ArticleJournal of extracellular vesicles2020
Metabolic characteristics of large and small extracellular vesicles from pleural effusion reveal biomarker candidates for the diagnosis of tuberculosis and malignancy.
Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.
- Mapping the knowledge domains of literature on hepatocellular carcinoma and liver failure: a bibliometric approach.Frontiers in oncology · 2025Pooled it
- Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer.Molecular oncology · 2026Article
- Unraveling the multidimensional pleural ecosystem of lung cancer-associated malignant pleural effusion.Cancer cell international · 2026Review
- Proteomic and Lipidomic Profiling of Immune Cell-Derived Subpopulations of Extracellular Vesicles.Proteomics · 2026Article
- Metabolic biomarkers differentiate extrapulmonary tuberculosis from pulmonary TB and non-TB pleural effusions.Frontiers in medicine · 2026Article
- Machine learning models based on laboratory data: new insight into the differential diagnosis of tuberculous and viral meningitis.Frontiers in cellular and infection microbiology · 2026Article
- Extracellular vesicles in metabolic perspective: mechanism and targeted therapy.Journal of nanobiotechnology · 2025Review
- Sphingolipids in Extracellular Vesicles Released From the Skeletal Muscle Plasma Membrane Control Muscle Stem Cell Fate During Muscle Regeneration.Journal of extracellular vesicles · 2025Article
- Cancer-Specific RNA Modifications in Tumour-Derived Extracellular Vesicles Promote Tumour Growth.Journal of extracellular vesicles · 2025Article
- Exosomes: from basic research to clinical diagnostic and therapeutic applications in cancer.Cellular oncology (Dordrecht, Netherlands) · 2025Review
- Exosomal Lipids in Cancer Progression and Metastasis.Cancer medicine · 2025Review
- A metabolic fingerprint of ovarian cancer: a novel diagnostic strategy employing plasma EV-based metabolomics and machine learning algorithms.Journal of ovarian research · 2025Article
- Application of the metagenomic next-generation sequencing technology to identify the causes of pleural effusion.Frontiers in medicine · 2025Article
- Multi-omics analysis of small extracellular vesicles in osteoarthritis: bridging the gap between molecular insights and clinical applications.Burns & trauma · 2025Review
- Proteomics and Metabolic Characteristics of Boar Seminal Plasma Extracellular Vesicles Reveal Biomarker Candidates Related to Sperm Motility.Journal of proteome research · 2024Article
- PD-1/CD80Nature communications · 2024Article
- Macrophage-derived ectosomal miR-350-3p promotes osteoarthritis progression through downregulating chondrocyte H3K36 methyltransferase NSD1.Cell death discovery · 2024Article
- Kynurenine in IDO1Journal of translational medicine · 2024Article
- Metabolomic biomarkers in liquid biopsy: accurate cancer diagnosis and prognosis monitoring.Frontiers in oncology · 2024Review
- Metabolic features of tumor-derived extracellular vesicles: challenges and opportunities.Extracellular vesicles and circulating nucleic acids · 2024Review
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pleural effusion is a common respiratory disease worldwide; however, rapid and accurate diagnoses of tuberculosis pleural effusion (TPE) and malignancy pleural effusion (MPE) remain challenging. Although extracellular vesicles (EVs) have been confirmed as promising sources of disease biomarkers, little is known about the metabolite compositions of its subpopulations and their roles in the diagnosis of pleural effusion. Here, we performed metabolomics and lipidomics analysis to investigate the metabolite characteristics of two EV subpopulations derived from pleural effusion by differential ultracentrifugation, namely large EVs (lEVs, pelleted at 20,000 × g) and small EVs (sEVs, pelleted at 110,000 × g), and assessed their metabolite differences between tuberculosis and malignancy. A total of 579 metabolites, including amino acids, acylcarnitines, organic acids, steroids, amides and various lipid species, were detected. The results showed that the metabolic profiles of lEVs and sEVs overlapped with and difference from each other but significantly differed from those of pleural effusion. Additionally, different type of vesicles and pleural effusion showed unique metabolic enrichments. Furthermore, lEVs displayed more significant and larger metabolic alterations between the tuberculosis and malignancy groups, and their differential metabolites were more closely related to clinical parameters than those of sEV. Finally, a panel of four biomarker candidates, including phenylalanine, leucine, phosphatidylcholine 35:0, and sphingomyelin 44:3, in pleural lEVs was defined based on the comprehensive discovery and validation workflow. This panel showed high performance for distinguishing TPE and MPE, particularly in patients with delayed or missed diagnosis, such as the area under the receiver-operating characteristic curve (AUC) >0.95 in both sets. We conducted comprehensive metabolic profiling analysis of EVs, and further explored the metabolic reprogramming of tuberculosis and malignancy at the level of metabolites in lEVs and sEVs, providing insight into the mechanism of pleural effusion, and identifying novel biomarkers for diagnosing TPE and MPE.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.