Literature DB >> 34047483

A folate/RGD-dual-functionalized mesoporous silica nanoparticles targeting GABA-p38 MAPK-MRTFs/SRF signaling pathway in rheumatoid arthritis.

Xinqi Deng1, Ke Hou2, Lei Yang3, Zhengju Zhang4, Wen Gu5, Xiangwei Bu6, Hui Liu4, Weiguo Ma4, Kang Wang4, Hua Bai7, Honghong Zhang8, Dali Wang9, Chunguo Wang10, Huiyuan Zhang11, Fengxian Meng4.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34047483      PMCID: PMC8103722          DOI: 10.1002/ctm2.408

Source DB:  PubMed          Journal:  Clin Transl Med        ISSN: 2001-1326


× No keyword cloud information.
Dear Editor, Rheumatoid arthritis (RA) is an autoimmune disease that is associated with burdened personal, social, and economic costs. Enhanced understanding of RA pathogenesis and the development of effective therapies is pressingly needed. Seeking effective solution for diseases from natural medicine has become an attractive point of providing a new perspective for drug development. Polydatin (PD) has been found to be beneficial to arthritis. However, the pharmacological action of PD is weak in clinical practice due to poor aqueous solubility, chemical instability in aqueous alkaline medium, and extensive first‐pass metabolism. Biodegradable nanoparticle, which is of better solubility and lower degradation, could be a good choice for PD targeted delivery to overcome these obstacles. With advantages in straightforward synthesis, , , mesoporous silica nanoparticles (MSNs) were chosen for developing an efficient and safe nanocarrier for PD in this study. We developed PD@MSN‐FA/RGD (Figure 1A, Figures S1–S8, Table S1) as a dual‐target nano‐drug delivery system that aimed at folate receptor and ανβ3 integrin receptor. Drug release profiles of PD@MSN‐FA/RGD were illustrated to be sustained and mass ratio dependent (Figure 1B). To further evaluate the possibility of in vivo application of PD@MSN‐FA/RGD, the hemolysis test was performed in vitro and in vivo. No significant difference was observed between MSN and control (‐) samples. It was demonstrated that no false negative or false‐positive results, which could be caused by adsorption of hemoglobin on particle surfaces or toxicity of the residual surfactant, occurred in hemolysis assay of PD@MSN‐FA/RGD. No significant hemolysis occurred with the concentration below 13.80 mg/ml, and excellent biocompatibility was displayed with the concentration below 4.60 mg/ml in vitro (Figure 1E and F). Likewise, no hemolysis effect of PD@MSN‐FA/RGD was observed with dosage below 438.28 mg/kg in mice (Table S2). Moreover, no significant acute toxicity was observed in mice subjected to PD@MSN‐FA/RGD administration (Table S3, Figure S9) except for slight or local liver lesions, including diffuse swelling (Figure S9B5) and local necrosis (Figure S9B3 and B4) in some samples. How these lesions being induced deserved further investigation. In addition, the performance of PD@MSN‐FA/RGD in vivo was illustrated by employing a selective ion monitoring model in UHPLC‐Q‐Exactive Orbitrap MS. It displayed an extremely low content of PD@MSN‐FA/RGD in tissues except plasma, synovial fluid, and synovial membrane, suggesting a significantly targeted delivery of PD@MSN‐FA/RGD injection comparing with that of polydatin injection (Figure 1C and D, Figure S10). No significant degradation product was detected in the liver upon PD@MSN‐FA/RGD injection, suggesting a lower degradation of PD with nanoparticles embedding (Figure S11).
FIGURE 1

(A) The synthesis process of PD@MSN‐FA/RGD. (B) Drug release profiles of PD@MSN‐FA/RGD under different mass ratio (MSN/PD) of 5, 2, and 1. (C and D) Relative abundance of polydatin in plasma, heart, liver, spleen, kidney, synovial fluid, and synovial membrane tissue of rats subjected to polydatin injection (C) or PD@MSN‐FA/RGD injection (D). (E) Hemolysis assay results of MSNs as well as PD@MSN‐FA/RGD at multiple concentrations. (F) Photographs of RBCs treated with PD@MSN‐FA/RGD or MSNs under different conditions. (‐) and (+) controls are the RBCs in 0.9% sodium chloride or water, respectively. Final concentrations (mg/ml) were marked on the tubes

(A) The synthesis process of PD@MSN‐FA/RGD. (B) Drug release profiles of PD@MSN‐FA/RGD under different mass ratio (MSN/PD) of 5, 2, and 1. (C and D) Relative abundance of polydatin in plasma, heart, liver, spleen, kidney, synovial fluid, and synovial membrane tissue of rats subjected to polydatin injection (C) or PD@MSN‐FA/RGD injection (D). (E) Hemolysis assay results of MSNs as well as PD@MSN‐FA/RGD at multiple concentrations. (F) Photographs of RBCs treated with PD@MSN‐FA/RGD or MSNs under different conditions. (‐) and (+) controls are the RBCs in 0.9% sodium chloride or water, respectively. Final concentrations (mg/ml) were marked on the tubes In the collagen‐induced arthritis (CIA) model, joint damages were observed significantly improved upon PD@MSN‐FA/RGD treatment based on vertical and horizontal diameters of hind legs and ankle joints, the thickness of footpads, as well as histopathology changes in synovial membrane and cartilage tissue (Figure 2, Tables S4–S10).
FIGURE 2

H&E staining of pathological changes in ankle joints responding to different treatments. Images of right‐synovium were shown in A, and E; left‐synovium were shown in A, and E right‐cartilage were shown in A and E; left‐cartilage were shown in A and E

H&E staining of pathological changes in ankle joints responding to different treatments. Images of right‐synovium were shown in A, and E; left‐synovium were shown in A, and E right‐cartilage were shown in A and E; left‐cartilage were shown in A and E The metabolic profile of PD@MSN‐FA/RGD in synovial fluid was further studied. PCA and OPLS‐DA results showed the availability of CIA modeling as well as the significant influence of PD@MSN‐FA/RGD (R2X = 0.62, R2Y > 0.6, Q2 > 0.6) (Figure S12). Note that 115 molecules were identified from 187 ions that contributed to good separations among groups (VIP > 1 in ESI+, p < 0.05). Among the metabolites identified, 26 were found upregulated and 2 were downregulated responding to CIA modeling and significantly reversed by positive drug methotrexate and PD@MSN‐FA/RGD treatment (Table S11, Figure S13). Moreover, metabolomics analysis was performed by employing IPA software. High‐dose and low‐dose PD@MSN‐FA/RGD treatment showed compatible metabolism on the CIA model (Figure 3A and B). Numerous metabolic pathways shifted toward rheumatoid arthritis‐related intermediates and metabolic endpoints were suggested by pathway analysis (Figure 3C and D). Moreover, dramatical downregulation of PD@MSN‐FA/RGD on D‐serine, guanine, and hypoxanthine (Figure 3E–G) indicated a strong inhibition of fibroblasts proliferation. With changes in guanine, d‐serine, l‐arginine, choline, kynurenic acid, and 5‐methylcytosine, it was suggested that mitogen‐activated protein kinase (MAPK) family proteins playing key roles in PD@MSN‐FA/RGD regulation (Figure 3I). Increased expression of p38 MAPK, a crucial molecule in the progression of RA, was found significantly inversed upon administration of PD@MSN‐FA/RGD in synovial tissues (Figure 3L, P, and S). Moreover, we found δ‐guanidinovaleric acid (Figure 3H), aγ‐aminobutyric acid (GABA)‐receptor antagonist, increased significantly responding to CIA modeling, suggesting inhibition of GABA receptor. These changes were reversed by PD@MSN‐FA/RGD administration, suggesting the promotion on GABA signaling. Based on the effect of inhibited p38 MAPK on joint inflammation, and the inhibitory role of GABA in p38 MAPK signaling, a hypothesis was proposed that GABA may downregulate p38 MAPK activity to suppress inflammation in RA.
FIGURE 3

Metabolomic and transcriptomic studies on PD@MSN‐FA/RGD regulations in RA. (A–D) Biological function and pathway analysis enriched with IPA software based on metabolome data. Results based on data of model group versus high‐dose PD@MSN‐FA/RGD group (A, C); results based on data of model group versus low‐dose PD@MSN‐FA/RGD group (B, D); (E–H) production changes of d‐serine (E), guanine (F), hypoxanthine (G), and δ‐guanidinovaleric acid (H); (I) key proteins in PD@MSN‐FA/RGD regulation predicted by IPA; (J–K) top pathways (J) and up‐stream proteins (K) predicted with IPA software based on transcriptome data; (L–O) mRNA expression changes of p38 MAPK (L), SRF (M), MRTFA (N), and MRTFB (O); (P–S) protein expression changes (P) of MRTFA (Q), SRF (R), and p38 MAPK (S). Data are presented as mean ± SEM, t‐test, n = 6, *p < 0.05, **p < 0.01

Metabolomic and transcriptomic studies on PD@MSN‐FA/RGD regulations in RA. (A–D) Biological function and pathway analysis enriched with IPA software based on metabolome data. Results based on data of model group versus high‐dose PD@MSN‐FA/RGD group (A, C); results based on data of model group versus low‐dose PD@MSN‐FA/RGD group (B, D); (E–H) production changes of d‐serine (E), guanine (F), hypoxanthine (G), and δ‐guanidinovaleric acid (H); (I) key proteins in PD@MSN‐FA/RGD regulation predicted by IPA; (J–K) top pathways (J) and up‐stream proteins (K) predicted with IPA software based on transcriptome data; (L–O) mRNA expression changes of p38 MAPK (L), SRF (M), MRTFA (N), and MRTFB (O); (P–S) protein expression changes (P) of MRTFA (Q), SRF (R), and p38 MAPK (S). Data are presented as mean ± SEM, t‐test, n = 6, *p < 0.05, **p < 0.01 How does PD@MSN‐FA/RGD suppress fibroblasts proliferation via the GABA‐p38 MAPK pathway? To address this question, a transcriptomic study was carried out. Pathway analysis showed that GABA‐p38 MAPK signaling is significantly regulated by PD@MSN‐FA/RGD, consistent with that of metabolome study (Figure 3J). Intriguingly, myocardin‐related transcription factor A (MRTFA), myocardin‐related transcription factor B (MRTFB), and serum response factor (SRF) that played key roles in fibroblast activation were predicted as potential upstream regulators in PD@MSN‐FA/RGD's regulation (Figure 3K). Upregulated mRNA expressions of MRTFA, MRTFB, and SRF in the CIA model were found reversed with PD@MSN‐FA/RGD in synovial tissues to different extents (Figure 3L–O). Similar regulations were also observed at the protein level (Figure 3P–S). p38 MAPK cascades could promote the formation of ternary nucleoprotein complex and activate the early response gene transcription initiated by SRF. SRF functions in partnership with MRTFA/B and acts as a key mediator in fibroblasts activation. , Taken together, it was suggested that PD@MSN‐FA/RGD alleviated inflammation and fibroblasts proliferation in RA by regulating GABA‐p38 MAPK‐MRTFs/SRF signaling pathway (Figure 4).
FIGURE 4

The regulatory mechanism of PD@MSN‐FA/RGD in vivo

The regulatory mechanism of PD@MSN‐FA/RGD in vivo In this work, a folate/RGD‐dual‐functionalized mesoporous silica nanoparticles (MSNs‐FA/RGD) with reproducible and stable production, as well as good biocompatibility, was developed to carry PD to the synovial area to achieve promising clinical translation and application in RA therapy. Protective effects of PD@MSNs‐FA/RGD on rheumatoid arthritis were illustrated with CIA modeling rats. PD@MSNs‐FA/RGD was found targeting on GABA‐p38 MAPK‐MRTFs/SRF signaling pathway in vivo to exert its beneficial influence. We reported a novel drug of RA with both characterization and regulatory mechanism carefully discussed and clarified.

CONFLICT OF INTEREST

The authors have declared no conflict of interest.
  9 in total

1.  Impacts of mesoporous silica nanoparticle size, pore ordering, and pore integrity on hemolytic activity.

Authors:  Yu-Shen Lin; Christy L Haynes
Journal:  J Am Chem Soc       Date:  2010-04-07       Impact factor: 15.419

Review 2.  Strategies toward rheumatoid arthritis therapy; the old and the new.

Authors:  Mojtaba Abbasi; Mohammad Javad Mousavi; Sirous Jamalzehi; Reza Alimohammadi; Maryam Hasanzadeh Bezvan; Hamed Mohammadi; Saeed Aslani
Journal:  J Cell Physiol       Date:  2018-12-07       Impact factor: 6.384

Review 3.  Advances in mesoporous silica-based nanocarriers for co-delivery and combination therapy against cancer.

Authors:  Rafael R Castillo; Montserrat Colilla; María Vallet-Regí
Journal:  Expert Opin Drug Deliv       Date:  2016-07-25       Impact factor: 6.648

4.  Myocardin-related transcription factor-A complexes activate type I collagen expression in lung fibroblasts.

Authors:  Larry L Luchsinger; Cassandra A Patenaude; Barbara D Smith; Matthew D Layne
Journal:  J Biol Chem       Date:  2011-11-02       Impact factor: 5.157

Review 5.  Actin' together: serum response factor, its cofactors and the link to signal transduction.

Authors:  Guido Posern; Richard Treisman
Journal:  Trends Cell Biol       Date:  2006-10-10       Impact factor: 20.808

6.  Method for analysis of nanoparticle hemolytic properties in vitro.

Authors:  Marina A Dobrovolskaia; Jeffrey D Clogston; Barry W Neun; Jennifer B Hall; Anil K Patri; Scott E McNeil
Journal:  Nano Lett       Date:  2008-07-08       Impact factor: 11.189

7.  Myocardin-related transcription factors A and B are key regulators of TGF-β1-induced fibroblast to myofibroblast differentiation.

Authors:  Beverly J Crider; George M Risinger; Carol J Haaksma; Eric W Howard; James J Tomasek
Journal:  J Invest Dermatol       Date:  2011-07-21       Impact factor: 8.551

Review 8.  Mesoporous silica nanoparticles for stimuli-responsive controlled drug delivery: advances, challenges, and outlook.

Authors:  Yuanhui Song; Yihong Li; Qien Xu; Zhe Liu
Journal:  Int J Nanomedicine       Date:  2016-12-20

Review 9.  Does gamma-aminobutyric acid (GABA) influence the development of chronic inflammation in rheumatoid arthritis?

Authors:  James M Kelley; Laura B Hughes; S Louis Bridges
Journal:  J Neuroinflammation       Date:  2008-01-03       Impact factor: 8.322

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.