Evidence map›Paper›PMID 34399738›Full record

ArticleBMC urology2021

Identification of novel biomarkers in Hunner's interstitial cystitis using the CIBERSORT, an algorithm based on machine learning.

Kaining Lu, Shan Wei, Zhengyi Wang, Kerong Wu, Junhui Jiang, Zejun Yan, Yue Cheng

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Kaining Lu *Department of Urology, Ningbo First Hospital, 59, Liuting Street, Ningbo, 315010, Zhejiang, People's Republic of China.
Shan Wei *Department of Respiratory and Critical Care Medicine, People's Hospital Affiliated to Ningbo University, Yinzhou People's Hospital, Ningbo, People's Republic of China.
Zhengyi WangDepartment of Urology, Ningbo First Hospital, 59, Liuting Street, Ningbo, 315010, Zhejiang, People's Republic of China.
Kerong WuDepartment of Urology, Ningbo First Hospital, 59, Liuting Street, Ningbo, 315010, Zhejiang, People's Republic of China.
Junhui JiangDepartment of Urology, Ningbo First Hospital, 59, Liuting Street, Ningbo, 315010, Zhejiang, People's Republic of China.
Zejun YanDepartment of Urology, Ningbo First Hospital, 59, Liuting Street, Ningbo, 315010, Zhejiang, People's Republic of China. ZejunYanUrology@163.com.
Yue ChengDepartment of Urology, Ningbo First Hospital, 59, Liuting Street, Ningbo, 315010, Zhejiang, People's Republic of China. ChengYueUrology@163.com.
Ningbo First Hospital · CNZhejiang University · CNNingbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHunner's interstitial cystitis (HIC) is a complex disorder characterized by pelvic pain, disrupted urine storage, and Hunner lesions seen on cystoscopy. There are few effective diagnostic biomarkers. In the present study, we used the novel machine learning tool CIBERSORT to measure immune cell subset infiltration and potential novel diagnostic biomarkers for HIC.

methodsThe GSE11783 and GSE57560 datasets were downloaded from the Gene Expression Omnibus for analysis. Ten HIC and six healthy samples from GSE11783 were analyzed using the CIBERSORT algorithm. Gene Set Enrichment Analysis (GSEA) was performed to identify biological processes that occur during HIC pathogenesis. Finally, expression levels of 11 T cell follicular helper cell (Tfh) markers were compared between three healthy individuals and four patients from GSE57560.

resultsSix types of immune cells in HIC from GSE11783 showed significant differences, including resting mast cells, CD4

conclusionThis was the first demonstration of Tfh cells and CD3

Indexed as

Machine LearningBiomarkersCD3 ComplexCD4 AntigensCystitis, InterstitialHLA-DR AntigensHumansKiller Cells, NaturalMast CellsMemory B CellsMemory T CellsPlasma CellsT Follicular Helper CellsBiomarkersCD3 ComplexCD4 AntigensHLA-DR AntigensBioinformaticHunner-type interstitial cystitisImmune system diseasesInterstitial cystitisMast cells

Identifiers

PMID34399738
PMCPMC8365919
OpenAlexW3194563945

What OpenQuestion holds

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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.