An integrated strategy of ultra-high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry and virtual screening for the identification of α-glucosidase inhibitors in acarviostatin-containing complex

Chromatographic speed classification for liquid chromatography using average theoretical peak time (ATPT)

BACKGROUND

The development of analytical techniques in the field of liquid chromatography has brought new frontiers in performance and analytical speed for the technique. The proper evaluation of the analytical boundaries achieved with those developments was not addressed in the literature, since different liquid chromatography (LC) techniques have not yet received any classification regarding their chromatographic speed. Defining chromatographic analysis speed based simply on analysis time is an outdated concept since it is sample and analyte-dependent. In this context, the application of the Average Theoretical Peak Time concept (ATPT) is proposed as a unified metric for chromatographic speed classification.

RESULTS

This metric was evaluated using PCA analysis in a group of more than 50 publications, which generated the classification of LC methods in normal, high, hyper, and ultra-high-speed separations using ATPT. Normal speed (ATPT values greater than 18000 ms/peak) was found in HPLC, nano-LC, SFC, and CEC methods. Therefore, high-speed methods (ATPT values between 4000 and 18000 ms/peak) were found in UHPLC techniques, while LC × LC methods presented higher ATPT values between 1000 and 4000 ms/peak being classified as hyper-speed separations. ATPT can also be used as an optimization parameter, since older methods show higher ATPT values, while recent published papers show lower values of this metric. This behavior is justified due to the improvement of the LC methods over the years.

SIGNIFICANCE

This work fulfills the gap in chromatographic definitions and metrics, regarding analytical speed in one-dimensional and multidimensional liquid chromatographic techniques and shows that ATPT metrics is a robust parameter that can be used to classify the separation speed as well as a metric to evaluate the LC Method optimization. It also corrects the historical application of separation time as a metric for chromatographic speed.

Microbial Oligosaccharides with Biomedical Applications

Microbial oligosaccharides have been regarded as one of the most appealing natural products attributable to their potent and selective bioactivities, such as antimicrobial activity, inhibition of α-glucosidases and lipase, interference of cellular recognition and signal transduction, and disruption of cell wall biosynthesis. Accordingly, a handful of bioactive oligosaccharides have been developed for the treatment of bacterial infections and type II diabetes mellitus. Given that naturally occurring oligosaccharides have increasingly gained recognition in recent years, a comprehensive review is needed. The current review highlights the chemical structures, biological activities and divergent biosynthetic origins of three subgroups of oligomers including the acarviosine-containing oligosaccharides, saccharomicins, and orthosomycins.

Acylated Aminooligosaccharides from the Yellow Sea Streptomyces sp. HO1518 as Both α-Glucosidase and Lipase Inhibitors

Three new acylated aminooligosaccharide (1-3), along with five known congeners (4-8), were isolated from the marine-derived Streptomyces sp. HO1518. Their structures were fully elucidated by extensive spectroscopic analysis, mainly based on 1D-selective and 2D TOCSY, HSQC-TOCSY, and HRESIMS spectrometry measurements, and by chemical transformations. All of the compounds were evaluated for their α-glucosidase and pancreatic lipase inhibitory activities. Among the isolates, D6-O-isobutyryl-acarviostatin II03 (3) and D6-O-acetyl-acarviostatin II03 (8), sharing acarviostatin II03-type structure, showed the most potent α-glucosidase and lipase inhibitory effects, far stronger than the antidiabetic acarbose towards α-glucosidase and almost equal to the anti-obesity orlistat towards lipase in vitro. This is the first report on inhibitory activities against the two major digestive enzymes for acylated aminooligosaccharides. The results from our investigation highlight the potential of acylated aminooligosaccharides for the future development of multi-target anti-diabetic drug.

Emerging strategies for the activity assay and inhibitor screening of alpha-glucosidase

The high incidence of diabetes mellitus has caused widespread concern around the world, and has quickly become one of the most prevalent and costly chronic diseases.

Efficacy evaluation of Qingyan formulation in a smoking environment and screening of anti-inflammatory compounds

Qingyan formulation (QF) is a common preparation that is often used to control inflammation in the haze environment. However, the efficacy and effective constituents of QF are still uncertain and difficult to identify. This paper aims to evaluate the efficacy by simulating a haze environment and determine its anti-inflammatory compounds by UPLC/Q-TOF-MS/MS combing with bioactivity screening. The therapeutic effect of QF in the simulated haze environment was confirmed from the aspects of lung histomorphology and inflammatory factor expression levels. QF showed strong anti-inflammatory activity with the minimum effective concentration reaching 1.5 g/kg. Potential anti-inflammatory components were screened by the NF-κB activity assay system and simultaneously identified based on mass spectral data. Then, the potential active compounds were verified by molecular biological methods, the minimum effective concentration can reach 0.1 mg/L. Six structural types of NF-κB inhibitors (phenolic acid, scopolamine, hydroxycinnamic acid, flavonoid, dihydroflavone and steroid) were identified. Further cytokine assays confirmed their potential anti-inflammatory effects of NF-κB inhibitors. This strategy clearly demonstrates that QF has a significant therapeutic effect on respiratory diseases caused by haze, so it is necessary to promote its commercialization and wider application.

Combining UPLC/Q-TOF-MS/MS With Biological Evaluation for NF-κB Inhibitors in Uyghur Medicine Althaea rosea Flowers

The Althaea rosea (Linn.) flower is a common plant that is often used to control inflammation in Uyghur ethnic medicine. However, its active ingredients remain uncertain and difficult to identify, severely limiting its use as a valuable crop. This paper aims to establish a rapid assay strategy for the integration of ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS/MS) and a biologically active (NF-κB inhibitor) luciferase reporter detection system to explore various anti-inflammatory compounds of A. rosea (Linn.) flowers. Potential anti-inflammatory components were screened using the NF-κB activity assay system and simultaneously identified based on mass spectrometry data. Four structural types of NF-κB inhibitors (phenolic acid, hydroxycinnamic acid, flavonoid, and dihydroflavone) were identified. Further cytokine assays confirmed their potential anti-inflammatory effects as NF-κB inhibitors. Compared with traditional chromatographic separation, integrated UPLC/Q-TOF-MS/MS identification compounds, and biological activity verification are more convenient and more reliable. This strategy clearly demonstrates that fingerprinting based on MS data not only can identify unknown components but also is a powerful and useful tool for screening trace active ingredients directly from complex matrices. A. rosea (Linn.) exhibits great health and pharmaceutical value and may contribute to the development of new anti-inflammatory drugs.

Acylated Aminooligosaccharides with Inhibitory Effects against α-Amylase from Streptomyces sp. HO1518

Five new acylated aminooligosaccharides (1–5), together with one known related analogue (6), were isolated from Streptomyces sp. HO1518. Their structure was identified by extensive spectroscopic analysis, including 1D and 2D NMR data and high resolution electrospray ionization mass spectrometry (HRESIMS), and by comparison with those reported in the literature. All of the new compounds showed more promising porcine pancreatic α-amylase (PPA) inhibitory activities than the clinical drug acarbose, indicating them as potential pharmaceutical drug leads toward type II diabetes.

Active fragments-guided drug discovery and design of selective tropane alkaloids using ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry coupled with virtual calculation and biological evaluation

Tropane alkaloids (TAs), rich in the plant of Physochlaina infundibularis Kuang, which is named Huashanshen (HSS) in China, showed good effects on types of spasms. However, no data were collected to explore the relationship between the specificity for muscarinic receptor subtypes and the structures of these TAs. To address this issue, an extracted ion chromatogram (EIC) strategy using ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q/TOF-MS) based on the fragmentation behavior of the TA standards was established to rapidly capture the varied TAs from HSS. Based on the provided structural information of diagnostic ions or neutral loss, 29 TAs were efficiently profiled, especially some trace ingredients. In additional, via virtual validation combined with molecular dynamic simulation, approximately a dozen alkaloids were found with high selectivity for muscarinic receptors. In additional, N-acetyl convolicine was chosen for selectivity evaluation of M₂ or M₃ receptors through the use of a dual-luciferase reporter assay system at the cellular level and an ACh-induced constricted strip test in vitro. After summarizing the active fragments and the structure-activity relationship (SAR) information, a new modified TA that takes advantage of both the high affinity and high selectivity for M₃ receptors was proposed and evaluated successfully. This study provided an effective approach for the discovery and design of natural products based on highly selective drugs by UPLC-Q/TOF-MS coupled with virtual calculation and biological evaluation. Graphical Abstract Active fragments-guided strategy for selective inhibitors from HSS.

Bioactivity-guided isolation and purification of α-glucosidase inhibitor, 6-O-D-glycosides, from Tinta Cão grape pomace

Bioactivity-guided fractionation methods were used to identify and purify active components in Tinta Cão grape pomace extract (GPE) that inhibit intestinal α-glucosidases. One active α-glucosidase inhibitor and one new natural product determined as 6-O-(p-coumaroyl)-D-glucopyranoside and methyl 6-O-(p-coumaroyl)-β-D-galactopyranoside, respectively, were isolated from GPE that were previously shown to potently inhibit α-glucosidase. Analysis of the relationship between structures and activity suggested that C₁-OH of saccharide moiety in phenolic glycosides is necessary for this potent inhibition of intestinal α-glucosidases for the potential development of a novel anti-hyperglycaemic dietary supplement.

Bioactivity-based ultra-performance liquid chromatography-coupled quadrupole time-of-flight mass spectrometry for NF-κB inhibitors identification in Chinese Medicinal Preparation Bufei Granule

Traditional Chinese medicine (TCM) preparations have become effective treatments for many diseases. However, their active ingredients are still uncertain and difficult to identify. In this study, we propose a strategy that integrates ultra-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (UPLC/Q-TOF-MS) and bioactive (NF-κB inhibitor) luciferase reporter assay systems for the rapid determination of various anti-inflammatory compounds of TCM preparations. In this way, Bufei Granule (BFG), a TCM preparation used for the clinical therapy of asthma, was analyzed by the two ways of component identification and activity detection. Potential anti-inflammatory constituents were screened by NF-κB activity assay systems and simultaneously identified according to the mass spectrometry data. Three structural types of NF-κB inhibitors (caffeic acid derivatives, flavonoids and Pentacyclic triterpenes) were characterized. Further cytokine detection confirmed the anti-inflammatory effects of the potential NF-κB inhibitors. Compared with conventional chromatographic separation and inhibitory activity detection, integrating UPLC/Q-TOF-MS identification and virtual validation was more convenient and more reliable. This strategy clearly demonstrates that MS data-based fingerprinting is a meaningful tool not only in identifying constituents in complex matrix but also in directly screening for powerful trace ingredients in TCM preparations. Copyright © 2016 John Wiley & Sons, Ltd.