{Reference Type}: Journal Article
{Title}: Correlation between short-chain fatty acids and peri-implant disease: A cross-sectional study.
{Author}: Liu Y;Yang H;Wang P;Shi Y;Shi R;Zhang S;Zhao Y;Lan J;Ge S;
{Journal}: J Periodontol
{Volume}: 0
{Issue}: 0
{Year}: 2024 Jun 20
{Factor}: 4.494
{DOI}: 10.1002/JPER.23-0682
{Abstract}: BACKGROUND: To explore the correlation between short-chain fatty acids (SCFAs) in the peri-implant sulcular fluid (PISF) and peri-implant diseases.
METHODS: PISF samples were obtained from implants that have been placed for at least 5 years, and peri-implant clinical parameters were examined. Gas chromatography-mass spectrometry and high-performance liquid chromatography were used to detect SCFAs in PISF. The correlation between SCFAs and clinical parameters was analyzed by Spearman's correlation. SCFAs related to peri-implant disease were identified by logistic regression and ranked by random forest analysis.
RESULTS: Eighty-six implants were divided into a peri-implant health group (PIH-group, 35 implants), peri-implant mucositis group (PIM-group, 25 implants), and peri-implantitis group (PI-group, 26 implants) according to clinical and radiographic examination results. The PIM-group had significantly lower formic acid detection rate than the other two groups (p < 0.001). The PIM-group had significantly higher levels of acetic, propionic, and isovaleric acids than the PIH-group (p < 0.05). The PI-group had significantly higher levels of propionic, butyric, isobutyric, valeric, and isovaleric acids than the PIH-group (p < 0.05). The PI-group had significantly higher levels of butyric, isobutyric, and isovaleric acids than the PIM-group (p < 0.05). SCFAs (apart from hexanoic and succinic acids) were significantly and positively correlated with clinical parameters (p < 0.05). SCFAs related to peri-implant disease were ranked as follows: butyric, isovaleric, isobutyric, propionic, acetic, formic, and lactic acids.
CONCLUSIONS: Elevated specific SCFAs are correlated with peri-implant disease. Recognition of this correlation may help in early identification of peri-implant disease and guide further clinical interventions.