Effect of Caffeic Acid and a Static Magnetic Field on Human Fibroblasts at the Molecular Level - Next-generation Sequencing Analysis

Overview

Journal Appl Biochem Biotechnol

Specialties Biochemistry
Biotechnology

Date 2024 Nov 25

PMID 39585554

Authors

Magdalena Kimsa-Dudek

Celina Kruszniewska-Rajs

Agata Krawczyk

Anna Grzegorczyk

Agnieszka Synowiec-Wojtarowicz

Joanna Gola

Affiliations

Soon will be listed here.

Abstract

Due to their properties, numerous polyphenols and a static magnetic field could have therapeutic potential. Therefore, the aim of our research was to investigate the effect of caffeic acid (CA), a moderate-strength static magnetic field (SMF) and their simultaneous action on human fibroblasts in order to determine the molecular pathways they affect, which might contribute to their potential use in therapeutic strategies. The research was conducted using normal human dermal fibroblasts (NHDF cells) that had been treated with caffeic acid at a concentration of 1 mmol/L and then exposed to a moderate-strength static magnetic field. The RNA that had been extracted from the collected cells was used as a template for next-generation sequencing (NGS) and an RT-qPCR reaction. We identified a total of 1,006 differentially expressed genes between CA-treated and control cells. Exposure of cells to a SMF altered the expression of only 99 genes. Simultaneous exposure to both factors affected the expression of 953 genes. It has also been shown that these genes mainly participate in cellular processes, including apoptosis. The highest fold change value were observed for HSPA6 and HSPA7 genes. In conclusion, the results of our research enabled the modulators, primarily caffeic acid and to a lesser extent a static magnetic field, of the apoptosis signaling pathway in human fibroblasts to be identified and to propose a mechanism of their action, which might be useful in the development of new preventive and/or therapeutic strategies. However, more research using other cell lines is needed including cancer cells.

References

Samec D, Karalija E, Sola I, Vujcic Bok V, Salopek-Sondi B . The Role of Polyphenols in Abiotic Stress Response: The Influence of Molecular Structure. Plants (Basel). 2021; 10(1). PMC: 7827553. DOI: 10.3390/plants10010118. View

Lin S, Chang C, Hsu C, Tsai M, Cheng H, Leong M . Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence. Br J Pharmacol. 2019; 177(6):1409-1423. PMC: 7056458. DOI: 10.1111/bph.14816. View

Colomeu T, de Figueiredo D, de Matos da Silva P, Fernandes L, de Lima Zollner R . Antiproliferative and Pro-Oxidant Effect of Polyphenols in Aqueous Leaf Extract of Curtis on Activated T Lymphocytes from Non-Obese Diabetic (NOD SHILT/J) Mice. Antioxidants (Basel). 2022; 11(8). PMC: 9405454. DOI: 10.3390/antiox11081503. View

Nowak M, Tryniszewski W, Sarniak A, Wlodarczyk A, Nowak P, Nowak D . Concentration Dependence of Anti- and Pro-Oxidant Activity of Polyphenols as Evaluated with a Light-Emitting Fe-Egta-HO System. Molecules. 2022; 27(11). PMC: 9182469. DOI: 10.3390/molecules27113453. View

Rudrapal M, Khairnar S, Khan J, Bin Dukhyil A, Ansari M, Alomary M . Dietary Polyphenols and Their Role in Oxidative Stress-Induced Human Diseases: Insights Into Protective Effects, Antioxidant Potentials and Mechanism(s) of Action. Front Pharmacol. 2022; 13:806470. PMC: 8882865. DOI: 10.3389/fphar.2022.806470. View

Alam M, Ahmed S, Elasbali A, Adnan M, Alam S, Hassan M . Therapeutic Implications of Caffeic Acid in Cancer and Neurological Diseases. Front Oncol. 2022; 12:860508. PMC: 8960963. DOI: 10.3389/fonc.2022.860508. View

Naumowicz M, Kusaczuk M, Zajac M, Jablonska-Trypuc A, Miklosz A, Gal M . The influence of the pH on the incorporation of caffeic acid into biomimetic membranes and cancer cells. Sci Rep. 2022; 12(1):3692. PMC: 8901767. DOI: 10.1038/s41598-022-07700-8. View

Fan Y, Ji X, Zhang L, Zhang X . The Analgesic Effects of Static Magnetic Fields. Bioelectromagnetics. 2021; 42(2):115-127. DOI: 10.1002/bem.22323. View

Feng C, Yu B, Song C, Wang J, Zhang L, Ji X . Static Magnetic Fields Reduce Oxidative Stress to Improve Wound Healing and Alleviate Diabetic Complications. Cells. 2022; 11(3). PMC: 8834397. DOI: 10.3390/cells11030443. View

10.

Chen W, Lin G, Lin S, Lu C, Hsieh C, Ma B . Static magnetic field enhances the anticancer efficacy of capsaicin on HepG2 cells via capsaicin receptor TRPV1. PLoS One. 2018; 13(1):e0191078. PMC: 5770067. DOI: 10.1371/journal.pone.0191078. View

11.

Fan Z, Hu P, Xiang L, Liu Y, He R, Lu T . A Static Magnetic Field Inhibits the Migration and Telomerase Function of Mouse Breast Cancer Cells. Biomed Res Int. 2020; 2020:7472618. PMC: 7240788. DOI: 10.1155/2020/7472618. View

12.

Song C, Yu B, Wang J, Ji X, Zhang L, Tian X . Moderate Static Magnet Fields Suppress Ovarian Cancer Metastasis via ROS-Mediated Oxidative Stress. Oxid Med Cell Longev. 2021; 2021:7103345. PMC: 8670934. DOI: 10.1155/2021/7103345. View

13.

Liu J, Jang B, Issadore D, Tsourkas A . Use of magnetic fields and nanoparticles to trigger drug release and improve tumor targeting. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2019; 11(6):e1571. PMC: 6788948. DOI: 10.1002/wnan.1571. View

14.

Fernandes I, Russo F, Pignatari G, Evangelinellis M, Tavolari S, Muotri A . Fibroblast sources: Where can we get them?. Cytotechnology. 2014; 68(2):223-8. PMC: 4754245. DOI: 10.1007/s10616-014-9771-7. View

15.

Dini L, Abbro L . Bioeffects of moderate-intensity static magnetic fields on cell cultures. Micron. 2005; 36(3):195-217. DOI: 10.1016/j.micron.2004.12.009. View

16.

Strzalka-Mrozik B, Stanik-Walentek A, Kapral M, Kowalczyk M, Adamska J, Gola J . Differential expression of transforming growth factor-beta isoforms in bullous keratopathy corneas. Mol Vis. 2010; 16:161-6. PMC: 2817012. View

17.

Bolger A, Lohse M, Usadel B . Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014; 30(15):2114-20. PMC: 4103590. DOI: 10.1093/bioinformatics/btu170. View

18.

Liao Y, Smyth G, Shi W . featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2013; 30(7):923-30. DOI: 10.1093/bioinformatics/btt656. View

19.

Robinson M, McCarthy D, Smyth G . edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2009; 26(1):139-40. PMC: 2796818. DOI: 10.1093/bioinformatics/btp616. View

20.

Su S, Law C, Ah-Cann C, Asselin-Labat M, Blewitt M, Ritchie M . Glimma: interactive graphics for gene expression analysis. Bioinformatics. 2017; 33(13):2050-2052. PMC: 5870845. DOI: 10.1093/bioinformatics/btx094. View