June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Relationship between the bacterial ocular microbiome and ocular squamous cell carcinoma in a spontaneous animal model of disease
Author Affiliations & Notes
  • Hannah Gafen
    Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Chin-Chi Liu
    Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Nikole Ineck
    Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Clare M. Scully
    Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Melanie A Mironovich
    Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Lauren Guarneri
    Pathobiological Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Christopher M. Taylor
    Microbiology, Immunology, and Parasitology, Louisiana State University School of Medicine-New Orleans, New Orleans, Louisiana, United States
  • Meng Luo
    Microbiology, Immunology, and Parasitology, Louisiana State University School of Medicine-New Orleans, New Orleans, Louisiana, United States
  • Marina Leis
    Small Animal Clinical Sciences, University of Saskatchewan Western College of Veterinary Medicine, Saskatoon, Saskatchewan, Canada
  • Erin Scott
    Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca, New York, United States
  • Renee Carter
    Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Andrew Lewin
    Veterinary Clinical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, United States
  • Footnotes
    Commercial Relationships   Hannah Gafen None; Chin-Chi Liu None; Nikole Ineck None; Clare Scully None; Melanie Mironovich None; Lauren Guarneri None; Christopher Taylor None; Meng Luo None; Marina Leis None; Erin Scott None; Renee Carter None; Andrew Lewin None
  • Footnotes
    Support  This work is supported by USDA AFRI GRANT12897461 from the USDA National Institute of Food and Agriculture and funding from an LSU VCS CORP grant. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s)
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3584. doi:
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    • Get Citation

      Hannah Gafen, Chin-Chi Liu, Nikole Ineck, Clare M. Scully, Melanie A Mironovich, Lauren Guarneri, Christopher M. Taylor, Meng Luo, Marina Leis, Erin Scott, Renee Carter, Andrew Lewin; Relationship between the bacterial ocular microbiome and ocular squamous cell carcinoma in a spontaneous animal model of disease. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3584.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : The ocular surface is a low biomass environment with a bacterial microbiome that varies in the context of disease in both humans and animals. This study sought to characterize the bovine bacterial ocular surface microbiome (BBOSM) in eyes with and without ocular squamous cell carcinoma (OSCC), a common spontaneously occurring bovine ocular surface neoplasia. We hypothesized that there would be a significant difference in the BBOSM of eyes with and without OSCC.

Methods : Eyes diagnosed by a veterinarian as normal (n=28) and OSCC (n=10) of adult female cattle aged 2 to 13 years from two farms in Louisiana and Wyoming were sampled via swab of the inferior conjunctival fornix. DNA extraction, followed by real-time polymerase chain reaction (RT-PCR) with a unique panel of 9 primer pairs and 16s ribosomal ribonucleic acid (rRNA) sequencing were performed to assess absolute and relative abundance of the bacterial microbiome population. Statistical analysis was performed using JMP Pro 16.2.0 software. Variables including eye sampled, sampling location, age, and OSCC status were evaluated with Mann-Whitney or Kruskal-Wallis tests. Quadratic discriminant analyses (QDA) were used to categorize RT-PCR data by disease status, while linear discriminant analyses (LDA) were used to categorize data by geographic location.

Results : Significant differences in relative abundance of individual bacterial phyla were identified between disease states and geographic locations. Significance in alpha diversity and overall beta diversity were noted with respect to geographic location. QDA used to separate OSCC status showed high sensitivity (100%) and specificity (83.3-100%) for two training sets and validation sets. Primer sets specific for Pasteurellacaea and Mycoplasma were most highly associated with the canonical variable in QDA (disease status) and LDA (geographic location) analyses, respectively.

Conclusions : In this study, discriminant analyses based on a unique RT-PCR panel allowed classification based on disease status and geographic location. Relatively few differences in bacterial relative abundance were identified with 16s rRNA sequencing. These results demonstrate the translational potential of these non-invasive techniques, which could be utilized to study human ocular surface neoplasia.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

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