biostudies-literatureDuan SNational Natural Science Foundation of ChinaSichuan Provincial Science and Technology Support Program438https://www.ebi.ac.uk/biostudies/studies/S-EPMC11514746biostudies-literatureUnknown24(1)<h4>Background</h4>Silicosis has always been a serious global occupational health problem. Oral microbiota plays important roles in the development of lung disease. However, few studies have investigated the relationship between periodontal conditions, oral bacteria and silicosis disease.<h4>Method</h4>A single-center and cross-sectional study was conducted in 2019 in Sichuan Province, China, including a small sample of silicosis patient group and healthy control group. Demographic data and periodontal examinations measured by clinical attachment loss (CAL), bleeding on probing (BOP) and periodontal pocket (PD) were collected from each participant. Phenotypic changes were detected by histopathological staining. Next-generation sequencing targeting 16S ribosomal RNA was targeted to decipherBMC microbiologyPeriodontal conditions and salivary microbiota are potential indicators to distinguish silicosis: an exploratory study.PMC115147462023NSFSC05572024NSFSC055082270972Luo NLei LHu TZhong TZhu FDuan SShao MZhang CZhao JfalsePeriodontal conditions and salivary microbiota are potential indicators to distinguish silicosis: an exploratory study.<h4>Background</h4>Silicosis has always been a serious global occupational health problem. Oral microbiota plays important roles in the development of lung disease. However, few studies have investigated the relationship between periodontal conditions, oral bacteria and silicosis disease.<h4>Method</h4>A single-center and cross-sectional study was conducted in 2019 in Sichuan Province, China, including a small sample of silicosis patient group and healthy control group. Demographic data and periodontal examinations measured by clinical attachment loss (CAL), bleeding on probing (BOP) and periodontal pocket (PD) were collected from each participant. Phenotypic changes were detected by histopathological staining. Next-generation sequencing targeting 16S ribosomal RNA was targeted to decipher2024-01-01T00:00:00Z2024 Oct2026-07-07T03:14:50.194Z2026-07-07T03:10:31.073ZS-EPMC115147463946542610.1186/s12866-024-03594-w