Parize Graziele, Luana Jimenez Gabrielle, Shibli Jamil Awad, Siroma Rafael, Caetano Matheus Willian, Kim Yeon Jung, Braz-Silva Paulo Henrique, da Silva Martinho Herculano, Pallos Debora
University of Santo Amaro (UNISA), Rua Isabel Schmidt 349, São Paulo 04743-030, Brazil.
Centro de Ciências Naturais e Humanas, Universidade Federal Do ABC (UFABC), Santo André, São Paulo 09280-560, Brazil.
J Proteome Res. 2025 Feb 7;24(2):639-648. doi: 10.1021/acs.jproteome.4c00707. Epub 2025 Jan 10.
Peri-implantitis is characterized as a pathological change in the tissues around dental implants. Fourier-transform infrared spectroscopy (FTIR) provides molecular information from optical phenomena observed by the vibration of molecules, which is used in biological studies to characterize changes and serves as a form of diagnosis.
this case-control study evaluated the peri-implant disease by using FTIR spectroscopy with attenuated total reflectance in the fingerprint region.
38 saliva samples were evaluated, 17 from the control group and 21 from the peri-implantitis group. Clinical data such as plaque index (PI), gingival index, probing depth (PS), and attachment level were assessed.
The results of clinical parameters showed a statistical difference between the two groups regarding an excess of the PI. In the FTIR-ATR analysis, the main components revealed vibrational modes of fatty acids, histidine, lipid esters, nucleic acids, and tryptophan, with the main molecules contributing to spectral discrimination. The five-component partial least-squares discriminant analysis classification model had an accuracy of 81%, showing differences between healthy and diseased implants.
the FTIR spectroscopy provides important molecular characteristics of the samples and the results in association with clinical data show the effectiveness of using this tool for diagnosing the disease.
种植体周炎的特征是牙种植体周围组织的病理变化。傅里叶变换红外光谱（FTIR）通过分子振动观察到的光学现象提供分子信息，在生物学研究中用于表征变化并作为一种诊断形式。
本病例对照研究使用指纹区域衰减全反射傅里叶变换红外光谱对种植体周围疾病进行评估。
评估了38份唾液样本，其中17份来自对照组，21份来自种植体周炎组。评估了菌斑指数（PI）、牙龈指数、探诊深度（PS）和附着水平等临床数据。
临床参数结果显示，两组在PI过高方面存在统计学差异。在傅里叶变换红外衰减全反射（FTIR-ATR）分析中，主要成分显示了脂肪酸、组氨酸、脂质酯、核酸和色氨酸的振动模式，主要分子有助于光谱鉴别。五成分偏最小二乘判别分析分类模型的准确率为81%，显示了健康种植体和患病种植体之间的差异。
傅里叶变换红外光谱提供了样本重要的分子特征，其结果与临床数据相结合表明使用该工具诊断疾病的有效性。
