ArticleFrontiers in microbiology2024
Individualized lipid profile in urine-derived extracellular vesicles from clinical patients with
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Role of Exosomes During Mycobacterium Tuberculosis Infection: A Double-Edged Sword.Biomedicines · 2026Review
- Article
- Current research progress on extracellular vesicles derived from mesenchymal stem cells in tuberculosis treatment (Review).Molecular medicine reports · 2026Review
- Extracellular Vesicles of Mycobacterium tuberculosis Serve as a Virulence Factor - Current Research Applications.Current microbiology · 2026Review
- Bacterial Membrane Vesicles: Biogenesis, Functions, and Emerging Biotechnological Applications.Microorganisms · 2026Review
- Lipid metabolism in the resuscitation of dormant mycobacterium tuberculosis: molecular resilience, host hijacking, and clinical opportunities.Frontiers in cellular and infection microbiology · 2026Review
- Alterations in the Immune Response in Individuals with Latent Tuberculosis Infection.Pathogens (Basel, Switzerland) · 2025Review
- Knockdown of GCNT2 promoted osteoblast differentiation by activating PI3K/AKT/mTOR pathway in osteoblasts.Scientific reports · 2025Article
- Tuberculosis Patients' Serum Extracellular Vesicles Induce Relevant Immune Responses for Initial Defense Against BCG in Mice.Microorganisms · 2025Article
- Metabolite dynamics over the course of anti-tuberculosis treatment in individuals with mild and severe tuberculosis.PLOS global public health · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Lipids are a key nutrient source for the growth and reproduction of Methods: Urine-derived extracellular vesicles from 41 participants (including healthy, pulmonary tuberculosis, latent tuberculosis patients, and other lung disease groups) were isolated and individually detected using targeted lipidomics and proteomics technology platforms. Biomarkers were screened by multivariate and univariate statistical analysis and evaluated by SPSS software. Correlation analyses were performed on lipids and proteins using the R Hmisc package. Results: Overall, we identified 226 lipids belonging to 14 classes. Of these, 7 potential lipid biomarkers for TB and 6 for latent TB infection (LTBI) were identified, all of which were classified into diacylglycerol (DAG), monoacylglycerol (MAG), free fatty acid (FFA), and cholesteryl ester (CE). Among them, FFA (20:1) was the most promising biomarker target in diagnosing TB/LTBI from other compared groups and also have great diagnostic performance in distinguishing TB from LTBI with AUC of 0.952. In addition, enhanced lipolysis happened as early as individuals got latent Conclusion: This study demonstrated individualized lipid profile of urinary EVs in patients with
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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 Socratic graph.