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Kong X, Wang J, Chen R, Sun Y, Chen H, Ma L, Jiang L. Exploration of molecular signatures associated with different clinical features of Takayasu arteritis based on a prospective cohort study. Clin Immunol 2023; 256:109794. [PMID: 37774906 DOI: 10.1016/j.clim.2023.109794] [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: 07/29/2023] [Revised: 09/18/2023] [Accepted: 09/25/2023] [Indexed: 10/01/2023]
Abstract
Takayasu arteritis (TAK) is complicated disorder without reliable biomarkers. Here, we aimed to explore TAK-associated factor panels and their changes after biologic treatment. Five factor panels were identified: 1. systemic inflammation: C3, ESR, CRP, PLT, IL-6, C4, and IgG; 2. vascular inflammation: YKL40, IL-16, PTX3, and CCL2; 3. immune regulation panel: IL-10, IFN-γ, CCL5, and MMP1; 4. angiogenesis and fibrosis: FGF, PDGFAB, and VEGF; and 5. vascular remodeling: CD19+ B cell ratio, MMP3, and leptin. Panel 1 parameters were closely related to disease activity, while Panel 5 parameters, particularly CD19+ B cell ratio and leptin, were significantly higher in ischemic patients. After treatment, tocilizumab had a stronger inhibitory effect on Panel 1 parameters, PTX3, and YKL-40, while adalimumab led to an increase in IL-16, CCL2, and leptin levels. Altogether, these data expanded our knowledge regarding molecular background in TAK development and shed light on precise treatment in future studies.
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Affiliation(s)
- Xiufang Kong
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jinghua Wang
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Rongyi Chen
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Sun
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Huiyong Chen
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lili Ma
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lindi Jiang
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China; Center of Clinical Epidemiology and Evidence-based Medicine, Fudan University, Shanghai, China.
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Misra DP, Jain N, Ora M, Singh K, Agarwal V, Sharma A. Outcome Measures and Biomarkers for Disease Assessment in Takayasu Arteritis. Diagnostics (Basel) 2022; 12:diagnostics12102565. [PMID: 36292253 PMCID: PMC9601573 DOI: 10.3390/diagnostics12102565] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 10/16/2022] [Accepted: 10/18/2022] [Indexed: 12/05/2022] Open
Abstract
Takayasu arteritis (TAK) is a less common large vessel vasculitis where histopathology of involved arteries is difficult to access except during open surgical procedures. Assessment of disease activity in TAK, therefore, relies on surrogate measures. Clinical disease activity measures such as the National Institutes of Health (NIH) score, the Disease Extent Index in TAK (DEI.TAK) and the Indian TAK Clinical Activity Score (ITAS2010) inconsistently associate with acute phase reactants (APRs). Computerized tomographic angiography (CTA), magnetic resonance angiography (MRA), or color Doppler Ultrasound (CDUS) enables anatomical characterization of stenosis, dilatation, and vessel wall characteristics. Vascular wall uptake of 18-fluorodeoxyglucose or other ligands using positron emission tomography computerized tomography (PET-CT) helps assess metabolic activity, which reflects disease activity well in a subset of TAK with normal APRs. Angiographic scoring systems to quantitate the extent of vascular involvement in TAK have been developed recently. Erythrocyte sedimentation rate and C-reactive protein have a moderate performance in distinguishing active TAK. Numerous novel biomarkers are under evaluation in TAK. Limited literature suggests a better assessment of active disease by combining APRs, PET-CT, and circulating biomarkers. Validated damage indices and patient-reported outcome measures specific to TAK are lacking. Few biomarkers have been evaluated to reflect vascular damage in TAK and constitute important research agenda.
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Affiliation(s)
- Durga Prasanna Misra
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow 226014, India
- Correspondence: (D.P.M.); (A.S.)
| | - Neeraj Jain
- Department of Radiodiagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow 226014, India
| | - Manish Ora
- Department of Nuclear Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow 226014, India
| | - Kritika Singh
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow 226014, India
| | - Vikas Agarwal
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow 226014, India
| | - Aman Sharma
- Clinical Immunology and Rheumatology Services, Department of Internal Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India
- Correspondence: (D.P.M.); (A.S.)
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Shi H, Wu H, Winkler MA, Belin de Chantemèle EJ, Lee R, Kim HW, Weintraub NL. Perivascular adipose tissue in autoimmune rheumatic diseases. Pharmacol Res 2022; 182:106354. [PMID: 35842184 PMCID: PMC10184774 DOI: 10.1016/j.phrs.2022.106354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/27/2022] [Accepted: 07/11/2022] [Indexed: 01/14/2023]
Abstract
Perivascular adipose tissue (PVAT) resides at the outermost boundary of the vascular wall, surrounding most conduit blood vessels, except for the cerebral vessels, in humans. A growing body of evidence suggests that inflammation localized within PVAT may contribute to the pathogenesis of cardiovascular disease (CVD). Patients with autoimmune rheumatic diseases (ARDs), e.g., systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), psoriasis, etc., exhibit heightened systemic inflammation and are at increased risk for CVD. Data from clinical studies in patients with ARDs support a linkage between dysfunctional adipose tissue, and PVAT in particular, in disease pathogenesis. Here, we review the data linking PVAT to the pathogenesis of CVD in patients with ARDs, focusing on the role of novel PVAT imaging techniques in defining disease risk and responses to biological therapies.
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Affiliation(s)
- Hong Shi
- Division of Rheumatology, Medical College of Georgia at Augusta University, Augusta, GA, USA; Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Hanping Wu
- Department of Radiology and Imaging, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Michael A Winkler
- Department of Radiology and Imaging, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Eric J Belin de Chantemèle
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA; Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Richard Lee
- Department of Surgery, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Ha Won Kim
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA; Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, USA
| | - Neal L Weintraub
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA; Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, USA.
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Tian Y, Li J, Tian X, Zeng X. Using the co-expression network of T cell-activation-related genes to assess the disease activity in Takayasu's arteritis patients. Arthritis Res Ther 2021; 23:303. [PMID: 34915894 PMCID: PMC8675511 DOI: 10.1186/s13075-021-02636-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/28/2021] [Indexed: 02/02/2023] Open
Abstract
Background There have been lacking reliable serum biomarkers in assessing the disease activity of Takayasu’s arteritis (TAK). This study aimed to assess the disease activity of TAK by assayed gene expression levels in peripheral mononuclear cells (PBMCs). Methods The expression level of genes that essential in T cell activation in PBMCs in active TAK patients, inactive TAK patients, and healthy controls were detected by real-time fluorescence quantitative polymerase chain reaction, including TCR, CD28, CD40, CD40L, PD-1, PD-L1, PD-L2, CTLA4, TIGIT, TIM3, LAG3, CCL5, T-bet, RORC, and FOXP3. Gene co-expression network was established, and the signature of the topology structure in active TAK patients compared to the inactive TAK patients were extracted and described by formulas. Respectively, the disease activity was assessed by the routine serum biomarkers, including ESR, CRP, IL-6, and TNF-α, the gene expression level of TCR, CD28, T-bet, and RORC, as well as the signature of the topology structure, and the diagnostic efficacies were compared. Results Compared with the inactive TAK patient group, the active TAK patient group had a greater clustering coefficient in the network consisting of genes that essential in T cell activation. When assessing the disease activity used this signature of topology structure, the sensitivity was 90.9%, the specificity was 100%, and the AUC was 0.98, which was greater than the AUCs of these biomarkers. Conclusions The signature of the topology structure could distinguish the active TAK patients from inactive TAK patients. This maybe is a novel evaluation algorithm of disease activity. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-021-02636-2.
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Affiliation(s)
- Yixiao Tian
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, No.1 Shuai-Fu-yuan, Dongcheng District, Beijing, 100730, China
| | - Jing Li
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, No.1 Shuai-Fu-yuan, Dongcheng District, Beijing, 100730, China.
| | - Xinping Tian
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, No.1 Shuai-Fu-yuan, Dongcheng District, Beijing, 100730, China.
| | - Xiaofeng Zeng
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (PUMCH), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, No.1 Shuai-Fu-yuan, Dongcheng District, Beijing, 100730, China
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Ma L, Yu W, Dai X, Yin M, Wang Y, Sun Y, Kong X, Cui X, Wu S, Ji Z, Ma L, Chen H, Lin J, Jiang L. Serum leptin, a potential predictor of long-term angiographic progression in Takayasu's arteritis. Int J Rheum Dis 2019; 22:2134-2142. [PMID: 31595672 PMCID: PMC6916353 DOI: 10.1111/1756-185x.13718] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 08/01/2019] [Accepted: 09/10/2019] [Indexed: 11/27/2022]
Abstract
Aim In patients with Takayasu's arteritis (TA), current biomarkers that properly reflect the progression of the vascular structure remain absent. We aimed to determine the serum leptin level to investigate its relationship with imaging changes and assess its value as a predictor for long‐term radiological progression. Method This study included 34 untreated TA patients and 40 age‐matched healthy controls. At baseline and during the 5‐year follow‐up, we assessed disease activity using Kerr's criteria and Indian Takayasu Clinical Activity Score (ITAS2010) and monitored laboratory biomarkers as well as imaging findings. Serum leptin levels were measured by enzyme‐linked immunosorbent assay. Results The baseline serum leptin levels were significantly higher in TA patients than in healthy controls. Leptin was significantly positively correlated with triglyceride and high‐density lipoprotein cholesterol levels and negatively correlated with fibrinogen and C‐reactive protein levels. Patients were subdivided into three groups based on their baseline leptin level. During a 5‐year follow‐up, patients in the high and medium leptin groups showed more radiological progression compared to those in the low leptin group. Cox proportional hazard regression analysis showed that a high serum leptin level was a positive predictor of radiological progression. Conclusion Leptin is a potential biomarker for assessing TA structural progression. Untreated patients with elevated serum leptin levels are at a higher risk of progression in the aorta. Thus, the leptin level can be a predictor of long‐term radiological progression.
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Affiliation(s)
- Lili Ma
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.,Evidence-based medicine center, Fudan University, Shanghai, China
| | - Wensu Yu
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaomin Dai
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mengmeng Yin
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yujiao Wang
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Sun
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiufang Kong
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaomeng Cui
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Sifan Wu
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zongfei Ji
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lingying Ma
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Huiyong Chen
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiang Lin
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Lindi Jiang
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.,Evidence-based medicine center, Fudan University, Shanghai, China
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