Serum metabolomic research of the anti-pulmonary fibrosis effects of Shuangshen Pingfei Formula on bleomycin-induced pulmonary fibrosis rats

•An integrative approach based on GC-MS and UPLC-QE-MS metabolomics data as a comprehensive strategy to search potential pulmonary fibrosis (PF) biomarkers.•PCA and OPLS-DA were applied to find out the differences between the control (NS), model group (PF), and treat group (SSPF) to assess the influ...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2022-05, Vol.1197, p.123225-123225, Article 123225
Hauptverfasser: Chen, Yeqing, Li, linling, Wang, wenlong, Sun, Yunpeng, Dong, zilin, Li, Yingman, Fan, Xinsheng
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 123225
container_issue
container_start_page 123225
container_title Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
container_volume 1197
creator Chen, Yeqing
Li, linling
Wang, wenlong
Sun, Yunpeng
Dong, zilin
Li, Yingman
Fan, Xinsheng
description •An integrative approach based on GC-MS and UPLC-QE-MS metabolomics data as a comprehensive strategy to search potential pulmonary fibrosis (PF) biomarkers.•PCA and OPLS-DA were applied to find out the differences between the control (NS), model group (PF), and treat group (SSPF) to assess the influence of SSPF on the metabolic pattern.•The metabolic profile was investigated in the process of the occurrence and development of PF.•After SSPF treatment, the disorder of lipid, amino acid metabolism was regulated. Serine, proline, glutamine, dihydroxybenzoic acid, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF. Our previous studies showed that Shuangshen Pingfei Formula (SSPF) exhibited anti-fibrosis effect, but its biochemical changes at the metabolic level remain unclear. In this study, an integrative approach of gas chromatography-mass spectrometry (GC-MS) and ultra performance liquid chromatography-Q Exactive-mass spectrometry (UPLC-QE-MS)-based non-targeted metabolomics and multivariate statistical analysis was employed to explore the metabolic changes of serum samples from different stages of bleomycin-induced pulmonary fibrosis (PF) rats (PFRs: M7, M14, M21 and M28) treated with SSPF extracts. Potential biomarkers for PF were screened. Benzenebutanoic acid, pyroglutamic acid, cholic acid, 1-monopalmitin, succinic acid and palmitoleic acid may be potential biomarkers of the early inflammation stage of PF (M7-M14). 3,4-dimethylbenzoic acid, glutamic acid, glycine, proline, serine, taurine, etc. may be potential biomarkers for the advanced pulmonary fibrosis stage (M21-M28) of PF. The disturbance was mainly related to the disorder of lipid, amino acid metabolism. After SSPF treatment, the disorder was regulated and 67 metabolites were restored to a certain extent. Serine, proline, glutamine, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF.
doi_str_mv 10.1016/j.jchromb.2022.123225
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2648899884</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1570023222001295</els_id><sourcerecordid>2648899884</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-950b322b1855955799d58ff0d722aa5c86bf86596cc93432585bcd47f4f39f703</originalsourceid><addsrcrecordid>eNqFkcuKFDEUhgtRnHH0EZQs3VSbS6WSrEQGR4UBhVFwF5LUyVSaStImVcK8gw9tmm5dCa7OgfOd2_933UuCdwST8c1-t3dzydHuKKZ0RyijlD_qLokUrGdi_P645VzgHrfKRfes1j3GRGDBnnYXjDMlBsIuu193ULaIIqzG5iXH4FCBCqa4GWWP1hmQSWvoD9sSczLlAflgS66hIvAe3FqP2N28mXRfZ0joS0j3HgK6ySVui0E5IbtAjg8upD6kaXMwoX9MK2atz7sn3iwVXpzjVfft5v3X64_97ecPn67f3faOKr72imPbvrVEcq44F0pNXHqPJ0GpMdzJ0Xo5cjU6p9jAKJfcumkQfvBMeYHZVff6NPdQ8o8N6qpjqA6WxSTIW9V0HKRUSsqhofyEunZmLeD1oYTYLtcE66MReq_PRuijEfpkROt7dV6x2QjT364_yjfg7QmA9ujPAEVXFyA1dUJpsuoph_-s-A3jwp7x</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2648899884</pqid></control><display><type>article</type><title>Serum metabolomic research of the anti-pulmonary fibrosis effects of Shuangshen Pingfei Formula on bleomycin-induced pulmonary fibrosis rats</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Chen, Yeqing ; Li, linling ; Wang, wenlong ; Sun, Yunpeng ; Dong, zilin ; Li, Yingman ; Fan, Xinsheng</creator><creatorcontrib>Chen, Yeqing ; Li, linling ; Wang, wenlong ; Sun, Yunpeng ; Dong, zilin ; Li, Yingman ; Fan, Xinsheng</creatorcontrib><description>•An integrative approach based on GC-MS and UPLC-QE-MS metabolomics data as a comprehensive strategy to search potential pulmonary fibrosis (PF) biomarkers.•PCA and OPLS-DA were applied to find out the differences between the control (NS), model group (PF), and treat group (SSPF) to assess the influence of SSPF on the metabolic pattern.•The metabolic profile was investigated in the process of the occurrence and development of PF.•After SSPF treatment, the disorder of lipid, amino acid metabolism was regulated. Serine, proline, glutamine, dihydroxybenzoic acid, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF. Our previous studies showed that Shuangshen Pingfei Formula (SSPF) exhibited anti-fibrosis effect, but its biochemical changes at the metabolic level remain unclear. In this study, an integrative approach of gas chromatography-mass spectrometry (GC-MS) and ultra performance liquid chromatography-Q Exactive-mass spectrometry (UPLC-QE-MS)-based non-targeted metabolomics and multivariate statistical analysis was employed to explore the metabolic changes of serum samples from different stages of bleomycin-induced pulmonary fibrosis (PF) rats (PFRs: M7, M14, M21 and M28) treated with SSPF extracts. Potential biomarkers for PF were screened. Benzenebutanoic acid, pyroglutamic acid, cholic acid, 1-monopalmitin, succinic acid and palmitoleic acid may be potential biomarkers of the early inflammation stage of PF (M7-M14). 3,4-dimethylbenzoic acid, glutamic acid, glycine, proline, serine, taurine, etc. may be potential biomarkers for the advanced pulmonary fibrosis stage (M21-M28) of PF. The disturbance was mainly related to the disorder of lipid, amino acid metabolism. After SSPF treatment, the disorder was regulated and 67 metabolites were restored to a certain extent. Serine, proline, glutamine, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF.</description><identifier>ISSN: 1570-0232</identifier><identifier>EISSN: 1873-376X</identifier><identifier>DOI: 10.1016/j.jchromb.2022.123225</identifier><identifier>PMID: 35397413</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Animals ; Biomarkers ; Bleomycin - adverse effects ; Chromatography, High Pressure Liquid - methods ; Comprehensive strategy ; GC-MS ; Metabolomics ; Metabolomics - methods ; Proline ; Pulmonary fibrosis ; Pulmonary Fibrosis - chemically induced ; Pulmonary Fibrosis - drug therapy ; Rats ; Serine - adverse effects ; Shuangshen Pingfei Formula ; UPLC-QE-MS</subject><ispartof>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2022-05, Vol.1197, p.123225-123225, Article 123225</ispartof><rights>2022</rights><rights>Copyright © 2022. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-950b322b1855955799d58ff0d722aa5c86bf86596cc93432585bcd47f4f39f703</citedby><cites>FETCH-LOGICAL-c295t-950b322b1855955799d58ff0d722aa5c86bf86596cc93432585bcd47f4f39f703</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1570023222001295$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35397413$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Yeqing</creatorcontrib><creatorcontrib>Li, linling</creatorcontrib><creatorcontrib>Wang, wenlong</creatorcontrib><creatorcontrib>Sun, Yunpeng</creatorcontrib><creatorcontrib>Dong, zilin</creatorcontrib><creatorcontrib>Li, Yingman</creatorcontrib><creatorcontrib>Fan, Xinsheng</creatorcontrib><title>Serum metabolomic research of the anti-pulmonary fibrosis effects of Shuangshen Pingfei Formula on bleomycin-induced pulmonary fibrosis rats</title><title>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences</title><addtitle>J Chromatogr B Analyt Technol Biomed Life Sci</addtitle><description>•An integrative approach based on GC-MS and UPLC-QE-MS metabolomics data as a comprehensive strategy to search potential pulmonary fibrosis (PF) biomarkers.•PCA and OPLS-DA were applied to find out the differences between the control (NS), model group (PF), and treat group (SSPF) to assess the influence of SSPF on the metabolic pattern.•The metabolic profile was investigated in the process of the occurrence and development of PF.•After SSPF treatment, the disorder of lipid, amino acid metabolism was regulated. Serine, proline, glutamine, dihydroxybenzoic acid, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF. Our previous studies showed that Shuangshen Pingfei Formula (SSPF) exhibited anti-fibrosis effect, but its biochemical changes at the metabolic level remain unclear. In this study, an integrative approach of gas chromatography-mass spectrometry (GC-MS) and ultra performance liquid chromatography-Q Exactive-mass spectrometry (UPLC-QE-MS)-based non-targeted metabolomics and multivariate statistical analysis was employed to explore the metabolic changes of serum samples from different stages of bleomycin-induced pulmonary fibrosis (PF) rats (PFRs: M7, M14, M21 and M28) treated with SSPF extracts. Potential biomarkers for PF were screened. Benzenebutanoic acid, pyroglutamic acid, cholic acid, 1-monopalmitin, succinic acid and palmitoleic acid may be potential biomarkers of the early inflammation stage of PF (M7-M14). 3,4-dimethylbenzoic acid, glutamic acid, glycine, proline, serine, taurine, etc. may be potential biomarkers for the advanced pulmonary fibrosis stage (M21-M28) of PF. The disturbance was mainly related to the disorder of lipid, amino acid metabolism. After SSPF treatment, the disorder was regulated and 67 metabolites were restored to a certain extent. Serine, proline, glutamine, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF.</description><subject>Animals</subject><subject>Biomarkers</subject><subject>Bleomycin - adverse effects</subject><subject>Chromatography, High Pressure Liquid - methods</subject><subject>Comprehensive strategy</subject><subject>GC-MS</subject><subject>Metabolomics</subject><subject>Metabolomics - methods</subject><subject>Proline</subject><subject>Pulmonary fibrosis</subject><subject>Pulmonary Fibrosis - chemically induced</subject><subject>Pulmonary Fibrosis - drug therapy</subject><subject>Rats</subject><subject>Serine - adverse effects</subject><subject>Shuangshen Pingfei Formula</subject><subject>UPLC-QE-MS</subject><issn>1570-0232</issn><issn>1873-376X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcuKFDEUhgtRnHH0EZQs3VSbS6WSrEQGR4UBhVFwF5LUyVSaStImVcK8gw9tmm5dCa7OgfOd2_933UuCdwST8c1-t3dzydHuKKZ0RyijlD_qLokUrGdi_P645VzgHrfKRfes1j3GRGDBnnYXjDMlBsIuu193ULaIIqzG5iXH4FCBCqa4GWWP1hmQSWvoD9sSczLlAflgS66hIvAe3FqP2N28mXRfZ0joS0j3HgK6ySVui0E5IbtAjg8upD6kaXMwoX9MK2atz7sn3iwVXpzjVfft5v3X64_97ecPn67f3faOKr72imPbvrVEcq44F0pNXHqPJ0GpMdzJ0Xo5cjU6p9jAKJfcumkQfvBMeYHZVff6NPdQ8o8N6qpjqA6WxSTIW9V0HKRUSsqhofyEunZmLeD1oYTYLtcE66MReq_PRuijEfpkROt7dV6x2QjT364_yjfg7QmA9ujPAEVXFyA1dUJpsuoph_-s-A3jwp7x</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Chen, Yeqing</creator><creator>Li, linling</creator><creator>Wang, wenlong</creator><creator>Sun, Yunpeng</creator><creator>Dong, zilin</creator><creator>Li, Yingman</creator><creator>Fan, Xinsheng</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20220501</creationdate><title>Serum metabolomic research of the anti-pulmonary fibrosis effects of Shuangshen Pingfei Formula on bleomycin-induced pulmonary fibrosis rats</title><author>Chen, Yeqing ; Li, linling ; Wang, wenlong ; Sun, Yunpeng ; Dong, zilin ; Li, Yingman ; Fan, Xinsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-950b322b1855955799d58ff0d722aa5c86bf86596cc93432585bcd47f4f39f703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Animals</topic><topic>Biomarkers</topic><topic>Bleomycin - adverse effects</topic><topic>Chromatography, High Pressure Liquid - methods</topic><topic>Comprehensive strategy</topic><topic>GC-MS</topic><topic>Metabolomics</topic><topic>Metabolomics - methods</topic><topic>Proline</topic><topic>Pulmonary fibrosis</topic><topic>Pulmonary Fibrosis - chemically induced</topic><topic>Pulmonary Fibrosis - drug therapy</topic><topic>Rats</topic><topic>Serine - adverse effects</topic><topic>Shuangshen Pingfei Formula</topic><topic>UPLC-QE-MS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Yeqing</creatorcontrib><creatorcontrib>Li, linling</creatorcontrib><creatorcontrib>Wang, wenlong</creatorcontrib><creatorcontrib>Sun, Yunpeng</creatorcontrib><creatorcontrib>Dong, zilin</creatorcontrib><creatorcontrib>Li, Yingman</creatorcontrib><creatorcontrib>Fan, Xinsheng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Yeqing</au><au>Li, linling</au><au>Wang, wenlong</au><au>Sun, Yunpeng</au><au>Dong, zilin</au><au>Li, Yingman</au><au>Fan, Xinsheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum metabolomic research of the anti-pulmonary fibrosis effects of Shuangshen Pingfei Formula on bleomycin-induced pulmonary fibrosis rats</atitle><jtitle>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences</jtitle><addtitle>J Chromatogr B Analyt Technol Biomed Life Sci</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>1197</volume><spage>123225</spage><epage>123225</epage><pages>123225-123225</pages><artnum>123225</artnum><issn>1570-0232</issn><eissn>1873-376X</eissn><abstract>•An integrative approach based on GC-MS and UPLC-QE-MS metabolomics data as a comprehensive strategy to search potential pulmonary fibrosis (PF) biomarkers.•PCA and OPLS-DA were applied to find out the differences between the control (NS), model group (PF), and treat group (SSPF) to assess the influence of SSPF on the metabolic pattern.•The metabolic profile was investigated in the process of the occurrence and development of PF.•After SSPF treatment, the disorder of lipid, amino acid metabolism was regulated. Serine, proline, glutamine, dihydroxybenzoic acid, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF. Our previous studies showed that Shuangshen Pingfei Formula (SSPF) exhibited anti-fibrosis effect, but its biochemical changes at the metabolic level remain unclear. In this study, an integrative approach of gas chromatography-mass spectrometry (GC-MS) and ultra performance liquid chromatography-Q Exactive-mass spectrometry (UPLC-QE-MS)-based non-targeted metabolomics and multivariate statistical analysis was employed to explore the metabolic changes of serum samples from different stages of bleomycin-induced pulmonary fibrosis (PF) rats (PFRs: M7, M14, M21 and M28) treated with SSPF extracts. Potential biomarkers for PF were screened. Benzenebutanoic acid, pyroglutamic acid, cholic acid, 1-monopalmitin, succinic acid and palmitoleic acid may be potential biomarkers of the early inflammation stage of PF (M7-M14). 3,4-dimethylbenzoic acid, glutamic acid, glycine, proline, serine, taurine, etc. may be potential biomarkers for the advanced pulmonary fibrosis stage (M21-M28) of PF. The disturbance was mainly related to the disorder of lipid, amino acid metabolism. After SSPF treatment, the disorder was regulated and 67 metabolites were restored to a certain extent. Serine, proline, glutamine, 4-guanidinobutyric acid, phosphatidylethanolamine, lecithin and 9,10-epoxyoctadecene acids may be useful as biomarkers of the anti-fibrosis effect of SSPF.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>35397413</pmid><doi>10.1016/j.jchromb.2022.123225</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1570-0232
ispartof Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2022-05, Vol.1197, p.123225-123225, Article 123225
issn 1570-0232
1873-376X
language eng
recordid cdi_proquest_miscellaneous_2648899884
source MEDLINE; Elsevier ScienceDirect Journals
subjects Animals
Biomarkers
Bleomycin - adverse effects
Chromatography, High Pressure Liquid - methods
Comprehensive strategy
GC-MS
Metabolomics
Metabolomics - methods
Proline
Pulmonary fibrosis
Pulmonary Fibrosis - chemically induced
Pulmonary Fibrosis - drug therapy
Rats
Serine - adverse effects
Shuangshen Pingfei Formula
UPLC-QE-MS
title Serum metabolomic research of the anti-pulmonary fibrosis effects of Shuangshen Pingfei Formula on bleomycin-induced pulmonary fibrosis rats
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T22%3A59%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Serum%20metabolomic%20research%20of%20the%20anti-pulmonary%20fibrosis%20effects%20of%20Shuangshen%20Pingfei%20Formula%20on%20bleomycin-induced%20pulmonary%20fibrosis%20rats&rft.jtitle=Journal%20of%20chromatography.%20B,%20Analytical%20technologies%20in%20the%20biomedical%20and%20life%20sciences&rft.au=Chen,%20Yeqing&rft.date=2022-05-01&rft.volume=1197&rft.spage=123225&rft.epage=123225&rft.pages=123225-123225&rft.artnum=123225&rft.issn=1570-0232&rft.eissn=1873-376X&rft_id=info:doi/10.1016/j.jchromb.2022.123225&rft_dat=%3Cproquest_cross%3E2648899884%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2648899884&rft_id=info:pmid/35397413&rft_els_id=S1570023222001295&rfr_iscdi=true