Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver Disease
Liver diseases represent a significant global health burden, necessitating the development of reliable biomarkers for early detection, prognosis, and therapeutic monitoring. Extracellular vesicles (EVs) have emerged as promising candidates for liver disease biomarkers due to their unique cargo compo...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/24/11/9631 |
| _version_ | 1797597298398593024 |
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| author | Martha Paluschinski Sven Loosen Claus Kordes Verena Keitel Anne Kuebart Timo Brandenburger David Schöler Marianne Wammers Ulf P. Neumann Tom Luedde Mirco Castoldi |
| author_facet | Martha Paluschinski Sven Loosen Claus Kordes Verena Keitel Anne Kuebart Timo Brandenburger David Schöler Marianne Wammers Ulf P. Neumann Tom Luedde Mirco Castoldi |
| author_sort | Martha Paluschinski |
| collection | DOAJ |
| description | Liver diseases represent a significant global health burden, necessitating the development of reliable biomarkers for early detection, prognosis, and therapeutic monitoring. Extracellular vesicles (EVs) have emerged as promising candidates for liver disease biomarkers due to their unique cargo composition, stability, and accessibility in various biological fluids. In this study, we present an optimized workflow for the identification of EVs-based biomarkers in liver disease, encompassing EVs isolation, characterization, cargo analysis, and biomarker validation. Here we show that the levels of microRNAs miR-10a, miR-21, miR-142-3p, miR-150, and miR-223 were different among EVs isolated from patients with nonalcoholic fatty liver disease and autoimmune hepatitis. In addition, IL2, IL8, and interferon-gamma were found to be increased in EVs isolated from patients with cholangiocarcinoma compared with healthy controls. By implementing this optimized workflow, researchers and clinicians can improve the identification and utilization of EVs-based biomarkers, ultimately enhancing liver disease diagnosis, prognosis, and personalized treatment strategies. |
| first_indexed | 2024-03-11T03:04:30Z |
| format | Article |
| id | doaj.art-48e96c3948174d4fa1fef1cfcd421075 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-11T03:04:30Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-48e96c3948174d4fa1fef1cfcd4210752023-11-18T08:01:48ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-06-012411963110.3390/ijms24119631Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver DiseaseMartha Paluschinski0Sven Loosen1Claus Kordes2Verena Keitel3Anne Kuebart4Timo Brandenburger5David Schöler6Marianne Wammers7Ulf P. Neumann8Tom Luedde9Mirco Castoldi10Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Anesthesiology, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Anesthesiology, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyVisceral and Transplant Surgery, University Hospital RWTH Aachen, 52074 Aachen, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine University, 40225 Düsseldorf, GermanyLiver diseases represent a significant global health burden, necessitating the development of reliable biomarkers for early detection, prognosis, and therapeutic monitoring. Extracellular vesicles (EVs) have emerged as promising candidates for liver disease biomarkers due to their unique cargo composition, stability, and accessibility in various biological fluids. In this study, we present an optimized workflow for the identification of EVs-based biomarkers in liver disease, encompassing EVs isolation, characterization, cargo analysis, and biomarker validation. Here we show that the levels of microRNAs miR-10a, miR-21, miR-142-3p, miR-150, and miR-223 were different among EVs isolated from patients with nonalcoholic fatty liver disease and autoimmune hepatitis. In addition, IL2, IL8, and interferon-gamma were found to be increased in EVs isolated from patients with cholangiocarcinoma compared with healthy controls. By implementing this optimized workflow, researchers and clinicians can improve the identification and utilization of EVs-based biomarkers, ultimately enhancing liver disease diagnosis, prognosis, and personalized treatment strategies.https://www.mdpi.com/1422-0067/24/11/9631extracellular vesiclesnanoparticle-tracking analysisliver diseasesbiomarkermicroRNAcytokine |
| spellingShingle | Martha Paluschinski Sven Loosen Claus Kordes Verena Keitel Anne Kuebart Timo Brandenburger David Schöler Marianne Wammers Ulf P. Neumann Tom Luedde Mirco Castoldi Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver Disease International Journal of Molecular Sciences extracellular vesicles nanoparticle-tracking analysis liver diseases biomarker microRNA cytokine |
| title | Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver Disease |
| title_full | Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver Disease |
| title_fullStr | Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver Disease |
| title_full_unstemmed | Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver Disease |
| title_short | Extracellular Vesicles as Markers of Liver Function: Optimized Workflow for Biomarker Identification in Liver Disease |
| title_sort | extracellular vesicles as markers of liver function optimized workflow for biomarker identification in liver disease |
| topic | extracellular vesicles nanoparticle-tracking analysis liver diseases biomarker microRNA cytokine |
| url | https://www.mdpi.com/1422-0067/24/11/9631 |
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