Evidence map›Paper›PMID 35909542›Full record

ArticleFrontiers in endocrinology2022

The Construction and Analysis of Infiltrating Immune Cell and ceRNA Networks in Diabetic Foot Ulcer.

Lin Zeng, Pengxiang Zhang, Zebin Fang, Deliang Liu, Huilin Li, Xin Qu, Shufang Chu, Hengxia Zhao, Xuemei Liu, Maosheng Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. 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
1.4field-weighted citation impact, top 19% 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, 17 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

10 authors at 2 institutions in 1 country.

Lin ZengFourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Pengxiang ZhangFourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Zebin FangFourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Deliang LiuDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Huilin LiDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Xin QuDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Shufang ChuDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Hengxia ZhaoDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Xuemei LiuDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Maosheng LeeDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Shenzhen Pingle Orthopedic Hospital · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic foot ulcer (DFU) is a severe complication characterized by low-grade infectious inflammation and probably associated with specific competitive endogenous RNAs (ceRNAs) and infiltrating immune cells. Nonetheless, no reliable biomarkers are used for detecting infectious inflammation in DFU. Therefore, it is essential to explore potential biomarkers for the accurate diagnosis and treatment of DFU. Methods: The gene expression profile was retrieved from Gene Expression Omnibus (GEO) database and divided into two groups, namely, standard samples and DFU samples. To establish the ceRNA networks, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were utilized to analyze differential expression genes (DEGs). The cell type identification was achieved by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm to screen-specific immune-infiltrating cells associated with DFU. Results: A ceRNA network was constructed with 20 differential expression circRNA (DEcircRNAs), 11 differential expression microRNAs (DEmiRNAs), and 9 differential expression mRNAs (DEmRNAs). Functional enrichment analysis demonstrated that DFU was mainly enriched in vascular endothelial growth factor (VEGF) and T-cell receptor signaling. In addition, CIBERSORT estimation indicated that CD8 Conclusion: This study identified that some significant ceRNAs (JUNB, GATA3, hsa-circ-0049271 and hsa-circ-0074559) and infiltrating immune cells (CD8

Indexed as

Diabetes MellitusDiabetic FootMicroRNAsBiomarkersCD8-Positive T-LymphocytesHumansInflammationVascular Endothelial Growth Factor ABiomarkersMicroRNAsVascular Endothelial Growth Factor Acompeting endogenous RNA networkdiabetic foot ulcerGATA3hsa-circ-0049271hsa-circ-0074559infiltrating immune cellJunB

Identifiers

PMID35909542
PMCPMC9329527
OpenAlexW4285391110

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.