Alterations in the jejunum of young goats caused by feeding soy protein-based diets.

This study was designed to investigate whether soy protein or soy protein supplemented with indispensable amino acids (AA) change the protein expression pattern and utilization of pre-cursors for RNA biosynthesis in jejunal mucosa in relation to casein and whether these changes affect mucosal cell growth. Kids were fed comparable diets based on cow;s milk, of which 50% of crude protein were replaced by either casein (CAS), soy protein (SP) or soy protein supplemented with indispensible AA (SPA) for 34 days (n = 4/group). Jejunal tissue was collected 5 h after adding a single dose of (15)N-RNA to the diet, in order to determine morphology, protein repertoire by two-dimensional gel electrophoresis and matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry, and RNA biosynthesis by isotope ratio-mass spectrometry. In mid-jejunum, morphological alterations induced by partial replacement of casein with soy protein were accompanied by changes in mucosal proteins related to generation of the cytoskeleton and in pathways for mucosal RNA biosynthesis, resulting in a smaller re-utilization of dietary RNA pre-cursors and in an increased activity of enzymes involved in nucleic acid breakdown. Soy protein supplemented with indispensible aminoacids tended to revise mucosal growth retardation with no impact on salvage of dietary RNA pre-cursors for mucosal RNA biosynthesis, but changes in cytoskeleton generation. Feeding soy protein with supplementation of indispensible AA does not ameliorate soy protein effects on mucosal morphology and RNA metabolism in the jejunum in a significant manner.

A milk diet partly containing soy protein does not change growth but regulates jejunal proteins in young goats.

Soy protein is known to alter intestinal function and structure. We determined in young goats whether a diet partly containing soy protein differently affects intestinal morphology and the jejunal and hepatic proteome as compared with a milk diet. Fourteen male 2-wk-old White German dairy goat kids were fed comparable diets based on whole cow's milk in which 35% of the crude protein was casein (milk protein group; MP) or soy protein supplemented by indispensable AA (SPAA) for 34 d (n = 7/group). Body weight gain and food efficiency were not different. Jejunal and hepatic tissue was collected to determine intestinal morphology by microscopy and protein repertoire by 2-dimensional gel electrophoresis and mass spectrometry. Jejunal crypt depth was reduced and villus height to crypt depth ratio was higher in SPAA than in milk protein. Out of 131 proteins identified, 32 proteins were found to be differently expressed in both groups. In SPAA, down-regulated jejunal proteins were involved in processes related to cytoskeleton generation, protein, lipid, and energy metabolism. Downregulated hepatic proteins were related to glycolysis and Krebs cycle. Thirteen proteins were upregulated in SPAA. Among these, 2 hepatic proteins were related to carbohydrate breakdown. The other 11 jejunal proteins were involved in cytoskeleton assembly, proteolysis, and carbohydrate breakdown. In addition, glutathione-S-transferase was found to be upregulated in the medial jejunum. In conclusion, a SPAA diet as compared with a milk diet was related to changes in jejunal morphology and jejunal proteins relevant for protein turnover, energy metabolism, and cytoskeleton assembly with no apparent impact on animal BW gain.

The map expansion obtained with recombinant inbred strains and intermated recombinant inbred populations for finite generation designs.

The generation of special crosses between different inbred lines such as recombinant inbred strains (RIS) and intermated recombinant inbred populations (IRIP) is being used to improve the power of QTL detection techniques, in particular fine mapping. These approaches acknowledge the fact that recombination of linked loci increases with every generation, caused by the accumulation of crossovers appearing between the loci at each meiosis. This leads to an expansion of the map distance between the loci. While the amount of the map expansion of RIS and IRIP is known for infinite inbred generations, it is not known for finite numbers of generations. This gap was closed here. Since the recursive evaluation of the map expansion factors turned out to be complex, a useful approximation was derived.

Carbon and nitrogen content based estimation of the fat content of animal carcasses in various species.

The objective of this study was to explore whether the C and N content can be used to estimate the fat content of animal carcasses. Considering the mean C and N contents of body fat and body protein, the fat content (EE) [%] can be predicted from C and N values [%] according to the generally valid equation EE = 1.3038 x C - 4.237 N. The application of this equation to estimate the total fat content of all animal carcasses results in significant differences in fat content between predicted and measured values. Therefore, we derived specific equations for rats, pigs, cattle, sheep, broilers and mice to predict the fat content by dual linear regression analysis (y = EE [% DM], x1 = C [% DM], x2 = N [% DM]) based on measured fat, C, and N contents of animal body samples. The specific equations for different animals showed residual standard deviations of 1.55, 1.63, 1.12, 1.35, 1.85 and 0.92% fat for rats, pigs, cattle, sheep, broilers and mice, respectively.

Models for chromatid interference with applications to recombination data.

Genetic interference means that the occurrence of one crossover affects the occurrence and/or location of other crossovers in its neighborhood. Of the three components of genetic interference, two are well modeled: the distribution of the number and the locations of chiasmata. For the third component, chromatid interference, there exists only one model. Its application to real data has not yet been published. A further, new model for chromatid interference is presented here. In contrast to the existing model, it is assumed that chromatid interference acts only in the neighborhood of a chiasma. The appropriateness of this model is demonstrated by its application to three sets of recombination data. Both models for chromatid interference increased fit significantly compared to assuming no chromatid interference, at least for parts of the chromosomes. Interference does not necessarily act homogeneously. After extending both models to allow for heterogeneity of chromatid interference, a further improvement in fit was achieved.

Which organic acids does hemofiltrate contain in the presence of acute renal failure?

It is not generally possible to measure most organic acids in the serum of critically ill patients, due to rapid metabolism and methodological problems. Only the regular measurement of lactic acid and the arterial ketone body ratio (acetoacetate/beta-hydroxybutyrate, AKBR) have been introduced in clinical practice, but these parameters can represent only a part of the disturbed metabolism. In pediatric patients, a chromatographical urine analysis has been established for detection of inborn errors of metabolism, which allows the determination of more than 50 organic acids simultaneously (gas chromatographic (GC) analysis in combination with mass spectrometry (MS)]. In continuous treatment of acute renal failure, hemofiltrate is always available, but it contains only low protein concentrations and after the filtration process, metabolism is rapidly stopped. The sieving coefficient of lactic acid is nearly one in hemofiltration. The aim of our study was to compare results of the regular and CG/MS methods in blood and hemofiltrate for lactic acid, and to find other organic acids of possible clinical importance. We investigated serum (lactic acid) and hemofiltrate of 40 critically ill patitens, similar to the urine analysis method for infants. All patients suffered from acute renal failure and were treated by continuous veno-venous hemofiltration (CVVH). The conditions of treatment were standardized (spontaneous ultrafiltration in the first hour), and the material (blood/hemofiltrate) was taken one hour after the beginning of extracorporeal circulation. Statistical methods included correlation analysis, nonparametric ANOVA with Wilcoxon scores (ranks of data), and stepwise discriminant analysis. Regular and GC/MS methods in hemofiltrate showed a good correlation for lactic acid. The best correlation with lactic acid was found for 4-hydroxy-phenyllactic acid (n=20, r=0.866), 2-hydroxy-valeric acid (n=22, r=0.7491) and 2-hydroxybutyric acid (n=32, r=0.5148). Age, sex, diagnosis, and APACHE II score play a subordinate role, but the presence of glyceric and citric acid possibly have prognostic importance [nonparimetric ANOVA with Wilcoxon scores (ranks of data)], as does the combination of 3-hydroxypropionic acid, glyceric acid, and threonic-acid-4-lacton (stepwise discriminant analysis). It can be concluded that in acute renal failure, the measurement of lactic acid and AKBR can reflect only a small part of disturbed metabolism. Hemofiltrate can be a useful medium in describing metabolic processes in critically ill patients with acute renal failure. Some inherited metabolic diseases in infants (phenylketonuria, maple syrup disease) and ketoacidosis show similar metabolic modifications.

Predictions of protein digestibility and lysine absorption in pigs.

With 294 feedstuffs-classified into 22 feedstuff categories-, from which in the original literature besides the crude protein (CP) and lysine (lys) contents their precaecal (pc) and partly their total (t) digestibilities in pigs had been presented, assessments of the pc and t apparent digestibilities (AD%) were done by two different ways. Between the prediction possibility using the mean value of nondigestible CP resp. lys (mean ndCP, means ndlys, g/kg DM) and the usual way of calculating average digestive coefficients (mean ADCP%, mean ADlys%) there were with regard to the validity of predictions only small differences, with the tendency of partly more advantageous results by the first cited procedure. Good assessments of pc ADCP% and pc ADlys%, where 70 ... 100 per cent of the single feedstuffs showed prediction errors of only < or = 5 digestibility units, were got for the protein concentrates field bean, lupin, soybean meal, sunflower seed meal, rapeseed meal, yeast and casein as well as with some restrictions for sorghum, linseed meal, blood meal and poultry by-product meal. Less reliable and connected with more uncertainties are the pc digestibility predictions for cereals, peas, cottonseed meals, meat (& bone) meals and fish meals: only 20 ... 30 per cent of the single feedstuffs showed good appraisals with differences < or = 5 digestibility units. In the rule t digestibilities can be assessed more exactly than pc digestibilities, for lys these predictions are mostly less precise than for CP.