2023 Fiscal Year Final Research Report
History of chemical exposure from fetal to infancy: development of deciduous tooth analytical method for exposome
| Project/Area Number |
22K19853
|
| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
|
| Allocation Type | Multi-year Fund |
| Review Section |
Medium-sized Section 63:Environmental analyses and evaluation and related fields
|
| Research Institution | National Institute for Environmental Studies |
Principal Investigator |
Iwai-Shimada Miyuki 国立研究開発法人国立環境研究所, 環境リスク・健康領域, 主任研究員 (80723957)
|
| Co-Investigator(Kenkyū-buntansha) |
磯部 友彦 国立研究開発法人国立環境研究所, 環境リスク・健康領域, 主幹研究員 (50391066)
|
| Project Period (FY) |
2022-06-30 – 2024-03-31
|
| Keywords | 乳歯 / 質量分析 / 環境保健 / 曝露 / エクスポゾーム |
| Outline of Final Research Achievements |
This study aimed to develop a method for measuring low molecular weight compounds (LMWCs) in deciduous teeth while preserving their morphological integrity. Deciduous teeth, naturally shed during childhood, serve as non-invasive biological samples and contain valuable information about an individual's exposure history. Deciduous teeth were sectioned and mounted on conductive glass slides. Matrix solutions were applied, and the LMWCs were analyzed using an iMScope QT. Numerous mass spectra were detected in the 100-400 m/z range, which were attributed to the deciduous teeth themselves. These mass spectra likely represent endogenous compounds related to the tooth structure and composition. The results demonstrate the potential of using iMScope QT to analyze LMWCs in deciduous teeth without compromising their morphology. This method could provide insights into an individual's exposure history and overall health status.
|
| Free Research Field |
環境保健学
|
| Academic Significance and Societal Importance of the Research Achievements |
本研究では、イメージング質量分析により乳歯中で検出される低分子化合物について、乳歯の形態を保持したまま網羅的に探索できる手法を構築した。乳歯の解剖学的特徴から、乳歯薄片を割れ目なく作成するのは難易度が高く、世界的にも同様の研究を進めているグループは限られている。乳歯の形態を保持したまま分析することで、乳歯の成長に伴って取り込まれた物質を捉えることが可能であり、開発した本手法の応用範囲は広く、乳歯の特徴である時間軸情報を活用した分析法となり、今後疫学研究と融合することで新たな研究展開をもたらすことが期待できる。
|