Back

Temporal decoding of blood flow derived mechanical cues driving liver regeneration

Shu, X.; Chen, G.; Song, C.; Zhang, Y.; Lv, S.; Du, Y.; Long, M.

2026-07-14 bioengineering
10.64898/2026.07.13.738320 bioRxiv
Show abstract

Liver regeneration is initiated by rapid vascular changes, yet how blood flow-derived mechanical cues are decoded by liver sinusoidal endothelial cells (LSECs) remains unclear. Here, we found that partial hepatectomy generates temporally distinct mechanical cues in vivo, with a transient rise in shear stress followed by progressive sinusoidal dilation and endothelial stretch. To dissect these forces, we developed a liver regeneration chip that reconstructs sinusoidal architecture and enables independent or coupled manipulation of shear stress and mechanical stretch. Shear-dominant, stretch-dominant, and coupled mechanical modalities induce divergent LSEC regenerative programs involving extracellular matrix remodeling, cell-cycle regulation, cytoskeletal organization, and angiocrine signaling. Mechanistically, force-specific pathways, including Wnt, HIF-1, NF-{kappa}B, and Piezo1-associated signaling, mediate these outputs. Inhibition of these pathways after partial hepatectomy impairs hepatocyte proliferation and survival. These findings reveal that LSECs temporally decode blood flow-derived mechanical forces into distinct regenerative outputs, establishing endothelial mechanotransduction as an upstream regulator of liver regeneration. HIGHLIGHTS{blacksquare} Partial hepatectomy decouples transient shear from progressive stretch in vivo. {blacksquare}A liver regeneration chip recreates structure and distinct mechanical modalities in sinusoids. {blacksquare}Distinct mechanical modalities encode divergent LSEC regenerative programs. {blacksquare}Force-specific LSEC mechanotransduction supports hepatocyte proliferation and survival.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 21%
7.8%
2
Cell Reports
1498 papers in training set
Top 5%
6.6%
3
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 7%
6.6%
4
Developmental Cell
196 papers in training set
Top 0.4%
6.6%
5
Development
497 papers in training set
Top 1%
6.2%
6
Science Advances
1243 papers in training set
Top 6%
4.8%
7
Advanced Science
286 papers in training set
Top 2%
4.3%
8
npj Regenerative Medicine
24 papers in training set
Top 0.1%
4.3%
9
EMBO Reports
263 papers in training set
Top 1%
4.0%
50% of probability mass above
10
Biomaterials
84 papers in training set
Top 0.5%
4.0%
11
Science Signaling
65 papers in training set
Top 0.2%
3.4%
12
Hepatology
22 papers in training set
Top 0.1%
3.2%
13
Nature Cardiovascular Research
33 papers in training set
Top 0.3%
3.2%
14
eLife
5828 papers in training set
Top 37%
3.1%
15
JCI Insight
277 papers in training set
Top 4%
2.1%
16
iScience
1154 papers in training set
Top 18%
1.7%
17
Nature Cell Biology
118 papers in training set
Top 2%
1.5%
18
Cell Systems
201 papers in training set
Top 3%
1.5%
19
Science Translational Medicine
127 papers in training set
Top 3%
1.1%
20
Journal of Cell Biology
392 papers in training set
Top 3%
1.1%
21
Nature
645 papers in training set
Top 8%
1.1%
22
Journal of Hepatology
21 papers in training set
Top 0.3%
1.0%
23
The FASEB Journal
194 papers in training set
Top 5%
1.0%
24
Metabolism
15 papers in training set
Top 0.5%
0.8%
25
Nature Metabolism
69 papers in training set
Top 2%
0.8%
26
Molecular Metabolism
112 papers in training set
Top 2%
0.8%
27
Gastro Hep Advances
11 papers in training set
Top 0.4%
0.8%
28
Journal of Experimental Medicine
119 papers in training set
Top 4%
0.6%
29
Scientific Reports
3612 papers in training set
Top 79%
0.6%
30
Cell Reports Medicine
153 papers in training set
Top 6%
0.6%