Uncovering the relationship between the human ocular surface microbiome and gut microbiome

The human body harbors diverse microbial communities that play essential roles in health and disease. While the gut microbiome (GM) has been extensively studied and linked to numerous systemic conditions, the ocular surface microbiome (OSM) remains less well understood due to its low microbial biomass and technical challenges in sequencing. Previous work has suggested possible connections between gut dysbiosis and ocular disease, but whether the OSM and GM are directly related remains unclear. This study investigated the relationship between the ocular surface microbiome (OSM) and the gut microbiome (GM) by analysing matched samples from both niches in the same individuals. Using high-throughput sequencing, we characterised microbial composition and diversity at each niche, followed by statistical analysis to show common taxa. A Mantel test was applied to assess potential correlations between the two microbial communities. Our results revealed no significant correlation between the composition of the OSM and GM, neither in structure nor in diversity. This study suggests that the two niches are shaped independently, likely due to their distinct environmental conditions and microbial densities. These findings highlight the uniqueness of each microbiome and underscore the need for niche specific approaches when investigating host microbiome interactions. ClinicalTrials.gov, TRN: NCT02438111, Registration date: 28 April 2015, and TRN: NCT 04658238, Registration date: 01 December 2020.

Authors

Institutions

Publication Details

Journal
BMC Microbiology
Published
2026-03-05
DOI
https://doi.org/10.1186/s12866-026-04878-z
Primary Topic
Ocular Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncovering the relationship between the human ocular surface microbiome and gut microbiome

Martin Sebastian Zinkernagel, Marco Kreuzer, Denise C. Zysset‐Burri, Livia A. Spörri et al.
BMC Microbiology
Ocular Infections and Treatments
article

Uncovering the relationship between the human ocular surface microbiome and gut microbiome

Martin Sebastian Zinkernagel, Marco Kreuzer, Denise C. Zysset‐Burri, Livia A. Spörri, Nina Eldridge, Gianna Haldimann
article en

Abstract

The human body harbors diverse microbial communities that play essential roles in health and disease. While the gut microbiome (GM) has been extensively studied and linked to numerous systemic conditions, the ocular surface microbiome (OSM) remains less well understood due to its low microbial biomass and technical challenges in sequencing. Previous work has suggested possible connections between gut dysbiosis and ocular disease, but whether the OSM and GM are directly related remains unclear. This study investigated the relationship between the ocular surface microbiome (OSM) and the gut microbiome (GM) by analysing matched samples from both niches in the same individuals. Using high-throughput sequencing, we characterised microbial composition and diversity at each niche, followed by statistical analysis to show common taxa. A Mantel test was applied to assess potential correlations between the two microbial communities. Our results revealed no significant correlation between the composition of the OSM and GM, neither in structure nor in diversity. This study suggests that the two niches are shaped independently, likely due to their distinct environmental conditions and microbial densities. These findings highlight the uniqueness of each microbiome and underscore the need for niche specific approaches when investigating host microbiome interactions. ClinicalTrials.gov, TRN: NCT02438111, Registration date: 28 April 2015, and TRN: NCT 04658238, Registration date: 01 December 2020.

BMC Microbiology
University of Bern (CH), SIB Swiss Institute of Bioinformatics (CH), Bern University of Applied Sciences (CH), University Hospital of Bern (CH)
Zero hunger
Openalex Percentile: Top 34%
Ocular Infections and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.