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Darlina Darlina
Research Center for Safety, Metrology, and Nuclear Quality Technology, Research Organization for Nuclear Energy, National Research and Innovation Agency, Jakarta
Biochemistry, Genetics & Molecular Biology Immunology & microbiology Medicine & Pharmacology Public Health

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Adaptive Response of Peripheral Blood Lymphocytes in Medical Radiation Workers using the Comet Assay: A Preliminary Studyomet Assay: A Preliminary Study Teja Kisnanto; Darlina Darlina; Arifin Musthafa; Fielda Djuita; Harry Nugroho Eko Surniyantoro; Iin Kurnia Hasan Basri
Indonesian Journal of Cancer Vol 16, No 2 (2022): June
Publisher : National Cancer Center - Dharmais Cancer Hospital

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.112 KB) | DOI: 10.33371/ijoc.v16i2.854

Abstract

Background: Gamma irradiation can cause DNA damage in single and double-strand breaks (SSBs & DSBs), especially in peripheral blood lymphocytes. Radiotherapy medical radiation workers can be exposed to gamma radiation related to their daily work. The comet assay is a sensitive method for analyzing DNA damage, especially SSBs. This study explores DNA damage in medical radiation workers’ peripheral blood lymphocytes as an adaptive response using the comet assay.Methods: Blood samples were obtained from four radiotherapy medical radiation workers as a case study (MRW) and two non-medical radiation workers as controls, and then irradiated with various doses of 0, 1, 1.5, and 2 Gy. Lymphocytes were isolated by histopaque and processed by comet assay on the slide under alkaline conditions. The imaging results were analyzed using the Casplab_1.2.3b2 software. The comet assay parameters observed were Tail Length (TL), % Tail DNA (T.DNA), Tail Moment (TM), and Olive Tail Moment (OTM). The one-way ANOVA method was used to analyze statistically between treatment groups. Results: Based on the study results, an increase in TL, T.DNA, TM, and OTM values in all samples was directly proportional to the increase in radiation dose. However, there was no significant difference (P > 0.05) between the MRW group and the control group on each parameter of the comet assay.Conclusions: From this study, it can be concluded that the level of DNA damage of lymphocyte cells as part of the adaptive response in the MRW and control groups was relatively similar after exposure at doses of 0, 1, 1.5, and 2 Gy.
Phosphorylated Ataxia Telangiectasia Mutated (pATM) Enzyme-Linked Immunosorbent Assay (ELISA) for Predicting Radiation Induces Normal Tissue Toxicity in Radiotherapy Patients: A Systematic Review Sofiati Purnami; Viria Agesti Suvifan; Dwi Ramadhani; Yanti Lusiyanti; Darlina Darlina; Nastiti Rahajeng; Mukh Syaifudin; Dwi Ari Pujianto; Retno Widowati
Indonesian Journal of Cancer Vol 17, No 3 (2023): September
Publisher : http://dharmais.co.id/

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33371/ijoc.v17i3.971

Abstract

Background: An adverse normal tissue response, such as normal tissue toxicity (NTT), is present in radiotherapy (RT) patients and can limit the effectiveness of the RT treatment. Identifying patients with adverse tissue responses before RT had clinical benefits and individual radiosensitivity (IRS) is considered an important factor in NTT incidences. Therefore, this systematic study aimed to determine the possibility of using phosphorylated Ataxia Telangiectasia Mutated (pATM) Enzyme-Linked Immunosorbent Assay (ELISA) to predict NTT in RT patients.Methods: A comprehensive data search was conducted in three electronic databases, namely PUBMED CENTRAL, ScienceDirect, and SCOPUS. The quality of relevant publications was independently evaluated using the PICO (participants, intervention/exposure, comparison, and outcome) approach.Results: : A total of 47 articles were retrieved, 41 of which were assessed based on the titles and abstracts. Furthermore, 39 articles were excluded, and 2 were included in this study.Conclusions: The phosphorylated ATM ELISA on lymphocytes showed promising results for IRS prediction in RT patients. However, these assumptions should be validated on a larger RT patient cohort.
Co-Authors Arifin Musthafa Dwi Ari Pujianto Dwi Ramadhani Fielda Djuita Harry Nugroho Eko Surniyantoro Iin Kurnia Hasan Basri Mukh Syaifudin Nastiti Rahajeng Retno Widowati Sofiati Purnami Teja Kisnanto Viria Agesti Suvifan Yanti Lusiyanti