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CORRECTION article
Front. Pharmacol., 17 October 2018
Sec. Gastrointestinal and Hepatic Pharmacology
Volume 9 - 2018 | https://doi.org/10.3389/fphar.2018.01203
This article is a correction to:
Yin-Chen-Hao Tang Attenuates Severe Acute Pancreatitis in Rat: An Experimental Verification of In silico Network Target Prediction
A Corrigendum on
Yin-Chen-Hao Tang Attenuates Severe Acute Pancreatitis in Rat: An Experimental Verification of In silico Network Target Prediction
by Xiang, H., Wang, G., Qu, J., Xia, S., Tao, X., Qi, B., et al. (2016) Front. Pharmacol. 7:378. doi: 10.3389/fphar.2016.00378
In the original article, there was a mistake in Figure 6A. The wrong slide of microscopy provided in this figure. The corrected Figure 6 appears below. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.
Figure 6. Yin-Chen-Hao Tang reduced neutrophil infiltration and inflammatory mediator release in SAP rats. (A) Effects of YCHT on MPO-immunopositive (red) staining area of pancreatic tissue in SAP rats using immunofluorescence detection (n = 6). (B) Effects of YCHT on MPO-immunopositive (brown) staining area of pancreatic tissue in SAP rats using immunohistochemical detection (n = 6). (C) Effects of YCHT on the inflammatory mediators CCL5, TNF-α, IL-1β, IL-6 and IL-2 mRNA levels of SAP rats (n = 3). Images are presented at 200 × magnification. The data are presented as the mean ± SD, **P < 0.01 versus SO; #P < 0.05 versus SAP, ##P < 0.01 versus SAP.
The original article has been updated.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Keywords: Yin-Chen-Hao Tang, severe acute pancreatitis, inflammation, apoptosis, network target prediction, PPARγ, NF-κB
Citation: Xiang H, Wang G, Qu J, Xia S, Tao X, Qi B, Zhang Q and Shang D (2018) Corrigendum: Yin-Chen-Hao Tang Attenuates Severe Acute Pancreatitis in Rat: An Experimental Verification of In silico Network Target Prediction. Front. Pharmacol. 9:1203. doi: 10.3389/fphar.2018.01203
Received: 08 September 2018; Accepted: 02 October 2018;
Published: 17 October 2018.
Edited and reviewed by: Ralf Weiskirchen, RWTH Aachen Universität, Germany
Copyright © 2018 Xiang, Wang, Qu, Xia, Tao, Qi, Zhang and Shang. 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: Dong Shang, c2hhbmdkb25nQGRtdS5lZHUuY24=
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