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All Journal e-CliniC JURNAL BIOMEDIK Damianus Journal of Medicine Narra J
Nurdjannah J. Niode
Universitas Sam Ratulangi
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Journal : Narra J

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Evaluation of atopic dermatitis severity using artificial intelligence Maulana, Aga; Noviandy, Teuku R.; Suhendra, Rivansyah; Earlia, Nanda; Bulqiah, Mikyal; Idroes, Ghazi M.; Niode, Nurdjannah J.; Sofyan, Hizir; Subianto, Muhammad; Idroes, Rinaldi
Narra J Vol. 3 No. 3 (2023): December 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v3i3.511

Abstract

Atopic dermatitis is a prevalent and persistent chronic inflammatory skin disorder that poses significant challenges when it comes to accurately assessing its severity. The aim of this study was to evaluate deep learning models for automated atopic dermatitis severity scoring using a dataset of Aceh ethnicity individuals in Indonesia. The dataset of clinical images was collected from 250 patients at Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia and labeled by dermatologists as mild, moderate, severe, or none. Five pre-trained convolutional neural networks (CNN) architectures were evaluated: ResNet50, VGGNet19, MobileNetV3, MnasNet, and EfficientNetB0. The evaluation metrics, including accuracy, precision, sensitivity, specificity, and F1-score, were employed to assess the models. Among the models, ResNet50 emerged as the most proficient, demonstrating an accuracy of 89.8%, precision of 90.00%, sensitivity of 89.80%, specificity of 96.60%, and an F1-score of 89.85%. These results highlight the potential of incorporating advanced, data-driven models into the field of dermatology. These models can serve as invaluable tools to assist dermatologists in making early and precise assessments of atopic dermatitis severity and therefore improve patient care and outcomes.
Mechanistic insights into the anticancer, anti-inflammatory, and antioxidant effects of yellowfin tuna collagen peptides using network pharmacology Kairupan, Tara S.; Kapantow, Nova H.; Tallei, Trina E.; Niode, Nurdjannah J.; Sanggelorang, Yulianty; Rotty, Linda WA.; Wungouw, Herlina IS.; Kawengian, Shirley ES.; Fatimawali, Fatimawali; Maulydia, Nur B.
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1885

Abstract

Marine-derived collagen peptides have been acknowledged for their therapeutic potential, especially in cancer therapy and inflammation management. The aim of this study was to investigate the molecular mechanisms that contribute to the anticancer, anti-inflammatory and antioxidant properties of yellowfin tuna collagen peptides (YFTCP) utilizing a network pharmacology approach. The YFTCP was extracted from the bones of yellowfin tuna (Thunnus albacares) and subsequently hydrolyzed with trypsin. Seventeen peptides were discovered using liquid chromatography in conjunction with high-resolution mass spectrometry (LC-HRMS). A network pharmacology method was utilized to investigate the interactions between the discovered peptides and their biological targets. Additionally, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to identify pertinent biological pathways involved in the anticancer, antioxidant, and anti-inflammatory effects of these peptides. GO analysis revealed key associations between YFTCP and critical cancer- and inflammation-related genes encoding proteins such as CCND1, SRC, AKT1, IL-1β, TNF, and PPARG, which exhibited significant interactions. These proteins are essential for the regulation of the cell cycle, the development of tumors, and the response to inflammatory stimuli. The KEGG analysis also revealed that YFTCP was involved in a number of critical pathways, such as endocrine resistance, cancer pathways, Kaposi sarcoma-associated herpesvirus infection, proteoglycans in cancer, and human cytomegalovirus infection. These findings highlight the potential use of YFTCP as a multifaceted therapeutic agent, indicating their role in regulating important biological pathways associated with cancer development and inflammation. This study provides new valuable insights into the pharmacological properties of YFTCP, paving the way for future studies and drug development focused on these bioactive peptides.
Dual anti-inflammatory and antimicrobial effects of stingless bee propolis on second-degree burns Manginstar, Christian O.; Tallei, Trina E.; Salaki, Christina L.; Niode, Nurdjannah J.; Jaya, Hendra K.
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.2359

Abstract

Propolis, a natural resinous product from stingless bees, is widely recognized for its anti-inflammatory and antimicrobial properties. However, its combined effects in addressing both inflammation and infection in second-degree burns have remained insufficiently explored. The study aimed to investigate the dual role of propolis in modulating inflammation and preventing bacterial infections caused by methicillin-resistant Staphylococcus aureus (MRSA) and Pseudomonas aeruginosa in a second-degree burn model. Propolis was collected from stingless bees in Gowa, South Sulawesi, Indonesia, and extracted using methanol. Second-degree burns were induced in male Rattus norvegicus, which were then divided into three groups: one treated with propolis, another silver sulfadiazine (positive control), and third with NaCl (negative control). After seven days of treatment, the expression of tumor necrosis factor-alpha (TNF-α) and vascular endothelial growth factor (VEGF) proteins in wound samples was analyzed using immunohistochemistry. The antimicrobial activity of the propolis extract was assessed using the disc diffusion assay, followed by minimum inhibitory concentration (MIC) testing. Network pharmacology analysis was also conducted to assess the anti-inflammatory activity of propolis. Results showed that propolis significantly reduced TNF-α expression and increased VEGF expression, which might enhance VEGF-mediated angiogenesis, leading to improved wound healing compared to controls. The antimicrobial tests demonstrated strong activity against MRSA and P. aeruginosa, with inhibition zones correlating with higher extract concentrations. The MIC value of the propolis extract was 198.66 µg/µL against MRSA and 212.06 µg/µL against P. aeruginosa. Network pharmacology analysis revealed key proteins, including Jun proto-oncogene (JUN), estrogen receptor 1 (ESR1), signal transducer and activator of transcription 3 (STAT3), and proto-oncogene tyrosine-protein kinase Src (SRC), involved in the regulation of TNF-α and VEGF, further supporting the synergistic effects of propolis. This study demonstrates that stingless bee propolis effectively promotes tissue regeneration and prevents infection in second-degree burns, highlighting its potential as an alternative to conventional treatments for wound care.
Co-Authors Adji, Aryani Alson . Sambonu, Alson . Baguna, Tirsa Christina Salaki Dwi H. Danardono, Dwi H. Dwi Y.F. Isa, Dwi Y.F. Earlia, Nanda Fatimawali . Ferra O. Mawu, Ferra O. Grace M. Kapantow Gunawan, Ellen Herry E. J. Pandaleke Herry E.J. Pandaleke, Herry E.J. Herry E.J. Pandeleke, Herry E.J. Hizir Sofyan Idroes, Ghazi M. Jaya, Hendra K. Julian Jonathan, Julian Kairupan, Tara S. Kapantouw, Grace M. Kawengian, Shirley ES. Lorettha Wijaya Maharani, Ayu Mamuaja, Enricco H. Manginstar, Christian O. Marlyn G. Kapantow Marthen C. P. Wongkar, Marthen C. P. Maulana, Aga Maulydia, Nur B. Mellyanawati Mellyanawati Mikyal Bulqiah, Mikyal Muhammad Subianto Nana N. Jayadi, Nana N. Niken Ernaningtyas, Niken Nova Hellen Kapantow Noviandy, Teuku R. Palimbong, Florencia Pandjaitan, Marini C. Pieter L. Suling Preisy G. I. Tampi, Preisy G. I. Pusung, Andreas V. Putri, Devita Rinaldi Idroes Rotty, Linda WA. Siahaan, Romauli E. Silvia Nathalia Stella R. Nelwan Suhendra, Rivansyah Susanti, Ratna I. Thigita A. Pandaleke Trina E. Tallei, Trina E. Tumilaar, Jibrando Wibawa, Anthony S. Wungouw, Herlina IS. Yulianty Sanggelorang