ArticleFrontiers in microbiology2021
Altered Fecal Microbiome and Metabolome in a Mouse Model of Choroidal Neovascularization.
Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Intestinal toxicity evaluation of polygala total saponins in mice according to toxicological evidence chain (TEC) concept.Frontiers in pharmacology · 2026Article
- The gut-eye axis in age-related macular degeneration: from microbial dysbiosis to targeted intervention strategies.Experimental biology and medicine (Maywood, N.J.) · 2026Review
- Genetically predicted causal links between gut microbiota and biological aging phenotypes in age-related macular degeneration.Biogerontology · 2025Article
- Dietary Interventions withFoods (Basel, Switzerland) · 2025Article
- Gender Differences in Dendritic Damage, Gut Microbiota Dysbiosis, and Cognitive Impairment During Aging Processes.CNS neuroscience & therapeutics · 2024Article
- From Gut to Eye: Exploring the Role of Microbiome Imbalance in Ocular Diseases.Journal of clinical medicine · 2024Review
- Article
- Causal Effects of Gut Microbiota on Age-Related Macular Degeneration: A Mendelian Randomization Study.Investigative ophthalmology & visual science · 2023Article
- Targeting the Gut-Eye Axis: An Emerging Strategy to Face Ocular Diseases.International journal of molecular sciences · 2023Review
- Alterations in Faecal and Serum Metabolic Profiles in Patients with Neovascular Age-Related Macular Degeneration.Nutrients · 2023Article
- Research progress of diabetic retinopathy and gut microecology.Frontiers in microbiology · 2023Review
- Review
- Seasonal variations in the composition and diversity of gut microbiota in white-lipped deer (PeerJ · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeChoroidal neovascularization (CNV) is the defining feature of neovascular age-related macular degeneration (nAMD). Gut microbiota might be deeply involved in the pathogenesis of nAMD. This study aimed to reveal the roles of the gut microbiome and fecal metabolome in a mouse model of laser-induced CNV.
methodsThe feces of C57BL/6J mice with or without laser-induced CNV were collected. Multi-omics analyses, including 16S rRNA gene sequencing and untargeted metabolomics, were conducted to analyze the changes in the gut microbial composition and the fecal metabolomic profiles in CNV mice.
resultsThe gut microbiota was significantly altered in CNV mice. The abundance of
conclusionThe study identified an altered fecal microbiome and metabolome in a CNV mouse model. The altered microbes, metabolites and the involved pathways might be associated with the pathogenesis of nAMD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.