ArticleBioMed research international2026
Understanding the Mechanisms of Human Liver Regeneration via Characterization of Circulating Extracellular Vesicles.
Article in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Understanding the Mechanisms of Human Liver Regeneration via Characterization of Circulating Extracellular Vesicles.BioMed research international · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: Our study is aimed at identifying circulating extracellular vesicles associated with liver regeneration in humans and mice, exploring their roles, and evaluating their content as potential biomarkers of regeneration. Methods: Plasma samples were collected from 12 human liver transplant recipients and 22 mice at distinct time points postsurgery, corresponding to regenerating and nonregenerating phases. Small extracellular vesicles were isolated from plasma, and miRNA was extracted for analysis using NanoString technology. To understand the role of miRNAs in liver regeneration, we utilized bioinformatics tools, including mirDIP and STRING, to identify target genes involved in regenerative signaling pathways, focusing on the Hippo and cell cycle pathways. Results: Twenty-five differentially expressed miRNAs were identified from human patient plasma samples and 30 from mouse plasma samples. Bioinformatic analysis revealed a significant overlap between the predicted target genes of these miRNAs and genes involved in critical regenerative pathways, such as the cell cycle and Hippo signaling, suggesting that these miRNAs play important regulatory roles during liver regeneration. Conclusions: The miRNA profiles associated with small extracellular vesicles have the potential to serve as noninvasive biomarkers for liver regeneration. Further validation of these miRNA-based biomarkers could advance diagnostic and therapeutic approaches for liver injury and posttransplant recovery.
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.