Potential Clinical Value of Biomarker-Guided Emergency Triage for Thoracic Aortic Dissection.
Potential Clinical Value of Biomarker-Guided Emergency Triage for Thoracic Aortic Dissection.
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生物标志物引导的胸主动脉夹层急诊分诊的潜在临床价值
DOI：
10.3389/fcvm.2021.777327
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发表时间：
2021
影响因子：
3.6
通讯作者：
Lu X
中科院分区：
文献类型：
--
作者：
Qiu P;Yang M;Pu H;Hou J;Chen X;Wu Z;Huang Q;Huang S;Fu Y;Wen Z;Zhang C;Zha B;Yang Y;Xu Z;Chen F;Lu X
目的：胸主动脉夹层（Thoracic aortic dissection，TAD）是一种高危血管疾病。未处理的TADs在24 h内的死亡率高达50%。因此，在急诊室快速诊断出急性胰腺炎将使患者获得正确的治疗以挽救他们的生命。方法：采用无标记定量蛋白质组学方法，对冠心病患者主动脉组织蛋白质组进行分析。筛选差异表达蛋白并进行生物信息学分析。选择候选生物标志物，并使用酶联免疫吸附试验（ELISA）在独立的血清样本中进行验证。通过受试者工作特征（ROC）曲线分析进一步预测诊断价值。结果如下：在17例AMI患者和8例心肌梗死（MI）患者的主动脉组织中，共鉴定出1,141个差异表达蛋白。在20个血清样品的独立训练组中选择六种蛋白质作为ELISA的候选生物标志物（Ki = 10，MI = 10）。在这些蛋白质中，P值< 0.01的四种蛋白质通过ELISA在另一独立组的64个血清样品（MI = 32，MI = 32）中进一步验证。ITGA 2、COL 2A 1和MIF的P值< 0.0001，其曲线下面积（AUC）分别为0.801（95% CI：0.691-0.911）、0.773（95% CI：0.660-0.887）和0.701（95% CI：0.574-0.828）。结论：ITGA 2、COL 2A 1和MIF是鉴别急性胸痛患者的有效生物标志物。生物标志物引导的急诊分诊可以进一步缩短患者获得更有效治疗的时间。
Aim: Thoracic aortic dissection (TAD) is a high-risk vascular disease. The mortality rate of untreated TADs in 24 h was as high as 50%. Thus, rapid diagnosis of TAD in the emergency department would get patients to the right treatments to save their lives. Methods: We profiled the proteome of aortic tissues from TAD patients using a label-free quantification proteomics method. The differentially expressed proteins were screened and subjected to bioinformatics analysis. Candidate biomarkers were selected and validated in independent serum samples using enzyme-linked immunosorbent assays (ELISAs). The diagnostic values were further predicted via receiver operating characteristic (ROC) curve analysis. Results: A total of 1,141 differentially expressed proteins were identified in aortic tissues from 17 TAD patients and eight myocardial infarction (MI) patients. Six proteins were selected as candidate biomarkers for ELISAs in an independent training set of 20 serum samples (TAD = 10, MI = 10). Of these proteins, four with a P-value < 0.01 were further validated in another independent set of 64 serum samples (TAD = 32, MI = 32) via ELISAs. ITGA2, COL2A1, and MIF had P-values < 0.0001, and their areas under the curve (AUCs) were 0.801 (95% CI: 0.691–0.911), 0.773 (95% CI: 0.660–0.887), and 0.701 (95% CI: 0.574–0.828), respectively. Conclusion: ITGA2, COL2A1, and MIF were identified as promising biomarkers for discriminating TAD from emergency patients with severe chest pain. Biomarker-guided emergency triage could further shorten the time for patients to get more effective treatments.
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影响因子：
64.8
作者：
Kim, Min-Sik;Pinto, Sneha M.;Getnet, Derese;Nirujogi, Raja Sekhar;Manda, Srikanth S.;Chaerkady, Raghothama;Madugundu, Anil K.;Kelkar, Dhanashree S.;Isserlin, Ruth;Jain, Shobhit;Thomas, Joji K.;Muthusamy, Babylakshmi;Leal-Rojas, Pamela;Kumar, Praveen;Sahasrabuddhe, Nandini A.;Balakrishnan, Lavanya;Advani, Jayshree;George, Bijesh;Renuse, Santosh;Selvan, Lakshmi Dhevi N.;Patil, Arun H.;Nanjappa, Vishalakshi;Radhakrishnan, Aneesha;Prasad, Samarjeet;Subbannayya, Tejaswini;Raju, Rajesh;Kumar, Manish;Sreenivasamurthy, Sreelakshmi K.;Marimuthu, Arivusudar;Sathe, Gajanan J.;Chavan, Sandip;Datta, Keshava K.;Subbannayya, Yashwanth;Sahu, Apeksha;Yelamanchi, Soujanya D.;Jayaram, Savita;Rajagopalan, Pavithra;Sharma, Jyoti;Murthy, Krishna R.;Syed, Nazia;Goel, Renu;Khan, Aafaque A.;Ahmad, Sartaj;Dey, Gourav;Mudgal, Keshav;Chatterjee, Aditi;Huang, Tai-Chung;Zhong, Jun;Wu, Xinyan;Shaw, Patrick G.;Freed, Donald;Zahari, Muhammad S.;Mukherjee, Kanchan K.;Shankar, Subramanian;Mahadevan, Anita;Lam, Henry;Mitchell, Christopher J.;Shankar, Susarla Krishna;Satishchandra, Parthasarathy;Schroeder, John T.;Sirdeshmukh, Ravi;Maitra, Anirban;Leach, Steven D.;Drake, Charles G.;Halushka, Marc K.;Prasad, T. S. Keshava;Hruban, Ralph H.;Kerr, Candace L.;Bader, Gary D.;Iacobuzio-Donahue, Christine A.;Gowda, Harsha;Pandey, Akhilesh
通讯作者：
Pandey, Akhilesh
退化的胶原蛋白片段可促进平滑肌局灶性粘附的快速拆卸，与PP125（FAK），Paxillin和Talin的切割相关。
影响因子：
7.8
作者：
Carragher, N O;Levkau, B;Ross, R;Raines, E W
通讯作者：
Raines, E W
影响因子：
14.9
作者：
The Gene Ontology Consortium
通讯作者：
The Gene Ontology Consortium
影响因子：
14.9
作者：
Kanehisa M;Araki M;Goto S;Hattori M;Hirakawa M;Itoh M;Katayama T;Kawashima S;Okuda S;Tokimatsu T;Yamanishi Y
通讯作者：
Yamanishi Y
影响因子：
3.3
作者：
Borges, Luciano de Figueiredo;Jaldin, Rodrigo Gibin;Gutierrez, Paulo Sampaio
通讯作者：
Gutierrez, Paulo Sampaio