Study on the correlation between the distribution of traditional Chinese medicine syndrome elements and salivary microbiota in patients with pulmonary nodules_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

XIANG Hongxia ¹ , HE Jiawei ¹ , TAN Shiyan ¹ , YOU Liting ³ , FU Xi ^1,2 , YOU Fengming ^1,2 , SHI Wei ⁴ ,  MA Qiong ¹ ,  REN Yifeng ^1,2

1. Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, P. R. China;
2. TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, P. R. China;
3. Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China;
4. Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China;

Corresponding author：

MA Qiong, Email: ryftcm.dr@yahoo.com; REN Yifeng, Email: Maqiong.Dr@outlook.com

Keywords：

Psulmonary nodules; high-throughput 16S rRNA sequencing; traditional Chinese medicine (TCM) syndrome elements; salivary microbiota

DOI：

10.7507/1007-4848.202406034

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Citation： XIANG Hongxia, HE Jiawei, TAN Shiyan, YOU Liting, FU Xi, YOU Fengming, SHI Wei, MA Qiong, REN Yifeng. Study on the correlation between the distribution of traditional Chinese medicine syndrome elements and salivary microbiota in patients with pulmonary nodules. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2025, 32(5): 608-618. doi: 10.7507/1007-4848.202406034 Copy

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1.
2.
3.
4.
5.
6. Li X, Liu S, Wang XQ, et al. Advantages and considerations of Traditional Chinese Medicine in preventing and treating pulmonary nodules. J Bas Chin Med, 2023, 29(11): 1814-1817.
7.
8.
9. Li KX. Study on the Distribution of Syndromes and Syndrome Elements of Chronic Gastritis and Their Correlation with Cold-Heat Syndromes and Tongue Coating Microbiota. Beijing: Beiing University of Chinese Medicine, 2021.
10.
11.
12.
13.
14.
15. 李明珠, 陈启亮, 陈谦峰, 等. 基于证素辨证原理的微观指标中医辨证意义探究策略. 中华中医药杂志, 2021, 36(11): 6285-6288.Li MZ, Chen QL, Chen QF, et al. Exploration on the significance of TCM syndrome differentiation in micro index from syndrome elements differentiation principle. Chin J Trad Chin Med Pharm, 2021, 36(11): 6285-6288.
16.
17.
18.
19. 朱文锋, 主编. 中医证素辨证学. 北京: 人民卫生出版社, 2008. 88-90.Zhu WF. Fundamentals of Traditional Chinese Medicine diagnosis and differential diagnosis. Beijing: People's Medical Publishing House, 2008. 88-90.
20. 姜朋媛. 肺结节的中医中医证素分布特征研究. 北京: 北京中医药大学, 2021.Jiang PY. Study on the distribution characteristics of Traditional Chinese Medicine Syndromes in pulmonary nodules. Beijing: Beijing University of Chinese Medicine, 2021.
21.
22.
23. Liu S, Zhou X, Peng X, et al. Porphyromonas gingivalis promotes immunoevasion of oral cancer by protecting cancer from macrophage attack. J Immunol, 2020, 205(1): 282-289.
24.
25.
26.
27. Chen Y, Zhou R, Yi Z, et al. Porphyromonas gingivalis induced inflammatory responses and promoted apoptosis in lung epithelial cells infected with H1N1 via the Bcl-2/Bax/Caspase-3 signaling pathway. Mol Med Rep, 2018, 18: 97-104.
28. 陈妍. 肺癌患者不同舌苔类型的舌苔微生物研究. 皖南医学院. 2016.Chen Y. The tongue coaling microbiome in lung cancer patients as revealed by nex-generaion sequencing. Wannan Medical College, 2016.
29.
30.
31.
32.
33.
34.
35. Oyunbileg B. Comparative Study of Syndrome Differentiation and Tongue Coating Microbiota in Patients with Chronic Atrophic Gastritis in China and Mongolia. Beijing University of Chinese Medicine, 2022.
36.
37.
38.
39.
40.
41. Zhao Y, Ye Q, Feng Y, et al. Prevotella genus and its related NOD-like receptor signaling pathway in young males with stage Ⅲ periodontitis. Front Microbiol, 2022, 13: 1049525.
42.
43.
44.
45.
46.
47.
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49.

Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Study on the correlation between the distribution of traditional Chinese medicine syndrome elements and salivary microbiota in patients with pulmonary nodules

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