Evidence map›Paper›PMID 26536600›Full record

ArticlePloS one2015

Comparison of Glomerular Transcriptome Profiles of Adult-Onset Steroid Sensitive Focal Segmental Glomerulosclerosis and Minimal Change Disease.

Jun Tong, Jingyuan Xie, Hong Ren, Jian Liu, Weijia Zhang, Chengguo Wei, Jing Xu, Wen Zhang, Xiao Li, Weiming Wang and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  3. AnCurrent diabetes reviews · 2024
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  4. Adjustment ofFrontiers in genetics · 2023
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  5. Review
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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

13 authors at 4 institutions in 2 countries.

Jun TongDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Jingyuan XieDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Hong RenDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Jian LiuDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Weijia ZhangDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Chengguo WeiDepartment of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Jing XuDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Wen ZhangDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Xiao LiDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Weiming WangDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Danfeng LvNational Center for Gene Research and Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, P. R. China.
John Cijiang HeInstitute of Nephrology, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Nan ChenDepartment of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China.
Ruijin Hospital · CNShanghai Jiao Tong University · CNIcahn School of Medicine at Mount Sinai · USNational Center for Gene Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo search for biomarkers to differentiate primary focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD).

methodsWe isolated glomeruli from kidney biopsies of 6 patients with adult-onset steroid sensitiveFSGS and 5 patients with MCD, and compared the profiles of glomerular transcriptomes between the two groups of patients using microarray analysis.

resultsAnalysis of differential expressed genes (DEGs) revealed that up-regulated DEGs in FSGS patients compared with MCD patients were primarily involved in spermatogenesis, gamete generation, regulation of muscle contraction, response to unfolded protein, cell proliferation and skeletal system development. The down-regulated DEGs were primarily related to metabolic process, intracellular transport, oxidation/reduction andestablishment of intracellular localization. We validated the expression of the top 6 up-regulated and top 6 down-regulated DEGs using real-time PCR. Membrane metallo-endopeptidase (MME) is a down-regulated gene that was previously identified as a key gene for kidney development. Immunostaining confirmed that the protein expression of MME decreased significantly in FSGS kidneys compared with MCD kidneys.

conclusionsThis report was the first study to examine transcriptomes in Chinese patients with various glomerular diseases. Expressions of MME both in RNA and protein level decreased significantly in glomeruli of FSGS kidneys compared with MCD kidneys. Our data suggested that MME might play a role in the normal physiological function of podocytes and a decrease in MME expression might be related to podocyte injury. We also identified genes and pathways specific for FSGS versus MCD, and our data could help identify potential new biomarkers for the differential diagnosis between these two diseases.

Indexed as

AdultBiomarkersDiagnosis, DifferentialFemaleGene Expression ProfilingGlomerulosclerosis, Focal SegmentalHumansKidney GlomerulusMaleNephrosis, LipoidReal-Time Polymerase Chain ReactionTranscriptomeBiomarkers

Identifiers

PMID26536600
PMCPMC4633097
OpenAlexW2223702130

What OpenQuestion holds

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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.