Biomarkers predicting good prognosis among patients receiving immunosuppressive treatment in IgA nephropathy: the promising role of serum TGF-β1 and MCP-1.
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| Title: | Biomarkers predicting good prognosis among patients receiving immunosuppressive treatment in IgA nephropathy: the promising role of serum TGF-β1 and MCP-1. |
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| Authors: | Jeon J; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Yoon Y; Division of Nephrology, Department of Medicine, Chosun University Hospital, Chosun University School of Medicine, Gwangju, Republic of Korea., Lee K; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Moon H; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea., Lee JE; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Kwon GY; Department of Pathology, Samsung Medical Center, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Huh W; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Jang HR; Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. |
| Source: | Frontiers in immunology [Front Immunol] 2026 Jun 24; Vol. 17, pp. 1852831. Date of Electronic Publication: 2026 Jun 24 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-3224 |
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| DOI: | 10.3389/fimmu.2026.1852831 |
