Evidence map›Paper›PMID 39166760›Full record

ArticleClinical oral implants research2024

Higher solubility and lower onset temperature of protein denaturation increase the osteoconductive capacity of collagen membranes: A preclinical in vivo study.

Zahra Sadat-Marashi, Masako Fujioka-Kobayashi, Hiroki Katagiri, Niklaus P Lang, Nikola Saulacic

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Article in Clinical oral implants research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zahra Sadat-MarashiDepartment of Cranio-Maxillofacial Surgery, Faculty of Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Masako Fujioka-KobayashiDepartment of Cranio-Maxillofacial Surgery, Faculty of Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-1511-9085
Hiroki KatagiriAdvanced Research Center, School of Life Dentistry at Niigata, The Nippon Dental University, Niigata, Japan.ORCID 0000-0002-7464-3274
Niklaus P LangDepartment of Cranio-Maxillofacial Surgery, Faculty of Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-6938-9611
Nikola SaulacicDepartment of Cranio-Maxillofacial Surgery, Faculty of Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0003-3960-4920

Funding

Geistlich Pharma
6 · The paper itself

Abstract

objectivesCollagen membranes are extensively used for guided bone regeneration procedures, primarily for horizontal bone augmentation. More recently, it has been demonstrated that collagen membranes promote bone regeneration. Present study aimed at assessing if structural modifications of collagen membranes may enhance their osteoconductive capacity.

methodsTwenty-four adult Wistar rats were used. Bilateral calvaria defects with a diameter of 5 mm were prepared and covered with prototypes of collagen membranes (P1 or P2). The P1 membrane (positive control) presented a lower onset temperature of protein denaturation and a higher solubility than the P2 membrane (test). The contralateral defects were left uncovered (NC). After 1 and 4 weeks, the animals were euthanized. A microcomputed tomography analysis of the harvested samples was performed within and above the bony defect. Undecalcified ground sections were subjected to light microscopy and morphometric analysis.

resultsBone formation was observed starting from the circumferential borders of the defects in all groups at 1-week of healing. The foci of ossification were observed at the periosteal and dura mater sites, with signs of collagen membrane mineralization. However, there was no statistically significant difference between the groups. At 4 weeks, remnants of the collagen fibers were embedded in the newly formed bone. In the P2 group, significantly more bone volume, more new bone, and marrow spaces compared to the NC group were observed. Furthermore, the P2 group showed more bone volume ectocranially then the P1 group.

conclusionsBone formation subjacent to a P2 membrane was superior than subjacent to the P1 membrane and significantly better compared to the control. Modifications of the physico-chemical properties may enhance the osteoconductive competence of collagen membranes, supporting bone formation outside the bony defects.

Indexed as

Bone RegenerationCollagenMembranes, ArtificialProtein DenaturationRats, WistarSkullSolubilityX-Ray MicrotomographyAnimalsMaleOsteogenesisRatsTemperatureCollagenMembranes, Artificialbone formationcalvariacritical‐size‐defecthistologymicro‐CTmorphometrynovel collagen membranes

Identifiers

PMID39166760
PMCPMC11629447

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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.