Tear film microbiome in Sjogren’s and non-Sjogren’s aqueous deficiency dry eye

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dc.contributor.authorPal, Spanditaen_US
dc.contributor.authorVani, Goratien_US
dc.contributor.authorDonthineni, Pragnya Raoen_US
dc.contributor.authorBasu, Sayanen_US
dc.contributor.authorArunasri, Kotakondaen_US
dc.date.accessioned2023-08-25T06:36:44Z
dc.date.available2023-08-25T06:36:44Z
dc.date.issued2023-04
dc.description.abstractPurpose: To understand the bacterial microbiome changes associated with Sjogren’s syndrome (SS) and non?Sjogren’s syndrome (NSS) aqueous?deficient dry eyes compared to healthy eyes. Methods: Bacterial microbiome was generated from the deoxyribonucleic acid of tear film samples in healthy (n = 33), SS (n = 17), and NSS (n = 28) individuals. Sequencing of the V3?V4 region of the 16S rRNA gene was performed on the Illumina HiSeq2500 platform. Quantitative Insights Into Microbial Ecology (QIIME) pipeline was used to assign taxa to sequences. Statistical analysis was performed in R to assess the alpha diversity and beta diversity indices. Significant changes between the healthy, SS, and NSS cohorts were depicted by principal coordinate analysis (PCoA), differential abundance, and network analysis. Results: Tear microbiome was generated in healthy, SS, and NSS samples. Phyla Actinobacteria, Firmicutes, and Bacteroidetes showed significant changes in SS and NSS compared to healthy. Genera Lactobacillus and Bacillus were predominantly present in all samples. PCoA and heat map analysis showed distinct clusters for SS and NSS from the healthy cohort. Genera Prevotella, Coriobacteriaceae UCG?003, Enterococcus, Streptomyces, Rhodobacter, Ezakiella, and Microbacterium significantly increased in abundance in SS and NSS compared to a healthy cohort. Bacteria–bacteria interaction in SS, NSS, and healthy cohorts was predicted by CoNet network analysis. This analysis predicted a major hub of interaction for the pro?inflammatory bacterium Prevotella in the SS and NSS cohorts. Conclusion: The results of the study indicate significant changes in the phyla and genera in SS and NSS compared to healthy. Both discriminative analysis and network analysis indicated a possible association of predominant pro?inflammatory bacteria with SS and NSS.en_US
dc.identifier.affiliationsBrien Holden Eye Research Centre, L V Prasad Eye Institute, Hyderabad, Telangana, Indiaen_US
dc.identifier.affiliationsShantilal Shanghvi Cornea Institute, L V Prasad Eye Institute, Hyderabad, Telangana, Indiaen_US
dc.identifier.citationPal Spandita, Vani Gorati, Donthineni Pragnya Rao, Basu Sayan, Arunasri Kotakonda. Tear film microbiome in Sjogren’s and non-Sjogren’s aqueous deficiency dry eye. Indian Journal of Ophthalmology. 2023 Apr; 71(4): 1566-1573en_US
dc.identifier.issn1998-3689
dc.identifier.issn0301-4738
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/224969
dc.languageenen_US
dc.publisherAll India Ophthalmological Societyen_US
dc.relation.issuenumber4en_US
dc.relation.volume71en_US
dc.source.urihttps://doi.org/10.4103/IJO.IJO_2821_22en_US
dc.subjectDry eye diseaseen_US
dc.subjectnon?Sjogren’s syndromeen_US
dc.subjectPrevotellaen_US
dc.subjectSjogren’s syndromeen_US
dc.subjecttear film microbiomeen_US
dc.titleTear film microbiome in Sjogren’s and non-Sjogren’s aqueous deficiency dry eyeen_US
dc.typeJournal Articleen_US
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