Identification Of Known Compounds Research Articles

SPME arrow-based extraction for enhanced targeted and untargeted urinary volatilomics

BackgroundVolatile organic compounds (VOCs) present in human urine are promising biomarkers for various health conditions and environmental exposures. However, their reliable detection is challenging due to the complexity of urinary matrices and the low concentrations of VOCs. Moreover, untargeted approaches present considerable challenges in terms of data interpretation, increasing the complexity of method development. Here we address these challenges by developing a new method that combines solid-phase microextraction (SPME) Arrow with gas chromatography-high resolution mass spectrometry (GC-HRMS), using a design of experiments (DOE) approach for targeted and untargeted compounds. This methodology, specifically tailored for SPME Arrow, represents a significant advancement in untargeted urinary analysis. ResultsThe method was developed based on targeted and untargeted outcomes, were ranking results focus on the highest response area of 11 spiked target VOCs representative of urinary volatilomics, and on identifying the maximum untargeted number of VOCs. The method was developed focusing on the highest response area of 11 spiked target VOCs representative of urinary volatilomics and identifying the maximum number of VOCs. A univariate method determined the optimal coating type, urine volume, and salt addition. Subsequently, a central composite design (CCD) DOE was used to determine ideal temperature, extraction, and incubation times. The best method obtained has an extraction time of 60 min at a temperature of 53 °C, with an SPME Arrow CAR/PDMS using 2 mL of urine, with 0.25 % w/v of NaCl and a pH of 2. Compared to conventional SPME fibers, the SPME Arrow showed improved extraction efficiency, detecting more VOCs. Finally, the enhanced method was successfully applied to urine samples from children exposed and non-exposed to tobacco smoke, identifying specific VOCs, like p-cymene and p-isopropenyl toluene related to tobacco exposure. SignificanceBy integrating both targeted and untargeted approaches, the developed method comprehensively captures the complexity of urinary metabolomics. This dual strategy ensures the precise identification of known compounds and the discovery of novel biomarkers, thereby providing a more complete metabolic profile. Such an approach is crucial for advancing in non-invasive diagnostics and environmental health studies, as it offers deeper insights into the intricate relationships between metabolic processes and various health conditions.

Advanced Methods for Natural Products Discovery: Bioactivity Screening, Dereplication, Metabolomics Profiling, Genomic Sequencing, Databases and Informatic Tools, and Structure Elucidation.

Natural Products (NP) are essential for the discovery of novel drugs and products for numerous biotechnological applications. The NP discovery process is expensive and time-consuming, having as major hurdles dereplication (early identification of known compounds) and structure elucidation, particularly the determination of the absolute configuration of metabolites with stereogenic centers. This review comprehensively focuses on recent technological and instrumental advances, highlighting the development of methods that alleviate these obstacles, paving the way for accelerating NP discovery towards biotechnological applications. Herein, we emphasize the most innovative high-throughput tools and methods for advancing bioactivity screening, NP chemical analysis, dereplication, metabolite profiling, metabolomics, genome sequencing and/or genomics approaches, databases, bioinformatics, chemoinformatics, and three-dimensional NP structure elucidation.

Mass spectrometry-based metabolomics approach in the isolation of bioactive natural products

Metabolomics is a powerful tool in the analysis and identification of metabolites responsible for biological properties. Regarding natural product chemistry, it constitutes a potential strategy to streamline the classic and laborious process of isolating natural products, which often involves the re-isolation and identification of known compounds. In this contribution, we establish a mass spectrometry-based metabolomics strategy to discover compounds with larvicidal activity against Aedes aegypti. We analyse the Brazilian plant Annona crassiflora using different platforms to annotate the active compounds in different extracts/fractions of various plant parts. The MetaboAnalyst and GNPS platforms, which consider LC-MS and LC-MS/MS data, respectively, were chosen to identify compounds that differentiate active and inactive samples. Bio-guided isolation was subsequently performed to confirm compound activity. Results proved the capacity of metabolomics to predict metabolite differences between active and inactive samples using LC-MS and LC-MS/MS data. Moreover, we discuss the limitations, possibilities, and strategies to have a broad view of vast data.

Dereplication by HPLC-DAD-ESI-MS/MS and Screening for Biological Activities of Byrsonima Species (Malpighiaceae).

Byrsonima species have been used in the treatment of gastrointestinal and gynecological inflammations, skin infections and snakebites. Based on their biological activities, it is important to study other organisms from this genus and to identify their metabolites. To determine the metabolic fingerprinting of methanol and ethyl acetate extracts of four Byrsonima species (B. intermedia, B. coccolobifolia, B. verbascifolia and B. sericea) by HPLC-DAD-ESI-MS/MS and evaluate their in vitro antioxidant, anti-glycation, anti-inflammatory and cytotoxic activities. Antioxidant activity was determined by DPPH˙, ABTS˙+ and ROO˙ scavenging assays. Anti-glycation activity was evaluated by the ability to inhibit the formation of advanced glycation endproducts (AGEs). Anti-inflammatory activity was evaluated using a murine macrophage cell line (RAW 264-7) in the presence of lipopolysaccharide (LPS). Tumour necrosis factor alpha (TNF-α) and nitrite (NO2- ) production were measured by ELISA and the Griess reaction, respectively. The compounds present in the extracts were tentatively identified by HPLC-DAD-ESI-MS/MS. The evaluation of the biological activities showed the potential of the extracts. The activities were assigned to the presence of glycoside flavonoids mainly derived from quercetin, quinic acid derivatives, gallic acid derivatives, galloylquinic acids and proanthocyanidins. Two isomers of sinapic acid-O-hexoside were described for the first time in a Byrsonima species. This research contributes to the study of the genus, it is the first report of the chemical composition of B. sericea and demonstrates the importance of the dereplication process, allowing the identification of known compounds without time-consuming procedures. Copyright © 2017 John Wiley & Sons, Ltd.

Targeted Dereplication of Microbial Natural Products by High-Resolution MS and Predicted LC Retention Time.

A new strategy for the identification of known compounds in Streptomyces extracts that can be applied in the discovery of natural products is presented. The strategy incorporates screening a database of 5555 natural products including 5098 structures from Streptomyces sp., using a high-throughput LCMS data processing algorithm that utilizes HRMS data and predicted LC retention times (tR) as filters for rapid identification of known compounds in the natural product extract. The database, named StrepDB, contains for each compound the structure, molecular formula, molecular mass, and predicted LC retention time. All identified compounds are annotated and color coded for easier visualization. It is an indirect approach to quickly assess masses (which are not annotated) that may potentially lead to the discovery of new or novel structures. In addition, a spectral database named MbcDB was generated using the ACD/Spectrus DB Platform. MbcDB contains 665 natural products, each with structure, experimental HRESIMS, MS/MS, UV, and NMR spectra. StrepDB was used to screen a mutant Streptomyces albus extract, which led to the identification and isolation of two new compounds, legonmaleimides A and B, the structures of which were elucidated with the aid of MbcDB and spectroscopic techniques. The structures were confirmed by computer-assisted structure elucidation (CASE) methods using ACD/Structure Elucidator Suite. The developed methodology suggests a pipeline approach to the dereplication of extracts and discovery of novel natural products.

Enhanced dereplication of fungal cultures via use of mass defect filtering

Effective and rapid dereplication is a hallmark of present-day drug discovery from natural sources. This project strove to both decrease the time and expand the structural diversity associated with dereplication methodologies. A 5 min liquid chromatographic run time employing heated electrospray ionization (HESI) was evaluated to determine whether it could be used as a faster alternative over the 10 min ESI method we reported previously. Results revealed that the 5 min method was as sensitive as the 10 min method and, obviously, was twice as fast. To facilitate dereplication, the retention times, UV absorption maxima, full-scan HRMS and MS/MS were cross-referenced with an in-house database of over 300 fungal secondary metabolites. However, this strategy was dependent upon the makeup of the screening in-house database. Thus, mass defect filtering (MDF) was explored as an additional targeted screening strategy to permit identification of structurally related components. The use of a dereplication platform incorporating the 5 min chromatographic method together with MDF facilitated rapid and effective identification of known compounds and detection of structurally related analogs in extracts of fungal cultures.

Matrix-Free UV-Laser Desorption Ionization Mass Spectrometry as a Versatile Approach for Accelerating Dereplication Studies on Lichens.

The present study examined the suitability of laser desorption/ionization time-of-flight mass spectrometry (LDI-MS) for the rapid chemical fingerprinting of lichen extracts. Lichens are known to produce a wide array of secondary metabolites. Most of these compounds are unique to the symbiotic condition but some can be found in many species. Therefore, dereplication, that is, the rapid identification of known compounds within a complex mixture is crucial in the search for novel natural products. Over the past decade, significant advances were made in analytical techniques and profiling methods specifically adapted to crude lichen extracts, but LDI-MS has never been applied in this context. However, most classes of lichen metabolites have UV chromophores, which are quite similar to commercial matrix molecules used in matrix-assisted laser desorption ionization (MALDI). It is consequently postulated that these molecules could be directly detectable by matrix-free LDI-MS. The present study evaluated the versatility of this technique by investigating the LDI properties of a vast array of single lichen metabolites as well as lichen extracts of known chemical composition. Results from the LDI experiments were compared with those obtained by direct ESI-MS detection as well as LC-ESI-MS. It was shown that LDI ionization leads to strong molecular ion formation with little fragmentation, thus, facilitating straightforward spectra interpretation and representing a valuable alternative to time-consuming LC-MS analysis.

Genomic and chromatographic approach for the discovery of polyketide antimicrobial metabolites from an endophytic Phomopsis liquidambaris CBR-18

New approaches in probing for antimicrobial metabolites require genome and chemical investigation. The rapid identification of known compounds, i.e. dereplication, is strategically crucial in bioprospecting microbes for novel metabolites. An endophytic fungal strain, CBR-18, was isolated from Cryptolepis buchanani Roem. and identified as Phomopsis liquidambaris by molecular analysis. Biosynthetic polyketide synthase (PKS) genes of CBR-18 were investigated using three sets of degenerate primers, amplified with LC1–LC2c primers. Type I PKS gene-based and chemical investigation by a chromatography-guided approach furnished a broad-spectrum antimicrobial metabolite which was identified as oblongolide Y. Minimum inhibitory concentration values of the compound against test pathogens ranged between 25 and 100 µg/ml. The present study highlights the utility of strain CBR-18 as a promising source of potential polyketide antimicrobial agents which could be exploited for industrial purposes. This approach enabled different ketosynthase domains to be targeted for the isolation of previously uncharacterized bioactive polyketides, and could be used as a method for the rapid screening of fungal endophytes capable of producing potential polyketide antimicrobial agents.

UPLC-MS-ELSD-PDA as a powerful dereplication tool to facilitate compound identification from small-molecule natural product libraries.

The generation of natural product libraries containing column fractions, each with only a few small molecules, using a high-throughput, automated fractionation system, has made it possible to implement an improved dereplication strategy for selection and prioritization of leads in a natural product discovery program. Analysis of databased UPLC-MS-ELSD-PDA information of three leads from a biological screen employing the ependymoma cell line EphB2-EPD generated details on the possible structures of active compounds present. The procedure allows the rapid identification of known compounds and guides the isolation of unknown compounds of interest. Three previously known flavanone-type compounds, homoeriodictyol (1), hesperetin (2), and sterubin (3), were identified in a selected fraction derived from the leaves of Eriodictyon angustifolium. The lignan compound deoxypodophyllotoxin (8) was confirmed to be an active constituent in two lead fractions derived from the bark and leaves of Thuja occidentalis. In addition, two new but inactive labdane-type diterpenoids with an uncommon triol side chain were also identified as coexisting with deoxypodophyllotoxin in a lead fraction from the bark of T. occidentalis. Both diterpenoids were isolated in acetylated form, and their structures were determined as 14S,15-diacetoxy-13R-hydroxylabd-8(17)-en-19-oic acid (9) and 14R,15-diacetoxy-13S-hydroxylabd-8(17)-en-19-oic acid (10), respectively, by spectroscopic data interpretation and X-ray crystallography. This work demonstrates that a UPLC-MS-ELSD-PDA database produced during fractionation may be used as a powerful dereplication tool to facilitate compound identification from chromatographically tractable small-molecule natural product libraries.

Dereplication strategy for antimicrobial metabolite using thin-layer chromatography-bioautography and LC-PDA-MS analysis

Rapid identification of known compounds, i.e., dereplication, has become a strategically important area for the natural-product chemists involved in bioprospecting of microbes for novel bioactive metabolites. Among microbial biodiversity, endophytic fungi represent an abundant and dependable source of structurally diverse bioactive metabolites. During the course of screening for antimicrobial secondary metabolites from endophytic fungi, an antimicrobial metabolite was identified from the ethyl acetate extract obtained from the culture broth of Xylaria sp., an endophytic fungus from Ficus pumila Linn. (Moraceae) that exhibited a broad spectrum of antimicrobial activity against human and phytopathogenic bacteria and fungi. Chemical investigation of the ethyl acetate fraction using thin-layer chromatography (TLC) bioautography and LC-hyphenated techniques led to the identification of a known benzoic acid derivative. Here, we describe the application of analytical strategies (TLC-bioautography) and hyphenated...

High-Resolution MS, MS/MS, and UV Database of Fungal Secondary Metabolites as a Dereplication Protocol for Bioactive Natural Products

A major problem in the discovery of new biologically active compounds from natural products is the reisolation of known compounds. Such reisolations waste time and resources, distracting chemists from more promising leads. To address this problem, dereplication strategies are needed that enable crude extracts to be screened for the presence of known compounds before isolation efforts are initiated. In a project to identify anticancer drug leads from filamentous fungi, a significant dereplication challenge arises, as the taxonomy of the source materials is rarely known, and, thus, the literature cannot be probed to identify likely known compounds. An ultraperformance liquid chromatography-photodiode array-high-resolution tandem mass spectrometric (UPLC-PDA-HRMS-MS/MS) method was developed for dereplication of fungal secondary metabolites in crude culture extracts. A database was constructed by recording HRMS and MS/MS spectra of fungal metabolites, utilizing both positive- and negative-ionization modes. Additional details, such as UV-absorption maxima and retention times, were also recorded. Small-scale cultures that showed cytotoxic activities were dereplicated before engaging in the scale-up or purification processes. Using these methods, approximately 50% of the cytotoxic extracts could be eliminated from further study after the confident identification of known compounds. The specific attributes of this dereplication methodology include a focus on bioactive secondary metabolites from fungi, the use of a 10 min chromatographic method, and the inclusion of both HRMS and MS/MS data.

Targeted Isolation and Structure Elucidation of Stilbene Glycosides from the Bark of Lysidice brevicalyx Wei Guided by Biological and Chemical Screening

An efficient procedure based on biological and chemical screening has been performed to investigate the antioxidant constituents of the bark of Lysidice brevicalyx Wei. The procedure allowed the rapid identification of known compounds and tentative characterization of unknown compounds by online LC/UV/ESIMS(n) analyses of the antioxidant fraction. Targeted isolation of the unknown compounds has led to the discovery of seven new stilbene glycosides, named lysidisides L-R (1-7), together with a known stilbene glycoside, (E)-resveratrol 3-O-rutinoside (8). The structures of these compounds were further determined on the basis of spectroscopic and chemical evidence. The antioxidant activities of compounds 1-8 and two related compounds, (E)-polydatin (9) and lysidiside E (11), were evaluated. The known compound (E)-polydatin (9) showed antioxidant activity at concentrations of 10(-4) and 10(-5) mol/L.

Various Dereplication Strategies Using LC-MS for Rapid Natural Product Lead Identification and Drug Discovery

Natural products are the most consistently successful source of drug leads. The rapid identification of known compounds from natural product extracts, or ‘dereplication’, is an important step in an efficiently run drug discovery program. Modern spectroscopic methods have largely revolutionized compound identification and tremendously accelerated the pace at which isolated compounds can be identified. Dereplication strategies use analytical techniques and database searching to determine the identity of an active compound at the earliest possible stage in the discovery process. This prevents wasted effort on samples with no potential for development and allows resources to be focused on the most promising lead. In the past few years, advances in technology have allowed the development of tandem analytical techniques, such as HPLC-PDA, LC-MS, LC-MS-MS, LC-NMR, and LC-NMR-MS. This review describes the principles and performance of a number of hyphenated techniques involving LC-MS that can be used for dereplication of natural products for rapid lead identification.

X-Hitting: An Algorithm for Novelty Detection and Dereplication by UV Spectra of Complex Mixtures of Natural Products

A major challenge in lead discovery is to detect well-known and trivial compounds rapidly, a process known as dereplication, so that isolation, structure elucidation, and pharmacological investigations can be focused on novel compounds. In this paper, we present a new algorithm, X-hitting, based on cross sample comparison of full UV spectra from HPLC analysis of highly complex natural product extracts/samples. X-Hitting allows automatic identification of known compounds but more important also allows finding of potentially new or similar compounds. We demonstrate this new algorithm by automatic identification of known structures, a task we call cross-hitting, and tentative identification of potentially new bioactive compounds, a task we call new-hitting, in HPLC data from analysis of fungal extracts. Both tasks are illustrated using 18 important reference compounds and complex fungal extracts obtained from isolates in the IBT Culture Collection held at BioCentrum-DTU, Technical University of Denmark. The receiver operating characteristics statistic is used to evaluate the performance of the compound predictor, and it was found that compounds could be identified with high confidence (AUC approximately 0.98). Based on high confidence in retrieving identical spectra, the method is extended to include similar but still different spectra.

Isolation and on-line identification of anti-oxidant compounds from threeBaccharis species by HPLC-UV-MS/MS with post-column derivatisation

The aqueous extracts of aerial parts of Baccharis trimera (Less.) DC., B. crispa Spreng. and B. usterii Heering (Asteraceae) displayed significant radical scavenging activity in a diphenylpicrylhydrazole (DPPH)/TLC assay. In order to rapidly identify the active principles, the crude extracts were analysed by HPLC-UV, and an HPLC-micro-fractionation of the extract of B. usterii was performed. Six quinic acids derivatives (1-6) were isolated from B. usterii by MPLC. The fractions were monitored by DPPH/TLC assay and a series of radical-scavenging quinic acid derivatives could be identified. The comparison of the HPLC profiles of the extracts of B. usterii, B. trimera and B. crispa was performed. In order to obtain complementary on-line structural information for all peaks of interest, HPLC-MS/MS together with HPLC-UV involving post-column addition of UV shift reagents was undertaken on the crude extract. The interpretation of these data permitted the on-line identification of known compounds, some of which are reported for the first time in this plant.

LC-NMR: a new tool to expedite the dereplication and identification of natural products.

The rapid identification of known or undesirable compounds from natural products extracts - "dereplication" - is an important step in an efficiently run natural products discovery program. Dereplication strategies use analytical techniques and database searching to determine the identity of an active compound at the earliest possible stage in the discovery process. In the past few years, advances in technology have allowed the development of tandem analytical techniques such as liquid chromatography mass spectrometry (LC-MS), LC-MS-MS, liquid chromatography nuclear magnetic resonance (LC-NMR), and LC-NMR-MS. LC-NMR, despite its lower sensitivity as compared to LC-MS, provides a powerful tool for rapid identification of known compounds and identification of structure classes of novel compounds. LC-NMR is especially useful in instances where the data from LC-MS are incomplete or do not allow confident identification of the active component of a sample. LC-NMR has been used to identify the marine alkaloid aaptamine as the active component in an extract of the sponge Aaptos sp. This extract had been identified as an enzyme inhibitor by a high throughput screening (HTS) effort. Isolated aaptamine exhibited an IC(50)=120 µM against this enzyme. Strategies for the identification of aaptamine and for the use of LC-NMR in a natural products HTS program are discussed.

Normal- and bonded-phase liquid chromatography with photodiode array detection of maytansinoids

Maytansinoids obtained from Maytenus species are known as potential anti-cancer drugs. Investigation of new plant species for the presence of unknown maytansinoids as well as synthetic work requires a reliable analytical and semipreparative normal-phase separation which can distinguish between known and unknown compounds independently from retention times and which would be compatible to LC-MS interfacing for further studies. A thorough study of numerous maytansinoids on silica gel and on diol-, aminopropyl- and cyanopropyl-bonded phases, suggests a complex retention mechanism based on molecular size as well as on specific interaction with the stationary phase while limiting a selectivity effect of the mobile phase. Utilizing a Varian 9065 photodiode array detector a spectral library of the separated substances was generated. This library simplifies the identification of known compounds in a matrix of unknowns such as fractions of plant extracts even if baseline separation is not achieved. Unlike reversed-phase separations that have been described in the literature the presented method allows an easy sample recovery in a semipreparative separation.