Transcriptomics analysis of allergen-induced inflammatory gene expression in the Four-Core Genotype mouse model.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY Physiological genomics Pub Date : 2024-02-01 Epub Date: 2023-12-04 DOI:10.1152/physiolgenomics.00112.2023
Carolyn Damilola Ekpruke, Rachel Alford, Dustin Rousselle, Maksat Babayev, Shikha Sharma, Sarah Commodore, Aaron Buechlein, Douglas B Rusch, Patricia Silveyra
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Abstract

Sex differences in allergic inflammation have been reported, but the mechanisms underlying these differences remain unknown. Contributions of both sex hormones and sex-related genes to these mechanisms have been previously suggested in clinical and animal studies. Here, Four-Core Genotypes (FCG) mouse model was used to study the inflammatory response to house dust mite (HDM) challenge and identify differentially expressed genes (DEGs) and regulatory pathways in lung tissue. Briefly, adult mice (8-10 wk old) of the FCG (XXM, XXF, XYM, XYF) were challenged intranasally with 25 μg of HDM or vehicle (PBS-control group) 5 days/wk for 5 wk (n = 3/10 group). At 72 h after the last exposure, we analyzed the eosinophils and neutrophils in the bronchoalveolar lavage (BAL) of FCG mice. We extracted lung tissue and determined DEGs using Templated Oligo-Sequencing (TempO-Seq). DEG analysis was performed using the DESeq2 package and gene enrichment analysis was done using Ingenuity Pathway Analysis. A total of 2,863 DEGs were identified in the FCG. Results revealed increased eosinophilia and neutrophilia in the HDM-treated group with the most significantly expressed genes in XYF phenotype and a predominant effect of female hormones vs. chromosomes. Regardless of the sex hormones, mice with female chromosomes had more downregulated genes in the HDM group but this was reversed in the control group. Interestingly, genes associated with inflammatory responses were overrepresented in the XXM and XYF genotypes treated with HDM. Sex hormones and chromosomes contribute to inflammatory responses to HDM challenge, with female hormones exerting a predominant effect mediated by inflammatory DEGs.NEW & NOTEWORTHY Gene expression profiling helps to provide deep insight into the global view of disease-related mechanisms and responses to therapy. Using the Four-Core Genotype mouse model, our findings revealed the influence of sex hormones and sex chromosomes in the gene expression of lungs exposed to an aeroallergen (House Dust Mite) and identified sex-specific pathways to better understand sex disparities associated with allergic airway inflammation.

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四核基因型小鼠模型中过敏原诱导炎症基因表达的转录组学分析。
过敏性炎症的性别差异已被报道,但这些差异背后的机制尚不清楚。性激素和性相关基因对这些机制的贡献先前已在临床和动物研究中提出。本研究采用四种核心基因型(FCG)小鼠模型研究屋尘螨(HDM)侵袭的炎症反应,并鉴定肺组织中的差异表达基因(DEGs)和调控途径。简单地说,将8-10周龄的成年FCG (XXM, XXF, XYM, XYF)小鼠(8-10周龄)用25μg的HDM或载药(pbs -对照组)灌胃5天,连续5周(n=3/10组)。在最后一次暴露后72小时,我们分析了FCG小鼠支气管肺泡灌洗液(BAL)中的嗜酸性粒细胞和中性粒细胞。我们提取肺组织并使用Templated Oligo-Sequencing (TempO-Seq)测定deg。DEGs分析采用DESeq2包,基因富集分析采用Ingenuity Pathway analysis。在FCG中共鉴定出2863个deg。结果显示,hdm处理组嗜酸性粒细胞和中性粒细胞增加,XYF表型基因表达最显著,雌性激素对染色体的影响主要。无论性激素如何,具有雌性染色体的小鼠在HDM组中有更多的下调基因,但在对照组中则相反。有趣的是,与炎症反应相关的基因在HDM治疗的XXM和XYF基因型中被过度代表。性激素和染色体参与对HDM挑战的炎症反应,其中雌性激素在炎性deg介导下发挥主要作用。
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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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