199 research outputs found

    Dynamic renormalization group study of a generalized continuum model of crystalline surfaces

    Get PDF
    We apply the Nozieres-Gallet dynamic renormalization group (RG) scheme to a continuum equilibrium model of a d-dimensional surface relaxing by linear surface tension and linear surface diffusion, and which is subject to a lattice potential favoring discrete values of the height variable. The model thus interpolates between the overdamped sine-Gordon model and a related continuum model of crystalline tensionless surfaces. The RG flow predicts the existence of an equilibrium roughening transition only for d = 2 dimensional surfaces, between a flat low-temperature phase and a rough high-temperature phase in the Edwards-Wilkinson (EW) universality class. The surface is always in the flat phase for any other substrate dimensions d > 2. For any value of d, the linear surface diffusion mechanism is an irrelevant perturbation of the linear surface tension mechanism, but may induce long crossovers within which the scaling properties of the linear molecular-beam epitaxy equation are observed, thus increasing the value of the sine-Gordon roughening temperature. This phenomenon originates in the non-linear lattice potential, and is seen to occur even in the absence of a bare surface tension term. An important consequence of this is that a crystalline tensionless surface is asymptotically described at high temperatures by the EW universality class.Comment: 22 pages, 5 figures. Accepted for publication in Physical Review

    Theoretical studies of the historical development of the accounting discipline: a review and evidence

    Get PDF
    Many existing studies of the development of accounting thought have either been atheoretical or have adopted Kuhn's model of scientific growth. The limitations of this 35-year-old model are discussed. Four different general neo-Kuhnian models of scholarly knowledge development are reviewed and compared with reference to an analytical matrix. The models are found to be mutually consistent, with each focusing on a different aspect of development. A composite model is proposed. Based on a hand-crafted database, author co-citation analysis is used to map empirically the entire literature structure of the accounting discipline during two consecutive time periods, 1972–81 and 1982–90. The changing structure of the accounting literature is interpreted using the proposed composite model of scholarly knowledge development

    Time evolution of in vivo articular cartilage repair induced by bone marrow stimulation and scaffold implantation in rabbits

    Full text link
    Purpose: Tissue engineering techniques were used to study cartilage repair over a 12-month period in a rabbit model. Methods: A full-depth chondral defect along with subchondral bone injury were originated in the knee joint, where a biostable porous scaffold was implanted, synthesized of poly(ethyl acrylate-co-hydroxyethyl acrylate) copolymer. Morphological evolution of cartilage repair was studied 1 and 2 weeks, and 1, 3, and 12 months after implantation by histological techniques. The 3-month group was chosen to compare cartilage repair to an additional group where scaffolds were preseeded with allogeneic chondrocytes before implantation, and also to controls, who underwent the same surgery procedure, with no scaffold implantation. Results: Neotissue growth was first observed in the deepest scaffold pores 1 week after implantation, which spread thereafter; 3 months later scaffold pores were filled mostly with cartilaginous tissue in superficial and middle zones, and with bone tissue adjacent to subchondral bone. Simultaneously, native chondrocytes at the edges of the defect started to proliferate 1 week after implantation; within a month those edges had grown centripetally and seemed to embed the scaffold, and after 3 months, hyaline-like cartilage was observed on the condylar surface. Preseeded scaffolds slightly improved tissue growth, although the quality of repair tissue was similar to non-preseeded scaffolds. Controls showed that fibrous cartilage was mainly filling the repair area 3 months after surgery. In the 12-month group, articular cartilage resembled the untreated surface. Conclusions: Scaffolds guided cartilaginous tissue growth in vivo, suggesting their importance in stress transmission to the cells for cartilage repair.This study was supported by the Spanish Ministry of Science and Innovation through MAT2010-21611-C03-00 project (including the FEDER financial support), by Conselleria de Educacion (Generalitat Valenciana, Spain) PROMETEO/2011/084 grant, and by CIBER-BBN en Bioingenieria, Biomateriales y Nanomedicina. The work of JLGR was partially supported by funds from the Generalitat Valenciana, ACOMP/2012/075 project. CIBER-BBN is an initiative funded by the VI National R&D&i Plan 2008-2011, Iniciativa Ingenio 2010, Consolider Program, CIBER Actions and financed by the - Instituto de Salud Carlos III with assistance from the European Regional Development Fund.Sancho-Tello Valls, M.; Forriol, F.; Gastaldi, P.; Ruiz Sauri, A.; Martín De Llano, JJ.; Novella-Maestre, E.; Antolinos Turpín, CM.... (2015). Time evolution of in vivo articular cartilage repair induced by bone marrow stimulation and scaffold implantation in rabbits. International Journal of Artificial Organs. 38(4):210-223. https://doi.org/10.5301/ijao.5000404S210223384Becerra, J., Andrades, J. A., Guerado, E., Zamora-Navas, P., López-Puertas, J. M., & Reddi, A. H. (2010). Articular Cartilage: Structure and Regeneration. Tissue Engineering Part B: Reviews, 16(6), 617-627. doi:10.1089/ten.teb.2010.0191Nelson, L., Fairclough, J., & Archer, C. (2009). Use of stem cells in the biological repair of articular cartilage. Expert Opinion on Biological Therapy, 10(1), 43-55. doi:10.1517/14712590903321470MAINIL-VARLET, P., AIGNER, T., BRITTBERG, M., BULLOUGH, P., HOLLANDER, A., HUNZIKER, E., … STAUFFER, E. (2003). HISTOLOGICAL ASSESSMENT OF CARTILAGE REPAIR. The Journal of Bone and Joint Surgery-American Volume, 85, 45-57. doi:10.2106/00004623-200300002-00007Hunziker, E. B., Kapfinger, E., & Geiss, J. (2007). The structural architecture of adult mammalian articular cartilage evolves by a synchronized process of tissue resorption and neoformation during postnatal development. Osteoarthritis and Cartilage, 15(4), 403-413. doi:10.1016/j.joca.2006.09.010Onyekwelu, I., Goldring, M. B., & Hidaka, C. (2009). Chondrogenesis, joint formation, and articular cartilage regeneration. Journal of Cellular Biochemistry, 107(3), 383-392. doi:10.1002/jcb.22149Ahmed, T. A. E., & Hincke, M. T. (2010). Strategies for Articular Cartilage Lesion Repair and Functional Restoration. Tissue Engineering Part B: Reviews, 16(3), 305-329. doi:10.1089/ten.teb.2009.0590Hangody, L., Kish, G., Kárpáti, Z., Udvarhelyi, I., Szigeti, I., & Bély, M. (1998). Mosaicplasty for the Treatment of Articular Cartilage Defects: Application in Clinical Practice. Orthopedics, 21(7), 751-756. doi:10.3928/0147-7447-19980701-04Steinwachs, M. R., Guggi, T., & Kreuz, P. C. (2008). Marrow stimulation techniques. Injury, 39(1), 26-31. doi:10.1016/j.injury.2008.01.042Brittberg, M., Lindahl, A., Nilsson, A., Ohlsson, C., Isaksson, O., & Peterson, L. (1994). Treatment of Deep Cartilage Defects in the Knee with Autologous Chondrocyte Transplantation. New England Journal of Medicine, 331(14), 889-895. doi:10.1056/nejm199410063311401Richter, W. (2009). Mesenchymal stem cells and cartilagein situregeneration. Journal of Internal Medicine, 266(4), 390-405. doi:10.1111/j.1365-2796.2009.02153.xBartlett, W., Skinner, J. A., Gooding, C. R., Carrington, R. W. J., Flanagan, A. M., Briggs, T. W. R., & Bentley, G. (2005). Autologous chondrocyte implantationversusmatrix-induced autologous chondrocyte implantation for osteochondral defects of the knee. The Journal of Bone and Joint Surgery. British volume, 87-B(5), 640-645. doi:10.1302/0301-620x.87b5.15905Little, C. J., Bawolin, N. K., & Chen, X. (2011). Mechanical Properties of Natural Cartilage and Tissue-Engineered Constructs. Tissue Engineering Part B: Reviews, 17(4), 213-227. doi:10.1089/ten.teb.2010.0572Vikingsson, L., Gallego Ferrer, G., Gómez-Tejedor, J. A., & Gómez Ribelles, J. L. (2014). An «in vitro» experimental model to predict the mechanical behavior of macroporous scaffolds implanted in articular cartilage. Journal of the Mechanical Behavior of Biomedical Materials, 32, 125-131. doi:10.1016/j.jmbbm.2013.12.024Weber, J. F., & Waldman, S. D. (2014). Calcium signaling as a novel method to optimize the biosynthetic response of chondrocytes to dynamic mechanical loading. Biomechanics and Modeling in Mechanobiology, 13(6), 1387-1397. doi:10.1007/s10237-014-0580-xMauck, R. L., Soltz, M. A., Wang, C. C. B., Wong, D. D., Chao, P.-H. G., Valhmu, W. B., … Ateshian, G. A. (2000). Functional Tissue Engineering of Articular Cartilage Through Dynamic Loading of Chondrocyte-Seeded Agarose Gels. Journal of Biomechanical Engineering, 122(3), 252-260. doi:10.1115/1.429656Palmoski, M. J., & Brandt, K. D. (1984). Effects of static and cyclic compressive loading on articular cartilage plugs in vitro. Arthritis & Rheumatism, 27(6), 675-681. doi:10.1002/art.1780270611Khoshgoftar, M., Ito, K., & van Donkelaar, C. C. (2014). The Influence of Cell-Matrix Attachment and Matrix Development on the Micromechanical Environment of the Chondrocyte in Tissue-Engineered Cartilage. Tissue Engineering Part A, 20(23-24), 3112-3121. doi:10.1089/ten.tea.2013.0676Agrawal, C. M., & Ray, R. B. (2001). Biodegradable polymeric scaffolds for musculoskeletal tissue engineering. Journal of Biomedical Materials Research, 55(2), 141-150. doi:10.1002/1097-4636(200105)55:23.0.co;2-jPérez Olmedilla, M., Garcia-Giralt, N., Pradas, M. M., Ruiz, P. B., Gómez Ribelles, J. L., Palou, E. C., & García, J. C. M. (2006). Response of human chondrocytes to a non-uniform distribution of hydrophilic domains on poly (ethyl acrylate-co-hydroxyethyl methacrylate) copolymers. Biomaterials, 27(7), 1003-1012. doi:10.1016/j.biomaterials.2005.07.030Horbett, T. A., & Schway, M. B. (1988). Correlations between mouse 3T3 cell spreading and serum fibronectin adsorption on glass and hydroxyethylmethacrylate-ethylmethacrylate copolymers. Journal of Biomedical Materials Research, 22(9), 763-793. doi:10.1002/jbm.820220903Kiremitçi, M., Peşmen, A., Pulat, M., & Gürhan, I. (1993). Relationship of Surface Characteristics to Cellular Attachment in PU and PHEMA. Journal of Biomaterials Applications, 7(3), 250-264. doi:10.1177/088532829300700304Lydon, M. ., Minett, T. ., & Tighe, B. . (1985). Cellular interactions with synthetic polymer surfaces in culture. Biomaterials, 6(6), 396-402. doi:10.1016/0142-9612(85)90100-0Campillo-Fernandez, A. J., Pastor, S., Abad-Collado, M., Bataille, L., Gomez-Ribelles, J. L., Meseguer-Dueñas, J. M., … Ruiz-Moreno, J. M. (2007). Future Design of a New Keratoprosthesis. Physical and Biological Analysis of Polymeric Substrates for Epithelial Cell Growth. Biomacromolecules, 8(8), 2429-2436. doi:10.1021/bm0703012Funayama, A., Niki, Y., Matsumoto, H., Maeno, S., Yatabe, T., Morioka, H., … Toyama, Y. (2008). Repair of full-thickness articular cartilage defects using injectable type II collagen gel embedded with cultured chondrocytes in a rabbit model. Journal of Orthopaedic Science, 13(3), 225-232. doi:10.1007/s00776-008-1220-zKitahara, S., Nakagawa, K., Sah, R. L., Wada, Y., Ogawa, T., Moriya, H., & Masuda, K. (2008). In Vivo Maturation of Scaffold-free Engineered Articular Cartilage on Hydroxyapatite. Tissue Engineering Part A, 14(11), 1905-1913. doi:10.1089/ten.tea.2006.0419Martinez-Diaz, S., Garcia-Giralt, N., Lebourg, M., Gómez-Tejedor, J.-A., Vila, G., Caceres, E., … Monllau, J. C. (2010). In Vivo Evaluation of 3-Dimensional Polycaprolactone Scaffolds for Cartilage Repair in Rabbits. The American Journal of Sports Medicine, 38(3), 509-519. doi:10.1177/0363546509352448Wang, Y., Bian, Y.-Z., Wu, Q., & Chen, G.-Q. (2008). Evaluation of three-dimensional scaffolds prepared from poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) for growth of allogeneic chondrocytes for cartilage repair in rabbits. Biomaterials, 29(19), 2858-2868. doi:10.1016/j.biomaterials.2008.03.021Alió del Barrio, J. L., Chiesa, M., Gallego Ferrer, G., Garagorri, N., Briz, N., Fernandez-Delgado, J., … De Miguel, M. P. (2014). Biointegration of corneal macroporous membranes based on poly(ethyl acrylate) copolymers in an experimental animal model. Journal of Biomedical Materials Research Part A, 103(3), 1106-1118. doi:10.1002/jbm.a.35249Diego, R. B., Olmedilla, M. P., Aroca, A. S., Ribelles, J. L. G., Pradas, M. M., Ferrer, G. G., & Sánchez, M. S. (2005). Acrylic scaffolds with interconnected spherical pores and controlled hydrophilicity for tissue engineering. Journal of Materials Science: Materials in Medicine, 16(8), 693-698. doi:10.1007/s10856-005-2604-7Serrano Aroca, A., Campillo Fernández, A. J., Gómez Ribelles, J. L., Monleón Pradas, M., Gallego Ferrer, G., & Pissis, P. (2004). Porous poly(2-hydroxyethyl acrylate) hydrogels prepared by radical polymerisation with methanol as diluent. Polymer, 45(26), 8949-8955. doi:10.1016/j.polymer.2004.10.033Diani, J., Fayolle, B., & Gilormini, P. (2009). A review on the Mullins effect. European Polymer Journal, 45(3), 601-612. doi:10.1016/j.eurpolymj.2008.11.017Mullins, L. (1969). Softening of Rubber by Deformation. Rubber Chemistry and Technology, 42(1), 339-362. doi:10.5254/1.3539210Jurvelin, J. S., Buschmann, M. D., & Hunziker, E. B. (2003). Mechanical anisotropy of the human knee articular cartilage in compression. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 217(3), 215-219. doi:10.1243/095441103765212712Shapiro, F., Koide, S., & Glimcher, M. J. (1993). Cell origin and differentiation in the repair of full-thickness defects of articular cartilage. The Journal of Bone & Joint Surgery, 75(4), 532-553. doi:10.2106/00004623-199304000-00009SELLERS, R. S., ZHANG, R., GLASSON, S. S., KIM, H. D., PELUSO, D., D’AUGUSTA, D. A., … MORRIS, E. A. (2000). Repair of Articular Cartilage Defects One Year After Treatment with Recombinant Human Bone Morphogenetic Protein-2 (rhBMP-2)*. The Journal of Bone and Joint Surgery-American Volume, 82(2), 151-160. doi:10.2106/00004623-200002000-00001Hunziker, E. B., Michel, M., & Studer, D. (1997). Ultrastructure of adult human articular cartilage matrix after cryotechnical processing. Microscopy Research and Technique, 37(4), 271-284. doi:10.1002/(sici)1097-0029(19970515)37:43.0.co;2-oAppelman, T. P., Mizrahi, J., Elisseeff, J. H., & Seliktar, D. (2009). The differential effect of scaffold composition and architecture on chondrocyte response to mechanical stimulation. Biomaterials, 30(4), 518-525. doi:10.1016/j.biomaterials.2008.09.063Chung, C., & Burdick, J. A. (2008). Engineering cartilage tissue. Advanced Drug Delivery Reviews, 60(2), 243-262. doi:10.1016/j.addr.2007.08.027HUNZIKER, E. B., & ROSENBERG, L. C. (1996). Repair of Partial-Thickness Defects in Articular Cartilage. The Journal of Bone & Joint Surgery, 78(5), 721-33. doi:10.2106/00004623-199605000-00012Schulze-Tanzil, G. (2009). Activation and dedifferentiation of chondrocytes: Implications in cartilage injury and repair. Annals of Anatomy - Anatomischer Anzeiger, 191(4), 325-338. doi:10.1016/j.aanat.2009.05.003Umlauf, D., Frank, S., Pap, T., & Bertrand, J. (2010). Cartilage biology, pathology, and repair. Cellular and Molecular Life Sciences, 67(24), 4197-4211. doi:10.1007/s00018-010-0498-0Karystinou, A., Dell’Accio, F., Kurth, T. B. A., Wackerhage, H., Khan, I. M., Archer, C. W., … De Bari, C. (2009). Distinct mesenchymal progenitor cell subsets in the adult human synovium. Rheumatology, 48(9), 1057-1064. doi:10.1093/rheumatology/kep192Sakaguchi, Y., Sekiya, I., Yagishita, K., & Muneta, T. (2005). Comparison of human stem cells derived from various mesenchymal tissues: Superiority of synovium as a cell source. Arthritis & Rheumatism, 52(8), 2521-2529. doi:10.1002/art.21212Schaefer, D., Martin, I., Jundt, G., Seidel, J., Heberer, M., Grodzinsky, A., … Freed, L. E. (2002). Tissue-engineered composites for the repair of large osteochondral defects. Arthritis & Rheumatism, 46(9), 2524-2534. doi:10.1002/art.1049

    Matrix-assisted laser desorption ionization hydrogen/deuterium exchange studies to probe peptide conformational changes

    Get PDF
    AbstractHydrogen/deuterium (H/D) exchange chemistry monitored by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry is used to study solution phase conformational changes of bradykinin, α-melanocyte stimulating hormone, and melittin as water is added to methanol-d4, acetonitrile, and isopropanol-d8 solutions. The results are interpreted in terms of a preference for the peptides to acquire more compact conformations in organic solvents as compared to the random conformations. Our interpretation is supported by circular dichroism spectra of the peptides in the same solvent systems and by previously published structural data for the peptides. These results demonstrate the utility of MALDI-TOF as a method to monitor the H/D exchange chemistry of peptides and investigations of solution-phase conformations of biomolecules

    Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium

    Get PDF
    BACKGROUND Despite established clinical associations among major depression (MD), alcohol dependence (AD), and alcohol consumption (AC), the nature of the causal relationship between them is not completely understood. We leveraged genome-wide data from the Psychiatric Genomics Consortium (PGC) and UK Biobank to test for the presence of shared genetic mechanisms and causal relationships among MD, AD, and AC. METHODS Linkage disequilibrium score regression and Mendelian randomization (MR) were performed using genome-wide data from the PGC (MD: 135 458 cases and 344 901 controls; AD: 10 206 cases and 28 480 controls) and UK Biobank (AC-frequency: 438 308 individuals; AC-quantity: 307 098 individuals). RESULTS Positive genetic correlation was observed between MD and AD (rgMD−AD = + 0.47, P = 6.6 × 10−10). AC-quantity showed positive genetic correlation with both AD (rgAD−AC quantity = + 0.75, P = 1.8 × 10−14) and MD (rgMD−AC quantity = + 0.14, P = 2.9 × 10−7), while there was negative correlation of AC-frequency with MD (rgMD−AC frequency = −0.17, P = 1.5 × 10−10) and a non-significant result with AD. MR analyses confirmed the presence of pleiotropy among these four traits. However, the MD-AD results reflect a mediated-pleiotropy mechanism (i.e. causal relationship) with an effect of MD on AD (beta = 0.28, P = 1.29 × 10−6). There was no evidence for reverse causation. CONCLUSION This study supports a causal role for genetic liability of MD on AD based on genetic datasets including thousands of individuals. Understanding mechanisms underlying MD-AD comorbidity addresses important public health concerns and has the potential to facilitate prevention and intervention efforts

    Does Childhood Trauma Moderate Polygenic Risk for Depression? A Meta-analysis of 5765 Subjects From the Psychiatric Genomics Consortium.

    Get PDF
    BackgroundThe heterogeneity of genetic effects on major depressive disorder (MDD) may be partly attributable to moderation of genetic effects by environment, such as exposure to childhood trauma (CT). Indeed, previous findings in two independent cohorts showed evidence for interaction between polygenic risk scores (PRSs) and CT, albeit in opposing directions. This study aims to meta-analyze MDD-PRS × CT interaction results across these two and other cohorts, while applying more accurate PRSs based on a larger discovery sample.MethodsData were combined from 3024 MDD cases and 2741 control subjects from nine cohorts contributing to the MDD Working Group of the Psychiatric Genomics Consortium. MDD-PRS were based on a discovery sample of ∼110,000 independent individuals. CT was assessed as exposure to sexual or physical abuse during childhood. In a subset of 1957 cases and 2002 control subjects, a more detailed five-domain measure additionally included emotional abuse, physical neglect, and emotional neglect.ResultsMDD was associated with the MDD-PRS (odds ratio [OR] = 1.24, p = 3.6 × 10-5, R2 = 1.18%) and with CT (OR = 2.63, p = 3.5 × 10-18 and OR = 2.62, p = 1.4 ×10-5 for the two- and five-domain measures, respectively). No interaction was found between MDD-PRS and the two-domain and five-domain CT measure (OR = 1.00, p = .89 and OR = 1.05, p = .66).ConclusionsNo meta-analytic evidence for interaction between MDD-PRS and CT was found. This suggests that the previously reported interaction effects, although both statistically significant, can best be interpreted as chance findings. Further research is required, but this study suggests that the genetic heterogeneity of MDD is not attributable to genome-wide moderation of genetic effects by CT
    corecore