Literature DB >> 33633132

Solidified glomerulosclerosis, identified using single glomerular proteomics, predicts end-stage renal disease in Chinese patients with type 2 diabetes.

Lijun Zhao1, Fang Liu2, Lin Li3, Junlin Zhang1, Tingli Wang1, Rui Zhang1, Wei Zhang4, Xiaoyan Yang4, Xiaoxi Zeng4, Yiting Wang1, Yucheng Wu1, Hao Yang5,6, Shisheng Wang6, Yi Zhong6, Huan Xu3, Shanshan Wang1, Ruikun Guo1, Honghong Ren1, Lichuan Yang1, Baihai Su1, Jie Zhang5, Nanwei Tong7, Xin J Zhou8, Mark E Cooper9.   

Abstract

Few histological prognostic indicators for end-stage renal disease (ESRD) have been validated in diabetic patients. This biopsy-based study aimed to identify nephropathological risk factors for ESRD in Chinese patients with type 2 diabetes. Histological features of 322 Chinese type 2 diabetic patients with biopsy-confirmed diabetic nephropathy (DN) were retrospectively analysed. Cox proportional hazards analysis was used to estimate the hazard ratio (HR) for ESRD. Single glomerular proteomics and immunohistochemistry were used to identify differentially expressed proteins and enriched pathways in glomeruli. During the median follow-up period of 24 months, 144 (45%) patients progressed to ESRD. In multivariable models, the Renal Pathology Society classification failed to predict ESRD, although the solidified glomerulosclerosis (score 1: HR 1.65, 95% confidence interval [CI] 1.04-2.60; score 2: HR 2.48, 95% CI 1.40-4.37) and extracapillary hypercellularity (HR 2.68, 95% CI 1.55-4.62) were identified as independent risk factors. Additionally, single glomerular proteomics, combined with immunohistochemistry, revealed that complement C9 and apolipoprotein E were highly expressed in solidified glomerulosclerosis. Therefore, solidified glomerulosclerosis and extracapillary hypercellularity predict diabetic ESRD in Chinese patients. Single glomerular proteomics identified solidified glomerulosclerosis as a unique pathological change that may be associated with complement overactivation and abnormal lipid metabolism.

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Year:  2021        PMID: 33633132      PMCID: PMC7907371          DOI: 10.1038/s41598-021-83856-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  60 in total

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3.  Urinary complement proteins and risk of end-stage renal disease: quantitative urinary proteomics in patients with type 2 diabetes and biopsy-proven diabetic nephropathy.

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Journal:  J Endocrinol Invest       Date:  2021-05-27       Impact factor: 4.256

  3 in total

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