Antimicrobial drug use in the first decade of life influences saliva microbiota diversity and composition

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Raju , S C , Viljakainen , H , Figueiredo , R A O , Neuvonen , P J , Eriksson , J G , Weiderpass , E & Rounge , T B 2020 , ' Antimicrobial drug use in the first decade of life influences saliva microbiota diversity and composition ' , Microbiome , vol. 8 , no. 1 , 121 .

Title: Antimicrobial drug use in the first decade of life influences saliva microbiota diversity and composition
Author: Raju, Sajan C.; Viljakainen, Heli; Figueiredo, Rejane A. O.; Neuvonen, Pertti J.; Eriksson, Johan G.; Weiderpass, Elisabete; Rounge, Trine B.
Other contributor: University of Helsinki, Faculty of Medicine
University of Helsinki, Department of Food and Nutrition
University of Helsinki, Medicum
University of Helsinki, Department of Clinical Pharmacology
University of Helsinki, Clinicum
University of Helsinki, World Health Organization
University of Helsinki, Medicum

Date: 2020-08-21
Language: eng
Number of pages: 13
Belongs to series: Microbiome
ISSN: 2049-2618
Abstract: Background: The human microbiota contributes to health and well-being. Antimicrobials (AM) have an immediate effect on microbial diversity and composition in the gut, but next to nothing is known about their long-term contribution to saliva microbiota. Our objectives were to investigate the long-term impact of AM use on saliva microbiota diversity and composition in preadolescents. We compared the lifetime effects by gender and AMs. We used data from 808 randomly selected children in the Finnish Health In Teens (Fin-HIT) cohort with register-based data on AM purchases from the Social Insurance Institution of Finland. Saliva microbiota was assessed with 16S rRNA (V3-V4) sequencing. The sequences were aligned to the SILVA ribosomal RNA database and classified and counted using the mothur pipeline. Associations between AM use and alpha-diversity (Shannon index) were identified with linear regression, while associations between beta-diversity (Bray-Curtis dissimilarity) and low, medium or high AM use were identified with PERMANOVA. Results: Of the children, 53.6% were girls and their mean age was 11.7 (0.4) years. On average, the children had 7.4 (ranging from 0 to 41) AM prescriptions during their lifespan. The four most commonly used AMs were amoxicillin (n= 2622, 43.7%), azithromycin (n= 1495, 24.9%), amoxicillin-clavulanate (n= 1123, 18.7%) and phenoxymethylpenicillin (n= 408, 6.8%). A linear inverse association was observed between the use of azithromycin and Shannon index (b- 0.015,pvalue = 0.002) in all children, the effect was driven by girls (b- 0.032,pvalue = 0.001), while not present in boys. Dissimilarities were marked between high, medium and low users of all AMs combined, in azithromycin users specifically, and in boys with amoxicillin use. Amoxicillin and amoxicillin-clavulanate use was associated with the largest decrease in abundance ofRikenellaceae. AM use in general and phenoxymethylpenicillin specifically were associated with a decrease ofPaludibacterand pathways related to amino acid degradations differed in proportion between high and low AM users. Conclusions: A systematic approach utilising reliable registry data on lifetime use of AMs demonstrated long-term effects on saliva microbiota diversity and composition. These effects are gender- and AM-dependent. We found that frequent lifelong use of AMs shifts bacterial profiles years later, which might have unforeseen health impacts in the future. Our findings emphasise a concern for high azithromycin use, which substantially decreases bacterial diversity and affects composition as well. Further studies are needed to determine the clinical implications of our findings.
Subject: 3111 Biomedicine
Lifelong antimicrobial use
Saliva microbiota
Gender difference

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