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Alternations of fecal microbes and lung tissue microbes in Lung Cancer patients is more consistent than that of sputum

Yanze Li, Hao Zhang, Huang Kun, Zhaohui Wang, Kai Huang
doi: https://doi.org/10.1101/2021.12.13.472428
Yanze Li
1Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
2Department of cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Hao Zhang
3Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Huang Kun
2Department of cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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  • For correspondence: huangkai1@hust.edu.cn wuxiaohongtian@163.com 446372485@qq.com
Zhaohui Wang
2Department of cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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  • For correspondence: huangkai1@hust.edu.cn wuxiaohongtian@163.com 446372485@qq.com
Kai Huang
1Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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  • For correspondence: huangkai1@hust.edu.cn wuxiaohongtian@163.com 446372485@qq.com
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Abstract

Microbiome in the human body environment is related to the occurrence of a variety of disease phenotypes. Recent studies discovered that lung is an open organism with in touch of air and microbe in it, and the presence of some microbes in lung cancer tissues proved that there are many microbes in lungs. In this project, we collected lung tissue, feces and sputum from three Bioprojects of NCBI related to lung cancer (LC). Each project contains LC cases and lung normal (LN) controls. Those three projects contain a total of 339 samples of 16s rRNA sequencing data. By analyzing the composition of microbes in the three environments, and predicting their functions we found that compared with sputum, the ecological environment of fecal microbe is closer to tissue microbes in terms of evolutionary relationship, indicating that the impact of feces on tissue microbes is greater than that of the sputum. We used Picrust2 to predict the differential microbe function of lung cancer (LC) and the control (Lung Normal, LN) groups in the three environments, and found that at the microbe genetic level, compared to feces and sputum, sputum and tissues, feces and tissues have more common Differential genes, at the level of differential enzyme genes and differential pathways, feces and tissues have more common differences compared to feces and sputum, sputum and tissues. Our results showed that the similarity of feces and tissue microbiome is closer than the similarity of sputum and feces microbe. Through Spearman correlation analysis based on the relative abundance of predicted pathways and the relative abundance of genus classified by LDA analysis as marker diseases and healthy samples. The results indicated that the activation of marker genus in sputum and feces and significantly changed pathways has an opposite trend, and there are many pathways contributing to glycolysis are correlated with marker genus. Patients with LC has potential to regulate the microbe composition of feces, tissues and sputum by regulating metabolism.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted December 14, 2021.
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Alternations of fecal microbes and lung tissue microbes in Lung Cancer patients is more consistent than that of sputum
Yanze Li, Hao Zhang, Huang Kun, Zhaohui Wang, Kai Huang
bioRxiv 2021.12.13.472428; doi: https://doi.org/10.1101/2021.12.13.472428
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Alternations of fecal microbes and lung tissue microbes in Lung Cancer patients is more consistent than that of sputum
Yanze Li, Hao Zhang, Huang Kun, Zhaohui Wang, Kai Huang
bioRxiv 2021.12.13.472428; doi: https://doi.org/10.1101/2021.12.13.472428

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