorrhagic stroke.

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Publication Details

Journal
Scientific Reports
Published
2025-10-27
DOI
https://doi.org/10.1038/s41598-025-21286-x
Primary Topic
Bacterial Infections and Vaccines
Type
article
Field-Weighted Citation Impact
0.00

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article

Amino acid dysregulation in cerebrospinal fluid of stroke patients serving as diagnostic biomarkers in post-neurosurgical bacterial meningitis

Lei Ye, C.G. Wang, Hongwei Cheng, Lu Ding et al.
Scientific Reports
Bacterial Infections and Vaccines
article

Amino acid dysregulation in cerebrospinal fluid of stroke patients serving as diagnostic biomarkers in post-neurosurgical bacterial meningitis

Lei Ye, C.G. Wang, Hongwei Cheng, Lu Ding, Bohang Liu, Wei Chen, Yuanyuan Chen
article en

Abstract

Post-neurosurgical bacterial meningitis (PNBM) is a severe complication following neurosurgical operations. However, clinical diagnosis of PNBM is difficult because of the complicated pathological conditions. This study aims to investigate alterations in amino acid metabolism in hemorrhagic stroke patients with PNBM through targeted metabolomics analysis. Cerebrospinal fluid (CSF) samples were collected from 66 hemorrhagic stroke patients who underwent neurosurgical operation in our department. Baseline data were retrospectively analyzed for two patient groups: the post-neurosurgical bacterial meningitis group (PNBM, n = 40) and the non-post-neurosurgical bacterial meningitis (non-infected control group, n = 26), classified based on established diagnostic criteria for intracranial infection. A targeted analysis of 36 amino acids and their derivatives in CSF was performed using liquid chromatography-mass spectrometry (LC-MS). Candidate biomarkers were identified through Student's t-test, fold change (FC) analysis, Variable Importance in Projection (VIP), and logistic Least Absolute Shrinkage and Selection Operator (LASSO) regression. The diagnostic performance was evaluated using Receiver Operating Characteristic (ROC) curve analysis. Twenty-one amino acids and their derivatives were found to be significantly downregulated in the PNBM group. Logistic LASSO regression identified Glycine (p<sup>orginal</sup>=2.24 × 10<sup>-20</sup>, fold change = 0.34, AUC = 0.91), L-Threonine (p<sup>orginal</sup>=5.05 × 10<sup>-28</sup>, fold change = 0.39, AUC = 0.92), and L-Homoserine (p<sup>orginal</sup>=2.18 × 10<sup>-17</sup>, fold change = 0.28, AUC = 0.92) as potential biomarkers for diagnosing PNBM in the context of hemorrhagic stroke. Metabolic pathway analysis, corrected for false discovery rate, revealed three CSF-based amino acid metabolic pathways potentially associated with PNBM. In conclusion, these altered amino acids offer new insights into the pathophysiology of PNBM and providing helpful information on potential therapeutic targets in PNBM in the context of hemorrhagic stroke.

Scientific ReportsVol. 15(1)
Jiangsu University (CN), Anhui Medical University (CN), Jiangsu University of Science and Technology (CN), Affiliated Hospital of Jiangsu University (CN), First Affiliated Hospital of Anhui Medical University (CN)
Anhui Medical University
Openalex Percentile: Top 71%
Bacterial Infections and Vaccines
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