Cargando…

Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis

This study aimed to find a potential biomarker that can be used to diagnose prediabetic condition by comparing the salivary bacterial microbiomes between Thai dental patients with normoglycemia (NG) and those with potential prediabetes (PPG) conditions. Thirty-three subjects were randomly recruited....

Descripción completa

Detalles Bibliográficos
Autores principales: Rungrueang, Kornwipa, Yuma, Suraphong, Tantipoj, Chanita, Khovidhunkit, Siribang-on Piboonniyom, Fuangtharnthip, Pornpoj, Thuramonwong, Thitima, Suwattipong, Muneedej, Supa-amornkul, Sirirak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307246/
https://www.ncbi.nlm.nih.gov/pubmed/34299886
http://dx.doi.org/10.3390/ijerph18147436
_version_ 1783728004458872832
author Rungrueang, Kornwipa
Yuma, Suraphong
Tantipoj, Chanita
Khovidhunkit, Siribang-on Piboonniyom
Fuangtharnthip, Pornpoj
Thuramonwong, Thitima
Suwattipong, Muneedej
Supa-amornkul, Sirirak
author_facet Rungrueang, Kornwipa
Yuma, Suraphong
Tantipoj, Chanita
Khovidhunkit, Siribang-on Piboonniyom
Fuangtharnthip, Pornpoj
Thuramonwong, Thitima
Suwattipong, Muneedej
Supa-amornkul, Sirirak
author_sort Rungrueang, Kornwipa
collection PubMed
description This study aimed to find a potential biomarker that can be used to diagnose prediabetic condition by comparing the salivary bacterial microbiomes between Thai dental patients with normoglycemia (NG) and those with potential prediabetes (PPG) conditions. Thirty-three subjects were randomly recruited. Demographic data were collected along with oral examination and unstimulated salivary collections. The salivary bacterial microbiomes were identified by high-throughput sequencing on the V3–V4 region of the bacterial 16S rRNA gene. Microbiomes in this study were composed of 12 phyla, 19 classes, 29 orders, 56 families, 81 genera, and 184 species. To check the validity of the selection criterion for prediabetes, we adopted two separate criteria to divide samples into PPG and NG groups using glycated hemoglobin A1c (HbA1c) or fasting plasma glucose (FPG) levels. Using the HbA1c level resulted in the significant reduction of Alloprevotella, Neisseria, Rothia, and Streptococcus abundances in PPG compared with those in NG (p-value < 0.05). On the other hand, the abundance of Absconditabacteriales was significantly reduced whereas Leptotrichia, Stomatobaculum, and Ruminococcaceae increased in the PPG group when the samples were classified by the FPG level (p-value < 0.05). It is implied that the group classifying criterion should be carefully concerned when investigating relative abundances between groups. However, regardless of the criteria, Rothia is significantly dominant in the NG groups, suggesting that Rothia might be a potential prediabetic biomarker. Due to the small sample size of this study, further investigation with a larger sample size is necessary to ensure that Rothia can be a potential biomarker for prediabetes in Thai people.
format Online
Article
Text
id pubmed-8307246
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-83072462021-07-25 Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis Rungrueang, Kornwipa Yuma, Suraphong Tantipoj, Chanita Khovidhunkit, Siribang-on Piboonniyom Fuangtharnthip, Pornpoj Thuramonwong, Thitima Suwattipong, Muneedej Supa-amornkul, Sirirak Int J Environ Res Public Health Article This study aimed to find a potential biomarker that can be used to diagnose prediabetic condition by comparing the salivary bacterial microbiomes between Thai dental patients with normoglycemia (NG) and those with potential prediabetes (PPG) conditions. Thirty-three subjects were randomly recruited. Demographic data were collected along with oral examination and unstimulated salivary collections. The salivary bacterial microbiomes were identified by high-throughput sequencing on the V3–V4 region of the bacterial 16S rRNA gene. Microbiomes in this study were composed of 12 phyla, 19 classes, 29 orders, 56 families, 81 genera, and 184 species. To check the validity of the selection criterion for prediabetes, we adopted two separate criteria to divide samples into PPG and NG groups using glycated hemoglobin A1c (HbA1c) or fasting plasma glucose (FPG) levels. Using the HbA1c level resulted in the significant reduction of Alloprevotella, Neisseria, Rothia, and Streptococcus abundances in PPG compared with those in NG (p-value < 0.05). On the other hand, the abundance of Absconditabacteriales was significantly reduced whereas Leptotrichia, Stomatobaculum, and Ruminococcaceae increased in the PPG group when the samples were classified by the FPG level (p-value < 0.05). It is implied that the group classifying criterion should be carefully concerned when investigating relative abundances between groups. However, regardless of the criteria, Rothia is significantly dominant in the NG groups, suggesting that Rothia might be a potential prediabetic biomarker. Due to the small sample size of this study, further investigation with a larger sample size is necessary to ensure that Rothia can be a potential biomarker for prediabetes in Thai people. MDPI 2021-07-12 /pmc/articles/PMC8307246/ /pubmed/34299886 http://dx.doi.org/10.3390/ijerph18147436 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rungrueang, Kornwipa
Yuma, Suraphong
Tantipoj, Chanita
Khovidhunkit, Siribang-on Piboonniyom
Fuangtharnthip, Pornpoj
Thuramonwong, Thitima
Suwattipong, Muneedej
Supa-amornkul, Sirirak
Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis
title Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis
title_full Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis
title_fullStr Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis
title_full_unstemmed Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis
title_short Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis
title_sort oral bacterial microbiomes in association with potential prediabetes using different criteria of diagnosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307246/
https://www.ncbi.nlm.nih.gov/pubmed/34299886
http://dx.doi.org/10.3390/ijerph18147436
work_keys_str_mv AT rungrueangkornwipa oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis
AT yumasuraphong oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis
AT tantipojchanita oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis
AT khovidhunkitsiribangonpiboonniyom oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis
AT fuangtharnthippornpoj oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis
AT thuramonwongthitima oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis
AT suwattipongmuneedej oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis
AT supaamornkulsirirak oralbacterialmicrobiomesinassociationwithpotentialprediabetesusingdifferentcriteriaofdiagnosis