Research Paper Volume 16, Issue 4 pp 3241—3256

Gut microbiota was highly related to the immune status in chronic obstructive pulmonary disease patients

Mei Wang1, *, , Jun Song1, *, , Huizhen Yang1, , Xiaoyu Wu1, , Jin Zhang2, , Sheng Wang1, ,

  • 1 Department of Respiratory, Zhejiang Jinhua Guangfu Cancer Hospital, Jinhua 321000, Zhejiang, China
  • 2 Department of Psychiatry, Jinhua Second People’s Hospital, Jinhua 321000, Zhejiang, China
* Equal contribution

Received: October 23, 2023       Accepted: January 5, 2024       Published: February 12, 2024      

https://doi.org/10.18632/aging.205532
How to Cite

Copyright: © 2024 Wan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

This study aimed to explore the profile of gut microbiota and immunological state in COPD patients. 80 fecal and blood samples were collected from 40 COPD patients and 40 healthy controls (HC) and analyzed with 16s-rRNA gene sequencing and immunofactor omics analysis to investigate the profile of gut microbiota and immunologic factors (IFs). The linear discriminant analysis (LDA) effect size (LefSe) was used to determine the biomarker’s taxa. The random forest and LASSO regression analysis were executed to screen IFs and develop an IFscore model. The correlation between gut microbiota and IFs, along with the IFscore and the diversity of gut microbiota, was evaluated with the Spearman analysis. The α and β diversity showed that the composition and distribution of gut microbiota in the COPD group differed from that of the HC group. 7 differential taxa at the phylum level and 17 differential taxa at the genus level were found. LefSe analysis screened out 5 biomarker’s taxa. 32 differential IFs (up-regulated 27 IFs and down-regulated 5 IFs) were identified between two groups, and 5 IFs (CCL3, CXCL9, CCL7, IL2, IL4) were used to construct an IFscore model. The Spearman analysis revealed that 29 IFs were highly related to 5 biomarker’s taxa and enriched in 16 pathways. Furthermore, the relationship between the IFscore and gut microbiota diversity was very close. The gut microbiota and IFs profile in COPD patients differed from that in healthy individuals. Gut microbiota was highly related to the immune status in COPD patients.

Abbreviations

AUC: The area under the ROC; BMI: Body mass index; CCA: Canonical correspondence analysis; COPD: Chronic obstructive pulmonary disease; GOLD: Chronic Obstructive Lung Disease; HC: Healthy controls; IFs: Immunologic factors; KEGG: Kyoto Encyclopedia of Genes and Genomes; LASSO: Least absolute shrinkage and selection operator; LDA: Linear discriminant analysis; LefSe: The Linear discriminant analysis (LDA) effect size; NMDS: Non-metric multidimensional scaling; PCA: Principal Component Analysis; PCoA: Principal coordinate analysis; ROC: The receiver operating characteristic curves.