Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes

Abstract Background Lung cancer remains the leading cause of mortality from malignant tumors, non-small cell lung cancer (NSCLC) accounts for the majority of lung cancer cases, and individualized diagnosis and treatment is an effective trend. The individual characteristics of different traditional C...

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Autores principales:	Song Cang, Ran Liu, Wei Jin, Qi Tang, Wanjun Li, Kunqian Mu, Pengfei Jin, Kaishun Bi, Qing Li
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Non-small cell lung cancer Traditional Chinese medicine syndromes Syndrome differentiation Lipidomics Proteomics Other systems of medicine RZ201-999
Acceso en línea:	https://doaj.org/article/99fd66f82c914127bc2a6500ecede826
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spelling	oai:doaj.org-article:99fd66f82c914127bc2a6500ecede8262021-11-28T12:08:18ZIntegrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes10.1186/s13020-021-00535-x1749-8546https://doaj.org/article/99fd66f82c914127bc2a6500ecede8262021-11-01T00:00:00Zhttps://doi.org/10.1186/s13020-021-00535-xhttps://doaj.org/toc/1749-8546Abstract Background Lung cancer remains the leading cause of mortality from malignant tumors, non-small cell lung cancer (NSCLC) accounts for the majority of lung cancer cases, and individualized diagnosis and treatment is an effective trend. The individual characteristics of different traditional Chinese medicine (TCM) syndromes of NSCLC patients may be revealed by highly specific molecular profiles. Methods In this study, 10 NSCLC patients with Qi deficiency and Yin deficiency (QDYD) syndrome and 10 patients with Qi deficiency of lung-spleen (QDLS) syndrome in TNM stage III-IV as well as 10 healthy volunteers were enrolled. Aiming at the varied syndromes of NSCLC patients with “Yin deficiency” as the main difference, a proteomics research based on data-independent acquisition (DIA) was developed. Of the dysregulated proteins in NSCLC patients, lipid metabolism was significantly enriched. Thereafter, nontargeted lipidomics research based on UPLC-Q-TOF/MS was performed in 16 patients, with 8 individuals randomly selected from each syndrome group. Furthermore, the considerably different characteristics between the syndromes and pathological mechanisms of NSCLC were screened by statistical and biological integrations of proteomics and lipidomics and the differential metabolic pathways of the two similar syndromes were further explored. Besides, lipids biomarkers were verified by a clinically used anticancer Chinese medicine, and the level of key differential proteins in the two syndromes was also validated using ELISA. Results The results showed that glycerophospholipid metabolism, sphingolipid metabolism, glycolipid metabolism, and primary bile acid biosynthesis were altered in NSCLC patients and that glycerophospholipid metabolism was significantly changed between the two syndromes in lipidomics analysis. Among the proteins and lipids, ALDOC and lysophosphatidylcholine (LPCs) were revealed to have a strong relationship by statistical and biological integration analysis, and could effectively distinguish QDLS and QDYD syndromes. Notably, the patients with different syndromes had the most typical metabolic patterns in glycerophospholipid metabolism and glycolysis, reflecting the differences in the syndromes dominated by “Yin deficiency”. Conclusions ALDOC and LPCs could be employed for the differentiation of NSCLC patients with QDLS and QDYD syndromes, and “Yin deficiency” might be associated with glycerophospholipid metabolism and glycolysis pathway. The results provided a theoretical basis for “Syndrome differentiation” in TCM diagnosis. Moreover, the developed integrated strategy could also provide a reference for individualized diagnosis and treatment of other diseases.Song CangRan LiuWei JinQi TangWanjun LiKunqian MuPengfei JinKaishun BiQing LiBMCarticleNon-small cell lung cancerTraditional Chinese medicine syndromesSyndrome differentiationLipidomicsProteomicsOther systems of medicineRZ201-999ENChinese Medicine, Vol 16, Iss 1, Pp 1-20 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Non-small cell lung cancer Traditional Chinese medicine syndromes Syndrome differentiation Lipidomics Proteomics Other systems of medicine RZ201-999
spellingShingle	Non-small cell lung cancer Traditional Chinese medicine syndromes Syndrome differentiation Lipidomics Proteomics Other systems of medicine RZ201-999 Song Cang Ran Liu Wei Jin Qi Tang Wanjun Li Kunqian Mu Pengfei Jin Kaishun Bi Qing Li Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes
description	Abstract Background Lung cancer remains the leading cause of mortality from malignant tumors, non-small cell lung cancer (NSCLC) accounts for the majority of lung cancer cases, and individualized diagnosis and treatment is an effective trend. The individual characteristics of different traditional Chinese medicine (TCM) syndromes of NSCLC patients may be revealed by highly specific molecular profiles. Methods In this study, 10 NSCLC patients with Qi deficiency and Yin deficiency (QDYD) syndrome and 10 patients with Qi deficiency of lung-spleen (QDLS) syndrome in TNM stage III-IV as well as 10 healthy volunteers were enrolled. Aiming at the varied syndromes of NSCLC patients with “Yin deficiency” as the main difference, a proteomics research based on data-independent acquisition (DIA) was developed. Of the dysregulated proteins in NSCLC patients, lipid metabolism was significantly enriched. Thereafter, nontargeted lipidomics research based on UPLC-Q-TOF/MS was performed in 16 patients, with 8 individuals randomly selected from each syndrome group. Furthermore, the considerably different characteristics between the syndromes and pathological mechanisms of NSCLC were screened by statistical and biological integrations of proteomics and lipidomics and the differential metabolic pathways of the two similar syndromes were further explored. Besides, lipids biomarkers were verified by a clinically used anticancer Chinese medicine, and the level of key differential proteins in the two syndromes was also validated using ELISA. Results The results showed that glycerophospholipid metabolism, sphingolipid metabolism, glycolipid metabolism, and primary bile acid biosynthesis were altered in NSCLC patients and that glycerophospholipid metabolism was significantly changed between the two syndromes in lipidomics analysis. Among the proteins and lipids, ALDOC and lysophosphatidylcholine (LPCs) were revealed to have a strong relationship by statistical and biological integration analysis, and could effectively distinguish QDLS and QDYD syndromes. Notably, the patients with different syndromes had the most typical metabolic patterns in glycerophospholipid metabolism and glycolysis, reflecting the differences in the syndromes dominated by “Yin deficiency”. Conclusions ALDOC and LPCs could be employed for the differentiation of NSCLC patients with QDLS and QDYD syndromes, and “Yin deficiency” might be associated with glycerophospholipid metabolism and glycolysis pathway. The results provided a theoretical basis for “Syndrome differentiation” in TCM diagnosis. Moreover, the developed integrated strategy could also provide a reference for individualized diagnosis and treatment of other diseases.
format	article
author	Song Cang Ran Liu Wei Jin Qi Tang Wanjun Li Kunqian Mu Pengfei Jin Kaishun Bi Qing Li
author_facet	Song Cang Ran Liu Wei Jin Qi Tang Wanjun Li Kunqian Mu Pengfei Jin Kaishun Bi Qing Li
author_sort	Song Cang
title	Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes
title_short	Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes
title_full	Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes
title_fullStr	Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes
title_full_unstemmed	Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes
title_sort	integrated dia proteomics and lipidomics analysis on non-small cell lung cancer patients with tcm syndromes
publisher	BMC
publishDate	2021
url	https://doaj.org/article/99fd66f82c914127bc2a6500ecede826
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Integrated DIA proteomics and lipidomics analysis on non-small cell lung cancer patients with TCM syndromes

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