The Influence of Age and Sex on Ocular Surface Microbiota in Healthy Adults

From BugSigDB
Reviewed Marked as Reviewed by Peace Sandy on 2024-1-26
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Wen X, Miao L, Deng Y, Bible PW, Hu X, Zou Y, Liu Y, Guo S, Liang J, Chen T, Peng GH, Chen W, Liang L, Wei L
Journal
Investigative ophthalmology & visual science
Year
2017
PURPOSE: A growing body of evidence suggests that the microbiome of the ocular surface confers potent immunoregulatory functions and has a key role in the physiologic maintenance of healthy eyes and in the pathogenesis of ocular diseases. Although the microbiome is known to be affected by age and sex, the influence of these factors on ocular surface microbiota in healthy adults remains largely unknown. METHODS: Ocular surface microbiome samples were obtained from the inferior bulbar conjunctiva of 48 young and 42 old adults at Zhongshan Ophthalmic Center. Using metagenomic shotgun sequencing, we characterized the sex- and age-differences in conjunctival microbiome profiles of healthy adults. RESULTS: Male and female groups differed only in the β diversity of bacterial communities, while there were significant differences in bacterial composition, metabolic functions, and the abundance of antibiotic resistance genes between young and old adult groups. CONCLUSIONS: Our findings suggest that age and sex collectively shape the conjunctival microbiome, and may change the immune homeostasis of the ocular surface through alterations of its commensal microbiome.

Experiment 1


Reviewed Marked as Reviewed by Peace Sandy on 2024-1-26

Curated date: 2023/09/10

Curator: Mary Bearkland

Revision editor(s): Mary Bearkland, Peace Sandy

Subjects

Location of subjects
China
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
Bulbar conjunctiva Ocular conjunctiva,Bulbar conjunctiva,bulbar conjunctiva
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Age at assessment Age at assessment,age at assessment
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Young
Group 1 name Corresponds to the case (exposed) group for case-control studies
Old
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Aged 47-84 years old
Group 0 sample size Number of subjects in the control (unexposed) group
48
Group 1 sample size Number of subjects in the case (exposed) group
42
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
No history of antibiotics in the past 6 months

Lab analysis

Sequencing type
WMS
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified
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).
relative abundances
Statistical test
LEfSe
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)?
No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
3

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by Peace Sandy on 2024-1-26

Curated date: 2023/09/10

Curator: Mary Bearkland

Revision editor(s): Mary Bearkland, Peace Sandy

Source: Figure 6

Description: FIGURE 6. The bacterial species with significant differences in relative abundance between old and young groups. The LefSe program is used to find the bacterial species that specifically distinguish the old (green) from young (red) conjunctival microbiomes (LDA score > 3).

Abundance in Group 1: increased abundance in Old

NCBI Quality ControlLinks
Anaerococcus prevotii
Corynebacterium aurimucosum
Corynebacterium jeikeium
Corynebacterium resistens
Corynebacterium urealyticum
Cutibacterium avidum
Deinococcus radiodurans
Escherichia coli
Finegoldia magna
Leptotrichia buccalis
Micrococcus luteus
Neisseria gonorrhoeae
Neisseria lactamica
Prevotella melaninogenica
Rothia dentocariosa
Rothia mucilaginosa
Rubrivivax gelatinosus
Staphylococcus haemolyticus
Staphylococcus lugdunensis
Staphylococcus warneri
Streptococcus gordonii
Streptococcus oralis
Streptococcus parasanguinis
Streptococcus pneumoniae
Streptococcus pseudopneumoniae
Streptococcus sanguinis
Streptococcus sp.
Wolbachia pipientis wVitA
Wolbachia sp.

Revision editor(s): Mary Bearkland, Peace Sandy

Signature 2

Reviewed Marked as Reviewed by Peace Sandy on 2024-1-26

Curated date: 2023/09/10

Curator: Mary Bearkland

Revision editor(s): Mary Bearkland

Source: Figure 6

Description: FIGURE 6. The bacterial species with significant differences in relative abundance between old and young groups. The LefSe program is used to find the bacterial species that specifically distinguish the old (green) from young (red) conjunctival microbiomes (LDA score > 3).

Abundance in Group 1: decreased abundance in Old

NCBI Quality ControlLinks
Mycoplasmopsis pulmonis
Lactobacillus crispatus
Chlorobium phaeobacteroides
Listeria monocytogenes
Enterococcus faecalis
Brachyspira murdochii
Candidatus Karelsulcia
Mycoplasmopsis bovis
Pseudomonas aeruginosa
Brucella anthropi
Mesomycoplasma hyorhinis
Cutibacterium acnes

Revision editor(s): Mary Bearkland

Experiment 2


Reviewed Marked as Reviewed by Peace Sandy on 2024-1-26

Curated date: 2023/09/24

Curator: Mary Bearkland

Revision editor(s): Mary Bearkland, Peace Sandy

Differences from previous experiment shown

Subjects

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Biological sex Biological sex,biological sex
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Male
Group 1 name Corresponds to the case (exposed) group for case-control studies
Female
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Biological sex=female
Group 0 sample size Number of subjects in the control (unexposed) group
42
Group 1 sample size Number of subjects in the case (exposed) group
48

Lab analysis

Statistical Analysis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by Peace Sandy on 2024-1-26

Curated date: 2023/09/24

Curator: Mary Bearkland

Revision editor(s): Mary Bearkland, Peace Sandy

Source: Figure 4a

Description: FIGURE 4. Sex-differences in conjunctival microbiome of healthy adults. Male and female groups,... while no significant difference is observed in Shannon diversity index (A). (Note- no taxon were found to be decreased in females compared to males)

Abundance in Group 1: increased abundance in Female

NCBI Quality ControlLinks
Escherichia coli
Micrococcus luteus
[Acidovorax] ebreus
Staphylococcus haemolyticus
Acinetobacter baumannii

Revision editor(s): Mary Bearkland, Peace Sandy

Signature 2

Reviewed Marked as Reviewed by Peace Sandy on 2024-1-26

Curated date: 2023/09/24

Curator: Mary Bearkland

Revision editor(s): Mary Bearkland, Peace Sandy

Source: Figure 4a

Description: FIGURE 4. Sex-differences in conjunctival microbiome of healthy adults. Male and female groups,... while no significant difference is observed in Shannon diversity index (A). (Note- no taxon were found to be increased in females compared to males)

Abundance in Group 1: decreased abundance in Female

NCBI Quality ControlLinks
Cutibacterium acnes
Staphylococcus epidermidis

Revision editor(s): Mary Bearkland, Peace Sandy