Abstract
Context
In utero exposure to maternal obesity or diabetes is considered a pro-inflammatory state.
Objective
To evaluate whether cord blood proprotein convertase subtilisin/kexin-type 9 (PCSK9), which is regulated by inflammation and metabolic derangements, is elevated in neonates born to overweight, obese, or diabetic mothers.
Methods
A retrospective study in full-term neonates born between 2010 and 2023, at Brigham and Women's Hospital. There were 116 neonates included in our study, of which 74 (64%) were born to overweight/obese mothers and 42 (36%) were born to nonoverweight/nonobese mothers.
Results
Neonates born to overweight/obese mothers had significantly higher cord blood concentrations of PCSK9 compared with neonates born to nonoverweight/nonobese group (323 [253-442] ng/mL compared with 270 [244-382] ng/mL, P = .041). We found no significant difference in cord blood concentrations of PCSK9 between neonates of diabetic mothers compared with neonates of nondiabetic mothers. In multivariate linear regression analysis, higher cord plasma PCSK9 concentration was significantly associated with maternal overweight/obesity status (b = 50.12; 95% CI, 4.02-96.22; P = .033), after adjusting for gestational age, birth weight, male sex, and intrauterine growth restriction.
Conclusion
Neonates born to mothers with overweight/obesity have higher cord blood PCSK9 concentrations compared with the nonoverweight/nonobese group, and higher cord blood PCSK9 concentrations were significantly associated with maternal overweight/obesity status, after adjusting for perinatal factors. Larger longitudinal studies are needed to examine the role of PCSK9 in the development of metabolic syndrome in high-risk neonates born to overweight, obese, or diabetic mothers.
Keywords: body mass index, cardiovascular disease, gestational diabetes, hypercholesterolemia, metabolic syndrome
In utero exposure to maternal obesity or diabetes is associated with a pro-inflammatory state [1, 2] and increased risk of cardiometabolic diseases in the offspring [3], including obesity, elevated blood pressure, impaired insulin/glucose homeostasis, and abnormal lipid profiles [4-6]. Maternal metabolic changes during pregnancy lead to perturbations in fetal insulin sensitivity, lipid metabolism, and placental energy metabolism [3]. The placenta produces an array of signaling molecules that control crosstalk between the mother and the fetus and regulate the fetal metabolism including lipoprotein homeostasis [7]; however, the mechanisms regulating fetal lipoprotein homeostasis in high-risk pregnancies have not been fully evaluated.
Proprotein convertase subtilisin/kexin type 9 (PCSK9) is primarily derived from hepatocytes; it is also expressed in other tissues such as small intestine, kidney, pancreas, and immune system [8] and binds low-density lipoprotein (LDL) receptors thereby leading to higher serum LDL cholesterol concentrations [9, 10]. The large molecular weight of PCSK9 likely precludes its transplacental transfer, but PCSK9 is detectable in cord blood and may regulate fetal lipid levels [10, 11]. Previous studies showed that PCSK9 concentrations in cord blood or the serum of high-risk neonates (ie, neonates born premature, with intrauterine growth restriction, or small or large for gestational age [GA]) differ significantly compared with neonates born at term, without growth restriction, or with appropriate birth weight for GA [12-14]. However, the impact of maternal overweight/obesity and/or diabetes on the concentrations of PCSK9 in the neonatal-placental circulation is unknown. In the current study, we examined the cord blood concentrations of PCSK9 in neonates born to overweight/obese compared with neonates born to nonoverweight/nonobese and diabetic compared with nondiabetic mothers.
Materials and Methods
We conducted a retrospective case-control study at Brigham and Women's Hospital, Boston, MA, USA. The study was approved by the Mass General Brigham Human Research Committee, which is the institutional review board of Mass General Brigham, on behalf of the Brigham and Women's Hospital (Protocol Number 2012P000384/02.10.2012). The Human Research Committee waived the requirement to obtain a consent. From our biorepository of cord blood samples from 2013 to 2023, we included 116 available samples from neonates born at ≥37 weeks of GA. Prepregnancy maternal body mass index (BMI) was calculated based on the maternal weight and height that were measured at the time of the initial pregnancy assessment, according to the formula BMI = weight/height2. Maternal BMI of 18.5 to 24.9 was classified as normal, BMI of 25 to 29.9 as overweight, and BMI ≥30 as obesity per accepted standards [15]. Maternal diabetes was diagnosed according to the guidelines of the American Diabetes Association, including preexisting diabetes and gestational diabetes mellitus [16]. We compared cord blood PCSK9 concentrations in neonates born to overweight/obese vs nonoverweight/nonobese mothers and to diabetic vs nondiabetic mothers.
We collected the perinatal data for neonates including GA, birth weight, length, and head circumference, sex, intrauterine growth restriction, delayed cord clamping, parity, maternal age, and race, mode of conception and delivery, multiple pregnancy, gestational hypertension, prolonged rupture of membranes, chorioamnionitis, Apgar score in the first and fifth minutes, resuscitation at birth, and survival.
Measurement of Cord Blood PCSK9 Concentration
Mixed arteriovenous blood samples were collected at the time of delivery from the doubly clamped umbilical cord, in EDTA tubes, and were immediately centrifuged. The supernatant plasma was kept frozen at −80 °C until assay.
Plasma PCSK9 levels were determined in a single batch in duplicate using a sandwich enzyme-linked immunosorbent assay kit (Bio Vendor Laboratory Medicine, catalog number RD191473200R, RRID AB_3083527; limit of detection: 9 pg/mL). The intra- and interassay coefficients of variation were 5.2% to 5.3% and 4.0% to 7.5%, respectively.
Statistical Analysis
Continuous variables were expressed as mean ± standard deviation or median (interquartile range), as appropriate. The normality of the distributions of continuous variables was assessed by the Kolmogorov-Smirnov test. Comparisons of continuous variables between 2 groups were performed using the Student unpaired t-test or the nonparametric Mann-Whitney test. Comparison of cord blood PCSK9 levels between more than2 groups was performed using the nonparametric Kruskal-Wallis test. Categorical variables were expressed as n (percentage %) and compared with the χ2 test or Fisher exact test. The correlation between prepregnancy maternal BMI with the cord blood PCSK9 concentration in neonates born to overweight/obese, nonoverweight/nonobese, diabetic, and nondiabetic mothers was examined with Spearman rho. A multivariate linear regression model with generalized estimating equations to account for multiples in our patient cohort was used to examine the association of PCSK9 levels (dependent variable) with maternal overweight/obesity, adjusted for GA, birth weight, sex, and intrauterine growth restriction (independent variables). Coefficients and 95% CIs were calculated.
All tests were 2-sided and a P < .05 was considered statistically significant (alpha .05). A power analysis revealed that a sample size of 116 neonates is sufficient to detect a difference of 15% in cord plasma PCSK9 concentration between groups, with a power of 0.8 and a type I error of 0.05. The data were analyzed using SPSS Statistics (IBM SPSS Statistics for Windows, Version 24.0. Armonk, NY, USA).
Results
Among the 116 neonates included in our study, 74 (64%) were born to overweight/obese mothers and 42 (36%) were born to nonoverweight/nonobese mothers. There were no differences in perinatal characteristics between the 2 groups, except for a significantly higher birthweight in favor of the overweight/obese group (Table 1). The mean GA in the overweight/obese group was 38.5 ± 0.8 weeks and the mean birth weight was 3551 ± 585 g, compared with a mean GA of 38.2 ± 0.8 (P = .083) and birth weight of 3225 ± 514 g (P = .003) in the nonoverweight/nonobese group (Table 1). Neonates in the overweight/obese group had significantly higher cord blood concentrations of PCSK9 compared with neonates in the nonoverweight/nonobese group (323 [253-442] ng/mL compared with 270 [244-382] ng/mL, P = .041) (Fig. 1A). When analyzed by maternal prepregnancy BMI, a significant difference was found between cord blood PCSK9 concentrations in neonates of overweight mothers vs neonates born to mothers with normal prepregnancy BMI (343 [259-460] ng/mL vs 270 [244-382] ng/mL, P = .023) (Fig. 1B).
Table 1.
Perinatal characteristics of neonates born to overweight or obese mothers and neonates born to mothers with normal BMI
| Overweight/obese (n = 74) | Normal BMI (n = 42) | P | |
|---|---|---|---|
| PCSK9, ng/mL | 323 (253-442) | 270 (244-382) | .041 |
| Gestational age, weeks | 38.5 ± 0.8 | 38.2 ± 0.8 | .083 |
| Birthweight, g | 3551 ± 585 | 3225 ± 514 | .003 |
| Birth length, cm | 49.8 ± 2.5 | 49.4 ± 2.6 | .440 |
| Head circumference, cm | 35.3 ± 2.6 | 34.4 ± 1.6 | .166 |
| Sex, male | 39 (53%) | 23 (55%) | .849 |
| Intrauterine growth restriction | 6 (8%) | 5 (12%) | .524 |
| Maternal diabetes | 32 (43%) | 14 (33%) | .328 |
| Maternal BMI | 34.1 ± 4.8 | 24.1 ± 3.1 | <.001 |
| Maternal BMI category | <.001 | ||
|
- 28 (38%) 46 (62%) |
42 (100%) - - |
|
| Delayed cord clamping | 54 (73%) | 33 (79%) | .656 |
| First parity | 24 (33%) | 13 (31%) | .289 |
| Maternal age, years | 34.1 ± 4.8 | 34.7 ± 4.6 | .520 |
| Maternal race | .286 | ||
| White/Caucasian | 41 (55%) | 29 (69%) | |
|
14 (19%) 10 (14%) 8 (11%) 1 (1%) |
3 (7%) 4 (10%) 4 (10%) 2 (4%) |
|
| Conception, in vitro fertilization | 4 (5%) | 6 (14%) | .165 |
| Delivery mode, cesarean section | 73 (99%) | 41 (98%) | 1.000 |
| Twin pregnancy | 1 (1%) | 2 (5%) | .297 |
| Gestational hypertension | 15 (20%) | 4 (10%) | .192 |
| Prolonged rupture of membranes | 3 (4%) | 1 (2%) | 1.000 |
| Chorioamnionitis | 1 (1%) | 2 (4%) | .297 |
| Apgar first minute | 8 (8-8) | 8 (8-8) | .141 |
| Apgar fifth minute | 9 (9-9) | 9 (9-9) | .319 |
| Resuscitation | 8 (11%) | 3 (7%) | .744 |
| Survival | 74 (100%) | 42 (100%) | 1.000 |
Continuous variables are expressed as mean ± SD or median (interquartile range). P values of Student t-test or Mann-Whitney test. Categorical variables are expressed as n (%). P values of χ2 test or Fisher exact test.
Abbreviations: BMI, body mass index; PCSK9, proprotein convertase subtilisin/kexin type 9.
Figure 1.
(A) Proprotein convertase subtilisin/kexin type 9 (PCSK9) in neonates born to overweight/obese mothers compared with neonates born to mothers with normal body mass index. (B) PCSK9 in neonates born to mothers with normal body mass index, overweight, and obesity. (C) PCSK9 in neonates born to diabetic mothers compared with neonates born to nondiabetic mothers.
Of the 116 neonates, 46 (40%) were born to diabetic mothers and 70 (60%) were born to nondiabetic mothers. There were no differences in perinatal characteristics between neonates born to diabetic mothers and neonates born to nondiabetic mothers except for a significantly higher birth weight among infants of diabetic mothers (3567 ± 687 g vs 3345 ± 482 g; P = .043) (Table 2). We found no significant difference in cord blood concentrations of PCSK9 between neonates of diabetic mothers compared with neonates of nondiabetic mothers (318 [250-395] ng/mL compared with 296 [250-418] ng/mL, P = .729) (Fig. 1C). Also, among the 74 neonates of overweight/obese mothers, we found no significant difference in cord blood concentrations of PCSK9 between the 32 (43%) neonates of diabetic mothers compared with the 42 (57%) neonates of nondiabetic mothers (314 [247-379] ng/mL compared with 340 [255-493] ng/mL, P = .230).
Table 2.
Perinatal characteristics of neonates born to diabetic mothers and neonates born to non-diabetic mothers
| Diabetes (n = 46) | Nondiabetes (n = 70) | P | |
|---|---|---|---|
| PCSK9, ng/mL | 318 (250-395) | 296 (250-418) | .729 |
| Gestational age, weeks | 38.2 ± 0.9 | 38.5 ± 0.8 | .154 |
| Birthweight, g | 3567 ± 687 | 3345 ± 482 | .043 |
| Birth length, cm | 49.8 ± 2.8 | 49.6 ± 2.3 | .658 |
| Head circumference, cm | 35.7 ± 3.3 | 34.6 ± 1.5 | .066 |
| Sex, male | 26 (57%) | 36 (51%) | .704 |
| Intrauterine growth restriction | 5 (11%) | 6 (9%) | .751 |
| Maternal BMI | 31.7 ± 7.2 | 30.1 ± 6.9 | .253 |
| Maternal BMI category | .188 | ||
|
14 (30%) 9 (20%) 23 (50%) |
28 (40%) 19 (27%) 23 (33%) |
|
| Delayed cord clamping | 35 (76%) | 52 (74%) | 1.000 |
| First parity | 19 (41%) | 18 (26%) | .120 |
| Maternal age | 35.0 ± 4.6 | 34.0 ± 4.8 | .276 |
| Maternal race | .556 | ||
| White/Caucasian | 29 (63%) | 41 (59%) | |
|
5 (11%) 7 (15%) 5 (11%) - |
12 (17%) 7 (10%) 7 (10%) 3 (4%) |
|
| Conception, in vitro fertilization | 4 (9%) | 6 (9%) | 1.000 |
| Delivery mode, cesarean section | 44 (96%) | 70 (100%) | .155 |
| Twin pregnancy | 3 (7%) | — | .060 |
| Gestational hypertension | 6 (13%) | 13 (19%) | .458 |
| Prolonged rupture of membranes | 1 (2%) | 3 (4%) | 1.000 |
| Chorioamnionitis | 1 (2%) | 2 (3%) | 1.000 |
| Apgar first minute | 8 (8-8) | 8 (8-8) | .570 |
| Apgar fifth minute | 9 (9-9) | 9 (9-9) | .239 |
| Resuscitation | 7 (15%) | 4 (6%) | .110 |
| Survival | 46 (100%) | 70 (100%) | 1.000 |
Continuous variables are expressed as mean ± SD or median (interquartile range). P values of Student's t-test or Mann-Whitney test. Categorical variables are expressed as n (%). P values of χ2 test or Fisher exact test.
Abbreviations: BMI, body mass index; PCSK9, proprotein convertase subtilisin/kexin type 9.
Prepregnancy maternal BMI was significantly associated with cord blood PCSK9 only in neonates born to nonoverweight/nonobese mothers (r = 0.495, P = .002). This association was not significant in any other neonatal-maternal group (Table 3).
Table 3.
Spearman rho analysis of the association of prepregnancy maternal body mass index with cord blood PCSK9
| rho | P | |
|---|---|---|
| Overweight/obesity | 0.142 | .231 |
| Non-overweight/non-obesity | 0.495 | .002 |
| Diabetes | 0.043 | .783 |
| Non-diabetes | 0.180 | .146 |
Abbreviation: PCSK9, proprotein convertase subtilisin/kexin type 9.
In multivariate linear regression analysis, higher cord plasma PCSK9 concentration was significantly associated with maternal overweight/obesity status (b = 50.12; 95% CI, 4.02-96.22; P = .033) after adjusting for GA (b = −16.60; 95% CI, −96.22 to −10.02; P = .219), birth weight (b = −0.01; 95% CI, −0.05 to −0.04; P = .963), male sex (b = −8.83; 95% CI, −52.86 to −35.19; P = .692), and intrauterine growth restriction (b = 13.45; 95% CI, −70.32 to −97.24; P = .751) (Table 4).
Table 4.
Multivariate linear regression (generalized estimating equations) analysis of the PCSK9 (dependent variable) with variables that were significant in univariate analysis, namely obesity/overweight, gestational age, birth weight, sex, and intrauterine growth restriction (independent variables)
| b | 95% CI | P | |
|---|---|---|---|
| PCSK9 | |||
| Overweight/obesity | 50.12 | 4.02-96.22 | .033 |
| Gestational age | −16.60 | (−96.22)-10.02 | .219 |
| Birth weight | −0.01 | (−0.05)-0.04 | .963 |
| Sex, male | −8.83 | (−52.86)-35.19 | .692 |
| Intrauterine growth restriction | 13.45 | (−70.32)-97.24 | .751 |
Abbreviation: PCSK9, proprotein convertase subtilisin/kexin type 9.
Discussion
Our study demonstrates that cord blood PCSK9 concentrations are significantly higher in neonates born to overweight/obese mothers compared with neonates born to nonoverweight/nonobese mothers. Prepregnancy maternal BMI is significantly associated with cord blood PCSK9 in neonates born to nonoverweight/nonobese mothers, whereas higher cord blood PCSK9 concentrations are significantly associated with maternal overweight/obesity status, after adjusting for GA, birth weight, sex, and intrauterine growth restriction.
PCSK9 regulates circulating LDL cholesterol levels by promoting the degradation of LDL receptors [9]. It is mainly produced in the liver but also expressed in various cells throughout the body, including small intestinal enterocytes, vascular endothelial and smooth muscle cells [17], cardiomyocytes [18], macrophages [19], and various cells in the placenta [20]. In fetal life, PCSK9 expression has been first detected in the liver at embryonic day 9 and in the skin, kidney, small intestine, and cerebellum at embryonic day 15 [21]. In tissue culture and animal studies, PCSK9 expression is increased in response to hypoxia, cardiomyocyte injury [22], systemic inflammation [23], hemodynamic shear stress, and oxidative stress [24-26]. In human studies in adults, serum PCSK9 levels are positively associated with acute myocardial infarction [27] and high-sensitivity C-reactive protein levels [28], whereas PCSK9 inhibitors such as evolocumab or alirocumab reduce the risk of recurrent ischemic cardiovascular events [29, 30]. In pregnant women, serum PCSK9 concentrations at delivery are significantly higher compared with nonpregnant women, and PCSK9 concentrations in cord blood are significantly lower than the corresponding maternal concentrations, indicating the unlikely contribution of maternal PCSK9 to cord blood concentrations [10]. Moreover, PCSK9 was previously associated with urgent cesarean delivery [31]. Previous studies in neonates showed that PCSK9 concentrations were significantly higher in neonates born small or large for GA compared with neonates born appropriate for GA. Also, PCSK9 concentrations in neonates showed a significant correlation with total and LDL cholesterol [12]. Another study in newborns showed that neonatal PCSK9 concentrations were a significant predictor of fetal LDL-cholesterol levels independent of small-for-GA status in multivariate analysis [13]. Our findings, demonstrating that cord blood PCSK9 concentrations were significantly higher in neonates born to overweight/obese mothers compared with neonates born to mothers with normal prepregnancy BMI, lend support to the notion that the proinflammatory state of being overweight, or obese, leads to elevated PCSK9 [32].
Maternal overweight status, obesity, and diabetes during pregnancy are considered proinflammatory states [1, 2]. Obesity is known to cause chronic endothelial activation and dysfunction [33, 34], excessive production of reactive oxygen species [35, 36], hyperinsulinemia and insulin resistance [37], and dyslipidemia [1]. In addition, exposure to an obesogenic maternal environment has been associated with abnormalities in placental metabolic regulation, leading to epigenetic modifications [38-40]. Placentas from diabetic or obese pregnancies show decreased expression of genes implicated in cholesterol utilization and LDL receptors, independent of the level of maternal cholesterol but likely resulting from high fetal insulin levels [19, 40]. Epigenetic remodeling during early life could constitute a molecular mechanism through which intrauterine stimuli can have an impact on gene regulation and DNA damage and repair [41-44]. A recent study showed hypomethylation of the PCSK9 gene in placentas of diabetic pregnancies compared with controls [45], and DNA methylation alterations in blood cells of offspring born to obese mothers have also been previously demonstrated [6].
Higher circulating PCSK9 levels were found in obese compared with nonobese adult subjects [46, 47], and female obese subjects with type 2 diabetes had the highest levels of PCSK9 within a group of young adults aged 15 to 26 years [9]. Taken together, these previous studies support that female sex and proinflammatory states such as overweight/obesity status, as well as intrauterine growth restriction and prematurity are associated with higher circulating PSCK9 concentrations, suggesting a possible impact of estrogens, epigenetics, and gestational maturation on metabolic states [12-14]. In our study, cord blood PCSK9 concentration was significantly associated with maternal overweight/obesity status, after adjusting for GA, birth weight, sex, and intrauterine growth restriction. We conclude that PCSK9 may be a useful biomarker of lipoprotein metabolism in fetal life because PCSK9 levels in the neonatal-placental circulation are susceptible to several conditions that affect lipoprotein regulation including maternal overweight status/obesity.
Our study has several limitations. Given the known association between obesity and insulin resistance, it is possible that we included women with undiagnosed insulin resistance within our nondiabetic mother group, two thirds of which were overweight or obese. In addition, we do not have data on maternal lipid profiles, circulating PCSK9 concentrations, or markers of glucose metabolism. Although in previous studies, PCSK9 levels have been correlated with markers of blood glucose homeostasis in patients with type 2 diabetes [48], in our retrospective study, we used stored samples that were of limited quantity and were not appropriately processed for lipid analysis, inflammation markers, or markers of glucose metabolism. Future longitudinal studies would be important in further delineating the relationship between maternal obesity or diabetes and infant PCSK9 levels.
Conclusions
Higher cord blood PCSK9 concentrations are significantly associated with maternal overweight/obesity status, after adjustment for GA, birth weight, sex, and intrauterine growth restriction; this finding may warrant larger, prospective, longitudinal studies to examine the utility of PCSK9 as a biomarker of lipoprotein metabolic profile in high-risk neonates and its potential predictive role in later metabolic syndrome.
Acknowledgments
The authors have no acknowledgments to declare.
Abbreviations
- BMI
body mass index
- GA
gestational age
- LDL
low-density lipoprotein
- PCSK9
proprotein convertase subtilisin/kexin-type 9
Contributor Information
Dimitrios Rallis, Email: drallis@uoi.gr, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Neonatal Intensive Care Unit, University of Ioannina, Faculty of Medicine, Ioannina 45110, Greece.
Aimilia Eirini Papathanasiou, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Helen Christou, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Author Contributions
D.R.: Conceptualization, Methodology, Software, Data curation, Writing- Original draft preparation. A.E.P.: Methodology, Software, Data curation, Investigation, Writing- Reviewing and Editing. H.C.: Conceptualization, Supervision, Writing- Reviewing and Editing. All authors approved the final manuscript and agreed to be accountable for all aspects of the work.
Disclosures
None.
Data Availability
Restrictions apply to the availability of some, or all data generated or analyzed during this study to preserve patient confidentiality or because they were used under license. The corresponding author will on request detail the restrictions and any conditions under which access to some data may be provided.
Ethics Approval and Consent to Participate
The study was approved by the Mass General Brigham Human Research Committee, which is the Institutional Review Board of Mass General Brigham on behalf of the Brigham and Women's Hospital (Protocol Number 2012P000384/02.10.2012). The Human Research Committee waived the requirement to obtain a consent. The study was performed in accordance with the Declaration of Helsinki.
References
- 1. Ramsay JE, Ferrell WR, Crawford L, Wallace AM, Greer IA, Sattar N. Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways. J Clin Endocrinol Metab. 2002;87(9):4231‐4237. [DOI] [PubMed] [Google Scholar]
- 2. Challier JC, Basu S, Bintein T, et al. Obesity in pregnancy stimulates macrophage accumulation and inflammation in the placenta. Placenta. 2008;29(3):274‐281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Helle E, Priest JR. Maternal obesity and diabetes Mellitus as risk factors for congenital heart disease in the offspring. J Am Heart Assoc. 2020;9(8):e011541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Gaillard R, Steegers EA, Duijts L, et al. Childhood cardiometabolic outcomes of maternal obesity during pregnancy: the generation R study. Hypertension. 2014;63(4):683‐691. [DOI] [PubMed] [Google Scholar]
- 5. Perng W, Gillman MW, Mantzoros CS, Oken E. A prospective study of maternal prenatal weight and offspring cardiometabolic health in midchildhood. Ann Epidemiol. 2014;24(11):793‐800.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Alba-Linares JJ, Perez RF, Tejedor JR, et al. Maternal obesity and gestational diabetes reprogram the methylome of offspring beyond birth by inducing epigenetic signatures in metabolic and developmental pathways. Cardiovasc Diabetol. 2023;22(1):44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Carter AM. Evolution of placental function in mammals: the molecular basis of gas and nutrient transfer, hormone secretion, and immune responses. Physiol Rev. 2012;92(4):1543‐1576. [DOI] [PubMed] [Google Scholar]
- 8. Seidah NG, Garçon D. Expanding biology of PCSK9: roles in atherosclerosis and beyond. Curr Atheroscler Rep. 2022;24(10):821‐830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Levenson AE, Shah AS, Khoury PR, et al. Obesity and type 2 diabetes are associated with elevated PCSK9 levels in young women. Pediatr Diabetes. 2017;18(8):755‐760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Peticca P, Raymond A, Gruslin A, et al. Human Serum PCSK9 is elevated at parturition in comparison to nonpregnant subjects while Serum PCSK9 from umbilical cord blood is lower compared to maternal blood. ISRN Endocrinol. 2013;2013:341632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Herrera E. Implications of dietary fatty acids during pregnancy on placental, fetal and postnatal development–a review. Placenta. 2002;23(Suppl A):S9‐S19. [DOI] [PubMed] [Google Scholar]
- 12. Vlahos A, Rallis D, Lianou A, et al. Serum PCSK9 levels in infants with deviant birth weight: a biomarker of the lipoprotein metabolism. J Matern Fetal Neonatal Med. 2023;36(1):2188108. [DOI] [PubMed] [Google Scholar]
- 13. 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. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Araki S, Suga S, Miyake F, et al. Circulating PCSK9 levels correlate with the serum LDL cholesterol level in newborn infants. Early Hum Dev. 2014;90(10):607‐611. [DOI] [PubMed] [Google Scholar]
- 15. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults–the evidence report. National Institutes of Health. Obes Res. 1998;6(Suppl 2):51S‐209S. [PubMed] [Google Scholar]
- 16. American Diabetes Association . Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37(Supplement_1):S81‐S90. [DOI] [PubMed] [Google Scholar]
- 17. Ferri N, Marchiano S, Tibolla G, et al. PCSK9 knock-out mice are protected from neointimal formation in response to perivascular carotid collar placement. Atherosclerosis. 2016;253:214‐224. [DOI] [PubMed] [Google Scholar]
- 18. Schluter KD, Wolf A, Weber M, Schreckenberg R, Schulz R. Oxidized low-density lipoprotein (oxLDL) affects load-free cell shortening of cardiomyocytes in a proprotein convertase subtilisin/kexin 9 (PCSK9)-dependent way. Basic Res Cardiol. 2017;112(6):63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Ethier-Chiasson M, Duchesne A, Forest JC, et al. Influence of maternal lipid profile on placental protein expression of LDLr and SR-BI. Biochem Biophys Res Commun. 2007;359(1):8‐14. [DOI] [PubMed] [Google Scholar]
- 20. Dube E, Ethier-Chiasson M, Lafond J. Modulation of cholesterol transport by insulin-treated gestational diabetes mellitus in human full-term placenta. Biol Reprod. 2013;88(1):16. [DOI] [PubMed] [Google Scholar]
- 21. Seidah NG, Benjannet S, Wickham L, et al. The secretory proprotein convertase neural apoptosis-regulated convertase 1 (NARC-1): liver regeneration and neuronal differentiation. Proc Natl Acad Sci U S A. 2003;100(3):928‐933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Yang CL, Zeng YD, Hu ZX, Liang H. PCSK9 promotes the secretion of pro-inflammatory cytokines by macrophages to aggravate H/R-induced cardiomyocyte injury via activating NF-kappaB signalling. Gen Physiol Biophys. 2020;39(2):123‐134. [DOI] [PubMed] [Google Scholar]
- 23. Ding Z, Pothineni NVK, Goel A, Luscher TF, Mehta JL. PCSK9 and inflammation: role of shear stress, pro-inflammatory cytokines, and LOX-1. Cardiovasc Res. 2020;116(5):908‐915. [DOI] [PubMed] [Google Scholar]
- 24. Ding Z, Liu S, Wang X, et al. Hemodynamic shear stress via ROS modulates PCSK9 expression in human vascular endothelial and smooth muscle cells and along the mouse aorta. Antioxid Redox Signal. 2015;22(9):760‐771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Zhang Y, Liu J, Li S, et al. Proprotein convertase subtilisin/kexin type 9 expression is transiently up-regulated in the acute period of myocardial infarction in rat. BMC Cardiovasc Disord. 2014;14(1):192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Feingold KR, Moser AH, Shigenaga JK, Patzek SM, Grunfeld C. Inflammation stimulates the expression of PCSK9. Biochem Biophys Res Commun. 2008;374(2):341‐344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Laugsand LE, Asvold BO, Vatten LJ, et al. Circulating PCSK9 and risk of myocardial infarction: the HUNT study in Norway. JACC Basic Transl Sci. 2016;1(7):568‐575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Gao Y, Qiu Y, Wu J, et al. Acute-Phase plasma PCSK9 levels and recurrent cardiovascular events in a Chinese acute myocardial infarction cohort. Cardiology. 2018;141(2):88‐97. [DOI] [PubMed] [Google Scholar]
- 29. Schwartz GG, Steg PG, Szarek M, et al. Alirocumab and cardiovascular outcomes after acute coronary syndrome. N Engl J Med. 2018;379(22):2097‐2107. [DOI] [PubMed] [Google Scholar]
- 30. Sabatine MS, Giugliano RP, Keech AC, et al. Evolocumab and clinical outcomes in patients with cardiovascular disease. N Engl J Med. 2017;376(18):1713‐1722. [DOI] [PubMed] [Google Scholar]
- 31. Macchi C, Iodice S, Persico N, et al. Maternal exposure to air pollutants, PCSK9 levels, fetal growth and gestational age—an Italian cohort. Environ Int. 2021;149:106163. [DOI] [PubMed] [Google Scholar]
- 32. Guo Y, Yan B, Tai S, Zhou S, Zheng XL. PCSK9: associated with cardiac diseases and their risk factors? Arch Biochem Biophys. 2021;704:108717. [DOI] [PubMed] [Google Scholar]
- 33. Stewart FM, Freeman DJ, Ramsay JE, Greer IA, Caslake M, Ferrell WR. Longitudinal assessment of maternal endothelial function and markers of inflammation and placental function throughout pregnancy in lean and obese mothers. J Clin Endocrinol Metab. 2007;92(3):969‐975. [DOI] [PubMed] [Google Scholar]
- 34. Campia U, Tesauro M, Di Daniele N, Cardillo C. The vascular endothelin system in obesity and type 2 diabetes: pathophysiology and therapeutic implications. Life Sci. 2014;118(2):149‐155. [DOI] [PubMed] [Google Scholar]
- 35. Mele J, Muralimanoharan S, Maloyan A, Myatt L. Impaired mitochondrial function in human placenta with increased maternal adiposity. Am J Physiol Endocrinol Metab. 2014;307(5):E419‐E425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Pou KM, Massaro JM, Hoffmann U, et al. Visceral and subcutaneous adipose tissue volumes are cross-sectionally related to markers of inflammation and oxidative stress: the Framingham Heart Study. Circulation. 2007;116(11):1234‐1241. [DOI] [PubMed] [Google Scholar]
- 37. Catalano PM, Ehrenberg HM. The short- and long-term implications of maternal obesity on the mother and her offspring. BJOG. 2006;113(10):1126‐1133. [DOI] [PubMed] [Google Scholar]
- 38. Agarwal P, Morriseau TS, Kereliuk SM, Doucette CA, Wicklow BA, Dolinsky VW. Maternal obesity, diabetes during pregnancy and epigenetic mechanisms that influence the developmental origins of cardiometabolic disease in the offspring. Crit Rev Clin Lab Sci. 2018;55(2):71‐101. [DOI] [PubMed] [Google Scholar]
- 39. Bar J, Kovo M, Schraiber L, Shargorodsky M. Placental maternal and fetal vascular circulation in healthy non-obese and metabolically healthy obese pregnant women. Atherosclerosis. 2017;260:63‐66. [DOI] [PubMed] [Google Scholar]
- 40. Bucher M, Montaniel KRC, Myatt L, Weintraub S, Tavori H, Maloyan A. Dyslipidemia, insulin resistance, and impairment of placental metabolism in the offspring of obese mothers. J Dev Orig Health Dis. 2021;12(5):738‐747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Perez RF, Santamarina P, Tejedor JR, et al. Longitudinal genome-wide DNA methylation analysis uncovers persistent early-life DNA methylation changes. J Transl Med. 2019;17(1):15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Feil R, Fraga MF. Epigenetics and the environment: emerging patterns and implications. Nat Rev Genet. 2012;13(2):97‐109. [DOI] [PubMed] [Google Scholar]
- 43. Davison GW, Irwin RE, Walsh CP. The metabolic-epigenetic nexus in type 2 diabetes mellitus. Free Radic Biol Med. 2021;170:194‐206. [DOI] [PubMed] [Google Scholar]
- 44. Kaimala S, Ansari SA, Emerald BS. DNA methylation in the pathogenesis of type 2 diabetes. Vitam Horm. 2023;122:147‐169. [DOI] [PubMed] [Google Scholar]
- 45. Wang Y, Fang D, Yang Q, et al. Interactions between PCSK9 and NLRP3 inflammasome signaling in atherosclerosis. Front Immunol. 2023;14:1126823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Lakoski SG, Lagace TA, Cohen JC, Horton JD, Hobbs HH. Genetic and metabolic determinants of plasma PCSK9 levels. J Clin Endocrinol Metab. 2009;94(7):2537‐2543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Boyer M, Piche ME, Auclair A, et al. Acute and chronic impact of bariatric surgery on plasma LDL cholesterol and PCSK9 levels in patients with severe obesity. J Clin Endocrinol Metab 2017;102(11):4023‐4030. [DOI] [PubMed] [Google Scholar]
- 48. Ruscica M, Macchi C, Giuliani A, et al. Circulating PCSK9 as a prognostic biomarker of cardiovascular events in individuals with type 2 diabetes: evidence from a 16.8-year follow-up study. Cardiovasc Diabetol. 2023; 22(1):222. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Restrictions apply to the availability of some, or all data generated or analyzed during this study to preserve patient confidentiality or because they were used under license. The corresponding author will on request detail the restrictions and any conditions under which access to some data may be provided.

