Targeting Hypoglycemic Natural Products from the Cloud Forest Plants Using Chemotaxonomic Computer-Assisted Selection DOI Open Access
Cecilia I. Mayo-Montor, Abraham Vidal‐Limon, Víctor M. Loyola‐Vargas

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(20), P. 10881 - 10881

Published: Oct. 10, 2024

The cloud forest (CF), a hugely biodiverse ecosystem, is hotspot of unexplored plants with potential for discovering pharmacologically active compounds. Without sufficient ethnopharmacological information, developing strategies rationally selecting experimental studies crucial. With this goal, CF metabolites library was created, and ligand-based virtual screening conducted to identify molecules hypoglycemic activity. From the most promising botanical families, were collected, methanolic extracts prepared, activity evaluated through in vitro enzyme inhibition assays on α-amylase, α-glucosidase, dipeptidyl peptidase IV (DPP-IV). Metabolomic analyses performed dominant species best inhibitory profile, their affinity molecular targets using ensemble docking. This strategy led identification twelve (in four families)

Language: Английский

A Review on the in Vitro and in Vivo Screening of α-Glucosidase Inhibitors DOI Creative Commons

Guangjuan Pan,

Yantong Lu,

Zhiying Wei

et al.

Heliyon, Journal Year: 2024, Volume and Issue: unknown, P. e37467 - e37467

Published: Sept. 1, 2024

Language: Английский

Citations

4
Rapid screening of acetylcholinesterase inhibitors in Qi-Fu-Yin using magnetic metal–organic frameworks immobilized with acetylcholinesterase DOI
Hengyu Li, Hongwei Zhao, Lingxiao Chen

et al.

Bioorganic Chemistry, Journal Year: 2025, Volume and Issue: 156, P. 108183 - 108183

Published: Jan. 17, 2025

Language: Английский

Citations

0
Magnetic beads‐based ligand fishing for rapid screening of dietary α‐glucosidase inhibitory ligands from the rhizome of Alpinia officinarum Hance combined with molecular docking DOI Open Access
Bing‐Rui Liu, Wenxiang Hu, Haijie Li

et al.

Journal of the Science of Food and Agriculture, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Abstract BACKGROUND The rhizome of Alpinia officinarum Hance, considered as a medicinal and edible plant, is gathering increasing attention natural source for exploring dietary α‐glucosidase inhibitors. Magnetic beads‐based ligand fishing has shown great promise accelerating identification bioactive constituents from complex plant extracts. However, immobilization efficiency stability when using different aldehyde‐activated magnetic beads still unclear. Moreover, non‐specific binding hampers characterization inhibitory ligands. RESULTS Immobilized enzymes on 3‐carbon linker length (AG NTC ‐ 3 MB) 21‐carbon 21 supports were synthesized, respectively. highest 91.13 ± 0.40% was observed the mass ratio MBs‐C21 to 10:1. catalytic activity AG MB four‐ eight‐fold higher than that MB. Additionally, after 56 days, retained 73.4–90.3% – more stable (18.2–32.2%). In proof‐of‐concept study, MB‐based led 12 Among them, two flavonoids kaempferol ( 1 ), galangin 6 ) three diarylheptanoids 7‐(4‐hydroxyphenyl)‐1‐phenyl‐4‐hepten‐3‐one 9 7‐(4‐hydroxy‐3‐methoxyphenyl)‐1‐henylhept‐4‐en‐3‐one 11 1,7‐diphenyl‐4‐hepten‐3‐one 15 exhibited significant activity, with IC 50 values in range 23.6 0.7 146.2 3.8 μmol L −1 , showing mixed‐type behavior K i ranging 42.6 2.0 786.0 13.9 . Molecular docking showed compounds bind by H‐bonds, electrostatic hydrophobic interactions. CONCLUSION Aldehyde‐activated are superior terms immobilized efficiency, enzymatic stability. combined high‐performance liquid chromatography–quadrupole time‐of‐flight–mass spectrometry molecular constitute an effective robust bioanalytical technology platform analyzing antidiabetic composition A Flavonoids responsible effect methanolic extract. pharmacological chemical profiles support further research aim developing A. into functional food prevention management type 2 diabetes related complications. © 2025 Society Chemical Industry.

Language: Английский

Citations

0
Advancements in screening systems for active ingredients in traditional Chinese medicines using ligand fishing technique DOI
Yi Qin, Ying Yan, Jie Zhou

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 117983 - 117983

Published: Sept. 1, 2024

Language: Английский

Citations

2
Co-immobilization of Cellulase and Glucose Oxidase Layer-by-Layer and Chain Catalytic Reaction DOI
Nan Shen,

Shaofeng Hua

Catalysis Letters, Journal Year: 2024, Volume and Issue: 154(10), P. 5698 - 5708

Published: June 25, 2024

Language: Английский

Citations

1
In vitro anti-inflammatory activity of Malus × domestica var. Mela Rosa Marchigiana pulp callus extract contrasting high glucose conditions DOI Creative Commons
Leila Benayada, Federica Gubitosa, Daniele Fraternale

et al.

Journal of Functional Foods, Journal Year: 2024, Volume and Issue: 121, P. 106420 - 106420

Published: Aug. 24, 2024

Language: Английский

Citations

0
Targeting Hypoglycemic Natural Products from the Cloud Forest Plants Using Chemotaxonomic Computer-Assisted Selection DOI Open Access
Cecilia I. Mayo-Montor, Abraham Vidal‐Limon, Víctor M. Loyola‐Vargas

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(20), P. 10881 - 10881

Published: Oct. 10, 2024

The cloud forest (CF), a hugely biodiverse ecosystem, is hotspot of unexplored plants with potential for discovering pharmacologically active compounds. Without sufficient ethnopharmacological information, developing strategies rationally selecting experimental studies crucial. With this goal, CF metabolites library was created, and ligand-based virtual screening conducted to identify molecules hypoglycemic activity. From the most promising botanical families, were collected, methanolic extracts prepared, activity evaluated through in vitro enzyme inhibition assays on α-amylase, α-glucosidase, dipeptidyl peptidase IV (DPP-IV). Metabolomic analyses performed dominant species best inhibitory profile, their affinity molecular targets using ensemble docking. This strategy led identification twelve (in four families)

Language: Английский

Citations

0