Anastasia Golubova, Elena Stekolshchikova, Anna Gareeva, Inessa Akhmerova, Ilgiz Timerbulatov, Valeria Zakurazhnaya, Daria Riabinina, Alexander Reznik, Anna Morozova, Denis Andreyuk, Georgiy Kostyuk, Daria Petrova, Anna Serkina, Philipp Khaitovich, Anna Tkachev
{"title":"血浆脂质改变与精神病性和情感性障碍患者的区别。","authors":"Anastasia Golubova, Elena Stekolshchikova, Anna Gareeva, Inessa Akhmerova, Ilgiz Timerbulatov, Valeria Zakurazhnaya, Daria Riabinina, Alexander Reznik, Anna Morozova, Denis Andreyuk, Georgiy Kostyuk, Daria Petrova, Anna Serkina, Philipp Khaitovich, Anna Tkachev","doi":"10.3390/biom15091296","DOIUrl":null,"url":null,"abstract":"<p><p>Psychotic and affective disorders, including schizophrenia (SCZ) and depression (MDD), affect millions of people globally. The overlapping symptoms of these diseases and the lack of objective diagnostic tools could lead to misdiagnosis. Recent studies suggest that the analysis of plasma lipid levels may help to develop new diagnostic tools. In this study, we investigated the plasma lipidome of psychiatric patients and healthy controls to identify disease-specific lipid species. Using untargeted mass spectrometry, we profiled blood plasma lipids from 416 patients with common psychotic and affective disorders and 272 healthy individuals from two different cohorts. We observed lipidome alterations in SCZ and MDD consistent with earlier findings. In total, 144 lipids showed significant changes, with 107 of them being concordant across both disorders, and 37 being discordant. Lipids that differentiated SCZ from MDD were mainly triacylglycerols with polyunsaturated fatty acid residues decreased in MDD. In an additional group of 111 patients with bipolar, schizotypal, and schizoaffective disorders, these lipid markers suggested a trend toward separating psychotic and affective disorders. Furthermore, a logistic regression model trained on lipid data distinguished SCZ from MDD with an ROC AUC of 0.83. Taken together, these results suggest that blood lipid profiling may aid in the objective differentiation of psychotic and affective disorders.</p>","PeriodicalId":8943,"journal":{"name":"Biomolecules","volume":"15 9","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12467233/pdf/","citationCount":"0","resultStr":"{\"title\":\"Blood Plasma Lipid Alterations Differentiating Psychotic and Affective Disorder Patients.\",\"authors\":\"Anastasia Golubova, Elena Stekolshchikova, Anna Gareeva, Inessa Akhmerova, Ilgiz Timerbulatov, Valeria Zakurazhnaya, Daria Riabinina, Alexander Reznik, Anna Morozova, Denis Andreyuk, Georgiy Kostyuk, Daria Petrova, Anna Serkina, Philipp Khaitovich, Anna Tkachev\",\"doi\":\"10.3390/biom15091296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Psychotic and affective disorders, including schizophrenia (SCZ) and depression (MDD), affect millions of people globally. The overlapping symptoms of these diseases and the lack of objective diagnostic tools could lead to misdiagnosis. Recent studies suggest that the analysis of plasma lipid levels may help to develop new diagnostic tools. In this study, we investigated the plasma lipidome of psychiatric patients and healthy controls to identify disease-specific lipid species. Using untargeted mass spectrometry, we profiled blood plasma lipids from 416 patients with common psychotic and affective disorders and 272 healthy individuals from two different cohorts. We observed lipidome alterations in SCZ and MDD consistent with earlier findings. In total, 144 lipids showed significant changes, with 107 of them being concordant across both disorders, and 37 being discordant. Lipids that differentiated SCZ from MDD were mainly triacylglycerols with polyunsaturated fatty acid residues decreased in MDD. In an additional group of 111 patients with bipolar, schizotypal, and schizoaffective disorders, these lipid markers suggested a trend toward separating psychotic and affective disorders. Furthermore, a logistic regression model trained on lipid data distinguished SCZ from MDD with an ROC AUC of 0.83. 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Blood Plasma Lipid Alterations Differentiating Psychotic and Affective Disorder Patients.
Psychotic and affective disorders, including schizophrenia (SCZ) and depression (MDD), affect millions of people globally. The overlapping symptoms of these diseases and the lack of objective diagnostic tools could lead to misdiagnosis. Recent studies suggest that the analysis of plasma lipid levels may help to develop new diagnostic tools. In this study, we investigated the plasma lipidome of psychiatric patients and healthy controls to identify disease-specific lipid species. Using untargeted mass spectrometry, we profiled blood plasma lipids from 416 patients with common psychotic and affective disorders and 272 healthy individuals from two different cohorts. We observed lipidome alterations in SCZ and MDD consistent with earlier findings. In total, 144 lipids showed significant changes, with 107 of them being concordant across both disorders, and 37 being discordant. Lipids that differentiated SCZ from MDD were mainly triacylglycerols with polyunsaturated fatty acid residues decreased in MDD. In an additional group of 111 patients with bipolar, schizotypal, and schizoaffective disorders, these lipid markers suggested a trend toward separating psychotic and affective disorders. Furthermore, a logistic regression model trained on lipid data distinguished SCZ from MDD with an ROC AUC of 0.83. Taken together, these results suggest that blood lipid profiling may aid in the objective differentiation of psychotic and affective disorders.
BiomoleculesBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
3.60%
发文量
1640
审稿时长
18.28 days
期刊介绍:
Biomolecules (ISSN 2218-273X) is an international, peer-reviewed open access journal focusing on biogenic substances and their biological functions, structures, interactions with other molecules, and their microenvironment as well as biological systems. Biomolecules publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.