Literature DB >> 26348777

Elevated host lipid metabolism revealed by iTRAQ-based quantitative proteomic analysis of cerebrospinal fluid of tuberculous meningitis patients.

Jun Mu1, Yongtao Yang2, Jin Chen1, Ke Cheng1, Qi Li1, Yongdong Wei1, Dan Zhu1, Weihua Shao1, Peng Zheng1, Peng Xie3.   

Abstract

PURPOSE: Tuberculous meningitis (TBM) remains to be one of the most deadly infectious diseases. The pathogen interacts with the host immune system, the process of which is largely unknown. Various cellular processes of Mycobacterium tuberculosis (MTB) centers around lipid metabolism. To determine the lipid metabolism related proteins, a quantitative proteomic study was performed here to identify differential proteins in the cerebrospinal fluid (CSF) obtained from TBM patients (n = 12) and healthy controls (n = 12).
METHODS: CSF samples were desalted, concentrated, labelled with isobaric tags for relative and absolute quantitation (iTRAQ™), and analyzed by multi-dimensional liquid chromatography-tandem mass spectrometry (LC-MS/MS). Gene ontology and proteomic phenotyping analysis of the differential proteins were conducted using Database for Annotation, Visualization, and Integrated Discovery (DAVID) Bioinformatics Resources. ApoE and ApoB were selected for validation by ELISA.
RESULTS: Proteomic phenotyping of the 4 differential proteins was invloved in the lipid metabolism. ELISA showed significantly increased ApoB levels in TBM subjects compared to healthy controls. Area under the receiver operating characteristic curve analysis demonstrated ApoB levels could distinguish TBM subjects from healthy controls and viral meningitis subjects with 89.3% sensitivity and 92% specificity.
CONCLUSIONS: CSF lipid metabolism disregulation, especially elevated expression of ApoB, gives insights into the pathogenesis of TBM. Further evaluation of these findings in larger studies including anti-tuberculosis medicated and unmedicated patient cohorts with other center nervous system infectious diseases is required for successful clinical translation.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ApoB; Cerebrospinal fluid; Proteomic; Tuberculous meningitis; iTRAQ

Mesh:

Substances:

Year:  2015        PMID: 26348777     DOI: 10.1016/j.bbrc.2015.08.036

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  8 in total

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3.  Dietary cholesterol intake and stroke risk: a meta-analysis.

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4.  Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review.

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6.  Identification of protein biomarkers in host cerebrospinal fluid for differential diagnosis of tuberculous meningitis and other meningitis.

Authors:  Mailing Huang; Zeyu Ding; Wensheng Li; Weibi Chen; Yadong Du; Hongyan Jia; Qi Sun; Boping Du; Rongrong Wei; Aiying Xing; Qi Li; Naihui Chu; Liping Pan
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7.  Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis.

Authors:  Xin Hu; Jie Wang; Yingjiao Ju; Xiuli Zhang; Wushou'er Qimanguli; Cuidan Li; Liya Yue; Bahetibieke Tuohetaerbaike; Ying Li; Hao Wen; Wenbao Zhang; Changbin Chen; Yefeng Yang; Jing Wang; Fei Chen
Journal:  BMC Infect Dis       Date:  2022-08-25       Impact factor: 3.667

8.  Identification of Urinary Biomarkers for Exercise-Induced Immunosuppression by iTRAQ Proteomics.

Authors:  Guoqin Xu; Wentao Lin; Andrew J McAinch; Xu Yan; Xiquan Weng
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  8 in total

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