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Hou X, Yang J, Xie J, Zhu S, Zhang Z. Diversity and Antibiotic Resistance of Triticale Seed-Borne Bacteria on the Tibetan Plateau. Microorganisms 2024; 12:650. [PMID: 38674594 PMCID: PMC11052201 DOI: 10.3390/microorganisms12040650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/16/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
The Tibetan Plateau is located in southwestern China. It has many important ecological functions, such as biodiversity protection, and is an important grassland agroecosystem in China. With the development of modern agriculture and animal husbandry, antibiotics are widely used to treat humans and livestock, and antibiotics cannot be fully metabolised by both. Antibiotics eventually find their way into the environment, affecting other parts of grassland agroecosystems. Triticale (Triticosecale wittmack) is an artificial hybrid forage that can be used for both grain and forage. This study revealed the diversity of seedborne bacteria in triticale on the Tibetan Plateau and the resistance of the bacteria to nine antibiotics. It identified 37 representative strains and successfully obtained the spliced sequences of 36 strains of the bacteria, which were clustered into 5 phyla and 16 genera. Among them, 18 strains showed resistance to at least one of the 9 antibiotics, and the colony-forming unit (CFU) abundance of antibiotic-resistant bacteria (ARB) accounted for 45.38% of the total samples. Finally, the bacterial motility and biofilm formation ability were measured, and their correlation with bacterial resistance was analysed. The results showed that the bacterial resistance did not have an absolute positive correlation with the motility or biofilm formation ability.
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Affiliation(s)
| | | | | | | | - Zhenfen Zhang
- Key Laboratory of Grassland Ecosystem, Ministry of Education, Pratacultural College, Gansu Agricultural University, Lanzhou 730070, China; (X.H.); (J.Y.); (J.X.); (S.Z.)
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Tang X, Zhang L, Ren S, Zhao Y, Liu K, Zhang Y. Stochastic Processes Derive Gut Fungi Community Assembly of Plateau Pikas ( Ochotona curzoniae) along Altitudinal Gradients across Warm and Cold Seasons. J Fungi (Basel) 2023; 9:1032. [PMID: 37888290 PMCID: PMC10607853 DOI: 10.3390/jof9101032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 10/05/2023] [Accepted: 10/18/2023] [Indexed: 10/28/2023] Open
Abstract
Although fungi occupy only a small proportion of the microbial community in the intestinal tract of mammals, they play important roles in host fat accumulation, nutrition metabolism, metabolic health, and immune development. Here, we investigated the dynamics and assembly of gut fungal communities in plateau pikas inhabiting six altitudinal gradients across warm and cold seasons. We found that the relative abundances of Podospora and Sporormiella significantly decreased with altitudinal gradients in the warm season, whereas the relative abundance of Sarocladium significantly increased. Alpha diversity significantly decreased with increasing altitudinal gradient in the warm and cold seasons. Distance-decay analysis showed that fungal community similarities were significantly and negatively correlated with elevation. The co-occurrence network complexity significantly decreased along the altitudinal gradients as the total number of nodes, number of edges, and degree of nodes significantly decreased. Both the null and neutral model analyses showed that stochastic or neutral processes dominated the gut fungal community assembly in both seasons and that ecological drift was the main ecological process explaining the variation in the gut fungal community across different plateau pikas. Homogeneous selection played a weak role in structuring gut fungal community assembly during the warm season. Collectively, these results expand our understanding of the distribution patterns of gut fungal communities and elucidate the mechanisms that maintain fungal diversity in the gut ecosystems of small mammals.
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Affiliation(s)
- Xianjiang Tang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
- Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Xining 810008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liangzhi Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
- Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Xining 810008, China
| | - Shien Ren
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
- Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Xining 810008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaqi Zhao
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
- Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Xining 810008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kai Liu
- Qinghai Provincial Grassland Station, Xining 810008, China
| | - Yanming Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
- Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Xining 810008, China
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Pei S, Feng L, Zhang Y, Liu J, Li J, Zheng Q, Liu X, Luo B, Ruan Y, Li H, Hu W, Niu J, Tian T. Effects of long-term metal exposure on the structure and co-occurrence patterns of the oral microbiota of residents around a mining area. Front Microbiol 2023; 14:1264619. [PMID: 37928665 PMCID: PMC10620801 DOI: 10.3389/fmicb.2023.1264619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023] Open
Abstract
Objectives The 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. Methods Subjects 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. Results Due 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. Conclusion Long-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.
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Affiliation(s)
- Shuwei Pei
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Lu Feng
- School of Stomatology, Lanzhou University, Lanzhou, Gansu, China
| | - Yonghua Zhang
- Child Health Department, Lanzhou Maternal and Child Health Care Hospital, Lanzhou, Gansu, China
| | - Jiangyun Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Jia Li
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Qiwen Zheng
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xingrong Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Bin Luo
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Ye Ruan
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Huan Li
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Weigang Hu
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China
| | - Jingping Niu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Tian Tian
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
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Dong K, Li W, Xu Q, Hong Z, Zhang S, Zhang B, Wu Y, Zuo H, Liu J, Yan Z, Pei X. Exploring the correlation of metabolites changes and microbial succession in solid-state fermentation of Sichuan Sun-dried vinegar. BMC Microbiol 2023; 23:197. [PMID: 37488503 PMCID: PMC10364395 DOI: 10.1186/s12866-023-02947-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 07/17/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND The traditional Sichuan Sun-dried vinegar (SSV) with unique flavor and taste is believed to be generated by the solid-state fermentation craft. However, how microorganisms and their metabolites change along with fermentation has not yet been explored. RESULTS In this study, our results demonstrated that the middle and late stages of SSV fermentation were the periods showing the largest accumulation of organic acids and amino acids. Furthermore, in the bacterial community, the highest average relative abundance was Lactobacillus (ranging from 37.55 to 92.50%) in all fermentation stages, while Acetobacters ranked second position (ranging from 20.15 to 0.55%). The number of culturable lactic acid bacteria is also increased during fermentation process (ranging from 3.93 to 8.31 CFU/g). In fungal community, Alternaria (29.42%), Issatchenkia (37.56%) and Zygosaccharomyces (69.24%) were most abundant in different fermentation stages, respectively. Interestingly, Zygosaccharomyces, Schwanniomyces and Issatchenkia were first noticed as the dominant yeast genera in vinegar fermentation process. Additionally, spearman correlation coefficients exhibited that Lactobacillus, Zygosaccharomyces and Schwanniomyces were significant correlation with most metabolites during the fermentation, implying that these microorganisms might make a significant contribution to the flavor formation of SSV. CONCLUSION The unique flavor of SSV is mainly produced by the core microorganisms (Lactobacillus, Zygosaccharomyces and Schwanniomyces) during fermentation. This study will provide detailed information related to the structure of microorganism and correlation between changes in metabolites and microbial succession in SSV. And it will be very helpful for proposing a potential approach to monitor the traditional fermentation process.
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Affiliation(s)
- Ke Dong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Weizhou Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Qiuhong Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Zehui Hong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Shirong Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Baochao Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Yating Wu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Haojiang Zuo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China
| | - Jiazhen Liu
- Zigong Qiantian Baiwei Food Co., Ltd, Zigong, 643200, PR China
| | - Ziwen Yan
- Zigong Qiantian Baiwei Food Co., Ltd, Zigong, 643200, PR China
| | - Xiaofang Pei
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Nan Road, Chengdu, 610041, PR China.
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, 610041, PR China.
- West China-PUMC C. C. Chen Institute of Health, Sichuan University, Chengdu, 610041, PR China.
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Xie L, Zhang X, Gao X, Wang L, Cheng Y, Zhang S, Yue J, Tang Y, Deng Y, Zhang B, He X, Tang M, Yang H, Zheng T, You J, Song X, Xiong J, Zuo H, Pei X. Microbiota and mycobiota in bronchoalveolar lavage fluid of silicosis patients. J Occup Med Toxicol 2023; 18:10. [PMID: 37430310 DOI: 10.1186/s12995-023-00377-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/29/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND The contribution of bronchoalveolar lavage fluid (BALF) microbiota and mycobiota to silicosis has recently been noticed. However, many confounding factors can influence the accuracy of BALF microbiota and mycobiota studies, resulting in inconsistencies in the published results. In this cross-sectional study, we systematically investigated the effects of "sampling in different rounds of BALF" on its microbiota and mycobiota. We further explored the relationship between silicosis fatigue and the microbiota and mycobiota. METHODS After obtaining approval from the ethics board, we collected 100 BALF samples from 10 patients with silicosis. Demographic data, clinical information, and blood test results were also collected from each patient. The characteristics of the microbiota and mycobiota were defined using next-generation sequencing. However, no non-silicosis referent group was examined, which was a major limitation of this study. RESULTS Our analysis indicated that subsampling from different rounds of BALF did not affect the alpha- and beta-diversities of microbial and fungal communities when the centrifuged BALF sediment was sufficient for DNA extraction. In contrast, fatigue status significantly influenced the beta-diversity of microbes and fungi (Principal Coordinates Analysis, P = 0.001; P = 0.002). The abundance of Vibrio alone could distinguish silicosis patients with fatigue from those without fatigue (area under the curve = 0.938, 95% confidence interval [CI] 0.870-1.000). Significant correlations were found between Vibrio and haemoglobin levels (P < 0.001, ρ = -0.64). CONCLUSIONS Sampling in different rounds of BALF showed minimal effect on BALF microbial and fungal diversities; the first round of BALF collection was recommended for microbial and fungal analyses for convenience. In addition, Vibrio may be a potential biomarker for silicosis fatigue screening.
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Affiliation(s)
- Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaoyan Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaosi Gao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Linyao Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Yiyang Cheng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Shirong Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Ji Yue
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Yingru Tang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Yufeng Deng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Baochao Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Xun He
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Mingyuan Tang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Hua Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Tianli Zheng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Jia You
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Xuejiao Song
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Jingyuan Xiong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
| | - Haojiang Zuo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Chengdu, 610041, China.
| | - Xiaofang Pei
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Chengdu, 610041, China
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Impact of high altitude on composition and functional profiling of oral microbiome in Indian male population. Sci Rep 2023; 13:4038. [PMID: 36899053 PMCID: PMC10006418 DOI: 10.1038/s41598-023-30963-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 03/03/2023] [Indexed: 03/12/2023] Open
Abstract
The oral cavity of human contains bacteria that are critical for maintaining the homeostasis of the body. External stressors such as high altitude (HA) and low oxygen affect the human gut, skin and oral microbiome. However, compared to the human gut and skin microbiome, studies demonstrating the impact of altitude on human oral microbiota are currently scarce. Alterations in the oral microbiome have been reported to be associated with various periodontal diseases. In light of the increased occurrence of HA oral health related problems, the effect of HA on the oral salivary microbiome was investigated. We conducted a pilot study in 16 male subjects at two different heights i.e., H1 (210 m) and H2 (4420 m). Total of 31 saliva samples,16 at H1 and 15 at H2 were analyzed by utilizing the 16S rRNA high-throughput sequencing, to explore the relationship between the HA environment and salivary microbiota. The preliminary results suggesting that, the most abundant microbiome at the phylum level are: Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria. Interestingly, 11 genera were identified at the both heights with different relative abundances. In addition, the salivary microbiome was more diverse at H1 compared to H2 as demonstrated by decreased alpha diversity. Further, predicted functional results indicate that microbial metabolic profiles significantly decreased at H2 as compared to H1, including two major metabolic pathways involving carbohydrates, and amino acids. Our findings show that HA induces shifts in the composition and structure of human oral microbiota which can affect host health homeostasis.
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Wei A, Zhao H, Cong X, Wang L, Chen Y, Gou J, Hu Z, Hu X, Tian Y, Li K, Deng Y, Zuo H, Fu MR. Oral mycobiota and pancreatic ductal adenocarcinoma. BMC Cancer 2022; 22:1251. [PMID: 36460974 PMCID: PMC9716801 DOI: 10.1186/s12885-022-10329-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 11/17/2022] [Indexed: 12/05/2022] Open
Abstract
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.
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Affiliation(s)
- Ailin Wei
- Guang’an People’s Hospital, Sichuan Province, Guang’an, 638001 China
| | - Huiling Zhao
- grid.13291.380000 0001 0807 1581West China School of Nursing/Department of Otolaryngology-Head and Neck Surgery, West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041 China
| | - Xue Cong
- grid.13291.380000 0001 0807 1581West China School of Public Health/West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Wuhou District, Chengdu, 610041 Sichuan China
| | - Linyao Wang
- grid.13291.380000 0001 0807 1581West China School of Public Health/West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Wuhou District, Chengdu, 610041 Sichuan China
| | - Yiyang Chen
- grid.13291.380000 0001 0807 1581West China School of Public Health/West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Wuhou District, Chengdu, 610041 Sichuan China
| | - Juxiang Gou
- grid.13291.380000 0001 0807 1581West China School of Nursing/West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041 China
| | - Ziyi Hu
- grid.13291.380000 0001 0807 1581West China School of Nursing/West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041 China
| | - Xiuying Hu
- grid.13291.380000 0001 0807 1581West China School of Nursing/West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041 China
| | - Yali Tian
- grid.13291.380000 0001 0807 1581West China School of Nursing/West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041 China
| | - Ka Li
- grid.13291.380000 0001 0807 1581West China School of Nursing/West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041 China
| | - Yufeng Deng
- grid.13291.380000 0001 0807 1581West China School of Public Health/West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Wuhou District, Chengdu, 610041 Sichuan China
| | - Haojiang Zuo
- grid.13291.380000 0001 0807 1581West China School of Public Health/West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Wuhou District, Chengdu, 610041 Sichuan China ,grid.13291.380000 0001 0807 1581West China School of Nursing/West China Hospital, Sichuan University, Sichuan Province, Chengdu, 610041 China
| | - Mei Rosemary Fu
- grid.430387.b0000 0004 1936 8796Rutgers University, School of Nursing–Camden, 530 Federal Street, Camden, NJ 08102 USA
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8
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Chen R, Duan ZY, Duan XH, Chen QH, Zheng J. Progress in research on gut microbiota in ethnic minorities in China and consideration of intervention strategies based on ethnic medicine: A review. Front Cell Infect Microbiol 2022; 12:1027541. [DOI: 10.3389/fcimb.2022.1027541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 09/22/2022] [Indexed: 11/13/2022] Open
Abstract
One of the variables affecting gut microbiota is ethnicity. There are 56 ethnic subgroups in China, and their intestinal flora differs. A wealth of medical resources has also been produced by the presence of numerous ethnic minorities. In this study, we reviewed the pertinent literature on the intestinal flora of ethnic minorities in China and abroad using the CiteSpace visualization software, and we used bibliometric techniques to find the most widely prescribed medications for preventing and treating endemic diseases in ethnic minorities. Based on the gut microbiology of minority populations, we suggest that by comprehensive development involving literature, experimental, and clinical research, the pharmacological action mechanisms for interventions in endemic diseases can be drawn from ethnic medicine. This point of view has not been discussed before and will offer a fresh perspective on the creation and application of ethnic medications as well as a fresh method for the management of prevalent diseases in ethnic communities.
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Zhao L, Wang H, Gao Y, Hao B, Li X, Wen R, Chen K, Fan L, Liu L. Characteristics of oral microbiota in plateau and plain youth‐positive correlations between blood lipid level, metabolism and specific microflora in the plateau group. Front Cell Infect Microbiol 2022; 12:952579. [PMID: 36034699 PMCID: PMC9400057 DOI: 10.3389/fcimb.2022.952579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 07/18/2022] [Indexed: 11/15/2022] Open
Abstract
Objectives To analyze the characteristics of oral microbiota in plateau and plain youth and the possible function of the microbiome. Materials and methods A total of 120 healthy young males (80 on the plateau, 40 on the plain) completed this cross-sectional study. Oral microflora samples were collected from all participants. The bacterial 16S rDNA was amplified using PCR and sequenced using Illumina MiSeq high-throughput sequencing. The data were analyzed to determine the microbial distribution and community structure of the oral microflora from the two groups. Metastats was used to test differences in relative species abundance between the groups. The correlation between the abundance of specific bacteria and blood indicators was also analyzed. Results As demonstrated by alpha and beta diversity, the plateau group had lower microbial richness and a less even distribution of oral microbiota than the plain group. All predominant phyla and genera were qualitatively similar between the two groups, but their relative abundances differed. The relative abundance of bacteria in the phylum Firmicutes was significantly higher in the plateau group than in the plain group. At the genus level, Streptococcus spp. and Gemella spp. were also more abundant in the plateau group. The functional prediction indicated vigorous microbial metabolism in the oral bacterial community. We also found that the relative abundance of Streptococcus spp., the dominant genus, was positively correlated with triglyceride levels in the plateau group. Conclusions With increasing altitude, the diversity of oral microbiota and the relative proportion of predominant bacteria were altered. The distribution and related function of Streptococcus spp. were prominent in plateau samples. This comprehensive study of the relationship between oral microecology and elevation provides a point of reference for studying the human body’s adaptability or inadaptability to high altitude.
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Affiliation(s)
- LiBo Zhao
- Cardiology Department of the Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Huanhuan Wang
- College of Nursing, Peking University, Beijing, China
| | - Yinghui Gao
- Sleep Center, Peking University International Hospital, Beijing, China
| | - Benchuan Hao
- Cardiology Department of the Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Xueyan Li
- College of Basic Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, China
| | - Ruoqing Wen
- College of Integrated Traditional Chinese and Western Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, China
| | - Kaibing Chen
- Sleep Center, The Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Lanzhou, China
- *Correspondence: Lin Liu, ; Li Fan, ; Kaibing Chen,
| | - Li Fan
- Cardiology Department of the Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China
- *Correspondence: Lin Liu, ; Li Fan, ; Kaibing Chen,
| | - Lin Liu
- Department of Pulmonary and Critical Care Medicine of the Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China
- *Correspondence: Lin Liu, ; Li Fan, ; Kaibing Chen,
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