Abstract
Over the past two decades, population-based studies employing semiautomatic computer-assisted programs have uncovered associations between retinal microvascular features and various systemic conditions. As the recognition of retinal imaging in cardiometabolic health grows, there is increasing evidence supporting its application in women’s health, particularly during the reproductive age. This review aims to summarize the indications of retinal imaging in women’s health and intergenerational health, where suboptimal retinal imaging has been found to mirror pathological systemic changes, such as suboptimal hemodynamic circulation, inflammation, endothelial dysfunction, oxidative stress, and hypoxia in vivo. Findings from Singapore Growing Up in Singapore Towards Healthy Outcomes and Singapore Preconception Study of Long-Term Maternal and Child Outcomes cohorts have reported serial changes in retinal conventional microvascular features (e.g., retinal arteriolar narrowing, retinal venular widening) and retinal geometric microvascular features (e.g., sparse fractal dimension, enlarged branching angle, and increased curvature tortuosity) during the preconception and antenatal phases. These morphological abnormalities were found to be related to female fertility, maternal antenatal health conditions, postnatal maternal cardiometabolic health, and intergenerational health in the fetus. Given the compelling evidence of the ability to detect microvascular changes through noninvasive methods at an early stage, retinal imaging holds the potential to facilitate timely interventions, mitigate the progression of complications, and prevent adverse pregnancy outcomes. Looking ahead, the convergence of artificial intelligence and advanced imaging techniques heralds a promising era in women’s health research and clinical practice.
Keywords: Retinal vascular imaging, Reproductive health
Retinal vascular imaging and its clinical application in the general population
The retina, comprising ten layers of interconnected neurons and a vascular network of arterioles, venules, and capillaries lacks internal elastic lamina, making retinal vessels prompt and sensitive to systemic regulation and inflammation.1,2 Over the past two decades, population-based studies employing semiautomatic computer-assisted programs revealed associations between retinal microvascular features (arteriolar and venular caliber, tortuosity, branching angle, and fractal dimension) and various systemic conditions. Narrower arterioles predict incident hypertension1,3,4 and chronic kidney disease,5–8 while wider venules predict type 2 diabetes,9,10 stroke,11,12 and cardiovascular disease.13,14 Novel geometric features like curvature tortuosity, branching angle, and fractal dimension reflect vascular health,15,16 inflammation,17 and systemic disease,18–20 including arterial stiffness.21
With the increasing recognition of retinal imaging in the realm of cardiometabolic health, there is a growing body of evidence supporting its application in women’s health, particularly during the reproductive age. Understanding the roots of systemic diseases in adulthood often leads back to preclinical vascular and metabolic disorders in early life,22,23 involving both mothers and fetuses. This review seeks to introduce the utilization of retinal imaging in the context of women’s reproductive health, with a specific focus on the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) and Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S-PRESTO) cohorts, both conducted in Singapore (Figure 1).
Figure 1.

Retinal vascular imaging application in women’s reproductive health.
Retinal imaging and its application in women’s reproductive health
Women’s fertility
Derived from the S-PRESTO preconception cohort, a longitudinal study on prepregnancy influences in multiethnic Asian women planning spontaneous conception within the next 12 months, the study team investigated the relationship between retinal microvasculature and various fertility outcomes.24 Women with longer time-to-pregnancy exhibited a sparser arteriolar fractal dimension and wider venular branching angle during the pregravid phase.25 In ensuing pregnancies, individuals with higher preconception and greater arteriolar and venular curvature tortuosity encountered a 25–34% increased risk of spontaneous abortion before 20 weeks’ gestation.26 The underlying pathophysiology, characterized by vascular inflammation,27,28 hypoxia,15,16 oxidative stress,29 endothelial dysfunction,30–32 and impaired uterine perfusion,33,34 contributes to both reduced fecundability and spontaneous abortion, in addition to common risk factors like advanced maternal age,35,36 stress,37 cigarette smoking,38 medication or substance use,39,40 medical conditions,41–43 and environmental pollution.44
Women’s antenatal health
The GUSTO study, initiated with the aim of delving into the repercussions of pregnancy conditions on antenatal maternal health, meticulously selected women with singleton pregnancies during their initial trimester, spanning since June 2000.45 These outcomes encompassed high-fat diet patterns,46 maternal obesity,47 elevated gestational blood pressure,48 psychosocial disorders,49 and the development of gestational diabetes mellitus (GDM).50
Exploring the intricate domain of retinal morphological changes revealed a consistent pattern during the 26–28 weeks of gestation. Noteworthy alterations in retinal characteristics, namely, venular widening,46,47 increased venular branching angle,50 and greater venular curvature tortuosity,47 were identified. These alterations were distinctly linked to maternal nutritional and metabolic conditions, illustrating the profound interplay between retinal microvasculature and the underlying metabolism during pregnancy. Interestingly, anomalies in retinal arterioles—characterized by narrowing47,48,50 or widening of caliber,49 sparser fractal dimensions,48,50 and reduced branching angles48—were identified in correlation with circulatory and psychological disorders experienced by pregnant women.
These observed microvascular morphological changes in retinal characteristics alluded to potential systemic microcirculation pathology in pregnant women grappling with suboptimal hemodynamic circulation,51 inflammation,52 and endothelial dysfunction53 in vivo. However, it is essential to acknowledge the inherent limitations of drawing definitive conclusions from these findings due to the cross-sectional nature of the study. While providing valuable insights, further longitudinal investigations are imperative to comprehensively understand the dynamics of these associations over the course of pregnancy and beyond.
Women’s postpartum cardiometabolic health
Therefore, in the GUSTO postpartum follow-up study, the team selected 142 mothers diagnosed with GDM during index pregnancy and 136 cohort-nested controls matched by age, ethnicity, and body mass index, extending its investigation to assess the long-term implications on maternal health 5 years after delivery. The study involved retinal photography conducted during the 26–28 weeks gestation period,45 with subsequent metabolic outcomes evaluated at the 5-year postpartum follow-up.54 This in-depth analysis aimed to establish a potential correlation between abnormal antenatal retinal microvasculature and adverse postpartum cardiometabolic health.
Notably, antenatal retinal venular widening emerged as a significant factor, showing a direct association with a 60% increased risk of maternal metabolic syndrome54 and a 20% increased risk of abnormal glucose metabolism (i.e., prediabetes and type 2 diabetes),55 at the 5-year mark among women with GDM. This finding illuminated the possibility that changes in microvascular structure during pregnancy could mirror subclinical alterations that contribute to the postpartum development of cardiometabolic disorders. Furthermore, both studies emphasized the significance of incorporating retinal microvascular assessments during pregnancy as valuable indicators for identifying individuals at risk of adverse postpartum cardiometabolic health. This approach facilitates timely intervention and preventive measures.
Intergenerational impact on placental circulation, fetal growth, and neonatal anthropometry
In 1986, Emanuel defined intergenerational influences as “those factors, conditions, exposures, and environments experienced by one generation that relate to the health, growth, and development of the next generation.”56 Among various hypotheses, one posits that adverse in-utero experiences may modify maternal metabolism, creating an unfavorable environment for the fetus.57 Utilizing the S-PRESTO cohort, the team investigated the potential mechanisms underlying the connection between pre-conception conditions and subsequent fetal health.
As elucidated in earlier hypotheses, numerous pregnancy conditions are intricately linked to suboptimal uterine-fetoplacental circulation.58,59 Recognizing the significance of this crucial yet previously overlooked link, the investigation into the relationship between preconception maternal retinal vasculature and utero-fetoplacental circulation assumed paramount importance, being rigorously examined within the SPRESTO cohort subsequently. In this study, the team revealed that maternal preconception retinal venular widening was associated with elevated pre-gravid inflammation in vivo, and steeper resistance increments in maternal uterine and fetal umbilical arteries from the second to third trimester in the ensuing pregnancy, leading to a twofold risk of developing notching and extremely high umbilical artery resistance.60 In addition, the S-PRESTO cohort identified a strong link between maternal preconception generalized retinal arteriolar narrowing and reduced fetal growth trajectory, as indicated by decreased z-score changes in fetal abdominal circumference and length between 24–28 and 32–34 weeks of gestation.61 These findings were substantiated by the antenatal GUSTO cohort study, where a narrower retinal arteriolar caliber and sparser fractal dimension in 26–28 weeks of gestation were associated with slower fetal growth from 26–28 weeks to 32–34 weeks of pregnancy, and even birth weight and size at delivery.62 These findings could suggest a reduction in villous surface and placental size, potentially leading to restricted or slowed fetal growth throughout pregnancy. This implication was put forth by the research team from the Generation R study,63,64 which revealed that retinal arteriolar narrowing in the second trimester correlated with lower levels of pIGF and VEGF biomarkers. This correlation points to suboptimal circulation, which may hinder placental synthesis of nitric oxide (a major vasodilator and angiogenesis factor) and polyamines (key regulators of DNA and protein synthesis).
Future development: Prediction model using retinal vascular features and retinal images, by using artificial intelligence technology
The landscape of clinical practice is poised for significant advancements with the burgeoning integration of artificial intelligence (AI) into retinal imaging. The widespread development of AI has revolutionized the detection of retinal vascular characteristics, markedly reducing the time required for manual grading.65 Embracing the wave of digital health innovations,66,67 our research endeavors extended to include multiple machine learning projects within the GUSTO/S-PRESTO cohorts.
These projects unveiled a remarkable finding—the machine learning methodology, alongside traditional statistical prediction methods, exhibited superior predictive performance compared to conventional maternal risk factors. This underscores the immense potential of machine learning applications in the realm of women’s health research, particularly in leveraging retinal vascular parameters and intrauterine growth restriction biomarkers. Moreover, the future of retinal imaging ventures into more sophisticated techniques, such as Optical Coherence Tomography-Angiography and ultrawide field retinal imaging. This noninvasive method enables the assessment of functional retinal vascular networks without the need for contrast dyes, boasting high repeatability in vessel caliber measurements.68
Conclusion
In summary, our study provides robust evidence affirming the efficacy of retinal vascular imaging as a valuable tool for predicting adverse maternal and fetal outcomes, starting as early as the preconception phase. The ability to detect microvascular changes through noninvasive methods at an early stage paves the way for timely interventions, offering the potential to mitigate the progression of complications and prevent adverse pregnancy outcomes. The convergence of AI, machine learning, and advanced imaging techniques heralds a promising era in women’s health research and clinical practice.
Funding
None.
Editor Note
Ling-Jun Li is one of the editorial board members of Maternal-Fetal Medicine. The article was subject to the journal’s standard procedures, with peer review handled independently of this editor and the associated research groups.
Footnotes
First online publication: 4 April 2024
How to cite this article: Lim BSY, Li L-J. Retinal Vascular Imaging Application in Women’s Reproductive Health: Clinical Implications and Future Directions. Maternal Fetal Med 2024;6(2):92–96. doi: 10.1097/FM9.0000000000000222.
Conflicts of Interest
None.
References
- 1.Mahabadi N. Neuroanatomy, retina. StatPearls - NCBI Bookshelf; 2023. https://www.ncbi.nlm.nih.gov/books/NBK545310/. [PubMed] [Google Scholar]
- 2.Wong TY Klein R Sharrett AR, et al. Retinal arteriolar narrowing and risk of coronary heart disease in men and women. The Atherosclerosis Risk in Communities Study. JAMA. 2002;287(9):1153–1159. 10.1001/jama.287.9.1153. [DOI] [PubMed] [Google Scholar]
- 3.Li LJ Liao J Cheung CY, et al. Assessing the causality between blood pressure and retinal vascular caliber through Mendelian randomisation. Sci Rep 2016;6:22031. 10.1038/srep22031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cheung CY Biousse V Keane PA, et al. Hypertensive eye disease. Nat Rev Dis Primers 2022;8(1):14. 10.1038/s41572-022-00342-0. [DOI] [PubMed] [Google Scholar]
- 5.Baumann M, Burkhardt K, Heemann U. Microcirculatory marker for the prediction of renal end points: a prospective cohort study in patients with chronic kidney disease stage 2 to 4. Hypertension 2014;64(2):338–346. 10.1161/HYPERTENSIONAHA.114.03354. [DOI] [PubMed] [Google Scholar]
- 6.Sabanayagam C Shankar A Koh D, et al. Retinal microvascular caliber and chronic kidney disease in an Asian population. Am J Epidemiol 2009;169(5):625–632. 10.1093/aje/kwn367. [DOI] [PubMed] [Google Scholar]
- 7.Sabanayagam C Tai ES Shankar A, et al. Retinal arteriolar narrowing increases the likelihood of chronic kidney disease in hypertension. J Hypertens 2009;27(11):2209–2217. 10.1097/HJH.0b013e328330141d. [DOI] [PubMed] [Google Scholar]
- 8.Zhang S Chen R Wang Y, et al. Association of retinal age gap and risk of kidney failure: a UK biobank study. Am J Kidney Dis 2023;81(5):537–544.e1. 10.1053/j.ajkd.2022.09.018. [DOI] [PubMed] [Google Scholar]
- 9.Dong Y Lin L Yan H, et al. Shifts in retinal vessel diameter and oxygen saturation in Chinese type 2 diabetes mellitus patients. BMC Ophthalmol 2016;16:43. 10.1186/s12886-016-0217-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Sabanayagam C Lye WK Klein R, et al. Retinal microvascular calibre and risk of diabetes mellitus: a systematic review and participant-level meta-analysis. Diabetologia 2015;58(11):2476–2485. 10.1007/s00125-015-3717-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ikram MK De Jong FJ Bos MJ, et al. Retinal vessel diameters and risk of stroke: the Rotterdam study. Neurology 2006;66(9):1339–1343. 10.1212/01.wnl.0000210533.24338.ea. [DOI] [PubMed] [Google Scholar]
- 12.McGeechan K Liew G Macaskill P, et al. Prediction of incident stroke events based on retinal vessel caliber: a systematic review and individual-participant meta-analysis. Am J Epidemiol 2009;170(11):1323–1332. 10.1093/aje/kwp306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ding J Wai KL McGeechan K, et al. Retinal vascular caliber and the development of hypertension: a meta-analysis of individual participant data. J Hypertens 2014;32(2):207–215. 10.1097/HJH.0b013e32836586f4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Sun C Wang JJ Mackey DA, et al. Retinal vascular caliber: systemic, environmental, and genetic associations. Surv Ophthalmol 2009;54(1):74–95. 10.1016/j.survophthal.2008.10.003. [DOI] [PubMed] [Google Scholar]
- 15.Benitez-Aguirre P Craig ME Sasongko MB, et al. Retinal vascular geometry predicts incident retinopathy in young people with type 1 diabetes: a prospective cohort study from adolescence. Diabetes Care 2011;34(7):1622–1627. 10.2337/dc10-2419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Broe R. Early risk stratification in paediatric type 1 diabetes. Acta Ophthalmol 2015;93 Thesis 1:1–19. 10.1111/aos.12702. [DOI] [PubMed] [Google Scholar]
- 17.Cheung CY Ong S Ikram MK, et al. Retinal vascular fractal dimension is associated with cognitive dysfunction. J Stroke Cerebrovasc Dis 2014;23(1):43–50. 10.1016/j.jstrokecerebrovasdis.2012.09.002. [DOI] [PubMed] [Google Scholar]
- 18.Cheung CY Zheng Y Hsu W, et al. Retinal vascular tortuosity, blood pressure, and cardiovascular risk factors. Ophthalmology 2011;118(5):812–818. 10.1016/j.ophtha.2010.08.045. [DOI] [PubMed] [Google Scholar]
- 19.Owen CG Rudnicka AR Welikala RA, et al. Retinal vasculometry associations with cardiometabolic risk factors in the European prospective investigation of cancer—Norfolk study. Ophthalmology 2019;126(1):96–106. 10.1016/j.ophtha.2018.07.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Tapp RJ Owen CG Barman SA, et al. Associations of retinal microvascular diameters and tortuosity with blood pressure and arterial stiffness: United Kingdom biobank. Hypertension 2019;74(6):1383–1390. 10.1161/HYPERTENSIONAHA.119.13752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ma DJ Lee H Choi JM, et al. The role of retinal vessel geometry as an indicator of systemic arterial stiffness assessed by cardio-ankle vascular index. Frontiers in Cardiovascular Medicine 2023;10:1139557. 10.3389/fcvm.2023.1139557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Faienza MF Urbano F Lassandro G, et al. The cardiovascular disease (CVD) risk continuum from prenatal life to adulthood: A literature review. Int J Environ Res Public Health 2022;19(14):8282. 10.3390/ijerph19148282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lurbe E, Ingelfinger JR. Developmental and early life origins of cardiometabolic risk factors: novel findings and implications. Hypertension 2021;77(2):308–318. 10.1161/hypertensionaha.120.14592. [DOI] [PubMed] [Google Scholar]
- 24.Loo E Soh SE Loy SL, et al. Cohort profile: Singapore preconception study of long-term maternal and child outcomes (S-PRESTO). Eur J Epidemiol 2020;36(1):129–142. 10.1007/s10654-020-00697-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Huang L Loy SL Chen WQ, et al. Retinal microvasculature and time to pregnancy in a multi-ethnic pre-conception cohort in Singapore. Hum Reprod 2021;36(11):2935–2947. 10.1093/humrep/deab197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Li LJ Du R Loy SL, et al. Retinal microvasculature and risk of spontaneous abortion in multiethnic southeast Asian women. Fertil Steril 2022;118(4):748–757. 10.1016/j.fertnstert.2022.06.033 [DOI] [PubMed] [Google Scholar]
- 27.Balmforth C Van Bragt JJ Ruijs T, et al. Chorioretinal thinning in chronic kidney disease links to inflammation and endothelial dysfunction. JCI Insight 2016;1(20):e89173. 10.1172/jci.insight.89173:e89173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wu L Gong X Wang W, et al. Association of retinal fractal dimension and vessel tortuosity with impaired renal function among healthy Chinese adults. Front Med (Lausanne) 2022;9:925756. 10.3389/fmed.2022.925756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Huang L Chen WQ Aris IM, et al. Associations between cardiac function and retinal microvascular geometry among Chinese adults. Sci Rep 2020;10(1):14797. 10.1038/s41598-020-71385-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Cheung CY Sabanayagam C Law A, et al. Retinal vascular geometry and 6 year incidence and progression of diabetic retinopathy. Diabetologia 2017;60(9):1770–1781. 10.1007/s00125-017-4333-0. [DOI] [PubMed] [Google Scholar]
- 31.Hartnett ME Martiniuk D Byfield G, et al. Neutralizing VEGF decreases tortuosity and alters endothelial cell division orientation in arterioles and veins in a rat model of ROP: relevance to plus disease. Invest Ophthalmol Vis Sci 2008;49(7):3107–3114. 10.1167/iovs.08-1780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sasongko MB Wong TY Nguyen TT, et al. Retinal vascular tortuosity in persons with diabetes and diabetic retinopathy. Diabetologia 2011;54(9):2409–2416. 10.1007/s00125-011-2200-y. [DOI] [PubMed] [Google Scholar]
- 33.Abdel-Razik M, El-Berry S, Mostafa A. The effects of nitric oxide donors on uterine artery and sub-endometrial blood flow in patients with unexplained recurrent abortion. J Reprod Infertil 2014;15(3):142–146. [PMC free article] [PubMed] [Google Scholar]
- 34.Pietropolli A Bruno V Capogna MV, et al. Uterine blood flow indices, antinuclear autoantibodies and unexplained recurrent miscarriage. Obstet Gynecol Sci 2015;58(6):453–460. 10.5468/ogs.2015.58.6.453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Magnus MC Wilcox AJ Morken NH, et al. Role of maternal age and pregnancy history in risk of miscarriage: prospective register based study. BMJ 2019;364:l869. 10.1136/bmj.l869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zhang M Yang BY Sun Y, et al. Non-linear relationship of maternal age with risk of spontaneous abortion: a case-control study in the China birth cohort. Front Public Health 2022;10:933654. 10.3389/fpubh.2022.933654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Qu F Wu Y Zhu YH, et al. The association between psychological stress and miscarriage: A systematic review and meta-analysis. Sci Rep 2017;7(1):1731. 10.1038/s41598-017-01792-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Pineles BL, Park E, Samet JM. Systematic review and meta-analysis of miscarriage and maternal exposure to tobacco smoke during pregnancy. Am J Epidemiol 2014;179(7):807–823. 10.1093/aje/kwt334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Conner SN Bedell V Lipsey K, et al. Maternal marijuana use and adverse neonatal outcomes: a systematic review and meta-analysis. Obstet Gynecol 2016;128(4):713–723. 10.1097/aog.0000000000001649. [DOI] [PubMed] [Google Scholar]
- 40.Daniel S Koren G Lunenfeld E, et al. NSAIDs and spontaneous abortions - true effect or an indication bias? Br J Clin Pharmacol 2015;80(4):750–754. 10.1111/bcp.12653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Andersen SL, Olsen J, Laurberg P. Hypothyroidism and pregnancy loss: comparison with hyperthyroidism and diabetes in a Danish population-based study. Clin Endocrinol (Oxf) 2016;85(6):962–970. 10.1111/cen.13136. [DOI] [PubMed] [Google Scholar]
- 42.Cai WY Luo X Lv HY, et al. Insulin resistance in women with recurrent miscarriage: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2022;22(1):916. 10.1186/s12884-022-05256-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Malasevskaia I Sultana S Hassan A, et al. A 21st century epidemy-obesity: and its impact on pregnancy loss. Cureus 2021;13(1):e12417. 10.7759/cureus.12417 2021;13:e12417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Grippo A Zhang J Chu L, et al. Air pollution exposure during pregnancy and spontaneous abortion and stillbirth. Rev Environ Health 2018;33(3):247–264. 10.1515/reveh-2017-0033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Soh SE Tint MT Gluckman PD, et al. Cohort profile: growing up in Singapore towards healthy outcomes (GUSTO) birth cohort study. Int J Epidemiol 2013;43(5):1401–1409. 10.1093/ije/dyt125. [DOI] [PubMed] [Google Scholar]
- 46.Li LJ Ong PG Colega MT, et al. The impact of macronutrients on retinal microvasculature among Singapore pregnant women during the mid-late gestation. PloS One 2016;11(8):e0160704. 10.1371/journal.pone.0160704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Li LJ Ikram MK Cheung CY, et al. Effect of maternal body mass index on the retinal microvasculature in pregnancy. Obstet Gynecol 2012;120(3):627–635. 10.1097/aog.0b013e3182639577. [DOI] [PubMed] [Google Scholar]
- 48.Li LJ Cheung CY Ikram MK, et al. Blood pressure and retinal microvascular characteristics during pregnancy: growing up in Singapore towards healthy outcomes (GUSTO) study. Hypertension 2012;60(1):223–230. 10.1161/HYPERTENSIONAHA.112.195404. [DOI] [PubMed] [Google Scholar]
- 49.Li LJ Ikram MK Broekman L, et al. Antenatal mental health and retinal vascular caliber in pregnant women. Transl Vis Sci Technol 2013;2(2):2. 10.1167/tvst.2.2.2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Li LJ Kramer MS Tapp RJ, et al. Gestational diabetes mellitus and retinal microvasculature. BMC Ophthalmol 2017;17(1):4. 10.1186/s12886-016-0398-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Bijl RC Valensise H Novelli GP, et al. Methods and considerations concerning cardiac output measurement in pregnant women: recommendations of the international working group on maternal hemodynamics. Ultrasound Obstet Gynecol 2019;54(1):35–50. 10.1002/uog.20231. [DOI] [PubMed] [Google Scholar]
- 52.Jiménez-Osorio AS Carreón-Torres E Correa-Solís ET, et al. Inflammation and oxidative stress induced by obesity, gestational diabetes, and preeclampsia in pregnancy: role of high-density lipoproteins as vectors for bioactive compounds. Antioxidants (Basel) 2023;12(10):1894. 10.3390/antiox12101894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Kornacki J Gutaj P Kalantarova A, et al. Endothelial dysfunction in pregnancy complications. Biomedicines 2021;9(12):1756. 10.3390/biomedicines9121756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Li LJ Tan KH Aris IM, et al. Retinal vasculature and 5-year metabolic syndrome among women with gestational diabetes mellitus. Metabolism 2018;83:216–224. 10.1016/j.metabol.2017.10.004. [DOI] [PubMed] [Google Scholar]
- 55.Li LJ Tan KH Aris IM, et al. Gestational retinal microvasculature and the risk of 5 year postpartum abnormal glucose metabolism. Diabetologia 2017;60(12):2368–2376. 10.1007/s00125-017-4441-x. [DOI] [PubMed] [Google Scholar]
- 56.Emanuel I. Maternal health during childhood and later reproductive performance. Ann N Y Acad Sci 1986;477:27–39. 10.1111/j.1749-6632.1986.tb40318.x. [DOI] [PubMed] [Google Scholar]
- 57.Drake AJ, Walker BR. The intergenerational effects of fetal programming: non-genomic mechanisms for the inheritance of low birth weight and cardiovascular risk. J Endocrinol 2004;180(1):1–16. 10.1677/joe.0.1800001. [DOI] [PubMed] [Google Scholar]
- 58.Kooijman MN Gaillard R Reiss I, et al. Influence of fetal blood flow redistribution on fetal and childhood growth and fat distribution: the generation R study. BJOG 2016;123(13):2104–2112. 10.1111/1471-0528.13933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Krishna U, Bhalerao S. Placental insufficiency and fetal growth restriction. J Obstet Gynaecol India 2011;61(5):505–511. 10.1007/s13224-011-0092-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Li LJ Nahar MN Du R, et al. Preconception maternal retinal venular widening and steeper resistance increments in the utero-fetoplacental circulation in pregnancy. iScience 2023;26(12):108535. 10.1016/j.isci.2023.108535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Li LJ Du R Chan J, et al. Preconception maternal retinal arteriolar narrowing and fetal growth throughout pregnancy: a prospective cohort study. BJOG 2024;131(3):278–287 10.1111/1471-0528.17621. [DOI] [PubMed] [Google Scholar]
- 62.Li LJ Aris I Su LL, et al. Associations of maternal retinal vasculature with subsequent fetal growth and birth size. PloS One 2015;10(4):e0118250. 10.1371/journal.pone.0118250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Gishti O Jaddoe VW Felix JF, et al. Influence of maternal angiogenic factors during pregnancy on microvascular structure in school-age children. Hypertension 2015;65(4):722–728. 10.1161/hypertensionaha.114.05008. [DOI] [PubMed] [Google Scholar]
- 64.Jaddoe VW Van Duijn CM Franco OH, et al. The generation R study: design and cohort update 2012. Eur J Epidemiol 2012;27(9):739–756. 10.1007/s10654-012-9735-1. [DOI] [PubMed] [Google Scholar]
- 65.He S Bulloch G Zhang L, et al. Comparing common retinal vessel caliber measurement software with an automatic deep learning system. Curr Eye Res 2023;48(9):843–849. 10.1080/02713683.2023.2212881. [DOI] [PubMed] [Google Scholar]
- 66.Chan YK, Cheng CY, Sabanayagam C. Eyes as the windows into cardiovascular disease in the era of big data. Taiwan J Ophthalmol 2023;13(2):151–167. 10.4103/tjo.tjo-d-23-00018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Kumar M Chen L Tan K, et al. Population-centric risk prediction modeling for gestational diabetes mellitus: a machine learning approach. Diabetes Res Clin Pract 2022;185:109237. 10.1016/j.diabres.2022.109237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Tsai J Asanad S Whiting M, et al. Repeatability and comparability of retinal blood vessel caliber measurements by OCTA. Vision (Basel) 2023;7(3):48. 10.3390/vision7030048. [DOI] [PMC free article] [PubMed] [Google Scholar]
