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Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Information fields of written texts protect cells from oxidative damage and accelerate repair

Authors: Qian Feng; Yu Chen; Jie Teng; Lin Wang; Zhong-zhen Cai; Meng-mei Li; Glen Rein; +3 Authors

Information fields of written texts protect cells from oxidative damage and accelerate repair

Abstract

Written words demonstrated specific effects on biochemical measures and cell growth in cultured mammalian cells in previous study. We examined the protection and reparative effects of Chinese texts with positive meaning and the word "Buddha" on oxidative-damaged cells, with the goal of exploring the therapeutic effect of such characters.The human embryonic kidney cell line HEK293T was utilized, with the oxidative- damaged cell model produced by hydrogen peroxide (H2O2). Double-blind experiments were set up to ensure all operators involved in the experiments did not know the contents of the texts in envelopes. Petri-dishes (9 plates) containing oxidative-damaged cells were selected randomly for three controls, three treatments by texts with positive meaning, and another three treatment by the word "Buddha". Cells were sub-sampled at 3 h and 24 h to examine growth and mitochondrial functions. All data are expressed relative to the controls.Compared with the control group, mitochondrial functions were enhanced as evidenced by increased adenosine triphosphate (ATP) levels, accompanied by the significant improvement in cell growth rate for the groups treated by positive texts and the word "Buddha". Reactive oxygen species (ROS) levels were decreased significantly in positive texts treatment, which suggested that the antioxidant capacity of cells was also improved.This study revealed that certain texts can potentially offer protection and accelerate the cellular repair for oxidative-damaged cells.

Related Organizations
Keywords

Mammals, Oxidative Stress, HEK293 Cells, Animals, Humans, Hydrogen Peroxide, Reactive Oxygen Species, Mitochondria

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average