小鼠变应性炎症模型中肺促炎microRNA和细胞因子表达:性染色体补体和性腺激素的作用

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.00049.2023
Sarah Commodore, Carolyn Damilola Ekpruke, Dustin Rousselle, Rachel Alford, Maksat Babayev, Shikha Sharma, Aaron Buechlein, Douglas B Rusch, Patricia Silveyra
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引用次数: 0

摘要

表观遗传改变,如microRNAs (miRNAs)的失调,在遗传和环境因素之间的相互作用中起着重要作用。在这项研究中,我们验证了吸入过敏原诱导肺部炎症触发性别特异性miRNA调节的假设,该调节依赖于染色体补体和激素环境。我们通过用屋尘螨(HDM)溶液(或PBS作为对照)鼻内致敏的方法对四个核心基因型(FCG)模型进行了5周的挑战。FCG模型允许四种性腺和性染色体的组合:1)带卵巢的XX小鼠(XXF), 2)带睾丸的XY小鼠(XYM), 3)带睾丸的XX小鼠(XXM), 4)带卵巢的XY小鼠(XYF)。在刺激后(n=5-7/组),我们使用PCR阵列评估了肺组织中84种炎性mirna的表达,并通过多重蛋白试验评估了支气管肺泡灌洗液(BAL)中的细胞因子水平(n=4-7/组)。我们的研究结果显示,HDM刺激的XYF小鼠BAL中的趋化因子KC(一种Il-8同系物)和IL-7水平较高。此外,IL-17A在XXF和XYF的BAL中均显著升高。治疗、性腺和性染色体之间的三方相互作用揭示了60/64个mirna的不同表达取决于基因型;XXF、XXM、XYF和XYM分别有45个、32个、4个和52个差异表达mirna。本研究中发现的mirna调控网络与哮喘相关通路有关。女性性腺激素的影响可能会改变miRNA的表达,并导致女性对哮喘的易感性增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lung proinflammatory microRNA and cytokine expression in a mouse model of allergic inflammation: role of sex chromosome complement and gonadal hormones.

Epigenetic alterations such as dysregulation of miRNAs have been reported to play important roles in interactions between genetic and environmental factors. In this study, we tested the hypothesis that induction of lung inflammation by inhaled allergens triggers a sex-specific miRNA regulation that is dependent on chromosome complement and hormonal milieu. We challenged the four core genotypes (FCGs) model through intranasal sensitization with a house dust mite (HDM) solution (or PBS as a control) for 5 wk. The FCG model allows four combinations of gonads and sex chromosomes: 1) XX mice with ovaries (XXF), 2) XY mice with testes (XYM), 3) XX mice with testes (XXM), and 4) XY mice with ovaries (XYF). Following the challenge (n = 5-7/group), we assessed the expression of 84 inflammatory miRNAs in lung tissue using a PCR array and cytokine levels in bronchoalveolar lavage fluid (BAL) by a multiplex protein assay (n = 4-7 animals/group). Our results showed higher levels of the chemokine KC (an Il-8 homolog) and IL-7 in BAL from XYF mice challenged with HDM. In addition, IL-17A was significantly higher in BAL from both XXF and XYF mice. A three-way interaction among treatment, gonads, and sex chromosome revealed 60 of 64 miRNAs that differed in expression depending on genotype; XXF, XXM, XYF, and XYM mice had 45, 32, 4, and 52 differentially expressed miRNAs, respectively. Regulatory networks of miRNAs identified in this study were implicated in pathways associated with asthma. Female gonadal hormonal effects may alter miRNA expression and contribute to the higher susceptibility of females to asthma.NEW & NOTEWORTHY miRNAs play important roles in regulating gene and environmental interactions. However, their role in mediating sex differences in allergic responses and lung diseases has not been elucidated. Our study used a targeted omics approach to characterize the contributions of gonadal hormones and chromosomal components to lung responses to an allergen challenge. Our results point to the influence of sex hormones in miRNA expression and proinflammatory markers in allergic airway inflammation.

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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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