Metabolomic profiling of deep vein thrombosis
Deep vein thrombosis (DVT) of the lower extremities is one of the most common peripheral vascular diseases, with significant complications and sequelae. Metabolomics aims to identify small molecules in biological samples. It can serve as a promising method for screening compounds that can be used for early disease detection, diagnosis, treatment response prediction, and prognosis. In addition, high-throughput metabolomics screening can yield significant insights into the pathophysiological pathways of DVT. Currently, the metabolomic profiles of DVT have yielded inconsistent expression patterns. This article examines the recent advancements in metabolomic studies of DVT and analyzes the factors that may influence the results.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:39 |
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| Enthalten in: |
Phlebology - 39(2024), 3 vom: 15. März, Seite 154-168 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Jiang, Weiguang [VerfasserIn] |
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| Links: |
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| Themen: |
Deep vein thrombosis |
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| Anmerkungen: |
Date Completed 14.03.2024 Date Revised 16.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1177/02683555231215199 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM364834021 |
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| 520 | |a Deep vein thrombosis (DVT) of the lower extremities is one of the most common peripheral vascular diseases, with significant complications and sequelae. Metabolomics aims to identify small molecules in biological samples. It can serve as a promising method for screening compounds that can be used for early disease detection, diagnosis, treatment response prediction, and prognosis. In addition, high-throughput metabolomics screening can yield significant insights into the pathophysiological pathways of DVT. Currently, the metabolomic profiles of DVT have yielded inconsistent expression patterns. This article examines the recent advancements in metabolomic studies of DVT and analyzes the factors that may influence the results | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Bao, Yongtao |e verfasserin |4 aut | |
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