Computational Analysis of Clinical and Molecular Markers and New Theranostic Possibilities in Primary Open-Angle Glaucoma.
María D Pinazo-DuránJosé Javier García-MedinaJosé M BolarínSilvia M Sanz-GonzálezMar Valero-VelloJavier Abellán-AbenzaVicente C Zanón-MorenoJavier Moreno-MontañésPublished in: Journal of clinical medicine (2020)
Primary open-angle glaucoma (POAG) is a paramount cause of irreversible visual disability worldwide. We focus on identifying clinical and molecular facts that may help elucidating the pathogenic mechanisms of the disease. By using ophthalmological approaches (biomicroscopy, ocular fundus, optical coherence tomography, and perimetry) and experimental tests (enzyme-linked immunosorbent assay (ELISA), high performance liquid chromatography (HPLC), and Western blot/immunoblotting) directed to evaluate the oxidative stress, inflammation, apoptosis, and neurodegeneration processes, we gather information to build a network of data to perform a computational bioinformatics analysis. Our results showed strong interaction of the above players and its downstream effectors in POAG pathogenesis. In conclusion, specific risk factors were identified, and molecules involved in multiple pathways were found in relation to anterior and posterior eye segment glaucoma changes, pointing to new theranostic challenges for better managing POAG progression.
Keyphrases
- oxidative stress
- high performance liquid chromatography
- simultaneous determination
- risk factors
- tandem mass spectrometry
- mass spectrometry
- solid phase extraction
- photodynamic therapy
- bioinformatics analysis
- ms ms
- optic nerve
- diabetic retinopathy
- dna damage
- single molecule
- multiple sclerosis
- fluorescence imaging
- ischemia reperfusion injury
- cell death
- diabetic rats
- high throughput
- electronic health record
- machine learning
- cell proliferation
- data analysis