Gafen Hannah B, Liu Chin-Chi, Ineck Nikole E, Scully Clare M, Mironovich Melanie A, Guarneri Lauren, Taylor Christopher M, Luo Meng, Leis Marina L, Scott Erin M, Carter Renee T, Lewin Andrew C
Department of Veterinary Clinical Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
Department of Pathobiological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
Animals (Basel). 2023 Jun 13;13(12):1976. doi: 10.3390/ani13121976.
The ocular surface microbiome is altered in certain disease states. The aim of this study was to characterize the bovine bacterial ocular surface microbiome (BBOSM) in the context of ocular squamous cell carcinoma (OSCC). The conjunctiva of normal ( = 28) and OSCC ( = 10) eyes of cows aged 2 to 13 years from two farms in Louisiana and Wyoming were sampled using individual sterile swabs. DNA extraction followed by 16S ribosomal ribonucleic acid (rRNA) gene sequencing and real-time polymerase chain reaction (RT-PCR) were performed to, respectively, assess the relative and absolute BBOSM. Discriminant analysis (DA) was performed using RT-PCR data, and relative abundance analysis was performed using 16S rRNA gene sequencing data. The 11 most abundant phyla in both normal and OSCC-affected cows were identified using 16S rRNA gene sequencing analysis. The relative abundance of Euryarchaeota was found to be significantly lower ( = 0.0372) in OSCC eyes compared to normal eyes. Relative abundance differences within and between geographic locations were also identified. Quadratic DA categorized samples as OSCC or normal with 100% sensitivity and 83.3-100% specificity. Relative abundance analysis identified relative BBOSM phylum alterations in OSCC. Quadratic DA can be used to accurately categorize BBOSM from normal and OSCC ocular surface samples.
在某些疾病状态下，眼表微生物群会发生改变。本研究的目的是在眼鳞状细胞癌（OSCC）的背景下，对牛的细菌性眼表微生物群（BBOSM）进行特征描述。使用单独的无菌拭子对来自路易斯安那州和怀俄明州两个农场的2至13岁奶牛的正常眼（n = 28）和OSCC眼（n = 10）的结膜进行采样。随后进行DNA提取，接着进行16S核糖体核糖核酸（rRNA）基因测序和实时聚合酶链反应（RT-PCR），分别用于评估BBOSM的相对丰度和绝对丰度。使用RT-PCR数据进行判别分析（DA），并使用16S rRNA基因测序数据进行相对丰度分析。通过16S rRNA基因测序分析确定了正常和受OSCC影响的奶牛中最丰富的11个门。发现与正常眼相比，OSCC眼中广古菌门的相对丰度显著降低（P = 0.0372）。还确定了地理位置内部和之间的相对丰度差异。二次判别分析将样本分类为OSCC或正常，灵敏度为100%，特异性为83.3 - 100%。相对丰度分析确定了OSCC中BBOSM门的相对变化。二次判别分析可用于准确区分正常和OSCC眼表样本中的BBOSM。
