# Oscillatory Disturbed Flow Enhances Inflammatory and Oxidative Stress Markers in Endothelial Cells

**Authors:** Maram Hasan, Onur Mutlu, Munshi Sajidul Islam, Samar Shurbaji, Ruba Sulaiman, Yasmin Elsharabassi, Abdelali Agouni, Huseyin C. Yalcin

PMC · DOI: 10.3390/mps8060130 · Methods and Protocols · 2025-11-01

## TL;DR

This study shows that disturbed blood flow increases inflammation and oxidative stress in endothelial cells, which may contribute to vascular diseases like atherosclerosis.

## Contribution

The study introduces an optimized in vitro microfluidic system to model disturbed flow effects on endothelial cells and their molecular responses.

## Key findings

- Oscillatory flow increased NFκ-B and COX-2 mRNA, indicating proinflammatory responses in endothelial cells.
- Oscillatory flow significantly elevated ROS levels compared to laminar flow and static culture.
- Oscillatory flow reduced eNOS mRNA and increased CHOP mRNA, suggesting impaired endothelial function and stress.

## Abstract

Hemodynamics significantly impact the biology of endothelial cells (ECs) lining the blood vessels. ECs are exposed to various hemodynamic forces, particularly frictional shear stress from flowing blood. While physiological flows are critical for the normal functioning of ECs, abnormal flow dynamics, known as disturbed flows, may trigger endothelial dysfunction leading to atherosclerosis and other vascular conditions. Such flows can occur due to sudden geometrical variations and vascular abnormalities in the cardiovascular system. In the current study, a microfluidic system was used to investigate the impact of different flow conditions (i.e, normal vs. disturbed) on ECs in vitro. We particularly explored the relationship between specific flow patterns and cellular pathways linked to oxidative stress and inflammation related to atherosclerosis. Here, we utilized a 2D cell culture perfusion system featuring an immortalized human vascular endothelial cell line (EA.hy926) connected to a modified peristaltic pump system to generate either steady laminar flows, representing healthy conditions, or disturbed oscillatory flows, representing diseased conditions. EA.hy926 were exposed to an oscillatory flow shear stress of 0.5 dynes/cm2 or a laminar flow shear stress of 2 dynes/cm2 up to 24 h. Following flow exposure, cells were harvested from the perfusion chamber for quantitative PCR analysis of gene expression. Reactive oxygen species (ROS) generation under various shear stress conditions was also measured using DCFDA/H2DCFDA fluorescent assays. Under oscillatory shear stress flow conditions (0.5 dynes/cm2), EA.hy926 ECs showed a 3.5-fold increase in the transcription factor nuclear factor (NFκ-B) and a remarkable 28.6-fold increase in cyclooxygenase-2 (COX-2) mRNA expression, which are both proinflammatory markers, compared to static culture. Transforming growth factor-beta (TGFβ) mRNA expression was downregulated in oscillatory and laminar flow conditions compared to the static culture. Apoptosis marker transcription factor Jun (C-Jun) mRNA expression increased in both flow conditions. Apoptosis marker C/EBP homologous protein (CHOP) mRNA levels increased significantly in oscillatory flow, with no difference in laminar flow. Endothelial nitric oxide synthase (eNOS) mRNA expression was significantly decreased in cells exposed to oscillatory flow, whereas there was no change in laminar flow. Endothelin-1 (ET-1) mRNA expression levels dropped significantly by 0.5- and 0.8-fold in cells exposed to oscillatory and laminar flow, respectively. ECs subjected to oscillatory flow exhibited a significant increase in ROS at both 4 and 24 h compared to the control and laminar flow. Laminar flow-treated cells exhibited a ROS generation pattern similar to that of static culture, but at a significantly lower level. Overall, by exposing ECs to disturbed and normal flows with varying shear stresses, significant changes in gene expression related to inflammation, endothelial function, and oxidative stress were observed. In this study, we present a practical, optimized system as an in vitro model that can be employed to investigate flow-associated diseases, such as atherosclerosis and aortic aneurysm, thereby supporting the understanding of the underlying molecular mechanisms.

## Linked entities

- **Genes:** NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790], COX2 (cytochrome c oxidase subunit II) [NCBI Gene 4513], TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040], JUN (Jun proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 3725], DDIT3 (DNA damage inducible transcript 3) [NCBI Gene 1649], NOS3 (nitric oxide synthase 3) [NCBI Gene 4846], EDN1 (endothelin 1) [NCBI Gene 1906]
- **Chemicals:** DCFDA (PubChem CID 104913), H2DCFDA (PubChem CID 77718)
- **Diseases:** atherosclerosis (MONDO:0005311), aortic aneurysm (MONDO:0005160)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** JUN (Jun proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 3725] {aka AP-1, AP1, c-Jun, cJUN, p39}, NOS3 (nitric oxide synthase 3) [NCBI Gene 4846] {aka EC-NOS, ECNOS, MYMY8, NOSIII, cNOS, eNOS}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, EDN1 (endothelin 1) [NCBI Gene 1906] {aka ARCND3, ET1, HDLCQ7, PPET1, QME}, PTGS2 (prostaglandin-endoperoxide synthase 2) [NCBI Gene 5743] {aka COX-2, COX2, GRIPGHS, PGG/HS, PGHS-2, PHS-2}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, DDIT3 (DNA damage inducible transcript 3) [NCBI Gene 1649] {aka AltDDIT3, C/EBPzeta, CEBPZ, CHOP, CHOP-10, CHOP10}
- **Diseases:** atherosclerosis (MESH:D050197), Inflammatory (MESH:D007249), endothelial dysfunction (MESH:D014652), aortic aneurysm (MESH:D001014)
- **Chemicals:** ROS (MESH:D017382), H2DCFDA (MESH:C110400), DCFDA (MESH:C029569)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** EA.hy926 — Homo sapiens (Human), Hybrid cell line (CVCL_3901)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12641883/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12641883/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12641883/full.md

---
Source: https://tomesphere.com/paper/PMC12641883