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已发表论文
基于脂质组学的结核病合并冠状动脉疾病血浆脂质生物标志物鉴定
Authors Zhao W, Yan P, Pei Y, Xia Y, Zhu Y, Lei M, Shi L, Ma X, Pan J, Deng P, Leng Y
Received 6 August 2025
Accepted for publication 8 December 2025
Published 12 December 2025 Volume 2025:18 Pages 6577—6590
DOI https://doi.org/10.2147/IDR.S558880
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Hazrat Bilal
Wenjing Zhao,1,* Pan Yan,2,* Yi Pei,3,4,* Ying Xia,3 Yongfeng Zhu,3 Ming Lei,3 Li Shi,3 Xiaohua Ma,5 Jianhua Pan,5 Ping Deng,1 Yiping Leng6,7
1The Affiliated Changsha Central Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 2The Affiliated Changsha Central Hospital, Department of Pharmacy, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 3The Affiliated Changsha Central Hospital, Center of Tuberculosis Diagnosis and Treatment, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 4Technology Demonstration Base for Tuberculosis Diagnosis and Treatment in Hunan Province, Changsha, Hunan, People’s Republic of China; 5The Affiliated Changsha Central Hospital, Department of Laboratory Medicine, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 6The Affiliated Changsha Central Hospital, Changsha Tuberculosis Research Institute, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 7Changsha Technology Innovation Center for Tuberculosis Diagnosis and Treatment, Changsha, Hunan, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yiping Leng; Ping Deng, Email lyp0626@aliyun.com; pamelad2115@163.com
Background: Cardiovascular disease represents the leading cause of mortality among tuberculosis (TB) patients. Both patients with tuberculosis or coronary artery disease (CAD) commonly exhibit lipid metabolism disorders. This study aims to identify specific lipids to enable early diagnosis of tuberculosis-coronary artery disease comorbidity (TB-CAD).
Methods: Blood samples were collected from hospitalized patients with TB, TB-CAD, or CAD, as well as normal healthy controls (NC), at the affiliated Changsha Central Hospital of University of South China between April 2024 and February 2025. A broad-targeted lipidomics approach based on ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to identify differential lipids.
Results: The K-Means analysis showed sphingolipid, glycerolipid, and glycerophospholipid levels were decreased in patients with TB-CAD. A total of 49 differential lipids were identified to distinguish TB-CAD from the other groups. The results of receiver operating characteristic curve analysis revealed three lipids such as CE(20:0), PC(14:0_20:4) and CE(18:0) as potential biomarkers for early diagnosis of TB-CAD. The integrated diagnostic model comprising these three lipids demonstrated favorable performance, achieving AUC, sensitivity, and specificity values of 0.834, 0.900, and 0.622, respectively. KEGG analysis showed the metabolism of linoleic acid, alpha-linolenic acid, and arachidonic acid were considered pathways related to tuberculosis-coronary artery disease comorbidity.
Conclusion: This study not only identified potential biomarkers for TB-CAD diagnosis but also provided a foundation for in-depth exploration of the pathogenesis underlying tuberculosis-coronary artery disease comorbidity.
Keywords: tuberculosis-coronary artery disease comorbidity, tuberculosis, coronary artery disease, lipidomics, differential lipid
1The Affiliated Changsha Central Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 2The Affiliated Changsha Central Hospital, Department of Pharmacy, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 3The Affiliated Changsha Central Hospital, Center of Tuberculosis Diagnosis and Treatment, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 4Technology Demonstration Base for Tuberculosis Diagnosis and Treatment in Hunan Province, Changsha, Hunan, People’s Republic of China; 5The Affiliated Changsha Central Hospital, Department of Laboratory Medicine, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 6The Affiliated Changsha Central Hospital, Changsha Tuberculosis Research Institute, Hengyang Medical School, University of South China, Changsha, Hunan, People’s Republic of China; 7Changsha Technology Innovation Center for Tuberculosis Diagnosis and Treatment, Changsha, Hunan, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yiping Leng; Ping Deng, Email lyp0626@aliyun.com; pamelad2115@163.com
Background: Cardiovascular disease represents the leading cause of mortality among tuberculosis (TB) patients. Both patients with tuberculosis or coronary artery disease (CAD) commonly exhibit lipid metabolism disorders. This study aims to identify specific lipids to enable early diagnosis of tuberculosis-coronary artery disease comorbidity (TB-CAD).
Methods: Blood samples were collected from hospitalized patients with TB, TB-CAD, or CAD, as well as normal healthy controls (NC), at the affiliated Changsha Central Hospital of University of South China between April 2024 and February 2025. A broad-targeted lipidomics approach based on ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to identify differential lipids.
Results: The K-Means analysis showed sphingolipid, glycerolipid, and glycerophospholipid levels were decreased in patients with TB-CAD. A total of 49 differential lipids were identified to distinguish TB-CAD from the other groups. The results of receiver operating characteristic curve analysis revealed three lipids such as CE(20:0), PC(14:0_20:4) and CE(18:0) as potential biomarkers for early diagnosis of TB-CAD. The integrated diagnostic model comprising these three lipids demonstrated favorable performance, achieving AUC, sensitivity, and specificity values of 0.834, 0.900, and 0.622, respectively. KEGG analysis showed the metabolism of linoleic acid, alpha-linolenic acid, and arachidonic acid were considered pathways related to tuberculosis-coronary artery disease comorbidity.
Conclusion: This study not only identified potential biomarkers for TB-CAD diagnosis but also provided a foundation for in-depth exploration of the pathogenesis underlying tuberculosis-coronary artery disease comorbidity.
Keywords: tuberculosis-coronary artery disease comorbidity, tuberculosis, coronary artery disease, lipidomics, differential lipid