Views: 0 Author: Datafei Medical Publish Time: 2023-08-02 Origin: 迪飞医学
Figure 1 Flowchart of research admission and discharge
1. mNGS reveals the lung microbial profile of patients with pneumoconiosis
A total of 521 types of bacteria, 78 types of fungi, and 17 types of viruses were detected in the BALF samples of pneumoconiosis, among which the species with high detection frequency of bacteria were Streptococcus pneumoniae, Pseudomonas maltophilia, and R. slipperiella; fungal detection ranking The top three were Aspergillus flavus, Pneumocystis jirovecii and Schizophyllum; the detection rate of herpes virus was higher in patients with pneumoconiosis (Figure 2).
Figure 2 Lung microbiome of patients with pneumoconiosis (BALF)
2. Pneumoconiosis with infection and non-pneumoconiosis with infectionDifferential Microbiota Analysis
There were significant differences in the abundance of Mycobacterium columbia and Fusobacterium nucleatum between the P group and the non-P group (Fig. 3A), the former was mainly detected in pneumoconiosis patients, and the latter was mainly detected in non-pneumoconiosis patients.Another LEfSe analysis showed that Mycobacterium, Fusobacterium nucleatum, and Capnocytophaga were significantly different between the two groups (Fig. 3B).
Figure 3 Analysis of species differences between P group and non-P group
3. Mycobacterium Columbia and pneumoconiosis patientsworking yearsPositively correlated
Sperman's correlation analysis showed that oral bacteria such as Prevotella were significantly negatively correlated with patient age, pneumoconiosis years, and lymphocyte count, which may mean that the abundance of these microorganisms decreased with the progression of pneumoconiosis.M. columbianum was positively associated with pneumoconiosis-related work years, suggesting that M. columbia infection may increase with the progression of pneumoconiosis (Fig. 4).
Figure 4. Clinical and microbiological correlation analysis
4. mNGS detection of patients with pneumoconiosis and pulmonary infectionPathogenic spectrum of fungi and viruses
Compared with 16S, which can only identify bacteria in samples, mNGS can simultaneously analyze fungi and viruses in samples.As shown in Figure 5, we detected a higher detection rate of Malassezia and Pneumocystis in the P group, and herpesvirus was detected in most samples, while the detection rate of the virus was higher in the P group .
Fig.5 Analysis of viruses and fungi in P group and non-P group
This study explored differences in the lung microbiome between patients with pneumoconiosis and lung infection without pneumoconiosis.The findings confirmed that Mycobacterium columbia was positively associated with pneumoconiosis-associated work years, tentatively suggesting a link between pneumoconiosis and the microbe.In addition, the study found that these different microbial species can be used as potential biomarkers of pneumoconiosis, providing basic data for studying the pathogenesis of pneumoconiosis.