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

OBJECTIVE: Our 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 obe...

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Autores principales: Li, Guobo, Xu, Xingyan, Yang, Le, Cai, Yingying, Sun, Yi, Guo, Jianhui, Lin, Yawen, Hu, Yuduan, Chen, Mingjun, Li, Huangyuan, Wu, Siying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642011/
https://www.ncbi.nlm.nih.gov/pubmed/37957626
http://dx.doi.org/10.1186/s12887-023-04261-1
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author Li, Guobo
Xu, Xingyan
Yang, Le
Cai, Yingying
Sun, Yi
Guo, Jianhui
Lin, Yawen
Hu, Yuduan
Chen, Mingjun
Li, Huangyuan
Wu, Siying
author_facet Li, Guobo
Xu, Xingyan
Yang, Le
Cai, Yingying
Sun, Yi
Guo, Jianhui
Lin, Yawen
Hu, Yuduan
Chen, Mingjun
Li, Huangyuan
Wu, Siying
author_sort Li, Guobo
collection PubMed
description OBJECTIVE: Our 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. METHODS: CircRNAs 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. RESULTS: Has_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. CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04261-1.
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spelling pubmed-106420112023-11-14 Exploring the association between circRNA expression and pediatric obesity based on a case–control study and related bioinformatics analysis Li, Guobo Xu, Xingyan Yang, Le Cai, Yingying Sun, Yi Guo, Jianhui Lin, Yawen Hu, Yuduan Chen, Mingjun Li, Huangyuan Wu, Siying BMC Pediatr Research OBJECTIVE: Our 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. METHODS: CircRNAs 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. RESULTS: Has_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. CONCLUSION: The 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-04261-1. BioMed Central 2023-11-13 /pmc/articles/PMC10642011/ /pubmed/37957626 http://dx.doi.org/10.1186/s12887-023-04261-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Guobo
Xu, Xingyan
Yang, Le
Cai, Yingying
Sun, Yi
Guo, Jianhui
Lin, Yawen
Hu, Yuduan
Chen, Mingjun
Li, Huangyuan
Wu, Siying
Exploring the association between circRNA expression and pediatric obesity based on a case–control study and related bioinformatics analysis
title Exploring the association between circRNA expression and pediatric obesity based on a case–control study and related bioinformatics analysis
title_full Exploring the association between circRNA expression and pediatric obesity based on a case–control study and related bioinformatics analysis
title_fullStr Exploring the association between circRNA expression and pediatric obesity based on a case–control study and related bioinformatics analysis
title_full_unstemmed Exploring the association between circRNA expression and pediatric obesity based on a case–control study and related bioinformatics analysis
title_short Exploring the association between circRNA expression and pediatric obesity based on a case–control study and related bioinformatics analysis
title_sort exploring the association between circrna expression and pediatric obesity based on a case–control study and related bioinformatics analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642011/
https://www.ncbi.nlm.nih.gov/pubmed/37957626
http://dx.doi.org/10.1186/s12887-023-04261-1
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