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Biomarkers of cardiovascular disease risk in the neonatal population

Published online by Cambridge University Press:  03 August 2022

Alexandra Lianou
Affiliation:
Neonatal Intensive Care Unit, University of Ioannina, School of Medicine, Ioannina, Greece
Dimitrios Rallis*
Affiliation:
Neonatal Intensive Care Unit, University of Ioannina, School of Medicine, Ioannina, Greece
Maria Baltogianni
Affiliation:
Neonatal Intensive Care Unit, University of Ioannina, School of Medicine, Ioannina, Greece
Antonios Vlahos
Affiliation:
Department of Paediatrics, University of Ioannina, School of Medicine, Ioannina, Greece
Haralampos Milionis
Affiliation:
First Division of Internal Medicine, University of Ioannina Faculty of Medicine, School of Medicine, Ioannina, Greece
Vasileios Giapros
Affiliation:
Neonatal Intensive Care Unit, University of Ioannina, School of Medicine, Ioannina, Greece
*
Address for correspondence: Dimitrios Rallis, Neonatal Intensive Care Unit, University of Ioannina, School of Medicine, Stavros Niarchos Avenue, 45500, Ioannina, Greece. Email: [email protected]
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Abstract

The consistently high prevalence of cardiovascular disease (CVD) has urged the need for punctual and effective prevention. Extended research on this specific area has demonstrated the influence of fetal and neonatal periods on the risk of developing CVD in adulthood. Thus, the role of traditional and novel biological markers to the effective screening of CVD among the neonatal population is widely investigated. The objective of the present narrative review is to examine those neonatal biomarkers that may play a role in the development of CVD, to exhibit scientific data that appertain to their association with various perinatal conditions leading to CVD predisposition, and their potential role on prediction and prevention strategies. Multiple biomarkers, traditional and novel, have been mined across the studied literature. Adiposity, insulin resistance, altered lipid profile, inflammation, and endothelial dysfunction seem among the headliners of CVD. Even though various novel molecules have been studied, their clinical utility remains controversial. Therefore, it is quite important for the scientific community to find elements with strong predictive value and practical clinical use.

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

Introduction

Despite the remarkable progress on the promotion of cardiovascular health, cardiovascular disease (CVD) remains the principal cause of death worldwide. Reference Ford, Li, Zhao, Pearson and Capewell1 Although CVD does not become clinically apparent from infancy, wide research is carried out in order to bear testament to the hypothesis that intrauterine growth and perinatal characteristics strongly affect the risk of developing CVD in adulthood. Reference Steinberger, Daniels and Eckel2 Thus, increased appreciation of the above statements has prompted the need for new putative biomarkers that would facilitate an effective screening and primary prevention strategies. Reference Steinberger, Daniels and Eckel2

The intrauterine environment provides a foundation on which hypertension, insulin resistance (IR), or increased adiposity and metabolic syndrome may develop in offspring throughout their life. Reference Kuhle, Maguire, Ata, MacInnis and Dodds3 In 1987, Barker et al. established a direct association of deficient fetal growth with hypertension and CVD in adulthood. Reference Barker4 Preterm birth, small for gestation (SGA) infants (birth weight less than the 10th percentile for their gestational age and sex), large for gestation (LGA) infants (birth weight greater than the 90th percentile for their gestational age and sex), and intrauterine growth-restricted (IUGR) pregnancies (fetuses that do not achieve the expected in utero growth due to genetic or environmental incidents) Reference Beune, Bloomfield and Ganzevoort5 have been associated with increased risk of developing several morbidities later in life including CVD. Reference Kuhle, Maguire, Ata, MacInnis and Dodds3,Reference Liang, Xu and Liu6

Since CVD is a general condition comprised of a variety of components affecting the heart or the vascular system, one can come across more than one definition and a difficulty for a clear consensus. The risk of developing CVD in adulthood strongly coincides with developing one or more of the following conditions including hypertension, increased body mass index (BMI), IR, dyslipidemia, inflammation, atherosclerosis, and arterial stiffness. Reference Steinberger, Daniels and Eckel2,Reference Balagopal, De Ferranti and Cook7 Other studies make use of scores based on the existing literature in order to make a gross assessment of these components studied in the first years of life that can predict the development of CVD in adulthood. Reference Balagopal, De Ferranti and Cook7,Reference Buchan, Boddy and Despres8

Concerning the pediatric population, uncertainty prevails in understanding the role of the different risk factors and biomarkers associated with the primary prevention of CVD. Reference Steinberger, Daniels and Eckel2,Reference Balagopal, De Ferranti and Cook7 In the neonatal population, various biomarkers associated with CVD in adults have been studied. However, because of the limited data for this population until adulthood, there is great heterogeneity in the literature and lack of direct association between specific biomarkers and CVD events such as stroke, myocardial infarction, and chronic kidney disease. Reference Steinberger, Daniels and Eckel2,Reference Kuhle, Maguire, Ata, MacInnis and Dodds3,Reference Buchan, Boddy and Despres8

Therefore, the aim of the present narrative review is focused on performing an overview of the literature concerning those biomarkers in the neonatal population and to observe their expression across various perinatal states that are already known to contribute to the development of CVD in later life (prematurity, altered birth weight, IUGR, etc.) Reference Kuhle, Maguire, Ata, MacInnis and Dodds3,Reference Liang, Xu and Liu6 and their potential predictive role and contribution for prevention strategies.

Methods

Search strategy

We adhered to the PICO (Population, Intervention or Exposure, Comparison, Outcome) Research guidelines, regarding the characteristics of the population and biomarkers to be examined, the implementation of the study, and the extraction of the outcomes. We searched for studies that investigated biomarkers in neonatal samples, possibly representative and/or predictive of the development of CVD in later life published from August 1997 through October 2021. The included studies covered a spectrum of neonatal conditions such as born at term, preterm, appropriate for gestational age (AGA), SGA, LGA, very low birth weight, extremely low birth weight (ELBW), IUGR. Our search was based on the following databases: PubMed, ResearchGate and was based on the following medical subject headings and keywords: “neonates”, “infants”, “newborn” and, with Boolean operator ‘AND’ “CVD”, “CVD risk”, “biomarkers”, “predictive”. Additionally, all references of the selected studies were searched to make sure no study was missed.

Selection of articles

Data were extracted independently by two reviewers (A.L. and D.R.). Of the 5,912 identified articles, eligible were the ones including human samples, published in the English language, and containing neonatal evidence regarding biomarkers with a potential association to CVD, as per the above-mentioned definitions. We included articles, studying biomarkers from cord and venous samples. Prospective, retrospective, longitudinal, and cross-sectional studies were included. Studies not containing raw data such as review, or opinion articles did not meet the inclusion criteria. Articles containing nonhuman or non-neonatal study groups, studies not containing any analysis of molecules or any association of the studied biomarkers with components of CVD were not included. Ultimately forty-eight articles met the inclusion criteria for the present review. The two authors independently assessed the title, abstract, and full text of the selected articles and data were extracted independently (Fig. 1).

Fig. 1. Prisma flow diagram.

CVD biomarkers in neonatal population

A biomarker’s clinical value is defined by evidence from prospective studies, in a wide sample of the population, by standardization of the measurements, low variability, reproducibility, and low cost. Ascertaining an association between a biomarker in infancy and a CVD outcome in later life provides the power of a biomarker’s predictive value. This review demonstrates various biomarkers (Table 1) that correlate with characteristics of CVD such as blood pressure, endothelial function, aortic intima-media thickness (aIMT), carotid IMT (cIMT), and alterations in cardiac ultrasound.

Table 1. Frequently studied CVD biomarkers, traditional and novel

SGA; small for gestation, AGA; appropriate for gestation, IUGR; intrauterine growth restriction, DM; diabetes mellites, Hs-CRP; high sensitivity C-reactive protein, SBP; systolic blood pressure, aIMT; aortic intima media thickness, IL-6; interleukin 6, TNF-a; tumor necrosis factor a, GDM; gestational diabetes mellites, HOMA-IR; homeostasis model assessment-estimated insulin resistance, ELBW; extremely low birth weight, TG; triglycerides, HDL-C; high density lipoprotein cholesterol; LDL; low density lipoprotein, PCSK9; Proprotein Convertase Subtilisin/Kexin-Type 9

* References on biomarker’s correspond to the findings of the included studies.

Adipokines

Of the different pathways leading to CVD, adiposity imbalance seems to play a central role. Adipose tissue produces several bioactive proteins known as adipokines, which play a crucial role in the pathogenesis of obesity, inflammation, abnormal lipid and glucose metabolism, angiogenesis, and dysregulated cardiovascular health in general. Reference Steinberger, Daniels and Eckel2,Reference Balagopal, De Ferranti and Cook7

Adiponectin

Adiponectin is a protein with an inverse association with IR, metabolic syndrome, and CVD. It possibly has fetal origins as it presented a slight though not significant increase between birth and four days postpartum. Reference Sivan, Mazaki-Tovi and Pariente9 Concerning the neonatal population, lower adiponectin levels were noticed in cord samples of IUGR, Reference Aydin, Eser and Kaygusuz10 SGA (term and preterm), and ELBW-AGA newborns compared to control groups. Reference Cekmez, Canpolat and Pirgon11 Adiponectin seems an important determinant of fetal growth and neonatal body composition and there is a possible interaction between adiponectin’s molecular weight isoforms and gender. Specifically, for female neonates, high-molecular-weight adiponectin appeared as one of the main determinants of adiposity and fetal growth velocity, whereas in males, fetal growth and adiposity appeared affected by low-molecular-weight adiponectin. Reference Simón-Muela, Näf and Ballesteros12 Females also presented with significantly higher levels of total and high molecular-weight adiponectin compared to males. Reference Minatoya, Araki and Miyashita13 Cord adiponectin presented a linear association with weight, length, and subscapular z-scores at 6 months of age, in offspring of obese mothers. Also, a decrease in cord adiponectin levels was found in infants of diabetic mothers (IDMs) Reference Patel, Hellmuth and Uhl14 The reduced adiponectin levels in these groups could be an expression of fetal programming, possibly affected also by the maternal compartment, that is related to altered adiposity and IR in later life and of a possible contribution of adiponectin in the pathogenesis of IR. Reference Aydin, Eser and Kaygusuz10-Reference Patel, Hellmuth and Uhl14

Leptin

Leptin is a satiety factor with a central role in the regulation of appetite and metabolism. Reference Aydin, Eser and Kaygusuz10,Reference Li, Rifas-Shiman and Aris15 In neonates it possibly correlates with GA and birth weight. Cord leptin displayed a significant decrease in neonatal samples during the first week of life. Reference Sivan, Mazaki-Tovi and Pariente9,Reference Matsuda, Yokota and Iida16 Concerning intrauterine growth, leptin presented no significant differences between IUGR and controls. However, a negative correlation was observed between adropin, a liver-secreted factor involved in several metabolic pathways, and leptin in cord samples of IUGR neonates. Reference Aydin, Eser and Kaygusuz10 Cord leptin levels were related to measures of neonatal growth, body composition, and catch-up growth. Also, they were negatively associated with infant mid-upper arm circumference z-scores and positively associated, with birth weight, with increased odds of catch-down growth at 6 months of age and with the Ponderal Index. Reference Simón-Muela, Näf and Ballesteros12-Reference Patel, Hellmuth and Uhl14 Additionally, leptin also appeared as a strong predictor of decreased septal strain in infants of obese or diabetic mothers. Reference Cade, Levy and Tinius17 Following the dynamic changes in leptin levels from birth to childhood, three distinct patterns were identified: “low stable,” “high-decreasing,” and “intermediate-increasing.” Most of the adiposity measures and biomarkers presented with their greatest values in the third group, while high-density lipoprotein cholesterol (HDL-C) was decreased in this group. Furthermore, the “intermediate-increasing” trajectory was related to altered parameters of obesity, such as BMI z-score, waist circumference, total fat mass index, higher insulin, inflammation, and lower HDL-C compared to the low-stable trajectory. Association with higher leptin levels at early adolescence, presented the intermediate-increasing and high-decreasing trajectories. Reference Li, Rifas-Shiman and Aris15 Leptin levels appear to correlate with body composition, adiposity, and energy balance, and elevated leptin levels have been associated with obesity-related inflammation biomarkers. Thus, the alterations in leptin levels throughout the first years of life could predict subsequent cardiometabolic outcomes. Reference Aydin, Eser and Kaygusuz10,Reference Li, Rifas-Shiman and Aris15

Additional adipokines

Aliquot adipokines studied include visfatin and adropin, which play an important part in the regulation of glycemic homeostasis. Adropin also seems to be a novel regulator of endothelial function. It attenuates metabolic distress syndromes associated with obesity and contributes to energy homeostasis and lipid metabolism. Cord blood adropin was found significantly lower in IUGR neonates and presented a negative correlation with leptin and a positive correlation with endothelin-1 levels. Reference Aydin, Eser and Kaygusuz10 Visfatin is an insulin-mimetic factor known to increase along with the development of obesity. Visfatin levels were found to increase along with hyperglycemia as well. Significant differences between preterm and ELBW infants were reported regarding visfatin, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), and insulin levels. Visfatin levels were found significantly increased in ELBW infants compared to term and preterm, and in preterm SGA and AGA infants. Thus, visfatin can be used as an early IR indicator also in ELBW infants. Reference Cekmez, Canpolat and Pirgon11

Inflammation

Inflammation is present in many of the different pathways leading to CVD, including obesity, adiposity, blood pressure, and atherosclerosis. Reference Steinberger, Daniels and Eckel2,Reference Balagopal, De Ferranti and Cook7 Concerning the pediatric population wide research is necessary to identify those inflammatory markers that could be related to the early onset of CVD and predictive of its progression in adulthood.

High sensitivity C-reactive protein (hs-CRP)

Recent pediatric research demonstrated that elevated CRP levels are related to CVD from the first years of life. Thus, researchers investigated the contribution of hs-CRP, a sensitive marker of systemic inflammation, in the first days of life among neonates at risk of developing CVD. Term healthy infants presented a significant increase in CRP in 24 and 36 hours postpartum, with a peak at 24 hours. Reference Rallis, Balomenou and Kappatou18 SGA neonates presented significantly higher levels of hs-CRP compared to AGA. No gender-specific differences were noticed. Further studies propose an association between cord hs-CRP and systolic blood pressure in children born SGA and a higher, though not significant aortic thickening in children born SGA. Reference Trevisanuto, Doglioni, Altinier, Zaninotto, Plebani and Zanardo19,Reference Trevisanuto, Avezzù and Cavallin20 Interestingly, chorioamnionitis was associated with a significant increase in hs-CRP in the immediate postnatal period. Reference Rafferty, Mcgrory and Cheung21 In addition, no increase in hs-CRP was reported in IUGR fetuses or infants from gestational diabetes mellites (GDM) pregnancies. Reference Crispi, Hernandez-Andrade and Pelsers22,Reference López Morales, Brito Zurita and González Heredia23 Lastly, hs-CRP levels were significantly higher in South Asian neonates compared to Caucasian, in a frame of a general impaired metabolic profile characterized by hyperinsulinemia, dyslipidemia, and higher E-selectin levels in South Asian subjects. Reference Boon, Karamali and De Groot24 The results suggest a possible association of the inflammatory status across perinatal conditions already correlated to CVD.

Additional inflammation markers

Additional elements of the inflammatory process, such as the cytokines IL-6 and TNF-a, the selectins and intercellular adhesion molecule (ICAM) families, seem important in CVD though less investigated. Both IL-6 and TNF-a appear to associate with IR, adiposity, and other CVD risk factors. In term healthy newborns cord IL-6 levels were significantly lower than in 24 and 48 hours postpartum reaching a peak during the first 24 hours. Reference Chiesa, Pacifico and Natale25 The levels of IL-6 and TNF-a were negatively associated with neonatal birth weight z-scores, and even though they may contribute to the development of neonatal adiposity in utero, an inverse association with neonatal body composition was found. Reference Patel, Hellmuth and Uhl14 IL-6 and TNF-a tended to increase in a group of IUGR neonates, and IL-6 values were higher in SGA neonates and neonates from GDM pregnancies. Reference López Morales, Brito Zurita and González Heredia23,Reference Kim, Lee and Kim26,Reference Leduc, Delvin and Ouellet27 These higher inflammatory cytokine concentrations are suggestive of triggering the proinflammatory response in these populations.

Inflammation and endothelial dysfunction

E-selectin, ICAM-1, vascular cell adhesion molecule-1 (VCAM-1)

Concerning markers of endothelial dysfunction, such as E-selectin, ICAM-1, and VCAM-1 in the pediatric population, the number of relevant studies is very limited. E-Selectin appeared significantly higher in South Asian neonates, whereas ICAM-1 and VCAM-1 did not differ compared to Caucasian ones. Hyperinsulinemia, dyslipidemia, and higher CRP levels were also present in South Asian subjects. Reference Boon, Karamali and De Groot24 In children with a family history of premature coronary artery diseases, there were positive correlations between total cholesterol (TC) and VCAM-1 and TC and ICAM-1. Reference Pac-Kozuchowska, Krawiec and Grywalska28 Additionally, when the levels of serum ICAM-1 were studied among twins one of which being IUGR no significant differences were noticed. Reference Leduc, Delvin and Ouellet27 Yet, the levels of serum ICAM-1 were statistically higher in infants of GDM pregnancies and VCAM-1 was significantly higher in infants of GDM pregnancies and placental atherosclerosis. Reference López Morales, Brito Zurita and González Heredia23 Consequently, alterations on specific markers of endothelial dysfunction demonstrate the early onset of vascular stress as a result of exposure to an atherogenic environment.

Homocysteine (tHcys)

Homocysteine is considered a cardiovascular risk biomarker in adults. It exerts several toxic effects, including injury on the vascular endothelial cells. Reference Ophir, Dourleshter and Hirsh29,Reference Perez-Cruz, Crispi and Fernández30 It appeared at no significant differences among SGA, IUGR, and control fetuses. Reference Perez-Cruz, Crispi and Fernández30 However, studies have shown that maternal alleles affect neonatal homocysteinemia and that maternal levels of tHcys seemed the most powerful independent predictor of cord tHcys. Reference Ophir, Dourleshter and Hirsh29,Reference Gesteiro, Sánchez-Muniz, Ortega-Azorín, Guillén, Corella and Bastida31 Furthermore, significantly higher concentrations of tHcys and fibrinogen were noticed among newborns of pre-eclamptic pregnancies compared to controls, suggesting the intrauterine origin of CVD risk in this population. Reference Ophir, Dourleshter and Hirsh29

Insulin resistance

The role of insulin in the development of cardiovascular pathology remains controversial. Extended research in adults provides evidence that IR is the result of various intracellular events associated with oxidative stress, adipocyte dysfunction, and the release of various adipokines. Reference Balagopal, De Ferranti and Cook7 Thus, it is important to validate those elements that can predict IR development from an early postnatal period.

Insulin

In term neonates, there is a hormonal and metabolic adaptation in the perinatal period, whereas, in preterm, abnormalities of glucose homeostasis are customary. Insulin and HOMA-IR appeared increased in ELBW and SGA infants. Additionally, IR increased across rising levels of prematurity and SGA status. Reference Cekmez, Canpolat and Pirgon11 Yet, among IUGR who made a catch-up growth and those who did not, no significant differences were noticed concerning insulin and HOMA-IR, Reference Alonso-Larruscain, Ruibal Francisco and Granizo Martínez32 which appeared to increase in newborns of mothers with GDM or obesity and pregestational DM. Reference Cade, Levy and Tinius17,Reference López Morales, Brito Zurita and González Heredia23 Additionally, infants of obese mothers with pregestational type 2 DM showed impaired cardiac function at one month of age in the absence of septal hypertrophy, which is associated with altered maternal and infant lipid and glucose metabolism. Reference López Morales, Brito Zurita and González Heredia23 Cord insulin levels also associated with maternal fasting glucose, neonatal birth weight z-scores, measures of body composition, and cord lysophosphatidylcholines. Consequently, fetal growth in the first two trimesters possibly associates with insulin levels. Reference Simón-Muela, Näf and Ballesteros12,Reference Pate, Hellmuth and Uhl33 Maternal and neonatal obesogenic alleles significantly affected neonatal insulin and HOMA-IR values, while there are polymorphisms that affect neonatal glucose homeostasis elements, such as insulin, in an opposite manner. Reference Gesteiro, Sánchez-Muniz, Ortega-Azorín, Guillén, Corella and Bastida31 In addition, insulin levels were significantly higher in South Asian neonates compared to Caucasian. Reference Boon, Karamali and De Groot24

Glucose

Hyperglycemia is directly associated with vascular disease. It is the first mediator of diabetic endothelial dysfunction, leading to impaired vascular health. Reference López Morales, Brito Zurita and González Heredia23 Glucose in term AGA neonates ranges from 3.9 to 6.7 mmol/l (70.2–120.6 mg/dl) (5th–90th percentile). Reference Simental-Mendía, Castañeda-Chacón and Rodríguez-Morán34 Its concentrations rise at two days postpartum at approximately 70mg/dl. Reference Gandhi35 In contrast with the previous parameters glucose levels did not significantly differ among term, preterm, ELBW infants or the SGA, AGA subgroups. Similarly, glucose levels did not significantly differ among South Asian and Caucasian neonates. No significant differences were noticed among newborns of obese diabetic mothers, newborns of obese non-diabetic mothers and controls as well. Additionally, glucose itself did not seem to be involved in the impaired cardiac function of newborns of obese diabetic mothers. Reference Cekmez, Canpolat and Pirgon11,Reference Cade, Levy and Tinius17,Reference Boon, Karamali and De Groot24 Yet other studies demonstrated significantly elevated glucose levels in SGA neonates. Reference Kim, Lee and Kim26 Glucose presented with significantly negative associations with birth weight z score, percentage of body fat and the state of LGA among children born to Indigenous and Non-Indigenous Australian women or obese pregnant women. Reference Pate, Hellmuth and Uhl33,Reference Lee, Barr and Longmore36 Cord glucose levels were significantly lower in IUGR neonates who got a catch-up, however, no significant differences were observed regarding during the follow-up. Elevated glucose and triglyceride levels in cord and maternal samples are typical features of SGA used to predict type 2 diabetes and CVD. Reference Alonso-Larruscain, Ruibal Francisco and Granizo Martínez32 Also glucose levels were significantly lower in GDM infants. Glucose along with other metabolic elements presented a direct association with the pathophysiology of GDM. Reference López Morales, Brito Zurita and González Heredia23 Lastly, maternal fat mass and obesity alleles seemed to affect glucose much more than neonatal alleles and several parameters linked to glucose homeostasis did. Reference Gesteiro, Sánchez-Muniz, Ortega-Azorín, Guillén, Corella and Bastida31

C-peptide

The connecting peptide, or C-peptide, represents pancreatic beta-cell function. In the context of diabetes or hypoglycemia, C-peptide can be used to distinguish between different conditions with similar clinical features. Studies have demonstrated a positive association of cord C-peptide with maternal fasting glucose, cord lysophoshatidilocholines, neonatal birth weight z-scores, measures of body composition, LGA, and neonatal fat; however, there were no associations with infant anthropometry at six months of age. Reference Pate, Hellmuth and Uhl33,Reference Lee, Barr and Longmore36 Significantly higher C-peptide concentrations were noticed in infants of obese diabetic mothers. Also, C-peptide belongs to those infant parameters that correlate with septal segmental longitudinal strain. Reference Cade, Levy and Tinius17 Thus, C-peptide seems to be a strong mediator of the association between maternal BMI and each neonatal outcome across the glucose tolerance spectrum of normal glucose tolerance, GDM, and type 2 diabetes. Reference Lee, Barr and Longmore36

Insulin-like growth factors I, II (IGF-I, II)

Insulin-like growth factors are molecules with a possible role in DM in the adults. In neonates, their contribution to the development of CVD is a field quite underexplored. However, IGF-I was raised in cord blood of offspring born to obese women because of maternal dysglycemia. Reference Pate, Hellmuth and Uhl33 IGF-1 and IGF-BP3 levels were found similar in the umbilical cord, at 9 months and 12 months in IUGR infants. It is stated that the normalization of insulin levels and IGF growth factor usually occurs during the first three months of postnatal life. Reference Alonso-Larruscain, Ruibal Francisco and Granizo Martínez32 Studies also have shown that at six months of age cord IGF-I was linearly associated with Lysophoshatidilocholines, infant weight z-scores, BMI z-score, and mid-upper arm circumference z-score. Also, it was positively associated with increased odds of catch-down growth, suggesting possible participation in fetal glucose homeostasis and fetal growth. Reference Pate, Hellmuth and Uhl33

Lipid profile

Although CVD based on atherosclerosis manifests in adulthood, there is mounting evidence that atherosclerosis begins in the first stages of life and progresses to measurable vascular changes in adulthood. Reference Steinberger, Daniels and Eckel2 Lipid levels in infants (aged < 6 months) before and after 4 weeks of life presented a slight though not significant increase in TC and LDL-C and a significant increase in triglycerides and decrease in HDL-C. Reference Kumar, Pandit, Chatterjee, Mukhopadhyay and Ghosh37 Lipid metabolism is widely explored including both traditional and novel biomarkers associated with CVD risk.

IUGR neonates appeared with higher levels of triglycerides and oxidized low-density lipoproteins (LDLs), molecules that associate with IR and atherogenesis. Reference Leduc, Delvin and Ouellet27,Reference Alonso-Larruscain, Ruibal Francisco and Granizo Martínez32 Triglyceride concentrations were elevated in umbilical cord and in all lipoprotein fractions in SGA infants. Similarly, SGA infants appeared with low levels of HDL-C in total cholesterol. A similar altered lipid profile was demonstrated among South Asian neonates. Furthermore, LDL, very-low-density lipoprotein (VLDL), and HDL3 from SGA neonates were enriched with triglycerides, same as the characteristics of patients with diabetes and metabolic syndrome and could be indicative of systemic inflammation and CVD. LDL from the SGA group presented higher sensitivity to oxidation and was easily taken up into macrophages, suggesting stronger proatherosclerotic properties. HDL-C from SGA neonates appeared dysfunctional with lower expression of anti-inflammatory apoA-I and increased expression of apoC-III. In summary, cord samples of SGA neonates presented atherogenic lipid profiles and impaired lipoprotein characteristics. Reference Boon, Karamali and De Groot24,Reference Kim, Lee and Kim26,Reference Kwiterovich, Cockrill and Virgil38 Other studies demonstrated the presence of large HDL-C subclasses enriched in apo-C-I in cord blood. These molecules appeared elevated in infants with lower birth weights and younger gestational ages and with significantly elevated total and large LDL cholesterol and LDL particle number, but lower total and VLDL triglycerides in contrast with SGA neonates. Reference Kwiterovich, Cockrill and Virgil38 Additionally, infants with a greater positive change in BMI z-score in the first 6 months presented a high proportion of saturated and low proportion of polyunsaturated plasma fatty acids (PUFA) at birth. Also, a tendency for a lower proportion of n-3 long-chain (LCPUFA) in infants with greater BMI z-score changes in the first 6 months was noticed. Thus, there is an indication that low levels of LCPUFA at birth correlate with a higher risk of obesity in later life. Reference Oʼtierney-Ginn, Davina and Gillingham39 Also differences appeared in lipids among term and preterm such as significantly higher total cholesterol, LDL, and various atherogenic indexes while no gender-based differences are reported. Reference Pardo, Geloneze, Tambascia and Barros-Filho40 Altered lipid profile was noticed in infants of GDM pregnancies, including significantly higher triglyceride and cholesterol levels and significantly lower HDL-C values. Alterations of neonatal HDL-C proteome associated with GDM, are accompanied by impaired cholesterol efflux capability and a trend to impaired anti-oxidative function. No sex differences were noticed in the HDL proteome. In the GDM group, HDL-C was also enriched with serum amyloid A1 protein and with apoE, while α-1-antitrypsin and atheroprotective apoM were reduced. Neonatal HDL–triglyceride levels were slightly increased, and a higher proportion of larger HDL-C molecules was noticed. Reference López Morales, Brito Zurita and González Heredia23,Reference Sreckovic, Birner-Gruenberger and Besenboeck41 Altered lipid profiles were also present in newborns from preeclamptic pregnancies, with significantly higher LDL-C levels. Reference Ophir, Dourleshter and Hirsh29 Even though in newborns with a family history of premature coronary artery disease no differences arose in terms of lipid metabolism in the age of 18-30 months, such children showed higher triglycerides, VLDL, and Lipoprotein(a). The same study also demonstrated gender-based differences including higher TC, LDL-C, HDL-C, and Apo A1 levels in female newborns. Reference Pac-Kozuchowska, Krawiec and Grywalska28 Ultimately, data suggest a nonsignificant trend toward a proatherogenic lipid profile in chorioamnionitis-exposed infants. Such observations may indicate future cardiometabolic risk for infants exposed to inflammation in utero. Reference Rafferty, Mcgrory and Cheung21

Protein convertase subtilisin/Kexin type-9

Protein convertase subtilisin/Kexin type-9 (PCSK9) plays a key role in lipoprotein metabolism. It is a targeted CVD biomarker in adults. It appeared as an independent predictor of LDL concentrations in IUGR and controls. Reference Pecks, Rath and Maass42,Reference Araki, Suga and Miyake43 PCSK9 levels in IUGR were 35% lower than in the control group. This persisted when subgrouping into early and late-onset IUGR. Furthermore, LDL receptor was significantly upregulated in IUGR. Gender wise, highest PCSK9 levels presented in control males born before 34 weeks of gestation. Reference Pecks, Rath and Maass42 Further data showed that PCSK9 levels of female infants were significantly higher than in males and they correlated with TC and LDL-C. These indicate that PCSK9 is an important regulator of LDL through fetal life. PCSK9 levels were found significantly lower in male SGA neonates than in male AGA, while PCSK9 levels between SGA and AGA female infants presented with no significant differences. Also, male SGA infants presented the lowest serum LDL-C values, among the four studied groups, suggesting a possible influence of PCSK9 on LDL levels concerning these populations. The evidence regarding the relationship between serum PCSK9 levels at birth and the development of dyslipidemia during adulthood is sparse and thus further research is required to assess the predictive power and clinical relevance of this upcoming CVD risk biomarker. Reference Araki, Suga and Miyake43

Biomarkers of myocardial function

Troponins (Tns)

Three subunit proteins (troponin C, I, and T) are involved in the actin–myosin interaction in muscle cells. Tns are increased in several forms of cardiomyopathy, such as hypertrophic cardiomyopathy or left ventricular hypertrophy. Reference Blohm, Arndt and Sandig44 High-sensitive TnI (hsTnI) and hsTnT follow a similar pattern reaching a peak during the first month of life, with a fast decrease during the first six months and a slow-paced decrease until achieving a plateau at adolescence. Reference Clerico, Aimo and Cantinotti45

Troponin I (TnI)

TnI is a biomarker of myocardial injury (Table 2). HsTnI, presented with no differences among maternal and fetal levels and there was an independent regulation of hsTnI between mother and fetus. Reference Blohm, Arndt and Sandig44 Yet, Cardiac TnI (cTnI) was found significantly elevated in IDMs. In fact, IDMs group with respiratory distress had significantly higher levels of cTnI. CTnI also correlated positively with interventricular septum thickness, intraventricular dimensions, and posterior wall diameter in IDMs. No sex-based differences are reported for cTnI. Reference Korraa, Ezzat and Bastawy46 Further data demonstrate higher levels of cTnI, in term IUGR and SGA fetuses, that presented with echocardiographic signs of systolic and diastolic dysfunction with increased myocardial performance index (MPI) and decreased mitral annular plane systolic excursion. Reference Perez-Cruz, Crispi and Fernández30

Table 2. CVD biomarkers of myocardial function

TnI; Troponin I, IUGR; intrauterine growth restriction, SGA; small for gestation, DM; diabetes mellites, US; ultrasound, TnT; Troponin T, GDM; gestational diabetes mellites, BNP; brain natriuretic peptide, NTpBNP; N terminal pro BNP.

* References on biomarker’s correspond to the findings of the included studies.

Also, preeclamptic and/or fetal growth-restricted pregnancies presented with indications of fetal cardiac remodeling and cardiac dysfunction manifested by increased MPI and cord TnI concentrations. Reference Youssef, Miranda and Paules47 Thus, cTnI constitutes a valuable predictor of hypertrophic cardiomyopathy and/or left ventricular dysfunction. Reference Korraa, Ezzat and Bastawy46

Troponin T (TnT)

Serum cardiac troponin T (cTnT) is considered as a good marker of myocardial injury in conditions such as perinatal asphyxia. CTnT levels are higher in premature infants with respiratory distress syndrome, in macrosomic infants, and infants from pregnancies with GDM and pregestational DM I, II. Reference El-Khuffash, Davis and Walsh48,Reference Mert, Satar and Özbarlas49 At the same time, cTnT levels presented an inverse correlation between cTnT and echocardiographic markers of myocardial function and stroke volume. No gender-based influences were noticed. Reference El-Khuffash, Davis and Walsh48 Elevated cTnT values were found in fetuses with a reversed end-diastolic flow (AREDV) in the umbilical artery. AREDV in the umbilical arteries and ductus venosus pulsatility index for veins were characterized as independent variables associated with abnormal cTnT levels. Severe cardiac compromise, with increased systemic venous pressure, and a rise in right ventricular afterload in the cases of the third group are demonstrated by myocardial damage and elevated fetal cTnT. Reference Nomura, Cabar and Costa50 A possible diagnostic value of cTnT in young children with suspected myocardial injury is supported by studies that pointed out neonatal high levels of cTnT in accordance with congestive heart failure Reference Panteghini, Agnoletti and Pagani51 (Table 2).

Natriuretic peptides

BNP, NTpBNP

Brain natriuretic peptide (BNP) and biologically inactive n-terminal pro brain natriuretic peptide (NTpBNP) are structurally related. They are released by the stressed myocardium in response to volume and pressure loading. Reference Crispi, Hernandez-Andrade and Pelsers22 In a group of full-term AGA neonates, NTproBNP presented a peak in the first 24 hours postpartum. Reference Iacovidou, Briana and Boutsikou52 They presented an inverse association with gestational age, and they were significantly higher in IUGR fetuses with early signs of impaired cardiac function. Reference Crispi, Hernandez-Andrade and Pelsers22 Also, a significant correlation with uterine artery mean performance index z-score, arterial cord pH, and an adverse perinatal outcome was present. BNP levels have shown a progressive increase across severity groups with a significant increase in IUGR cases. Reference Crispi, Hernandez-Andrade and Pelsers22,Reference Perez-Cruz, Crispi and Fernández30,Reference Blohm, Arndt and Sandig44 They were also found raised among cases of IUGR and preeclampsia as well. Reference Youssef, Miranda and Paules47 NTpBNP concentrations presented higher among infants with respiratory distress, macrosomic infants, or IDMs. Also, NTpBNP correlated significantly with left atrial to aortic root ratio, indicating its value as a marker of ventricular volume loading. Reference El-Khuffash, Davis and Walsh48,Reference Mert, Satar and Özbarlas49 Therefore, these molecules could have a role in effective screening in circumstances where echocardiography means are limited (Table 2).

Additional markers of myocardial function

Heart fatty acid-binding protein (H-FABP) is a novel biochemical marker with a high sensitivity to detect myocardial cell damage. H-FABP concentrations were significantly higher in IUGR fetuses at stage 3 together with a significant linear increment across severity stages. Reference Crispi, Hernandez-Andrade and Pelsers22 Other biomarkers such as Midregional pro-adrenomedullin (MRproADM), mid regional-pro atrial natriuretic peptide (MRproANP), and copeptin, Fetal MRproANP was inversely correlated with gestational age, possibly as a physiological response to the requirements during the progress of the pregnancy. Fetal copeptin was increased in association to labor, and fetal MRproADM was not affected by GA. Reference Blohm, Arndt and Sandig44

Additional potential markers of CVD

Vitamin D

Interestingly, there is a possible relationship between insufficient vitamin D concentrations and the pathogenesis of early atherosclerotic CVD. Reference Sauder, Stamatoiu, Leshchinskaya, Ringham, Glueck and Dabelea53,Reference Arman and Çetiner54 25-dihydroxy vitamin D (25OHD) concentrations range from 17 to 34 ng/ml. Reference Adeli, Higgins, Trajcevski and White-Al Habeeb55 25OHD levels in cord blood and are inversely associated with childhood systolic and diastolic blood pressure. Additionally, neonates with sufficient levels of 25OHD had a significantly lower aIMT than the other 25OHD deficiency groups, suggesting that vitamin D deficiency may induce atherosclerotic changes in vascular structure in term healthy infants. Reference Sauder, Stamatoiu, Leshchinskaya, Ringham, Glueck and Dabelea53,Reference Arman and Çetiner54 These formulate a possible protective role of this molecule against CVD risk.

Other potential CVD biomarkers

Placental 11b-hydroxysteroid dehydrogenase 2 (11b-HSD2) has been negatively correlated with HOMA-IR and fasting insulin and presented a negative association with SBP in one year of age. At the same age, cord cortisol presented a single negative correlation with skinfold thickness which could positively contribute to metabolic health in postnatal life. Cord cortisol and 11b-HSD2 values were unaffected from male or female sex. Reference Chen, Guilmette and Luo56 Further data revealed higher Osteoprotegerin and lower Receptor activator of nuclear factor kappa-B ligand levels in newborns of pre-eclamptic pregnancies. Preeclampsia appeared as an important determinant of osteoprotegerin levels and an independent predictor of increased neonatal blood pressure. Osteoprotegerin levels were also significantly associated with increased diastolic blood pressure. Reference Oikonomou, Papadopoulou and Fouzas57 Concerning serum minerals, neonates within the highest quartile for Mg displayed higher levels of LDL and homocysteine. Newborns with a high Ca/Mg ratio showed low levels of insulin. Reference Ziniewicz, Gesteiro and González-Muñoz58 Urinary proteomics revealed that among the most abundant proteins in preterm were retinol-binding protein, plasma protease C1 inhibitor, antithrombin-III, and angiotensinogen. These upregulated elements are suggestive of higher CVD risk. Reference Cabral, Soares and Guimarães59 Prematurity was also associated with hypoproteinemia mediated impaired cardiovascular function and an “anti-angiogenic” status established by the downregulation of proangiogenic factors, angio-MiRs (inter alia MiR-125, MiR-126, MiR-145, MiR-150, or MiR155) and the upregulation of angiostatic factors endostatin and thrombospondin-2. Reference Bonsante, Ramful and Samperiz60,Reference Gródecka-Szwajkiewicz, Ulańczyk and Zagrodnik61 Serum proteomics have shown that the state of IUGR alters the expression of proteins such as lysophospholipid acyltransferase MBOAT7, serotransferrins, apolipoprotein E, apolipoprotein A-I, SERPIN1, with a known contribution to CVD pathways such as apoptosis, diabetes, dyslipidemia, inflammation, and arterial hypertension. Reference Ruis-González, Cañete, Gómez-Chaparro, Abril, Cañete and López-Barea62 Concerning IUGR, renin, and angiotensin I levels were significantly elevated as well as systolic blood pressure and prolonged mean left ventricular isovolumic relaxation time. Reference Tsyvian, Markova, Mikhailova, Hop and Wladimiroff63 Concerning the peptidome profile of fetal GDM-induced macrosomia, various upregulated peptides play a key role in the regulation of lipids. Reference Liu, Zhao, Liu, Ding, Huo and Shi64 Downregulation of BCL2 genes and miR-181a molecules with a role in obesity, anti-inflammatory, and antioxidant pathways in infants of GDM pregnancies could pose as potential biomarkers for childhood obesity. Reference Marcondes, Andrade, Sávio, Silveira, Rudge and Salvadori65 Further findings suggest an upregulated expression of the cardiac biomarkers cardiotrophin 1 and titin in LGA infants and especially in the GDM subgroup. Reference Briana, Germanou and Boutsikou66 Ultimately oxidant/antioxidant balance is disturbed in favor of oxidants in IDMs presenting with significantly higher total antioxidant capacity, total oxidant status, and oxidative stress index. The extent of oxidative stress is directly associated to the severity of myocardial and hematological involvement in IDMs in the first days of life. Reference Topcuoglu, Karatekin and Yavuz67

Pregnancy conditions impact CVD biomarkers

As for the maternal compartment during pregnancy, preeclampsia and GDM seem to significantly affect CVD biomarkers of the neonate and the cardiovascular health of the offspring in later life. Preeclampsia can lead to prematurity and growth restriction, conditions already associated with CVD and has been associated with hypertension in adolescence. Reference Bokslag, van Weissenbruch, Mol and de Groot68,Reference Higgins, Bonnar, Norris, Darling and Walshe69 The CVD effects of preeclamptic pregnancies on the neonate are further supported by metabolomics which reveal alterations in molecules involved in kidney function, in the metabolism of lipids and in vascular health. These include molecules such as creatinine, uric acid, N4-acetylcytidine, pseudouridine, carnitine, and sphingolipid metabolism, respectively. Reference Wang, Liu, Hui and Song70 Offspring of GDM pregnancies display deviant triglyceride and lipoprotein constituents and a possible predisposition for obesity as well as increased cord VEGF levels indicative of altered development of the vascular system. Reference Algaba-Chueca, Maymó-Masip and Ballesteros71,Reference Lassus, Teramo, Nupponen, Markkanen, Cederqvist and Andersson72 SGA infants of GDM pregnancies presented increased levels of LDL-C, growth hormone, and fibrinogen and decreased levels of HDL-C and ApoA suggesting diminished antioxidative particle properties and a proneness of developing IR in the future. Reference Chen, Yang, Huang, Zhang, Yao, Liang and Zhou73 IDMs have also showed greater intraventricular dimensions, thickening of the right ventricular wall, and impaired systolic and diastolic function of the myocardium even in cases with good glycemic control. Reference Wang, Xu, Fu and Huang74,Reference Kozák-Bárány, Jokinen, Kero, Tuominen, Rönnemaa and Välimäki75

Biomarkers’ contribution on CVD

Appreciating the concept of a potential CVD biomarker, especially in the neonatal period, requires understanding of its role to CVD as a molecule. Adipokine imbalance affects lipid and glucose metabolism, satiety, inflammation, vascular health, and blood pressure. Reference Steinberger, Daniels and Eckel2,Reference Balagopal, De Ferranti and Cook7 Adiponectin has anti-inflammatory and insulin-sensitizing properties, and leptin affects energy balance, adiposity accumulation, and appetite, acting in the level of hypothalamus. Reference Aydin, Eser and Kaygusuz10,Reference Cekmez, Canpolat and Pirgon11,Reference Vasileios, Eleni, Anna, Dimitrios, Aikaterini and Styliani76 Inflammation affects the atherosclerotic process. CRP relates with complement binding, increase of adhesion molecules and thrombotic factors, and decrease of vasodilating molecules. Data also indicate a possible association of the intrauterine inflammatory status with sympathetic system hyperactivity and stress response in childhood. Reference Balagopal, De Ferranti and Cook7,Reference Trevisanuto, Avezzù and Cavallin20 IL-6 and TNF-a derive from adipose tissue, stimulating CRP production from the liver. TNF-a stimulates the production of molecules such as ICAM-1 that favor the adhesion of leucocytes to the endothelium, promoting atherosclerosis. Reference Balagopal, De Ferranti and Cook7 Homocysteine exerts several toxic effects, including injury on the vascular endothelial cells. The fetal endothelium may be more vulnerable; therefore, moderate increase of tHcys could lead to endothelial damage. Reference Ophir, Dourleshter and Hirsh29,Reference Perez-Cruz, Crispi and Fernández30 Vitamin D benefits vascular homeostasis by attenuating oxidative stress and vasoconstriction. Reference Arman and Çetiner54 A possible association of Vitamin D with β-cell function and IR is being investigated. Reference Giapros, Challa, Cholevas, Evagelidou, Bairaktari and Andronikou77 Dysregulation of adiposity and oxidative stress promote IR. IR stimulates vascular pathology through various biochemical pathways, thrombotic factors, mitogenesis, and the release of molecules such as endothelin-1, and platelet-derived growth factor. Reference Balagopal, De Ferranti and Cook7 Hyperglycemia promotes the production of reactive oxygen species, and glycation products and attenuates the vasodilating properties of insulin mediating endothelial damage. Reference López Morales, Brito Zurita and González Heredia23 Lipid imbalance can result in a continuous inflammatory process of the vascular wall in accordance with altered immune response and genetic factors, leading to CVD. Reference Steinberger, Daniels and Eckel2 PCSK9 mediates the increase of circulating LDL through promoting the degradation of the LDL receptor in hepatocytes. Troponins restrain the ATPase activity of actomyosin, leading to muscle relaxation. They increase in heart conditions following insufficient oxygen or blood supply to the heart muscle. Reference Blohm, Arndt and Sandig44 BNP derives from the ventricles increasing in response to volume overload, hypoxia, and subclinical diastolic dysfunction. Reference Crispi, Hernandez-Andrade and Pelsers22 These infantile aberrations possibly include atherosclerotic and cardiovascular consequences in the future.

Reaching clinical relevance

Even though the number of molecules associated to the various aspects of CVD is very wide, very few have reached everyday clinical practice regarding the neonatal population. Optimization of cardiovascular health in younger ages requires better understanding of the role and the pathophysiological mechanisms of each possible biomarker, as in this age spectrum CVD is subclinical and our current diagnostic methods are not able to detect it. Some biomarkers are studied more frequently in terms of biological function leaving the field for novel ones quite unexplored. Thus, the need for longitudinal rather than for cross-sectional assessment is well appreciated. Biomarkers should be assessed early and repeatedly and should be linked to future already calibrated risk factors and characteristics of CVD. Those parameters should provide clinical utility. In this frame, establishment of age and gender-based reference values for each biomarker becomes essential. Very few biomarkers were identified with established percentile or reference ranges and are reported in Tables 1 and 2. From the studied literature, not all studies investigated the influence of gender on the biomarkers. Further research on this field in the future would support the tendency of a more personalized approach of health and disease. However, due to the limited data available in the neonatal population, and the long-term nature of the follow-up needed, the cost–benefit ratio and safety parameters become primary considerations. Therefore, for most of the biomarkers studied in this population, the transition from laboratory or clinical research to everyday clinical practice poses a considerable challenge.

Conclusions

Further research is carried out in order to investigate these pathophysiological processes, risk factors, and biomarkers, which contribute to different aspects of CVD and have the potential to aid in its prediction, identification, and assessment. Crucial seems the role of adiposity imbalance with adiponectin and leptin contributing to IR, body composition, lipid profile, and obesity. Also, inflammation seems a strong mediator of CVD, associated with prematurity, and birth weight. It can lead to CVD through different pathways such as sympathetic system hyperactivity and stress response during childhood, impaired vascular health, vasoconstriction, IR, and adiposity. Altered lipid metabolism can lead to a chronic inflammatory process of the arterial wall and seems to correlate with fetal growth, birth weight, body composition, and maternal metabolic characteristics. Female sex appears to associate with a more atheroprotective cardiometabolic profile. However, more research is needed for the establishment of the possible gender specificity of the fetal and neonatal cardiometabolic environment or the possible benefits of gender-specific approaches on treatments in the future. Gestational age, GDM, preeclampsia, and fetal growth seem to also affect parameters of myocardial function that could serve as early estimates of myocardial health. Considering the long-term CVD risk assessment, plenty of novel biomarkers are being studied and new methods such as proteomics or genomics are being introduced enabling biomedical community to customize preventive practices according to the relative risk for CVD.

Acknowledgments

None.

Financial support

This research received no specific grant from any funding agency, commercial, or not-for-profit sectors.

Conflict of interest

None.

References

Ford, ES, Li, C, Zhao, G, Pearson, WS, Capewell, S. Trends in the prevalence of low risk factor burden for cardiovascular disease among United States adults. Circulation. 2009; 120(13), 11811188.10.1161/CIRCULATIONAHA.108.835728CrossRefGoogle ScholarPubMed
Steinberger, J, Daniels, SR, Eckel, RH, et al. Progress and challenges in metabolic syndrome in children and adolescents: a scientific statement from the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism. Circulation. 2009; 119(4), 628647.10.1161/CIRCULATIONAHA.108.191394CrossRefGoogle Scholar
Kuhle, S, Maguire, B, Ata, N, MacInnis, N, Dodds, L. Birth weight for gestational age, anthropometric measures, and cardiovascular disease markers in children. J Pediatrics. 2017; 182(Suppl 2), 99106.10.1016/j.jpeds.2016.11.067CrossRefGoogle ScholarPubMed
Barker, DJ. The developmental origins of adult disease. J Am Coll Nutr. 2004; 23(6 Suppl), 588s595s.10.1080/07315724.2004.10719428CrossRefGoogle ScholarPubMed
Beune, IM, Bloomfield, FH, Ganzevoort, W, et al. Consensus based definition of growth restriction in the newborn. J Pediatrics. 2018; 196, 7176.10.1016/j.jpeds.2017.12.059CrossRefGoogle ScholarPubMed
Liang, J, Xu, C, Liu, Q, et al. Association between birth weight and risk of cardiovascular disease: evidence from UK biobank. Nutrition, metabolism, and cardiovascular diseases : NMCD. 2021; 31(9), 26372643.10.1016/j.numecd.2021.05.017CrossRefGoogle ScholarPubMed
Balagopal, PB, De Ferranti, SD, Cook, S, et al. Nontraditional risk factors and biomarkers for cardiovascular disease: mechanistic, research, and clinical considerations for youth: a scientific statement from the American Heart Association. Circulation. 2011; 123(23), 27492769.10.1161/CIR.0b013e31821c7c64CrossRefGoogle ScholarPubMed
Buchan, DS, Boddy, LM, Despres, JP, et al. Utility of the hypertriglyceridemic waist phenotype in the cardiometabolic risk assessment of youth stratified by body mass index. Pediatric Obesity. 2016; 11(4), 292298.10.1111/ijpo.12061CrossRefGoogle ScholarPubMed
Sivan, E, Mazaki-Tovi, S, Pariente, C, et al. Adiponectin in human cord blood: relation to fetal birth weight and gender. J Clin Endocrinol Metab. 2003; 88(12), 56565660.10.1210/jc.2003-031174CrossRefGoogle ScholarPubMed
Aydin, H, Eser, A, Kaygusuz, I, et al. Adipokine, adropin and endothelin-1 levels in intrauterine growth restricted neonates and their mothers. J Perinat Med. 2016; 44(6), 669676.CrossRefGoogle ScholarPubMed
Cekmez, F, Canpolat, F, Pirgon, O, et al. Adiponectin and visfatin levels in extremely low birth weight infants; they are also at risk for insulin resistance. Eur Rev Med Pharmacol Sci. 2013; 17(4), 501506.Google ScholarPubMed
Simón-Muela, I, Näf, S, Ballesteros, M, et al. Gender determines the actions of adiponectin multimers on fetal growth and adiposity. Am J Obstet Gynecol. 2013; 208(6), e481e487.10.1016/j.ajog.2013.02.045CrossRefGoogle ScholarPubMed
Minatoya, M, Araki, A, Miyashita, C, et al. Prenatal di-2-ethylhexyl phthalate exposure and cord blood adipokine levels and birth size: the Hokkaido study on environment and children’s health.. Sci Total Environ. 2017; 579, 606611.CrossRefGoogle Scholar
Patel, N, Hellmuth, C, Uhl, O, et al. Cord metabolic profiles in obese pregnant women: insights into offspring growth and body composition. J Clin Endocrinol Metab. 2018; 103(1), 346355.CrossRefGoogle ScholarPubMed
Li, L, Rifas-Shiman, S, Aris, I, et al. Leptin trajectories from birth to mid-childhood and cardio-metabolic health in early adolescence.. Metabolism. 2019; 91, 3038.10.1016/j.metabol.2018.11.003CrossRefGoogle ScholarPubMed
Matsuda, J, Yokota, I, Iida, M, et al. Dynamic changes in serum leptin concentrations during the fetal and neonatal periods. Pediatric Res. 1999; 45(1), 7175.10.1203/00006450-199901000-00012CrossRefGoogle ScholarPubMed
Cade, W, Levy, P, Tinius, R, et al. Markers of maternal and infant metabolism are associated with ventricular dysfunction in infants of obese women with type 2 diabetes. Pediatr Res. 2017; 82(5), 768775.10.1038/pr.2017.140CrossRefGoogle ScholarPubMed
Rallis, D, Balomenou, F, Kappatou, K, et al. C-reactive protein in infants with no evidence of early-onset sepsis. J Matern-Fetal Neonatal Med. 2021; 41(9), 18.Google Scholar
Trevisanuto, D, Doglioni, N, Altinier, S, Zaninotto, M, Plebani, M, Zanardo, V. High-sensitivity C-reactive protein in umbilical cord of small-for-gestational-age neonates. Neonatology. 2007; 91(3), 186189.CrossRefGoogle ScholarPubMed
Trevisanuto, D, Avezzù, F, Cavallin, F, et al. Arterial wall thickness and blood pressure in children who were born small for gestational age: correlation with umbilical cord high-sensitivity C-reactive protein.. Arch Dis Child. 2010; 95(1), 3134.CrossRefGoogle ScholarPubMed
Rafferty, A, Mcgrory, L, Cheung, M, et al. Inflammation, lipids and aortic intima-media thickness in newborns following chorioamnionitis. Acta Paediatr. 2016; 105(7), e300306.10.1111/apa.13410CrossRefGoogle ScholarPubMed
Crispi, F, Hernandez-Andrade, E, Pelsers, MMAL, et al. Cardiac dysfunction and cell damage across clinical stages of severity in growth-restricted fetuses. Am J Obstet Gynecol. 2008; 199(3), e251e258.10.1016/j.ajog.2008.06.056CrossRefGoogle ScholarPubMed
López Morales, CM, Brito Zurita, OR, González Heredia, R, et al. Placental atherosclerosis and markers of endothelial dysfunction in infants born to mothers with gestational diabetes.. Med Clin (Barc). 2016; 147(3), 95100.10.1016/j.medcli.2016.03.031CrossRefGoogle ScholarPubMed
Boon, MR, Karamali, NS, De Groot, CJM, et al. E-Selectin is elevated in cord blood of South Asian neonates compared with caucasian neonates.. J Pediatr. 2012; 160(5), 844848.10.1016/j.jpeds.2011.11.025CrossRefGoogle ScholarPubMed
Chiesa, C, Pacifico, L, Natale, F, et al. Fetal and early neonatal interleukin-6 response. Cytokine. 2015; 76(1), 112.10.1016/j.cyto.2015.03.015CrossRefGoogle ScholarPubMed
Kim, S-M, Lee, SM, Kim, S-J, et al. Cord and maternal sera from small neonates share dysfunctional lipoproteins with proatherogenic properties: evidence for Barker’s hypothesis.. J Clin Lipidol. 2017; 11(6), 13181328.CrossRefGoogle ScholarPubMed
Leduc, L, Delvin, E, Ouellet, A, et al. Oxidized low-density lipoproteins in cord blood from neonates with intra-uterine growth restriction. Eur J Obstet Gynecol Reprod Biol. 2011; 156(1), 4649.10.1016/j.ejogrb.2011.01.007CrossRefGoogle ScholarPubMed
Pac-Kozuchowska, E, Krawiec, P, Grywalska, E. Selected risk factors for atherosclerosis in children and their parents with positive family history of premature cardiovascular diseases: a prospective study. BMC Pediatr. 2018; 18(1), 123.CrossRefGoogle ScholarPubMed
Ophir, E, Dourleshter, G, Hirsh, Y, et al. Newborns of pre-eclamptic women: a biochemical difference present in utero. 2006, 85(10):11721178.Google Scholar
Perez-Cruz, M, Crispi, F, Fernández, M, et al. Cord blood biomarkers of cardiac dysfunction and damage in term growth-restricted fetuses classified by severity criteria. Fetal Diagn Ther. 2018; 44(4), 271276.10.1159/000484315CrossRefGoogle ScholarPubMed
Gesteiro, E, Sánchez-Muniz, F, Ortega-Azorín, C, Guillén, M, Corella, D, Bastida, S. Maternal and neonatal FTO rs9939609 polymorphism affect insulin sensitivity markers and lipoprotein profile at birth in appropriate-for-gestational-age term neonates. J Physiol Biochem. 2016; 72, 169181.CrossRefGoogle ScholarPubMed
Alonso-Larruscain, I, Ruibal Francisco, J, Granizo Martínez, J, et al. Early markers of endocrinometabolic disease in newborns with delayed intrauterine growth.. Clin Nutr ESPEN. 2019; 34, 3744.CrossRefGoogle ScholarPubMed
Pate, LN, Hellmuth, C, Uhl, O, et al. Cord metabolic profiles in obese pregnant women: insights into offspring growth and body composition.. J Clin Endocrinol Metab. 2018; 103(1), 346355.10.1210/jc.2017-00876CrossRefGoogle Scholar
Simental-Mendía, LE, Castañeda-Chacón, A, Rodríguez-Morán, M, et al. Birth-weight, insulin levels, and HOMA-IR in newborns at term. BMC Pediatr. 2012; 12(1), 94.10.1186/1471-2431-12-94CrossRefGoogle ScholarPubMed
Gandhi, K. Approach to hypoglycemia in infants and children. Transl Pediatr. 2017; 6(4), 408420.10.21037/tp.2017.10.05CrossRefGoogle ScholarPubMed
Lee, I, Barr, E, Longmore, D, et al. Cord blood metabolic markers are strong mediators of the effect of maternal adiposity on fetal growth in pregnancies across the glucose tolerance spectrum: the PANDORA study. Diabetologia. 2020; 63(3), 497507.10.1007/s00125-019-05079-2CrossRefGoogle ScholarPubMed
Kumar, A, Pandit, K, Chatterjee, P, Mukhopadhyay, P, Ghosh, S. Lipid profile in infant. Indian J Endocrinol Metab. 2021; 25(1), 2022.Google ScholarPubMed
Kwiterovich, PJ, Cockrill, S, Virgil, D, et al. A large high-density lipoprotein enriched in apolipoprotein C-I: a novel biochemical marker in infants of lower birth weight and younger gestational age.. JAMA. 2005; 293(15), 18911899.CrossRefGoogle ScholarPubMed
Oʼtierney-Ginn, P, Davina, D, Gillingham, M, et al. Neonatal fatty acid profiles are correlated with infant growth measures at 6 months.. J Dev Orig Health Dis. 2017; 8(4), 474482.CrossRefGoogle ScholarPubMed
Pardo, I, Geloneze, B, Tambascia, M, Barros-Filho, AA. Atherogenic lipid profile of Brazilian near-term newborns.. Braz J Med Biol Res. 2005; 38(5), 755760.10.1590/S0100-879X2005000500013CrossRefGoogle ScholarPubMed
Sreckovic, I, Birner-Gruenberger, R, Besenboeck, C, et al. Gestational diabetes mellitus modulates neonatal high-density lipoprotein composition and its functional heterogeneity.. Biochim Biophys Acta. 2014; 1841(11), 16191627.CrossRefGoogle ScholarPubMed
Pecks, U, Rath, W, Maass, N, et al. Fetal gender and gestational age differentially affect PCSK9 levels in intrauterine growth restriction. Lipids Health Dis. 2016; 15(1), 193.CrossRefGoogle ScholarPubMed
Araki, S, Suga, S, Miyake, F, et al. Circulating PCSK9 levels correlate with the serum LDL cholesterol level in newborn infants. Early Human Dev. 2014; 90(10), 607611.10.1016/j.earlhumdev.2014.07.013CrossRefGoogle ScholarPubMed
Blohm, M, Arndt, F, Sandig, J, et al. Cardiovascular biomarkers in paired maternal and umbilical cord blood samples at term and near term delivery. Early Hum Dev. 2016; 94, 712.CrossRefGoogle ScholarPubMed
Clerico, A, Aimo, A, Cantinotti, M. High-sensitivity cardiac troponins in pediatric population. Clin Chem Lab Med. 2022; 60(1), 1832.CrossRefGoogle ScholarPubMed
Korraa, A, Ezzat, M, Bastawy, M, et al. Cardiac troponin I levels and its relation to echocardiographic findings in infants of diabetic mothers. Ital J Pediatr. 2012; 38, 39.10.1186/1824-7288-38-39CrossRefGoogle ScholarPubMed
Youssef, L, Miranda, J, Paules, C, et al. Fetal cardiac remodeling and dysfunction is associated with both preeclampsia and fetal growth restriction. Am J Obstet Gynecol. 2020; 222(1), e71e79.10.1016/j.ajog.2019.07.025CrossRefGoogle ScholarPubMed
El-Khuffash, A, Davis, P, Walsh, K, et al. Cardiac troponin T and N-terminal-pro-B type natriuretic peptide reflect myocardial function in preterm infants.. J Perinatol. 2008; 28(7), 482486.10.1038/jp.2008.21CrossRefGoogle ScholarPubMed
Mert, M, Satar, M, Özbarlas, N, et al. Troponin T and NT ProBNP levels in gestational, type 1 and type 2 diabetic mothers and macrosomic infants. Pediatr Cardiol. 2016; 37(1), 7683.10.1007/s00246-015-1242-1CrossRefGoogle ScholarPubMed
Nomura, R, Cabar, F, Costa, V, et al. Cardiac troponin T as a biochemical marker of cardiac dysfunction and ductus venosus Doppler velocimetry.. Eur J Obstet Gynecol Reprod Biol. 2009; 147(1), 3336.10.1016/j.ejogrb.2009.06.029CrossRefGoogle ScholarPubMed
Panteghini, M, Agnoletti, G, Pagani, F, et al. Cardiac troponin T in serum as marker for myocardial injury in newborns. Clin Chem. 1997; 43(8), 14551457.CrossRefGoogle ScholarPubMed
Iacovidou, N, Briana, DD, Boutsikou, M, et al. Perinatal changes of circulating N-terminal pro B-type natriuretic peptide (NT-proBNP) in normal and intrauterine-growth-restricted pregnancies. Hypertens Pregnancy. 2007; 26(4), 463471.10.1080/10641950701548414CrossRefGoogle ScholarPubMed
Sauder, K, Stamatoiu, A, Leshchinskaya, E, Ringham, BM, Glueck, DH, Dabelea, D. Cord blood vitamin D levels and early childhood blood pressure: the healthy start study. J Am Heart Assoc. 2019; 8(9), e011485.CrossRefGoogle ScholarPubMed
Arman, D, Çetiner, Z. The relationship between serum vitamin D levels and intima-media thickness in term infants. Eur J Pediatr. 2019; 178(7), 10871093.10.1007/s00431-019-03389-6CrossRefGoogle ScholarPubMed
Adeli, K, Higgins, V, Trajcevski, K, White-Al Habeeb, N. The Canadian laboratory initiative on pediatric reference intervals: a CALIPER white paper. Crit Rev Clin Lab Sci. 2017; 54(6), 358413.CrossRefGoogle ScholarPubMed
Chen, L, Guilmette, J, Luo, Z, et al. Placental 11β-HSD2 and cardiometabolic health indicators in infancy.. Diabetes Care. 2019; 42(5), 964971.10.2337/dc18-2041CrossRefGoogle ScholarPubMed
Oikonomou, N, Papadopoulou, C, Fouzas, S, et al. Osteoprotegerin and RANKL serum concentrations in neonates of mothers with early-onset pre-eclampsia: comparison with neonates of normotensive mothers.. Early Hum Dev. 2019; 135, 15.10.1016/j.earlhumdev.2019.06.001CrossRefGoogle ScholarPubMed
Ziniewicz, H, Gesteiro, E, González-Muñoz, M, et al. Relationships between serum calcium and magnesium levels and lipoproteins, homocysteine and insulin resistance/sensitivity markers at birth.. Nutr Hosp. 2014; 31(1), 278285.Google ScholarPubMed
Cabral, E, Soares, H, Guimarães, H, et al. Prediction of cardiovascular risk in preterm neonates through urinary proteomics: an exploratory study.. Porto Biomed J. 2017; 2(6), 287292.CrossRefGoogle ScholarPubMed
Bonsante, F, Ramful, D, Samperiz, S, et al. Low plasma protein levels at birth are associated with poor cardiovascular adaptation and serious adverse outcome in infants with gestational age <32 weeks: the ProHémie study.. Neonatology. 2017; 112(2), 114121.CrossRefGoogle ScholarPubMed
Gródecka-Szwajkiewicz, D, Ulańczyk, Z, Zagrodnik, E, et al. Differential secretion of angiopoietic factors and expression of microRNA in umbilical cord blood from healthy appropriate-for-gestational-age preterm and term newborns-in search of biomarkers of angiogenesis-related processes in preterm birth. Int J Mol Sci. 2020; 21(4).CrossRefGoogle ScholarPubMed
Ruis-González, MD, Cañete, MD, Gómez-Chaparro, JL, Abril, N, Cañete, R, López-Barea, J. Alterations of protein expression in serum of infants with intrauterine growth restriction and different gestational ages.. J Proteomics. 2015; 119, 169182.10.1016/j.jprot.2015.02.003CrossRefGoogle ScholarPubMed
Tsyvian, P, Markova, T, Mikhailova, S, Hop, WCJ, Wladimiroff, JW. Left ventricular isovolumic relaxation and renin-angiotensin system in the growth restricted fetus. Eur J Obstet Gynecol Reprod Biol. 2008; 140(1), 3337.CrossRefGoogle ScholarPubMed
Liu, F, Zhao, C, Liu, L, Ding, H, Huo, R, Shi, Z. Peptidome profiling of umbilical cord plasma associated with gestational diabetes-induced fetal macrosomia. J Proteomics. 2016; 139, 3844.CrossRefGoogle ScholarPubMed
Marcondes, JPDC, Andrade, PFB, Sávio, ALV, Silveira, MAD, Rudge, MVC, Salvadori, DMF. BCL2 and miR-181a transcriptional alterations in umbilical-cord blood cells can be putative biomarkers for obesity. Mutat Res Genet Toxicol Environ Mutagen. 2018; 836, 9096.10.1016/j.mrgentox.2018.06.009CrossRefGoogle ScholarPubMed
Briana, D, Germanou, K, Boutsikou, M, et al. Potential prognostic biomarkers of cardiovascular disease in fetal macrosomia: the impact of gestational diabetes. J Matern Fetal Neonatal Med. 2018; 31(7), 895900.CrossRefGoogle ScholarPubMed
Topcuoglu, S, Karatekin, G, Yavuz, T, et al. The relationship between the oxidative stress and the cardiac hypertrophy in infants of diabetic mothers.. Diabetes Res Clin Pract. 2015; 109(1), 104109.10.1016/j.diabres.2015.04.022CrossRefGoogle ScholarPubMed
Bokslag, A, van Weissenbruch, M, Mol, BW, de Groot, CJM. Preeclampsia; short and long-term consequences for mother and neonate. Early Human Dev. 2016; 102(2), 4750.CrossRefGoogle Scholar
Higgins, JR, Bonnar, J, Norris, LA, Darling, MRN, Walshe, JJ. The effect of pre-eclampsia on coagulation and fibrinolytic activation in the neonate. Thromb Res. 2000; 99(6), 567570.CrossRefGoogle ScholarPubMed
Wang, X, Liu, J, Hui, X, Song, Y. Metabolomics applied to cord serum in preeclampsia newborns: implications for neonatal outcomes. Front Pediatr. 2022; 10, 869381.10.3389/fped.2022.869381CrossRefGoogle ScholarPubMed
Algaba-Chueca, F, Maymó-Masip, E, Ballesteros, M, et al. Cord blood advanced lipoprotein testing reveals an interaction between gestational diabetes and birth-weight and suggests a new early biomarker of infant obesity. Biomedicines. 2022; 10(5), 1033.CrossRefGoogle ScholarPubMed
Lassus, P, Teramo, K, Nupponen, I, Markkanen, H, Cederqvist, K, Andersson, S. Vascular endothelial growth factor and angiogenin levels during fetal development and in maternal diabetes. Biol Neonate. 2003; 84(4), 287292.10.1159/000073636CrossRefGoogle ScholarPubMed
Chen, J, Yang, X, Huang, L, Zhang, Z, Yao, J, Liang, H, Zhou, W. Insulin resistance biomarkers in small-for-gestational-age infants born to mothers with gestational diabetes mellitus. J Mater-Fetal Neonatal Med. 2021; 40(2), 15.Google Scholar
Wang, H, Xu, Y, Fu, J, Huang, L. Evaluation of the regional ventricular systolic function by two-dimensional strain echocardiography in gestational diabetes mellitus (GDM) fetuses with good glycemic control. J Mater-Fetal Neonatal Med. 2015; 28(18), 21502154.10.3109/14767058.2014.984290CrossRefGoogle ScholarPubMed
Kozák-Bárány, A, Jokinen, E, Kero, P, Tuominen, J, Rönnemaa, T, Välimäki, I. Impaired left ventricular diastolic function in newborn infants of mothers with pregestational or gestational diabetes with good glycemic control. Early Hum Dev. 2004; 77(1-2), 1322.CrossRefGoogle ScholarPubMed
Vasileios, G, Eleni, E, Anna, C, Dimitrios, K, Aikaterini, D, Styliani, A. Serum adiponectin and leptin levels and insulin resistance in children born large for gestational age are affected by the degree of overweight. Clin Endocrinol. 2007; 66(3), 353359.CrossRefGoogle Scholar
Giapros, VI, Challa, AS, Cholevas, VL, Evagelidou, EN, Bairaktari, ET, Andronikou, SK. Vitamin D levels and insulin resistance in children born with severe growth restriction. Horm Metab Res., 2013, 45(3):226230.Google ScholarPubMed
Kotani, Y, Yokota, I, Kitamura, S, Matsuda, J, Naito, E, Kuroda, Y. Plasma adiponectin levels in newborns are higher than those in adults and positively correlated with birth weight. Clin Endocrinol. 2004; 61(4), 418423.CrossRefGoogle ScholarPubMed
Savino, F, Rossi, L, Benetti, S, et al. Serum reference values for leptin in healthy infants. PloS One. 2014; 9(11), e113024.CrossRefGoogle ScholarPubMed
Barug, D, Goorden, S, Herruer, M, et al. Reference values for interleukin-6 and interleukin-8 in cord blood of healthy term neonates and their association with stress-related perinatal factors. PloS One. 2014; 9(12), e114109.CrossRefGoogle ScholarPubMed
Berdat, PA, Wehrle, TJ, Küng, A, et al. Age-specific analysis of normal cytokine levels in healthy infants. Clin Chem Lab Med. 2003; 41(10), 13351339.10.1515/CCLM.2003.204CrossRefGoogle ScholarPubMed
Refsum, H, Grindflek, AW, Ueland, PM, et al. Screening for serum total homocysteine in newborn children. Clin Chem. 2004; 50(10), 17691784.10.1373/clinchem.2004.036194CrossRefGoogle ScholarPubMed
National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics. 2011; 128(Suppl 5), S213256.CrossRefGoogle Scholar
Blohm, ME, Arndt, F, Fröschle, GM, et al. Cardiovascular biomarkers in amniotic fluid, umbilical arterial blood, umbilical venous blood, and maternal blood at delivery, and their reference values for full-term, singleton, cesarean deliveries. Front Pediatr. 2019; 7, 271.CrossRefGoogle ScholarPubMed
Baum, Hörg, Hinze, A, Bartels, P, Neumeier, D. Reference values for cardiac troponins T and I in healthy neonates. Clin Biochem. 2004; 37(12), 10791082.10.1016/j.clinbiochem.2004.08.003CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Prisma flow diagram.

Figure 1

Table 1. Frequently studied CVD biomarkers, traditional and novel

Figure 2

Table 2. CVD biomarkers of myocardial function