16S rRNA sequencing in chronic dacryocystitis.

16S rRNA sequencing chronic dacryocystitis microflora

Journal

Clinical & experimental optometry
ISSN: 1444-0938
Titre abrégé: Clin Exp Optom
Pays: United States
ID NLM: 8703442

Informations de publication

Date de publication:
29 May 2024
Historique:
medline: 30 5 2024
pubmed: 30 5 2024
entrez: 29 5 2024
Statut: aheadofprint

Résumé

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 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.

Sections du résumé

CLINICAL RELEVANCE UNASSIGNED
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.
BACKGROUND UNASSIGNED
16S rRNA sequencing is a sequence-based bacterial analysis. The application of 16S rRNA sequencing in CDC is rarely reported.
METHODS UNASSIGNED
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.
RESULTS UNASSIGNED
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
CONCLUSION UNASSIGNED
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.

Identifiants

pubmed: 38811366
doi: 10.1080/08164622.2024.2358246
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-10

Auteurs

Yongxin Zhang (Y)

Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, China.

Beian Liu (B)

The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.

Meina Yang (M)

Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, China.

Shixu Li (S)

Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, China.

Yunhao Qu (Y)

The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.

Yingge Ma (Y)

The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.

Lin Ye (L)

Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, China.

Jun Mei (J)

Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, China.

Classifications MeSH