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Cited by 189

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Biomarkers for Lupus Nephritis: A Critical Appraisal

Open access
Mok, Chi Chiu·2010·Journal of Biomedicine and Biotechnology

Abstract

Kidney disease is one of the most serious manifestations of systemic lupus erythematosus (SLE). Despite the improvement in the medical care of SLE in the past two decades, the prognosis of lupus nephritis remains unsatisfactory. Besides exploring more effective but less toxic treatment modalities that will further improve the remission rate, early detection and treatment of renal activity may spare patients from intensive immunosuppressive therapies and reduce renal damage. Conventional clinical parameters such as creatinine clearance, proteinuria, urine sediments, anti-dsDNA, and complement levels are not sensitive or specific enough for detecting ongoing disease activity in the lupus kidneys and early relapse of nephritis. Thus, novel biomarkers are necessary to enhance the diagnostic accuracy and sensitivity of lupus renal disease, prognostic stratification, monitoring of treatment response, and detection of early renal flares. This paper reviews promising biomarkers that have recently been evaluated in longitudinal studies of lupus nephritis.

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Metadata

Authors
Mok, C. C.
Venue
Journal of Biomedicine and Biotechnology
Published
2010
Volume
2010
Pages
1-11
ISSN
  • 1110-7243 (ISSN-L)
  • 1110-7251
OpenAlex
W1965790129
Cited by
189
References
5
FWCI
7.03
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Biomarkers for Lupus Nephritis: A Critical Appraisal. https://app.cochat.ai/papers/10.1155/2010/638413
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Mok, C. C. (2010). Biomarkers for Lupus Nephritis: A Critical Appraisal. Journal of Biomedicine and Biotechnology. https://doi.org/10.1155/2010/638413

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.