Mojtaba Oraki Kohshour , Teresa K. Barth , Chiara Huber , Andreas Klingl , Jennifer Grünert , Urs Heilbronner , Monika Budde , Monika Rübekeil , Anton Eberharter , Thorsten Müller , Moritz J. Rossner , Andrea Schmitt , Peter Falkai , Florian J. Raabe , Sergi Papiol , Axel Imhof , Thomas G. Schulze
{"title":"比较精神分裂症患者和健康对照者血浆来源的细胞外囊泡的蛋白质组谱:一项初步研究","authors":"Mojtaba Oraki Kohshour , Teresa K. Barth , Chiara Huber , Andreas Klingl , Jennifer Grünert , Urs Heilbronner , Monika Budde , Monika Rübekeil , Anton Eberharter , Thorsten Müller , Moritz J. Rossner , Andrea Schmitt , Peter Falkai , Florian J. Raabe , Sergi Papiol , Axel Imhof , Thomas G. Schulze","doi":"10.1016/j.schres.2025.09.008","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Studying extracellular vesicles (EVs)—tiny intercellular communicators with a diverse molecular cargo—may provide insight into the poorly understood neuropathology and pathophysiology of schizophrenia (SCZ). Here, we focused on the protein profile of plasma-derived EVs with the aim to detect differences between individuals with SCZ and healthy controls (HCs).</div></div><div><h3>Methods</h3><div>EVs were isolated from blood plasma of 73 individuals with SCZ and 77 HCs and evaluated by nanoparticle tracking analysis, electron microscopy, and Western blot analysis. EV proteins were identified by liquid chromatography coupled with mass spectrometry. Proteomic data were analyzed using logistic regression analyses.</div></div><div><h3>Results</h3><div>A total of 1659 proteins were identified, and analyses were performed with the 1021 proteins with quantitative data available for more than 50 % of the participants in each group (SCZ and HC). Comparing these proteins between the two groups showed no significant differences. An enrichment analysis based on the proteins with a noncorrected significant <em>p</em> value revealed a significant enrichment of pathways connected to complement system. Although comparison of complement components between the two groups did not show significant differences, but it demonstrated that antipsychotics and duration of illness may affect EV protein levels.</div></div><div><h3>Conclusion</h3><div>Overall, even as our findings highlight the importance of medication use and duration of illness on EV protein levels, they suggest that the complement system may be involved in the etiopathology of SCZ. Although, the results of this pilot study need to be replicated in larger research, they may help elucidate the mechanisms involved in the pathophysiology of SCZ.</div></div>","PeriodicalId":21417,"journal":{"name":"Schizophrenia Research","volume":"285 ","pages":"Pages 87-94"},"PeriodicalIF":3.5000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparing the proteome profiling of plasma-derived extracellular vesicles in individuals with schizophrenia and healthy controls: a pilot study\",\"authors\":\"Mojtaba Oraki Kohshour , Teresa K. Barth , Chiara Huber , Andreas Klingl , Jennifer Grünert , Urs Heilbronner , Monika Budde , Monika Rübekeil , Anton Eberharter , Thorsten Müller , Moritz J. Rossner , Andrea Schmitt , Peter Falkai , Florian J. Raabe , Sergi Papiol , Axel Imhof , Thomas G. Schulze\",\"doi\":\"10.1016/j.schres.2025.09.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Studying extracellular vesicles (EVs)—tiny intercellular communicators with a diverse molecular cargo—may provide insight into the poorly understood neuropathology and pathophysiology of schizophrenia (SCZ). Here, we focused on the protein profile of plasma-derived EVs with the aim to detect differences between individuals with SCZ and healthy controls (HCs).</div></div><div><h3>Methods</h3><div>EVs were isolated from blood plasma of 73 individuals with SCZ and 77 HCs and evaluated by nanoparticle tracking analysis, electron microscopy, and Western blot analysis. EV proteins were identified by liquid chromatography coupled with mass spectrometry. Proteomic data were analyzed using logistic regression analyses.</div></div><div><h3>Results</h3><div>A total of 1659 proteins were identified, and analyses were performed with the 1021 proteins with quantitative data available for more than 50 % of the participants in each group (SCZ and HC). Comparing these proteins between the two groups showed no significant differences. An enrichment analysis based on the proteins with a noncorrected significant <em>p</em> value revealed a significant enrichment of pathways connected to complement system. Although comparison of complement components between the two groups did not show significant differences, but it demonstrated that antipsychotics and duration of illness may affect EV protein levels.</div></div><div><h3>Conclusion</h3><div>Overall, even as our findings highlight the importance of medication use and duration of illness on EV protein levels, they suggest that the complement system may be involved in the etiopathology of SCZ. Although, the results of this pilot study need to be replicated in larger research, they may help elucidate the mechanisms involved in the pathophysiology of SCZ.</div></div>\",\"PeriodicalId\":21417,\"journal\":{\"name\":\"Schizophrenia Research\",\"volume\":\"285 \",\"pages\":\"Pages 87-94\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Schizophrenia Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0920996425003184\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Schizophrenia Research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920996425003184","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Comparing the proteome profiling of plasma-derived extracellular vesicles in individuals with schizophrenia and healthy controls: a pilot study
Background
Studying extracellular vesicles (EVs)—tiny intercellular communicators with a diverse molecular cargo—may provide insight into the poorly understood neuropathology and pathophysiology of schizophrenia (SCZ). Here, we focused on the protein profile of plasma-derived EVs with the aim to detect differences between individuals with SCZ and healthy controls (HCs).
Methods
EVs were isolated from blood plasma of 73 individuals with SCZ and 77 HCs and evaluated by nanoparticle tracking analysis, electron microscopy, and Western blot analysis. EV proteins were identified by liquid chromatography coupled with mass spectrometry. Proteomic data were analyzed using logistic regression analyses.
Results
A total of 1659 proteins were identified, and analyses were performed with the 1021 proteins with quantitative data available for more than 50 % of the participants in each group (SCZ and HC). Comparing these proteins between the two groups showed no significant differences. An enrichment analysis based on the proteins with a noncorrected significant p value revealed a significant enrichment of pathways connected to complement system. Although comparison of complement components between the two groups did not show significant differences, but it demonstrated that antipsychotics and duration of illness may affect EV protein levels.
Conclusion
Overall, even as our findings highlight the importance of medication use and duration of illness on EV protein levels, they suggest that the complement system may be involved in the etiopathology of SCZ. Although, the results of this pilot study need to be replicated in larger research, they may help elucidate the mechanisms involved in the pathophysiology of SCZ.
期刊介绍:
As official journal of the Schizophrenia International Research Society (SIRS) Schizophrenia Research is THE journal of choice for international researchers and clinicians to share their work with the global schizophrenia research community. More than 6000 institutes have online or print (or both) access to this journal - the largest specialist journal in the field, with the largest readership!
Schizophrenia Research''s time to first decision is as fast as 6 weeks and its publishing speed is as fast as 4 weeks until online publication (corrected proof/Article in Press) after acceptance and 14 weeks from acceptance until publication in a printed issue.
The journal publishes novel papers that really contribute to understanding the biology and treatment of schizophrenic disorders; Schizophrenia Research brings together biological, clinical and psychological research in order to stimulate the synthesis of findings from all disciplines involved in improving patient outcomes in schizophrenia.