{
    "abstract": "Q fever, a global zoonosis, poses a significant challenge for public health due to its varied and nonspecific clinical presentations, making diagnosis difficult. Metagenomic next-generation sequencing (mNGS) is a potential tool for diagnosing Q fever.\nThis retrospective observational study was conducted on patients with Q fever admitted to Peking University People's Hospital, from May 2023 to November 2024. mNGS was performed using the patient's peripheral blood, and the qPCR of Coxiella burnetii was also adopted. Subsequently, the clinical data of patients diagnosed with Q fever were systematically evaluated.\nTwelve peripheral blood samples of 12 patients were detected Coxiella burnetii positive by mNGS. Most patients were male (10, 83.33\u00a0%). Fever (12, 100\u00a0%), muscle soreness (8, 66.7\u00a0%), and headache (4, 33.3\u00a0%) were the most common clinical manifestations. Specific qPCR of Coxiella burnetii was detected positive in 8 patients. Chronic Q fever was diagnosed in two patients, who had aortic valve replacement, and their immunological markers, like anti-nuclear were elevated. Once the diagnosis was clear, proper antibiotics were used, and all patients were discharged in better health.\nMetagenomic next-generation sequencing enhances the diagnosis of Q fever, especially for patients displaying atypical and various clinical symptoms and having unclear epidemiological data or histories of antibiotic use.",
    "authors": [
        {
            "affiliation": "Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.",
            "firstname": "Lingxiao",
            "initials": "L",
            "lastname": "Sun"
        },
        {
            "affiliation": "Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.",
            "firstname": "Yuyao",
            "initials": "Y",
            "lastname": "Yin"
        },
        {
            "affiliation": "Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.",
            "firstname": "Yifan",
            "initials": "Y",
            "lastname": "Guo"
        },
        {
            "affiliation": "Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.",
            "firstname": "Hongbin",
            "initials": "H",
            "lastname": "Chen"
        },
        {
            "affiliation": "Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China. Electronic address: whuibj@163.com.",
            "firstname": "Hui",
            "initials": "H",
            "lastname": "Wang"
        }
    ],
    "conclusions": "Metagenomic next-generation sequencing enhances the diagnosis of Q fever, especially for patients displaying atypical and various clinical symptoms and having unclear epidemiological data or histories of antibiotic use.",
    "copyrights": "Copyright \u00a9 2025. Published by Elsevier Ltd.",
    "doi": "10.1016/j.tmaid.2025.102845",
    "journal": "Travel medicine and infectious disease",
    "keywords": [
        "Coxiella burnetii",
        "Diagnosis",
        "Metagenomic next-generation sequencing (mNGS)",
        "Q fever",
        "qPCR"
    ],
    "methods": null,
    "publication_date": "2025-04-02",
    "pubmed_id": "40169073",
    "results": "Twelve peripheral blood samples of 12 patients were detected Coxiella burnetii positive by mNGS. Most patients were male (10, 83.33\u00a0%). Fever (12, 100\u00a0%), muscle soreness (8, 66.7\u00a0%), and headache (4, 33.3\u00a0%) were the most common clinical manifestations. Specific qPCR of Coxiella burnetii was detected positive in 8 patients. Chronic Q fever was diagnosed in two patients, who had aortic valve replacement, and their immunological markers, like anti-nuclear were elevated. Once the diagnosis was clear, proper antibiotics were used, and all patients were discharged in better health.",
    "title": "Metagenomic next-generation sequencing enhances the diagnosis of Q fever: A retrospective observational study.",
    "xml": "<Element 'PubmedArticle' at 0x7885038964d0>"
}