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Article

Clinical Value of Glycan Changes in Cerebrospinal Fluid for Evaluation of Post-Neurosurgical Bacterial Meningitis with Hemorrhagic Stroke Patients

1
Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Jixi Road 218, Hefei 230022, China
2
Department of Orthopaedics, Xuzhou Municipal First People’s Hospital, Daxue Road 269, Xuzhou 221116, China
3
Department of Pathology, Anhui Medical University, Meishan Road 81, Hefei 230032, China
4
School of Clinical Medicine, Anhui Medical University, Meishan Road 81, Hefei 230032, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Diagnostics 2023, 13(2), 187; https://doi.org/10.3390/diagnostics13020187
Submission received: 26 October 2022 / Revised: 26 December 2022 / Accepted: 29 December 2022 / Published: 4 January 2023
(This article belongs to the Section Diagnostic Microbiology and Infectious Disease)

Abstract

Post-neurosurgical bacterial meningitis (PNBM) is one of the severe complications in patients receiving neurosurgical procedures. Recent studies have found microbe-related glycans play important roles in adhesion, invasion, and toxicity toward innate immunological reactions. In this study, we aimed to investigate the glycomic profile and its potential diagnostic efficacy in post-neurosurgical bacterial meningitis (PNBM) patients with hemorrhagic stroke. A total of 136 cerebrospinal fluid (CSF) samples were recruited and divided into a PNBM group and a non-PNBM group based on the clinical diagnostic criteria. A lectin biochip-based method was established for the detection of glycans in CSF. The clinicopathological data and biochemical parameters in CSF from all patients were analyzed. Two models for multivariate analysis investigating glycan changes in the CSF were conducted, aiming at determining the specific expression and diagnostic efficacy of lectin-probing glycans (LPGs) for PNBM. In univariate analysis, we found that 8 out of 11 LPGs were significantly correlated with PNBM. Model 1 multivariate analysis revealed that PNA (p = 0.034), Jacalin (p = 0.034) and LTL (p = 0.001) were differentially expressed in the CSF of PNBM patients compared with those of non-PNBM patients. Model 2 multivariate analysis further disclosed that LTL (p = 0.021) and CSF glucose (p < 0.001) had independent diagnostic efficacies in PNBM, with areas under the curve (AUC) of 0.703 and 0.922, respectively. In summary, this study provided a new insight into the subject of CSF glycomics concerning bacterial infection in patients with hemorrhagic stroke.
Keywords: bacterial meningitis; neurosurgery; hemorrhagic stroke; glycans; biochip bacterial meningitis; neurosurgery; hemorrhagic stroke; glycans; biochip

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MDPI and ACS Style

Ye, L.; Ji, X.; Song, Z.; Guan, L.; Zhao, L.; Wang, W.; Du, W. Clinical Value of Glycan Changes in Cerebrospinal Fluid for Evaluation of Post-Neurosurgical Bacterial Meningitis with Hemorrhagic Stroke Patients. Diagnostics 2023, 13, 187. https://doi.org/10.3390/diagnostics13020187

AMA Style

Ye L, Ji X, Song Z, Guan L, Zhao L, Wang W, Du W. Clinical Value of Glycan Changes in Cerebrospinal Fluid for Evaluation of Post-Neurosurgical Bacterial Meningitis with Hemorrhagic Stroke Patients. Diagnostics. 2023; 13(2):187. https://doi.org/10.3390/diagnostics13020187

Chicago/Turabian Style

Ye, Lei, Xuefei Ji, Zijian Song, Liao Guan, Liang Zhao, Wenwen Wang, and Weidong Du. 2023. "Clinical Value of Glycan Changes in Cerebrospinal Fluid for Evaluation of Post-Neurosurgical Bacterial Meningitis with Hemorrhagic Stroke Patients" Diagnostics 13, no. 2: 187. https://doi.org/10.3390/diagnostics13020187

APA Style

Ye, L., Ji, X., Song, Z., Guan, L., Zhao, L., Wang, W., & Du, W. (2023). Clinical Value of Glycan Changes in Cerebrospinal Fluid for Evaluation of Post-Neurosurgical Bacterial Meningitis with Hemorrhagic Stroke Patients. Diagnostics, 13(2), 187. https://doi.org/10.3390/diagnostics13020187

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