Evidence map›Paper›PMID 36507998›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Vascularized Islet Transplantation as Composite Islet-Kidney Grafts with Nanoparticle-Labeled Islets in Large Animal Preclinical Transplant Models.

Kazuhiko Yamada, Daniel L Eisenson, Xiaojuan Chen, Lei Ji, Michelle R Santillan, Anna Moore

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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, top 43% of its field
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, 0 citations in OpenAlex.

  1. Review
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

6 authors at 5 institutions in 1 country.

Kazuhiko YamadaDepartment of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. kyamada6@jhmi.edu.
Daniel L EisensonDepartment of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Xiaojuan ChenDepartment of Surgery, Columbia University Irving Medical Center, New York, NY, USA.
Lei JiCenter for Transplantation Science, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Michelle R SantillanDepartment of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Anna MoorePrecision Health Program, Michigan State University, East Lansing, MI, USA.
Johns Hopkins University · USColumbia University Irving Medical Center · USJohns Hopkins Medicine · USMassachusetts General Hospital · USMichigan State University · US

Funding

XENOGRAFT TOLERANCE THROUGH MIXED CHIMERISMP01AI045897 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Megan Sykes · 2000 to 2026
$71.9M
Using Polyclonal Tregs to Develop a Compressed BMT Regiment for Deceased Donor Islets and KidneysU19AI131474 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SYKES, MEGAN · 2017 to 2022
$12.1M
Tolerance to Composite Islet-Kidney Transplants in Non-Human PrimatesU19AI102405 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI COSIMI, A BENEDICT · 2012 to 2016
$7.7M
siRNA Protection of Composite Islet Kidney Transplant in BaboonsR01DK105468 · NIDDK · MICHIGAN STATE UNIVERSITY · PI MOORE, ANNA, YAMADA, KAZUHIKO · 2015 to 2019
$2.8M
siRNA Protection of Islet Grafts in BaboonsR01DK105503 · NIDDK · MICHIGAN STATE UNIVERSITY · PI MOORE, ANNA, YAMADA, KAZUHIKO · 2015 to 2019
$2.5M
Training in Translational Immunology ResearchT32AI148099 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SYKES, MEGAN · 2020 to 2024
$1.4M
NIAID NIH HHS P01 AI045897NIAID NIH HHS T32 AI148099NIAID NIH HHS U19 AI102405NIAID NIH HHS U19 AI131474NIDDK NIH HHS R01 DK105468NIDDK NIH HHS R01 DK105503
6 · The paper itself

Abstract

Although there are many patients with diabetes and end-stage renal failure (DM/ESRD) who would benefit from a transplantation strategy that addresses both their ESRD and its underlying cause, current methods of islet and kidney transplantation using live donors have had only limited success. The first major obstacle is that the number of islets obtained from a live donor partial pancreatectomy is generally insufficient to cure diabetes in recipients, as large numbers of intraportally administered islets are lost due to ischemia before they are engrafted and vascularized in the recipient liver. To overcome this hurdle, we have developed a strategy to transplant islets as a vascularized graft. Autologous prevascularization of donor islets under the donor's own renal capsule prior to transplantation preserves islets and thus achieves normal glycemic control in diabetic recipients in our preclinical transplant models with a limited donor pancreas resection. In addition, from an immunological perspective, the innate tolerogenic qualities of the kidney provide immunoprotection for the engrafted, vascularized islets when they are transplanted as part of the composite islet-kidney (I-K) grafts. This "Trojan Horse" approach of transplanting a composite I-K eliminates the lengthy time which is otherwise required for vascularization of intraportally administered free islets, minimizing loss of islets to ischemic damage and facilitating the induction of tolerance. We have also recently developed a strategy to further minimize the required size of resected donor pancreas to prepare composite I-K graft using a novel, synthesized, small interfering RNA (siRNA)-nanoparticle probe. In this chapter, we introduce our living donor transplantation strategy to cure diabetic nephropathy using composite I-K graft.

Indexed as

Islets of LangerhansIslets of Langerhans TransplantationKidney TransplantationAnimalsHumansKidneyPancreatectomyTissue DonorsComposite islet-kidney transplantationIsletsKidneyLarge animal transplantationNanoparticles

Identifiers

PMID36507998
PMCPMC11462519
OpenAlexW4311242919

What OpenQuestion holds

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Registered trials

None linked

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.