Results for 'Mirna Widiyanti'

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  1. PREDICTOR OF ANEMIA AMONG PEOPLE LIVING WITH HIV TAKING TENOFOVIR+LAMIVUDINE+EFAVIRENZ THERAPY IN JAYAPURA, PAPUA.Setyo Adiningsih, Tri Nury Kridaningsih, Mirna Widiyanti & Tri Wahyuni - 2023 - Jurnal Berkala Epidemiologi 11 (1):32-39.
    Background: The most common hematological abnormality among people infected with Human Immunodeficiency Virus (HIV) is anemia. This is also related to high mortality risk among patients receiving Antiretroviral Therapy (ART). Purpose: This study aimed to identify predictors of anemia among HIV patients taking ART using a regimen of the single-tablet drug contain tenofovir, lamivudine, and efavirenz in Jayapura, Papua. Methods: This was a cross-sectional study conducted at Jayapura regional hospital from June to September 2017. A total of 80 HIV patients (...)
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  2. Signature of Serum miR-199a/b in Coronary Artery Bypass Graft Surgery.Erman Kandilli, Şenay Görücü Yılmaz, Murat Yardımcı, Muradiye Nacak & Necla Benlier - 2023 - European Journal of Therapeutics 29 (1):1-9.
    Objective: microRNAs (miRNAs) have important potential as biomarkers in the diagnosis and prognosis of ischemia/reperfusion (I/R) injury in coronary artery bypass grafting surgery (CABG). This study investigated the relationship between preoperative (preop) and postoperative (post-op) cardiac parameters and miRNA expressions in CABG. -/- Methods: We analyzed a total of 94 individuals (CABG, n= 46 and healthy control, n=48). Quantitative real-time polymerase chain reaction (qRT) was performed to determine plasma miRNA expressions (miR-21, miR-181a, miR-199a, miR-199b, and miR-320a-5p) in triplicates: (...)
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  3. A semantic approach for knowledge capture of microRNA-target gene interactions.Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang & Zixing Liu - 2015 - In IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015),. pp. 975-982.
    Research has indicated that microRNAs (miRNAs), a special class of non-coding RNAs (ncRNAs), can perform important roles in different biological and pathological processes. miRNAs’ functions are realized by regulating their respective target genes (targets). It is thus critical to identify and analyze miRNA-target interactions for a better understanding and delineation of miRNAs’ functions. However, conventional knowledge discovery and acquisition methods have many limitations. Fortunately, semantic technologies that are based on domain ontologies can render great assistance in this regard. In (...)
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