Savory peptides present in Moromi obtained from soy sauce fermentation of yellow soybean

The presence of savory peptides in moromi has been investigated. Moromi was prepared by fermenting yellow soybean using Aspergillus oryzae as the starter at the first step (mold fermentation) and 20% brine solution at the next step (brine fermentation). The moromi was then ultrafiltered stepwise using membranes with MW cut-offs of 10,000, 3,000, and 500 Da, respectively. The fraction with MW <500 Da was chromatographed using Sephadex G-25 SF to yield four fractions, 1-4. Analysis of soluble peptides, NaCl content, alpha-amino nitrogen, amino acid composition, peptide profile using CE coupled with DAD, taste profile and free glutamic acid content, were performed for each fraction. Fraction 2 contained a relatively high total glutamic acid content, but a relatively low free glutamic acid content and had the highest umami taste. This fraction also had more peptides containing non-aromatic amino acids than the other fractions. The peptides present in fraction 2 may play a role, at least in part, in its intense umami taste.

Fermentation of heated gluten systems by gut microflora

The Maillard reaction causes changes to protein structure and occurs in foods mainly during thermal treatment. Melanoidins, the final products of the Maillard reaction, may enter the gastrointestinal tract, which is populated by different species of bacteria. In this study, melanoidins were prepared from gluten and glucose. Their effect on the growth of faecal bacteria was determined in culture with genotype and phenotype probes to identify the different species involved. Analysis of peptic and tryptic digests showed that low molecular mass products are formed from the degradation of melanoidins. Results showed a change in the growth of bacteria. This in vitro study demonstrated that melanoidins, prepared from gluten and glucose, affect the growth of the gut microflora.

Performing meta-analysis with incomplete statistical information in clinical trials

Background: Results from clinical trials are usually summarized in the form of sampling distributions. When full information (mean, SEM) about these distributions is given, performing meta-analysis is straightforward. However, when some of the sampling distributions only have mean values, a challenging issue is to decide how to use such distributions in meta-analysis. Currently, the most common approaches are either ignoring such trials or for each trial with a missing SEM, finding a similar trial and taking its SEM value as the missing SEM. Both approaches have drawbacks. As an alternative, this paper develops and tests two new methods, the first being the prognostic method and the second being the interval method, to estimate any missing SEMs from a set of sampling distributions with full information. A merging method is also proposed to handle clinical trials with partial information to simulate meta-analysis.

Estimating trophic link density from quantitative but incomplete diet data

The trophic link density and the stability of food webs are thought to be related, but the nature of this relation is controversial. This article introduces a method for estimating the link density from diet tables which do not cover the complete food web and do not resolve all diet items to species level. A simple formula for the error of this estimate is derived. Link density is determined as a function of a threshold diet fraction below which diet items are ignored (

The RET mutation E768D confers a late-onset Familial medullary thyroid carcinoma - only phenotype with incomplete penetrance: Implications for screening and management of carrier status

Objective: We describe a 4-generation family with familial medullary thyroid carcinoma (FMTC) - a variant of multiple endocrine neoplasia type 2 (MEN 2) without extra-thyroid features. RET mutation analysis confirmed an E768D mutation in exon 13 in 8 family members, 3 affected with medullary thyroid cancer alone while the other 5 were detected to be mutation carriers. This mutation has been described in very few families worldwide and the spectrum of disease and natural history is unclear. Results: Three affected members had medullary thyroid cancer (MTC) confirmed histologically at ages 25, 50 and 56 years, respectively. The E768D mutation appears to have a less aggressive clinical course compared to other high risk RET mutations with no evidence of clinical recurrence up to I I years after initial therapy. Of five gene carriers identified, two are asymptomatic at the age of 70 and 61, and three had raised calcitonin levels at 46, 39, and 45 years. Following total thyroidectomy, one gene carrier had a histologically normal thyroid at age 46, following a mildly elevated calcitonin, one had C-cell hyperplasia at the age of 39, and one had a frank focus of carcinoma in the left thyroid lobe at the age of 45. No members had evidence of phaeochromocytoma or parathyroid disease on screening. Conclusion: The RET E768D mutation is associated with MTC with a later age at presentation, incomplete penetrance and less aggressive course compared with other high risk RET mutations. To date in this family the E768D mutation has not been associated with either phaeochromocytoma or hyperparathyroidism. The appropriate screening strategy for and management of E768D carriers is difficult reflecting the phenotypic heterogeneity.

Reproductive disruption in Fasciola hepatica associated with incomplete efficacy of a new experimental formulation of triclabendazole

The objective of the present study was to analyse the reproductive viability (using histopathologic studies) of Fasciola hepatica from cattle artificially infected and treated subcutaneously with a new experimental formulation of triclabendazole (8 mg/kg b.w.). The results of the efficacy controlled test, which only takes into account the presence of live adult flukes, indicated that, whilst in the control group (n=7)533 live specimens were recovered, in the test groups (doses of 8 and 12 mg/kg b.w.) only 195 and 47 adults were recovered, respectively. These numbers indicate efficacies of 69% and 95.6%, respectively. It was observed in that dose of 8 mg/kg b.w. some specimens remained viable, but they were infertile, which severely compromises the biological cycle of the trematode. in the testis tubules of flukes treated with the low dose of TCBZ (8 mg/kg), very few cells were present and the vitelline follicles were markedly reduced in size and each follicle contained very few cells. This would have direct implications for the pathogenesis of the parasitosis since the remaining parasites would produce little clinical-productive manifestations, would stimulate the immune response and would find it difficult to establish future re-infestations/re-infections. Consequently, these observations will also prompt a review of certain methodological and interpretative aspects related to efficacy tests, where the only discriminative factor is the reduction of the adult parasite load. On one hand, histopathological studies could be complementary to the efficacy controlled test for TCBZ or other BZD formulations. (C) 2010 Elsevier B.V. All rights reserved.

Selective formation of a polar incomplete coordination cage induced by remote ligand substituents

Instead of highly symmetrical T-symmetry cages common in self-assembly, the p-NMe2-substituted triphosphine CH3C{CH2P(4-C6H4NMe2)(3) gives open, polar C-3 symmetry cages [Ag-6(triphos)(4)X-3](3+) which lack one of the expected face-capping anions; despite its subtlety this difference occurs selectively in solution and two examples have been crystallographically characterised.

Improving parameter learning of Bayesian nets from incomplete data

This paper addresses the estimation of parameters of a Bayesian network from incomplete data. The task is usually tackled by running the Expectation-Maximization (EM) algorithm several times in order to obtain a high log-likelihood estimate. We argue that choosing the maximum log-likelihood estimate (as well as the maximum penalized log-likelihood and the maximum a posteriori estimate) has severe drawbacks, being affected both by overfitting and model uncertainty. Two ideas are discussed to overcome these issues: a maximum entropy approach and a Bayesian model averaging approach. Both ideas can be easily applied on top of EM, while the entropy idea can be also implemented in a more sophisticated way, through a dedicated non-linear solver. A vast set of experiments shows that these ideas produce significantly better estimates and inferences than the traditional and widely used maximum (penalized) log-likelihood and maximum a posteriori estimates. In particular, if EM is adopted as optimization engine, the model averaging approach is the best performing one; its performance is matched by the entropy approach when implemented using the non-linear solver. The results suggest that the applicability of these ideas is immediate (they are easy to implement and to integrate in currently available inference engines) and that they constitute a better way to learn Bayesian network parameters.