Journal of Traditional Chinese Medicine ›› 2023, Vol. 43 ›› Issue (2): 365-373.DOI: 10.19852/j.cnki.jtcm.20221206.003
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Microbial community structure of different tongue fur types in patients with chronic gastritis
WANG Yanan1, YUAN Li2, WANG Li1, XU Zhiyuan2, RUAN Hua3, CHENG Xiangdong2(
), DONG Changwu1()
- 1 College of Traditional Chinese Medicine, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230000, China
2 Department of Surgery, Cancer Hospital Affiliated to the University of Chinese Academy of Sciences, Hangzhou 310022, China
3 Department of Surgery, Yuhang Hospital of Traditional Chinese Medicine, Hangzhou 310022, China
-
Received:2022-02-19Accepted:2022-05-27Online:2023-04-15Published:2023-03-14 -
Contact:DONG Changwu, College of Traditional Chinese Medicine, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230000, China. dcw1018@aliyun.com; CHENG Xiangdong, Department of Surgery, Cancer Hospital Affiliated to the University of Chinese Academy of Sciences, Hangzhou 310022, China. Chengxd516@126.com. Telephone: +86-118756510448 -
Supported by:National Natural Science Foundation of China: Study on the Mechanism of New Sophora Japonica Extract Inhibiting the Formation of Liver Pre Metastasis Microenvironment by Down Regulating the Gastric Cancer Cell-Derived Exosome ITGB5(81973634);Key Research And Development Plan of Anhui Province: Development And Application of TCM Health Status Identification System Based on Artificial Intelligence Tongue Diagnosis(2022h11020018);Key Projects of Anhui Provincial Department of Education: Research on Key Technologies of Artificial Intelligence Tongue Color Recognition Based on Machine Learning(KJ2020A0379)
Cite this article
WANG Yanan, YUAN Li, WANG Li, XU Zhiyuan, RUAN Hua, CHENG Xiangdong, DONG Changwu. Microbial community structure of different tongue fur types in patients with chronic gastritis[J]. Journal of Traditional Chinese Medicine, 2023, 43(2): 365-373.
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Table 1 Baseline statistics of CG patients and healthy controls ($\bar{x}\pm s$)
| Variable | Group | HC (n = 30) | CG (n = 158) | P value |
|---|---|---|---|---|
| Age (years) | 57±10 | 58±10 | 0.911 | |
| Sex [n (%)] | Male Female | 13 (43.3) 17 (56.7) | 73 (46.2) 85 (53.8) | 0.772 |
Table 1 Baseline statistics of CG patients and healthy controls ($\bar{x}\pm s$)
| Variable | Group | HC (n = 30) | CG (n = 158) | P value |
|---|---|---|---|---|
| Age (years) | 57±10 | 58±10 | 0.911 | |
| Sex [n (%)] | Male Female | 13 (43.3) 17 (56.7) | 73 (46.2) 85 (53.8) | 0.772 |
Figure 1 Comparison of bacterial diversity between the healthy controls and CG patients A, B: box plots of Alpha diversity indices (Chao1, Shannon) comparing controls’ and patients’ samples. Patients (purple) harbored significantly greater bacterial diversity than healthy controls (yellow). C: PCA based on unweighted UniFrac distance illustrated the healthy controls' grouping patterns (blue) and patients (red). D: PCoA compared bacterial community structure between controls (red) and patients (blue). E, F: LEfSe identified the most differential abundant taxon between the two groups. Control-enriched taxa were indicated with a positive LDA score (green), and taxa enriched in CG patients had a negative score (red). Only taxa meeting an LDA significant threshold > 2 are shown. G: interaction graph of network for species correlation analysis. CG: patients with chronic gastritis; HC: healthy control.
Figure 1 Comparison of bacterial diversity between the healthy controls and CG patients A, B: box plots of Alpha diversity indices (Chao1, Shannon) comparing controls’ and patients’ samples. Patients (purple) harbored significantly greater bacterial diversity than healthy controls (yellow). C: PCA based on unweighted UniFrac distance illustrated the healthy controls' grouping patterns (blue) and patients (red). D: PCoA compared bacterial community structure between controls (red) and patients (blue). E, F: LEfSe identified the most differential abundant taxon between the two groups. Control-enriched taxa were indicated with a positive LDA score (green), and taxa enriched in CG patients had a negative score (red). Only taxa meeting an LDA significant threshold > 2 are shown. G: interaction graph of network for species correlation analysis. CG: patients with chronic gastritis; HC: healthy control.
Figure 2 Comparison of bacterial diversity in four groups A, B: box plots of Alpha diversity indicated (Chao1, Shannon) comparing four groups. YK group (yellow) harbored significantly lower bacterial diversity than the WN group (purple), WK group (blue) and YN group (green). C: PCA based on unweighted UniFrac distance illustrating the grouping patterns of the WN group (red), WK group (green), YN group (blue) and YK group (purple). D: PCoA compared bacterial community structure in the WN group (red), WK group (green), YN group (blue) and YK group (purple). E, F: LEfSe identified the most differential abundant taxon in four groups. Only taxa meeting an LDA significant threshold >2 were shown. G: interaction graph of network for species correlation analysis. WN: thin and white fur; WK: thick and white fur; YN: thin and yellow fur; YK: thick and yellow fur.
Figure 2 Comparison of bacterial diversity in four groups A, B: box plots of Alpha diversity indicated (Chao1, Shannon) comparing four groups. YK group (yellow) harbored significantly lower bacterial diversity than the WN group (purple), WK group (blue) and YN group (green). C: PCA based on unweighted UniFrac distance illustrating the grouping patterns of the WN group (red), WK group (green), YN group (blue) and YK group (purple). D: PCoA compared bacterial community structure in the WN group (red), WK group (green), YN group (blue) and YK group (purple). E, F: LEfSe identified the most differential abundant taxon in four groups. Only taxa meeting an LDA significant threshold >2 were shown. G: interaction graph of network for species correlation analysis. WN: thin and white fur; WK: thick and white fur; YN: thin and yellow fur; YK: thick and yellow fur.
| 1. |
Schindler R. Chronische gastritis. Klin Wochenschr 1966; 44: 601-12.
PMID |
| 2. |
Jiang JX, Liu Q, Mao XY, et al. Downward trend in the prevalence of helicobacter pylori infections and corresponding frequent upper gastrointestinal diseases profile changes in Southeastern China between 2003 and 2012. Springerplu 2016; 5: 1601.
DOI URL |
| 3. | Fang JY, Du YQ, Liu WZ, et al. Consensus on chronic gastritis in China (Shanghai, 2017). Zhong Hua Xiao Hua Za Zhi 2017; 37: 721-38. |
| 4. | Cui Y, Liao S, Wang H. ROC-Boosting: A feature selection method for health identification using tongue image. Comput Math Methods Med 2015; 2015: 362806. |
| 5. |
Guerrero-Preston R, Godoy-Vitorino F, Jedlicka A, et al. 16S rRNA amplicon sequencing identifies microbiota associated with oral cancer, human papilloma virus infection and surgical treatment. Oncotarget 2016; 7: 51320-34.
DOI PMID |
| 6. |
Lim Y, Totsika M, Morrison M, et al. Oral Microbiome: A new biomarker reservoir for oral and oropharyngeal cancers. Theranostics 2017; 7: 4313-21.
DOI PMID |
| 7. |
Cui J, Cui H, Yang M, et al. Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade. Protein Cell 2019; 10: 496-509.
DOI PMID |
| 8. |
Liu M, Wang X, Wu F, et al. Variations of oral microbiome in chronic insomnia patients with different tongue features. Am J Chin Med 2020; 48: 923-44.
DOI URL |
| 9. |
Zhi L, Zhang D, Yan JQ, et al. Classification of hyperspectral medical tongue images for tongue diagnosis. Comput Med Imaging Graph 2007; 31: 672-78.
DOI URL |
| 10. |
Sun S, Wei H, Zhu R, et al. Biology of the tongue coating and its value in disease diagnosis. Complement Med Res 2018; 25:191-7.
DOI PMID |
| 11. |
Hsu PC, Wu HK, Huang YC, et al. The tongue features associated with type 2 diabetes mellitus. Medicine (Baltimore) 2019; 98: e15567.
DOI URL |
| 12. |
Zhao Y, Gao X, Guo J, et al. Helicobacter pylori infection alters gastric and tongue coating microbial communities. Helicobacter 2019; 24: e12567.
DOI URL |
| 13. |
Pang W, Zhang D, Zhang J, et al. Tongue features of patients with coronavirus disease 2019: a retrospective cross-sectional study. Integr Med Res 2020; 9: 100493.
DOI URL |
| 14. |
Ma Y, Zhu C, Yang X, et al. Lingual flange protrusion: a diagnostic marker for metastatic liver cancer. J Tradit Chin Med 2017; 37: 782-8.
DOI URL |
| 15. |
Chen TH, Yu HT, Wu CH, et al. Black hairy tongue in an end-stage renal disease patient. J Formos Med Assoc 2021; 120: 1531-2.
DOI URL |
| 16. | Raiss H, Duplomb S, Tartas S, et al. Lingual metastasis as an initial presentation of renal cell carcinoma: a case report. J Med Case Rep 2017; 11: 314. |
| 17. | Hu J., S. Han Y. Chen, et al. Variations of tongue coating microbiota in patients with gastric cancer. Biomed Res In 2015; 2015: 173729. |
| 18. | Qin L, Li Y, Jiao Y, et al. Changes in blood components in aphtha patients with excess heat. Evid Based Complement Alternat Med 2016; 2016: 7219257. |
| 19. |
Zhao Y, Mao YF, Tang YS, et al. Altered oral microbiota in chronic hepatitis B patients with different tongue coatings. World J Gastroenterol 2018; 24: 3448-61.
DOI URL |
| 20. |
Ren Z, Wang H, Cui G, et al. Alterations in the human oral and gut microbiomes and lipidomics in COVID-19. Gut 2021; 70: 1253-65.
DOI PMID |
| 21. |
Xiong J, Hu H, Xu C, et al. Development of gut microbiota along with its metabolites of preschool children. BMC Pediatr 2022; 22: 25.
DOI PMID |
| 22. | Tan P, Wu X, Zhu W, et al. Effect of tributyrin supplementation in high-soya bean meal diet on growth performance, body composition, intestine morphology and microbiota of juvenile yellow drum (Nibea albiflora). Aquaculture Research 2020; 51. |
| 23. |
Chen Z, Li Q, Yu Z, et al. Analysis of the similarities and differences between Auclandia and Vladimirae rhizomes by chemical profiling and chemometric analysis. J Ethnopharmacol 2020; 255: 112719.
DOI URL |
| 24. |
Ye J, Cai X, Yang J, et al. Bacillus as a potential diagnostic marker for yellow tongue coating. Sci Rep 2016; 6:32496.
DOI PMID |
| 25. | Li H, Wang HW, Guo CR, et al. Analysis of microbial community structure of tongue coating at different taxonomic levels. Zhong Hua Zhong Yi Yao Za Zhi 2020; 35: 6298-301. |
| 26. |
Ye P, Liu Y, Cai YJ, et al. Microbial community alteration in tongue squamous cell carcinoma. Appl Microbiol Biotechnol 2021; 105: 8457-67.
DOI PMID |
| 27. |
Seerangaiyan K, Jüch F, Winkel EG. Tongue coating: its characteristics and role in intra-oral halitosis and general health-a review. J Breath Res 2018; 12: 034001
DOI URL |
| 28. | Huang JB, Xu JT, Zhang ZF, et al. Influence of "daily rhythm" related factors on tongue image characteristics of healthy people. Zhong Hua Zhong Yi Yao Za Zhi 2018; 33: 3462-5. |
| 29. | Zhang JP, Xu BL, Zhang L, et al. Construction of hypertension risk early warning system absorbing elements of Traditional Chinese Medicine. Zhong Hua Zhong Yi Yao Za Zhi 2018; 33: 4705-12. |
| 30. | Zhang L, Zhang JF, Zhan Y. An "omics" study on the formation mechanism of tongue coating. Shi Zhen National Medicine 2016; 27: 1464-6 |
| 31. |
Marshall BJ, Warren JR. Unidentified curved bacilli in the stomach of patients with gastritis and peptic ulceration. Lancet 1984; 1: 1311-5.
DOI PMID |
| 32. |
Jonkers D, Gisbertz I, de Bruine A, et al. Helicobacter pylori and non-Helicobacter pylori bacterial flora in gastric mucosal and tumour specimens of patients with primary gastric lymphoma. Eur J Clin Invest 1997; 27: 885-92.
PMID |
| 33. | Hakalehto E, Vilpponen-Salmela T, Kinnunen K, et al. Lactic acid bacteria enriched from human gastric biopsies. ISRN Gastroentero 2011; 2011: 109183. |
| 34. |
Aviles-Jimenez F, Vazquez-Jimenez F, Medrano-Guzman R, et al. Stomach microbiota composition varies between patients with non-atrophic gastritis and patients with intestinal type of gastric cancer. Sci Rep 2014; 4: 4202.
DOI PMID |
| 35. |
Sohn SH, Kim N, Jo HJ, et al. Analysis of gastric body microbiota by pyrosequencing: possible role of bacteria other than helicobacter pylori in the gastric carcinogenesis. J Cancer Prev 2017; 22: 115-25.
DOI URL |
| 36. |
Eun CS, Kim BK, Han DS, et al. Differences in gastric mucosal microbiota profiling in patients with chronic gastritis, intestinal metaplasia, and gastric cancer using pyrosequencing methods. Helicobacter 2014; 19: 407-16.
DOI PMID |
| 37. | Chen T, Yu WH, Izard J, et al. The human oral microbiome database: a web accessible resource for investigating oral microbe taxonomic and genomic information. Database (Oxford) 2010; 2010: baq013. |
| 38. |
Mukherjee PK, Wang H, Retuerto M, et al. Bacteriome and mycobiome associations in oral tongue cancer. Oncotarget 2017; 8: 97273-89.
DOI PMID |
| 39. |
Dixon MF, Genta RM, Yardley JH, et al. Classification and grading of gastritis. the updated sydney system. international workshop on the histopathology of gastritis, houston 1994. Am J Surg Pathol 1996; 20: 1161-81.
DOI PMID |
| 40. |
Valm AM. The structure of dental plaque microbial communities in the transition from health to dental caries and periodontal disease. J Mol Biol 2019; 431: 2957-69.
DOI PMID |
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