LC-HRMS Lipidomic Fingerprints in Serbian Cohort of Schizophrenia Patients
Schizophrenia (SCH) is a major mental illness that causes impaired cognitive function and long-term disability, so the requirements for reliable biomarkers for early diagnosis and therapy of SCH are essential. The objective of this work was an untargeted lipidomic study of serum samples from a Serbi...
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creator | Marković, Suzana Jadranin, Milka Miladinović, Zoran Gavrilović, Aleksandra Avramović, Nataša Takić, Marija Tasic, Ljubica Tešević, Vele Mandić, Boris |
description | Schizophrenia (SCH) is a major mental illness that causes impaired cognitive function and long-term disability, so the requirements for reliable biomarkers for early diagnosis and therapy of SCH are essential. The objective of this work was an untargeted lipidomic study of serum samples from a Serbian cohort including 30 schizophrenia (SCH) patients and 31 non-psychiatric control (C) individuals by applying liquid chromatography (LC) coupled with high-resolution mass spectrometry (HRMS) and chemometric analyses. Principal component analysis (PCA) of all samples indicated no clear separation between SCH and C groups but indicated clear gender separation in the C group. Multivariate statistical analyses (PCA and orthogonal partial least squares discriminant analysis (OPLS-DA)) of gender-differentiated SCH and C groups established forty-nine differential lipids in the differentiation of male SCH (SCH-M) patients and male controls (C-M), while sixty putative biomarkers were identified in the differentiation of female SCH patients (SCH-F) and female controls (C-F). Lipidomic study of gender-differentiated groups, between SCH-M and C-M and between SCH-F and C-F groups, confirmed that lipids metabolism was altered and the content of the majority of the most affected lipid classes, glycerophospholipids (GP), sphingolipids (SP), glycerolipids (GL) and fatty acids (FA), was decreased compared to controls. From differential lipid metabolites with higher content in both SCH-M and SCH-F patients groups compared to their non-psychiatric controls, there were four common lipid molecules: ceramides Cer 34:2, and Cer 34:1, lysophosphatidylcholine LPC 16:0 and triacylglycerol TG 48:2. Significant alteration of lipids metabolism confirmed the importance of metabolic pathways in the pathogenesis of schizophrenia. |
doi_str_mv | 10.3390/ijms251910266 |
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The objective of this work was an untargeted lipidomic study of serum samples from a Serbian cohort including 30 schizophrenia (SCH) patients and 31 non-psychiatric control (C) individuals by applying liquid chromatography (LC) coupled with high-resolution mass spectrometry (HRMS) and chemometric analyses. Principal component analysis (PCA) of all samples indicated no clear separation between SCH and C groups but indicated clear gender separation in the C group. Multivariate statistical analyses (PCA and orthogonal partial least squares discriminant analysis (OPLS-DA)) of gender-differentiated SCH and C groups established forty-nine differential lipids in the differentiation of male SCH (SCH-M) patients and male controls (C-M), while sixty putative biomarkers were identified in the differentiation of female SCH patients (SCH-F) and female controls (C-F). Lipidomic study of gender-differentiated groups, between SCH-M and C-M and between SCH-F and C-F groups, confirmed that lipids metabolism was altered and the content of the majority of the most affected lipid classes, glycerophospholipids (GP), sphingolipids (SP), glycerolipids (GL) and fatty acids (FA), was decreased compared to controls. From differential lipid metabolites with higher content in both SCH-M and SCH-F patients groups compared to their non-psychiatric controls, there were four common lipid molecules: ceramides Cer 34:2, and Cer 34:1, lysophosphatidylcholine LPC 16:0 and triacylglycerol TG 48:2. Significant alteration of lipids metabolism confirmed the importance of metabolic pathways in the pathogenesis of schizophrenia.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms251910266</identifier><identifier>PMID: 39408605</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Accuracy ; Adult ; Biomarkers ; Biomarkers - blood ; Brain ; Case-Control Studies ; Chromatography, Liquid - methods ; Cohort Studies ; Datasets ; Development and progression ; Diagnosis ; Disease ; Female ; Females ; Gender identity ; Health aspects ; Humans ; Lipid Metabolism ; Lipidomics - methods ; Lipids ; Lipids - blood ; Male ; Males ; Mass Spectrometry - methods ; Mental disorders ; Metabolism ; Middle Aged ; Principal Component Analysis ; Schizophrenia ; Schizophrenia - blood ; Schizophrenia - metabolism ; Serbia ; Variables</subject><ispartof>International journal of molecular sciences, 2024-10, Vol.25 (19), p.10266</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c369t-8f74d3a4c1cc03b239228d1a86e88ec4b5fdfc614368e5e6f699fc64a0128a7b3</cites><orcidid>0000-0001-7338-0161 ; 0000-0003-2086-9064 ; 0000-0002-4235-3504 ; 0000-0001-8449-165X ; 0000-0003-2930-7332 ; 0000-0001-7060-9055</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11476971/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11476971/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39408605$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marković, Suzana</creatorcontrib><creatorcontrib>Jadranin, Milka</creatorcontrib><creatorcontrib>Miladinović, Zoran</creatorcontrib><creatorcontrib>Gavrilović, Aleksandra</creatorcontrib><creatorcontrib>Avramović, Nataša</creatorcontrib><creatorcontrib>Takić, Marija</creatorcontrib><creatorcontrib>Tasic, Ljubica</creatorcontrib><creatorcontrib>Tešević, Vele</creatorcontrib><creatorcontrib>Mandić, Boris</creatorcontrib><title>LC-HRMS Lipidomic Fingerprints in Serbian Cohort of Schizophrenia Patients</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Schizophrenia (SCH) is a major mental illness that causes impaired cognitive function and long-term disability, so the requirements for reliable biomarkers for early diagnosis and therapy of SCH are essential. The objective of this work was an untargeted lipidomic study of serum samples from a Serbian cohort including 30 schizophrenia (SCH) patients and 31 non-psychiatric control (C) individuals by applying liquid chromatography (LC) coupled with high-resolution mass spectrometry (HRMS) and chemometric analyses. Principal component analysis (PCA) of all samples indicated no clear separation between SCH and C groups but indicated clear gender separation in the C group. Multivariate statistical analyses (PCA and orthogonal partial least squares discriminant analysis (OPLS-DA)) of gender-differentiated SCH and C groups established forty-nine differential lipids in the differentiation of male SCH (SCH-M) patients and male controls (C-M), while sixty putative biomarkers were identified in the differentiation of female SCH patients (SCH-F) and female controls (C-F). Lipidomic study of gender-differentiated groups, between SCH-M and C-M and between SCH-F and C-F groups, confirmed that lipids metabolism was altered and the content of the majority of the most affected lipid classes, glycerophospholipids (GP), sphingolipids (SP), glycerolipids (GL) and fatty acids (FA), was decreased compared to controls. From differential lipid metabolites with higher content in both SCH-M and SCH-F patients groups compared to their non-psychiatric controls, there were four common lipid molecules: ceramides Cer 34:2, and Cer 34:1, lysophosphatidylcholine LPC 16:0 and triacylglycerol TG 48:2. Significant alteration of lipids metabolism confirmed the importance of metabolic pathways in the pathogenesis of schizophrenia.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Brain</subject><subject>Case-Control Studies</subject><subject>Chromatography, Liquid - methods</subject><subject>Cohort Studies</subject><subject>Datasets</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Disease</subject><subject>Female</subject><subject>Females</subject><subject>Gender identity</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Lipid Metabolism</subject><subject>Lipidomics - methods</subject><subject>Lipids</subject><subject>Lipids - blood</subject><subject>Male</subject><subject>Males</subject><subject>Mass Spectrometry - methods</subject><subject>Mental disorders</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Principal Component Analysis</subject><subject>Schizophrenia</subject><subject>Schizophrenia - blood</subject><subject>Schizophrenia - metabolism</subject><subject>Serbia</subject><subject>Variables</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkU1vEzEQhi0EoqVw5IpW4sJli7_WHydURZSCgkAEzpbXO04c7drB3iDRX19HLaVByAd77Gfe8cyL0EuCzxnT-G3YToV2RBNMhXiETgmntMVYyMcPzifoWSlbjCmjnX6KTpjmWAncnaJPy0V79e3zqlmGXRjSFFxzGeIa8i6HOJcmxGYFuQ82Nou0SXlukm9WbhOu026TIQbbfLVzgMo-R0-8HQu8uNvP0I_L998XV-3yy4ePi4tl65jQc6u85AOz3BHnMOsp05SqgVglQClwvO_84J0gnAkFHQgvtK4xt5hQZWXPztC7W93dvp9gcLV2tqOpH55s_m2SDeb4JYaNWadfhhAuhZakKry5U8jp5x7KbKZQHIyjjZD2xTBCJJad5rKir_9Bt2mfY-3vQAkhOOvEX2ptRzAh-lQLu4OouVCEStlVJyp1_h-qrgHq3FMEH-r9UUJ7m-ByKiWDv2-SYHNw3xy5X_lXDydzT_-xm90ASVSpLA</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Marković, Suzana</creator><creator>Jadranin, Milka</creator><creator>Miladinović, Zoran</creator><creator>Gavrilović, Aleksandra</creator><creator>Avramović, Nataša</creator><creator>Takić, Marija</creator><creator>Tasic, Ljubica</creator><creator>Tešević, Vele</creator><creator>Mandić, Boris</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7338-0161</orcidid><orcidid>https://orcid.org/0000-0003-2086-9064</orcidid><orcidid>https://orcid.org/0000-0002-4235-3504</orcidid><orcidid>https://orcid.org/0000-0001-8449-165X</orcidid><orcidid>https://orcid.org/0000-0003-2930-7332</orcidid><orcidid>https://orcid.org/0000-0001-7060-9055</orcidid></search><sort><creationdate>20241001</creationdate><title>LC-HRMS Lipidomic Fingerprints in Serbian Cohort of Schizophrenia Patients</title><author>Marković, Suzana ; Jadranin, Milka ; Miladinović, Zoran ; Gavrilović, Aleksandra ; Avramović, Nataša ; Takić, Marija ; Tasic, Ljubica ; Tešević, Vele ; Mandić, Boris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-8f74d3a4c1cc03b239228d1a86e88ec4b5fdfc614368e5e6f699fc64a0128a7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Adult</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Brain</topic><topic>Case-Control Studies</topic><topic>Chromatography, Liquid - methods</topic><topic>Cohort Studies</topic><topic>Datasets</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Disease</topic><topic>Female</topic><topic>Females</topic><topic>Gender identity</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Lipid Metabolism</topic><topic>Lipidomics - methods</topic><topic>Lipids</topic><topic>Lipids - blood</topic><topic>Male</topic><topic>Males</topic><topic>Mass Spectrometry - methods</topic><topic>Mental disorders</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Principal Component Analysis</topic><topic>Schizophrenia</topic><topic>Schizophrenia - blood</topic><topic>Schizophrenia - metabolism</topic><topic>Serbia</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marković, Suzana</creatorcontrib><creatorcontrib>Jadranin, Milka</creatorcontrib><creatorcontrib>Miladinović, Zoran</creatorcontrib><creatorcontrib>Gavrilović, Aleksandra</creatorcontrib><creatorcontrib>Avramović, Nataša</creatorcontrib><creatorcontrib>Takić, Marija</creatorcontrib><creatorcontrib>Tasic, Ljubica</creatorcontrib><creatorcontrib>Tešević, Vele</creatorcontrib><creatorcontrib>Mandić, Boris</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><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>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marković, Suzana</au><au>Jadranin, Milka</au><au>Miladinović, Zoran</au><au>Gavrilović, Aleksandra</au><au>Avramović, Nataša</au><au>Takić, Marija</au><au>Tasic, Ljubica</au><au>Tešević, Vele</au><au>Mandić, Boris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>LC-HRMS Lipidomic Fingerprints in Serbian Cohort of Schizophrenia Patients</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2024-10-01</date><risdate>2024</risdate><volume>25</volume><issue>19</issue><spage>10266</spage><pages>10266-</pages><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>Schizophrenia (SCH) is a major mental illness that causes impaired cognitive function and long-term disability, so the requirements for reliable biomarkers for early diagnosis and therapy of SCH are essential. The objective of this work was an untargeted lipidomic study of serum samples from a Serbian cohort including 30 schizophrenia (SCH) patients and 31 non-psychiatric control (C) individuals by applying liquid chromatography (LC) coupled with high-resolution mass spectrometry (HRMS) and chemometric analyses. Principal component analysis (PCA) of all samples indicated no clear separation between SCH and C groups but indicated clear gender separation in the C group. Multivariate statistical analyses (PCA and orthogonal partial least squares discriminant analysis (OPLS-DA)) of gender-differentiated SCH and C groups established forty-nine differential lipids in the differentiation of male SCH (SCH-M) patients and male controls (C-M), while sixty putative biomarkers were identified in the differentiation of female SCH patients (SCH-F) and female controls (C-F). Lipidomic study of gender-differentiated groups, between SCH-M and C-M and between SCH-F and C-F groups, confirmed that lipids metabolism was altered and the content of the majority of the most affected lipid classes, glycerophospholipids (GP), sphingolipids (SP), glycerolipids (GL) and fatty acids (FA), was decreased compared to controls. From differential lipid metabolites with higher content in both SCH-M and SCH-F patients groups compared to their non-psychiatric controls, there were four common lipid molecules: ceramides Cer 34:2, and Cer 34:1, lysophosphatidylcholine LPC 16:0 and triacylglycerol TG 48:2. Significant alteration of lipids metabolism confirmed the importance of metabolic pathways in the pathogenesis of schizophrenia.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39408605</pmid><doi>10.3390/ijms251910266</doi><orcidid>https://orcid.org/0000-0001-7338-0161</orcidid><orcidid>https://orcid.org/0000-0003-2086-9064</orcidid><orcidid>https://orcid.org/0000-0002-4235-3504</orcidid><orcidid>https://orcid.org/0000-0001-8449-165X</orcidid><orcidid>https://orcid.org/0000-0003-2930-7332</orcidid><orcidid>https://orcid.org/0000-0001-7060-9055</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Adult Biomarkers Biomarkers - blood Brain Case-Control Studies Chromatography, Liquid - methods Cohort Studies Datasets Development and progression Diagnosis Disease Female Females Gender identity Health aspects Humans Lipid Metabolism Lipidomics - methods Lipids Lipids - blood Male Males Mass Spectrometry - methods Mental disorders Metabolism Middle Aged Principal Component Analysis Schizophrenia Schizophrenia - blood Schizophrenia - metabolism Serbia Variables |
title | LC-HRMS Lipidomic Fingerprints in Serbian Cohort of Schizophrenia Patients |
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