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All Journal Journal of Biomedical and Techno Nanomaterials
Savitri, Dita Nurul
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology

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Development of a Point-of-Care Diagnostic Platform for Dengue Virus Detection Savitri, Dita Nurul; Kiri, Ming; Dara, Ravi
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i1.2018

Abstract

Dengue fever is a significant health threat in tropical and subtropical regions, with current diagnostic methods requiring well-equipped laboratories and skilled personnel. Early detection is crucial for effective management and control. To develop a reliable, rapid, and user-friendly point-of-care diagnostic platform for dengue virus detection, suitable for use in low-resource settings. The study utilized a multi-disciplinary approach, integrating microfluidics, biosensors, and nanotechnology. Blood samples from suspected dengue patients were analyzed using the newly developed platform. Comparative analysis was conducted against conventional diagnostic methods. The new point-of-care platform demonstrated a sensitivity of 90% and specificity of 85%, providing results in an average of 15 minutes. This performance marks a significant improvement over conventional methods, which are slower and less accurate. The integration of advanced technologies into a point-of-care diagnostic platform has significantly enhanced the accuracy and speed of dengue virus detection. Further clinical trials are necessary to validate these findings and ensure the platform's efficacy and scalability in real-world settings.  
Protein-Protein Interaction Analysis to Identify New Drug Targets for Diabetes Savitri, Dita Nurul; Syauqi, Anis; Naibaho, Netty Maria; Muntasir, Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i1.2023

Abstract

The background of this study focuses on diabetes, a chronic metabolic disease characterized by impaired glucose and insulin regulation. Although existing therapies are available, insulin resistance and other complications remain a major challenge. The purpose of this study is to identify new drug targets through the analysis of protein interactions that play a role in the pathogenesis of diabetes. The method used is protein interaction network analysis (PPI) using public databases such as STRING and BioGRID to map the interaction between proteins related to glucose metabolism and insulin. The results of this study identified more than 150 proteins that interact with each other in the regulatory pathways of glucose and insulin metabolism, with several new proteins found to have the potential to be drug targets to overcome insulin resistance. The study concludes that a protein interaction-based approach can open up opportunities to develop new therapies that are more specific and effective in managing diabetes. Further development should be undertaken for the validation of these findings in animal models and clinical trials to confirm their effectiveness as a diabetes therapy.
Co-Authors Dara, Ravi Kiri, Ming Muntasir, Muntasir Naibaho, Netty Maria Syauqi, Anis