Targeted Metabolic Profiling in Determining the Metabolic Heterogeneity in Human Biopsies of Different Grades of Glioma

Gliomas are intricate tumors with numerous metabolic and genetic abnormalities contributing to their aggressive phenotypes and poor prognoses. The study aims at identifying the key molecular metabolic as well as gene expressional variations that could be used to differentiate between different grade...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Molecular neurobiology 2024-10
Hauptverfasser: Vanisree, Arambakkam Janardhanam, Thamizhoviya, Gangadharan, Thiruvalluvan, Arumugam
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title Molecular neurobiology
container_volume
creator Vanisree, Arambakkam Janardhanam
Thamizhoviya, Gangadharan
Thiruvalluvan, Arumugam
description Gliomas are intricate tumors with numerous metabolic and genetic abnormalities contributing to their aggressive phenotypes and poor prognoses. The study aims at identifying the key molecular metabolic as well as gene expressional variations that could be used to differentiate between different grades of glioma to obtain deeper insights the about metabolic status of glioma that may serve as good candidates of diagnosis in future. In the present study, the metabolomic profiling along with clinical and expressional analyses of glioma biopsies (n = 52; patients comprising both of benign and malignant lesions) was analyzed. The biopsies were subjected to gene/protein expressional analysis using RT-PCR and western blotting and also were subjected to metabolite analyses. The results of the gene/protein expressional analysis exhibited elevated levels of carnitine palmitoyltransferase, monoglyceride lipase, human phosphofructokinase, and isocitrate dehydrogenase in higher grades of glioma when compared to those of control. Our study suggested that the metabolites and gene/protein expressional levels were found to be discriminative among the grades of glioma. The study is deemed as a provider of deeper insights that are essential for differential therapeutic approaches that specifically target the dysregulated metabolome to the benefit of patients.
doi_str_mv 10.1007/s12035-024-04538-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3120061444</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3120061444</sourcerecordid><originalsourceid>FETCH-LOGICAL-c184t-504a9dae7028c92e43a32778ce80702a21c7b450982191376a014f77c14a1a7f3</originalsourceid><addsrcrecordid>eNpNkM9PwjAUxxujEUT_AQ9mRy_T99qOdkcFBROMHvDclPGGNduK7Yjhv3cIGk8v7_vr8GHsEuEGAdRtRA4iS4HLFGQmdIpHrI9ZlqeImh-zPuhcpGoodY-dxfgBwDmCOmU9kUs55Kj77Gtuw4paWibP1NqFr1yRvAZfuso1q8Q1ybgzQ-2a3du-07_YdOf4FTXk2u0uOt3UtknunV9HRzHxZTJ2ZUmBmjaZBLvca5PK-dqes5PSVpEuDnfA3h4f5qNpOnuZPI3uZmmBWrZpBtLmS0sKuC5yTlJYwZXSBWnoNMuxUAuZQa455ijU0ALKUqkCpUWrSjFg1_vddfCfG4qtqV0sqKpsQ34TjegYwhCllF2U76NF8DEGKs06uNqGrUEwO-BmD9x0wM0PcINd6eqwv1nUtPyr_BIW36Jme0U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3120061444</pqid></control><display><type>article</type><title>Targeted Metabolic Profiling in Determining the Metabolic Heterogeneity in Human Biopsies of Different Grades of Glioma</title><source>SpringerLink Journals - AutoHoldings</source><creator>Vanisree, Arambakkam Janardhanam ; Thamizhoviya, Gangadharan ; Thiruvalluvan, Arumugam</creator><creatorcontrib>Vanisree, Arambakkam Janardhanam ; Thamizhoviya, Gangadharan ; Thiruvalluvan, Arumugam</creatorcontrib><description>Gliomas are intricate tumors with numerous metabolic and genetic abnormalities contributing to their aggressive phenotypes and poor prognoses. The study aims at identifying the key molecular metabolic as well as gene expressional variations that could be used to differentiate between different grades of glioma to obtain deeper insights the about metabolic status of glioma that may serve as good candidates of diagnosis in future. In the present study, the metabolomic profiling along with clinical and expressional analyses of glioma biopsies (n = 52; patients comprising both of benign and malignant lesions) was analyzed. The biopsies were subjected to gene/protein expressional analysis using RT-PCR and western blotting and also were subjected to metabolite analyses. The results of the gene/protein expressional analysis exhibited elevated levels of carnitine palmitoyltransferase, monoglyceride lipase, human phosphofructokinase, and isocitrate dehydrogenase in higher grades of glioma when compared to those of control. Our study suggested that the metabolites and gene/protein expressional levels were found to be discriminative among the grades of glioma. The study is deemed as a provider of deeper insights that are essential for differential therapeutic approaches that specifically target the dysregulated metabolome to the benefit of patients.</description><identifier>ISSN: 0893-7648</identifier><identifier>ISSN: 1559-1182</identifier><identifier>EISSN: 1559-1182</identifier><identifier>DOI: 10.1007/s12035-024-04538-1</identifier><identifier>PMID: 39446218</identifier><language>eng</language><publisher>United States</publisher><ispartof>Molecular neurobiology, 2024-10</ispartof><rights>2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c184t-504a9dae7028c92e43a32778ce80702a21c7b450982191376a014f77c14a1a7f3</cites><orcidid>0000-0003-4942-9871</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39446218$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vanisree, Arambakkam Janardhanam</creatorcontrib><creatorcontrib>Thamizhoviya, Gangadharan</creatorcontrib><creatorcontrib>Thiruvalluvan, Arumugam</creatorcontrib><title>Targeted Metabolic Profiling in Determining the Metabolic Heterogeneity in Human Biopsies of Different Grades of Glioma</title><title>Molecular neurobiology</title><addtitle>Mol Neurobiol</addtitle><description>Gliomas are intricate tumors with numerous metabolic and genetic abnormalities contributing to their aggressive phenotypes and poor prognoses. The study aims at identifying the key molecular metabolic as well as gene expressional variations that could be used to differentiate between different grades of glioma to obtain deeper insights the about metabolic status of glioma that may serve as good candidates of diagnosis in future. In the present study, the metabolomic profiling along with clinical and expressional analyses of glioma biopsies (n = 52; patients comprising both of benign and malignant lesions) was analyzed. The biopsies were subjected to gene/protein expressional analysis using RT-PCR and western blotting and also were subjected to metabolite analyses. The results of the gene/protein expressional analysis exhibited elevated levels of carnitine palmitoyltransferase, monoglyceride lipase, human phosphofructokinase, and isocitrate dehydrogenase in higher grades of glioma when compared to those of control. Our study suggested that the metabolites and gene/protein expressional levels were found to be discriminative among the grades of glioma. The study is deemed as a provider of deeper insights that are essential for differential therapeutic approaches that specifically target the dysregulated metabolome to the benefit of patients.</description><issn>0893-7648</issn><issn>1559-1182</issn><issn>1559-1182</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpNkM9PwjAUxxujEUT_AQ9mRy_T99qOdkcFBROMHvDclPGGNduK7Yjhv3cIGk8v7_vr8GHsEuEGAdRtRA4iS4HLFGQmdIpHrI9ZlqeImh-zPuhcpGoodY-dxfgBwDmCOmU9kUs55Kj77Gtuw4paWibP1NqFr1yRvAZfuso1q8Q1ybgzQ-2a3du-07_YdOf4FTXk2u0uOt3UtknunV9HRzHxZTJ2ZUmBmjaZBLvca5PK-dqes5PSVpEuDnfA3h4f5qNpOnuZPI3uZmmBWrZpBtLmS0sKuC5yTlJYwZXSBWnoNMuxUAuZQa455ijU0ALKUqkCpUWrSjFg1_vddfCfG4qtqV0sqKpsQ34TjegYwhCllF2U76NF8DEGKs06uNqGrUEwO-BmD9x0wM0PcINd6eqwv1nUtPyr_BIW36Jme0U</recordid><startdate>20241024</startdate><enddate>20241024</enddate><creator>Vanisree, Arambakkam Janardhanam</creator><creator>Thamizhoviya, Gangadharan</creator><creator>Thiruvalluvan, Arumugam</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4942-9871</orcidid></search><sort><creationdate>20241024</creationdate><title>Targeted Metabolic Profiling in Determining the Metabolic Heterogeneity in Human Biopsies of Different Grades of Glioma</title><author>Vanisree, Arambakkam Janardhanam ; Thamizhoviya, Gangadharan ; Thiruvalluvan, Arumugam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c184t-504a9dae7028c92e43a32778ce80702a21c7b450982191376a014f77c14a1a7f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vanisree, Arambakkam Janardhanam</creatorcontrib><creatorcontrib>Thamizhoviya, Gangadharan</creatorcontrib><creatorcontrib>Thiruvalluvan, Arumugam</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular neurobiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vanisree, Arambakkam Janardhanam</au><au>Thamizhoviya, Gangadharan</au><au>Thiruvalluvan, Arumugam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Targeted Metabolic Profiling in Determining the Metabolic Heterogeneity in Human Biopsies of Different Grades of Glioma</atitle><jtitle>Molecular neurobiology</jtitle><addtitle>Mol Neurobiol</addtitle><date>2024-10-24</date><risdate>2024</risdate><issn>0893-7648</issn><issn>1559-1182</issn><eissn>1559-1182</eissn><abstract>Gliomas are intricate tumors with numerous metabolic and genetic abnormalities contributing to their aggressive phenotypes and poor prognoses. The study aims at identifying the key molecular metabolic as well as gene expressional variations that could be used to differentiate between different grades of glioma to obtain deeper insights the about metabolic status of glioma that may serve as good candidates of diagnosis in future. In the present study, the metabolomic profiling along with clinical and expressional analyses of glioma biopsies (n = 52; patients comprising both of benign and malignant lesions) was analyzed. The biopsies were subjected to gene/protein expressional analysis using RT-PCR and western blotting and also were subjected to metabolite analyses. The results of the gene/protein expressional analysis exhibited elevated levels of carnitine palmitoyltransferase, monoglyceride lipase, human phosphofructokinase, and isocitrate dehydrogenase in higher grades of glioma when compared to those of control. Our study suggested that the metabolites and gene/protein expressional levels were found to be discriminative among the grades of glioma. The study is deemed as a provider of deeper insights that are essential for differential therapeutic approaches that specifically target the dysregulated metabolome to the benefit of patients.</abstract><cop>United States</cop><pmid>39446218</pmid><doi>10.1007/s12035-024-04538-1</doi><orcidid>https://orcid.org/0000-0003-4942-9871</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0893-7648
ispartof Molecular neurobiology, 2024-10
issn 0893-7648
1559-1182
1559-1182
language eng
recordid cdi_proquest_miscellaneous_3120061444
source SpringerLink Journals - AutoHoldings
title Targeted Metabolic Profiling in Determining the Metabolic Heterogeneity in Human Biopsies of Different Grades of Glioma
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T00%3A21%3A47IST&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=Targeted%20Metabolic%20Profiling%20in%20Determining%20the%20Metabolic%20Heterogeneity%20in%20Human%20Biopsies%20of%20Different%20Grades%20of%20Glioma&rft.jtitle=Molecular%20neurobiology&rft.au=Vanisree,%20Arambakkam%20Janardhanam&rft.date=2024-10-24&rft.issn=0893-7648&rft.eissn=1559-1182&rft_id=info:doi/10.1007/s12035-024-04538-1&rft_dat=%3Cproquest_cross%3E3120061444%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=3120061444&rft_id=info:pmid/39446218&rfr_iscdi=true