Metabolomics combined to chemometrics reveals the putative α-glucosidase and α-amylase inhibitory metabolites of ground cherry (Physalis pruinosa L.)

Mahana, Asmaa; Hammoda, Hala M.; Harraz, Fathalla M.; Shawky, Eman

doi:10.1016/j.foodres.2022.111903

Cited by 7 publications

(5 citation statements)

References 39 publications

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“…By comparing the α-amylase inhibitory activity of all samples, we found that S4 (IC 50 = 130.93 ± 0.8 µg/mL) exhibited the strongest α-amylase inhibitory activity, while sample P exhibited the weakest inhibitory activity (Figure 4B). In previous studies, it was reported that differences in the content of active components among different plant tissues may cause the differences of α-amylase inhibition among samples [29]. The relationship between differentially accumulated metabolites (DAMs) and inhibition of enzyme activity is worthy of exploration in the future.…”

Section: Inhibition Of α-Glucosidase and α-Amylase Activity Of Tree P...mentioning

confidence: 99%

Metabolite Profiling and Biological Activity Assessment of Paeonia ostii Anthers and Pollen Using UPLC-QTOF-MS

Jiang,

Li,

Huang

et al. 2024

IJMS

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Paeonia ostii is an important economic oil and medicinal crop. Its anthers are often used to make tea in China with beneficial effects on human health. However, the metabolite profiles, as well as potential biological activities of P. ostii anthers and the pollen within anthers have not been systematically analyzed, which hinders the improvement of P. ostii utilization. With comprehensive untargeted metabolomic analysis using UPLC-QTOF-MS, we identified a total of 105 metabolites in anthers and pollen, mainly including phenylpropanoids, polyketides, organic acids, benzenoids, lipids, and organic oxygen compounds. Multivariate statistical analysis revealed the metabolite differences between anthers and pollen, with higher carbohydrates and flavonoids content in pollen and higher phenolic content in anthers. Meanwhile, both anthers and pollen extracts exhibited antioxidant activity, antibacterial activity, α-glucosidase and α-amylase inhibitory activity. In general, the anther stage of S4 showed the highest biological activity among all samples. This study illuminated the metabolites and biological activities of anthers and pollen of P. ostii, which supports the further utilization of them.

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Section: Inhibition Of α-Glucosidase and α-Amylase Activity Of Tree P...mentioning

confidence: 99%

Metabolite Profiling and Biological Activity Assessment of Paeonia ostii Anthers and Pollen Using UPLC-QTOF-MS

Jiang,

Li,

Huang

et al. 2024

IJMS

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“…Metabolomics, in combination with chemometrics, has identified several potential α-glucosidase and α-amylase inhibitory metabolites in P. pruinosa . Physangulide B, physaperuvin G, and neophysalin A were found to be positively correlated with α-glucosidase inhibition activity, while guaiacyl-primeveroside, phyperunolide C, and perulactone were found to be positively correlated with α-amylase inhibitory activity ( Mahana et al., 2022 ). Using LC-ESI/LTQOrbitrap/MS followed by LC-ESI/LTQOrbitrap/MS/MS technique, 58 phytocompounds were identified in the calyx ad fruit of yellow P. alkekengi ( Crescenzi et al., 2023 ).…”

Section: Application Of Omics In Physalis Studymentioning

confidence: 99%

Advances in Physalis molecular research: applications in authentication, genetic diversity, phylogenetics, functional genes, and omics

Jiang,

Jin,

Shan

et al. 2024

Front. Plant Sci.

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The plants of the genus Physalis L. have been extensively utilized in traditional and indigenous Chinese medicinal practices for treating a variety of ailments, including dermatitis, malaria, asthma, hepatitis, and liver disorders. The present review aims to achieve a comprehensive and up-to-date investigation of the genus Physalis, a new model crop, to understand plant diversity and fruit development. Several chloroplast DNA-, nuclear ribosomal DNA-, and genomic DNA-based markers, such as psbA-trnH, internal-transcribed spacer (ITS), simple sequence repeat (SSR), random amplified microsatellites (RAMS), sequence-characterized amplified region (SCAR), and single nucleotide polymorphism (SNP), were developed for molecular identification, genetic diversity, and phylogenetic studies of Physalis species. A large number of functional genes involved in inflated calyx syndrome development (AP2-L, MPF2, MPF3, and MAGO), organ growth (AG1, AG2, POS1, and CNR1), and active ingredient metabolism (24ISO, DHCRT, P450-CPL, SR, DUF538, TAS14, and 3β-HSB) were identified contributing to the breeding of novel Physalis varieties. Various omic studies revealed and functionally identified a series of reproductive organ development-related factors, environmental stress-responsive genes, and active component biosynthesis-related enzymes. The chromosome-level genomes of Physalis floridana Rydb., Physalis grisea (Waterf.) M. Martínez, and Physalis pruinosa L. have been recently published providing a valuable resource for genome editing in Physalis crops. Our review summarizes the recent progress in genetic diversity, molecular identification, phylogenetics, functional genes, and the application of omics in the genus Physalis and accelerates efficient utilization of this traditional herb.

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“…The supernatants were diluted to different concentrations for the DPPH, ABTS, FRAP (10) and α-glucosidase (11) bioactivity assay with slight modifications based on literatures. All experiments were carried out independently and repeated more than three times, and the experimental data were expressed as mean ± standard deviation.…”

Section: Evaluation Of Bioactivitymentioning

confidence: 99%

“…Three common diCQAs subclasses were annotated: di-caffeoylquinic acids (diCQA) at m/z 515, hydroxydihydro-caffeoylcaffeolylquinic acids (HC-CQA) at m/z 533 and caffeoylquinic lactone (diCQL). Peaks (10)(11)(12)(13)(14)(15)(16)(17)(18)(19) have been identified with the same fragment ions at m/z 515 [M-H] − (C 25 H 24 O 12 ), and their MS 2 spectra at m/z 353 [M-H-caffeoyl] − suggested they were diCQA. The elution order of the diCQA isomers was 1,3-diCQA > 1,4-diCQA > 3,4-diCQA > 1,5-diCQA > 3,5-diCQA > 4,5-diCQA (3), and compared to the reference standards, they were, respectively, identified.…”

Section: Caffeoylquinic Acids and Derivativesmentioning

confidence: 99%

Comparative bioactivity evaluation and metabolic profiling of different parts of Duhaldea nervosa based on GC-MS and LC-MS

Zhao,

Li,

et al. 2023

Front. Nutr.

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Duhaldea nervosa (Wallich ex Candolle) Anderberg has been widely used as medicine and food additive in China for a long history. Its roots, known as Xiaoheiyao, are the mainly used medicinal part, while the other tissues of D. nervosa are ignored as non-medicinal parts despite their high biomass, resulting in a huge waste of resources. To mine and expand the medicinal values of different parts of D. nervosa, metabolic analysis by GC/LC-MS and bioactivity evaluation were performed. Based on the antioxidant activity and correlation analysis, a metabolite-related network was constructed. A total of 45 volatile and 174 non-volatile compounds were identified. Among them, caffeoylquinic acids and derivatives were more abundant in roots and flowers, while coumaroyltartaric acids and derivatives were mainly present in stems and leaves. By multivariate analysis, 13 volatile and 37 non-volatile differential metabolites were found, respectively. In the bioactivity evaluation of different parts, the order of antioxidant capacity was flowers > roots > leaves or stems. The flowers showed the highest FRAP value (354.47 μM TE/g DW) and the lowest IC50 values in the DPPH (0.06 mg/mL) and ABTS (0.19 mg/mL) assay, while higher inhibitory activity against α-glucosidase was exhibited by flowers and leaves. This study first established the similarities and differences of phytochemicals and bioactivities in D. nervosa, providing a scientific basis for developing non-medicinal parts and guiding the clinical application of this medicinal and edible herb.

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Metabolomics combined to chemometrics reveals the putative α-glucosidase and α-amylase inhibitory metabolites of ground cherry (Physalis pruinosa L.)

Cited by 7 publications

References 39 publications

Metabolite Profiling and Biological Activity Assessment of Paeonia ostii Anthers and Pollen Using UPLC-QTOF-MS

Metabolite Profiling and Biological Activity Assessment of Paeonia ostii Anthers and Pollen Using UPLC-QTOF-MS

Advances in Physalis molecular research: applications in authentication, genetic diversity, phylogenetics, functional genes, and omics

Comparative bioactivity evaluation and metabolic profiling of different parts of Duhaldea nervosa based on GC-MS and LC-MS

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