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The Potency of Ficus deltoidei Jack Bioactive as An Antidiabetic Treament: In Silico Study Wahyurini, Dyahati; Clarinta Putri, Rizky; Wardani Hakim, Rani; Wibowo, Heri
Pharmaceutical Journal of Indonesia Vol. 9 No. 2 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pji.2024.009.02.2

Abstract

Background: Type 2 Diabetes Mellitus (T2DM) is a metabolic disease with an increasing prevalence. T2DM is related to chronic low-grade inflammation or meta-inflammation conditions. Nowadays, treatment begins to target the molecules or proteins involved in T2DM. Peroxisome Proliferator Activator Receptor gamma (PPAR-γ) is one of the proteins involved in T2DM. The Herbal is a potential solution to finding molecular medicine with bioactive compounds. Extract from Tabat Barito (Ficus deltoidea Jack) has proven as antidiabetic. It has many bioactive compounds and can be analyzed using software and molecular docking. This research aims to analyze the biological and pharmacological bioactive compounds of Ficus deltoidea Jack as an antidiabetic. Methods: The bioactive compounds of Ficus deltoidea Jack were determined from the literature. PASS (Prediction of Activity Spectra for Substances) was used to analyze the bioactive compounds. SwissADME was used to know the pharmacology properties Molecular docking was used to find the interaction between bioactive compounds and PPAR-γ. Results: Ficus deltoidea Jack has many bioactive compounds. Lupeol, Vitexin, and Isovitexin were chosen to advance analysis using PASS and SwissADME. All of them had antidiabetic activity. SwissADME was used to identify the pharmacology properties. The result, every bioactive compound has its specific characteristics. Molecular docking showed that Vitexin is the best, with ΔGibbs - 6.59kcal/mol and Inhibition constant (Ki) 14.77 µM. Conclusions: Ficus deltoidea Jack consists of many bioactive compounds. Vitexin and Isovitexin are potential as an antidiabetic. From the docking results, the strongest interaction is Vitexin.
The Potency of Ficus deltoidei Jack Bioactive as An Antidiabetic Treament: In Silico Study Wahyurini, Dyahati; Clarinta Putri, Rizky; Wardani Hakim, Rani; Wibowo, Heri
Pharmaceutical Journal of Indonesia Vol. 9 No. 2 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pji.2024.009.02.2

Abstract

Background: Type 2 Diabetes Mellitus (T2DM) is a metabolic disease with an increasing prevalence. T2DM is related to chronic low-grade inflammation or meta-inflammation conditions. Nowadays, treatment begins to target the molecules or proteins involved in T2DM. Peroxisome Proliferator Activator Receptor gamma (PPAR-γ) is one of the proteins involved in T2DM. The Herbal is a potential solution to finding molecular medicine with bioactive compounds. Extract from Tabat Barito (Ficus deltoidea Jack) has proven as antidiabetic. It has many bioactive compounds and can be analyzed using software and molecular docking. This research aims to analyze the biological and pharmacological bioactive compounds of Ficus deltoidea Jack as an antidiabetic. Methods: The bioactive compounds of Ficus deltoidea Jack were determined from the literature. PASS (Prediction of Activity Spectra for Substances) was used to analyze the bioactive compounds. SwissADME was used to know the pharmacology properties Molecular docking was used to find the interaction between bioactive compounds and PPAR-γ. Results: Ficus deltoidea Jack has many bioactive compounds. Lupeol, Vitexin, and Isovitexin were chosen to advance analysis using PASS and SwissADME. All of them had antidiabetic activity. SwissADME was used to identify the pharmacology properties. The result, every bioactive compound has its specific characteristics. Molecular docking showed that Vitexin is the best, with ΔGibbs - 6.59kcal/mol and Inhibition constant (Ki) 14.77 µM. Conclusions: Ficus deltoidea Jack consists of many bioactive compounds. Vitexin and Isovitexin are potential as an antidiabetic. From the docking results, the strongest interaction is Vitexin.
Pengaruh Riwayat Keparahan COVID-19 terhadap TNF-α dan IFN-γ Monosit Pasien Diabetes Melitus Tipe 2 Wahyurini, Dyahati; Tahapary, Dicky L; Wibowo, Heri
Majalah Kedokteran Indonesia Vol 74 No 2 (2024): Journal of The Indonesian Medical Association - Majalah Kedokteran Indonesia, Vo
Publisher : PENGURUS BESAR IKATAN DOKTER INDONESIA (PB IDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47830/jinma-vol.74.2-2024-1280

Abstract

Introduction: Monocytes are very sensitive to changes in the metabolic environment, including hyperglycemia, such as type 2 diabetes mellitus (T2DM). T2DM is characterized by chronic low-grade inflammation and becomes one COVID-19 comorbid. TNF-α and IFN-γ are cytokines often linked to inflammation, the severity of COVID-19, and long COVID-19. This study aims to analyze the relationship between COVID-19 severity and TNF-α and IFN-γ in T2DM one month post-infection.Methods: This research is an experimental study at the Integrated Laboratory Faculty of Medicine, Universitas Indonesia, for four months. The total samples are 44 cryotubes of PBMC (18 T2DM and 26 Non-T2DM) from the CARAMEL study (COVID-19, Aging, and Cardiometabolic Risk Factors). PBMCs were stimulated with inactivated whole virions SARS-CoV-2 and incubated for 24 hours. Monocyte subsets and intracellular cytokines are detected by flow cytometry.Results: Research showed that IFN-γ in the T2DM group was higher in all subsets. There was no significant difference between the T2DM and non-T2DM groups. Based on the history of the severity of COVID-19, MedFI IFN-γ classic and intermediate monocytes differed significantly between the COVID-19 severity groups (p = 0.049 and p = 0.022). Further research is needed to analyze the risk factors involved.Conclusion: MedFI of classic and intermediate monocyte IFN-γ differed significantly between the severity of COVID-19. There were no significant differences between the T2DM and non-T2DM groups. The history of the severity of COVID-19 is significantly related to long COVID-19.