STUDI IN SILICO: EFEKTIVITAS SENYAWA SIRIH CINA ANALISIS GC-MS  SEBAGAI ANTI DIABETES TIPE 2: STUDI IN SILICO: EFEKTIVITAS SENYAWA SIRIH CINA ANALISIS GC-MS SEBAGAI ANTI DIABETES TIPE 2

Vincensius  Christian; Indra Priawan; Muhamad  Satria Sanjaya Hutagalung; Christian Farrell Kosasih; Deva Dian Pramudya; Bintang Junior

doi:10.51771/fj.v6i02.2252

Authors

Vincensius Christian Universitas Bangka Belitung
Indra Priawan Universitas Bangka Belitung https://orcid.org/0000-0002-8929-4281
Muhamad Satria Sanjaya Hutagalung Universitas Bangka Belitung https://orcid.org/0009-0004-1050-0938
Christian Farrell Kosasih Universitas Bangka Belitung https://orcid.org/0009-0008-7371-7789
Deva Dian Pramudya Universitas Bangka Belitung https://orcid.org/0009-0003-1147-6493
Bintang Junior Universitas Bangka Belitung

DOI:

https://doi.org/10.51771/fj.v6i02.2252

Keywords:

T2DM, Peperomia pellucida L. Kunth, PPAR-γ, α-glucosidase, SGLT-2

Abstract

Type 2 diabetes mellitus (T2DM) is a metabolic disease characterized by elevated blood glucose levels (hyperglycemia). According to the World Health Organization (WHO), the global prevalence of diabetes mellitus has continued to increase. This is consistent with the 2023 Indonesian Health Survey (SKI), which reported that the prevalence of type 2 diabetes mellitus in Indonesia reached 1.7%, representing an increase compared to the previous survey in 2018, which reported a prevalence of 1.5%. This condition necessitates the development of safer and more effective therapeutic alternatives. Therefore, this study aimed to identify the bioactive compounds of Peperomia pellucida (L.) Kunth leaves through GC-MS analysis and to evaluate their potential against T2DM target proteins, namely PPAR-γ, α-glucosidase, and SGLT-2, using an insilico approach. The GC-MS analysis identified phytol and dillapiole as the dominant compounds. Molecular docking results showed that no active compound exhibited a higher binding affinity than Rosiglitazone toward PPAR-γ. In contrast, for α-glucosidase, phytol, neophytadiene, and geranyllinalool demonstrated higher rerank scores than Miglitol, while dillapiole exhibited the highest similarity in interacting residues. For SGLT-2, several compounds, namely neophytadiene, geranyllinalool, and tetracosane, showed higher rerank scores than Empagliflozin. Lipinski's rule of five indicated that most compounds met the drug-likeness criteria, including dillapiole, caryophyllene, tadalafil, spathulenol, and lepidozene. Overall, these findings indicate that the bioactive compounds identified from the GC-MS analysis of Peperomia pellucida leaves have the potential to serve as antidiabetic candidates through a multitarget mechanism.

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IN SILICO STUDY: ANTIDIABETIC POTENTIAL OF CHINESE BETEL (Peperomia pellucida) COMPOUNDS IDENTIFIED VIA GC-MS ANALYSIS AGAINST TYPE 2 DIABETES