Evidence map›Paper›PMID 37957626›Full record

ReviewBMC pediatrics2023

Exploring the association between circRNA expression and pediatric obesity based on a case-control study and related bioinformatics analysis.

Guobo Li, Xingyan Xu, Le Yang, Yingying Cai, Yi Sun, Jianhui Guo, Yawen Lin, Yuduan Hu, Mingjun Chen, Huangyuan Li and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

11 authors at 2 institutions in 1 country.

Guobo Li *Department of Child Healthcare Centre, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, 350001, China.
Xingyan Xu *Department of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China.
Le Yang *Department of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China.
Yingying CaiDepartment of Developmental and Behavioral Pediatrics, Fujian Children's Hospital, Fujian, 350014, China.
Yi SunDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China.
Jianhui GuoDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China.
Yawen LinDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China.
Yuduan HuDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China.
Mingjun ChenDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China.
Huangyuan LiDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China. fmulhy@163.com.
Siying WuDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China. fmuwsy@163.com.
Fujian Medical University · CNFujian Women and Children Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur present study utilized case-control research to explore the relationship between specific circRNAs and pediatric obesity through a literature review and bioinformatics and to predict their possible biological functions, providing ideas for epigenetic mechanism studies of pediatric obesity.

methodsCircRNAs related to pediatric obesity were preliminarily screened by a literature review and qRT-PCR. CircRNA expression in children with obesity (n = 75) and control individuals (n = 75) was confirmed with qRT-PCR in a case-control study. This was followed by bioinformatics analyses, such as GO analysis, KEGG pathway analysis, and ceRNA network construction. Multivariate logistic regression was utilized to analyze the effects of circRNAs on obesity. A receiver operating characteristic (ROC) curve was also drawn to explore the clinical application value of circRNAs in pediatric obesity.

resultsHas_circ_0046367 and hsa_circ_0000284 were separately validated to be statistically downregulated and upregulated, respectively, in the peripheral blood mononuclear cells of children with obesity and revealed as independent indicators of increased CHD risk [hsa_circ_0046367 (OR = 0.681, 95% CI: 0.480 ~ 0.967) and hsa_circ_0000284 (OR = 1.218, 95% CI: 1.041 ~ 1.424)]. The area under the ROC curve in the combined analysis of hsa_circ_0046367 and hsa_circ_0000284 was 0.706 (95% CI: 0.623 ~ 0.789). Enrichment analyses revealed that these circRNAs were actively involved in neural plasticity mechanisms, cell secretion and signal regulation.

conclusionThe present research revealed that low expression of hsa_circ_0046367 and high expression of hsa_circ_0000284 are risk factors for pediatric obesity and that neural plasticity mechanisms are closely related to obesity.

Indexed as

Pediatric ObesityRNA, CircularCase-Control StudiesChildComputational BiologyHumansLeukocytes, MononuclearRNA, CircularHsa_circ_0000284Hsa_circ_0046367Neural plasticity mechanismsPediatric obesity

Identifiers

PMID37957626
PMCPMC10642011
OpenAlexW4388633484

What OpenQuestion holds

Textmetadata
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.