Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics

<b>Purpose:</b> Immunodeficiency conditions, which are characterized by reduced immune activity that promotes the development of chronic diseases, are needed for efficient monitoring. A promising area of monitoring and early diagnosis of immunodeficiency diseases is the determination of...

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Main Authors: Ekaterina Demicheva, Fernando Jonathan Polanco Espino, Pavel Vedeneev, Vadim Shevyrin, Aleksey Buhler, Elena Mukhlynina, Olga Berdiugina, Alicia del Carmen Mondragon, Alberto Cepeda Sáez, Aroa Lopez-Santamarina, Alejandra Cardelle-Cobas, Olga Solovyova, Irina Danilova, Jose Manuel Miranda, Elena Kovaleva
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Metabolites
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Online Access:https://www.mdpi.com/2218-1989/15/1/60
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author Ekaterina Demicheva
Fernando Jonathan Polanco Espino
Pavel Vedeneev
Vadim Shevyrin
Aleksey Buhler
Elena Mukhlynina
Olga Berdiugina
Alicia del Carmen Mondragon
Alberto Cepeda Sáez
Aroa Lopez-Santamarina
Alejandra Cardelle-Cobas
Olga Solovyova
Irina Danilova
Jose Manuel Miranda
Elena Kovaleva
author_facet Ekaterina Demicheva
Fernando Jonathan Polanco Espino
Pavel Vedeneev
Vadim Shevyrin
Aleksey Buhler
Elena Mukhlynina
Olga Berdiugina
Alicia del Carmen Mondragon
Alberto Cepeda Sáez
Aroa Lopez-Santamarina
Alejandra Cardelle-Cobas
Olga Solovyova
Irina Danilova
Jose Manuel Miranda
Elena Kovaleva
author_sort Ekaterina Demicheva
collection DOAJ
description <b>Purpose:</b> Immunodeficiency conditions, which are characterized by reduced immune activity that promotes the development of chronic diseases, are needed for efficient monitoring. A promising area of monitoring and early diagnosis of immunodeficiency diseases is the determination of metabolic biomarkers in the blood. <b>Methods:</b> In this work, we identified a set of lipid biomarkers of immunodeficiency states by performing high-performance liquid chromatography–high-resolution mass spectrometry (HPLC-HRMS) analysis of blood plasma samples from mice and processing them with bioinformatics approaches. Potential biomarkers were selected through statistical analysis and further validated by MS/MS. <b>Conclusions:</b> As a result, 15 lipids were confirmed and selected as potential biomarkers of immunodeficiency states. The selected biomarkers can be further studied and serve as promising targets for the early diagnosis of immunodeficiency diseases.
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series Metabolites
spelling doaj-art-d515f50e0d2e449092eb777d557f5e7d2025-01-24T13:41:19ZengMDPI AGMetabolites2218-19892025-01-011516010.3390/metabo15010060Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and BioinformaticsEkaterina Demicheva0Fernando Jonathan Polanco Espino1Pavel Vedeneev2Vadim Shevyrin3Aleksey Buhler4Elena Mukhlynina5Olga Berdiugina6Alicia del Carmen Mondragon7Alberto Cepeda Sáez8Aroa Lopez-Santamarina9Alejandra Cardelle-Cobas10Olga Solovyova11Irina Danilova12Jose Manuel Miranda13Elena Kovaleva14Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, RussiaInstitute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, RussiaInstitute of Chemical Engineering, Ural Federal University, Ekaterinburg 620002, RussiaInstitute of Chemical Engineering, Ural Federal University, Ekaterinburg 620002, RussiaInstitute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, RussiaInstitute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, RussiaInstitute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg 620049, RussiaLaboratorio de Higiene, Inspección y Control de Alimentos, Departamento de Química Analítica, Nutrición y Bromatología, Campus Terra, Universidade da Santiago de Compostela, 27002 Lugo, SpainLaboratorio de Higiene, Inspección y Control de Alimentos, Departamento de Química Analítica, Nutrición y Bromatología, Campus Terra, Universidade da Santiago de Compostela, 27002 Lugo, SpainLaboratorio de Higiene, Inspección y Control de Alimentos, Departamento de Química Analítica, Nutrición y Bromatología, Campus Terra, Universidade da Santiago de Compostela, 27002 Lugo, SpainLaboratorio de Higiene, Inspección y Control de Alimentos, Departamento de Química Analítica, Nutrición y Bromatología, Campus Terra, Universidade da Santiago de Compostela, 27002 Lugo, SpainInstitute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, RussiaInstitute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, RussiaLaboratorio de Higiene, Inspección y Control de Alimentos, Departamento de Química Analítica, Nutrición y Bromatología, Campus Terra, Universidade da Santiago de Compostela, 27002 Lugo, SpainInstitute of Chemical Engineering, Ural Federal University, Ekaterinburg 620002, Russia<b>Purpose:</b> Immunodeficiency conditions, which are characterized by reduced immune activity that promotes the development of chronic diseases, are needed for efficient monitoring. A promising area of monitoring and early diagnosis of immunodeficiency diseases is the determination of metabolic biomarkers in the blood. <b>Methods:</b> In this work, we identified a set of lipid biomarkers of immunodeficiency states by performing high-performance liquid chromatography–high-resolution mass spectrometry (HPLC-HRMS) analysis of blood plasma samples from mice and processing them with bioinformatics approaches. Potential biomarkers were selected through statistical analysis and further validated by MS/MS. <b>Conclusions:</b> As a result, 15 lipids were confirmed and selected as potential biomarkers of immunodeficiency states. The selected biomarkers can be further studied and serve as promising targets for the early diagnosis of immunodeficiency diseases.https://www.mdpi.com/2218-1989/15/1/60lipidomicsmass spectrometrybiomarkersblood
spellingShingle Ekaterina Demicheva
Fernando Jonathan Polanco Espino
Pavel Vedeneev
Vadim Shevyrin
Aleksey Buhler
Elena Mukhlynina
Olga Berdiugina
Alicia del Carmen Mondragon
Alberto Cepeda Sáez
Aroa Lopez-Santamarina
Alejandra Cardelle-Cobas
Olga Solovyova
Irina Danilova
Jose Manuel Miranda
Elena Kovaleva
Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics
Metabolites
lipidomics
mass spectrometry
biomarkers
blood
title Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics
title_full Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics
title_fullStr Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics
title_full_unstemmed Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics
title_short Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics
title_sort comparative study of lipid profile for mice treated with cyclophosphamide by hplc hrms and bioinformatics
topic lipidomics
mass spectrometry
biomarkers
blood
url https://www.mdpi.com/2218-1989/15/1/60
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