ArticleJournal of inflammation research2021
Susceptibility-Related Cytokine Panel for Prediction of
Article in Journal of inflammation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Chinese guideline for the diagnosis and treatment of drug-induced liver injury: an update.Hepatology international · 2024Guideline
- [Chinese guideline for diagnosis and management of drug-induced liver injury (2023 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023Guideline
- [Comparison of clinical characteristics between patients with Polygonum multiflorum-induced liver injury and those with other drug-induced liver injuries].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025Article
- Therapeutic potential of natural products in ischemic stroke: targeting angiogenesis.Frontiers in pharmacology · 2025Review
- Susceptibility Factor TNF-α Synergizes withJournal of inflammation research · 2025Article
- New Insights into Herb-Induced Liver Injury.Antioxidants & redox signaling · 2023Review
- Herb-Induced Liver Injury Related toFrontiers in pharmacology · 2021Review
- Multi-Omics Integration to Reveal the Mechanism of Hepatotoxicity Induced by Dictamnine.Frontiers in cell and developmental biology · 2021Article
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDrug-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.
methodsIn this study, we report that cytokines in human serum can be used to identify and predict individuals susceptible to
findingsIn 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.
conclusionThis 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.
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