Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-28T08:49:36.696Z Has data issue: false hasContentIssue false

Longitudinal course of endocannabinoids and N-acylethanolamines in hair of mothers and their children in the first year postpartum: investigating the relevance of maternal childhood maltreatment experiences

Published online by Cambridge University Press:  18 May 2023

Melissa Hitzler*
Affiliation:
Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
Lynn Matits
Affiliation:
Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany Division of Sports and Rehabilitation Medicine, Department of Medicine, Ulm University Hospital, Ulm, Germany
Anja M. Gumpp
Affiliation:
Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
Alexandra M. Bach
Affiliation:
Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
Ute Ziegenhain
Affiliation:
Department of Child and Adolescent Psychiatry, Ulm University Hospital, Ulm, Germany
Wei Gao
Affiliation:
Department of Biopsychology, Technische Universität Dresden, Dresden, Germany
Iris-Tatjana Kolassa
Affiliation:
Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
Alexander Behnke
Affiliation:
Clinical and Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
*
Corresponding author: Melissa Hitzler; Email: melissa.hitzler@uni-ulm.de
Rights & Permissions [Opens in a new window]

Abstract

Background

Childhood maltreatment (CM) exerts long-lasting psychological and biological alterations in affected individuals and might also affect the endocannabinoid (eCB) system which modulates inflammation and the endocrine stress response. Here, we investigated the eCB system of women with and without CM and their infants using hair samples representing eCB levels accumulated during the last trimester of pregnancy and 10–12 months postpartum.

Methods

CM exposure was assessed with the Childhood Trauma Questionnaire. At both timepoints, 3 cm hair strands were collected from mothers and children (N = 170 resp. 150) to measure anandamide (AEA), 2/1-arachidonoylglycerol (2-AG/1-AG), stearoylethanolamide (SEA), oleoylethanolamide (OEA), and palmitoylethanolamide (PEA).

Results

Maternal hair levels of 2-AG/1-AG increased and SEA levels decreased from late pregnancy to one year postpartum. Maternal CM was associated with lower SEA levels in late pregnancy, but not one year later. In the children's hair, levels of 2-AG/1-AG increased while levels of SEA, OEA, and PEA decreased from late pregnancy to one year later. Maternal CM was not consistently associated with the eCB levels measured in children's hair.

Conclusions

We provide first evidence for longitudinal change in the eCB system of mothers and infants from pregnancy to one year later. While maternal CM influenced the maternal eCB system, we found no consistent intergenerational effects on early regulation of the eCB system in children. Longitudinal research on the importance of the eCB system for the course and immunoregulation of pregnancy as well as for the children's development.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Introduction

Adverse experiences during sensitive developmental periods cause profound and persistent psychological and physiological alterations that establish a lifetime vulnerability to negative sequelae of stress (Min, Minnes, Kim, & Singer, Reference Min, Minnes, Kim and Singer2013; Nemeroff, Reference Nemeroff2016). Individuals with a history of childhood maltreatment (CM), i.e., sexual abuse as well as physical and emotional maltreatment and neglect, were shown to develop more mental and physical health problems than individuals without a CM history, especially when encountering additional stressors later in life (Hitzler et al., Reference Hitzler, Behnke, Gündel, Ziegenhain, Kindler, Kolassa and Zimmermann2022; McLaughlin, Conron, Koenen, & Gilman, Reference McLaughlin, Conron, Koenen and Gilman2010; Thakkar & McCanne, Reference Thakkar and McCanne2000). Increased sensitivity to stress in CM-affected individuals was repeatedly linked to alterations in the regulation of physiological stress-response systems, including the hypothalamus-pituitary-adrenal (HPA) axis with its glucocorticoid hormone cortisol, as well as to increased reactivity of the immune system along with chronic low-grade inflammation (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016; Carpenter et al., Reference Carpenter, Carvalho, Tyrka, Wier, Mello, Mello and Price2007; Danese & Baldwin, Reference Danese and Baldwin2017; Koenig et al., Reference Koenig, Ramo-Fernández, Boeck, Umlauft, Pauly, Binder and Kolassa2018a; Strueber, Strueber, & Roth, Reference Strueber, Strueber and Roth2014). However, findings on HPA-axis activity and inflammation in the context of CM are still incomplete and their interplay with other biological mechanisms is insufficiently understood.

Therefore, recent research on the consequences of early adversity has increasingly focused on the endocannabinoid (eCB) system (e.g. Bassir Nia, Bender, & Harpaz-Rotem, Reference Bassir Nia, Bender and Harpaz-Rotem2019; Behnke et al., Reference Behnke, Karabatsiakis, Krumbholz, Karrasch, Schelling, Kolassa and Rojas2020; Koenig et al., Reference Koenig, Gao, Umlauft, Schury, Reister, Kirschbaum and Kolassa2018b), as it critically co-regulates the HPA axis and the activity of immune cells (review in Hauer, Toth, & Schelling, Reference Hauer, Toth, Schelling and Chouker2020; Hillard, Reference Hillard2018; Riebe & Wotjak, Reference Riebe and Wotjak2011). The eCB system comprises the eCBs anandamide (N-arachidonoylethanolamine, AEA) and 2-arachidonoylglycerol (2-AG), their endogenous cannabinoid receptors (e.g. CB1 and CB2), and degrading enzymes such as fatty acid amide hydrolase (FAAH) (Joshi & Onaivi, Reference Joshi, Onaivi and Bukiya2019). eCB are bioactive signaling lipids that allow fast adaption to changing stress conditions as they are synthesized on demand from cell membranes of the central nervous system, blood and immune cells, and other peripheral tissues (Tsuboi, Uyama, Okamoto, & Ueda, Reference Tsuboi, Uyama, Okamoto and Ueda2018). Furthermore, the eCB system comprises various N-acylethanolamides (NAEs), including palmitoylethanolamide (PEA), oleoylethanolamide (OEA), and stearoylethanolamide (SEA) (Dlugos, Childs, Stuhr, Hillard, & de Wit, Reference Dlugos, Childs, Stuhr, Hillard and de Wit2012), which are structurally highly similar to AEA and may enhance its effects (Ho, Barrett, & Randall, Reference Ho, Barrett and Randall2008; Jonsson, Vandevoorde, Lambert, Tiger, & Fowler, Reference Jonsson, Vandevoorde, Lambert, Tiger and Fowler2001). NAEs do not seem to be biologically active under physiological conditions, but rather exhibit their properties and functions only under certain conditions, i.e., stress (Hauer et al., Reference Hauer, Schelling, Gola, Campolongo, Morath, Roozendaal and Kolassa2013; Reference Hauer, Toth, Schelling and Chouker2020). The eCB system acts as a pivotal co-regulator of HPA-axis activity: AEA suppresses HPA-axis activity by binding to CB1 receptors (Hill et al., Reference Hill, McLaughlin, Pan, Fitzgerald, Roberts, Lee and Hillard2011). Confronted with a stressor, FAAH rapidly degrades AEA to disinhibit the HPA axis which eventually initiates the secretion of glucocorticoids from the adrenal glands. As negative feedback, the secretion of cortisol stimulates the synthesis of 2-AG which restores HPA-axis homeostasis and normalizes AEA levels (Bassir Nia et al., Reference Bassir Nia, Bender and Harpaz-Rotem2019; Hauer et al., Reference Hauer, Toth, Schelling and Chouker2020). This regulation is also mirrored through negative associations between 2-AG and glucocorticoid levels measured in the hair of adults (Behnke et al., Reference Behnke, Gumpp, Krumbholz, Bach, Schelling, Kolassa and Rojas2021; Reference Behnke, Karabatsiakis, Krumbholz, Karrasch, Schelling, Kolassa and Rojas2020) and during pregnancy (Krumbholz, Anielski, Reisch, Schelling, & Thieme, Reference Krumbholz, Anielski, Reisch, Schelling and Thieme2013).

Moreover, eCBs, NAEs, and their receptors seem to modulate inflammatory activity by downregulating inflammation and pain via different pathways (Berdyshev et al., Reference Berdyshev, Kosiakova, Onopchenko, Panchuk, Stoika and Hula2015; Dalle Carbonare et al., Reference Dalle Carbonare, Del Giudice, Stecca, Colavito, Fabris, D'Arrigo and Leon2008; Gallego-Landin, García-Baos, Castro-Zavala, & Valverde, Reference Gallego-Landin, García-Baos, Castro-Zavala and Valverde2021; Hillard, Reference Hillard2018). For example, to restore immune reactions back to baseline, 2-AG binds to CB2 receptors on immune cells, reducing their release of pro-inflammatory cytokines (Hillard, Reference Hillard2018; Tsuboi et al., Reference Tsuboi, Uyama, Okamoto and Ueda2018). SEA, PEA, and OEA were also found to reduce peripheral inflammation and cytokine secretion (Berdyshev et al., Reference Berdyshev, Kosiakova, Onopchenko, Panchuk, Stoika and Hula2015; Dalle Carbonare et al., Reference Dalle Carbonare, Del Giudice, Stecca, Colavito, Fabris, D'Arrigo and Leon2008). Correspondingly, a number of studies linked higher peripheral eCB and NAE concentrations to inflammatory states (Barrie & Manolios, Reference Barrie and Manolios2017; Berdyshev et al., Reference Berdyshev, Kosiakova, Onopchenko, Panchuk, Stoika and Hula2015; Crowe, Nass, Gabella, & Kinsey, Reference Crowe, Nass, Gabella and Kinsey2014). Despite these results, the regulatory direction in the crosstalk of eCBs and NAEs and the immune response is not yet fully understood and could also be bidirectional (Hauer et al., Reference Hauer, Toth, Schelling and Chouker2020).

As the eCB system modulates endocrine stress and immune homeostasis, research has highlighted the importance of the eCB system in the etiology of stress-related mental health problems. Although this is supported by studies showing reduced blood levels of eCBs and NAEs in individuals with PTSD (Hill et al., Reference Hill, Bierer, Makotkine, Golier, Galea, McEwen and Yehuda2013; Neumeister, Seidel, Ragen, & Pietrzak, Reference Neumeister, Seidel, Ragen and Pietrzak2015) and major depression (Hill, Miller, Ho, Gorzalka, & Hillard, Reference Hill, Miller, Ho, Gorzalka and Hillard2008; Reference Hill, Miller, Carrier, Gorzalka and Hillard2009), other studies have failed toreplicate these associations or have even found the contrary (Behnke et al., Reference Behnke, Gumpp, Krumbholz, Bach, Schelling, Kolassa and Rojas2021; deRoon-Cassini et al., Reference deRoon-Cassini, Bergner, Chesney, Schumann, Lee, Brasel and Hillard2022; Hauer et al., Reference Hauer, Schelling, Gola, Campolongo, Morath, Roozendaal and Kolassa2013; Romero-Sanchiz et al., Reference Romero-Sanchiz, Nogueira-Arjona, Pastor, Araos, Serrano, Boronat and de Fonseca2019). While circulating eCB concentrations in blood are highly fluctuating depending on circadian rhythmicity and acute stressors (Vaughn et al., Reference Vaughn, Denning, Stuhr, de Wit, Hill and Hillard2010; Voegel, Baumgartner, Kraemer, Wüst, & Binz, Reference Voegel, Baumgartner, Kraemer, Wüst and Binz2021), hair analyses provide a more stable retrospective measurement of long-term eCB accumulation over weeks and months (Gao, Schmidt, Enge, & Kirschbaum, Reference Gao, Schmidt, Enge and Kirschbaum2021; Krumbholz et al., Reference Krumbholz, Anielski, Reisch, Schelling and Thieme2013). In hair, higher eCB and NAE levels were associated with depressive symptoms and CM (Behnke et al., Reference Behnke, Karabatsiakis, Krumbholz, Karrasch, Schelling, Kolassa and Rojas2020; Croissant et al., Reference Croissant, Glaesmer, Klucken, Kirschbaum, Gao, Stalder and Sierau2020), whereas trauma-exposed individuals with and without PTSD showed reduced levels of eCBs and NAEs in hair (Wilker et al., Reference Wilker, Pfeiffer, Elbert, Ovuga, Karabatsiakis, Krumbholz and Kolassa2016).

Previously, we provided initial evidence on the relevance of the eCB system for the intergenerational transmission of CM: Using hair samples to represent the last trimester of pregnancy, we found that mothers with a CM history showed higher hair concentrations of 1-AG and of lower SEA compared to mothers without CM. Correspondingly, their newborns showed higher levels of 1-AG and OEA as compared to newborns of mothers without a CM history (Koenig et al., Reference Koenig, Gao, Umlauft, Schury, Reister, Kirschbaum and Kolassa2018b). CM-related alterations in newborn eCB and NAE levels could indicate that children are intergenerationally affected by the consequences of their mothers' CM experiences. However, it is unclear to date, whether these CM-related alterations in eCB and NAE levels persist in mothers and their children beyond the physiologically challenging period of pregnancy and birth. In general, little is known about the temporal fluctuation of eCBs in hair. First results indicate a relatively low intraindividual variation in healthy adults (Gao et al., Reference Gao, Schmidt, Enge and Kirschbaum2021); however, eCB levels were reported to fluctuate across pregnancy (Krumbholz et al., Reference Krumbholz, Anielski, Reisch, Schelling and Thieme2013). It is to be investigated whether the postpartum period involves alterations in the eCB system. This is quite conceivable, since successful pregnancy depends on the time- and tissue-specific regulation of eCBs and NAEs within the reproductive system (Fonseca et al., Reference Fonseca, Correia-da-Silva, Taylor, Lam, Marczylo, Bell and Teixeira2010a, Reference Fonseca, Correia-da-Silva, Taylor, Lam, Marczylo, Konje and Teixeira2010b; Kozakiewicz, Grotegut, & Howlett, Reference Kozakiewicz, Grotegut and Howlett2021; Maia, Fonseca, Teixeira, & Correia-da-Silva, Reference Maia, Fonseca, Teixeira and Correia-da-Silva2020; Taylor et al., Reference Taylor, Amoako, Bambang, Karasu, Gebeh, Lam and Konje2010), and since extensive (ovarian) hormonal and immunological transitions from pregnancy to the postpartum recovery presumably affect the eCB system (Kozakiewicz et al., Reference Kozakiewicz, Grotegut and Howlett2021; Lam et al., Reference Lam, Marczylo, El-Talatini, Finney, Nallendran, Taylor and Konje2008). Likewise, the early development of the eCB system in newborns has not yet been characterized.

Therefore, this study is the first to characterize the longitudinal development of the eCB system in mothers and newborns during the first year postpartum. Building on our previous findings (Koenig et al., Reference Koenig, Gao, Umlauft, Schury, Reister, Kirschbaum and Kolassa2018b), we expected altered maternal and infant eCB and NAE hair concentrations in the last trimester of pregnancy depending on maternal CM history. With the present study, we provide novel evidence on how intergenerational CM-related alterations in the eCB system evolve in the first year postpartum.

Materials and methods

Participants and study procedures

Female participants were recruited for the longitudinal study ‘My Childhood – Your Childhood’ which investigates risk and resilience factors in the intergenerational transmission of CM in a healthy community sample of mother–infant dyads (for details see Hitzler et al., Reference Hitzler, Behnke, Gündel, Ziegenhain, Kindler, Kolassa and Zimmermann2022 and online Supplementary Fig. S1). Women were approached in the maternity ward shortly after parturition [t 0: on average after M (s.d.) = 2.6 (1.7) days] and for follow-up measurements at 3 months (t 1) and 12 months (t 2) after birth. Exclusion criteria for study participation were insufficient knowledge of German language, severe complications during parturition (e.g. stillbirth), severe health problems of mother or child (e.g. admission to intensive care), and maternal age under 18 years. Online Supplementary Figs S1 and S2 detail study flow, recruitment process, and dropout rates of all measurement points. All study procedures have been approved by the Ulm University ethics committee and were in accordance with the Declaration of Helsinki.

Hair was collected from mothers (t 0: N = 474; t 2: N = 244) and children (t 0: N = 331; t 2: N = 237) at t 0 and t 2. Due to limited material, the analysis of steroid hormones was prioritized (data not shown here). At t 0, sufficient material for additional eCB and NAE quantification was available for 150 mothers and 92 children; and at t 2, eCB and NAE levels were measured in the hair of 148 mothers and 170 children. Complete eCB and NAE data from both measurement points were available from in a subsample of N = 63 mothers and N = 45 children (see online Supplementary Fig. S2 for details).

Sociodemographic, clinical, and hair characteristics of the investigated sample can be found in Table 1. Except for a higher severity of reported CM experiences, mothers with and without CM showed no statistically significant differences in any of the descriptive characteristics. Children with or without maternal CM did not differ in any relevant descriptive characteristics.

Table 1. Sociodemographic and clinical characteristics for mothers and children shortly after parturition (t 0) and 12 months postpartum (t 2)

Note: Sample characteristics were calculated with the maximal number of cases available: b N = 143; d N = 140; f N = 142; g N = 149; h N = 146; i N = 96; k N = 164; l N = 120.

a Other origins in descending order: Eastern Europe; Brasil, Austria, France; Africa.

c BMI was not calculated at t0, as body weight was not reliable due to weight changes in pregnancy.

e Mainly major depressive and anxiety disorders.

j Only a small percentage of mothers had red (n = 4) or black (n = 3) as natural hair color.

* At least 10 years of high school education.

n = 9 women started counseling since birth.

Hair treatment: Coloration, permanent waving; regular use of curling iron or hair straightener; hair bleaching; other chemical hair treatment.

Clinical measures

After obtaining written informed consent, socio-demographic, clinical, and hair characteristics (hair treatment: coloration, bleaching, waving; frequency of hair washing) were assessed in a diagnostic interview (t0; see Table 1). In addition, hair samples of mothers and newborns were collected. A maternal history of CM was retrospectively assessed using the German version of the Childhood Trauma Questionnaire (CTQ; Bader, Hänny, Schäfer, Neuckel, & Kuhl, Reference Bader, Hänny, Schäfer, Neuckel and Kuhl2009; Bernstein & Fink, Reference Bernstein and Fink1998) covering the five subscales emotional, physical, and sexual abuse, as well as emotional and physical neglect. Due to the emotionally sensitive situation of the participating women, trained psychologists conducted the CTQ as an interview to ensure adequate care in case of possible psychological distress during the recording of stressors. The cumulative severity of CM experiences (CM load) was operationalized through the CTQ sum score (possible range: 25–125). Around 12 months postpartum [t 2: M (s.d.) = 378.0 (34.9) days after birth], the women were re-invited to a second follow-up, comprising a psychological interview as well as the assessment of clinical, medical, and hair-related data (see Table 1).

Hair endocannabinoid analysis

Hair collection

At t 0 and t 2, hair samples were collected and processed by trained academic staff, using laboratory gloves to avoid contamination of hair with skin moisture. In mothers, optimally three hair strands (~3 mm diameter each) were cut close to the scalp from the posterior vertex position. If this sampling location was not possible in the children due to sparse hair, samples were taken from the sites where the most hair was present, usually at the hairline beneath the ear. The newborns' hair collected after parturition (t 0) was washed with clear water to preclude contamination with blood or amniotic fluid.

Pre-processing

In a standardized procedure, the 3 cm hair segment was cut proximal to the scalp. Due to an approximate adult hair growth of ~1 cm/month (Wennig, Reference Wennig2000), the 3 cm hair segment proximal to the scalp reflects maternal cumulative eCB concentration incorporated in the last trimester of pregnancy. Fetal/neonatal hair grows slower with ~1 cm in three months during the whole third trimester of pregnancy (cf. Gareri and Koren, Reference Gareri and Koren2010). Therefore, to display the metabolic activity during the last three prenatal months, hair from newborns collected at t 0 was cut into 1 cm segments. At t 2, the proximal 3 cm hair segment of mothers and children was used for analyses, reflecting month 10 to 12 postpartum (for details see online Supplementary information S1). Cut hair was weighed (range 4–6 mg) and placed into Falcon tubes. For sample details and missing data see online Supplementary information S1 and Fig. S2.

Mass spectrometric measure of eCB and NAE

The hair eCB concentrations of AEA, 2-AG, OEA, SEA, and PEA were quantified with LC-MS/MS mass spectrometry following the previously published protocol of Gao, Walther, Wekenborg, Penz, and Kirschbaum (Reference Gao, Walther, Wekenborg, Penz and Kirschbaum2020). At t 0, AEA quantification was only successful in a small subsample of mothers. Moreover, as AEA concentrations are rather low in hair, AEA in the current cohort had most values under detection limit, even when sufficient material was available for analysis (see online Supplementary Fig. S2). Thus, AEA had to be precluded from some of the subsequent analyses. Note that the measure of 2-AG is combined with its biologically inactive analog 1-AG that is rapidly isomerized from 2-AG through an acyl-group migration (Sugiura et al., Reference Sugiura, Kodaka, Kondo, Tonegawa, Nakane, Kishimoto and Waku1996), presumably due to the extraction method during the analyses process (Zoerner et al., Reference Zoerner, Batkai, Suchy, Gutzki, Engeli, Jordan and Tsikas2012). Hence, a commonly used approach is to sum the acquired individual peak areas of 2-AG and 1-AG, assuming that 1-AG originates primarily from 2-AG. Thus, the combined measure of 2-AG and 1-AG is indicated as 2-AG/1-AG in this study.

Statistical analyses

Statistics were calculated with R version 4.2.1 (R Core Team, 2019). In case of non-normal distributed or non-interval scaled variables, Spearman's rank correlations (r s) were computed. Depending on normality and equality of variances, groups were compared using independent Student's t tests and non-paired Wilcoxon rank-sum tests.

Linear mixed-effects models were calculated to assess how eCB and NAE hair concentrations evolve in the first year after birth depending on CM. As the model assumptions (i.e. normality of model residuals) were not met, robust linear mixed-effects models were conducted using the robustlmm package (Koller, Reference Koller2016). The models predicted the eCB and NAE levels by the fixed within factor ‘Time’ (t 0 v. t 2) and the fixed between factor ‘Maternal CM load’ along with the interaction Time × Maternal CM load. To reflect the repeated measures, we modeled intercepts for each subject as a random effect (Blackwell, De Leon, & Miller, Reference Blackwell, De Leon and Miller2006). The robust mixed-effects regression models did not allow calculating overall model statistics. The nature of significant Time × Maternal CM load interactions was explored using post hoc tests (i.e. linear contrasts) using the emmeans package (Lenth, Reference Lenth2019). P values of model predictors and post hoc tests were calculated based on z values.

All reported analyses were performed two-tailed with the significance level set at p < 0.05. P values of the bivariate correlations between CM exposure and the biological measures as well as for post hoc tests and descriptive analyses were adjusted using the False Discovery Rate (FDR) (Benjamini & Hochberg, Reference Benjamini and Hochberg1995).

Relevant covariates did not significantly correlate with eCB and NAE levels (see online Supplementary Tables S5 & S6). Hair washing reported by mothers and the children's sex did not correlate with eCBs and NAEs. Considering frequency of hair washing and infant sex as covariates in sensitivity analyses did not change the pattern of the results.

Results

Descriptive and correlational results

The online Supplementary Tables S1 & S2 present a summary of the eCB and NAE concentrations measured in the hair of mothers and their newborns. In line with previous studies (Gao et al., Reference Gao, Walther, Wekenborg, Penz and Kirschbaum2020; Koenig et al., Reference Koenig, Gao, Umlauft, Schury, Reister, Kirschbaum and Kolassa2018b), eCB and NAE concentrations in maternal and infant hair showed a comparably wide physiological range. On average, the eCB and NAE levels were higher in mothers than in children at t 0 and t 2. Exceptionally, hair of newborns collected at birth exhibited, on average, three times higher 2-AG/1-AG levels than maternal hair after giving birth. PEA, OEA, and SEA concentrations were all positively correlated in both mothers and children at each time of measurement (r S = 0.31–0.93, all pFDR < 0.001; see online Supplementary Table S3). There was no consistent pattern of bivariate associations between AEA, 2-AG/1-AG, and the NAE in mothers or children at any point in time (see online Supplementary Table S3).

Within mother–infant dyads, maternal and infant eCB and NAE levels did not show significant intergenerational correlation at any point in time (all pFDR > 0.05; online Supplementary Table S3). As an exception, there was a significant negative correlation of maternal SEA and infant 2-AG/1-AG (rS = −0.44, pFDR < 0.001) in hair collected at 12 months postpartum.

Regarding within-subject correlations, maternal OEA, SEA, and PEA hair levels were positively correlated between t 0 and t 2. In contrast, there were no associations of children's eCB and NAE between t 0 and t 2 (see online Supplementary Table S4).

Association of maternal CM history with eCB and NAE hair concentrations in the first year postpartumFootnote Footnote 1

Maternal hair

Table 2 displays the results of bivariate Spearman correlation analyses in mothers. During the last trimester of pregnancy, mothers with higher CM load showed significantly lower SEA hair concentrations and in trend higher 2-AG/1-AG. In addition, when exploring associations of CM subtypes with the biological measures (online Supplementary Table S5), we found that women with higher emotional abuse showed lower SEA levels at one year postpartum. However, the correlation was not significant after FDR correction.

Table 2. Spearman rank correlations of maternal childhood maltreatment exposure with endocannabinoids measured in maternal hair and infant hair

Note: * p < 0.050, ** p < 0.010, *** p < 0.001, two-tailed. Underlined p values are significant after correction with false discovery rate (FDR). Italic p values indicate a trend for significance (p < .100). Bivariate correlations were computed with the maximal number of cases available: an = 39; bn = 97; cn = 88. Note that no AEA levels were detectable in the hair of children at t 0. Exposure to childhood maltreatment (CM) was assessed with the Childhood Trauma Questionnaire (CTQ, Bader et al., Reference Bader, Hänny, Schäfer, Neuckel and Kuhl2009).

d Considering the CTQ subscales, OEA significantly correlated with maternal emotional neglect even after FDR correction (see online Supplementary Table S5).

Infant hair

There were no significant correlations between maternal CM load and the eCB and NAE levels in infant hair at t 0 and t 2 (Table 2), except for a negative association of maternal CM load with infant SEA concentrations at t 2, which was not significant after FDR correction. However, exploring the relevance of CM subtypes revealed that children of mothers with higher emotional neglect showed significantly higher OEA concentrations at t 0, which remained significant after FDR correction (see online Supplementary Table S5).

Alterations in eCB and NAE levels within the first year postpartum

We modeled alterations of eCB and NAE levels within the first year postpartum while considering potential effects of maternal CM load using robust linear mixed effects models. Tables 3 and 4 summarize the statistical results and Fig. 1 displays the findings for maternal (Fig. 1a–d) and infant hair (Fig. 1e–h). AEA levels could not be analyzed as too many measures were below the detection limit.

Figure 1. Course of endocannabinoids depending on maternal CM. Endocannabinoid (eCB) and N-acylethanolamines (NAE) hair concentrations (pg/mg) in mothers (a–d; Nt0 = 150, Nt2 = 148) and their children (e–h; Nt0 = 92, Nt2 = 170) with lower (CM−) and higher childhood maltreatment (CM+) load representing last trimester of pregnancy and 12 months postpartum. t 0 hair sampled shortly after birth, representing the last trimester of pregnancy; t 2 hair sampled 12 months postpartum, representing 10 to 12 months postpartum. Depicted in the upper right corner are p-values of significant post hoc tests of Time × CM load interactions. 2-AG/1-AG 2-arachidonoylglycerol, SEA stearoylethanolamide, OEA oleoylethanolamide, PEA palmitoylethanolamide.

Table 3. Results of robust linear mixed effects models for endocannabinoid concentrations in mothers (Nt0 = 150; N t2 = 148) a

Note. * p < 0.050, ** p < 0.010, *** p < 0.001, two-tailed. Italic p values indicate a trend for significance (p < .100). All models include random intercepts to consider repeated measures within individuals (σri presents the standard deviation of random intercepts across all subjects). Coefficients of determination (conditional R2) present the variance explained by the total model (fixed and random effects) and marginal R2 the variance explained by fixed effects only; RMSE presents the absolute model-to-data-fit by estimating the unexplained variance (quantified deviation of the estimated from the predicted values). Overall model tests cannot be calculated for robust linear mixed effects models. Exposure to childhood maltreatment (CM) was assessed with the sum score of the Childhood Trauma Questionnaire (CTQ, Bader et al., Reference Bader, Hänny, Schäfer, Neuckel and Kuhl2009).

a Note that data on eCB and NAE concentrations at both, t 0 and t 2, were available from 63 mothers only. Considering only these cases did not change the pattern of results (see online Supplementary Table S10 & Fig. S7).

1 Post hoc tests were performed to describe the nature of the significant interaction effects. p values were estimated from z statistics and adjusted for multiple comparisons with the false discovery rate (FDR).

2For post hoc contrasts between measurement points (t 0 v. t 2) CM was grouped in three CM severity groups based on the mean CTQ sum score (CMmean) as well as one s.d. below (CMlow) or above (CMhigh) the average CTQ sum score.

Table 4. Results of robust linear mixed effect models for endocannabinoid concentrations in children (Nt0 = 92; N t2 = 170)a

Note. * p < 0.050, ** p < 0.010, *** p < 0.001, two-tailed. Italic p values indicate a trend for significance (p < .100). All models include random intercepts to consider repeated measures within individuals (σ ri standard deviation of random intercepts across all subjects). Coefficients of determination (conditional R2) present the variance explained by the total model (fixed and random effects) and marginal R2 the variance explained by fixed effects only. RMSE presents the absolute model-to-data-fit by estimating the unexplained variance (quantified deviation of the estimated from the predicted values). Overall model tests cannot be calculated for robust linear mixed effects models. Exposure to childhood maltreatment (CM) was assessed with the sum score of the Childhood Trauma Questionnaire (CTQ; Bader et al., Reference Bader, Hänny, Schäfer, Neuckel and Kuhl2009).

a Note that data on eCB and NAE concentrations at both, t 0 and t 2, were available from 45 children only. Considering only these cases did not change the pattern of results (see online Supplementary Table S11 & Fig. S7).

Maternal hair

2-AG/1-AG levels significantly increased in maternal hair over the first year postpartum (t Time = 1.83, p = 0.005, η2p = 0.01; Table 3), which did not depend on maternal CM load (t Interaction = −0.92, p = 0.357, η2p < 0.01). There was no main effect of maternal CM load (t CM = 1.58, p = 0.113, η2p < 0.01). Conversely, SEA concentrations in maternal hair significantly decreased over time (t Time = 0.14, p < 0.001, η2p = 0.05), and were significantly lower in mothers with higher CM load (t CM = −0.47, p = 0.001, η2p < 0.04; see Fig. 1c). A marginally significant interaction of Time × Maternal CM load (t Interaction = −0.77, p = 0.054, η2p < 0.01) indicated that women with higher CM load had lower SEA level than women with lower CM load at t 0 (pFDR < 0.001), while these differences were not found at t 2 (pFDR = 0.333). No significant effects were observed for maternal OEA and PEA concentrations.

Infant hair

Infants exhibited an inversed pattern of change as compared to their mothers. From the last trimester of pregnancy to one year later, the 2-AG/1-AG concentration in the hair of infants decreased significantly (t Time = −3.02, p < 0.001, η2 = 0.01), whereas OEA, PEA, and SEA levels increased significantly (see Table 4). There were no significant main or interaction effects of maternal CM load.

Limiting the analyses to mothers (N = 63) and children (N = 45) with complete data at both timepoints did not change the pattern of results (see online Supplementary Tables S10 and S11 and Fig. S7).

Discussion

We investigated longitudinal alterations in eCB and NAE hair concentrations of women with varying degrees of CM and their children using hair samples representing the last trimester of pregnancy and one year after birth. The investigated biomarkers indicated changes in the activity of the eCB system from late pregnancy to one year later in both mothers and children. In late pregnancy, maternal CM accounted for differences in maternal eCB and NAE levels, while these alterations could not be found at one year postpartum. Thus, the effects of CM on the eCB system appear to be limited to the pre- and perinatal period and do not persist until one year later.

eCB and NAE levels in maternal hair at the perinatal and postpartum period

Independent of maternal CM, 2-AG/1-AG concentrations in maternal hair were lower in late pregnancy than one year postpartum, while SEA concentrations decreased from late pregnancy to one year postpartum. Our findings indicate that the activity of the eCB system undergoes alterations during pregnancy and subsequent recovery, which extends initial findings of intra-individual variation during pregnancy (Krumbholz et al., Reference Krumbholz, Anielski, Reisch, Schelling and Thieme2013). The observed alterations suggest that the eCB system is differentially regulated during pregnancy and postpartum, which might influence the regulation of the glucocorticoid and immune system in these periods.

During pregnancy, HPA-axis functioning is altered resulting in progressively increasing tonic glucocorticoid secretion, which is suppressed around delivery (Brunton, Russell, & Douglas, Reference Brunton, Russell and Douglas2008; Jung et al., Reference Jung, Ho, Torpy, Rogers, Doogue, Lewis and Inder2011; Mastorakos & Ilias, Reference Mastorakos and Ilias2003). 2-AG critically regulates HPA-axis activity as a turn-off signal in the HPA axis' negative feedback loop, ending further glucocorticoid secretion (Hill & Tasker, Reference Hill and Tasker2012). Our study indicates lowered 2-AG/1-AG levels during late pregnancy which may contribute to reduced negative feedback in the HPA axis, and thus to an increase in tonic cortisol levels in the last pregnancy trimester. Increasing 2-AG/1-AG hair levels from pregnancy to one year postpartum might reflect the restoration of a tighter 2-AG-mediated HPA-axis regulation that returns glucocorticoid secretion back to pre-pregnancy levels. Suiting our interpretation, Krumbholz et al. (Reference Krumbholz, Anielski, Reisch, Schelling and Thieme2013) reported negative associations of glucocorticoid and 2-AG/1-AG concentrations in maternal hair over the course of pregnancy and parturition.

Furthermore, successful pregnancy depends on the tuned regulation of eCB and NAE in tissues of the reproductive system (Kozakiewicz et al., Reference Kozakiewicz, Grotegut and Howlett2021; Maia et al., Reference Maia, Fonseca, Teixeira and Correia-da-Silva2020; Schuel et al., Reference Schuel, Burkman, Lippes, Crickard, Forester, Piomelli and Giuffrida2002). Thereby, the immunomodulating properties of eCB and NAE are involved in the time- and tissue-specific (e.g. placenta, fetal membranes) regulation of inflammatory activity during pregnancy and birth (Mor, Cardenas, Abrahams, & Guller, Reference Mor, Cardenas, Abrahams and Guller2011; Taylor et al., Reference Taylor, Amoako, Bambang, Karasu, Gebeh, Lam and Konje2010). Disruptions in this regulation are associated with failure of implanting the inseminated ovum, impaired fetal development, premature birth, and even miscarriage (El-Talatini et al., Reference El-Talatini, Taylor, Elson, Brown, Davidson and Konje2009; Fonseca et al., Reference Fonseca, Correia-da-Silva, Taylor, Lam, Marczylo, Bell and Teixeira2010a, Reference Fonseca, Correia-da-Silva, Taylor, Lam, Marczylo, Konje and Teixeira2010b; Gebeh et al., Reference Gebeh, Willets, Bari, Hirst, Marczylo, Taylor and Konje2013; Maia et al., Reference Maia, Fonseca, Teixeira and Correia-da-Silva2020). Considering its immunomodulatory properties (Dalle Carbonare et al., Reference Dalle Carbonare, Del Giudice, Stecca, Colavito, Fabris, D'Arrigo and Leon2008; Kasatkina, Heinemann, Hudz, Thomas, & Sturm, Reference Kasatkina, Heinemann, Hudz, Thomas and Sturm2020; Tsuboi et al., Reference Tsuboi, Uyama, Okamoto and Ueda2018), increased SEA levels observed in late pregnancy could represent a regulatory signal of the body to govern the immunological processes in pregnancy (Corwin, Bozoky, Pugh, & Johnston, Reference Corwin, Bozoky, Pugh and Johnston2003; Maes, Ombelet, De Jongh, Kenis, & Bosmans, Reference Maes, Ombelet, De Jongh, Kenis and Bosmans2001; Taylor et al., Reference Taylor, Amoako, Bambang, Karasu, Gebeh, Lam and Konje2010). To substantiate these preliminary interpretations, further research needs to elucidate the role of eCBs and NAEs in pregnancy and to investigate whether hair-based biomarkers of the eCB system could inform about clinically relevant pregnancy outcomes.

Influence of maternal CM exposure on eCB and NAE levels over the first year postpartum

While all women showed decreasing SEA and increasing 2-AG/1-AG levels from late pregnancy to one year later, women with a history of CM exhibited significantly lower SEA levels in late pregnancy as compared with women without CM. This supports our previous results of lower SEA and higher 1-AG levels in hair of mothers with a history of CM (Koenig et al., Reference Koenig, Gao, Umlauft, Schury, Reister, Kirschbaum and Kolassa2018b) and reduced levels of SEA in highly traumatized civil war survivors with PTSD (Wilker et al., Reference Wilker, Pfeiffer, Elbert, Ovuga, Karabatsiakis, Krumbholz and Kolassa2016). Given the role of SEA in modulating inflammatory and pain processes as well as in regulating glucocorticoid secretion, lowered SEA levels in the hair of pregnant women with a CM history may implicate that CM contributes to an aberrant immune and HPA axis (re-)activity in late pregnancy through altered SEA regulation. Indeed, there is evidence that women with CM history exhibit higher inflammatory activity during pregnancy (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016; Bublitz, De La Monte, Martin, Larson, & Bourjeily, Reference Bublitz, De La Monte, Martin, Larson and Bourjeily2017, Reference Bublitz, Freeburg, Sharp, Salameh and Bourjeily2022; Kleih et al., Reference Kleih, Entringer, Scholaske, Kathmann, DePunder, Heim and Buss2022). NAEs are known to inhibit inflammation by binding to peroxisome proliferator-activated-receptors (PPAR) (O'Sullivan & Kendall, Reference O'Sullivan and Kendall2010), and therefore a reduced SEA signaling may contribute to increased inflammation in pregnant women with a history of CM.

Most importantly, our study is the first to show that the associations between maternal CM and SEA levels no longer exist one year postpartum and that maternal CM history did not account for differences in the eCB markers investigated. About one year after birth, the regulation of the immune and glucocorticoid system has conceivably returned to a pre-pregnancy state, and correspondingly, pregnancy-related regulatory alterations in the eCB system will have ‘normalized’. In such a condition, i.e., in the absence of a particular physiological stressor (e.g. due to pregnancy), CM-related differences in the regulation of the eCB system do not appear to be present. Thus, CM-affected women may not differ from non-CM-affected women in their basal eCB system activity, but the eCB system rather differs in its reactivity to the physiological challenge of pregnancy. This pattern of results fits with the perspective that consequences of early adversity on the regulation of physiological systems do not necessarily show as permanent changes in tonic activity, but specifically manifest as a higher reactivity upon exposure to psychosocial, immunological, and physiological stressors (Danese & Baldwin, Reference Danese and Baldwin2017). Underlining this, previous studies indicated that the stress-induced increase in inflammatory activity is higher in CM-exposed individuals than in nonexposed individuals (Danese & Baldwin, Reference Danese and Baldwin2017; Fagundes, Glaser, & Kiecolt-Glaser, Reference Fagundes, Glaser and Kiecolt-Glaser2013), and it has also been shown that CM-exposed women presented an upregulated immune-cellular energy metabolism compared to non-exposed women directly after birth, while this effect was not detectable one year postpartum (Gumpp et al., Reference Gumpp, Behnke, Ramo-Fernández, Radermacher, Gündel, Ziegenhain and Kolassa2022).

Altogether, we interpret our findings as evidence that CM exposure to contributes to a sensitization of biological stress response systems to psychosocial, immunological, and physiological stressors. This also means that the organism of pregnant women with a history of CM faces a higher compensatory/regulatory strain (i.e. allostatic load) at the same exposure to stress (e.g., pregnancy; Danese & McEwen, Reference Danese and McEwen2012; Fava et al., Reference Fava, McEwen, Guidi, Gostoli, Offidani and Sonino2019). This might contribute to a higher risk for negative health outcomes after CM, including increased inflammatory reactions, more pain, and possibly more complications during pregnancy. Moreover, it could be that unborn children of CM-affected women are confronted with an altered physiological milieu in utero.

eCB and NAE levels in infant hair at the perinatal and postpartum period

To investigate possible intergenerational effects of CM on the eCB system, we collected hair of infants to analyze the longitudinal course of eCB system markers from late pregnancy to one year postpartum. We provide first evidence for a general developmental change in eCB and NAE levels in infant hair: that is, 2-AG/1-AG levels decreased, while OEA, SEA, and PEA levels increased from the last trimester of pregnancy until one year later. Our findings of elevated 2-AG/1-AG levels in newborns resemble first evidence from animal studies showing that 2-AG concentrations peak in various tissues and biomaterials of neonate rodents during the perinatal period and subsequently decreased in the postpartum (Berrendero, Sepe, Ramos, Di Marzo, & Fernández-Ruiz, Reference Berrendero, Sepe, Ramos, Di Marzo and Fernández-Ruiz1999; Ellgren et al., Reference Ellgren, Artmann, Tkalych, Gupta, Hansen, Hansen and Hurd2008; Fride, Reference Fride2008; Lee & Gorzalka, Reference Lee and Gorzalka2012). Increased 2-AG presumably serves to induce suckling behavior directly after birth and to enhance (neuro)development and growth (Berrendero et al., Reference Berrendero, Sepe, Ramos, Di Marzo and Fernández-Ruiz1999; Fride, Reference Fride2004, Reference Fride2008; Schuel et al., Reference Schuel, Burkman, Lippes, Crickard, Forester, Piomelli and Giuffrida2002). With our study we provide first evidence that 2-AG/1-AG might follow a similar trajectory in humans.

Moreover, we provide first data on the course of NAE levels in human newborns. Starting from substantially lower levels than in the mothers, the NAE concentrations in the hair of infants increased from late pregnancy to one year later approaching maternal levels. This resembles the trajectory of the biologically similar AEA in animals, which gradually increases throughout infancy (Lee & Gorzalka, Reference Lee and Gorzalka2012). Altogether, our data indicate that eCB and NAE levels fluctuate over different developmental stages in early life, which probably continues throughout maturation (Lee & Gorzalka, Reference Lee and Gorzalka2012; Meyer, Lee, & Gee, Reference Meyer, Lee and Gee2018). As pioneered with our study, future research may use hair samples of newborns to retrospectively assess eCB and NAE levels in unborn children and gain insight into prenatal development of the eCB system.

Intergenerational effects of maternal CM on eCB and NAE levels in children

The change of eCB and NAE levels in children in the first year postpartum was not affected by maternal CM load. Exploring the relevance of CM subtypes revealed that maternal emotional neglect was linked to higher OEA levels in children in late pregnancy (see online Supplementary Table S5). As maternal and fetal eCB systems interact via the fetoplacental unit (Keimpema, Calvigioni, & Harkany, Reference Keimpema, Calvigioni and Harkany2013), it might be that CM-associated alterations in children's OEA levels in late pregnancy result from an altered intrauterine milieu in mothers with a history of emotional neglect. It was previously shown that the emotional stress CM-affected women experience during pregnancy is linked to altered hormone concentrations in neonatal hair (Entringer, Buss, & Wadhwa, Reference Entringer, Buss and Wadhwa2015; Hoffman, D'Anna-Hernandez, Benitez, Ross, & Laudenslager, Reference Hoffman, D'Anna-Hernandez, Benitez, Ross and Laudenslager2017). Most importantly, we found no association between maternal CM and eCB/NAE levels in infant hair one year postpartum, indicating that possible intergenerational effects of CM on the children's eCB system resolved within the first year after birth. It remains to be investigated how possible intergenerational imprinting of the eCB system by maternal CM experiences affects the fetal development in utero and the physical, immunological, and mental development of children beyond their first year of life.

Limitations

We investigated a rather homogenous group of predominantly healthy postpartum women, reporting mild to moderate CM experiences, mostly living in committed relationships, and with rather high education and good socioeconomic status. The nature of our study cohort might limit the generalizability of our findings and could underestimate the true impact of CM on the eCB system. Future studies should aim at sampling women with higher CM exposure. The data from both points of measurement could only be combined for a subsample, which limits the statistical power to detect small intergenerational effects. Moreover, it has been reported that eCB/NAE concentrations differ between biological specimens (e.g. tissue v. circulation; brain v. periphery; liquid v. keratin matrices) and systems (e.g. reproductive system v. brain) as well as along developmental trajectories (Fonseca et al., Reference Fonseca, Correia-da-Silva, Taylor, Lam, Marczylo, Bell and Teixeira2010a, Reference Fonseca, Correia-da-Silva, Taylor, Lam, Marczylo, Konje and Teixeira2010b). Although lipophilic basic compounds such as eCB are assumed to be incorporated from the bloodstream and bound to hair pigments such as melanin (Thieme, Anielski, Helfers, & Krumbholz, Reference Thieme, Anielski, Helfers, Krumbholz and Chouker2020), the incorporation of eCBs and NAEs into hair has not been finally understood (Krumbholz et al., Reference Krumbholz, Anielski, Reisch, Schelling and Thieme2013; Liu & Doan, Reference Liu and Doan2019) and might not necessarily reflect tissue-dependent alterations (Fonseca et al., Reference Fonseca, Correia-da-Silva, Taylor, Lam, Marczylo, Konje and Teixeira2010b).

Conclusion

Mothers and children showed alterations in the eCB system from the last trimester of pregnancy to one year postpartum. Maternal CM accounted for alterations in the eCB system of mothers, which were limited to late pregnancy but normalized in the first year after birth. Future research needs to investigate the regulation of the eCB system in utero and its relevance in mediating pregnancy outcomes, as well as intergenerational effects on the mental and physical development of children before and after birth.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291723001204

Acknowledgements

The authors are very grateful to all women who participated in this study and acknowledge the general support of the whole maternity ward staff at the University Hospital Ulm. We thank the whole ‘My Childhood – Your Childhood’ staff for their dedication in data collection and overall support. We thank Clemens Kirschbaum for his valuable support and cooperation in the analysis of hair samples in his laboratory at Technische Universität Dresden.

Author contributions

The data was collected within the project ‘My Childhood – Your Childhood’ between 2013 and 2016. MH supported clinical data collection, that was organized and performed by AMB. MH and AMB preprocessed hair samples. Hair samples were analyzed by WG. MH and LM performed statistical analyses under the supervision from AB. MH interpreted the data with input from AB. MH wrote the manuscript with revisions from AMG and AB. All authors read, revised, and approved the final manuscript. The study was amongst others conceptualized and funded by UZ and ITK.

Financial support

This word was supported by the Federal Ministry of Education and Research (Grant number: 01KR1304A). Melissa Hitzler was supported by a PhD scholarship of the Konrad-Adenauer Foundation.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional ethical committee of Ulm university on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008

Footnotes

The notes appear after the main text.

1 In a previous publication (Koenig et al., Reference Koenig, Gao, Umlauft, Schury, Reister, Kirschbaum and Kolassa2018b), we used group comparison tests to analyze CM group-related differences in eCB and NAE levels in maternal and infant hair collected at t 0. To this end, we had categorized mothers in none-mild CM v. moderate-severe CM exposure based on the mild clinical cut-off of the CTQ. For comparability of findings, we applied the mild CTQ cut-off to the data of the present study and provided group comparison tests in the online Supplementary (see online Supplementary Table S8 & S9 and Supplementary Figs S3–S6). In summary, all analytic approaches conclude that at t 0, higher maternal CM exposure is associated with lower SEA and higher 2-AG/1-AG levels in maternal hair, and that in trend, levels of OEA and 2-AG/1-AG levels are higher in the hair of children of mothers with a history of CM exposure. All these associations vanished at one year after birth (see online Supplementary Table S8 & S9).

References

Bader, K., Hänny, C., Schäfer, V., Neuckel, A., & Kuhl, C. (2009). Childhood Trauma Questionnaire – Psychometrische Eigenschaften einer deutschsprachigen Version. Zeitschrift für Klinische Psychologie und Psychotherapie, 38(4), 223230. https://doi:10.1026/1616-3443.38.4.223.CrossRefGoogle Scholar
Barrie, N., & Manolios, N. (2017). The endocannabinoid system in pain and inflammation: Its relevance to rheumatic disease. European Journal of Rheumatology, 4(3), 210218. https://doi.org/10.5152/eurjrheum.2017.17025.CrossRefGoogle ScholarPubMed
Bassir Nia, A., Bender, R., & Harpaz-Rotem, I. (2019). Endocannabinoid system alterations in posttraumatic stress disorder: A review of developmental and accumulative effects of trauma. Chronic Stress, 3, 117. https://doi.org/10.1177/2470547019864096.CrossRefGoogle ScholarPubMed
Behnke, A., Gumpp, A. M., Krumbholz, A., Bach, A. M., Schelling, G., Kolassa, I. T., & Rojas, R. (2021). Hair-based biomarkers in women with major depressive disorder: Glucocorticoids, endocannabinoids, N-acylethanolamines, and testosterone. Comprehensive Psychoneuroendocrinology, 7, 100068. https://doi.org/10.1016/j.cpnec.2021.100068.CrossRefGoogle ScholarPubMed
Behnke, A., Karabatsiakis, A., Krumbholz, A., Karrasch, S., Schelling, G., Kolassa, I. T., & Rojas, R. (2020). Associating emergency medical services personnel's workload, trauma exposure, and health with the cortisol, endocannabinoid, and N-acylethanolamine concentrations in their hair. Scientific Reports, 10(1), 110. https://doi.org/10.1038/s41598-020-79859-x.CrossRefGoogle ScholarPubMed
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x.Google Scholar
Berdyshev, A. G., Kosiakova, H. V., Onopchenko, O. V., Panchuk, R. R., Stoika, R. S., & Hula, N. M. (2015). N-Stearoylethanolamine suppresses the pro-inflammtory cytokines production by inhibition of NF-kB translocation. Prostaglandins and Other Lipid Mediators, 121(A), 9196. http://dx.doi.org/10.1016/j.prostaglandins.2015.05.001.CrossRefGoogle Scholar
Bernstein, D. P., & Fink, L. (1998). Childhood trauma questionnaire: A retrospective self-report. San Antonio, TX: The Psychological Corporation.Google Scholar
Berrendero, F., Sepe, N., Ramos, J. A., Di Marzo, V., & Fernández-Ruiz, J. J. (1999). Analysis of cannabinoid receptor binding and mRNA expression and endogenous cannabinoid contents in the developing rat brain during late gestation and early postnatal period. Synapse (New York, N.Y.), 33(3), 181191. https://doi.org/10.1002/(sici)1098-2396(19990901)33:3%3C181::aid-syn3%3E3.0.co;2-r.3.0.CO;2-R>CrossRefGoogle ScholarPubMed
Blackwell, E., De Leon, C. F. M., & Miller, G. E. (2006). Applying mixed regression models to the analysis of repeated-measures data in psychosomatic medicine. Psychosomatic Medicine, 68(6), 870878. https://doi.org/10.1097/01.psy.0000239144.91689.ca.CrossRefGoogle Scholar
Boeck, C., Koenig, A. M., Schury, K., Geiger, M. L., Karabatsiakis, A., Wilker, S., … Kolassa, I. T. (2016). Inflammation in adult women with a history of child maltreatment: The involvement of mitochondrial alterations and oxidative stress. Mitochondrion, 30, 197207. https://doi.org/10.1016/j.mito.2016.08.006.CrossRefGoogle ScholarPubMed
Brunton, P. J., Russell, J. A., & Douglas, A. J. (2008). Adaptive responses of the maternal hypothalamic-pituitary-adrenal axis during pregnancy and lactation. Journal of Neuroendocrinology, 20(6), 764776. https://doi.org/10.1111/j.1365-2826.2008.01735.x.CrossRefGoogle ScholarPubMed
Bublitz, M., De La Monte, S., Martin, S., Larson, L., & Bourjeily, G. (2017). Childhood maltreatment and inflammation among pregnant women with gestational diabetes mellitus: A pilot study. Obstetric Medicine, 10(3), 120124. https://doi.org/10.1177/1753495x17701320.CrossRefGoogle ScholarPubMed
Bublitz, M. H., Freeburg, T., Sharp, M., Salameh, M., & Bourjeily, G. (2022). Childhood adversity, prenatal depression, and maternal inflammation across pregnancy. Obstetric Medicine, 15(1), 2530. https://doi.org/10.1177/1753495x211011910.CrossRefGoogle ScholarPubMed
Carpenter, L. L., Carvalho, J. P., Tyrka, A. R., Wier, L. M., Mello, A. F., Mello, M. F., … Price, L. H. (2007). Decreased adrenocorticotropic hormone and cortisol responses to stress in healthy adults reporting significant childhood maltreatment. Biological Psychiatry, 62(10), 10801087. https://doi:10.1016/j.biopsych.2007.05.002.CrossRefGoogle ScholarPubMed
Corwin, E. J., Bozoky, I., Pugh, L. C., & Johnston, N. (2003). Interleukin-1ß elevation during the postpartum period. Annals of Behavioral Medicine, 25(1), 4147. https://doi.org/10.1207/s15324796abm2501_06.CrossRefGoogle Scholar
Croissant, M., Glaesmer, H., Klucken, T., Kirschbaum, C., Gao, W., Stalder, T., & Sierau, S. (2020). Endocannabinoid concentrations in hair and mental health of unaccompanied refugee minors. Psychoneuroendocrinology, 116, e104683. https://doi.org/10.1016/j.psyneuen.2020.104683.CrossRefGoogle ScholarPubMed
Crowe, M. S., Nass, S. R., Gabella, K. M., & Kinsey, S. G. (2014). The endocannabinoid system modulates stress, emotionality, and inflammation. Brain, Behavior, and Immunity, 42, 15. https://doi.org/10.1016/j.bbi.2014.06.007.CrossRefGoogle ScholarPubMed
Dalle Carbonare, M., Del Giudice, E., Stecca, A., Colavito, D., Fabris, M., D'Arrigo, A., … Leon, A. (2008). A saturated N-acylethanolamine other than N-palmitoyl ethanolamine with anti-inflammatory properties: A neglected story. Journal of Neuroendocrinology, 20(Suppl. 1), 2634. doi: 10.1111/j.1365-2826.2008.01689.xCrossRefGoogle ScholarPubMed
Danese, A., & Baldwin, J. R. (2017). Hidden wounds? Inflammatory links between childhood trauma and psychopathology. Annual Review of Psychology, 68(1), 517544. doi: 10.1146/annurev-psych-010416-044208CrossRefGoogle ScholarPubMed
Danese, A., & McEwen, B. S. (2012). Adverse childhood experiences, allostasis, allostatic load, and age-related disease. Physiology & Behavior, 106(1), 2939. https://doi.org/10.1016/j.physbeh.2011.08.019.CrossRefGoogle ScholarPubMed
deRoon-Cassini, T. A., Bergner, C. L., Chesney, S. A., Schumann, N. R., Lee, T. S., Brasel, K. J., & Hillard, C. J. (2022). Circulating endocannabinoids and genetic polymorphisms as predictors of posttraumatic stress disorder symptom severity: Heterogeneity in a community-based cohort. Translational Psychiatry, 12(1), 112. https://doi.org/10.1038/s41398-022-01808-1.CrossRefGoogle Scholar
Dlugos, A., Childs, E., Stuhr, K. L., Hillard, C. J., & de Wit, H. (2012). Acute stress increases circulating anandamide and other N-acylethanolamines in healthy humans. Neuropsychopharmacology, 37(11), 24162427. https://doi.org/10.1038/npp.2012.100.CrossRefGoogle ScholarPubMed
Ellgren, M., Artmann, A., Tkalych, O., Gupta, A., Hansen, H. S., Hansen, S. H., … Hurd, Y. L. (2008). Dynamic changes of the endogenous cannabinoid and opioid mesocorticolimbic systems during adolescence: THC effects. European Neuropsychopharmacology, 18(11), 826834. https://doi.org/10.1016/j.euroneuro.2008.06.009.CrossRefGoogle ScholarPubMed
El-Talatini, M. R., Taylor, A. H., Elson, J. C., Brown, L., Davidson, A. C., & Konje, J. C. (2009). Localisation and function of the endocannabinoid system in the human ovary. PLoS One, 4(2), e4579. https://doi.org/10.1371/journal.pone.0004579.CrossRefGoogle ScholarPubMed
Entringer, S., Buss, C., & Wadhwa, P. D. (2015). Prenatal stress, development, health and disease risk: A psychobiological perspective. Psychoneuroendocrinology, 62, 366375. https://doi.org/10.1016/j.psyneuen.2015.08.019.CrossRefGoogle Scholar
Fagundes, C. P., Glaser, R., & Kiecolt-Glaser, J. K. (2013). Stressful early life experiences and immune dysregulation across the lifespan. Brain, Behavior, and Immunity, 27, 812. https://doi.org/10.1016/j.bbi.2012.06.014.CrossRefGoogle ScholarPubMed
Fava, G. A., McEwen, B. S., Guidi, J., Gostoli, S., Offidani, E., & Sonino, N. (2019). Clinical characterization of allostatic overload. Psychoneuroendocrinology, 108, 94101. https://doi.org/10.1016/j.psyneuen.2019.05.028.CrossRefGoogle ScholarPubMed
Fonseca, B. M., Correia-da-Silva, G., Taylor, A. H., Lam, P. M. W., Marczylo, T. H., Bell, S. C., … Teixeira, N. A. (2010a). The endocannabinoid 2-arachidonoylglycerol (2-AG) and metabolizing enzymes during rat fetoplacental development: A role in uterine remodelling. The International Journal of Biochemistry & Bell Biology, 42(11), 18841892. https://doi.org/10.1016/j.biocel.2010.08.006.CrossRefGoogle ScholarPubMed
Fonseca, B. M., Correia-da-Silva, G., Taylor, A. H., Lam, P. M. W., Marczylo, T. H., Konje, J. C., … Teixeira, N. A. (2010b). N-acylethanolamine levels and expression of their metabolizing enzymes during pregnancy. Endocrinology, 151(8), 39653974. https://doi.org/10.1210/en.2009-1424.CrossRefGoogle ScholarPubMed
Fride, E. (2004). The endocannabinoid-CB1 receptor system in pre-and postnatal life. European Journal of Pharmacology, 500(1-3), 289297. https://doi.org/10.1016/j.ejphar.2004.07.033.CrossRefGoogle Scholar
Fride, E. (2008). Multiple roles for the endocannabinoid system during the earliest stages of life: Pre- and postnatal development. Journal of Neuroendocrinology, 20, 7581. doi: 10.1111/j.1365-2826.2008.01670.xCrossRefGoogle ScholarPubMed
Gallego-Landin, I., García-Baos, A., Castro-Zavala, A., & Valverde, O. (2021). Reviewing the role of the endocannabinoid system in the pathophysiology of depression. Frontiers in Pharmacology, 12, 762738. https://doi.org/10.3389/fphar.2021.762738.CrossRefGoogle ScholarPubMed
Gao, W., Schmidt, K., Enge, S., & Kirschbaum, C. (2021). Intra-individual stability of hair endocannabinoid and N-acylethanolamine concentrations. Psychoneuroendocrinology, 133, e105395. https://doi.org/10.1016/j.psyneuen.2021.105395.CrossRefGoogle ScholarPubMed
Gao, W., Walther, A., Wekenborg, M., Penz, M., & Kirschbaum, C. (2020). Determination of endocannabinoids and N-acylethanolamines in human hair with LC-MS/MS and their relation to symptoms of depression, burnout, and anxiety. Talanta, 217, e121006. https://doi.org/10.1016/j.talanta.2020.121006.CrossRefGoogle ScholarPubMed
Gareri, J., & Koren, G. (2010). Prenatal hair development: Implications for drug exposure determination. Forensic Science International, 196(1–3), 2731. https://doi.org/10.1016/j.forsciint.2009.12.024.CrossRefGoogle ScholarPubMed
Gebeh, A. K., Willets, J. M., Bari, M., Hirst, R. A., Marczylo, T. H., Taylor, A. H., … Konje, J. C. (2013). Elevated anandamide and related N-acylethanolamine levels occur in the peripheral blood of women with ectopic pregnancy and are mirrored by changes in peripheral fatty acid amide hydrolase activity. The Journal of Clinical Endocrinology & Metabolism, 98(3), 12261234. https://doi.org/10.1210/jc.2012-3390.CrossRefGoogle ScholarPubMed
Gumpp, A. M., Behnke, A., Ramo-Fernández, L., Radermacher, P., Gündel, H., Ziegenhain, U., … Kolassa, I. T. (2022). Investigating mitochondrial bioenergetics in peripheral blood mononuclear cells of women with childhood maltreatment from post-parturition period to one-year follow-up. Psychological Medicine, 112. https://doi.org/10.1017/s0033291722000411.Google ScholarPubMed
Hauer, D., Schelling, G., Gola, H., Campolongo, P., Morath, J., Roozendaal, B., … Kolassa, I. T. (2013). Plasma concentrations of endocannabinoids and related primary fatty acid amides in patients with post-traumatic stress disorder. PLoS ONE, 8(5), e62741. doi: 10.1371/journal.pone.0062741CrossRefGoogle ScholarPubMed
Hauer, D., Toth, R., & Schelling, G. (2020). Endocannabinoids, “new-old” mediators of stress homeostasis. In Chouker, A. (Ed.), Stress challenges and immunity in space (pp. 181204). Cham: Springer. https://doi.org/10.1007/978-3-642-22272-6_8.CrossRefGoogle Scholar
Hill, M. N., Bierer, L. M., Makotkine, I., Golier, J. A., Galea, S., McEwen, B. S., … Yehuda, R. (2013). Reductions in circulating endocannabinoid levels in individuals with post-traumatic stress disorder following exposure to the world trade center attacks. Psychoneuroendocrinology, 38(12), 29522961. https://doi.org/10.1016/j.psyneuen.2013.08.004.CrossRefGoogle Scholar
Hill, M. N., McLaughlin, R. J., Pan, B., Fitzgerald, M. L., Roberts, C. J., Lee, T. T. Y., … Hillard, C. J. (2011). Recruitment of prefrontal cortical endocannabinoid signaling by glucocorticoids contributes to termination of the stress response. Journal of Neuroscience, 31(29), 1050610515. https://doi.org/10.1523/jneurosci.0496-11.2011.CrossRefGoogle ScholarPubMed
Hill, M. N., Miller, G. E., Carrier, E. J., Gorzalka, B. B., & Hillard, C. J. (2009). Circulating endocannabinoids and N-acyl ethanolamines are differentially regulated in major depression and following exposure to social stress. Psychoneuroendocrinology, 34(8), 12571262. https://doi.org/10.1016/j.psyneuen.2009.03.013.CrossRefGoogle ScholarPubMed
Hill, M. N., Miller, G. E., Ho, W. S., Gorzalka, B. B., & Hillard, C. J. (2008). Serum endocannabinoid content is altered in females with depressive disorders: A preliminary report. Pharmacopsychiatry, 41(02), 4853. https://doi.org/10.1055/s-2007-993211.CrossRefGoogle ScholarPubMed
Hill, M. N., & Tasker, J. G. (2012). Endocannabinoid signaling, glucocorticoid-mediated negative feedback, and regulation of the hypothalamic-pituitary-adrenal axis. Neuroscience, 204, 516. https://doi.org/10.1016/j.neuroscience.2011.12.030.CrossRefGoogle ScholarPubMed
Hillard, C. J. (2018). Circulating endocannabinoids: From whence do they come and where are they going? Neuropsychopharmacology, 43(1), 155172. https://doi.org/10.1038/npp.2017.130.CrossRefGoogle ScholarPubMed
Hitzler, M., Behnke, A., Gündel, H., Ziegenhain, U., Kindler, H., Kolassa, I. T., & Zimmermann, J. (2022). Sources of social support for postpartum women with a history of childhood maltreatment: Consequences for perceived stress and general mental health in the first year after birth. Child Abuse & Neglect, 134, 105911. https://doi.org/10.1016/j.chiabu.2022.105911.CrossRefGoogle ScholarPubMed
Ho, W.-S. V., Barrett, D. A., & Randall, M. D. (2008). ‘Entourage’ effects of Npalmitoylethanolamide and N-oleoylethanolamide on vasorelaxation to anandamide occur through TRPV1 receptors. British Journal of Pharmacology, 155, 837846. https://doi.org/10.1038/bjp.2008.324.CrossRefGoogle ScholarPubMed
Hoffman, M. C., D'Anna-Hernandez, K., Benitez, P., Ross, R. G., & Laudenslager, M. L. (2017). Cortisol during human fetal life: Characterization of a method for processing small quantities of newborn hair from 26 to 42 weeks gestation. Developmental Psychobiology, 59(1), 123127. https://doi:10.1002/dev.21433.CrossRefGoogle ScholarPubMed
Jonsson, K. O., Vandevoorde, S., Lambert, D. M., Tiger, G., & Fowler, C. J. (2001). Effects of homologues and analogues of palmitoylethanolamide upon the inactivation of the endocannabinoid anandamide. British Journal of Pharmacology, 133(8), 12631275. https://doi.org/10.1038/sj.bjp.0704199.CrossRefGoogle ScholarPubMed
Joshi, N., & Onaivi, E. S. (2019). Endocannabinoid system components: Overview and tissue distribution. In Bukiya, A. (Ed.), Recent advances in cannabinoid physiology and pathology. advances in experimental medicine and biology (Vol 1162, pp. 112). Cham: Springer. https://doi.org/10.1007/978-3-030-21737-2_1.Google Scholar
Jung, C., Ho, J. T., Torpy, D. J., Rogers, A., Doogue, M., Lewis, J. G., … Inder, W. J. (2011). A longitudinal study of plasma and urinary cortisol in pregnancy and postpartum. The Journal of Clinical Endocrinology & Metabolism, 96(5), 15331540. https://doi.org/10.1210/jc.2010-2395.CrossRefGoogle ScholarPubMed
Kasatkina, L. A., Heinemann, A., Hudz, Y. A., Thomas, D., & Sturm, E. M. (2020). Stearoylethanolamide interferes with retrograde endocannabinoid signaling and supports the blood-brain barrier integrity under acute systemic inflammation. Biochemical Pharmacology, 174, 113783. https://doi.org/10.1016/j.bcp.2019.113783.CrossRefGoogle ScholarPubMed
Keimpema, E., Calvigioni, D., & Harkany, T. (2013). Endocannabinoid signals in the developmental programming of delayed-onset neuropsychiatric and metabolic illnesses. Biochemical Society Transactions, 41(6), 15691576. https://doi.org/10.1042/bst20130117.CrossRefGoogle ScholarPubMed
Kleih, T. S., Entringer, S., Scholaske, L., Kathmann, N., DePunder, K., Heim, C. M., … Buss, C. (2022). Exposure to childhood maltreatment and systemic inflammation across pregnancy: The moderating role of depressive symptomatology. Brain, Behavior, and Immunity, 101, 397409. https://doi.org/10.1016/j.bbi.2022.02.004.CrossRefGoogle ScholarPubMed
Koenig, A. M., Gao, W., Umlauft, M., Schury, K., Reister, F., Kirschbaum, C., … Kolassa, I.-T. (2018b). Altered hair endocannabinoid levels in mothers with childhood maltreatment and their newborns. Biological Psychology, 135, 93101. https://doi.org/10.1016/j.psyneuen.2018.04.002.CrossRefGoogle ScholarPubMed
Koenig, A. M., Ramo-Fernández, L., Boeck, C., Umlauft, M., Pauly, M., Binder, E. B., … Kolassa, I.-T. (2018a). Intergenerational gene× environment interaction of FKBP5 and childhood maltreatment on hair steroids. Psychoneuroendocrinology, 92, 103112. https://doi.org/10.1016/j.psyneuen.2018.04.002.CrossRefGoogle ScholarPubMed
Koller, M. (2016). Robustlmm: An R package for robust estimation of linear mixed-effects models. Journal of Statistical Software, 75, 124. https://doi.org/10.18637/jss.v075.i06.CrossRefGoogle Scholar
Kozakiewicz, M. L., Grotegut, C. A., & Howlett, A. C. (2021). Endocannabinoid system in pregnancy maintenance and labor: A mini-review. Frontiers in Endocrinology, 12, e699951. https://doi.org/10.3389/fendo.2021.699951.CrossRefGoogle ScholarPubMed
Krumbholz, A., Anielski, P., Reisch, N., Schelling, G., & Thieme, D. (2013). Diagnostic value of concentration profiles of glucocorticosteroids and endocannabinoids in hair. Therapeutic Drug Monitoring, 35(5), 600607. https://doi.org/10.1097/ftd.0b013e3182953e43.CrossRefGoogle ScholarPubMed
Lam, P. M., Marczylo, T. H., El-Talatini, M., Finney, M., Nallendran, V., Taylor, A. H., & Konje, J. C. (2008). Ultra performance liquid chromatography tandem mass spectrometry method for the measurement of anandamide in human plasma. Analytical Biochemistry, 380(2), 195201.CrossRefGoogle ScholarPubMed
Lee, T. Y., & Gorzalka, B. B. (2012). Timing is everything: Evidence for a role of corticolimbic endocannabinoids in modulating hypothalamic–pituitary–adrenal axis activity across developmental periods. Neuroscience, 204, 1730. https://doi.org/10.1016/j.neuroscience.2011.10.006.CrossRefGoogle ScholarPubMed
Lenth, R. (2019). Emmeans: Estimated marginal means, aka least-squares means. Retrieved from https://CRAN.R-project.org/package=emmeans.Google Scholar
Liu, C. H., & Doan, S. N. (2019). Innovations in biological assessments of chronic stress through hair and nail cortisol: Conceptual, developmental, and methodological issues. Developmental Psychobiology, 61, 465476. https://doi.org/10.1002/dev.21830.CrossRefGoogle ScholarPubMed
Maes, M., Ombelet, W., De Jongh, R., Kenis, G., & Bosmans, E. (2001). The inflammatory response following delivery is amplified in women who previously suffered from major depression, suggesting that major depression is accompanied by a sensitization of the inflammatory response system. Journal of Affective Disorders, 63, 8592. https://doi.org/10.1016/s0165-0327(00)00156-7.CrossRefGoogle ScholarPubMed
Maia, J., Fonseca, B. M., Teixeira, N., & Correia-da-Silva, G. (2020). The fundamental role of the endocannabinoid system in endometrium and placenta: Implications in pathophysiological aspects of uterine and pregnancy disorders. Human Reproduction Update, 26(4), 586602. https://doi.org/10.1093/humupd/dmaa005.CrossRefGoogle ScholarPubMed
Mastorakos, G., & Ilias, I. (2003). Maternal and fetal hypothalamic-pituitary-adrenal axes during pregnancy and postpartum. Annals of the New York Academy of Sciences, 997, 136149. https://doi.org/10.1196/annals.1290.016.CrossRefGoogle ScholarPubMed
McLaughlin, K. A., Conron, K. J., Koenen, K. C., & Gilman, S. E. (2010). Childhood adversity, adult stressful life events, and risk of past-year psychiatric disorder: A test of the stress sensitization hypothesis in a population-based sample of adults. Psychological Medicine, 40(10), 16471658. https://doi.org/10.1016/j.comppsych.2011.04.036.CrossRefGoogle Scholar
Meyer, H. C., Lee, F. S., & Gee, D. G. (2018). The role of the endocannabinoid system and genetic variation in adolescent brain development. Neuropsychopharmacology, 43(1), 2133. https://doi.org/10.1038/npp.2017.143.CrossRefGoogle ScholarPubMed
Min, M. O., Minnes, S., Kim, H., & Singer, L. T. (2013). Pathways linking childhood maltreatment and adult physical health. Child Abuse & Neglect, 37(6), 361373. https://doi.org/10.1016/j.chiabu.2012.09.008.CrossRefGoogle ScholarPubMed
Mor, G., Cardenas, I., Abrahams, V., & Guller, S. (2011). Inflammation and pregnancy: The role of the immune system at the implantation site. Annals of the New York Academy of Sciences, 1221(1), 8087. https://doi.org/10.1111/j.1749-6632.2010.05938.x.CrossRefGoogle ScholarPubMed
Nemeroff, C. B. (2016). Paradise lost: The neurobiological and clinical consequences of child abuse and neglect. Neuron, 89(5), 892909. https://doi.org/10.1016/j.neuron.2016.01.019.CrossRefGoogle ScholarPubMed
Neumeister, A., Seidel, J., Ragen, B. J., & Pietrzak, R. H. (2015). Translational evidence for a role of endocannabinoids in the etiology and treatment of posttraumatic stress disorder. Psychoneuroendocrinology, 51, 577584. https://doi.org/10.1016/j.psyneuen.2014.10.012.CrossRefGoogle ScholarPubMed
O'Sullivan, S. E., & Kendall, D. A. (2010). Cannabinoid activation of peroxisome proliferator-activated receptors: Potential for modulation of inflammatory disease. Immunobiology, 215(8), 611616. https://doi.org/10.1016/j.imbio.2009.09.007.CrossRefGoogle ScholarPubMed
R Core Team. (2019). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. URL: https://www.R-project.org/.Google Scholar
Riebe, C. J., & Wotjak, C. T. (2011). Endocannabinoids and stress. Stress (Amsterdam, Netherlands), 14(4), 384397. https://doi:10.3109/10253890.2011.586753.CrossRefGoogle ScholarPubMed
Romero-Sanchiz, P., Nogueira-Arjona, R., Pastor, A., Araos, P., Serrano, A., Boronat, A., … de Fonseca, F. R. (2019). Plasma concentrations of oleoylethanolamide in a primary care sample of depressed patients are increased in those treated with selective serotonin reuptake inhibitor-type antidepressants. Neuropharmacology, 149, 212220. https://doi.org/10.1016/j.neuropharm.2019.02.026.CrossRefGoogle Scholar
Schuel, H., Burkman, L. J., Lippes, J., Crickard, K., Forester, E., Piomelli, D., & Giuffrida, A. (2002). N-Acylethanolamines in human reproductive fluids. Chemistry and Physics of Lipids, 121(1-2), 211227. https://doi.org/10.1016/s0009-3084(02)00158-5.CrossRefGoogle ScholarPubMed
Strueber, N., Strueber, D., & Roth, G. (2014). Impact of early adversity on glucocorticoid regulation and later mental disorders. Neuroscience and Biobehavioral Reviews, 38(1), 1737. https://doi:10.1016/j.neubiorev.2013.10.015.CrossRefGoogle Scholar
Sugiura, T., Kodaka, T., Kondo, S., Tonegawa, T., Nakane, S., Kishimoto, S., … Waku, K. (1996). 2-Arachidonoylglycerol, A putative endogenous cannabinoid receptor ligand, induces rapid, transient elevation of intracellular free Ca2+ in neuroblastoma x glioma hybrid NG108-15 cells. Biochemical and Biophysical Research Communications, 229(1), 5864. https://doi.org/10.1006/bbrc.1996.1757.CrossRefGoogle ScholarPubMed
Taylor, A. H., Amoako, A. A., Bambang, K., Karasu, T., Gebeh, A., Lam, P. M., … Konje, J. C. (2010). Endocannabinoids and pregnancy. Clinica Chimica Acta, 411(13–14), 921930. https://doi:10.1016/j.cca.2010.03.012.CrossRefGoogle ScholarPubMed
Thakkar, R., & McCanne, T. (2000). The effects of daily stressors on physical health in women with and without a childhood history of sexual abuse. Child Abuse & Neglect, 24(2), 209221. https://doi:10.1016/s0145-2134(99)00129-5.CrossRefGoogle ScholarPubMed
Thieme, D., Anielski, P., Helfers, A. K., & Krumbholz, A. (2020). Analytical approaches to the quantitative evaluation of endocannabinoids and glucocorticoids as stress markers: Growing evidence for hair testing. In Chouker, A. (ed.), Stress challenges and immunity in space (pp. 535552). Cham: Springer. https://doi.org/10.1007/978-3-030-16996-1_29.CrossRefGoogle Scholar
Tsuboi, K., Uyama, T., Okamoto, Y., & Ueda, N. (2018). Endocannabinoids and related N-acylethanolamines: Biological activities and metabolism. Inflammation and Regeneration, 38, 110. https://doi.org/10.1186/s41232-018-0086-5.CrossRefGoogle ScholarPubMed
Vaughn, L. K., Denning, G., Stuhr, K. L., de Wit, H., Hill, M. N., & Hillard, C. J. (2010). Endocannabinoid signalling: Has it got rhythm? British Journal of Pharmacology, 160(3), 530543. https://doi.org/10.1111/j.1476-5381.2010.00790.x.CrossRefGoogle ScholarPubMed
Voegel, C. D., Baumgartner, M. R., Kraemer, T., Wüst, S., & Binz, T. M. (2021). Simultaneous quantification of steroid hormones and endocannabinoids (ECs) in human hair using an automated supported liquid extraction (SLE) and LC-MS/MS–insights into EC baseline values and correlation to steroid concentrations. Talanta, 222, 121499. https://doi.org/10.1016/j.talanta.2020.121499.CrossRefGoogle Scholar
Wennig, R. (2000). Potential problems with the interpretation of hair analysis results. Forensic Science International, 107, 13. https://doi.org/10.1016/s0379-0738(99)00146-2.CrossRefGoogle ScholarPubMed
Wilker, S., Pfeiffer, A., Elbert, T., Ovuga, E., Karabatsiakis, A., Krumbholz, A., … Kolassa, I. T. (2016). Endocannabinoid concentrations in hair are associated with PTSD symptom severity. Psychoneuroendocrinology, 67, 198206. https://doi:10.1016/j.psyneuen.2016.02.010.CrossRefGoogle ScholarPubMed
Zoerner, A. A., Batkai, S., Suchy, M. T., Gutzki, F. M., Engeli, S., Jordan, J., & Tsikas, D. (2012). Simultaneous UPLC–MS/MS quantification of the endocannabinoids 2–arachidonoyl glycerol (2AG), 1-arachidonoyl glycerol (1AG), and anandamide in human plasma: Minimization of matrix-effects, 2AG/1AG isomerization and degradation by toluene solvent extraction. Journal of Chromatography B, 883, 161171. https://doi:10.1016/j.jchromb.2011.06.025.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Sociodemographic and clinical characteristics for mothers and children shortly after parturition (t0) and 12 months postpartum (t2)

Figure 1

Table 2. Spearman rank correlations of maternal childhood maltreatment exposure with endocannabinoids measured in maternal hair and infant hair

Figure 2

Figure 1. Course of endocannabinoids depending on maternal CM. Endocannabinoid (eCB) and N-acylethanolamines (NAE) hair concentrations (pg/mg) in mothers (a–d; Nt0 = 150, Nt2 = 148) and their children (e–h; Nt0 = 92, Nt2 = 170) with lower (CM−) and higher childhood maltreatment (CM+) load representing last trimester of pregnancy and 12 months postpartum. t0 hair sampled shortly after birth, representing the last trimester of pregnancy; t2 hair sampled 12 months postpartum, representing 10 to 12 months postpartum. Depicted in the upper right corner are p-values of significant post hoc tests of Time × CM load interactions. 2-AG/1-AG 2-arachidonoylglycerol, SEA stearoylethanolamide, OEA oleoylethanolamide, PEA palmitoylethanolamide.

Figure 3

Table 3. Results of robust linear mixed effects models for endocannabinoid concentrations in mothers (Nt0 = 150; N t2 = 148) a

Figure 4

Table 4. Results of robust linear mixed effect models for endocannabinoid concentrations in children (Nt0 = 92; N t2 = 170)a

Supplementary material: File

Hitzler et al. supplementary material
Download undefined(File)
File 5.6 MB