Evidence map›Paper›PMID 33633132›Full record

ArticleScientific reports2021

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

Lijun Zhao, Fang Liu, Lin Li, Junlin Zhang, Tingli Wang, Rui Zhang, Wei Zhang, Xiaoyan Yang, Xiaoxi Zeng, Yiting Wang and 14 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. New Insights into the Role of Mitochondrial Dysfunction in Diabetic Kidney Disease in the Omics Era.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 5 institutions in 3 countries.

Lijun ZhaoDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Fang LiuDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China. liufangfh@163.com.
Lin LiDivision of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Junlin ZhangDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Tingli WangDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Rui ZhangDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Wei ZhangWest China Biomedical Big Data Center, West China Hospital/ West China School of Medicine of Sichuan University, Chengdu, Sichuan, China.
Xiaoyan YangWest China Biomedical Big Data Center, West China Hospital/ West China School of Medicine of Sichuan University, Chengdu, Sichuan, China.
Xiaoxi ZengWest China Biomedical Big Data Center, West China Hospital/ West China School of Medicine of Sichuan University, Chengdu, Sichuan, China.
Yiting WangDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Yucheng WuDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Hao YangKey Laboratory of Transplant Engineering and Immunology, Ministry of Health, Regenerative Medicine Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Shisheng WangWest China-Washington Mitochondria and Metabolism Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yi ZhongWest China-Washington Mitochondria and Metabolism Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Huan XuDivision of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Shanshan WangDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Ruikun GuoDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Honghong RenDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Lichuan YangDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Baihai SuDivision of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan Province, China.
Jie ZhangKey Laboratory of Transplant Engineering and Immunology, Ministry of Health, Regenerative Medicine Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Nanwei TongDivision of Endocrinology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Xin J ZhouDepartment of Pathology, Baylor University Medical Center at Dallas, Dallas, TX, USA.
Mark E CooperDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, Australia.
West China Hospital of Sichuan University · CNSichuan University · CNWest China Medical Center of Sichuan University · CNBaylor University Medical Center · USMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AdolescentAdultChildChild, PreschoolChinaDiabetes Mellitus, Type 2FemaleHumansKidney Failure, ChronicMalePrognosisProportional Hazards ModelsProteomicsSurvival AnalysisYoung Adult

Identifiers

PMID33633132
PMCPMC7907371
OpenAlexW3130761361

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.