Insights into serum metabolic biomarkers for early detection of incident diabetic kidney disease in Chinese patients with type 2 diabetes by random forest.

"the raw data were submitted to national genomics data center database under the bioproject prjca013833 ( https://ngdc cncb ac cn/bioproject/browse/prjca013833 )."

"CONFLICTS OF INTEREST: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

"FUNDING: This study was supported by funding from Natural Science Foundation of China (Grant No. 81704012 to G.N.), Basic Research Project of Shenzhen Science and Technology Plans (Grant No. JCYJ20160330171116798 to N.G. and C.C.), Medical Scientific Research Foundation of Guangdong Province of China (Grant No. B2022155 to G.N.), General Research Fund (Project No. 15302718 to D.M.) and Collaborative Research Fund CRF (Grant No. C5031-14E, C5033-19E to D.M.) of the Research Grant Council of the Hong Kong Special Administrative Region, the Hong Kong Chinese Materia Medica Standards Project (to D.M.), the financial support Grant No. YBU0 to D.K.W.M. and Shenzhen High Level Hospital Construction Fund (to G.N.), Natural Science Foundation of Shenzhen (Grant No. JCYJ20220531091807018 to N.G.)."