Category: 87-73-0

Surrati, Amal; Evseev, Sergey; Jourdan, Fabien; Kim, Dong-Hyun; Sottile, Virginie published the artcile< Osteogenic response of human mesenchymal stem cells analysed using combined intracellular and extracellular metabolomic monitoring>, Electric Literature of 87-73-0, the main research area is metabolite osteogenesis mesenchymal stem cell; Mesenchymal stem cells; Osteogenesis; Differentiation; Metabolomics; LC-MS; Metabolomics profiling.

The skeleton is a metabolically active organ undergoing continuous remodelling initiated by mesenchymal progenitors present in bone and bone marrow. Under certain pathol. conditions this remodelling balance shifts towards increased resorption resulting in weaker bone microarchitecture, and there is consequently a therapeutic need to identify pathways that could inversely enhance bone formation from stem cells. Metabolomics approaches recently applied to stem cell characterization could help identify new biochem. markers involved in osteogenic differentiation. Combined intra- and extracellular metabolite profiling was performed by liquid chromatog.-mass spectrometry (LC-MS) on human mesenchymal stem cells (MSCs) undergoing osteogenic differentiation in vitro. Using a combination of univariate and multivariate analyses, changes in metabolite and nutrient concentration were monitored in cultures under osteogenic treatment over 10 days. A subset of differentially detected compounds was identified in differentiating cells, suggesting a direct link to metabolic processes involved in osteogenic response. These results highlight new metabolite candidates as potential biomarkers to monitor stem cell differentiation towards the bone lineage.

Cellular Physiology & Biochemistry published new progress about Biomarkers. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Electric Literature of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Yue, Le; Feng, Yan; Ma, Chuanxin; Wang, Chuanxi; Chen, Feiran; Cao, Xuesong; Wang, Jing; White, Jason C.; Wang, Zhenyu; Xing, Baoshan published the artcile< Molecular Mechanisms of Early Flowering in Tomatoes Induced by Manganese Ferrite (MnFe2O4) Nanomaterials>, Electric Literature of 87-73-0, the main research area is Solanum manganese ferrite amendment nanomaterial photosynthesis photosynthate flowering meristem; MnFe2O4 nanomaterials; early flowering; enhanced quality; increased yield; molecular mechanism; tomato.

Nanomaterials (NMs) have demonstrated enormous potential to improve agricultural production Ten mg L-1 of customized manganese ferrite (MnFe2O4) NMs was selected as the optimal dose based on its outstanding effects on promoting tomato flowering and production After the foliar application before flowering, MnFe2O4 NMs increased the leaf chlorophyll content by 20 percent, and significantly upregulated the expressions of ferredoxin, PsaA, and PsbA in leaves, likely by serving as an electron donor, leading to a significant increase in photosynthesis efficiency by 13.3%. Long distance transport of sucrose was then confirmed by the upregulation of sucrose transporter SUT1 and SUT2 in NM-treated leaves and meristems. The genes associated with gibberellin biosynthesis, including GA20ox2, GA20ox3, and SIGAST, and a flowering induction gene SFT, were also significantly upregulated. Importantly, the flowering time was 13 days earlier by MnFe2O4 NMs over the control. At the reproductive stage, MnFe2O4 NMs increased pollen activity and ovule size, leading to the significant increase in fruit number per plant, single fruit weight, and fruit weight per plant by 50%, 30%, and 75%, resp. Metabolically, a significant increase of glucose-6-phosphate, phenylalanine, rutin, and ascorbic acid (vitamin C), as well as a significant decrease of tomatine and methionine, demonstrates an increased nutritional value of the tomato fruits. A verified companion field experiment showed an increase of 84.1% in total tomato production with the MnFe2O4 NM amendment. These findings provide support for the early flowering and yield improvement in nano-enabled agricultural systems.

ACS Nano published new progress about Absorption. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Electric Literature of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Hashemi, Seirana; Razaghi-Moghadam, Zahra; Nikoloski, Zoran published the artcile< Identification of flux trade-offs in metabolic networks>, Recommanded Product: D-Glucosaccharic acid, the main research area is Arabidopsis thaliana flux trade metabolic network.

Trade-offs are inherent to biochem. networks governing diverse cellular functions, from gene expression to metabolism Yet, trade-offs between fluxes of biochem. reactions in a metabolic network have not been formally studied. Here, we introduce the concept of absolute flux trade-offs and devise a constraint-based approach, termed FluTO, to identify and enumerate flux trade-offs in a given genome-scale metabolic network. By employing the metabolic networks of Escherichia coli and Saccharomyces cerevisiae, we demonstrate that the flux trade-offs are specific to carbon sources provided but that reactions involved in the cofactor and prosthetic group biosynthesis are present in trade-offs across all carbon sources supporting growth. We also show that absolute flux trade-offs depend on the biomass reaction used to model the growth of Arabidopsis thaliana under different carbon and nitrogen conditions. The identified flux trade-offs reflect the tight coupling between nitrogen, carbon, and sulfur metabolisms in leaves of C3 plants. Altogether, FluTO provides the means to explore the space of alternative metabolic routes reflecting the constraints imposed by inherent flux trade-offs in large-scale metabolic networks.

Scientific Reports published new progress about Arabidopsis thaliana. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Recommanded Product: D-Glucosaccharic acid.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Ceballos, Francisco C.; Virseda-Berdices, Ana; Resino, Salvador; Ryan, Pablo; Martinez-Gonzalez, Oscar; Perez-Garcia, Felipe; Martin-Vicente, Maria; Brochado-Kith, Oscar; Blancas, Rafael; Bartolome-Sanchez, Sofia; Vidal-Alcantara, Erick Joan; Alboniga-Diez, Oihane Elena; Cuadros-Gonzalez, Juan; Blanca-Lopez, Natalia; Martinez, Isidoro; Martinez-Acitores, Ignacio Ramirez; Barbas, Coral; Fernandez-Rodriguez, Amanda; Jimenez-Sousa, Maria Angeles published the artcile< Metabolic profiling at COVID-19 onset shows disease severity and sex-specific dysregulation>, Formula: C6H10O8, the main research area is metabolic profiling COVID 19 disease severity sex specific dysregulation; COVID-19; Spanish hospitals; disease onset; metabolomics; severity; sex-specific.

Metabolic changes through SARS-CoV-2 infection has been reported but not fully comprehended. This metabolic dysregulation affects multiple organs during COVID-19 and its early detection can be used as a prognosis marker of severity. Therefore, we aimed to characterize metabolic and cytokine profile at COVID-19 onset and its relationship with disease severity to identify metabolic profiles predicting disease progression. We performed a retrospective cross-sectional study in 123 COVID-19 patients which were stratified as asymptomatic/mild, moderate and severe according to the highest COVID-19 severity status, and a group of healthy controls. We performed an untargeted plasma metabolic profiling (gas chromatog. and capillary electrophoresis-mass spectrometry (GC and CE-MS)) and cytokine evaluation. After data filtering and identification we observed 105 metabolites dysregulated (66 GC-MS and 40 CE-MS) which shown different expression patterns for each COVID-19 severity status. These metabolites belonged to different metabolic pathways including amino acid, energy, and nitrogen metabolism among others. Severity-specific metabolic dysregulation was observed, as an increased transformation of L-tryptophan into L-kynurenine. Thus, metabolic profiling at hospital admission differentiate between severe and moderate patients in the later phase of worse evolution. Several plasma pro-inflammatory biomarkers showed significant correlation with deregulated metabolites, specially with L-kynurenine and L-tryptophan. Finally, we describe a strong sex-related dysregulation of metabolites, cytokines and chemokines between severe and moderate patients. In conclusion, metabolic profiling of COVID-19 patients at disease onset is a powerful tool to unravel the SARS-CoV-2 mol. pathogenesis. This technique makes it possible to identify metabolic phenoconversion that predicts disease progression and explains the pronounced pathogenesis differences between sexes.

Frontiers in Immunology published new progress about COVID-19. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Formula: C6H10O8.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Bueno Duarte, Gustavo Henrique; de Piloto Fernandes, Anna Maria Alves; Silva, Alex Aparecido Rosini; Zamora-Obando, Hans R.; Amaral, Alan Goncalves; de Sousa Mesquita, Alessandra; Schmidt-Filho, Jayr; Cordeiro de Lima, Vladmir C.; D’Almeida Costa, Felipe; Andrade, Victor Piana; Porcari, Andreia M.; Eberlin, Marcos Nogueira; Simionato, Ana Valeria Colnaghi published the artcile< Gas chromatography-mass spectrometry untargeted profiling of non-Hodgkin's lymphoma urinary metabolite markers>, Formula: C6H10O8, the main research area is gas chromatog mass spectrometry non Hodgkin lymphoma metabolomic biomarker; Biomarkers; Gas chromatography-mass spectrometry; Metabolomics; Non-Hodgkin’s lymphoma.

Abstract: Non-Hodgkin’s lymphoma (NHL) is a cancer of the lymphatic system where the lymphoid and hematopoietic tissues are infiltrated by malignant neoplasms of B, T, and natural killer lymphocytes. Effective and less invasive methods for NHL screening are urgently needed. Herein, we report an untargeted gas chromatog.-mass spectrometry (GC-MS) method to investigate metabolic changes in non-volatile derivatized compounds from urine samples of NHL patients (N = 15) and compare them to healthy controls (N = 34). Uni- and multivariate data anal. showed 18 endogenous metabolites, including amino acids and their metabolites, sugars, small organic acids, and vitamins, as statistically significant for group differentiation. A receiver operating characteristic curve (ROC) generated from a support vector machine (SVM) algorithm-based model achieved 0.998 of predictive accuracy, displaying the potential and relevance of GC-MS-detected urinary non-volatile compounds for predictive purposes. Furthermore, a specific panel of key metabolites was also evaluated, showing similar results. All in all, our results indicate that this robust GC-MS method is an effective screening tool for NHL diagnosis and it is able to highlight different pathways of the disease.

Analytical and Bioanalytical Chemistry published new progress about Cancer diagnosis. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Formula: C6H10O8.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Armstrong, R. D.; Hirayama, J.; Knight, D. W.; Hutchings, G. J. published the artcile< Quantitative Determination of Pt- Catalyzed D-Glucose Oxidation Products Using 2D NMR>, Safety of D-Glucosaccharic acid, the main research area is platinum catalyzed glucose oxidation 2D NMR.

Quant. correlative 1H-13C NMR has long been discussed as a potential method for quantifying the components of complex reaction mixtures Here, we show that quant. HMBC NMR can be applied to understand the complexity of the catalytic oxidation of glucose to glucaric acid, which is a promising bio-derived precursor to adipic acid, under aqueous aerobic conditions. It is shown through 2D NMR anal. that the product streams of this increasingly studied reaction contain lactone and dilactone derivatives of acid products, including glucaric acid, which are not observable/quantifiable using traditional chromatog. techniques. At 98% glucose conversion, total C6 lactone yield reaches 44%. Furthermore, a study of catalyst stability shows that all Pt catalysts undergo product-mediated chem. leaching. Through catalyst development studies, it is shown that sequestration of leached Pt can be achieved through use of carbon supports.

ACS Catalysis published new progress about Catalyst supports. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Safety of D-Glucosaccharic acid.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Zeng, Huawei; Umar, Shahid; Liu, Zhenhua; Bukowski, Michael R. published the artcile< Azoxymethane Alters the Plasma Metabolome to a Greater Extent in Mice Fed a High-Fat Diet Compared to an AIN-93 Diet>, Application of C6H10O8, the main research area is azoxymethane plasma metabolome dihydrocholesterol cholesterol; aberrant crypt foci; azoxymethane; colon cancer; high-fat diet; inflammation; metabolome; obesity.

Consumption of a high-fat diet (HFD) links obesity to colon cancer in humans. Our data show that a HFD (45% energy fat vs. 16% energy fat in an AIN-93 diet (AIN)) promotes azoxymethane (AOM)-induced colonic aberrant crypt foci (ACF) formation in a mouse cancer model. However, the underlying metabolic basis remains to be determined In the present study, we hypothesize that AOM treatment results in different plasma metabolomic responses in diet-induced obese mice. An untargeted metabolomic anal. was performed on the plasma samples by gas chromatog. time-of-flight mass spectrometry (GC-TOF-MS). We found that 53 of 144 identified metabolites were different between the 4 groups of mice (AIN, AIN + AOM, HFD, HFD + AOM), and sparse partial least-squares discriminant anal. showed a separation between the HFD and HFD + AOM groups but not the AIN and AIN + AOM groups. Moreover, the concentrations of dihydrocholesterol and cholesterol were inversely associated with AOM-induced colonic ACF formation. Functional pathway analyses indicated that diets and AOM-induced colonic ACF modulated five metabolic pathways. Collectively, in addition to differential plasma metabolomic responses, AOM treatment decreases dihydrocholesterol and cholesterol levels and alters the composition of plasma metabolome to a greater extent in mice fed a HFD compared to the AIN.

Metabolites published new progress about Aberrant crypt foci. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application of C6H10O8.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Paschalidis, Leandros; Beer, Barbara; Sutiono, Samuel; Sieber, Volker; Burger, Jakob published the artcile< Design of enzymatic cascade reactors through multi-objective dynamic optimization>, Name: D-Glucosaccharic acid, the main research area is enzymic cascade reactor multiobjective dynamic optimization.

Multi-enzymic cascade reactions have gathered a lot of interest lately because of their potential for sustainable production of chems. In this paper, model-based, multi-objective, dynamic optimization is applied to the design of an enzymic cascade reactor that produces α-ketoglutarate. Pareto-optimal process schedules, which are best compromises between space-time yield, enzyme consumption and cofactor consumption, are determined and visualized. Depending on the importance of the individual objectives, the optimal process schedules vary. It is demonstrated, that multi-objective optimization is a valuable tool for the development of enzymic cascades. It provides decision support for making further experiments, finding bottlenecks in the cascade, and choosing an optimal process schedule for the production

Biochemical Engineering Journal published new progress about Biochemical cofactors Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Name: D-Glucosaccharic acid.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Scelfo, Simone; Geobaldo, Francesco; Pirone, Raffaele; Russo, Nunzio published the artcile< Catalytic wet air oxidation of D-glucose by perovskite type oxides (Fe, Co, Mn) for the synthesis of value-added chemicals>, Electric Literature of 87-73-0, the main research area is glucose wet air oxidation organic acid perovskite oxide catalyst; CWAO; Lactic acid; Levulinic acid; Perovskites; d-glucose; d-saccharic acid.

The conversion of common biomasses derived, as D-glucose, into value-added chems. has received highest attention in the last few years. Among all processes, the catalytic wet air oxidation (CWAO) of derived biomasses using noble metal-based heterogeneous catalytic systems has been investigated. Nevertheless, the redox effect of such catalysts on such bio-compounds has still to be investigated in detail. In the present work, the activity for the conversion of D-glucose into C6 aldaric acid, lactic acid and levulinic acid of some perovskite type oxides (LaBO3; B: Fe, Co, Mn) characterized by noticeable catalytic properties and stability under hydrothermal conditions, have been investigated. The influence of the reaction temperature and the effect of the catalytic properties on the distribution of the liquid products have been studied. In the best conditions, 50.3 mol.% and 69.5 mol.% of lactic and levulinic acid have been obtained by using LaCoO3 and LaMnO3, resp. Apart from the oxidative effect, the affinity hydrogen allowed the catalytic conversion of some key intermediates, such as pyruvic aldehyde and hydroxymethylfurfural, into the desired products. LaMnO3, which has resulted to be the most oxidizable/reducible catalyst at low temperatures, has shown the best catalytic activity among the studied catalysts, promoting the conversion of hydroxymethylfurfural to levulinic acid and giving overall the highest yield.

Carbohydrate Research published new progress about Biomass. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Electric Literature of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Amrina, Rosyada Amran; Furusawa, Go; Lau, Nyok-Sean published the artcile< Saccharobesus litoralis gen. nov., sp. nov., a novel alginate-degrading bacterium isolated from the surface of intertidal algal turf>, HPLC of Formula: 87-73-0, the main research area is Saccharobesus alginate degrading bacterium phospholipid glycolipid fatty acid; Alteromonadaceae; agar degradation; alginate.

A novel rod-shaped, Gram-stain-neg., strictly aerobic and alginate-degrading marine bacterium, designated CCB-QB4T, was isolated from a surface of algal turf collected from a coastal area of Penang, Malaysia. The cells showed motility by a lateral flagellum. The rod-shaped cells formed long chains end-to- end. Phylogenetic anal. based on the 16S rRNA gene sequence of strain CCB-QB4T showed 94.07, 92.69, 91.52 and 90.90% sequence similarity to Algibacillus agarilyticus RQJ05T, Catenovulum maritimum Q1T, Catenovulum agarivorans YM01T and Catenovulum sediminis D2T, resp. Strain CCB-QB4T formed a cluster with A. agarilyticus RQJ05T. Strain CCB-QB4T was catalase-neg., oxidase-pos., and degraded agar, alginate, and starch. Cell growth was observed at 15-40°C, at pH 7.0-10.0 and in the presence of 1-6% (w/v) NaCl and glucose. The major fatty acids were summed feature 3 (C16:1 ω7c/iso-C15:0 2-OH), C16:0 and C18:1 ω7c. The polar lipids were phosphatidylethanolamine, two unidentified aminolipids, two unidentified glycolipids, an unidentified phospholipid and unidentified lipid. The major respiratory quinone was ubiquinone-8. The genomic DNA G+C content was 46.7 mol%. Based on the phenotypic, chemotaxonomic and phylogenetic data, strain CCB-BQ4T represents a novel species in a new genus, for which the name Saccharobesus litoralis gen. nov., sp. nov. is proposed. The type strain is CCB-QB4T (=JCM 33513T=-MBL 5008T).

International Journal of Systematic and Evolutionary Microbiology published new progress about Algibacillus agarilyticus. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, HPLC of Formula: 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts