A 3-biomarker-panel predicts renal outcome in patients with proteinuric renal diseases

BMC Medical Genomics

Michael Rudnicki³  Gert Mayer³  Bernd Mayer²  Suzie-Jane Braniff³  Johannes Leierer³  Irmgard Mühlberger²  Alexander Kainz¹  Paul Perco²  Hannes Neuwirt³ 

[1] Department of Internal Medicine III – Nephrology, KH Elisabethinen, Linz, Austria;Emergentec biodevelopment GmbH, Vienna, Austria;Department of Internal Medicine IV - Nephrology and Hypertension, Medical University Innsbruck, Anichstrasse 35, Innsbruck, 6020, Austria

关键词: Bioinformatics;    Prognosis;    Chronic kidney disease;    Biomarker;    Microarray;    Transcriptomics;    Histogenomics;   

Others  :  1090049
DOI  :  10.1186/s12920-014-0075-8

 received in 2014-06-22, accepted in 2014-12-17,  发布年份 2014

【 摘 要 】

Background

Clinical and histological parameters are valid prognostic markers in renal disease, although they may show considerable interindividual variability and sometimes limited prognostic value. Novel molecular markers and pathways have the potential to increase the predictive prognostic value of the so called “traditional markers”.

Methods

Transcriptomics profiles from laser-capture microdissected proximal tubular epithelial cells from routine kidney biopsies were correlated with a chronic renal damage index score (CREDI), an inflammation score (INSCO), and clinical parameters. We used data from 20 renal biopsies with various proteinuric renal diseases with a median follow-up of 49 months (discovery cohort). For validation we performed microarrays from whole kidney biopsies from a second cohort consisting of 16 patients with a median follow-up time of 28 months (validation cohort).

Results

562 genes correlated with the CREDI score and 285 genes correlated with the INSCO panel, respectively. 39 CREDI and 90 INSCO genes also correlated with serum creatinine at follow-up. After hierarchical clustering we identified 5 genes from the CREDI panel, and 10 genes from the INSCO panel, respectively, which showed kidney specific gene expression. After exclusion of genes, which correlated to each other by > 50% we identified VEGF-C from the CREDI panel and BMP7, THBS1, and TRIB1 from the INSCO panel. Traditional markers for chronic kidney disease progression and inflammation score predicted 44% of the serum creatinine variation at follow-up. VEGF-C did not further enhance the predictive value, but BMP7, THBS1 and TRIB1 together predicted 94% of the serum creatinine at follow up (p < 0.0001). The model was validated in a second cohort of patients yielding also a significant prediction of follow up creatinine (48%, p = 0.0115).

Conclusion

We identified and validated a panel of three genes in kidney biopsies which predicted serum creatinine at follow-up and therefore might serve as biomarkers for kidney disease progression.

【 授权许可】

   
2014 Neuwirt et al.; licensee BioMed Central.

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