Citation: Guodong Cao, Zhengbo Song, Zhiyi Yang, Zhongjian Chen, Yanjun Hong, Zongwei Cai. Database-assisted global metabolomics profiling of pleural effusion induced by tuberculosis and malignancy[J]. Chinese Chemical Letters, ;2021, 32(10): 3207-3210. doi: 10.1016/j.cclet.2021.03.052 shu

Database-assisted global metabolomics profiling of pleural effusion induced by tuberculosis and malignancy

Guodong Cao ^{a, 1} ,
Zhengbo Song ^{b, 1} ,
Zhiyi Yang ^a ,
Zhongjian Chen ^c ,
Yanjun Hong ^{a, d, *,} ,
Zongwei Cai ^{a, *,}

a.
State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
b.
Department of Thoracic Oncology, Zhejiang Cancer Hospital, Hangzhou 310000, China
c.
Department of Cancer Research, Zhejiang Cancer Hospital, Hangzhou 310000, China
d.
School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen 518000, China

yjhong@hkbu.edu.hk

zwcai@hkbu.edu.hk

Received Date: 26 December 2020
Revised Date: 16 February 2021
Accepted Date: 21 March 2021
Available Online: 23 March 2021

Figures(2)

Database-assisted global metabolomics has received growing attention due to its capability for unbiased identification of metabolites in various biological samples. Herein, we established a mass spectrometry (MS)-based database-assisted global metabolomics method and investigated metabolic distance between pleural effusion induced by tuberculosis and malignancy, which are difficult to be distinguished due to their similar clinical symptoms. The present method utilized a liquid chromatography (LC) system coupled with high resolution mass spectrometry (MS) working on full scan and data dependent mode for data acquisition. Unbiased identification of metabolites was performed through mass spectral searching and then confirmed by using authentic standards. As a result, a total of 194 endogenous metabolites were identified and 33 metabolites were found to be differentiated between tuberculous and malignant pleural effusions. These metabolites involved in tryptophan catabolism, bile acid biosynthesis, and β-oxidation of fatty acids, provided non-invasive biomarkers for differentiation of the pleural effusion samples with high sensitivity and specificity.
- Database-assisted global metabolomics,
- Mass spectrometry,
- Non-invasive biomarker,
- Pleural effusion
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