Alterations of ocular surface microbiome in glaucoma and its association with dry eye/Experiment 4

From BugSigDB


Reviewed Marked as Reviewed by KateRasheed on 2025-8-28

Curated date: 2025/08/26

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Subjects

Location of subjects
Tunisia
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Conjunctiva Conjunctiva,conjunctiva,Conjunctivae,Conjunctivas,Tunica conjunctiva,Wall of conjunctival sac
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Dry eye syndrome dry eye,Dry Eye Syndrome,dry eye syndrome,Dry Eye Syndromes,dry eye(s),eye(s), dry,KCS,Keraconjunctivitis sicca,Keratoconjunctivitis Sicca,Keratoconjunctivitis sicca,keratoconjunctivitis sicca,Keratoconjunctivitis sicca (disorder),sicca, keratoconjunctivitis,Tear film insufficiency,tear film insufficiency,Dry eye syndrome
Group 0 name Corresponds to the control (unexposed) group for case-control studies
G-only (Glaucomatous patients without dry eye syndrome)
Group 1 name Corresponds to the case (exposed) group for case-control studies
G-DED (Glaucomatous patients with dry eye syndrome)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Glaucomatous patients with dry eye syndrome
Group 0 sample size Number of subjects in the control (unexposed) group
24
Group 1 sample size Number of subjects in the case (exposed) group
30
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
1 month

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V1-V3
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
raw counts
Statistical test
DESeq2
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
unchanged

Signature 1

Reviewed Marked as Reviewed by KateRasheed on 2025-8-28

Curated date: 2025/08/26

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Source: Figure 2A, Supplementary table 2

Description: Most differentially abundant genera and phyla between groups, identified by DESeq2.

Abundance in Group 1: increased abundance in G-DED (Glaucomatous patients with dry eye syndrome)

NCBI Quality ControlLinks
Acinetobacter
Bacillota
Haemophilus
Kocuria
Micrococcus
Paracoccus
Pseudomonadota
Rhodobacter
Staphylococcus

Revision editor(s): Anne-mariesharp

Signature 2

Reviewed Marked as Reviewed by KateRasheed on 2025-8-28

Curated date: 2025/08/26

Curator: Anne-mariesharp

Revision editor(s): Anne-mariesharp

Source: Supplementary table 2

Description: Most differentially abundant genera between groups, identified by DESeq2.

Abundance in Group 1: decreased abundance in G-DED (Glaucomatous patients with dry eye syndrome)

NCBI Quality ControlLinks
Enterobacter
Proteus

Revision editor(s): Anne-mariesharp