Dataset Information

Martins2003_AmadoriDegradation

ABSTRACT: This a model from the article: Kinetic modelling of Amadori N-(1-deoxy-D-fructos-1-yl)-glycine degradation pathways. Part II--kinetic analysis. Martins SI, Van Boekel MA. Carbohydr Res2003 Jul;338(16):1665-78. 12873422, Abstract: A kinetic model for N-(1-deoxy-Image -fructos-1-yl)-glycine (DFG) thermal decomposition was proposed. Two temperatures (100 and 120 °C) and two pHs (5.5 and 6.8) were studied. The measured responses were DFG, 3-deoxyosone, 1-deoxyosone, methylglyoxal, acetic acid, formic acid, glucose, fructose, mannose and melanoidins. For each system the model parameters, the rate constants, were estimated by non-linear regression, via multiresponse modelling. The determinant criterion was used as the statistical fit criterion. Model discrimination was performed by both chemical insight and statistical tests (Posterior Probability and Akaike criterion). Kinetic analysis showed that at lower pH DFG 1,2-enolization is favoured whereas with increasing pH 2,3-enolization becomes a more relevant degradation pathway. The lower amount observed of 1-DG is related with its high reactivity. It was shown that acetic acid, a main degradation product from DFG, was mainly formed through 1-DG degradation. Also from the estimated parameters 3-DG was found to be the main precursor in carbohydrate fragments formation, responsible for colour formation. Some indication was given that as the reaction proceeded other compounds besides DFG become reactants themselves with the formation among others of methylglyoxal. The multiresponse kinetic analysis was shown to be both helpful in deriving relevant kinetic parameters as well as in obtaining insight into the reaction mechanism. Model was intially tested in Jarnac. The model was recently updated on 9th July 2010. The reference publication has reported two models M1 and M2, where the parameter values are given for conditions A) 100oC, pH5.5, B) 120oC, pH5.5, C) 100oC, pH6.8 and D) 120oC, pH6.8. This model corresponds to the model M2 with condition 100oC, pH6.8 The model reproduces Figure 6 of the reference publication. The curation figure was recently added This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team.For more information see the terms of use.To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.

SUBMITTER: Harish Dharuri

PROVIDER: BIOMD0000000050 | BioModels | 2024-09-02

REPOSITORIES: BioModels

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	BIOMD0000000050?filename=BIOMD0000000050-biopax2.owl	Owl
	BIOMD0000000050?filename=BIOMD0000000050-biopax3.owl	Owl
	BIOMD0000000050?filename=BIOMD0000000050-matlab.m	Other
	BIOMD0000000050?filename=BIOMD0000000050-octave.m	Other
	BIOMD0000000050?filename=BIOMD0000000050.m	Other

Items per page:

1 - 5 of 17

Publications

Kinetic modelling of Amadori N-(1-deoxy-D-fructos-1-yl)-glycine degradation pathways. Part II--kinetic analysis.

Martins Sara I F S SI Van Boekel Martinus A J S MA

Carbohydrate research 20030701 16

A kinetic model for N-(1-deoxy-D-fructos-1-yl)-glycine (DFG) thermal decomposition was proposed. Two temperatures (100 and 120 degrees C) and two pHs (5.5 and 6.8) were studied. The measured responses were DFG, 3-deoxyosone, 1-deoxyosone, methylglyoxal, acetic acid, formic acid, glucose, fructose, mannose and melanoidins. For each system the model parameters, the rate constants, were estimated by non-linear regression, via multiresponse modelling. The determinant criterion was used as the statis ...[more]

PMID: 12873422

Similar Datasets

Project description:Abiotic stresses disturb and limit nitrogen-fixing symbioses between rhizobia and their host legumes. In particular, the effect of extracellular acidity on rhizobia has been taken as a model example for analysis because of the economic impact and worldwide distribution of these symbionts in agricultural countries. Except for valuable molecular-biological studies on different rhizobia, no consolidated models have been formulated to describe the central physiologic changes that occur in acid-stressed bacteria. We present here an integrated analysis entailing the main cultural, metabolic, and molecular responses of the model bacterium Sinorhizobium meliloti growing under controlled acid stress in a chemostat. A stepwise extracellular acidification of the culture medium had indicated that S. meliloti stopped growing at ca. pH 6.0â??6.1. Under such a limiting acid stress the rhizobia increased the O2 consumption per cell by more than 5-fold. This phenotype, together with an increase in the transcripts for several membrane cytochromes, entails a remarkably higher aerobic-respiration rate in acid-stressed rhizobia. Changes in the transcripts encoding enzymes for lipid biosynthesis were also observed, consistent with previous data on rhizobial pH-dependent membrane remodelling. Together with increased energy demands under acidity, proteomic and transcriptomic data revealed that while at pH 7.0 the transport and biosynthesis of cellular compounds were quite active processes, under acid stress most overexpressed markers were associated with protein biosynthesis, macromolecular degradation and/or recycling, and energy metabolism. Within this context, the pentose-phosphate pathway exhibited increases in several transcripts, enzymes, and metabolites. Moreover, multivariate analysis of global metabolome data (more than 60 compounds) served to unequivocally correlate the specific-metabolite profiles with the extracellular pH for growth, with strikingly sensitive variations being observed in the rhizobial metabolomes upon extracellular-pH changes of less than 0.5 units. Except for a ca. 120-kb DNA stretch within the pSymA no specific genomic regions were associated with the observed acid-stress responses. Further practical analyses should be focussed on the phenotypic impact and time course of the observed changes during the acid-stress perception and on the search for common responses during the previously described sublethal acid-adaptive processes in rhizobia pH 6.1 vs pH 7

Project description:A screening process was used to determine the aciduric capacities of a diverse set of Listeria monocytogenes strains and was based on the capacity to grow at pH 5.0 in the presence 4 different organic acids. Food and clinical isolates tended to be more resistant but strain genetic groupings were found to be only weakly linked to sodium diacetate (SDA)-resistance. Representative and comparatively aciduric food isolates FW04/0023 and FW04/0025 were found to accumulate reduced levels of acetate anion and K+ ion during growth in the presence of SDA, compared to more acid sensitive reference strains EGD (ATCC BAA-739) and ATCC 19111. The aciduric nature of FW04/0023 and FW04/0025 was also reflected by their comparatively high tolerance to pH 2.4 acid challenge; a property boosted by the presence of SDA, and growth-phase dependent acid tolerance. Transcriptomic analyses revealed increased levels of SDA did not activate or promulgate the response of any of the known acid protective mechanisms, except for acetoin biosynthesis. Elevated levels of unprotonated SDA (20 mM SDA at pH 5.0) was found to have broad effects on gene expression that could be differentiated from effects caused by mildly acidic conditions (pH 5.0) and substantial strain variation was also found. Collated SDA mainly effect genes associated with virulence, cell wall processes, DNA repair, and cofactor and lipid biosynthesis. Strain FW04/0025 was more responsive to elevated unprotonated SDA increasing the expression of 222 genes (>2-fold change, p<0.05), compared to 112 genes for strain EGD. Key differences between the strains in relation to SDA-enhanced transcript abundance in FW04/0023 were primarily associated with the cell wall, oxidative stress management, intermediary metabolism, and several hypothetical proteins. This complement of different responses could potentially alter phenotypes resulting in different cell envelope properties and metabolic properties that effect accumulation of acetate anion. The data demonstrates that amongst different L. monocytogenes strains acetate has differing effects that may ultimately influence growth efficiency under stressful conditions relevant to acidic foods and the gastrointestinal environment. The microarray component of the experiments had the aim of determining: i) To examine the affect of elevated levels of unprotonated sodium diacetate (21 mM sodium diacetate added to cultures at pH 5.0, resulting in ~7.7 mM unprotonated acetate) compared to mild acid stress at pH 5.0 in which lower levels of acetate accumulates through natural end-product formation. ii) To examine the gene expression responses of two L. monocytogenes strains that had different intrinsic acid resistances, including an organic acid resistant strain FW04/0025 and a more sensitive reference strain EGD on which genome the microarray oligonucleotide set is based.