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All Journal Pharmaciana: Jurnal Kefarmasian Media Farmasi : Jurnal Ilmu Farmasi (Journal Of Pharmaceutical Science)
Rockie Chong
Department of Chemistry and Biochemistry, University of California, Los Angeles, USA
Chemistry Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology

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Mapping rheumatoid arthritis susceptibility through integrative bioinformatics and genomics Nining Medi Sushanti; Wirawan Adikusuma; Arief Rahman Afief; Anita Silas La’ah; Firdayani Firdayani; Rockie Chong; Zainul Amiruddin Zakaria; Barkah Djaka Purwanto; Rahmat Dani Satria; Riat Khair; Abdi Wira Septama; Lalu Muhammad Irham
Media Farmasi: Jurnal Ilmu Farmasi Vol 20, No 1: March 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v20i1.24912

Abstract

Rheumatoid arthritis (RA) is an autoimmune disease that influences several organs and tissues, especially the synovial joints, and is associated with multiple genetic and environmental factors. Numerous databases provide information on the relationship between a specific gene and the disease pathogenesis. However, it is important to further prioritize biological risk genes for downstream development and validation.  This study aims to map RA-association genetic variation using genome-wide association study (GWAS) databases and prioritize influential genes in RA pathogenesis based on functional annotations. These functional annotations include missense/nonsense mutations, cis-expression quantitative trait locus (cis-eQTL), overlap knockout mouse phenotype (KMP), protein-protein interaction (PPI), molecular pathway analysis (MPA), and primary immunodeficiency (PID). 119 genetic variants mapped had a potential high risk for RA based on functional scoring. The top eight risk genes of RA are TYK2 and IFNGR2, followed by TNFRSF1A, IL12RB1 and CD40, C5, NCF2, and IL6R. These candidate genes are potential biomarkers for RA that can aid drug discovery and disease diagnosis.
Integrative PharmGKB and GTEx Analysis Identifies Candidate Pharmacogenomic Biomarkers of Toxicity in Thyroid Cancer Therapy Desti Rahmawati; Lalu Muhammad Irham; Wirawan Adikusuma; Lolita Lolita; Rizky Gustinanda; Rockie Chong; Ilker Ates; Wahyu Dewi Tamayanti; Rahmat Dani Satria
Media Farmasi: Jurnal Ilmu Farmasi Vol. 23 No. 1 (2026): March 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v23i1.31952

Abstract

Systemic therapies such as Lenvatinib and radioiodine in thyroid cancer (TC) show promising clinical efficacy, but often cause significant toxicity. Interindividual variability in response to this toxicity is largely influenced by genetic factors, requiring a pharmacogenomic approach to accurately identify predictive biomarkers. This study aims to integrate pharmacogenomic and bioinformatics strategies in identifying genetic variants associated with the risk of TC therapy toxicity. The research method involved a systematic search of the PharmGKB database using the keyword “Thyroid Cancer.” The selection results were filtered based on clinical pharmacogenomic relevance and ESMO therapy guidelines. Only gene-drug pairs with Level of Evidence (LOE) 1A to 3 were included. Furthermore, genetic variant data were analyzed bioinformatically based on tissue expression profiles and biological relevance. The results of the study of three main systemic therapies (lenvatinib, sorafenib, and radioiodine) identified two biomarkers with LOE level 3: the rs776746 (CYP3A5) variant associated with lenvatinib toxicity, and rs620815 (ATM) associated with gastrointestinal toxicity due to radioiodine. Tissue expression analysis showed CYP3A5 to be dominant in the liver and intestines, supporting its role in drug metabolism, while ATM was widely expressed and involved in DNA repair. Both genes have potential as predictive biomarkers of TC therapy toxicity. This study demonstrates that the integration of pharmacogenomic and bioinformatics approaches can identify potential genetic biomarkers contributing to the risk of TC therapy toxicity. These findings strengthen the basis for the application of genetic-based precision medicine in optimizing the safety and individualization of TC therapy.
The effect of Aerva anata (linn) ethanol extract on implantation sites and endometrial thickness of female mice (Mus musculus) Nurul Fadhliati Maulida; Rajuddin Rajuddin; Yusra Septivera; Rusnaidi Rusnaidi; Muslim Akmal; Hafizuddin Hafizuddin; Lalu Muhammad Irham, M.Farm., Ph.D; Ilker Ates; Rockie Chong
Pharmaciana Vol. 16 No. 2 (2026): Pharmaciana
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/pharmaciana.v16i2.31444

Abstract

Aerva lanata (Linn.) contains secondary metabolites with antifertility potential, such as alkaloids, tannins, saponins, steroids, and flavonoids. The increasing need for accessible, cost-effective, and reversible contraceptive options further underscores the importance of investigating plant-based antifertility agents such as Aerva lanata. This study evaluated the effects of ethanol extract of A. lanata on implantation sites and endometrial thickness in female mice (Mus musculus L., Swiss Webster). Using a posttest-only control group design, five treatment groups (200, 400, 800, and 1000 mg/kgBW) and a control group received daily extract administration for 10 days. On day 12 of pregnancy, mice were sacrificed to count implantation sites and measure endometrial thickness. Statistical analysis by ANOVA followed by Duncan’s Multiple Range Test revealed that the 800 mg/kg and 1000 mg/kg groups showed complete inhibition of implantation (100% anti-implantation activity; p< 0.05). Additionally, the endometrial thickness was significantly reduced from an average of 150 ± 10 µm in control mice to 85 ± 8 µm and 70 ± 7 µm in the 800 and 1000 mg/kgBW groups, respectively (p < 0.05). These dose-dependent reductions in implantation and endometrial thickness suggest that the ethanol extract of A. lanata is a promising antifertility agent in female mice.
Co-Authors Abdi Wira Septama Anita Silas La’ah Arief Rahman Afief Barkah Djaka Purwanto Desti Rahmawati Firdayani Firdayani Gustinanda, Rizky Hafizuddin Hafizuddin Ilker Ates Ilker Ates Lalu Muhammad Irham Lalu Muhammad Irham Lalu Muhammad Irham, M.Farm., Ph.D Lolita Lolita Muslim Akmal Nining Medi Sushanti Nurul Fadhliati Maulida Rahmat Dani Satria Rahmat Dani Satria Rajuddin Rajuddin Riat Khair Rusnaidi Rusnaidi Wahyu Dewi Tamayanti Wirawan Adikusuma Wirawan Adikusuma Yusra Septivera Zainul Amiruddin Zakaria