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Serum microRNA expression profile as a biomarker for the diagnosis of pertussis

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Abstract

Pertussis is a highly contagious, respiratory disease associated with substantial morbidity and mortality. A rapid and reliable diagnostic method is essential for appropriate treatment and prevention. Expression profiles of circulating microRNAs (miRNAs) have been proven as new non-invasive biomarkers for infectious diseases. We aimed to investigated the serum miRNA profile in pertussis patients and explored its potential as a novel diagnostic biomarker for pertussis. Among 664 different miRNAs analyzed using a miRNA array, 50 were overexpressed and 81 were underexpressed in the serum of pertussis patients. Expression levels of seven candidate miRNAs were further evaluated by real-time qRT-PCR. A panel of five miRNAs (miR-202, miR-342-5p, miR-206, miR-487b, miR-576-5p) was confirmed overexpressed in pertussis patients (p < 0.05). Risk score and receiver-operating characteristic (ROC) analysis showed that the area under the curve of the five-member miRNA profile was 0.980. At an optimal cutoff value (0.707), this panel of miRNAs yielded a sensitivity of 97.4 % and a specificity of 94.3 %. These data suggest that the five-member serum miRNA profile may serve as a new biomarker for pertussis diagnosis with high specificity and sensitivity.

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Acknowledgments

This study was supported by the National Natural Science Foundation of China (30901285), the Jiangsu Province Key Medical Talent Foundation (RC2011191, RC2011084), the Science and Technology Pillar program of Jiangsu Province (BE2011796), the Key Medical Talent Foundation of Jiangsu Provincial Center for Disease Prevention and Control (JKRC2011001) and the “333” Projects of Jiangsu Province.

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Authors and Affiliations

  1. Institute of Pathogen Microbiology, Jiangsu Provincial Center for Disease Prevention and Control, Key Laboratories of Enteric Pathogenic Microbiology, Ministry of Health, Nanjing, 210009, China

    Yiyue Ge, Kangchen Zhao, Yuhua Qi, Zhiyang Shi, Xian Qi, Yunfeng Shan, Lan Cui, Minghao Zhou, Hua Wang & Lunbiao Cui

  2. Department of Pathogen Biology, Nanjing Medical University, Nanjing, 210029, China

    Yiyue Ge & Yong Wang

  3. Department of Geriatrics, The First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, China

    Xiaoyan Min

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  1. Yiyue Ge
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  2. Kangchen Zhao
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  3. Yuhua Qi
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  4. Xiaoyan Min
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  5. Zhiyang Shi
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  12. Lunbiao Cui
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Correspondence to Lunbiao Cui.

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Y. Ge and K. Zhao contributed equally to this study.

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Ge, Y., Zhao, K., Qi, Y. et al. Serum microRNA expression profile as a biomarker for the diagnosis of pertussis . Mol Biol Rep 40, 1325–1332 (2013). https://doi.org/10.1007/s11033-012-2176-9

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