No records
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437 |
Sulaiman R.A.R., Aji R.P., Prakoso N.M., Priambodo R., Aswin Y.A., Hafifah C.N., Sjarif D.R. |
57203195674;57214097675;57214084050;57190937999;57222721787;57204112129;6506242684; |
Variant identification of exon 11 of galactosamine (N-acetyl)-6-sulfatase (GALNS) gene in mucopolysaccharidosis type IVA patients in Indonesia |
2021 |
AIP Conference Proceedings |
2331 |
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050025 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103831975&doi=10.1063%2f5.0042042&partnerID=40&md5=62e2f8987a113373133b39a10f6bba9d |
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Human Genetics Research Center, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Jakarta, 10430, Indonesia; Department of Pediatric, Universitas Indonesia, RSUPN, Dr. Cipto Mangunkusumo, Jakarta, 10430, Indonesia; Department of Medical Biology, Faculty of Medicine, Universitas Indonesia, Depok, Indonesia |
Sulaiman, R.A.R., Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Aji, R.P., Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Prakoso, N.M., Human Genetics Research Center, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Jakarta, 10430, Indonesia; Priambodo, R., Human Genetics Research Center, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Jakarta, 10430, Indonesia; Aswin, Y.A., Human Genetics Research Center, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Jakarta, 10430, Indonesia, Department of Pediatric, Universitas Indonesia, RSUPN, Dr. Cipto Mangunkusumo, Jakarta, 10430, Indonesia, Department of Medical Biology, Faculty of Medicine, Universitas Indonesia, Depok, Indonesia; Hafifah, C.N., Human Genetics Research Center, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Jakarta, 10430, Indonesia; Sjarif, D.R., Human Genetics Research Center, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Jakarta, 10430, Indonesia |
Mucopolysaccharidosis type IVA (MPS IVA) is an autosomal recessive disease, in which lysosomes are unable to catalyze glycosaminoglycans due to deficiency of the enzyme galactosamine (N-acetyl)-6-sulfatase (GALNS), encoded by GALNS gene. The exon 11 of GALNS gene is known as one of the mutation hotspot regions and encode the enzyme scaffolding structure along with exon 8-10 and 12-14. The GALNS enzyme deficiency leads to abnormal accumulation of glycosaminoglycans inside the lysosomes, rendering the cell unable to function properly. Symptoms of MPS IVA are commonly seen as skeletal dysplasia and multi-organ complications. Research on MPS IVA has been done in many countries, but not in Indonesia. This study aims to identify variants that may be present in exon 11 of GALNS gene in MPS IVA patients in Indonesia. The study was conducted using DNA from blood samples of 7 MPS IVA patients and 30 healthy individuals as controls, obtained from Cipto Mangunkusumo Hospital, Jakarta. A set of specific primers of exon 11 was designed and optimized before completing DNA extraction. Then, DNA extraction was performed, further amplified using the polymerase chain reaction technique. PCR products were visualized by electrophoresis and proceeded for Sanger sequencing. The sequencing results indicated that a variant c.1177G>T (p.Ala393Ser) was found in one patient and five healthy individuals. This variant has been reported in Japan before and identified as benign with more than 5% MAF globally. This research may provide additional information to existing databases for research in MPS IVA, especially in Indonesia. © 2021 Author(s). |
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American Institute of Physics Inc. |
0094243X |
9780735440753 |
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Conference Paper |
- |
177 |
20880 |
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466 |
Sen L.T., Hutauruk P.M.S., Putra M.R.A., Maulida S.B., Ramadhan A., Sugiharto A. |
57219034101;57222897908;57222899118;57222902406;57220357068;57204117635; |
Scrutinizing the knowledge and stigma of HIV/AIDS in the community level in Indonesia and the correlation to risk groups aversion to screening |
2021 |
IOP Conference Series: Earth and Environmental Science |
716 |
1 |
012089 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104173128&doi=10.1088%2f1755-1315%2f716%2f1%2f012089&partnerID=40&md5=cd113c28d7b8389535c7d2bf89f521fd |
Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia |
Sen, L.T., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Hutauruk, P.M.S., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Putra, M.R.A., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Maulida, S.B., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Ramadhan, A., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Sugiharto, A., Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia |
Human immunodeficiency virus (HIV) has continuously been considered a scourge in Indonesia. Negative societal stance might be attributed to the poor biological, psychological, and emotional knowledge of HIV. Here we aimed to demonstrate the level of knowledge, stigma, and barriers for accessing HIV services. We conducted a cross-sectional survey in December 2019 in Kemayoran District, Jakarta, Indonesia. The survey consisted of a demographic section, HIV-Knowledge Questionnaire 18, and Stigma Questionnaires. An in-depth interview was conducted with eight subjects representing high-risk HIV and healthcare professionals; in-vivo and thematic analysis were employed. Overall, 83 respondents participated, 50.6% male, and 61.7% aged 26-45 years old. Instrumental, symbolic, and civility stigma were significantly higher in 25.9%, 19.8%, and 17.3% of samples, respectively. Stigma was associated with HIV knowledge (λ: 0.887, df: 3, partial η2: 0.113), and high knowledge level decreased the odds of instrumental stigma (OR: 0.292, 95% CI 0.095-0.900, p<0.05). Fear of discrimination and limited information was identified as intrinsic factors, while media portrays HIV and extraneous screening hours as extrinsic factors. The knowledge on HIV is still low at the community level in the Indonesian capital, which correlates to higher stigma and inhibits the high-risk population from accessing HIV medical services. © Published under licence by IOP Publishing Ltd. |
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Diagnosis; Planning; Risk assessment; Surveys; Sustainable development; Viruses; Cross-sectional surveys; Extrinsic factors; Health care professionals; Human immunodeficiency virus; In-depth interviews; Intrinsic factors; Limited information; Thematic analysis; Diseases |
IOP Publishing Ltd |
17551307 |
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Conference Paper |
- |
179 |
20770 |
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492 |
Maulidina F., Rustam Z., Hartini S., Wibowo V.V.P., Wirasati I., Sadewo W. |
57221906584;26422482100;57211529061;57221911837;57221806240;55014544900; |
Feature optimization using Backward Elimination and Support Vector Machines (SVM) algorithm for diabetes classification |
2021 |
Journal of Physics: Conference Series |
1821 |
1 |
012006 |
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1 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103897338&doi=10.1088%2f1742-6596%2f1821%2f1%2f012006&partnerID=40&md5=26c4c2f598bd765549c0283978c63185 |
Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Maulidina, F., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Rustam, Z., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Hartini, S., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Wibowo, V.V.P., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Wirasati, I., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Sadewo, W., Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Diabetes is a disease that occurs when the blood glucose level is higher than normal and also leads to health problems. Early and accurate diagnosis needs to be carried out on individuals affected by this disease. Furthermore, excellent treatment needs to be provided to prevent worse situations. Some studies have used several machine learning methods to diagnose diabetes. Furthermore, in this study, the Backward Elimination and Support Vector Machine (SVM) algorithm was used to classify the PIMA Indians diabetes dataset. It consisted of 268 diabetic and 500 non-diabetic patients with eight attributes. Backward Elimination is a feature selection method used to remove irrelevant features based on the linear regression model. Using this method, the right features for the model was expected. This method has some advantages which include increasing training time, decreasing complexity and improving performance and accuracy. Therefore, the performance of SVM improved. Based on the experiments, it was discovered that by combining feature selection algorithm (backward elimination) and SVM, the highest accuracy obtained was 85.71% using 90% data training. Therefore, it was concluded that Backward Elimination combined with SVM algorithm is an excellent method to classify diabetes by using the PIMA Indians diabetes dataset. © Published under licence by IOP Publishing Ltd. |
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Classification (of information); Diagnosis; Experimental mineralogy; Feature extraction; Learning systems; Regression analysis; Feature optimizations; Feature selection algorithm; Feature selection methods; Improving performance; Linear regression models; Machine learning methods; Support vector machine algorithm; Support vector machines algorithms; Support vector machines |
IOP Publishing Ltd |
17426588 |
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Conference Paper |
Q4 |
210 |
18731 |
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493 |
Wibowo V.V.P., Rustam Z., Hartini S., Maulidina F., Wirasati I., Sadewo W. |
57221911837;26422482100;57211529061;57221906584;57221806240;55014544900; |
Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine |
2021 |
Journal of Physics: Conference Series |
1821 |
1 |
012007 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103891589&doi=10.1088%2f1742-6596%2f1821%2f1%2f012007&partnerID=40&md5=8b428e7f3e510029f71b6c464cefbd2d |
Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Wibowo, V.V.P., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Rustam, Z., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Hartini, S., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Maulidina, F., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Wirasati, I., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Sadewo, W., Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Ovarian cancer is one of the common malignancies in women and a known cause of death. This condition occurs when a tumor appears from the growth of abnormal cells in the ovary. It causes about 140.000 deaths out of 225.000 cases annually. Most women with ovarian cancer do not have distinctive signs and symptoms even at the late stage. Therefore, diagnosis at an early stage is necessary because it has a significant impact on the survival rate. Machine learning with various methods can be used in the medical field to classify diseases. Among the many methods, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were used and analyzed in this study to classify ovarian cancer. The data used were from Al Islam Bandung Hospital consisting of 203 instances with 130 labeled ovarian cancer and 73 as non-ovarian. The results showed that the KNN produced higher results than SVM with 90.47% of accuracy and 94.11% of F1-score, while SVM produced accuracy and F1-score values of 90.47% and 92.30% respectively. © Published under licence by IOP Publishing Ltd. |
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Diagnosis; Diseases; Motion compensation; Nearest neighbor search; F1 scores; K nearest neighbor (KNN); K-nearest neighbors; Late stage; Medical fields; Ovarian cancers; Survival rate; Support vector machines |
IOP Publishing Ltd |
17426588 |
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Conference Paper |
Q4 |
210 |
18731 |
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495 |
Nadhif M.H., Assyarify H., Irsyad M., Pramesti A.R., Suhaeri M. |
57189057498;57220927630;57220935587;57222624921;56183087500; |
Recent advances in 3D printed wound dressings |
2021 |
AIP Conference Proceedings |
2344 |
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020021 |
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1 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103522380&doi=10.1063%2f5.0047183&partnerID=40&md5=494f3e384ff38d4974127c234d704499 |
Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Department of Medical Physics, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Unit of Education, Research, and Training, Universitas Indonesia Hospital, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia |
Nadhif, M.H., Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia, Department of Medical Physics, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Assyarify, H., Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Irsyad, M., Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Pramesti, A.R., Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Suhaeri, M., Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia, Unit of Education, Research, and Training, Universitas Indonesia Hospital, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia |
Chronic and acute wounds interfere with personal aesthetics and appearance. Regarding the problematics, researchers enhance the functionalities of wound dressings. One of the enhancement approaches is using 3D printing technology. The use of 3D printing has enabled many types of wound dressings, including biodegradable multi-material, cell-laden, and drug-eluting wound dressings. The use of 3D printing even allows for a wound dressing with a 3D construct, facilitating the wound dressing placement at the wound bed. Unfortunately, the 3D printed wound dressing technology has never been reviewed, to the extent of our knowledge. In this report, we aim to reflect on the recent advances in 3D printed wound dressings. Reports regarding the 3D printed wound dressing were collected from the Google Scholar database. The search was limited from 2015 to 2020 with a logic search: "3D printed"AND "wound dressing,"which words can be found in the entire article. Irrelevant reports were excluded manually, thereby resulting in the 24 selected articles. The selected articles were subsequently reviewed in terms of the materials-efficacy analysis and 3D printing mechanism. The extracted information from all articles concluded that alginate is the most used material for 3D printed wound dressing, while the most used 3D printing mechanism is the pneumatic FDM. In terms of efficacy, wound dressings presented an antimicrobial performance against Gram-positive and Gram-negative bacteria, as well as biocompatibility to epidermis and dermis cells. © 2021 Author(s). |
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American Institute of Physics Inc. |
0094243X |
9780735440869 |
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Conference Paper |
- |
177 |
20880 |
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496 |
Utomo M.S., Asmaria T., Malau D.P., Triwardono J., Kartika I., Dilogo I.H., Rahyussalim A.J. |
56180933900;57212340647;57208306899;57214135764;57218158170;56161962800;55212166100; |
Design criteria for cementless total hip arthroplasty: A retrospective study from cadaver implantation |
2021 |
AIP Conference Proceedings |
2344 |
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020019 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103521074&doi=10.1063%2f5.0047288&partnerID=40&md5=d88d2b334a37cee012b14dd1543e1689 |
Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Department of Orthopedics and Traumatology, RSUPN Cipto Mangunkusumo, Jl. Diponegoro No. 71, Salemba, Jakarta, 10430, Indonesia |
Utomo, M.S., Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Asmaria, T., Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Malau, D.P., Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Triwardono, J., Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Kartika, I., Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Dilogo, I.H., Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia, Department of Orthopedics and Traumatology, RSUPN Cipto Mangunkusumo, Jl. Diponegoro No. 71, Salemba, Jakarta, 10430, Indonesia; Rahyussalim, A.J., Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia, Department of Orthopedics and Traumatology, RSUPN Cipto Mangunkusumo, Jl. Diponegoro No. 71, Salemba, Jakarta, 10430, Indonesia |
Total hip arthroplasty (THA) is the most frequent arthroplasty procedure performed worldwide including in Indonesia. To support Indonesian government initiative to establish a generic domestic THA implant, Research Center for Metallurgy and Materials - Indonesian Institute of Sciences in cooperation with Universitas Indonesia has designed and realized set of cementless titanium-based THA implant. Here we reported the result of first cadaver implantation for cementless titanium-based THA implant in Indonesia. There are three sets of cementless titanium-based THA implants implanted into the left leg of three cadavers. Implantation was performed simultaneously by three groups of orthopedic surgeons. There are three major aspects as evaluation from the cadaver implantation: design, material, and instrumentation. The current cementless titanium-based THA implant was designed based on the same template, material specification, process, and implanted using standard commercial instrumentation. As further directives, it is required to develop the cementless titanium-based THA implants with various shape and sizing in regard of Indonesia domestic requirement, appropriate coating for cementless implantation, refined material properties to facilitate the fabrication process, and customized instrumentation as a whole set of development within the development of the cementless titanium-based THA implant. © 2021 Author(s). |
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American Institute of Physics Inc. |
0094243X |
9780735440869 |
|
Conference Paper |
- |
177 |
20880 |
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497 |
Utomo M.S., Nadhif M.H., Bayani G.F.E., Whulanza Y. |
56180933900;57189057498;57222627409;36807053500; |
A low cost, off-the-shelf bioreactor as enabling technology for physiological modeling |
2021 |
AIP Conference Proceedings |
2344 |
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050017 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103516555&doi=10.1063%2f5.0047233&partnerID=40&md5=321c75b01f581669d0c6f955fe9b2966 |
Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Department of Medical Physics, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Department of Physiology, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia |
Utomo, M.S., Research Center for Metallurgy and Materials, Indonesian Institute of Sciences, PUSPIPTEK Area, 470 South Tangerang, Banten, 15314, Indonesia; Nadhif, M.H., Department of Medical Physics, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia, Medical Technology Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Bayani, G.F.E., Department of Physiology, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, DKI Jakarta, 10430, Indonesia; Whulanza, Y., Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia, Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia |
Nowadays, tissue engineering has become a primary option for clinical treatment involving tissue damage or organ failure. One important enabling technological aspect for tissue engineering to produce successful outcomes is bioreactor where cells could be grown under certain conditions mimicking real physiological conditions and be prepared for in vivo integration before implantation to the patients. Physical stimulation by mechanical and electrical means could improve the development of engineered tissue to mimic the actual tissue. Mechanical stimulation could improve cellular function by improving the integrity and organization of the engineered tissue while electrical stimulation can improve the conductivity and contractility of tissue construction. The electric field would stimulate cellular calcium activity which could stimulate cell integration and gap junction formation. Thus, it is necessary to develop a bioreactor that is capable to provide a well-controlled environment and proper combination of mechanical and electrical stimulation to optimize the process of tissue engineering. Here we build a bioreactor that is capable to stimulate the engineered tissue mechanically and electrically to improve the tissue's contractile performance and functional maturity through an isovolumic contraction. The mechanical stimulation is generated by harmonic inflation and deflation of a balloon while the electrical stimulation is generated from a pair of carbon electrodes. The mechanical and electrical stimulations could function independently to each other. The bioreactor was successfully constructed and passed the functional test and ready for actual application for tissue engineering. © 2021 Author(s). |
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American Institute of Physics Inc. |
0094243X |
9780735440869 |
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Conference Paper |
- |
177 |
20880 |
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498 |
Supriadi S., Rachman P., Saragih A.S., Whulanza Y., Rahyussalim A.J., Triwidodo A. |
16040272500;57222619791;24339579800;36807053500;55212166100;57222626174; |
Design, development, and finite element study on the novel biomimetic lumbosacroiliac prosthesis |
2021 |
AIP Conference Proceedings |
2344 |
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050021 |
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5 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103512681&doi=10.1063%2f5.0047182&partnerID=40&md5=ceda670f69efa9020569efb213e95b5e |
Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Department of Orthopaedics and Traumatology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo General Hospital, Jakarta, 10320, Indonesia |
Supriadi, S., Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia, Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Rachman, P., Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia, Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Saragih, A.S., Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia, Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Whulanza, Y., Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia, Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Rahyussalim, A.J., Department of Orthopaedics and Traumatology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo General Hospital, Jakarta, 10320, Indonesia; Triwidodo, A., Department of Orthopaedics and Traumatology, Faculty of Medicine, Universitas Indonesia, Cipto Mangunkusumo General Hospital, Jakarta, 10320, Indonesia |
This study focused on the design of specific prostheses in the case of patients affected by Chordoma of the lumbar 4, lumbar 5, sacrum, and coccyx. A chordoma is a group of malignant and rare cancers, commonly found in the spine or skull bones. As a treatment method, if cancer has not spread beyond the bone, the infected bone's removal procedure is replaced with an artificial bone (prosthesis). The design method is carried out using a CT Scan of patient data, which is processed into a 3D model with Materialise Mimics software, 3D model engineering is done using Solidworks software and finite element analysis with ANSYS. The design process is carried out with several kinds of design variations, including the bone-implant model with a solid and shell model which is divided into several components, the use of iliac screw lateral connector, modification of iliac screw locking head, and modification of iliac screw locking head with cross connector. From the results of the calculation analysis and simulation, the best concept chosen based on the lowest dominant Peak von Mises Stress value in the iliac screw section is designs using the Iliac Screw Locking Head with Shell Model Lattice Structure. © 2021 Author(s). |
3d bone modeling; Chordoma; lumbar; pedicle screw; prosthesis; pull out; sacrum; simulation |
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American Institute of Physics Inc. |
0094243X |
9780735440869 |
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Conference Paper |
- |
177 |
20880 |
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499 |
Pangjaya L.F., Khaerunnisa S., Mazfufah N.F., Budiman R.L., Antarianto R.D. |
57222624829;57221948155;57215595521;57222627263;57190862806; |
Investigating different type of ovary cancer cell line for NK cell in vitro co-culture cytotoxic assay |
2021 |
AIP Conference Proceedings |
2344 |
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040010 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103511346&doi=10.1063%2f5.0049155&partnerID=40&md5=34e5a053702d387eeb6890faa2868915 |
Biology Undergraduate Program, Faculty of Mathematics and Natural Science, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Stem Cell and Tissue Engineering Research Cluster, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Salemba Raya, Jakarta, West Java, 10430, Indonesia; Department of Biology, Faculty of Mathematics and Natural Science, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Department of Histology, Faculty of Medicine, Universitas Indonesia, Salemba Raya, Jakarta, West Java, 10430, Indonesia |
Pangjaya, L.F., Biology Undergraduate Program, Faculty of Mathematics and Natural Science, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia, Stem Cell and Tissue Engineering Research Cluster, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Salemba Raya, Jakarta, West Java, 10430, Indonesia; Khaerunnisa, S., Biology Undergraduate Program, Faculty of Mathematics and Natural Science, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia, Stem Cell and Tissue Engineering Research Cluster, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Salemba Raya, Jakarta, West Java, 10430, Indonesia; Mazfufah, N.F., Department of Biology, Faculty of Mathematics and Natural Science, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Budiman, R.L., Department of Biology, Faculty of Mathematics and Natural Science, Universitas Indonesia, Kampus UI Depok, West Java, 16424, Indonesia; Antarianto, R.D., Stem Cell and Tissue Engineering Research Cluster, Indonesian Medical Education and Research Institute (IMERI), Universitas Indonesia, Salemba Raya, Jakarta, West Java, 10430, Indonesia, Department of Histology, Faculty of Medicine, Universitas Indonesia, Salemba Raya, Jakarta, West Java, 10430, Indonesia |
Ovarian cancer is one of the gynecologic cancers with a high mortality rate and increased incidence. Surgery and therapies are used to treat ovarian cancer patients. Therapies such as chemotherapy and radiotherapy can cause resistance therefore immunotherapy using natural killer (NK) cells can be an alternative therapy. NK cells have shown an important role in anticancer activity because it is able to kill target cells without prior sensitization and can acquire immunology memory. However, NK cells as immunotherapy have low capacity and efficacy on infiltrating ovarian cancer's tumor microenvironment. To overcome these NK cells need to be induced with certain antigen resulting in enhanced NK cells. Enhanced NK cells display a higher cytotoxic activity that can be seen by co-culturing enhanced NK cells with ovarian cancer cell lines. In this mini-review, the selection of ovarian cancer cell lines was displayed to offer reliable consideration to obtain the expected research endpoint. © 2021 Author(s). |
co-culture; cytotoxic assay; NK cells; ovarian cancer; ovarian cancer cell lines |
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American Institute of Physics Inc. |
0094243X |
9780735440869 |
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Conference Paper |
- |
177 |
20880 |
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500 |
Hartanto J., Purwaningsih E.H., Krisnamurti D.G.B. |
57222620672;57186723500;55934951600; |
Administration of Centella asiatica ethanolic extract reduces tumor necrosis factor-alpha in hearts of aged sprague-dawley rats but not kidneys |
2021 |
AIP Conference Proceedings |
2344 |
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040012 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103510292&doi=10.1063%2f5.0048269&partnerID=40&md5=5a0382b6ee463f35130ebe47cde75fd1 |
Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia; Department of Medical Pharmacy, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia; Drug Development Research Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia |
Hartanto, J., Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia; Purwaningsih, E.H., Department of Medical Pharmacy, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia, Drug Development Research Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia; Krisnamurti, D.G.B., Department of Medical Pharmacy, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia, Drug Development Research Cluster, Indonesia Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No 6, Jakarta, 10430, Indonesia |
Aging is a time-related process leading to progressive deterioration of physiological bodily functions and increased vulnerability to degenerative disorders. The current trend of rapid growth in the global aging population poses a challenge for healthcare due to the increasing incidence of chronic diseases. In spite of this, preventive anti-aging agents such as vitamin supplements are not adequately available in many countries. Centella asiatica (CA), a traditional herb native to Southeast Asia, has been widely studied and demonstrated potent anti-inflammatory, antioxidant, neuroprotective, wound healing, and vasculoprotective effects in clinical studies. This study investigates the effect of CA treatment on aged Sprague-Dawley (SD) rats. Twenty-four rats were divided into four groups: positive control (vitamin E 6 IU), negative control (placebo), treatment group (CA 300 mg/kgBW), and comparison group (young SD rats with placebo). After 28 days of treatment, SD rats were terminated. TNF-a concentration in heart and kidney tissues were determined using enzyme-linked immunosorbent assay. We found that CA showed a significant decrease in heart TNF-alpha (p = 0.021) yet yields no statistically significant decrease in kidney TNF-alpha levels (p = 0.617). However, it was possible to identify a trend toward decreasing kidney TNF-a concentration in groups treated with CA as it was lower than the positive and negative control group. Our finding suggests different aging pathophysiology in different body organs and CA's potential as an anti-aging agent, corresponding to previous studies showing potent anti-inflammatory effects of CA in multiple organs. All in all, further research and exploration need to be made on aging pathophysiology and CA with variations of a more significant dose and longer time of administration. © 2021 Author(s). |
aging; Centella asiatica; oxidative stress; tumor necrosis factor-alpha |
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American Institute of Physics Inc. |
0094243X |
9780735440869 |
|
Conference Paper |
- |
177 |
20880 |
|
|