Suppr超能文献

细胞外基质重塑生物标志物与心血管事件和死亡率的关系。

Relations of biomarkers of extracellular matrix remodeling to incident cardiovascular events and mortality.

机构信息

Framingham Heart Study, 73 Mount Wayte Ave, Framingham, MA 01702-58, USA.

出版信息

Arterioscler Thromb Vasc Biol. 2010 Nov;30(11):2283-8. doi: 10.1161/ATVBAHA.110.208462. Epub 2010 Aug 26.

Abstract

OBJECTIVE

To evaluate if biomarkers reflecting left ventricular/vascular extracellular matrix remodeling are associated with cardiovascular disease (CVD) and death in the community.

METHODS AND RESULTS

In 922 Framingham Study participants (mean age, 58 years; 56% women), we related circulating concentrations of matrix metalloproteinase-9 (binary variable: detectable versus undetectable), log of tissue inhibitor of matrix metalloproteinase-1, and log of procollagen type III aminoterminal peptide (PIIINP) to incident CVD and death. On follow-up (mean, 9.9 years), 51 deaths and 81 CVD events occurred. Each SD increment of log of tissue inhibitor of matrix metalloproteinase-1 and log-PIIINP was associated with multivariable-adjusted hazards ratios of 1.72 (95% CI, 1.30 to 2.27) and 1.47 (95% CI, 1.11 to 1.96), respectively, for mortality risk. Log-PIIINP concentrations were also associated with CVD risk (hazard ratio [95% CI] per SD, 1.35 [1.05 to 1.74]). Death and CVD incidence rates were 2-fold higher in participants with both biomarkers higher than the median (corresponding hazard ratio [95% CI], 2.78 [1.43 to 5.40] and 1.77 [1.04 to 3.03], respectively) compared with those with either or both less than the median. The inclusion of both biomarkers improved the C-statistic (for predicting mortality) from 0.78 to 0.82 (P=0.03). Matrix metalloproteinase-9 was unrelated to either outcome.

CONCLUSIONS

Higher circulating tissue inhibitor of matrix metalloproteinase-1 and PIIINP concentrations are associated with mortality, and higher PIIINP is associated with incident CVD, in the community.

摘要

目的

评估反映左心室/血管细胞外基质重塑的生物标志物是否与社区中的心血管疾病(CVD)和死亡相关。

方法和结果

在 922 名弗雷明汉研究参与者(平均年龄 58 岁,56%为女性)中,我们将循环中的基质金属蛋白酶-9 浓度(二分变量:可检测与不可检测)、组织抑制剂基质金属蛋白酶-1 的对数和前胶原 III 氨基末端肽(PIIINP)的对数与新发 CVD 和死亡相关联。在随访期间(平均 9.9 年),发生了 51 例死亡和 81 例 CVD 事件。组织抑制剂基质金属蛋白酶-1 的对数和 PIIINP 的每标准差增量与多变量校正后的死亡风险比分别为 1.72(95%CI,1.30 至 2.27)和 1.47(95%CI,1.11 至 1.96)。PIIINP 浓度也与 CVD 风险相关(每 SD 的风险比[95%CI],1.35[1.05 至 1.74])。与中位数以下的参与者相比,两种生物标志物均高于中位数的参与者的死亡和 CVD 发生率增加了两倍(相应的风险比[95%CI],2.78[1.43 至 5.40]和 1.77[1.04 至 3.03])。包含两种生物标志物可将预测死亡率的 C 统计量(从 0.78 提高至 0.82(P=0.03)。基质金属蛋白酶-9 与两种结果均无关。

结论

在社区中,更高的循环组织抑制剂基质金属蛋白酶-1 和 PIIINP 浓度与死亡率相关,而更高的 PIIINP 与新发 CVD 相关。

相似文献

1
Relations of biomarkers of extracellular matrix remodeling to incident cardiovascular events and mortality.
Arterioscler Thromb Vasc Biol. 2010 Nov;30(11):2283-8. doi: 10.1161/ATVBAHA.110.208462. Epub 2010 Aug 26.
2
Association of carotid artery atherosclerosis with circulating biomarkers of extracellular matrix remodeling: the Framingham Offspring Study.
J Stroke Cerebrovasc Dis. 2008 Nov-Dec;17(6):412-7. doi: 10.1016/j.jstrokecerebrovasdis.2008.06.002.
4
Prognostic value of serum PIIINP, MMP1 and TIMP1 levels in hypertensive patients: a community-based prospective cohort study.
Fundam Clin Pharmacol. 2013 Oct;27(5):572-80. doi: 10.1111/j.1472-8206.2012.01053.x. Epub 2012 Jul 13.
6
Relationship of circulating matrix biomarkers to myocardial matrix metabolism in advanced heart failure.
Eur J Heart Fail. 2013 Mar;15(3):292-8. doi: 10.1093/eurjhf/hfs179. Epub 2012 Nov 9.
8
Fibrosis-related biomarkers and incident cardiovascular disease in older adults: the cardiovascular health study.
Circ Arrhythm Electrophysiol. 2014 Aug;7(4):583-9. doi: 10.1161/CIRCEP.114.001610. Epub 2014 Jun 24.
9
Circulating biomarkers of extracellular matrix remodeling and risk of atherosclerotic events.
Curr Opin Lipidol. 2006 Feb;17(1):45-53. doi: 10.1097/01.mol.0000203891.34890.b5.

引用本文的文献

1
Extracellular matrix in vascular homeostasis and disease.
Nat Rev Cardiol. 2025 May;22(5):333-353. doi: 10.1038/s41569-024-01103-0. Epub 2025 Jan 2.
4
TIMP-1 in the prognosis of patients who underwent coronary artery bypass surgery: a 12-year follow-up study.
Front Cardiovasc Med. 2023 Dec 14;10:1226449. doi: 10.3389/fcvm.2023.1226449. eCollection 2023.
5
Multi-modality cardiac imaging in the management of diabetic heart disease.
Front Cardiovasc Med. 2022 Nov 3;9:1043711. doi: 10.3389/fcvm.2022.1043711. eCollection 2022.
6
Extracellular Matrix Remodeling Biomarkers in Coronary Artery Disease.
Curr Top Med Chem. 2022;22(28):2355-2367. doi: 10.2174/1568026623666221024091758.
7
Cardiovascular biomarkers in body fluids: progress and prospects in optical sensors.
Biophys Rev. 2022 Aug 18;14(4):1023-1050. doi: 10.1007/s12551-022-00990-2. eCollection 2022 Aug.
10
Reverse Cardiac Remodeling and ARNI Therapy.
Curr Heart Fail Rep. 2021 Apr;18(2):71-83. doi: 10.1007/s11897-021-00501-6. Epub 2021 Jan 22.

本文引用的文献

1
Extracellular matrix remodeling during the progression of volume overload-induced heart failure.
J Mol Cell Cardiol. 2010 Mar;48(3):564-9. doi: 10.1016/j.yjmcc.2009.06.001. Epub 2009 Jun 11.
3
Relations of serum MMP-9 and TIMP-1 levels to left ventricular measures and cardiovascular risk factors: a population-based study.
Eur J Cardiovasc Prev Rehabil. 2009 Jun;16(3):297-303. doi: 10.1097/HJR.0b013e3283213108.
5
Relations of matrix remodeling biomarkers to blood pressure progression and incidence of hypertension in the community.
Circulation. 2009 Mar 3;119(8):1101-7. doi: 10.1161/CIRCULATIONAHA.108.821769. Epub 2009 Feb 16.
7
Association of matrix metalloproteinases with MRI indices of brain ischemia and aging.
Neurobiol Aging. 2010 Dec;31(12):2128-35. doi: 10.1016/j.neurobiolaging.2008.11.004. Epub 2009 Jan 6.
8
Association of carotid artery atherosclerosis with circulating biomarkers of extracellular matrix remodeling: the Framingham Offspring Study.
J Stroke Cerebrovasc Dis. 2008 Nov-Dec;17(6):412-7. doi: 10.1016/j.jstrokecerebrovasdis.2008.06.002.
9
Extracellular matrix turnover and inflammatory markers independently predict functional status and outcome in chronic heart failure.
J Card Fail. 2008 Aug;14(6):467-74. doi: 10.1016/j.cardfail.2008.02.014. Epub 2008 May 27.
10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验