Livia Spörri, Justyna M Studer, Marco Kreuzer, Jérémy Rotzetter, Daniel Schärer, Carlo R Largiadèr, Damian Jaggi, Martin S Zinkernagel, Denise C Zysset-Burri
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引用次数: 0
Abstract
Age-related macular degeneration (AMD) is the leading cause of vision loss in the aged population with the late stage geographic atrophy (GA). Risk factors for AMD include age, genetic variants in the complement system, nutritional factors, and alterations in the gut microbiome (GM). To identify taxonomic and functional differences in the microbiome associated to disease pathophysiology and genetic risk factors, this study investigated the GM and the ocular surface microbiome (OSM) of GA patients compared to healthy controls by whole-metagenome shotgun sequencing. 16 AMD-associated SNPs were genotyped from blood samples using TaqMan assays and Sanger sequencing. While GA patients showed differences in the GM, and altered metabolic pathways including inosine 5'-phosphate degradation, NAD salvage, and ketogenesis, no alterations in the OSM were found. Genetic analysis associated SNP rs1061170 in the complement factor H gene with GA. These findings suggest that microbial alterations may contribute to GA through inflammation and oxidative stress.Registry: ClinicalTrials.gov, NCT02438111, Registration date: 28 April 2015, and NCT04658238, Registration date: 01 December 2020.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.