Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers
BackgroundObesity, a prevalent metabolic disorder, is linked to perturbations in the balance of gene expression regulation. Noncoding RNAs (ncRNAs), including long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), and microRNAs (miRNAs), play pivotal roles in regulating gene expression. The aim of...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1533637/full |
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| author | Yongjiao Zhang Yongjiao Zhang Ao Chen Ao Chen Sumei Lu Dong Liu Xiaolei Xuan Xiaofei Lei Mingwei Zhong Fei Gao |
| author_facet | Yongjiao Zhang Yongjiao Zhang Ao Chen Ao Chen Sumei Lu Dong Liu Xiaolei Xuan Xiaofei Lei Mingwei Zhong Fei Gao |
| author_sort | Yongjiao Zhang |
| collection | DOAJ |
| description | BackgroundObesity, a prevalent metabolic disorder, is linked to perturbations in the balance of gene expression regulation. Noncoding RNAs (ncRNAs), including long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), and microRNAs (miRNAs), play pivotal roles in regulating gene expression. The aim of this study was to identify additional ncRNA candidates that are implicated in obesity, elucidating their potential as key regulators of the pathogenesis of obesity.MethodsWe identified distinct ncRNA expression profiles in omental adipose tissue in obese and healthy subjects through comprehensive whole-transcriptome sequencing. Subsequent analyses included functional annotation with GO and KEGG pathway mapping, validation via real-time quantitative polymerase chain reaction (qRT‒PCR), the exploration of protein‒protein interactions (PPIs), and the identification of key regulatory genes through network analysis.ResultsThe results indicated that, compared with those in healthy individuals, various lncRNAs, circRNAs, and miRNAs were significantly differentially expressed in obese subjects. Further verifications of top changed gene expressions proved the most genes’ consistence with RNA-sequencing including 11 lncRNAs and 4 circRNAs. Gene network analysis highlighted the most significant features associated with metabolic pathways, specifically ENST00000605862, ENST00000558885, and ENST00000686149. Collectively, our findings suggest potential ncRNA therapeutic targets for obesity, including ENST00000605862, ENST00000558885, and ENST00000686149. |
| format | Article |
| id | doaj-art-1537641408fc4e198c5c70af72313c37 |
| institution | Kabale University |
| issn | 1664-8021 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj-art-1537641408fc4e198c5c70af72313c372025-02-06T07:10:24ZengFrontiers Media S.A.Frontiers in Genetics1664-80212025-02-011610.3389/fgene.2025.15336371533637Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkersYongjiao Zhang0Yongjiao Zhang1Ao Chen2Ao Chen3Sumei Lu4Dong Liu5Xiaolei Xuan6Xiaofei Lei7Mingwei Zhong8Fei Gao9Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, ChinaSchool of Medical Laboratory, Shandong Second Medical University, Weifang, Shandong, ChinaDepartment of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, ChinaSchool of Medical Laboratory, Shandong Second Medical University, Weifang, Shandong, ChinaDepartment of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, ChinaDepartment of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, ChinaDepartment of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, ChinaDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, ChinaDepartment of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Laboratory Medicine, Jinan, ChinaBackgroundObesity, a prevalent metabolic disorder, is linked to perturbations in the balance of gene expression regulation. Noncoding RNAs (ncRNAs), including long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), and microRNAs (miRNAs), play pivotal roles in regulating gene expression. The aim of this study was to identify additional ncRNA candidates that are implicated in obesity, elucidating their potential as key regulators of the pathogenesis of obesity.MethodsWe identified distinct ncRNA expression profiles in omental adipose tissue in obese and healthy subjects through comprehensive whole-transcriptome sequencing. Subsequent analyses included functional annotation with GO and KEGG pathway mapping, validation via real-time quantitative polymerase chain reaction (qRT‒PCR), the exploration of protein‒protein interactions (PPIs), and the identification of key regulatory genes through network analysis.ResultsThe results indicated that, compared with those in healthy individuals, various lncRNAs, circRNAs, and miRNAs were significantly differentially expressed in obese subjects. Further verifications of top changed gene expressions proved the most genes’ consistence with RNA-sequencing including 11 lncRNAs and 4 circRNAs. Gene network analysis highlighted the most significant features associated with metabolic pathways, specifically ENST00000605862, ENST00000558885, and ENST00000686149. Collectively, our findings suggest potential ncRNA therapeutic targets for obesity, including ENST00000605862, ENST00000558885, and ENST00000686149.https://www.frontiersin.org/articles/10.3389/fgene.2025.1533637/fullobesityRNA sequencing (RNA-seq)noncoding RNA (ncRNA)omental adipose tissuelncRNA |
| spellingShingle | Yongjiao Zhang Yongjiao Zhang Ao Chen Ao Chen Sumei Lu Dong Liu Xiaolei Xuan Xiaofei Lei Mingwei Zhong Fei Gao Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers Frontiers in Genetics obesity RNA sequencing (RNA-seq) noncoding RNA (ncRNA) omental adipose tissue lncRNA |
| title | Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers |
| title_full | Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers |
| title_fullStr | Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers |
| title_full_unstemmed | Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers |
| title_short | Noncoding RNA profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers |
| title_sort | noncoding rna profiling in omentum adipose tissue from obese patients and the identification of novel metabolic biomarkers |
| topic | obesity RNA sequencing (RNA-seq) noncoding RNA (ncRNA) omental adipose tissue lncRNA |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2025.1533637/full |
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