Vascular density with optical coherence tomography angiography and systemic biomarkers in low and high cardiovascular risk patients.
Acute Coronary Syndrome
/ blood
Aged
Angiography
/ methods
Angiopoietin-2
/ blood
Biomarkers
/ blood
Female
Growth Differentiation Factor 15
/ blood
Humans
Interleukin-1 Receptor-Like 1 Protein
/ blood
Macula Lutea
/ blood supply
Male
Middle Aged
Osteoprotegerin
/ blood
Retinal Vessels
/ diagnostic imaging
Risk Factors
Tomography, Optical Coherence
/ methods
Transforming Growth Factor beta1
/ blood
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
07 10 2020
07 10 2020
Historique:
received:
24
04
2020
accepted:
03
09
2020
entrez:
8
10
2020
pubmed:
9
10
2020
medline:
15
12
2020
Statut:
epublish
Résumé
We aimed to compare retinal vascular density in Optical Coherence Tomography Angiography (OCT-A) between patients hospitalized for acute coronary syndrome (ACS) and control patients and to investigate correlation with angiogenesis biomarkers. Patients hospitalized for an acute coronary syndrome (ACS) in the Intensive Care Unit were included in the "high cardiovascular risk" group while patients without cardiovascular risk presenting in the Ophthalmology department were included as "control". Both groups had blood sampling and OCT-A imaging. Retina microvascularization density in the superficial capillary plexus was measured on 3 × 3 mm angiograms centered on the macula. Angiopoietin-2, TGF-β1, osteoprotegerin, GDF-15 and ST-2 were explored with ELISA or multiplex method. Overall, 62 eyes of ACS patients and 42 eyes of controls were included. ACS patients had significantly lower inner vessel length density than control patients (p = 0.004). A ROC curve found that an inner vessel length density threshold below 20.05 mm
Identifiants
pubmed: 33028913
doi: 10.1038/s41598-020-73861-z
pii: 10.1038/s41598-020-73861-z
pmc: PMC7542456
doi:
Substances chimiques
Angiopoietin-2
0
Biomarkers
0
Growth Differentiation Factor 15
0
IL1RL1 protein, human
0
Interleukin-1 Receptor-Like 1 Protein
0
Osteoprotegerin
0
TGFB1 protein, human
0
Transforming Growth Factor beta1
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
16718Références
Silverio, A., Cavallo, P., De Rosa, R. & Galasso, G. Big health data and cardiovascular diseases: a challenge for research, an opportunity for clinical care. Front. Med. 6, 36. https://doi.org/10.3389/fmed.2019.00036 (2019).
doi: 10.3389/fmed.2019.00036
Zeller, M. et al. Air pollution and cardiovascular and cerebrovascular disease: epidemiologic data. Presse Med. 35, 1517–1522. https://doi.org/10.1016/s0755-4982(06)74844-8 (2006).
doi: 10.1016/s0755-4982(06)74844-8
pubmed: 17028515
Bansilal, S., Castellano, J. M. & Fuster, V. Global burden of CVD: focus on secondary prevention of cardiovascular disease. Int. J. Cardiol. 201(Suppl 1), S1-7. https://doi.org/10.1016/s0167-5273(15)31026-3 (2015).
doi: 10.1016/s0167-5273(15)31026-3
pubmed: 26747389
Sorop, O. et al. Multiple common comorbidities produce left ventricular diastolic dysfunction associated with coronary microvascular dysfunction, oxidative stress, and myocardial stiffening. Cardiovasc. Res. 114, 954–964. https://doi.org/10.1093/cvr/cvy038 (2018).
doi: 10.1093/cvr/cvy038
pubmed: 29432575
pmcid: 5967461
Trask, A. J. et al. Dynamic micro- and macrovascular remodeling in coronary circulation of obese Ossabaw pigs with metabolic syndrome. J. Appl. Physiol. 113, 1128–1140. https://doi.org/10.1152/japplphysiol.00604.2012 (2012).
doi: 10.1152/japplphysiol.00604.2012
pubmed: 22837170
pmcid: 3487495
Adjedj, J. et al. Coronary microcirculation in acute myocardial ischaemia: from non-invasive to invasive absolute flow assessment. Arch. Cardiovasc. Dis. 111, 306–315. https://doi.org/10.1016/j.acvd.2018.02.003 (2018).
doi: 10.1016/j.acvd.2018.02.003
pubmed: 29622520
Matsunaga, D., Yi, J., Puliafito, C. A. & Kashani, A. H. OCT angiography in healthy human subjects. Ophthalmic Surg. Lasers Imaging Retina 45, 510–515. https://doi.org/10.3928/23258160-20141118-04 (2014).
doi: 10.3928/23258160-20141118-04
pubmed: 25423629
Mimoun, L., Massin, P. & Steg, G. Retinal microvascularisation abnormalities and cardiovascular risk. Arch. Cardiovasc. Dis. 102, 449–456. https://doi.org/10.1016/j.acvd.2009.02.008 (2009).
doi: 10.1016/j.acvd.2009.02.008
pubmed: 19520331
Seidelmann, S. B. et al. Retinal vessel calibers in predicting long-term cardiovascular outcomes: the atherosclerosis risk in communities study. Circulation 134, 1328–1338. https://doi.org/10.1161/circulationaha.116.023425 (2016).
doi: 10.1161/circulationaha.116.023425
pubmed: 27682886
pmcid: 5219936
Nagele, M. P. et al. Retinal microvascular dysfunction in heart failure. Eur. Heart J. 39, 47–56. https://doi.org/10.1093/eurheartj/ehx565 (2018).
doi: 10.1093/eurheartj/ehx565
pubmed: 29069316
Poplin, R. et al. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat. Biomed. Eng. 2, 158–164. https://doi.org/10.1038/s41551-018-0195-0 (2018).
doi: 10.1038/s41551-018-0195-0
pubmed: 31015713
Arnould, L. et al. Association between the retinal vascular network with Singapore “I” Vessel Assessment (SIVA) software, cardiovascular history and risk factors in the elderly: The Montrachet study, population-based study. PLoS ONE 13, e0194694. https://doi.org/10.1371/journal.pone.0194694 (2018).
doi: 10.1371/journal.pone.0194694
pubmed: 29614075
pmcid: 5882094
Tapp, R. J. et al. Associations of retinal microvascular diameters and tortuosity with blood pressure and arterial stiffness: United Kingdom Biobank. Hypertension 74, 1383–1390. https://doi.org/10.1161/hypertensionaha.119.13752 (2019).
doi: 10.1161/hypertensionaha.119.13752
pubmed: 31661987
pmcid: 7069386
Spaide, R. F., Klancnik, J. M. Jr. & Cooney, M. J. Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography. JAMA Ophthalmol. 133, 45–50. https://doi.org/10.1001/jamaophthalmol.2014.3616 (2015).
doi: 10.1001/jamaophthalmol.2014.3616
pubmed: 25317632
pmcid: 25317632
Coscas, F. et al. Normative data for vascular density in superficial and deep capillary plexuses of healthy adults assessed by optical coherence tomography angiography. Investig. Ophthalmol. Vis. Sci. 57, 211–223. https://doi.org/10.1167/iovs.15-18793 (2016).
doi: 10.1167/iovs.15-18793
Arnould, L. et al. The EYE-MI pilot study: a prospective acute coronary syndrome cohort evaluated with retinal optical coherence tomography angiography. Invest. Ophthalmol. Vis. Sci. 59, 4299–4306. https://doi.org/10.1167/iovs.18-24090 (2018).
doi: 10.1167/iovs.18-24090
pubmed: 30372758
Curcio, C. A. & Kar, D. Commentary on Lavia et al.: progress of optical coherence tomography angiography for visualizing human retinal vasculature. Retina 39, 223–225. https://doi.org/10.1097/iae.0000000000002421 (2019).
doi: 10.1097/iae.0000000000002421
pubmed: 30562246
pmcid: 6504545
Cheung, N. et al. Retinal arteriolar narrowing and left ventricular remodeling: the multi-ethnic study of atherosclerosis. J. Am. Coll. Cardiol. 50, 48–55. https://doi.org/10.1016/j.jacc.2007.03.029 (2007).
doi: 10.1016/j.jacc.2007.03.029
pubmed: 17601545
pmcid: 4547559
Alan, G. et al. Retinal vascular density as a novel biomarker of acute renal injury after acute coronary syndrome. Sci. Rep. 9, 8060. https://doi.org/10.1038/s41598-019-44647-9 (2019).
doi: 10.1038/s41598-019-44647-9
pubmed: 31147610
pmcid: 6543041
Yu, J., Xiao, K., Huang, J., Sun, X. & Jiang, C. Reduced retinal vessel density in obstructive sleep apnea syndrome patients: an optical coherence tomography angiography study. Invest. Ophthalmol. Vis. Sci. 58, 3506–3512. https://doi.org/10.1167/iovs.17-21414 (2017).
doi: 10.1167/iovs.17-21414
pubmed: 28715584
Arnould, L. et al. Influence of cardiac hemodynamic variables on retinal vessel density measurement on optical coherence tomography angiography in patients with myocardial infarction. J. Fr. Ophtalmol. https://doi.org/10.1016/j.jfo.2019.07.026 (2020).
doi: 10.1016/j.jfo.2019.07.026
pubmed: 31973975
Wang, J. et al. Retinal and choroidal vascular changes in coronary heart disease: an optical coherence tomography angiography study. Biomed. Opt. Express 10, 1532–1544. https://doi.org/10.1364/boe.10.001532 (2019).
doi: 10.1364/boe.10.001532
pubmed: 31061756
pmcid: 6485014
Simonett, J. M. et al. Early microvascular retinal changes in optical coherence tomography angiography in patients with type 1 diabetes mellitus. Acta Ophthalmol. 95, e751–e755. https://doi.org/10.1111/aos.13404 (2017).
doi: 10.1111/aos.13404
pubmed: 28211261
Chui, T. Y., VanNasdale, D. A., Elsner, A. E. & Burns, S. A. The association between the foveal avascular zone and retinal thickness. Invest. Ophthalmol. Vis. Sci. 55, 6870–6877. https://doi.org/10.1167/iovs.14-15446 (2014).
doi: 10.1167/iovs.14-15446
pubmed: 25270194
pmcid: 4214206
Lynch, G. et al. Within-subject assessment of foveal avascular zone enlargement in different stages of diabetic retinopathy using en face OCT reflectance and OCT angiography. Biomed. Opt. Express 9, 5982–5996. https://doi.org/10.1364/boe.9.005982 (2018).
doi: 10.1364/boe.9.005982
pubmed: 31065407
pmcid: 6491024
Van Campenhout, A. & Golledge, J. Osteoprotegerin, vascular calcification and atherosclerosis. Atherosclerosis 204, 321–329. https://doi.org/10.1016/j.atherosclerosis.2008.09.033 (2009).
doi: 10.1016/j.atherosclerosis.2008.09.033
pubmed: 19007931
Abu El-Asrar, A. M. et al. Osteoprotegerin is a new regulator of inflammation and angiogenesis in proliferative diabetic retinopathy. Investig. Ophthalmol. Vis. Sci. 58, 3189–3201. https://doi.org/10.1167/iovs.16-20993 (2017).
doi: 10.1167/iovs.16-20993
Patel, J. V., Lim, H. S., Varughese, G. I., Hughes, E. A. & Lip, G. Y. Angiopoietin-2 levels as a biomarker of cardiovascular risk in patients with hypertension. Ann. Med. 40, 215–222. https://doi.org/10.1080/07853890701779586 (2008).
doi: 10.1080/07853890701779586
pubmed: 18382887
Rochette, L. et al. The role of osteoprotegerin and its ligands in vascular function. Int. J. Mol. Sci. https://doi.org/10.3390/ijms20030705 (2019).
doi: 10.3390/ijms20030705
pubmed: 31330871
pmcid: 6679312
Semb, A. G. et al. Osteoprotegerin and soluble receptor activator of nuclear factor-kappaB ligand and risk for coronary events: a nested case-control approach in the prospective EPIC-Norfolk population study 1993–2003. Arterioscler. Thromb. Vasc. Biol. 29, 975–980. https://doi.org/10.1161/atvbaha.109.184101 (2009).
doi: 10.1161/atvbaha.109.184101
pubmed: 19325145
Zhang, W. et al. The association of depressed angiogenic factors with reduced capillary density in the Rhesus monkey model of myocardial ischemia. Metallomics 8, 654–662. https://doi.org/10.1039/c5mt00332f (2016).
doi: 10.1039/c5mt00332f
pubmed: 26852735
Lee, S. J. et al. Angiopoietin-2 exacerbates cardiac hypoxia and inflammation after myocardial infarction. J. Clin. Investig. 128, 5018–5033. https://doi.org/10.1172/jci99659 (2018).
doi: 10.1172/jci99659
pubmed: 30295643
Lavia, C. et al. Vessel density of superficial, intermediate, and deep capillary plexuses using optical coherence tomography angiography. Retina 39, 247–258. https://doi.org/10.1097/iae.0000000000002413 (2019).
doi: 10.1097/iae.0000000000002413
pubmed: 30550527
Oshima, Y. et al. Different effects of angiopoietin-2 in different vascular beds: new vessels are most sensitive. FASEB J. 19, 963–965. https://doi.org/10.1096/fj.04-2209fje (2005).
doi: 10.1096/fj.04-2209fje
pubmed: 15802489
Sampson, D. M. et al. Axial length variation impacts on superficial retinal vessel density and foveal avascular zone area measurements using optical coherence tomography angiography. Invest. Ophthalmol. Vis. Sci. 58, 3065–3072. https://doi.org/10.1167/iovs.17-21551 (2017).
doi: 10.1167/iovs.17-21551
pubmed: 28622398
von Elm, E. et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. J. Clin. Epidemiol. 61, 344–349. https://doi.org/10.1016/j.jclinepi.2007.11.008 (2008).
doi: 10.1016/j.jclinepi.2007.11.008
Li, M. et al. Retinal microvascular network and microcirculation assessments in high myopia. Am. J. Ophthalmol. 174, 56–67. https://doi.org/10.1016/j.ajo.2016.10.018 (2017).
doi: 10.1016/j.ajo.2016.10.018
pubmed: 27818204
Zeller, M. et al. Prevalence and impact of metabolic syndrome on hospital outcomes in acute myocardial infarction. Arch. Intern. Med. 165, 1192–1198. https://doi.org/10.1001/archinte.165.10.1192 (2005).
doi: 10.1001/archinte.165.10.1192
pubmed: 15911735
Al-Sheikh, M., Tepelus, T. C., Nazikyan, T. & Sadda, S. R. Repeatability of automated vessel density measurements using optical coherence tomography angiography. Br. J. Ophthalmol. 101, 449–452. https://doi.org/10.1136/bjophthalmol-2016-308764 (2017).
doi: 10.1136/bjophthalmol-2016-308764
pubmed: 27450146
La Spina, C., Carnevali, A., Marchese, A., Querques, G. & Bandello, F. Reproducibility and reliability of optical coherence tomography angiography for foveal avascular zone evaluation and measurement in different settings. Retina 37, 1636–1641. https://doi.org/10.1097/iae.0000000000001426 (2017).
doi: 10.1097/iae.0000000000001426
pubmed: 28002271
Manalastas, P. I. C. et al. Reproducibility of optical coherence tomography angiography macular and optic nerve head vascular density in glaucoma and healthy eyes. J. Glaucoma 26, 851–859. https://doi.org/10.1097/ijg.0000000000000768 (2017).
doi: 10.1097/ijg.0000000000000768
pubmed: 28858159
pmcid: 5633505
Akwii, R. G., Sajib, M. S., Zahra, F. T. & Mikelis, C. M. Role of Angiopoietin-2 in vascular physiology and pathophysiology. Cells https://doi.org/10.3390/cells8050471 (2019).
doi: 10.3390/cells8050471
pubmed: 31108880
pmcid: 6562915
Santibanez, J. F., Quintanilla, M. & Bernabeu, C. TGF-beta/TGF-beta receptor system and its role in physiological and pathological conditions. Clin. Sci. 121, 233–251. https://doi.org/10.1042/cs20110086 (2011).
doi: 10.1042/cs20110086
pubmed: 21615335
Rochette, L. et al. The role of osteoprotegerin in the crosstalk between vessels and bone: Its potential utility as a marker of cardiometabolic diseases. Pharmacol. Ther. 182, 115–132. https://doi.org/10.1016/j.pharmthera.2017.08.015 (2018).
doi: 10.1016/j.pharmthera.2017.08.015
pubmed: 28867452
Hagstrom, E. et al. Growth Differentiation Factor 15 predicts all-cause morbidity and mortality in stable coronary heart disease. Clin. Chem. 63, 325–333. https://doi.org/10.1373/clinchem.2016.260570 (2017).
doi: 10.1373/clinchem.2016.260570
pubmed: 27811204
Dieplinger, B. & Mueller, T. Soluble ST2 in heart failure. Clin. Chim. Acta 443, 57–70. https://doi.org/10.1016/j.cca.2014.09.021 (2015).
doi: 10.1016/j.cca.2014.09.021
pubmed: 25269091