ArticleScience advances2023
Identification of a humanized mouse model for functional testing of immune-mediated biomaterial foreign body response.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 21 citations in OpenAlex.
- Allogeneic islet products for type 1 diabetes: Navigating nonclinical and manufacturing regulatory expectations.Stem cell reports · 2026Review
- Immune-competent new approach methodologies for a hybrid future.Nature immunology · 2026Article
- Multiscale Hybrid Surface Topographies Orchestrate Immune Regulation, Antibacterial Defense, and Tissue Regeneration.Advanced healthcare materials · 2026Article
- Don't judge an implant by its cover: how the foreign body response and fibrotic capsule might be harnessed for good.npj biomedical innovations · 2026Review
- Oversimplified immunology is holding biomaterials back.Nature reviews bioengineering · 2025Article
- Harnessing cellular therapeutics for type 1 diabetes mellitus: progress, challenges, and the road ahead.Nature reviews. Endocrinology · 2025Review
- Probing Nanotopography-Mediated Macrophage Polarization via Integrated Machine Learning and Combinatorial Biophysical Cue Mapping.ACS nano · 2024Article
- Immunocompatible elastomer with increased resistance to the foreign body response.Nature communications · 2024Article
- Therapeutic Insulin Analogue Concentrations at Infusion Sites Enhanced the Pro-Inflammatory Response and Apoptosis in an In Vitro Macrophage-Material Interaction Model.ACS pharmacology & translational science · 2024Article
- Immunoengineering Biomaterials for Musculoskeletal Tissue Repair across Lifespan.Advanced materials (Deerfield Beach, Fla.) · 2024Review
- Adhesive anti-fibrotic interfaces on diverse organs.Nature · 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
19 authors at 6 institutions in 1 country.
Funding
Abstract
Biomedical devices comprise a major component of modern medicine, however immune-mediated fibrosis and rejection can limit their function over time. Here, we describe a humanized mouse model that recapitulates fibrosis following biomaterial implantation. Cellular and cytokine responses to multiple biomaterials were evaluated across different implant sites. Human innate immune macrophages were verified as essential to biomaterial rejection in this model and were capable of cross-talk with mouse fibroblasts for collagen matrix deposition. Cytokine and cytokine receptor array analysis confirmed core signaling in the fibrotic cascade. Foreign body giant cell formation, often unobserved in mice, was also prominent. Last, high-resolution microscopy coupled with multiplexed antibody capture digital profiling analysis supplied spatial resolution of rejection responses. This model enables the study of human immune cell-mediated fibrosis and interactions with implanted biomaterials and devices.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.