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已发表论文
鉴定重症结核病中特定长链非编码 RNA 标志物以实现早期诊断
Authors Yao S, Ji X, Wang R, Pan L, Liu Q
Received 15 May 2025
Accepted for publication 30 August 2025
Published 16 September 2025 Volume 2025:18 Pages 4953—4964
DOI https://doi.org/10.2147/IDR.S540446
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Hemant Joshi
Siyu Yao,1,* Xiuxiu Ji,2,* Ruize Wang,1 Liping Pan,2 Qiuyue Liu1
1Department of Critical Care Medicine, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Department of Molecular Biology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Liping Pan, Department of Molecular Biology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, No.9 Beiguan Street, Tongzhou District, Beijing, 101149, People’s Republic of China, Tel/Fax +86 1089509365, Email panliping2006@163.com Qiuyue Liu, Department of intensive care unit, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, No.9 Beiguan Street, Tongzhou District, Beijing, 101149, People’s Republic of China, Tel/Fax +86 13426108188, Email liuqiuyue@bjxkyy.cn
Background: The progression of tuberculosis to severe disease is the main cause of death of tuberculosis patients. Early identification of severe tuberculosis is very important. LncRNA can be used as a potential marker in the diagnosis of tuberculosis, but there is a lack of research on lncRNA in the field of severe tuberculosis.
Methods: Peripheral blood samples of severe pulmonary tuberculosis patients, mild pulmonary tuberculosis patients and healthy controls were collected to extract peripheral blood monocytes. The RNA was then extracted and sent to the SBC human ceRNA V1.0 analysis. The results were verified by qPCR and analyzed by KEGG and GO analyses. Differentially expressed lncRNAs were measured by ROC curves.
Results: Four lncRNAs exhibited statistically distinct expression patterns in STB versus MTB groups (NR_033909: p=0.0097; lnc-MYCBPAP-2:4: p=0.0053; lnc-PRDM7-1:2: p< 0.0001; NR_033841: p=0.0279). The areas under the curve (AUC) value are respectively 0.7280(lnc-PRDM7-1:2), 0.7288(lnc-MYCBPAP-2:4), 0.6647(NR_033909) and 0.6615(NR_033841).
Conclusion: LncRNAs NR_033909, lnc-MYCBPAP-2:4, lnc-PRDM7-1:2 and NR_033841 may demonstrate diagnostic potential for differentiating severe from mild pulmonary tuberculosis cases. These results create a platform for monitoring TB progression and open new avenues for studying disease pathogenesis.
Keywords: severe tuberculosis, diagnosis, lncRNA, biomarker
1Department of Critical Care Medicine, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Department of Molecular Biology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Liping Pan, Department of Molecular Biology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, No.9 Beiguan Street, Tongzhou District, Beijing, 101149, People’s Republic of China, Tel/Fax +86 1089509365, Email panliping2006@163.com Qiuyue Liu, Department of intensive care unit, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, No.9 Beiguan Street, Tongzhou District, Beijing, 101149, People’s Republic of China, Tel/Fax +86 13426108188, Email liuqiuyue@bjxkyy.cn
Background: The progression of tuberculosis to severe disease is the main cause of death of tuberculosis patients. Early identification of severe tuberculosis is very important. LncRNA can be used as a potential marker in the diagnosis of tuberculosis, but there is a lack of research on lncRNA in the field of severe tuberculosis.
Methods: Peripheral blood samples of severe pulmonary tuberculosis patients, mild pulmonary tuberculosis patients and healthy controls were collected to extract peripheral blood monocytes. The RNA was then extracted and sent to the SBC human ceRNA V1.0 analysis. The results were verified by qPCR and analyzed by KEGG and GO analyses. Differentially expressed lncRNAs were measured by ROC curves.
Results: Four lncRNAs exhibited statistically distinct expression patterns in STB versus MTB groups (NR_033909: p=0.0097; lnc-MYCBPAP-2:4: p=0.0053; lnc-PRDM7-1:2: p< 0.0001; NR_033841: p=0.0279). The areas under the curve (AUC) value are respectively 0.7280(lnc-PRDM7-1:2), 0.7288(lnc-MYCBPAP-2:4), 0.6647(NR_033909) and 0.6615(NR_033841).
Conclusion: LncRNAs NR_033909, lnc-MYCBPAP-2:4, lnc-PRDM7-1:2 and NR_033841 may demonstrate diagnostic potential for differentiating severe from mild pulmonary tuberculosis cases. These results create a platform for monitoring TB progression and open new avenues for studying disease pathogenesis.
Keywords: severe tuberculosis, diagnosis, lncRNA, biomarker