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Effect of All-Trans Retinoic Acid (ATRA) against expression of Matrix Metalloproteinase-2 (MMP-2) in model mice (Rattus norvegicus) periodontitis Soraya, Ilma; Herdiana, Nadya Octoraputri; Hanggoro, Rifan; Widodo, Haris Budi
Padjadjaran Journal of Dentistry Vol 29, No 2 (2017): July
Publisher : Faculty of Dentistry Universitas Padjadjaran, Indonesia

Introduction: Periodontitis is a common chronic inflammatory disease characterised by destruction of the supporting structures of the teeth, generally caused by bacteria Phorphyromonas gingivalis (P.g). Matrix metalloproteinase-2 (MMP-2) is an enzyme that plays an important role in inflammatory conditions. All-trans retinoic acid is a metabolite of vitamin A which plays a role in healing the inflamed tissue and maintain the immune system. The purpose of this study was to determine the effect of ATRA on the expression of MMP-2 in periodontitis models of mouse Rattus norvegicus. Methods: this was a laboratory experimental study using post-test only with control group design. This study used 25 male Wistar mice that was divided into 5 groups. Group 1 is a group of healthy mice, Group 2 is a group of periodontitis induced mice without treatment, Group 3 is a group of periodontitis mice treated with 5 mg/kgBW doses of ATRA, Group 4 is a group of periodontitis mice treated with 10 mg/kgBW doses of ATRA, and Group 5 is a group of periodontitis mice treated with 20 mg/kgBW doses of ATRA. The periodontitis was induced using Phorphyromonas gingivalis bacteria every 3 days for 28 days and followed by administration of ATRA for 7 days. Expression of MMP-2 from gingival tissues and periodontal ligament was obtained by immunohistochemical methods. The results were analyzed using the Shapiro-Wilk Test and Mann-Whitney Test. Results: The results showed there were significant differences in the positive area of MMP-2 and MMP-2 color intensity (p<0.05) between Groups. Conclusion: ATRA dose of 20 mg/kgBW is the most effective dose in inhibiting the expression of MMP-2 in mice models of periodontitis when compared with other doses.

The Effect Of Ethanol Extract From Lingzhi Fungi (Ganoderma Lucidum) Cianjur Isolate On Syndecan-1 Expressions In Kb CCL17 Oral Cancer Cell: Efek Ekstrak Ethanol Dari Jamur Lingzhi (Ganoderma Lucidum) Isolat Cianjur Terhadap Ekspresi Syndecan-1 Pada Sel Kanker Rongga Mulut Kb Ccl-17 Ashar, Fadli; Widodo, Haris Budi; Wahyono, Daniel Joko; Ratnaningtyas, Nuniek Ina; Nawangtantrini, Gita; Novrial, Dody; Dwiandhono, Irfan
Dentika: Dental Journal Vol. 24 No. 2 (2021): Dentika Dental Journal
Publisher : TALENTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/dentika.v24i2.4189

Intercellular adhesion plays a role in cancer formation and protein has a key potential in maintaining cell adhesion, including syndecan-1. Meanwhile, oral cancer originates from the oral epithelium, which has an invasive and metastatic level. Its treatments involving chemotherapy and radiotherapy commonly leave unfavorable side effects, hence, suitable alternatives are needed. Natural ingredients are widely used as an alternative treatment for cancer, for example, Ganoderma lucidum (G. lucidum) which has anti-cancer and anti-angiogenic properties, induces apoptosis, stimulates an immune response, inhibits the degradation of Extracellular matrix (ECM), reduces inflammation, affects cell cycles, cytotoxic, and acts as an antioxidant.This study aims to determine the effect of ethanol extract from Ganoderma lucidum Cianjur isolate on syndecan-1 expression in KB CCL-17 oral cell cancer. This was an experimental study with a post-test only control group design, the treatment group used G. lucidum ethanol extract with a concentration of 2.12 Î¼g/ml (P1), 4.24 Î¼g/ml (P2), and 8.49 Î¼g/ml (P3), while the positive control group used cisplatin with a concentration of 11.5 Î¼g/ml (K1). In contrast, the negative control used aquadest (K0), while syndecan-1 expression was observed using the immunohistochemical examination.The highest syndecan-1 expansion rate was found in the treatment group with a concentration of 8.49 Î¼g/ml. A significant difference was indicated by one-way ANOVA (p<0.05) between K0 - K1, K0 - P1, K0 - P2, K0 - P3, K1 - P1, K1 - P2, K1 - P3, P1 - P2, as well as P1 and P3. The administration of ethanol extract from G. lucidum Cianjur isolate increases syndecan-1 expression in KB CCL-17 oral cell cancer.

Support vector machine method for classifying severity of Alzheimer's based on hippocampus object using magnetic resonance imaging modalities Supriyanti, Retno; Riyanto, Arif Pujo; Ramadhani, Yogi; Aliim, Muhammad Syaiful; Akbar, Muhammad Irham; Widodo, Haris Budi; Alqaaf, Muhammad
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6322-6331

Alzheimer's disease is a degenerative brain condition that causes progressive decline in several aspects. Starting from memory, cognitive or thinking abilities, speaking abilities, and behavior. Currently, Alzheimer's diagnosis uses some methods, such as blood tests, scanning with computerized tomography scan (CT scan), or magnetic resonance imaging (MRI). As a reference for determining the level of severity, doctors usually use clinical dementia rating (CDR). CDR is a numerical scale used to measure the severity of dementia symptoms. The doctor will manually compare the patient's condition with those stated on the CDR. This condition will take quite a long time, and sometimes human error will occur. As technology and science develop, doctors can assist in manually detecting Alzheimer's using classification algorithms. Many methods can be used to classify, including the CDR support vector machine (SVM) method. Unfortunately, this method is usually only used to classify two classes. This technology allows the classification process to be carried out automatically and quickly. On the other hand, when using CDR to classify Alzheimer's severity, there are several scales, not just two classes. So, in this research, we modified the use of SVM to classify three levels of severity, namely scale 0 for normal, scale 1 for mild conditions, and scale 2 for moderate conditions. The experiments we carried out provided an accuracy of 90.9%.

Dental caries detection using faster region-based convolutional neural network with residual network Lanyak, Andre Citro Febriliyan; Prasetiadi, Agi; Widodo, Haris Budi; Ghani, Muhammad Hisyam; Athallah, Abiyan
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp2027-2035

Dental caries is the highest prevalent dental disease in the world by 2022. Caries can be stopped by early detection of patients through efficient screening. Previously, there have been several methods used to detect caries such as single shot multibox detector (SSD), faster region-based convolutional neural network (Faster R-CNN) and you only look once (YOLO). This research aims to develop accurate dental caries detection using Faster R-CNN. Using a dataset collected from scraping on the internet, this research is started by creating an original dataset consisting of 81 base images which are then augmented to a total of 486 images and annotated by dental health experts from Jenderal Soedirman University. Transfer learning using pre-trained Faster R-CNN residual network (ResNet)-50 and ResNet-101 model is utilized to detect and localise dental caries. The Faster R-CNN ResNet-50 model trained using the Adam optimizer produces a mean average precision (mAP) of 0.213, and those using the momentum optimizer produce a mAP of 0.177. While the Faster R-CNN ResNet-101 model trained using the Adam optimizer produces a mAP of 0.192, and those using the momentum optimizer produce a mAP of 0.004. The model trained on the dataset showed satisfactory results in detecting dental caries, especially ResNet-50 with Adam optimizer.

Effect of Ganoderma lucidum extract on tumor necrosis factor-alpha and prostaglandin E2 levels in periodontitis model Sprague Dawley rats Andini, Restian Febi; Novrial, Dody; Widodo, Haris Budi
Dental Journal (Majalah Kedokteran Gigi) Vol. 57 No. 3 (2024): September
Publisher : Faculty of Dental Medicine, Universitas Airlangga https://fkg.unair.ac.id/en

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/j.djmkg.v57.i3.p195-200

Background: Periodontitis is a chronic multifactorial disease caused by microorganisms such as G-anaerobes in the periodontal tissues. It activates host defense cells and releases inflammatory mediators such as tumor necrosis factor-alpha (TNF-α) and prostaglandin E2 (PGE2). Ganoderma lucidum is a traditional medicinal mushroom with anti-inflammatory effects against various diseases. Biologically, different levels of its active constituents, such as triterpenoids and phenolic compounds, reduce inflammation with various pathways. Furthermore, the constituents inhibit toll-like receptor 4, MyD88 receptors, and the activities of nuclear factor-kappa B, which synthesize TNF-α and PGE2. Purpose: This study aimed to analyze the extent to which G. lucidum extract can reduce TNF-α and PGE2 levels in periodontitis model Sprague Dawley rats. Methods: Thirty Sprague Dawley rats were randomly divided into six groups of five rats. Periodontitis inflammation was induced by the injection of Porphyromonas gingivalis bacteria into intrasulcular gingival incisors in the lower jaw labial section. Grouping was as follows: Group K1 (healthy control); Group K2 (negative control); Group K3 (positive control with doxycycline dose 0.27 mg/kg BW); Group P1 (G. lucidum extract dose 5 mg/kg BW); Group P2 (G. lucidum extract dose 10 mg/kg BW); and Group P3 (G. lucidum extract dose 20 mg/kg BW). Samples were taken from rat gingival tissue and the levels of TNF-α and PGE2 were examined using the enzyme-linked immunosorbent assay method. Data analysis was performed using one-way analysis of variance (ANOVA) with a confidence level of 95% (p < 0.05). Results: The levels of TNF-α and PGE2 were the highest in the K2 group and the lowest in the K1 group. One-way ANOVA showed no significant difference in TNF-α and PGE2 levels between P3 and K1 group. Conclusion: G. lucidum extract can reduce TNF-α and PGE2 levels in Sprague Dawley rats with periodontitis.

The Effect of Several Electric Cigarette Puffs on Nanohybrid Composite Resin Surface Roughness Amaliyah, Alvi Rizqi; Widodo, Haris Budi; Dwiandhono, Irfan
Journal of Dentistry Indonesia Vol. 30, No. 3
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Nanohybrid composite resin is a dental restorative material comprising micro and nano-sized fillers. When accompanied by smoking habits, it can alter the surface roughness of composite resin. Objective: This study aimed to determine the effect of several electric cigarette (e-cigarette) puffs on the surface roughness of nanohybrid composite resin. Methods: This study was conducted in the experimental laboratory with a pretest-posttest control group design using 48 nanohybrid composite resin specimens divided into six groups. Subsequently, the experimental groups were exposed to 75, 150, 225, 300, and 450 puffs of e-cigarette, and the control group was given artificial saliva immersion without exposure for 21 days. The surface roughness of specimens was measured with a surface roughness tester and evaluated through statistical analysis, including One-Way ANOVA and Post-Hoc LSD. Results: The average pre-test and post-test differences between groups I, II, III, IV, V, and VI were 0.013, 0.022, 0.033, 0.044, 0.065, and 0.005 μm. These results showed a significant difference in the surface roughness of nanohybrid composite resin (p < 0.05), with variations between all groups. Conclusion: This study showed that the number of e-cigarette puffs had a significant effect on the surface roughness of nanohybrid composite resin. Specifically, an increase in the number of e-cigarette puffs led to a rise in the surface roughness value of nanohybrid composite resin.

Enhancement of mRNA Vascular Endothelial Growth Factor-A (VEGF-A) Induced Anemia in Oral Squamous Cell Carcinoma (OSCC) Ramadian, Kurnia Jelang; Mahardika, Choirumminanisa Imma; Pangastuti, Aliffala Widianaputri Setya; Ramadhani, Nabella Deby; Sulistyo, Hidayat; Widodo, Haris Budi; Indah Sari, Dwi Nur; Wardana, Tirta
Indonesian Journal of Cancer Vol 19, No 2 (2025): June
Publisher : http://dharmais.co.id/

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33371/ijoc.v19i2.1278

Background: Oral squamous cell carcinoma (OSCC) is a malignant epithelial neoplasm that can lead to mechanical disturbances and malnutrition, potentially causing anemia. Vascular endothelial growth factor-A (VEGF-A) plays a crucial role in angiogenesis and vascularization, which may impact anemia in OSCC patients. This study aimed to investigate the differential mRNA expression of VEGF-A in OSCC patients with and without anemia.Method: This cross-sectional observational study analyzed 39 formalin-fixed paraffin-embedded (FFPE) samples from OSCC patients (13 with anemia, 26 without anemia). VEGF-A mRNA expression was quantified using qPCR with GAPDH as a reference gene. The Livak method was used to determine VEGF-A expression levels. Data were analyzed using GenEX MultiD 6.0 software, and statistical significance was assessed using independent T-tests. Results: VEGF-A mRNA expression in OSCC patients varied based on anemia status (1.94-fold), tumor size (1.44-fold), histological grade (1.21-fold), and anemia severity (1.30-fold). Significant differences in VEGF-A mRNA expression were observed for anemia status and tumor size (p 0.05), while histological grading and anemia severity showed no significant differences. Conclusion: This study demonstrates a significant difference in VEGF-A mRNA expression in OSCC patients with anemia, particularly in relation to tumor size. These findings contribute to our understanding of the relationship between VEGF-A expression and anemia in OSCC, potentially informing future diagnostic and therapeutic strategies.

CORRELATION BETWEEN DENTAL FLUOROSIS AND GROUNDWATER CONSUMPTION IN CHILDREN AGED 8-15 YEARS IN THE KARST AREA BANYUMAS Hidayat, Egi Gibbons; Satrio, Rinawati; Hidayah, Riski Amalia; Widodo, Haris Budi; Oktadewi, Fitri Diah
Mandala Of Health Vol 18 No 1 (2025): Mandala of Health: A scientific Journal
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mandala.2025.18.1.16446

Background: dental fluorosis is a condition of tooth growth and development that causes spots and brittle teeth. The cause of dental fluorosis is chronic fluoride intoxication due to consumption of fluoridated water during the tooth development period. One type of water with a high fluoride content is groundwater in karst areas. Groundwater in Darmakradenan village containing 1,9 mg/L fluoride. The vast majority of the locals consume groundwater as drinking water. Aim: to determine the association between groundwater consumption and the incidence of dental fluorosis. Methods: an analytic-observational with a cross-sectional approach. The research population consisted of residents aged 8–15 years in Darmakradenan Village, Ajibarang District, and Banyumas Regency. Purposive sampling was implemented for selecting research participants, with a total of 90 participants who divided into two groups: consumed groundwater and refilled drinking water. The Dean's Index is used to examine the status of dental fluorosis. Analysis data used Chi-square test. Result: there was an association between groundwater consumption and dental fluorosis (p < 0,05, CC = 0,277). Conclusion: there is an association between groundwater consumption in karst areas and the incidence of dental fluorosis.

Effect of All-Trans Retinoic Acid (ATRA) against expression of Matrix Metalloproteinase-2 (MMP-2) in model mice (Rattus norvegicus) periodontitis Soraya, Ilma; Herdiana, Nadya Octoraputri; Hanggoro, Rifan; Widodo, Haris Budi
Padjadjaran Journal of Dentistry Vol 29, No 2 (2017): July 2017
Publisher : Universitas Padjadjaran

Introduction: Periodontitis is a common chronic inflammatory disease characterised by destruction of the supporting structures of the teeth, generally caused by bacteria Phorphyromonas gingivalis (P.g). Matrix metalloproteinase-2 (MMP-2) is an enzyme that plays an important role in inflammatory conditions. All-trans retinoic acid is a metabolite of vitamin A which plays a role in healing the inflamed tissue and maintain the immune system. The purpose of this study was to determine the effect of ATRA on the expression of MMP-2 in periodontitis models of mouse Rattus norvegicus. Methods: this was a laboratory experimental study using post-test only with control group design. This study used 25 male Wistar mice that was divided into 5 groups. Group 1 is a group of healthy mice, Group 2 is a group of periodontitis induced mice without treatment, Group 3 is a group of periodontitis mice treated with 5 mg/kgBW doses of ATRA, Group 4 is a group of periodontitis mice treated with 10 mg/kgBW doses of ATRA, and Group 5 is a group of periodontitis mice treated with 20 mg/kgBW doses of ATRA. The periodontitis was induced using Phorphyromonas gingivalis bacteria every 3 days for 28 days and followed by administration of ATRA for 7 days. Expression of MMP-2 from gingival tissues and periodontal ligament was obtained by immunohistochemical methods. The results were analyzed using the Shapiro-Wilk Test and Mann-Whitney Test. Results: The results showed there were significant differences in the positive area of MMP-2 and MMP-2 color intensity (p<0.05) between Groups. Conclusion: ATRA dose of 20 mg/kgBW is the most effective dose in inhibiting the expression of MMP-2 in mice models of periodontitis when compared with other doses.

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