ArticleAnnals of clinical microbiology and antimicrobials2022
Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report.
Article in Annals of clinical microbiology and antimicrobials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- Next-generation sequencing in the etiological diagnosis of severe childhood pneumonia.Frontiers in pediatrics · 2026Review
- Pathogen spectrum of pulmonary infections in kidney transplant recipients and the diagnostic value of mNGS: a sputum and BALF study based on clinical decision-making.Frontiers in cellular and infection microbiology · 2026Article
- Comparison of mNGS microbial detection profiles between percutaneous lung aspiration biopsy and bronchoalveolar lavage fluid in infective pneumonia.Open medicine (Warsaw, Poland) · 2026Article
- Case Report: A rare presentation of pulmonary tuberculosis with extensive ground-glass opacities in an immunocompetent patient: lessons from metagenomic next-generation sequencing.Frontiers in medicine · 2026Article
- Diagnostic value of metagenomic next-generation sequencing combined by medical thoracoscopy surgery among infectious pleural effusion patients.BMC infectious diseases · 2025Article
- Metagenomic analysis identifying a polymicrobial pulmonary infection in a non-HIV immunocompromised patient: a case report.BMC pulmonary medicine · 2025Article
- Pulmonary cryptococcosis in the setting of immunosuppression by methylprednisolone monotherapy for oral pemphigus: a case report and literature review.Frontiers in medicine · 2025Article
- Article
- Rapid diagnosis of alveolar echinococcosis from lung puncture sample using metagenomic next-generation sequencing: a case report.BMC infectious diseases · 2024Article
- Lung microbiota: implications and interactions in chronic pulmonary diseases.Frontiers in cellular and infection microbiology · 2024Review
- Life-threatening pulmonary coinfection with Mycobacterium tuberculosis and Aspergillus lentulus in a diabetic patient diagnosed by metagenome next-generation sequencing.BMC infectious diseases · 2023Article
- Review
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundPulmonary cryptococcosis (PC) and mixed pulmonary infection are difficult to be diagnosed due to the non-specificity and their overlapping clinical manifestations. In terms of the clinical diagnosis of PC and mixed pulmonary infection, conventional tests have limitations such as a long detection period, a limited range of pathogens, and low sensitivity. Metagenomics next-generation sequencing (mNGS) is a nascent and powerful method that can detect pathogens without culture, to diagnose known and unexplained infections in reduced time. CASE PRESENTATION: A 43-year-old female was admitted to the hospital after suffering from a cough for one month. At the time of admission, a contrast-enhanced chest CT revealed multiple nodules and plaques in her right lung, as well as the formation of cavities. The blood routine assays showed evidently increased white blood cell count (mainly neutrophils), CRP, and ESR, which suggested she was in the infection phase. The serum CrAg-LFA test showed a positive result. Initially, she was diagnosed with an unexplained pulmonary infection. Bronchoalveolar lavage fluid (BALF) samples were collected for microbial culture, immunological tests and the mNGS. Microbial culture and immunological tests were all negative, while mNGS detected Corynebacterium striatum, Pseudomonas aeruginosa, Streptococcus pneumoniae, and Cryptococcus neoformans. The diagnosis was revised to PC and bacterial pneumonia. Lung infection lesions were healed after she received targeted anti-infection therapy with mezlocillin and fluconazole. In a follow-up after 2 months, the patient's symptoms vanished.
conclusionsHere, we demonstrated that mNGS was capable of accurately distinguishing Cryptococcus from M. tuberculosis in pulmonary infection, and notably mNGS was capable of swiftly and precisely detecting pathogens in mixed bacterial and fungal pulmonary infection. Furthermore, the results of mNGS also have the potential to adjust anti-infective therapies.
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