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Profil Aberasi Kromosom Pasien Malformasi Kongenital Multipel Non-Sindromik Yulia Ariani Aswin; Rizky Abi Rachmadi
eJournal Kedokteran Indonesia Vol. 10 No. 2 - Agustus 2022
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23886/ejki.10.179.114-20

Abstract

Malformasi kongenital multipel (MKM) non-sindromik merupakan penyakit neonatal dengan mortalitas tinggi, menurunkan kualitas hidup anak dan mahalnya biaya perawatan. Untuk mendiagnosis MKM-non-sindromik diperlukan analisis kromosom secara akurat dengan biaya terjangkau yaitu metode G-banding, namun detection rate belum diketahui. Penelitian bertujuan untuk mengetahui proporsi MKM non-sindromik yang dapat didiagnosis dengan metode G-banding. Penelitian ini menggunakan desain potong lintang dengan subjek semua pasien yang datang ke laboratorium sitogenetik Departemen Biologi FKUI pada Juli 2014 sampai dengan Desember 2017. Pasien dilakukan pemeriksaan fisis kemudian dibandingkan dengan basis data Online Mendelian Inheritance in Man (OMIM) untuk menyeleksi pasien MKM sindromik dan non-sindromik. Sebanyak 34 dari 83 subjek (41%) dapat ditegakkan diagnosis klinis menggunakan database fenotip. Sebanyak 49 pasien memenuhi kriteria penelitian kemudian dilakukan analisis kromosom dengan metode G-banding. Terdapat 17 (34,7%) subyek yang menunjukkan aberasi kromosom. Tiga fenotip tersering pada subjek adalah hambatan pertumbuhan, mikrosefali, dan penyakit jantung bawaan. Disimpulkan metode G-banding sebagai pemeriksaan skrining awal pada MKM berperan penting dalam mendiagnosis penyebab genetik. Kata kunci: MKM non-sindromik, basis data fenotip, Indonesia, G-banding.   Chromosome Aberration Profiles in Patients with Non-Syndromic Multiple Congenital Malformation Abstract Non-syndromic multiple congenital malformations (MCM) remains a significant problem in Indonesia as it causes high mortality and morbidity rate in neonates and infants as well as a significant financial burden for families in caring for patients with non-syndromic MCM. Genetics is the major cause of non-syndromic MCM, and more than 50% is caused by chromosomal abnormalities. Considering the condition in Indonesia, where most families have a low socioeconomic background and where there are limited molecular genetics laboratory facilities, this research aims to study the proportion of non-syndromic MCM that can be detected using G-banding and describe chromosome aberration profiles in non-syndromic MCM patients. The Online Mendelian Inheritance in Man (OMIM) was used to differentiate non-syndromic and syndromic MCM in 83 recruited MCM patients. Thirtyfour patients (41%) were diagnosed using a phenotype database based on clinical signs. The three most common phenotypes were growth failure, microcephaly, and congenital heart diseases. Forty-nine patients were classified with non-syndromic MCM after filtering with OMIM and underwent G-banding. Seventeen out of 49 non-syndromic MCM patients (34.7%) had chromosome aberration after G-banding. This indicates that G-banding remains an effective first-line screening tool for non-syndromic MCM in Indonesia. Keywords: non-syndromic multiple congenital malformation, phenotype database, G-banding, Indonesia.
GBE1 Inhibition: Alternative Therapy for Lung Cancer by Altering Glucose Metabolism Istiqomah, Anisa; Ariani, Yulia; Ari Pujianto, Dwi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i3.57677

Abstract

Lung cancer represents a neoplastic malignancy within pulmonary tissue and is associated with the highest mortality rate attributed to cancer globally. Non-Small Cell Lung Cancer (NSCLC) constitutes the predominant category of lung cancer, accounting for approximately 80-85% of all diagnosed cases, with adenocarcinoma subtyping comprising nearly 40% of NSCLC instances. Despite advancements in surgical techniques and diverse therapeutic modalities, the five-year survival rate remains below 20%, necessitating ongoing research endeavors aimed at the enhancement of lung cancer treatment paradigms. This review investigates the intricate interplay between Glycogen Branching Enzyme 1 (GBE1) and metabolic reprogramming, as well as its interaction with hypoxic environments and subsequent effects on the phenotypic characteristics of lung cancer cells. Hypoxic conditions frequently manifest in solid tumors, including lung cancer, eliciting adaptive responses such as the activation of Hypoxia-Inducible Factor-1 alpha (HIF1α), which subsequently initiates angiogenesis, induces metabolic alterations, and contributes to therapeutic resistance. Glycogen Branching Enzyme 1 (GBE1) serves as a critical enzyme involved in the synthesis of glycogen branching structures. In the context of lung adenocarcinoma (LUAD), GBE1 operates within the downstream signaling cascade of the Hypoxia-Inducible Factor-1 (HIF1) pathway. This review aspires to furnish novel insights into the pathogenesis of lung cancer and to assess the strategic targeting of the HIF1α/GBE1/NF-κB/FBP1 axis as a promising therapeutic approach for LUAD.