Diabetic kidney disease (DKD) is a complication that strongly increases the risk of end-stage kidney disease and cardiovascular events. The identification of novel, highly sensitive, and specific early biomarkers to identify DKD patients and predict kidney function decline is a pivotal aim of translational medicine. In a previous study, after a high-throughput approach, we identified in 69 diabetic patients 5 serum mitochondrial RNAs (MT-ATP6, MT-ATP8, MT-COX3, MT-ND1, and MT-RNR1) progressively downregulated with increasing eGFR stages. Here, we analyzed the protein serum concentrations of three well-validated biomarkers: TNFRI, TNFRII, and KIM-1. The protein biomarkers were gradually upregulated from G1 to G2 and G3 patients. All protein biomarkers correlated with creatinine, eGFR, and BUN. Performing multilogistic analyses, we found that, with respect to single protein biomarkers, the combination between (I) TNFRI or KIM-1 with each RNA transcript and (II) TNFRII with MT-ATP8, MT-ATP6, MT-COX-3, and MT-ND1 determined an outstanding improvement of the diagnostic performance of G3 versus G2 patient identification, reaching values in most cases above 0.9 or even equal to 1. The improvement of AUC values was also evaluated in normoalbuminuric or microalbuminuric patients considered separately. This study proposes a novel, promising multikind marker panel associated with kidney impairment in DKD.
Identification of a New RNA and Protein Integrated Biomarker Panel Associated with Kidney Function Impairment in DKD: Translational Implications.
鉴定与 DKD 肾功能损害相关的新的 RNA 和蛋白质整合生物标志物组合:转化意义
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作者:Scamporrino Alessandra, Di Mauro Stefania, Filippello Agnese, Di Marco Grazia, Di Pino Antonino, Scicali Roberto, Di Marco Maurizio, Martorana Emanuele, Malaguarnera Roberta, Purrello Francesco, Piro Salvatore
| 期刊: | International Journal of Molecular Sciences | 影响因子: | 4.900 |
| 时间: | 2023 | 起止号: | 2023 May 28; 24(11):9412 |
| doi: | 10.3390/ijms24119412 | 研究方向: | 其它 |
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