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Zhang T, Wang X, Wang D, Lei M, Hu Y, Chen Z, Li Y, Luo Y, Zhang L, Zhu Y. Synergistic effects of photodynamic therapy and chemotherapy: Activating the intrinsic/extrinsic apoptotic pathway of anoikis for triple-negative breast cancer treatment. BIOMATERIALS ADVANCES 2024; 160:213859. [PMID: 38642515 DOI: 10.1016/j.bioadv.2024.213859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/23/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
Triple-negative breast cancer (TNBC) is a highly invasive and metastatic subtype of breast cancer that often recurs after surgery. Herein, we developed a cyclodextrin-based tumor-targeted nano delivery system that incorporated the photosensitizer chlorin e6 (Ce6) and the chemotherapeutic agent lonidamine (LND) to form the R6RGD-CMβCD-se-se-Ce6/LND nanoparticles (RCC/LND NPS). This nanosystem could target cancer cells, avoid lysosomal degradation and further localize within the mitochondria. The RCC/LND NPS had pH and redox-responsive to control the release of Ce6 and LND. Consequently, the nanosystem had a synergistic effect by effectively alleviating hypoxia, enhancing the production of cytotoxic reactive oxygen species (ROS) and amplifying the efficacy of photodynamic therapy (PDT). Furthermore, the RCC/LND NPS + light weakened anoikis resistance, disrupted extracellular matrix (ECM), activated both the intrinsic apoptotic pathway (mitochondrial pathway) and extrinsic apoptotic pathway (receptor death pathway) of anoikis. In addition, the nanosystem showed significant anti-TNBC efficacy in vivo. These findings collectively demonstrated that RCC/LND NPS + light enhanced the anticancer effects, induced anoikis and inhibited tumor cell migration and invasion through a synergistic effect of chemotherapy and PDT. Overall, this study highlighted the promising potential of the RCC/LND NPS + light for the treatment of TNBC.
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Affiliation(s)
- Tianyu Zhang
- School of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Xueyuan Wang
- College of Life Science, Nanjing Normal University, Nanjing 210023, China
| | - Dongna Wang
- School of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Meng Lei
- College of Science, Nanjing Forestry University, Nanjing 210037, China
| | - Yixue Hu
- College of Life Science, Nanjing Normal University, Nanjing 210023, China
| | - Zhimeng Chen
- College of Science, Nanjing Forestry University, Nanjing 210037, China
| | - Yuting Li
- School of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Yingnan Luo
- School of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Liefeng Zhang
- College of Life Science, Nanjing Normal University, Nanjing 210023, China; School of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China.
| | - Yongqiang Zhu
- College of Life Science, Nanjing Normal University, Nanjing 210023, China; School of Food and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China.
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Zhao J, Xu L, Wei K, Jiang P, Chang C, Xu L, Shi Y, Zheng Y, Shan Y, Zheng Y, Shen Y, Liu J, Guo S, Wang R, He D. Identification of clinical characteristics biomarkers for rheumatoid arthritis through targeted DNA methylation sequencing. Int Immunopharmacol 2024; 131:111860. [PMID: 38508093 DOI: 10.1016/j.intimp.2024.111860] [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: 01/13/2024] [Revised: 02/24/2024] [Accepted: 03/11/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVES Rheumatoid arthritis (RA) is a complex disease with a challenging diagnosis, especially in seronegative patients. The aim of this study is to investigate whether the methylation sites associated with the overall immune response in RA can assist in clinical diagnosis, using targeted methylation sequencing technology on peripheral venous blood samples. METHODS The study enrolled 241 RA patients, 30 osteoarthritis patients (OA), and 30 healthy volunteers control (HC). Fifty significant cytosine guanine (CG) sites between undifferentiated arthritis and RA were selected and analyzed using targeted DNA methylation sequencing. Logistic regression models were used to establish diagnostic models for different clinical features of RA, and six machine learning methods (logit model, random forest, support vector machine, adaboost, naive bayes, and learning vector quantization) were used to construct clinical diagnostic models for different subtypes of RA. Least absolute shrinkage and selection operator regression and detrended correspondence analysis were utilized to screen for important CGs. Spearman correlation was used to calculate the correlation coefficient. RESULTS The study identified 16 important CG sites, including tumor necrosis factort receptor associated factor 5 (TRAF5) (chr1:211500151), mothers against decapentaplegic homolog 3 (SMAD3) (chr15:67357339), tumor endothelial marker 1 (CD248) (chr11:66083766), lysosomal trafficking regulator (LYST) (chr1:235998714), PR domain zinc finger protein 16 (PRDM16) (chr1:3307069), A-kinase anchoring protein 10 (AKAP10) (chr17:19850460), G protein subunit gamma 7 (GNG7) (chr19:2546620), yes1 associated transcriptional regulator (YAP1) (chr11:101980632), PRDM16 (chr1:3163969), histone deacetylase complex subunit sin3a (SIN3A) (chr15:75747445), prenylated rab acceptor protein 2 (ARL6IP5) (chr3:69134502), mitogen-activated protein kinase kinase kinase 4 (MAP3K4) (chr6:161412392), wnt family member 7A (WNT7A) (chr3:13895991), inhibin subunit beta B (INHBB) (chr2:121107018), deoxyribonucleic acid replication helicase/nuclease 2 (DNA2) (chr10:70231628) and chromosome 14 open reading frame 180 (C14orf180) (chr14:105055171). Seven CG sites showed abnormal changes between the three groups (P < 0.05), and 16 CG sites were significantly correlated with common clinical indicators (P < 0.05). Diagnostic models constructed using different CG sites had an area under the receiver operating characteristic curve (AUC) range of 0.64-0.78 for high-level clinical indicators of high clinical value, with specificity ranging from 0.42 to 0.77 and sensitivity ranging from 0.57 to 0.88. The AUC range for low-level clinical indicators of high clinical value was 0.63-0.72, with specificity ranging from 0.48 to 0.74 and sensitivity ranging from 0.72 to 0.88. Diagnostic models constructed using different CG sites showed good overall diagnostic accuracy for the four subtypes of RA, with an accuracy range of 0.61-0.96, a balanced accuracy range of 0.46-0.94, and an AUC range of 0.46-0.94. CONCLUSIONS This study identified potential clinical diagnostic biomarkers for RA and provided novel insights into the diagnosis and subtyping of RA. The use of targeted deoxyribonucleic acid (DNA) methylation sequencing and machine learning methods for establishing diagnostic models for different clinical features and subtypes of RA is innovative and can improve the accuracy and efficiency of RA diagnosis.
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Affiliation(s)
- Jianan Zhao
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Lingxia Xu
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Kai Wei
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Ping Jiang
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Cen Chang
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Linshuai Xu
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Yiming Shi
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Yixin Zheng
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Yu Shan
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Yuejuan Zheng
- The Research Center for Traditional Chinese Medicine, Shanghai Institute of Infectious Diseases and Biosecurity, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yi Shen
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Jia Liu
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Shicheng Guo
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Rongsheng Wang
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Dongyi He
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
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Ma XN, Feng W, Li N, Chen SL, Zhong XQ, Chen JX, Lin CS, Xu Q. Leonurine alleviates rheumatoid arthritis by regulating the Hippo signaling pathway. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 123:155243. [PMID: 38056147 DOI: 10.1016/j.phymed.2023.155243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 11/01/2023] [Accepted: 11/24/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Rheumatoid arthritis (RA) is a chronic autoimmune disease that can cause joint inflammation and damage. Leonurine (LE) is an alkaloid found in Leonurus heterophyllus. It has anti-inflammatory effects. HYPOTHESIS/PURPOSE The molecular mechanisms by which LE acts in RA are unclear and further investigation is required. METHODS Mice with collagen-induced arthritis (CIA), and RA-fibroblast-like synoviocytes (FLSs) isolated from them were used as in vivo and in vitro models of RA, respectively. The therapeutic effects of LE on CIA-induced joint injury were investigated by micro-computed tomography, and staining with hematoxylin and eosin and Safranin-O/Fast Green. Cell Counting Kit-8, a Transwell® chamber, enzyme-linked immunosorbent assays, RT-qPCR, and western blotting were used to investigate the effects of LE on RA-FLS viability, migratory capacity, inflammation, microRNA-21 (miR-21) levels, the Hippo signaling pathway, and the effects and intrinsic mechanisms of related proteins. Dual luciferase was used to investigate the binding of miR-21 to YOD1 deubiquitinase (YOD1) and yes-associated protein (YAP). Immunofluorescence was used to investigate the localization of YAP within the nucleus and cytoplasm. RESULTS Treatment with LE significantly inhibited joint swelling, bone damage, synovial inflammation, and proteoglycan loss in the CIA mice. It also reduced the proliferation, cell colonization, migration/invasion, and inflammation levels of RA-FLSs, and promoted miR-21 expression in vitro. The effects of LE on RA-FLSs were enhanced by an miR-21 mimic and reversed by an miR-21 inhibitor. The dual luciferase investigation confirmed that both YOD1 and YAP are direct targets of miR-21. Treatment with LE activated the Hippo signaling pathway, and promoted the downregulation and dephosphorylation of MST1 and LATS1 in RA, while inhibiting the activation of YOD1 and YAP. Regulation of the therapeutic effects of LE by miR-21 was counteracted by YOD1 overexpression, which caused the phosphorylation of YAP and prevented its nuclear ectopic position, thereby reducing LE effect on pro-proliferation-inhibiting apoptosis target genes. CONCLUSION LE regulates the Hippo signaling pathway through the miR-21/YOD1/YAP axis to reduce joint inflammation and bone destruction in CIA mice, thereby inhibiting the growth and inflammation of RA-FLSs. LE has potential for the treatment of RA.
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Affiliation(s)
- Xiao-Na Ma
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, China; Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Wei Feng
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, China; Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Nan Li
- Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China
| | - Shu-Lin Chen
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, China; Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Xiao-Qin Zhong
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, China; Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Jia-Xu Chen
- Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China
| | - Chang-Song Lin
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, China; Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
| | - Qiang Xu
- State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 510405, China; Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
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Zhao J, Wei K, Shi Y, Jiang P, Xu L, Chang C, Xu L, Zheng Y, Shan Y, Liu J, Li L, Guo S, Schrodi SJ, Wang R, He D. Identification of immunological characterization and Anoikis-related molecular clusters in rheumatoid arthritis. Front Mol Biosci 2023; 10:1202371. [PMID: 38046810 PMCID: PMC10691379 DOI: 10.3389/fmolb.2023.1202371] [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: 04/08/2023] [Accepted: 11/07/2023] [Indexed: 12/05/2023] Open
Abstract
Objective: To investigate the potential association between Anoikis-related genes, which are responsible for preventing abnormal cellular proliferation, and rheumatoid arthritis (RA). Methods: Datasets GSE89408, GSE198520, and GSE97165 were obtained from the GEO with 282 RA patients and 28 healthy controls. We performed differential analysis of all genes and HLA genes. We performed a protein-protein interaction network analysis and identified hub genes based on STRING and cytoscape. Consistent clustering was performed with subgrouping of the disease. SsGSEA were used to calculate immune cell infiltration. Spearman's correlation analysis was employed to identify correlations. Enrichment scores of the GO and KEGG were calculated with the ssGSEA algorithm. The WGCNA and the DGIdb database were used to mine hub genes' interactions with drugs. Results: There were 26 differentially expressed Anoikis-related genes (FDR = 0.05, log2FC = 1) and HLA genes exhibited differential expression (P < 0.05) between the disease and control groups. Protein-protein interaction was observed among differentially expressed genes, and the correlation between PIM2 and RAC2 was found to be the highest; There were significant differences in the degree of immune cell infiltration between most of the immune cell types in the disease group and normal controls (P < 0.05). Anoikis-related genes were highly correlated with HLA genes. Based on the expression of Anoikis-related genes, RA patients were divided into two disease subtypes (cluster1 and cluster2). There were 59 differentially expressed Anoikis-related genes found, which exhibited significant differences in functional enrichment, immune cell infiltration degree, and HLA gene expression (P < 0.05). Cluster2 had significantly higher levels in all aspects than cluster1 did. The co-expression network analysis showed that cluster1 had 51 hub differentially expressed genes and cluster2 had 72 hub differentially expressed genes. Among them, three hub genes of cluster1 were interconnected with 187 drugs, and five hub genes of cluster2 were interconnected with 57 drugs. Conclusion: Our study identified a link between Anoikis-related genes and RA, and two distinct subtypes of RA were determined based on Anoikis-related gene expression. Notably, cluster2 may represent a more severe state of RA.
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Affiliation(s)
- Jianan Zhao
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Kai Wei
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Yiming Shi
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Ping Jiang
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Lingxia Xu
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Cen Chang
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Linshuai Xu
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Yixin Zheng
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Yu Shan
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Jia Liu
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
- Arthritis Institute of Integrated Traditional and Western Medicine, Shanghai Chinese Medicine Research Institute, Shanghai, China
| | - Li Li
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
- Arthritis Institute of Integrated Traditional and Western Medicine, Shanghai Chinese Medicine Research Institute, Shanghai, China
| | - Shicheng Guo
- Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, WIUnited States
- Department of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Steven J. Schrodi
- Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, WIUnited States
- Department of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Rongsheng Wang
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
| | - Dongyi He
- 1Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
- Arthritis Institute of Integrated Traditional and Western Medicine, Shanghai Chinese Medicine Research Institute, Shanghai, China
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Detachment promotes RA synovial fibroblast survival and invasiveness. Nat Rev Rheumatol 2022; 18:432. [PMID: 35817869 DOI: 10.1038/s41584-022-00812-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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