A biomechanical test model for evaluating osseous and osteochondral tissue adhesives.

Biomechanical model Bone adhesive Calcium phosphate cements Fracture repair Orthobiologics Phosphoserine Tissue adhesive

Journal

BMC biomedical engineering
ISSN: 2524-4426
Titre abrégé: BMC Biomed Eng
Pays: England
ID NLM: 101756092

Informations de publication

Date de publication:
2019
Historique:
received: 04 01 2019
accepted: 31 03 2019
entrez: 9 9 2020
pubmed: 7 5 2019
medline: 7 5 2019
Statut: epublish

Résumé

Currently there are no standard models with which to evaluate the biomechanical performance of calcified tissue adhesives, in vivo Cylindrical cores (diameter (Ø) 2 mm (mm) × 2 mm depth), containing both cancellous and cortical bone, were fractured out from the distal femur and then reattached using one of two tissue adhesives. The adhesiveness of fibrin glue (Tisseel Despite the challenges associated with biomechanical testing in small rodent models the preclinical ex-vivo test model presented herein is both sensitive and accurate. It enabled differences in tissue adhesive strength to be quantified even for very small osseous fragments (<Ø4mm). Importantly, this model can easily be scaled to larger animals and adapted to fracture fragment fixation in human bone. The present model is also compatible with other long-term in vivo evaluation methods (i.e. in vivo imaging, histological analysis, etc.).

Sections du résumé

BACKGROUND BACKGROUND
Currently there are no standard models with which to evaluate the biomechanical performance of calcified tissue adhesives, in vivo
RESULTS RESULTS
Cylindrical cores (diameter (Ø) 2 mm (mm) × 2 mm depth), containing both cancellous and cortical bone, were fractured out from the distal femur and then reattached using one of two tissue adhesives. The adhesiveness of fibrin glue (Tisseel
CONCLUSIONS CONCLUSIONS
Despite the challenges associated with biomechanical testing in small rodent models the preclinical ex-vivo test model presented herein is both sensitive and accurate. It enabled differences in tissue adhesive strength to be quantified even for very small osseous fragments (<Ø4mm). Importantly, this model can easily be scaled to larger animals and adapted to fracture fragment fixation in human bone. The present model is also compatible with other long-term in vivo evaluation methods (i.e. in vivo imaging, histological analysis, etc.).

Identifiants

pubmed: 32903290
doi: 10.1186/s42490-019-0011-2
pii: 11
pmc: PMC7422571
doi:

Types de publication

Journal Article

Langues

eng

Pagination

11

Subventions

Organisme : AHRQ HHS
ID : T32 HS000046
Pays : United States

Informations de copyright

© The Author(s) 2019.

Déclaration de conflit d'intérêts

Competing interestsThe following authors declare partial ownership in a company that owns all related intellectual property (GPBio LTD): Michael Pujari-Palmer (M.P.), Gerard Insley (G.I.), Philip Procter (P.P.), Håkan Engqvist (H.E.).

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Auteurs

Philip Procter (P)

Division of Applied Materials Science, Department of Engineering Sciences, Uppsala University, Box 523, 75120 Uppsala, Sweden.
GPBio Ltd, Rathkeale, Ireland.

Michael Pujari-Palmer (M)

Division of Applied Materials Science, Department of Engineering Sciences, Uppsala University, Box 523, 75120 Uppsala, Sweden.

Gry Hulsart-Billström (G)

Division of Applied Materials Science, Department of Engineering Sciences, Uppsala University, Box 523, 75120 Uppsala, Sweden.
Department Surgical Sciences, Orthopaedics, Uppsala University Hospital, 75185 Uppsala, Sweden.

David Wenner (D)

Division of Applied Materials Science, Department of Engineering Sciences, Uppsala University, Box 523, 75120 Uppsala, Sweden.

Gerard Insley (G)

Division of Applied Materials Science, Department of Engineering Sciences, Uppsala University, Box 523, 75120 Uppsala, Sweden.
GPBio Ltd, Rathkeale, Ireland.

Sune Larsson (S)

Department Surgical Sciences, Orthopaedics, Uppsala University Hospital, 75185 Uppsala, Sweden.

Håkan Engqvist (H)

Division of Applied Materials Science, Department of Engineering Sciences, Uppsala University, Box 523, 75120 Uppsala, Sweden.

Classifications MeSH