Zhang Yongxin, Liu Beian, Yang Meina, Li Shixu, Qu Yunhao, Ma Yingge, Ye Lin, Mei Jun
Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, China.
The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.
Clin Exp Optom. 2025 May;108(4):456-465. doi: 10.1080/08164622.2024.2358246. Epub 2024 May 29.
The pathogenesis of chronic dacryocystitis (CDC) is associated with a variety of bacteria. Investigating microflora has the potential to provide a theoretical basis for preventing and treating CDC.
16S rRNA sequencing is a sequence-based bacterial analysis. The application of 16S rRNA sequencing in CDC is rarely reported.
A case-control study of infected and healthy eyes diagnosed as CDC patients was conducted. Seventy-eight patients were divided into A (conjunctival sac secretions from healthy eyes), B (conjunctival sac secretions from affected eyes), and C (lacrimal sac secretions from affected eyes) groups. The flora of samples was analysed with 16S rRNA sequencing, and the data was analysed using QIIME, R, LefSE and other software. The potential functions were analysed by PICRUSt.
A total of 1440 operational taxonomic units (OTUs) were obtained, 139 specific to group A, 220 specific to group B, and 239 specific to group C. There was no significant difference in α index between the three groups. The beta diversity and grouping analysis data indicated that the three groups of flora were similar in species richness and diversity, but there were some differences in composition. In group A, the abundance of . and . was higher; in group B, the abundance of . was higher; in group C, the abundance of . and . was higher. Six pathways were identified to assess the potential microbial functions.
Alterations in the microbiota of the conjunctiva and lacrimal sac are associated with the pathogenesis of CDC, which may provide certain guidance for antibiotic treatment of CDC.
慢性泪囊炎（CDC）的发病机制与多种细菌有关。研究微生物群落有可能为CDC的防治提供理论依据。
16S rRNA测序是一种基于序列的细菌分析方法。16S rRNA测序在CDC中的应用鲜有报道。
对诊断为CDC的感染眼和健康眼进行病例对照研究。78例患者分为A组（健康眼结膜囊分泌物）、B组（患眼结膜囊分泌物）和C组（患眼泪囊分泌物）。采用16S rRNA测序分析样本菌群，并使用QIIME、R、LefSE等软件进行数据分析。通过PICRUSt分析潜在功能。
共获得1440个可操作分类单元（OTU），其中A组特异性OTU有139个，B组有220个，C组有239个。三组间α指数无显著差异。β多样性和分组分析数据表明，三组菌群在物种丰富度和多样性方面相似，但在组成上存在一些差异。A组中……和……的丰度较高；B组中……的丰度较高；C组中……和……的丰度较高。确定了6条途径来评估潜在的微生物功能。
结膜和泪囊微生物群的改变与CDC的发病机制有关，这可能为CDC的抗生素治疗提供一定指导。
