Master's Thesis | Universities of Fribourg and Bern | August 2025
By Oriane Solange Kopp
Under supervision of Dr. phil. Denise Corinne Zysset-Burri, PhD
This study investigates how contact lens wear and pollen allergies impact the ocular surface microbiome (OSM) and tear proteome using whole-metagenome shotgun sequencing (WMSS) and nano liquid chromatography tandem mass spectrometry (nLC-MS/MS).
- Contact Lenses: No significant differences in microbial composition or tear proteome between contact lens wearers and controls, though sex-specific responses and duration effects were observed
- Pollen Allergies: Significant association with Moraxella osloensis, representing a potential novel therapeutic target
- Methodology: Developed and validated decontamination methods for low-biomass microbiome studies
- Microbiome Analysis: Characterize OSM in contact lens wearers and pollen allergy sufferers vs. controls
- Proteome Profiling: Analyze tear proteome differences between study populations
- Clinical Assessment: Evaluate dry eye disease (DED) parameters and their relationship with OSM
- Methodological Innovation: Implement decontamination methods for OSM contamination challenges
- Contact Lens Study: 25 wearers vs. 23 age-/sex-matched controls
- Pollen Allergy Study: 18 allergy sufferers vs. 21 age-/sex-matched controls
- Sequencing: Illumina NovaSeq 6000, 150bp paired-end reads
- Analysis Pipeline: MetaPhlAn4 for taxonomy, HUMAnN3 for function
- Proteomics: nLC-MS/MS with FragPipe/MSFragger processing
- Statistics: MaAsLin2, PERMANOVA, machine learning (Random Forest, SVM)
- No significant overall differences in OSM composition or diversity
- Sex-stratified analysis revealed marginal differences in male participants
- Duration of wear showed significant association with OSM composition
- Increased subjective dry eye symptoms (OSDI©) in female contact lens wearers but otherwise no significant differences

- No differences in tear proteome composition

- Machine Learning models were not able to distinguish contact lens wearers from controls

- Significant differences in OSM beta diversity (p = 0.007)
- Moraxella osloensis significantly more abundant in pollen allergy sufferers (q = 0.025)

- No differences in tear proteome composition

- Novel decontamination approach: decontam + PubMed method
- Comparison of multiple contamination removal strategies
Raw Data (from MetaPhlan4) → Decontam Analysis → Contextual Filtering (PubMed) → Clean Dataset
This method work by taking the list of species flagged as potential contaminant by decontam (based on the prevalence method) and perform a litteratur search to remove species from the contaminant list if those species are cited in at least 5 papers talking about the ocular surface.
- Sequencing: UMI-tools, fastp, Bowtie2, SAMtools
- Microbiome: MetaPhlAn4, HUMAnN3, MaAsLin2, decontam
- Proteomics: FragPipe, MSFragger, IonQuant, DAVID bioinformatics
- Statistics: R (vegan, ggplot2, randomForest, e1071)
├── scripts/
│ ├── 1_decontamination_functions.R
│ ├── 2_analysis_functions.R
│ ├── 3_DED_score_functions.R
│ └── 4_protein_analysis.R
├── results/
│ └── ...
Those scripts are jsut snipnets of the scripts created during this project. Don't hesitate to contact me if you want to learn more.
- Well-adapted contact lens wearers may not show significant microbiome disruption
- Sex-specific responses warrant further investigation
- Duration effects suggest long-term monitoring may be beneficial
- M. osloensis as potential therapeutic target
- Microbiome-based approaches for allergy treatment
- Novel diagnostic biomarker possibilities
- Small sample sizes for subgroup analyses
- Low microbial biomass challenges
- Larger longitudinal cohorts
- Investigation of M. osloensis therapeutic targeting
- Contact lens material and hygiene practice effects
- Seasonal variation in pollen allergy microbiome
Publication currently under review
Special thanks to Dr. Denise C. Zysset-Burri for supervision, and the early project team including Sophia C. Morandi, Marco Kreuzer, and Anne-Christine Uldry.



