2018
DOI: 10.1371/journal.pone.0199640
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Alterations in the gut bacterial microbiome in fungal Keratitis patients

Abstract: Dysbiosis in the gut microbiome has been implicated in several diseases including auto-immune diseases, inflammatory diseases, cancers and mental disorders. Keratitis is an inflammatory disease of the eye significantly contributing to corneal blindness in the developing world. It would be worthwhile to investigate the possibility of dysbiosis in the gut microbiome being associated with Keratitis. Here, we have analyzed fungal and bacterial populations in stool samples through high-throughput sequencing of the … Show more

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Cited by 68 publications
(63 citation statements)
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“…Similar decrease in diversity and abundance was observed in patients with other diseases such as in obese individuals and in patients with asthma, cirrhosis, and autism. 43 At the phylum level, Ascomycota and Basidiomycota were the most dominant in the gut microbiomes of HC and UVT patients, and this observation is in congruence with Bhute et al 15 and our own studies 19,30 on the gut fungal communities from an Indian population. Ascomycota and Basidiomycota were also dominant in healthy subjects and IBD patients.…”
Section: Discussionsupporting
confidence: 87%
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“…Similar decrease in diversity and abundance was observed in patients with other diseases such as in obese individuals and in patients with asthma, cirrhosis, and autism. 43 At the phylum level, Ascomycota and Basidiomycota were the most dominant in the gut microbiomes of HC and UVT patients, and this observation is in congruence with Bhute et al 15 and our own studies 19,30 on the gut fungal communities from an Indian population. Ascomycota and Basidiomycota were also dominant in healthy subjects and IBD patients.…”
Section: Discussionsupporting
confidence: 87%
“…For instance, using the same set of HC, we compared the bacterial and fungal microbiomes of individuals with bacterial and/or fungal keratitis or UVT with the microbiomes of HC matched for age, gender, ethnicity, and region of origin. 4,19,30 Such an approach is advantageous since by carefully designing the experiments the same set of control individuals could be recruited for the three different ocular diseases. In this paper, the demographic and the fungal microbiome data of 24 HC was derived from the 31 individuals analyzed by us earlier 30 and was also common to 21 HC, 19 which were published earlier.…”
Section: Resultsmentioning
confidence: 99%
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“…30 The removal of low-quality reads (mean Phred score, <25) and chimeric sequences, OTU picking using Quantitative Insights into Microbial Ecology (QIIME) software, and assignment of taxonomic lineages were performed as described previously. 31,32 Sparse OTUs containing <0.001% of the total number of high-quality reads sequenced were removed.…”
Section: Taxonomic Classification Of Sequenced Readsmentioning
confidence: 99%