ArticleExploration (Beijing, China)2026
Autologous Extracellular Matrix-Based Cell-Free Therapy for Tissue Regeneration Through Trem2
Article in Exploration (Beijing, China), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The extracellular matrix (ECM) is vital for tissue regeneration and remodeling by providing structural support and regulating cell behavior. Bioactive membranes derived from decellularized ECM show promising regenerative potential in many fields. However, they still face challenges such as immune rejection, structural disparities, and high costs associated with human-derived materials. These issues hinder their widespread clinical application and limit their adaptability to personalized treatments. Further research is needed to improve the safety, efficacy, and accessibility of ECM-based materials. This study develops an autologous ECM-based membrane, termed adipose-derived matrix film (ADF), using a simple physical method inspired by traditional "
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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.