Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report.
Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report.
复制标题
宏基因组下一代测序有助于诊断混合肺部感染:病例报告。
DOI:
10.1186/s12941-022-00545-z
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发表时间:
2022-11-24
影响因子:
5.7
通讯作者:
Wang, Yuanli
中科院分区:
文献类型:
--
作者:
Qin, Ziqian;Zou, Yiwu;Huang, Zehe;Yu, Ning;Deng, Zhenfeng;Chen, Zhencheng;Wang, Yuanli
关键词:
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. 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. 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. The online version contains supplementary material available at 10.1186/s12941-022-00545-z.
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DOI:
10.1016/s0140-6736(10)61459-6
发表时间:
2011-04-09
期刊:
Lancet (London, England)
影响因子:
--
作者:
Ruuskanen O;Lahti E;Jennings LC;Murdoch DR
通讯作者:
Murdoch DR
影响因子:
3.1
作者:
Xiong, Chunlin;Lu, Jianguo;Chen, Ting;Xu, Rui
通讯作者:
Xu, Rui
DOI:
10.1177/0300060518769541
发表时间:
2018-07
期刊:
The Journal of international medical research
影响因子:
--
作者:
Deng H;Zhang J;Li J;Wang D;Pan L;Xue X
通讯作者:
Xue X
影响因子:
3.7
作者:
Pan L;Pan XH;Xu JK;Huang XQ;Qiu JK;Wang CH;Ji XB;Zhou Y;Mao MJ
通讯作者:
Mao MJ
影响因子:
8.4
作者:
Jarvis, Joseph N.;Wainwright, Helen;Meintjes, Graeme
通讯作者:
Meintjes, Graeme