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43 results on '"Yan, Songxin"'

11. Dynamic landscape mapping of humoral immunity to SARS-CoV-2 identifies non-structural protein antibodies associated with the survival of critical COVID-19 patients

Author

Cheng, Linlin, Zhang, Xiaomei, Chen, Yu, Wang, Dan, Zhang, Dong, Yan, Songxin, Wang, Hongye, Xiao, Meng, Liang, Te, Li, Haolong, Xu, Meng, Hou, Xin, Dai, jiayu, Wu, Xian, Li, Mingyuan, Lu, Minya, Wu, Dong, Tian, Ran, Zhao, Jing, Zhang, Yan, Cao, Wei, Wang, Jinglan, Yan, Xiaowei, Zhou, Xiang, Liu, Zhengyin, Xu, Yingchun, He, Fuchu, Li, Yongzhe, Yu, Xiaobo, and Zhang, Shuyang

Published
2021
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17. Proteomics Landscape Mapping of Organ‐Resolved Behçet's Disease Using In‐Depth Plasma Proteomics for Identifying Hyaluronic Binding Protein 2 Expression Associated With Vascular Involvement

Author

Cheng, Linlin, primary, Wang, Dongxue, additional, Wang, Zhimian, additional, Li, Haolong, additional, Wang, Guibin, additional, Wu, Ziyan, additional, Xu, Meng, additional, Yan, Songxin, additional, Zhan, Haoting, additional, Wang, Hongye, additional, Zhang, Xiaomei, additional, Liang, Te, additional, Wei, Chundi, additional, Zhang, Fengchun, additional, Zheng, Wenjie, additional, Yu, Xiaobo, additional, and Li, Yongzhe, additional

Published
2023
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19. Additional file 2 of Distinct metabolic biomarkers to distinguish IgG4-related disease from Sjogren’s syndrome and pancreatic cancer and predict disease prognosis

Author

Yan, Songxin, Peng, Yu, Wu, Ziyan, Cheng, Linlin, Li, Haolong, Xu, Honglin, Huang, Yuan, Zhang, Wen, and Li, Yongzhe

Abstract

Additional file 2: Fig. S1. Flow diagram of data analysis. Fig. S2. The disease distribution of enrolled subjects in this study. Fig. S3. Volcano plot representation of the differently expressed metabolites between IgG4-RD and other paired groups. Fig. S4. ESI+ and ESI- mode of PCA between groups. Fig. S5. Permutation test of OPLS-DA model showing the stability of the model in ESI+ and ESI- mode. Fig. S6. The expression level of the selected metabolic biomarkers in all the enrolled subjects. Fig. S7. The correlation between metabolic biomarkers and clinical features.

Published
2023
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21. Additional file 3 of Distinct metabolic biomarkers to distinguish IgG4-related disease from Sjogren’s syndrome and pancreatic cancer and predict disease prognosis

Author

Yan, Songxin, Peng, Yu, Wu, Ziyan, Cheng, Linlin, Li, Haolong, Xu, Honglin, Huang, Yuan, Zhang, Wen, and Li, Yongzhe

Abstract

Additional file 3: Table S1. Detailed clinical features for the enrolled IgG4-RD patients and healthy controls. Table S2. Detailed summary of clinical features for the enrolled Sjogren’s syndrome patients. Table S3. Clinical features of pancreatic cancer patients. Table S4. Clinical features of IgG4-RSD and IgG4-RP patients. Table S5. Differential metabolites between IgG4-RD and HC. Table S6. Differential metabolites between IgG4-RP and PC. Table S7. Differential metabolites between IgG4-RSD and SS. Table S8. Clinical features of relapsed and non-relapsed IgG4-RD.

Published
2023
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42. A unified serum IgG4 cut-off level for the diagnosis of IgG4-related disease using a wide array of kits.

Author

Yan S, Peng Y, Cheng L, Li H, Zhan H, Zhang X, Li Z, Zhang W, and Li Y

Subjects
Humans, Immunoglobulin G, Immunoglobulin G4-Related Disease, Retroperitoneal Fibrosis diagnosis
Abstract

Objectives: An immunoglobulin G4 (IgG4) level above 1350 mg/L is one of the comprehensive criteria for the diagnosis of IgG4-related disease (IgG4-RD). The purpose of this study was to evaluate the differences in IgG4 levels determined using reagents from two main manufacturers and their concordance with clinical diagnosis., Methods: IgG4 levels were measured in 309 patients, including 146, 40, 42, 41, and 40 patients with untreated IgG4-RD, pancreatic cancer, primary Sjogren syndrome, systemic lupus erythematosus, and idiopathic retroperitoneal fibrosis, respectively, and 141 healthy controls. The results obtained using the Binding Site and Siemens reagents were compared in patients with IgG4-RD., Results: The serum IgG4 level measured using the Siemens reagent was almost two times that measured using the Binding Site reagent. The rate of IgG4-negative patients, which was 19.9% based on measurement using the Binding Site reagent, was only 4.8% based on measurement using the Siemens reagent (p < .001)., Conclusions: There were significant differences in serum IgG4 levels based on commonly used reagents from different manufacturers. The IgG4 cut-off level of 1350 mg/L was not suitable for all detection reagents. Clinicians and patients should be cognizant of these differences associated with the specific detection reagents when evaluating the test results., (© Japan College of Rheumatology 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2023
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43. Prealbumin Correlates with C-reactive Protein in Rheumatic Musculoskeletal Diseases.

Author

Cheng L, Li L, Liu C, Yan S, Chen H, Chen H, Zhang F, and Li Y

Subjects
Adult, Biomarkers blood, C-Reactive Protein metabolism, Case-Control Studies, China, Female, Humans, Inflammation blood, Male, Middle Aged, Musculoskeletal Diseases physiopathology, Prealbumin metabolism, ROC Curve, Rheumatic Diseases physiopathology, C-Reactive Protein analysis, Musculoskeletal Diseases metabolism, Prealbumin analysis, Rheumatic Diseases metabolism
Abstract

Objective: Prealbumin is a blood component tested for nutrition monitoring, which could be affected during inflammation. This study aimed to investigate the relationships between prealbumin and C-reactive protein (CRP) in inflammatory rheumatic musculoskeletal diseases (RMDs), including Takayasu arteritis, antineutrophil cytoplasmic antibody-associated vasculitis, systemic lupus erythematosus, Behcet's disease and polymyositis/dermatomyositis., Methods: A total of 52 healthy controls and 508 RMD patients were included. We collected 3714 clinical and laboratory records from June 2011 to August 2019, and the longest follow-up period was eleven years. The associations between prealbumin and CRP, the globulin gap, the albumin-to-globulin ratio, and IgG were evaluated., Results: Prealbumin had a high correlation coefficient (r=-0.497, P <0.001), consistent changes over time with CRP, and a high area under the curve [AUC=0.777 (95% CI 0.76-0.795)] for CRP. The statistical relationship between the prealbumin and CRP was not affected by sex, ethnicity or age. Among RMDs, prealbumin showed the strongest correlation with CRP in Takayasu arteritis (r=0.607, P <0.001). In addition, a moderate relationship was observed between prealbumin and IgG, the globulin gap and the albumin-to-globulin ratio., Conclusion: Prealbumin is closely related to CRP in Chinese patients with five chronic inflammatory RMDs, which may be due to the influence of chronic inflammation during the course of disease., (Copyright © 2021 by the Association of Clinical Scientists, Inc.)

Published
2021

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