IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 11, No 4: December 2022

Correlation between nicotine dependence and inflammatory biomarkers in Thai smokers: eight weeks of synbiotic intervention

Ekasit Lalitsuradej (Mae Fah Luang University)
Parama Pratummas (Mae Fah Luang University)
Phakkharawat Sittiprapaporn (Mae Fah Luang University)
Chaiyavat Chaiyasut (Chiang Mai University)



Article Info

Publish Date
01 Dec 2022

Abstract

Cigarette smoke contains thousands of man-made substances, and many may contribute to addiction and inflammation. This study examined the effect of synbiotics on the Fagerstrom test for nicotine dependence (FTND) and inflammatory markers in Thai smokers. 14 smokers with a Nicotine Dependence Fagerstrom Test scores of 4 or higher and no pregnancy or lactation history participated in this study. We gave them surveys about the FTND and continued blood tests for Lipopolysaccharide (LPS), lactulose and mannitol ratios (LMR), Quinolinic acid (QA), and 5-hydroindoleacetic acid (5-HIAA) to record inflammatory marker levels and leaky gut information. Pearson's R-values for LPS and LMR were 0.444 and -0.465. FTND showed a positive correlation with LPS and a negative correlation with leaky gut, but both relationships were weak due to no correlation for LPS but leaky gut. The R2 of the LPS correlation coefficient was 0.197, p = 0.112, and the R2 of the leaky gut correlation was 0.217, p 0.001. FTND, LMR, and QA were significantly reduced, while 5-HIAA was elevated. Further investigation is needed to determine the association between smoking and inflammation. In conclusion, synbiotics improved FTND, gut permeability, and inflammation. 

Copyrights © 2022






Journal Info

Abbrev

IJAI

Publisher

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...