Comparative Study of Oral Bacteria and Fungi Microbiota in Tibetan and Chinese Han Living at Different Altitude

Wu, Ke; Zheng, Tianli; Yue, Ji; Wang, Weipeng; Luo, Ruocheng; You, Lan; He, Xun; Li, Jingjing; Hong, Zehui; Zuo, Haojiang; Pei, Xiaofang

doi:10.1620/tjem.254.129

Cited by 12 publications

(12 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In high altitude areas, residents often experience dry mouth and dry tongue (36), which can be uncomfortable. Moreover, it's reported that altitude was a risk factor to oral microbiota disorders (37). An imbalance in the oral microbiota is associated with dental caries(38), periodontitis, periimplantitis, mucosal diseases, and oral cancers.…”

Section: Discussionmentioning

confidence: 99%

Region-specific lifestyle and subjective perception are associated with oral health-related quality of life among Tibetan adolescents: a cross-sectional study

Duan

Tang

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

Background Research on the predictors of oral health-related quality of life (OHRQoL) in Tibetan adolescents is limited. The aim of this study was to investigate the OHRQoL of Tibetan adolescents in Ganzi, Sichuan, and to determine whether the region-specific lifestyle, subjective perception and objective conditions of oral health could predict Tibetan adolescents’ OHRQoL. Methods A cross-sectional survey of Tibetan adolescents aged 11–15 years was conducted in Ganzi, Sichuan. Relevant data was collected via a self-reported questionnaire and a complete oral examination. The OHRQoL was measured using the standardized Child Oral Impacts on Daily Performances (sC-OIDP) scores. Binary logistic regression was used to explore the association between region-specific lifestyle, subjective perception, objective conditions and OHRQoL. Results Four hundred and eighty-five Tibetan adolescents participated in the study. The sC-OIDP ranged from 39.44 to 99.70 (mean55.41 ± SD11.19) with 288 (59.38%) adolescents reported an sC-OIDP above 50. It was revealed that Tibetan adolescents living at a higher altitude of 3300m than 1400m were more likely to report a poorer OHRQoL (OR = 1.880, 95%CI 1.101–3.209, P = .021). Also, buttered tea consumption by adolescents (OR = 2.284, 1.200-4.348, P = .012) or by mother (OR = 2.278, 1.171–4.432, P = .015) and boarding student (OR = 1.761, 1.180–2.626, P = .006) were significantly associated with poorer OHRQoL. Regarding the subjective perception, adolescents that rated a bad or very bad oral health (OR = 4.360, 2.341–8.120, P < .001) was more likely to have poorer OHRQoL compared to those with good or very good oral health. Furthermore, self-reported dental pain was significantly related to poorer OHRQoL (OR = 2.836, 1.836–4.382, P < .001). Interestingly, objective conditions, such as BOP, DC and DMFT were not related to OHRQoL. Conclusion Region-specific lifestyle and subjective perception on oral health were the key predictors affecting the OHRQoL of Tibetan adolescents. To improve OHRQoL, it is recommended to weigh the pros and cons of buttered tea and take moderate consumption among adolescents and their mothers and improve communication of students in boarding school with their parents can boost self-confidence. Additionally, developing good oral hygiene habits and keeping more healthy teeth to prevent dental pain is equally important for improving OHRQoL.

show abstract

Section: Discussionmentioning

confidence: 99%

Region-specific lifestyle and subjective perception are associated with oral health-related quality of life among Tibetan adolescents: a cross-sectional study

Duan

Tang

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The FUNGuild database was applied to predict the nutritional and functional groups of the mycobiota [43]. It can be only classified into three main trophic modes: phagotroph, symbiotroph, saprotroph.…”

Section: Logistic Regression For Mycobiota Profilementioning

confidence: 99%

“…Second, we only used ITS1 sequencing to analyze mycobiota. Because of the limitations of FUNGuild [43], only preliminary functional prediction was performed in our study. Metagenomic detection should be considered in further study to better validate the function of the oral mycobiota from different populations.…”

Section: Logistic Regression For Mycobiota Profilementioning

confidence: 99%

Oral mycobiota and pancreatic ductal adenocarcinoma

et al. 2022

Self Cite

View full text Add to dashboard Cite

Early detection of pancreatic ductal adenocarcinoma (PDAC) is essential for survival. Preliminary research demonstrated significant associations between structural alternation of mycobiota and PDAC. In this study, we investigated the associations between oral mycobiota and PDAC. We further explored mycobiota biomarkers for PDAC detection. We enrolled 34 PDAC patients and 35 matched healthy controls from West China hospital in Southwest China. Demographic data, clinical information, and salivary samples were collected. Mycobiota characteristics were defined using Internal Transcribed Spacer (ITS) ribosomal RNA sequencing. We found that the PDAC patients had significant increase in fungal abundance (P < 0.001) and significant decrease in fungal diversity (P < 0.001) in comparison to the healthy controls. A higher abundance of Basidiomycota and Unclassifed_p_Ascomycota was associated with an increased risk of PDAC. With each increase of abundance of g__unclassified_k__Fungi and g__unclassified_p__Ascomycota in PDAC patients, the risk of pancreatic cancer increased by 1.359 odds and 1.260 odds, respectively. Aspergillus (AUC = 0.983, 95% CI 0.951–1.000) and Cladosporium (AUC = 0.969, 95% CI 0.921–1.000) achieved high classification powers to distinguish PDAC patients from the healthy controls. The rapid, inexpensive tests of ITS1 sequencing of mycobiota and PCR detection of potential fungal biomarkers make it promising for the clinical practice to use oral microbes for PDAC early detection and prevention. Results of our study provide evidence that salivary mycobiota may provide insights into cancer risk, prevention, and detection.

show abstract

“…The oral cavity is one of the earliest organs in the body to be exposed to the external environment, and its internal microbiome is more susceptible to changes due to external factors such as diet, medicines, pollutants in the environment, and geographical location ( Thomas et al, 2014 ; Dong et al, 2021 ; Gupta et al, 2022 ). Oral microbial communities are closely related to human health, affecting not only oral health but also the health of the whole body ( Gao et al, 2018 ; Zhang Y. et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of long-term metal exposure on the structure and co-occurrence patterns of the oral microbiota of residents around a mining area

Pei,

Feng,

Zhang

et al. 2023

Front. Microbiol.

View full text Add to dashboard Cite

ObjectivesThe aim of our study was to investigate the impact of long-term exposure to heavy metals on the microbiome of the buccal mucosa, to unveil the link between environmental contamination and the oral microbial ecosystem, and to comprehend its potential health implications.MethodsSubjects were divided into two groups: the exposure group and the control group. We collected samples of buccal mucosa, soil, and blood, and conducted microbial diversity analysis on both groups of oral samples using 16S rRNA gene sequencing. The concentrations of heavy metals in blood and soil samples were also determined. Additionally, microbial networks were constructed for the purpose of topological analysis.ResultsDue to long-term exposure to heavy metals, the relative abundance of Rhodococcus, Delftia, Fusobacterium, and Peptostreptococcus increased, while the abundance of Streptococcus, Gemella, Prevotella, Granulicatella, and Porphyromonas decreased. The concentrations of heavy metals in the blood (Pb, Cd, Hg, and Mo) were associated with the growth of Rhodococcus, Delftia, Porphyromonas, and Gemella. In addition, the relative abundances of some pathogenic bacteria, such as Streptococcus anginosus, S. gordonii, and S. mutans, were found to be enriched in the exposure group. Compared to the exposure group network, the control group network had a greater number of nodes, modules, interactive species, and keystone taxa. Module hubs and connectors in the control group converted into peripherals in the exposure group, indicating that keystone taxa changed. Metals in the blood (Pb, Cd, Hg, and Mo) were drivers of the microbial network of the buccal mucosa, which can have adverse effects on the network, thus providing conditions for the occurrence of certain diseases.ConclusionLong-term exposure to multiple metals perturbs normal bacterial communities in the buccal mucosa of residents in contaminated areas. This exposure reduces the complexity and stability of the microbial network and increases the risk of developing various diseases.

show abstract

Comparative Study of Oral Bacteria and Fungi Microbiota in Tibetan and Chinese Han Living at Different Altitude

Cited by 12 publications

References 39 publications

Region-specific lifestyle and subjective perception are associated with oral health-related quality of life among Tibetan adolescents: a cross-sectional study

Region-specific lifestyle and subjective perception are associated with oral health-related quality of life among Tibetan adolescents: a cross-sectional study

Oral mycobiota and pancreatic ductal adenocarcinoma

Effects of long-term metal exposure on the structure and co-occurrence patterns of the oral microbiota of residents around a mining area

Contact Info

Product

Resources

About