Abstract
Brain-derived neurotrophic factor (BDNF) and kisspeptin-1 (KISS-1) regulate placental development and fetal growth. The predictive value of maternal serum BDNF and KISS-1 concentrations for placental and umbilical cord levels has not yet been explored. The influence of prenatal lead (Pb) and cadmium (Cd) exposure and maternal iron status on BDNF and KISS-1 levels is also unclarified and of concern. In a pilot cross-sectional study with 65 mother–newborn pairs, we analyzed maternal and cord serum levels of pro-BDNF, mature BDNF, and KISS-1, BDNF, and KISS-1 gene expression in placenta, Pb and Cd in maternal and umbilical cord blood (erythrocytes), and placenta. We conducted a series of in vitro experiments using human primary trophoblast cells (hTCs) and BeWo cells to verify main findings of the epidemiological analysis. Strong and consistent correlations were observed between maternal serum levels of pro-BDNF, mature BDNF, and KISS-1 and corresponding levels in umbilical serum and placental tissue. Maternal red blood cell Pb levels were inversely correlated with serum and placental KISS-1 levels. Lower expression and release of KISS-1 was also observed in Pb-exposed BeWo cells. In vitro Pb exposure also reduced cellular BDNF levels. Cd-treated BeWo cells showed increased pro-BDNF levels. Low maternal iron status was positively associated with low BDNF levels. Iron-deficient hTCs and BeWo cells showed a consistent decrease in the release of mature BDNF. The correlations between maternal BDNF and KISS-1 levels, placental gene expression, and umbilical cord serum levels, respectively, indicate the strong potential of maternal serum as predictive matrix for BDNF and KISS-1 levels in placentas and fetal sera. Pb exposure and iron status modulate BDNF and KISS-1 levels, but a clear direction of modulations was not evident. The associations need to be confirmed in a larger sample and validated in terms of placental and neurodevelopmental function.
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Introduction
Within the European Human Biomonitoring Initiative (HBM4EU—https://www.hbm4eu.eu/), a series of comprehensive reviews were performed to identify promising effect biomarkers (i.e., markers of health-disease), in order to complement human exposure data with mechanistically based biomarkers of early adverse effects in human biomonitoring (HBM) studies. Guided by toxicological and adverse outcome pathway (AOP) information, promising effect biomarkers were prioritized, including brain-derived neurotrophic factor (BDNF) and kisspeptin-1 (KISS-1), related to neurodevelopmental and reproductive outcomes, respectively (Gundacker et al. 2021a; Mustieles et al. 2020). Recent data in HBM4EU-funded studies have shown that exposure to heavy metals is associated with altered serum BDNF regulation and behavior among adolescent boys from the INMA-Granada cohort Rodriguez-Carrillo et al. (2022b) and that blood BDNF regulation even mediated the association between exposure the endocrine disruptor bisphenol A (BPA) and behavioral problems in this same cohort (Mustieles et al. 2022). Additionally, preliminary data are also revealing an influence of environmental chemicals including heavy metals on serum KISS-1 regulation among adolescent boys (Rodriguez-Carrillo et al. 2022c). Beyond these promising results, many gaps still remain around the physio- and pathophysiology of BDNF and KISS-1 regulation, especially during critical developmental periods such as pregnancy.
BDNF is a member of the neurotrophin family of growth factors, which is important for fetal brain development, especially synaptic plasticity (Binder and Scharfman 2004; Cohen-Cory et al. 2010). BDNF is highly conserved in gene structure and function (Gotz et al. 1992). Its spatio-temporal expression is tightly regulated through transcriptional, post-transcriptional, and epigenetic mechanisms (Hing et al. 2018). In addition to (epi)genetic influences, environmental pollutants such as lead (Pb) can affect BDNF levels (Gundacker et al. 2021a).
BDNF expression can be constitutive (e.g., in neurons) or on demand, depending on the cell type. It is synthesized as a precursor form, pro-BDNF that is converted to mature BDNF via intracellular factors (furin or intracellular convertases) or extracellular factors (plasmin and metalloproteinases MMP2 and MMP9) by proteolytic cleavage. Both isoforms fulfill fundamentally opposite functions, by interacting with different receptors. While pro-BDNF induces apoptosis by binding to the p75 neurotrophin receptor, mature BDNF promotes cell survival and synaptic plasticity by activating the tyrosine kinase receptor (Kowianski et al. 2018). Changes in brain morphology, motoric impairments, and even reduced lifespan in a pro-BDNF knockout model with drastically reduced levels of both isoforms, clearly demonstrate the significant role of BDNF during development (Li et al. 2020).
Although BDNF levels are highest in brain, it is expressed in over 20 different human tissues, including placenta (Pruunsild et al. 2007). Furthermore, BDNF can also be found circulating in blood, examined as a potential biomarker for psychiatric disorders, as reduced serum BDNF levels have been associated with various mental disorders (e.g., depression, schizophrenia) (Cattaneo et al. 2016; Rodrigues-Amorim et al. 2018). The major functions of BDNF include developmental processes, regulation of neurogenesis, gliogenesis, synaptogenesis, and neuroprotection (Gonzalez et al. 2016; Sasi et al. 2017). In addition, BDNF has specific roles during pregnancy, as it is essential for follicular development, implantation, and placentation (Kawamura et al. 2007, 2009; Mayeur et al. 2010).
KISS-1, also known as metastin (due to its identification as metastasis suppressor in melanoma), is a peptide hormone, which collectively describes different circulating isoforms (kisspeptin-54, -13, -14, and -10) generated through different proteolytic cleavage sites. By binding to G-protein-coupled receptor (GPR54/KISS-1R), kisspeptins regulate in addition to tumor metastasis, puberty onset, and fertility through stimulation of gonadotropin and gonadotropin-releasing hormone (GnRH), as well as trophoblast invasion during pregnancy (Zhu et al. 2022). Next to key limbic brain regions (e.g., hypothalamus), KISS-1 is also highly expressed in pancreas and placenta (Mills et al. 2022). While circulating KISS-1 levels are low in males and non-pregnant women, they gradually increase during pregnancy (up to 9000-fold in third trimester compared to non-pregnant individuals) and rapidly decline post-delivery (Horikoshi et al. 2003).
KISS-1 is known to play an important role in human development in the initiation and progression of puberty (Tng 2015). Due to its high expression and important role in placenta, it has been suggested that KISS-1 could be a biomarker of pregnancy complications (Tsoutsouki et al. 2022). However, the physiological role of circulating KISS-1 in pregnancy remains unknown (Reynolds et al. 2009). Of note, both BDNF and KISS-1 are expressed in the human placenta regulating its development and fetal growth with implications for offspring health (Dingsdale et al. 2021; Hu et al. 2019; Kapustin et al. 2020; Mayeur et al. 2010; Radovick and Babwah 2019; Rosenfeld 2020). The concept of the placenta–brain axis describes the close connection between the placenta and brain development (Rosenfeld 2020). The placenta not only supplies the fetus with nutrients and gases, but also releases neurotransmitters (serotonin, dopamine, noradrenaline/epinephrine) that can influence brain development. For example, neurobehavioral disorders such as autism spectrum disorders, have been attributed to placental dysfunctions (Rosenfeld 2020).
Male fetuses have been shown to have lower BDNF serum levels in the umbilical cord than female fetuses (Dingsdale et al. 2022). Low neonatal serum BDNF levels have been associated with impaired neurodevelopment (Dingsdale et al. 2022; Skogstrand et al. 2019; Yu et al. 2016), i.e., in cases with neurodevelopmental disorders (e.g., autism), lower BDNF serum levels have been found in umbilical cord serum than in healthy controls (Skogstrand et al. 2019; Yu et al. 2016).
Therefore, a marker that early and reliably indicates changes in placental BDNF/KISS-1 expression and/or fetal serum levels would be of great value for both environmental epidemiology and clinical fields. However, the predictive value of maternal serum BDNF and KISS-1 concentrations and their relationship to placental and umbilical cord serum BDNF levels has not yet been explored. The possible influences of prenatal Pb and cadmium (Cd) exposure and maternal iron status on BDNF and KISS-1 levels have neither been elucidated.
The objectives of the study were to (1) determine whether maternal serum BDNF and KISS-1 levels are correlated with umbilical cord serum levels and placental gene expression; (2) determine whether BDNF and KISS-1 levels can be used as biomarkers of effect in relation to Pb and Cd exposure; and (3) evaluate the influence of maternal iron status on BDNF and KISS-1 levels. Most experiments were conducted in choriocarcinoma cell line BeWo and the main findings confirmed in human primary trophoblast cells isolated from placentas.
Materials and Methods
Study Design and Sample Collection
Sixty-five pregnant women were recruited at the General Hospital Vienna between July 2019 and October 2021 in the frame of the placental iron metabolism study (Ethic Vote No. 1404/2015) and included in this cross-sectional pilot study after providing written informed consent. Further inclusion criteria were healthy single term pregnancy, delivered between GW 37 and 42 and age between 18 and 45 years. Some pregnant women that conceived by in vitro-fertilization, having allergies or taking iron supplements were included. Women with COVID-19 infection during pregnancy, bariatric surgery, hypo- and hyperthyroidism, and medications that may affect iron metabolism (e. g., heparins) were excluded.
Participants were interviewed by trained staff around birth. Maternal venous blood samples were collected prior to child delivery. After birth, venous umbilical cord blood was drawn and placentas collected. Full thickness pieces were taken from four sites of the abembryonic pole of the placenta (1 sample per quadrant), all four were homogenized together to represent the whole placenta and stored at − 20 °C until further analyses. An aliquot of the four approximately 3 mm3 pieces of the placenta was stored in RNAlater® Solution (ThermoFisher) at − 20 °C for gene expression analyses by qPCR.
Most blood samples were analyzed for blood counts and iron status (Table 1). Maternal iron supplementation was surveyed in three categories, i.e., no supplementation, supplementation with multivitamin/multielement supplements (containing iron), and intentional supply of iron, mostly via oral iron preparations. Nearly 90% of women received some form of iron supplementation, i.e., 45% received iron-containing dietary supplements and 44% received intentional iron therapy by ferrous sulfate supplements (100–160 mg/day).
Cd and Pb levels were determined in erythrocytes (i.e., red blood cell fraction) and placentas (homogenate of four tissue aliquots). Medical records were used to survey maternal anthropometry, medical history, and health status during pregnancy and delivery, as well as neonatal birth outcomes (birth weight, birth length, head circumference, and gestational age). Iron status was characterized by various parameters (Table 1).
The participants also completed a Food-Frequency-Questionnaire (FFQ) that contained mainly single-choice questions focusing on iron rich foods, vitamin-C-rich foods or foods that prevent intestinal iron absorption. To calculate estimated daily iron intake (mg/day), each food was assigned an iron content (obtained from https://www.oenwt.at/), which was normalized by portion/serving size.
ELISA
Mature BDNF and pro-BDNF were quantified in both human serum and cell culture supernatants in duplicates using the Mature BDNF/pro-BDNF Combo Rapid ELISA Kit (Biosensis) according to the manufacturer's protocol. Serum samples were diluted 1:10 for pro-BDNF, 1:50 for mature BDNF, and 1:2 for cell culture supernatants to be within the detection range of the ELISA assay (0–1000 pg/ml). The concentrations of the reference material for pro-BDNF (463 ± 14.7 pg/ml) as well as for mature BDNF (262 ± 7.5 pg/ml) were well within the certified range (pro-BDNF: 350–650; mature BDNF: 175–325 pg/ml).
KISS-1 was quantified by KISS-1 Metastasis Suppressor (KISS-1) ELISA Kit (Antibodies-online, ABIN6962789), according to the manufacturer's protocol. Human serum samples were diluted 1:10 and 1:2 for cell culture supernatants to be within the detection range of the KISS-1 ELISA assay (0–1000 pg/ml).
Intra- and inter-plate CV was also determined for pro-BDNF (intra-assay CV: 3.2%; inter-assay CV: 3.1%), as well as for mature BNDF (intra-assay CV: 3.8%; inter-assay CV: 2.9%) and for KISS-1 (intra-assay CV: 3.8%; inter-assay CV: 4.3%).
Commercially available ELISA kits may give different results depending on the company from which they are purchased (Polacchini et al. 2015). For this reason, all ELISA kits we have used are from the same company and the same LOT.
RNA Isolation, Reverse Transcription, and qPCR
RNA from whole placental tissue stored in RNAlater was isolated using PARIS™ Kit (Invitrogen™), while cellular RNA was isolated using TRI®Reagent (Merck) according to the manufacturer’s instructions, respectively. Total RNA was reverse transcribed using Go-Script Reverse Transcription System (Promega). cDNA was diluted 1:10, and 2 µl cDNA solution was used as template in gene expression assay reactions, following Applied Biosystems StepOnePlus Real-Time PCR System protocol. The employed primers were Hs00158486_m1 (KISS-1), Hs02718934_s1 (BDNF), Hs04194247_g1 (MT2A), and as housekeeping gene Hs00824723_m1 (Ubiquitin C: UBC) (ThermoFisher).
Lead and Cadmium Levels in Erythrocytes and Placenta
About 1 g of erythrocytes (corresponds to approx. 2.5 ml whole blood) and placenta tissue as well as reference material (Trace Elements Whole Blood L-2, 210205, Seronorm™) were digested with 1.5 ml nitric acid (69%; Suprapur; Roth) in a microwave (MARS6, CEM) and analyzed for Cd and Pb by graphite-furnace atomic absorbance spectroscopy (GF-AAS; Zeenit-P700; Analytic Jena). The mean concentrations of ten reference material samples (Cd: 4.4 ± 0.3 µg/l, 87 ± 7% recovery; Pb: 279 ± 32 µg/l, 92 ± 11% recovery) were within the certified range (Cd: 4.1–6.1 µg/l; Pb: 272–334 µg/l). The instruments’ mean limit of detection (LOD) was 0.04 ± 0.01 µg/l for Cd and 0.84 ± 0.17 µg/l for Pb (N = 5). The mean limit of quantification (LOQ) was 0.13 ± 0.04 µg/l for Cd and 2.51 ± 0.50 µg/l for Pb (N = 5). All samples were measured in duplicate [relative standard deviation (RSD) < 10%], and the concentrations were calculated from a standard curve (0–7.5 µg/l Cd; 0–50 µg/l Pb).
Cell Culture
Human trophoblast cells (hTCs) were isolated from healthy placentas according to previous studies (Straka et al. 2016). Isolated primary hTCs were cultured in RPMI-1640 (Gibco), supplemented with 10% fetal bovine serum (FBS; PAN Biotech) and 1% keratinocyte growth supplement (Gibco, standard conditions). hTCs were cultured at 37 °C with 5% CO2 and 95% humidity.
BeWo cells (clone 24), donated by Isabella Ellinger’s Lab (Medical University of Vienna), were cultured in RPMI-1640 (Gibco) supplemented with 10% FBS (PAN-Biotech) and 1% Glutamax (Gibco). Cells were cultured at 37 °C with 5% CO2 and 95% humidity. Cell line identity and purity were verified by short tandem repeat (STR) profiling (ATCC). Cell number was determined using CASY® cell counter (Innovatis).
Cell culture media for ELISAs were centrifuged for 10 min at 800 × g to remove cell debris; supernatants were then aliquoted and stored at − 80 °C until further analysis.
In Vitro Iron Deficiency and Iron Overload Conditions
Primary trophoblasts (1 × 107/10 cm plate) or BeWo cells (4 × 105/6-well) were cultivated 24 h post-seeding under standard, iron deficiency, and iron overload conditions for 72 h. Iron deficiency and overload conditions were mimicked by the use of iron chelator deferoxamine (DFO, Merck) and ferric ammonium citrate (FAC, Honeywell), respectively. Aqueous stocks were prepared, which were diluted 1:100 (DFO) or 1:1000 (FAC) in cell culture medium to achieve final working concentrations between 25 and 500 µM for DFO, and between 5 and 100 µM for FAC.
Exposure of Placental Cells to Lead and Cadmium
BeWo cells were seeded in 6 wells at cells 4 × 105/well. After 24 h cultivation, media were changed with treatment solutions containing different concentrations of Pb and Cd and cultured for 72 h. CdCl2 (Merck) and PbCl2 (Merck) were dissolved in dimethyl sulfoxide (DMSO, Merck) and diluted 1:1000 in cell culture medium to achieve final working concentrations of 0.5–5 µM CdCl2 and 0.5–50 µM PbCl2, respectively. Concentrations in in vitro experiments were based on previous studies on toxicity of Cd (Widhalm et al. 2020) and Pb (Gundacker et al. 2012) to placental cells and fibroblasts (IMR-90), respectively.
Cell Viability and Cytotoxicity
Cell viability and cytotoxicity were determined using RealTime-Glo MT Cell Viability Assay (Promega) and CellTox Green Cytotoxicity Assay (Promega) according to the manufacturer’s protocol. Per well of white opaque 96-well plates (Corning) 1 × 103 cells were seeded. Assay performance was validated with 10 µM ionomycin (Sigma) (Supplementary Fig. 1a, b).
Apoptosis Assay
Apoptosis was determined after 72 h using Caspase-Glo 3/7 Assay System (Promega) according to the manufacturer’s protocol. Per well of white opaque 96-well plates (Corning) 1 × 103 cells was seeded. Assay performance was validated with 1 µM staurosporin (Sigma, Supplementary Fig. 1c).
GSH/GSSG Assay
Total, oxidized, and reduced GSH, as well the ratio between reduced and oxidized forms of GSH were determined after 72 h using the GSH/GSSG-Glo Assay (Promega) according to the manufacturer`s protocol. In each well of white opaque 96-well plates (Corning), 1 × 103 cells were seeded.
Statistical Analysis
Correlation analyses (Spearman correlation coefficients, rS) and group comparisons (Mann–Whitney U test, Kruskal–Wallis test) were used to identify variables associated with the continuous outcome variables pro-BDNF, mature BDNF, and KISS-1 levels of maternal and cord serum as well as placental total BDNF and KISS-1 expression levels. Variables that were significantly and plausibly associated with the outcome variables (P < 0.05, rS > 0.10) were included into categorical regression (CATREG) analyses. CATREG assigns numerical values to categorical variables, resulting in an optimal linear regression equation for the transformed variables. It also allows ranking of predictive variables by importance using Pratt's relative importance measure. If multicollinearity was present (verified by Spearman correlation analyses), the best-fitting variable was kept. The final CATREG models were obtained upon stepwise elimination of non-significant and/or unimportant factors from the initial (crude) model by using P > 0.1 and/or Pratt coefficient < 0.05 as the elimination criteria. CATREG models were calculated using maternal serum BDNF and KISS-1 as outcome variables. As the models for pro-BDNF and mature BDNF provided the same results, only the results for pro-BDNF are shown.
The in vitro data represent mean values ± standard deviation (SD) from at least 3 independent experiments (three different BeWo cell passages or hTCs isolated from three to six different placentas) made in one to six technical replicates (for details see figure legends). Two-group comparisons were done by two-sided unpaired t test, all others by One-Way ANOVA followed by Welch’s correction.
IBM SPSS 28 and GraphPhad Prism 9 were used for statistical analyses. The critical significance level was set at α = 0.05.
Results and Discussion
Maternal Serum BDNF and KISS-1 Levels and Their Relationship to BDNF and KISS-1 Levels in Cord Serum and Placenta
Biomarkers can provide insight into biological processes, appropriate biological functionality pathogenic processes, and pharmacologic therapy responses. To do so, biomarkers must be valid (known range of conditions under which reproducible and accurate data can be assayed) and qualified (linked to the biological process or established clinical endpoint) (Wagner 2008). In the present study, we wanted to investigate whether maternal serum levels of pro-BDNF, mature BDNF, and KISS-1 could be used as biomarkers for their respective cord serum levels and with respect to placental expression of their corresponding genes, so that maternal serum levels could be useful biomarkers of placental health and even predictors of fetal (neuro)development.
BDNF is predominantly expressed in the brain, heart, and male and female reproductive tissue including placenta (Uhlen et al. 2015). Another source of BDNF release is the platelets that play a central role in the regulation of serum BDNF (Farmer et al. 2021; Fujimura et al. 2002; Le Blanc et al. 2020). However, the main source of KISS-1 in maternal serum is the placenta. KISS-1 is mainly expressed during pregnancy in the placenta followed by a much lower expression in the brain (Uhlen et al. 2015).
The pro and mature forms of BDNF, as well as KISS-1, could be detected in maternal and cord serum. Both, pro and mature BDNF levels, were slightly higher in maternal serum (mean pro-BDNF: 5365 pg/ml; mean mature BDNF: 17,644 pg/ml) than in cord serum (mean pro-BDNF: 4639 pg/ml; mean mature BDNF: 15,932 pg/ml). Furthermore, pro-BDNF levels were about 3 times lower than mature BDNF levels, both in maternal and cord serum (cord serum to maternal serum ratio of KISS-1: 1.65; pro-BDNF: 0.88; mature BDNF: 0.93). Lower levels were found for KISS-1, in maternal serum (mean 1265 pg/ml) than in cord serum (mean 1962 pg/ml). The ratio of cord to maternal levels was about 1, for both pro-BDNF and mature BDNF, while it approximated to 1.5 for KISS-1 (Fig. 1). No sex-specific differences were found for pro-BDNF, mature BDNF, or KISS-1 levels in cord serum (Supplementary Fig. 2).
Maternal and cord serum levels of pro-BDNF, mature BDNF, and KISS-1 were moderately to strongly correlated (P < 0.05; pro-BDNF: rS = 0.60; mature BDNF: rS = 0.54; KISS-1: rS = 0.71), indicating that maternal serum levels are a good proxy for cord serum levels (Fig. 2A). Similarly, moderate to strong correlations were found between pro-BDNF, mature BDNF, and KISS-1 levels in maternal serum and their respective gene expression in placental tissue (Fig. 2B; Supplementary Fig. 3).
BDNF has been proposed as a biomarker of psychiatric disorders in adults, including the occurrence of postpartum depression and other affective disorders in women with low serum BDNF levels (Dhiman et al. 2014; Gao et al. 2016; Pinheiro et al. 2012). Its potential as biomarker for impaired neurodevelopment and cognitive functions in neonates and children is unclear. However, several studies have observed associations between reduced BDNF levels in either maternal or umbilical cord serum and impaired neurodevelopment (Table 2). Our study suggests that the analysis of maternal BDNF levels could help predict placental and fetal levels, which would make it a good biomarker to address BDNF levels in these compartments.
KISS-1 is known to be involved in the neurodevelopment of rodents and zebrafish (Table 2), but it is unknown whether it is also involved in this function in humans, especially in late pregnancy. Although experimental studies with KISS-1 deficient mice (whose placenta have almost no KISS-1 expression) show normal placental structures and produce healthy offspring (Herreboudt et al. 2015), it is possible that one of the functions of KISS-1 during pregnancy in humans can maintain proper placental function (Babwah 2015). Therefore, reduced levels of KISS-1 could be indicative of an impaired placenta, which would support the developing child less efficiently, increasing its risk of inadequate development. Of note, Kisspeptin has been proposed as a biomarker of miscarriage (Sullivan-Pyke et al. 2018).
Lead and Cadmium Levels as well as Iron Status Affect BDNF and KISS-1 Levels
Pb could be quantified in maternal and cord blood erythrocytes, but not in placental tissue. In blood, Pb and Cd are mainly stored in erythrocytes and, therefore, are regarded as short-term biomarker (Malin Igra et al. 2019; Martinez-Finley et al. 2012). As there is a trend of decreasing Pb blood levels in Europe in the last decades (Gundacker et al. 2021a), this heavy metal might only marginally accumulate in placenta and its concentration thereby too low to be detected with our standard protocol but also other standard methods (e.g., Freire et al. 2019). In contrast, Cd is known to be efficiently retained in placenta (e.g., Kippler et al. 2010) and was detectable in all placenta samples, but found in only eight samples of maternal erythrocytes and in none of the cord erythrocytes (Table 1). The low to undetectable levels of Cd in blood suggest that recent exposure has been very low. Urinary Cd has been described as a measure of long-term exposure (Adams and Newcomb 2014) and, therefore, might have been a more informative exposure marker. Overall, the Pb and Cd values were within the range reported in previous studies and reviews (Esteban-Vasallo et al. 2012; Gundacker et al. 2021b; Gundacker and Hengstschläger 2012; Kelly et al. 2013). Maternal supplementation with vitamin preparations containing calcium and zinc may result in less Cd being absorbed, thus, leading to lower Cd levels in maternal blood (Liu et al. 2015; Yu et al. 2021). It is also evident that supplementation with calcium and/or zinc, and/or iron can reduce Pb exposure of pregnant and lactating women, fetuses, and children (Ettinger et al. 2007, 2009; Hernandez-Avila et al. 2003; Kordas et al. 2007).
We found that maternal Ery-Pb levels were inversely correlated with maternal serum protein KISS-1 concentrations and with placental gene KISS-1 expression (P < 0.05, Fig. 3A, B). In CATREG analysis, only maternal Ery-Pb remained a significant factor of maternal KISS-1 protein levels (Table 3). Placental Cd content correlated positively with placental BDNF gene expression (P < 0.05, Fig. 3C). However, in the CATREG analysis with placental BDNF gene expression levels as the dependent variable, placental Cd was no longer a predictive factor (P > 0.05, data not shown).
Maternal iron status was characterized by various markers, including hemoglobin, serum ferritin, and transferrin saturation (Tf, Table 1). Pregnancy iron deficiency anemia (IDA) in the third trimester is diagnosed by Hb < 11 g/dl and serum ferritin < 30 μg/l (Achebe and Gafter-Gvili 2017; Api et al. 2015; World Health Organization 2008). Maternal iron therapy had no a significant impact on the occurrence of IDA, but improved maternal iron status, as evidenced in the group of pregnant women with higher levels of serum iron, serum ferritin, serum transferrin, and transferrin saturation levels (P < 0.05, data not shown). It was also observed that low maternal iron status was associated with low BDNF levels. In regression analysis, maternal iron therapy and Tf saturation were significant modulators of maternal serum BDNF protein levels (Table 4). The models for pro-BDNF and mature BDNF provided the same results (so only the results for pro-BDNF are shown). In addition, we also found that platelet levels were associated with serum BDNF levels (Table 4), indicating the central role of thrombocytes in the regulation of serum BDNF. BDNF release from platelets has been described, but the mechanisms underlying this process have not yet been elucidated (Farmer et al. 2021; Fujimura et al. 2002; Le Blanc et al. 2020), encountering difficulties in interpreting platelet counts in related diseases.
In Vitro Confirmation of Epidemiological Findings
BDNF and KISS-1 Levels of Placental Cells Exposed to Pb and Cd
In order to confirm the findings described above, a series of in vitro experiments were conducted. BeWo cells, a widely used hTC line, were selected and treated with Pb and Cd, respectively, to determine whether metals influence BDNF and KISS-1 expression and secretion in placental cells. Metallothionein 2A (MT2A) is known to be upregulated under conditions of cellular stress exerted by exposure to toxic heavy metals like Cd. We, therefore, also analyzed MT2A gene expression in this cell line.
Pb and Cd accumulated in BeWo cells (Fig. 4). However, Cd accumulated far more efficiently (34 times more) than Pb, as 5 µM PbCl2 results in a mean cellular Pb concentration of 0.005 pg/cell, while equimolar Cd treatment led to a concentration of 0.17 pg/cell (Fig. 4A). Importantly, MT2A was only mildly upregulated by the highest Pb treatment, while it was strongly induced from the lowest Cd dose onwards (Fig. 4B). In addition, Pb treatment reduced cell number and viability, which was accompanied by increased apoptosis and cytotoxicity in a dose-dependent manner (Supplementary Fig. 4). Cd treatment of BeWo cells had no such toxic effect, likely due to the stronger power of Cd in upregulating MT2A, which has been previously described in placental cells (Widhalm et al. 2020). It is furthermore of interest that both Pb and Cd increased total, oxidized, and reduced glutathione (GSH), resulting overall in a decreased GSH/GSSG ratio, an ultimate indicator of cellular oxidative stress (Supplementary Fig. 5).
Pb-exposed BeWo cells showed decreased BDNF and KISS-1 expression (Fig. 5A), consistent to some extent for KISS-1 with the finding that maternal Ery-Pb remained the only factor associated with maternal KISS-1 levels (Table 3). Moreover, Pb-treated BeWo cells showed reduced release of pro and mature BDNF as well as of KISS-1 (Fig. 5B). To our knowledge, a relationship between Pb and KISS-1 has not yet been described. Pb, however, is well known to interfere with BDNF signaling by inhibition of N-methyl-d-aspartate (NMDA) receptor and, therefore, has been suggested as effect biomarker for Pb-induced neurodevelopmental toxicity (reviewed by Gundacker et al. 2021a, b). Although the molecular function of BDNF in the human placenta is not fully understood, BDNF is expressed in this tissue and seems to be important for placental development (Mayeur et al. 2010). Our in vitro data on placental cells confirmed to some extent that Pb has the potential to alter BDNF expression and release in the human placenta. The underlying mechanisms need to be elucidated in future studies.
Cd exposure during prenatal and early-child phase is associated with impaired neurodevelopment and deteriorations in motoric and cognitive function in children (Chatterjee and Kortenkamp 2022; Ciesielski et al. 2012; Wang et al. 2016a). Its neurotoxic effects include generation of oxidative stress by ROS formation and impairing antioxidant defense mechanisms, induction of cell death, inflammatory responses, disrupting the release of neurotransmitters (e.g., glutamate), reducing the expression of proneuronal genes, and epigenetic alterations (Gonçalves et al. 2021; Wang and Du 2013). Among the proneuronal genes that are affected by Cd, it is also BDNF. Cd levels of mothers were negatively associated with BDNF serum levels, and developmental quotients in their offspring (Wang et al. 2016b). Furthermore, adolescent males with higher Cd body burdens had increased CpG methylation at blood BDNF DNA and reduced BDNF serum levels (Rodriguez-Carrillo et al. 2022b).
In good agreement with the finding that placental Cd was associated with placental BDNF expression in our group of neonates (Fig. 3C), Cd-treated BeWo cells showed increased BDNF expression (Fig. 5A). Further discrimination between the different BDNF isoforms by ELISA revealed that the metal specifically upregulated pro-BDNF levels (Fig. 5B). It is conceivable that Cd in treated cells displaces zinc (Zn) from proteins and enzymes and thereby increases the labile Zn pool (Day et al. 1984; Urani et al. 2015). Zn in turn is known to induce BDNF mRNA expression (Hwang et al. 2011). As matrix metalloproteinase (MMP)2 and MMP9, which are involved in the formation of mature BDNF from pro-BDNF, are inhibited by Cd (Lacorte et al. 2015), this could explain, why mature BDNF levels were not upregulated by Cd exposure. Further studies should determine whether the increase in pro-BDNF, known for its pro-apoptotic features, adversely affects placental cells. This highlights that, although the placenta efficiently retains Cd, thereby protecting the fetus from direct exposure, the metal can accumulate in the placenta, potentially inhibit proper placental function, thereby having secondary adverse outcomes for fetal (neuro)development (Kippler et al. 2010; Liu et al. 2022; Vilahur et al. 2015).
BDNF and KISS-1 Levels of Placental Cells Under Iron Deficiency and Iron Overload Conditions
Since we observed that iron supplementation during pregnancy is an important factor associated with maternal serum pro-BDNF, mature BDNF, and to some degree also KISS-1 concentrations, which correlate well with placental BDNF and KISS-1 levels, we aimed to experimentally confirm the influence of iron status on BDNF and KISS-1 release from trophoblast cells.
In a first step, BeWo cells were treated with DFO (iron deficiency condition) or FAC (iron overload condition) in order to determine the release of pro-BDNF, mature BDNF, and KISS-1 into medium, analyzed by ELISA. After DFO treatment, the secretion of pro-BDNF into cell culture medium increased in a dose-dependent manner, while mature BDNF secretion decreased (Fig. 6A). Furthermore, a significant decrease of KISS-1 secretion in the medium was observed upon treatment with 500 µM of DFO (Fig. 6A). In contrast, FAC treatment led to a dose dependent, but non-significant reduction of pro-BDNF, mature BDNF, and KISS-1. These findings were confirmed in hTCs that responded in a well-comparable manner as BeWo cells (Fig. 6B). Importantly, choriocarcinoma-derived BeWo cells seemed to cope better with iron overload conditions, which could stem from the higher iron demands of cancer cells (Manz et al. 2016).
Studies in rodents have shown that iron deficiency leads to downregulation of BDNF expression in the hippocampus without compensatory upregulation of its specific receptor (tyrosine receptor kinase B) (Tran et al. 2008), furthermore that iron deficiency can cause developmental deficits by reducing the expression and function of IGF-I/II and BDNF in specific areas of the brain (Estrada et al. 2014). Such findings are in accordance with our in vitro experiments, where iron deficiency led to a decreased release of mature BDNF from BeWo cells. Notwithstanding, we have no explanation yet for the higher pro-BDNF and the lowered KISS-1 release from BeWo cells and what this would mean for proper placental function.
Strengths and Limitations of the Study
The present pilot study included 65 mother–newborn pairs. The small sample size implies the need for validation of our findings in larger follow-up studies to test the predictive potential of BDNF and KISS on reproductive and neurodevelopmental health. Limited financial resources prevented to also measure other chemicals known to interfere with BDNF levels such as BPA (Mustieles et al. 2022), phthalates (Ponsonby et al. 2016), arsenic (Pandey et al. 2017), or some pesticides (Rodriguez-Carrillo et al. 2022a) among others. Future studies could also investigate the gene variants of proteins involved in oxidative stress defense and iron metabolism [e.g., MT2A, hemochromatosis (HFE), transferrin] that may modulate the relationships observed here. We have confirmed central findings of the epidemiological study in in vitro experiments using, among others, human primary placental cells. The hybrid multidisciplinary approach, combining an epidemiological study with in vitro experiments, i.e., direct experimental testing of associations observed in human studies, is a clear strength of this study. Other strengths include the inclusion of susceptibility biomarkers (iron status parameters) and the measurement of both pro- and mature BDNF isoforms.
Conclusions
Our study demonstrates how exceptionally well maternal BDNF and KISS-1 levels are correlated with both placental gene expression and cord serum protein levels. Therefore, the maternal levels have a great potential to become validated markers of placental health and fetal (neuro)development. Interpretation of our results on KISS-1, including the in vitro results, is difficult because there are virtually no comparative data. However, our data indicate that KISS-1 is not only important at early stages of pregnancy, such as for implantation. KISS-1 levels could be regulated by maternal iron levels and/or prenatal Pb exposure, which should be the subject of further studies.
Overall, the observed associations need to be confirmed in a larger sample and validated in terms of placental, reproductive, and neurodevelopmental function. The relationships between placental BDNF levels, maternal iron status, and prenatal Pb exposure, and how their interplay affects brain development, remain to be explored.
Data Availability
The data supporting the results of this study are available upon request from the corresponding author (Claudia Gundacker).
References
Achebe MM, Gafter-Gvili A (2017) How I treat anemia in pregnancy: iron, cobalamin, and folate. Blood 129(8):940–949. https://doi.org/10.1182/blood-2016-08-672246
Adams SV, Newcomb PA (2014) Cadmium blood and urine concentrations as measures of exposure: NHANES 1999–2010. J Expo Sci Environ Epidemiol 24(2):163–170. https://doi.org/10.1038/jes.2013.55
Api O, Breyman C, Çetiner M, Demir C, Ecder T (2015) Diagnosis and treatment of iron deficiency anemia during pregnancy and the postpartum period: Iron Deficiency Anemia Working Group consensus report. Turk J Obstet Gynecol 12(3):173–181. https://doi.org/10.4274/tjod.01700
Babwah AV (2015) Uterine and placental KISS1 regulate pregnancy: what we know and the challenges that lie ahead. Reproduction 150(4):R121–R128. https://doi.org/10.1530/REP-15-0252
Binder DK, Scharfman HE (2004) Brain-derived neurotrophic factor. Growth Factors 22(3):123–131. https://doi.org/10.1080/08977190410001723308
Cannon TD, Yolken R, Buka S, Torrey EF, Collaborative Study Group on the Perinatal Origins of Severe Psychiatric D (2008) Decreased neurotrophic response to birth hypoxia in the etiology of schizophrenia. Biol Psychiatry 64(9):797–802. https://doi.org/10.1016/j.biopsych.2008.04.012
Cattaneo A, Cattane N, Begni V, Pariante CM, Riva MA (2016) The human BDNF gene: peripheral gene expression and protein levels as biomarkers for psychiatric disorders. Transl Psychiatry 6(11):e958. https://doi.org/10.1038/tp.2016.214
Chatterjee M, Kortenkamp A (2022) Cadmium exposures and deteriorations of cognitive abilities: estimation of a reference dose for mixture risk assessments based on a systematic review and confidence rating. Environ Health 21(1):69. https://doi.org/10.1186/s12940-022-00881-9
Ciesielski T, Weuve J, Bellinger DC, Schwartz J, Lanphear B, Wright RO (2012) Cadmium exposure and neurodevelopmental outcomes in U.S. children. Environ Health Perspect 120(5):758–763. https://doi.org/10.1289/ehp.1104152
Cohen-Cory S, Kidane AH, Shirkey NJ, Marshak S (2010) Brain-derived neurotrophic factor and the development of structural neuronal connectivity. Dev Neurobiol 70(5):271–288. https://doi.org/10.1002/dneu.20774
D’Souza VA, Kilari AS, Joshi AA, Mehendale SS, Pisal HM, Joshi SR (2014) Differential regulation of brain-derived neurotrophic factor in term and preterm preeclampsia. Reprod Sci 21(2):230–235. https://doi.org/10.1177/1933719113493512
Day FA, Funk AE, Brady FO (1984) In vivo and ex vivo displacement of zinc from metallothionein by cadmium and by mercury. Chem Biol Interact 50(2):159–174. https://doi.org/10.1016/0009-2797(84)90093-0
Desroziers E, Droguerre M, Bentsen AH et al (2012) Embryonic development of kisspeptin neurones in rat. J Neuroendocrinol 24(10):1284–1295. https://doi.org/10.1111/j.1365-2826.2012.02333.x
Dhiman P, Say A, Rajendiren S, Kattimani S, Sagili H (2014) Association of foetal APGAR and maternal brain derived neurotropic factor levels in postpartum depression. Asian J Psychiatry 11:82–83. https://doi.org/10.1016/j.ajp.2014.06.022
Dingsdale H, Garay SM, Tyson HR et al (2022) Cord serum brain-derived neurotrophic factor levels at birth associate with temperament outcomes at one year. J Psychiatr Res 150:47–53. https://doi.org/10.1016/j.jpsychires.2022.03.009
Dingsdale H, Nan X, Garay SM et al (2021) The placenta protects the fetal circulation from anxiety-driven elevations in maternal serum levels of brain-derived neurotrophic factor. Transl Psychiatry 11(1):62. https://doi.org/10.1038/s41398-020-01176-8
Esteban-Vasallo MD, Aragones N, Pollan M, Lopez-Abente G, Perez-Gomez B (2012) Mercury, cadmium, and lead levels in human placenta: a systematic review. Environ Health Perspect 120(10):1369–1377. https://doi.org/10.1289/ehp.1204952
Estrada JA, Contreras I, Pliego-Rivero FB, Otero GA (2014) Molecular mechanisms of cognitive impairment in iron deficiency: alterations in brain-derived neurotrophic factor and insulin-like growth factor expression and function in the central nervous system. Nutr Neurosci 17(5):193–206. https://doi.org/10.1179/1476830513Y.0000000084
Ettinger AS, Hu H, Hernandez-Avila M (2007) Dietary calcium supplementation to lower blood lead levels in pregnancy and lactation. J Nutr Biochem 18(3):172–178. https://doi.org/10.1016/j.jnutbio.2006.12.007
Ettinger AS, Lamadrid-Figueroa H, Tellez-Rojo MM et al (2009) Effect of calcium supplementation on blood lead levels in pregnancy: a randomized placebo-controlled trial. Environ Health Perspect 117(1):26–31. https://doi.org/10.1289/ehp.11868
Farmer CA, Thurm AE, Honnekeri B, Kim P, Swedo SE, Han JC (2021) The contribution of platelets to peripheral BDNF elevation in children with autism spectrum disorder. Sci Rep 11(1):18158. https://doi.org/10.1038/s41598-021-97367-4
Fiorini Z, Jasoni CL (2010) A novel developmental role for kisspeptin in the growth of gonadotrophin-releasing hormone neurites to the median eminence in the mouse. J Neuroendocrinol 22(10):1113–1125. https://doi.org/10.1111/j.1365-2826.2010.02059.x
Freire C, Amaya E, Gil F et al (2019) Placental metal concentrations and birth outcomes: the Environment and Childhood (INMA) Project. Int J Hyg Environ Health 222(3):468–478. https://doi.org/10.1016/j.ijheh.2018.12.014
Fujimura H, Altar CA, Chen R et al (2002) Brain-derived neurotrophic factor is stored in human platelets and released by agonist stimulation. Thromb Haemost 87(4):728–734
Gao X, Wang J, Yao H, Cai Y, Cheng R (2016) Serum BDNF concentration after delivery is associated with development of postpartum depression: a 3-month follow up study. J Affect Disord 200:25–30. https://doi.org/10.1016/j.jad.2016.04.002
Gonçalves JF, Dressler VL, Assmann CE, Morsch VMM, Schetinger MRC (2021) Cadmium neurotoxicity: from its analytical aspects to neuronal impairment. In: Neurotoxicity of metals: old issues and new developments. Advances in neurotoxicology. Elsevier, Amsterdam, pp 81–113
Gonzalez A, Moya-Alvarado G, Gonzalez-Billaut C, Bronfman FC (2016) Cellular and molecular mechanisms regulating neuronal growth by brain-derived neurotrophic factor. Cytoskeleton (Hoboken) 73(10):612–628. https://doi.org/10.1002/cm.21312
Gotz R, Raulf F, Schartl M (1992) Brain-derived neurotrophic factor is more highly conserved in structure and function than nerve growth factor during vertebrate evolution. J Neurochem 59(2):432–442. https://doi.org/10.1111/j.1471-4159.1992.tb09389.x
Gundacker C, Forsthuber M, Szigeti T et al (2021a) Lead (Pb) and neurodevelopment: a review on exposure and biomarkers of effect (BDNF, HDL) and susceptibility. Int J Hyg Environ Health 238:113855. https://doi.org/10.1016/j.ijheh.2021.113855
Gundacker C, Graf-Rohrmeister K, Gencik M et al (2021b) Gene variants determine placental transfer of perfluoroalkyl substances (PFAS), mercury (Hg) and lead (Pb), and birth outcome: findings from the UmMuKi Bratislava-Vienna Study. Front Genet 12:664946. https://doi.org/10.3389/fgene.2021.664946
Gundacker C, Hengstschläger M (2012) The role of the placenta in fetal exposure to heavy metals. Wien Med Wochenschr 162(9–10):201–206. https://doi.org/10.1007/s10354-012-0074-3
Gundacker C, Scheinast M, Damjanovic L, Fuchs C, Rosner M, Hengstschläger M (2012) Proliferation potential of human amniotic fluid stem cells differently responds to mercury and lead exposure. Amino Acids 43(2):937–949. https://doi.org/10.1007/s00726-011-1154-1
Hernandez-Avila M, Gonzalez-Cossio T, Hernandez-Avila JE et al (2003) Dietary calcium supplements to lower blood lead levels in lactating women: a randomized placebo-controlled trial. Epidemiology 14(2):206–212. https://doi.org/10.1097/01.EDE.0000038520.66094.34
Herreboudt AM, Kyle VR, Lawrence J, Doran J, Colledge WH (2015) Kiss1 mutant placentas show normal structure and function in the mouse. Placenta 36(1):52–58. https://doi.org/10.1016/j.placenta.2014.10.016
Hing B, Sathyaputri L, Potash JB (2018) A comprehensive review of genetic and epigenetic mechanisms that regulate BDNF expression and function with relevance to major depressive disorder. Am J Med Genet B 177(2):143–167. https://doi.org/10.1002/ajmg.b.32616
Horikoshi Y, Matsumoto H, Takatsu Y et al (2003) Dramatic elevation of plasma metastin concentrations in human pregnancy: metastin as a novel placenta-derived hormone in humans. J Clin Endocrinol Metab 88(2):914–919. https://doi.org/10.1210/jc.2002-021235
Hu KL, Chang HM, Zhao HC, Yu Y, Li R, Qiao J (2019) Potential roles for the kisspeptin/kisspeptin receptor system in implantation and placentation. Hum Reprod Update 25(3):326–343. https://doi.org/10.1093/humupd/dmy046
Hwang IY, Sun ES, An JH et al (2011) Zinc-triggered induction of tissue plasminogen activator by brain-derived neurotrophic factor and metalloproteinases. J Neurochem 118(5):855–863. https://doi.org/10.1111/j.1471-4159.2011.07322.x
Kapustin RV, Drobintseva AO, Alekseenkova EN et al (2020) Placental protein expression of kisspeptin-1 (KISS1) and the kisspeptin-1 receptor (KISS1R) in pregnancy complicated by diabetes mellitus or preeclampsia. Arch Gynecol Obstet 301(2):437–445. https://doi.org/10.1007/s00404-019-05408-1
Kawamura K, Kawamura N, Fukuda J, Kumagai J, Hsueh AJ, Tanaka T (2007) Regulation of preimplantation embryo development by brain-derived neurotrophic factor. Dev Biol 311(1):147–158. https://doi.org/10.1016/j.ydbio.2007.08.026
Kawamura K, Kawamura N, Sato W, Fukuda J, Kumagai J, Tanaka T (2009) Brain-derived neurotrophic factor promotes implantation and subsequent placental development by stimulating trophoblast cell growth and survival. Endocrinology 150(8):3774–3782. https://doi.org/10.1210/en.2009-0213
Kelly RS, Lundh T, Porta M et al (2013) Blood erythrocyte concentrations of cadmium and lead and the risk of B-cell non-Hodgkin’s lymphoma and multiple myeloma: a nested case-control study. PLoS ONE 8(11):e81892. https://doi.org/10.1371/journal.pone.0081892
Kim D, Jang S, Kim J et al (2020) Kisspeptin neuron-specific and self-sustained calcium oscillation in the hypothalamic arcuate nucleus of neonatal mice: regulatory factors of its synchronization. Neuroendocrinology 110(11–12):1010–1027. https://doi.org/10.1159/000505922
Kippler M, Hoque AM, Raqib R, Ohrvik H, Ekstrom EC, Vahter M (2010) Accumulation of cadmium in human placenta interacts with the transport of micronutrients to the fetus. Toxicol Lett 192(2):162–168. https://doi.org/10.1016/j.toxlet.2009.10.018
Kordas K, Lonnerdal B, Stoltzfus RJ (2007) Interactions between nutrition and environmental exposures: effects on health outcomes in women and children. J Nutr 137(12):2794–2797. https://doi.org/10.1093/jn/137.12.2794
Kowianski P, Lietzau G, Czuba E, Waskow M, Steliga A, Morys J (2018) BDNF: a key factor with multipotent impact on brain signaling and synaptic plasticity. Cell Mol Neurobiol 38(3):579–593. https://doi.org/10.1007/s10571-017-0510-4
Kumar D, Periasamy V, Freese M, Voigt A, Boehm U (2015) In utero development of Kisspeptin/GnRH neural circuitry in male mice. Endocrinology 156(9):3084–3090. https://doi.org/10.1210/EN.2015-1412
Lacorte LM, Rinaldi JC, Justulin LA Jr, Delella FK, Moroz A, Felisbino SL (2015) Cadmium exposure inhibits MMP2 and MMP9 activities in the prostate and testis. Biochem Biophys Res Commun 457(4):538–541. https://doi.org/10.1016/j.bbrc.2015.01.019
Le Blanc J, Fleury S, Boukhatem I, Belanger JC, Welman M, Lordkipanidze M (2020) Platelets selectively regulate the release of BDNF, but not that of its precursor protein, proBDNF. Front Immunol 11:575607. https://doi.org/10.3389/fimmu.2020.575607
Li H, Lin LY, Zhang Y et al (2020) Pro-BDNF knockout causes abnormal motor behaviours and early death in mice. Neuroscience 438:145–157. https://doi.org/10.1016/j.neuroscience.2020.05.007
Liu WB, Zhu HL, Xiong YW, Lv J, Huang YC, Wang H (2022) Environmental cadmium exposure during gestation impairs fetal brain and cognitive function of adult offspring via reducing placenta-derived E2 level. Chemosphere 307(Pt 1):135668. https://doi.org/10.1016/j.chemosphere.2022.135668
Liu Y, Chen Q, Wei X et al (2015) Relationship between perinatal antioxidant vitamin and heavy metal levels and the growth and cognitive development of children at 5 years of age. Asia–Pac J Clin Nutr 24(4):650–658. https://doi.org/10.6133/apjcn.2015.24.4.25
Luft C, da Costa MS, Antunes GL, de Oliveira JR, Donadio MVF (2022) The role of maternal exercise on placental, behavioral and genetic alterations induced by prenatal stress. Neurochem Int 158:105384. https://doi.org/10.1016/j.neuint.2022.105384
Malin Igra A, Vahter M, Raqib R, Kippler M (2019) Early-life cadmium exposure and bone-related biomarkers: a longitudinal study in children. Environ Health Perspect 127(3):37003. https://doi.org/10.1289/EHP3655
Manz DH, Blanchette NL, Paul BT, Torti FM, Torti SV (2016) Iron and cancer: recent insights. Ann NY Acad Sci 1368(1):149–161. https://doi.org/10.1111/nyas.13008
Martinez-Finley EJ, Chakraborty S, Fretham SJ, Aschner M (2012) Cellular transport and homeostasis of essential and nonessential metals. Metallomics 4(7):593–605. https://doi.org/10.1039/c2mt00185c
Mayeur S, Silhol M, Moitrot E et al (2010) Placental BDNF/TrkB signaling system is modulated by fetal growth disturbances in rat and human. Placenta 31(9):785–791. https://doi.org/10.1016/j.placenta.2010.06.008
Mills EGA, Patel B, Dhillo WS (2022) 4.07 - Kisspeptin: from bench to bedside. In T. Kenakin (Ed) Comprehensive pharmacology (pp 139–154). Elsevier. https://doi.org/10.1016/B978-0-12-820472-6.00021-9
Mustieles V, D’Cruz SC, Couderq S et al (2020) Bisphenol A and its analogues: a comprehensive review to identify and prioritize effect biomarkers for human biomonitoring. Environ Int 144:105811. https://doi.org/10.1016/j.envint.2020.105811
Mustieles V, Rodriguez-Carrillo A, Vela-Soria F et al (2022) BDNF as a potential mediator between childhood BPA exposure and behavioral function in adolescent boys from the INMA-Granada Cohort. Sci Total Environ 803:150014. https://doi.org/10.1016/j.scitotenv.2021.150014
Pandey R, Rai V, Mishra J, Mandrah K, Kumar Roy S, Bandyopadhyay S (2017) From the cover: arsenic induces hippocampal neuronal apoptosis and cognitive impairments via an up-regulated BMP2/Smad-dependent reduced BDNF/TrkB signaling in rats. Toxicol Sci 159(1):137–158. https://doi.org/10.1093/toxsci/kfx124
Pascual-Mancho J, Pintado-Recarte P, Morales-Camino JC et al (2022) Brain-derived neurotrophic factor levels in cord blood from growth restricted fetuses with Doppler alteration compared to adequate for gestational age fetuses. Medicina (Kaunas). https://doi.org/10.3390/medicina58020178
Pinheiro RT, Pinheiro KA, da Cunha Coelho FM et al (2012) Brain-derived neurotrophic factor levels in women with postpartum affective disorder and suicidality. Neurochem Res 37(10):2229–2234. https://doi.org/10.1007/s11064-012-0851-9
Polacchini A, Metelli G, Francavilla R et al (2015) A method for reproducible measurements of serum BDNF: comparison of the performance of six commercial assays. Sci Rep 5:17989. https://doi.org/10.1038/srep17989
Ponsonby AL, Symeonides C, Vuillermin P, Mueller J, Sly PD, Saffery R (2016) Epigenetic regulation of neurodevelopmental genes in response to in utero exposure to phthalate plastic chemicals: how can we delineate causal effects? Neurotoxicology 55:92–101. https://doi.org/10.1016/j.neuro.2016.05.011
Pruunsild P, Kazantseva A, Aid T, Palm K, Timmusk T (2007) Dissecting the human BDNF locus: bidirectional transcription, complex splicing, and multiple promoters. Genomics 90(3):397–406. https://doi.org/10.1016/j.ygeno.2007.05.004
Radovick S, Babwah AV (2019) Regulation of Pregnancy: evidence for major roles by the uterine and placental kisspeptin/KISS1R signaling systems. Semin Reprod Med 37(4):182–190. https://doi.org/10.1055/s-0039-3400966
Rao R, Mashburn CB, Mao J, Wadhwa N, Smith GM, Desai NS (2009) Brain-derived neurotrophic factor in infants < 32 weeks gestational age: correlation with antenatal factors and postnatal outcomes. Pediatr Res 65(5):548–552. https://doi.org/10.1203/PDR.0b013e31819d9ea5
Reynolds RM, Logie JJ, Roseweir AK, McKnight AJ, Millar RP (2009) A role for kisspeptins in pregnancy: facts and speculations. Reproduction 138(1):1–7. https://doi.org/10.1530/REP-09-0026
Rodrigues-Amorim D, Rivera-Baltanas T, Bessa J et al (2018) The neurobiological hypothesis of neurotrophins in the pathophysiology of schizophrenia: a meta-analysis. J Psychiatr Res 106:43–53. https://doi.org/10.1016/j.jpsychires.2018.09.007
Rodriguez-Carrillo A, D’Cruz SC, Mustieles V et al (2022a) Exposure to non-persistent pesticides, BDNF, and behavioral function in adolescent males: exploring a novel effect biomarker approach. Environ Res 211:113115. https://doi.org/10.1016/j.envres.2022.113115
Rodriguez-Carrillo A, Mustieles V, D’Cruz SC et al (2022b) Exploring the relationship between metal exposure, BDNF, and behavior in adolescent males. Int J Hyg Environ Health 239:113877. https://doi.org/10.1016/j.ijheh.2021.113877
Rodriguez-Carrillo A, Remy S, D’Cruz SC, et al. (2022c) Kisspeptin as potential biomarker of environmental chemical mixtures effect on reproductive hormone profile: a pilot study in adolescent males. Available at SSRN. https://doi.org/10.2139/ssrn.4271357
Rosenfeld CS (2020) The placenta–brain-axis. J Neurosci Res. https://doi.org/10.1002/jnr.24603
Sasi M, Vignoli B, Canossa M, Blum R (2017) Neurobiology of local and intercellular BDNF signaling. Pflugers Arch 469(5–6):593–610. https://doi.org/10.1007/s00424-017-1964-4
Skogstrand K, Hagen CM, Borbye-Lorenzen N et al (2019) Reduced neonatal brain-derived neurotrophic factor is associated with autism spectrum disorders. Transl Psychiatry 9(1):252. https://doi.org/10.1038/s41398-019-0587-2
Straka E, Ellinger I, Balthasar C et al (2016) Mercury toxicokinetics of the healthy human term placenta involve amino acid transporters and ABC transporters. Toxicology 340:34–42. https://doi.org/10.1016/j.tox.2015.12.005
Su CH, Liu TY, Chen IT et al (2021) Correlations between serum BDNF levels and neurodevelopmental outcomes in infants of mothers with gestational diabetes. Pediatr Neonatol 62(3):298–304. https://doi.org/10.1016/j.pedneo.2020.12.012
Sullivan-Pyke C, Haisenleder DJ, Senapati S et al (2018) Kisspeptin as a new serum biomarker to discriminate miscarriage from viable intrauterine pregnancy. Fertil Steril 109(1):137-141.e2. https://doi.org/10.1016/j.fertnstert.2017.09.029
Tng EL (2015) Kisspeptin signalling and its roles in humans. Singap Med J 56(12):649–656. https://doi.org/10.11622/smedj.2015183
Tran PV, Carlson ES, Fretham SJ, Georgieff MK (2008) Early-life iron deficiency anemia alters neurotrophic factor expression and hippocampal neuron differentiation in male rats. J Nutr 138(12):2495–2501. https://doi.org/10.3945/jn.108.091553
Tsoutsouki J, Patel B, Comninos AN, Dhillo WS, Abbara A (2022) Kisspeptin in the prediction of pregnancy complications. Front Endocrinol (Lausanne) 13:942664. https://doi.org/10.3389/fendo.2022.942664
Uhlen M, Fagerberg L, Hallstrom BM et al (2015) Proteomics. Tissue-based map of the human proteome. Science 347(6220):1260419. https://doi.org/10.1126/science.1260419
Urani C, Melchioretto P, Bruschi M, Fabbri M, Sacco MG, Gribaldo L (2015) Impact of cadmium on intracellular zinc levels in HepG2 cells: quantitative evaluations and molecular effects. Biomed Res Int 2015:949514. https://doi.org/10.1155/2015/949514
Vilahur N, Vahter M, Broberg K (2015) The epigenetic effects of prenatal cadmium exposure. Curr Environ Health Rep 2(2):195–203. https://doi.org/10.1007/s40572-015-0049-9
Wagner JA (2008) Strategic approach to fit-for-purpose biomarkers in drug development. Annu Rev Pharmacol Toxicol 48:631–651. https://doi.org/10.1146/annurev.pharmtox.48.113006.094611
Wang B, Du Y (2013) Cadmium and its neurotoxic effects. Oxid Med Cell Longev 2013:898034. https://doi.org/10.1155/2013/898034
Wang H, Liu L, Hu YF et al (2016a) Association of maternal serum cadmium level during pregnancy with risk of preterm birth in a Chinese population. Environ Pollut 216:851–857. https://doi.org/10.1016/j.envpol.2016.06.058
Wang Y, Chen L, Gao Y et al (2016b) Effects of prenatal exposure to cadmium on neurodevelopment of infants in Shandong, China. Environ Pollut 211:67–73. https://doi.org/10.1016/j.envpol.2015.12.038
Widhalm R, Ellinger I, Granitzer S et al (2020) Human placental cell line HTR-8/SVneo accumulates cadmium by divalent metal transporters DMT1 and ZIP14. Metallomics 12(11):1822–1833. https://doi.org/10.1039/d0mt00199f
World Health Organization (2008). In: de Benoist B, McLean E, Egli I, Cogswell M (eds) Worldwide prevalence of anaemia 1993–2005: WHO global database on anaemia. World Health Organization, Geneva
Yu HT, Zhen J, Leng JY, Cai L, Ji HL, Keller BB (2021) Zinc as a countermeasure for cadmium toxicity. Acta Pharmacol Sin 42(3):340–346. https://doi.org/10.1038/s41401-020-0396-4
Yu X, Chen L, Wang C, Yang X, Gao Y, Tian Y (2016) The role of cord blood BDNF in infant cognitive impairment induced by low-level prenatal manganese exposure: LW birth cohort, China. Chemosphere 163:446–451. https://doi.org/10.1016/j.chemosphere.2016.07.095
Zhao Y, Lin MC, Mock A, Yang M, Wayne NL (2014) Kisspeptins modulate the biology of multiple populations of gonadotropin-releasing hormone neurons during embryogenesis and adulthood in zebrafish (Danio rerio). PLoS ONE 9(8):e104330. https://doi.org/10.1371/journal.pone.0104330
Zhu N, Zhao M, Song Y, Ding L, Ni Y (2022) The KiSS-1/GPR54 system: essential roles in physiological homeostasis and cancer biology. Genes Dis 9(1):28–40. https://doi.org/10.1016/j.gendis.2020.07.008
Funding
Open access funding provided by Medical University of Vienna. The study was funded within the HBM4EU Project from the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 733032 and by GFF (Gesellschaft für Forschungsförderung Niederösterreich, LifeScience2017) under Project Number LS17-008.
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by SG and RW. The first draft of the manuscript was written by CG, RW, and GS. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Granitzer, S., Widhalm, R., Atteneder, S. et al. BDNF and KISS-1 Levels in Maternal Serum, Umbilical Cord, and Placenta: The Potential Role of Maternal Levels as Effect Biomarker. Expo Health 16, 445–461 (2024). https://doi.org/10.1007/s12403-023-00565-w
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DOI: https://doi.org/10.1007/s12403-023-00565-w