{"title":"通过综合生物信息学分析发现与慢性阻塞性肺病临床特征相关的肠道微生物群","authors":"Tianwen Lai, Chaole Luo, Yalian Yuan, Jia Fang, Yun Wang, Xiantong Tang, Lihuan Ouyang, Keyan Lin, Bin Wu, Weimin Yao, Ruina Huang","doi":"10.2147/copd.s436551","DOIUrl":null,"url":null,"abstract":"<strong>Introduction:</strong> Chronic obstructive pulmonary disease (COPD), an incurable chronic respiratory disease, has become a major public health problem. The relationship between the composition of intestinal microbiota and the important clinical factors affecting COPD remains unclear. This study aimed to identify specific intestinal microbiota with high clinical diagnostic value for COPD.<br/><strong>Methods:</strong> The fecal microbiota of patients with COPD and healthy individuals were analyzed by 16S rDNA sequencing. Random forest classification was performed to analyze the different intestinal microbiota. Spearman correlation was conducted to analyze the correlation between different intestinal microbiota and clinical characteristics. A microbiota-disease network diagram was constructed using the gut MDisorder database to identify the possible pathogenesis of intestinal microorganisms affecting COPD, screen for potential treatment, and guide future research.<br/><strong>Results:</strong> No significant difference in biodiversity was shown between the two groups but significant differences in microbial community structure. Fifteen genera of bacteria with large abundance differences were identified, including <em>Bacteroides, Prevotella, Lachnospira</em>, and <em>Parabacteroides</em>. Among them, the relative abundance of <em>Lachnospira</em> and <em>Coprococcus</em> was negatively related to the smoking index and positively related to lung function results. By contrast, the relative abundance of <em>Parabacteroides</em> was positively correlated with the smoking index and negatively correlated with lung function findings. Random forest classification showed that <em>Lachnospira</em> was the genus most capable of distinguishing between patients with COPD and healthy individuals suggesting it may be a potential biomarker of COPD. A <em>Lachnospira</em> disease network diagram suggested that <em>Lachnospira</em> decreased in some diseases, such as asthma, diabetes mellitus, and coronavirus disease 2019 (COVID-19), and increased in other diseases, such as irritable bowel syndrome, hypertension, and bovine lichen.<br/><strong>Conclusion:</strong> The dominant intestinal microbiota with significant differences is related to the clinical characteristics of COPD, and the <em>Lachnospira</em> has the potential value to identify COPD.<br/><br/><strong>Keywords:</strong> chronic obstructive pulmonary disease, intestinal microbiota, 16S rDNA sequencing, Lachnospira, gut-lung axis<br/>","PeriodicalId":13792,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"7 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Promising Intestinal Microbiota Associated with Clinical Characteristics of COPD Through Integrated Bioinformatics Analysis\",\"authors\":\"Tianwen Lai, Chaole Luo, Yalian Yuan, Jia Fang, Yun Wang, Xiantong Tang, Lihuan Ouyang, Keyan Lin, Bin Wu, Weimin Yao, Ruina Huang\",\"doi\":\"10.2147/copd.s436551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Introduction:</strong> Chronic obstructive pulmonary disease (COPD), an incurable chronic respiratory disease, has become a major public health problem. The relationship between the composition of intestinal microbiota and the important clinical factors affecting COPD remains unclear. This study aimed to identify specific intestinal microbiota with high clinical diagnostic value for COPD.<br/><strong>Methods:</strong> The fecal microbiota of patients with COPD and healthy individuals were analyzed by 16S rDNA sequencing. Random forest classification was performed to analyze the different intestinal microbiota. Spearman correlation was conducted to analyze the correlation between different intestinal microbiota and clinical characteristics. A microbiota-disease network diagram was constructed using the gut MDisorder database to identify the possible pathogenesis of intestinal microorganisms affecting COPD, screen for potential treatment, and guide future research.<br/><strong>Results:</strong> No significant difference in biodiversity was shown between the two groups but significant differences in microbial community structure. Fifteen genera of bacteria with large abundance differences were identified, including <em>Bacteroides, Prevotella, Lachnospira</em>, and <em>Parabacteroides</em>. Among them, the relative abundance of <em>Lachnospira</em> and <em>Coprococcus</em> was negatively related to the smoking index and positively related to lung function results. By contrast, the relative abundance of <em>Parabacteroides</em> was positively correlated with the smoking index and negatively correlated with lung function findings. Random forest classification showed that <em>Lachnospira</em> was the genus most capable of distinguishing between patients with COPD and healthy individuals suggesting it may be a potential biomarker of COPD. A <em>Lachnospira</em> disease network diagram suggested that <em>Lachnospira</em> decreased in some diseases, such as asthma, diabetes mellitus, and coronavirus disease 2019 (COVID-19), and increased in other diseases, such as irritable bowel syndrome, hypertension, and bovine lichen.<br/><strong>Conclusion:</strong> The dominant intestinal microbiota with significant differences is related to the clinical characteristics of COPD, and the <em>Lachnospira</em> has the potential value to identify COPD.<br/><br/><strong>Keywords:</strong> chronic obstructive pulmonary disease, intestinal microbiota, 16S rDNA sequencing, Lachnospira, gut-lung axis<br/>\",\"PeriodicalId\":13792,\"journal\":{\"name\":\"International Journal of Chronic Obstructive Pulmonary Disease\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Chronic Obstructive Pulmonary Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/copd.s436551\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Chronic Obstructive Pulmonary Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/copd.s436551","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
Promising Intestinal Microbiota Associated with Clinical Characteristics of COPD Through Integrated Bioinformatics Analysis
Introduction: Chronic obstructive pulmonary disease (COPD), an incurable chronic respiratory disease, has become a major public health problem. The relationship between the composition of intestinal microbiota and the important clinical factors affecting COPD remains unclear. This study aimed to identify specific intestinal microbiota with high clinical diagnostic value for COPD. Methods: The fecal microbiota of patients with COPD and healthy individuals were analyzed by 16S rDNA sequencing. Random forest classification was performed to analyze the different intestinal microbiota. Spearman correlation was conducted to analyze the correlation between different intestinal microbiota and clinical characteristics. A microbiota-disease network diagram was constructed using the gut MDisorder database to identify the possible pathogenesis of intestinal microorganisms affecting COPD, screen for potential treatment, and guide future research. Results: No significant difference in biodiversity was shown between the two groups but significant differences in microbial community structure. Fifteen genera of bacteria with large abundance differences were identified, including Bacteroides, Prevotella, Lachnospira, and Parabacteroides. Among them, the relative abundance of Lachnospira and Coprococcus was negatively related to the smoking index and positively related to lung function results. By contrast, the relative abundance of Parabacteroides was positively correlated with the smoking index and negatively correlated with lung function findings. Random forest classification showed that Lachnospira was the genus most capable of distinguishing between patients with COPD and healthy individuals suggesting it may be a potential biomarker of COPD. A Lachnospira disease network diagram suggested that Lachnospira decreased in some diseases, such as asthma, diabetes mellitus, and coronavirus disease 2019 (COVID-19), and increased in other diseases, such as irritable bowel syndrome, hypertension, and bovine lichen. Conclusion: The dominant intestinal microbiota with significant differences is related to the clinical characteristics of COPD, and the Lachnospira has the potential value to identify COPD.
期刊介绍:
An international, peer-reviewed journal of therapeutics and pharmacology focusing on concise rapid reporting of clinical studies and reviews in COPD. Special focus will be given to the pathophysiological processes underlying the disease, intervention programs, patient focused education, and self management protocols. This journal is directed at specialists and healthcare professionals