Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Flow pattern–dependent mitochondrial dynamics regulates the metabolic profile and inflammatory state of endothelial cells
Soon-Gook Hong, Junchul Shin, Soo Young Choi, Jeffery C. Powers, Benjamin M. Meister, Jacqueline Sayoc, Jun Seok Son, Ryan Tierney, Fabio A. Recchia, Michael D. Brown, Xiaofeng Yang, Joon-Young Park
Soon-Gook Hong, Junchul Shin, Soo Young Choi, Jeffery C. Powers, Benjamin M. Meister, Jacqueline Sayoc, Jun Seok Son, Ryan Tierney, Fabio A. Recchia, Michael D. Brown, Xiaofeng Yang, Joon-Young Park
View: Text | PDF
Research Article Vascular biology

Flow pattern–dependent mitochondrial dynamics regulates the metabolic profile and inflammatory state of endothelial cells

  • Text
  • PDF
Abstract

Endothelial mitochondria play a pivotal role in maintaining endothelial cell (EC) homeostasis through constantly altering their size, shape, and intracellular localization. Studies show that the disruption of the basal mitochondrial network in EC, forming excess fragmented mitochondria, implicates cardiovascular disease. However, cellular consequences underlying the morphological changes in the endothelial mitochondria under distinctively different, but physiologically occurring, flow patterns (i.e., unidirectional flow [UF] versus disturbed flow [DF]) are largely unknown. The purpose of this study was to investigate the effect of different flow patterns on mitochondrial morphology and its implications in EC phenotypes. We show that mitochondrial fragmentation is increased at DF-exposed vessel regions, where elongated mitochondria are predominant in the endothelium of UF-exposed regions. DF increased dynamin-related protein 1 (Drp1), mitochondrial reactive oxygen species (mtROS), hypoxia-inducible factor 1, glycolysis, and EC activation. Inhibition of Drp1 significantly attenuated these phenotypes. Carotid artery ligation and microfluidics experiments further validate that the significant induction of mitochondrial fragmentation was associated with EC activation in a Drp1-dependent manner. Contrarily, UF in vitro or voluntary exercise in vivo significantly decreased mitochondrial fragmentation and enhanced fatty acid uptake and OXPHOS. Our data suggest that flow patterns profoundly change mitochondrial fusion/fission events, and this change contributes to the determination of proinflammatory and metabolic states of ECs.

Authors

Soon-Gook Hong, Junchul Shin, Soo Young Choi, Jeffery C. Powers, Benjamin M. Meister, Jacqueline Sayoc, Jun Seok Son, Ryan Tierney, Fabio A. Recchia, Michael D. Brown, Xiaofeng Yang, Joon-Young Park

×

Figure 5

Flow pattern alters immunometabolic phenotypes in endothelial cells in a Drp1-dependent manner.

Options: View larger image (or click on image) Download as PowerPoint
Flow pattern alters immunometabolic phenotypes in endothelial cells in a...
(A) Representative fluorescence images of mitochondria morphology in MAECPhAM under UF versus DF versus DF + Mdivi1 (25 μM). Scale bar: 30 μm (n = 3–6). (B) Representative fluorescence images of 2-NBDG uptake in HAECs under UF versus DF versus DF + Mdivi1 (25 μM). Scale bar: 100 μm (n = 4) (C) Representative fluorescence images of fatty acid (BODIPY) uptake in HAECs under UF versus DF versus DF + Mdivi1 (25 μM). Scale bar: 30 μm (n = 6). (D) Representative fluorescence images of VCAM-1 expression in HAECs under UF versus DF versus DF + Mdivi1 (25 μM). Scale bar: 30 μm (n = 4). (E) Quantification plot of mitochondrial fission count (MFC) in mCherry-Drp1 overexpression vector–positive or –negative HUVECs. (F) Representative micrographs of mCherry-Drp1 (red) and mitochondria stained with MitoTracker Green FM (green). Scale bar: 30 μm. (G) Quantification plot of 2-NBDG intensity in mCherry-Drp1 overexpression vector–positive or –negative HUVECs. (H) Representative fluorescence images of mCherry-Drp1 (red) and 2-NBDG glucose uptake (yellow). Scale bar: 30 μm. Data are shown as mean ± SD. *P < 0.05, **P < 0.01 by Welch’s t test (E), Mann-Whitney U test (G), or 1-way ANOVA followed by Tukey’s post hoc test (A–D). A.U., arbitrary unit; UF, unidirectional flow; DF, disturbed flow.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts