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All Journal Pharmasipha Medical Sains : Jurnal Ilmiah Kefarmasian Indonesian Journal on Medical Science (IJMS) Indonesian Journal of Medical Chemistry and Bioinformatics Proceeding of International Conference Health, Science And Technology (ICOHETECH) JURNAL FARMASI DAN KESEHATAN INDONESIA Parapemikir Jurnal Ilmiah Farmasi Medical Sains : Jurnal Ilmiah Kefarmasian Jurnal Sains dan Kesehatan Jurnal Ilmu Kesehatan Masyarakat (The Public Health Science Journal)
Veranita, Weri
Fakultas Farmasi, Universitas Pancasila, Jalan Raya Lenteng Agung Srengseng Sawah, Jakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Physics Public Health

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Sediaan Granula Effervescent Moracenta Drink Sebagai Suplemen Makanan dalam Upaya Pencegahan Stunting Rizqi Pratiwi, Retno Inten; Nusanty, Oci Etri; Veranita, Weri
Jurnal Ilmu Kesehatan Masyarakat Vol. 14 No. 02 (2025): Jurnal Ilmu Kesehatan Masyarakat
Publisher : UIMA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33221/jikm.v14i02.3813

Abstract

Stunting terjadi akibat dari praktik pemberian makan anak yang kurang tepat Pemberian Makanan Tambahan (PMT) merupakan strategi penanganan masalah gizi. Centella asiatica atau tanaman pegagan Pegagan mengandung makronutrien, mineral dan phytonutrrien yang memiliki efek antioksidan juga berpengaruh pada pertumbuhan, peningkatan panjang tubuh dan kesehatan otak. Tujuan penelitian ini untuk pengembangan Granula Effervescent Moracenta Drink menjadi alternatif pilihan minuman kaya gizi Penelitian ini menggunakan eksperimental (Experiment Research).Penelitian eksperimental merupakan kegiatan percobaan yang bertujuan dalam pengembangan Granula Effervescent Moracenta Drink menjadi alternatif pilihan minuman kaya gizi. Hasil rendaman ekstrak diperoleh persentase untuk ekstrak daun kelor sebanyak 11,252% dan daun pegagan 12,466%. Pengujian bebas etanol, timbal dan logam cadmium dari hasil uji bahwa ekstrak bebas dari etanol dan logam. Skrining fitokimia menunjukkan bahwa Daun Kelor (Moringa oleifera L.) dan pegagan positif mengandung alkaloid, flavonoid, saponin, tanon steroid dan tertenoid.
Analysis of Differentially Expressed Genes (DEG) and Upstream Regulator Proteins Indicates That Inhibition of Transforming Growth Factor Beta 1 (TGFB1) is A Potential Target for Acne Inversa Veranita, Weri; Fauziah, Siva; Nurbaya, Siti
Indonesian Journal of Medical Chemistry and Bioinformatics Vol. 3, No. 2
Publisher : UI Scholars Hub

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Abstract

Acne inversa (AI) is a chronic inflammatory skin disease characterized by painful nodules, abscesses, and scarring, primarily in intertriginous areas. This study aims to identify potential therapeutic targets for managing acne inversa based on the analysis of differentially expressed genes (DEG). The expression targets of these genes were then validated for their potential as biomarkers, and upstream regulator proteins (URPs) were identified from the resulting DEG. DEG analysis on the GEO dataset GSE122592 (acne inversa vs. healthy donor skin) revealed five DEG that can serve as biomarkers for acne inversa, with a sensitivity and specificity of (100%). These DEG—IL10, GZMB, FASLG, PRF1, and HLA-DPB10—are genes associated with autoimmune thyroiditis (AIT). AIT has previously been significantly linked to acne vulgaris. URP analysis indicates that inhibition of Transforming Growth Factor Beta 1 (TGFB1) is a therapeutic target that could be used to downregulate these five DEGs, returning their expression to healthy skin levels.
Analysis of Differentially Expressed Genes (DEGS) Related to Interleukin-17 Signaling for Biomarker Identification and Therapeutic Targets in Atopic Eczema Fauziah, Siva; Veranita, Weri; Nurbaya, Siti; Sari, Puji
Indonesian Journal of Medical Chemistry and Bioinformatics Vol. 3, No. 2
Publisher : UI Scholars Hub

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Abstract

Atopic eczema, also known as atopic dermatitis, is a chronic inflammatory skin condition characterized by itchy, red, and swollen skin. It is often associated with other atopic diseases such as asthma and hay fever. Interleukin-17 (IL-17), a pro-inflammatory cytokine, plays a crucial role in various inflammatory and autoimmune conditions, including atopic eczema. This study aims to identify potential therapeutic targets for managing atopic eczema based on the analysis of differentially expressed genes (DEGs). The expression of these gene targets was subsequently validated for their potential as biomarkers. Additionally, upstream regulator protein (URP) searches for the resulting DEGs were conducted. DEG analysis of the Gene Expression Omnibus (GEO) dataset, GSE6012 (atopic eczema vs. healthy donor skin), revealed that genes related to IL-17 signaling—FOSL1, MMP1, DEFB4B, S100A7, S100A8, and S100A9—can serve as biomarkers for atopic eczema with sensitivity and specificity values of 1.000. URP analysis suggested that inhibition of IL1A and NOG, as well as TGFB1 activity, are potential therapeutic targets to downregulate these six DEGs, thereby restoring their expression to the levels observed in healthy skin.
Docking Molekuler Potensi Antiinflamasi Kandungan Senyawa Benger (Lagerstroemia ovalifolia Teijsm. & Binn) Terhadap 5KIR-Cyclooxygenase-2 (COX-2): Molecular Docking of Anti-Inflammatory Potential of Benger (Lagerstroemia Ovalifolia Teijsm. & Binn) Compounds Against 5KIR - Cyclooxygenase-2 (COX-2) Veranita, Weri; Wibowo, Agung Eru; Listyani, Tiara Ajeng
Jurnal Sains dan Kesehatan Vol. 6 No. 5 (2024): J. Sains Kes.
Publisher : Fakultas Farmasi, Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25026/jsk.v6i5.2326

Abstract

Content Benger plant extract compounds (Lagerstroemia ovalifolia Teijsm. & Binn.) are reported as a new class of COX-2 enzyme inhibitors. Molecular docking analysis of Benger plant extract compounds (Lagerstroemia ovalifolia Teijsm. & Binn.) against COX-2 enzyme is required to determine the affinity and interaction pattern between the above compounds and COX-2 enzyme. A total of 23 Benger metabolite compounds were evaluated against COX-2 protein structure (PDB: 5KIR) using Molegro Virtual Docker (MVD) software. The docking results showed that three compounds, namely Kaempferol-3-O-acetyl-glucoside isomer, Acacetin malonylgalactoside, and Kaempferol-3-Oa-L-rhamnoside, had a lower rerank score (more negative) compared to the ligand (RCX_601), indicating potential as COX-2 inhibitors that affect inflammation regulation in silico. In addition, in silico ADMET analysis using pkCSM showed that the three compounds were classified as non-toxic according to BPOM Regulation no. 10 of 2022. Keywords:          Lagerstroemia ovalifolia , Cyclooxygenase-2, Molegro Virtual Docker, 5KIR   Abstrak Senyawa ekstrak tanaman Benger (Lagerstroemia ovalifolia Teijsm. & Binn.)  dilaporkan sebagai kelas baru inhibitor enzim COX-2. Analisis docking molekuler senyawa Senyawa ekstrak tanaman Benger (Lagerstroemia ovalifolia Teijsm. & Binn.)  terhadap enzim     COX-2 diperlukan untuk mengetahui afinitas dan pola interaksi antara senyawa di atas dengan enzim COX-2. Sebanyak 23 senyawa metabolit Benger dievaluasi terhadap struktur protein COX-2 (PDB: 5KIR) menggunakan perangkat lunak Molegro Virtual Docker (MVD). Hasil docking menunjukkan bahwa tiga senyawa, yaitu Kaempferol-3-O-acetyl-glucoside isomer, Acacetin malonylgalactoside, dan Kaempferol-3-Oa-L-rhamnoside, memiliki rerank score yang lebih rendah (lebih negatif) dibandingkan dengan ligan (RCX_601), menunjukkan potensi sebagai inhibitor COX-2 yang mempengaruhi regulasi peradangan secara in silico. Selain itu, analisis ADMET secara in silico menggunakan pkCSM menunjukkan bahwa Kaempferol-3-O-a-L-arabinoside (Juglalin) lebih mudah diabsorpsi oleh usus dibandingkan dengan kedua senyawa lainnya namun ketiga senyawa tersebut diklasifikasikan tidak bersifat toksik. Kata Kunci:         Lagerstroemia ovalifolia , Cyclooxygenase-2, Molegro Virtual Docker, 5KIR
Prediction of Antidiabetic Activity of Swietenia mahagoni Compounds through PPARγ Activation: Machine Learning and Molecular Docking Analysis Veranita, Weri; Nurbaya, Siti
Indonesian Journal of Medical Chemistry and Bioinformatics Vol. 4, No. 2
Publisher : UI Scholars Hub

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Abstract

Type 2 diabetes mellitus is a chronic metabolic disorder requiring long-term therapy, yet current synthetic PPARγ agonists like thiazolidinediones are often associated with serious adverse effects. Therefore, identifying natural alternatives from sources such as Swietenia mahagoni is essential to provide effective therapy with potentially lower toxicity profiles. This study employed an in silico machine learning approach using SkelSpheres descriptors to predict the IC₅₀ values of compounds derived from the seeds of Swietenia mahagoni against PPARγ, followed by molecular docking validation using Molegro Virtual Docker (MVD). The predictive model for PPARγ agonists demonstrated acceptable validity (R²-test = 0.5308; accuracy = 84.01%). Four compounds from S. mahagoni showed predicted IC₅₀ values below 1 µM (0.0973–0.9527 µM), categorized as “Predicted Excellent activity.” Docking simulations revealed that the bibenzyl derivative 2-Carboxy-3,5-Dihydroxy-4-Geranylbibenzyl (CID: 25135579) and β,β-Carotene tetrol (CID: 23258402) exhibited binding affinities comparable to the control ligand thiazolidinedione, with Rerank Scores of-114.991 and -109.764 kJ/mol, respectively. In conclusion, the bibenzyl derivative and carotene tetrol from S. mahagoni represent promising natural candidates for PPARγ agonists, providing a strong rationale for further in vitro and in vivo investigations as potential antidiabetic agents.
Co-Authors Agung Eru Wibowo Agung Eru Wibowo Ana Yuliana Anik Sulistiyanti Aydi, Danisa Putri Ayu Irma Permatasari, Desy Ayuningsih, Qurotha Chairina, Nurvita Desy Ayu Irma Permatasari Eva Kholifah Ferry Effendi Kusumaningtyas Siwi Artini Listyani, Tiara Ajeng Musta'in, Musta'in Novalisa Nindhi Soraya Nusanty, Oci Etri Puji Sari Rachmaniar Rachmat Rizqi Pratiwi, Retno Inten Septiarini, Anita Dwi Setianingsih Setianingsih, Setianingsih Siti Nurbaya Siva Fauziah, Siva Tatiana Siska Wardani