Evidence map›Paper›PMID 42272986›Full record

ArticleBioengineering & translational medicine2026

Evaluation of a functionalized chitosan and alginate multilayer conformal nanocoating toward improving islet survival in syngeneic mouse islet transplantation.

Michael Yilma Yitayew, Alexandre Bay, Ling Li, Ciriaco A Piccirillo, Maryam Tabrizian

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michael Yilma YitayewDepartment of Biomedical Engineering McGill University Montreal Quebec Canada.
Alexandre BayDepartment of Microbiology and Immunology McGill University Québec Montreal Canada.
Ling LiDepartment of Anatomy and Cell Biology McGill University Montreal Quebec Canada.
Ciriaco A PiccirilloDepartment of Microbiology and Immunology McGill University Québec Montreal Canada.
Maryam TabrizianDepartment of Biomedical Engineering McGill University Montreal Quebec Canada.ORCID https://orcid.org/0000-0002-5050-4480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Encapsulation of pancreatic islet transplants with nano-thin conformal coatings has been reported to maintain islet cell function and minimize immune rejection in type 1 diabetes (T1D) treatment. Our work investigated a novel combination of non-immunogenic polyelectrolytes, tetrahydropyran triazole phenyl-alginate (TZ-AL) and quaternized phosphocholine-chitosan (PC-QCH), for layer-by-layer self-assembly onto the surface of mouse islets. Building on previous work validating coating characteristics and biocompatibility using cell-derived spheroids, we assessed the immunoprotective properties of the polyelectrolyte coating. This was done through in vitro co-culture of the polyelectrolytes with mouse-derived splenocytes enriched for antigen-presenting cells (APCs) and syngeneic transplantation of coated mouse islets into STZ-induced diabetic mice. Results indicated that the polyelectrolytes may downregulate APC activation and maturation in vitro. In addition, coated islets successfully restored normoglycemia in syngeneic transplants, as demonstrated by blood glucose measurements, intraperitoneal glucose tolerance tests, and graft immunostaining. These results suggest that the polyelectrolyte coating may modulate APC activation and that coated islets exhibit therapeutic efficacy for glycemic control in T1D.

Indexed as

conformal coatingislet transplantationlayer‐by‐layernano encapsulationT1D

Identifiers

PMID42272986
PMCPMC13247435

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Registered trials

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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.