PubMed

Related Articles Metabolite Analysis and Histology on the Exact Same Tissue: Comprehensive Metabolomic Profiling and Metabolic Classification of Prostate Cancer. Sci Rep. 2016 08 31;6:32272 Authors: Huan T, Troyer DA, Li L Abstract We report a method of metabolomic profiling of intact tissue based on molecular preservation by extraction and fixation (mPREF) and high-performance chemical isotope labeling (CIL) liquid chromatography mass spectrometry (LC-MS). mPREF extracts metabolites by aqueous methanol from tissue biopsies without altering tissue architecture and thus conventional histology can be performed on the same tissue. In a proof-of-principle study, we applied dansylation LC-MS to profile the amine/phenol submetabolome of prostate needle biopsies from 25 patient samples derived from 16 subjects. 2900 metabolites were consistently detected in more than 50% of the samples. This unprecedented coverage allowed us to identify significant metabolites for differentiating tumor and normal tissues. The panel of significant metabolites was refined using 36 additional samples from 18 subjects. Receiver Operating Characteristic (ROC) analysis showed area-under-the-curve (AUC) of 0.896 with sensitivity of 84.6% and specificity of 83.3% using 7 metabolites. A blind study of 24 additional validation samples gave a specificity of 90.9% at the same sensitivity of 84.6%. The mPREF extraction can be readily implemented into the existing clinical workflow. Our method of combining mPREF with CIL LC-MS offers a powerful and convenient means of performing histopathology and discovering or detecting metabolite biomarkers in the same tissue biopsy. PMID: 27578275 [PubMed - indexed for MEDLINE]

Application of metabolomics to preeclampsia diagnosis. Syst Biol Reprod Med. 2018 Jul 02;:1-16 Authors: Nobakht M Gh BF Abstract Preeclampsia is a multifactorial disorder defined by hypertension and increased urinary protein excretion during pregnancy. It is a significant cause of maternal and neonatal deaths worldwide. Despite various research efforts to clarify pathogenies of preeclampsia and predict this disease before beginning of symptoms, the pathogenesis of preeclampsia is unclear. Early prediction and diagnosis of women at risk of preeclampsia has not markedly improved. Therefore, the objective of this study was to perform a review on metabolomic articles assessing predictive and diagnostic biomarkers of preeclampsia. Four electronic databases including PubMed/Medline, Web of Science, Sciencedirect, and Scopus were searched to identify studies of preeclampsia in humans using metabolomics from inception to March 2018. Twenty-one articles in a variety of biological specimens and analytical platforms were included in the present review. Metabolite profiles may assist in the diagnosis of preeclampsia and discrimination of its subtypes. Lipids and their related metabolites were the most generally detected metabolites. Although metabolomic biomarkers of preeclampsia are not routinely used, this review suggests that metabolomics has the potential to be developed into a clinical tool for preeclampsia diagnosis and could contribute to an improved understanding of disease mechanisms. ABBREVIATIONS: PE: preeclampsia; sFlt-1: soluble FMS-like tyrosine kinase-1; PlGF: placental growth factor; GC-MS: gas chromatography-mass spectrometry; LC-MS: liquid chromatography-mass spectrometry; NMR: nuclear magnetic resonance spectroscopy; HMDB: human metabolome database; RCT: randomized control trial; e-PE: early-onset PE; l-PE: late-onset PE; PLS-DA: partial least-squares-discriminant analysis; CRL: crown-rump length; UtPI: uterine artery Doppler pulsatility index; BMI: body mass index; MAP: mean arterial pressure; OS: oxidative stress; PAPPA: plasma protein A; FTIR: Fourier transform infrared; BCAA: branched chain amino acids; Arg: arginine; NO: nitric oxide. PMID: 29965778 [PubMed - as supplied by publisher]

Effects of Prebiotics vs a Diet Low in Fodmaps in Patients with Functional Gut Disorder. Gastroenterology. 2018 Jun 28;: Authors: Huaman JW, Mego M, Manichanh C, Cañellas N, Cañueto D, Segurola H, Jansana M, Malagelada C, Accarino A, Vulevic J, Tzortzis G, Gibson G, Saperas E, Guarner F, Azpiroz F Abstract Prebiotics and diets low in fermentable residues (low-FODMAP diet) might reduce symptoms in patients with functional gastrointestinal disorders, despite reports that some non-absorbable, fermentable meal products (prebiotics) provide substrates for colonic bacteria and thereby increase gas production. We performed a randomized, parallel, double-blind study of patients with functional gastrointestinal disorders with flatulence. We compared the effects of a prebiotic supplement (2.8 g/day Bimuno containing 1.37g B-GOS) plus a placebo (Mediterranean-type diet; prebiotic group, n=19) vs a placebo supplement (2.8 g glucose) plus a diet low in fermentable oligo-, di-, mono-saccharides and polyols (low-FODMAP group, n=21) for 4 weeks; patients were then followed for 2 weeks. The primary outcome was effects on composition of the fecal microbiota, analyzed by 16S sequencing. Secondary outcomes were intestinal gas production and digestive sensations. After 4 weeks, we observed opposite effects on microbiota in each group-particularly in relation to the abundance of Bifidobacterium sequences (increase in the prebiotic group and decrease in the low-FODMAP group; P=.042), and Bilophila wadsworthia (decrease in the prebiotic group and increase in the low-FODMAP group; P=.050). After 4 weeks, both groups had statistically significant reductions in all symptom scores, except reductions in flatulence and borborygmi were not significant in the prebiotic group. Although the decrease in symptoms persisted for 2 weeks after patients discontinued prebiotic supplementation, symptoms reappeared immediately after patients discontinued the low-FODMAP diet. Intermittent prebiotic administration might therefore be an alternative to dietary restrictions for patients with functional gut symptoms. ClinicalTrials.gov no: NCT02210572. PMID: 29964041 [PubMed - as supplied by publisher]

The Active Jasmonate JA-Ile Regulates a Specific Subset of Plant Jasmonate-Mediated Resistance to Herbivores in Nature. Front Plant Sci. 2018;9:787 Authors: Schuman MC, Meldau S, Gaquerel E, Diezel C, McGale E, Greenfield S, Baldwin IT Abstract The jasmonate hormones are essential regulators of plant defense against herbivores and include several dozen derivatives of the oxylipin jasmonic acid (JA). Among these, the conjugate jasmonoyl isoleucine (JA-Ile) has been shown to interact directly with the jasmonate co-receptor complex to regulate responses to jasmonate signaling. However, functional studies indicate that some aspects of jasmonate-mediated defense are not regulated by JA-Ile. Thus, it is not clear whether JA-Ile is best characterized as the master jasmonate regulator of defense, or if it regulates more specific aspects. We investigated possible functions of JA-Ile in anti-herbivore resistance of the wild tobacco Nicotiana attenuata, a model system for plant-herbivore interactions. We first analyzed the soluble and volatile secondary metabolomes of irJAR4xirJAR6, asLOX3, and WT plants, as well as an RNAi line targeting the jasmonate co-receptor CORONATINE INSENSITIVE 1 (irCOI1), following a standardized herbivory treatment. irJAR4xirJAR6 were the most similar to WT plants, having a ca. 60% overlap in differentially regulated metabolites with either asLOX3 or irCOI1. In contrast, while at least 25 volatiles differed between irCOI1 or asLOX3 and WT plants, there were few or no differences in herbivore-induced volatile emission between irJAR4xirJAR6 and WT plants, in glasshouse- or field-collected samples. We then measured the susceptibility of jasmonate-deficient vs. JA-Ile-deficient plants in nature, in comparison to wild-type (WT) controls, and found that JA-Ile-deficient plants (irJAR4xirJAR6) are much better defended even than a mildly jasmonate-deficient line (asLOX3). The differences among lines could be attributed to differences in damage from specific herbivores, which appeared to prefer either one or the other jasmonate-deficient phenotype. We further investigated the elicitation of one herbivore-induced volatile known to be jasmonate-regulated and to mediate resistance to herbivores: (E)-α-bergamotene. We found that JA was a more potent elicitor of (E)-α-bergamotene emission than was JA-Ile, and when treated with JA, irJAR4xirJAR6 plants emitted 20- to 40-fold as much (E)-α-bergamotene than WT. We conclude that JA-Ile regulates specific aspects of herbivore resistance in N. attenuata. This specificity may allow plants flexibility in their responses to herbivores and in managing trade-offs between resistance, vs. growth and reproduction, over the course of ontogeny. PMID: 29963064 [PubMed]

Effects of Oligosaccharides From Morinda officinalis on Gut Microbiota and Metabolome of APP/PS1 Transgenic Mice. Front Neurol. 2018;9:412 Authors: Xin Y, Diling C, Jian Y, Ting L, Guoyan H, Hualun L, Xiaocui T, Guoxiao L, Ou S, Chaoqun Z, Jun Z, Yizhen X Abstract Alzheimer's disease (AD), a progressive neurodegenerative disorder, lacks preclinical diagnostic biomarkers and therapeutic drugs. Thus, earlier intervention in AD is a top priority. Studies have shown that the gut microbiota influences central nervous system disorders and that prebiotics can improve the cognition of hosts with AD, but these effects are not well understood. Preliminary research has shown that oligosaccharides from Morinda officinalis (OMO) are a useful prebiotic and cause substantial memory improvements in animal models of AD; however, the mechanism is still unclear. Therefore, this study was conducted to investigate whether OMO are clinically effective in alleviating AD by improving gut microbiota. OMO were administered to APP/PS1 transgenic mice, and potential clinical biomarkers of AD were identified with metabolomics and bioinformatics. Behavioral experiments demonstrated that OMO significantly ameliorated the memory of the AD animal model. Histological changes indicated that OMO ameliorated brain tissue swelling and neuronal apoptosis and downregulated the expression of the intracellular AD marker Aβ1-42. 16S rRNA sequencing analyses indicated that OMO maintained the diversity and stability of the microbial community. The data also indicated that OMO are an efficacious prebiotic in an animal model of AD, regulating the composition and metabolism of the gut microbiota. A serum metabolomics assay was performed using UHPLC-LTQ Orbitrap mass spectrometry to delineate the metabolic changes and potential early biomarkers in APP/PS1 transgenic mice. Multivariate statistical analysis showed that 14 metabolites were significantly upregulated, and 8 metabolites were downregulated in the model animals compared to the normal controls. Thus, key metabolites represent early indicators of the development of AD. Overall, we report a drug and signaling pathway with therapeutic potential, including proteins associated with cognitive deficits in normal mice or gene mutations that cause AD. PMID: 29962999 [PubMed]

Related Articles Gastropods and Insects Prefer Different Solanum dulcamara Chemotypes. J Chem Ecol. 2018 Jul 02;: Authors: Calf OW, Huber H, Peters JL, Weinhold A, Poeschl Y, van Dam NM Abstract Solanum dulcamara (Bittersweet nightshade) shows significant intraspecific variation in glycoalkaloid (GA) composition and concentration. We previously showed that constitutive differences in overall GA levels are correlated with feeding preference of the grey field slug (GFS; Deroceras reticulatum). One particularly preferred accession, ZD11, contained low GA levels, but high levels of previously unknown structurally related uronic acid conjugated compounds (UACs). Here we test whether different slug species as well as insect herbivores show similar feeding preferences among six S. dulcamara accessions with different GA chemotypes. In addition, we investigate whether slug feeding can lead to induced changes in the chemical composition and affect later arriving herbivores. A leaf disc assay using greenhouse-grown plants showed that three slug species similarly preferred accessions with low GA levels. Untargeted metabolomic analyses showed that previous slug feeding consistently increased the levels of N-caffeoyl-putrescine and a structurally related metabolite, but not the levels of GAs and UACs. Slug-induced responses only affected slug preference in one accession. A common garden experiment using the same six accessions revealed that ZD11 received the highest natural gastropod feeding damage, but suffered the lowest damage by specialist flea beetles. The latter preferred to feed on accessions with high GA levels. Our study indicates that different selection pressures imposed by generalist gastropods and specialist insects may explain part of the observed chemical diversity in S. dulcamara. PMID: 29961916 [PubMed - as supplied by publisher]

Related Articles Metabolomics of heat stress response in pig adipose tissue reveals alteration of phospholipid and fatty acid composition during heat stress. J Anim Sci. 2018 Jun 29;: Authors: Qu H, Ajuwon KM Abstract To determine the effect of heat stress (HS) on adipose tissue metabolome, a combination of liquid chromatography-mass spectrometry-based metabolomics profiling approaches was applied to characterize changes of metabolite classes in adipocytes differentiated in culture (in vitro) and mesenteric adipose tissue of pigs exposed to HS (in vivo). Effect of HS on the composition of individual fatty acids in cultured adipocytes, mesenteric adipose tissue, and serum of animals was also investigated using gas chromatography analysis. In vitro, preadipocytes were differentiated either under control (37 °C) or HS (41.5 °C) temperature for 9 d. For the animal experiment, pigs were kept either in control (Con) environment (20 °C) with ad libitum feed intake, HS (35 °C) temperature with ad libitum feed intake (HS), or at 20 °C with pair feeding to the HS pigs. In cultured cells, HS increased triglyceride and decreased monoacylglycerol (P < 0.05) species accumulation compared with control. Phosphatidylinositol and phosphatidylserine were increased by HS, whereas phosphatidylcholine, phosphatidylethanolamine, and phosphatidylglycerol were decreased relative to control (P < 0.05). Heat-stressed adipocytes in culture also had higher concentrations of saturated (SFA) and monounsaturated fatty acids (P < 0.05) relative to control. Pathways of proline and biotin metabolism were elevated (P < 0.05) by HS in adipocytes. The metabolomics signatures in adipocytes cultured under HS indicates that pathways centered around diacylglycerol metabolism are impacted by HS. In adipose tissue from animals in the HS treatment, there was increased (P < 0.05) abundance of 4,8 dimethylnonanoyl carnitine (P < 0.05). Heat-stressed animals also had higher (P < 005) serum linoleic, total polyunsaturated fatty acids, and decreased total SFA than PF (P < 0.05). These results indicate that HS elevates lipogenic pathways while suppressing fatty acid oxidation and demonstrate the usefulness of metabolomics analysis as a tool for determining the impact of HS in pig tissues. PMID: 29961875 [PubMed - as supplied by publisher]

Related Articles Comparative analysis of volatile organic compounds for the classification and identification of mycobacterial species. PLoS One. 2018;13(3):e0194348 Authors: Küntzel A, Oertel P, Fischer S, Bergmann A, Trefz P, Schubert J, Miekisch W, Reinhold P, Köhler H Abstract BACKGROUND: Species of Mycobacteriaceae cause serious zoonotic diseases in mammals, for example tuberculosis in humans, dogs, parrots, and elephants (caused by Mycobacterium tuberculosis) and in ruminants and humans (caused by M. bovis and M. caprae). Pulmonary diseases, lymphadenitis, skin diseases, and disseminated diseases can be caused by non-tuberculous mycobacteria (NTM). Diagnosis and differentiation among Mycobacterium species are currently done by culture isolation. The established diagnostic protocols comprise several steps that allow species identification. Detecting volatile organic compounds (VOCs) above bacterial cultures is a promising approach towards accelerating species identification via culture isolation. The aims of this project were to analyse VOCs in the headspace above 13 different species of mycobacteria, to define VOC profiles that are unique for each species, and to compile a set of substances that indicate the presence of growing mycobacteria in general. MATERIALS & METHODS: VOCs were measured in the headspace above 17 different mycobacterial strains, all cultivated on Herrold's Egg Yolk Medium and above pure media slants that served as controls. For pre-concentration of VOCs, needle-trap micro-extraction was employed. Samples were subsequently analysed using gas chromatography-mass spectrometry. All volatiles were identified and calibrated by analysing pure reference substances. RESULTS: More than 130 VOCs were detected in headspace above mycobacteria-inoculated and control slants. Results confirmed significant VOC emissions above all mycobacterial species that had grown well. Concentration changes were measurable in vials with visually assessed bacterial growth and vials without apparent growth. VOCs above mycobacterial cultures could be grouped into substances that were either higher or equally concentrated, lower or equally concentrated, or both as those above control slants. Hence, we were able to identify 17 substances as potential biomarkers of the presence of growing mycobacteria in general. CONCLUSIONS: This study revealed species-specific VOC profiles for eleven species of mycobacteria that showed visually apparent bacterial growth at the time point of analysis. PMID: 29558492 [PubMed - indexed for MEDLINE]

Related Articles Discovering the potential of S. clavuligerus for bioactive compound production: cross-talk between the chromosome and the pSCL4 megaplasmid. BMC Genomics. 2017 11 25;18(1):907 Authors: Álvarez-Álvarez R, Martínez-Burgo Y, Rodríguez-García A, Liras P PMID: 29178826 [PubMed - indexed for MEDLINE]

Related Articles Correlations in the elemental and metabolic profiles of the lichen Dirinaria picta after road traffic exposure. Metallomics. 2017 Nov 15;9(11):1610-1621 Authors: Huang X, Wang L, Laserna AKC, Li SFY Abstract Lichens can be used as cost-effective biomonitors of elements from road traffic in the urban environment. However, the nature of comprehensive interactions between hazardous heavy metals from road traffic and lichen metabolites remains unclear. In this study, elemental and metabolic profiles of the lichen Dirinaria picta after exposure to road traffic for 3 months in 9 sites of Singapore city were investigated. Concentrations of 34 elements reveal strong correlations among each other and a general increase with traffic exposure level. A variety of metabolites, i.e. sugar alcohols, sugars, amino acids, low-molecular mass organic acids, secondary metabolites and nucleosides, are identified through a multi-platform approach combining liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF/MS), gas chromatography quadrupole mass spectrometry (GC-Q/MS) and 1H nuclear magnetic resonance (1H NMR). The total amount of the heavy metals Fe, Zn, Cu, Cd, Pb and Co can be significantly correlated with 21 metabolites positively and 9 metabolites negatively. These correlations reveal a heavy metal detoxification mechanism through ROS scavenging, osmoregulation and chelation with N atoms and sulfhydryl groups, as well as depletion of arabitol and inhibited synthesis of certain secondary metabolites such as quinones and steroids due to heavy metal stress. This study provides new insights into the metabolic toxicity and detoxification mechanisms in lichens under heavy metal exposure. PMID: 29072738 [PubMed - indexed for MEDLINE]

Related Articles Improved performance of Pseudomonas putida in a bioelectrochemical system through overexpression of periplasmic glucose dehydrogenase. Biotechnol Bioeng. 2018 Jan;115(1):145-155 Authors: Yu S, Lai B, Plan MR, Hodson MP, Lestari EA, Song H, Krömer JO Abstract It was recently demonstrated that a bioelectrochemical system (BES) with a redox mediator allowed Pseudomonas putida to perform anoxic metabolism, converting sugar to sugar acids with high yield. However, the low productivity currently limits the application of this technology. To improve productivity, the strain was optimized through improved expression of glucose dehydrogenase (GCD) and gluconate dehydrogenase (GAD). In addition, quantitative real-time RT-PCR analysis revealed the intrinsic self-regulation of GCD and GAD. Utilizing this self-regulation system, the single overexpression strain (GCD) gave an outstanding performance in the electron transfer rate and 2-ketogluconic acid (2KGA) productivity. The peak anodic current density, specific glucose uptake rate and 2KGA producing rate were 0.12 mA/cm2 , 0.27 ± 0.02 mmol/gCDW /hr and 0.25 ± 0.02 mmol/gCDW /hr, which were 327%, 477%, and 644% of the values of wild-type P. putida KT2440, respectively. This work demonstrates that expression of periplasmic dehydrogenases involved in electron transfer can significantly improve productivity in the BES. PMID: 28921555 [PubMed - indexed for MEDLINE]

Related Articles Metabolite profiling of obese individuals before and after a one year weight loss program. Int J Obes (Lond). 2017 Sep;41(9):1369-1378 Authors: Geidenstam N, Al-Majdoub M, Ekman M, Spégel P, Ridderstråle M Abstract OBJECTIVE: We and others have previously characterized changes in circulating metabolite levels following diet-induced weight loss. Our aim was to investigate whether baseline metabolite levels and weight-loss-induced changes in these are predictive of or associated with changes in body mass index (BMI) and metabolic risk traits. METHODS: Serum metabolites were analyzed with gas and liquid chromatography/mass spectrometry in 91 obese individuals at baseline and after participating in a 1 year non-surgical weight loss program.ResultsA total of 137 metabolites were identified and semi-quantified at baseline (BMI 42.7±5.8, mean±s.d.) and at follow-up (BMI 36.3±6.6). Weight-loss-induced modification was observed for levels of 57 metabolites in individuals with ⩾10% weight loss. Lower baseline levels of xylitol was predictive of a greater decrease in BMI (β=0.06, P<0.01) and ⩾10% weight loss (odds ratio (OR)=0.2, confidence interval (CI)=0.07-0.7, P=0.01). Decreases in levels of isoleucine, leucine, valine and tyrosine were associated with decrease in BMI (β>0.1, P<0.05) and ⩾10% weight loss (isoleucine: OR=0.08, CI=0.01-0.3, leucine: OR=0.1, CI=0.01-0.6, valine: OR=0.1, CI=0.02-0.5, tyrosine: OR=0.1, CI=0.03-0.6, P<0.02). CONCLUSIONS: Diet-induced weight loss leads to mainly reduced levels of metabolites that are elevated in obese insulin resistant individuals. We identified multiple new associations with metabolic risk factors and validated several previous findings related to weight loss-mediated metabolite changes. Levels of specific metabolites, such as xylitol, may be predictive of the response to non-surgical weight loss already at baseline. PMID: 28529327 [PubMed - indexed for MEDLINE]

Related Articles Role of sulfotransferases in resveratrol metabolism in human adipocytes. Mol Nutr Food Res. 2017 Oct;61(10): Authors: Gheldof N, Moco S, Chabert C, Teav T, Barron D, Hager J Abstract SCOPE: Polyphenols such as resveratrol received interest for their wide-ranging biological benefits, including anti-obesity potential, mimicking effects of caloric restriction with reduced body fat and increased energy expenditure. However, resveratrol is rapidly metabolized, and it is not completely understood which form of resveratrol is responsible for the effects observed within target cells such as adipocytes. Also the role of metabolizing enzymes has not been investigated before. METHODS AND RESULTS: Resveratrol metabolism was evaluated in human adipocytes by UHPLC-MS at low physiological doses. Resveratrol was found to rapidly metabolize into its sulfated form, while resveratrol glucuronides were undetectable. Only resveratrol, but not its sulfated nor glucuronidated forms had an antilipolytic effect on adipocytes. The metabolizing enzyme responsible for sulfation of polyphenols is SULT1A1, and was found to be upregulated upon adipocyte differentiation. Knocking down SULT1A1 in adipocytes led to decreased resveratrol sulfate and increased resveratrol intra- and extracellularly. This lower SULT1A1 activity resulted in an increased antilipolytic effect of resveratrol on adipocytes, as demonstrated by lower glycerol accumulation, which could be attributed to lower activity of the lipolytic protein, perilipin. CONCLUSION: Sulfotransferase activity modulates metabolism of resveratrol in adipocytes with potential consequences on bioavailability and thus metabolic action of this polyphenol. PMID: 28523759 [PubMed - indexed for MEDLINE]

Four Key Steps Control Glycolytic Flux in Mammalian Cells. Cell Syst. 2018 Jun 26;: Authors: Tanner LB, Goglia AG, Wei MH, Sehgal T, Parsons LR, Park JO, White E, Toettcher JE, Rabinowitz JD Abstract Altered glycolysis is a hallmark of diseases including diabetes and cancer. Despite intensive study of the contributions of individual glycolytic enzymes, systems-level analyses of flux control through glycolysis remain limited. Here, we overexpress in two mammalian cell lines the individual enzymes catalyzing each of the 12 steps linking extracellular glucose to excreted lactate, and find substantial flux control at four steps: glucose import, hexokinase, phosphofructokinase, and lactate export (and not at any steps of lower glycolysis). The four flux-controlling steps are specifically upregulated by the Ras oncogene: optogenetic Ras activation rapidly induces the transcription of isozymes catalyzing these four steps and enhances glycolysis. At least one isozyme catalyzing each of these four steps is consistently elevated in human tumors. Thus, in the studied contexts, flux control in glycolysis is concentrated in four key enzymatic steps. Upregulation of these steps in tumors likely underlies the Warburg effect. PMID: 29960885 [PubMed - as supplied by publisher]

Application of Metabolomics in the Study of Natural Products. Nat Prod Bioprospect. 2018 Jun 29;: Authors: Zhao Q, Zhang JL, Li F Abstract LC-MS-based metabolomics could have a major impact in the study of natural products, especially in its metabolism, toxicity and activity. This review highlights recent applications of metabolomics approach in the study of metabolites and toxicity of natural products, and the understanding of their effects on various diseases. Metabolomics has been employed to study the in vitro and in vivo metabolism of natural compounds, such as osthole, dehydrodiisoeugenol, and myrislignan. The pharmacological effects of natural compounds and extracts were determined using metabolomics technology combined with diseases models in animal, including osthole and nutmeg extracts. It has been demonstrated that metabolomics is a powerful technology for the investigation of xenobiotics-induced toxicity. The metabolism of triptolide and its hepatotoxicity were discussed. LC-MS-based metabolomics has a great potential in the druggability of natural products. The application of metabolomics should be broadened in the field of natural products in the future. PMID: 29959744 [PubMed - as supplied by publisher]

Overoptimism in cross-validation when using partial least squares-discriminant analysis for omics data: a systematic study. Anal Bioanal Chem. 2018 Jun 29;: Authors: Rodríguez-Pérez R, Fernández L, Marco S Abstract Advances in analytical instrumentation have provided the possibility of examining thousands of genes, peptides, or metabolites in parallel. However, the cost and time-consuming data acquisition process causes a generalized lack of samples. From a data analysis perspective, omics data are characterized by high dimensionality and small sample counts. In many scenarios, the analytical aim is to differentiate between two different conditions or classes combining an analytical method plus a tailored qualitative predictive model using available examples collected in a dataset. For this purpose, partial least squares-discriminant analysis (PLS-DA) is frequently employed in omics research. Recently, there has been growing concern about the uncritical use of this method, since it is prone to overfitting and may aggravate problems of false discoveries. In many applications involving a small number of subjects or samples, predictive model performance estimation is only based on cross-validation (CV) results with a strong preference for reporting results using leave one out (LOO). The combination of PLS-DA for high dimensionality data and small sample conditions, together with a weak validation methodology is a recipe for unreliable estimations of model performance. In this work, we present a systematic study about the impact of the dataset size, the dimensionality, and the CV technique used on PLS-DA overoptimism when performance estimation is done in cross-validation. Firstly, by using synthetic data generated from a same probability distribution and with assigned random binary labels, we have obtained a dataset where the true classification rate (CR) is 50%. As expected, our results confirm that internal validation provides overoptimistic estimations of the classification accuracy (i.e., overfitting). We have characterized the CR estimator in terms of bias and variance depending on the internal CV technique used and sample to dimensionality ratio. In small sample conditions, due to the large bias and variance of the estimator, the occurrence of extremely good CRs is common. We have found that overfitting peaks when the sample size in the training subset approaches the feature vector dimensionality minus one. In these conditions, the models are neither under- or overdetermined with a unique solution. This effect is particularly intense for LOO and peaks higher in small sample conditions. Overoptimism is decreased beyond this point where the abundance of noisy produces a regularization effect leading to less complex models. In terms of overfitting, our study ranks CV methods as follows: Bootstrap produces the most accurate estimator of the CR, followed by bootstrapped Latin partitions, random subsampling, K-Fold, and finally, the very popular LOO provides the worst results. Simulation results are further confirmed in real datasets from mass spectrometry and microarrays. PMID: 29959482 [PubMed - as supplied by publisher]

Exposure of Methicillin-Resistant Staphylococcus aureus to Low Levels of the Antibacterial THAM-3ΦG Generates a Small Colony Drug-Resistant Phenotype. Sci Rep. 2018 Jun 29;8(1):9850 Authors: Weaver AJ, Peters TR, Tripet B, Van Vuren A, Rakesh, Lee RE, Copié V, Teintze M Abstract This study investigated resistance against trishexylaminomelamine trisphenylguanide (THAM-3ΦG), a novel antibacterial compound with selective microbicidal activity against Staphylococcus aureus. Resistance development was examined by culturing methicillin resistant S. aureus (MRSA) with sub-lethal doses of THAM-3ΦG. This quickly resulted in the formation of normal (WT) and small colonies (SC) of S. aureus exhibiting minimal inhibitory concentrations (MICs) 2× and 4× greater than the original MIC. Continuous cell passaging with increasing concentrations of THAM-3ΦG resulted in an exclusively SC phenotype with MIC >64 mg/L. Nuclear magnetic resonance (NMR)-based metabolomics and multivariate statistical analysis revealed three distinct metabolic profiles for THAM-3ΦG treated WT, untreated WT, and SC (both treated and untreated). The metabolome patterns of the SC sample groups match those reported for other small colony variants (SCV) of S. aureus. Supplementation of the SCV with menadione resulted in almost complete recovery of growth rate. This auxotrophism was corroborated by NMR analysis revealing the absence of menaquinone production in the SCV. In conclusion, MRSA rapidly acquires resistance to THAM-3ΦG through selection of a slow-growing menaquinone auxotroph. This study highlights the importance of evaluating and monitoring resistance to novel antibacterials during development. PMID: 29959441 [PubMed - in process]

Increased nuclear DNA damage precedes mitochondrial dysfunction in peripheral blood mononuclear cells from Huntington's disease patients. Sci Rep. 2018 Jun 29;8(1):9817 Authors: Askeland G, Dosoudilova Z, Rodinova M, Klempir J, Liskova I, Kuśnierczyk A, Bjørås M, Nesse G, Klungland A, Hansikova H, Eide L Abstract Huntington's disease (HD) is a progressive neurodegenerative disorder primarily affecting the basal ganglia and is caused by expanded CAG repeats in the huntingtin gene. Except for CAG sizing, mitochondrial and nuclear DNA (mtDNA and nDNA) parameters have not yet proven to be representative biomarkers for disease and future therapy. Here, we identified a general suppression of genes associated with aerobic metabolism in peripheral blood mononuclear cells (PBMCs) from HD patients compared to controls. In HD, the complex II subunit SDHB was lowered although not sufficiently to affect complex II activity. Nevertheless, we found decreased level of factors associated with mitochondrial biogenesis and an associated dampening of the mitochondrial DNA damage frequency in HD, implying an early defect in mitochondrial activity. In contrast to mtDNA, nDNA from HD patients was four-fold more modified than controls and demonstrated that nDNA integrity is severely reduced in HD. Interestingly, the level of nDNA damage correlated inversely with the total functional capacity (TFC) score; an established functional score of HD. Our data show that PBMCs are a promising source to monitor HD progression and highlights nDNA damage and diverging mitochondrial and nuclear genome responses representing early cellular impairments in HD. PMID: 29959348 [PubMed - in process]

Supplementation with resveratrol as Polygonum cuspidatum Sieb. et Zucc. extract induces changes in the excretion of urinary markers associated to aging in rats. Fitoterapia. 2018 Jun 26;: Authors: Peron G, Dall'Acqua S, Sut S Abstract An UPLC-HR-MS metabolomics approach was used to study the effects of a 49-days oral supplementation with Polygonum cuspidatum extract in healthy rats. Multivariate analysis allowed to observe significant differences in the excretion of several markers between treated animals and control group. Among the others, the amounts of N-methyl-2-pyridone-5-carboxamide (2PY) and phenylacetylglycine (PAG) were reduced in the treated group compared to control. These compounds have been previously considered as markers of aging. Furthermore, the excretion of 3-hydroxysebacic acid and 4,6-dihydroxyquinoline was also changed following supplementation, although not significantly. Despite the relatively short time of treatment (7 weeks), the significant changes in the urinary levels of aging markers observed at day 49 suggests a potential role of this type of studies as a new approach in the evaluation of the anti-aging effects of plant extracts. PMID: 29959053 [PubMed - as supplied by publisher]

Partially 13C-labeled mouse tissue as reference for LC-MS based untargeted metabolomics. Anal Biochem. 2018 Jun 26;: Authors: Dethloff F, Bueschl C, Heumann H, Schuhmacher R, Turck CW Abstract The inclusion of stable isotope-labeled reference standards in the sample is an established method for the detection and relative quantification of metabolic features in untargeted metabolomics. In order to quantify as many metabolites as possible, the reference should ideally include the same metabolites in their stable isotope-labeled form as the sample under investigation. We present here an attempt to use partially 13C-labeled mouse material as internal standard for relative metabolite quantification of mouse and human samples in untargeted metabolomics. We fed mice for 14 days with a13C-labeled Ralstonia eutropha based diet. Tissue and blood amino acids from these mice showed 13C enrichment levels that ranged from 6% to 75%. We used MetExtract II software to automatically detect native and labeled peak pairs in an untargeted manner. In a dilution series and with the implementation of a correction factor, partially 13C-labeled mouse plasma resulted in accurate relative quantification of human plasma amino acids using liquid chromatography coupled to mass spectrometry, The coefficient of variation for the relative quantification is reduced from 27% without internal standard to 10% with inclusion of partially 13C-labeled internal standard. We anticipate the method to be of general use for the relative metabolite quantification of human specimens. PMID: 29958846 [PubMed - as supplied by publisher]