ArticleJournal of clinical laboratory analysis2020
Lnc-MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR-21.
Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Long non-coding RNAs in glial cells: key drivers of neuroinflammation in cognitive disorders.Frontiers in aging neuroscience · 2026Pooled it
- The Diagnostic Utility of Host RNA Biosignatures in Adult Patients With Sepsis: A Systematic Review and Meta-Analysis.Critical care explorations · 2025Pooled it
- Sepsis Biomarkers: Advancements and Clinical Applications-A Narrative Review.International journal of molecular sciences · 2024Review
- Navigating the Modern Landscape of Sepsis: Advances in Diagnosis and Treatment.International journal of molecular sciences · 2024Review
- Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity.Experimental and therapeutic medicine · 2024Article
- Hippocampal adenosine-to-inosine RNA editing in sepsis: dynamic changes and influencing factors.Brain communications · 2024Article
- Long non-coding RNA small nucleolar RNA host gene 8 (SNHG8) sponges miR-34b-5p to prevent sepsis-induced cardiac dysfunction and inflammation and serves as a diagnostic biomarker.Archives of medical science : AMS · 2024Article
- lncRNA DHFRL1‑4 knockdown attenuates cerebral ischemia/reperfusion injury by upregulating the levels of angiogenesis‑related genes.International journal of molecular medicine · 2022Article
- Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review.Critical care (London, England) · 2022Review
- miR-21 Regulates Immune Balance Mediated by Th17/Treg in Peripheral Blood of Septic Rats during the Early Phase through Apoptosis Pathway.Biochemistry research international · 2022Article
- Long Noncoding RNA: Regulatory Mechanisms and Therapeutic Potential in Sepsis.Frontiers in cellular and infection microbiology · 2021Review
- The Role of Long Non-coding RNAs in Sepsis-Induced Cardiac Dysfunction.Frontiers in cardiovascular medicine · 2021Review
- Long Non-Coding RNAs as Biomarkers and Therapeutic Targets in Sepsis.Frontiers in immunology · 2021Review
- Long Non-coding RNAFrontiers in physiology · 2021Article
- Regulatory Role of Non-Coding RNAs on Immune Responses During Sepsis.Frontiers in immunology · 2021Review
- miR-486-5p Serves as a Diagnostic Biomarker for Sepsis and Its Predictive Value for Clinical Outcomes.Journal of inflammation research · 2021Article
- The value of circulating long non-coding RNA maternally expressed gene 3 as a predictor of higher acute respiratory distress syndrome risk and 28-day mortality in sepsis patients.Journal of clinical laboratory analysis · 2020Article
- Long non-coding RNA CRNDE and toll-like receptor 3 correlate with disease severity, inflammation, and mortality in sepsis.Journal of clinical laboratory analysis · 2020Article
- Lnc-MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR-21.Journal of clinical laboratory analysis · 2020Article
- An Update on Sepsis Biomarkers.Infection & chemotherapy · 2020Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThis study aimed to investigate the correlations of long non-coding RNA maternally expressed gene 3 (lnc-MEG3), microRNA (miR)-21, and lnc-MEG3/miR-21 axis with disease risk, inflammation, disease severity, and 28-day mortality of sepsis.
methodsTotally, 219 sepsis patients and 219 health controls (HCs) were enrolled. Plasma samples were obtained from sepsis patients within 24 hours after admission and from HCs on enrollment to detect lnc-MEG3 and miR-21 expressions by real-time quantitative polymerase chain reaction.
resultsThe lnc-MEG3 expression and lnc-MEG3/miR-21 axis were increased, while miR-21 expression was decreased in sepsis patients compared with HCs. Lnc-MEG3 (area under the curve (AUC): 0.887, 95% confidence interval (CI): 0.856-0.917) and lnc-MEG3/miR-21 axis (AUC: 0.934, 95% CI: 0.909-0.958) had good values for predicting elevated sepsis risk, while miR-21 (AUC: 0.801, 95% CI: 0.758-0.844) presented a good predictive value for reduced sepsis risk. Furthermore, lnc-MEG3 expression and lnc-MEG3/miR-21 axis positively correlated with, whereas miR-21 expression negatively correlated with acute pathologic and chronic health evaluation II, sequential organ failure assessment score, serum creatinine, C-reactive protein, tumor necrosis factor-α, interleukin (IL)-1β, IL-6, and IL-17 in sepsis patients. Additionally, lnc-MEG3 (AUC: 0.704, 95% CI: 0.626-0.783) and lnc-MEG3/miR-21 axis (AUC: 0.669, 95% CI: 0.589-0.750) exhibited acceptable values in predicting higher 28-day mortality risk, while miR-21 (AUC: 0.588, 95% CI: 0.505-0.672) presented a poor predictive value for lower 28-day mortality risk in sepsis patients.
conclusionLnc-MEG3 might serve as a potential biomarker for the development, progression, and prognosis prediction of sepsis via interacting with miR-21.
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Registered trials
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.