Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Apr 17:14:1346821.
doi: 10.3389/fcimb.2024.1346821. eCollection 2024.

Ocular surface immune transcriptome and tear cytokines in corneal infection patients

Affiliations

Ocular surface immune transcriptome and tear cytokines in corneal infection patients

Heba Alenezi et al. Front Cell Infect Microbiol. .

Abstract

Background: Microbial keratitis is one of the leading causes of blindness globally. An overactive immune response during an infection can exacerbate damage, causing corneal opacities and vision loss. This study aimed to identify the differentially expressed genes between corneal infection patients and healthy volunteers within the cornea and conjunctiva and elucidate the contributing pathways to these conditions' pathogenesis. Moreover, it compared the corneal and conjunctival transcriptomes in corneal-infected patients to cytokine levels in tears.

Methods: Corneal and conjunctival swabs were collected from seven corneal infection patients and three healthy controls under topical anesthesia. RNA from seven corneal infection patients and three healthy volunteers were analyzed by RNA sequencing (RNA-Seq). Tear proteins were extracted from Schirmer strips via acetone precipitation from 38 cases of corneal infection and 14 healthy controls. The cytokines and chemokines IL-1β, IL-6, CXCL8 (IL-8), CX3CL1, IL-10, IL-12 (p70), IL-17A, and IL-23 were measured using an antibody bead assay.

Results: A total of 512 genes were found to be differentially expressed in infected corneas compared to healthy corneas, with 508 being upregulated and four downregulated (fold-change (FC) <-2 or > 2 and adjusted p <0.01). For the conjunctiva, 477 were upregulated, and 3 were downregulated (FC <-3 or ≥ 3 and adjusted p <0.01). There was a significant overlap in cornea and conjunctiva gene expression in patients with corneal infections. The genes were predominantly associated with immune response, regulation of angiogenesis, and apoptotic signaling pathways. The most highly upregulated gene was CXCL8 (which codes for IL-8 protein). In patients with corneal infections, the concentration of IL-8 protein in tears was relatively higher in patients compared to healthy controls but did not show statistical significance.

Conclusions: During corneal infection, many genes were upregulated, with most of them being associated with immune response, regulation of angiogenesis, and apoptotic signaling. The findings may facilitate the development of treatments for corneal infections that can dampen specific aspects of the immune response to reduce scarring and preserve sight.

Keywords: bacteria; conjunctiva; corneal infection; gene expression; keratitis; ocular surface; transcriptome.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Venn diagram of differentially expressed genes in the cornea and conjunctiva.
Figure 2
Figure 2
The top 10 gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of differentially expressed genes, ranked by their -log p values. (A) Common GO Enrichment analysis; (B) Common KEGG pathway enrichment analysis; (C) Cornea GO Enrichment analysis; (D) Cornea KEGG pathway enrichment analysis; (E) Conjunctiva GO Enrichment analysis; (F) Conjunctiva KEGG pathway enrichment analysis.
Figure 3
Figure 3
The Log scale scatter plot displays the median ± IQR of tear cytokine levels among individuals with severe and mild corneal infections and controls. Statistical significance between unpaired samples was assessed using a two-tailed Mann-Whitney non-parametric test. NS, not significant (corrected P >0.05).

Similar articles

Cited by

References

    1. Al-Mujaini A., Al-Kharusi N., Thakral A., Wali U. K. (2009). Bacterial keratitis: perspective on epidemiology, clinico-pathogenesis, diagnosis and treatment. Sultan Qaboos Univ Med. J. 9, 184–195. - PMC - PubMed
    1. Anagnostopoulou-Fotinopoulou I., Rammou-Kinia R. (1993). Cytobrush sampling in conjunctival cytology. Diagn. Cytopathol. 9, 113–115. doi: 10.1002/dc.2840090123 - DOI - PubMed
    1. Anders S., Huber W. (2010). Differential expression analysis for sequence count data. Genome Biol. 11, R106. doi: 10.1186/gb-2010-11-10-r106 - DOI - PMC - PubMed
    1. Atta S., Singh R. B., Samanthapudi K., Perera C., Omar M., Nayyar S., et al. . (2023). Clinical characterization and outcomes of culture- and polymerase chain reaction-negative cases of infectious keratitis. Diagnostics (Basel) 13 (15), 2528. doi: 10.3390/diagnostics13152528 - DOI - PMC - PubMed
    1. Barton G. M., Medzhitov R. (2003). Toll-like receptor signaling pathways. Science 300, 1524–1525. doi: 10.1126/science.1085536 - DOI - PubMed

Publication types