侵袭性肺曲菌病患者肠道菌群特征及临床意义。

Polish journal of microbiology Pub Date : 2025-06-09 eCollection Date: 2025-06-01 DOI:10.33073/pjm-2025-011
Jiaqi Cao, Qian He, Ming Zhang, Rong Zhou, Chunlai Feng
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引用次数: 0

摘要

肠道菌群通过肠-肺轴作用于肺部,在肺部疾病中起重要作用。然而,没有关于侵袭性肺曲霉病(IPA)患者肠道微生物群特征的报道。我们旨在分析IPA患者肠道菌群的变化,并将这些变化与临床指标及疾病预后联系起来,探讨这些特征变化在IPA诊断中的应用价值。目的是为预防和治疗个体免疫提供理论依据。我们对43名IPA患者和31名健康对照者的粪便样本进行了新一代宏基因组测序,以分析这些患者肠道微生物群的变化。我们还建立了一个基于肠道菌群诊断IPA的随机森林模型。与健康对照组相比,IPA患者的肠道微生物群多样性和代谢水平下降。微生物群变化的特点是产生短链脂肪酸的抗炎物种显著减少,如Faecalibacterium、Blautia、Roseburia、Phocaeicola和Bacteroides。相比之下,机会致病菌,如肠球菌、棒状杆菌、埃希氏菌、葡萄球菌、嗜血杆菌和细戈氏菌显著富集。基于灰梭菌、韦氏蓝芽胞杆菌、假肺炎链球菌、纹状棒状杆菌和prausnitzfaecalibacterium的分类模型对IPA患者与健康对照组的区分具有较高的价值。IPA患者表现出肠道菌群失衡。肠道菌群可以作为一种生物标志物,帮助诊断IPA。我们的研究结果支持肠道微生物群作为IPA预防和治疗目标的潜在用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics and Clinical Significance of Gut Microbiota in Patients with Invasive Pulmonary Aspergillosis.

Gut microbiota acts on the lungs through the gut-lung axis and play an important role in lung diseases. However, there are no reports on the gut microbiota characteristics in patients with invasive pulmonary aspergillosis (IPA). We aimed to analyze changes in gut microbiota in IPA patients, correlate these changes with clinical indicators and disease prognosis, and explore the application value of these characteristic changes in diagnosing IPA. The objective was to provide a theoretical basis for preventing and treating individual immunity. We conducted metagenomic next-generation sequencing of fecal samples from 43 patients with IPA and 31 healthy controls to analyze changes in the gut microbiota of these patients. We also built a random forest model for diagnosing IPA based on the gut microbiota. Compared to healthy controls, IPA patients showed a decrease in gut microbiota diversity and metabolic levels. Changes in the microbiota were characterized by a significant reduction in anti-inflammatory species that produce short-chain fatty acids, such as Faecalibacterium, Blautia, Roseburia, Phocaeicola, and Bacteroides. In contrast, opportunistic pathogens, such as Enterococcus, Corynebacterium, Escherichia, Staphylococcus, Haemophilus, and Finegoldia, were significantly enriched. The classification model based on Clostridium fessum, Blautia wexlerae, Streptococcus pseudopneumoniae, Corynebacterium striatum, and Faecalibacterium prausnitzii showed high value in distinguishing patients with IPA from healthy controls. Patients with IPA exhibit gut microbiota imbalance. The gut microbiota can serve as a biomarker that helps in diagnosing IPA. Our findings support the potential use of gut microbiota as a target for IPA prevention and treatment.

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