首页|Peking Union Medical College Hospital Reports Findings in Bioinformatics (Aqueou s humor proteomics analyzed by bioinformatics and machine learning in PDR cases versus controls)
Peking Union Medical College Hospital Reports Findings in Bioinformatics (Aqueou s humor proteomics analyzed by bioinformatics and machine learning in PDR cases versus controls)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “To comp rehend the complexities of pathophysiological mechanisms and molecular events th at contribute to proliferative diabetic retinopathy (PDR) and evaluate the diagn ostic value of aqueous humor (AH) in monitoring the onset of PDR. A cohort conta ining 16 PDR and 10 cataract patients and another validation cohort containing 8 PDR and 4 cataract patients were studied.” Our news journalists obtained a quote from the research from Peking Union Medica l College Hospital, “AH was collected and subjected to proteomics analyses. Bioi nformatics analysis and a machine learningbased pipeline called inference of bi omolecular combinations with minimal bias were used to explore the functional re levance, hub proteins, and biomarkers. Deep profiling of AH proteomes revealed s everal insights. First, the combination of SIAE, SEMA7A, GNS, and IGKV3D-15 and the combination of ATP6AP1, SPARCL1, and SERPINA7 could serve as surrogate prote in biomarkers for monitoring PDR progression. Second, ALB, FN1, ACTB, SERPINA1, C3, and VTN acted as hub proteins in the profiling of AH proteomes. SERPINA1 was the protein with the highest correlation coefficient not only for BCVA but also for the duration of diabetes. Third, ‘Complement and coagulation cascades’ was an important pathway for PDR development. AH proteomics provides stable and accu rate biomarkers for early warning and diagnosis of PDR.”
BeijingPeople’s Republic of ChinaAsi aBioinformaticsBiomarkersBiotechnologyCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineInformation TechnologyMachine Le arningProteomics
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