and genetic factors play a role in the pathogenesis of the dis- ease; these factors are controlled by epigenetic mechanisms. There is a demand of clinical biomarkers for diagnosis of asthma and monitoring the response to therapy. In this study, we aimed to evaluate the role of lnc-MEG3 expression and its downstream effector in the pathogenesis of bronchial asthma disease. Methods: Based on bioinformatics analysis using online data- bases, the current work has been designed to study the expres- sion status of lnc-MEG3 and GDF15 mRNA in serum and sputum of asthmatic children aiming to find its clinical significance. This study was conducted on 30 children, 15 children newly diagnosed with bronchial asthma as patient group (A) and 15 age and sex matched healthy children as control Quantitative PCR was carried out to evaluate the pattern of selected biomarkers in serum and matic children. Results: The expression of circulating lnc-MEG3 was cardiac and renal tissues was also performed. In addition, quan- titative expression of cardiac and renal tissue MFN2 and lncRNA H19 was determined using qPCR. Results: Serum CK-MB and lipid profile levels were markedly elevated in diabetic group compared to controls. Also, kidney functions (serum creatinine, creatinine clearance and albumin creatinine ratio) were markedly elevated in diabetic group com- pared to controls. Histological examination revealed necrotic changes and intercellular micro hemorrhages in both cardiac and renal tissues of diabetic rats. Expression level of MFN2 gene was lower in diabetic heart and significantly lower in diabetic kidney, as compared to control. Expression of lncRNA H19 was higher in diabetic heart and diabetic kidney as compared to con- Transcriptome Spectral Analysis using Hyperspectral Imaging for Hepatocellular Carcinoma Detection Ibrahim H. Aboughaleb 1 , M. Matboli 2 , Sherif M Shawky 3,4 , Mohamed Hisham Aref 1 andYasser H. El-Sharkawy 1 1 Biomedical Engineering Dept., Military Technical College, Cairo, Egypt 2 Oncology Diagnostic Unit, Medical Biochemistry and Molecular Biology Dept, Faculty of Medicine, Ain Shams University, Cairo, Egypt 3 Center of Genomics, Helmy institute, Zewail City of Science and Technology, Sheikh Zayed Dist., 12588 Giza, Egypt 4 Misr University for Science and Technology, Faculty of Pharmacy, Biochemistry Department, Giza, Egypt Corresponding author: ehe43@hotmail.com; Tel.: þ20-0122- 333-8740 Hepatocellular carcinoma (HCC) is a noteworthy health problem with a poor diagnosis due to limited detection techniques. Transcriptome studies can be used to classify cancer further away from anatomical location and histopathology. Recent stud- ies demonstrated the novelty of numerous types of specific RNA biomarkers that differentially expressed both the normal liver and the HCC tissues, but those specific types overlapped with the detection of other types of cancers. In this study, total RNA was used to ensure the existence of differences between different cancer types. A multispectral light source (340-1000 nm) inter- acted with the sample. Multi-wavelengths images were captured using a hyperspectral camera (wavelength 380-1000 nm). The optimum wavelength to discriminate between the normal and HCC samples was selected by calculating the optical properties (transmission, absorption and scattered light). Results showed specific spectral signatures for total RNA within the red-band (633-700 nm) that discriminate HCC from control. The amount of light scattering, transmission and absorption relatively changed due to the variations of size, shape, and concentration of total RNA. The spectral RNA signature that is dependent on the shape and size of total RNA may be utilized as the gold standard for HCC detection. QJM: An International Journal of Medicine, 2021, Vol. 114, Suppl. 1 | i51 Downloaded from https://academic.oup.com/qjmed/article/114/Supplement_1/hcab088.004/6379363 by guest on 16 September 2023