Back

Hyaluronic Acid Plays Differential Molecular Weight and Concentration Dependent Pathway Centric Changes to Human Lung Derived Microvascular Endothelial Cells in Culture

Mobley, J. A.; Kojima, K.; Yellumahanththi, S.

2026-06-03 cell biology
10.64898/2026.06.01.729187 bioRxiv
Show abstract

BackgroundHyaluronan (HA) is a major extracellular matrix glycosaminoglycan that regulates vascular integrity and immune signaling in the lung. Its biological effects are strongly size-dependent, with high-molecular-weight HA (HMW-HA) generally protective and low-molecular-weight HA (LMW-HA) pro-inflammatory. However, how different HA sizes and concentrations globally remodel endothelial cell signaling remains poorly understood. MethodsHuman lung microvascular endothelial cells (HULEC-5a) were treated with physiologic (200 ng/mL) or supraphysiologic (1 {micro}g/mL) concentrations of LMW-, medium-molecular-weight (MMW-), or HMW-HA. Cell viability was confirmed by LDH assay. Quantitative proteomics with downstream Ingenuity Pathway Analysis (IPA) was used to profile HA-induced signaling networks. ResultsProteomic analysis revealed a conserved HA-response signature across all conditions involving cell cycle regulation, senescence, and immune modulation, with distinct size-and dose-dependent differences. At supraphysiologic concentrations, HMW-HA suppressed proliferative and inflammatory pathways, consistent with a protective, quiescent phenotype. LMW-HA induced the broadest stress-associated proteomic changes, consistent with its role as a damage-associated molecular pattern. Unexpectedly, physiologic MMW-HA elicited the strongest responses, driving metabolic and cytoskeletal pathways including insulin signaling and Rho GTPase activity. Network analysis highlighted 176 overlapping pathways across HA treatments, with unique contributions of LMW- and HMW-HA to stress- versus barrier-stabilizing signaling, respectively. ConclusionHA is not a passive structural molecule but an active regulator of endothelial signaling, with effects shaped by both molecular weight and concentration. Our findings identify a distinct role for MMW-HA at physiologic levels and highlight how HA fragmentation and accumulation may contribute to endothelial dysfunction in lung injury, with implications for targeted HA-based therapies.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 0.2%
15.4%
2
American Journal of Physiology-Lung Cellular and Molecular Physiology
39 papers in training set
Top 0.1%
7.1%
3
PLOS ONE
4510 papers in training set
Top 34%
4.1%
4
JCI Insight
241 papers in training set
Top 1%
4.1%
5
Scientific Reports
3102 papers in training set
Top 33%
3.7%
6
American Journal of Respiratory Cell and Molecular Biology
38 papers in training set
Top 0.3%
3.2%
7
Journal of Thrombosis and Haemostasis
28 papers in training set
Top 0.2%
2.7%
8
Matrix Biology
28 papers in training set
Top 0.1%
2.7%
9
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.5%
10
Cardiovascular Research
33 papers in training set
Top 0.4%
2.0%
11
The American Journal of Pathology
31 papers in training set
Top 0.2%
1.8%
12
The FASEB Journal
175 papers in training set
Top 0.9%
1.8%
50% of probability mass above
13
Journal of Lipid Research
35 papers in training set
Top 0.3%
1.5%
14
Journal of the American Heart Association
119 papers in training set
Top 3%
1.5%
15
Glycobiology
30 papers in training set
Top 0.1%
1.4%
16
Frontiers in Immunology
586 papers in training set
Top 5%
1.3%
17
Fluids and Barriers of the CNS
21 papers in training set
Top 0.2%
1.3%
18
Acta Biomaterialia
85 papers in training set
Top 0.7%
1.0%
19
Atherosclerosis
29 papers in training set
Top 0.9%
1.0%
20
eLife
5422 papers in training set
Top 51%
1.0%
21
Biomaterials
78 papers in training set
Top 0.9%
0.9%
22
European Respiratory Journal
54 papers in training set
Top 2%
0.8%
23
Cytotherapy
14 papers in training set
Top 0.3%
0.8%
24
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 42%
0.8%
25
American Journal of Physiology-Cell Physiology
34 papers in training set
Top 0.3%
0.8%
26
Journal of Applied Physiology
29 papers in training set
Top 0.5%
0.8%
27
ACS Biomaterials Science & Engineering
37 papers in training set
Top 1.0%
0.8%
28
Cell Death & Disease
126 papers in training set
Top 2%
0.8%
29
Life Sciences
25 papers in training set
Top 1%
0.8%
30
iScience
1063 papers in training set
Top 31%
0.8%