8 research outputs found

    Aberrant axial mineralization precedes spinal ankylosis: a molecular imaging study in ank/ank mice

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    Abstract Introduction The diagnosis of ankylosing spondylitis is made from a combination of clinical features and the presence of radiographic evidence that may be detected only after many years of inflammatory back pain. It is not uncommon to have a diagnosis confirmed 5 to 10 years after the initial onset of symptoms. Development of a more-sensitive molecular imaging technology to detect structural changes in the joints would lead to earlier diagnosis and quantitative tracking of ankylosis progression. Progressive ankylosis (ank/ank) mice have a loss of function in the Ank gene, which codes for a regulator of PPi transport. In this study, we used these ank/ank mutant mice to assess a noninvasive, quantitative measure of joint ankylosis with near-infrared (NIR) molecular imaging in vivo. Methods Three age groups (8, 12, and 18 weeks) of ank/ank (15 mice) and wild-type littermates (12 +/+ mice) were assessed histologically and radiographically. Before imaging, OsteoSense 750 (bisphosphonate pamidronate) was injected i.v. Whole-body images were analyzed by using the multispectral Maestro imaging system. Results OsteoSense 750 signals in the paw joints were higher in ank/ank mice in all three age groups compared with controls. In the spine, significantly higher OsteoSense 750 signals were detected early, in 8-week-old ank/ank mice compared with controls, although minimal radiographic differences were noted at this time point. The molecular imaging changes in the ank/ank spine (8 weeks) were supported by histologic changes, including calcium apatite crystals at the edge of the vertebral bodies and new syndesmophyte formation. Conclusions Changes in joint pathology of ank/ank mice, as evaluated by histologic and radiographic means, are qualitative, but only semiquantitative. In contrast, molecular imaging provides a quantitative assessment. Ankylosis in ank/ank mice developed simultaneously in distal and axial joints, contrary to the previous notion that it is a centripetal process. NIR imaging might be feasible for early disease diagnosis and for monitoring disease progression in ankylosing spondylitis

    The Biological Basis of Joint Ankylosis: Studies in the ank/ank Mouse

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    The first objective of my work was to use the ank/ank (progressive ankylosis) mutant mice, which have a deficiency in inorganic pyrophosphate transport, to address the role of Ank in joint ankylosis. I observed the presence of hypertrophic chondrocytes in the uncalcified ank/ank mice articular cartilage. This novel phenotype is likely due to a dysregulation of chondrocyte maturation as these chondrocytes expressed hypertrophic chondrocyte markers (collagen type X and tissue non-specific alkaline phosphatase). I also showed by immunohistochemical staining that beta-catenin expression was upregulated and localized in the nuclei of articular ank/ank chondrocytes, suggesting activation of Wnt/beta-catenin signaling in these chondrocytes. The second objective was to use ank/ank mice as an informative model for understanding ankylosis mechanisms in human ankylosing spondylitis (AS) patients, as WNT/beta-catenin signaling plays an important role in ankylosis in AS patients. We attempted rescue of joint ankylosis in ank/ank mice by gene transfer of noggin, an antagonist of BMP signaling. Paradoxically, noggin-treated ank/ank mice had accelerated ankylosis, as evidenced by joint pathology and IHC staining of beta-catenin showed more intense signals in the spinal chondrocytes of the treated mice. As noggin and sclerostin (an antagonist of beta-catenin signaling) form a mutually inhibitory complex, we hypothesize that the formation of this complex results in relieving suppression of both beta-catenin and BMP signaling, leading to more severe ankylosis in ank/ank mice. By quantitative molecular imaging, I have demonstrated that ankylosis in these mutant mice developed simultaneously in distal and axial joint, instead of being a centripetal process. In summary, I have made three original observations in the ank/ank mice: the hypertrophic chondrocyte phenotype; activation of beta-catenin signaling and the simultaneous development of ankylosis in distal and axial joints. These mutant mice serve as valuable model for pre-clinical studies which enable modeling and testing of novel anti-ankylosis treatments.Ph

    Dickkopf-1 reduces hypertrophic changes in human chondrocytes derived from bone marrow stem cells

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    © 2018The in vitro process of chondrogenic differentiation of mesenchymal stem cells (MSCs) induces a pre-apoptotic hypertrophic phenotype, guided by the active status of the WNT/β‑catenin pathway. To achieve a stable chondrocyte phenotype for cartilage tissue engineering, it is necessary to gain a better understanding of specific genes that regulate the cartilage tissue phenotype. RNA sequencing (RNA-seq) analysis of tissue samples from bone, cartilage, growth plate and muscle show that Dickkopf-1 (DKK1), a natural WNT canonical signaling inhibitor, is expressed in cartilage tissue. This observation reinforces the concept that inhibition of the WNT/β‑catenin pathway is critical for preventing avoid chondrocyte hypertrophy in vitro. We used two doses of DKK1 in a pellet cell culture system to inhibit the terminal differentiation of chondrocytes derived from bone marrow mesenchymal stem cells (MSCs). Bone marrow MSCs were cultured in chondrogenic induction medium with 50 and 200 ng/ml

    Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging

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    [EN] Focal cortical dysplasias (FCDs) are a frequent cause of epilepsy. It has been reported that up to 40% of them cannot be visualized with conventional magnetic resonance imaging (MRI). The main objective of this work was to evaluate by means of a retrospective descriptive observational study whether the automated brain segmentation is useful for detecting FCD. One hundred and fifty-five patients, who underwent surgery between the years 2009 and 2016, were reviewed. Twenty patients with FCD confirmed by histology and a preoperative segmentation study, with ages ranging from 3 to 43 years (14 men), were analyzed. Three expert neuroradiologists visually analyzed conventional and advancedMRI with automated segmentation. They were classified into positive and negative concerning visualization of FCD by consensus. Of the 20 patients evaluated with conventional MRI, 12 were positive for FCD.Of the negative studies for FCD with conventional MRI, 2 (25%) were positive when they were analyzed with automated segmentation. In 13 of the 20 patients (with positive segmentation for FCD), cortical thickening was observed in 5 (38.5%), while pseudo thickening was observed in the rest of patients (8, 61.5%) in the anatomical region of the brain corresponding to the dysplasia. This work demonstrated that automated brain segmentation helps to increase detection of FCDs that are unable to be visualized in conventional MRI images.Sepúlveda, MM.; Rojas, GM.; Faure, E.; Pardo, CR.; Las Heras, F.; Okuma, C.; Cordovez, J.... (2020). Visual analysis of automated segmentation in the diagnosis of focal cortical dysplasias with magnetic resonance imaging. Epilepsy & Behavior. 102:1-10. https://doi.org/10.1016/j.yebeh.2019.106684S110102Fisher, R. S., Boas, W. van E., Blume, W., Elger, C., Genton, P., Lee, P., & Engel, J. (2005). Epileptic Seizures and Epilepsy: Definitions Proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia, 46(4), 470-472. doi:10.1111/j.0013-9580.2005.66104.xBanerjee, P. N., Filippi, D., & Allen Hauser, W. (2009). The descriptive epidemiology of epilepsy—A review. Epilepsy Research, 85(1), 31-45. doi:10.1016/j.eplepsyres.2009.03.003Ngugi, A. K., Kariuki, S. M., Bottomley, C., Kleinschmidt, I., Sander, J. W., & Newton, C. R. (2011). Incidence of epilepsy: A systematic review and meta-analysis. Neurology, 77(10), 1005-1012. doi:10.1212/wnl.0b013e31822cfc90Kwan, P., & Brodie, M. J. (2000). Early Identification of Refractory Epilepsy. New England Journal of Medicine, 342(5), 314-319. doi:10.1056/nejm200002033420503Laxer, K. D., Trinka, E., Hirsch, L. J., Cendes, F., Langfitt, J., Delanty, N., … Benbadis, S. R. (2014). The consequences of refractory epilepsy and its treatment. Epilepsy & Behavior, 37, 59-70. doi:10.1016/j.yebeh.2014.05.031Marcelo, G. M., Gonzalo, R. C., Jorge, C. M., Jaime, C. E., & Takeshi, A. K. (2013). Estrategias para mejorar la visualización de lesiones en pacientes con epilepsia refractaria. Revista Médica Clínica Las Condes, 24(6), 958-972. doi:10.1016/s0716-8640(13)70250-5Blümcke, I., Thom, M., Aronica, E., Armstrong, D. D., Vinters, H. V., Palmini, A., … Spreafico, R. (2010). The clinicopathologic spectrum of focal cortical dysplasias: A consensus classification proposed by an ad hoc Task Force of the ILAE Diagnostic Methods Commission1. Epilepsia, 52(1), 158-174. doi:10.1111/j.1528-1167.2010.02777.xBast, T., Ramantani, G., Seitz, A., & Rating, D. (2006). Focal cortical dysplasia: prevalence, clinical presentation and epilepsy in children and adults. Acta Neurologica Scandinavica, 113(2), 72-81. doi:10.1111/j.1600-0404.2005.00555.xTassi, L. (2002). Focal cortical dysplasia: neuropathological subtypes, EEG, neuroimaging and surgical outcome. Brain, 125(8), 1719-1732. doi:10.1093/brain/awf175Lerner, J. T., Salamon, N., Hauptman, J. S., Velasco, T. R., Hemb, M., Wu, J. Y., … Mathern, G. W. (2009). Assessment and surgical outcomes for mild type I and severe type II cortical dysplasia: A critical review and the UCLA experience. Epilepsia, 50(6), 1310-1335. doi:10.1111/j.1528-1167.2008.01998.xKabat, J., & Król, P. (2012). Ogniskowa dysplazja korowa – stan obecny wiedzy. Polish Journal of Radiology, 77(2), 35-43. doi:10.12659/pjr.882968Tatum, W. O., Benbadis, S. R., Hussain, A., Al-Saadi, S., Kaminski, B., Heriaud, L. S., & Vale, F. L. (2008). Ictal EEG remains the prominent predictor of seizure-free outcome after temporal lobectomy in epileptic patients with normal brain MRI. Seizure, 17(7), 631-636. doi:10.1016/j.seizure.2008.04.001Raff, U., Vargas, P. F., Rojas, G. M., Scherzinger, A. L., & Simon, J. H. (1997). Quantitation of T2 lesion load in multiple sclerosis with magnetic resonance imaging: A pilot study of a probabilistic neural network approach. Academic Radiology, 4(6), 431-437. doi:10.1016/s1076-6332(97)80051-7Raff, U., Rojas, G. M., Hutchinson, M., & Simon, J. H. (2000). Quantitation of T2 lesion load in patients with multiple sclerosis: A novel semiautomated segmentation technique. Academic Radiology, 7(4), 237-247. doi:10.1016/s1076-6332(00)80473-0Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL. NeuroImage, 62(2), 782-790. doi:10.1016/j.neuroimage.2011.09.015Fischl, B. (2012). FreeSurfer. NeuroImage, 62(2), 774-781. doi:10.1016/j.neuroimage.2012.01.021Dale, A. M., Fischl, B., & Sereno, M. I. (1999). Cortical Surface-Based Analysis. NeuroImage, 9(2), 179-194. doi:10.1006/nimg.1998.0395Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., … Dale, A. M. (2002). Whole Brain Segmentation. Neuron, 33(3), 341-355. doi:10.1016/s0896-6273(02)00569-xFischl, B., Sereno, M. I., & Dale, A. M. (1999). Cortical Surface-Based Analysis. NeuroImage, 9(2), 195-207. doi:10.1006/nimg.1998.0396De Macedo Rodrigues, K., Ben-Avi, E., Sliva, D. D., Choe, M., Drottar, M., Wang, R., … Zöllei, L. (2015). A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0–2 year age range. Frontiers in Human Neuroscience, 9. doi:10.3389/fnhum.2015.00021Devi, C. N., Chandrasekharan, A., V.K., S., & Alex, Z. C. (2017). Automatic segmentation of infant brain MR images: With special reference to myelinated white matter. Biocybernetics and Biomedical Engineering, 37(1), 143-158. doi:10.1016/j.bbe.2016.11.004Fisher, R. A. (1922). On the Interpretation of χ 2 from Contingency Tables, and the Calculation of P. Journal of the Royal Statistical Society, 85(1), 87. doi:10.2307/2340521Engel, J. (2006). Report of the ILAE Classification Core Group. Epilepsia, 47(9), 1558-1568. doi:10.1111/j.1528-1167.2006.00215.xMcInerney, T., & Terzopoulos, D. (1996). Deformable models in medical image analysis: a survey. Medical Image Analysis, 1(2), 91-108. doi:10.1016/s1361-8415(96)80007-7Xiaolan Zeng, Staib, L. H., Schultz, R. T., & Duncan, J. S. (1999). Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation. IEEE Transactions on Medical Imaging, 18(10), 927-937. doi:10.1109/42.811276MacDonald, D., Kabani, N., Avis, D., & Evans, A. C. (2000). Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI. NeuroImage, 12(3), 340-356. doi:10.1006/nimg.1999.0534Colliot, O., Bernasconi, N., Khalili, N., Antel, S. B., Naessens, V., & Bernasconi, A. (2006). Individual voxel-based analysis of gray matter in focal cortical dysplasia. NeuroImage, 29(1), 162-171. doi:10.1016/j.neuroimage.2005.07.021Wilke, M., Kassubek, J., Ziyeh, S., Schulze-Bonhage, A., & Huppertz, H. . (2003). Automated detection of gray matter malformations using optimized voxel-based morphometry: a systematic approach. NeuroImage, 20(1), 330-343. doi:10.1016/s1053-8119(03)00296-9Krsek, P., Maton, B., Korman, B., Pacheco-Jacome, E., Jayakar, P., Dunoyer, C., … Duchowny, M. (2008). Different features of histopathological subtypes of pediatric focal cortical dysplasia. Annals of Neurology, 63(6), 758-769. doi:10.1002/ana.21398Kini, L. G., Gee, J. C., & Litt, B. (2016). Computational analysis in epilepsy neuroimaging: A survey of features and methods. NeuroImage: Clinical, 11, 515-529. doi:10.1016/j.nicl.2016.02.013Halac, G., Delil, S., Zafer, D., Isler, C., Uzan, M., Comunoglu, N., … Ozkara, C. (2017). Compatibility of MRI and FDG-PET findings with histopathological results in patients with focal cortical dysplasia. Seizure, 45, 80-86. doi:10.1016/j.seizure.2016.11.024Huppertz, H.-J., Grimm, C., Fauser, S., Kassubek, J., Mader, I., Hochmuth, A., … Schulze-Bonhage, A. (2005). Enhanced visualization of blurred gray–white matter junctions in focal cortical dysplasia by voxel-based 3D MRI analysis. Epilepsy Research, 67(1-2), 35-50. doi:10.1016/j.eplepsyres.2005.07.00

    The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study

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    AimThe SARS-CoV-2 pandemic has provided a unique opportunity to explore the impact of surgical delays on cancer resectability. This study aimed to compare resectability for colorectal cancer patients undergoing delayed versus non-delayed surgery.MethodsThis was an international prospective cohort study of consecutive colorectal cancer patients with a decision for curative surgery (January-April 2020). Surgical delay was defined as an operation taking place more than 4 weeks after treatment decision, in a patient who did not receive neoadjuvant therapy. A subgroup analysis explored the effects of delay in elective patients only. The impact of longer delays was explored in a sensitivity analysis. The primary outcome was complete resection, defined as curative resection with an R0 margin.ResultsOverall, 5453 patients from 304 hospitals in 47 countries were included, of whom 6.6% (358/5453) did not receive their planned operation. Of the 4304 operated patients without neoadjuvant therapy, 40.5% (1744/4304) were delayed beyond 4 weeks. Delayed patients were more likely to be older, men, more comorbid, have higher body mass index and have rectal cancer and early stage disease. Delayed patients had higher unadjusted rates of complete resection (93.7% vs. 91.9%, P = 0.032) and lower rates of emergency surgery (4.5% vs. 22.5%, P ConclusionOne in 15 colorectal cancer patients did not receive their planned operation during the first wave of COVID-19. Surgical delay did not appear to compromise resectability, raising the hypothesis that any reduction in long-term survival attributable to delays is likely to be due to micro-metastatic disease

    The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study

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    The SARS-CoV-2 pandemic has provided a unique opportunity to explore the impact of surgical delays on cancer resectability. This study aimed to compare resectability for colorectal cancer patients undergoing delayed versus non-delayed surgery
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