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Urinary sediment transcriptomic and longitudinal data to investigate renal function decline in type 1 diabetes

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE140627
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Using a discovery/validation approach we investigated associations between a panel of genes selected from a transcriptomic study and the renal function decline across time in a cohort of type 1 diabetes patients. mRNA profiles of urine sediment cells from healthy volunteers and from type 1 diabetes patients with different rates of kidney funcion decline were used to select genes with the potential do predict renal function decline
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2020-05-26
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