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Persistence of Innate Immune Pathways in Late Stage Human Bacterial and Fungal Keratitis: Results from a Comparative Transcriptome Analysis

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, May 2017
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Title
Persistence of Innate Immune Pathways in Late Stage Human Bacterial and Fungal Keratitis: Results from a Comparative Transcriptome Analysis
Published in
Frontiers in Cellular and Infection Microbiology, May 2017
DOI 10.3389/fcimb.2017.00193
Pubmed ID
Authors

Jaya D. Chidambaram, Shichina Kannambath, Palepu Srikanthi, Manisha Shah, Prajna Lalitha, Shanmugam Elakkiya, Julien Bauer, Namperumalsamy V. Prajna, Martin J. Holland, Matthew J. Burton

Abstract

Microbial keratitis (MK) is a major cause of blindness worldwide. Despite adequate antimicrobial treatment, tissue damage can ensue. We compared the human corneal transcriptional profile in late stage MK to normal corneal tissue to identify pathways involved in pathogenesis. Total RNA from MK tissue and normal cadaver corneas was used to determine transcriptome profiles with Illumina HumanHT-12 v4 beadchips. We performed differential expression and network analysis of genes in bacterial keratitis (BK) and fungal keratitis (FK) compared with control (C) samples. Results were validated by RTqPCR for 45 genes in an independent series of 183 MK patients. For the microarray transcriptome analysis, 27 samples were used: 12 controls, 7 BK culture positive for Streptococcus pneumoniae (n = 6), Pseudomonas aeruginosa (n = 1), and 8 FK, culture positive for Fusarium sp. (n = 5), Aspergillus sp. (n = 2), or Lasiodiplodia sp. (n = 1). There were 185 unique differentially expressed genes in BK, 50 in FK, and 339 common to both [i.e., genes with fold-change (FC) < -4 or ≥4 and false discovery rate (FDR) adjusted P < 0.05]. MMP9 had the highest FC in BK (91 FC, adj p = 3.64 E-12) and FK (FC 64, adj. p = 6.10 E-11), along with other MMPs (MMP1, MMP7, MMP10, MMP12), pro-inflammatory cytokines (IL1B, TNF), and PRRs (TLR2, TLR4). HIF1A and its induced genes were upregulated uniquely in BK. Immune/defense response and extracellular matrix terms were the most enriched Gene Ontology terms in both BK and FK. In the network analysis, chemokines were prominent for FK, and actin filament reorganization for BK. Microarray and RTqPCR results were highly correlated for the same samples tested with both assays, and with the larger RTqPCR series. In conclusion, we found a great deal of overlap in the gene expression profile of late stage BK and FK, however genes unique to fungal infection highlighted a corneal epithelial wound healing response and for bacterial infection the prominence of HIF1A-induced genes. These sets of genes may provide new targets for future research into therapeutic agents.

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Mendeley readers

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Researcher 6 17%
Student > Ph. D. Student 6 17%
Other 4 11%
Student > Bachelor 4 11%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 10 28%
Immunology and Microbiology 8 22%
Biochemistry, Genetics and Molecular Biology 3 8%
Agricultural and Biological Sciences 3 8%
Philosophy 1 3%
Other 2 6%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2018.
All research outputs
#14,936,169
of 22,973,051 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#3,246
of 6,471 outputs
Outputs of similar age
#186,609
of 313,772 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#111
of 188 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,471 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.