Evidence map›Paper›PMID 33644086›Full record

ArticleFrontiers in medicine2020

Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD.

Lingyun Liu, Fuzhe Ma, Yuanyuan Hao, Zhengzi Yi, Xiaoxia Yu, Bo Xu, Chengguo Wei, Jinghai Hu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. CircRTN4 aggravates mesangial cell dysfunction by activating the miR-513a-5p/FN axis in lupus nephritis.Laboratory investigation; a journal of technical methods and pathology · 2022
    Article
  8. Article
  9. Review
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

8 authors at 4 institutions in 2 countries.

Lingyun LiuDepartment of Andrology, The First Hospital of Jilin University, Jilin, China.
Fuzhe MaDepartment of Nephrology, The First Hospital of Jilin University, Jilin, China.
Yuanyuan HaoDepartment of Urology, The First Hospital of Jilin University, Jilin, China.
Zhengzi YiDivision of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Xiaoxia YuDivision of Nephrology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Bo XuDepartment of Urology, The First Hospital of Jilin University, Jilin, China.
Chengguo WeiDivision of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Jinghai HuDepartment of Urology, The First Hospital of Jilin University, Jilin, China.
First Hospital of Jilin University · CNIcahn School of Medicine at Mount Sinai · USAffiliated Zhongshan Hospital of Dalian University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a complex disease in which the renal function is compromised chronically. Many studies have indicated the crosstalk between the tubule and the glomerulus in CKD progression. However, our understanding of the interaction of tubular and glomerular injury remains incomplete. In this study, we applied a meta-analysis approach on the transcriptome of the tubules and glomeruli of CKD patients to identify differentially expressed genes (DEGs) signature. Functional analysis of pathways and Gene Ontology found that tubular DEGs were mainly involved in cell assembly and remodeling, glomerular DEGs in cell proliferation and apoptosis, and overlapping DEGs mainly in immune response. Correlation analysis was performed to identify the associated DEGs in the tubules and glomeruli. Secreted protein comparison and verification experiments indicated that WFDC2 from the tubule could downregulate PEX19 mRNA and protein levels at the glomeruli in diabetic kidney disease (DKD). This study revealed the distinctive pathways of the tubules and glomeruli and identified interacted genes during CKD progression.

Indexed as

CDKcrosstalkDKDglomeruli tubuleinformatics analysis

Identifiers

PMID33644086
PMCPMC7906987
OpenAlexW3130809118

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.