The gut microbiome in end-stage lung disease and lung transplantation DOI Creative Commons
Shuyan Zhang, J. Casper Swarte, Ranko Gaćeša

et al.

mSystems, Journal Year: 2024, Volume and Issue: 9(6)

Published: May 7, 2024

Gut dysbiosis has been associated with impaired outcomes in liver and kidney transplant recipients, but the gut microbiome of lung recipients not extensively explored. We assessed 64 fecal samples from end-stage disease patients before transplantation 219 after using metagenomic sequencing. To identify dysbiotic microbial signatures, we analyzed 243 age-, sex-, BMI-matched healthy controls. By unsupervised clustering, identified five groups different combinations immunosuppressants antibiotics them relation to microbiome. Finally, investigated chronic allograft dysfunction (CLAD) stages longitudinal changes transplantation. found 108 species (58.1%) 139 (74.7%) that were differentially abundant compared controls, several exhibiting sharp increases Different specific signatures. CLAD stage 0 was more similar controls those 1. diversity remained lower than average up 20 years post-transplantation. dysbiosis, already present exacerbated following transplantation.IMPORTANCEThis study provides extensive insights into which warrants further investigation can be used for microbiome-targeted interventions could improve outcome

Language: Английский

Exploring the Role of the “Gut-Lung Axis” in Chronic Obstructive Pulmonary Disease Based on the Concept of “Lung and Large Intestine Being Interior-Exteriorly Related” DOI

欣玉 李

Advances in Clinical Medicine, Journal Year: 2025, Volume and Issue: 15(01), P. 1294 - 1302

Published: Jan. 1, 2025

Language: Английский

Citations

0

Coinfection with influenza virus and non-typeable Haemophilus influenzae aggregates inflammatory lung injury and alters gut microbiota in COPD mice DOI Creative Commons

Xiao Y. Wu,

Runfeng Li,

Zhengshi Lin

et al.

Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14

Published: March 30, 2023

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is associated with high mortality rates. Viral and bacterial coinfection the primary cause AECOPD. How these microbes influences host inflammatory response gut microbiota composition not entirely understood.We developed a mouse model AECOPD by cigarette smoke exposure sequential infection influenza H1N1 virus non-typeable Haemophilus influenzae (NTHi). titer was determined using MDCK cells chocolate agar plates, respectively. The levels cytokines, adhesion molecules, in lungs were measured Bio-Plex flow cytometry assays. Gut analyzed 16S rRNA gene sequencing. Correlations between cytokines Spearman's rank correlation coefficient test.Coinfection NTHi resulted more severe lung injury, higher mortality, declined function COPD mice. enhanced growth lungs, but had no effect on H1N1. In addition, increased as well immune including total M1 macrophages, neutrophils, monocytes, NK cells, CD4 + T cells. contrast, alveolar macrophages depleted. Furthermore, caused decline diversity bacteria. Muribaculaceae, Lactobacillus, Akkermansia, Lachnospiraceae, Rikenella further found to be negatively correlated cytokine levels, whereas Bacteroides positively correlated.Coinfection causes deterioration mice due inflammation, which dysbiosis microbiota.

Language: Английский

Citations

9

Gut–lung Microbiota Interactions in Chronic Obstructive Pulmonary Disease (COPD): Potential Mechanisms Driving Progression to COPD and Epidemiological Data DOI
Francesco De Nuccio, Prisco Piscitelli, Domenico Maurizio Toraldo

et al.

Lung, Journal Year: 2022, Volume and Issue: 200(6), P. 773 - 781

Published: Oct. 14, 2022

Language: Английский

Citations

13

Gut microbiota was highly related to the immune status in chronic obstructive pulmonary disease patients DOI Creative Commons
Mei Wang, Jun Song,

Huizhen Yang

et al.

Aging, Journal Year: 2024, Volume and Issue: 16(4), P. 3241 - 3256

Published: Feb. 12, 2024

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

Language: Английский

Citations

2

The gut microbiome in end-stage lung disease and lung transplantation DOI Creative Commons
Shuyan Zhang, J. Casper Swarte, Ranko Gaćeša

et al.

mSystems, Journal Year: 2024, Volume and Issue: 9(6)

Published: May 7, 2024

Gut dysbiosis has been associated with impaired outcomes in liver and kidney transplant recipients, but the gut microbiome of lung recipients not extensively explored. We assessed 64 fecal samples from end-stage disease patients before transplantation 219 after using metagenomic sequencing. To identify dysbiotic microbial signatures, we analyzed 243 age-, sex-, BMI-matched healthy controls. By unsupervised clustering, identified five groups different combinations immunosuppressants antibiotics them relation to microbiome. Finally, investigated chronic allograft dysfunction (CLAD) stages longitudinal changes transplantation. found 108 species (58.1%) 139 (74.7%) that were differentially abundant compared controls, several exhibiting sharp increases Different specific signatures. CLAD stage 0 was more similar controls those 1. diversity remained lower than average up 20 years post-transplantation. dysbiosis, already present exacerbated following transplantation.IMPORTANCEThis study provides extensive insights into which warrants further investigation can be used for microbiome-targeted interventions could improve outcome

Language: Английский

Citations

2