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Nurtami Soedarsono
"Different mechanisms by antibiotics selectively kill or inhibit growth and proliferation of pathogen bacteria. Some antibiotics work by interfering the process of protein synthesis in bacterial ribosome, the machinery that builds proteins amino acid for the living bacterial cell. This type of antibiotics which inhibit the protein synthesis include streptomycin, chlor amphenicol and tetrasycline which are described in this article. Antibiotic resistencic is a worldwide problem in treating infectious diseases. Multiple factors contribute to the problem, but the most important ones are the prevalence of resistance genes and the excessive or inappropiate antibiotic use. Bacterial resistance to antibiotics may develop from the natural state of the bacterial genome, or the bacteria can acquire resistance genes by mutation or exchange of genes. Bacteria are able to exchange genes by several mechanisms such as conjugation, transduction, transposition and transformation, in which genetic material carieas such as plasmids, bacteriophages or transposons play an important role."
[Jurnal Kedokteran Gigi Universitas Indonesia, Journal of Dentistry Indonesia], 2002
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Artikel Jurnal  Universitas Indonesia Library
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Herlia Nur Istindiah
"Cancer detection medium such as serum & biopsy often make patient uncooperative due to lack of safety, convenience & economic. This condition causes cancer to be detected at late stadium & causes death. This paper discusses the role of saliva as cancer detection medium of choice. Some tumor markers have been identified in saliva such as c-erbB-2, CA 15-3, p53 & CA 125. Each corresponds to certain type of cancer. These tumor markers are protein, thus the use of saliva to detect cancer can utilize protein analysis technique such as ELISA. ELISA can be used for early detection & monitoring of the effectiveness of breast cancer treatment by showing the expression of c-erbB-2 & CA 15-3 in saliva. Saliva has high potential as cancer detection medium & cancer treatment monitor, especially breast cancer. Further various researches are needed for different tumor marker with other protein analysis technique."
Jurnal Kedokteran Gigi Universitas Indonesia, 2003
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Artikel Jurnal  Universitas Indonesia Library
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Natalina
"ABSTRAK
Periodontitis merupakan penyakit kronis rongga mulut yang berkontribusi menjadi bebanpenyakit kronis di dunia. Keradangan kronis yang berat pada periodontitis kronis PK akan menimbulkan respon sistemik terhadap bakteri, dan produk kerusakan periodontal.Hubungan antara PK dengan diabetes melitus tipe-2 DM tipe-2 terjadi karena infeksioral merupakan faktor predisposisi DM tipe-2, sebaliknya DM tipe-2 menjadi faktorpredisposisi PK. Adipositokin, diantaranya resistin dan adiponektin, merupakan sitokinyang berperan sebagai mediator penyakit periodontal dan DM tipe-2. Tujuan penelitianini adalah menjelaskan peran adipositokin terhadap keterkaitan antara PK dengan DMtipe-2, ditinjau dari polimorfisme gen adiponektin, kadar resistin dan adiponektin, sertapengembangan model risiko periodontitis kronis. Penelitian dilakukan terhadap 50 subjekPK non-DM usia 29-68 tahun dan 50 subjek PK dengan DM tipe-2 usia 30-73 tahun .Seluruh subjek dilakukan pemeriksaan status periodontal, status diabetes melitus, kadarresistin dan adiponektin di dalam CKG cairan krevikular gingiva maupun serum, bodymass index, serta polimorfisme gen adiponektin ADIPOQ 276G>T . Hasil uji bivariatpada subjek PK antara non-DM dengan DM tipe-2 menunjukkan terdapat perbedaanbermakna pT, kadar resistin danadiponektin CKG, kendali glikemik, serta BMI. Polimorfisme gen ADIPOQ 276G>Tmerupakan faktor risiko PK. Subjek dengan genotip GT berisiko 4,2 kali menderita PKdengan DM tipe-2 dibandingkan dengan subjek genotip GG. Model risiko PK dibentukdari faktor risiko usia, LDL, indeks kalkulus, gen adiponektin serta BMI dengan kekuatanhubungan kuat >80.

ABSTRACT
Periodontitis is a chronic disease of the oral cavity that contributes to the burden ofchronic diseases worldwide. Severe chronic inflammation in chronic periodontitis CP will lead to systemic responses cause by bacteria and the breakdown products. Theassociation between CP with type 2 diabetes mellitus T2DM occurs because oralinfection is a predisposing factor for T2DM, whereas T2DM becomes a CP predisposingfactor. Adipocytokine induces insulin resistance, acts as a mediator of periodontal diseaseand T2DM. Resistin and adiponectin are adipocytokines. The purpose of this study wasto predict the role of adipocytokines to the relationship between CP and T2DM, in termsof adiponectin gene polymorphisms, levels of gingival crevicular fluids GCF and serumresistin and adiponectin, and the CP susceptibility risk model. Fifty subject with CP nondiabetes age range 29-68 and 50 CP subject age 30-73 with T2DM were selected. Theperiodontal status, diabetes status, BMI and the levels of GCF and serum resistin andadiponectin were assessed. Bivariate test showed significant differences p T gene polymorphism, resistin and adiponectin levels in GCF, HbA1clevels, and BMI between CP non-DM and CP T2DM subject. Gene polymorphismADIPOQ 276G>T is a risk factor for CP. The subject with GT genotype 4.2 times OR4.2 suffering from CP with DM type-2 compare to the subject with GG genotype. TheCP risk model was formed from risks factors age, LDL, calculus index, adiponectin geneand BMI with strong relation strength > 80 ."
Jakarta: Fakultas Kedokteran Gigi Universitas Indonesia, 2018
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UI - Disertasi Membership  Universitas Indonesia Library
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Chaerita Maulani
"Periodontitis merupakan penyakit inflamasi kronis dengan etiologi umum yaitu plak dan bakteri. Virus merupakan mikroorganisme yang diduga turut berperan dalam etiologi
periodontitis. Faktor genetik yaitu polimorfisme IFN-γ +874T/A (rs2430561) juga dapat mempengaruhi kerentanan seseorang terhadap periodontitis. Kadar IFN-γ sebagai salah satu respon host terhadap virus, dapat meningkat pada subjek dengan periodontitis. Faktor prediksi periodontitis yang telah dikenal berperan dalam etiologi periodontitis adalah faktor sosiodemografis (usia, jenis kelamin), parameter klinis (body mass index (BMI), merokok dan kebersihan mulut). Polimorfisme +874T/A (rs2430561) diduga mempengaruhi kadar IFN-γ. Tujuan: menganalisis hubungan antara virus Epstein-Barr (VEB), polimorfisme gen interferon gamma (IFN-γ +874T/A (rs2430561), kadar IFN-γ,
sosiodemografis dan parameter klinis dengan periodontitis dan mendapatkan indeks prediksi periodontitis. Tujuan kedua adalah mengetahui hubungan antara polimorfisme
IFN-γ dengan kadar IFN-γ. Metode: Evaluasi dilakukan pada 136 subjek yang dilakukan pemeriksaan klinis jaringan periodontal yang telah memenuhi kriteria inklusi. Cairan
krevikular gingiva (CGK) diperiksa dengan paper point kemudian dilakukan analisis kadar IFN-γ dengan metode ELISA dan dilakukan ekstraksi DNA dan diperiksa DNA VEB
dengan metode qRT-PCR. Ekstraksi DNA dari darah perifer subjek kemudian dianalisis genotipnya dengan menggunakan teknik RFLP. Data sosiodemografis (usia, jenis kelamin) dan parameter klinis (BMI, merokok dan kebersihan mulut) diperiksa dan dianalisis. Uji multivariat regresi logistik dilakukan untuk memperoleh faktor yang paling berperan pada periodontitis. Hasil: Tidak ditemukan hubungan bermakna antara VEB dengan periodontitis (p>0,05), namun deteksi VEB lebih banyak ditemukan pada periodontitis sedang-berat dibanding periodontitis ringan. Polimorfisme IFN-γ +874T/A (rs2430561) genotip AT atau TT mempunyai hubungan bermakna dengan periodontitis (OR=2,70; p=0,036) dibandingkan dengan genotip AA. Hubungan bermakna ditemukan pada kadar IFN-γ (OR=2,87; p=0,034), jenis kelamin (OR=0,04; p< 0,001) dan kebersihan mulut (OR 9,03, p=0,002) dengan periodontitis. Hubungan polimorfisme
IFN-γ +874T/A (rs2430561) dengan kadar IFN-γ ditemukan tidak bermakna (p>0,05).
Kesimpulan: Indeks prediksi periodontitis model satu didapatkan faktor prediksi jenis kelamin, kebersihan mulut, kadar IFN-γ dan polimorfisme +874T/A (rs2430561) yang mempengaruhi periodontitis. Indeks prediksi model dua didapatkan faktor prediksi jenis kelamin, kebersihan mulut dan kadar IFN-γ sebagai indeks prediksi periodontitis yang
lebih aplikatif. Polimorfisme IFN-γ +874T/A (rs2430561) tidak mempengaruhi kadar IFN-γ pada subjek periodontitis.

Periodontitis is a chronic inflammatory disease of periodontium that has a multifactorial origin. Dental plaque and bacteria widely known as the main etiology in periodontitis Viruses are microorganisms that are thought to play a role in the etiology of periodontitis. The IFN-γ genetic polymorphisms may cause an alteration in host immune response. IFN-γ cytokine has important roles toward virus and intracellular bacteria and the level of IFN-
γ increased in periodontitis patients. Sociodemographic factors (age, gender), clinical parameters (body mass index (BMI), smoking, and oral hygiene) are associated with the increased risk and severity of periodontitis. The polymorphisms of IFN-γ +874T/A (rs2430561) may affect the production of IFN-γ. Objective: to analyze the relationship between Epstein-Barr virus (EBV), interferon-gamma (IFN-γ) gene polymorphism +874T/A (rs2430561), IFN-γ levels, sociodemographic and clinical parameters with
periodontitis and obtain a predictive index of periodontitis. The second objective was to determine the relationship between IFN-γ polymorphisms and IFN-γ levels. Methods: A total of 136 subjects who met the inclusion criteria were invited to participate in the study.
Periodontal status was assessed by pocket depth, clinical attachment loss, and number of teeth. The IFN-γ level obtained from gingival crevicular fluid were measured using Human IFN-γ ELISA kit. EBV DNA positivity was determined in GCF samples using quantitative real-time PCR. DNA for single-nucleotide polymorphism (SNP) genotyping was extracted from the peripheral blood and the genotype was analyzed using the RFLP technique. Sociodemographic data and clinical parameters were examined and analyzed. Multivariate logistic regression analysis was performed to identify predictors associated
with periodontitis. Results: The association between EBV and periodontitis was not significant (p>0,05), but the positive EBV detection was found higher in moderate-severe
periodontitis than mild periodontitis. Statistically significant differences were found in IFN-γ +874T/A (rs2430561) polymorphism between genotype AA, AT, TT, and the protein expressions of severe and mild periodontitis samples (OR 2.70, p=0.036; OR 2.87, p=0.034, respectively). Gender and oral hygiene were showed significantly difference (OR 0.04, p < 0.001; OR 9.03, p = 0.002, respectively). The +874T/A (rs2430561)
polymorphism association with IFN-γ levels was not significant (p>0.05). Conclusion: The final predictive index of periodontitis consists of gender, oral hygiene, IFN-γ levels, and polymorphism +874T/A (rs2430561). The second model consists of gender, oral hygiene and IFN-γ levels which were more applicable in less lab facility. The +874T/A (rs2430561) polymorphism did not affect IFN-γ levels in periodontitis subjects.
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Depok: Fakultas Kedokteran Gigi Universitas Indonesia, 2021
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UI - Disertasi Membership  Universitas Indonesia Library
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RR. Tut Wuri Andajani
"Gen Osteokalsin merupakan gen kandidat terjadinya osteoporosis.. Polimorfisme pada gen tersebut menyebabkan densitas tulang menurun. Densitas tulang juga dipengaruhi oleh aktivitas fisik dan asupan makanan. Faktor-faktor tersebut untuk mendapatkan model prediksi tulang sehingga dapat dilakukan pencegahan. Dengan demikian dilakukan pengukuran densitas tulang, pemeriksaan biokimia darah serta polimorfisme gen osteokalsin digunakan enzim HindIII dengan teknik PCR-RFLP. Diperoleh rataan usia 67,21±9,1; IMT 22,14±4,08; fosfat alkalin 87,26±25; kalsium 8,9±0,82; estradiol 24,8±11,7; osteokalsin 1,75±0,83; mempunyai T-score ≤ - 2,5 dengan varian TT (64,3%) diikuti varian CC (60,6%) dan CT (50%) sehingga diperoleh model yang dapat memprediksi derajat keparahan tulang.

The aim of the research to obtain a model that uses the genetic factors, the environment and nutrient to predict bone density and risk of osteoporotic fracture. Bone mineral density and biochemical markers were determined, as well as the C298T polymorphism status of osteocalcin gene using PCR-RFLP. The subjects had a mean age of 67.2±9.1 years. ; BMD 22.14±4.08; phosphate alkaline 87.26±25; calcium 8.9 ±0.82; estradiol 24.8±11.7; osteocalcin 1.75±0.83; the C298T polymorphic genotypes showed TT (64.3%) CC (60.6 %) and a CT (50%) determine in T-score≤ -2,5. We identified a model of age and the level osteocalcin that can predict severity of bone density."
Jakarta: Fakultas Kedokteran Gigi Universitas Indonesia, 2014
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UI - Disertasi Membership  Universitas Indonesia Library