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时光飞逝——用于估计死后间隔时间的成年苍蝇年龄分级

Time Flies-Age Grading of Adult Flies for the Estimation of the Post-Mortem Interval.

作者信息

Amendt Jens, Bugelli Valentina, Bernhardt Victoria

机构信息

Institute of Legal Medicine, University Hospital Frankfurt/Main, Goethe-University, 60323 Frankfurt/Main, Germany.

Dipartimento di Scienze della Salute, Sezione di Scienze Medico Forensi, Università di Firenze, 50134 Firenze, Italy.

出版信息

Diagnostics (Basel). 2021 Jan 21;11(2):152. doi: 10.3390/diagnostics11020152.

Abstract

The estimation of the minimum time since death is one of the main applications of forensic entomology. This can be done by calculating the age of the immature stage of necrophagous flies developing on the corpse, which is confined to approximately 2-4 weeks, depending on temperature and species of the first colonizing wave of flies. Adding the age of the adult flies developed on the dead body could extend this time frame up to several weeks when the body is in a building or closed premise. However, the techniques for accurately estimating the age of adult flies are still in their beginning stages or not sufficiently validated. Here we review the current state of the art of analysing the aging of flies by evaluating the ovarian development, the amount of pteridine in the eyes, the degree of wing damage, the modification of their cuticular hydrocarbon patterns, and the increasing number of growth layers in the cuticula. New approaches, including the use of age specific molecular profiles based on the levels of gene and protein expression and the application of near infrared spectroscopy, are introduced, and the forensic relevance of these methods is discussed.

摘要

死亡后最短时间的估算是法医昆虫学的主要应用之一。这可以通过计算在尸体上发育的嗜尸性苍蝇未成熟阶段的年龄来完成,该阶段受限于大约2至4周,具体取决于温度和首批定殖苍蝇的种类。当尸体处于建筑物或封闭场所时,加上在尸体上发育的成年苍蝇的年龄,这个时间框架可以延长至数周。然而,准确估算成年苍蝇年龄的技术仍处于起步阶段或尚未得到充分验证。在此,我们通过评估卵巢发育、眼睛中蝶啶的含量、翅膀损伤程度、表皮碳氢化合物模式的变化以及表皮中生长层数量的增加,来综述分析苍蝇老化的当前技术水平。我们还介绍了新的方法,包括基于基因和蛋白质表达水平使用特定年龄的分子图谱以及应用近红外光谱,并讨论了这些方法在法医方面的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a436/7909779/c67d060b2c92/diagnostics-11-00152-g001.jpg

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