EXPRESSION OF CONCERN: Nrf2 Dependent Antiaging Effect of Milk-Derived Bioactive Peptide in Old Fibroblasts

IF 3 3区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Journal of cellular biochemistry Pub Date : 2024-10-07 DOI:10.1002/jcb.30666

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引用次数: 0

Abstract

EXPRESSION OF CONCERN: N. Kumar, S. Reddi, S. Devi, S. B. Mada, R. Kapila, and S. Kapila, “Nrf2 Dependent Antiaging Effect of Milk-derived Bioactive Peptide in Old Fibroblasts,” Journal of Cellular Biochemistry 120, no. 6 (2019): 9677-9691, https://doi.org/10.1002/jcb.28246.

This expression of concern is for the above article, published online on 28 December 2018 in Wiley Online Library (wileyonlinelibrary.com), and has been agreed between the journal Editor-in-Chief, Christian Behl; and Wiley Periodicals LLC. The expression of concern has been agreed upon due to concerns raised by a third party regarding the data presented in the article. Specifically, several panels in Figure 1B were found to originate from the same biological sample, yet were used to present different treatment groups. Furthermore, some of these panels had been previously published by the same author group in a different scientific context. As the identified issues do not undermine the study's conclusions, the editors have decided to issue this expression of concern to inform and alert readers.

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表达关切：牛奶衍生生物活性肽对老年成纤维细胞的 Nrf2 依赖性抗衰老效应

关注表达：N. Kumar， S. Reddi， S. Devi， S. B. Mada， R. Kapila， S. Kapila，“Nrf2依赖性乳源性生物活性肽在老年成纤维细胞中的抗衰老作用”，《细胞生物化学杂志》，第120期。6 (2019): 9677-9691, https://doi.org/10.1002/jcb.28246.This对上述文章表示关注，该文章于2018年12月28日在线发表在Wiley在线图书馆（wileyonlinelibrary.com）上，并已由期刊主编Christian Behl；和Wiley期刊有限责任公司。由于第三方对文章中提供的数据提出了担忧，因此已同意表达担忧。具体来说，图1B中的几个面板来自相同的生物样本，但被用来表示不同的处理组。此外，其中一些小组以前曾由同一作者小组在不同的科学背景下发表过。由于发现的问题不会破坏研究的结论，编辑们决定发布这一关注表达，以告知和提醒读者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of cellular biochemistry 生物-生化与分子生物学

CiteScore

9.90

自引率

0.00%

发文量

164

审稿时长

1 months

期刊介绍： The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.