Evidence map›Paper›PMID 35692878›Full record

ArticleDisease markers2022

Single-Cell Analysis Reveals the Role of the Neuropeptide Receptor FPR2 in Monocytes in Kawasaki Disease: A Bioinformatic Study.

Tengyang Wang, Guanghua Liu, Xiaofeng Guo, Wei Ji

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 8 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

4 authors at 1 institution in 1 country.

Tengyang WangFujian Branch of Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine, No. 966 Hengyu Road, Jinan, Fuzhou City, Fujian Province, China.
Guanghua LiuFujian Branch of Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine, No. 966 Hengyu Road, Jinan, Fuzhou City, Fujian Province, China.ORCID https://orcid.org/0000-0001-5184-3276
Xiaofeng GuoFujian Branch of Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine, No. 966 Hengyu Road, Jinan, Fuzhou City, Fujian Province, China.ORCID https://orcid.org/0000-0003-2373-3808
Wei JiFujian Branch of Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine, No. 966 Hengyu Road, Jinan, Fuzhou City, Fujian Province, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploring the role of neuropeptides in the communication between monocyte subtypes facilitates an investigation of the pathogenesis of Kawasaki disease (KD). We investigated the patterns of interaction between neuropeptide-associated ligands and receptors in monocyte subpopulations in KD patients. Single-cell analysis was employed for the identification of cell subpopulations in KD patients, and monocytes were classified into 3 subpopulations: classical monocytes (CMs), intermediate monocytes (IMs), and nonclassical monocytes (NCMs). Cell-cell communication and differential analyses were used to identify ligand-receptor interactions in monocytes. Five neuropeptide-related genes (

Indexed as

MonocytesMucocutaneous Lymph Node SyndromeComputational BiologyHumansLDL-Receptor Related ProteinsMembrane Transport ProteinsReceptors, Formyl PeptideReceptors, LipoxinReceptors, NeuropeptideSingle-Cell AnalysisFPR2 protein, humanLDL-Receptor Related ProteinsMembrane Transport ProteinsReceptors, Formyl PeptideReceptors, LipoxinReceptors, NeuropeptideSORL1 protein, human

Identifiers

PMID35692878
PMCPMC9177323
OpenAlexW4281611762

What OpenQuestion holds

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LicenceCC BY
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.