Differences in tissue-level properties as assessed by nano-scratching in patients with and without atypical femur fractures on long-term bisphosphonate therapy: a proof-of-concept pilot study.
Gabriel JohnsonLanny V GriffinShijing QiuSudhaker Dhanwada RaoPublished in: JBMR plus (2024)
Atypical femur fractures (AFFs) are a well-established complication of long-term bisphosphonate (BP) therapy, but their pathogenesis is not fully understood. Although many patients on long-term BP therapy have severe suppression of bone turnover (SSBT), not all such patients experience AFF, even though SSBT is a major contributor to AFF. Accordingly, we evaluated tissue level properties using nano-scratch testing of trans-iliac bone biopsy specimens in 12 women (6 with and 6 without AFF matched for age and race). Nano-scratch data were analyzed using a mixed-model ANOVA with volume-normalized scratch energy as a function of AFF (Yes or No), region (periosteal or endosteal), and a first-order interaction between region and AFF. Tukey post hoc analyses of the differences of least squared means of scratch energy were performed and reported as significant if p <.05. The volume-normalized scratch energy was 10.6% higher in AFF than in non-AFF patients ( p =.003) and 17.9 % higher in the periosteal than in the endosteal region ( p =.004). The differences in normalized scratch energy are suggestive of a higher hardness of the bone tissue after long-term BP therapy. The results of this study are consistent with other studies in the literature and demonstrate the efficacy of using Nano-Scratch technique to evaluate bone tissue that exhibits SSBT and AFF. Further studies using nano-scratch may help quantify and elucidate underlying mechanisms for the pathogenesis of AFF.
Keyphrases
- end stage renal disease
- bone mineral density
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- postmenopausal women
- machine learning
- mesenchymal stem cells
- artificial intelligence
- big data
- bone marrow
- drug induced
- data analysis
- replacement therapy
- chemotherapy induced
- finite element