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CORRECTION article

Front. Chem., 17 September 2025

Sec. Theoretical and Computational Chemistry

Volume 13 - 2025 | https://doi.org/10.3389/fchem.2025.1685169

Correction: Investigation of the mechanism of Xiaoyin Jiedu Yin in the treatment of psoriasis based on bioinformatics, machine learning

This article is a correction to:

  1. Investigation of the mechanism of Xiaoyin Jiedu Yin in the treatment of psoriasis based on bioinformatics, machine learning

    1. Read original article
Ru-Nan FangRu-Nan Fang1Yang ZhouYang Zhou2Yang ShenYang Shen1Yuan SunYuan Sun1Jian-Hong Li Jian-Hong Li1*
  • 1Department of Dermatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
  • 2Department of Endocrinology, Guang’anmen Hospital, Beijing University of Chinese Medicine, Beijing, China

A Correction on
Investigation of the mechanism of Xiaoyin Jiedu Yin in the treatment of psoriasis based on bioinformatics, machine learning

by Fang R-N, Zhou Y, Shen Y, Sun Y and Li J-H (2025). Front. Chem. 13:1623449. doi: 10.3389/fchem.2025.1623449

There was a mistake in Figure 6B as published. The β-Tubulin bands were indentified as target protein, and the AKR1B10 bands were identified as internal control. The β-Tubulin bands should serve as the internal control, while the AKR1B10 bands represent the target protein. The corrected figure appears below.

Figure 6
Panel A shows a bar graph of HaCaT cell proliferation rates with varying concentrations of XYJDY serum, indicating significant differences among groups. Panel B displays protein expression bands for AKR1B10 and β-Tubulin across different conditions. Panel C presents a bar graph of relative protein expression adjusted for β-Tubulin, comparing control, psoriasis, and XYJDY with psoriasis groups. Panel D shows a bar graph of relative AKR1B10 mRNA levels, highlighting significant differences among conditions. Statistical significance is noted with asterisks.

Figure 6. (A) CCK-8 Detection of cell proliferation rate in a psoriasis-like inflammation model of HaCaT cells after 24 24 h of intervention with XYJDY drug-containing serum; (B) Western blot analysis of AKR1B10 expression in HaCaT cells induced by IL-17A in different treatments; (C) Western blot detection of AKR1B10 expression in each group (n = 3/group); (D) RT-qPCR analysis to detect the expression of AKR1B10 mRNAs in each group (n = 3/group); **P < 0.01, ***P < 0.001, ****P < 0.0001.

The original article has been updated

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Keywords: psoriasis, bioinformatics, network pharmacology, Xiaoyin Jiedu Yin, machine learning, single-cell RNA sequencing

Citation: Fang R-N, Zhou Y, Shen Y, Sun Y and Li J-H (2025) Correction: Investigation of the mechanism of Xiaoyin Jiedu Yin in the treatment of psoriasis based on bioinformatics, machine learning. Front. Chem. 13:1685169. doi: 10.3389/fchem.2025.1685169

Received: 13 August 2025; Accepted: 02 September 2025;
Published: 17 September 2025.

Edited and reviewed by:

Ahmed A. Al-Karmalawy, University of Mashreq, Iraq

Copyright © 2025 Fang, Zhou, Shen, Sun and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jian-Hong Li, Z3JhY2VsZWUxMDBAMTYzLmNvbQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.