Evidence map›Paper›PMID 33184575›Full record

ArticleCellular and molecular bioengineering2020

Tissue-Engineered Stromal Reticula to Study Lymph Node Fibroblastic Reticular Cells in Type I Diabetes.

Freddy Gonzalez Badillo, Flavia Zisi Tegou, Riccardo Masina, Shane Wright, Mackenzie Scully, Laura Harwell, Michael Lupp, Jorge Postigo-Fernandez, Remi J Creusot, Alice A Tomei

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  7. Review
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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

10 authors at 2 institutions in 1 country.

Freddy Gonzalez BadilloDepartment of Biomedical Engineering, University of Miami, 1251 Memorial Dr, Coral Gables, FL 33146 USA.
Flavia Zisi TegouDepartment of Biomedical Engineering, University of Miami, 1251 Memorial Dr, Coral Gables, FL 33146 USA.
Riccardo MasinaDiabetes Research Institute, University of Miami Miller School of Medicine, 1450 NW 10th Ave, Miami, FL 33136 USA.
Shane WrightDepartment of Biomedical Engineering, University of Miami, 1251 Memorial Dr, Coral Gables, FL 33146 USA.
Mackenzie ScullyDepartment of Biomedical Engineering, University of Miami, 1251 Memorial Dr, Coral Gables, FL 33146 USA.
Laura HarwellDepartment of Biomedical Engineering, University of Miami, 1251 Memorial Dr, Coral Gables, FL 33146 USA.
Michael LuppDiabetes Research Institute, University of Miami Miller School of Medicine, 1450 NW 10th Ave, Miami, FL 33136 USA.
Jorge Postigo-FernandezColumbia Center for Translational Immunology, Department of Medicine and Naomi Berrie Diabetes Center, Columbia University Irving Medical Center, New York, NY 10032 USA.
Remi J CreusotColumbia Center for Translational Immunology, Department of Medicine and Naomi Berrie Diabetes Center, Columbia University Irving Medical Center, New York, NY 10032 USA.
Alice A TomeiDepartment of Biomedical Engineering, University of Miami, 1251 Memorial Dr, Coral Gables, FL 33146 USA.ORCID 0000-0002-5059-6303
University of Miami · USColumbia University Irving Medical Center · US

Funding

Conformal islet encapsulation for transplantation at vascularized sites to allow physiological insulin secretionR01DK109929 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Alice Tomei · 2018 to 2026
$3.9M
Conformal islet encapsulation for transplantation at vascularized sites to allow physiological insulin secretionR56DK109929 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI TOMEI, ALICE · 2016 to 2016
$228k
NIDDK NIH HHS R01 DK109929NIDDK NIH HHS R56 DK109929
6 · The paper itself

Abstract

introductionFibroblastic reticular cells (FRCs) support and remodel the lymph node (LN), express and present self-antigens to T cells to promote tolerance. In Type 1 diabetes (T1D), decrease in FRC frequency and in their expression of T1D-related self-antigens may hinder tolerogenic engagement of autoreactive T cells. FRC reticular organization in LNs is critical for adaptive immunity. Thus, we engineered LN-like FRC reticula to determine if FRC reticular properties were altered in T1D and to study engagement of autoreactive T cells

methodsWe characterized FRC networks in pancreatic and skin-draining LNs of 4- and 12-week old non-obese diabetic (NOD) and diabetes resistant NOR mice by immunofluorescence. Murine FRCs isolated from NOR, NOD or human pancreatic LNs were cultured in collagen sponges for up to 21 days before immunofluorescence and flow cytometry analysis. NOD FRCs expressing T1D antigens were co-cultured with CellTrace-labeled specific T cells in 2D or in scaffolds. T cell engagement was quantified by CD25 upregulation, CellTrace dilution and by T cell tracking.

resultsFRC networks in both 4- and 12-week old NOD LNs displayed larger reticular pores than NOR controls. NOD FRCs had delayed scaffold remodeling compared to NOR FRCs. Expression of the gp38 FRC marker in NOD FRCs was lower than in NOR but improved in 3D. FRC reticula expressing T1D antigens promoted higher engagement of specific T cells than 2D.

conclusionWe engineered LN-like FRC reticula that recapitulate FRC organization and phenotype of T1D LNs for studying tolerogenic autoreactive T cell engagement in T1D.

Indexed as

AutoimmunityCollagen scaffoldsHuman cellsLymph node stromal cellsPeripheral toleranceReticular networksSecondary lymphoid organsThree-dimensional

Identifiers

PMID33184575
PMCPMC7596159
OpenAlexW3037752551

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.