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In this study, changes in the textural properties, dielectric properties, cell wall polysaccharide content and microstructure of yellow peach blocks were investigated after osmotic dehydration (OD) treatment with binary/ternary osmotic solutions containing sucrose and maltitol. Meanwhile, changes in the soluble sugar content were determined by 1H nuclear magnetic resonance (1H NMR) spectroscopy. Our aim was to clarify the synergistic effect of maltitol and sucrose on improving the properties of yellow peach blocks during OD treatment. Compared to the control group, The hardness, chewiness and adhesiveness of yellow peach blocks treated with a ternary osmotic solution with a 1:4 ratio of sucrose to maltitol (SM14) were significantly reduced. OD resulted in a significant decrease in the impedance (Z) and effective resistance (Rs) as well as a significant increase in the electrostatic capacity (Cs) of yellow peach blocks, suggesting that OD could affect peach pulp cell properties by acting on cell wall polysaccharides. 1H NMR results showed that OD with ternary osmotic solutions significantly reduced the sucrose content in peach fruit block tissue; for the SM14 group, the signal intensity of sucrose and maltitol were 19 803.9 ± 156.00 and 54 934.9 ± 1 239.11, respectively. Meanwhile, the contents of water-soluble pectin (WSP) and CDTA-soluble pectin (CSP) in the SM14 group were increased to (26.63 ± 1.80) mg/g and (21.59 ± 0.71) mg/g, respectively, while the content of Na2CO3-soluble pectin (NSP) was decreased to (27.24 ± 0.46) mg/g compared to the control group. Microstructure analysis showed that round and relatively intact cells with low degree of collapse and a significant increase in cell wall thickness were observed in the SM14 group, demonstrating sucrose and maltitol synergistically protect peach pulp cells. Therefore, ternary osmotic solutions of sucrose maltitol could effectively ameliorate the quality deterioration of yellow peach blocks caused by binary osmotic solutions, broadening the application of sugar alcohol.

Drugs and drug metabolites containing a carboxylic-acid moiety can undergo in vivo conjugation to form 1-β-O-acyl-glucuronides (1-β-O-AGs). In addition to hydrolysis, these conjugates can undergo spontaneous acyl migration, and anomerisation reactions, resulting in a range of positional isomers. Facile transacylation has been suggested as a mechanism contributing to the toxicity of acyl glucuronides, with the kinetics of these processes thought to be a factor. Previous 1H NMR spectroscopic and HPLC-MS studies have been conducted to measure the degradation rates of the 1-β-O-AGs of three nonsteroidal anti-inflammatory drugs (ibufenac, R-ibuprofen, S-ibuprofen) and a dimethyl-analogue (termed here as "bibuprofen"). These studies have also determined the relative contributions of hydrolysis and acyl migration in both buffered aqueous solution, and human plasma. Here, a detailed kinetic analysis is reported, providing the individual rate constants for the acyl migration and hydrolysis reactions observed in buffer for each of the 4 AGs, together with the overall degradation rate constants of the parent 1-β-O-AGs. Computational modelling of the reactants and transition states of the transacylation reaction using density functional theory indicated differences in the activation energies that reflected the influence of both substitution and stereochemistry on the rate of transacylation/hydrolysis. [Display omitted] • 1H NMR spectroscopy was used to study NSAID 1-β-O-acyl glucuronide (AG) degradation. • Kinetic analysis gave rate constants for AG migration and AG hydrolysis/degradation constants. • In silico models gave equivalent 1-β-O-acyl glucuronide degradation rates to 1H NMR. • Activation energy rankings aligned with observed transacylation rates. • In silico models can identify structures prone to producing reactive acyl glucuronides. [ABSTRACT FROM AUTHOR]

Metabolomics is a novel approach with a huge potential to assess and reveal in a complex biological system altered metabolism produced in response to environmental stressors, diseases or exposure to toxicants. The high applicability of this approach is due to its ability to qualitatively and quantitatively characterize the chemical profile of all the low molecular weight metabolites (metabolome) present in cells, tissues, organs, and biological fluids as end products of the cellular regulatory pathways. Thus, providing a snapshot of the phenotype of a biological system, metabolomics offers useful contributions to a comprehensive insight into the functional status of human, animal, plant, and microbe organisms. One of the main analytical platforms employed in metabolomics is the Nuclear Magnetic Resonance (NMR) spectroscopy that, when linked with pattern recognition techniques and data mining tools, can provide an overview of the metabolic status of a complex biological system and comprehensive insights into important metabolic processes. Over the last decade, the number of scientific publications in the metabolomics area has increased exponentially. The literature analysis revealed metabolomics applications in a wide range of fields including medical, animal, plant, environmental and food sciences.

Abstract Background Septic shock is the most severe phase of sepsis and is associated with high rates of mortality. However, early stage prediction of septic shock outcomes remains difficult. Metabolomic techniques have emerged as a promising tool for improving prognosis. Methods Orthogonal projections to latent structures-discriminant analysis (OPLS-DA) models separating the serum metabolomes of survivors from those of non-survivors were established with samples obtained at the intensive care unit (ICU) admission (H0) and 24 h later (H24). For 51 patients with available H0 and H24 samples, multi-level modeling was performed to provide insight into different metabolic evolutions that occurred between H0 and H24 in the surviving and non-surviving patients. Relative quantification and receiver operational characteristic curves (ROC) were applied to estimate the predictability of key discriminatory metabolites for septic shock mortality. Results Metabolites that were involved in energy supply and protein breakdown were primarily responsible for differentiating survivors from non-survivors. This was not only seen in the H0 and H24 discriminatory models, but also in the H0-H24 paired models. Reanalysis of extra H0-H24 paired samples in the established multi-level model demonstrated good performance of the model for the classification of samplings. According to the ROC results, nine discriminatory metabolites defined consistently from the unpaired model and the H0-H24 time-trend change (ΔH24-H0) show good prediction of mortality. These results suggest that NMR-based metabolomic analysis is useful for a better overall assessment of septic shock patients. Conclusions Dysregulation of the metabolites identified by this study is associated with poor outcomes for septic shock. Evaluation of these compounds during the first 24 h after ICU admission in the septic shock patient may be helpful for estimating the severity of cases and for predicting outcomes. Trial registration All human serum samples were collected and stored, provided by the “center of biologic resources for liver disease”, in Jean Verdier Hospital, Bondy, France (BB-0033-00027).

Graphical abstract Highlights • 1H NMR was used as a screening tool for metabolic dysfunction in OSF. • 1H NMR was used to distinguish the serum metabolic signatures. • Significant alteration indicated deregulation in metabolic pathways. Abstract Objective To delineate the metabolism involved in oral submucous fibrosis progression towards carcinogenesis by 1H nuclear magnetic resonance spectroscopy. Methods The proposed study was designed using 1H-NMR by comparing the metabolites in the serum sample of oral submucous fibrosis (n = 20) compared to the normal group (n = 20) using 1H nuclear magnetic resonance spectroscopy. Various statistical analysis like multivariate statistical analysis, Principle component analysis, Partial least squares Discriminant Analysis, Hierarchical cluster analysis was applied to analyze potential serum metabolites. Results The results generated from the principle component analysis, partial least squares discriminant analysis and hierarchical cluster analysis are sufficient to distinguish between oral submucous fibrosis group and normal group. A total of 15 significant metabolites associated with main pathways were identified, which correlated with the progression of cancer. Up-regulation of glucose metabolism-related metabolites indicated the high energy demand due to enhanced cell division rate in the oral submucous fibrosis group. A significant increase in lipid metabolism-related metabolites revealed the reprogramming of the fatty acids metabolic pathway to fulfilling the need for cell membrane formation in cancer cells. On the other hand, metabolites related to choline phosphocholine, the metabolic pathway was also altered. Conclusion Our findings could identify the differentiating metabolites in the oral submucous fibrosis group. Significant alteration in metabolites in the oral submucous fibrosis group exhibited deregulation in metabolic events. The findings reported in the study can be beneficial to further explain the molecular aspects that lead to the progression of oral submucous fibrosis towards carcinogenesis. [ABSTRACT FROM AUTHOR]

Abstract 1H Nuclear Magnetic Resonance spectroscopy (1H NMR) is increasingly used to measure metabolite concentrations in sets of biological samples for top‐down systems biology and molecular epidemiology. For such purposes, knowledge of the sources of human variation in metabolite concentrations is valuable, but currently sparse. We conducted and analysed a study to create such a resource. In our unique design, identical and non‐identical twin pairs donated plasma and urine samples longitudinally. We acquired 1H NMR spectra on the samples, and statistically decomposed variation in metabolite concentration into familial (genetic and common‐environmental), individual‐environmental, and longitudinally unstable components. We estimate that stable variation, comprising familial and individual‐environmental factors, accounts on average for 60% (plasma) and 47% (urine) of biological variation in 1H NMR‐detectable metabolite concentrations. Clinically predictive metabolic variation is likely nested within this stable component, so our results have implications for the effective design of biomarker‐discovery studies. We provide a power‐calculation method which reveals that sample sizes of a few thousand should offer sufficient statistical precision to detect 1H NMR‐based biomarkers quantifying predisposition to disease.

ABSTRACT Osteoarthritis (OA) is a leading cause of chronic joint pain in the older human population. Diagnosis of OA at an earlier stage may enable the development of new treatments to one day effectively modify the progression and prognosis of the disease. In this work, we explore whether an integrated metabolomics approach could be utilized for the diagnosis of OA. Synovial fluid (SF) samples were collected from symptomatic chronic knee OA patients and normal human cadaveric knee joints. The samples were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy and gas chromatography-mass spectrometry (GC-MS) followed by multivariate statistical analysis. Based on the metabolic profiles, we were able to distinguish OA patients from the controls and validate the statistical models. Moreover, we have integrated the 1H NMR and GC-MS results and we found that 11 metabolites were statistically important for the separation between OA and normal SF. Additionally, statistical analysis showed an excellent predictive ability of the constructed metabolomics model (area under the receiver operating characteristic curve = 1.0). Our findings indicate that metabolomics might serve as a promising approach for the diagnosis and prognosis of degenerative changes in the knee joint and should be further validated in clinical settings. © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 33:1631-1638, 2015. [ABSTRACT FROM AUTHOR]

Chamaecyparis obtusa and Chamaecyparis pisifera are cypress species native to and widely distributed in Japan and South Korea that belong to the Cupressaceae family. Various pharmacological properties that have been identified in these species could be useful in the development of medicinal products, and the ability to differentiate these two species has become essential due to their different specific pharmacological properties. Metabolic analysis using 1H nuclear magnetic resonance spectroscopy coupled with multivariate statistical techniques was performed to elucidate the differences between C. obtusa and C. pisifera leaves. An optimized partial least-squares discriminant analysis ( PLS-DA) model for their discrimination was obtained by selecting variables based on a cutoff for their importance in the projection value of 1.1. The following 24 compounds were profiled and compared between C. obtusa and C. pisifera leaves: 2-hydroxyisobutyrate, acetate, catechin, choline, glucose, betaine, malonate, 4-hydroxyphenylacetate, homovanillate, fructose, 5-hydroxyindoleacetate, glycine, sucrose, glycolate, tartrate, 3,4-dihydroxymandelate, uracil, myricetin, fumarate, 4-hydroxybenzoate, protocatechuate, cinnamate, hypoxanthine, and formate. The key compounds contributing to the discrimination of the two leaf types were found to be acetate, homovanillate, protocatechuate, sucrose, catechin, formate, 2-hydroxyisobutyrate, and hypoxanthine. [ABSTRACT FROM AUTHOR]

ABSTRACT Joint injuries and subsequent osteoarthritis (OA) are the leading causes of chronic joint disease. In this work, we explore the possibility of applying magnetic resonance spectroscopy-based metabolomics to detect host responses to an anterior cruciate ligament (ACL) reconstruction injury in synovial fluid in an ovine model. Using multivariate statistical analysis, we were able to distinguish post-injury joint samples (ACL and sham surgery) from the uninjured control samples, and as well the ACL surgical samples from sham surgery. In all samples there were 65 metabolites quantified, of which six could be suggested as biomarkers for early post-injury degenerative changes in the knee joints: isobutyrate, glucose, hydroxyproline, asparagine, serine, and uridine. Our results raise a cautionary note indicating that surgical interventions into the knee can result in metabolic alterations that need to be distinguished from those caused by the early onset of OA. Our findings illustrate the potential application of metabolomics as a diagnostic and prognostic tool for detection of injuries to the knee joint. The ability to detect a unique pattern of metabolic changes in the synovial fluid of sheep offers the possibility of extending the approach to precision medicine protocols in patient populations in the future. © 2014 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 33:71-77, 2015. [ABSTRACT FROM AUTHOR]

Objectives Preparations containing saw palmetto berries are used in the treatment of benign prostatic hyperplasia ( BPH). There are many products on the market, and relatively little is known about their chemical variability and specifically the composition and quality of different saw palmetto products notwithstanding that in 2000, an international consultation paper from the major urological associations from the five continents on treatments for BPH demanded further research on this topic. Here, we compare two analytical approaches and characterise 57 different saw palmetto products. Methods An established method - gas chromatography - was used for the quantification of nine fatty acids, while a novel approach of metabolomic profiling using 1 H nuclear magnetic resonance ( NMR) spectroscopy was used as a fingerprinting tool to assess the overall composition of the extracts. Key findings The phytochemical analysis determining the fatty acids showed a high level of heterogeneity of the different products in the total amount and of nine single fatty acids. A robust and reproducible 1 H NMR spectroscopy method was established, and the results showed that it was possible to statistically differentiate between saw palmetto products that had been extracted under different conditions but not between products that used a similar extraction method. Principal component analysis was able to determine those products that had significantly different metabolites. Conclusions The metabolomic approach developed offers novel opportunities for quality control along the value chain of saw palmetto and needs to be followed further, as with this method, the complexity of a herbal extract can be better assessed than with the analysis of a single group of constituents. [ABSTRACT FROM AUTHOR]

Breast cancer incidence is increasing worldwide. Early detection is critical for long-term patient survival, as is monitoring responses to chemotherapy for management of the disease. Magnetic resonance imaging and spectroscopy (MRI/MRS) has gained in importance in the last decade for the diagnosis and monitoring of breast cancer therapy. The sensitivity of MRI/MRS for anatomical delineation is very high and the consensus is that MRI is more sensitive in detection than x-ray mammography. Advantages of MRS include delivery of biochemical information about tumor metabolism, which can potentially assist in the staging of cancers and monitoring responses to treatment. The roles of MRS and MRI in screening and monitoring responses to treatment of breast cancer are reviewed here. We rationalize how it is that different histological types of breast cancer are differentially detected and characterized by MR methods. [ABSTRACT FROM AUTHOR]

Staphylococcus aureus is a major pathogen in the medical area and food-producing sector. Detailed analyses of its basic cell physiology will help comprehensively understand this pathogen, which will be useful for developing novel diagnostic and treatment tools. Oxygen is one of the most crucial growth-limiting factors for S. aureus. In this study, to characterize and distinguish metabolic profiles of S. aureus cultivated under aerobic and anaerobic conditions, nontargeted analyses of both types of cultures were carried out using 1H nuclear magnetic resonance spectroscopy. Fifty compounds were identified by Chenomx software. Characteristics of metabolic profiles were achieved by using principal components analysis. During aerobic growth, S. aureus mainly consumed glucose, alanine, arginine, glycine, isoleucine, leucine, phenylalanine, and acetate. Meanwhile, it accumulated 17 metabolites, mainly 2-oxoglutarate, isobutyrate, isovalerate, succinate, and ethanol. Under anaerobic condition, S. aureus mainly consumed glucose, arginine, and threonine. Meanwhile, it accumulated 13 metabolites, mainly ethanol, lactate, and ornithine. The representative metabolites that could most significantly differentiate metabolic profiles of S. aureus were isobutyrate, isovalerate, and succinate in aerobic cultivation; and lactate, ethanol, and ornithine in anaerobic cultivation. Among these metabolites, isobutyrate and ornithine were present only in aerobic and anaerobic culture, respectively. [ABSTRACT FROM AUTHOR]

Background: The impact of peanut allergy is large and accidental ingestion of peanut can lead to severe reactions. Currently used diagnostic tests, such as skin prick tests (SPT) and determination of specific immunoglobulins (IgE) have, however, limited sensitivity and specificity. Therefore, new tools have to be developed to improve the accuracy of the diagnostic work-up of food-allergic patients. Comprehensive metabolite analysis may provide biomarkers for diagnosing food allergy as metabolite levels reflect actual physiological conditions. We investigated whether metabolites can be found that discriminate between peanut-allergic patients and non-peanut-allergic subjects. Such metabolites may be used for future diagnostic purposes. Methods: Plasma and saliva samples were obtained from 23 participants (12 peanut allergic and 11 peanut tolerant) prior to and after a peanut challenge and measured with 1H nuclear magnetic resonance (NMR) spectroscopy with subsequent multivariate data analysis. Results: Clear differences were observed between NMR spectra of peanut-allergic and peanut-tolerant subjects in plasma as well as saliva. Allergic patients already showed aberrant metabolite levels prior to peanut ingestion, thus before the onset of allergic reactions. Conclusion: This pilot study shows that aberrant metabolite levels as determined by NMR in combination with multivariate statistics may serve as novel biomarkers for food allergy. Copyright © 2010 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

1H Nuclear Magnetic Resonance spectroscopy (1H NMR) is increasingly used to measure metabolite concentrations in sets of biological samples for top‐down systems biology and molecular epidemiology. For such purposes, knowledge of the sources of human variation in metabolite concentrations is valuable, but currently sparse. We conducted and analysed a study to create such a resource. In our unique design, identical and non‐identical twin pairs donated plasma and urine samples longitudinally. We acquired 1H NMR spectra on the samples, and statistically decomposed variation in metabolite concentration into familial (genetic and common‐environmental), individual‐environmental, and longitudinally unstable components. We estimate that stable variation, comprising familial and individual‐environmental factors, accounts on average for 60% (plasma) and 47% (urine) of biological variation in 1H NMR‐detectable metabolite concentrations. Clinically predictive metabolic variation is likely nested within this stable component, so our results have implications for the effective design of biomarker‐discovery studies. We provide a power‐calculation method which reveals that sample sizes of a few thousand should offer sufficient statistical precision to detect 1H NMR‐based biomarkers quantifying predisposition to disease. [ABSTRACT FROM AUTHOR]

Abstract: High resolution 1H NMR spectroscopy has been employed as a versatile and rapid method to analyze the polar fraction of extra virgin olive oils containing various classes of phenolic compounds. The strategy for identification of phenolic compounds is based on the NMR chemical shifts of a large number of model compounds assigned by using two-dimensional (2D) NMR spectroscopy. Furthermore, 2D NMR was applied to phenolic extracts in an attempt to discover additional phenolic compounds. The 1H NMR methodology was successful in detecting simple phenols, such as p-coumaric acid, vanillic acid, homovanillyl alcohol, vanillin, free tyrosol, and free hydroxytyrosol, the flavonols apigenin and luteolin, the lignans (+) pinoresinol, (+) 1-acetoxypinoresinol and syringaresinol, two isomers of the aldehydic form of oleuropein and ligstroside, the dialdehydic form of oleuropein and ligstroside lacking a carboxymethyl group, and finally total hydroxytyrosol and total tyrosol reflecting the total amounts of free and esterified hydroxytyrol and tyrosol, respectively. The absolute amount of each phenolic constituent was determined in the polar fraction by using anhydrous 1,3,5-triazine as an internal standard. [Copyright &y& Elsevier]

Parkinson’s disease is a neurodegenerative disorder characterized by the progressive loss of the dopaminergic neurons in the substantia nigra pars compacta, which project to the striatum. The aim of this study was to analyze in vivo and in vitro consequences of dopamine depletion on amount of metabolites in a mouse model of Parkinson’s disease using proton 1H magnetic resonance spectroscopy (MRS). The study was performed on control mice ( n = 7) and MPTP-intoxicated mice ( n = 7). All the experiments were performed at 9.4 T. For in vivo MRS acquisitions, mice were anesthetized and carefully placed on an animal handling system with the head centered in birdcage coil used for both excitation and signal reception. Spectra were acquired in a voxel (8 μL) centered in the striatum, applying a point-resolved spectroscopy sequence (TR = 4000 ms, TE = 8.8 ms). After in vivo MRS acquisitions, mice were killed; successful lesion verified by tyrosine hydroxylase immunolabeling on the substantia nigra pars compacta and in vitro MRS acquisitions performed on perchloric extracts of anterior part of mice brains. In vitro spectra were acquired using a standard one-pulse experiment. The absolute concentrations of metabolites were determined usingjmrui (Lyon, France) from 1H spectra obtained in vivo on striatum and in vitro on perchloric extracts. Glutamate (Glu), glutamine (Gln), and GABA concentrations obtained in vivo were significantly increased in striatum of MPTP-lesioned mice (Glu: 15.5 ± 2.5 vs. 12.9 ± 1.0 mmol/L, p < 0.05; Gln: 2.3 ± 0.9 vs. 1.8 ± 0.6 mmol/L, p < 0.05; GABA: 2.3 ± 0.9 vs. 1.3 ± 0.6 mmol/L, p < 0.05). The in vitro results confirmed these results, Glu (10.9 ± 2.5 vs. 7.9 ± 1.7 μmol/g, p < 0.05), Gln (6.8 ± 2.9 vs. 4.3 ± 1.0 μmol/g, p < 0.05), and GABA (2.9 ± 0.9 vs. 1.5 ± 0.4 μmol/g, p < 0.01). The present study strongly supports a hyperactivity of the glutamatergic cortico-striatal pathway hypothesis after dopaminergic denervation in association with an increase of striatal GABA levels. It further shows an increased of striatal Gln concentrations, perhaps as a strategy to protect neurons from Glu excitotoxic injury after striatal dopamine depletion. [ABSTRACT FROM AUTHOR]

Purpose: To assess the relation between seizure control and brain homocarnosine and γ-aminobutyric acid (GABA) levels of patients with complex partial seizures taking gabapentin (GBP) or topiramate (TPM) as adjunctive therapy. Methods: In vivo measurements of GABA and homocarnosine were made of a 14-cc volume in the occipital cortex by using 1H spectroscopy with a 2.1-Tesla magnetic resonance spectrometer and an 8-cm surface coil. Poor seizure control was defined as more recent seizures than the median for the two groups of patients studied. Results: Homocarnosine levels were higher in patients with better seizure control than in those with poor control. No differences were found in the intracellular GABA levels between the patients who responded to GBP or TPM compared with those who did not. Conclusions: In the visual neocortex, which is remote from the presumed seizure-onset zone, higher homocarnosine levels were associated with better seizure control in the patients taking GBP or TPM as adjunctive therapy; elevated intracellular GABA levels appeared to offer no additional protection. [ABSTRACT FROM AUTHOR]

Proton MR spectra of a healthy human prostatic gland show a major signal for citrate appearing as an AB-type multiplet. After application of multipulse localization sequences, the outer lines of this multiplet often appear with dispersion line shapes disturbing the baseline and interfering with proper quantification of citrate itself and other nearby resonances. Based upon analytical descriptions of the time evaluation of an AB spin system during a point resolved spectroscopy (PRESS) pulse sequence (90x-τ1,-180y-τ2-180y-t), equations were derived representing the intensity of the absorption and dispersion line shape of the outer lines of the citrate multiplet at the top of echo t=τ2-τ1. From these equations, it was calculated that the outer lines of citrate can be removed almost completely using a PRESS pulse sequence with τ1=11 ms and τ2=60 ms. The theoretical description was confirmed by the almost complete disappearance of the two outer citrate resonances in in vitro and in vivo proton MR spectra acquired with this pulse sequence timing. [ABSTRACT FROM AUTHOR]

Objective: This study intends to explore the mechanism underlying the support of sortase A (SrtA) of the cariogenicity of Streptococcus mutans (S. mutans)., Methods: We performed a metabonomics study based on ¹H nuclear magnetic resonance spectroscopy (NMR), in which we compared the extracellular metabolites of wild-type S. mutans UA159 with those of its SrtA-deficient strain. Metabolite differences among strains were identified using a combination of principal component analysis and orthogonality partial least square discriminant analysis., Results: Several differences corresponding mostly to unknown metabolites were identified. Some amino acids such as leucine and valine (δ 0.92×10⁻⁶-1.20×10⁻⁶), lactic acid ( δ1.28×10⁻⁶), oxoglutaric acid (δ 3.00×10⁻⁶), and glycine (δ 3.60×10⁻⁶) differed among strains., Conclusions: This work establishes the feasibility of using ¹H NMR-based metabonomics to provide leads for research into molecular factors that promote caries. The database of microbial metabolites should be also improved in further studies.

The risk of developing post-traumatic osteoarthritis (PTOA) following joint injury is high. Furthering our understanding of the molecular mechanisms underlying PTOA and/or identifying novel biomarkers for early detection may help to improve treatment outcomes. Increased expression of integrin α1β1 and inhibition of epidermal growth factor receptor (EGFR) signaling protect the knee from spontaneous OA; however, the impact of the integrin α1β1/EGFR axis on PTOA is currently unknown. We sought to determine metabolic changes in serum samples collected from wild-type and integrin α1-null mice that underwent surgery to destabilize the medial meniscus and were treated with the EGFR inhibitor erlotinib. Following (1)H nuclear magnetic resonance spectroscopy, we generated multivariate statistical models that distinguished between the metabolic profiles of erlotinib- versus vehicle-treated mice and the integrin α1-null versus wild-type mouse genotype. Our results show the sex-dependent effects of erlotinib treatment and highlight glutamine as a metabolite that counteracts this treatment. Furthermore, we identified a set of metabolites associated with increased reactive oxygen species production, susceptibility to OA, and regulation of TRP channels in α1-null mice. Our study indicates that systemic pharmacological and genetic factors have a greater effect on serum metabolic profiles than site-specific factors such as surgery.

Objectives: Preparations containing saw palmetto berries are used in the treatment of benign prostatic hyperplasia (BPH). There are many products on the market, and relatively little is known about their chemical variability and specifically the composition and quality of different saw palmetto products notwithstanding that in 2000, an international consultation paper from the major urological associations from the five continents on treatments for BPH demanded further research on this topic. Here, we compare two analytical approaches and characterise 57 different saw palmetto products., Methods: An established method - gas chromatography - was used for the quantification of nine fatty acids, while a novel approach of metabolomic profiling using (1) H nuclear magnetic resonance (NMR) spectroscopy was used as a fingerprinting tool to assess the overall composition of the extracts., Key Findings: The phytochemical analysis determining the fatty acids showed a high level of heterogeneity of the different products in the total amount and of nine single fatty acids. A robust and reproducible (1) H NMR spectroscopy method was established, and the results showed that it was possible to statistically differentiate between saw palmetto products that had been extracted under different conditions but not between products that used a similar extraction method. Principal component analysis was able to determine those products that had significantly different metabolites., Conclusions: The metabolomic approach developed offers novel opportunities for quality control along the value chain of saw palmetto and needs to be followed further, as with this method, the complexity of a herbal extract can be better assessed than with the analysis of a single group of constituents., (© 2014 The Authors. Journal of Pharmacy and Pharmacology published by John Wiley & Sons Ltd on behalf of Royal Pharmaceutical Society.)