Nava Alessia, Bondioli Luca, Coppa Alfredo, Dean Christopher, Rossi Paola Francesca, Zanolli Clément
Dipartimento di Biologia Ambientale, Università di Roma 'La Sapienza', Rome, Italy.
Museo delle Civiltà. Museo Nazionale Preistorico Etnografico 'Luigi Pigorini', Section of Bioarchaeology, Rome, Italy.
PLoS One. 2017 Jul 12;12(7):e0180104. doi: 10.1371/journal.pone.0180104. eCollection 2017.
The characterization and quantification of human dental enamel microstructure, in both permanent and deciduous teeth, allows us to document crucial growth parameters and to identify stressful events, thus contributing to the reconstruction of the past life history of an individual. Most studies to date have focused on the more accessible post-natal portion of the deciduous dental enamel, even though the analysis of prenatal enamel is pivotal in understanding fetal growth, and reveals information about the mother's health status during pregnancy. This contribution reports new data describing the prenatal enamel development of 18 central deciduous incisors from the Imperial Roman necropolis of Velia (I-II century CE, Salerno, Italy). Histomorphometrical analysis was performed to collect data on prenatal crown formation times, daily secretion rates and enamel extension rates. Results for the Velia sample allowed us to derive a new regression formula, using a robust statistical approach, that describes the average rates of deciduous enamel formation. This can now be used as a reference for pre-industrial populations. The same regression formula, even when daily incremental markings are difficult to visualize, may provide a clue to predicting the proportion of infants born full term and pre-term in an archaeological series.
对恒牙和乳牙的人类牙釉质微观结构进行表征和量化,有助于我们记录关键的生长参数并识别压力事件,从而有助于重建个体过去的生活史。尽管产前牙釉质分析对于理解胎儿生长至关重要,并能揭示孕期母亲的健康状况信息,但迄今为止,大多数研究都集中在更易获取的乳牙牙釉质出生后部分。本论文报道了关于来自意大利萨勒诺韦利亚帝国罗马墓地(公元1-2世纪)的18颗乳中切牙产前牙釉质发育的新数据。进行了组织形态计量分析,以收集产前牙冠形成时间、每日分泌率和牙釉质延伸率的数据。韦利亚样本的结果使我们能够使用稳健的统计方法得出一个新的回归公式,该公式描述了乳牙牙釉质形成的平均速率。现在,这可以用作工业化前人群的参考。即使每日增量标记难以可视化,相同的回归公式也可能为预测考古序列中足月和早产婴儿的比例提供线索。