Hypoglycemic effect and bioactive compounds associated with the ripening stages of the Cucurbita ficifolia Bouché fruit

2020 ◽  
Vol 100 (14) ◽  
pp. 5171-5181
Author(s):  
Araceli Moya‐Hernández ◽  
Elsa Bosquez‐Molina ◽  
José Ramón Verde‐Calvo ◽  
Gerardo Blancas‐Flores ◽  
Gloria Maribel Trejo‐Aguilar
Keyword(s):  
Bioactive Compounds ◽  
Hypoglycemic Effect ◽  
Ripening Stages ◽  
Cucurbita Ficifolia

Characterization and oxidative stability of oils and bioactive compounds of the fruits of Byrsonima cydoniifolia A. Juss. at different ripening stages

2019 ◽  
Vol 99 (6) ◽  
pp. 2855-2864 ◽  
Author(s):  
Gabriela Marcelino ◽  
Juliana R Donadon ◽  
Anderson RL Caires ◽  
Flavio S Michels ◽  
Lincoln CS Oliveira ◽  
...  
Keyword(s):  
Oxidative Stability ◽  
Bioactive Compounds ◽  
Ripening Stages

Bioactive compounds of fruit parts of three Eugenia uniflora biotypes in four ripening stages

2021 ◽  
Author(s):  
SUZANA C. SANTOS ◽  
Marx O. A. Pereira ◽  
Karoline B. Santos ◽  
Pedro H. Ferri
Keyword(s):  
Bioactive Compounds ◽  
Eugenia Uniflora ◽  
Ripening Stages

scholarly journals Systemic Elucidate The Potential Bioactive Compounds and Hypoglycemic Mechanism of Polygonum Multiflorum Based on Network Pharmacology

2020 ◽  
Author(s):  
Yunfei Song ◽  
Jianbo Yang ◽  
Wenguang Jing ◽  
Qi Wang ◽  
Yue Liu ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Bioactive Compounds ◽  
Acid Metabolism ◽  
Osteoclast Differentiation ◽  
Interaction Network ◽  
Arachidonic Acid Metabolism ◽  
Hypoglycemic Effect ◽  
Estrogen Signaling ◽  
Network Pharmacology ◽  
Polygonum Multiflorum

Abstract Background: Diabetes is a complex metabolic disease characterized by hyperglycemia, plaguing the whole world. However, the action mode of multi-component and multi-target for traditional Chinese medicine (TCM) could be a promising treatment of diabetes mellitus. According to the previous research, the TCM of polygonum multiflorum (PM) showed noteworthy hypoglycemic effect. Up to now, its hypoglycemic active ingredients and mechanism of action are not yet clear. In this study, network pharmacology was employed to elucidate the potential bioactive compounds and hypoglycemic mechanism of Polygonum multiflorum (PM).Methods: First, the compounds with good pharmacokinetic properties were screened from the self-established library of PM, and the targets of these compounds were predicted and collected through database. Relevant targets of diabetes were summarized by searching database. The intersection targets of compound-targets and disease-targets were obtained soon. Secondly, the interaction net between the compounds and the filtered targets was established. These key targets were enriched and analyzed by PPI analysis, molecular docking verification. Finally, the key genes were used to find the biologic pathway and explain the therapeutic mechanism by GO and KEGG analysis. Results: In this study, 29 hypoglycemic components and 63 hypoglycemic targets of PM were filtrated based on online network database. Then the component-target interaction network was constructed and five key components resveratrol, apigenin, kaempferol, quercetin and luteolin were further obtained. Sequential studies turned out, AKT1, EGFR, ESR1, PTGS2, MMP9, MAPK14, and KDR were the common key targets. Docking studies indicated that the bioactive compounds could stably bind the pockets of target proteins. There were 38 metabolic pathways, including regulation of lipolysis in adipocytes, prolactin signaling pathway, TNF signaling pathway, VEGF signaling pathway, FoxO signaling pathway, estrogen signaling pathway, linoleic acid metabolism, Rap1 signaling pathway, arachidonic acid metabolism, and osteoclast differentiation closely connected with the hypoglycemic mechanism of PM.Conclusion: In summary, the study used systems pharmacology to elucidate the main hypoglycemic components and mechanism of PM. The work provided a scientific basis for the further hypoglycemic effect research of PM and its monomer components, but also provided a reference for the secondary development of PM.

scholarly journals Systemic elucidation on the potential bioactive compounds and hypoglycemic mechanism of Polygonum multiflorum based on network pharmacology

2020 ◽  
Author(s):  
Yunfei Song ◽  
Jianbo Yang ◽  
Wenguang Jing ◽  
Qi Wang ◽  
Yue Liu ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Bioactive Compounds ◽  
Acid Metabolism ◽  
Osteoclast Differentiation ◽  
Interaction Network ◽  
Arachidonic Acid Metabolism ◽  
Hypoglycemic Effect ◽  
Estrogen Signaling ◽  
Network Pharmacology ◽  
Polygonum Multiflorum

Abstract Background: Diabetes is a complex metabolic disease characterized by hyperglycemia, plaguing the whole world. However, the action mode of multi-component and multi-target for traditional Chinese medicine (TCM) could be a promising treatment of diabetes mellitus. According to the previous research, the TCM of polygonum multiflorum (PM) showed noteworthy hypoglycemic effect. Up to now, its hypoglycemic active ingredients and mechanism of action are not yet clear. In this study, network pharmacology was employed to elucidate the potential bioactive compounds and hypoglycemic mechanism of Polygonum multiflorum (PM).Methods: First, the compounds with good pharmacokinetic properties were screened from the self-established library of PM, and the targets of these compounds were predicted and collected through database. Relevant targets of diabetes were summarized by searching database. The intersection targets of compound-targets and disease-targets were obtained soon. Secondly, the interaction net between the compounds and the filtered targets was established. These key targets were enriched and analyzed by PPI analysis, molecular docking verification. Thirdly, the key genes were used to find the biologic pathway and explain the therapeutic mechanism by GO and KEGG analysis. Lastly, the part of potential bioactive compounds were under enzyme activity inhibition tests.Results: In this study, 29 hypoglycemic components and 63 hypoglycemic targets of PM were filtrated based on online network database. Then the component-target interaction network was constructed and five key components resveratrol, apigenin, kaempferol, quercetin and luteolin were further obtained. Sequential studies turned out, AKT1, EGFR, ESR1, PTGS2, MMP9, MAPK14, and KDR were the common key targets. Docking studies indicated that the bioactive compounds could stably bind the pockets of target proteins. There were 38 metabolic pathways, including regulation of lipolysis in adipocytes, prolactin signaling pathway, TNF signaling pathway, VEGF signaling pathway, FoxO signaling pathway, estrogen signaling pathway, linoleic acid metabolism, Rap1 signaling pathway, arachidonic acid metabolism, and osteoclast differentiation closely connected with the hypoglycemic mechanism of PM.Conclusion: In summary, the study used systems pharmacology to elucidate the main hypoglycemic components and mechanism of PM. The work provided a scientific basis for the further hypoglycemic effect research of PM and its monomer components, but also provided a reference for the secondary development of PM.

scholarly journals Analysis of genetic diversity of Cucurbita ficifolia Bouché from different regions of Mexico, using AFLP markers and study of its hypoglycemic effect in mice

2018 ◽  
Vol 116 ◽  
pp. 110-115 ◽  
Author(s):  
A. Moya-Hernández ◽  
E. Bosquez-Molina ◽  
A. Serrato-Díaz ◽  
G. Blancas-Flores ◽  
F.J. Alarcón-Aguilar
Keyword(s):  
Genetic Diversity ◽  
Aflp Markers ◽  
Hypoglycemic Effect ◽  
Cucurbita Ficifolia

scholarly journals Effect of different ripening stages on bioactive compounds and antioxidant capacity of wild Rosa laevigata Michx

2016 ◽  
Vol 36 (3) ◽  
pp. 396-400 ◽  
Author(s):  
Guofang XIE ◽  
Jiajia WANG ◽  
Xiaoyan XU ◽  
Rui WANG ◽  
Xiaoli ZHOU ◽  
...  
Keyword(s):  
Antioxidant Capacity ◽  
Bioactive Compounds ◽  
Ripening Stages ◽  
Rosa Laevigata

Antioxidant bioactive compounds in tomato fruits at different ripening stages and their effects on normal and cancer cells

2015 ◽  
Vol 18 ◽  
pp. 83-94 ◽  
Author(s):  
Rita Del Giudice ◽  
Assunta Raiola ◽  
Gian Carlo Tenore ◽  
Luigi Frusciante ◽  
Amalia Barone ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Bioactive Compounds ◽  
Tomato Fruits ◽  
Ripening Stages

scholarly journals Systemic elucidate the potential bioactive compounds and hypoglycemic mechanism of Polygonum multiflorum based on network pharmacology

2020 ◽  
Author(s):  
Yunfei Song ◽  
Jianbo Yang ◽  
Wenguang Jing ◽  
Qi Wang ◽  
Yue Liu ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Bioactive Compounds ◽  
Acid Metabolism ◽  
Osteoclast Differentiation ◽  
Interaction Network ◽  
Arachidonic Acid Metabolism ◽  
Hypoglycemic Effect ◽  
Estrogen Signaling ◽  
Network Pharmacology ◽  
Polygonum Multiflorum

Abstract Background: Diabetes is a complex metabolic disease characterized by hyperglycemia, plaguing the whole world. However, the action mode of multi-component and multi-target for traditional Chinese medicine (TCM) could be a promising treatment of diabetes mellitus. According to the previous research, the TCM of polygonum multiflorum (PM) showed noteworthy hypoglycemic effect. Up to now, its hypoglycemic active ingredients and mechanism of action are not yet clear. In this study, network pharmacology was employed to elucidate the potential bioactive compounds and hypoglycemic mechanism of Polygonum multiflorum (PM).Methods: First, the compounds with good pharmacokinetic properties were screened from the self-established library of PM, and the targets of these compounds were predicted and collected through database. Relevant targets of diabetes were summarized by searching database. The intersection targets of compound-targets and disease-targets were obtained soon. Secondly, the interaction net between the compounds and the filtered targets was established. These key targets were enriched and analyzed by PPI analysis, molecular docking verification. Finally, the key genes were used to find the biologic pathway and explain the therapeutic mechanism by GO and KEGG analysis. Results: In this study, 29 hypoglycemic components and 63 hypoglycemic targets of PM were filtrated based on online network database. Then the component-target interaction network was constructed and five key components resveratrol, apigenin, kaempferol, quercetin and luteolin were further obtained. Sequential studies turned out, AKT1, EGFR, ESR1, PTGS2, MMP9, MAPK14, and KDR were the common key targets. Docking studies indicated that the bioactive compounds could stably bind the pockets of target proteins. There were 38 metabolic pathways, including regulation of lipolysis in adipocytes, prolactin signaling pathway, TNF signaling pathway, VEGF signaling pathway, FoxO signaling pathway, estrogen signaling pathway, linoleic acid metabolism, Rap1 signaling pathway, arachidonic acid metabolism, and osteoclast differentiation closely connected with the hypoglycemic mechanism of PM.Conclusion: In summary, the study used systems pharmacology to elucidate the main hypoglycemic components and mechanism of PM. The work provided a scientific basis for the further hypoglycemic effect research of PM and its monomer components, but also provided a reference for the secondary development of PM.

Evaluation of the hypoglycemic effect of Cucurbita ficifolia Bouché (Cucurbitaceae) in different experimental models

2002 ◽  
Vol 82 (2-3) ◽  
pp. 185-189 ◽  
Author(s):  
F.J Alarcon-Aguilar ◽  
E Hernandez-Galicia ◽  
A.E Campos-Sepulveda ◽  
S Xolalpa-Molina ◽  
J.F Rivas-Vilchis ◽  
...  
Keyword(s):  
Experimental Models ◽  
Hypoglycemic Effect ◽  
Cucurbita Ficifolia
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