A bacterial artificial chromosome mouse model of amyotrophic lateral sclerosis manifests 'space cadet syndrome' on two FVB backgrounds.

IF 3.3 3区 医学 Q2 CELL BIOLOGY Disease Models & Mechanisms Pub Date : 2025-02-01 Epub Date: 2025-02-13 DOI:10.1242/dmm.052221
Sophie E Badger, Ian Coldicott, Ergita Kyrgiou-Balli, Adrian Higginbottom, Chloé Moutin, Kamallia Mohd Imran, John C Day, Johnathan Cooper-Knock, Richard J Mead, James J P Alix
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Abstract

C9orf72-related amyotrophic lateral sclerosis (ALS)/frontotemporal dementia (FTD) has proven difficult to model in mice. Liu et al. (2016) reported a bacterial artificial chromosome (BAC) transgenic mouse displaying behavioural, motor and pathological abnormalities. This was followed by multiple laboratories independently refuting and confirming phenotypes. A proposed explanation centred on the use of different FVB background lines (from The Jackson Laboratory and Janvier Labs). We studied C9orf72 BAC mice on both backgrounds and found significantly elevated levels of dipeptide repeat proteins, but no evidence of a transgene-associated phenotype. We observed seizures and a gradual decline in functional performance in transgenic and non-transgenic mice, irrespective of genetic background. The phenotype was in keeping with the so-called 'space cadet syndrome'. Our findings indicate that the differences previously reported are not due to C9orf72 status and highlight the importance of using genetic backgrounds that do not confound interpretation of neurodegenerative phenotypes.

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肌萎缩性侧索硬化症细菌人工染色体小鼠模型在两种FVB背景下表现为“太空学员综合征”。
c9orf72相关的肌萎缩性侧索硬化症(ALS)/额颞叶痴呆(FTD)已被证明难以在小鼠中建模。Liu等人(2016)报道了一种细菌人工染色体(BAC)转基因小鼠,其表现出行为、运动和病理异常。随后是多个实验室独立反驳和确认表型。一个建议的解释集中在使用不同的FVB背景线(来自Jackson实验室和Janvier实验室)。我们研究了两种背景下的C9orf72 BAC小鼠,发现二肽重复蛋白水平显著升高,但没有证据表明存在与转基因相关的表型。我们观察到,无论遗传背景如何,转基因和非转基因小鼠的癫痫发作和功能表现逐渐下降。这种表型符合所谓的“太空学员综合症”。我们的研究结果表明,先前报道的差异不是由于C9orf72状态,并强调了使用遗传背景的重要性,这些遗传背景不会混淆神经退行性表型的解释。
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来源期刊
Disease Models & Mechanisms
Disease Models & Mechanisms 医学-病理学
CiteScore
6.60
自引率
7.00%
发文量
203
审稿时长
6-12 weeks
期刊介绍: Disease Models & Mechanisms (DMM) is an online Open Access journal focusing on the use of model systems to better understand, diagnose and treat human disease.
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