Literature DB >> 31442449

Plasma metabolites Xanthine, 4-Pyridoxate, and d-glutamic acid as novel potential biomarkers for pulmonary tuberculosis.

Huai Huang1, Li-Ying Shi2, Li-Liang Wei3, Yu-Shuai Han4, Wen-Jing Yi5, Zhi-Wen Pan6, Ting-Ting Jiang7, Jing Chen8, Hui-Hui Tu9, Zhi-Bin Li10, Yu-Ting Hu11, Ji-Cheng Li12.   

Abstract

BACKGROUND: The lack of rapid and efficient diagnostic methods has been one of the most frustrating challenges in controlling the pulmonary tuberculosis (TB) epidemic. This study was aimed to identify novel non-invasive biomarkers for pulmonary TB.
METHODS: The subjects in this study were divided into four groups: the pulmonary TB group, the community-acquired pneumonia (CAP) group, the lung cancer (LC) group, and the normal control (NC) group. Plasma small molecule metabolites were investigated in each group by using ultra-high performance liquid chromatography coupled with Q Exactive mass spectrometry. Multivariate statistical methods and bioinformatics were used to analyze the data.
RESULTS: We identified three differential plasma metabolites such as, Xanthine, 4-Pyridoxate and d-glutamic acid in the pulmonary TB group, compared to the other groups (CAP, LC and NC). The pathway enrichment analysis indicated that the energy source in pulmonary TB was multi-center, which might be involved in maintaining the reproductive ability and virulence of Mycobacterium tuberculosis.
CONCLUSION: The results suggested that Xanthine, 4-Pyridoxate, and d-glutamic acid may serve as potential biomarkers for pulmonary TB. The present study provides experimental basis for developing potential biomarkers of pulmonary TB.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  4-Pyridoxate; Metabolomics; Potential biomarkers; Pulmonary tuberculosis; Xanthine; d-glutamic acid

Mesh:

Substances:

Year:  2019        PMID: 31442449     DOI: 10.1016/j.cca.2019.08.017

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  6 in total

1.  [Mass spectrometry-based identification of new serum biomarkers in patients with multidrug resistant pulmonary tuberculosis].

Authors:  Dongzi Lin; Wei Wang; Feng Qiu; Yumei Li; Xiaolin Yu; Bingyao Lin; Yinwen Chen; Chunyan Lei; Yan Ma; Jincheng Zeng; Jie Zhou
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-12-30

2.  Molecular perturbations in pulmonary tuberculosis patients identified by pathway-level analysis of plasma metabolic features.

Authors:  Nguyen Phuoc Long; Da Young Heo; Seongoh Park; Nguyen Thi Hai Yen; Yong-Soon Cho; Jae-Gook Shin; Jee Youn Oh; Dong-Hyun Kim
Journal:  PLoS One       Date:  2022-01-24       Impact factor: 3.240

3.  CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets.

Authors:  Dinesh Kumar Barupal; Priyanka Mahajan; Sadjad Fakouri-Baygi; Robert O Wright; Manish Arora; Susan L Teitelbaum
Journal:  Environ Int       Date:  2022-04-18       Impact factor: 13.352

4.  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

5.  Integration of metabolomics and transcriptomics reveals novel biomarkers in the blood for tuberculosis diagnosis in children.

Authors:  Noton K Dutta; Jeffrey A Tornheim; Kiyoshi F Fukutani; Mandar Paradkar; Rafael T Tiburcio; Aarti Kinikar; Chhaya Valvi; Vandana Kulkarni; Neeta Pradhan; Shri Vijay Bala Yogendra Shivakumar; Anju Kagal; Akshay Gupte; Nikhil Gupte; Vidya Mave; Amita Gupta; Bruno B Andrade; Petros C Karakousis
Journal:  Sci Rep       Date:  2020-11-11       Impact factor: 4.379

6.  Discovery of serum biomarkers for diagnosis of tuberculosis by NMR metabolomics including cross-validation with a second cohort.

Authors:  R Conde; R Laires; L G Gonçalves; A Rizvi; C Barroso; M Villar; R Macedo; M J Simões; S Gaddam; P Lamosa; L Puchades-Carrasco; A Pineda-Lucena; A B Patel; S C Mande; S Banerjee; M Matzapetakis; A V Coelho
Journal:  Biomed J       Date:  2021-07-24       Impact factor: 7.892

  6 in total

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