دورية أكاديمية

Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report

التفاصيل البيبلوغرافية
العنوان: Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report
المؤلفون: Ziqian Qin, Yiwu Zou, Zehe Huang, Ning Yu, Zhenfeng Deng, Zhencheng Chen, Yuanli Wang
المصدر: Annals of Clinical Microbiology and Antimicrobials, Vol 21, Iss 1, Pp 1-7 (2022)
بيانات النشر: BMC, 2022.
سنة النشر: 2022
المجموعة: LCC:Therapeutics. Pharmacology
LCC:Infectious and parasitic diseases
LCC:Microbiology
مصطلحات موضوعية: Metagenomic next-generation sequencing, Pulmonary cryptococcosis, Bacterial pneumonia, Mixed pulmonary infection, Diagnosis, Therapeutics. Pharmacology, RM1-950, Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502
الوصف: Abstract Background Pulmonary 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. Conclusions Here, 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1476-0711
Relation: https://doaj.org/toc/1476-0711
DOI: 10.1186/s12941-022-00545-z
URL الوصول: https://doaj.org/article/7019ca562f7d48ce90483d153cfa8913
رقم الأكسشن: edsdoj.7019ca562f7d48ce90483d153cfa8913
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14760711
DOI:10.1186/s12941-022-00545-z