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蚂蚁可作为患者来源异种移植小鼠肿瘤的嗅觉生物探测器。

Ants act as olfactory bio-detectors of tumours in patient-derived xenograft mice.

机构信息

Laboratory of Experimental and Comparative Ethology, Université Sorbonne Paris Nord, Villetaneuse UR4443, France.

Translational Research Department, Institut Curie, 26 Rue d'Ulm, 75005 Paris, France.

出版信息

Proc Biol Sci. 2023 Jan 25;290(1991):20221962. doi: 10.1098/rspb.2022.1962.

Abstract

Early detection of cancer is critical in medical sciences, as the sooner a cancer is diagnosed, the higher are the chances of recovery. Tumour cells are characterized by specific volatile organic compounds (VOCs) that can be used as cancer biomarkers. Through olfactory associative learning, animals can be trained to detect these VOCs. Insects such as ants have a refined sense of smell, and can be easily and rapidly trained with olfactory conditioning. Using urine from patient-derived xenograft mice as stimulus, we demonstrate that individual ants can learn to discriminate the odour of healthy mice from that of tumour-bearing mice and do so after only three conditioning trials. After training, they spend approximately 20% more time in the vicinity of the learned odour than beside the other stimulus. Chemical analyses confirmed that the presence of the tumour changed the urine odour, supporting the behavioural results. Our study demonstrates that ants reliably detect tumour cues in mice urine and have the potential to act as efficient and inexpensive cancer bio-detectors.

摘要

癌症的早期检测在医学科学中至关重要,因为癌症越早被诊断出来,康复的机会就越高。肿瘤细胞的特征是具有特定的挥发性有机化合物(VOCs),可作为癌症生物标志物。通过嗅觉联想学习,动物可以被训练来检测这些 VOCs。昆虫,如蚂蚁,具有敏锐的嗅觉,可以通过嗅觉条件作用很容易且快速地进行训练。使用源自患者衍生的异种移植小鼠的尿液作为刺激物,我们证明单个蚂蚁可以学会区分健康小鼠和肿瘤小鼠的气味,并且仅在三次条件作用后就可以做到这一点。经过训练,它们在学习气味的附近花费的时间比在另一个刺激物旁边的时间多约 20%。化学分析证实肿瘤的存在改变了尿液的气味,支持了行为学结果。我们的研究表明,蚂蚁可靠地检测到了小鼠尿液中的肿瘤线索,并且有潜力成为高效、廉价的癌症生物探测器。

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本文引用的文献

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Ants detect cancer cells through volatile organic compounds.蚂蚁通过挥发性有机化合物检测癌细胞。
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Odors and cancer: Current status and future directions.气味与癌症:现状与未来方向。
Biochim Biophys Acta Rev Cancer. 2022 Jan;1877(1):188644. doi: 10.1016/j.bbcan.2021.188644. Epub 2021 Nov 1.

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