| Literature DB >> 35328541 |
Pradeep Bhartiya1, Neha Kaushik2, Linh N Nguyen1,3, Sander Bekeschus4, Kai Masur4, Klaus-Dieter Weltmann4, Nagendra Kumar Kaushik1, Eun Ha Choi1.
Abstract
Excess amounts of redox stress and failure to regulate homeostatic levels of reactive species are associated with several skin pathophysiologic conditions. Nonmalignant cells are assumed to cope better with higher reactive oxygen and nitrogen species (RONS) levels. However, the effect of periodic stress on this balance has not been investigated in fibroblasts in the field of plasma medicine. In this study, we aimed to investigate intrinsic changes with respect to cellular proliferation, cell cycle, and ability to neutralize the redox stress inside fibroblast cells following periodic redox stress in vitro. Soft jet plasma with air as feeding gas was used to generate plasma-activated medium (PAM) for inducing redox stress conditions. We assessed cellular viability, energetics, and cell cycle machinery under oxidative stress conditions at weeks 3, 6, 9, and 12. Fibroblasts retained their usual physiological properties until 6 weeks. Fibroblasts failed to overcome the redox stress induced by periodic PAM exposure after 6 weeks, indicating its threshold potential. Periodic stress above the threshold level led to alterations in fibroblast cellular processes. These include consistent increases in apoptosis, while RONS accumulation and cell cycle arrest were observed at the final stages. Currently, the use of NTP in clinical settings is limited due to a lack of knowledge about fibroblasts' behavior in wound healing, scar formation, and other fibrotic disorders. Understanding fibroblasts' physiology could help to utilize nonthermal plasma in redox-related skin diseases. Furthermore, these results provide new information about the threshold capacity of fibroblasts and an insight into the adaptation mechanism against periodic oxidative stress conditions in fibroblasts.Entities:
Keywords: DNA damage response; cellular stability; cold atmospheric plasma; dermal fibroblasts
Mesh:
Substances:
Year: 2022 PMID: 35328541 PMCID: PMC8949019 DOI: 10.3390/ijms23063120
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Physical characteristics of the soft jet plasma device. (A) Schematic representation of soft jet plasma device used in this study. (B) Photograph of the performing soft jet plasma. (C) Optical emission spectrum of the plasma jet, showing emissions of NO, the N2 second positive system (N2 SPS) and the N2 first negative system (N2 FNS), OH radical, and atomic O. (D) Temperature profile of the plasma jet plume during operation.
Figure 2Exposure to PAM reduces the viability of GM fibroblast cells. (A) Schematic representation of the study and experimental plan. (B) Bar graph representing metabolic activity of fibroblasts after periodic PAM exposure for weeks (Wk). (C) Representative flow cytometry dot plots and respective bar graphs indicating terminal cell death. Gene expression profiles as measured by qPCR for (D) Casp3, (E) Casp8, (F) Casp9, (G) BCL-XL, and (H) BAX. Statistical significance was evaluated using Dunnett’s or Tukey’s multiple comparison test with two-way ANOVA and is indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001.
Figure 3Exposure to PAM induces RONS levels and increases the cellular antioxidant system. (A) The relative concentration of reactive species in the medium after PAM exposure. Statistical significance was evaluated using Dunnett’s multiple comparison test with one-way ANOVA analysis. Representative spectra (B) and a bar graph (C) representing H2-DCF-DA levels in fibroblasts after periodic PAM exposure for weeks (Wk). Statistical significance was evaluated using Tukey’s multiple comparison test with two-way ANOVA. Gene expression profile of antioxidant enzymes (D) GPx, (E) catalase, (F) CuZnSOD, and (G) MnSOD. Statistical significance was evaluated using Dunnett’s or Tukey’s multiple comparison test with two-way ANOVA and is indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001.
Figure 4Effect of periodic PAM exposure on cellular energetics. (A) ATP levels in fibroblast cells were exposed periodically to PAM. Statistical significance was evaluated using Dunnett’s multiple comparison test with two-way ANOVA analysis. (B) mRNA levels of ATP5A gene. Statistical significance was evaluated using Dunnett’s or Tukey’s multiple comparison test with two-way ANOVA analysis. (C) Mitoflow intensity levels in fibroblast after periodic PAM exposure across weeks (Wk). Statistical significance was evaluated using Dunnett’s multiple comparison test with one-way ANOVA and is indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001.
Figure 5Evaluation of the DNA damage response and cell cycle phases after periodic PAM exposure in fibroblast cells. (A) Representative cell cycle phases in fibroblast cells after PAM exposure for weeks (Wk). Significance has been shown among various groups considering G2/M changes. Statistical significance was evaluated using Dunnett’s multiple comparison test with one-way ANOVA. (B) Representative confocal images of fibroblast cells stained with DAPI indicate changes in nuclear morphology. mRNA levels of cell cycle markers. (C) Cdkn1A, (D) Cdkn2A, and (E) p53. mRNA levels of DNA damage markers (F) H2AX and (G) ATM. Scale bar 100 µM. Statistical significance was evaluated using Dunnett’s or Tukey’s multiple comparison test with two-way ANOVA and is indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001.
Figure 6An illustration depicting the impact of periodic redox stress in skin fibroblasts. This figure is prepared using licensed BioRender online tool.
List of primers used in this study.
| Gene Name | Sequence (5′-3′) |
|---|---|
| ACTIN-forward | GGC ATC CTC ACC CTG AAG TA |
| ACTIN-reverse | AGG TGT GGT GCC AGA TTT TC |
| Casp3-forward | ATG TCG ATG CAG CAA ACC TC |
| Casp3-reverse | TCC TTC TTC ACC ATG GCT CA |
| Casp8-forward | CCC AAA TCA ACA AGA GCC TGC |
| Casp8-reverse | TCA GAC AGT ATC CCC GAG GTT |
| BCL-XL-forward | TCA GTG AGT GAG CAG GTG TT |
| BCL-XL-reverse | GGC CTC AGT CCT GTT CTC TT |
| BAX-forward | AAG AAG CTG AGC GAG TGT CTC |
| BAX-reverse | GCT GGC AAA GTA GAA AAG GGC |
| GPx-forward | TTG ACA TCG AGC CTG ACA TC |
| GPx-reverse | CAA GGT GTT CTT CCC TCG TA |
| CAT-forward | TCT GGA GAA GTG CGG AGA TT |
| CAT-reverse | AGT CAG GGT GGA CCT CAG TG |
| CuZnSOD-forward | GAA GGT GTG GGG AAG CAT TA |
| CuZnSOD-reverse | ACA TTG CCC AAG TCT CCA AC |
| MnSOD-forward | TGT ACC GGT TCC GAG TTT TC |
| MnSOD-reverse | TTC AGG CCC TAC AAT TCA CC |
| ATP5A-forward | TTT TGC CCA GTT CGG TTC TG |
| ATP5A-reverse | GAT ATC CCC TTA CAC CCG CA |
| p53-forward | GCC CCT CCT CAG CAT CTT ATC |
| p53-reverse | AAA GCT GTT CCG TCC CAG TAG |
| H2AX-forward | CAA CAA GAA GAC GCG AAT CA |
| H2AX-reverse | CGG GCC CTC TTA GTA CTC CT |
| ATM-forward | TCC GTC AGC AAA GAA GTA GAA |
| ATM-reverse | TGG GAT AGA GCG AAT ACA CAG |
| Cdkn1A-forward | TTG GCT CCC CTG TAC CTT TT |
| Cdkn1A-reverse | CCT TCC CCT TCC AGT CCA TT |
| Cdkn2A -forward | CCC AAC GCA CCG AAT AGT TA |
| Cdkn2A -reverse | ACC CCT TCT GAA AAC TCC CC |
| Casp9-forward | CGA CAT CTT TGA GCA GTG GG |
| Casp9-reverse | GAA AGC TTT GGG GTG CAA GA |