cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Iqhrammullah
Contact Email
m.iqhram@narraj.org
Phone
+62895600103052
Journal Mail Official
m.iqhram@narraj.org
Editorial Address
Jl. T. Tanoeh Abee, Durussalam, 23111, Banda Aceh
Location
Kota banda aceh,
Aceh
INDONESIA
Narra X
Published by PT Narra Sains Indonesia
ISSN : -     EISSN : 29882990     DOI : DOI: https://doi.org/10.52225/narrax
Core Subject : Health, Science,
Biochemistry, Genetics & Molecular Biology Chemistry Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health
Narra X is a multidisciplinary journal, published three times in a year (April, August, and December). The journal aims to act as a platform for rapid scientific communication while upholding the highest integrity. Articles are published in a form of Original articles, Short Report, Case Reports, Methods articles, Review articles, and Letters to the Editor. All submitted articles are subjected to peer-review prior to their publication. As a multidisciplinary journal, Narra X welcomes articles from any subject field, depending on the editorial capacity. At the moment, Narra X is handled by section editors in the following fields: Health and medicine Chemistry Biology Mathematics Physics Narra X is online only journal and all articles do not have page numbers; instead, they are given a unique article number.
Arjuna Subject : -
Articles 104 Documents
 7   8   9   10   11 
Stemness-associated marker expression following hyperbaric oxygen therapy in a DMBA-induced epithelial ovarian cancer model Ketut E. Sudiarta; Dea PP. Anggraeni; Arga S. Adji; Pandit BT. Saputra; Danial H. Arsyi
Narra X Vol. 4 No. 2 (2026): August 2026
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v4i2.302

Abstract

Epithelial ovarian cancer (EOC) is one of the most lethal gynecologic malignancies and is commonly associated with metastasis, recurrence, and chemotherapy resistance. Ovarian cancer stem cells (OCSCs) are thought to contribute to tumor formation, metastatic progression, treatment resistance, and recurrent disease through their ability to survive under stressful microenvironmental conditions. Hyperbaric oxygen therapy (HBOT) may influence tumor oxygenation and oxidative stress; however, its effects on ovarian cancer stemness remain unclear. The aim of this study was to evaluate the effects of HBOT on the expression profile of OCSC markers in a 7,12-dimethylbenz[a]anthracene (DMBA)-induced epithelial ovarian cancer model. This experimental post-test-only control group study included 30 female Wistar rats randomly allocated into a healthy control group, a DMBA-induced epithelial ovarian cancer group without HBOT, and a DMBA-induced epithelial ovarian cancer treated with HBOT group. HBOT was administered using 100% oxygen at 1.7 atmospheres absolute. The expression of CD44, CD133, and aldehyde dehydrogenase 1 (ALDH1) was assessed immunohistochemically using H-score analysis. Overall group differences were assessed using Kruskal–Wallis tests with Dunn–Bonferroni post hoc comparisons; inter-marker relationships and expression profiles were evaluated using Spearman correlation and principal component analysis (PCA), respectively. CD44 expression differed significantly among groups (p=0.004), and post hoc analysis showed lower CD44 expression in the HBOT-treated EOC group than in the healthy group (p=0.015) and untreated EOC group (p=0.017). CD133 expression was also significantly different among groups (p=0.032), with post hoc analysis showing higher expression in the HBOT-treated EOC group than in the healthy group (p=0.048), and no significant difference was observed between the untreated EOC and HBOT-treated EOC groups. ALDH1 expression did not differ significantly among groups (p=0.877). A strong positive correlation was observed between CD133 and ALDH1 expression (r=0.70, p<0.001). PCA demonstrated partial separation of the HBOT-treated group, suggesting changes in the overall stemness-associated expression profile. These findings suggest that HBOT may be associated with altered stemness-associated marker patterns in the DMBA-induced EOC model, although the underlying mechanisms and functional relevance require further validation.
Navigating technology integration for workforce optimization in healthcare settings: A systematic review of strategies, barriers, and outcomes from middle-income countries Rachmannisa SA. Syifa; Muh Akram; Zoel Hutabarat
Narra X Vol. 4 No. 2 (2026): August 2026
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v4i2.275

Abstract

Technology integration in healthcare settings—including Electronic Medical Records (EMR), Hospital Information Systems (HIS), telemedicine, digital workflow tools, and artificial intelligence (AI)-assisted clinical decision support systems—is increasingly implemented to support workforce optimization in middle-income countries. However, the effectiveness and safety of these interventions remain incompletely synthesized. The aim of this study was to evaluate the impact of healthcare technology integration on workforce-related outcomes in middle-income countries and assess evidence certainty using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. A systematic search of PubMed, Epistemonikos, and ProQuest (through December 2025) identified 613 records. After screening and eligibility assessment, 22 studies from 12 middle-income countries were included in the qualitative synthesis. Primary outcomes included workforce efficiency, administrative burden reduction, and patient flow improvement, while secondary outcomes included staff satisfaction, burnout, quality of care, and safety-related outcomes. Across studies, technology integration was generally associated with improved workflow efficiency, reduced administrative tasks, and better clinical coordination. Telemedicine and AI-assisted systems appeared particularly useful for improving patient flow and reducing waiting times in some settings. Several studies also reported improvements in staff satisfaction and reductions in burnout. However, the certainty of evidence varied across outcomes because most included studies were observational, heterogeneous, short-term, and frequently relied on self-reported measures. Few serious technology-related adverse events were reported, although safety outcomes were not systematically evaluated in most studies. In conclusion, healthcare technology integration may support workforce optimization in middle-income countries, but implementation success appears highly dependent on infrastructure readiness, workforce training, and organizational capacity. Future research should prioritize longitudinal and technology-specific evaluations using standardized outcome measures.
In silico screening of potential anti-inflammatory compounds from Sulawesi-endemic Begonia medicinalis Ni KD. Permatasari; Sri Wahyuningsih; Felisitas M. Podhi; Radinal Kautsar; Moh R. Afnani; Rizky D. Susetyo; Emilia J. Bria; Melania Priska; Florian MPR. Makin; Dece E. Sahertian; Anisa H. Uno; Inez Maylida
Narra X Vol. 4 No. 2 (2026): August 2026
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v4i2.303

Abstract

Chronic inflammation contributes to the pathogenesis of many degenerative diseases. Long-term use of conventional anti-inflammatory drugs may be associated with serious adverse effects, prompting the search for new natural candidates. Begonia medicinalis is a plant endemic to Central Sulawesi that is traditionally used to treat fever and joint pain, but its phytochemical profile and molecular mechanisms underlying its potential anti-inflammatory activity have not been scientifically reported. The aim of this study was to identify the secondary metabolite profile of the ethanol extract of B. medicinalis leaves and to assess its molecular interactions with pivotal pro-inflammatory targets, namely cyclooxygenase-2 (COX-2), inducible nitric oxide synthase (iNOS), tumor necrosis factor-alpha (TNF-α), and interleukin-1 beta (IL-1β), using a computational approach. The study combined a laboratory-based phytochemical analysis with in silico analyses, including structure-activity relationship (SAR), absorption, distribution, metabolism, and excretion (ADME), toxicity prediction, molecular docking, and molecular dynamics simulations. B. medicinalis leaves were extracted by maceration using absolute ethanol, and the metabolite profiles were analyzed using gas chromatography-mass spectrometry (GC-MS). Biological activity prediction was performed using PASS Online, pharmacokinetic profiling using SwissADME, toxicity evaluation using ProTox 3.0, and protein-protein interaction analysis using STRING v12.0. Molecular docking was performed using PyRx with AutoDock Vina and visualized using BIOVIA Discovery Studio 2025. GC-MS analysis identified 21 compounds, including palmitic acid, dihomo-γ-linolenic acid, and stigmasterol, which showed predicted anti-inflammatory potential, favorable safety profiles, and acceptable drug-likeness characteristics. Among these compounds, stigmasterol showed favorable predicted binding affinities toward COX-2, iNOS, TNF-α, and IL-1β, while molecular dynamics simulations supported the stability of the resulting complexes over 100 ns. These computational findings suggest that B. medicinalis contains diverse bioactive compounds with potential anti-inflammatory properties. Stigmasterol emerged as the most promising lead candidate against the predicted anti-inflammatory targets, providing a theoretical molecular foundation for the future exploration of B. medicinalis therapeutic potential.
A comparative analysis of fecal bile acid profiles in patients with ulcerative colitis and colorectal cancer Fauzi Yusuf; Desi Maghfirah; Muhammad Luthfi; Ira Y. Fitria
Narra X Vol. 4 No. 2 (2026): August 2026
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v4i2.306

Abstract

Ulcerative colitis (UC) is a chronic inflammatory disease of the colon in which mucosal inflammation, dysbiosis, and colorectal cancer (CRC) risk are closely linked. Because intestinal bacteria convert primary bile acids into secondary bile acids, fecal bile acid composition may help describe metabolic differences between inflammatory and malignant colorectal disease. Therefore, the aim of this study was to compare fecal bile acid profiles in patients with UC and CRC, with colonoscopy-negative controls included as an additional comparator. This cross-sectional analytical study enrolled 100 participants: 40 with UC, 40 with CRC, and 20 colonoscopy-negative controls without macroscopic colorectal abnormalities. Fecal cholic acid (CA), chenodeoxycholic acid (CDCA), deoxycholic acid (DCA), and lithocholic acid (LCA) were measured by liquid chromatography-mass spectrometry (LC-MS) and expressed in nmol/g. Data were summarized as median and interquartile range. UC and CRC were compared using the Mann-Whitney test, while three-group analysis used the Kruskal-Wallis test followed by Bonferroni-corrected post-hoc Mann-Whitney tests. Fecal bile acid profiles differed significantly between UC and CRC. UC showed higher levels of CA (p<0.001), CDCA (p=0.001), and total primary bile acid (p<0.001). Conversely, CRC showed higher levels of DCA, LCA, total secondary bile acids, total bile acids, and secondary-to-primary bile acid ratios (all p<0.001). In the three-group analysis, the overall significant differences (all p≤0.002) were driven mainly by the CRC group. No statistically significant differences were detected between UC and colonoscopy-negative controls for any measured parameter, although this finding should not be interpreted as evidence of equivalent or normal fecal bile acid profiles. In conclusion, these distinct metabolic signatures suggest that fecal bile acids have potential as non-invasive biomarkers to differentiate colorectal malignancy from chronic inflammation.

Page 11 of 11 | Total Record : 104

 7   8   9   10   11 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2026): August 2026 Vol. 4 No. 1 (2026): April 2026 Vol. 3 No. 3 (2025): December 2025 Vol. 3 No. 2 (2025): August 2025 Vol. 3 No. 1 (2025): April 2025 Vol. 2 No. 3 (2024): December 2024 Vol. 2 No. 2 (2024): August 2024 Vol. 2 No. 1 (2024): April 2024 Vol. 1 No. 3 (2023): December 2023 Vol. 1 No. 2 (2023): August 2023 Vol. 1 No. 1 (2023): April 2023 More Issue