Category: 87-73-0

Cai, Zhiquan; Xie, Tao; Xu, Jin published the artcile< Source-sink manipulations differentially affect carbon and nitrogen dynamics, fruit metabolites and yield of Sacha Inchi plants>, Electric Literature of 87-73-0, the main research area is carbon source sink manipulation defoliation seed yield fruit Plukenetia; Fruitlet metabolites; Growth; Physiological traits; Plukenetia volubilis; Reproductive trait; Source–sink regulations.

Being a promising tropical woody oilseed crop, the evergreen and recurrent plants of Sacha Inchi (Plukenetia volubilis L.) has complex phenol. and source-sink interactions. Carbon source-sink manipulations with control and two treatments (reduce source, ca. 10% mature leaf pruning; reduce sink, 10% fruitlet thinning) were conducted on 2.5-yr-old field-grown P. volubilis plantation during the early-wet season in a seasonal tropical area. Leaf photosynthetic rate and specific leaf area largely remained unchanged in response to defoliation or defloration. Compared with control, higher N contents on average were observed in both remaining leaves and branches of the defoliated plants, suggesting that N-mobilization was mainly due to the enhanced N uptake from soil. Carbon, but not N, is a source-driven growth process of P. volubilis plants, as defoliation reduced the contents of non-structural carbohydrates (especially sugar) in branches, although temporally, whereas defloration increased available C reserve. The seasonal dynamic pattern of fruit ripening was altered by source-sink regulations. Total seed yield throughout the growing season, which depends on fruit set and retention (i.e., number of matured fruit) rather than individual fruit development (size), was slightly increased by defloration but was significantly decreased by defoliation. Compared with control, defloration did not enrich the KEGG pathway, but defoliation downregulated the TCA cycle and carbohydrate and lipid metabolisms in fruitlets after 24 days of the applications of source-sink manipulation. Carbohydrate reserves serve to buffer sink-source imbalances that may result from temporary adjustment in demand for assimilates (e.g., defloration) or shortfalls in carbon assimilation (e.g., defoliation). Defoliation is disadvantageous for the yield and also for carbohydrate and lipid accumulation in fruits of P. volubilis plants. Although more studies are needed, these results provide new insights to the further improvement in seed yield of the strong source-limited P. volubilis plants by source/sink manipulations.

BMC Plant Biology published new progress about Bioaccumulation. 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

Haykal, Tony; Younes, Maria; El Khoury, Marianne; Ammoury, Carl; Tannous, Stephanie; Hodroj, Mohammad H.; Sarkis, Rita; Gasilova, Natalia; Menin, Laure; Rizk, Sandra published the artcile< The pro-apoptotic properties of a phytonutrient rich infusion of A. cherimola leaf extract on AML cells>, COA of Formula: C6H10O8, the main research area is Annona cherimola leaf extract proapoptotic phytonutrient acute myeloid leukemia; Acute Myeloid Leukemia; Annona cherimola tea infusion; Anti-oxidant; Apoptosis; Phytochemicals.

Annonaceae family has broad uses in herbal medicine for treatment of several diseases, whether through seeds′ or leaves′ extracts The present study investigates the antiproliferative and antitumor activity of Annona cherimola aqueous leaf (AAL) extract/infusion in acute myeloid leukemia (AML) cell lines in vitro. High-resolution LC-MS was first used to analyze the composition of the aqueous extract Cell proliferation assay, Annexin V staining, cell cycle anal., dual Annexin V/PI staining, cell death quantification by ELISA, ROS level detection and Western Blotting were then performed to elucidate the therapeutic effects of AAL extract The results obtained revealed a potent antioxidant activity of AAL extract Moreover, the extract exhibited dose- and time-dependent antiproliferative effects on AML cell lines by decreasing cell viability with an IC50 of 5.03% (volume/volume) at 24 h of treatment of KG-1 cells. This decrease in viability was accompanied with a significant increase in apoptotic cell death with cell cycle arrest and flipping of the phosphatidylserine from the inner to the outer leaflet of the cell membrane. The resp. overexpression and downregulation of proapoptotic proteins like cleaved caspase-8, cleaved PARP-1 and Bax and antiapoptotic proteins like Bcl-2 further validated the apoptotic pathway induced by AAL on AML cells. Finally, LC-MS revealed the presence of several compounds like fatty acids, terpenes, phenolics, cinnamic acids and flavonoids that could contribute to the antioxidant and anti-cancer effects of this herbal infusion. In addition to the generally known nutritional effects of the Annona cherimola fruit and leaves, the presented data validates the antioxidant and anti-cancerous effects of the leaf infusion on AML cell lines, proposing its potential therapeutic use against acute myeloid leukemia with future in vivo and clin. trials.

Biomedicine & Pharmacotherapy published new progress about Acute myeloid leukemia (cell lines). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, COA of Formula: C6H10O8.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Erban, Alexander; Fehrle, Ines; Martinez-Seidel, Federico; Brigante, Federico; Mas, Agustin Lucini; Baroni, Veronica; Wunderlin, Daniel; Kopka, Joachim published the artcile< Discovery of food identity markers by metabolomics and machine learning technology>, Electric Literature of 87-73-0, the main research area is Salvia Linum Sesamum food processing marker metabolomics.

Verification of food authenticity establishes consumer trust in food ingredients and components of processed food. Next to genetic or protein markers, chems. are unique identifiers of food components. Non-targeted metabolomics is ideally suited to screen food markers when coupled to efficient data anal. This study explored feasibility of random forest (RF) machine learning, specifically its inherent feature extraction for non-targeted metabolic marker discovery. The distinction of chia, linseed, and sesame that have gained attention as “”superfoods”” served as test case. Chem. fractions of non-processed seeds and of wheat cookies with seed ingredients were profiled. RF technol. classified original seeds unambiguously but appeared overdesigned for material with unique secondary metabolites, like sesamol or rosmarinic acid in the Lamiaceae, chia. Most unique metabolites were diluted or lost during cookie production but RF technol. classified the presence of the seed ingredients in cookies with 6.7% overall error and revealed food processing markers, like 4-hydroxybenzaldehyde for chia and succinic acid monomethylester for linseed additions RF based feature extraction was adequate for difficult classifications but marker selection should not be without human supervision. Combination with alternative data anal. technologies is advised and further testing of a wide range of seeds and food processing methods.

Scientific Reports published new progress about Flax. 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

Cai, Zhiquan; Xie, Tao; Xu, Jin published the artcile< Source-sink manipulations differentially affect carbon and nitrogen dynamics, fruit metabolites and yield of Sacha Inchi plants>, Electric Literature of 87-73-0, the main research area is carbon source sink manipulation defoliation seed yield fruit Plukenetia; Fruitlet metabolites; Growth; Physiological traits; Plukenetia volubilis; Reproductive trait; Source–sink regulations.

Being a promising tropical woody oilseed crop, the evergreen and recurrent plants of Sacha Inchi (Plukenetia volubilis L.) has complex phenol. and source-sink interactions. Carbon source-sink manipulations with control and two treatments (reduce source, ca. 10% mature leaf pruning; reduce sink, 10% fruitlet thinning) were conducted on 2.5-yr-old field-grown P. volubilis plantation during the early-wet season in a seasonal tropical area. Leaf photosynthetic rate and specific leaf area largely remained unchanged in response to defoliation or defloration. Compared with control, higher N contents on average were observed in both remaining leaves and branches of the defoliated plants, suggesting that N-mobilization was mainly due to the enhanced N uptake from soil. Carbon, but not N, is a source-driven growth process of P. volubilis plants, as defoliation reduced the contents of non-structural carbohydrates (especially sugar) in branches, although temporally, whereas defloration increased available C reserve. The seasonal dynamic pattern of fruit ripening was altered by source-sink regulations. Total seed yield throughout the growing season, which depends on fruit set and retention (i.e., number of matured fruit) rather than individual fruit development (size), was slightly increased by defloration but was significantly decreased by defoliation. Compared with control, defloration did not enrich the KEGG pathway, but defoliation downregulated the TCA cycle and carbohydrate and lipid metabolisms in fruitlets after 24 days of the applications of source-sink manipulation. Carbohydrate reserves serve to buffer sink-source imbalances that may result from temporary adjustment in demand for assimilates (e.g., defloration) or shortfalls in carbon assimilation (e.g., defoliation). Defoliation is disadvantageous for the yield and also for carbohydrate and lipid accumulation in fruits of P. volubilis plants. Although more studies are needed, these results provide new insights to the further improvement in seed yield of the strong source-limited P. volubilis plants by source/sink manipulations.

BMC Plant Biology published new progress about Bioaccumulation. 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

Huang, Kang; Wang, Yuegang; Bai, Yang; Luo, Qiuyan; Lin, xuancai; Yang, Qiuyu; Wang, Shihao; Xin, hongjie published the artcile< Gut microbiota and metabolites in atrial fibrillation patients and their changes after catheter ablation>, Category: alcohols-buliding-blocks, the main research area is microbiota metabolite catheter ablation human atrial fibrillation; atrial fibrillation; gut metabolites; gut microbiota.

The gut microbiota has been shown to be associated with multiple cardiovascular diseases, but there is little research on the gut microbiota and atrial fibrillation (AF); thus, how the gut microbiota and metabolites change in AF patients after catheter ablation is unclear. In this study, we used 16S rRNA high-throughput sequencing and nontargeted metabolomic detection to conduct horizontal and longitudinal analyses of the gut microbiota and metabolites of AF patients. Compared with a control group, species richness and diversity increased significantly in AF patients. Among them, opportunistic pathogenic bacteria, such as Klebsiella, Haemophilus,Streptococcus, and Enterococcus, were significantly increased, and symbiotic bacteria, such as Agathobacter and Butyrivibrio, were significantly reduced. After catheter ablation, intestinal symbiotic bacteria (Lactobacillus, Agathobacter, Lachnospira, etc.) were increased in most AF patients, while pathogenic bacteria (Ruminococcus, etc.) were reduced. Moreover, in AF patients, caffeine, which was neg. correlated with Klebsiella, was downregulated, and estradiol and ascorbic acid, which were pos. correlated with Agathobacter, were also downregulated. After catheter ablation, citrulline, which was pos. correlated with Ralstonia and Lactobacillus, was increased. Oleanolic acid, which was neg. correlated with Ralstonia was downregulated. In conclusion, our results not only show overall changes in the gut microbiota and metabolites in AF patients but also indicate their changes in the short term after catheter ablation. These data will provide novel possibilities for the future clin. diagnosis and treatment of AF.

Microbiology Spectrum published new progress about Ablation (catheter). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Category: alcohols-buliding-blocks.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Ivanovic, Stefan; Mandrone, Manuela; Simic, Katarina; Ristic, Mirjana; Todosijevic, Marina; Mandic, Boris; Godevac, Dejan published the artcile< GC-MS-based metabolomics for the detection of adulteration in oregano samples>, Computed Properties of 87-73-0, the main research area is GCMS metabolomic detection adulteration oregano sample.

Oregano is one of the most used culinary herb and it is often adulterated with cheaper plants. In this study, GC-MS was used for identification and quantification of metabolites from 104 samples of oregano (Origanum vul-gare and O. onites) adulterated with olive (Olea europaea), venetian sumac (Cotinus coggygria) and myrtle (Myrtus communis) leaves, at five different concentration levels. The metabolomics profiles obtained after the two-step derivatization, involving methoxyamination and silanization, were subjected to multivariate data anal. to reveal markers of adulteration and to build the regression models on the basis of the oregano-to-adulterants mixing ratio. Orthogonal partial least squares enabled detection of oregano adulterations with olive, Venetian sumac and myrtle leaves. Sorbitol levels distinguished oregano samples adulterated with olive leaves, while shikimic and quinic acids were recognized as discrimination factor for adulteration of oregano with venetian sumac. Fructose and quinic acid levels correlated with oregano adulteration with myrtle. Orthogonal partial least squares discriminant anal. enabled dis-crimination of O. vulgare and O. onites samples, where catechollactate was found to be discriminating metabolite.

Journal of the Serbian Chemical Society published new progress about Adulterants. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Computed Properties of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Yongpisanphop, J. published the artcile< Searching for a plant species having a potent bioherbicide using in silico approach>, SDS of cas: 87-73-0, the main research area is Medicago bioherbicide L2 Aminoadipate aldisine weed control.

Toxic herbicide residue in the environment is one of the most important problems in the world, especially in the agricultural country. To solve this problem, an effectively new bioherbicide needs to be discovered urgently. This motivated to search the novel bioherbicide. In silico technique has been accepted as a promising tool to discover new active compounds Based on 2D structural similarity, 18 new natural compounds were obtained from the KNApSAcK database. Among the structural leads, 12 natural phyto-compounds were selected to calculate the lowest free energy of binding value using mol. docking. Comp_7 and Comp_10 showed the lowest free energy of binding -7.84 and -7.43 kcal/mol resp. which were similar to glyphosate (-8.49 kcal/mol). Based on the binding interaction using ProteinsPlus program, a natural phyto-compound (Comp_7: L-2-Aminoadipate) was identified as a potential bioherbicide. It could be found in Medicago sativa L. Significantly, this procedure becomes a high powerful tool to increase the probability to discover the new potent bioherbicide and identify the plant host species for weed control. Moreover, M. sativa should be extracted to test the property of weed control for further study.

Research Journal of Chemistry and Environment published new progress about Alfalfa. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, SDS of cas: 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Li, Guilin; Zhao, Hang; Guo, Dezheng; Liu, Zhenguo; Wang, Hongfang; Sun, Qinghua; Liu, Qingxin; Xu, Baohua; Guo, Xingqi published the artcile< Distinct molecular impact patterns of abamectin on Apis mellifera ligustica and Apis cerana cerana>, Name: D-Glucosaccharic acid, the main research area is abamectin mortality metabolism Apis; Abamectin; Bees; Comparison analysis; Molecular effects; Mortality rate; Multiomics.

The effects of insecticides on bee health are a topic of intensive research. Although abamectin is toxic to bees, the mol. impact of abamectin needs to be clarified. Here, we found that Apis cerana cerana exhibited a higher mortality rate when exposed to abamectin than Apis mellifera ligustica. In addition, A. cerana cerana had markedly higher numbers of differentially expressed genes (DEGs), differentially expressed proteins (DEPs) and differentially expressed metabolites (DEMs) than A. mellifera ligustica during exposure to abamectin. These results indicate that abamectin exposure exerts stronger effects on A. cerana cerana than on A. mellifera ligustica. In addition, six DEGs, two DEPs and two DEMs overlapped between the two bee species under abamectin exposure; however, some genes or proteins from the zinc finger protein, superoxide dismutase and peroxiredoxin families and the energy metabolism pathway were only unregulated in A. cerana cerana, which indicates a significant difference in the impact of abamectin on the two bee species. Despite these differences, several of the same gene families, such as heat shock proteins, cytochrome P 450, odorant-binding proteins and cuticle proteins, and pathways, including the carbohydrate metabolism, immune system, lipid metabolism, amino acid metabolism, sensory system, locomotion and development pathways, were influenced by abamectin exposure in both A. cerana cerana and A. mellifera ligustica. Together, our results indicate that abamectin causes adverse effects on bees and thus poses a risk to bee populations and that abamectin exposure affects A. cerana cerana more strongly than A. mellifera ligustica. These findings improve our understanding of the behavioral and physiol. effects of abamectin on bees.

Ecotoxicology and Environmental Safety published new progress about Amino acid metabolism disorders. 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

Zhang, Yuandi; Xu, Jingguo; Ding, Fang; Deng, Wanyu; Wang, Xi; Xue, Yansong; Chen, Xiaoxue; Han, Bei-Zhong published the artcile< Multidimensional profiling indicates the shifts and functionality of wheat-origin microbiota during high-temperature Daqu incubation>, HPLC of Formula: 87-73-0, the main research area is multidimensional profiling wheat microbiota high temperature Daqu incubation; Daqu; Incubation; Microbiota; Non-VOCs; VOCs; Wheat.

Wheat-origin microbiota is a critical factor in the assembly of the microbial community during high-temperature Daqu incubation. However, the succession and functional mechanisms of these microbial communities in Daqu are still unclear. This study investigated the shifts in microbiota diversity from the wheat to the end of incubation by the third generation Pacific Biosciences (PacBio) single-mol., real-time (SMRT) sequencing technol. Results indicated that Staphylococcus, Pantoea, Alternaria, and Mycosphaerella were the dominant genera of wheat-origin microbiota while Bacillus and Thermoascus were the most predominant bacterial and fungal genera of Daqu microbiota, resp. Metabolite detection revealed that volatile organic compounds (VOCs) changed obviously in different incubation stages and the 7th day to the 15th day of incubation was the critical period for the formation of VOCs. The content of non-VOCs, especially sugars, increased steeply in the first four days of incubation. The network anal. between microbes and metabolites showed that Thermoactinomyces and Staphylococcus had opposite correlations with most non-VOCs. Alternaria and Mycosphaerella had strong pos. correlations with fructose. As key functional fungal genera in wheat-origin microbiota, Mycosphaerella, Aspergillus, and Alternaria participated in multiple metabolic pathways (gluconeogenesis I, sucrose degradation III, pentose phosphate pathway, 5-aminoimidazole ribonucleotide biosynthesis I, Me ketone biosynthesis, and GDP-mannose biosynthesis) at the early stage of incubation, which played an important role in the formation of flavors and succession of microbiota. This work highlighted the shifts and functionality of wheat-origin microbiota in Daqu incubation, which can be a guideline to stabilize Daqu quality by wheat-origin microbiota control.

Food Research International published new progress about Alcoholic beverages (Daqu). 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

Liu, Yinglong; Hou, Wenpeng; Jin, Jie; Christensen, Michael J.; Gu, Lijun; Cheng, Chen; Wang, Jianfeng published the artcile< Epichloe gansuensis increases the tolerance of Achnatherum inebrians to low-p stress by modulating amino acids metabolism and phosphorus utilization efficiency>, Formula: C6H10O8, the main research area is Epichloe Achnatherum growth phosphorus amino acid; Epichloë gansuensis; grass; low P stress; metabolomics.

In the long-term evolutionary process, Achnatherum inebrians and seed-borne endophytic fungi, Epichloe gansuensis, formed a mutually beneficial symbiosis relationship, and Epichloe gansuensis has an important biol. role in improving the tolerance of host grasses to abiotic stress. In this work, we first assessed the effects of Epichloe gansuensis on dry weight, the content of C, N, P and metal ions, and metabolic pathway of amino acids, and phosphorus utilization efficiency (PUE) of Achnatherum inebrians at low P stress. Our results showed that the dry weights, the content of alanine, arginine, aspartic acid, glycine, glutamine, glutamic acid, L-asparagine, lysine, phenylalanine, proline, serine, threonine, and tryptophan were higher in leaves of Epichloe gansuensis-infected (E+) Achnatherum inebrians than Epichloe gansuensis-uninfected (E-) Achnatherum inebrians at low P stress. Further, Epichloe gansuensis increased C content of roots compared to the root of E- plant at 0.01 mM P and 0.5 mM P; Epichloe gansuensis increased K content of leaves compared to the leaf of E- plant at 0.01 mM P and 0.5 mM P. Epichloe gansuensis reduced Ca content of roots compared to the root of E- plant at 0.01 mM P and 0.5 mM P; Epichloe gansuensis reduced the content of Mg and Fe in leaves compared to the leaf of E- plant at 0.01 mM P and 0.5 mM P. In addition, at low P stress, Epichloe gansuensis most probably influenced aspartate and glutamate metabolism; valine, leucine, and isoleucine biosynthesis in leaves; and arginine and proline metabolism; alanine, aspartate, and glutamate metabolism in roots. Epichloe gansuensis also affected the content of organic acid and stress-related metabolites at low P stress. In conclusion, Epichloe gansuensis improves Achnatherum inebrians growth at low P stress by regulating the metabolic pathway of amino acids, amino acids content, organic acid content, and increasing PUE.

Journal of Fungi published new progress about Achnatherum inebrians. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Formula: C6H10O8.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts