Back to Journals » Journal of Inflammation Research » Volume 14

Susceptibility-Related Cytokine Panel for Prediction of Polygonum multiflorum-Induced Hepatotoxicity in Humans

Authors Tu C, Niu M, Wei AW, Tang JF, Zhang L, Jing J, Xiao XH, Wang JB

Received 5 January 2021

Accepted for publication 13 February 2021

Published 4 March 2021 Volume 2021:14 Pages 645—655

DOI https://doi.org/10.2147/JIR.S299892

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Professor Ning Quan


Can Tu,1,2 Ming Niu,2 Ai-Wu Wei,3 Jin-Fa Tang,3 Le Zhang,2 Jing Jing,2 Xiao-He Xiao,2 Jia-Bo Wang2,4

1Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, People’s Republic of China; 2China Military Institute of Chinese Medicine, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100039, People’s Republic of China; 3The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, People’s Republic of China; 4School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, People’s Republic of China

Correspondence: Jia-Bo Wang
School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, People’s Republic of China
Email [email protected]
Xiao-He Xiao
China Military Institute of Chinese Medicine, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100039, People’s Republic of China
Email [email protected]

Background: Drug-induced liver injury is a common adverse effect in clinical practice, with severe cases resulting in liver failure and even death. Identification and prediction of individuals susceptible to idiosyncratic DILI continues to remain a challenge.
Methods: In this study, we report that cytokines in human serum can be used to identify and predict individuals susceptible to Polygonum multiflorum-induced DILI (PM-DILI) in retrospective and prospective cohort studies.
Findings: In the retrospective pilot study, we compared serum cytokine expression profiles of the PM-DILI group (n=10) and the PM-Tolerant group (n=12) and found 10 cytokines with significant differences. In the replication cohort study, differences in the 10 cytokines between PM-DILI (n =11) and PM-Tolerant (n=13) groups were verified. Among them, 6 cytokines showed no significant differences at two time points, including liver injury and recovery stage of PM-DILI, suggesting that these 6 cytokines have no correlation with PM-DILI, however, they may be related to susceptibility. Furthermore, all the retrospective cohorts were combined, and a PM-DILI susceptibility prediction model was built by screening the 6 cytokines. The combination of (TNF-α and CCL-2) or VEGF showed the highest sensitivity and specificity. Finally, the efficacy of the above 3 cytokine combination models in predicting PM-DILI-susceptible individuals was verified before PM exposure in another independent prospective cohort (n=24), with sensitivity and specificity of 66.7% and 83.3%, respectively.
Conclusion: This proof-of-concept study demonstrates that the serum cytokine combination reflecting dysimmunity could be used as a new method to predict PM-DILI, thus providing a new perspective for improving the clinical management of IDILI.

Keywords: drug-induced liver injury, Polygonum multiflorum, cytokine, prediction, susceptible individual

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]  View Full Text [HTML][Machine readable]