A random fatigue of mechanize titanium abutment studied with Markoff chain and stochastic finite element formulation

To measure fatigue in dental implants and in its components, it is necessary to use a probabilistic analysis since the randomness in the output depends on a number of parameters (such as fatigue properties of titanium and applied loads, unknown beforehand as they depend on mastication habits). The purpose is to apply a probabilistic approximation in order to predict fatigue life, taking into account the randomness of variables. More accuracy on the results has been obtained by taking into account different load blocks with different amplitudes, as happens with bite forces during the day and allowing us to know how effects have different type of bruxism on the piece analysed.     

Glucosinolate contents in maca (Lepidium peruvianum Chacón) seeds, sprouts, mature plants and several derived commercial products

Several products derived from processed maca hypocotyls (Lepidium peruvianum Chacón, previously known asL. meyenii Walp.) were surveyed for glucosinolate content and quantified by HPLC analysis. These included pills, capsules, flour, liquor, tonic and mayonnaise. Different plant organs such as fresh hypocotyls and leaves, seeds, dry hypocotyls, and sprouts were also included in the survey. The most abundant glucosinolates detected in fresh and dry hypocotyls and leaves were the aromatic glucosinolates, benzylglucosinolate (glucotropaeolin) and p-methoxybenzylglucosinolate. Maca seeds and sprouts differed in profile from hypocotyls and leaves due to the modification of benzylglucosinolate. No glucosinolates were detected in liquor and tonic, while mayonnaise had only trace amounts of those glucosinolates. It had instead allylglucosinolate (sinigrin), which is an aliphatic glucosinolate. The pills, capsules and flour had the same glucosinolates as those observed in hypocotyls, but in variable amounts. The richest sources of glucosinolates were seeds, fresh hypocotyls and sprouts, in that order.     

Studies on the lipid dependency and mechanism of the translocation of the mitochondrial precursor protein apocytochrome c across model membranes

The lipid dependency of apocytochrome c binding to model membranes and of the translocation of the precursor protein across these membranes was studied by using large unilamellar, trypsin-containing vesicles. These vesicles were improved with respect to those used in a previous article (Rietveld, A., and de Kruijff, B. (1984) J. Biol. Chem. 259, 6704-6706), in the sense that a lower amount of trypsin was enclosed. In mixed egg phosphatidylcholine/bovine brain phosphatidylserine vesicles, both the Kd of apocytochrome c binding (about 20 microM) and the number of phosphatidylserine molecules interacting with the protein was found to be constant. When the phosphatidylserine fraction in the vesicles is more than 15-30% apocytochrome c addition results in the exposure of (a part of) the protein to the internal, trypsin-containing vesicle medium, which process we conceive as a translocation event. Also the interaction of apocytochrome c with vesicles composed of phosphatidylcholine and another acidic phospholipid in a 1:1 ratio, leads to the translocation of the protein across the model membrane. The affinity of this binding was found to be in the order cardiolipin greater than phosphatidylglycerol greater than phosphatidylinositol greater than phosphatidylserine. By varying the lipid composition of the vesicles, it could be demonstrated that the translocation requires a fluid bilayer. In addition, protein specificity was shown for the translocation process. Although apocytochrome c-lipid interaction causes vesicle aggregation, fusion by lipid mixing could not be detected. Due to the apocytochrome c-lipid interaction also, protein aggregates and oligomers have been formed. These results will be discussed in the light of a model for translocation of a precursor protein across a model membrane. The relevance for the mitochondrial system will also be discussed.