Homocysteine Combined with Apolipoprotein B as Serum Biomarkers for Predicting Carotid Atherosclerosis in the Oldest-Old.
apolipoprotein B
biomarker
carotid atherosclerosis
carotid intima-media thickness
homocysteine
Journal
Clinical interventions in aging
ISSN: 1178-1998
Titre abrégé: Clin Interv Aging
Pays: New Zealand
ID NLM: 101273480
Informations de publication
Date de publication:
2023
2023
Historique:
received:
04
07
2023
accepted:
07
11
2023
medline:
4
12
2023
pubmed:
30
11
2023
entrez:
30
11
2023
Statut:
epublish
Résumé
The measurement of serum biomarkers is a promising decision aid in the assessment of atherosclerosis. However, data on the levels and epidemiological distribution of serum biomarkers of carotid atherosclerosis (CAS) in the oldest-old are limited. This study aimed to investigate the characteristics of CAS serum biomarkers in the oldest-old over 80 and explore their predictive value for CAS. As part of the China Hainan Centenarian Cohort Study, a total of 1565 individuals over 80 years old were included. Atherosclerosis was assessed by carotid plaque and carotid intima-media thickness. Serum biomarker levels, demographic indicators, and physical examination indicators were detected. Prediction factors correlated to the CAS were explored by logistic regression and verified by receiver operating characteristic curve analysis. Multivariate regression models were fitted, along with subgroup analysis and robustness tests. Among the oldest-old population, 83.5% (1306) had CAS. In a fully adjusted multivariate logistic regression model, systolic blood pressure (SBP), heart rhythm (HR), serum homocysteine (Hcy), and apolipoprotein B (ApoB) levels were significantly and positively associated with CAS in the oldest-old (P SBP, HR, Hcy and ApoB are independent risk factors for CAS in the oldest-old. The specific set of biomarkers and their combination with other risk markers may be a promising strategy for assessing CAS in the elderly, especially in global aging.
Sections du résumé
Background
UNASSIGNED
The measurement of serum biomarkers is a promising decision aid in the assessment of atherosclerosis. However, data on the levels and epidemiological distribution of serum biomarkers of carotid atherosclerosis (CAS) in the oldest-old are limited. This study aimed to investigate the characteristics of CAS serum biomarkers in the oldest-old over 80 and explore their predictive value for CAS.
Methods
UNASSIGNED
As part of the China Hainan Centenarian Cohort Study, a total of 1565 individuals over 80 years old were included. Atherosclerosis was assessed by carotid plaque and carotid intima-media thickness. Serum biomarker levels, demographic indicators, and physical examination indicators were detected. Prediction factors correlated to the CAS were explored by logistic regression and verified by receiver operating characteristic curve analysis. Multivariate regression models were fitted, along with subgroup analysis and robustness tests.
Results
UNASSIGNED
Among the oldest-old population, 83.5% (1306) had CAS. In a fully adjusted multivariate logistic regression model, systolic blood pressure (SBP), heart rhythm (HR), serum homocysteine (Hcy), and apolipoprotein B (ApoB) levels were significantly and positively associated with CAS in the oldest-old (P
Conclusion
UNASSIGNED
SBP, HR, Hcy and ApoB are independent risk factors for CAS in the oldest-old. The specific set of biomarkers and their combination with other risk markers may be a promising strategy for assessing CAS in the elderly, especially in global aging.
Identifiants
pubmed: 38033754
doi: 10.2147/CIA.S428776
pii: 428776
pmc: PMC10683658
doi:
Substances chimiques
Biomarkers
0
Apolipoproteins B
0
Homocysteine
0LVT1QZ0BA
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1961-1972Informations de copyright
© 2023 Liu et al.
Déclaration de conflit d'intérêts
The authors have nothing to disclose with regard to commercial support. The authors have no conflicts of interest relevant to this article to disclose.
Références
Stroke. 2013 Feb;44(2):457-61
pubmed: 23287787
Stroke. 2002 Sep;33(9):2177-81
pubmed: 12215583
Eur J Vasc Endovasc Surg. 2008 Nov;36(5):507-16
pubmed: 18625571
Circ Res. 2022 Jul 8;131(2):e22-e33
pubmed: 35713008
Medicine (Baltimore). 2020 Mar;99(12):e19467
pubmed: 32195946
Stroke. 2011 Mar;42(3):734-9
pubmed: 21233473
Lancet Neurol. 2021 Mar;20(3):193-202
pubmed: 33609477
Mediators Inflamm. 2015;2015:718329
pubmed: 25960621
Circulation. 1999 May 11;99(18):2383-8
pubmed: 10318658
Clin J Am Soc Nephrol. 2010 Jun;5(6):1003-9
pubmed: 20299365
Environ Res. 2020 Dec;191:110229
pubmed: 32950513
Nat Rev Dis Primers. 2019 Aug 16;5(1):56
pubmed: 31420554
Lancet Neurol. 2022 Mar;21(3):273-283
pubmed: 35182512
EPMA J. 2021 Nov 11;12(4):477-505
pubmed: 34786033
Arterioscler Thromb Vasc Biol. 2021 Apr;41(4):e224-e237
pubmed: 33626907
Front Cardiovasc Med. 2022 Mar 30;9:858066
pubmed: 35433864
Cerebrovasc Dis. 2012;34(4):290-6
pubmed: 23128470
JAMA Cardiol. 2021 Jan 1;6(1):79-86
pubmed: 33206125
Am J Cardiol. 2016 Apr 1;117(7):1185-91
pubmed: 26869392
Atherosclerosis. 2013 Jan;226(1):245-51
pubmed: 23159013
JACC Cardiovasc Imaging. 2013 Oct;6(10):1087-1094
pubmed: 24135322
J Clin Lipidol. 2017 Sep - Oct;11(5):1181-1191.e1
pubmed: 28826575
J Stroke Cerebrovasc Dis. 2017 Feb;26(2):252-259
pubmed: 27742537
Eur Heart J. 2016 Aug 1;37(29):2315-2381
pubmed: 27222591
Stroke. 2020 Dec;51(12):3770-3777
pubmed: 33121384
Stroke. 2013 Nov;44(11):3071-7
pubmed: 23988640
Lancet Glob Health. 2020 May;8(5):e721-e729
pubmed: 32353319
Circ Cardiovasc Imaging. 2009 Mar;2(2):107-15
pubmed: 19808576
J Am Coll Cardiol. 2008 Jul 22;52(4):293-9
pubmed: 18634985
Stroke. 2004 Jul;35(7):1619-24
pubmed: 15155967
Atherosclerosis. 2000 Aug;151(2):519-24
pubmed: 10924729
Int J Epidemiol. 2018 Jun 1;47(3):694-695h
pubmed: 29506028
Circulation. 2007 Jan 30;115(4):459-67
pubmed: 17242284
J Vasc Surg. 2020 Jan;71(1):329-341
pubmed: 31327598
Int J Stroke. 2011 Aug;6(4):337-45
pubmed: 21745345
Biol Pharm Bull. 2016;39(1):1-24
pubmed: 26725424
Nutrition. 2018 Sep;53:115-119
pubmed: 29778949
Int J Epidemiol. 2009 Feb;38(1):217-31
pubmed: 18930961
J Am Coll Cardiol. 2021 Mar 23;77(11):1426-1435
pubmed: 33736825
Am J Prev Cardiol. 2021 May 04;7:100190
pubmed: 34611635
Atherosclerosis. 2016 Nov;254:200-204
pubmed: 27760401
Eur J Vasc Endovasc Surg. 2022 Apr;63(4):641-647
pubmed: 35260283
Eur Heart J. 2019 Sep 7;40(34):2883-2896
pubmed: 31102408
Circ Cardiovasc Qual Outcomes. 2011 May;4(3):337-45
pubmed: 21487090
Cardiovasc Hematol Agents Med Chem. 2022;20(1):13-19
pubmed: 34468303
Nat Rev Cardiol. 2015 Sep;12(9):508-30
pubmed: 26076950
Am J Epidemiol. 2000 Mar 1;151(5):478-87
pubmed: 10707916
Curr Med Chem. 2014;21(32):3662-72
pubmed: 25005183
Atherosclerosis. 2010 Nov;213(1):21-9
pubmed: 20627248
Stroke Vasc Neurol. 2016 Dec 19;1(4):154-160
pubmed: 28959478
Compr Physiol. 2015 Dec 15;6(1):471-505
pubmed: 26756640