Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan

There is accumulating evidence in the biomedical literature suggesting the role of smoking in increasing the risk of oral diseases including some oral cancers. Smoking alters microbial attributes of the oral cavity by decreasing the commensal microbial population and increasing the pathogenic microb...

Full description

Bibliographic Details
Main Authors: Walid Al-Zyoud, Rima Hajjo, Ahmed Abu-Siniyeh, Sarah Hajjaj
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/1/256
id doaj-a04eef65b534459abbe9b735b3ae1602
record_format Article
spelling doaj-a04eef65b534459abbe9b735b3ae16022020-11-25T01:54:14ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-12-0117125610.3390/ijerph17010256ijerph17010256Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in JordanWalid Al-Zyoud0Rima Hajjo1Ahmed Abu-Siniyeh2Sarah Hajjaj3Department of Biomedical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, JordanDepartment of Pharmaceutical Sciences, School of Pharmacy, Al-Zaytoonah University of Jordan, Amman 11733, JordanClinical Laboratory Sciences Department, College of Applied Medical Science, Taif University, Taif 11099, Saudi ArabiaDepartment of Biomedical Engineering, School of Applied Medical Sciences, German Jordanian University, Amman 11180, JordanThere is accumulating evidence in the biomedical literature suggesting the role of smoking in increasing the risk of oral diseases including some oral cancers. Smoking alters microbial attributes of the oral cavity by decreasing the commensal microbial population and increasing the pathogenic microbes. This study aims to investigate the shift in the salivary microbiota between smokers and non-smokers in Jordan. Our methods relied on high-throughput next-generation sequencing (NGS) experiments for V3-V4 hypervariable regions of the 16S rRNA gene, followed by comprehensive bioinformatics analysis including advanced multidimensional data visualization methods and statistical analysis approaches. Six genera&#8212;<i>Streptococcus</i>, <i>Prevotella</i>, <i>Vellionella</i>, <i>Rothia</i>, <i>Neisseria</i>, and <i>Haemophilus</i>&#8212;predominated the salivary microbiota of all samples with different percentages suggesting the possibility for the salivary microbiome to restored after quitting smoking. Three genera&#8212;<i>Streptococcus</i>, <i>Prevotella</i>, and <i>Veillonella</i>&#8212;showed significantly elevated levels among smokers at the expense of <i>Neisseria</i> in non-smokers. In conclusion, smoking has a definite impact on shifting the salivary microbiota in smokers. We can suggest that there is microbial signature at the genera level that can be used to classify smokers and non-smokers by Linear Discriminant Analysis Effect Size (LEfSe) based on the salivary abundance of genera. Proteomics and metabolomics studies are highly recommended to fully understand the effect of bacterial endotoxin release and xenobiotic metabolism on the bacterial interrelationships in the salivary microbiome and how they affect the growth of each other in the saliva of smokers.https://www.mdpi.com/1660-4601/17/1/256salivamicrobiomemicrobiotasmoking16s rrnanext-generation sequencingoperational taxonomic unit (otu)bioinformaticsjordan
collection DOAJ
language English
format Article
sources DOAJ
author Walid Al-Zyoud
Rima Hajjo
Ahmed Abu-Siniyeh
Sarah Hajjaj
spellingShingle Walid Al-Zyoud
Rima Hajjo
Ahmed Abu-Siniyeh
Sarah Hajjaj
Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan
International Journal of Environmental Research and Public Health
saliva
microbiome
microbiota
smoking
16s rrna
next-generation sequencing
operational taxonomic unit (otu)
bioinformatics
jordan
author_facet Walid Al-Zyoud
Rima Hajjo
Ahmed Abu-Siniyeh
Sarah Hajjaj
author_sort Walid Al-Zyoud
title Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan
title_short Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan
title_full Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan
title_fullStr Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan
title_full_unstemmed Salivary Microbiome and Cigarette Smoking: A First of Its Kind Investigation in Jordan
title_sort salivary microbiome and cigarette smoking: a first of its kind investigation in jordan
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2019-12-01
description There is accumulating evidence in the biomedical literature suggesting the role of smoking in increasing the risk of oral diseases including some oral cancers. Smoking alters microbial attributes of the oral cavity by decreasing the commensal microbial population and increasing the pathogenic microbes. This study aims to investigate the shift in the salivary microbiota between smokers and non-smokers in Jordan. Our methods relied on high-throughput next-generation sequencing (NGS) experiments for V3-V4 hypervariable regions of the 16S rRNA gene, followed by comprehensive bioinformatics analysis including advanced multidimensional data visualization methods and statistical analysis approaches. Six genera&#8212;<i>Streptococcus</i>, <i>Prevotella</i>, <i>Vellionella</i>, <i>Rothia</i>, <i>Neisseria</i>, and <i>Haemophilus</i>&#8212;predominated the salivary microbiota of all samples with different percentages suggesting the possibility for the salivary microbiome to restored after quitting smoking. Three genera&#8212;<i>Streptococcus</i>, <i>Prevotella</i>, and <i>Veillonella</i>&#8212;showed significantly elevated levels among smokers at the expense of <i>Neisseria</i> in non-smokers. In conclusion, smoking has a definite impact on shifting the salivary microbiota in smokers. We can suggest that there is microbial signature at the genera level that can be used to classify smokers and non-smokers by Linear Discriminant Analysis Effect Size (LEfSe) based on the salivary abundance of genera. Proteomics and metabolomics studies are highly recommended to fully understand the effect of bacterial endotoxin release and xenobiotic metabolism on the bacterial interrelationships in the salivary microbiome and how they affect the growth of each other in the saliva of smokers.
topic saliva
microbiome
microbiota
smoking
16s rrna
next-generation sequencing
operational taxonomic unit (otu)
bioinformatics
jordan
url https://www.mdpi.com/1660-4601/17/1/256
work_keys_str_mv AT walidalzyoud salivarymicrobiomeandcigarettesmokingafirstofitskindinvestigationinjordan
AT rimahajjo salivarymicrobiomeandcigarettesmokingafirstofitskindinvestigationinjordan
AT ahmedabusiniyeh salivarymicrobiomeandcigarettesmokingafirstofitskindinvestigationinjordan
AT sarahhajjaj salivarymicrobiomeandcigarettesmokingafirstofitskindinvestigationinjordan
_version_ 1724988484527063040