Metabolomics analysis of serum in pediatric nephrotic syndrome based on targeted and non-targeted platforms
Background and aims Nephrotic syndrome (NS) is a common pediatric urinary system disease. The aim in this work was to investigate the changes in pediatric NS-related metabolites through serum metabolomics, and explore the new potential metabolites and differential metabolic pathways. Methods Serum s...
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| Veröffentlicht in: | Metabolomics 2021-04, Vol.17 (4), p.38-38, Article 38 |
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| creator | Guo, Jing Zhao, Jinhui Liu, Rui Yu, Jiaying Zhang, Mingjia Wang, Hanming Liu, Liyan |
| description | Background and aims
Nephrotic syndrome (NS) is a common pediatric urinary system disease. The aim in this work was to investigate the changes in pediatric NS-related metabolites through serum metabolomics, and explore the new potential metabolites and differential metabolic pathways.
Methods
Serum samples from 40 pediatric patients with nephrotic syndrome and 40 healthy controls were collected. The targeted and non-targeted metabolomics analyses were performed to determine the metabolic changes in pediatric NS. Based on multivariate statistical analysis and the regression model, the serum potential metabolites were screened and different metabolic pathways were explored.
Results
39 differential metabolites in pediatric NS were obtained based on the metabolomics analysis. 12 differential metabolites (serine, C18: 2 (EFA), C18: 2 (FFA), Isonuatigenin 3- [rhamnosyl- (1- > 2) -glucoside], C18: 4 (EFA), C18: 4 (FFA), caprylic acid, citric acid, methylmalonic acid, caproic acid, canavalioside and uroporphyrin were identified to establish the diagnostic model for pediatric NS. Five metabolic pathways including TCA cycle, amino acid metabolism, bile acid biosynthesis, linoleate metabolism and glyoxylate and dicarboxylate metabolism were the key differential metabolic pathways.
Conclusion
These data elucidated the metabolic alterations associated with pediatric NS and suggested a new diagnosis model for monitoring pediatric NS. The current study provides the useful information to bridge the gaps in our understanding of the metabolic alterations associated with pediatric NS and might facilitate the characterization of pediatric NS patients by performing serum metabolomics.
Graphic Abstract |
| doi_str_mv | 10.1007/s11306-021-01788-1 |
| format | Article |
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Nephrotic syndrome (NS) is a common pediatric urinary system disease. The aim in this work was to investigate the changes in pediatric NS-related metabolites through serum metabolomics, and explore the new potential metabolites and differential metabolic pathways.
Methods
Serum samples from 40 pediatric patients with nephrotic syndrome and 40 healthy controls were collected. The targeted and non-targeted metabolomics analyses were performed to determine the metabolic changes in pediatric NS. Based on multivariate statistical analysis and the regression model, the serum potential metabolites were screened and different metabolic pathways were explored.
Results
39 differential metabolites in pediatric NS were obtained based on the metabolomics analysis. 12 differential metabolites (serine, C18: 2 (EFA), C18: 2 (FFA), Isonuatigenin 3- [rhamnosyl- (1- > 2) -glucoside], C18: 4 (EFA), C18: 4 (FFA), caprylic acid, citric acid, methylmalonic acid, caproic acid, canavalioside and uroporphyrin were identified to establish the diagnostic model for pediatric NS. Five metabolic pathways including TCA cycle, amino acid metabolism, bile acid biosynthesis, linoleate metabolism and glyoxylate and dicarboxylate metabolism were the key differential metabolic pathways.
Conclusion
These data elucidated the metabolic alterations associated with pediatric NS and suggested a new diagnosis model for monitoring pediatric NS. The current study provides the useful information to bridge the gaps in our understanding of the metabolic alterations associated with pediatric NS and might facilitate the characterization of pediatric NS patients by performing serum metabolomics.
Graphic Abstract</description><identifier>ISSN: 1573-3882</identifier><identifier>EISSN: 1573-3890</identifier><identifier>DOI: 10.1007/s11306-021-01788-1</identifier><identifier>PMID: 33788045</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Amino acids ; Biochemistry ; Biomedical and Life Sciences ; Biomedicine ; Cell Biology ; Citric acid ; Developmental Biology ; Kidney diseases ; Life Sciences ; Metabolic pathways ; Metabolism ; Metabolites ; Metabolomics ; Molecular Medicine ; Nephrotic syndrome ; Octanoic acid ; Original Article ; Pediatrics ; Serine ; Statistical analysis ; Tricarboxylic acid cycle</subject><ispartof>Metabolomics, 2021-04, Vol.17 (4), p.38-38, Article 38</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-9d487572e3f867b816266b5c7b7679c3f2b714c4d9ba6d0045bfa47128be4b693</citedby><cites>FETCH-LOGICAL-c375t-9d487572e3f867b816266b5c7b7679c3f2b714c4d9ba6d0045bfa47128be4b693</cites><orcidid>0000-0001-6766-9508</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11306-021-01788-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11306-021-01788-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33788045$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Jing</creatorcontrib><creatorcontrib>Zhao, Jinhui</creatorcontrib><creatorcontrib>Liu, Rui</creatorcontrib><creatorcontrib>Yu, Jiaying</creatorcontrib><creatorcontrib>Zhang, Mingjia</creatorcontrib><creatorcontrib>Wang, Hanming</creatorcontrib><creatorcontrib>Liu, Liyan</creatorcontrib><title>Metabolomics analysis of serum in pediatric nephrotic syndrome based on targeted and non-targeted platforms</title><title>Metabolomics</title><addtitle>Metabolomics</addtitle><addtitle>Metabolomics</addtitle><description>Background and aims
Nephrotic syndrome (NS) is a common pediatric urinary system disease. The aim in this work was to investigate the changes in pediatric NS-related metabolites through serum metabolomics, and explore the new potential metabolites and differential metabolic pathways.
Methods
Serum samples from 40 pediatric patients with nephrotic syndrome and 40 healthy controls were collected. The targeted and non-targeted metabolomics analyses were performed to determine the metabolic changes in pediatric NS. Based on multivariate statistical analysis and the regression model, the serum potential metabolites were screened and different metabolic pathways were explored.
Results
39 differential metabolites in pediatric NS were obtained based on the metabolomics analysis. 12 differential metabolites (serine, C18: 2 (EFA), C18: 2 (FFA), Isonuatigenin 3- [rhamnosyl- (1- > 2) -glucoside], C18: 4 (EFA), C18: 4 (FFA), caprylic acid, citric acid, methylmalonic acid, caproic acid, canavalioside and uroporphyrin were identified to establish the diagnostic model for pediatric NS. Five metabolic pathways including TCA cycle, amino acid metabolism, bile acid biosynthesis, linoleate metabolism and glyoxylate and dicarboxylate metabolism were the key differential metabolic pathways.
Conclusion
These data elucidated the metabolic alterations associated with pediatric NS and suggested a new diagnosis model for monitoring pediatric NS. The current study provides the useful information to bridge the gaps in our understanding of the metabolic alterations associated with pediatric NS and might facilitate the characterization of pediatric NS patients by performing serum metabolomics.
Graphic Abstract</description><subject>Amino acids</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cell Biology</subject><subject>Citric acid</subject><subject>Developmental Biology</subject><subject>Kidney diseases</subject><subject>Life Sciences</subject><subject>Metabolic pathways</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Molecular Medicine</subject><subject>Nephrotic syndrome</subject><subject>Octanoic acid</subject><subject>Original Article</subject><subject>Pediatrics</subject><subject>Serine</subject><subject>Statistical analysis</subject><subject>Tricarboxylic acid cycle</subject><issn>1573-3882</issn><issn>1573-3890</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kTtPwzAUhS0EglL4AwzIEgtLwI8kTkZU8ZJALDBbduKUlMQOvs7Qf49LSpEYmHxkf_dc-RyEzii5ooSIa6CUkzwhjCaEiqJI6B6a0UzwhBcl2d_pgh2hY4AVIWlaCnKIjjiPOEmzGfp4NkFp17m-rQArq7o1tIBdg8H4scetxYOpWxV8W2FrhnfvQlSwtrV3vcFagamxszgovzQhamVrbJ1NdhdDp0LjfA8n6KBRHZjT7TlHb3e3r4uH5Onl_nFx85RUXGQhKeu0EJlghjdFLnRBc5bnOquEFrkoK94wLWhapXWpVV7HT2W6UamgrNAm1XnJ5-hy8h28-xwNBNm3UJmuU9a4ESTLiBAsRsEievEHXbnRxxQmimdx04ZiE1V5B-BNIwff9sqvJSVyU4WcqpCxCvldhaRx6HxrPere1LuRn-wjwCcA4pNdGv-7-x_bL6h0lIc</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Guo, Jing</creator><creator>Zhao, Jinhui</creator><creator>Liu, Rui</creator><creator>Yu, Jiaying</creator><creator>Zhang, Mingjia</creator><creator>Wang, Hanming</creator><creator>Liu, Liyan</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6766-9508</orcidid></search><sort><creationdate>20210401</creationdate><title>Metabolomics analysis of serum in pediatric nephrotic syndrome based on targeted and non-targeted platforms</title><author>Guo, Jing ; Zhao, Jinhui ; Liu, Rui ; Yu, Jiaying ; Zhang, Mingjia ; Wang, Hanming ; Liu, Liyan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-9d487572e3f867b816266b5c7b7679c3f2b714c4d9ba6d0045bfa47128be4b693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Amino acids</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cell Biology</topic><topic>Citric acid</topic><topic>Developmental Biology</topic><topic>Kidney diseases</topic><topic>Life Sciences</topic><topic>Metabolic pathways</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Molecular Medicine</topic><topic>Nephrotic syndrome</topic><topic>Octanoic acid</topic><topic>Original Article</topic><topic>Pediatrics</topic><topic>Serine</topic><topic>Statistical analysis</topic><topic>Tricarboxylic acid cycle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Jing</creatorcontrib><creatorcontrib>Zhao, Jinhui</creatorcontrib><creatorcontrib>Liu, Rui</creatorcontrib><creatorcontrib>Yu, Jiaying</creatorcontrib><creatorcontrib>Zhang, Mingjia</creatorcontrib><creatorcontrib>Wang, Hanming</creatorcontrib><creatorcontrib>Liu, Liyan</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Metabolomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Jing</au><au>Zhao, Jinhui</au><au>Liu, Rui</au><au>Yu, Jiaying</au><au>Zhang, Mingjia</au><au>Wang, Hanming</au><au>Liu, Liyan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolomics analysis of serum in pediatric nephrotic syndrome based on targeted and non-targeted platforms</atitle><jtitle>Metabolomics</jtitle><stitle>Metabolomics</stitle><addtitle>Metabolomics</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>17</volume><issue>4</issue><spage>38</spage><epage>38</epage><pages>38-38</pages><artnum>38</artnum><issn>1573-3882</issn><eissn>1573-3890</eissn><abstract>Background and aims
Nephrotic syndrome (NS) is a common pediatric urinary system disease. The aim in this work was to investigate the changes in pediatric NS-related metabolites through serum metabolomics, and explore the new potential metabolites and differential metabolic pathways.
Methods
Serum samples from 40 pediatric patients with nephrotic syndrome and 40 healthy controls were collected. The targeted and non-targeted metabolomics analyses were performed to determine the metabolic changes in pediatric NS. Based on multivariate statistical analysis and the regression model, the serum potential metabolites were screened and different metabolic pathways were explored.
Results
39 differential metabolites in pediatric NS were obtained based on the metabolomics analysis. 12 differential metabolites (serine, C18: 2 (EFA), C18: 2 (FFA), Isonuatigenin 3- [rhamnosyl- (1- > 2) -glucoside], C18: 4 (EFA), C18: 4 (FFA), caprylic acid, citric acid, methylmalonic acid, caproic acid, canavalioside and uroporphyrin were identified to establish the diagnostic model for pediatric NS. Five metabolic pathways including TCA cycle, amino acid metabolism, bile acid biosynthesis, linoleate metabolism and glyoxylate and dicarboxylate metabolism were the key differential metabolic pathways.
Conclusion
These data elucidated the metabolic alterations associated with pediatric NS and suggested a new diagnosis model for monitoring pediatric NS. The current study provides the useful information to bridge the gaps in our understanding of the metabolic alterations associated with pediatric NS and might facilitate the characterization of pediatric NS patients by performing serum metabolomics.
Graphic Abstract</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33788045</pmid><doi>10.1007/s11306-021-01788-1</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-6766-9508</orcidid></addata></record> |
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| subjects | Amino acids Biochemistry Biomedical and Life Sciences Biomedicine Cell Biology Citric acid Developmental Biology Kidney diseases Life Sciences Metabolic pathways Metabolism Metabolites Metabolomics Molecular Medicine Nephrotic syndrome Octanoic acid Original Article Pediatrics Serine Statistical analysis Tricarboxylic acid cycle |
| title | Metabolomics analysis of serum in pediatric nephrotic syndrome based on targeted and non-targeted platforms |
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