PubMed

Related Articles Physical activity reduces anxiety and regulates brain fatty acid synthesis. Mol Brain. 2020 Apr 17;13(1):62 Authors: Liśkiewicz A, Przybyła M, Wojakowska A, Marczak Ł, Bogus K, Nowacka-Chmielewska M, Liśkiewicz D, Małecki A, Barski J, Lewin-Kowalik J, Toborek M Abstract Physical activity impacts brain functions, but the direct mechanisms of this effect are not fully recognized or understood. Among multidimensional changes induced by physical activity, brain fatty acids (FA) appear to play an important role; however, the knowledge in this area is particularly scarce. Here we performed global metabolomics profiling of the hippocampus and the frontal cortex (FC) in a model of voluntary running in mice. Examined brain structures responded differentially to physical activity. Specifically, the markers of the tricarboxylic acid (TCA) cycle were downregulated in the FC, whereas glycolysis was enhanced in the hippocampus. Physical activity stimulated production of myristic, palmitic and stearic FA; i.e., the primary end products of de novo lipogenesis in the brain, which was accompanied by increased expression of hippocampal fatty acid synthase (FASN), suggesting stimulation of lipid synthesis. The changes in the brain fatty acid profile were associated with reduced anxiety level in the running mice. Overall, the study examines exercise-related metabolic changes in the brain and links them to behavioral outcomes. PMID: 32303271 [PubMed - as supplied by publisher]

Related Articles The C18:3n6/C22:4n6 ratio is a good lipid marker of chronic kidney disease (CKD) progression. Lipids Health Dis. 2020 Apr 17;19(1):77 Authors: Szczuko M, Kaczkan M, Małgorzewicz S, Rutkowski P, Dębska-Ślizień A, Stachowska E Abstract BACKGROUND: Chronic kidney disease (CKD) is a major challenge for public health due to increased risk of cardiovascular diseases (CVD) and premature death. The aim of this study was to determine the clinical picture of FA and the course of the pathophysiological mechanisms of CKD. METHODS: The study involved 149 patients with CKD and a control group including 43 people. Fatty acid profiles were investigated using gas chromatography. A total of 30 fatty acids and their derivatives were identified and quantified. The omega3, omega6, SFA, MUFA, and PUFA fatty acid contents were calculated. The correlation matrix was obtained for parameters relating to patients with CKD vs. FA, taking patients' sex into consideration. The index C18:3n6/C22:4n6 was calculated according to the length of the treatment. Statistica 12.0 software (Tulsa, Oklahoma, USA) was used for the statistical analyses. RESULTS: The results showed decreased levels of total PUFA and increased concentrations of MUFA, including the activation of the palmitic and oleic acid pathway. An increase in the levels of n-6 9C22: 4n6 family fatty acids in all the patients and a reduction in the n-3 family (EPA, DHA) were observed. C18:3n6 was negatively correlated and C22:4n6 was positively correlated with the duration of the treatment. The index C18:3n6/C22:4n6 was defined as a new marker in the progression of the disease. Moreover, the index C18:3n6/ C22:4n6 was drastically decreased in later period. Nervonic acid was higher in the CKD group. In the group of men with CKD, there was a negative correlation between the excretion of K+, anthropometric measurements, and the levels of EPA and DHA. CONCLUSIONS: The course of inflammation in CKD occurs through the decrease in PUFA and the synthesis of MUFA. The dominating cascade of changes is the elongation of GLA-C18:3n6 into DGLA-C20:3n6 and AA-C20:4n6. As CKD progresses, along with worsening anthropometrical parameters and increased secretion of potassium, the activity of Ʌ6-desaturase decreases, reducing the synthesis of EPA and DHA. The synthesis of AdA-C22:4n6 increases and the ratio C18:3n6/C22:4n6 drastically decreases after 5 years. This parameter can be used to diagnose disease progression. PMID: 32303226 [PubMed - as supplied by publisher]

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 2020/04/18PubMed 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.

22 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 2020/04/17PubMed 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.

18 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 2020/04/16PubMed 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.

29 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 2020/04/15PubMed 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.

29 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 2020/04/14PubMed 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.

29 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 2020/04/14PubMed 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.

Association of acyl carnitines and mortality in out-of-hospital-cardiac-arrest patients: Results of a prospective observational study. J Crit Care. 2020 Mar 26;58:20-26 Authors: Widmer M, Thommen EB, Becker C, Beck K, Vincent AM, Perrig S, Keller A, Bernasconi L, Neyer P, Marsch S, Pargger H, Sutter R, Tisljar K, Hunziker S Abstract PURPOSE: Out-of-hospital cardiac arrest (OHCA) is a leading cause of mortality, yet the prediction of its outcome remains challenging. Serum Acyl Carnitines (ACs), a biomarker of beta-oxidation, have been associated with cardiovascular events. We evaluated the association of different AC species with mortality and neurological outcome in a cohort of OHCA patients. MATERIAL AND METHODS: We consecutively included OHCA patients in this prospective observational study upon admission to the intensive care unit. We studied the association of thirty-nine different ACs measured at admission and 30-day mortality (primary endpoint), as well as neurological outcome at hospital discharge (secondary endpoint) using the Cerebral Performance Category scale. Multivariate models were adjusted for age, gender, comorbidities and shock markers. RESULTS: Of 281 included patients, 137 (48.8%) died within 30 days and of the 144 survivors (51.2%), 15 (10.4%) had poor neurological outcome. While several ACs were associated with mortality, AC C2 had the highest prognostic value for mortality (fully-adjusted odds ratio 4.85 (95%CI 1.8 to 13.06, p < .01), area under curve (AUC) 0.65) and neurological outcome (fully-adjusted odds ratio 3.96 (95%CI 1.47 to 10.66, p < .01), AUC 0.63). CONCLUSIONS: ACs are interesting surrogate biomarkers that are associated with mortality and poor neurological outcome in patients after OHCA and may help to improve the understanding of pathophysiological mechanisms and risk stratification. PMID: 32279017 [PubMed - as supplied by publisher]

Anthelmintic and metabolomic analyses of chicory (Cichorium intybus) identify an industrial by-product with potent in vitro antinematodal activity. Vet Parasitol. 2020 Mar 18;280:109088 Authors: Peña-Espinoza M, Valente AH, Bornancin L, Simonsen HT, Thamsborg SM, Williams AR, López-Muñoz R Abstract Chicory (Cichorium intybus) is a bioactive forage rich in sesquiterpene lactones (SLs) with reported in vitro and in vivo anthelmintic activity in livestock. However, the on-farm adoption of chicory as an anthelmintic crop is limited and may be facilitated by using standardised industrial chicory material. Chicory root pulp is a by-product obtained from industrial chicory roots after inulin extraction and can potentially retain SLs. However, SL content and associated anthelmintic activity of chicory root pulp have not been investigated. Here, we evaluated the anthelmintic activity of SL-enriched extracts from chicory root pulp and forage chicory, and used untargeted metabolomics and molecular networking to identify potential anthelmintic molecules. Six different sources of chicory material were used: fresh chicory root pulp (from industrial chicory roots C. intybus var. sativum; "Root Pulp"), fresh leaves from chicory cv. Spadona (sampled on four occasions) and fresh leaves from chicory cv. Choice. The resulting extracts were tested for anthelmintic activity against the free-living nematode Caenorhabditis elegans and the pig nematode Ascaris suum. The cytotoxicity of the chicory extracts was evaluated on mammalian (Vero) cells. In the C. elegans assays, the Root Pulp was the most potent extract and induced paralysis in >95% of worms exposed to >250  μg extract/mL (EC50 = 64.2 μg/mL). In the A. suum assays, the Root Pulp was also the most potent chicory extract to inhibit worm motility (EC50 = 87.6  μg/mL), followed closely by two of the Spadona leaf extracts (EC50 = 89.8  μg/mL and 112.2  μg/mL) The Root Pulp extract had the lowest cytotoxicity of all tested extracts towards mammalian cells, with a selectivity index of 5.37. Untargeted metabolomics revealed that chicory Root Pulp had a markedly different chemical profile in comparison with forage chicory extracts. Molecular networking confirmed several SLs and SL-derivatives mainly present in chicory root pulp, that may be responsible of its potent anti-parasitic activity. Bioactivity-based molecular networking of chicory root pulp and the most potent forage chicory extracts revealed a high predicted anthelmintic score for the guaianolide SL 11,13-dihydro-lactucopicrin. In conclusion, chicory root pulp showed potent and selective in vitro anthelmintic activity against C. elegans and A. suum, with low cytotoxicity in mammalian cells. The promising anthelmintic activity of chicory root pulp should be confirmed in vivo to further explore the potential of this agro-industrial by-product as a nutraceutical anthelmintic for livestock and as novel source of anti-parasitic compounds. PMID: 32278938 [PubMed - as supplied by publisher]

De novo discovery of metabolic heterogeneity with immunophenotype-guided imaging mass spectrometry. Mol Metab. 2020 Feb 14;36:100953 Authors: Prade VM, Kunzke T, Feuchtinger A, Rohm M, Luber B, Lordick F, Buck A, Walch A Abstract BACKGROUND: Imaging mass spectrometry enables in situ label-free detection of thousands of metabolites from intact tissue samples. However, automated steps for multi-omics analyses and interpretation of histological images have not yet been implemented in mass spectrometry data analysis workflows. The characterization of molecular properties within cellular and histological features is done via time-consuming, non-objective, and irreproducible definitions of regions of interest, which are often accompanied by a loss of spatial resolution due to mass spectra averaging. METHODS: We developed a new imaging pipeline called Spatial Correlation Image Analysis (SPACiAL), which is a computational multimodal workflow designed to combine molecular imaging data with multiplex immunohistochemistry (IHC). SPACiAL allows comprehensive and spatially resolved in situ correlation analyses on a cellular resolution. To demonstrate the method, matrix-assisted laser desorption-ionization (MALDI) Fourier-transform ion cyclotron resonance (FTICR) imaging mass spectrometry of metabolites and multiplex IHC staining were performed on the very same tissue section of mouse pancreatic islets and on human gastric cancer tissue specimens. The SPACiAL pipeline was used to perform an automatic, semantic-based, functional tissue annotation of histological and cellular features to identify metabolic profiles. Spatial correlation networks were generated to analyze metabolic heterogeneity associated with cellular features. RESULTS: To demonstrate the new method, the SPACiAL pipeline was used to identify metabolic signatures of alpha and beta cells within islets of Langerhans, which are cell types that are not distinguishable via morphology alone. The semantic-based, functional tissue annotation allows an unprecedented analysis of metabolic heterogeneity via the generation of spatial correlation networks. Additionally, we demonstrated intra- and intertumoral metabolic heterogeneity within HER2/neu-positive and -negative gastric tumor cells. CONCLUSIONS: We developed the SPACiAL workflow to provide IHC-guided in situ metabolomics on intact tissue sections. Diminishing the workload by automated recognition of histological and functional features, the pipeline allows comprehensive analyses of metabolic heterogeneity. The multimodality of immunohistochemical staining and extensive molecular information from imaging mass spectrometry has the advantage of increasing both the efficiency and precision for spatially resolved analyses of specific cell types. The SPACiAL method is a stepping stone for the objective analysis of high-throughput, multi-omics data from clinical research and practice that is required for diagnostics, biomarker discovery, or therapy response prediction. PMID: 32278304 [PubMed - as supplied by publisher]

Systems metabolomics: from metabolomic snapshots to design principles. Curr Opin Biotechnol. 2020 Apr 08;63:190-199 Authors: Damiani C, Gaglio D, Sacco E, Alberghina L, Vanoni M Abstract Metabolomics is a rapidly expanding technology that finds increasing application in a variety of fields, form metabolic disorders to cancer, from nutrition and wellness to design and optimization of cell factories. The integration of metabolic snapshots with metabolic fluxes, physiological readouts, metabolic models, and knowledge-informed Artificial Intelligence tools, is required to obtain a system-level understanding of metabolism. The emerging power of multi-omic approaches and the development of integrated experimental and computational tools, able to dissect metabolic features at cellular and subcellular resolution, provide unprecedented opportunities for understanding design principles of metabolic (dis)regulation and for the development of precision therapies in multifactorial diseases, such as cancer and neurodegenerative diseases. PMID: 32278263 [PubMed - as supplied by publisher]

Metabolic responses in Scophthalmus maximus kidney subjected to thermal stress. Fish Shellfish Immunol. 2020 Apr 08;: Authors: Yang S, Zhao T, Ma A, Huang Z, Liu Z, Cui W, Zhang J, Zhu C, Guo X, Yuan C Abstract Turbot (Scophthalmus maximus) is an economically important marine fish cultured in China. In this study, fish in the experimental group were exposed to four temperatures: 15, 20, 25 and 28 °C. Metabolomics analysis and quantitative real-time PCR were used to assess changes in metabolic profiling and gene expression associated with thermal stress. The results showed the levels of heat shock protein 70 (HSP70), heat shock protein 90 (HSP90), blood creatinine and cortisol in S. maximus were all significantly upregulated (P < 0.05), indicating a stress response at 25 °C or higher. Challenge with thermal stress significantly increased expression levels of succinate dehydrogenase (SDH), fructose-1, 6-bisphosphatase (FBPase), malate dehydrogenase (MDH), cytosolic phosphoenolpyruvate carboxykinase (cPEPCK), glucose-6-phosphatase (G6Pase) and aspartate aminotransferase (AST) (P < 0.05). However, there was no effect on the expression levels of lactate dehydrogenase (LDH), alanine aminotransferase (ALT) and mitochondrial phosphoenolpyruvate carboxykinase (mPEPCK). Moreover, high temperature decreased levels of glycogenic amino acids, including histidine, threonine, glutamine, phenylalanine, arginine, serine, tyrosine, methionine and isoleucine. These findings suggest a significant correlation between gene expression and regulation of carbohydrate and amino acid metabolism in heat-stressed S. maximus kidney. In addition, the maintenance of aerobic metabolism and activation of gluconeogenesis appeared to be a critical metabolic strategy in combating heat stress in turbot kidney. PMID: 32278112 [PubMed - as supplied by publisher]

Metabolomics identified new biomarkers for the precise diagnosis of pancreatic cancer and associated tissue metastasis. Pharmacol Res. 2020 Apr 08;:104805 Authors: Luo X, Liu J, Wang H, Lu H Abstract Pancreatic cancer (PC) is one of the most aggressive malignancies with high mortality due to a complex and latent pathogenesis leading to the severe lack of early diagnosis methods. To improve clinical diagnosis and enhance therapeutic outcome, we employed the newly developed precision-targeted metabolomics method to identify and validate metabolite biomarkers from the plasma samples of patients with pancreatic cancer that can sensitively and efficiently diagnose the onsite progression of the disease. Many differential metabolites have the capacity to markedly distinguish patients with pancreatic cancer (n = 60) from healthy controls (n = 60). To further enhance the specificity and selectivity of metabolite biomarkers, a dozen tumor tissues from PC patients and paired normal tissues were used to clinically validate the biomarker performance. We eventually verified five new metabolite biomarkers in plasma (creatine, inosine, beta-sitosterol, sphinganine and glycocholic acid), which can be used to readily diagnose pancreatic cancer in a clinical setting. Excitingly, we proposed a panel biomarker by integrating these five individual metabolites into one pattern, demonstrating much higher accuracy and specificity to precisely diagnose pancreatic cancer than conventional biomarkers (CA125, CA19-9, CA242 and CEA); moreover, this plasma panel biomarker used for PC diagnosis is also quite convenient to implement in clinical practice. Using the same metabolomics method, we characterized succinic acid and gluconic acid as having a great capability to monitor the progression and metastasis of pancreatic cancer at different stages. Taken together, this metabolomics method was used to identify and validate metabolite biomarkers that can precisely and sensitively diagnose the onsite progression and metastasis of pancreatic cancer in a clinical setting. Furthermore, such effort should leave clinicians with the correct time frame to facilitate early and efficient therapeutic interventions, which could largely improve the five-year survival rate of PC patients by significantly lowering clinical mortality. PMID: 32278036 [PubMed - as supplied by publisher]

Protective effects of Amygdalus mongolica on rats with renal fibrosis based on serum metabolomics. J Ethnopharmacol. 2020 Apr 08;:112858 Authors: Chang H, Liu Q, Bai WF, Bai YC, Jia XY, Gao C, Liu QL, Shi SL, Zhou HB Abstract ETHNOPHARMACOLOGICAL RELEVANCE: Renal fibrosis (RF) is a common outcome of various progressive chronic kidney diseases (CKDs) and, thus, seriously endangers human health. As the active ingredient of Amygdalus mongolica, amygdalin inhibits RF. Furthermore, our previous studies demonstrated that n-butanol extract (BUT) and petroleum ether extract (PET), which are effective components of A. mongolica, have an anti-renal fibrosis effect. However, their potential mechanisms of action are unclear and need further verification. AIMS OF THE STUDY: The aims of this study were to further investigate the effects and potential mechanisms of A. mongolica extracts in the treatment of RF. MATERIALS AND METHODS: The animals were divided into the control group, RF model group, PET group and BUT group. The RF rat model was established through unilateral ureteral obstruction (UUO). Biochemical indicators, including blood urea nitrogen (BUN), serum creatinine (Scr), and hydroxyproline (HYP, a routine marker of fibrosis), and the antioxidant index (including superoxide dismutase (SOD) and malondialdehyde (MDA)) were measured to evaluate the anti-RF effects of the extracts of A. mongolica. The histomorphology of renal tissue was observed and scored by HE and Masson staining. A serum metabonomic analysis based on UPLC-Q-TOF/MS was performed to assess the changes in the metabolic profile among the different groups. RESULTS: The results showed that PET and BUT significantly improved tubulointerstitial damage and fibrosis by reducing the levels of Scr, BUN, HYP, and MDA and increasing the level of SOD. Moreover, no significant differences in efficacy were observed between the BUT and PET groups. According to the metabolomics analysis, seventy-four potential biomarkers were identified, and eight crucial biomarkers were further selected. These key biomarkers significantly contributed to RF progression by participating in six metabolic pathways, including pathways involved in arginine and proline metabolism, histidine metabolism, nicotinamide metabolism, pentose and glucuronate interconversion, ascorbate and aldarate metabolism, and amino sugar and nucleotide sugar metabolism. In addition, eight key biomarkers and six crucial biomarkers were restored to levels similar to those observed in controls following the treatment with PET and BUT, respectively. CONCLUSIONS: The outcomes of these studies demonstrate the renoprotective effects of A. mongolica extracts in rats with RF and revealed the mechanism underlying these antifibrotic effects on metabolic activity for the first time. PMID: 32278030 [PubMed - as supplied by publisher]

Functional changes of the liver in the absence of growth hormone (GH) action - Proteomic and metabolomic insights from a GH receptor deficient pig model. Mol Metab. 2020 Mar 18;:100978 Authors: Riedel EO, Hinrichs A, Kemter E, Dahlhoff M, Backman M, Rathkolb B, Prehn C, Adamski J, Renner S, Blutke A, de Angelis MH, Bidlingmaier M, Schopohl J, Arnold GJ, Fröhlich T, Wolf E Abstract OBJECTIVE: The liver is a central target organ of growth hormone (GH), which stimulates the synthesis of insulin-like growth factor 1 (IGF1) and affects multiple biochemical pathways. A systematic multi-omics analysis of GH effects in the liver has not been performed. GH receptor (GHR) deficiency is a unique model for studying the consequences of lacking GH action. In this study, we used molecular profiling techniques to capture a broad spectrum of these effects in the liver of a clinically relevant large animal model for Laron syndrome. METHODS: We performed holistic proteome and targeted metabolome analyses of liver samples from 6-month-old GHR-deficient (GHR-KO) pigs and GHR-expressing controls (four males, four females per group). RESULTS: GHR deficiency resulted in an increased abundance of enzymes involved in amino acid degradation, in the urea cycle, and in the tricarboxylic acid cycle. A decreased ratio of long-chain acylcarnitines to free carnitine suggested reduced activity of carnitine palmitoyltransferase 1A and thus reduced mitochondrial import of fatty acids for beta-oxidation. Increased levels of short-chain acylcarnitines in the liver and in the circulation of GHR-KO pigs may result from impaired beta-oxidation of short-chain fatty acids or from increased degradation of specific amino acids. The concentration of mono-unsaturated glycerophosphocholines was significantly increased in the liver of GHR-KO pigs without morphological signs of steatosis, although the abundances of several proteins functionally linked to non-alcoholic fatty liver disease (fetuin B, retinol binding protein 4, several mitochondrial proteins) were increased. Moreover, GHR-deficient liver samples revealed distinct changes in the methionine and glutathione metabolic pathways, in particular, a significantly increased level of glycine N-methyltransferase and increased levels of total and free glutathione. Several proteins revealed a sex-related abundance difference in the control group but not in the GHR-KO group. CONCLUSIONS: Our integrated proteomics/targeted metabolomics study of GHR-deficient and control liver samples from a clinically relevant large animal model identified a spectrum of biological pathways that are significantly altered in the absence of GH action. Moreover, new insights into the role of GH in the sex-related specification of liver functions were provided. PMID: 32277923 [PubMed - as supplied by publisher]

Related Articles Exposure to inorganic arsenic and its methylated metabolites alters metabolomics profiles in INS-1 832/13 insulinoma cells and isolated pancreatic islets. Arch Toxicol. 2020 Apr 10;: Authors: Li YY, Douillet C, Huang M, Beck R, Sumner SJ, Styblo M Abstract Inorganic arsenic (iAs) is an environmental diabetogen, but mechanisms underlying its diabetogenic effects are poorly understood. Exposures to arsenite (iAsIII) and its methylated metabolites, methylarsonite (MAsIII) and dimethylarsinite (DMAsIII), have been shown to inhibit glucose-stimulated insulin secretion (GSIS) in pancreatic β-cells and isolated pancreatic islets. GSIS is regulated by complex mechanisms. Increase in ATP production through metabolism of glucose and other substrates is the ultimate trigger for GSIS in β-cells. In the present study, we used metabolomics to identify metabolites and pathways perturbed in cultured INS-1 832/13 rat insulinoma cells and isolated murine pancreatic islets by exposures to iAsIII, MAsIII and DMAsIII. We found that the exposures perturbed multiple metabolites, which were enriched primarily in the pathways of amino acid, carbohydrate, phospholipid and carnitine metabolism. However, the effects of arsenicals in INS-1 832/13 cells differed from those in the islets and were exposure specific with very few overlaps between the three arsenicals. In INS-1 832/13 cells, all three arsenicals decreased succinate, a metabolite of Krebs cycle, which provides substrates for ATP synthesis in mitochondria. Acetylcarnitine was decreased consistently by exposures to arsenicals in both the cells and the islets. Acetylcarnitine is usually found in equilibrium with acetyl-CoA, which is the central metabolite in the catabolism of macronutrients and the key substrate for Krebs cycle. It is also thought to play an antioxidant function in mitochondria. Thus, while each of the three trivalent arsenicals perturbed specific metabolic pathways, which may or may not be associated with GSIS, all three arsenicals appeared to impair mechanisms that support ATP production or antioxidant defense in mitochondria. These results suggest that impaired ATP production and/or mitochondrial dysfunction caused by oxidative stress may be the mechanisms underlying the inhibition of GSIS in β-cells exposed to trivalent arsenicals. PMID: 32277266 [PubMed - as supplied by publisher]

Related Articles Metabolomic changes associated with frontotemporal lobar degeneration syndromes. J Neurol. 2020 Apr 10;: Authors: Murley AG, Jones PS, Coyle Gilchrist I, Bowns L, Wiggins J, Tsvetanov KA, Rowe JB Abstract OBJECTIVE: Widespread metabolic changes are seen in neurodegenerative disease and could be used as biomarkers for diagnosis and disease monitoring. They may also reveal disease mechanisms that could be a target for therapy. In this study we looked for blood-based biomarkers in syndromes associated with frontotemporal lobar degeneration. METHODS: Plasma metabolomic profiles were measured from 134 patients with a syndrome associated with frontotemporal lobar degeneration (behavioural variant frontotemporal dementia n = 30, non fluent variant primary progressive aphasia n = 26, progressive supranuclear palsy n = 45, corticobasal syndrome n = 33) and 32 healthy controls. RESULTS: Forty-nine of 842 metabolites were significantly altered in frontotemporal lobar degeneration syndromes (after false-discovery rate correction for multiple comparisons). These were distributed across a wide range of metabolic pathways including amino acids, energy and carbohydrate, cofactor and vitamin, lipid and nucleotide pathways. The metabolomic profile supported classification between frontotemporal lobar degeneration syndromes and controls with high accuracy (88.1-96.6%) while classification accuracy was lower between the frontotemporal lobar degeneration syndromes (72.1-83.3%). One metabolic profile, comprising a range of different pathways, was consistently identified as a feature of each disease versus controls: the degree to which a patient expressed this metabolomic profile was associated with their subsequent survival (hazard ratio 0.74 [0.59-0.93], p = 0.0018). CONCLUSIONS: The metabolic changes in FTLD are promising diagnostic and prognostic biomarkers. Further work is required to replicate these findings, examine longitudinal change, and test their utility in differentiating between FTLD syndromes that are pathologically distinct but phenotypically similar. PMID: 32277260 [PubMed - as supplied by publisher]

Related Articles Data normalization strategies in metabolomics: Current challenges, approaches, and tools. Eur J Mass Spectrom (Chichester). 2020 Apr 10;:1469066720918446 Authors: Misra BB PMID: 32276547 [PubMed - as supplied by publisher]

Related Articles Bioassay-Guided Isolation, Metabolic Profiling, and Docking Studies of Hyaluronidase Inhibitors from Ravenala madagascariensis. Molecules. 2020 Apr 08;25(7): Authors: Mohamed EM, Hetta MH, Rateb ME, Selim MA, AboulMagd AM, Badria FA, Abdelmohsen UR, Alhadrami HA, Hassan HM Abstract Hyaluronidase enzyme (HAase) has a role in the dissolution or disintegration of hyaluronic acid (HA) and in maintaining the heathy state of skin. Bioassay-guided fractionation of Ravenala madagascariensis (Sonn.) organ extracts (leaf, flower, stem, and root) testing for hyaluronidase inhibition was performed followed by metabolic profiling using LC-HRMS. Additionally, a hyaluronidase docking study was achieved using Molecular Operating Environment (MOE). Results showed that the crude hydroalcoholic (70% EtOH) extract of the leaves as well as its n-butanol (n-BuOH) partition showed higher HAase activity with 64.3% inhibition. Metabolic analysis of R. madagascariensis resulted in the identification of 19 phenolic compounds ranging from different chemical classes (flavone glycosides, flavonol glycosides, and flavanol aglycones). Bioassay-guided purification of the leaf n-BuOH partition led to the isolation of seven compounds that were identified as narcissin, rutin, epiafzelechin, epicatechin, isorhamnetin 7-O-glucoside, kaempferol, and isorhamnetin-7-O-rutinoside. The docking study showed that narcissin, rutin, and quercetin 3-O-glucoside all interact with HAase through hydrogen bonding with the Asp111, Gln271, and/or Glu113 residues. Our results highlight Ravenala madagascariensis and its flavonoids as promising hyaluronidase inhibitors in natural cosmetology preparations for skin care. PMID: 32276509 [PubMed - as supplied by publisher]