A nanobody-based nuclear imaging tracer targeting dipeptidyl peptidase 6 to determine the mass of human beta cell grafts in mice.


Journal

Diabetologia
ISSN: 1432-0428
Titre abrégé: Diabetologia
Pays: Germany
ID NLM: 0006777

Informations de publication

Date de publication:
04 2020
Historique:
received: 24 07 2019
accepted: 30 10 2019
pubmed: 25 12 2019
medline: 2 4 2021
entrez: 25 12 2019
Statut: ppublish

Résumé

Type 1 diabetes is characterised by a progressive decline in beta cell mass. This is also observed following implantation of pancreatic islet allografts, but there is no reliable information regarding the time course of beta cell loss. This is due to the limited availability of non-invasive pancreatic islet imaging techniques. We have previously described that dipeptidyl peptidase 6 (DPP6) is an alpha and beta cell-specific biomarker, and developed a camelid antibody (nanobody '4hD29') against it. We demonstrated the possibility to detect DPP6-expressing cells by single-photon emission computed tomography (SPECT)/ computed tomography (CT), but the correlation between the number of cells grafted and the SPECT signal was not assessed. Here, we investigate whether the 4hD29 nanobody allows us to detect different amounts of human pancreatic islets implanted into immune-deficient mice. In addition, we also describe the adaptation of the probe for use with positron emission tomography (PET). DPP6 expression was assessed in human samples using tissue arrays and immunohistochemistry. The effect of the 4hD29 nanobody on cell death and glucose-stimulated insulin secretion was measured in EndoC-βH1 cells and in human islets using Hoechst/propidium iodide staining and an anti-insulin ELISA, respectively. We performed in vivo SPECT imaging on severe combined immunodeficient (SCID) mice transplanted with different amounts of EndoC-βH1 cells (2 × 10 The DPP6 protein is mainly expressed in pancreatic islets. Importantly, the anti-DPP6 nanobody 4hD29 allows non-invasive detection of high amounts of EndoC-βH1 cells or human islets grafted in immunodeficient mice. This suggests that the probe must be further improved to detect lower numbers of islet cells. The 4hD29 nanobody neither affected beta cell viability nor altered insulin secretion in EndoC-βH1 cells and human islets. The conversion of 4hD29 nanobody into a PET probe was successful and did not alter its specificity. These findings suggest that the anti-DPP6 4hD29 nanobody may become a useful tool for the quantification of human islet grafts in mice and, pending future development, islet mass in individuals with diabetes.

Identifiants

pubmed: 31873789
doi: 10.1007/s00125-019-05068-5
pii: 10.1007/s00125-019-05068-5
doi:

Substances chimiques

Gallium Radioisotopes 0
Organotechnetium Compounds 0
Radioactive Tracers 0
Single-Domain Antibodies 0
Gallium-67 4LJK511Z86
DPP6 protein, mouse EC 3.4.14.-
Dipeptidyl-Peptidases and Tripeptidyl-Peptidases EC 3.4.14.-

Types de publication

Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

825-836

Subventions

Organisme : European Genomic Institute for Diabetes
ID : ANR-10-LABEX-46
Pays : International
Organisme : Juvenile Diabetes Research Foundation International
ID : 3-2-SRA-2017-432-S-B
Pays : International
Organisme : INNODIA
ID : 115797
Pays : International

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Auteurs

Stéphane Demine (S)

ULB Center for Diabetes Research and Welbio, Medical Faculty, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium. stephane.demine@ulb.ac.be.

Rita Garcia Ribeiro (R)

In Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Julien Thevenet (J)

European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France.

Lorella Marselli (L)

Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.

Piero Marchetti (P)

Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.

François Pattou (F)

European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France.

Julie Kerr-Conte (J)

European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France.

Nick Devoogdt (N)

In Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Decio L Eizirik (DL)

ULB Center for Diabetes Research and Welbio, Medical Faculty, Université Libre de Bruxelles (ULB), Route de Lennik 808-CP618, 1070, Brussels, Belgium.

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Classifications MeSH