Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376872796> ?p ?o ?g. }
- W4376872796 endingPage "11" @default.
- W4376872796 startingPage "11" @default.
- W4376872796 abstract "Alterations in the gut microbiota have been associated with age-related macular degeneration (AMD). However, the dysbiosis shared by different ethnicity and geographic groups, which may associate with the disease pathogenesis, remain underexplored. Here, we characterized dysbiosis of the gut microbiota in patients with AMD from Chinese and Swiss cohorts and identified cross-cohort signatures associated with AMD.Shotgun metagenomic sequencing was performed on fecal samples from 30 patients with AMD and 30 healthy subjects. Published datasets with 138 samples from Swiss patients with AMD and healthy subjects were re-analyzed. Comprehensive taxonomic profiling was conducted by matching to the RefSeq genome database, metagenome-assembled genome (MAG) database, and Gut Virome Database (GVD). Functional profiling was performed by reconstruction of the MetaCyc pathways.The α-diversity of the gut microbiota was decreased in patients with AMD according to taxonomic profiles generated using MAG but not RefSeq database as reference. The Firmicutes/Bacteroidetes ratio was also decreased in patients with AMD. Among AMD-associated bacteria shared between Chinese and Swiss cohorts, Ruminococcus callidus, Lactobacillus gasseri, and Prevotellaceae (f) uSGB 2135 were enriched in patients with AMD, whereas Bacteroidaceae (f) uSGB 1825 was depleted in patients with AMD and was negatively associated with hemorrhage size. Bacteroidaceae was one of the major hosts of phages associated with AMD. Three degradation pathways were reduced in AMD.These results demonstrated that dysbiosis of the gut microbiota was associated with AMD. We identified cross-cohort gut microbial signatures involving bacteria, viruses, and metabolic pathways, which potentially serve as promising targets for the prevention or treatment of AMD." @default.
- W4376872796 created "2023-05-18" @default.
- W4376872796 creator A5002196970 @default.
- W4376872796 creator A5016923575 @default.
- W4376872796 creator A5017384752 @default.
- W4376872796 creator A5023726088 @default.
- W4376872796 creator A5027549114 @default.
- W4376872796 creator A5038229401 @default.
- W4376872796 creator A5038282753 @default.
- W4376872796 creator A5049930393 @default.
- W4376872796 creator A5050852420 @default.
- W4376872796 creator A5050872450 @default.
- W4376872796 creator A5054480777 @default.
- W4376872796 creator A5067355537 @default.
- W4376872796 creator A5070440651 @default.
- W4376872796 creator A5072757788 @default.
- W4376872796 creator A5090780152 @default.
- W4376872796 date "2023-05-17" @default.
- W4376872796 modified "2023-10-16" @default.
- W4376872796 title "Metagenomic Sequencing Analysis Identifies Cross-Cohort Gut Microbial Signatures Associated With Age-Related Macular Degeneration" @default.
- W4376872796 cites W137104719 @default.
- W4376872796 cites W1868032452 @default.
- W4376872796 cites W1913779731 @default.
- W4376872796 cites W1988252501 @default.
- W4376872796 cites W2013236917 @default.
- W4376872796 cites W2049290211 @default.
- W4376872796 cites W2097423946 @default.
- W4376872796 cites W2121180999 @default.
- W4376872796 cites W2131271579 @default.
- W4376872796 cites W2133169528 @default.
- W4376872796 cites W2133856765 @default.
- W4376872796 cites W2140161080 @default.
- W4376872796 cites W2144109966 @default.
- W4376872796 cites W2160226180 @default.
- W4376872796 cites W2163460114 @default.
- W4376872796 cites W2170551349 @default.
- W4376872796 cites W2282752639 @default.
- W4376872796 cites W2339765445 @default.
- W4376872796 cites W2552235278 @default.
- W4376872796 cites W2572128045 @default.
- W4376872796 cites W2615974729 @default.
- W4376872796 cites W2754579667 @default.
- W4376872796 cites W2766078459 @default.
- W4376872796 cites W2894062910 @default.
- W4376872796 cites W2897132705 @default.
- W4376872796 cites W2897611961 @default.
- W4376872796 cites W2905995477 @default.
- W4376872796 cites W2910615673 @default.
- W4376872796 cites W2913972921 @default.
- W4376872796 cites W2917674194 @default.
- W4376872796 cites W2950418422 @default.
- W4376872796 cites W2990618091 @default.
- W4376872796 cites W2999778998 @default.
- W4376872796 cites W3005831619 @default.
- W4376872796 cites W3013421815 @default.
- W4376872796 cites W3019706413 @default.
- W4376872796 cites W3081166727 @default.
- W4376872796 cites W3082307877 @default.
- W4376872796 cites W3135637836 @default.
- W4376872796 cites W3205025967 @default.
- W4376872796 cites W3211779138 @default.
- W4376872796 cites W4211020962 @default.
- W4376872796 doi "https://doi.org/10.1167/iovs.64.5.11" @default.
- W4376872796 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37195657" @default.
- W4376872796 hasPublicationYear "2023" @default.
- W4376872796 type Work @default.
- W4376872796 citedByCount "1" @default.
- W4376872796 countsByYear W43768727962023 @default.
- W4376872796 crossrefType "journal-article" @default.
- W4376872796 hasAuthorship W4376872796A5002196970 @default.
- W4376872796 hasAuthorship W4376872796A5016923575 @default.
- W4376872796 hasAuthorship W4376872796A5017384752 @default.
- W4376872796 hasAuthorship W4376872796A5023726088 @default.
- W4376872796 hasAuthorship W4376872796A5027549114 @default.
- W4376872796 hasAuthorship W4376872796A5038229401 @default.
- W4376872796 hasAuthorship W4376872796A5038282753 @default.
- W4376872796 hasAuthorship W4376872796A5049930393 @default.
- W4376872796 hasAuthorship W4376872796A5050852420 @default.
- W4376872796 hasAuthorship W4376872796A5050872450 @default.
- W4376872796 hasAuthorship W4376872796A5054480777 @default.
- W4376872796 hasAuthorship W4376872796A5067355537 @default.
- W4376872796 hasAuthorship W4376872796A5070440651 @default.
- W4376872796 hasAuthorship W4376872796A5072757788 @default.
- W4376872796 hasAuthorship W4376872796A5090780152 @default.
- W4376872796 hasBestOaLocation W43768727961 @default.
- W4376872796 hasConcept C104317684 @default.
- W4376872796 hasConcept C118487528 @default.
- W4376872796 hasConcept C143121216 @default.
- W4376872796 hasConcept C15151743 @default.
- W4376872796 hasConcept C203014093 @default.
- W4376872796 hasConcept C2776202939 @default.
- W4376872796 hasConcept C2776403814 @default.
- W4376872796 hasConcept C2777165150 @default.
- W4376872796 hasConcept C2777695942 @default.
- W4376872796 hasConcept C2780027724 @default.
- W4376872796 hasConcept C42062724 @default.
- W4376872796 hasConcept C523546767 @default.
- W4376872796 hasConcept C539455810 @default.