Dataset Information

T2D patients’ urine LC-MSMS for predicting prognosis w/ and w/o renal dysfunction

ABSTRACT: Renal dysfunction and its functional regression have been known as one of major complication of type 2 diabetes (T2D). The prognosis for kidney function can be determined by estimated glomerular filtration rate (eGFR) and the known protein makers such as albumin and those parameters can classy patients with chronic kidney disease (CKD) grade 3 or higher but there are limitations in prediction. Therefore, there have been clinical unmet needs for urinary protein biomarkers to monitor or predict the patient status for precision medicine.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

DISEASE(S): Type 2 Diabetes Mellitus

SUBMITTER: Kyunggon Kim

LAB HEAD: Kyunggon Kim

PROVIDER: PXD016571 | Pride | 2020-06-23

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	20180820_BHU_Urine_2ndset-peptides.xlsx	Xlsx
	20180820_BHU_Urine_2ndset.msf	Msf
	20180820_BHU_Urine_2ndset.mzid	Mzid
	20180820_BHU_Urine_2ndset_Prot.xlsx	Xlsx
	GPG_1.raw	Raw

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Publications

Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction.

Ahn Hee-Sung HS Kim Jong Ho JH Jeong Hwangkyo H Yu Jiyoung J Yeom Jeonghun J Song Sang Heon SH Kim Sang Soo SS Kim In Joo IJ Kim Kyunggon K

International journal of molecular sciences 20200614 12

Renal dysfunction, a major complication of type 2 diabetes, can be predicted from estimated glomerular filtration rate (eGFR) and protein markers such as albumin concentration. Urinary protein biomarkers may be used to monitor or predict patient status. Urine samples were selected from patients enrolled in the retrospective diabetic kidney disease (DKD) study, including 35 with good and 19 with poor prognosis. After removal of albumin and immunoglobulin, the remaining proteins were reduced, alky ...[more]

PMID: 32545899

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