Zhenzhen Pan , Cengceng He , Xuena Xu , Yuting Jin , Mingyi Xu , Suwan Xiong , Ling Li , Chuangli Hao
{"title":"Exploration of novel biomarkers of obese asthma using RNA sequencing in high-fat-fed asthmatic model mice","authors":"Zhenzhen Pan , Cengceng He , Xuena Xu , Yuting Jin , Mingyi Xu , Suwan Xiong , Ling Li , Chuangli Hao","doi":"10.1016/j.ygeno.2025.111115","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Obese asthma is a specific phenotype of childhood asthma characterized by increased severity, decreased quality of life, and reduced treatment response. Herein, we applied transcriptomics to investigate biomarkers of obese asthma.</div></div><div><h3>Methods</h3><div>Mouse models of obesity and asthma were induced through high-fat diet (HFD) feeding and ovalbumin inhalation, respectively. RNA was extracted from lung samples from HFD-fed asthma, HFD-fed control, normal-fat diet (NFD)-fed asthma, and NFD-fed control mice. Transcriptome sequencing data were analyzed for quality control (QC), and differentially expressed genes (DEGs) were identified. From this list, candidate genes were obtained through intersections, followed by the construction of protein-protein interaction (PPI) networks to identify key genes. Subsequently, immune cell infiltration was analyzed across the different subgroups. Key genes were validated using Quantitative Polymerase Chain Reaction (PCR).</div></div><div><h3>Results</h3><div>Overall, 86 candidate genes were identified from the intersection of different DEG sets. PPI networks were constructed using three algorithms, revealing nine key genes (ITGM, Slc11a1, Nos2, PirB, IL1RN, LCN2, CD33, MSR1, and CXCL2). Immune infiltration analysis revealed distinct responses in immune cells, including naïve B cells and plasma cells. Following verification by qPCR, ITGAM, Nos2, LCN2, CD33, MSR1, and CXCL2 were confirmed to be significantly higher in the HFD-fed asthma group than in the NFD-fed asthma group. Slc11a1 was significantly downregulated, while PirB and IL1RN showed no significant differences. The expression levels of ITGAM, Nos2, and LCN2 demonstrated a consistent trend in human peripheral blood samples. However, to further substantiate their roles in obesity-associated asthma, an expanded sample size is required for confirmation.</div></div><div><h3>Conclusion</h3><div>This study systematically investigated the molecular mechanisms underlying the associated obesity and metabolic disorders, identified biomarkers, and provided new directions for future therapeutic and clinical studies on obese asthma.</div></div>","PeriodicalId":12521,"journal":{"name":"Genomics","volume":"117 6","pages":"Article 111115"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0888754325001314","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Obese asthma is a specific phenotype of childhood asthma characterized by increased severity, decreased quality of life, and reduced treatment response. Herein, we applied transcriptomics to investigate biomarkers of obese asthma.
Methods
Mouse models of obesity and asthma were induced through high-fat diet (HFD) feeding and ovalbumin inhalation, respectively. RNA was extracted from lung samples from HFD-fed asthma, HFD-fed control, normal-fat diet (NFD)-fed asthma, and NFD-fed control mice. Transcriptome sequencing data were analyzed for quality control (QC), and differentially expressed genes (DEGs) were identified. From this list, candidate genes were obtained through intersections, followed by the construction of protein-protein interaction (PPI) networks to identify key genes. Subsequently, immune cell infiltration was analyzed across the different subgroups. Key genes were validated using Quantitative Polymerase Chain Reaction (PCR).
Results
Overall, 86 candidate genes were identified from the intersection of different DEG sets. PPI networks were constructed using three algorithms, revealing nine key genes (ITGM, Slc11a1, Nos2, PirB, IL1RN, LCN2, CD33, MSR1, and CXCL2). Immune infiltration analysis revealed distinct responses in immune cells, including naïve B cells and plasma cells. Following verification by qPCR, ITGAM, Nos2, LCN2, CD33, MSR1, and CXCL2 were confirmed to be significantly higher in the HFD-fed asthma group than in the NFD-fed asthma group. Slc11a1 was significantly downregulated, while PirB and IL1RN showed no significant differences. The expression levels of ITGAM, Nos2, and LCN2 demonstrated a consistent trend in human peripheral blood samples. However, to further substantiate their roles in obesity-associated asthma, an expanded sample size is required for confirmation.
Conclusion
This study systematically investigated the molecular mechanisms underlying the associated obesity and metabolic disorders, identified biomarkers, and provided new directions for future therapeutic and clinical studies on obese asthma.
期刊介绍:
Genomics is a forum for describing the development of genome-scale technologies and their application to all areas of biological investigation.
As a journal that has evolved with the field that carries its name, Genomics focuses on the development and application of cutting-edge methods, addressing fundamental questions with potential interest to a wide audience. Our aim is to publish the highest quality research and to provide authors with rapid, fair and accurate review and publication of manuscripts falling within our scope.