Exploring the mechanism of luteolin improving immune and inflammatory responses in systemic sclerosis based on systems biology and cell experiments.
Autor: | Ding X; First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230031, PR China; Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China., Liu J; Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China; Institute of Rheumatology, Anhui University of Chinese Medicine, Hefei, Anhui 230012, PR China. Electronic address: liujianahzy@126.com., Chen X; First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230031, PR China; Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China., Zhang XH; First Clinical Medical College, Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230031, PR China; Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Shushan, Hefei, Anhui 230038, PR China. |
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Jazyk: | angličtina |
Zdroj: | International immunopharmacology [Int Immunopharmacol] 2024 Sep 10; Vol. 138, pp. 112587. Date of Electronic Publication: 2024 Jul 06. |
DOI: | 10.1016/j.intimp.2024.112587 |
Abstrakt: | There is a growing trend of applying traditional Chinese medicine (TCM) to treat immune diseases. This study reveals the possible mechanism of luteolin, an active ingredient in the core prescription of TCM, in alleviating systemic sclerosis (SSc) inflammation. Bibliometrics was performed to retrieve the core keywords of SSc inflammation. The key inflammatory indicators in the serum samples of 50 SSc patients were detected by ELISA. Data mining was applied for correlation analysis, association rule analysis, and binary logistic regression analysis on the clinical indicators and medication of 50 SSc patients before and after treatment to determine the core prescription. Network pharmacology was used for identifying candidate genes and pathways; molecular docking was conducted to determine the core monomer components of the prescription, providing a basis for subsequent in vitro molecular mechanism research. The effect of luteolin on SSc-human dermal fibroblasts (HDF) viability and inflammatory factors was evaluated by means of ELISA, RT-PCR, and Western blot. The role of TNF in inflammation was explored by using a TNF overexpression vector, NF-κB inhibitor (PKM2), and SSc-HDF. The involvement of TNF/NF-κB pathway was validated by RT-PCR, Western blot, and immunofluorescence. TCM treatment partially corrected the inflammatory changes in SSc patients, indicating its anti-inflammatory effects in the body. Atractylodes, Yam, Astragalus root, Poria cocos, Pinellia ternata, Salvia miltiorrhiza, Safflower, Cassia twig, and Angelica were identified as the core prescriptions for improving inflammatory indicators. Luteolin was the main active ingredient in the prescription and showed a strong binding energy with TNF and NF-κB. Luteolin exerted anti-inflammatory effects in vitro by reducing inflammatory cytokines in SSc-HDF and inhibiting the activation of TNF/NF-κB. Mechanistically, luteolin inhibited the activation of the TNF/NF-κB pathway in SSc-HDF, as manifested by an increase in extranuclear p-P65 and TNF but a decrease in intranuclear p-P65. Interestingly, the addition of PKM2 augmented the therapeutic function of luteolin against inflammation in SSc-HDF. Our study showed the TCM alleviates the inflammatory response of SSc by inhibiting the activation of the TNF/NF-κB pathway and is an effective therapeutic agent for the treatment of SSc. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier B.V. All rights reserved.) |
Databáze: | MEDLINE |
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