Skip to main content
RSC Advances logoLink to RSC Advances
. 2021 Feb 1;11(10):5722. doi: 10.1039/d1ra90062e

Retraction: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach

Laura Fisher 1
PMCID: PMC8698548  PMID: 35427079

Abstract

Retraction of ‘High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach’ by Hai-Hong Li et al., RSC Adv., 2018, 8, 14838–14847, DOI: 10.1039/C8RA01749B


The Royal Society of Chemistry hereby wholly retracts this RSC Advances article due to concerns with the reliability of the data.

The images in the article were screened by an image integrity expert. Images published in Fig. 4 of the article have also been published in another article by a different set of authors.1

Furthermore, the left and right panels in Fig. 4A show duplicated images. In addition, the left and right panels in Fig. 4B are also identical.

The authors were unable to provide raw data for any of the images published in Fig. 4.

Given the significance of the concerns about the validity of the data, the findings presented in this paper are not reliable.

The authors do not agree with the retraction.

Signed: Laura Fisher, Executive Editor, RSC Advances

Date: 19th January 2021

Supplementary Material

References

  1. Liang Q. Han L. Li X. Zhang Y. RSC Adv. 2018;8:20250–20258. doi: 10.1039/C8RA02805B. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]

Articles from RSC Advances are provided here courtesy of Royal Society of Chemistry

RESOURCES