| Title: | Inflammatory Markers Were Associated with the Comorbidity Patterns |
| Journal: | Clinical and Molecular Epidemiology |
| Published: | 30 May 2025 |
| DOI: | https://doi.org/10.53964/cme.2025006 |
| URL: | https://image.innovationforever.com//file/20250530/3887c8b5e11d47e488cd9ba5efeee044/CME20250022.pdf |
Publication 15164
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Abstract
Background: Inflammation is a common risk factor for multiple chronic diseases, but its relationship with multimorbidity that is a coexistence state of multiple medical conditions/diseases is still unknown. This study aimed to investigate the association between multimorbidity and inflammatory markers in a large population-based cohort from the UK Biobank. Methods: Based on the UK Biobank database, 336,748 eligible participants were included in the final analysis. Data on 14 disease phenotypes (including ICD10 coding and self-report) and 6 inflammatory markers were extracted. We analyzed the correlations of comorbidity patterns and C-reactive protein (CRP), triglyceride (TG), albumin (ALB), alkaline phosphatase (ALP), glycosylated hemoglobin (HbA1c), and apolipoprotein A (APOA1). Nonparametric Spearman correlation analysis and multiple linear regression analysis were used to evaluate the relationship between comorbidity patterns (having 2 or more diseases) and the levels of six inflammatory markers. Results: The 14 chronic diseases have gender-specific differences in prevalence. All the six biomarkers were significantly associated with comorbidity model, with negatively with ALB and APOA1, and positively TG, CRP, ALP and HbA1c. Logistic regression analyses showed that the associations were significant before and after adjusting for gender, age, smoking, drinking, BMI, and Townsend deprivation index. Conclusion: This study enhance our understanding of inflammatory pathways in multimorbidity development, clarify the pro-inflammatory biomarker patterns (elevated CRP, TG, ALP, HbA1c and reduced ALB, APOA1) linked to disease clustering, and guide future interventions targeting inflammation modulation or biomarker-driven risk stratification.</p>
4 Authors
- Jiaxin Wu
- Ting Fu
- Lin Bo
- Shufeng Lei
1 Application
| Application ID | Title |
|---|---|
| 76875 | Systematic Screening of Risk Factors for Bone and Joint Diseases |
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