Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression
Abstract Inflammation is a probable biological pathway underlying the relationship between diabetes and depression, but data on differences between diabetes types and symptom clusters of depression are scarce. Therefore, this cross-sectional study aimed to compare associations of a multimarker panel...
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| Format: | Article |
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Nature Publishing Group
2025-01-01
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| Series: | Translational Psychiatry |
| Online Access: | https://doi.org/10.1038/s41398-024-03209-y |
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| author | Christian Herder Anna Zhu Andreas Schmitt Maria C. Spagnuolo Bernhard Kulzer Michael Roden Norbert Hermanns Dominic Ehrmann |
| author_facet | Christian Herder Anna Zhu Andreas Schmitt Maria C. Spagnuolo Bernhard Kulzer Michael Roden Norbert Hermanns Dominic Ehrmann |
| author_sort | Christian Herder |
| collection | DOAJ |
| description | Abstract Inflammation is a probable biological pathway underlying the relationship between diabetes and depression, but data on differences between diabetes types and symptom clusters of depression are scarce. Therefore, this cross-sectional study aimed to compare associations of a multimarker panel of biomarkers of inflammation with depressive symptoms and its symptom clusters between people with type 1 diabetes (T1D) and type 2 diabetes (T2D). This cross-sectional study combined data from five studies including 1260 participants (n = 706 T1D, n = 454 T2D). Depressive symptoms were assessed using the Center for Epidemiological Studies-Depression Scale (CES-D). Serum levels of 92 biomarkers of inflammation were quantified with proximity extension assay technology. After quality control, 76 biomarkers of inflammation remained for statistical analysis. Associations between biomarkers and depressive symptom scores and clusters (cognitive-affective, somatic, anhedonia) were estimated with multivariable linear regression models. Nine biomarkers were positively associated with depressive symptoms in the total sample (CCL11/eotaxin, CCL25, CDCP1, FGF-21, IL-8, IL-10RB, IL-18, MMP-10, TNFRSF9; all p < 0.05) without interaction by diabetes type. Associations differed for eight biomarkers (p interaction < 0.05). TNFβ was inversely associated with depressive symptoms in T1D, whereas three biomarkers (GDNF, IL-18R1, LIF-R) were positively associated with depressive symptoms in T2D. For the remaining four biomarkers (CD6, CD244, FGF-5, IFNγ) associations were not significant in either subgroup. Biomarker associations were more pronounced with somatic and anhedonia than with cognitive-affective symptoms. These results indicate that different proinflammatory pathways may contribute to depression in T1D and T2D and that there may be a symptom specificity in the link between subclinical inflammation and depression. |
| format | Article |
| id | doaj-art-08ecfebc84c546e5bb5f39a6472335de |
| institution | Kabale University |
| issn | 2158-3188 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Translational Psychiatry |
| spelling | doaj-art-08ecfebc84c546e5bb5f39a6472335de2025-01-12T12:40:51ZengNature Publishing GroupTranslational Psychiatry2158-31882025-01-011511910.1038/s41398-024-03209-yAssociations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depressionChristian Herder0Anna Zhu1Andreas Schmitt2Maria C. Spagnuolo3Bernhard Kulzer4Michael Roden5Norbert Hermanns6Dominic Ehrmann7Institute for Clinical Diabetology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University DüsseldorfInstitute for Clinical Diabetology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University DüsseldorfGerman Center for Diabetes Research (DZD)Institute for Clinical Diabetology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University DüsseldorfGerman Center for Diabetes Research (DZD)Institute for Clinical Diabetology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University DüsseldorfGerman Center for Diabetes Research (DZD)German Center for Diabetes Research (DZD)Abstract Inflammation is a probable biological pathway underlying the relationship between diabetes and depression, but data on differences between diabetes types and symptom clusters of depression are scarce. Therefore, this cross-sectional study aimed to compare associations of a multimarker panel of biomarkers of inflammation with depressive symptoms and its symptom clusters between people with type 1 diabetes (T1D) and type 2 diabetes (T2D). This cross-sectional study combined data from five studies including 1260 participants (n = 706 T1D, n = 454 T2D). Depressive symptoms were assessed using the Center for Epidemiological Studies-Depression Scale (CES-D). Serum levels of 92 biomarkers of inflammation were quantified with proximity extension assay technology. After quality control, 76 biomarkers of inflammation remained for statistical analysis. Associations between biomarkers and depressive symptom scores and clusters (cognitive-affective, somatic, anhedonia) were estimated with multivariable linear regression models. Nine biomarkers were positively associated with depressive symptoms in the total sample (CCL11/eotaxin, CCL25, CDCP1, FGF-21, IL-8, IL-10RB, IL-18, MMP-10, TNFRSF9; all p < 0.05) without interaction by diabetes type. Associations differed for eight biomarkers (p interaction < 0.05). TNFβ was inversely associated with depressive symptoms in T1D, whereas three biomarkers (GDNF, IL-18R1, LIF-R) were positively associated with depressive symptoms in T2D. For the remaining four biomarkers (CD6, CD244, FGF-5, IFNγ) associations were not significant in either subgroup. Biomarker associations were more pronounced with somatic and anhedonia than with cognitive-affective symptoms. These results indicate that different proinflammatory pathways may contribute to depression in T1D and T2D and that there may be a symptom specificity in the link between subclinical inflammation and depression.https://doi.org/10.1038/s41398-024-03209-y |
| spellingShingle | Christian Herder Anna Zhu Andreas Schmitt Maria C. Spagnuolo Bernhard Kulzer Michael Roden Norbert Hermanns Dominic Ehrmann Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression Translational Psychiatry |
| title | Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression |
| title_full | Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression |
| title_fullStr | Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression |
| title_full_unstemmed | Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression |
| title_short | Associations between biomarkers of inflammation and depressive symptoms—potential differences between diabetes types and symptom clusters of depression |
| title_sort | associations between biomarkers of inflammation and depressive symptoms potential differences between diabetes types and symptom clusters of depression |
| url | https://doi.org/10.1038/s41398-024-03209-y |
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