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Song X, Liang J, Lin S, Xie Y, Ke C, Ao D, Lu J, Chen X, He Y, Liu X, Li W. Gut-lung axis and asthma: A historical review on mechanism and future perspective. Clin Transl Allergy 2024; 14:e12356. [PMID: 38687096 PMCID: PMC11060082 DOI: 10.1002/clt2.12356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 03/24/2024] [Accepted: 04/17/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Gut microbiota are closely related to the development and regulation of the host immune system by regulating the maturation of immune cells and the resistance to pathogens, which affects the host immunity. Early use of antibiotics disrupts the homeostasis of gut microbiota and increases the risk of asthma. Gut microbiota actively interact with the host immune system via the gut-lung axis, a bidirectional communication pathway between the gut and lung. The manipulation of gut microbiota through probiotics, helminth therapy, and fecal microbiota transplantation (FMT) to combat asthma has become a hot research topic. BODY: This review mainly describes the current immune pathogenesis of asthma, gut microbiota and the role of the gut-lung axis in asthma. Moreover, the potential of manipulating the gut microbiota and its metabolites as a treatment strategy for asthma has been discussed. CONCLUSION The gut-lung axis has a bidirectional effect on asthma. Gut microecology imbalance contributes to asthma through bacterial structural components and metabolites. Asthma, in turn, can also cause intestinal damage through inflammation throughout the body. The manipulation of gut microbiota through probiotics, helminth therapy, and FMT can inform the treatment strategies for asthma by regulating the maturation of immune cells and the resistance to pathogens.
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Affiliation(s)
- Xiu‐Ling Song
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Juan Liang
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Shao‐Zhu Lin
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Yu‐Wei Xie
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Chuang‐Hong Ke
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Dang Ao
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Jun Lu
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Xue‐Mei Chen
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Ying‐Zhi He
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Xiao‐Hua Liu
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Wen Li
- Department of PediatricsAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
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Yao R, Ai B, Wang Z, Shen B, Xue G, Yu D. Uncovering Microbial Composition of the Tissue Microenvironment in Bladder Cancer using RNA Sequencing Data. J Cancer 2024; 15:2431-2441. [PMID: 38495492 PMCID: PMC10937280 DOI: 10.7150/jca.93055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 01/27/2024] [Indexed: 03/19/2024] Open
Abstract
Purpose: Bladder cancer (BC) is one of the top 10 common tumors in the world. It has been reported that microbiota can colonize tissues and play important roles in tumorigenesis and progression. However, the current understanding of microorganisms in the BC tissue microenvironment remains unclear. Methods: In this study, we integrated the RNA-seq data of 479 BC tissue samples from seven datasets combined with a range of bioinformatics tools to explore the landscape of microbiome in the BC tissue microenvironment. Results: The pan-microbiome was estimated to surpass 1,400 genera. A total of seven core microbiota (Bacillus, Corynebacterium, Cutibacterium, Escherichia, Halomonas, Pasteurella, and Streptomyces) were identified. Among them, Bacillus was widely distributed in all datasets with a high relative abundance (10.11% of all samples on average). Moreover, some biological factors, including tissue source and tumor grade, were found significant effects on the microbial composition of the bladder tissue. Pseudomonas, Porphyrobacter, and Acinetobacter were enriched in tumor tissues, while Mycolicibacterium and Streptomyces were enriched in patients who showed durable response to BCG therapy. In addition, we established microbial co-occurrence networks and found that the BCG therapy may attenuate the microbiological interactions. Conclusions: This study clearly provided a microbial landscape of the BC tissue microenvironment, which was important for exploring the interactions between microorganisms and BC tissues. The identified specific taxa might be potential biomarkers for BC.
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Affiliation(s)
- Ruiqian Yao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Department of Medical Genetics, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China
| | - Bin Ai
- Department of Precision Medicine, Translational Medicine Research Center, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China
- Shanghai Key Laboratory of Cell Engineering, Shanghai, China
| | - Zeyi Wang
- Department of Urology, Huadong Hospital, Fudan University, Shanghai, China
| | - Bing Shen
- Department of Urology, Shanghai General Hospital Affiliated to Nanjing Medical University, Shanghai, 200080, China
- Department of Urology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China
| | - Geng Xue
- Department of Medical Genetics, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China
| | - Dong Yu
- Department of Precision Medicine, Translational Medicine Research Center, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China
- Shanghai Key Laboratory of Cell Engineering, Shanghai, China
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Tooba R, Wu TD. Obesity and asthma: A focused review. Respir Med 2022; 204:107012. [PMID: 36279813 PMCID: PMC9671155 DOI: 10.1016/j.rmed.2022.107012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/08/2022] [Accepted: 10/11/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Rubabin Tooba
- Department of Pulmonary and Critical Care Medicine, Baylor College of Medicine, Houston, TX, USA.
| | - Tianshi David Wu
- Department of Pulmonary and Critical Care Medicine, Baylor College of Medicine, Houston, TX, USA; Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA.
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Kong J, Yang F, Bai M, Zong Y, Li Z, Meng X, Zhao X, Wang J. Airway immune response in the mouse models of obesity-related asthma. Front Physiol 2022; 13:909209. [PMID: 36051916 PMCID: PMC9424553 DOI: 10.3389/fphys.2022.909209] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/18/2022] [Indexed: 11/25/2022] Open
Abstract
The prevalence rates of obesity and its complications have increased dramatically worldwide. Obesity can lead to low-grade chronic systemic inflammation, which predisposes individuals to an increased risk of morbidity and mortality. Although obesity has received considerable interest in recent years, the essential role of obesity in asthma development has not been explored. Asthma is a common chronic inflammatory airway disease caused by various environmental allergens. Obesity is a critical risk factor for asthma exacerbation due to systemic inflammation, and obesity-related asthma is listed as an asthma phenotype. A suitable model can contribute to the understanding of the in-depth mechanisms of obese asthma. However, stable models for simulating clinical phenotypes and the impact of modeling on immune response vary across studies. Given that inflammation is one of the central mechanisms in asthma pathogenesis, this review will discuss immune responses in the airways of obese asthmatic mice on the basis of diverse modeling protocols.
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Affiliation(s)
- Jingwei Kong
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Fan Yang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Minghua Bai
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yuhan Zong
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Zhuqing Li
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xianghe Meng
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaoshan Zhao
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
- School of Chinese Medicine, Southern Medical University, Guangzhou, China
- *Correspondence: Xiaoshan Zhao, ; Ji Wang,
| | - Ji Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of TCM Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Xiaoshan Zhao, ; Ji Wang,
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