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Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_18 | Pages 113 - 113
14 Nov 2024
Giger N Schröder M Arens D Gens L Zeiter S Stoddart M Wehrle E
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Background

The molecular mechanisms underlying non-union bone fractures largely remain elusive. Recently, spatial transcriptomics approaches for musculoskeletal tissue samples have been developed requiring direct placement of histology sections on barcoded slides. However, Formalin-Fixed-Paraffin-Embedded (FFPE) bone sections have been associated with limited RNA quality and read depth compared to soft tissue. Here, we test spatial transcriptomics workflows based on transcriptomic probe transfer to characterize molecular features discriminating non-union and union bone fractures in mice.

Method

Histological sections (n=8) used for spatial transcriptomics (Visium CytAssist FFPE; 10x Genomics, n=4 on glass slides, n=4 on hydrogel-coated slides) were obtained from a fracture healing study in female 20-week-old C57BL/6J mice receiving either a femur osteotomy (0.7mm) or a segmental defect (2.4mm) (license 22/2022, Grisons CH). Sequence alignment and manual segmentation of different tissues (bone, defect region/callus, bone marrow, muscle) were performed using SpaceRanger and LoupeBrowser (10x Genomics). Differential gene expression was performed using DESeq2 (Seurat) followed by Gene-Set-Enrichment-Analysis (GSEA) of Gene Ontology (ClusterProfiler). Group comparison of quality measures was done using a Welch's t-test. Results are given as mean±standard deviation.


Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_18 | Pages 30 - 30
14 Nov 2024
Schröder M Gens L Arens D Giger N Gehweiler D Nehrbass D Zderic I Zeiter S Stoddart M Wehrle E
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Introduction

Immunomodulation represents a novel strategy to improve bone healing in combination with low doses of bone morphogenetic growth factors like BMP-2. This study aims to investigate the effect and timing of monoclonal anti-IL-1ß antibody administration with 1μg BMP-2 on bone healing over 14 weeks in a rat femur segmental defect model.

Method

2 mm femoral defects were created in 22-27 weeks-old female Fischer F344 rats, internally fixed with a plate (animal license: GR/19/2022) using established protocols for analgesia and anesthesia. Animals (n=4/group) received either a collagen sponge, a collagen sponge+1μg BMP-2 (InductOs, Medtronic) or a collagen sponge+1μg BMP-2 with a monoclonal anti-IL-1ß antibody (BioXCell, 10 mg/ml), administered intravenously under anesthesia every third day until day 15, from day 0 or 3. In vivo micro-CT was performed after surgery and at 2, 3, 4, 6, 8, 10 and 14-weeks post-OP. Mechanical properties of the operated femurs were assessed by 4-point bending (Instron5866) and compared to contralateral femurs (one-way ANOVA, GraphPad Prism8). Histopathological analysis was performed semi-quantitatively on Giemsa-Eosin-stained sections (Olympus BX63) using a six-grade severity grading scale.


Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_22 | Pages 58 - 58
1 Dec 2017
Schröder M Windhagen H Calliess T Angrisani N Reifenrath J
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Aim

The aim of this study was to establish an implant-associated osteomyelitis model in rats with the ability to quantify biofilm formation on implants for prospective evaluation of antibacterial effects on micro-structured implant surfaces.

Method

Staphylococcus aureus (strain 36/07) suspension with infection concentrations of 106, 105, 104 and 103 CFU/10µl, respectively was injected in the tibia of 32 rats (n=8 per group). Afterwards a titanium implant (0.8×0.8×12 mm) was inserted. 8 rats were implanted with a preincubated implant (107 CFU/ml, 12 h) and 8 rats served as a control (injection of 0.9% NaCl). During the follow up, clinical, radiographic and µ-CT examinations were conducted. On day 21 post op, all rats were sacrificed. Implant and tibia were explanted under sterile conditions. The implant was stained with green and red fluorescent nucleic acid dye (live/ dead) and analyzed by confocal microscopy. The amount of vivid and dead biomass as well as vivid bacteria on the implant surface was calculated with an image software*.