TY - JOUR
T1 - Database-assisted global metabolomics profiling of pleural effusion induced by tuberculosis and malignancy
AU - Cao, Guodong
AU - Song, Zhengbo
AU - Yang, Zhiyi
AU - Chen, Zhongjian
AU - Hong, Yanjun
AU - Cai, Zongwei
N1 - Funding Information:
This study was supported by grants from National Key Research and Development Program of China (No. 2017YFC1600500 ), National Nature Science Foundation of China (Nos. 21575120 and 21707112 ), and Hong Kong General Research Fund (No. 12302317 ).
Publisher Copyright:
© 2021
PY - 2021/10
Y1 - 2021/10
N2 - 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.
AB - 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.
KW - Database-assisted global metabolomics
KW - Mass spectrometry
KW - Non-invasive biomarker
KW - Pleural effusion
UR - http://www.scopus.com/inward/record.url?scp=85105494939&partnerID=8YFLogxK
U2 - 10.1016/j.cclet.2021.03.052
DO - 10.1016/j.cclet.2021.03.052
M3 - Journal article
AN - SCOPUS:85105494939
SN - 1001-8417
VL - 32
SP - 3207
EP - 3210
JO - Chinese Chemical Letters
JF - Chinese Chemical Letters
IS - 10
ER -
