鼻细胞学和临床鼻科学支持转化综合神经科学的观点。

IF 2.7 4区 医学 Q3 NEUROSCIENCES
Wael Abu Ruqa, Martina Romeo, Gianluca Cipolloni, Davide Rosati, Camilla Laureti, Stefano Venarubea, Fabrizio Liberati, Alessandro Santirocchi, Carla Petrella, Carlo Cogoni, Vincenzo Cestari, Christian Barbato, Antonio Minni
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引用次数: 0

摘要

鼻细胞学正在发展成为诊断神经和精神疾病,特别是阿尔茨海默病和帕金森病等疾病的有前途的工具。此外,最近的研究表明,在死前和死后采集的样本中,生物标志物差异很大。鼻细胞学检查可能有助于识别认知能力下降的早期阶段。嗅觉障碍与这些神经系统疾病的联系是显著的。这意味着,我们可能认为理所当然的鼻子,很可能是在这些疾病的早期诊断中建立重要生物标志物的最佳手段。鼻是上皮细胞和神经上皮细胞的来源,可用于体外培养模型,鼻细胞学为转化、综合神经科学研究提供了新的途径。未来将人工智能纳入细胞学分析将有助于接受鼻细胞学作为神经退行性和精神疾病的筛查平台,促进患者的早期诊断和更好的管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nasal Cytology and Clinical Rhinology Support a Translational Integrative Neuroscience Perspective.

Nasal cytology is evolving into a promising tool for diagnosing neurological and psychiatric disorders, especially those such as Alzheimer's and Parkinson's diseases. Moreover, recent research has indicated that biomarkers differ greatly between samples taken before and after death. Nasal cytology might help to identify the early stages of cognitive decline. The association of olfactory disturbances with a host of these neurological disorders is remarkable. This means that the nose, something we probably take for granted, could well be the best means of establishing important biomarkers for earlier diagnoses in these conditions. The nose is a source of epithelial and neuroepithelial cells that can be used in in vitro cultured models and nasal cytology provides new avenues for translational, integrative neuroscientific research. The future incorporation of artificial intelligence into cytological analyses would facilitate the acceptance of nasal cytology as a screening platform for neurodegenerative and psychiatric conditions, facilitating early diagnosis and better management for patients.

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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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