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Determination of soluble tumor necrosis factor receptor II and secretory immunoglobulin A in saliva of patients with dementia.

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Title: Determination of soluble tumor necrosis factor receptor II and secretory immunoglobulin A in saliva of patients with dementia.
Authors: Cantón-Habas, V. (AUTHOR), Rich-Ruiz, M. (AUTHOR), Martínez-Martos, J. M. (AUTHOR), Ramírez-Expósito, M. J. (AUTHOR), Carrera-González, M. P. (AUTHOR)
Source: European Archives of Psychiatry & Clinical Neuroscience. Oct2024, Vol. 274 Issue 7, p1689-1696. 8p.
Subjects: Tumor necrosis factor receptors, Tumor necrosis factors, Immunoglobulin A, Saliva analysis, Immunity
Abstract: The prevalence of pain and dementia increases with age, affecting a significant percentage of the population due to aging. Both pathologies are connected through the inflammatory process, specifically through the tumor necrosis factor. The effect of this cytokine is mediated through the modulation of its TNFRI and TNFRII receptors, which are linked to the dementia process. In addition, immunoglobulins such as secretory immunoglobulin A (sIgA) have been recognized as one of the main biomarkers of pain in saliva. sTNFRII and sIgA levels were determined in saliva samples by ELISA from healthy people and patients with dementia in GDS stages 5–7. The concentrations of these markers were also correlated with the GDS stage and sex. We observed a significant decrease (*** p ≤ 0.001) in the levels of sTNFRII (pg/mL) and a significant increase (** p ≤ 0.01) in the levels of sIgA (ng/mL) in the saliva of patients with dementia compared to the healthy control group. We did not observe a correlation with the data of the biomarkers regarding the GDS stage and sex. The results obtained for sTNFRII are consistent with those obtained by other authors on brain tissue, who conclude that unopposed neuronal TNFRI signaling, when TNFRII is selectively downregulated, leads to a more severe course of AD pathogenesis. Regarding sIgA, the elevated values of sIgA may reflect the immune status of these patients. Therefore, these biomarkers can provide us with relevant information through a non-invasive method such as saliva analysis. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Determination of soluble tumor necrosis factor receptor II and secretory immunoglobulin A in saliva of patients with dementia.
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  Data: <searchLink fieldCode="AR" term="%22Cantón-Habas%2C+V%2E%22">Cantón-Habas, V.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rich-Ruiz%2C+M%2E%22">Rich-Ruiz, M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martínez-Martos%2C+J%2E+M%2E%22">Martínez-Martos, J. M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ramírez-Expósito%2C+M%2E+J%2E%22">Ramírez-Expósito, M. J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carrera-González%2C+M%2E+P%2E%22">Carrera-González, M. P.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Oct2024, Vol. 274 Issue 7, p1689-1696. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Tumor+necrosis+factor+receptors%22">Tumor necrosis factor receptors</searchLink><br /><searchLink fieldCode="DE" term="%22Tumor+necrosis+factors%22">Tumor necrosis factors</searchLink><br /><searchLink fieldCode="DE" term="%22Immunoglobulin+A%22">Immunoglobulin A</searchLink><br /><searchLink fieldCode="DE" term="%22Saliva+analysis%22">Saliva analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Immunity%22">Immunity</searchLink>
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  Data: The prevalence of pain and dementia increases with age, affecting a significant percentage of the population due to aging. Both pathologies are connected through the inflammatory process, specifically through the tumor necrosis factor. The effect of this cytokine is mediated through the modulation of its TNFRI and TNFRII receptors, which are linked to the dementia process. In addition, immunoglobulins such as secretory immunoglobulin A (sIgA) have been recognized as one of the main biomarkers of pain in saliva. sTNFRII and sIgA levels were determined in saliva samples by ELISA from healthy people and patients with dementia in GDS stages 5–7. The concentrations of these markers were also correlated with the GDS stage and sex. We observed a significant decrease (*** p ≤ 0.001) in the levels of sTNFRII (pg/mL) and a significant increase (** p ≤ 0.01) in the levels of sIgA (ng/mL) in the saliva of patients with dementia compared to the healthy control group. We did not observe a correlation with the data of the biomarkers regarding the GDS stage and sex. The results obtained for sTNFRII are consistent with those obtained by other authors on brain tissue, who conclude that unopposed neuronal TNFRI signaling, when TNFRII is selectively downregulated, leads to a more severe course of AD pathogenesis. Regarding sIgA, the elevated values of sIgA may reflect the immune status of these patients. Therefore, these biomarkers can provide us with relevant information through a non-invasive method such as saliva analysis. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Oct2024
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