Comparison of biophysical stimuli for mechano-regulation of tissue differentiation during fracture healing

Most long-bone fractures heal through indirect or secondary fracture healing, a complex process in which endochondral ossification is an essential part and bone is regenerated by tissue differentiation. This process is sensitive to the mechanical environment, and several authors have proposed mechano-regulation algorithms to describe it using strain, pore pressure and/or interstitial fluid velocity as biofeedback variables. The aim of this study was to compare various mechano-regulation algorithms' abilities to describe normal fracture healing in one computational model. Additionally, we hypothesized that tissue differentiation during normal fracture healing could be equally well regulated by the individual mechanical stimuli, e.g. deviatoric strain, pore pressure or fluid velocity. A biphasic finite element model of an ovine tibia with a 3mm fracture gap and callus was used to simulate the course of tissue differentiation during normal fracture healing. The load applied was regulated in a biofeedback loop, where the load magnitude was determined by the interfragmentary movement in the fracture gap. All the previously published mechano-regulation algorithms studied, simulated the course of normal fracture healing correctly. They predicted (1) intramembranous bone formation along the periosteum and callus tip, (2) endochondral ossification within the external callus and cortical gap, and (3) creeping substitution of bone towards the gap from the initial lateral osseous bridge. Some differences between the effects of the algorithms were seen, but they were not significant. None of the volumetric components, i.e. pore pressure or fluid velocity, alone were able to correctly predict spatial or temporal tissue distribution during fracture healing. However, simulation as a function of only deviatoric strain accurately predicted the course of normal fracture healing. This suggests that the deviatoric component may be the most significant mechanical parameter to guide tissue differentiation during indirect fracture healing.     

Kendrin is a novel substrate for separase involved in the licensing of centriole duplication

The centrosome, consisting of a pair of centrioles surrounded by pericentriolar material, directs the formation of bipolar spindles during mitosis. Aberrant centrosome number can promote chromosome instability, which is implicated in tumorigenesis. Thus, centrosome duplication needs to be tightly regulated to occur only once per cell cycle. Separase, a cysteine protease that triggers sister chromatid separation, is involved in centriole disengagement, which licenses centrosomes for the next round of duplication. However, at least two questions remain unsolved: what is the substrate relevant to the disengagement, and how does separase, activated at anaphase onset, act on the disengagement that occurs during late mitosis. Here, we show that kendrin, also named pericentrin, is cleaved by activated separase at a consensus site in vivo and in vitro, and this leads to the delayed release of kendrin from the centrosome later in mitosis. Furthermore, we demonstrate that expression of a noncleavable kendrin mutant suppresses centriole disengagement and subsequent centriole duplication. Based on these results, we propose that kendrin is a novel and crucial substrate for separase at the centrosome, protecting the engaged centrioles from premature disengagement and thereby blocking reduplication until the cell passes through mitosis.     

Determining the most important cellular characteristics for fracture healing using design of experiments methods

Computational models are employed as tools to investigate possible mechanoregulation pathways for tissue differentiation and bone healing. However, current models do not account for the uncertainty in input parameters, and often include assumptions about parameter values that are not yet established. The objective of this study was to determine the most important cellular characteristics of a mechanoregulatory model describing both cell phenotype-specific and mechanobiological processes that are active during bone healing using a statistical approach. The computational model included an adaptive two-dimensional finite element model of a fractured long bone. Three different outcome criteria were quantified: (1) ability to predict sequential healing events, (2) amount of bone formation at early, mid and late stages of healing and (3) the total time until complete healing. For the statistical analysis, first a resolution IV fractional factorial design (L₆₄) was used to identify the most significant factors. Thereafter, a three-level Taguchi orthogonal array (L₂₇) was employed to study the curvature (non-linearity) of the 10 identified most important parameters. The results show that the ability of the model to predict the sequences of normal fracture healing was predominantly influenced by the rate of matrix production of bone, followed by cartilage degradation (replacement). The amount of bone formation at early stages was solely dependent on matrix production of bone and the proliferation rate of osteoblasts. However, the amount of bone formation at mid and late phases had the rate of matrix production of cartilage as the most influential parameter. The time to complete healing was primarily dependent on the rate of cartilage degradation during endochondral ossification, followed by the rate of cartilage formation. The analyses of the curvature revealed a linear response for parameters related to bone, where higher rates of formation were more beneficial to healing. In contrast, parameters related to fibrous tissue and cartilage showed optimum levels. Some fibrous connective tissue- and cartilage formation was beneficial to bone healing, but too much of either tissue delayed bone formation. The identified significant parameters and processes are further confirmed by in vivo animal experiments in the literature. This study illustrates the potential of design of experiments methods for evaluating computational mechanobiological model parameters and suggests that further experiments should preferably focus at establishing values of parameters related to cartilage formation and degradation.     

Phosphorylation of Nucleotide Molecules in Hydrothermal Environments

Phosphorylation of AMP into ADP and ATP, that can outrun their hydrolysis, was made possible in a simulated hydrothermal environment when trimetaphosphate was used as the phosphate source. The best yields of phosphorylated products were obtained when the reaction fluids whose temperature was set at about 100 degrees centigrade was injected into the cold environment maintained at 0 degree in a recycling manner. Hydrothermal environments in the primitive ocean could also have served as prebiotic sites for phosphorylation, among others.     

Use of layer silicate for protein crystallization: effects of Micromica and chlorite powders in hanging drops

Two kinds of layer silicate powder, Micromica and chlorite, were used to aid protein crystallization by the addition to hanging drops. Using appropriate crystallization buffers, Micromica powder facilitated crystal growth speed for most proteins tested in this study. Furthermore, the addition of Micromica powder to hanging drops allowed the successful crystallization of lysozyme, catalase, concanavalin A, and trypsin even at low protein concentrations and under buffer conditions that otherwise would not generate protein crystals. Except for threonine synthase and apoferritin, the presence of chlorite delayed crystallization but induced the formation of large crystals. X-ray analysis of thaumatin crystals generated by our novel procedure gave better quality data than did that of crystals obtained by a conventional hanging drop method. Our results suggest that the speed of crystal growth and the quality of the corresponding X-ray data may be inversely related, at least for the formation of thaumatin crystals. The effect of Micromica and chlorite powders and the application of layer silicate powder for protein crystallization are discussed.     

Dysfunction of the ER chaperone BiP accelerates the renal tubular injury

Tubular-interstitial injury plays a key role in the progression of chronic kidney disease. Although endoplasmic reticulum (ER) stress plays significant roles in the development of chronic diseases such as neurodegenerative disease, cardiomyopathy and diabetes mellitus, its pathophysiological role in chronic renal tubular cell injury remains unknown. BiP is an essential chaperone molecule that helps with proper protein folding in the ER. Recently, we have produced a knock-in mouse that expresses a mutant-BiP in which the retrieval sequence to the ER is deleted in order to elucidate physiological processes that are sensitive to ER functions in adulthood. The heterozygous mutant-BiP mice showed significant tubular-interstitial lesions with aging. Furthermore, proteinuria induced by chronic protein overload accelerated the tubular-interstitial lesions in the mutant mice, accompanying caspase-12 activation and tubular cell apoptosis. These results suggest that the ER stress pathway is significantly involved in the pathophysiology of chronic renal tubular-interstitial injury in vivo.     

Ethanol-induced pseudohyphal transition in the cells of Candida tropicalis: participation of phosphoinositide signal transduction

Ethanol-induced pseudohyphal development in the cells of Candida tropicalis Pk233 was accompanied by the transient accumulation of inositol 1,4,5-trisphosphate (IP3) that occurred at an early growth stage. The concomitant addition of myo-inositol prevented the activation of IP3 accumulation and cancelled pseudohyphal development in the presence of ethanol. The addition of a specific phospholipase C inhibitor, U73 122, inhibited ethanol-induced pseudohyphal transition at the concentrations of subinhibitory levels of cell growth. Pseudohyphal development was also induced by the Ca2+ ionophore, A23 187 in the absence of ethanol. The effect of A23 187 on the development of pseudohyphae was little influenced by myo-inositol, but stimulated by concomitant addition of 12-O-tetradecanoylphorbol 13-acetate. These results suggest that ethanol activated phospholipase C in competition with myo-inositol, and the resulting IP3-Ca2+ and protein kinase C pathways of PI signal transduction may work in pseudohyphal transition.     

Seroprevalence of Japanese encephalitis virus infection in captive Japanese macaques (Macaca fuscata)

Japanese encephalitis virus (JEV), which is transmitted by mosquitoes, infects many animal species and causes serious acute encephalitis in humans and horses. In this study, a serosurvey of JEV in Japanese macaques (Macaca fuscata) reared in Aichi Prefecture was conducted using purified JEV as an antigen for ELISA. The results revealed that 146 of 332 monkeys (44 %) were seropositive for JEV. In addition, 35 of 131 monkeys (27 %) born in the facility were seropositive, and the annual infection rate in the facility was estimated as 13 %. Our results provide evidence of the frequent exposure of many Japanese macaques to JEV, suggesting that there is a risk of JEV transmission to humans by mosquitoes.     

Crystal Structures of Ethanolamine Ammonia-lyase Complexed with Coenzyme B12 Analogs and Substrates

N-terminal truncation of the Escherichia coli ethanolamine ammonia-lyase β-subunit does not affect the catalytic properties of the enzyme (Akita, K., Hieda, N., Baba, N., Kawaguchi, S., Sakamoto, H., Nakanishi, Y., Yamanishi, M., Mori, K., and Toraya, T. (2010) J. Biochem. 147, 83–93). The binary complex of the truncated enzyme with cyanocobalamin and the ternary complex with cyanocobalamin or adeninylpentylcobalamin and substrates were crystallized, and their x-ray structures were analyzed. The enzyme exists as a trimer of the (αβ)₂ dimer. The active site is in the (β/α)₈ barrel of the α-subunit; the β-subunit covers the lower part of the cobalamin that is bound in the interface of the α- and β-subunits. The structure complexed with adeninylpentylcobalamin revealed the presence of an adenine ring-binding pocket in the enzyme that accommodates the adenine moiety through a hydrogen bond network. The substrate is bound by six hydrogen bonds with active-site residues. Argα¹⁶⁰ contributes to substrate binding most likely by hydrogen bonding with the O1 atom. The modeling study implies that marked angular strains and tensile forces induced by tight enzyme-coenzyme interactions are responsible for breaking the coenzyme Co–C bond. The coenzyme adenosyl radical in the productive conformation was modeled by superimposing its adenine ring on the adenine ring-binding site followed by ribosyl rotation around the N-glycosidic bond. A major structural change upon substrate binding was not observed with this particular enzyme. Gluα²⁸⁷, one of the substrate-binding residues, has a direct contact with the ribose group of the modeled adenosylcobalamin, which may contribute to the substrate-induced additional labilization of the Co–C bond.