Discrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease.
To understand the role of inflammation in chronic disease it is important to have a reliable measure of habitual inflammatory status. A number of acute-phase response markers have been used as measures of inflammatory status, but the ability of a single measure to appropriately reflect habitual infl...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
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2004
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| _version_ | 1797079643849752576 |
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| author | Browning, L Krebs, J Jebb, SA |
| author_facet | Browning, L Krebs, J Jebb, SA |
| author_sort | Browning, L |
| collection | OXFORD |
| description | To understand the role of inflammation in chronic disease it is important to have a reliable measure of habitual inflammatory status. A number of acute-phase response markers have been used as measures of inflammatory status, but the ability of a single measure to appropriately reflect habitual inflammatory status has not been assessed. This study compares the ability of different inflammatory markers to characterize habitual inflammatory status in overweight women. A single fasting blood sample was taken from 86 overweight women (mean body mass index [BMI], 35.2 kg/m2; range, 26.2 to 47.6 kg/m2) and a number of inflammatory markers (both acute-phase response markers and cytokines) were measured. A randomly selected subpopulation of 15 women attended on 2 further occasions for further blood samples. Using the subpopulation, discrimination ratios (DRs) were calculated for each inflammatory marker to assess the within-subject variability. The DRs were then used to determine the relationship between these markers, adjusted for within-subject variability, in the whole population. In this highly controlled experimental environment, interleukin-6 (IL-6), with a DR of 3.71, was the cytokine with the greatest ability to discriminate between subjects, suggesting that it is best able to characterize habitual inflammatory status. Sialic acid was the acute-phase response marker with the highest DR (3.16), and showed stronger correlations with other inflammatory markers, including C-reactive protein (CRP), than IL-6. This study suggests that use of some inflammatory markers, such as CRP, with large within-individual variability, will underestimate the relationship between inflammation and disease, and thus relationships between inflammation and chronic disease may be stronger than previously appreciated. Future studies should consider IL-6 or sialic acid to provide a more robust measure of inflammatory status. |
| first_indexed | 2024-03-07T00:48:51Z |
| format | Journal article |
| id | oxford-uuid:85a647e9-9d24-4846-9e33-6fa1453f2fbe |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:48:51Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | oxford-uuid:85a647e9-9d24-4846-9e33-6fa1453f2fbe2022-03-26T21:58:56ZDiscrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:85a647e9-9d24-4846-9e33-6fa1453f2fbeEnglishSymplectic Elements at Oxford2004Browning, LKrebs, JJebb, SATo understand the role of inflammation in chronic disease it is important to have a reliable measure of habitual inflammatory status. A number of acute-phase response markers have been used as measures of inflammatory status, but the ability of a single measure to appropriately reflect habitual inflammatory status has not been assessed. This study compares the ability of different inflammatory markers to characterize habitual inflammatory status in overweight women. A single fasting blood sample was taken from 86 overweight women (mean body mass index [BMI], 35.2 kg/m2; range, 26.2 to 47.6 kg/m2) and a number of inflammatory markers (both acute-phase response markers and cytokines) were measured. A randomly selected subpopulation of 15 women attended on 2 further occasions for further blood samples. Using the subpopulation, discrimination ratios (DRs) were calculated for each inflammatory marker to assess the within-subject variability. The DRs were then used to determine the relationship between these markers, adjusted for within-subject variability, in the whole population. In this highly controlled experimental environment, interleukin-6 (IL-6), with a DR of 3.71, was the cytokine with the greatest ability to discriminate between subjects, suggesting that it is best able to characterize habitual inflammatory status. Sialic acid was the acute-phase response marker with the highest DR (3.16), and showed stronger correlations with other inflammatory markers, including C-reactive protein (CRP), than IL-6. This study suggests that use of some inflammatory markers, such as CRP, with large within-individual variability, will underestimate the relationship between inflammation and disease, and thus relationships between inflammation and chronic disease may be stronger than previously appreciated. Future studies should consider IL-6 or sialic acid to provide a more robust measure of inflammatory status. |
| spellingShingle | Browning, L Krebs, J Jebb, SA Discrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease. |
| title | Discrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease. |
| title_full | Discrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease. |
| title_fullStr | Discrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease. |
| title_full_unstemmed | Discrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease. |
| title_short | Discrimination ratio analysis of inflammatory markers: implications for the study of inflammation in chronic disease. |
| title_sort | discrimination ratio analysis of inflammatory markers implications for the study of inflammation in chronic disease |
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