Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
BackgroundInflammation is a risk factor for cardiovascular disease (CVD), and particular inflammatory parameters can be used to predict the incidence of CVD. The aim of this study was to assess the association between fibrinogen (FIB), interleukin-6 (IL-6), C-reactive protein (CRP) and galectin-3 (G...
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Frontiers Media S.A.
2023-07-01
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Series: | Frontiers in Cardiovascular Medicine |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1175174/full |
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author | Yifei Liu Yifei Liu Suzhen Guan Suzhen Guan Haiming Xu Haiming Xu Na Zhang Na Zhang Min Huang Min Huang Zhihong Liu Zhihong Liu |
author_facet | Yifei Liu Yifei Liu Suzhen Guan Suzhen Guan Haiming Xu Haiming Xu Na Zhang Na Zhang Min Huang Min Huang Zhihong Liu Zhihong Liu |
author_sort | Yifei Liu |
collection | DOAJ |
description | BackgroundInflammation is a risk factor for cardiovascular disease (CVD), and particular inflammatory parameters can be used to predict the incidence of CVD. The aim of this study was to assess the association between fibrinogen (FIB), interleukin-6 (IL-6), C-reactive protein (CRP) and galectin-3 (Gal-3) and the risk of cardiovascular disease using meta-analysis.MethodsPubMed, Embase, Scopus, and Web of Science databases were searched with the appropriate strategies to identify observational studies relevant to this meta-analysis. A random-effects model was used to combine inflammation factor-associated outcomes and cardiovascular disease outcomes, except in the case of galectin-3, where a fixed-effects model was used because of less heterogeneity. Location, age, type of cardiovascular disease, and sample size factors were used to explore heterogeneity in stratification and metaregression for subgroup analysis. A case-by-case literature exclusion approach was used for sensitivity analysis. The funnel plot and Begg's test were combined to assess publication bias.ResultsThirty-three papers out of 11,456 were screened for inclusion in the analysis. Four inflammation biomarkers were significantly associated with the development of CVD: FIB (OR: 1.21, 95% CI: 1.15–1.27, P < 0.001; HR: 1.04, 95% CI: 1.00–1.07, P < 0.05), IL-6 (HR: 1.16, 95% CI: 1.10–1.22, P < 0.001), CRP (OR: 1.25, 95% CI: 1.15–1.35, P < 0.001; HR: 1.20, 95% CI: 1.14–1.25, P < 0.001) and Gal-3 (HR: 1.09, 95% CI: 1.05–1.14, P < 0.001). Location factors help explain the source of heterogeneity, and there is publication bias in the Gal-3 related literature.ConclusionTaken together, the current research evidence suggests that high levels of fibrinogen, interleukin-6, C-reactive protein and galectin-3 are risk factors for cardiovascular disease and can be used as biomarkers to predict the development of cardiovascular disease to some extent.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO, identifier: CRD42023391844. |
first_indexed | 2024-03-13T00:52:50Z |
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id | doaj.art-063139ca23214d1d910b7d12d682617e |
institution | Directory Open Access Journal |
issn | 2297-055X |
language | English |
last_indexed | 2024-03-13T00:52:50Z |
publishDate | 2023-07-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Cardiovascular Medicine |
spelling | doaj.art-063139ca23214d1d910b7d12d682617e2023-07-07T08:40:16ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2023-07-011010.3389/fcvm.2023.11751741175174Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysisYifei Liu0Yifei Liu1Suzhen Guan2Suzhen Guan3Haiming Xu4Haiming Xu5Na Zhang6Na Zhang7Min Huang8Min Huang9Zhihong Liu10Zhihong Liu11School of Public Health, Ningxia Medical University, Yinchuan, ChinaKey Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, ChinaSchool of Public Health, Ningxia Medical University, Yinchuan, ChinaKey Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, ChinaSchool of Public Health, Ningxia Medical University, Yinchuan, ChinaKey Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, ChinaSchool of Public Health, Ningxia Medical University, Yinchuan, ChinaKey Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, ChinaSchool of Public Health, Ningxia Medical University, Yinchuan, ChinaKey Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, ChinaSchool of Public Health, Ningxia Medical University, Yinchuan, ChinaKey Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, ChinaBackgroundInflammation is a risk factor for cardiovascular disease (CVD), and particular inflammatory parameters can be used to predict the incidence of CVD. The aim of this study was to assess the association between fibrinogen (FIB), interleukin-6 (IL-6), C-reactive protein (CRP) and galectin-3 (Gal-3) and the risk of cardiovascular disease using meta-analysis.MethodsPubMed, Embase, Scopus, and Web of Science databases were searched with the appropriate strategies to identify observational studies relevant to this meta-analysis. A random-effects model was used to combine inflammation factor-associated outcomes and cardiovascular disease outcomes, except in the case of galectin-3, where a fixed-effects model was used because of less heterogeneity. Location, age, type of cardiovascular disease, and sample size factors were used to explore heterogeneity in stratification and metaregression for subgroup analysis. A case-by-case literature exclusion approach was used for sensitivity analysis. The funnel plot and Begg's test were combined to assess publication bias.ResultsThirty-three papers out of 11,456 were screened for inclusion in the analysis. Four inflammation biomarkers were significantly associated with the development of CVD: FIB (OR: 1.21, 95% CI: 1.15–1.27, P < 0.001; HR: 1.04, 95% CI: 1.00–1.07, P < 0.05), IL-6 (HR: 1.16, 95% CI: 1.10–1.22, P < 0.001), CRP (OR: 1.25, 95% CI: 1.15–1.35, P < 0.001; HR: 1.20, 95% CI: 1.14–1.25, P < 0.001) and Gal-3 (HR: 1.09, 95% CI: 1.05–1.14, P < 0.001). Location factors help explain the source of heterogeneity, and there is publication bias in the Gal-3 related literature.ConclusionTaken together, the current research evidence suggests that high levels of fibrinogen, interleukin-6, C-reactive protein and galectin-3 are risk factors for cardiovascular disease and can be used as biomarkers to predict the development of cardiovascular disease to some extent.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO, identifier: CRD42023391844.https://www.frontiersin.org/articles/10.3389/fcvm.2023.1175174/fullfibrinogeninterleukin-6C-reactive proteingalectin-3cardiovascular diseasemeta-analysis |
spellingShingle | Yifei Liu Yifei Liu Suzhen Guan Suzhen Guan Haiming Xu Haiming Xu Na Zhang Na Zhang Min Huang Min Huang Zhihong Liu Zhihong Liu Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis Frontiers in Cardiovascular Medicine fibrinogen interleukin-6 C-reactive protein galectin-3 cardiovascular disease meta-analysis |
title | Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis |
title_full | Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis |
title_fullStr | Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis |
title_full_unstemmed | Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis |
title_short | Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis |
title_sort | inflammation biomarkers are associated with the incidence of cardiovascular disease a meta analysis |
topic | fibrinogen interleukin-6 C-reactive protein galectin-3 cardiovascular disease meta-analysis |
url | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1175174/full |
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