Claim Missing Document
Check
Articles

Found 24 Documents
Search

Minyak Ikan dari Limbah Pengalengan Ikan Berpotensi Menurunkan Ekspresi Penanda Inflamasi pada Proses Keganasan Kolon Mencit yang Diinduksi Azoksimetan dan Dextran Sodium Sulfate Kusmardi1; Aryo Tedjo
Majalah Patologi Indonesia Vol. 28 No. 2, Mei 2019
Publisher : Perhimpunan Dokter Spesialis Patologi Anatomik Indonesia (PDSPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRAKStudi epidemiologi yang menghubungkan diet minyak ikan diet dengan risiko kanker kolorektal telah banyakdilaporkan walaupun hasinya tidak konsisten. Kebanyakan laporan menunjukkan adanya hubungan yangpositif. Penelitian ini dilakukan untuk memahami efek penghambatan minyak ikan yang diperoleh dari sisaproduk pengalengan ikan pada ekspresi penanda inflamasi dari preneoplasia kolorektal mencit yang diinduksioleh azoxymetane (AOM) dan dekstran natrium sulfat (DSS). Dalam penelitian ini, mencit Balb/c diinduksidengan AOM 10 mg/kg berat badan diikuti dengan pemberian 1% DSS selama seminggu. Minyak ikandiberikan secara oral dengan dosis 1,5 mg, 3 mg, dan 6 mg pada setiap mencit percobaan per hari. EkspresiPGE2 diamati pada sel epitel kripta pada mukosa kolon. Pada bulan kedua, ekspresi PGE2 menurun denganpemberian dosis sedang (3 mg/hari) dan tinggi (6 mg/hari) minyak ikan. Sedangkan pada bulan ketiga dankeempat, penurunan ekspresi PGE2 diamati karena pemberian minyak ikan dosis rendah, sedang dan tinggi(p=0,010 dan 0,005 m). Kesimpulannya, pemberian dosis sedang minyak ikan pada mencit yang diinduksiAOM/DSS telah menurunkan ekspresi PGE2 pada bulan kedua adalah dosis yang paling efektif.
Peran Sel T Memori dalam Pengendalian Pandemi Covid-19 Kusmardi; Ramadhian N, Dimas; Pratomo, Irandi P; Tedjo, Aryo
Majalah Patologi Indonesia Vol. 30 No. 2, Mei 2021
Publisher : Perhimpunan Dokter Spesialis Patologi Anatomik Indonesia (PDSPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55816/mpi.v30i2.476

Abstract

ABSTRACTEvaluation of changes in antibody orders is a common exclusion in vaccination strategies because of the method ofanalysis. The fact that protection by antibodies produced by the Severe Acute Respiratory Syndrome Coronavirus-2(Sars-Cov-2) infection both naturally and through vaccines will decrease in less than one year, is a challenge for acountry with a large population like Indonesia to run its vaccination program. The main challenge is whether thevaccination strategy adopted will overcome the vaccine barrier and the race between the rate of vaccination and therate of viral mutation and antibody reduction. In addition to antibodies, the adaptive immune system is also run by Tcells that are included in the cell-mediated immune system (CMI) group. In patients with asymptomatic or mildsymptoms of Coronavirus 2019 (Covid-19), T and CMI responses are known to appear in some patients who are notknown to have been exposed to Sars-Cov-2 before. This evidence suggests that the adaptive catastrophe for SarsCov-2 has been acquired by ordering memory T cells and may last longer than previously thought. For countries withlarge populations, this will certainly help overcome the limitations of vaccines and the time needed to implement theirvaccination strategies.
In Silico Evaluation of Natural Compounds as Dual Inhibitors of Exotoxin A and LasB (Elastase) Virulence Proteins in Pseudomonas aeruginosa Andrias Bayu Fariska; Linda Erlina; Ade Arsianti; Aryo Tedjo
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 04 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss04/631

Abstract

Pseudomonas aeruginosa is an opportunistic pathogen whose virulence is largely mediated by Exotoxin A and LasB (elastase), making them promising anti-virulence drug targets. This study aimed to evaluate the inhibitory potential of natural compounds against these two key proteins using an in silico approach. Pharmacophore-based virtual screening of HerbalDB compounds was performed by LigandScout software, followed by molecular docking using AutoDockTools-1.5.7 against Exotoxin A (PDB ID: 1AER) and LasB (PDB ID: 1U4G). Native ligands and co-crystallized inhibitors were used as docking controls to validate binding accuracy. Among the screened compounds, Epicatechin-(4β-6)-epicatechin-(4β-8)-catechin exhibited the strongest binding affinity to Exotoxin A (ΔG = −10.72 kcal·mol⁻¹), while Carpaine showed the highest affinity for LasB (ΔG = −8.91 kcal·mol⁻¹). The predicted interactions involved hydrogen bonds and hydrophobic interactions with active-site residues, comparable to the native inhibitors. Furthermore, ADMET analysis indicated favorable pharmacokinetic and drug-likeness properties. These findings suggest that selected natural compounds possess potential dual inhibitory activity against Exotoxin A and LasB, warranting further experimental validation as anti-virulence candidates for controlling P. aeruginosa infections.
Integrative Transcriptomic and Docking Analysis of Coffee Bioactives Targeting CCNA2, AKT1, and CDK2 in TNBC Ida Neni Haryanti; Linda Erlina; Ade Arsianti; Aryo Tedjo
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 04 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) In Progress
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss04/707

Abstract

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype characterized by high proliferation rates, poor prognosis, and limited therapeutic options. Coffee-derived bioactive compounds have demonstrated potential anticancer properties, but their interactions with key TNBC-associated targets remain insufficiently understood. Therefore, this study aimed to identify molecular biomarkers and therapeutic targets in TNBC and evaluate the potential of major coffee bioactive compounds using an integrative in silico approach. Five Gene Expression Omnibus (GEO) datasets (GSE38959, GSE186102, GSE65194, GSE45827, and GSE7904) were analyzed to identify differentially expressed genes (DEGs) using |log2FC| ≥ 1 and adjusted p-value < 0.05. Protein–protein interaction analysis, machine-learning validation, Kaplan–Meier survival analysis, chemogenomic mapping, molecular docking, and ADMET prediction were subsequently performed. A total of 917 overlapping DEGs were identified, with CCNA2 emerging as a key hub gene associated with poor prognosis. Machine-learning validation achieved 97.7% accuracy and an AUC of 0.964. Chemogenomic analysis prioritized AKT1, CDK2, and CCNA2 as therapeutic targets. Molecular docking revealed favorable interactions of caffeic acid and chlorogenic acid, with caffeic acid showing the most consistent multitarget affinity (−5.94 to −6.96 kcal/mol). These findings suggest that caffeic acid is a promising multitarget candidate for TNBC therapy and warrants further experimental validation.