The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Developmental and Early Life Origins of Cardiometabolic Risk Factors: Novel Findings and Implications
Open accessAbstract
The intent of this review is to critically consider the data that support the concept of programming and its implications. Birth weight and growth trajectories during childhood are associated with cardiometabolic disease in adult life. Both extremes, low and high birth weight coupled with postnatal growth increase the early presence of cardiometabolic risk factors and vascular imprinting, crucial elements of this framework. Data coming from epigenetics, proteomics, metabolomics, and microbiota added relevant information and contribute to better understanding of mechanisms as well as development of biomarkers helping to move forward to take actions. Research has reached a stage in which sufficiently robust data calls for new initiatives focused on early life. Prevention starting early in life is likely to have a very large impact on reducing disease incidence and its associated effects at the personal, economic, and social levels.
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“Obesity, affected by both low and high birth weights, is a significant contributor to insulin resistance, dyslipidemia, and hyperinsulinemia, all of which are elements of metabolic syndrome.”
In the citing paper
“These factors substantially increase the risk of cardiovascular illnesses and lead to systemic metabolic disturbances [92].”
Citations
Cites
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,379
Effect of In Utero and Early-Life Conditions on Adult Health and Disease
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WEIGHT IN INFANCY AND DEATH FROM ISCHAEMIC HEART DISEASE
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Trajectories of growth among children who have coronary events as adults
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Self-citationGene Body Methylation Can Alter Gene Expression and Is a Therapeutic Target in Cancer
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Influence of Maternal Obesity on the Long-Term Health of Offspring
Godfrey, K. M., Reynolds, R. M., Prescott, S. L., Nyirenda, M., Jaddoe, V. W. V., Eriksson, J. G., & Broekman, B. F. P. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30107-3 · Cited by 1,059
Human metabolic phenotype diversity and its association with diet and blood pressure
Holmes, E., Loo, R. L., Stamler, J., Bictash, M., Yap, I. K. S., Chan, Q., Ebbels, T., De Iorio, M., Brown, I. J., Veselkov, K. A., et al. (2008) · Nature · doi:10.1038/nature06882 · Cited by 1,054
Birth Weight and Risk of Type 2 Diabetes
Whincup, P. H., Kaye, S. J., Owen, C. G., Huxley, R., Cook, D. G., Anazawa, S., Barrett-Connor, E. L., Bhargava, S. K., Birgisdóttir, B. E., Carlsson, S., et al. (2008) · JAMA · doi:10.1001/jama.2008.886 · Cited by 949
Cited by
Sorted by citations
Items 101–109 of 109
Chang, Y.-S., Yu, T., Wong, T., & Li, C. (2026) · PLoS ONE · doi:10.1371/journal.pone.0348091
Yun, H. R., Singh, M. K., Han, S., Ranbhise, J. S., Kim, S. S., & Kang, I. (2026) · Nutrients · doi:10.3390/nu18121945 · Cited by 1
Height variation independent of known genetic variants and health in later life: a cohort study
Zhang, Y., Li, Y., Xue, X., Wang, T., Moon, J., Isasi, C. R., Yu, B., Rohan, T. E., Kaplan, R. C., & Qi, Q. (2026) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2026.101425
Bengtson, A. M., Pellowski, J. A., Botha, M., Burd, T., Workman, L., Goddard, E., Stein, D. J., Burgner David, P., Mansell, T., & Zar, H. J. (2026) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(26)00121-5
Weng, H.-Y., Li, Z.-H., Wang, C.-Y., Zhao, X.-Y., Zhu, M.-N., He, R., Pu, S.-L., Lu, X.-J., Kan, Y.-L., Huang, K., et al. (2026) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2026.120632
Roenker, B., DuBose, K. D., Moore, E. W. G., Broskey, N. T., Whiteside, J. L., & May, L. E. (2026) · Advanced Exercise and Health Science · doi:10.1016/j.aehs.2026.09.001
Childhood Diet, Gut Microbiota and Early Cardiovascular Risk: A Narrative Review
Mazur, M. J., Malik, A., & Popiołek-Kalisz, J. (2026) · SN Comprehensive Clinical Medicine · doi:10.1007/s42399-026-02746-5
Social Determinants of Hypertension: A Focus on Low- and Middle-Income Countries
Haddiya, I., Korbel, Z., Ramdani, S., & Haddiya, E. (2026) · Social medicine · doi:10.71164/socialmedicine.v19i3.2026.1967
Impact of Hypertension in Pregnancy on the Offspring
Lurbe, E., Sastre, J. M., & Aguilar, F. (2026) · Updates in hypertension and cardiovascular protection · doi:10.1007/978-3-032-32879-3_19
Self-citation
Metadata
- Authors
- Lurbe, E., & Ingelfinger, J.
- Affiliations
- Universitat de València (ES)
- Harvard University (US)
- Venue
- Hypertension
- Published
- 2021-02
- Volume
- 77
- Issue
- 2
- Pages
- 308-318
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W3120874154
- Cited by
- 106
- References
- 90
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 19 · 2023: 26 · 2022: 13 · 2021: 4
- FWCI
- 4.00
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc
- Locations
- Hypertension (publishedVersion)
- PubMed (publishedVersion)
- Repository of Digital Objects for Teaching Research and Culture (University of Valencia) (submittedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Keywords
- developmental origins of health and disease, cardiometabolic risk factors, birth weight, epigenetics, microbiota, metabolomics, proteomics, biomarkers
- MeSH terms
- Adverse Childhood Experiences, Adolescent, Adult, Aging, Birth Weight, Cardiovascular Diseases, Cardiovascular System, Child, Child, Preschool, Female, Forecasting, Gestational Age, Humans, Infant, Infant, Low Birth Weight, Infant, Newborn, Infant, Premature, Male, Metabolic Diseases, Middle Aged, Pregnancy, Prenatal Exposure Delayed Effects, Risk Factors, Proteomics, Epigenesis, Genetic, Metabolomics, Precision Medicine, Epigenomics, Microbiota
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