Intersections Between Mitochondrial Metabolism and Redox Biology Mediate Posttraumatic Osteoarthritis.

PURPOSE OF REVIEW: This review will cover foundational studies and recent findings that established key concepts for understanding the importance of redox biology to chondrocyte mitochondrial function and osteoarthritis pathophysiology after injury. RECENT FINDINGS: Articular chondrocyte mitochondria can be protected with a wide variety of antioxidants that will be discussed within a framework suggested by classic studies. These agents not only underscore the importance of thiol metabolism and associated redox function for chondrocyte mitochondria but also suggest complex interactions with signal transduction pathways and other molecular features of osteoarthritis that require more thorough investigation. Emerging evidence also indicates that reductive stress could occur alongside oxidative stress. Recent studies have shed new light on historic paradoxes in chondrocyte redox and mitochondrial physiology, leading to the development of promising disease-modifying therapies for posttraumatic osteoarthritis.

A reciprocal relationship between mitochondria and lipid peroxidation determines the chondrocyte intracellular redox environment.

In orthopedic research, many studies have applied vitamin E as a protective antioxidant or used tert-butyl hydroperoxide to induce oxidative injury to chondrocytes. These studies often support the hypothesis that joint pathology causes oxidative stress and increased lipid peroxidation that might be prevented with lipid antioxidants to improve cell survival or function and joint health; however, lipid antioxidant supplementation was ineffective against osteoarthritis in clinical trials and animal data have been equivocal. Moreover, increased circulating vitamin E is associated with increased rates of osteoarthritis. This disconnect between benchtop and clinical results led us to hypothesize that oxidative stress-driven paradigms of chondrocyte redox function do not capture the metabolic and physiologic effects of lipid antioxidants and prooxidants on articular chondrocytes. We used ex vivo and in vivo cartilage models to investigate the effect of lipid antioxidants on healthy, primary, articular chondrocytes and applied immuno-spin trapping techniques to provide a broad indicator of high levels of oxidative stress independent of specific reactive oxygen species. Key findings demonstrate lipid antioxidants were pro-mitochondrial while lipid prooxidants decreased mitochondrial measures. In the absence of injury, radical formation was increased by lipid antioxidants; however, in the presence of injury, radical formation was decreased. In unstressed conditions, this relationship between chondrocyte mitochondria and redox regulation was reproduced in vivo with overexpression of glutathione peroxidase 4. In mice aged 18 months or more, overexpression of glutathione peroxidase 4 significantly decreased the presence of pro-mitochondrial peroxisome proliferation activated receptor gamma and deranged the relationship between mitochondria and the redox environment. This complex interaction suggests strategies targeting articular cartilage may benefit from adopting more nuanced paradigms of articular chondrocyte redox metabolism.

Sex-based differences in the severity of radiation-induced arthrofibrosis.

As cancer survivorship increases, so does the number of patients that suffer from the late effects of radiation therapy. This includes arthrofibrosis, the development of stiff joints near the field of radiation. Previous reports have concentrated on skin fibrosis around the joint but largely ignored the deeper tissues of the joint. We hypothesized that fat, muscle, and the joint tissues themselves would play a more significant role in joint contracture after radiation than the skin surrounding the joint. To address this hypothesis, we irradiated the right hind flanks of mice with fractionated and unfractionated dose schedules, then monitored the mice for 3 months postradiotherapy. Mice were euthanized and physiological indications of arthrofibrosis including limb contracture and joint resting position were assessed. Stifle (knee) joints demonstrated significant arthrofibrosis, but none was observed in the hock (ankle) joints. During these studies, we were surprised to find that male and female mice showed a significantly different response to radiation injury. Female mice developed more injuries, had significantly worse contracture, and showed a greater difference in the expression of all markers studied. These results suggest that women undergoing radiation therapy might be at significantly greater risk for developing arthrofibrosis and may require specific adjustments to their care.

Extracellular biomolecular free radical formation during injury.

OBJECTIVE: Determine if oxidative damage increases in articular cartilage as a result of injury and matrix failure and whether modulation of the local redox environment influences this damage. Osteoarthritis is an age associated disease with no current disease modifying approaches available. Mechanisms of cartilage damage in vitro suggest tissue free radical production could be critical to early degeneration, but these mechanisms have not been described in intact tissue. To assess free radical production as a result of traumatic injury, we measured biomolecular free radical generation via immuno-spin trapping (IST) of protein/proteoglycan/lipid free radicals after a 2 J/cm2 impact to swine articular cartilage explants. This technique allows visualization of free radical formation upon a wide variety of molecules using formalin-fixed, paraffin-embedded approaches. Scoring of extracellular staining by trained, blinded scorers demonstrated significant increases with impact injury, particularly at sites of cartilage cracking. Increases remain in the absence of live chondrocytes but are diminished; thus, they appear to be a cell-dependent and -independent feature of injury. We then modulated the extracellular environment with a pulse of heparin to demonstrate the responsiveness of the IST signal to changes in cartilage biology. Addition of heparin caused a distinct change in the distribution of protein/lipid free radicals at sites of failure alongside a variety of pertinent redox changes related to osteoarthritis. This study directly confirms the production of biomolecular free radicals from articular trauma, providing a rigorous characterization of their formation by injury.

Mid-infrared absorption by soft tissue sarcoma and cell ablation utilizing a mid-infrared interband cascade laser.

SIGNIFICANCE: Mid-infrared (MIR) light refers to wavelengths ranging from 3 to 30 µm and is the most attractive spectral region for ablation of soft and hard tissues. This is because building blocks of biological tissue, such as water, proteins, and lipids, exhibit molecular vibrational modes in the MIR wavelengths that result in strong MIR light absorption. To date, researchers investigating MIR lasers for surgical applications have used bulky light sources, such as free electron lasers, nonlinear light generators, and carbon dioxide lasers. We demonstrate the use of a tiny (a few microns wide, a few millimeters long) MIR interband cascade laser (ICL) for surgical thermal ablation applications. AIM: Our goal is to demonstrate the use of an ICL for surgical thermal ablation and demonstrate its efficacy in ablating normal fibroblasts and primary undifferentiated pleomorphic sarcoma tumor cells (C1619). APPROACH: We conducted Fourier transform infrared spectroscopy analysis of healthy and cancerous tissue samples, which indicated that the absorption of tumor tissue is higher than healthy tissue around 3.3-µm wavelength. These results enabled us to select an ICL emission wavelength, λ, of 3.3 µm to probe normal fibroblast and primary undifferentiated pleomorphic sarcoma cell survival after ICL exposure. RESULTS: We show that the absorption of tumorous tissue is higher than that of healthy tissues around the 3-µm MIR wavelength. We demonstrate that the ICL is able to ablate cancer cells at very low-power levels that can be clinically implemented but that this effect does not appear to be specific to C1619 when compared to normal fibroblasts. CONCLUSIONS: Our study demonstrates that ICLs may represent an exciting new avenue toward precise laser-based thermal ablation.

Deep Learning for Chondrocyte Identification in Automated Histological Analysis of Articular Cartilage.

Background: Histology-based methods are commonly used in osteoarthritis (OA) research because they provide detailed information about cartilage health at the cellular and tissue level. Computer-based cartilage scoring systems have previously been developed using standard image analysis techniques to give more objective and reliable evaluations of OA severity. The goal of this work was to develop a deep learning-based method to segment chondrocytes from histological images of cartilage and validate the resulting method via comparison with human segmentation. Methods: The U-Net approach was adapted for the task of chondrocyte segmentation. A training dataset consisting of 235 images and a validation set consisting of 25 images in which individual chondrocytes had been manually segmented, were used for training the U-Net. Chondrocyte count, detection accuracy, and boundary segmentation of the trained U-Net was evaluated by comparing its results with those of human observers. Results: The U-Net chondrocyte counts were not significantly different (p = 0.361 in a paired t-test) than the algorithm trainer counts (Pearson correlation coefficient = 0.92). The five expert observers had good agreement on chondrocyte counts (intraclass correlation coefficient = 0.868), however the resulting U-Net counted a significantly fewer chondrocytes than the average of those expert observers (p < 0.001 in a paired t-test). Chondrocytes were accurately detected by the U-Net (F1 scores = 0.86, 0.90, with respect to the selected expert observer and algorithm trainer). Segmentation accuracy was also high (IOU = 0.828) relative to the algorithm trainer. Conclusions: This work developed a method for chondrocyte segmentation from histological images of arthritic cartilage using a deep learning approach. The resulting method detected chondrocytes and delineated them with high accuracy. The method will continue to be improved through expansion to detect more complex cellular features representative of OA such as cell cloning. Clinical Relevance: The imaging tool developed in this work can be integrated into an automated cartilage health scoring system and helps provide a robust, objective and reliable assessment of OA severity in cartilage.