ArticleJournal of translational medicine2024
LIPCAR levels in plasma-derived extracellular vesicles is associated with left ventricle remodeling post-myocardial infarction.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 18 citations in OpenAlex.
- Early detection value of miR-29a in patients with acute myocardial infarction.Frontiers in cardiovascular medicine · 2026Trial
- Echoes in the powerhouse: mito-lncRNAs contribution to cardiac function and disease.Acta pharmacologica Sinica · 2026Review
- Extracellular Vesicles in Cardiovascular Disease: Intercellular Signaling, Liquid Biopsy Biomarkers, and Therapeutic Translation.Circulation research · 2026Review
- Extracellular Vesicles as Mediators of Pathophysiology and Disease Progression in Cardiovascular Diseases.International journal of molecular sciences · 2026Review
- DSCAML1+ extracellular vesicles revealed by single-vesicle proteomics as a novel biomarker and therapeutic target in myocardial infarction.Journal of nanobiotechnology · 2026Article
- Review
- Orchestrating HFpEF: How Noncoding RNAs Drive Pathophysiology and Phenotypic Outcomes.International journal of molecular sciences · 2025Review
- Review
- Overview of exosomal non-coding RNAs in cardiovascular disease using high throughput sequencing.European journal of pharmacology · 2025Review
- Association between plasma extracellular vesicles LncRNAs and metabolic syndrome in polycystic ovary syndrome.Journal of ovarian research · 2025Article
- Clinical significance of altered expression of mitochondrial genome-derived LncRNA LIPCAR in colorectal cancer.Biochemistry and biophysics reports · 2025Article
- LncRNA Foxo6os as a Novel " Scaffold" Mediates MYBPC3 in Combating Pathological Cardiac Hypertrophy and Heart Failure.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Exosomes: bridge metabolic regulation in cardiac repair.npj biomedical innovations · 2025Review
- Recent advances in the roles of extracellular vesicles in cardiovascular diseases: pathophysiological mechanisms, biomarkers, and cell-free therapeutic strategy.Molecular medicine (Cambridge, Mass.) · 2025Review
- Review
- Potential of plasma biomarkers for heart failure prediction, management, and prognosis: A multiomics perspective.Heart failure reviews · 2025Review
- The redox-active defensive Selenoprotein T as a novel stress sensor protein playing a key role in the pathophysiology of heart failure.Journal of translational medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundLong Intergenic noncoding RNA predicting CARdiac remodeling (LIPCAR) is a long noncoding RNA identified in plasma of patients after myocardial infarction (MI) to be associated with left ventricle remodeling (LVR). LIPCAR was also shown to be a predictor of early death in heart failure (HF) patients. However, no information regarding the expression of LIPCAR and its function in heart as well as the mechanisms involved in its transport to the circulation is known. The aims of this study are (1) to characterize the transporter of LIPCAR from heart to circulation; (2) to determine whether LIPCAR levels in plasma isolated-extracellular vesicles (EVs) reflect the alteration of its expression in total plasma and could be used as biomarkers of LVR post-MI.
methodsSince expression of LIPCAR is restricted to human species and the limitation of availability of cardiac biopsy samples, serum-free conditioned culture media from HeLa cells were first used to characterize the extracellular transporter of LIPCAR before validation in EVs isolated from human cardiac biopsies (non-failing and ischemic HF patients) and plasma samples (patients who develop or not LVR post-MI). Differential centrifugation at 20,000g and 100,000g were performed to isolate the large (lEVs) and small EVs (sEVs), respectively. Western blot and nanoparticle tracking (NTA) analysis were used to characterize the isolated EVs. qRT-PCR analysis was used to quantify LIPCAR in all samples.
resultsWe showed that LIPCAR is present in both lEVs and sEVs isolated from all samples. The levels of LIPCAR are higher in lEVs compared to sEVs isolated from HeLa conditioned culture media and cardiac biopsies. No difference of LIPCAR expression was observed in tissue or EVs isolated from cardiac biopsies obtained from ischemic HF patients compared to non-failing patients. Interestingly, LIPCAR levels were increased in lEVs and sEVs isolated from MI patients who develop LVR compared to patients who did not develop LVR.
conclusionOur data showed that large EVs are the main extracellular vesicle transporter of LIPCAR from heart into the circulation independently of the status, non-failing or HF, in patients. The levels of LIPCAR in EVs isolated from plasma could be used as biomarkers of LVR in post-MI patients.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.