Evidence map›Paper›PMID 29123178›Full record

ArticleScientific reports2017

A nanobody-based tracer targeting DPP6 for non-invasive imaging of human pancreatic endocrine cells.

Alexander Balhuizen, Sam Massa, Iris Mathijs, Jean-Valery Turatsinze, Jens De Vos, Stéphane Demine, Catarina Xavier, Olatz Villate, Isabelle Millard, Dominique Egrise and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Single-Domain Antibody Theranostics on the Horizon.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  6. Article
  7. Imaging evaluation of the pancreas in diabetic patients.Abdominal radiology (New York) · 2022
    Review
  8. Review
  9. Potential of [Scientific reports · 2021
    Article
  10. Review
  11. Review
  12. Review
  13. Nanobodies: new avenue to treat kidney disease.Cell and tissue research · 2021
    Review
  14. Review
  15. Review
  16. Nanobodies asRSC chemical biology · 2021
    Review
  17. Review
  18. Review
  19. Review
  20. 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

20 authors at 4 institutions in 3 countries.

Alexander BalhuizenULB-Center for Diabetes Research and Welbio, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium. alexander.balhuizen@ulb.ac.be.ORCID 0000-0001-7581-121X
Sam MassaLaboratory of Cellular and Molecular Immunology (CMIM), Vrije Universiteit Brussel (VUB), Brussels, Belgium.ORCID 0000-0003-2896-3549
Iris MathijsCell Differentiation Laboratory, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Jean-Valery TuratsinzeULB-Center for Diabetes Research and Welbio, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium.
Jens De VosLaboratory of Cellular and Molecular Immunology (CMIM), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Stéphane DemineULB-Center for Diabetes Research and Welbio, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium.ORCID 0000-0002-7254-2269
Catarina XavierIn vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Olatz VillateULB-Center for Diabetes Research and Welbio, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium.
Isabelle MillardULB-Center for Diabetes Research and Welbio, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium.
Dominique EgriseCentre for Microscopy and Molecular Imaging (CMMI), Université Libre de Bruxelles (ULB), Gosselies, Belgium.
Carmen CapitoINSERM U1016, Université Paris-Descartes, Institut Cochin, Paris, France.
Raphaël ScharfmannINSERM U1016, Université Paris-Descartes, Institut Cochin, Paris, France.
Pieter In't VeldDepartment of Pathology, UZ-Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Piero MarchettiDepartment of Endocrinology and Metabolism, University of Pisa, Pisa, Italy.
Serge MuyldermansIn vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Serge GoldmanCentre for Microscopy and Molecular Imaging (CMMI), Université Libre de Bruxelles (ULB), Gosselies, Belgium.
Tony LahoutteIn vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Luc BouwensCell Differentiation Laboratory, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Decio L EizirikULB-Center for Diabetes Research and Welbio, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium. deizirik@ulb.ac.be.ORCID 0000-0003-2453-5889
Nick DevoogdtIn vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Vrije Universiteit Brussel · BEUniversité Libre de Bruxelles · BEInserm · FRUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are presently no reliable ways to quantify endocrine cell mass (ECM) in vivo, which prevents an accurate understanding of the progressive beta cell loss in diabetes or following islet transplantation. To address this unmet need, we coupled RNA sequencing of human pancreatic islets to a systems biology approach to identify new biomarkers of the endocrine pancreas. Dipeptidyl-Peptidase 6 (DPP6) was identified as a target whose mRNA expression is at least 25-fold higher in human pancreatic islets as compared to surrounding tissues and is not changed by proinflammatory cytokines. At the protein level, DPP6 localizes only in beta and alpha cells within the pancreas. We next generated a high-affinity camelid single-domain antibody (nanobody) targeting human DPP6. The nanobody was radiolabelled and in vivo SPECT/CT imaging and biodistribution studies were performed in immunodeficient mice that were either transplanted with DPP6-expressing Kelly neuroblastoma cells or insulin-producing human EndoC-βH1 cells. The human DPP6-expressing cells were clearly visualized in both models. In conclusion, we have identified a novel beta and alpha cell biomarker and developed a tracer for in vivo imaging of human insulin secreting cells. This provides a useful tool to non-invasively follow up intramuscularly implanted insulin secreting cells.

Indexed as

Protein TransportAnimalsDipeptidyl-Peptidases and Tripeptidyl-PeptidasesHumansInsulin-Secreting CellsMiceNerve Tissue ProteinsPotassium ChannelsSequence Analysis, RNASingle-Domain AntibodiesSingle Photon Emission Computed Tomography Computed TomographyStaining and LabelingDipeptidyl-Peptidases and Tripeptidyl-PeptidasesDPP6 protein, humanNerve Tissue ProteinsPotassium ChannelsSingle-Domain Antibodies

Identifiers

PMID29123178
PMCPMC5680294
OpenAlexW2767021423

What OpenQuestion holds

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LicenceCC BY
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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.