| Literature DB >> 29804125 |
Jianying Gong1, Linan Guan1, Pei Tian1, Chao Li2, Yi Zhang1.
Abstract
BACKGROUND Rho kinases (ROCKs) are the typical downstream effectors of RhoA, which can regulate corneal epithelial wound healing. In this study, the role of ROCK1 in lipopolysaccharide (LPS)-induced cornea inflammation was investigated. MATERIAL AND METHODS The expression of ROCK1 in human corneal epithelial cells (HCECs) was bilaterally modulated with ROCK1 expression vector and ROCK1 inhibitor Y-27632. The effects of ROCK1 modulation on the inflammatory response, cell viability, cell apoptosis, and cell cycle distribution were detected by ELISA assay, MTT assay, and flow cytometry, respectively. The pathways involved in the effect of ROCK1 in HCECs was preliminarily explained by detecting changes of TLR4-mediated NF-kB and ERK signaling using western blotting and electrophoretic mobility shift assays. RESULTS Overexpression of ROCK1 promoted LPS-induced production of IL-6, IL-8, IL-1β, and TNF-α, and the apoptotic process in HCECs. Augmented inflammation and apoptosis were associated with stronger activation of TLR4-mediated signal transduction; the phosphorylation of IkBa, JNK, ERK1/2, and p38, and nuclear translocation of NF-κB p65 induced by LPS were further increased by overexpression of ROCK1. Inhibition of ROCK1 function by Y-27632 blocked the effect of LPS on HCECs; both LPS-induced inflammation and apoptosis was alleviated by Y-27632, which was associated with suppression of TLR4-mediated NF-κB and ERK signaling. CONCLUSIONS LPS-induced inflammation and apoptosis in HCECs depended on the function of ROCK1, inhibition of which would attenuate impairments on cornea cells due to LPS.Entities:
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Year: 2018 PMID: 29804125 PMCID: PMC5999052 DOI: 10.12659/MSM.907277
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1Influence of ROCK1 on the production of pro-inflammation cytokines in LPS-treated HCECs. a p<0.05 versus NC group; b p<0.05 versus LPS+NC group; c p<0.05 versus LPS+ROCK1 group. Each ELISA assay was represented by three replicates and data were expressed as mean ± standard deviation.
Figure 2Influence of ROCK1 on the cell viability, apoptosis, and cell cycle distribution of LPS-treated HCECs. (A) MTT assay. (B) Flow cytometry: apoptotic rates. (C) Flow cytometry, cell cycle distribution. a p<0.05 versus NC group; b p<0.05 versus LPS+NC group; c p<0.05 versus LPS+ROCK1 group. Each assay was represented by three replicates and data were expressed as mean ± standard deviation.
Figure 3Influence of ROCK1 on the expression and distribution of RhoA in LPS-treated HCECs. (A) Expression and distribution of ROCK1. (B) Expression and distribution of RhoA. Scale bar, 100 μm. Each assay was represented by three replicates.
Figure 4Influence of ROCK1 on the activity of TLR4-mediated NF-κB and ERK signaling in LPS-treated HCECs. (A) ROCK1, RhoA, and members of TLR4-mediated NF-κB signaling. (B) Members of TLR4-mediated ERK signaling. Each western blotting assay was represented by three replicate and data were expressed as mean ± standard deviation.
Figure 5Influence of ROCK1 on nuclear translocation of NF-κB p65 in LPS-treated HCECs. a p<0.05 versus NC group; b p<0.05 versus LPS+NC group; c p<0.05 versus LPS+ROCK1 group. Each EMSA was represented by three replicates and data were expressed as mean ± standard deviation.
Relative expression levels of proteins on western blotting assays.
| Protein | Group | ||||
|---|---|---|---|---|---|
| Control | NC | LPS+NC | LPS+ROCK1 | LPS+Y-27632 | |
| ROCK1 | 1.00±0.00 | 1.07±0.15 | 3.33±0.48 | 5.98±0.86 | 1.07±0.15 |
| RhoA | 1.00±0.00 | 0.98±0.14 | 2.36±0.34 | 4.47±0.64 | 1.21±0.17 |
| TLR4 | 1.00±0.00 | 0.90±0.13 | 3.91±0.41 | 5.46±0.65 | 1.59±0.23 |
| p-IκBα | 1.00±0.00 | 1.05±0.15 | 4.39±0.63 | 7.96±1.14 | 2.40±0.35 |
| IκBα | 1.00±0.00 | 0.98±0.14 | 0.35±0.02 | 0.17±0.01 | 0.68±0.08 |
| NF-κB p65 (plasma) | 1.00±0.00 | 0.99±0.14 | 0.41±0.06 | 0.19±0.03 | 0.65±0.05 |
| NF-κB p65 (nuclear) | 1.00±0.00 | 0.94±0.14 | 3.78±0.40 | 5.13±0.62 | 2.50±0.40 |
| p-ERK1/2 | 1.00±0.00 | 0.90±0.13 | 4.83±0.69 | 9.21±1.32 | 2.00±0.29 |
| ERK1/2 | 1.00±0.00 | 0.94±0.14 | 1.00±0.15 | 0.97±0.14 | 0.95±0.14 |
| p-JNK | 1.00±0.00 | 0.89±0.13 | 2.44±0.27 | 5.48±0.79 | 1.29±0.19 |
| JNK | 1.00±0.00 | 1.04±0.15 | 0.94±0.13 | 0.87±0.13 | 1.11±0.16 |
| p-p38 | 1.00±0.00 | 0.97±0.14 | 2.14±0.31 | 3.34±0.48 | 1.30±0.19 |
| p38 | 1.00±0.00 | 0.95±0.14 | 1.02±0.15 | 0.95±0.14 | 1.08±0.15 |
| Bax | 1.00±0.00 | 1.06±0.15 | 1.98±0.27 | 3.77±0.54 | 1.13±0.11 |
| Bcl-2 | 1.00±0.00 | 0.96±0.14 | 0.50±0.06 | 0.25±0.02 | 0.77±0.11 |
p<0.05 versus NC group;
p<0.05 versus LPS+NC group;
p<0.05 versus LPS+ROCK1 group.
Data were expressed as mean ± standard deviation. ROCK1, Rho kinase type 1. TLR4, toll-like receptor 4. IκBα, I κ B proteins α. NF-κB p65, nuclear factor of κ B subunit p65. ERK1/2, extracellular signal-regulated kinase 1/2. JNK, c-Jun N-terminal kinase.