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唾液氨基酸与年龄及牙周病的独立相关性

Age- and Periodontal Disease Independent Correlation of Salivary Amino Acids.

作者信息

Tanaka Shoji, Sakagami Hiroshi, Sugimoto Masahiro

机构信息

Meikai University School of Dentistry, Sakado, Japan.

Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan;

出版信息

In Vivo. 2025 May-Jun;39(3):1237-1250. doi: 10.21873/invivo.13928.

DOI:10.21873/invivo.13928
PMID:40295002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12042004/
Abstract

BACKGROUND/AIM: This study explored the relationship between salivary metabolomic profiles, periodontal diseases, and age.

PATIENTS AND METHODS

Resting whole saliva samples were collected from a cohort comprising 21 women and 30 men aged 20 to 70 years, including healthy volunteers and patients with different stages of periodontal diseases. Hydrophilic metabolites were analyzed using capillary electrophoresis-mass spectrometry. The concentrations were quantified and analyzed using multivariable analysis with or without normalization to eliminate overall differences in salivary concentrations across the samples.

RESULTS

Metabolomic analysis quantified the absolute concentration of 248 metabolites in saliva samples. The unnormalized metabolomic profiles formed large clusters, with more than half of the detected metabolites showing positive correlations with each other. The absence of such clusters in the normalized data suggests the presence of individual differences in the processed data. The presence of urea, whose concentration increased gradually with the degree of progression of periodontal disease, and leucine, whose concentration decreased gradually, was identified. Highly positive correlations were observed between proline and glycine, which remained consistent regardless of normalization, age, or disease progression.

CONCLUSION

The metabolomic profiles of salivary samples revealed unique correlations between amino acids that were independent of age and periodontal disease.

摘要

背景/目的:本研究探讨唾液代谢组学特征、牙周疾病和年龄之间的关系。

患者与方法

从一个队列中收集静息全唾液样本,该队列包括21名女性和30名年龄在20至70岁之间的男性,其中有健康志愿者以及处于不同牙周疾病阶段的患者。使用毛细管电泳-质谱法分析亲水性代谢物。通过多变量分析对浓度进行定量和分析,分析时进行或不进行归一化处理,以消除样本间唾液浓度的总体差异。

结果

代谢组学分析对唾液样本中248种代谢物的绝对浓度进行了定量。未归一化的代谢组学特征形成了大的聚类,超过一半的检测到的代谢物相互之间呈正相关。归一化数据中不存在此类聚类,这表明处理后的数据存在个体差异。已确定尿素的存在,其浓度随着牙周疾病的进展程度逐渐增加,以及亮氨酸的存在,其浓度逐渐降低。脯氨酸和甘氨酸之间观察到高度正相关,无论是否进行归一化、年龄或疾病进展情况如何,这种相关性都保持一致。

结论

唾液样本的代谢组学特征揭示了氨基酸之间独特的相关性,这些相关性独立于年龄和牙周疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/e51cfa7fd81c/in_vivo-39-1247-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/6956cb06a7ba/in_vivo-39-1240-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/6f2452d75c0c/in_vivo-39-1242-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/80014e2b83ca/in_vivo-39-1244-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/a4b065b3e6fb/in_vivo-39-1245-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/5f3a1e65b41f/in_vivo-39-1246-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/e51cfa7fd81c/in_vivo-39-1247-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/6956cb06a7ba/in_vivo-39-1240-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/6f2452d75c0c/in_vivo-39-1242-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/80014e2b83ca/in_vivo-39-1244-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/a4b065b3e6fb/in_vivo-39-1245-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/5f3a1e65b41f/in_vivo-39-1246-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/12042004/e51cfa7fd81c/in_vivo-39-1247-g0001.jpg

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本文引用的文献

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Metabolites. 2023 Mar 3;13(3):379. doi: 10.3390/metabo13030379.
2
Salivary Metabolomics in the Diagnosis and Monitoring of Neurodegenerative Dementia.唾液代谢组学在神经退行性痴呆诊断与监测中的应用
Metabolites. 2023 Feb 4;13(2):233. doi: 10.3390/metabo13020233.
3
Salivary Metabolomics for Systemic Cancer Diagnosis: A Systematic Review.用于系统性癌症诊断的唾液代谢组学:一项系统综述。
Metabolites. 2022 Dec 23;13(1):28. doi: 10.3390/metabo13010028.
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Untargeted Metabolomic Approach to Study the Impact of Aging on Salivary Metabolome in Women.采用非靶向代谢组学方法研究衰老对女性唾液代谢组的影响。
Metabolites. 2022 Oct 18;12(10):986. doi: 10.3390/metabo12100986.
5
Human age-declined saliva metabolic markers determined by LC-MS.基于 LC-MS 的人类唾液衰老代谢标志物。
Sci Rep. 2021 Sep 13;11(1):18135. doi: 10.1038/s41598-021-97623-7.
6
Aging-Related Metabolic Dysfunction in the Salivary Gland: A Review of the Literature.唾液腺与年龄相关的代谢功能障碍:文献综述。
Int J Mol Sci. 2021 May 29;22(11):5835. doi: 10.3390/ijms22115835.
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Metabolomics Signatures of Aging: Recent Advances.衰老的代谢组学特征:最新进展
Aging Dis. 2021 Apr 1;12(2):646-661. doi: 10.14336/AD.2020.0909. eCollection 2021 Apr.
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Salivary metabolomics for the diagnosis of periodontal diseases: a systematic review with methodological quality assessment.唾液代谢组学在牙周病诊断中的应用:系统评价及方法学质量评估。
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Whole Blood Metabolomics in Aging Research.全血代谢组学在衰老研究中的应用。
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Int J Clin Oncol. 2020 Jun;25(6):1016-1036. doi: 10.1007/s10147-020-01660-7. Epub 2020 Mar 27.