cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.
Location
Kab. tanah datar,
Sumatera barat
INDONESIA
Journal of Biomedical and Techno Nanomaterials
Published by Yayasan Adra Karima Hubbi
ISSN : 30481120     EISSN : 30481155     DOI : 10.70177/jbtn
Core Subject : Science,
Biochemistry, Genetics & Molecular Biology
Journal of Biomedical and Techno Nanomaterials is an international forum for the publication of peer-reviewed integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles - all pertaining to the research fields of medicine, pharmaceuticals, biomaterials, biotechnology, diagnosis and prevention of diseases, biomedical devices, bioinformatics, and all other related fields of biomedical and life sciences. All publications provide breadth of coverage appropriate to a wide readership in Biomedical and Techno Nanomaterials research depth to inform specialists in that area. We feel that the rapidly growing Journal of Biomedical and Techno Nanomaterials community is looking for a journal with this profile that we can achieve together. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Biokimia, Genetika dan Biologi Molekuler - Biokimia, Genetika dan Biologi Molekuler (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2025)" : 5 Documents clear
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.  
Evaluate the Effectiveness of RNAi-Based Nanoparticles as Therapy for Pancreatic Cancer Anurogo, Dito; Krit, Pong; Lek, Siri
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.v2i1.2019

Abstract

Pancreatic cancer is one of the most lethal cancers with limited effective treatment options. RNA interference (RNAi) offers a promising therapeutic approach, but efficient delivery systems are essential. To evaluate the effectiveness of RNAi-based nanoparticles as a therapy for pancreatic cancer, focusing on tumor inhibition and cell viability. A comprehensive study combining in vitro, in vivo, and clinical approaches was conducted. Pancreatic cancer cell lines (PANC-1, BxPC-3, AsPC-1) and mouse models with human pancreatic tumors were treated with RNAi-based nanoparticles. Characterization of nanoparticles included size, charge, and stability assessments using DLS and HPLC. RNAi-based nanoparticles inhibited tumor growth by 70% in mouse models and reduced cell viability by 60% in vitro. Nanoparticles demonstrated high stability and effective internalization into cancer cells, leading to significant gene silencing and apoptotic effects. RNAi-based nanoparticles show significant potential as an effective therapy for pancreatic cancer, demonstrating substantial tumor inhibition and cell viability reduction. Further clinical trials are necessary to confirm these findings and optimize nanoparticle formulations.
Gene Expression Analysis to Predict Patient Response to Chemotherapy Judijanto, Loso; Amin, Rafiullah; Zahir, Roya
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.v2i1.2020

Abstract

Chemotherapy is a cornerstone of cancer treatment, yet patient responses vary significantly. Understanding the molecular basis of this variability is crucial for optimizing therapy. To predict patient response to chemotherapy using gene expression analysis, aiming to improve personalized treatment strategies. A prospective cohort study involving high-throughput RNA sequencing and microarray analysis was conducted on tumor biopsies and blood samples from patients undergoing chemotherapy. Differentially expressed genes were identified and correlated with treatment outcomes. Gene expression profiles of ABCB1, TP53, BRCA1, ERBB2, and BCL2 were found to significantly predict chemotherapy response. Patients with high expression of these genes showed better treatment outcomes. In vitro and in vivo models validated these findings, confirming the predictive power of these gene signatures. Gene expression analysis provides valuable insights into predicting chemotherapy response, facilitating personalized cancer treatment. Further clinical trials are necessary to validate these biomarkers and develop accessible diagnostic platforms.
Development of a Nano Particle Vaccine to Prevent Zika Virus Infection Tan, Ethan; Wong, Lucas; Teo, Ryan; 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.v2i1.2021

Abstract

Zika virus is a mosquito-borne flavivirus that causes severe birth defects in newborns. Effective preventive measures are urgently needed due to the global spread of the virus. To develop a nanoparticle-based vaccine to prevent Zika virus infection by enhancing immune responses and ensuring safety. A multidisciplinary approach combining virology, immunology, and nanotechnology was used. Laboratory animals and human volunteers were included in the study. The nanoparticle vaccine was characterized using DLS and electron microscopy, and its immunogenicity was tested using ELISA and flow cytometry. Preclinical and clinical trials were conducted to assess the vaccine's efficacy and safety. The nanoparticle vaccine induced strong and long-lasting immune responses, reducing Zika virus infection rates by 85% in mice and 80% in non-human primates. The vaccine showed high titers of neutralizing antibodies and significant cellular immune responses without adverse effects. The nanoparticle vaccine demonstrated high efficacy and safety in preventing Zika virus infection, providing a promising new approach to vaccine development. Further clinical trials are needed to validate these findings and optimize vaccine production for widespread use.
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.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 2 No. 6 (2025) Vol. 2 No. 5 (2025) Vol. 2 No. 4 (2025) Vol. 2 No. 3 (2025) Vol. 2 No. 2 (2025) Vol. 2 No. 1 (2025) Vol. 1 No. 4 (2024) Vol. 1 No. 3 (2024) Vol. 1 No. 2 (2024) Vol. 1 No. 1 (2024)