Evidence map›Paper›PMID 42239111›Full record

ArticlebioRxiv : the preprint server for biology2026

Immune Biomarkers of Islet Transplant Rejection Revealed by Synthetic Immunological Niche.

Jyotirmoy Roy, Abdalmonam Jadou Nejma, Mohammad Tarique, Amod Talekar, Shengli Wu, Brianna Ha, Yifei Jiang, Esma S Yolcu, Lonnie D Shea

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jyotirmoy RoyDepartment of Biomedical Engineering, University of Michigan; Ann Arbor, USA.
Abdalmonam Jadou NejmaDepartment of Pediatrics, Department of Molecular Microbiology and Immunology, NextGen Precision Health Institute, Ellis Fischel Cancer Center, University of Missouri; Columbia, USA.
Mohammad TariqueDepartment of Pediatrics, Department of Molecular Microbiology and Immunology, NextGen Precision Health Institute, Ellis Fischel Cancer Center, University of Missouri; Columbia, USA.
Amod TalekarDepartment of Biomedical Engineering, University of Michigan; Ann Arbor, USA.
Shengli WuDepartment of Pediatrics, Department of Molecular Microbiology and Immunology, NextGen Precision Health Institute, Ellis Fischel Cancer Center, University of Missouri; Columbia, USA.
Brianna HaDepartment of Chemical Engineering, University of Michigan; Ann Arbor, USA.
Yifei JiangDepartment of Biomedical Engineering, University of Michigan; Ann Arbor, USA.
Esma S YolcuDepartment of Pediatrics, Department of Molecular Microbiology and Immunology, NextGen Precision Health Institute, Ellis Fischel Cancer Center, University of Missouri; Columbia, USA.
Lonnie D SheaDepartment of Biomedical Engineering, University of Michigan; Ann Arbor, USA.

Funding

Injectable scaffolds for early detection of immune dysregulation and monitoring response to immunotherapiesU01EB036955 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JACQUELINE SARA JERUSS, Lonnie D Shea · 2025 to 2026
$1.1M
NIBIB NIH HHS U01 EB036955
6 · The paper itself

Abstract

Islet transplantation can restore glycemic control in type 1 diabetes, yet the heterogeneity of patient immune responses and transplant outcomes motivates the need for technologies to monitor the graft. Since transplanted islets are not readily accessible for biopsy due to their diffuse engraftment within the liver, clinical monitoring relies on measurements such as islet mass, blood glucose, and C-peptide levels, which are lagging indicators that change only after substantial graft injury. Here, we developed a minimally invasive synthetic immunological niche (IN) that captures graft-associated immune responses through serial subcutaneous biopsy. We evaluated the IN across murine syngeneic, allogeneic, and autoimmune islet transplant models, including CD40/CD154 costimulatory blockade with anti-CD40L. In syngeneic versus allogeneic recipients, IN identified immune populations and transcriptomic signatures that mirrored the graft and distinguished healthy from rejecting grafts. In anti-CD40L treated allografts, IN revealed innate macrophage- and dendritic cell-associated programs linked to graft acceptance versus rejection, whereas IN from untreated allografts showed stronger adaptive immune signatures. Longitudinal IN profiling further detected progressive inflammatory activation in accepted allografts, indicating persistent subclinical risk. Finally, in an autoimmune allograft model treated with anti-CD40L plus rapamycin, IN identified a 13-gene signature that separated early from late rejection trajectories and distinguished autoimmune- from alloimmune-associated rejection programs. Overall, these findings establish IN as a surrogate tissue for minimally invasive monitoring of islet graft and early detection of rejection-associated immune dysregulation.

Identifiers

PMID42239111
PMCPMC13228287

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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.