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All Journal Biomedical Journal of Indonesia Indonesian Journal for Health Sciences (IJHS)
Pamungkas, Fajrin Yudha
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Biochemistry, Genetics & Molecular Biology Medicine & Pharmacology Nursing Public Health

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A Refined Saccharomyces Cerevisiae-Induced Pyrexia Model In Rats For Specific Antipyretic Preclinical Screening Putra, Oktavian Arya; Wardhani, Bantari Wisynu Kusuma; Riska, Riska; Ramadhan, Nuzula Rijal Nur; Pamungkas, Fajrin Yudha; Al Baariq, Hisyam Nabil Najmuddin; Wahyuningtias , Dita Sheila Putri; Khairunnisa, Rahma; Ulhaq, Oktania Dhiya; Azis, Nurul Magfirah; Guselsa, Fricelia Aura; Siregar, Tika Hafzara; Khairullah, Aswin Rafif
Biomedical Journal of Indonesia Vol. 11 No. 2 (2025): Vol 11, No 2, 2025
Publisher : Fakultas Kedokteran Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bji.v11i2.265

Abstract

Introduction. A fever-specific, reliable animal model is necessary to screen the antipyretic activity of pharmacological agents, especially to differentiate their action from broad anti-inflammatory activity. The present investigation was directed towards standardizing the yeast-induced pyrexia model in Sprague Dawley rats for screening the antipyretic activity of paracetamol. Methods. Male Sprague Dawley rats were placed into three groups (5 each): normal control, pyrexia-induced untreated, and paracetamol-treated. Pyrexia was induced by subcutaneous injection of 40% aqueous suspension of Saccharomyces cerevisiae (10 mL/kg b.w.). Paracetamol-treated rats were given a single oral dose of 150 mg/kg following pyrexia induction. Rectal temperature was measured at intervals of 30 minutes for 180 minutes. Results. Saccharomyces cerevisiae injection elicited a satisfactory febrile response in both pyrexia-induced groups. In the paracetamol-treated group, there was a considerable decrease in rectal temperature from 90 minutes, and the difference was statistically significant (p < 0.05) when compared with the untreated group. The model was able to distinguish the antipyretic effect of paracetamol from natural thermoregulatory fall in controls. Conclusion. This S. cerevisiae pyrexia model in mice is a specific and reproducible platform for antipyretic drug evaluation. The ability to dissociate antipyretic mechanisms from accompanying inflammatory processes is what makes it an acceptable model for future pharmacological screens. The addition of fever-specific biomarkers, i.e., hypothalamic metabolites and PGE₂, is suggested to also offer mechanistic insight and translational value.
SPATIAL ANALYSIS OF MALARIA RISK AND SOCIOECONOMIC DETERMINANTS IN PAPUA PROVINCE, INDONESIA USING A BAYESIAN MODELING APPROACH Adi, Janardana Wiguna; Pamungkas, Fajrin Yudha; Farisi, Salman Al; Wicaksono, Muhammad Ikhsan Adil; Baariq, Hisyam Nabil Najmudin Al
Indonesian Journal of Health Science Vol 10 No 1 (2026): March
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/ijhs.v10i1.12173

Abstract

Malaria remains a major public health problem in tropical regions, including Indonesia’s Papua Province, which bears one of the highest national burdens. This study analyzes the spatial distribution of malaria and identifies key socioeconomic, geographic, and demographic predictors in Papua in 2022 using Bayesian spatial modeling. Secondary data from 28 districts/cities were analyzed with a Bayesian spatial model using the BYM2 formulation and Integrated Nested Laplace Approximation (INLA). Significant spatial disparities were identified, with high-risk clusters in the northeast and central regions. The number of polyclinics showed a significant negative association with malaria incidence, indicating a protective effect. Conversely, regional income and average years of schooling were positively associated with malaria, possibly reflecting increased mobility, detection bias, and development-related ecological change. These findings highlight strong spatial heterogeneity and multifactorial drivers of malaria transmission. Bayesian spatial modeling provides important insights for policy planning and supports the need for geographically targeted, multisectoral interventions, strengthening primary healthcare infrastructure, and context-sensitive development strategies to reduce malaria burden.
Co-Authors Adi, Janardana Wiguna Al Baariq, Hisyam Nabil Najmuddin Azis, Nurul Magfirah Baariq, Hisyam Nabil Najmudin Al Guselsa, Fricelia Aura Khairullah, Aswin Rafif Khairunnisa, Rahma Putra, Oktavian Arya Ramadhan, Nuzula Rijal Nur Riska Riska Salman Al Farisi, Salman Al Tika Hafzara Siregar Ulhaq, Oktania Dhiya Wahyuningtias , Dita Sheila Putri Wardhani, Bantari Wisynu Kusuma Wicaksono, Muhammad Ikhsan Adil