Objective To analyze the differences in microbial communities in bronchoalveolar lavage fluid (BALF) from patients with simple pneumonia versus those with chronic obstructive pulmonary disease (COPD) combined with lower respiratory tract infection using metagenomic next-generation sequencing (mNGS). Methods Patients hospitalized for pulmonary infections at the First Affiliated Hospital of Xinjiang Medical University between December 2021 and March 2023 were included. Based on the presence of COPD, the patients were divided into two groups: those with simple pneumonia and those with COPD combined with lower respiratory tract infection. mNGS was employed to detect microbes in BALF, and the microbial community distribution characteristics of the two groups were analyzed. Results A total of 97 patients were included, of whom 80 (81.82%) had positive microbial detection results. The smoking index in COPD group with lower respiratory tract infection was significantly higher than that in the group with simple pneumonia (t= ?3.62, P=0.001). Differences in microbial community distributions were observed between the groups. At the genus level, 19 species of microorganisms were detected in the simple pneumoniapulmonary infection group, including 8 bacteria (42.11%), 2 fungi (10.53%), 3 viruses (15.79%), and 6 other types of microorganisms (31.58%). In contrast, 22 types of microbes were detected in COPD group with lower respiratory tract infection, including 10 bacteria (47.62%), 3 fungi (14.29%), 4 viruses (19.05%), and 4 other types of microorganisms (19.05%). Differences were also noted in reads per million (RPM) values; bacterial RPM values at the genus level were significantly higher in the COPD group during non-severe pneumonia compared to the simple pneumonia group (Z=–2.706, P=0.007). In the patients with severe pneumonia, RPM values at the genus and species levels were significantly higher than those in non-severe pneumonia (Z=?2.202, P=0.028; Z=?2.141, P=0.032). In COPD combined with severe pneumonia, bacterial RPM values were significantly higher at the species level compared to non-severe pneumonia (Z=?2.367, P=0.017). ConclusionsThere are differences in the distribution of microbial communities at the genus and species levels in BALF from patients with COPD combined with lower respiratory tract infection compared to those with simple pulmonary pneumonia. Bacteria are the predominant microbial type in both groups, but the dominant bacterial species differ between them. Simple pneumonia are primarily associated with bacterial, viral, and other types of microbial infections, while COPD combined with lower respiratory tract infection is predominantly associated with fungal and bacterial infections. RPM values may serve as an indicator of the severity of pneumonia.
Objective By using metagenomic next-generation sequencing (mNGS), we aimed to analyze the microbes characteristics of lower respiratory tract of patients with pulmonary infection, so as to improve the further understanding of clinical etiological characteristics of patients with pulmonary infection. Methods A total of 840 patients with suspected pulmonary infection were enrolled from August 2020 to October 2021 in West China Hospital of Sichuan University. mNGS was used to detect the microbiome of bronchoalveolar lavage fluid of all patients, and the microbial characteristics of lower respiratory tract of all patients were retrospectively analyzed. Results A total of 840 patients were enrolled, of which 743 were positive for microbiome, with bacterial infection accounting for 35.13% (261/743). Acinetobacter baumannii accounted for 18.98% (141/743), followed by Streptococcus pneumoniae (14.13%, 105/743), Klebsiella pneumoniae (13.46%, 100/743), Enterococcus faecium (12.11%, 90/743) and Mycobacterium tuberculosis complex (11.98%, 89/743). Acinetobacter baumannii had the highest average reads (2607.48). In addition, some specific pathogens were detected, such as 9 cases of Chlamydia psittaci. The main fungal infections were Candida albicans (12.38%, 92/743), Pneumocystis jirovecii (9.02%, 67/743) and Aspergillus fumigatus (7.40%, 55/743), among which the average reads of Pneumocystis jirovecii was higher (141.86) than Candida albicans and Aspergillus fumigatus. In addition, some special pathogens were also detected, such as a case of Talaromyces marneffei. The main viral infections included human β herpevirus 5 (17.90%, 133/743), human γ herpevirus 4 (17.36%, 129/743), human β herpevirus 7 (16.15%, 120/743) and human α herpevirus 1 (13.59%, 101/743), among which the average reads of human herpesvirus type 1 (367.27) was the highest. Parasitic infection was least, with only 2 cases of Echinococcus multilocularis, 2 cases of Angiostrongylus cantonensis, 2 cases of Dermatophagoides pteronyssinus and 1 case of Dermatophagoides farinae, which were mainly infected with bacteria and viruses. In addition, a total of 407 patients were diagnosed with mixed infection, of which virus and bacteria mixed infection was the most (22.61%, 168/743). The distribution of microorganisms in different seasons also has certain characteristics. For example, bacteria (Acinetobacter baumannii) were most frequently detected in autumn and winter, while viruses (human gamma-herpesvirus type 4) were most frequently detected in spring and summer. Conclusions In the lower respiratory tract of patients with pulmonary infection, the main gram-negative bacteria are Acinetobacter baumannii and Klebsiella pneumoniae, while the main gram-positive bacteria are Streptococcus pneumoniae, Enterococcus faecium and Mycobacterium tuberculosis complex; the main fungi are Candida albicans, Pneumocystis jirovecii and Aspergillus fumigatus; the main viruses are human β herpevirus 5, human γ herpevirus 4 and human β herpevirus 7. However, parasites are rarely detected and have no obvious characteristics. Bacterial infection and bacterial virus mixed infection are the main co-infections; the microbial characteristics of autumn and winter are different from those of spring and summer. In addition, attention should be paid to special pathogenic microorganisms, such as Chlamydia psittaci and Talaromyces marneffei. These characteristics could be used as reference and basis for the pathogenic diagnosis of pulmonary infection.
ObjectiveTo explore the application and clinical value of metagenomic next-generation sequencing (mNGS) combined with Omadacycline in the treatment of Refractory Mycoplasma pneumoniae pneumonia (RMPP).MethodsThe clinical data, relevant laboratory results, diagnosis and treatment process, and imaging outcomes of four patients diagnosed with Mycoplasma pneumoniae pneumonia through mNGS were analyzed. ResultsThe clinical symptoms at onset in all four patients were consistent with Mycoplasma pneumoniae pneumonia. After conventional treatment with macrolides, tetracyclines, or quinolone antibiotics, the symptoms showed no significant improvement, and there was a trend of radiological worsening. Following the confirmation of Mycoplasma pneumoniae infection through mNGS of bronchoalveolar lavage fluid, and due to various reasons preventing the use of the aforementioned drugs, omadacycline was ultimately chosen for treatment. Radiological improvements were observed in all cases, leading to a good prognosis and discharge. ConclusionsFor pneumonia cases where the infectious pathogen cannot be identified and conventional treatment has failed, mNGS can be utilized for early and accurate diagnosis. In cases of RMPP, Omadacycline can be employed as an alternative treatment to prevent delays in care and reduce the risk of complications.
In recent years, with the wide application of metagenomics next-generation sequencing, more and more rare pathogens have been detected in our clinical work, including non-tuberculous Mycobacterium, Corynebacterium, Fusarium, Cryptococcus pneumoniae, human herpes virus, torque teno virus, parvovirus, Tropheryma whipplei, Bartonella, Chlamydia psittaci, etc. It is difficult to determine whether these rare pathogens are clinically significant and need treatment. This article puts forward some suggestions and discussions on the diagnosis and treatment of pulmonary infections with some rare pathogens.
Objective To explore the application value of metagenomic next-generation sequencing (mNGS) based on human sequencing in the clinical early diagnosis of lung cancer. Methods Four patients hospitalized with suspected lung infection were retrospectively analyzed, and the test results of bronchoalveolar lavage fluid (BALF) on mNGS of tumor metagenome, the routine clinical test results, and their clinical diagnosis and treatment information in between August 26, 2021, and December 18, 2021. Results Patient 1 was preliminarily diagnosed with lung cancer by referring to chest computed tomography (CT) imaging. Chest radiograph or CT in the other three patients showed bilateral lung CT and lamellar hyperintensities (patient 2), bilateral lung mass-like and lamellar hyperintensities (patient 3), and lung masses (patient 4), respectively. BALF samples from all 4 patients were detected with mNGS based on human tumor sequences, indicating tumor. In addition, the result in patient 3 also indicated white pseudofilamentous yeast infection consistent with clinical culture, and the result in patient 4 also showed infection of rhinovirus type A. Conclusion The second generation genome sequencing technology based on human sequence can not only assist clinical diagnosis of infection, but also provide detection datUM support for tumor early warning.
Objective To analysis and explore the value of metagenomics next-generation sequencing (mNGS) and clinical characteristics of Chlamydia psittaci (C. psittaci) pneumonia. Methods Totally 5 patients who were diagnosed with C. psittaci pneumonia and were treated in the Department of Respiratory and Critical Care Medicine and the Department of Infectious Diseases of Huazhong University of Science and Technology Union Shenzhen Hospital from Febuary 2021 to March 2021 were enrolled in the study. The clinical data of the patients were analyzed, and the clinical characteristics of the disease and treatment experience were summarized. Results The main symptoms of the 5 patients were high fever and cough, 4 of them had a history of raising parrots. The white blood cell and the neutrophils were mostly normal or slightly increased, the C reactive protein and erythrocyte sedimentation rate were significantly increased. The chest CT showed exudation and consolidation of one or several lung lobes. The serious patients might develop respiratory failure, if they were not treated by effective antibiotics. The diagnosis was based on clinical manifestations, contact history and alveolar lavage fluid that were detected by mNGS technology of C. psittaci nucleic acid sequence. The accuracy of detecting pathogens in alveolar lavage fluid by mNGS was high. In addition, mNGS could also identify other bacteria or viruses. After the timely adjustment of treatment, the condition of the patients was improved relied on tetracycline drugs or quinolone drugs, which shortened the diagnosis time and course of C. psittaci pneumnonia and reduced the use of unnecessary antibacterial drugs. Conclusions mNGS is of great significance in diagnosing C. psittaci pneumonia. The timely use of appropriate antibacterial drugs can achieve favorable therapeutic effect.
Objective To investigate the clinical manifestations, diagnosis, treatment and prognosis of psittacosis patients. Methods The clinical features, treatment and prognosis of severe pneumonia caused by Chlamydia psittaci were analyzed and relevant literatures were reviewed. Results An 83-year-old male with a history of type 2 diabetes mellitus was admitted to the hospital for "fever, cough for 5 days and dyspnea for 3 days". Chest CT showed a large mass of increased density in the right lung; CD4+ T lymphocytes had an absolute value of 23 cells/μL; Blood gas analysis showed type Ⅰ respiratory failure; Chlamydia psittaci was detected by metagenomic next-generation sequencing. The patient was diagnosed of severe pneumonia (Chlamydia psittaci), type 2 diabetes mellitus, suspected central nervous system infection. This patient was treated with doxycycline and macrolides antibiotics and discharged from hospital after complete recovery. Literature review showed that patients got infected from contacting sick bird, manifested with multiple system involvement. Respiratory symptoms were common, while central nervous system infection seemed to be rare. The diagnosis of psittacosis depended on serology, nucleic acid detection, pathogen isolation and culture. Metagenomic next-generation sequencing had superiority in the diagnosis of psittacosis. Tetracyclines were the preferable treatment, such as doxycycline or tetracycline, with a duration of at least 10 to 14 days. The prognosis of psittacosis was well, and most of the severe and even life-threatening cases were caused by unclear diagnosis and delayed treatment, and the overall mortality rate was about 1%. Conclusions Psittacosis is one kind of zoonoses. History of poultry exposure is helpful in diagnosis, and metagenomic next-generation sequencing has advantages in diagnosing psittacosis. Tetracyclines are preferred with adequate course of treatment. The overall prognosis is good.
Objective To summarize the clinical characteristics of pneumocystis pneumonia (PCP) secondary to interstitial lung disease (ILD) to improve the prophylaxis and management level of clinicians. Methods The clinical data of 50 patients with PCP secondary to ILD in the Department of Respiratory and Critical Care Medicine of Nanjing Drum Tower Hospital from January 2015 to December 2022 were collected. SPSS 26.0 software was used for statistical analysis. Results A total of 50 patients with PCP secondary to ILD were screened. Among the 50 patients, there were 23 males and 27 females, with a median age of 64 years old. Forty-eight cases (96%) had a history of glucocorticoid therapy with the median duration of 3 months; 31 (77.5%, 31/40) cases developed PCP in the first 6 months after glucocorticoid therapy; 34 cases had a history of glucocorticoid and immunosuppressants at the same time. None of the 50 ILD patients used drugs for PCP prophylaxis before developing PCP. The major clinical manifestations of PCP secondary to ILD were worse cough and shortness of breath or fever. Laboratory results showed 38 cases (76.0%) had peripheral blood total lymphocyte count <200/μL, 27 cases (54.0%) had CD4+ T cell count <200/μL, 34 cases (68.0%) had CD4+ T cell count <300/μL, 37 cases (74.0%) had CD3+ T cell count <750/μL, 34 cases (68.0%) had β-D-glucan test >200 pg/mL, 35 cases (70.0%) had lactic dehydrogenase > 350 U/L and 41 cases (82.0%) had type Ⅰ respiratory failure. High resolution computed tomography showed added ground-glass opacity and consolidation on the basis of the original ILD. Thirty-six cases were detected the Pneumocystis jirovecii by metagenomic next-generation sequencing with broncho-alveolar lavage fluid as the main source, and 2 cases by smear microscopy. All patients were treated with trimethoprim-sulfamethoxazole. After treatment, 29 cases were discharged with a better health condition, 10 cased died, and 11 cases left hospital voluntarily because of treatment failure or disease deterioration. Conclusions After the use of glucocorticoid and immunosuppressants, ILD patients are susceptible to life-threatening PCP. It is particularly important to make an early diagnosis. Attention should be paid to integrate the symptoms, levels of peripheral blood lymphocyte count, β-D-glucan test, lactic dehydrogenase and imaging findings to make an overall consideration. It is suggested to perform next-generation sequencing with broncho-alveolar lavage fluid at an early stage when patients can tolerate fiberoptic bronchoscopy to avoid misdiagnosis and missed diagnosis. ILD patients often develop PCP in the first 6 months after using glucocorticoid and immunosuppressants. During follow-up, peripheral blood CD4+ and CD3+ T cell count should regularly be monitored so as to timely prevent PCP.
The morbidity and mortality of pulmonary infection are high among infectious diseases worldwide. Rapid and accurate etiological diagnosis is the key to timely and effective treatment. Metagenomic next-generation sequencing (mNGS) technology has brokenthrough the limitations of traditional pathogenic microorganism detection methods and improved the detection rate of pathogens. In this paper, the application and advantages of mNGS technology in the diagnosis of bacteria, fungi, viruses and mixed infections in the lungs are analyzed, and the challenges and breakthroughs in RNA detection, wall breaking of firmicutes and host DNA clearance are described, in order to achieve targeted and accurate etiological diagnosis through mNGS, so as to effectively treat pulmonary infections.
In recent years, due to the extensive usage of immunosuppressant and the rise of patients with cancers and organ transplantation, the incidence rate of invasive fungal infection, especially invasive pulmonary fungal infection, has increased. Besides the clinical manifestations, medical history and imaging, the diagnosis of pulmonary mycosis mainly depends on pathogen detection methods in clinical microbiology laboratory. However, due to the difficulty in fungi culturing and the low sensitivity of smear microscopy, better molecular biology methods are needed. To date, the emergence of metagenomic next-generation sequencing (mNGS) has improved the identification rate of pulmonary fungal infections. mNGS is significantly superior to traditional detection methods in rapid, accurate, and comprehensive determination of fungi from various clinical specimens, especially atypical fungi. However, some problems in mNGS method have to be addressed including sample collection, report interpretation, and its combination with traditional microbiology methods. With the in-depth discussion and solution of the above problems, mNGS will be indispensable to the etiological diagnosis of pulmonary invasive fungal infection.
