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A framework of biomarkers for vascular aging: a consensus statement by the Aging Biomarker Consortium
Open accessAbstract
Aging of the vasculature, which is integral to the functioning of literally all human organs, serves as a fundamental physiological basis for age-related alterations as well as a shared etiological mechanism for various chronic diseases prevalent in the elderly population. China, home to the world’s largest aging population, faces an escalating challenge in addressing the prevention and management of these age-related conditions. To meet this challenge, the Aging Biomarker Consortium of China has developed an expert consensus on biomarkers of vascular aging (VA) by synthesizing literature and insights from scientists and clinicians. This consensus provides a comprehensive assessment of biomarkers associated with VA and presents a systemic framework to classify them into three dimensions: functional, structural, and humoral. Within each dimension, the expert panel recommends the most clinically relevant VA biomarkers. For the functional domain, biomarkers reflecting vascular stiffness and endothelial function are highlighted. The structural dimension encompasses metrics for vascular structure, microvascular structure, and distribution. Additionally, proinflammatory factors are emphasized as biomarkers with the humoral dimension. The aim of this expert consensus is to establish a foundation for assessing the extent of VA and conducting research related to VA, with the ultimate goal of improving the vascular health of the elderly in China and globally.
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Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075
Expert consensus document on arterial stiffness: methodological issues and clinical applications
Laurent, S., Cockcroft, J., Van Bortel, L., Boutouyrie, P., Giannattasio, C., Hayoz, D., Pannier, B., Vlachopoulos, C., Wilkinson, I., Struijker-Boudier, H., et al. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl254 · Cited by 6,077
Non-invasive detection of endothelial dysfunction in children and adults at risk of atherosclerosis
Celermajer, D. S., Sorensen, K. E., Gooch, V. M., Spiegelhalter, D. J., Miller, O. I., Sullivan, I. D., Lloyd, J. K., & Deanfield, J. E. (1992) · The Lancet · doi:10.1016/0140-6736(92)93147-f · Cited by 4,742
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.016 · Cited by 4,270
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Vlachopoulos, C., Aznaouridis, K., & Stefanadis, C. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.10.061 · Cited by 4,165
Laurent, S., Boutouyrie, P., Asmar, R., Gautier, I., Laloux, B., Guize, L., Ducimetiere, P., & Benetos, A. (2001) · Hypertension · doi:10.1161/01.hyp.37.5.1236 · Cited by 3,856
An epigenetic biomarker of aging for lifespan and healthspan
Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., et al. (2018) · Aging · doi:10.18632/aging.101414 · Cited by 3,675
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Miao, R., Dong, Q., Liu, X., Chen, Y., Wang, J., & Chen, J. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1365479 · Cited by 4
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Zou, P., Li, J., Chen, L., Liu, M., Nie, H., Yan, J., Zhang, L., Gao, H., Zhang, C., & Zhang, Y. (2025) · Aging Medicine · doi:10.1002/agm2.70005 · Cited by 3
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Chen, Q., Xiong, Q., Liu, L., & Xu, L. (2025) · PLoS ONE · doi:10.1371/journal.pone.0329211 · Cited by 2
Zeng, L., Lu, X., Huang, Y., Tu, Q., He, Y., Fang, Z., Nie, S., Huang, Y., Yu, M., Min, X., et al. (2025) · Neurosurgical Review · doi:10.1007/s10143-025-03489-y · Cited by 2
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Metadata
- Authors
- Aging Biomarker Consortium, Zhang, L., Guo, J., Liu, Y., Sun, S., Liu, B., Yang, Q., Tao, J., Tian, X.-L., Pu, J., Hong, H., Wang, M., Chen, H.-Z., Ren, J., Wang, X., Liang, Z., Wang, Y., Huang, K., Zhang, W., Qu, J., Ju, Z., Liu, G.-H., Pei, G., Li, J., & Zhang, C.
- Affiliations
- Tongji Hospital (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Capital Medical University (CN)
- Jena University Hospital (DE)
- Shenzhen University (CN)
- Sun Yat-sen University (CN)
- Nanchang University (CN)
- Shanghai Jiao Tong University (CN)
- Fujian Medical University (CN)
- Chinese Academy of Sciences (CN)
- Xijing Hospital (CN)
- ShenZhen People’s Hospital (CN)
- Wuhan Union Hospital (CN)
- Jinan University (CN)
- Tongji University (CN)
- Corresponding author
- Liu, Baohua
- Yang, Qi
- Tao, Jun
- Tian, Xiao-Li
- Pu, Jun
- Hong, Huashan
- Wang, Miao
- Chen, Hou-Zao
- Ren, Jie
- Wang, Xiaoming
- Liang, Zhen
- Wang, Yuan
- Huang, Kai
- Zhang, Weiqi
- Qu, Jing
- Ju, Zhenyu
- Liu, Guang-Hui
- Pei, Gang
- Li, Jian
- Zhang, Cuntai
- ORCID
- Venue
- Life Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-08-01
- Volume
- 2
- Issue
- 4
- Pages
- lnad033-lnad033
- ISSN
- 2755-1733 (ISSN-L)
- PMC
- PMC11879419
- OpenAlex
- W4386274160
- Cited by
- 60
- References
- 221
- Citations by year
- 2026: 15 · 2025: 24 · 2024: 17 · 2023: 4
- FWCI
- 11.79
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Life Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Key Research and Development Program of China (2020YFC2008000, 2022YFA1103700)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Medicine › Physiology (medical) › Nitric Oxide and Endothelin Effects
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Keywords
- vascular aging, biomarkers, vascular stiffness, endothelial function, microvascular structure, pro-inflammatory factors, age-related chronic diseases
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