Cinnamon (Cinnamomum spp.) is used as a culinary spice and dietary supplement. A major constituent, cinnamaldehyde, was previously shown to inactivate cytochrome P450 (CYP) 2A6 in vitro. A mechanistic static model predicted an ~5-fold increase in the AUC of the CYP2A6 substrates nicotine and letrozole. Accordingly, the effects of a well-characterized cinnamon (Cinnamomum verum) product on the pharmacokinetics of nicotine and letrozole were evaluated in 16 healthy, non-nicotine using adults. They were administered a single dose of nicotine gum (2 mg) or letrozole tablet (2.5 mg) (baseline). After a sufficient washout (2-14 days), they self-administered C. verum (2 g thrice daily) for 5 consecutive days. On Day 6, they were administered C. verum with nicotine or letrozole, followed by two more doses of C. verum (cinnamon exposure). Plasma was collected from 0 to 12 (nicotine) or 0-240 (letrozole) hours. The geometric mean plasma concentration vs. time profile for both drugs was nearly superimposable in the presence vs. absence of C. verum. The geometric mean ratio (GMR) [90% confidence interval] of the AUC of nicotine and letrozole in the presence to absence of cinnamon was 0.98 [0.96-1.12] and 1.11 [0.98-1.24], respectively (P > 0.16), indicating no interactions. Application of the "slope approach" involving the 3-hydroxycotinine-to-cotinine ratio provided potential new mechanistic insight into CYP2A6 inhibition. The general lack of effect of a typical dosage of C. verum on the pharmacokinetics of nicotine and letrozole suggests that C. verum may be safe to consume with both drugs, as well as other CYP2A6 substrates.

Many existing mass spectral libraries focus on human or microbially derived molecules. Few plant-specific MS2 databases exist, making annotation of botanical samples difficult. To fill this gap in mass spectrometry data availability, the Library Enabling Annotation of Botanical Natural Products (LEAFBot) was constructed. Using a flow injection mass spectrometry method that allowed for rapid throughput data collection, the MS2 spectra of >300 pure botanical secondary metabolites were experimentally measured and complied into a single library housed in the Global Natural Products Social Molecular Networking (GNPS) spectral database. Of these compounds, over 20% were not present in the existing GNPS database, and 11% were not present in any of three main mass spectral databases (GNPS, Metlin, and MassBank). Additionally, LEAFBot contains a wider range of adducts compared to other plant-based mass spectral libraries, enabling more effective annotation of unknown features. The LEAFBot database represents a new resource to the mass spectrometry and metabolomics community seeking to characterize plant-based samples. The possibility of searching against a taxonomically specific library decreases the likelihood of false positives in database searches, and the ease of adding new spectra, following procedures outlined herein, will enable community-lead expansion of the database.

Beetroot (Beta vulgaris L.) is known for being a rich source of phytochemicals, minerals and vitamins. This study aims to show how the combination of extraction/chromatography/mass spectrometry and NMR offers an efficient way to profile metabolites in the extracts of beetroot. Such combination may lead to the identification of more nutritional or medicinal compounds in natural products, and it is essential for our ongoing investigation to study the selective adsorption/desorption of these metabolites' on/off nanoparticles. The aqueous and organic extracts underwent analyses using UV-vis spectroscopy; GC-MS; LC-MS; 1H, 13C, 31P, TOCSY, HSQC, and selective TOCSY NMR experiments. Polar Extract: The two forms of betalain pigment were identified by UV-vis and LC MS. Fourteen amino acids, sucrose, and other compounds, among which is riboflavin, were identified by LC-MS. Two-dimensional TOCSY showed the spin coupling correlations corresponding to some of these compounds. The HSQC spectrum showed 1H/13C spin correlation in sucrose, confirming its high abundance in beetroot. Organic Extract: GC-MS data enabled the identification of several compounds including six fatty acid methyl esters (FAME) with higher than, on average, 90% similarity score. Selective TOCSY NMR data showed the spin coupling pattern corresponding to oleic, linoleic, and linolenic fatty acids. 31P NMR spectra indicate that phospholipids exist in both the organic and aqueous phase.

Botanical natural products have been widely consumed for their purported usefulness against COVID-19. Here, six botanical species from multiple sources and 173 isolated natural product compounds were screened for blockade of wild-type (WT) SARS-CoV-2 infection in human 293T epithelial cells overexpressing ACE-2 and TMPRSS2 protease (293TAT). Antiviral activity was demonstrated by an extract from Stephania tetrandra. Extract fractionation, liquid chromatography-mass spectrometry (LC-MS), antiviral assays, and computational analyses revealed that the alkaloid fraction and purified alkaloids tetrandrine, fangchinoline, and cepharanthine inhibited WT SARS-CoV-2 infection. The alkaloids and alkaloid fraction also inhibited the delta variant of concern but not WT SARS-CoV-2 in VeroAT cells. Membrane permeability assays demonstrate that the alkaloids are biologically available, although fangchinoline showed lower permeability than tetrandrine. At high concentrations, the extract, alkaloid fractions, and pure alkaloids induced phospholipidosis in 293TAT cells and less so in VeroAT cells. Gene expression profiling during virus infection suggested that alkaloid fraction and tetrandrine displayed similar effects on cellular gene expression and pathways, while fangchinoline showed distinct effects on cells. Our study demonstrates a multifaceted approach to systematically investigate the diverse activities conferred by complex botanical mixtures, their cell-context specificity, and their pleiotropic effects on biological systems.

Glioblastoma Multiforme (GBM) represents one of the most aggressive and metastatic brain tumors, with a dismal success rate of less than three percent after five years, particularly in tumors with active immune checkpoints. This necessitates the development of targeted endogenous agents for precise GBM treatment. Previous experiments utilizing Chemovar Specific Cannabis Extractions (CSCEs), fractionated with polar solvents and quantified using Liquid and Gas Column Chromatography combined with Mass Spectrometry (LC/GCMS), have shown reduced viability and motility in human GBM cell lines. However, the complexity of the botanical substance has hindered the personalization of standard cannabis medicines for GBM due to unknown synergistic effects of multiple compounds. To address this limitation, our study focuses on exposing AM251 cells to chemovar fractions extracted using a non-polar solvent, thereby isolating a broader spectrum of constituents. By employing LC/GCMS in conjunction with Nuclear Magnetic Resonance (NMR), we have identified and quantified nine* compounds present in the non-polar CSCE that exhibit significant efficacy (0.1 μM) in inducing cytotoxicity* in GBM tumor cells. Conversely, the polar fraction in our experiment did not demonstrate efficacy against UM251 cells. The quantification of individual compounds within a cannabis extraction that selectively induces cell death in brain tumors holds promise for guiding future research and facilitating the development of a standardized CSCE for GBM therapy.

Mass spectrometry metabolomics has become increasingly popular as an integral aspect of studies to identify active compounds from natural product mixtures. Classical metabolomics data analysis approaches do not consider the possibility that interactions (such as synergy) could occur between mixture components. With this study, we developed "interaction metabolomics" to overcome this limitation. The innovation of interaction metabolomics is the inclusion of compound interaction terms (CITs), which are calculated as the product of the intensities of each pair of features (detected ions) in the data matrix. Herein, we tested the utility of interaction metabolomics by spiking known concentrations of an antimicrobial compound (berberine) and a synergist (piperine) into a set of inactive matrices. We measured the antimicrobial activity for each of the resulting mixtures against Staphylococcus aureus and analyzed the mixtures with liquid chromatography coupled to high-resolution mass spectrometry. When the data set was processed without CITs (classical metabolomics), statistical analysis yielded a pattern of false positives. However, interaction metabolomics correctly identified berberine and piperine as the compounds responsible for the synergistic activity. To further validate the interaction metabolomics approach, we prepared mixtures from extracts of goldenseal (Hydrastis canadensis) and habañero pepper (Capsicum chinense) and correctly correlated synergistic activity of these mixtures to the combined action of berberine and several capsaicinoids. Our results demonstrate the utility of a conceptually new approach for identifying synergists in mixtures that may be useful for applications in natural products research and other research areas that require comprehensive mixture analysis.

Due to the emergence of resistance, the World Health Organization considers Gram-negative pathogen Acine-tobacter baumannii a top priority for therapeutic development. Using this priority pathogen and a phenotypic, agar plate-based assay, a unique library of extracts from 2500 diverse fungi was screened for antimicrobial activity against a highly virulent, drug-resistant strain of A. baumannii (AB5075). The most potent hit from this screen was an extract from the fungus Tolypocladium sp., which was found to produce pyridoxatin. Another active extract from the fungus Trichoderma deliquescens was characterized and yielded trichokonin VII and trichokonin VIII. Evaluation of pyridoxatin against A. baumannii (AB5075) in a broth microdilution assay revealed a mini-mum inhibitory concentration (MIC) of 38 mu M, compared to the known antibiotic levofloxacin with MIC of 28 mu M. Mass spectrometry, Marfey's analysis and nuclear magnetic resonance spectroscopy analyses confirmed the structures of trichokonins VII and VIII to be consistent with previous reports. In an in vivo Galleria mellonella model, pyridoxatin tested at 150 mg/kg exhibited minimal toxicity (90% survival) and promising antimicrobial efficacy (50% survival) after 5 days. Trichokonins VII and VIII tested at 150 mg/kg were toxic to G. mellonella , with 20% survival and 40% survival after 5 days, respectively. The findings of this project suggest that pyr-idoxatin may serve as a lead compound for the development of antimicrobials against A. baumannii. They also demonstrate the value of the phenotypic screening approach employed herein.

Associations between dietary selenium status and the clinical outcome of many viral infections, including SARS-CoV-2, are well established. Multiple independent studies have documented a significant inverse correlation between selenium status and the incidence and mortality of COVID-19. At the molecular level, SARS-CoV-2 infection has been shown to decrease the expression of certain selenoproteins, both in vitro and in COVID-19 patients. Using computational methods, our group previously identified a set of six host proteins that contain potential SARS-CoV-2 main protease (M-pro) cleavage sites. Here we show experimentally that M-pro can cleave four of the six predicted target sites, including those from three selenoproteins: thioredoxin reductase 1 (TXNRD1), selenoprotein F, and selenoprotein P, as well as the rate-limiting enzyme in glutathione synthesis, glutamate-cysteine ligase catalytic subunit (GCLC). Cleavage was assessed by incubating recombinant SARS-CoV-2 M-pro with synthetic peptides spanning the proposed cleavage sites, and analyzing the products via UPLC-MS. Furthermore, upon incubation of a recombinant Sec498Ser mutant of the full TXNRD1 protein with SARS-CoV-2 M-pro, the predicted cleavage was observed, destroying the TXNRD1 C-terminal redox center. Mechanistically, proteolytic knockdown of both TXNRD1 and GCLC is consistent with a viral strategy to inhibit DNA synthesis, conserving the pool of ribonucleotides for increased virion production. Viral infectivity could also be enhanced by GCLC knockdown, given the ability of glutathione to disrupt the structure of the viral spike protein via disulfide bond reduction. These findings shed new light on the importance of dietary factors like selenium and glutathione in COVID-19 prevention and treatment.

Untargeted mass spectrometry (MS) metabolomics is an increasingly popular approach for characterizing complex mixtures. Recent studies have highlighted the impact of data preprocessing for determining the quality of metabolomics data analysis. The first step in data processing with untargeted metabolomics requires that signal thresholds be selected for which features (detected ions) are included in the dataset. Analysts face the challenge of knowing where to set these thresholds; setting them too high could mean missing relevant features, but setting them too low could result in a complex and unwieldy dataset. This study compared data interpretation for an example metabolomics dataset when intensity thresholds were set at a range of feature heights. The main observations were that low signal thresholds (1) improved the limit of detection, (2) increased the number of features detected with an associated isotope pattern and/or an MS-MS fragmentation spectrum, and (3) increased the number of in-source clusters and fragments detected for known analytes of interest. When the settings of parameters differing in intensities were applied on a set of 39 samples to discriminate the samples through principal component analyses (PCA), similar results were obtained with both low- and high-intensity thresholds. We conclude that the most information-rich datasets can be obtained by setting low-intensity thresholds. However, in the cases where only a qualitative comparison of samples with PCA is to be performed, it may be sufficient to set high thresholds and thereby reduce the complexity of the data processing and amount of computational time required.

Plants have a long history of use for their medicinal properties. The complexity of botanical extracts presents unique challenges and necessitates the application of innovative approaches to correctly identify and quantify bioactive compounds. For this study, we used untargeted metabolomics to explore the antimicrobial activity of Rumex crispus (yellow dock), a member of the Polygonaceae family used as an herbal remedy for bacterial infections. Ultra-performance liquid chromatography coupled with high resolution mass-spectrometry (UPLC-MS) was used to identify and quantify the known antimicrobial compound emodin. In addition, we used biochemometric approaches to integrate data measuring antimicrobial activity from R. crispus root starting material and fractions against methicillin-resistant Staphylococcus aureus (MRSA) with UPLC-MS data. Our results support the hypothesis that multiple constituents, including the anthraquinone emodin, contribute to the antimicrobial activity of R. crispus against MRSA.

The opportunistic pathogen Staphylococcus aureus accounts for the majority of all skin and soft tissue infections in the United States and infects 30–100% of atopic dermatitis (AD) lesions ( Geoghegan et al., 2018 Geoghegan J.A. Irvine A.D. Foster T.J. Staphylococcus aureus and atopic dermatitis: a complex and evolving relationship. Trends Microbiol. 2018; 26: 484-497 Abstract Full Text Full Text PDF PubMed Scopus (242) Google Scholar ; Parlet et al., 2019 Parlet C.P. Brown M.M. Horswill A.R. Commensal staphylococci influence Staphylococcus aureus skin colonization and disease. Trends Microbiol. 2019; 27: 497-507 Abstract Full Text Full Text PDF PubMed Scopus (96) Google Scholar ). Conversely, S. aureus only transiently colonizes healthy skin, suggesting that this pathogen may be actively excluded from this environment ( Geoghegan et al., 2018 Geoghegan J.A. Irvine A.D. Foster T.J. Staphylococcus aureus and atopic dermatitis: a complex and evolving relationship. Trends Microbiol. 2018; 26: 484-497 Abstract Full Text Full Text PDF PubMed Scopus (242) Google Scholar ). Healthy human skin is home to a diverse community of normal flora, including the coagulase-negative staphylococci (CoNS), and many CoNS directly compete with S. aureus through a variety of mechanisms to maintain skin homeostasis and colonization resistance ( Parlet et al., 2019 Parlet C.P. Brown M.M. Horswill A.R. Commensal staphylococci influence Staphylococcus aureus skin colonization and disease. Trends Microbiol. 2019; 27: 497-507 Abstract Full Text Full Text PDF PubMed Scopus (96) Google Scholar ).

Managed honey bee colonies used for crop pollination are fed artificial diets to offset nutritional deficiencies related to land-use intensification and climate change. In this study, we formulated novel microalgae diets using Chlorella vulgaris and Arthrospira platensis (spirulina) biomass and fed them to young adult honey bee workers. Diet-induced changes in bee metabolite profiles were studied relative to a natural pollen diet using liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) metabolomics. Untargeted analyses of pollen- and microalgae-fed bees revealed significant overlap, with 248 shared features determined by LC-MS and 87 shared features determined by GC-MS. Further metabolomic commonalities were evident upon subtraction of unique diet features. Twenty-five identified metabolites were influenced by diet, which included complex lipids, essential fatty acids, vitamins, and phytochemicals. The metabolomics results are useful to understand mechanisms underlying favorable growth performance as well as increased antioxidant and heat shock protein gene expression in bees fed the microalgae diets. We conclude that the tested microalgae have potential as sustainable feed additives and as a source of bee health-modulating natural products. Metabolomics-guided diet development could eventually help tailor feed interventions to achieve precision nutrition in honey bees and other livestock animals.

Human skin is home to a variety of commensal bacteria, including many species of coagulase-negative staphylococci (CoNS). While it is well established that the microbiota as a whole maintains skin homeostasis and excludes pathogens (i.e., colonization resistance), relatively little is known about the unique contributions of individual CoNS species to these interactions. Staphylococcus hominis is the second most frequently isolated CoNS from healthy skin, and there is emerging evidence to suggest that it may play an important role in excluding pathogens, including Staphylococcus aureus , from colonizing or infecting the skin.

Many consumers are turning to kratom ( Mitragyna speciosa ) to self-manage pain and opioid addiction. In the United States, an array of capsules, powders, and loose-leaf kratom products are readily available. Additionally, several online sites supply live kratom plants. A prerequisite to establishing quality control and quality assurance standards for the kratom industry, or understanding how alkaloid levels effect clinical outcomes, is the identification and quantitation of major and minor alkaloid constituents within available products and preparations. To this end, an ultra-high performance liquid chromatography-high resolution mass spectrometry method was developed for the analysis of 8 indole alkaloids (7-hydroxymitragynine, ajmalicine, paynantheine, mitragynine, speciogynine, isopaynantheine, speciociliatine, and mitraciliatine) and 6 oxindole alkaloids (isomitraphylline, isospeciofoleine, speciofoline, corynoxine A, corynoxeine, and rhynchophylline) in US-grown kratom plants and commercial products. These commercial products shared a qualitatively similar alkaloid profile, with 12 - 13 detected alkaloids and high levels of the indole alkaloid mitragynine (13.9 +/- 1.1 - 270 +/- 24 mg/g). The levels of the other major alkaloids (paynantheine, speciociliatine, speciogynine, mitraciliatine, and isopaynantheine) and the minor alkaloids varied in concentration from product to product. The alkaloid profile of US-grown M. speciosa "Rifat" showed high levels of the indole alkaloid speciogynine (7.94 +/- 0.83 - 11.55 +/- 0.18 mg/g) and quantifiable levels of isomitraphylline (0.943 +/- 0.033 - 1.47 +/- 0.18 mg/g). Notably, the alkaloid profile of a US-grown M. speciosa seedling was comparable to the commercial products with a high level of mitragynine (15.01 +/- 0.20 mg/g). This work suggests that there are several M. speciosa chemotypes.

Despite the value of mass spectrometry in modern natural products discovery workflows, it remains very difficult to compare data sets between laboratories. In this study we compared mass spectrometry data for the same sample set from two different laboratories (quadrupole time-of-flight and quadrupole-Orbitrap) and evaluated the similarity between these two data sets in terms of both mass spectrometry features and their ability to describe the chemical composition of the sample set. Somewhat surprisingly, the two data sets, collected with appropriate controls and replication, had very low feature overlap (25.7% of Laboratory A features overlapping 21.8% of Laboratory B features). Our data clearly demonstrate that differences in fragmentation, charge state, and adduct formation in the ionization source are a major underlying cause for these differences. Consistent with other recent literature, these findings challenge the conventional wisdom that electrospray ionization mass spectrometry (ESI-MS) yields a simple one-to-one correspondence between analytes in solution and features in the data set. Importantly, despite low overlap in feature lists, principal component analysis (PCA) generated qualitatively similar PCA plots. Overall, our findings demonstrate that comparing untargeted metabolomics data between laboratories is challenging, but that data sets with low feature overlap can yield the same qualitative description of a sample set using PCA.

The indole side chain of tryptophan is a versatile pi-donor that can participate in various types of cation-pi interactions. An understanding of how it may contribute as an auxiliary binding group in mercury(II) complexes can provide valuable insights toward the design of effective chelators for optimal mercury immobilization. In this study, we investigate how the incorporation of two tryptophan residues in model dicysteinyl peptides might participate in peptide-mercury(II) complex stabilization. Two pentapeptides consisting of a Cys-Trp-Cys sequence motif containing a second tryptophan residue at the N-terminal (BT1) or C-terminal (BT2) were designed. An analogous cyclohexapeptide (BT3) was included to evaluate how tryptophan residues, restricted in constrained peptidic turn motifs, might take part in mercury(II) complexation. Their interactions with mercury(II) were investigated by spectroscopic methods and computational modeling. UV-vis studies indicate the formation of 1:1 dithiolated mercury(II) complex, which is corroborated by ESI-MS analysis. Spectroscopic studies reveal that the tryptophan indole group(s) in BT1 and BT3 can participate in mercury(II) cation-pi interactions. Optimized 1:1 mercury(II)-BT3 structures indicate that both indole rings are very close to the mercury(II) coordination site and could stabilize it by shielding it from ligand exchange. These findings provide some useful insights toward use of aromatic donor groups as hydrophobic shields in designing more effective metal chelating agents.

The critical challenge that natural products research projects seek to address is identifying biologically active constituents in complex mixtures. The gold standard approach towards this goal is bioassay-guided fractionation, whereby mixtures are successively purified and tested for their ability to achieve a desired biological activity. The success of this approach is reflected by the discovery of many essential drugs, including the antibiotics streptomycin and tetracycline, and the anti-cancer drug Taxol. However, the bioassay-guided fractionation approach is limited by i) its inherent bias towards abundant and easily isolable compounds, and ii) the quality of the biological data used to guide isolation. The Center for High-Throughput Functional Annotation of Natural Products (HiFAN) seeks to address these limitations by developing new tools for the comprehensive evaluation of natural product mixtures. These tools enable the collection of multi-dimensional biological datasets, and the application of untargeted spectrometry metabolomics approaches to comprehensively profile the chemical composition of natural product mixtures. We will highlight the application of these approaches to identify natural product extracts and constituents with potential efficacy against SARS-CoV-2. A panel of botanical extracts and pure natural compounds were screened for blockade of authentic SARS-CoV-2 infection in cell culture. Promising activity was demonstrated by extracts and constituents from the botanical Stephania tetrandra, and the chemical and biological datasets were integrated using a multivariate statistical approach to determine which active constituents were most strongly associated with biological activity. We are currently employing HiFAN’s gene expression and cytological profiling platforms to derive insight into potential anti-viral and anti-inflammatory mechanisms of action for the bioactive constituents.

Two separate commercial products of kratom [Mitragyna speciosa (Korth.) Havil. Rubiaceae] were used to generate reference standards of its indole and oxindole alkaloids. While kratom has been studied for over a century, the characterization data in the literature for many of the alkaloids are either incomplete or inconsistent with modern standards. As such, full 1H and 13C NMR spectra, along with HRESIMS and ECD data, are reported for alkaloids 1-19. Of these, four new alkaloids (7, 11, 17, and 18) were characterized using 2D NMR data, and the absolute configurations of 7, 17, and 18 were established by comparison of experimental and calculated ECD spectra. The absolute configuration for the N(4)-oxide (11) was established by comparison of NMR and ECD spectra of its reduced product with those for compound 7. In total, 19 alkaloids were characterized, including the indole alkaloid mitragynine (1) and its diastereoisomers speciociliatine (2), speciogynine (3), and mitraciliatine (4); the indole alkaloid paynantheine (5) and its diastereoisomers isopaynantheine (6) and epiallo-isopaynantheine (7); the N(4)-oxides mitragynine-N(4)-oxide (8), speciociliatine-N(4)-oxide (9), isopaynantheine-N(4)-oxide (10), and epiallo-isopaynantheine-N(4)-oxide (11); the 9-hydroxylated oxindole alkaloids speciofoline (12), isorotundifoleine (13), and isospeciofoleine (14); and the 9-unsubstituted oxindoles corynoxine A (15), corynoxine B (16), 3-epirhynchophylline (17), 3-epicorynoxine B (18), and corynoxeine (19). With the ability to analyze the spectroscopic data of all of these compounds concomitantly, a decision tree was developed to differentiate these kratom alkaloids based on a few key chemical shifts in the 1H and/or 13C NMR spectra.

ETHNOPHARMACOLOGICAL RELEVANCE:Secondary metabolites play a critical role in plant defense against disease and are of great importance to ethnomedicine. Bacterial efflux pumps are active transport proteins that bacterial cells use to protect themselves against multiple toxic compounds, including many antimicrobials. Efflux pump inhibitors from plants can block these efflux pumps, increasing the potency of antimicrobial compounds. This study demonstrates that efflux pump inhibition against the Gram-positive bacterial pathogen Staphylococcus aureus is widespread in extracts prepared from individual species throughout the land plant lineage. It therefore suggests a general mechanism by which plants used by indigenous species may be effective as a topical treatment for some bacterial infections. AIM OF THE STUDY:The goal of this research was to evaluate the distribution of efflux pump inhibitors in nine plant extracts with an ethnobotanical use suggestive of an antimicrobial function for the presence of efflux pump inhibitory activity against Staphylococcus aureus. MATERIALS AND METHODS:Plants were collected, dried, extracted, and vouchers submitted to the Herbarium of the University of North Carolina Chapel Hill (NCU). The extracts were analyzed by quantitative mass spectrometry (UPLC-MS) to determine the presence and concentration of flavonoids with known efflux pump inhibitory activity. A mass spectrometry-based assay was employed to measure efflux pump inhibition for all extracts against Staphylococcus aureus. The assay relies on UPLC-MS measurement of changes in ethidium concentration in the spent culture broth when extracts are incubated with bacteria. RESULTS:Eight of these nine plant extracts inhibited toxic compound efflux at concentrations below the MIC (minimum inhibitory concentration) value for the same extract. The most active extracts were those prepared from Osmunda claytoniana L. and Pinus strobes L., which both demonstrated IC50 values for efflux inhibition of 19 ppm. CONCLUSIONS:Our findings indicate that efflux pump inhibitors active against Staphylococcus aureus are common in land plants. By extension, this activity is likely to be important in many plant-derived antimicrobial extracts, including those used in traditional medicine, and evaluation of efflux pump inhibition may often be valuable when studying natural product efficacy.

With the ability to differentiate different molecular sizes, ion mobility spectrometry (IMS) has great potentials in the analysis of isomeric compounds. However, due to the lack of sensitivity and resolution, IMS has not been commonly used. To address the issue on resolution, the goals of this study are to explore a more effective way to perform IMS by reducing the size of ions prior to the IM measurements, and apply the new approach to the differentiation of isomeric RNA modifications. The size reduction of ribonucleoside ions was effectively accomplished by using the collision-induced dissociation process, in which the N-glycosidic bond in ribonucleoside was cleaved and split the ions into two parts—a smaller nucleobase ion and a neutral molecule of ribose sugar. Since the chemical group that corresponds to most of the RNA modifications makes up a relatively small part of the molecular structure of nucleobases, the differentiation of the dissociated nucleobase ions is expected to require a lower ion mobility resolution than the differentiation of bigger isomeric ribonucleoside ions. By using RNA methylation as a model in this study, the proposed method lowered the required resolution by 16% for the differentiation of 1-methyladenosine and N6-methyladenosine. Similar results were also obtained from the differentiation of methylated cytidine isomers. In comparison to the results obtained from using the conventional tandem mass spectrometric method, there was no significant loss of signals when the proposed method was used. The proposed method is expected to be applicable to other types of isomeric compounds. Also, the same approach is applicable on other IMS platforms.