Evidence map›Paper›PMID 38441011›Full record

ArticleCombinatorial chemistry & high throughput screening2024

Identification of PLAC8 as a Potential Biomarker for the Diagnosis of Interstitial Cystitis.

Peng Li, Mingwei Xu, Zhilei Zhang, Xiangyan Zhang, Fei Xie, Xiaofei Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Peng LiDepartment of Urology, The Affiliated Hospital of Qingdao Binhai University, Qingdao, 266404, China.
Mingwei XuDepartment of Urology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, 441021, China.
Zhilei ZhangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Xiangyan ZhangDepartment of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Fei XieDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Xiaofei ZhangDepartment of Gastroenterology, Qingdao Municipal Hospital, Qingdao, 266011, China.
Qingdao University · CNHubei University of Arts and Science · CN

Funding

Natural Science Foundation of Shandong Province ZR2020QH238Shandong Provincial Key Laboratory of Fine Chemical Synthesis Engineering 2022FCCEKL10
6 · The paper itself

Abstract

backgroundInterstitial cystitis is a diagnosis of exclusion due to the complexity of its etiology and pathology, which is a chronic disease with an unknown etiology. To our knowledge, few studies were performed to identify predictive biomarkers for interstitial cystitis.

objectiveThis study aimed to identify and validate potential biomarkers for Interstitial Cystitis (IC).

methodsThe interstitial cystitis datasets were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by using the R package and were subjected to functional and pathway enrichment analysis. Key biomarkers of interstitial cystitis were identified by using Lasso regression analysis and the SVM-RFE algorithm. The diagnostic value of key biomarkers was validated in internal and external datasets, and pathways that relate to biomarkers of interstitial cystitis were screened. The ssGSEA was employed to identify the immune cells closely related to biomarkers. The expression of PLAC8 in patients with interstitial cystitis was detected by Immune-Histochemistry (IHC).

resultsSixteen differentially expressed genes associated with interstitial cystitis were identified, which were primarily linked to the biological process of the chemokine signaling pathway. PLAC8, identified as a biomarker for interstitial cystitis, was validated to express a significantly different between IC and normal bladder tissues. PLAC8-related pathways were analyzed, with a focus on NF-κB, TNF, Toll-like receptor, chemokine, IL-17, and JAK-STAT signaling pathways. PLAC8 was proved to be closely related to immune activations, which is similar to the pathogenesis of IC, which is a chronic dysregulated immune disease. Meanwhile, we also observed a higher level of PLAC8 in IC tissues.

conclusionPLAC8 has promising application prospects as a biomarker for interstitial cystitis diagnosis. These findings could aid in the diagnosis and treatment of interstitial cystitis.

Indexed as

BiomarkersCystitis, InterstitialHumansProteinsBiomarkersPLAC8 protein, humanProteinsbiomarkerchemokinediagnosis.immune cellsInterstitial cystitisPLAC8

Identifiers

PMID38441011
OpenAlexW4392471500

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.