Evidence map›Paper›PMID 33144616›Full record

ArticleScientific reports2020

Antigen-specific immunotherapy combined with a regenerative drug in the treatment of experimental type 1 diabetes.

Adrian Villalba, Silvia Rodriguez-Fernandez, David Perna-Barrull, Rosa-Maria Ampudia, Laia Gomez-Muñoz, Irma Pujol-Autonell, Eva Aguilera, Ruth M Risueño, Mary Cano-Sarabia, Daniel Maspoch and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Nanomaterials for antigen-specific immune tolerance therapy.Drug delivery and translational research · 2023
    Review
  4. Article
  5. Review
  6. 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

12 authors at 4 institutions in 1 country.

Adrian VillalbaImmunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Carretera Canyet s/n, 08916, Badalona, Spain.
Silvia Rodriguez-FernandezImmunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Carretera Canyet s/n, 08916, Badalona, Spain.
David Perna-BarrullImmunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Carretera Canyet s/n, 08916, Badalona, Spain.
Rosa-Maria AmpudiaImmunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Carretera Canyet s/n, 08916, Badalona, Spain.
Laia Gomez-MuñozImmunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Carretera Canyet s/n, 08916, Badalona, Spain.
Irma Pujol-AutonellImmunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Carretera Canyet s/n, 08916, Badalona, Spain.
Eva AguileraEndocrinology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Badalona, Spain.
Ruth M RisueñoJosep Carreras Leukaemia Research Institute, Campus GTP-ICO, Badalona, Spain.
Mary Cano-SarabiaCatalan Institute of Nanoscience and Nanotechnology, CSIC, The Barcelona Institute of Science and Technology, Bellaterra, Spain.
Daniel MaspochCatalan Institute of Nanoscience and Nanotechnology, CSIC, The Barcelona Institute of Science and Technology, Bellaterra, Spain.
Federico VázquezEndocrinology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Badalona, Spain.
Marta Vives-PiImmunology Section, Germans Trias i Pujol Research Institute, Autonomous University of Barcelona, Carretera Canyet s/n, 08916, Badalona, Spain. mvives@igtp.cat.
Universitat Autònoma de Barcelona · ESInstitut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESInstitut Català de Nanociència i Nanotecnologia · ESJosep Carreras Leukaemia Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes is an autoimmune disease caused by the destruction of the insulin-producing β-cells. To revert type 1 diabetes, the suppression of the autoimmune attack should be combined with a β-cell replacement strategy. It has been previously demonstrated that liraglutide, a glucagon-like peptide-1 receptor agonist, restores β-cell mass in type 1 diabetes, via α-cell transdifferentiation and neogenesis. We report here that treatment with liraglutide does not prevent type 1 diabetes in the spontaneous non-obese diabetic (NOD) mouse model, but it tends to reduce leukocytic islet infiltration. However, in combination with an immunotherapy based on tolerogenic liposomes, it is effective in ameliorating hyperglycaemia in diabetic NOD mice. Importantly, liraglutide is not detrimental for the tolerogenic effect that liposomes exert on dendritic cells from patients with type 1 diabetes in terms of membrane expression of molecules involved in antigen presentation, immunoregulation and activation. Moreover, the in vivo effect of the combined therapy was tested in mice humanised with peripheral blood mononuclear cells from patients with type 1 diabetes, showing no adverse effects in leukocyte subsets. In conclusion, the combination therapy with liraglutide and a liposome-based immunotherapy is a promising candidate strategy for type 1 diabetes.

Indexed as

AdultAnimalsCombined Modality TherapyDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 1FemaleHumansImmunotherapyInsulinInsulin-Secreting CellsLiposomesLiraglutideMaleMiceMice, Inbred NODTreatment OutcomeInsulinLiposomesLiraglutide

Identifiers

PMID33144616
PMCPMC7609712
OpenAlexW3097842631

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.