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Xie H, Zhao J, Wang S, Kong L, Li X, Aga E, Gong Ga LZ, Ye B. PH-sensitive BSA-modified resveratrol micelles targeting macrophages alleviate symptoms of rheumatoid arthritis. Int Immunopharmacol 2024; 136:112324. [PMID: 38820967 DOI: 10.1016/j.intimp.2024.112324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 05/09/2024] [Accepted: 05/19/2024] [Indexed: 06/02/2024]
Abstract
Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease, leading to severe inflammatory infiltration and joint damage, accompanied by a decrease in pH of joint microenvironment. Macrophages play an important role in the pathogenesis of RA, with high expression of bovine serum albumin (BSA) receptors on the surface of macrophages. Resveratrol (Res) has strong anti-inflammatory effects, but its application is limited due to its poor water solubility and low bioavailability. Therefore, we constructed pH-sensitive micelles by encapsulating Res and modifying BSA on the surface of the micelles (BSA-Res@Ms), thereby greatly improving the therapeutic effect of RA. Our research results indicated that BSA-Res@Ms had a smooth and uniform appearance, small particle size, high drug encapsulation efficiency, good stability, and pH-sensitive properties. In vitro, BSA-Res@Ms increased the uptake of Res by RAW264.7 cells, reduced the levels of pro-inflammatory cytokines and cleared excess ROS produced by activated RAW264.7 cells, and inhibited the generation of osteoclasts. In vivo, BSA-Res@Ms could target inflamed joint sites, significantly alleviate joint inflammation symptoms, inhibit activated macrophages, improve synovial hyperplasia and inflammatory cell infiltration, and protect cartilage. BSA-Res@Ms provide a very promising method for the treatment of RA, which can effectively improve the inflammatory manifestations of RA.
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Affiliation(s)
- Hongjun Xie
- Tibet University Medical College, NO.10 Zangda East Road, Tibet 850000, China
| | - Jing Zhao
- Tibet University Medical College, NO.10 Zangda East Road, Tibet 850000, China
| | - Shuo Wang
- Tibet University Medical College, NO.10 Zangda East Road, Tibet 850000, China
| | - Liang Kong
- School of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China
| | - Xuetao Li
- School of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China
| | - Erbu Aga
- Tibet University Medical College, NO.10 Zangda East Road, Tibet 850000, China
| | - Lan Zi Gong Ga
- Tibet University Medical College, NO.10 Zangda East Road, Tibet 850000, China.
| | - Bengui Ye
- Tibet University Medical College, NO.10 Zangda East Road, Tibet 850000, China.
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2
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An X, Yang J, Cui X, Zhao J, Jiang C, Tang M, Dong Y, Lin L, Li H, Wang F. Advances in local drug delivery technologies for improved rheumatoid arthritis therapy. Adv Drug Deliv Rev 2024; 209:115325. [PMID: 38670229 DOI: 10.1016/j.addr.2024.115325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 03/25/2024] [Accepted: 04/23/2024] [Indexed: 04/28/2024]
Abstract
Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease characterized by an inflammatory microenvironment and cartilage erosion within the joint cavity. Currently, antirheumatic agents yield significant outcomes in RA treatment. However, their systemic administration is limited by inadequate drug retention in lesion areas and non-specific tissue distribution, reducing efficacy and increasing risks such as infection due to systemic immunosuppression. Development in local drug delivery technologies, such as nanostructure-based and scaffold-assisted delivery platforms, facilitate enhanced drug accumulation at the target site, controlled drug release, extended duration of the drug action, reduced both dosage and administration frequency, and ultimately improve therapeutic outcomes with minimized damage to healthy tissues. In this review, we introduced pathogenesis and clinically used therapeutic agents for RA, comprehensively summarized locally administered nanostructure-based and scaffold-assisted drug delivery systems, aiming at improving the therapeutic efficiency of RA by alleviating the inflammatory response, preventing bone erosion and promoting cartilage regeneration. In addition, the challenges and future prospects of local delivery for clinical translation in RA are discussed.
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Affiliation(s)
- Xiaoran An
- School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Jiapei Yang
- School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Xiaolin Cui
- School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Jiaxuan Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Chenwei Jiang
- School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Minglu Tang
- School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Yabing Dong
- Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, PR China
| | - Longfei Lin
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China
| | - Hui Li
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China; Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang 330000, PR China
| | - Feihu Wang
- School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China.
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Hu J, Yang F, Liu C, Wang N, Xiao Y, Zhai Y, Wang X, Zhang R, Gao L, Xu M, Wang J, Liu Z, Huang S, Liu W, Hu Y, Liu F, Guo Y, Wang L, Yuan J, Zhang Z, Chu J. UFObow: A single-wavelength excitable Brainbow for simultaneous multicolor ex-vivo and in-vivo imaging of mammalian cells. Commun Biol 2024; 7:394. [PMID: 38561421 PMCID: PMC10984974 DOI: 10.1038/s42003-024-06062-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024] Open
Abstract
Brainbow is a genetic cell-labeling technique that allows random colorization of multiple cells and real-time visualization of cell fate within a tissue, providing valuable insights into understanding complex biological processes. However, fluorescent proteins (FPs) in Brainbow have distinct excitation spectra with peak difference greater than 35 nm, which requires sequential imaging under multiple excitations and thus leads to long acquisition times. In addition, they are not easily used together with other fluorophores due to severe spectral bleed-through. Here, we report the development of a single-wavelength excitable Brainbow, UFObow, incorporating three newly developed blue-excitable FPs. We have demonstrated that UFObow enables not only tracking the growth dynamics of tumor cells in vivo but also mapping spatial distribution of immune cells within a sub-cubic centimeter tissue, revealing cell heterogeneity. This provides a powerful means to explore complex biology in a simultaneous imaging manner at a single-cell resolution in organs or in vivo.
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Affiliation(s)
- Jiahong Hu
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Fangfang Yang
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Chong Liu
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Nengzhi Wang
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Yinghan Xiao
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yujie Zhai
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Xinru Wang
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Ren Zhang
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Lulu Gao
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Mengli Xu
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, Hainan, 570228, China
| | - Jialu Wang
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Zheng Liu
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, Hainan, 570228, China
| | - Songlin Huang
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, Hainan, 570228, China
| | - Wenfeng Liu
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yajing Hu
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Feng Liu
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yuqi Guo
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Liang Wang
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jing Yuan
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
| | - Zhihong Zhang
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, Hainan, 570228, China.
| | - Jun Chu
- Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology & CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Biomedical Imaging Science and System Key Laboratory, Chinese Academy of Sciences, Shenzhen, 518055, China.
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Shi L, Zou H, Yi J. Construction of shared gene signature between rheumatoid arthritis and lung adenocarcinoma helps to predict the prognosis and tumor microenvironment of the LUAD patients. Front Mol Biosci 2024; 10:1314753. [PMID: 38268722 PMCID: PMC10806137 DOI: 10.3389/fmolb.2023.1314753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/26/2023] [Indexed: 01/26/2024] Open
Abstract
Introduction: Rheumatoid arthritis (RA) is a common chronic autoimmune disease with high incidence rate and high disability rate. One of the top complications is cancer, especially lung adenocarcinoma (LUAD). However, the molecular mechanisms linking RA and LUAD are still not clear. Therefore, in this study, we tried to identify the shared genetic signatures and local immune microenvironment between RA and LUAD and construct a clinical model for survival prediction. Methods: We obtained gene expression profiles and clinical information of patients with RA and LUAD from GEO and TCGA datasets. We performed differential analysis and Weighted Gene Co-expression Network Analysis (WGCNA) to discover the shared genes between RA and LUAD. Then, COX regression and LASSO analysis were employed to figure out genes significantly associated with survival. qRT-PCR and Western blot were utilized to validate the expression level of candidate genes. For clinical application, we constructed a nomogram, and also explored the value of RALUADS in characterizing immune infiltration features by CIBERSORT and xCell. Finally, responses to different drug therapy were predicted according to different RALUADS. Results: Our analysis identified two gene sets from differentially expressed genes and WGCNA gene modules of RA and LUAD. Filtered by survival analysis, three most significant shared genes were selected, CCN6, CDCA4 and ERLIN1, which were all upregulated in tumors and associated with poor prognosis. The three genes constituted RA and LUAD score (RALUADS). Our results demonstrated that RALUADS was higher in tumor patients and predicted poor prognosis in LUAD patients. Clinical nomogram combining RALUADS and other clinicopathological parameters had superior performance in survival prediction (AUC = 0.722). We further explored tumor immune microenvironment (TME) affected by RALUADS and observed RALUADS was closely related to the sensitivity of multiple immune blockades, chemotherapy and targeted drugs. Conclusion: Our findings suggest that there are shared physiopathologic processes and molecular profiles between RA and LUAD. RALUADS represents an excellent prognosis predictor and immune-related biomarker, which can be applied to select potential effective drugs and for LUAD patients with RA.
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Affiliation(s)
- Liping Shi
- Department of Pharmacology, Gannan Healthcare Vocational College, Ganzhou, China
| | - Houwen Zou
- Department of Pharmacology, Dermatology Hospital of Ganzhou, Ganzhou, China
| | - Jian Yi
- Department of General Surgery, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
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Guo C, Diao N, Zhang D, Cao M, Wang W, Geng H, Kong M, Chen D. Achyranthes polysaccharide based dual-responsive nano-delivery system for treatment of rheumatoid arthritis. Int J Biol Macromol 2023; 234:123677. [PMID: 36796562 DOI: 10.1016/j.ijbiomac.2023.123677] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 02/04/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023]
Abstract
Achyranthes plays the role of dredging the meridians and clearing the joints with a certain anti-inflammatory effect, peripheral analgesic activity and central analgesic activity. A novel self-assembled nanoparticles containing Celastrol (Cel) with matrix metalloproteinase (MMP)-sensitive chemotherapy-sonodynamic therapy was fabricated targeting macrophages at the inflammatory site of rheumatoid arthritis. Dextran sulfate (DS) with highly expressed SR-A receptor on the surface of macrophages is used to specifically target the site of inflammation; by introducing PVGLIG enzyme-sensitive polypeptides and ROS-responsive bonds, it can achieve the desired effect on MMP-2/9 and reactive oxygen species at the joint site. The preparation forms DS-PVGLIG-Cel&Abps-thioketal-Cur@Cel nanomicelles, referred to as D&A@Cel. The resulting micelles had an average size of 204.8 nm and the zeta potential -16.46 mV. The results show that activated macrophages can effectively capture Cel in in vivo experiments, indicating that Cel delivered by nanoparticles can significantly improve bioavailability.
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Affiliation(s)
- Chunjing Guo
- College of Marine Life Science, Ocean University of China, Qingdao 266003, PR China
| | - Ningning Diao
- School of Pharmacy, Yantai University, Yantai 264005, PR China
| | - Dandan Zhang
- School of Pharmacy, Yantai University, Yantai 264005, PR China
| | - Min Cao
- School of Pharmacy, Yantai University, Yantai 264005, PR China
| | - Wenxin Wang
- School of Pharmacy, Yantai University, Yantai 264005, PR China
| | - Hongxu Geng
- School of Pharmacy, Yantai University, Yantai 264005, PR China
| | - Ming Kong
- College of Marine Life Science, Ocean University of China, Qingdao 266003, PR China.
| | - Daquan Chen
- School of Pharmacy, Yantai University, Yantai 264005, PR China.
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