Objective: This study aims to evaluate the utility of targeted next-generation sequencing (tNGS) in bronchoalveolar lavage fluid (BALF) for hospitalized patients with pulmonary infections.
Methods: A cohort of 358 patients who received diagnosis and treatment for respiratory infections in the department of Respiratory Medicine at Wenzhou People's hospital from January 2023 to April 2024 were selected for this study. The BALF of the patients was analyzed using tNGS, and the diagnostic efficacy of tNGS was subsequently compared with that of conventional testing methods (CTs) for pathogen detection.
Results: Through the analysis of tNGS from the cohort, the pathogen detection rate in BALF using tNGS was significantly higher than that of CTs (90.22% VS 57.26%, =0.001). Among them, (6.15%), (2.51%), (1.96%), (1.40%), (1.96%), (0.56%), (0.28%) were detected using tNGS alone, and the CTs results of these microorganisms were all negative. Among the various types of mixed infections observed, concurrent presence of bacteria and viruses was the most common, accounting for 37.15%. The detection rates of tNGS and CTs have statistical significance (66.87% VS 35.12%, =0.001). Furthermore, a total of 61 cases of antimicrobial resistance genes were detected, including 34 cases of 23S rRNA A2063G, 6 cases of KPC, 5 cases of OXA, 2 cases of CTX-M, 3 cases of IMP, 1 case of NDM and 13 cases of mecA. Using the clinical diagnosis as references, the positive coincidence rate of the tNGS was significantly higher compared to that of the CTs (=0.012).
Conclusion: Compared to CTs, the application of tNGS enables the identification of a greater diversity of organisms and exhibits superior accuracy, effectively identifying pathogens that are undetectable by CTs, especially fastidious and atypical organisms. Consequently, it holds immense potential in pathogen diagnosis and offers valuable clinical guidance for patients with pulmonary infections.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11784358 | PMC |
http://dx.doi.org/10.2147/IDR.S499265 | DOI Listing |
J Infect
March 2025
Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China; Guangzhou National Laboratory, XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou 510005, Guangdong Province, China. Electronic address:
Background: Urinary tract infections (UTIs) rank among the most prevalent bacterial infections globally. Traditional urine culture methods have significant limitations in detection time and sensitivity, prompting the need to evaluate targeted next-generation sequencing (tNGS) as a potential diagnostic tool.
Methods: The study included a discovery cohort of 400 suspected UTI patients (202 analyzed) and a validation cohort of 200 patients (110 analyzed).
Front Cell Infect Microbiol
March 2025
Department of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Background: Cancer patients are highly susceptible to infections due to their immunocompromised state from both the malignancy and intensive treatments. Accurate and timely identification of causative pathogens is crucial for effective management and treatment. Targeted next-generation sequencing (tNGS) has become an important tool in clinical infectious disease diagnosis because of its broad microbial detection range and acceptable cost.
View Article and Find Full Text PDFNat Commun
March 2025
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Rapid genotype-based drug susceptibility testing for the Mycobacterium tuberculosis complex (MTBC) relies on a comprehensive knowledgebase of the genetic determinants of resistance. Here we present a catalogue of resistance-associated mutations using a regression-based approach and benchmark it against the 2nd edition of the World Health Organisation (WHO) mutation catalogue. We train multivariate logistic regression models on over 52,000 MTBC isolates to associate binary resistance phenotypes for 15 antitubercular drugs with variants extracted from candidate resistance genes.
View Article and Find Full Text PDFPathogens
February 2025
Department of Clinical Laboratory, Center for Laboratory Medicine, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou 570206, China.
Background: During the COVID-19 pandemic, we continuously monitored the epidemiology of influenza virus among pediatric patients from January 2021 to December 2023 in Hainan Island, China.
Methods: In this study, we collected 54,974 nasopharyngeal swab samples for influenza A Virus (IAV) testing and 53,151 samples for influenza B Virus (IBV) testing from pediatric outpatients. Additionally, we also collected 19,687 nasopharyngeal swab samples from pediatric inpatients for IAV and IBV testing.
Microbiol Spectr
February 2025
Medical Science Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Unlabelled: Human bocavirus-1 (HBoV1) is an emerging viral pathogen associated with acute respiratory tract infections (ARTIs) in pediatric populations. This study aimed to evaluate the infection status and clinical characteristics of HBoV1 among hospitalized children suffering from ARTIs. A cohort of 5,021 pediatric patients with respiratory infections was analyzed using targeted next-generation sequencing to identify HBoV1 and other co-existing respiratory pathogens.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!