ArticleBMC medical genomics2020
Exosomal microRNAs are novel circulating biomarkers in cigarette, waterpipe smokers, E-cigarette users and dual smokers.
Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- The Clinical Significance of Transfer RNAs Present in Extracellular Vesicles.International journal of molecular sciences · 2022Pooled it
- Neurogenic Small Molecules Reverse miR-342-3p-Mediated Tumorigenesis in Renal Cell Carcinoma.World journal of oncology · 2026Article
- Nicotine-Mediated Alterations in Exosome Content: Implications for Stroke and Neurological Dysfunction.Biomolecules · 2026Review
- Multidimensional exposure architecture shapes vaping-associated transcriptomic dysregulation in oral epithelium.Frontiers in oncology · 2026Article
- The diagnostic and prognostic value of circulating miR-193b-3p on severe pneumonia.BMC immunology · 2025Article
- Extracellular vesicle-encapsulated microRNA signatures of cigarette smoking and smoking-related harm.Respiratory medicine · 2025Article
- Smoking induces different expression of miR-320b and miR-10b-5p in plasma extracellular vesicles of non-small cell lung cancer patients.The journal of liquid biopsy · 2025Article
- E-cigarette-induced changes in cell stress and mitochondrial function.Free radical biology & medicine · 2025Article
- Altered expression profile of plasma exosomal microRNAs in exclusive electronic cigarette adult users.Scientific reports · 2025Article
- Article
- The Untapped Biomarker Potential of MicroRNAs for Health Risk-Benefit Analysis of Vaping vs. Smoking.Cells · 2024Review
- The role of miRNA-144-3p/Oprk1/KOR in nicotine dependence and nicotine withdrawal in male rats.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- The potential roles of cigarette smoke-induced extracellular vesicles in oral leukoplakia.European journal of medical research · 2023Review
- PiRNA Obtained through Liquid Biopsy as a Possible Cancer Biomarker.Diagnostics (Basel, Switzerland) · 2023Review
- A Diagnostic Classifier Based on Circulating miRNA Pairs for COPD Using a Machine Learning Approach.Diagnostics (Basel, Switzerland) · 2023Article
- Cardiotoxicity of Electronic Cigarettes and Heat-Not-Burn Tobacco Products-A Problem for the Modern Pediatric Cardiologist.Healthcare (Basel, Switzerland) · 2023Review
- Analysis of serum exosome microRNAs in the rat model of chronic obstructive pulmonary disease.American journal of translational research · 2023Article
- Lung-Based, Exosome Inhibition Mediates Systemic Impacts Following Particulate Matter Exposure.Toxics · 2022Article
- Prognostic Role of Oncogenic and Tumor-Suppressing miRNA Types in Egyptian Uterine Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- Perception of the Food and Drug Administration Electronic Cigarette Flavor Enforcement Policy on Twitter: Observational Study.JMIR public health and surveillance · 2022Observational
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundElectronic cigarettes (e-cigs) vaping, cigarette smoke, and waterpipe tobacco smoking are associated with various cardiopulmonary diseases. microRNAs are present in higher concentration in exosomes that play an important role in various physiological and pathological functions. We hypothesized that the non-coding RNAs transcript may serve as susceptibility to disease biomarkers by smoking and vaping.
methodsPlasma exosomes/EVs from cigarette smokers, waterpipe smokers and dual smokers (cigarette and waterpipe) were characterized for their size, morphology and TEM, Nanosight and immunoblot analysis. Exosomal RNA was used for small RNA library preparation and the library was quantified using the High Sensitivity DNA Analysis on the Agilent 2100 Bioanalyzer system and sequenced using the Illumina NextSeq 500 and were converted to fastq format for mapping genes.
resultsEnrichment of various non-coding RNAs that include microRNAs, tRNAs, piRNAs, snoRNAs, snRNAs, Mt-tRNAs, and other biotypes are shown in exosomes. A comprehensive differential expression analysis of miRNAs, tRNAs and piRNAs showed significant changes across different pairwise comparisons. The seven microRNAs that were common and differentially expressed of when all the smoking and vaping groups were compared with non-smokers (NS) are hsa-let-7a-5p, hsa-miR-21-5p, hsa-miR-29b-3p, hsa-let-7f-5p, hsa-miR-143-3p, hsa-miR-30a-5p and hsa-let-7i-5p. The e-cig vs. NS group has differentially expressed 5 microRNAs (hsa-miR-224-5p, hsa-miR-193b-3p, hsa-miR-30e-5p, hsa-miR-423-3p, hsa-miR-365a-3p, and hsa-miR-365b-3p), which are not expressed in other three groups. Gene set enrichment analysis of microRNAs showed significant changes in the top six enriched functions that consisted of biological pathway, biological process, molecular function, cellular component, site of expression and transcription factor in all the groups. Further, the pairwise comparison of tRNAs and piRNA in all these groups revealed significant changes in their expressions.
conclusionsPlasma exosomes of cigarette smokers, waterpipe smokers, e-cig users and dual smokers have common differential expression of microRNAs which may serve to distinguish smoking and vaping subjects from NS. Among them has-let-7a-5p has high sensitivity and specificity to distinguish NS with the rest of the users, using ROC curve analysis. These findings will pave the way for the utilizing the potential of exosomes/miRNAs as a novel theranostic agents in lung injury and disease caused by tobacco smoking and vaping.
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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.