12 research outputs found
Magnetic Ligand Fishing as a Targeting Tool for HPLC-HRMS-SPE-NMR: α‑Glucosidase Inhibitory Ligands and Alkylresorcinol Glycosides from <i>Eugenia catharinae</i>
A bioanalytical platform combining
magnetic ligand fishing for
α-glucosidase inhibition profiling and HPLC-HRMS-SPE-NMR for
structural identification of α-glucosidase inhibitory ligands,
both directly from crude plant extracts, is presented. Magnetic beads
with N-terminus-coupled α-glucosidase were synthesized and characterized
for their inherent catalytic activity. Ligand fishing with the immobilized
enzyme was optimized using an artificial test mixture consisting of
caffeine, ferulic acid, and luteolin before proof-of-concept with
the crude extract of <i>Eugenia catharinae</i>. The combination
of ligand fishing and HPLC-HRMS-SPE-NMR identified myricetin 3-<i>O</i>-α-l-rhamnopyranoside, myricetin, quercetin,
and kaempferol as α-glucosidase inhibitory ligands in <i>E. catharinae</i>. Furthermore, HPLC-HRMS-SPE-NMR analysis led
to identification of six new alkylresorcinol glycosides, i.e., 5-(2-oxopentyl)resorcinol
4-<i>O</i>-β-d-glucopyranoside, 5-propylresorcinol
4-<i>O</i>-β-d-glucopyranoside, 5-pentylresorcinol
4-<i>O</i>-[α-d-apiofuranosyl-(1→6)]-β-d-glucopyranoside, 5-pentylresorcinol 4-<i>O</i>-β-d-glucopyranoside, 4-hydroxy-3-<i>O</i>-methyl-5-pentylresorcinol
1-<i>O</i>-β-d-glucopyranoside, and 3-<i>O</i>-methyl-5-pentylresorcinol 1-<i>O</i>-[β-d-glucopyranosyl-(1→6)]-β-d-glucopyranoside
High-Resolution α‑Amylase Assay Combined with High-Performance Liquid Chromatography–Solid-Phase Extraction–Nuclear Magnetic Resonance Spectroscopy for Expedited Identification of α‑Amylase Inhibitors: Proof of Concept and α‑Amylase Inhibitor in Cinnamon
Type 2 diabetes affects millions
of people worldwide, and new improved
drugs or functional foods containing selective α-amylase inhibitors
are needed for improved management of blood glucose. In this article
the development of a microplate-based high-resolution α-amylase
inhibition assay with direct photometric measurement of α-amylase
activity is described. The inhibition assay is based on porcine pancreatic
α-amylase with 2-chloro-4-nitrophenyl-α-d-maltotriose
as substrate, which this gives a stable, sensitive, and cheap inhibition
assay as requested for high-resolution purposes. In combination with
HPLC–HRMS–SPE–NMR, this
provides an analytical platform that allows simultaneous chemical
and biological profiling of α-amylase inhibitors in plant extracts.
Proof-of-concept with an artificial mixture of six compoundsof
which three are known α-amylase inhibitorsshowed that
the high-resolution α-amylase inhibition profiles allowed detection
of sub-microgram amounts of the α-amylase inhibitors. Furthermore,
the high-resolution α-amylase inhibition assay/HPLC–HRMS–SPE–NMR
platform allowed identification of cinnamaldehyde as the α-amylase
inhibitor in cinnamon (<i>Cinnamomum verum</i> Presl.)
Combined Use of High-Resolution α‑Glucosidase Inhibition Profiling and High-Performance Liquid Chromatography–High-Resolution Mass Spectrometry–Solid-Phase Extraction–Nuclear Magnetic Resonance Spectroscopy for Investigation of Antidiabetic Principles in Crude Plant Extracts
Type 2 diabetes is a metabolic disorder
affecting millions of people
worldwide, and new drug leads or functional foods containing selective
α-glucosidase inhibitors are needed. Crude extract of 24 plants
were assessed for α-glucosidase inhibitory activity. Methanol
extracts of Cinnamomum zeylanicum bark, Rheum rhabarbarum peel, and Rheum
palmatum root and ethyl acetate extracts of C. zeylanicum bark, Allium ascalonicum peel, and R. palmatum root showed
IC<sub>50</sub> values below 20 μg/mL. Subsequently, high-resolution
α-glucosidase profiling was used in combination with high-performance
liquid chromatography–high-resolution mass spectrometry–solid-phase
extraction–nuclear magnetic resonance spectroscopy for identification
of metabolites responsible for the α-glucosidase inhibitory
activity. Quercetin (<b>1</b>) and its dimer (<b>2</b>), trimer (<b>3</b>), and tetramer (<b>4</b>) were identified
as main α-glucosidase inhibitors in A. ascalonicum peel, whereas (<i>E</i>)-piceatannol 3′-<i>O</i>-β-d-glucopyranoside (<b>5</b>), (<i>E</i>)-rhapontigenin 3′-<i>O</i>-β-d-glucopyranoside (<b>6</b>), (<i>E</i>)-piceatannol
(<b>8</b>), and emodin (<b>12</b>) were identified as
main α-glucosidase inhibitors in R. palmatum root
Potential of Polygonum cuspidatum Root as an Antidiabetic Food: Dual High-Resolution α‑Glucosidase and PTP1B Inhibition Profiling Combined with HPLC-HRMS and NMR for Identification of Antidiabetic Constituents
The
worldwide increasing incidence of type 2 diabetes has fueled
an intensified search for food and herbal remedies with preventive
and/or therapeutic properties. Polygonum cuspidatum Siebold & Zucc. (Polygonaceae) is used as a functional food
in Japan and South Korea, and it is also a well-known traditional
antidiabetic herb used in China. In this study, dual high-resolution
α-glucosidase and protein-tyrosine phosphatase 1B (PTP1B) inhibition
profiling was used for the identification of individual antidiabetic
constituents directly from the crude ethyl acetate extract and fractions
of P. cuspidatum. Subsequent preparative-scale
HPLC was used to isolate a series of α-glucosidase inhibitors,
which after HPLC-HRMS and NMR analysis were identified as procyanidin
B2 3,3″-<i>O</i>-digallate (<b>3</b>) and (−)-epicatechin
gallate (<b>5</b>) with IC<sub>50</sub> values of 0.42 ±
0.02 and 0.48 ± 0.0004 μM, respectively, as well as a series
of stilbene analogues with IC<sub>50</sub> value in the range from
6.05 ± 0.05 to 116.10 ± 2.04 μM. In addition, (<i>trans</i>)-emodin-physcion bianthrone (<b>15b</b>) and
(<i>cis</i>)-emodin-physcion bianthrone (<b>15c</b>) were identified as potent PTP1B inhibitors with IC<sub>50</sub> values of 2.77 ± 1.23 and 7.29 ± 2.32 μM, respectively.
These findings show that P. cuspidatum is a potential functional food for management of type 2 diabetes
Dual High-Resolution α‑Glucosidase and Radical Scavenging Profiling Combined with HPLC-HRMS-SPE-NMR for Identification of Minor and Major Constituents Directly from the Crude Extract of <i>Pueraria lobata</i>
The crude methanol extract of <i>Pueraria lobata</i> was
investigated by dual high-resolution α-glucosidase inhibition
and radical scavenging profiling combined with hyphenated HPLC-HRMS-SPE-NMR.
Direct analysis of the crude extract without preceding purification
was facilitated by combining chromatograms from two analytical-scale
HPLC separations of 120 and 600 μg on-column, respectively.
High-resolution α-glucosidase and radical scavenging profiles
were obtained after microfractionation of the eluate in 96-well microplates.
This allowed full bioactivity profiling of individual peaks in the
HPLC chromatogram of the crude methanol extract. Subsequent HPLC-HRMS-SPE-NMR
analysis allowed identification of 21 known compounds in addition
to two new compounds, i.e., 3′-methoxydaidzein 8-<i>C</i>-[α-d-apiofuranosyl-(1→6)]-β-d-glucopyranoside and 6″-<i>O</i>-malonyl-3′-methoxydaidzin,
as well as an unstable compound tentatively identified as 3′-de-<i>O</i>-methylpuerariafuran
Advancing HPLC-PDA-HRMS-SPE-NMR Analysis of Coumarins in <i>Coleonema album</i> by Use of Orthogonal Reversed-Phase C<sub>18</sub> and Pentafluorophenyl Separations
A hyphenated procedure involving
high-performance liquid chromatography, photodiode array detection,
high-resolution mass spectrometry, solid-phase extraction, and nuclear
magnetic resonance spectroscopy, i.e., HPLC-PDA-HRMS-SPE-NMR, has
proven an effective technique for the identification of compounds
in complex matrices. Most HPLC-PDA-HRMS-SPE-NMR investigations reported
so far have relied on analytical-scale reversed-phase C<sub>18</sub> columns for separation. Herein is reported the use of an analytical-scale
pentafluorophenyl column as an orthogonal separation method following
fractionation of a crude ethyl acetate extract of leaves of <i>Coleonema album</i> on a preparative-scale C<sub>18</sub> column.
This setup allowed the HPLC-PDA-HRMS-SPE-NMR analysis of 23 coumarins,
including six new compounds, 8-<i>O-</i>β-d-glucopyranosyloxy-6-(2,3-dihydroxy-3-methylbut-1-yl)-7-methoxycoumarin
(<b>4</b>), (<i>Z</i>)-6-(4-β-d-glucopyranosyloxy-3-methylbut-2-en-1-yl)-7-hydroxycoumarin
(<b>6</b>), 6-(4-β-d-glucopyranosyloxy-3-methylbut-1-yl)-7-hydroxycoumarin
(<b>8</b>), (<i>Z</i>)-7-(4-β-d-glucopyranosyloxy-3-methylbut-2-en-1-yloxy)coumarin
(<b>13</b>), (<i>S</i>)-8-(3-chloro-2-hydroxy-3-methylbut-1-yloxy)-7-methoxycoumarin
(<b>19</b>), and 7-(3-chloro-2-hydroxy-3-methylbut-1-yloxy)coumarin
(<b>20</b>). The use of the pentafluorophenyl column even allowed
separation of several regioisomers that are usually difficult to separate
using reversed-phase C<sub>18</sub> columns. The phytochemical investigation
described for <i>C. album</i> in this report demonstrates
the potential and wide applicability of HPLC-PDA-HRMS-SPE-NMR for
accelerated structural identification of natural products in complex
mixtures
High-Resolution Screening Combined with HPLC-HRMS-SPE-NMR for Identification of Fungal Plasma Membrane H<sup>+</sup>‑ATPase Inhibitors from Plants
Crude
extracts of 33 plant species were assessed for fungal plasma
membrane (PM) H<sup>+</sup>-ATPase inhibition. This led to identification
of 18 extracts showing more than 95% inhibition at a concentration
of 7.5 mg/mL and/or a concentration-dependent activity profile. These
extracts were selected for semi-high-resolution fungal PM H<sup>+</sup>-ATPase inhibition screening, and, on the basis of these results, Haplocoelum foliolosum (Hiern) Bullock and Sauvagesia erecta L. were selected for investigation
by high-resolution fungal PM H<sup>+</sup>-ATPase inhibition screening.
Structural analysis performed by high-performance liquid chromatography-high-resolution
mass spectrometry-solid-phase extraction-nuclear magnetic resonance
spectroscopy (HPLC-HRMS-SPE-NMR) led to identification of chebulagic
acid (<b>1</b>) and tellimagrandin II (<b>2</b>) from H. foliolosum. Preparative-scale isolation of the
two metabolites allowed determination of IC<sub>50</sub> values for
PM H<sup>+</sup>-ATPase, and growth inhibition of Saccharomyces
cerevisiae and Candida albicans. Chebulagic acid and tellimagrandin II are both potent inhibitors
of the PM H<sup>+</sup>-ATPase with inhibitory effect on the growth
of S. cerevisiae
Commercially obtained compounds that were tested in this study.
<p>Commercially obtained compounds that were tested in this study.</p
The effect of anti-VEGF and various concentrations of N-methyllevamisole (7a) and suramin (5) recorded in the in vitro angiogenesis assay performed with HUVECs growing on a fibroblast monolayer.
<p>The images show HUVECs visualized by immunostaining for CD31 after treatment with: <i>A)</i> 1 mM <i>N</i>-methyllevamisole triflate (7a); <i>B)</i> 0.5 mM <i>N</i>-methyllevamisole triflate (<b>7a</b>); <i>C)</i> 0.25 mM <i>N</i>-methyllevamisole triflate (<b>7a</b>); <i>D)</i> 0.13 mM <i>N</i>-methyllevamisole triflate (<b>7a</b>); <i>E)</i> 0.06 mM <i>N</i>-methyllevamisole triflate (<b>7a</b>); <i>F)</i> 0.03 mM <i>N</i>-methyllevamisole triflate (<b>7a</b>); <i>G)</i> 0.02 mM <i>N</i>-methyllevamisole triflate (<b>7a</b>); <i>H)</i> 0.1 % DMSO (the control was diluted 1∶1000 corresponding the concentration of DMSO present in A); <i>I)</i> 5 μg/mL goat anti-recombinant human VEGF; <i>J)</i> 12 μM suramin (<b>5</b>); <i>K)</i> 1.5 μM suramin (<b>5</b>); <i>L)</i> medium (control); <i>M)</i> 10 mM BIS-TRIS; <i>N)</i> 10 mM BICINE; <i>O)</i> 10 mM <i>N</i>-methylimidazole; <i>P)</i> 1 mM <i>N</i>-methylimidazole.</p
Results of in vitro angiogenesis inhibition of levamisole and its derivatives in comparison with suramin (5), vehicle (DMSO), and medium alone, as observed by HUVEC number and morphology.
a<p>Percent of the area covered by HUVEC as observed by CD31 staining.</p>b<p><i>Clusters</i> refer to morphologies where several cells that form round or elongated clusters; <i>Cords</i> refer to morphologies where single to a few cells form cord-like structures without forming a network.</p>c<p>(++++) = clusters with area <4%; (+++) = cords with area <4%; (++) = clusters with area >4%; (+) = intermediate morphologies and varying area percentages.</p