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All Journal Biology, Medicine, & Natural Product Chemistry Jurnal Biologi Tropis
Agustina, Tanti
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Immunology & microbiology Medicine & Pharmacology Public Health

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Correlation of BMP2 with Degree of Osteitisin Primary CRS with and without nasal Polyps Handoko, Edi; Santoso, David; Maharani, Iriana; P.W, Yuyun Yueniwati; Agustina, Tanti
Biology, Medicine, & Natural Product Chemistry Vol 14, No 1 (2025)
Publisher : Sunan Kalijaga State Islamic University & Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/biomedich.2025.141.43-50

Abstract

Chronic rhinosinusitis (CRS) is an inflammation of the nasal mucosa and paranasal sinuses, persisting for over12 weeks. CRS involves a remodeling process and opacification known as osteitis, resulting from type 2 and non-type two inflammation. Osteitis severity is assessed using CT scans and the Global Osteitis Scoring Scale (GOSS). Bone morphogenetic protein-2 (BMP-2) is crucial in osteogenesis and bone remodeling. However, no research has shown a relationship between BMP-2 concentration and osteitis degree, as measured by GOSS, in CRS patients with or without nasal polyps. The objective of this study is to analyze the relationship between BMP-2 concentration and osteitis degree measure with GOSS in primary CRS. A cross-sectional analytic observational study was conducted using primary RSK as the study population. BMP-2 concentration, a marker for bone remodeling, used ELISA. The osteitis of the paranasal sinus walls was assessed with a CT scan and quantified using the GOSS method.  The study included 44 patients, with 8 of them serving as the control group. It was found that BMP-2 concentration (ng/mL) had a linear relationship with the GOSS degree in patients with CRS, showing a correlation of 0.583 (deviation >0.05). Further analysis revealed a significant correlation between BMP-2 concentration and GOSS, with a coefficient of 0.857 (considered very significant, in the range of 0.76-0.99). This strong correlation indicates that as BMP-2 concentration strongly correlates with the occurance of osteitis, which were measured by GOSS. BMP-2, as a marker for osteitis in CRS, shows a significant and linear correlation with the severity degree of osteitis measured by GOSS.
The Danyoung Classification Correlation with The Severity of Allergic Rhinitis and Symptoms Duration Tri Wirattami, Ayunita; Agustina, Tanti
Jurnal Biologi Tropis Vol. 25 No. 4 (2025): Oktober-Desember
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4.9974

Abstract

The Danyoung classification characterizes progressive endoscopic changes in the nasal mucosa of allergic rhinitis (AR) patients, but its clinical correlation with disease severity and chronicity remains unestablished. This cross-sectional study aimed to determine the association between Danyoung stages (1: hypertrophic, 2: dimple, 3: wrinkled) and AR symptomatology. Fifty AR patients from a tertiary allergy-immunology clinic were enrolled over a six-month period. Data on symptom duration, profile, and ARIA-based severity (intermittent/persistent, mild/moderate-severe) were collected. Nasoendoscopic examination was performed for Danyoung staging. Statistical analysis using chi-square tests demonstrated no significant association between Danyoung stage and symptom duration (p=0.85) or clinical disease severity (p=0.96). The findings indicate that the Danyoung classification, as an objective morphological descriptor, is not a statistically significant predictor of symptom-based AR severity or chronicity in this patient cohort. This suggests that the progression of endoscopic nasal mucosal changes may follow a pathway independent of the clinical parameters defined by ARIA guidelines, limiting its utility as a standalone clinical prognostic tool.
Co-Authors DAVID SANTOSO Handoko, Edi Iriana Maharani, Iriana Tri Wirattami, Ayunita Yuyun Yueniwati