Temporal change in Syndecan-1 as a therapeutic target and a biomarker for the severity classification of COVID-19

被引:17
作者
Ogawa, Fumihiro [1 ]
Oi, Yasufumi [1 ]
Nakajima, Kento [1 ]
Matsumura, Reo [1 ]
Nakagawa, Tomoki [1 ]
Miyagawa, Takao [1 ]
Sakai, Kazuya [1 ]
Saji, Ryo [1 ]
Taniguchi, Hayato [1 ]
Takahashi, Kohei [1 ]
Abe, Takeru [1 ]
Iwashita, Masayuki [1 ]
Nishii, Mototsugu [1 ]
Takeuchi, Ichiro [1 ]
机构
[1] Yokohama City Univ, Sch Med, Dept Emergency Med, Kanazawa Ku, 3-9 Fukuura, Yokohama, Kanagawa 2360004, Japan
关键词
COVID-19; Syndecan-1; Endothelial injury; Glycocalyx; Severity; Classification; ENDOTHELIAL GLYCOCALYX;
D O I
10.1186/s12959-021-00308-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Coronavirus disease 2019 (COVID-19) pneumonitis associated with severe respiratory failure is associated with high mortality. The pathogenesis of COVID-19 is associated with microembolism or microvascular endothelial injuries. Here, we report that syndecan-1 (SDC-1), a component of the endothelial glycocalyx, may be a biomarker of severity classification for COVID-19 related to endothelial injury. Methods and analysis We analyzed the data of COVID-19 patients for 1 year from February 2020 at Yokohama City University Hospital and Yokohama City University Medical Center Hospital. We selected COVID-19 patients who required admission care, including intensive care, and analyzed the classification of severe and critical COVID-19 retrospectively, using various clinical data and laboratory data with SDC-1 by ELISA. Results We analyzed clinical and laboratory data with SDC-1 in five severe COVID-19 and ten critical COVID-19 patients. In the two groups, their backgrounds were almost the same. In laboratory data, the LDH, CHE, and CRP levels showed significant differences in each group (P = 0.032, P < 0.0001, and P = 0.007, respectively) with no significant differences in coagulation-related factors (platelet, PT-INR, d-dimer, ISTH score; P = 0.200, 0.277, 0.655, and 0.36, respectively). For the clinical data, the SOFA score was significantly different from admission day to day 14 of admission (p < 0.0001). The SDC-1 levels of critical COVID-19 patients were significantly higher on admission day and all-time course compared with the levels of severe COVID-19 patients (P = 0.009 and P < 0.0001, respectively). Conclusions Temporal change of SDC-1 levels closely reflect the severity of COVID-19, therefore, SDC-1 may be a therapeutic target and a biomarker for the severity classification of Covid-19.
引用
收藏
页数:9
相关论文
共 50 条
[31]   Biomarker Profiles Associated with COVID-19 Severity and Mortality [J].
Sanchez-Diez, Silvia ;
Gomez-Olles, Carlos ;
Cruz, Maria-Jesus ;
de Homdedeu, Miquel ;
Espejo, David ;
Ferrer, Jaume ;
Roca, Oriol ;
Pacheco, Andres ;
Munoz, Xavier .
CURRENT ISSUES IN MOLECULAR BIOLOGY, 2023, 45 (03) :1998-2012
[32]   Training Strategies for Covid-19 Severity Classification [J].
Pordeus, Daniel ;
Ribeiro, Pedro ;
Zacarias, Laila ;
de Oliveira, Adriel ;
Marques, Joao Alexandre Lobo ;
Rodrigues, Pedro Miguel ;
Leite, Camila ;
Neto, Manoel Alves ;
Peixoto, Arnaldo Aires, Jr. ;
do Vale Madeiro, Joao Paulo .
BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2023, PT I, 2023, 13919 :514-527
[33]   Is hemolysis a novel therapeutic target in COVID-19? [J].
Ousaka, Daiki ;
Nishibori, Masahiro .
FRONTIERS IN IMMUNOLOGY, 2022, 13
[34]   Sensecor: A framework for COVID-19 variants severity classification and symptoms detection [J].
Balaji, T. K. ;
Bablani, Annushree ;
Sreeja, S. R. ;
Misra, Hemant .
EVOLVING SYSTEMS, 2024, 15 (01) :65-82
[35]   Biomarker of severity in hospitalised patients with COVID-19: a retrospective study [J].
Qian, Fen-Hong ;
Liu, Yu-Xue ;
Cao, Yu ;
Huang, Jing ;
Zhu, Rong-Hao .
BMJ OPEN, 2024, 14 (07) :1-7
[36]   The novel biomarker, neopterin, can predict the severity of COVID-19 [J].
Karacaer, C. ;
Yaylaci, S. ;
Issever, K. ;
Sert, H. ;
Suner, K. O. ;
Cokluk, E. ;
Nalbant, A. ;
Demirci, T. ;
Varim, C. ;
Kaya, T. .
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2022, 26 (15) :5568-5573
[37]   ?' fibrinogen levels as a biomarker of COVID-19 respiratory disease severity [J].
Kornblith, Lucy Z. ;
Sadhanandhan, Bindhya ;
Arun, Sreepriya ;
Long, Rebecca ;
Johnson, Alicia J. ;
Noll, Jamie ;
Ramchand, C. N. ;
Olynyk, John K. ;
Farrell, David H. .
BLOOD CELLS MOLECULES AND DISEASES, 2023, 101
[38]   Correlating COVID-19 severity with biomarker profiles and patient prognosis [J].
Danielle, R. C. S. ;
Debora, D. M. ;
Alessandra, N. L. P. ;
Alexia, S. S. Z. ;
Debora, M. C. R. ;
Elizabel, N. V. ;
Felipe, A. M. ;
Giulia, M. G. ;
Henrique, P. R. ;
Karen, R. M. B. ;
Layane, S. B. ;
Leandro, A. B. ;
Livia, C. M. ;
Raquel, S. R. T. ;
Lorena, S. C. A. ;
Lyvia, N. R. A. ;
Mariana, T. R. ;
Matheus, C. C. ;
Vinicius, D. P. V. ;
Yasmin, M. G. ;
Iuri, D. L. .
SCIENTIFIC REPORTS, 2024, 14 (01)
[39]   Presepsin as a Predictive Biomarker of Severity in COVID-19: A Systematic Review [J].
Ahmed, Sibtain ;
Mansoor, Maheen ;
Shaikh, Muhammad S. ;
Siddiqui, Imran .
INDIAN JOURNAL OF CRITICAL CARE MEDICINE, 2021, 25 (09) :1051-1054
[40]   sTREM-1 as a Predictive Biomarker for Disease Severity and Prognosis in COVID-19 Patients [J].
Geng, Nan ;
Wu, Zhipeng ;
Liu, Zhao ;
Pan, Wen ;
Zhu, Yueke ;
Shi, Hongbo ;
Han, Ying ;
Ma, Yingmin ;
Liu, Bo .
JOURNAL OF INFLAMMATION RESEARCH, 2024, 17 :3879-3891