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The Bone & Joint Journal
Vol. 97-B, Issue 8 | Pages 1144 - 1151
1 Aug 2015
Waki T Lee SY Niikura T Iwakura T Dogaki Y Okumachi E Kuroda R Kurosaka M

MicroRNAs (miRNAs ) are small non-coding RNAs that regulate gene expression. We hypothesised that the functions of certain miRNAs and changes to their patterns of expression may be crucial in the pathogenesis of nonunion. Healing fractures and atrophic nonunions produced by periosteal cauterisation were created in the femora of 94 rats, with 1:1 group allocation. At post-fracture days three, seven, ten, 14, 21 and 28, miRNAs were extracted from the newly generated tissue at the fracture site. Microarray and real-time polymerase chain reaction (PCR) analyses of day 14 samples revealed that five miRNAs, miR-31a-3p, miR-31a-5p, miR-146a-5p, miR-146b-5p and miR-223-3p, were highly upregulated in nonunion. Real-time PCR analysis further revealed that, in nonunion, the expression levels of all five of these miRNAs peaked on day 14 and declined thereafter. . Our results suggest that miR-31a-3p, miR-31a-5p, miR-146a-5p, miR-146b-5p and miR-223-3p may play an important role in the development of nonunion. These findings add to the understanding of the molecular mechanism for nonunion formation and may lead to the development of novel therapeutic strategies for its treatment. Cite this article: Bone Joint J 2015; 97-B:1144–51


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XXXVII | Pages 553 - 553
1 Sep 2012
Lustig S Allais E Boisset S Ferry T Tigaud S Neyret P Laurent F
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Introduction. Microbiological diagnosis of bone and joint infections (BJIs) currently relies on standard cultures which are time consuming and lack sensitivity. Various molecular approaches have been described and allowed improvement of BJI diagnosis. This study evaluated for the first time the performance of a DNA microarray-based assay (Prove-it™ Sepsis assay, PISA) for the rapid (<6 hours) detection and identification of 50 different species involved in BJI directly from clinical samples. Material and methods. We retrospectively selected 130 bone and joint samples (67 synovial fluids and 63 bone biopsies) including 114 positive and 16 negative samples. The microbiological diagnosis had been previously established either by culture(C+, n=53) or by PCR16S and sequencing when culture was negative (C-/PCR+). The positive samples were selected to match the species targeted on the DNA microarray. DNA extraction was performed before proceeding to PISA amplification and hybridization on every selected sample. Results. Among the 16 negative samples, one was detected positive with S. epidermidis by PISA, result that was secondarily confirmed using specific PCR. Among the 114 positive samples, 62.3% were positive using PISA with highly concordant identification compared to culture and PCR16S/sequencing results. Forty-three samples (37.7%) remained negative, illustrating a defect of sensitivity. However, PISA accurately detected methicillin resistance not only among the 16 C+/PISA+ Staphylococcus species (n=5) but also among the 28 C-/PCR16S+ Staphylococcus species (n=12) offering crucial rapid information to adapt the treatment of staphylococcal BJIs. Seven polymicrobial samples were also identified without extensive experiments. Discussion – Conclusion. Even if the sensitivity deserves to be improved by optimizing DNA extraction and investigating on human DNA interference, these preliminary promising results highlight that this new and simple microarray method could be in the future an alternative to conventional PCR16S for the diagnosis of BJI


Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_16 | Pages 56 - 56
1 Apr 2013
Dogaki Y Niikura T Lee S Koga T Okumachi E Waki T Kurosaka M
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Introduction. Our previous study using microarray analysis showed that Rad (Ras associated with diabetes) was highly expressed in nonunion. The purpose of this study is to investigate the gene expression and immunolocalization of Rad, and other Ras-related G proteins: Rem1 and Rem2 in fracture/nonunion site using rat experimental models. Hypothesis. We hypothesized that Rad had a significant role in nonunion formation. Materials & Methods. For standard healing model, K-wire was inserted into the femur and a closed fracture was created. Nonunion model was produced by periosteal cauterization at the fracture site. At post-fracture days 3, 7, 10, 14, 21, and 28, RNA was extracted from callus or fibrous tissue for real-time PCR. At day 14, specimens were harvested for immunohistochemistry. Results. Significant difference of Rad gene expression was not observed between standard healing fracture and nonunion at the earlier time points. In contrast, significantly higher expression in nonunion was observed at the later time points. There were no significant differences between standard healing fracture and nonunion in gene expression of Rem1 and Rem2. In immunohistochemical analysis, Rad and Rem1 were detected in the fracture site, and Rem2 was not detected. On the other hand, Rad was only detected in fibrous tissue in nonunion. Discussion & Conclusion. Our results suggest a significant role of Rad in fracture healing and nonunion formation. Rad may become a target agent for treatment of nonunion


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XXXVII | Pages 417 - 417
1 Sep 2012
Chaudhury S Xia Z Hulley P Carr A
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INTRODUCTION. There is increasing evidence for a multi-stage model of rotator cuff (RC) tendon tears, wherein healing is affected by tear size. The underlying pathophysiology however is not fully understood. Changes in the production and remodeling of the RC extracellular matrix (ECM) are likely to be important determinants of RC tendinopathy as they affect healing and the ability to bear loads. This study aimed to gain greater insight into size related tear pathogenesis by analyzing gene expression profiles from normal, small and massive RC tears. METHODS. The genetic profiles of 28 human RC tendons were analyzed using microarrays representing the entire genome. 11 massive and 5 small torn RC tendon specimens were obtained from tear edges intraoperatively, and compared to 12 age matched normal controls. Semiquantitative real-time polymerase chain reaction (RT-PCR) and immunohistochemistry were performed for validation. RESULTS. Numerous insightful gene changes were detected. Key changes included upregulation of aggrecan in massive tendon tears compared to normal controls, but not in small tears (p < 0.05 and > 2-fold change). Matrix metallopeptidases (MMP)-3,-10,-12,-13,-15,-21,-25 and a disintegrin and metallopeptidase (ADAMs)-12,-15,-22 were significantly upregulated in tears. Aggrecan was upregulated in massive tendon tears but not in small tears. Amyloid was downregulated in the small and massive tear groups when compared to normals. BMP-5 was upregulated in small tears only when compared to normals. As part of the chemotaxis pathway, IL-3,-10,-13,-15,-18 were upregulated in tears, whereas downregulation of IL-1,-8,-11,-27, was seen. RT-PCR and immunohistochemistry confirmed altered gene expression. CONCLUSION. The gene profiles of normal, small and massive RC tear groups suggested they are biologically distinct groups. In addition to confirming altered gene expression in pathways reported in previous studies, this study has identified a number of novel pathways which are affected between the different tendon tear and normal groups. This study identified that RC tear pathogenesis is contributed to by ECM remodeling genes, chemotaxis genes, aggrecan and amyloid. Further investigation is required to determine whether some of these genes may potentially have a role as biomarkers of failure. Modulating these ECM pathways may be a useful treatment strategy for improving clinical outcomes


Bone & Joint Research
Vol. 5, Issue 4 | Pages 106 - 115
1 Apr 2016
Gruber HE Ode G Hoelscher G Ingram J Bethea S Bosse MJ

Objectives

The biomembrane (induced membrane) formed around polymethylmethacrylate (PMMA) spacers has value in clinical applications for bone defect reconstruction. Few studies have evaluated its cellular, molecular or stem cell features. Our objective was to characterise induced membrane morphology, molecular features and osteogenic stem cell characteristics.

Methods

Following Institutional Review Board approval, biomembrane specimens were obtained from 12 patient surgeries for management of segmental bony defects (mean patient age 40.7 years, standard deviation 14.4). Biomembranes from nine tibias and three femurs were processed for morphologic, molecular or stem cell analyses. Gene expression was determined using the Affymetrix GeneChip Operating Software (GCOS). Molecular analyses compared biomembrane gene expression patterns with a mineralising osteoblast culture, and gene expression in specimens with longer spacer duration (> 12 weeks) with specimens with shorter durations. Statistical analyses used the unpaired student t-test (two tailed; p < 0.05 was considered significant).