The Effects of Inter-Individual Biological Differences and Taphonomic Alteration on Human Bone Protein Profiles: Implications for the Development of PMI/AAD Estimation Methods

The Effects of Inter-Individual Biological Differences and Taphonomic Alteration on Human Bone Protein Profiles: Implications for the Development of PMI/AAD Estimation Methods
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个体间生物学差异和埋藏学改变对人类骨蛋白谱的影响:对 PMI/AAD 估计方法发展的启示

DOI:
10.1101/2020.10.15.341156
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发表时间:
2020
期刊:
--
影响因子:
--
通讯作者:
Mickleburgh H
Mickleburgh H
中科院分区:
--
文献类型:
--
作者:
Mickleburgh H

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骨蛋白质组学研究使用动物代理和去离子人类遗骸提供了令人鼓舞的结果,在寻找潜在的生物标志物,精确和准确的死后间隔(PMI)和死亡年龄(AAD)估计在法医调查。然而,目前,个体间生物学差异和埋藏改变对恢复的人骨蛋白谱的影响还不清楚。本研究调查了四个人体捐献者在户外分解过程中的人骨蛋白质组。评估了衰老现象(体内和死后)以及内在和外在变量对骨蛋白质组多样性和异常性的影响。结果确定了PMI估计的新的潜在生物标志物,以及AAD估计的三个潜在生物标志物。结果还表明,骨矿物质密度(BMD)可能是影响蛋白质存活和提取的重要变量。亮点-CO 3,CO 9,COBA 2,CO 3A 1,MGP,PGS 2和TTHY是潜在的生物标志物,用于死后时间估计在去离子人体遗骸- FETUA,ALBU和OLFL 3是人类遗骸中死亡年龄估计的潜在生物标志物-埋藏学和生物学变量在骨中蛋白质的存活率和提取率中起重要作用-骨矿物质密度可能影响骨中蛋白质的存活,可能是由于矿物质基质对分解微生物运动的影响-较高的骨矿物质密度可能影响胶原蛋白和矿物质结合蛋白的存活率和提取率
Bone proteomics studies using animal proxies and skeletonized human remains have delivered encouraging results in the search for potential biomarkers for precise and accurate post-mortem interval (PMI) and the age-at-death (AAD) estimation in medico-legal investigations. At present, however, the effects of inter-individual biological differences and taphonomic alteration on recovered human bone protein profiles are not well understood. This study investigated the human bone proteome in four human body donors studied throughout decomposition outdoors. The effects of ageing phenomena (in vivoand post-mortem), and intrinsic and extrinsic variables on the variety and abundancy of the bone proteome were assessed. Results identified a new potential biomarker for PMI estimation, as well as three potential biomarkers for AAD estimation. The results also suggest that bone mineral density (BMD) may be an important variable affecting the survival and extraction of proteins.Highlights- CO3, CO9, COBA2, CO3A1, MGP, PGS2 and TTHY are potential biomarkers for post-mortem interval estimation in skeletonized human remains- FETUA, ALBU and OLFL3 are potential biomarkers for age-at-death estimation in human remains- Taphonomic and biological variables play a significant role in survival and extraction rates of proteins in bone- Bone mineral density may affect survival of proteins in bone, probably due to the effects of the mineral matrix on the movement of decomposer microbes- Higher bone mineral density may affect the survival and the extraction rate of collagen and mineral-binding proteins
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发表时间: 2017
影响因子: 3.5
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