PubMed
Exploration of chemical markers using a metabolomics strategy and machine learning to study the different origins of Ixeris denticulata (Houtt.) Stebb.
Exploration of chemical markers using a metabolomics strategy and machine learning to study the different origins of Ixeris denticulata (Houtt.) Stebb.
Food Chem. 2020 Jun 04;330:127232
Authors: Li Y, Wang X, Li C, Huang W, Gu K, Wang Y, Yang B, Li Y
Abstract
As a generally edible plant, Ixeris denticulata (Houtt.) Stebb is widely distributed in China. Its medicinal value has attracted much attention in recent years. However, the chemical markers that cause quality and taste differences in I. denticulata from different regions are currently unclear. In this study, samples from 8 different origins were collected and analysed by UPLC-Q-TOF/MS. A metabolomics data processing strategy and machine learning method were established to explore the reasons for the difference in quality and taste of different origins from the perspective of chemical composition. With the established strategy, 10 characteristic chemical markers were identified that could be used to distinguish the origins of I. denticulata. The strategy proposed in this study could provide a certain basis for quality control and reasonable consumption of I. denticulata and additional food and medicinal homologous species.
PMID: 32535318 [PubMed - as supplied by publisher]
Metabotyping of different soybean genotypes and distinct metabolism in their seeds and leaves.
Metabotyping of different soybean genotypes and distinct metabolism in their seeds and leaves.
Food Chem. 2020 Jun 04;330:127198
Authors: Yun DY, Kang YG, Kim M, Kim D, Kim EH, Hong YS
Abstract
The metabolome of three soybean genotypes, Glycine max Hwangkeum (elite or domesticated cultivar), Glycine max Napjakong (landrace or semi-wild cultivar) and Glycine soja Dolkong (wild cultivar), were characterized in seeds and leaves using a 1H NMR-based metabolomics approach. Expression of primary and secondary metabolites were different in seeds and leaves as well as amongst soybean genotypes. Different kaempferol glycosides were observed in the leaves but not in the seeds, and quercetin derivatives were found only in G. max Napjakong and G. soja Dolkong. Moreover, epicatechin was found only in the seeds of G. max Napjakong and G. soja Dolkong. These results demonstrate distinct adaptations of different soybean genotypes to given environmental conditions. The current study, therefore, provides useful information on global metabolic compositions that might be used to develop soybean-based products through better understanding of the metabolic phenotypes of existing soybean genotypes.
PMID: 32535313 [PubMed - as supplied by publisher]
`Untargeted metabolomics study and pro-apoptotic properties of B-norcholesteryl benzimidazole compounds in ovarian cancer SKOV3 cells.
`Untargeted metabolomics study and pro-apoptotic properties of B-norcholesteryl benzimidazole compounds in ovarian cancer SKOV3 cells.
J Steroid Biochem Mol Biol. 2020 Jun 11;:105709
Authors: Gan C, Huang X, Wu Y, Zhan J, Zhang X, Liu Q, Huang Y
Abstract
The current study aims to evaluate the antiproliferative activity of B-norcholesteryl benzimidazole compounds in human ovarian cancer cells (SKOV3). Our experimental data indicates that the tested compounds can induce apoptosis in SKOV3 cells, block S-phase growth, and decrease mitochondrial membrane potential. Western blot results showed that B-norcholesteryl benzimidazole compounds (1 and 2) induced apoptosis in SKOV3 cells via activation of the mitochondrial signaling pathway. Following SKOV3 cells treatment with compounds 1 and 2, the cell metabolism was assessed using the UHPLC-QE-MS (Ultra High Performance Liquid Chromatography-Q Exactive Orbitrap- Mass Spectrometry) non-target metabolomics analysis method. The results showed 10 metabolic pathways that mediated the effects of compound 1, including arginine and proline metabolism; alanine, aspartate, and glutamate metabolism; histidine metabolism; D-glutamine and D-glutamate metabolism; cysteine and methionine metabolism; aminoacyl-tRNA biosynthesis; purine metabolism; Glutathione metabolism; D-Arginine and D-ornithine metabolism; and Nitrogen metabolism. From the perspective of metabolomics, compound 1 inhibits intracellular metabolism, protein synthesis, and slows down energy metabolism in SKOV3 cells. These changes result in the inhibition of proliferation and signal transduction, abrogate invasive and metastatic properties, and induce apoptosis, thus, exerting anti-tumor effects. Application of compound 2 altered activation of metabolic pathways in SKOV3 cells. The main metabolic pathways involved were glycerophospholipid metabolism; arginine and proline metabolism; purine metabolism; glycine, serine, and threonine metabolism; and ether lipid metabolism. The metabolic pathway with the greatest impact and the deepest enrichment was the glycerophospholipid metabolism. In conclusion, compound 2 inhibits proliferation of SKOV3 cells by interfering with glycerate metabolism, which plays a major role in regulation of cell membrane structure and function. Additionally, compound 2 can inhibit the invasion and metastasis of SKOV3 cells and induce apoptosis via interfering with the metabolism of arginine and proline.
PMID: 32535031 [PubMed - as supplied by publisher]
Possible metabolic switch between environmental and pathogenic Pseudomonas aeruginosa strains: 1H NMR based metabolomics study.
Possible metabolic switch between environmental and pathogenic Pseudomonas aeruginosa strains: 1H NMR based metabolomics study.
J Pharm Biomed Anal. 2020 May 25;188:113369
Authors: Mielko KA, Jabłoński SJ, Wojtowicz W, Milczewska J, Sands D, Łukaszewicz M, Młynarz P
Abstract
The study aimed to assess whether Pseudomonas aeruginosa strains from different sources can be distinguished by the metabolomic fingerprint and to check whether antibiotic susceptibility distinctions are available through metabolomic analysis. 1H NMR spectroscopy analysis of the bacteria metabolites was performed. Twenty-nine strains were tested (18 isolated form cystic fibrosis patients and 11 environmental). Thirty-one metabolites were identified, 12 were up-regulated in strains from CF patients, while 2 were higher level in strains from the environment. Changed carbohydrate catabolic metabolism and the metabolic shift toward the utilization of amino acids is suggested in strains from CF patients.
PMID: 32534405 [PubMed - as supplied by publisher]
TiO2 nanoparticles induced sugar impairments and metabolic pathway shift towards amino acid metabolism in wheat.
TiO2 nanoparticles induced sugar impairments and metabolic pathway shift towards amino acid metabolism in wheat.
J Hazard Mater. 2020 May 28;399:122982
Authors: Silva S, Ribeiro TP, Santos C, Pinto DCGA, Silva AMS
Abstract
TiO2-nanoparticles (TiO2-NP) have the potential to impair plant development. Nevertheless, the metabolic processes behind the physiological responses to TiO2-NP are still far from being fully understood. In this study, Triticum aestivum plants were exposed for 21 days to different concentrations (0; 5; 50; 150 mg L-1) of TiO2-NP (P25). After treatment, the metabolite profiles of roots and leaves were analysed. The content of >70 % of the identified metabolites changed in response to P25 and the impact on metabolic pathways increased with TiO2-NP dose, with leaves showing higher alterations. Roots up-regulated monosaccharides, azelaic acid, and γ-aminobutanoic acid and triggered the tyrosine metabolism, whereas leaves up-regulated the metabolisms of reserve sugars and tocopherol, and the phenylalanine and tryptophan pathways. Both organs (mainly leaves) up-regulated the aspartate family pathway together with serine, alanine and valine metabolisms and the glycerolipids' biosynthesis. In addition, the citrate and glyoxylate metabolisms were down-regulated in both organs (highest dose). Sugar biosynthesis breakdown, due to photosynthetic disturbances, shifted the cell metabolism to use amino acids as an alternative energy source, and both ROS and sugars worked as signalling molecules activating organ dependent antioxidant responses. Concluding, these NP-pollutants severely impact multiple crop metabolic pathways and may ultimately compromise plant performance.
PMID: 32534391 [PubMed - as supplied by publisher]
A UPLC-Q-TOF/MS-based plasma metabolomics approach reveals the mechanism of Compound Kushen Injection-based intervention against non-small cell lung cancer in Lewis tumor-bearing mice.
A UPLC-Q-TOF/MS-based plasma metabolomics approach reveals the mechanism of Compound Kushen Injection-based intervention against non-small cell lung cancer in Lewis tumor-bearing mice.
Phytomedicine. 2020 Jun 02;76:153259
Authors: Wu H, Wang L, Zhan X, Wang B, Wu J, Zhou A
Abstract
BACKGROUND: Compound Kushen Injection (CKI), a well-known Chinese Medicine preparation, has been used to treat non-small cell lung cancer (NSCLC) for more than 15 years, and its clinical curative effect is considered to be beneficial.
HYPOTHESIS/PURPOSE: This study was designed to evaluate the effects and underlying mechanisms of CKI against NSCLC using an ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS)-based plasma metabolomics approach.
METHODS: 4',6-diamidino-2-phenylindole (DAPI) staining and 3-(4,5-dimethyl-thiazol-2-yl)-2,5-diphenyl-tetrazolium bromide (MTT) dye reduction assay were employed to assess apoptosis and the viability of A549 cells with and without CKI treatment. The weight/volume of Lewis lung carcinoma (LLC) sarcomas and histopathological examinations were used to evaluate the anti-tumor effects of CKI against NSCLC. A UPLC-Q-TOF/MS method combined with multivariate data analysis was developed to characterize metabolomic fingerprinting and to screen functional biomarkers that are linked to the CKI treatment of LLC mice, and then metabolic pathway analysis was used to investigate the therapeutic mechanism of CKI.
RESULTS: DAPI staining and MTT dye reduction assays indicated that CKI-induced apoptosis and inhibited the proliferation of A549 cells, respectively, in a concentration-dependent manner. The sarcoma volumes and weights in LLC tumor-bearing mice in CKI-dosed groups were significantly lower than those in a model group, which was treated with physiological saline. Histopathological analysis of sections of sarcomas and left pulmonary lobes indicated that CKI exerts an ameliorative effect against LLC. Fourteen functional biomarkers that are related to the therapeutic effects of CKI on LLC were screened and identified using a metabolomics study. Analysis of metabolic pathways revealed that the therapeutic effects of CKI on LLC mainly involved glycerophospholipid metabolism, amino acid metabolism and sphingolipid metabolism. As glycerophospholipid metabolism is a crucial feature of cancer-specific metabolism, the enzymes that are involved in 1-acyl-sn-glycero-3-phosphoinositol biosynthesis were further evaluated. Western blotting results indicated that CKI modulated the abnormal biosynthesis pathway of 1-acyl-sn-glycero-3-phosphoinositol by activation of cytidine diphosphate-diacylglycerol-inositol 3-phosphatidyltransferase (CDIPT) and cytosolic phospholipase A2 (cPLA2), and by inhibition of lysophosphatidic acid acyltransferase gamma (AGPAT3).
CONCLUSION: This study demonstrated that CKI has a favorable anti-tumor effect and that a UPLC-Q-TOF/MS-based metabolomics method in conjunction with further verifications at the biochemical level is a promising approach for investigating its underlying mechanisms.
PMID: 32534358 [PubMed - as supplied by publisher]
Anoectochilus roxburghii polysaccharide prevents carbon tetrachloride-induced liver injury in mice by metabolomic analysis.
Anoectochilus roxburghii polysaccharide prevents carbon tetrachloride-induced liver injury in mice by metabolomic analysis.
J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Jun 02;1152:122202
Authors: Zeng B, Su M, Chen Q, Chang Q, Wang W, Li H
Abstract
Anoectochilus roxburghii (Wall.) Lindl, a traditional Chinese medicine, is used for the effective treatment of liver disease in China. Anoectochilus roxburghii polysaccharide (ARPT) is an important constituent of Anoectochilus roxburghii. ARPT exerts a hepatoprotective effect and contributes directly to the therapeutic benefit of Anoectochilus roxburghii. However, the hepatoprotective mechanism of ARPT requires further elucidation. The present study was designed to assess the effects and underlying mechanism of ARPT when used to pretreat carbon tetrachloride (CCl4)-induced liver injury in mice. Mice were randomly divided into three groups: control group (no ARPT treatment or liver injury), model group (liver injury induced with CCl4), and the ARPT group (ARPT pretreatment followed by liver injury). A metabolomic method, based on liquid chromatography combined with mass spectrometry (LC-MS) and pattern recognition analysis, was applied. The data were analyzed with principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA), to determine differentiating metabolites in the serum and liver tissue between the experimental groups. The PCA and OPLS-DA scores plots of the serum and liver tissue samples based on the LC-MS data showed a clear separation between the control and liver injury model group, while the ARPT-treated group showed a trend of close with the control. There were eleven metabolites [PS(O-18:0/0:0), phosphocholine, phenylalanine, hippuric acid, α-ketoisovaleric acid, metyrosine, leucinic acid, ketoleucine, Cer(d18:1/19:0), α-kamlolenic acid, and 4-formyl indole] were identified as candidate biomarkers in the serum samples, eight such metabolites (valine, phosphohydroxypyruvic acid, phosphocholine, ornithine, indole, xanthine, uridine, and glucose 6-phosphate) were found in the liver tissue samples, and one metabolite (phosphocholine) was observed in both the serum and liver tissue samples. These endogenous metabolites are considered to be in response to the hepatoprotective effects of ARPT and are involved in amino acid metabolism, lipid metabolism, gut bacteria metabolism, energy metabolism, and the methylation pathway. These findings suggest that ARPT mitigates the metabolic effect of CCl4-induced hepatotoxicity in mice by affecting at least five different pathways. LC-MS-based metabolomics provides a powerful approach for identifying potential biomarkers and for elucidating the protective mechanisms of traditional Chinese medicines against disease.
PMID: 32534261 [PubMed - as supplied by publisher]
GC-MS based comparative metabolomic analysis of MCF-7 and MDA-MB-231 cancer cells treated with Tamoxifen and/or Paclitaxel.
GC-MS based comparative metabolomic analysis of MCF-7 and MDA-MB-231 cancer cells treated with Tamoxifen and/or Paclitaxel.
J Proteomics. 2020 Jun 10;:103875
Authors: Semreen MH, Alniss H, Cacciatore S, El-Awady R, Mousa M, Almehdi AM, El-Huneidi W, Zerbini L, Soares NC
Abstract
Breast cancer cells MCF-7 and MDA-MB-231 were treated with Tamoxifen (5 μM) or Paclitaxel (1 μM) or with a combination of the two drugs. Herein, we have employed gas chromatography coupled with mass spectroscopy to identify metabolic changes occurring as response to different drug treatments. We report the identification of sixty-one metabolites and overall the two studied cell lines showed a distinct metabolomic profile from each other. Further data analysis indicates that a total of 30 metabolites were significantly differentially abundant in MCF-7 drug-treated cells, most of the metabolic changes occurred when cells were treated with either Tamoxifen (15) or Paclitaxel (25). On the other side, a total of 31 metabolites were significantly differentially abundant in MDA-MB-31 cells with drug treatment. Similarly, to MCF-7 most of the metabolic changes occurred when cells were treated with either Tamoxifen (19) or Paclitaxel (20). In conclusion, this report demonstrates that Tamoxifen and/or Paclitaxel treatment have a pronounced effect on the main metabolic pathways in both breast cancer (BC) cell lines (MCF-7 and MDA-MB231), which could be used as a foundation for future investigations to understand the possible effect of these drugs on different metabolic pathways. SIGNIFICANCE: Metabolic profiling of cancer cells is a promising tool in tumor diagnosis, biomarker discovery and drug treatment protocols, since cancer cells exhibit altered metabolism when compared to normal cells. Although numerous studies have reported the use of various OMICs applications to investigate breast cancer cells, very few of these have performed thorough screening of metabolites in such cells. Our investigation highlights the first study to characterize MCF7 and MDA-MB-231 cancer cells treated with Tamoxifen and/or Paclitaxel and to identify the affected metabolic pathways. Such findings might play an important role in revealing the molecular bases of the underlying mechanism of action of these two frontline anti-breast cancer drugs.
PMID: 32534214 [PubMed - as supplied by publisher]
Effect of traditional Chinese medicine formula GeGen decoction on primary dysmenorrhea: A randomized controlled trial study.
Effect of traditional Chinese medicine formula GeGen decoction on primary dysmenorrhea: A randomized controlled trial study.
J Ethnopharmacol. 2020 Jun 10;:113053
Authors: Chai C, Hong F, Yan Y, Yang L, Zong H, Wang C, Liu Z, Yu B
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE: GeGen Decoction, a well-known Chinese herbal formula, is widely used in China and other Asian countries to treat gynecological diseases, including primary dysmenorrhea. Pharmacological studies have confirmed that GeGen Decoction is able to inhibit spasmodic contractions of the uterus in vivo and in vitro.
AIM OF THE STUDY: The objective of this study is to examine the efficacy and safety of GeGen Decoction on primary dysmenorrheic patients.
METHODS: This was a randomized, double-blinded, placebo-controlled trial. GeGen Decoction or placebo was administered a week before the expected start of each cycle for three consecutive menstrual periods. Between-group differences in pain intensity were detected by visual analogue scale (VAS). In addition, serum levels of arginine vasopressin (AVP) and estrogen (E) were examined by enzyme-linked immunosorbent assay. Metabolomic analysis was further used to evaluate the influence of GeGen Decoction on the metabolomics of primary dysmenorrheic patients.
RESULTS: A total of 71 primary dysmenorrheic women were recruited and 30 participants met the criteria were randomized into GeGen Decoction or placebo group. After three consecutive menstrual cycles' treatment, the VAS score of the GeGen Decoction group was significantly lower than that of the placebo group. Both serum levels of AVP and E decreased after GeGen Decoction administration, while the placebo seemed to have little effect on either of the index. Moreover, after GeGen Decoction treatment, seven important metabolites were identified by metabolomic analysis compared to the placebo group. No abnormalities in blood biochemical and routine physical examination pre and post GeGen Decoction intervention were observed.
CONCLUSIONS: GeGen Decoction can remarkably relieve the severity of menstrual pain without obvious adverse effects. Its therapeutic effect on primary dysmenorrhea might be related to the regulation of pituitary hypothalamic ovarian hormones, and interfering with the metabolic change.
PMID: 32534120 [PubMed - as supplied by publisher]
Metabolomic study of disease progression in scrapie prion infected mice; validation of a novel method for brain metabolite extraction.
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Metabolomic study of disease progression in scrapie prion infected mice; validation of a novel method for brain metabolite extraction.
Metabolomics. 2020 Jun 12;16(6):72
Authors: Fu ZL, Mercier P, Eskandari-Sedighi G, Yang J, Westaway D, Sykes BD
Abstract
INTRODUCTION: Prion disease is a form of neurodegenerative disease caused by the misfolding and aggregation of cellular prion protein (PrPC). The neurotoxicity of the misfolded form of prion protein, PrPSc still remains understudied. Here we try to investigate this issue using a metabolomics approach.
OBJECTIVES: The intention was to identify and quantify the small-in-size and water-soluble metabolites extracted from mice brains infected with the Rocky Mountain Laboratory isolate of mouse-adapted scrapie prions (RML) and track changes in these metabolites during disease evolution.
METHODS: A total of 73 mice were inoculated with RML prions or normal brain homogenate control; brains were harvested at 30, 60, 90, 120 and 150 days post-inoculation (dpi). We devised a high-efficiency metabolite extraction method and used nuclear magnetic resonance spectroscopy to identify and quantify 50 metabolites in the brain extracts. Data were analyzed using multivariate approach.
RESULTS: Brain metabolome profiles of RML infected animals displayed continuous changes throughout the course of disease. Among the analyzed metabolites, the most noteworthy changes included increases in myo-inositol and glutamine as well as decreases in 4-aminobutyrate, acetate, aspartate and taurine.
CONCLUSION: We report a novel metabolite extraction method for lipid-rich tissue. As all the major metabolites are identifiable and quantifiable by magnetic resonance spectroscopy, this study suggests that tracking of neurochemical profiles could be effective in monitoring the progression of neurodegenerative diseases and useful for assessing the efficacy of candidate therapeutics.
PMID: 32533504 [PubMed - as supplied by publisher]
Metabolic reprogramming related to whole-chromosome instability in models for Hürthle cell carcinoma.
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Metabolic reprogramming related to whole-chromosome instability in models for Hürthle cell carcinoma.
Sci Rep. 2020 Jun 12;10(1):9578
Authors: Addie RD, Kostidis S, Corver WE, Oosting J, Aminzadeh-Gohari S, Feichtinger RG, Kofler B, Aydemirli MD, Giera M, Morreau H
Abstract
Hürthle cell carcinoma (HCC) is a recurrent subtype of non-medullary thyroid cancer. HCC is characterized by profound whole-chromosome instability (w-CIN), resulting in a near-homozygous genome (NHG), a phenomenon recently attributed to reactive oxygen species (ROS) generated during mitosis by malfunctioning mitochondria. We studied shared metabolic traits during standard and glucose-depleted cell culture in thyroid cancer cell lines (TCCLs), with or without a NHG, using quantitative analysis of extra and intracellular metabolites and ROS production following inhibition of complex III with antimycin A. We found that the XTC.UC1 and FTC-236 cell lines (both NHG) are functionally impaired in complex I and produce significantly more superoxide radicals than SW579 and BHP 2-7 (non-NHG) after challenge with antimycin A. FTC-236 showed the lowest levels of glutathione and SOD2. XTC.UC1 and FTC-236 both exhibited reduced glycolytic activity and utilization of alternative sources to meet energy demands. Both cell lines also shared low levels of α-ketoglutarate and high levels of creatine, phosphocreatine, uridine diphosphate-N-acetylglucosamine, pyruvate and acetylcarnitine. Furthermore, the metabolism of XTC.UC1 was skewed towards the de novo synthesis of aspartate, an effect that persisted even in glucose-free media, pointing to reductive carboxylation. Our data suggests that metabolic reprogramming and a subtle balance between ROS generation and scavenging/conversion of intermediates may be involved in ROS-induced w-CIN in HCC and possibly also in rare cases of follicular thyroid cancer showing a NHG.
PMID: 32533088 [PubMed - as supplied by publisher]
The zoonotic pathogen Leptospira interrogans mitigates environmental stress through cyclic-di-GMP-controlled biofilm production.
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The zoonotic pathogen Leptospira interrogans mitigates environmental stress through cyclic-di-GMP-controlled biofilm production.
NPJ Biofilms Microbiomes. 2020 Jun 12;6(1):24
Authors: Thibeaux R, Soupé-Gilbert ME, Kainiu M, Girault D, Bierque E, Fernandes J, Bähre H, Douyère A, Eskenazi N, Vinh J, Picardeau M, Goarant C
Abstract
The zoonotic bacterium Leptospira interrogans is the aetiological agent of leptospirosis, a re-emerging infectious disease that is a growing public health concern. Most human cases of leptospirosis result from environmental infection. Biofilm formation and its contribution to the persistence of virulent leptospires in the environment or in the host have scarcely been addressed. Here, we examined spatial and time-domain changes in biofilm production by L. interrogans. Our observations showed that biofilm formation in L. interrogans is a highly dynamic process and leads to a polarized architecture. We notably found that the biofilm matrix is composed of extracellular DNA, which enhances the biofilm's cohesiveness. By studying L. interrogans mutants with defective diguanylate cyclase and phosphodiesterase genes, we show that biofilm production is regulated by intracellular levels of bis-(3'-5')-cyclic dimeric guanosine monophosphate (c-di-GMP) and underpins the bacterium's ability to withstand a wide variety of simulated environmental stresses. Our present results show how the c-di-GMP pathway regulates biofilm formation by L. interrogans, provide insights into the environmental persistence of L. interrogans and, more generally, highlight leptospirosis as an environment-borne threat to human health.
PMID: 32532998 [PubMed - as supplied by publisher]
metabolomics; +26 new citations
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metabolomics
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metabolomics; +30 new citations
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 2020/06/12PubMed 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.
metabolomics; +24 new citations
24 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 2020/06/11PubMed 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.
metabolomics; +17 new citations
17 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 2020/06/10PubMed 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.
metabolomics; +43 new citations
43 new pubmed citations were retrieved for your search.
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metabolomics
These pubmed results were generated on 2020/06/09PubMed 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.
Plasma metabolomic profiles associated with infant food allergy with further consideration of other early life factors.
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Plasma metabolomic profiles associated with infant food allergy with further consideration of other early life factors.
Prostaglandins Leukot Essent Fatty Acids. 2020 May 25;159:102099
Authors: Ellul S, Marx W, Collier F, Saffery R, Tang M, Burgner D, Carlin J, Vuillermin P, Ponsonby AL, Barwon Infant Study Investigator Group
Abstract
BACKGROUND: Fatty acids have been implicated in early life immune development. Food allergy provides a clear phenotype of early allergic disease. Fish oil and vitamin D have immune-modulating properties. We aimed to identify the metabolomic profile of (i) infant food allergy and (ii) factors linked to food allergy in past studies such as fish oil supplementation and serum 25OHD3 levels in early life.
METHODS: NMR was used to quantify 73 metabolites in plasma of 1 year old infants from the Barwon Infant Study (n=485). Logistic regression models were used to examine associations between infant metabolome and food allergy in infants. Linear regression models were used to describe associations between maternal fish oil supplementation and 25OHD3 levels with infant metabolites.
RESULTS: A higher linoleic acid: total fatty acid (FA) ratio and phenylalanine level were associated with higher odds of food allergy. Antenatal fish oil supplementation was positively associated with docosahexaenoic acid (DHA) and omega-3 related metabolite levels. Postnatal 25OHD3 levels at 1 year of age were positively associated with several FA measures and creatinine and inversely with the saturated FA: total FA ratio. Only the postnatal 25OHD3 patterns persisted after adjustment for multiple comparisons.
CONCLUSIONS: Infants with food allergy had altered fatty acid profiles at one year. Fish oil supplementation in pregnancy was associated with higher DHA and omega-3 related metabolites at 1 year of age. Associations were modest and the most robustly altered metabolomic profiles were with postnatal 25OHD3 levels.
PMID: 32505120 [PubMed - as supplied by publisher]
Virgin olive oil metabolomics: A review.
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Virgin olive oil metabolomics: A review.
J Chromatogr B Analyt Technol Biomed Life Sci. 2020 May 21;1150:122161
Authors: Lioupi A, Nenadis N, Theodoridis G
Abstract
Metabolomics involvement in the study of foods is steadily growing. Such a rise is a consequence of the increasing demand in the food sector to address challenges regarding the issues of food safety, quality, and authenticity in a more comprehensive way. Virgin olive oil (VOO) is a key product of the Mediterranean diet, with a globalized consumer interest as it may be associated with various nutritional and health benefits. Despite the strict legislation to protect this high added-value agricultural commodity and offer guarantees to consumers and honest producers, there are still analytical issues needing to be further addressed. Thus, this review aims to present the efforts made using targeted and untargeted metabolomics approaches, namely nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry-based techniques (mainly LC/GC-MS) combined with multivariate statistical analysis. Case-studies focusing on geographical/varietal classification and detection of adulteration are discussed with regards to the identification of possible markers. The advantages and limitations of each of the aforementioned techniques applied to VOO analysis are also highlighted.
PMID: 32505112 [PubMed - as supplied by publisher]
Emerging technologies for systems vaccinology - multi-omics integration and single-cell (epi)genomic profiling.
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Emerging technologies for systems vaccinology - multi-omics integration and single-cell (epi)genomic profiling.
Curr Opin Immunol. 2020 Jun 03;65:57-64
Authors: Wimmers F, Pulendran B
Abstract
Systems vaccinology leverages high-throughput 'omics' technologies, such as transcriptomics, metabolomics, and mass cytometry, coupled with computational approaches to construct a global map of the complex processes that occur during an immune response to vaccination. Its goal is to define the mechanisms of protective immunity and to identify cellular and molecular correlates of vaccine efficacy. Emerging technological advances including integration of multi-omics datasets, and single-cell genomic and epigenomic profiling of immune responses, have invigorated systems vaccinology, and provide new insights into the mechanisms by which the cellular and molecular information underlying immune memory is stored in the innate and adaptive immune systems. Here, we will review these emerging directions in systems vaccinology, with a particular focus on the epigenome, and its impact on modulating vaccination induced memory in the innate and adaptive immune systems.
PMID: 32504952 [PubMed - as supplied by publisher]