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Emerging Microbes & Infections Volume 10, 2021 - Issue 1
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Tuberculosis

EasyNAT MTC assay: A simple, rapid, and low-cost cross-priming amplification method for the detection of mycobacterium tuberculosis suitable for point-of-care testing

Zhuman Zhang1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Jian Du1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Tao Liu2 Department of Anesthesiology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Fen Wang1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Junnan Jia1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Lingling Dong1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Liping Zhao1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Yi Xue1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Guanglu Jiang1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaView further author information
,
Xia Yu1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1400-7321View further author information
ORCID Icon &
Hairong Huang1 National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, People’s Republic of ChinaCorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0002-4295-4262View further author information
ORCID Icon show all
Pages 1530-1535 | Received 10 Apr 2021, Accepted 19 Jul 2021, Published online: 01 Aug 2021

Figures & data

Figure 1. Cutaway view of the cartridge (sketch map) and equipment.

Figure 1. Cutaway view of the cartridge (sketch map) and equipment.

Figure 2. Recruitment and diagnostic classification of the participants.

Figure 2. Recruitment and diagnostic classification of the participants.

Table 1. Demographic and clinical characteristics of the study participants.

Figure 3. Venn diagram of the overlap between diagnostics.

Figure 3. Venn diagram of the overlap between diagnostics.

Table 2. The outcomes of different methods in testing of the 169 PTB patients.

Table 3. The detection outcomes of different methods for 169 PTB patients.

 

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