PubMed

Hydroxycinnamate Amides: Intriguing Conjugates of Plant Protective Metabolites. Trends Plant Sci. 2020 Oct 06;: Authors: Zeiss DR, Piater LA, Dubery IA Abstract The syntheses of aromatic monoamines and aliphatic polyamines (PAs) are responsive to environmental stresses, with some modulating aspects of plant defense. Conjugation of amines to hydroxycinnamic acids (HCAs) generates HCA amides (HCAAs), with the conjugates possessing properties from both compounds. Conjugation may reduce the polarity of the resulting metabolite and assist in translocation, stability, and compartmentalization. Recent metabolomic insights identified HCAAs as biomarkers during plant-pathogen interactions, supporting a functional role in defense. The conjugates may contribute to regulation of the dynamic metabolic pool of hydroxycinnamates. This review highlights the occurrence of aromatic amines (AAs) and PAs in stress metabolism, conjugation to HCAs, and the roles of HCAAs during host defense, adding emphasis on their involvement in hydrogen peroxide (H2O2) production and cell-wall strengthening. PMID: 33036915 [PubMed - as supplied by publisher]

Metabolomics of the diabetic nephropathy: behind the fingerprint of development and progression indicators. Nefrologia. 2020 Oct 06;: Authors: Cordero-Pérez P, Sánchez-Martínez C, García-Hernández PA, Saucedo AL Abstract INTRODUCTION: Current diagnostic methods are not very sensitive to detect the initial stages diabetic nephropathy of type 2. In this work, a review of metabolomic approximation studies for the identification of biomarkers of this disease with potential to differentiate between early stages, evaluate and direct treatment and help slow kidney damage. METHODS: Using public (Pubmed and Google Scholar) and private (Scopus and Web of Knowledge) databases, a systematic search of the information published related to metabolomics of diabetic nephropathy in different biospecimens (urine, serum, plasma and blood) was made. Later, the MetaboAnalyst 4.0 software was used to identify the metabolic pathways associated with these metabolites. RESULTS: Groups of potential metabolites were identified for monitoring diabetic nephropathy with the available literature data. In the urine, oxide-3-hydroxyisovalerate, TMAO, aconite and citrate and hydroxypropionate derivatives are highlighted; meanwhile, in the serum: citrate, creatinine, arginine and its derivatives; and in the plasma: amino acids such as histidine, methionine and arginine has a potential contribution. Using MetaboAnalyst 4.0 the metabolic pathways related to these metabolites were related. CONCLUSIONS: The search for biomarkers to measure the progression of diabetic nephropathy, together with analytical strategies for their detection and quantification, are the starting point for designing new methods of clinical chemistry analysis. The association between the metabolic pathway dysfunction could be useful for the overall assessment of the treatment and clinical follow-up of this disease. PMID: 33036786 [PubMed - as supplied by publisher]

[Application of metabolomics in nanotoxicity]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2020 Sep 20;38(9):712-717 Authors: Zou XX, Wang HJ, Liu LH, Zhang B Abstract As an emerging material with excellent property, nanoparticle has been widely used in multiple fields such as chemical industry, textile, biomedicine, etc., which has caused widespread concern about its potential toxicity in society. Due to the limitations of traditional toxicology technology, the high-throughput methods were urgently needed to assess the potential toxicity of particles at nanoparticle size systematically. Metabolomics has been recognized as an emerging omics technology developed by multidisciplinary combination of modern analytical techniques, biochemistry and bioinformatics, which has been widely used to screened early toxicity potential markers and metabolic pathway by analyzing changes in the types and quantities of metabolites in biological samples such as cells and tissues. This article reviewed the progress and challenges of metabolomics in nanotoxicology research. PMID: 33036542 [PubMed - as supplied by publisher]

Effects of Probiotics Administration on Human Metabolic Phenotype. Metabolites. 2020 Oct 07;10(10): Authors: Ghini V, Tenori L, Pane M, Amoruso A, Marroncini G, Squarzanti DF, Azzimonti B, Rolla R, Savoia P, Tarocchi M, Galli A, Luchinat C Abstract The establishment of the beneficial interactions between the host and its microbiota is essential for the correct functioning of the organism, since microflora alterations can lead to many diseases. Probiotics improve balanced microbial communities, exerting substantial health-promoting effects. Here we monitored the molecular outcomes, obtained by gut microflora modulation through probiotic treatment, on human urine and serum metabolic profiles, with a metabolomic approach. Twenty-two subjects were enrolled in the study and administered with two different probiotic types, both singularly and in combination, for 8 weeks. Urine and serum samples were collected before and during the supplementation and were analyzed by nuclear magnetic resonance (NMR) spectroscopy and statistical analyses. After eight weeks of treatment, probiotics deeply influence the urinary metabolic profiles of the volunteers, without significantly altering their single phenotypes. Anyway, bacteria supplementation tends to reduce the differences in metabolic phenotypes among individuals. Overall, the effects are recipient-dependent, and in some individuals, robust effects are already well visible after four weeks. Modifications in metabolite levels, attributable to each type of probiotic administration, were also monitored. Metabolomic analysis of biofluids turns out to be a powerful technique to monitor the dynamic interactions between the microflora and the host, and the individual response to probiotic assumption. PMID: 33036487 [PubMed - as supplied by publisher]

An integrative Study Showing the Adaptation to Sub-Optimal Growth Conditions of Natural Populations of Arabidopsis thaliana: A Focus on Cell Wall Changes. Cells. 2020 Oct 07;9(10): Authors: Duruflé H, Ranocha P, Balliau T, Zivy M, Albenne C, Burlat V, Déjean S, Jamet E, Dunand C Abstract In the global warming context, plant adaptation occurs, but the underlying molecular mechanisms are poorly described. Studying natural variation of the model plant Arabidopsisthaliana adapted to various environments along an altitudinal gradient should contribute to the identification of new traits related to adaptation to contrasted growth conditions. The study was focused on the cell wall (CW) which plays major roles in the response to environmental changes. Rosettes and floral stems of four newly-described populations collected at different altitudinal levels in the Pyrenees Mountains were studied in laboratory conditions at two growth temperatures (22 vs. 15 °C) and compared to the well-described Col ecotype. Multi-omic analyses combining phenomics, metabolomics, CW proteomics, and transcriptomics were carried out to perform an integrative study to understand the mechanisms of plant adaptation to contrasted growth temperature. Different developmental responses of rosettes and floral stems were observed, especially at the CW level. In addition, specific population responses are shown in relation with their environment and their genetics. Candidate genes or proteins playing roles in the CW dynamics were identified and will deserve functional validation. Using a powerful framework of data integration has led to conclusions that could not have been reached using standard statistical approaches. PMID: 33036444 [PubMed - as supplied by publisher]

Fused Omics Data Models Reveal Gut Microbiome Signatures Specific of Inactive Stage of Juvenile Idiopathic Arthritis in Pediatric Patients. Microorganisms. 2020 Oct 06;8(10): Authors: Vernocchi P, Marini F, Capuani G, Tomassini A, Conta G, Del Chierico F, Malattia C, De Benedetti F, Martini A, Dallapiccola B, van Dijkhuizen EHP, Miccheli A, Putignani L Abstract Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease in children. Herein, we evaluated the relationship between the gut microbiome (GM) and disease phenotype by an integrated omics fused approach. In a multicenter, observational cohort study, stools from Italian JIA patients were collected at baseline, active, and inactive disease stages, and their GM compared to healthy controls (CTRLs). The microbiota metabolome was analyzed to detect volatile- and non-volatile organic compounds (VOCs); the data were fused with operational taxonomic units (OTUs) from 16S RNA targeted-metagenomics and classified by chemometric models. Non-VOCs did not characterize JIA patients nor JIA activity stages compared to CTRLs. The core of VOCs, (Ethanol, Methyl-isobutyl-ketone, 2,6-Dimethyl-4-heptanone and Phenol) characterized patients at baseline and inactive disease stages, while the OTUs represented by Ruminococcaceae, Lachnospiraceae and Clostridiacea discriminated between JIA inactive stage and CTRLs. No differences were highlighted amongst JIA activity stages. Finally, the fused data discriminated inactive and baseline stages versus CTRLs, based on the contribution of the invariant core of VOCs while Ruminococcaceae concurred for the inactive stage versus CTRLs comparison. In conclusion, the GM signatures enabled to distinguish the inactive disease stage from CTRLs. PMID: 33036309 [PubMed - as supplied by publisher]

16 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/10PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

16 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/10PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

20 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/09PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

20 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/09PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

32 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/08PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

32 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/08PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

20 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/07PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

30 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/10/06PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Comprehensive polyphenolic profiling in promising resistant grapevine hybrids including seventeen novel breeds in Northern Italy. J Sci Food Agric. 2020 Oct 04;: Authors: Gratl V, Sturm S, Zini E, Letschka T, Stefanini M, Vezzulli S, Stuppner H Abstract BACKGROUND: A promising way to overcome the susceptibility of Vitis vinifera L. against fungal diseases is the integration of genetic resistance by the interspecific crossing between V. vinifera varieties and resistant species. However, products of such hybrids are still missing acceptance by customers particularly due to their organoleptic characteristics, not least influenced by their polyphenolic profile. RESULTS: Fifty-eight resistant breeding lines, forty-one from international programs and seventeen new progeny individuals, were grown in one untreated vineyard to exclude any variances by climatic and pedologic conditions or vine yarding practice. Sixty polyphenols, including acids, anthocyanins, flavonols, flavan-3-ols and stilbenoids, were determined in grapevine berries by Ultra High-Performance Liquid Chromatography - Mass Spectrometry (UHPLC-MS/MS) in two consecutive years. The overall profiles were rather consistent (variation p>0.05) within the two harvests, with exception of epicatechin and caftaric acid. Anthocyanin-diglucosides were found in ten of the red breeding lines, malvidin-3,5-O-diglucoside being predominant in nine of them. Total polyphenol content was comparable of the unknown progeny individuals and international breeding lines with exception of significantly increased amounts of gallic acid and some flavonoids. CONCLUSION: The hereby reported comprehensive study of the polyphenolic profile of hybrids from international breeding programs but also of new breeds from private initiatives, all cultivated in the same vineyard, shall support the selection of promising candidates for further breeding programs to overcome the impairment due to undesired sensory characteristics of new highly resistant varieties. This article is protected by copyright. All rights reserved. PMID: 33011987 [PubMed - as supplied by publisher]

Actaea racemosa L. extract inhibits steroid sulfation in human breast cancer cells: Effects on androgen formation. Phytomedicine. 2020 Sep 25;79:153357 Authors: Poschner S, Wackerlig J, Dobusch D, Pachmann B, Banh SJ, Thalhammer T, Jäger W Abstract BACKGROUND: Actaea racemosa L., also known as black cohosh, is a popular herb commonly used for the treatment of menopausal symptoms. Because of its purported estrogenic activity, black cohosh root extract (BCE) may trigger breast cancer growth. STUDY DESIGN/METHODS: The potential effects of standardized BCE and its main constituent actein on cellular growth rates and steroid hormone metabolism were investigated in estrogen receptor alpha positive (ERα+) MCF-7 and -negative (ERα-) MDA-MB-231 human breast cancer cells. Cell numbers were determined following incubation of both cell lines with the steroid hormone precursors dehydroepiandrosterone (DHEA) and estrone (E1) for 48 h, in the presence and absence of BCE or actein. Using a validated liquid chromatography-high resolution mass spectrometry assay, cell culture supernatants were simultaneously analyzed for the ten main steroids of the estrogen pathway. RESULTS: Inhibition of MCF-7 and MDA-MB-231 cell growth (up to 36.9%) was observed following treatment with BCE (1-25 µg/ml) or actein (1-50 µM). Incubation of MCF-7, but not of MDA-MB-231 cells, with DHEA and BCE caused a 20.9% reduction in DHEA-3-O-sulfate (DHEA-S) formation, leading to a concomitant increase in the androgens 4-androstene-3,17-dione (AD) and testosterone (T). Actein was shown to exert an even stronger inhibitory effect on DHEA-S formation in MCF-7 cells (up to 89.6%) and consequently resulted in 12- to 15-fold higher androgen levels compared with BCE. The formation of 17β-estradiol (E2) and its glucuronidated and sulfated metabolites was not affected by BCE or actein after incubation with the estrogen precursor estrone (E1) in either cell line. CONCLUSIONS: The results of the present study demonstrated that actein and BCE do not promote breast cancer cell growth or influence estrogen levels. However, androgen formation was strongly stimulated by BCE and actein, which may contribute to their ameliorating effects on menopausal symptoms in women. Future studies monitoring the levels of AD and T upon BCE supplementation of patients are warranted to verify an association between BCE and endogenous androgen metabolism. PMID: 33011631 [PubMed - as supplied by publisher]

Metabolomic profiling of aqueous humor from glaucoma patients - The metabolomics in surgical ophthalmological patients (MISO) study. Exp Eye Res. 2020 Oct 01;:108268 Authors: Breda JB, Sava AC, Himmelreich U, Somers A, Matthys C, Sousa AR, Vandewalle E, Stalmans I Abstract Glaucoma is still a poorly understood disease with a clear need for new biomarkers to help in diagnosis and potentially offer new therapeutic targets. We aimed to determine if the metabolic profile of aqueous humor (AH) as determined by nuclear magnetic resonance (NMR) spectroscopy allows the distinction between primary open-angle glaucoma patients and control subjects, and to distinguish between high-tension (POAG) and normal-tension glaucoma (NTG). We analysed the AH of patients with POAG, NTG and control subjects (n = 30/group). 1H NMR spectra were acquired using a 400 MHz spectrometer. Principle component analysis (PCA), machine learning algorithms and descriptive statistics were applied to analyse the metabolic variance between groups, identify the spectral regions, and hereby potential metabolites that can act as biomarkers for glaucoma. According to PCA, fourteen regions of the NMR spectra were significant in explaining the metabolic variance between the glaucoma and control groups, with no differences found between POAG and NTG groups. These regions were further used in building a classifier for separating glaucoma from control patients, which achieved an AUC of 0.93. Peak integration was performed on these regions and a statistical analysis, after false discovery rate correction and adjustment for the different perioperative topical drug regimen, revealed that five of them were significantly different between groups. The glaucoma group showed a higher content in regions typical for betaine and taurine, possibly linked to neuroprotective mechanisms, and also a higher content in regions that are typical for glutamate, which can indicate damaged neurons and oxidative stress. These results show how aqueous humor metabolomics based on NMR spectroscopy can distinguish glaucoma patients from controls with a high accuracy. Further studies are needed to validate these results in order to incorporate them in clinical practice. PMID: 33011236 [PubMed - as supplied by publisher]

Validation of plasma metabolites associated with breast cancer risk among Mexican Americans. Cancer Epidemiol. 2020 Sep 30;69:101826 Authors: Zhao H, Shen J, Ye Y, Wu X, Esteva FJ, Tripathy D, Chow WH Abstract In our previous breast cancer case control study in Hispanics, we found 14 metabolites whose levels differed between cases and controls. To validate the results, we carried out a nested case control study of 100 incident breast cancer and 100 matched healthy women identified from the Mano-A-Mano Mexican American Cohort study. With the adjustment of parity, education, birth place, language acculturation, BMI category, smoking, drinking, physical activity, and sitting time, 4 metabolites were associated with breast cancer risk: 3-hydroxyoctanoate (Odds ratio (OR) = 1.51, 95% confidence interval (CI): 1.10, 3.47), 3-hydroxybutyrate (BHBA) (OR = 1.42, 95%CI: 1.01, 3.72), linoleate (18:2n6) (OR = 1.39, 95% CI: 1.07, 4.04), and bilirubin (OR = 0.54, 95%CI: 0.42, 0.95). Then, we used 3 non-redundant metabolites, namely 3-hydroxyoctanoate, linoleate (18:2n6), and bilirubin, to generate a metabolic risk score. Increased metabolites risk score was associated with a 1.67-fold increased risk of breast cancer (OR = 1.67, 95%CI: 1.32, 3.94). And the significant association was more evident among those who were diagnosed with cancer earlier during the follow-up (≤ 5 years) than their counterparts. In conclusion, we identified four significant metabolites which may help elucidate metabolic pathways that contribute to breast carcinogenesis. Our findings warrant further replication efforts. PMID: 33010726 [PubMed - as supplied by publisher]

Characterisation of Thai strawberry (Fragaria × ananassa Duch.) cultivars with RAPD markers and metabolite profiling techniques. Phytochemistry. 2020 Sep 30;180:112522 Authors: Sirijan M, Drapal M, Chaiprasart P, Fraser PD Abstract Strawberries (Fragaria × ananassa Duch.) are one of the most economically important fruit crops worldwide, several commercially viable cultivars are cultivated in the northern region of Thailand. The morphological characters at the young vegetative seedling stage can be very similar, which has hindered breeding efforts. The present study assesses the ability of random amplification of polymorphic DNA (RAPD) markers and metabolomics techniques to distinguish six strawberry cultivars. Both techniques showed congruent results for the leaf tissue and classified the cultivars into three major clusters. For the most different cultivars, Akihime and Praratchatan No.80, fruits were analysed at eight fruit ripening stages. The data highlighted a broad biological variation at the early ripening stages and less biological variation at the mature stages. Key metabolic differences included the polyphenol profile in Praratchatan No.80 and fatty acid synthesis/oxidation in Akihime. In summary, the RAPD and metabolite data can be used to distinguish strawberry cultivars and elucidate the metabolite composition of each phenotype. This approach to the characterisation of genotypes will benefit future breeding programmes. PMID: 33010537 [PubMed - as supplied by publisher]

Absence of R-Ras1 and R-Ras2 causes mitochondrial alterations that trigger axonal degeneration in a hypomyelinating disease model. Glia. 2020 Oct 03;: Authors: Alcover-Sanchez B, Garcia-Martin G, Escudero-Ramirez J, Gonzalez-Riano C, Lorenzo P, Gimenez-Cassina A, Formentini L, de la Villa-Polo P, Pereira MP, Wandosell F, Cubelos B Abstract Fast synaptic transmission in vertebrates is critically dependent on myelin for insulation and metabolic support. Myelin is produced by oligodendrocytes (OLs) that maintain multilayered membrane compartments that wrap around axonal fibers. Alterations in myelination can therefore lead to severe pathologies such as multiple sclerosis. Given that hypomyelination disorders have complex etiologies, reproducing clinical symptoms of myelin diseases from a neurological perspective in animal models has been difficult. We recently reported that R-Ras1-/- and/or R-Ras2-/- mice, which lack GTPases essential for OL survival and differentiation processes, present different degrees of hypomyelination in the central nervous system with a compounded hypomyelination in double knockout (DKO) mice. Here, we discovered that the loss of R-Ras1 and/or R-Ras2 function is associated with aberrant myelinated axons with increased numbers of mitochondria, and a disrupted mitochondrial respiration that leads to increased reactive oxygen species levels. Consequently, aberrant myelinated axons are thinner with cytoskeletal phosphorylation patterns typical of axonal degeneration processes, characteristic of myelin diseases. Although we observed different levels of hypomyelination in a single mutant mouse, the combined loss of function in DKO mice lead to a compromised axonal integrity, triggering the loss of visual function. Our findings demonstrate that the loss of R-Ras function reproduces several characteristics of hypomyelinating diseases, and we therefore propose that R-Ras1-/- and R-Ras2-/- neurological models are valuable approaches for the study of these myelin pathologies. PMID: 33010069 [PubMed - as supplied by publisher]