ArticleFrontiers in cellular and infection microbiology2022
The Application Value of Metagenomic and Whole-Genome Capture Next-Generation Sequencing in the Diagnosis and Epidemiological Analysis of Psittacosis.
Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Gestational psittacosis: a systematic review of clinical manifestations and outcomes.BMC infectious diseases · 2026Pooled it
- Clinical features and prognostic predictors of C. Psittaci Pneumonia: a systematic review and individual patient meta-analysis.BMC pulmonary medicine · 2025Pooled it
- Rapid diagnosis ofExperimental and therapeutic medicine · 2026Article
- Application of BALF combined with tNGS for detecting Chlamydia psittaci in resource-limited areas: lessons learned from the 2025 temporally associated case series investigation.BMC infectious diseases · 2026Article
- Non-invasive management of severe chlamydia psittaci pneumonia presenting with hypoxemia and diarrhea: a case report.Frontiers in medicine · 2026Article
- Clinical Characteristics of 40 Cases ofInfection and drug resistance · 2026Article
- A case of severe psittacosis in a hemodialysis patient-the critical role of detailed medical history and next-generation sequencing.Frontiers in medicine · 2026Article
- Clinical Characteristics and Machine Learning-Based Severity Classification ofInfection and drug resistance · 2026Article
- Psittacosis pneumonia with the reversed halo sign: a case report and literature review.BMC infectious diseases · 2025Review
- A Case Report ofCase reports in infectious diseases · 2025Article
- Clinical Characteristics and Predicting Disease Severity in Chlamydia psittaci Infection Based on Metagenomic Next-Generation Sequencing.Infection and drug resistance · 2025Article
- Analysis of Clinical Characteristics and Severe Factors of 47 Cases of Psittacosis.Infection and drug resistance · 2025Article
- Spatial analysis and prediction of psittacosis in Zhejiang Province, China, 2019-2024.Frontiers in public health · 2025Article
- Pathogen-Agnostic Advanced Molecular Diagnostic Testing for Difficult-to-Diagnose Clinical Syndromes-Results of an Emerging Infections Network Survey of Frontline US Infectious Disease Clinicians, May 2023.Open forum infectious diseases · 2024Article
- Pneumonia Caused byInternational medical case reports journal · 2024Article
- Epidemiological and clinical characteristics of psittacosis among cases with complicated or atypical pulmonary infection using metagenomic next-generation sequencing: a multi-center observational study in China.Annals of clinical microbiology and antimicrobials · 2023Observational
- Gestational psittacosis causes severe pneumonia and miscarriage: A case report and literature review.Radiology case reports · 2023Article
- Case Report: Metagenomic next-generation sequencing applied in diagnosing psittacosis caused byFrontiers in cellular and infection microbiology · 2023Article
- Distribution of drug-resistant genes in alveolar lavage fluid from patients with psittacosis and traceability analysis of causative organisms.Frontiers in microbiology · 2023Article
- Clinical identification and microbiota analysis ofFrontiers in cellular and infection microbiology · 2023Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To evaluate the value of metagenomic next-generation sequencing (mNGS) for the early diagnosis of psittacosis, and to investigate its epidemiology by whole-genome capture. Methods: Twenty-one bronchoalveolar lavage fluid (BALF) and blood samples of 16 psittacosis patients from multiple centers during August 2019 to September 2021 were analyzed retrospectively. mNGS with normal datasets (10 M 75-bp single-end reads after sequencing) and larger datasets (30 M 150-bp paired-end reads after sequencing) as well as quantitative real-time polymerase chain reaction (qPCR) were used to detect the pathogen. Also, whole-genome capture of Results: mNGS successfully detected the pathogen in all 16 cases (100%), while qPCR was positive only in 5 out of 10 cases (50%), indicating a significantly higher sensitivity of mNGS than qPCR ( Conclusion: Significant advantages of mNGS with normal datasets were demonstrated in early diagnosing psittacosis. It is the first study to use whole-genome capture to analyze
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