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Investigating mitochondrial bioenergetics in peripheral blood mononuclear cells of women with childhood maltreatment from post-parturition period to one-year follow-up

Published online by Cambridge University Press:  21 March 2022

Anja M. Gumpp*
Affiliation:
Clinical & Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
Alexander Behnke
Affiliation:
Clinical & Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
Laura Ramo-Fernández
Affiliation:
Clinical & Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
Peter Radermacher
Affiliation:
Institute of Anesthesiological Pathophysiology and Process Engineering, University Hospital Ulm, Ulm, Germany
Harald Gündel
Affiliation:
Department of Psychosomatic Medicine and Psychotherapy, University Hospital Ulm, Ulm, Germany
Ute Ziegenhain
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Ulm, Ulm, Germany
Alexander Karabatsiakis
Affiliation:
Clinical & Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany Clinical Psychology, Institute of Psychology, University of Innsbruck, Innsbruck, Austria
Iris-Tatjana Kolassa*
Affiliation:
Clinical & Biological Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
*
Author for correspondence: Anja M. Gumpp, E-mail: anja.gumpp@uni-ulm.de; Iris-Tatjana Kolassa, E-mail: iris.kolassa@uni-ulm.de
Author for correspondence: Anja M. Gumpp, E-mail: anja.gumpp@uni-ulm.de; Iris-Tatjana Kolassa, E-mail: iris.kolassa@uni-ulm.de
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Abstract

Background

Childhood maltreatment (CM) exerts various long-lasting psychological and biological changes in affected individuals, with inflammation being an interconnecting element. Besides chronic low-grade inflammation, CM might also affect the energy production of cells by altering the function and density of mitochondria, i.e. the body's main energy suppliers. Here, we compared mitochondrial respiration and density in intact peripheral blood mononuclear cells (PBMC), from women with and without CM between two time points, i.e. at the highly inflammatory phase within 1 week after parturition (t0) and again after 1 year (t2).

Methods

CM exposure was assessed with the Childhood Trauma Questionnaire. Whole blood was collected from n = 52 healthy women within the study ‘My Childhood – Your Childhood’ at both time points to isolate and cryopreserve PBMC. Thawed PBMC were used to measure mitochondrial respiration and density by high-resolution respirometry followed by spectrophotometric analyses of citrate-synthase activity.

Results

Over time, quantitative respiratory parameters increased, while qualitative flux control ratios decreased, independently of CM. Women with CM showed higher mitochondrial respiration and density at t0, but not at t2. We found significant CM group × time interaction effects for ATP-turnover-related respiration and mitochondrial density.

Conclusions

This is the first study to longitudinally investigate mitochondrial bioenergetics in postpartum women with and without CM. Our results indicate that CM-related mitochondrial alterations reflect allostatic load, probably due to higher inflammatory states during parturition, which normalize later. However, later inflammatory states might moderate the vulnerability for a second-hit on the level of mitochondrial bioenergetics, at least in immune cells.

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), 2022. Published by Cambridge University Press

Introduction

Childhood maltreatment (CM) includes experiences of physical, sexual, and/or emotional abuse, as well as physical and/or emotional neglect during childhood and adolescence. Experiences of CM present aversive, often chronic, and repetitive stressors (WHO, 2020) that can have lifelong detrimental health consequences. Individuals with CM have a higher risk to develop somatic (e.g. cardiovascular or metabolic diseases) and mental diseases (e.g. depression or posttraumatic stress disorder) later in life (Nemeroff, Reference Nemeroff2016).

Previous research linked the elevated physical and mental morbidity in individuals with CM to profound and persistent alterations in the psychobiological reactivity to stress, assuming a dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis (reviewed in Guilliams & Edwards, Reference Guilliams and Edwards2010; Tarullo & Gunnar, Reference Tarullo and Gunnar2006) along with persistent immunological alterations involving chronic low-grade inflammation and elevated levels of oxidative stress (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016; Coelho, Viola, Walss-Bass, Brietzke, & Grassi-Oliveira, Reference Coelho, Viola, Walss-Bass, Brietzke and Grassi-Oliveira2014; Danese, Pariante, Caspi, Taylor, & Poulton, Reference Danese, Pariante, Caspi, Taylor and Poulton2007; do Prado et al., Reference do Prado, Grassi-Oliveira, Wieck, Zaparte, Filho, da Silva Morrone and Bauer2016). A common mechanism behind these alterations could be changes in mitochondrial bioenergetics. Mitochondria are not only the essential provider of cellular energy for stress and immune responses, they are also the main source of oxidative stress and are viewed as ‘sovereign of inflammation’ (Mills, Kelly, & O'Neill, Reference Mills, Kelly and O'Neill2017; Tschopp, Reference Tschopp2011).

Mitochondria are highly dynamic organelles found in almost all eukaryotic cells to which they provide cellular energy in the form of adenosine triphosphate (ATP). Through a process called oxidative phosphorylation (OXPHOS), mitochondria use oxygen to gradually degrade nutrients (e.g. sugars, amino acids, and fatty acids) to produce ATP (Wilson, Reference Wilson2017). Additionally, mitochondria are important regulators of inflammatory processes (Nakahira et al., Reference Nakahira, Haspel, Rathinam, Lee, Dolinay, Lam and Choi2011; Sorbara & Girardin, Reference Sorbara and Girardin2011; Zhou, Yazdi, Menu, & Tschopp, Reference Zhou, Yazdi, Menu and Tschopp2011) through the emission of reactive oxygen species (ROS) (López-Armada, Riveiro-Naveira, Vaamonde-García, & Valcárcel-Ares, Reference López-Armada, Riveiro-Naveira, Vaamonde-García and Valcárcel-Ares2013; Valko et al., Reference Valko, Leibfritz, Moncol, Cronin, Mazur and Telser2007) and the secretion of mitochondrial DNA (mtDNA) as inflammatory signals (Hummel et al., Reference Hummel, Hessas, Müller, Beiter, Fisch, Eibl and Moser2018; Trumpff et al., Reference Trumpff, Marsland, Basualto-Alarcón, Martin, Carroll, Sturm and Picard2019). They are further involved in the regulation of cellular calcium homeostasis (Pizzo, Drago, Filadi, & Pozzan, Reference Pizzo, Drago, Filadi and Pozzan2012), redox balance (Schulz, Wenzel, Münzel, & Daiber, Reference Schulz, Wenzel, Münzel and Daiber2014), and apoptosis (Newmeyer & Ferguson-Miller, Reference Newmeyer and Ferguson-Miller2003).

Recent research linked alterations in mitochondrial bioenergetics to various adverse mental and physical health conditions (Daniels, Olsen, & Tyrka, Reference Daniels, Olsen and Tyrka2020; Srivastava, Reference Srivastava2017). For example, changes in mitochondrial bioenergetics were observed in major depression as a highly prevalent mental health consequence of CM (Gumpp et al., Reference Gumpp, Behnke, Bach, Piller, Boeck, Rojas and Kolassa2021; Hroudová, Fišar, Kitzlerová, Zvěřová, & Raboch, Reference Hroudová, Fišar, Kitzlerová, Zvěřová and Raboch2013; Karabatsiakis et al., Reference Karabatsiakis, Boeck, Salinas-Manrique, Kolassa, Calzia, Dietrich and Kolassa2014; Kuffner et al., Reference Kuffner, Triebelhorn, Meindl, Benner, Manook, Sudria-Lopez and Wetzel2020).

There is also growing evidence that a history of CM might exert effects on mitochondrial bioenergetics in adulthood. In previous studies, we demonstrated that postpartum women with CM experiences showed elevated levels of mitochondrial function in peripheral blood mononuclear cells (PBMC) (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016; Gumpp et al., Reference Gumpp, Boeck, Behnke, Bach, Ramo-Fernández, Welz and Karabatsiakis2020). We found elevated basal mitochondrial activity, increased ATP-turnover-related respiration, and higher mitochondrial density in women with CM shortly after parturition (Gumpp et al., Reference Gumpp, Boeck, Behnke, Bach, Ramo-Fernández, Welz and Karabatsiakis2020). Mitochondria of women with CM at 3 months postpartum still exhibited higher levels of basal mitochondrial activity and increased ATP production-related respiration compared to women without CM. However, there were no differences anymore with respect to intracellular mitochondrial density as measured through the activity of the mitochondrial enzyme Citrate synthase (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016).

Upregulated mitochondrial activity and density following parturition might reflect the elevated energy demand of pregnancy and parturition itself (King, Reference King2000) as well as the increased inflammatory activity due to postpartum wound healing (Christian & Porter, Reference Christian and Porter2014; Corwin, Bozoky, Pugh, & Johnston, Reference Corwin, Bozoky, Pugh and Johnston2003; Maes, Ombelet, De Jongh, Kenis, & Bosmans, Reference Maes, Ombelet, De Jongh, Kenis and Bosmans2001; Stewart et al., Reference Stewart, Freeman, Ramsay, Greer, Caslake and Ferrell2007). We accordingly showed among postpartum women that the increased mitochondrial activity was positively linked to the spontaneous release of pro-inflammatory cytokines by PBMCs (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016). Chronic psychological stress such as CM negatively impacts the detrimental effects on the organism's capability of self-repair and immunity (Dhabhar, Reference Dhabhar2014) and compromises the physiological processes of wound healing (Christian, Graham, Padgett, Glaser, & Kiecolt-Glaser, Reference Christian, Graham, Padgett, Glaser and Kiecolt-Glaser2006; Kiecolt-Glaser, Marucha, Mercado, Malarkey, & Glaser, Reference Kiecolt-Glaser, Marucha, Mercado, Malarkey and Glaser1995). Women with a CM history might thus present increased inflammatory activity and, presumably, slower wound healing in the time between parturition and the immunological ‘recovery’ tothe pre-pregnant immune state which may take up to 1 year (Watanabe et al., Reference Watanabe, Iwatani, Kaneda, Hidaka, Mitsuda, Morimoto and Amino1997). Accordingly, upregulated mitochondrial activity and density following parturition could be a transient state limited to the first months after giving birth. However, no study has yet examined the temporal stability of CM-associated changes in mitochondrial bioenergetics and biogenesis across 1 year postpartum.

However, there is also the first evidence that CM-related mitochondrial alterations might persist beyond phases of an acute physiological challenge. Tyrka et al. (Reference Tyrka, Parade, Price, Kao, Porton, Philip and Carpenter2016) demonstrated higher mtDNA copy number (mtDNAcn) as another marker of mitochondrial content in leukocytes of non-pregnant, non-postpartum adults with CM compared to those without CM, indicating that CM-related alterations in mitochondrial density might not be limited to the postpartum period. Another study also reported significantly higher mtDNAcn being linked to experiences of childhood sexual abuse in clinically depressed women; however, this finding did not translate to healthy controls (Cai et al., Reference Cai, Chang, Li, Li, Hu, Liang and Flint2015).

Based on the aforementioned findings, we investigate whether (i) the higher mitochondrial respiratory activity and density observed in mothers with CM compared to mothers without CM shortly occurs specifically after parturition, presenting an ‘allostatic state’ due to the burden of postpartum inflammation and wound healing; or (ii) whether it represents a permanent (‘trait’-like) alteration that is present beyond the postpartum phase. For this purpose, we analyzed data from the longitudinal study ‘My Childhood – Your Childhood’ to characterize the mitochondrial bioenergetic profile in PBMCs of healthy women with and without CM at 1 week after parturition and at 1 year later.

Methods and materials

Study design

Participants consisted of healthy community women who were recruited within the longitudinal study ‘My Childhood – Your Childhood’ from October 2013 to December 2015 (for more details see Koenig et al., Reference Koenig, Gao, Umlauft, Schury, Reister, Kirschbaum and Kolassa2018 and online Supplementary Fig. S1). In short, mothers were recruited within 1 week after parturition [M (s.d.) = 2.3 (1.2) days for the cohort of this paper]. Exclusion criteria for mothers were insufficient knowledge of the German language, severe complications during parturition (e.g. stillbirths), any severe health problems of either mother or child (e.g. admission of the newborns or mothers to the intensive care unit), and maternal age under 18 years (see online Supplementary Fig. S1). Dropout rates are reported in online Supplementary Fig. S1.

After obtaining written informed consent, sociodemographic and clinical data were assessed in a psychodiagnostic interview (t 0). The German short 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) was used to assess retrospectively adverse childhood experiences (abuse and neglect). Trained psychologists conducted the CTQ as an interview due to the emotionally sensitive situation of the participating women. Using standardized and established mild cut-off criteria for the CTQ, women without any CM experiences were classified as CM−, whereas those with at least mild CM experiences in at least one CTQ subscale were categorized as CM+ (Bernstein & Fink, Reference Bernstein and Fink1998). The CTQ sum score (possible range 25–125) was used as a cumulative burden of CM exposure (Schury & Kolassa, Reference Schury and Kolassa2012).

At the 3 months postpartum follow-up (t 1), current and lifetime psychiatric disorders of the women were examined using the German research version of the Structured Clinical Interview (SCID-I) (Wittchen, Zaudig, & Fydrich, Reference Wittchen, Zaudig and Fydrich1997) for the diagnosis of axis-I disorders according to the Diagnostic and Statistical Manual of Mental Disorders, version IV (DSM-IV-TR; American Psychiatric Association, 2000). The SCID-I has been updated by experienced clinicians to allow for diagnosis according to the Diagnostic and Statistical Manual of Mental Disorders, version 5 (DSM-5; American Psychiatric Association, 2013).

About 1 year after parturition [M (s.d.) = 381.7 (28.6) days for the cohort of this paper], the women were re-invited for a second follow-up (t 2; for drop-out rates see online Supplementary Fig. S1) comprising a psychological interview and assessments of sociodemographic and medical data. Participants received a small remuneration each time they participated in the study.

Mothers with and without CM only differed in the CTQ sum score and the CTQ subscale scores, but not in other descriptive characteristics (Table 1). All study procedures were approved by the Ethics Committee of Ulm University and conducted in accordance with the Declaration of Helsinki (World Medical Association, 2013).

Table 1. Sociodemographic and clinical characteristics of the women (n = 52)

Note. *p < 0.050, **p < 0.010, ***p < 0.001, two-tailed. CM, Childhood maltreatment; CM+, Women with at least mild to severe CM experiences; CM−, Women without CM experiences; CTQ, Childhood Trauma Questionnaire.

1 Two-tailed Student's t tests/Mann–Whitney U tests/χ2-tests/Fisher's exact tests were calculated where appropriate. CM− group as a reference group. As effect size measure Cohen's d, r, or Cramer's V is reported.

2 n = 50, two missings in CM+ group.

3 n = 51, one missing in CM− group.

4 SCID-I was assessed at 3 months postpartum (t 1). SCID-I data are available for n = 50 women (CM− group: n = 28, CM+ group: n = 22); multiple diagnoses are possible; additional lifetime diagnoses: specific phobia (n = 4), panic disorder (n = 3), alcohol disorder (n = 2), acute stress disorder (n = 1), adjustment disorder (n = 1), agoraphobia (n = 1), posttraumatic stress disorder (n = 1), social phobia (n = 1), unspecific anxiety disorder (n = 1).

5 n = 51, one missing in CM+ group.

Peripheral blood processing

At t 0 and t 2, peripheral non-fasting venous blood from the women (up to 32 ml) was drawn into Citrate-phosphate-dextrose-adenine (CPDA)-buffered monovettes (Sarstedt, Nürmbrecht, Germany). PBMC were isolated by Ficoll-Hypaque density gradient centrifugation (GE Healthcare, Chalfont St Giles, UK) according to the manufacturer's protocol and stored frozen at −80 °C in cryopreservation medium (dimethyl sulphoxide: Sigma-Aldrich, St. Louis, MO, USA; fetal calf serum (FCS): Sigma-Aldrich; dilution 1:10) until biological analyses. Additionally, a small volume of venous blood was collected into EDTA-buffered blood monovettes (Sarstedt) at both time points to generate standard hemograms at the Institute for Clinical Chemistry of Ulm University to account for possible changes in the blood cell composition. Blood cell compositions of postpartum women at t 0 (Gennaro et al., Reference Gennaro, Fehder, Gallagher, Miller, Douglas and Campbell1997) and t 2 (Perkins, Reference Perkins1999) were comparable to other studies. CM− and CM+ mothers did not differ in hemograms (blood cell composition; see Table 2) at t 0 (leukocytes: U = 700.5, r = −0.17, p = 0.258; lymphocytes: t(45) = 0.90, d = 0.26, p = 0.374; monocytes: t(45) = 0.39, d = −0.12, p = 0.696) or at t 2 (leukocytes: U = 723.5, r = −0.03, p = 0.853; lymphocytes: t(48) = 1.12, d = 0.32, p = 0.269; monocytes: t(48) = 0.23, d = −0.06, p = 0.822).

Table 2. Biological raw data of the women at t 0 and t 2 (n = 52)

CM, childhood maltreatment; CM+, Women with at least mild to severe CM experiences; CM−, Women without CM experiences.

All measures are given as mean [standard deviation]. Primary mitochondrial respiration parameters are presented corrected for Residual oxygen consumption (ROX). For the range (minimum-maximum) see online Supplementary Table S1.

1 Blood counts available from n = 47 women at t 0 (CM− group: n = 27, CM+ group: n = 20) and n = 50 women at t 2 (CM− group: n = 28, CM+ group: n = 22); Blood cell compositions of postpartum women at t 0 (Gennaro et al., Reference Gennaro, Fehder, Gallagher, Miller, Douglas and Campbell1997) and at t 2 (Perkins, Reference Perkins1999) were comparable to other studies. CM− and CM+ mothers did not differ in blood cell composition at t 0 (leukocytes: U = 700.5, r = −0.17, p = 0.258; lymphocytes: t(45) = 0.90, d = 0.26, p = 0.374; monocytes: t(45) = 0.39, d = −0.12, p = 0.696) or at t 2 (leukocytes: U = 723.5, r = −0.03, p = 0.853; lymphocytes: t(48) = 1.12, d = 0.32, p = 0.269; monocytes: t(48) = 0.23, d = −0.06, p = 0.822).

2 Samples of women with and without CM did not differ in the storage time of cryopreserved cells [t 0: U = 710.50, r = 0.15, p = 0.285; t 2: t(50) = −0.04, d = −0.01, p = 0.967].

The linear mixed effect models for the standard hemograms revealed that the blood composition did not differ between CM− and CM+ group but changed significantly from t 0 to t 2 in both groups (main effect Time; p < 0.001). Whereas the number of leukocytes in whole blood significantly decreased, the percentage of lymphocytes and monocytes in whole blood significantly increased from t 0 to t 2 in both groups.

Mitochondrial respiration in intact PBMC

As previously described, mitochondrial respiration in intact PBMC was measured by high-resolution respirometry using a Substrate-Uncoupler-Inhibitor-Titration (SUIT) protocol on an air-calibrated O2k Oxygraph (Oroboros Instruments, Innsbruck, Austria) (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016, Reference Boeck, Gumpp, Calzia, Radermacher, Waller, Karabatsiakis and Kolassa2018a; Gumpp et al., Reference Gumpp, Boeck, Behnke, Bach, Ramo-Fernández, Welz and Karabatsiakis2020). Physiological respiration (Routine respiration) was first measured as basal mitochondrial oxygen consumption of intact PBMC. The addition of 0.5 μl of the ATP synthase (Complex V)-inhibitor Oligomycin (5 mm stock; Sigma-Aldrich) induced Leak respiration, which compensates for proton leak, slippage, and cation cycling over the inner mitochondrial membrane (Pesta & Gnaiger, Reference Pesta, Gnaiger, Palmeira and Moreno2012). The difference between Routine respiration and Leak respiration represents the ATP-turnover-related respiration and reflects the oxygen consumption related to ATP production by the ATP synthase. Then the uncoupler FCCP (1 mm stock; Sigma-Aldrich) was titrated (first 1 μl, followed by 0.5 μl steps) to measure the Uncoupled respiration, which indicates the non-physiological maximal capacity of the respiratory chain that is not limited by the enzyme activity of ATP synthase. Spare respiratory capacity is calculated as the difference between Uncoupled respiration and Routine respiration and represents the additional capacity of the electron transport system (ETS) to produce ATP on top of the basal cellular energy demand. Thereafter, the addition of 1 μl Complex I-inhibitor Rotenone (1 mm stock; Sigma-Aldrich) and 1 μl Complex III-inhibitor Antimycin A (5 mm stock; Sigma-Aldrich) enables the measurement of the so-called Residual oxygen consumption (ROX). ROX estimates the cellular oxygen consumption linked to oxidative side reactions remaining after the complete blocking of the respiratory chain (Pesta & Gnaiger, Reference Pesta, Gnaiger, Palmeira and Moreno2012) as well as the technical background noise of the oxygraph. According to the manufacturer's recommendations (Pesta & Gnaiger, Reference Pesta, Gnaiger, Palmeira and Moreno2012), ROX was subtracted from all other values to evaluate the cellular oxygen consumption related to mitochondrial activity.

For further qualitative analysis, flux control ratios were calculated based on the measured respiratory values as internal normalization to control for cell size, cell morphology, and mitochondrial content (Pesta & Gnaiger, Reference Pesta, Gnaiger, Palmeira and Moreno2012): Routine Control Ratio (Routine respiration/Uncoupled respiration); Leak Control Ratio (Leak respiration/Uncoupled respiration); Net Routine Control Ratio (ATP-turnover-related respiration/Uncoupled respiration); Coupling Efficiency (ATP-turnover-related respiration/Routine respiration).

Samples were measured in duplicates and blinded concerning group assignment. Raw values of both oxygraph chambers were normalized for the number of living cells in the sample and averaged oxygen consumption rates were used for statistical analyses (see Table 2). After the experiment, 500 000 cells were shock-frozen in liquid nitrogen for the measurement of mitochondrial density.

Spectrophotometric measurements of the mitochondrial density per cell

To quantify the density of the mitochondrial network per cell, it is the gold standard to measure the activity of the mitochondrial enzyme Citrate synthase (Larsen et al., Reference Larsen, Nielsen, Hansen, Nielsen, Wibrand, Stride and Hey-Mogensen2012). Following respirometry, Citrate-synthase activity (CSA) was determined spectrophotometrically at 30 °C as previously described (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016; Eigentler et al., Reference Eigentler, Draxl, Wiethüchter, Kuznetsov, Lassing and Gnaiger2012; Gumpp et al., Reference Gumpp, Boeck, Behnke, Bach, Ramo-Fernández, Welz and Karabatsiakis2020; Karabatsiakis et al., Reference Karabatsiakis, Boeck, Salinas-Manrique, Kolassa, Calzia, Dietrich and Kolassa2014). Values from high-resolution respirometry were normalized for the intracellular density of mitochondria via division by the Citrate-synthase activity.

Data analysis

All statistical analyses were conducted with R 3.6.1 (R Core Team, 2019). Student's t tests were used to test for differences between groups that were normally distributed with equal variances. Upon nonnormality and/or variance inhomogeneity, non-parametric Mann-Whitney U tests were used. Linear mixed effect models (using the R package lme4; Bates, Mächler, Bolker, & Walker, Reference Bates, Mächler, Bolker and Walker2015) were used to investigate whether mitochondrial respiration and density (i) changed from t 0 to t 2 (main effect Time), (ii) differed between CM− and CM+ mothers (main effect CM group), and (iii) whether the changes over time were group-specific (CM group × Time interaction). As data were nested within participants due to repeated measures, random intercepts were modeled for each participant. Histograms were examined to ensure a sufficient normal distribution of model residuals. Models applied type-III squared sums. All reported analyses were performed two-tailed with the significance level set at p ≤ 0.05.

Subsequently, the nature of Time × CM group interactions was explored in detail using post-hoc tests (i.e. linear contrasts, using the emmeans package for R, Lenth, Reference Lenth2019). p values of the post-hoc tests to explore an interaction were adjusted with the Benjamini-Hochberg (false discovery rate, FDR) procedure (Benjamini & Hochberg, Reference Benjamini and Hochberg1995). Duration of cell cryopreservation served as a covariate for the mitochondrial parameters as it affects mitochondrial functioning of cryopreserved cells (Keane, Calton, Cruzat, Soares, & Newsholme, Reference Keane, Calton, Cruzat, Soares and Newsholme2015; Larsen et al., Reference Larsen, Nielsen, Hansen, Nielsen, Wibrand, Stride and Hey-Mogensen2012; Nicholas et al., Reference Nicholas, Proctor, Raval, Ip, Habib, Ritou and Nikolajczyk2017). Samples of women with and without CM did not differ in duration of cell cryopreservation [t 0: U = 710.50, r = 0.15, p = 0.285; t 2: t(50) = −0.04, d = −0.01, p = 0.967; see Table 2].

Results

The linear mixed effect models revealed significant CM group × Time interactions for ATP-turnover-related respiration (p = 0.048), CSA (p = 0.033), and for Routine respiration in trend (p = 0.075; Table 3). As displayed in Fig. 1, at t 0, CM+ mothers exhibited significantly higher Routine (pFDR = 0.011; Fig. 1a), ATP-turnover-related respiration (pFDR = 0.016; Fig. 1d), and CSA (pFDR = 0.016; Fig. 1j) than CM- mothers, while these differences were not found at t 2 (all pFDR > 0.500; Table 3). Correspondingly, the ATP-turnover-related respiration in CM+ mothers decreased significantly from t 0 to t 2 (p FDR < 0.001; Table 3, Fig. 1d).

Fig. 1. The change in mitochondrial respiration and density from 1 week postpartum (t 0) to 1 year postpartum (t 2) in n = 52 women with a history of childhood maltreatment (CM+, n = 23) and without (CM−, n = 29). Results of the linear mixed effect models are presented as predicted mean ± model-based 95% confidence intervals on the background of raw data. Mitochondrial respiration (ae) was measured by high-resolution respirometry in pmol O2/s per Million living cells. Flux control ratios (fi) were calculated based on the measured respiratory values. As a marker for mitochondrial density (mitochondrial biogenesis), Citrate-synthase activity in pmol/s per Million shock-frozen cells was spectrophotometrically measured. Significant post-hoc tests are denoted by *p < 0.050, **p < 0.010, ***p < 0.001.

Table 3. Results of linear mixed effect models for mitochondrial respiration in women (n = 52)

Note. *p < 0.050, **p < 0.010, ***p < 0.001, two-tailed. Italic p values indicate a trend for significance (p < 0.100). All models are random intercept models (σ ri… standard deviation of random intercepts). Coefficients of determination (R 2) present variance explanation of the total model (including random effects) and, in brackets, variance explanation by fixed effects (i.e. model predictors) only. CM− as a reference group.

1 Linear post-hoc tests were performed to describe the nature of the significant interaction effects. p Values were adjusted for multiple comparisons with the false discovery rate (FDR).

In addition, Leak respiration and Spare respiratory capacity did not differ between groups but increased significantly from t 0 to t 2 in both groups (p < 0.001; Table 3; Fig. 1b and 1e).

Furthermore, there were significant effects of CM group and Time on Uncoupled respiration, while the CM group × Time interaction was not significant (p = 0.171; Table 3). Post-hoc tests revealed that CM+ women had significantly higher Uncoupled respiration than CM− women at t 0 (pFDR = 0.010), although this difference disappeared at t 2 (p FDR = 0.349), since Uncoupled respiration significantly increased from t 0 to t 2 in CM− women only (pFDR = 0.003; Fig. 1c).

We repeated the analyses with the respiration parameters normalized for CSA. As a result, any main effects of CM group and CM group × Time interaction effects diminished, whereas the effects of Time remained significant (see online Supplementary Table S2).

Analyzing the flux control ratios revealed, that Routine control ratio (p < 0.001), Net routine ratio (p < 0.001), and Coupling Efficiency (p < 0.001) significantly decreased from t 0 to t 2 in both groups (Table 4 and Fig. 1fi). Besides, there were neither significant CM group × Time interactions nor significant main effects of CM group (Table 4).

Table 4. Results of linear mixed effect models for mitochondrial flux control ratios in women (n = 52)

Note. *p < 0.050, **p < 0.010, ***p < 0.001, two-tailed. All models are random intercept models (σ ri… standard deviation of random intercepts). Coefficients of determination (R 2) present variance explanation of the total model (including random effects) and, in brackets, variance explanation by fixed effects (i.e. model predictors) only. CM− as a reference group.

1 Linear post-hoc tests were not performed as the CM × Time interactions were not significant.

Discussion

So far, mitochondrial bioenergetics were mainly examined in cross-sectional studies without providing information about the temporal stability of findings. For the first time, we investigated longitudinal alterations in mitochondrial respiration and density in PBMC of women with and without a history of CM at shortly after parturition (t 0) and 1 year after pregnancy (t 2). Thereby, we questioned whether our previous observations of upregulated mitochondrial bioenergetic profiles in PBMC of postpartum women with CM (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016; Gumpp et al., Reference Gumpp, Boeck, Behnke, Bach, Ramo-Fernández, Welz and Karabatsiakis2020) remain stable over time or temporarily peak during phases of allostatic load, namely temporarily elevated inflammation at the postpartum period. Our results revealed that, independently of the women's CM experiences, the mitochondria of all women exhibited higher flux-control ratios at t 0 as compared to t 2. In contrast, the mitochondrial respiration parameters Leak respiration and Spare respiratory capacity increased from t 0 to t 2.

In healthy postpartum women, the immune system is stimulated by labor as well as delivery to increase the production of pro-inflammatory cytokines, resulting in an upregulation of inflammatory processes (Corwin et al., Reference Corwin, Bozoky, Pugh and Johnston2003; Maes et al., Reference Maes, Ombelet, De Jongh, Kenis and Bosmans2001). Across the next weeks to months, women recover from childbirth and inflammation regresses. With recovery, the women's HPA axis function, which is suppressed following delivery, normalizes and its hormones return to confine the inflammation (Mastorakos & Ilias, Reference Mastorakos and Ilias2003).

In line with this, we found in our cohort a significant decrease of the white blood cell count (number of leukocytes in whole blood) from t 0 to t 2 in both groups indicating a decrease in inflammatory processes from t 0 to t 2. Leukocytes are mediators of inflammation and have a key role in host defense to injury. Increased white blood cell count has been associated with several adverse health conditions, like diabetes (Vozarova et al., Reference Vozarova, Weyer, Lindsay, Pratley, Bogardus and Tataranni2002), coronary heart disease (Madjid & Fatemi, Reference Madjid and Fatemi2013), or a worse outcome in the general population (De Labry, Campion, Glynn, & Vokonas, Reference De Labry, Campion, Glynn and Vokonas1990).

Further supporting this perspective, we found higher flux-control ratios shortly after parturition compared to one year later, indicating that the capacity of mitochondria in PBMC was temporarily enhanced in order to meet the increased energy demand. The decrease in the mitochondrial flux-control ratios and the corresponding increase of spare respiratory capacity from t 0 to t 2 could imply that at 1 year after parturition, a smaller proportion of the mitochondria's performance capacity is used for basal physiological activities. The increase in spare respiratory capacity, which represents the additional mitochondrial capacity to produce ATP on top of the basal cellular energy demand, might reflect a higher ability of PBMC to produce more ATP in times of increased energy demands to a second stimulus, e.g. an additional stressor or an infection.

Reference values from non-pregnant, non-stressed individuals are not yet available. However, our results indicate that at 1 year after parturition, the mitochondrial respiration and density and presumably also the physiological and immunological responses of the women are recovered to the state before pregnancy. The higher performance load on mitochondria in the period shortly after pregnancy might lead to wear and tear of the mitochondria themselves. Mitochondria are not only the main producers but also the main target of ROS (Lee & Wei, Reference Lee and Wei2005), leading to less performance of ROS-damaged mitochondria. After 1 year, it might be that the mitochondrial ROS production is reduced, the ROS-induced mitochondrial damages are repaired, and/or new mitochondria are generated.

Concerning CM experiences of the women, our study further revealed that shortly after parturition (t 0), PBMC of CM-affected women exhibited significantly higher mitochondrial respiration and density than those of women without CM. In detail, at t 0, the basal physiological activity of mitochondria (i.e. Routine respiration), their energy (ATP) production (i.e. ATP-turnover-related respiration), maximal respiratory capacity (i.e. Uncoupled respiration), and intracellular density (measured as CSA) was higher in PBMC of women with CM history than of women without. Moreover, we found no differences in the flux-control ratios between women with and without CM at t 0. This result pattern was already reported in a larger study cohort of the ‘My Childhood – Your Childhood’ study (Gumpp et al., Reference Gumpp, Boeck, Behnke, Bach, Ramo-Fernández, Welz and Karabatsiakis2020).

Repeating the analyses with the respiration parameters normalized for CSA, the significant CM group × time interactions as well as the significant CM group main effects diminished. Thus, the increased overall cellular respiratory activity observed in CM+ women shortly after parturition (t 0) was likely due to an elevated mitochondrial density per cell. This higher amount of mitochondria per cell increases the total respiration capacity of PBMC, possibly to provide the immune system of CM+ mothers with additional energy after parturition (see Gumpp et al., Reference Gumpp, Boeck, Behnke, Bach, Ramo-Fernández, Welz and Karabatsiakis2020 for more detail). A previous study of ours showed that at 3 months postpartum, mitochondria of women with CM still exhibited higher basal mitochondrial activity and an increased ATP production compared to women without CM; however, their intracellular mitochondrial density was already reduced (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016). With the present study, we showed that at 1 year after parturition (t 2), the group differences in mitochondrial density as well as in mitochondrial respiration between CM− and CM+ women vanished. Hence, a history of CM did no longer account for differences in mitochondrial function and density at t 2. Altogether, these results suggest that in the months after parturition, there is a gradual reduction in mitochondrial density and subsequently in mitochondrial performance.

Conceivably, the postpartum course of mitochondrial bioenergetics is tightly linked to higher energy demand in the immune system of postpartum women with CM. There is growing evidence that early adversity is associated with larger acute stress-induced increases in inflammation (reviewed in Fagundes, Glaser, & Kiecolt-Glaser, Reference Fagundes, Glaser and Kiecolt-Glaser2013). Therefore, we speculate that women with and without CM do not significantly differ in their basal level of peripheral inflammatory markers but in their reactivity of immune cells to external as well as internal immunological challenges (such as stress, infections, or wound healing in the postpartum phase). Moreover, chronic and traumatic stress is associated with slower wound healing, probably due to an impaired immune regulation (Christian et al., Reference Christian, Graham, Padgett, Glaser and Kiecolt-Glaser2006; Kiecolt-Glaser et al., Reference Kiecolt-Glaser, Marucha, Mercado, Malarkey and Glaser1995). Wound healing in CM-affected women might also be compromised or even delayed. The inflammatory response following delivery is elevated in women who previously suffered from depression, suggesting that depression is accompanied by a sensitization of the inflammatory response system (Maes et al., Reference Maes, Ombelet, De Jongh, Kenis and Bosmans2001). In line with these findings, our data suggest that the inflammatory response following delivery might also be elevated in women with a history of CM. It could be speculated that the mutual enhancement of mitochondrial activity and inflammation leads to a prolongation of inflammatory activity and slower healing in CM-affected individuals. Indeed, we provided evidence that increase in mitochondrial respiratory activity was related to the higher release of pro-inflammatory cytokines by PBMC of CM-affected women at 3 months postpartum (Boeck et al., Reference Boeck, Koenig, Schury, Geiger, Karabatsiakis, Wilker and Kolassa2016). These processes altogether present an additional energy demand for the immune system of CM-affected women that needs to be met by immunocellular mitochondria.

Altogether, we speculate that after giving birth, the immune cells of women without CM temporarily increase their mitochondrial performance as reflected by higher flux-control ratios compared to 1 year later. Women with CM, whose immune regulation is impaired, might not only need to increase their mitochondrial performance after parturition, but also their mitochondrial density. Consequently, inflammation and oxidative stress levels might also increase even stronger in women with CM. We postulate that, in women with CM history, the sensitization of the inflammatory response after delivery might explain the higher mitochondrial respiration and density in their early postpartum period. Along with the physiological recovery from childbirth, inflammation regresses and the energy demand of immune cells decreases, leading to a reduction in mitochondrial flux-control ratios in all women. Similarly, mitochondrial density in CM-affected women normalizes during recovery. Moreover, hormonal shifts occur during pregnancy and the postpartum period (reviewed in Hendrick, Altshuler, & Suri, Reference Hendrick, Altshuler and Suri1998) as part of the physical recovery from childbirth and the preparation of the female body for nursing, including oxytocin and prolactin secretion contribute to mother-infant bonding and lactation regulation. Postpartum changes in oxytocin levels could possibly contribute to altered mitochondrial bioenergetics. Indeed, we recently reported a significant interaction between the severity of CM experiences and oxytocin on cellular oxygen consumption of PBMC at 3 months postpartum: in individuals with higher CM severity, higher oxytocin levels were associated with decreased basal mitochondrial respiration and ATP turnover (Boeck et al., Reference Boeck, Gumpp, Calzia, Radermacher, Waller, Karabatsiakis and Kolassa2018a).

Besides, normal human pregnancy dramatically affects the maternal HPA axis (reviewed in Lindsay & Nieman, Reference Lindsay and Nieman2005), resulting in progressive rises in glucocorticoids with advancing gestation. During the postpartum period, the HPA axis gradually recovers from its activated state during pregnancy (Jung et al., Reference Jung, Ho, Torpy, Rogers, Doogue, Lewis and Inder2011; Mastorakos & Ilias, Reference Mastorakos and Ilias2003).

CM is assumed to evoke a complex HPA-axis dysregulation (reviewed in Guilliams & Edwards, Reference Guilliams and Edwards2010; Tarullo & Gunnar, Reference Tarullo and Gunnar2006), and there is evidence on bidirectional connections between glucocorticoids and the physiology and function of mitochondria (Lapp, Ahmed, Moore, & Hunter, Reference Lapp, Ahmed, Moore and Hunter2019; Picard, Juster, & McEwen, Reference Picard, Juster and McEwen2014). Conceivably, pregnancy-related shifts in glucocorticoid levels might affect mitochondrial bioenergetics and could contribute to differences in mitochondrial respiration and density between CM− and CM+ women occurring at early postpartum and which normalize 1 year later. Recently, we could show a significant interaction between the severity of CM experiences and cortisol on cellular oxygen consumption of PBMC at 3 months postpartum: higher cortisol levels were associated with an increase in cellular oxygen consumption related to basal mitochondrial respiration and ATP turnover in individuals with higher CM severity (Boeck et al., Reference Boeck, Gumpp, Calzia, Radermacher, Waller, Karabatsiakis and Kolassa2018a). Additional studies are required to elucidate the relevance of post-pregnancy hormonal changes in the regulation of mitochondrial bioenergetics.

In sum, our results indicate that CM-related mitochondrial alterations could only be detectable under allostatic load, e.g. the immunological challenge of parturition and wound healing in our study, and may disappear later after birth, i.e. when the immune reaction eventually weakens and the acute energy requirement decreases. A higher allostatic load might lead to the observed differences in mitochondrial bioenergetics at t 0 that are vanished by t 2. However, women with a CM history might again differ in their response to subsequent additional stressors. Our study provides evidence that CM experiences influence the biological vulnerability for physical and mental stress later in the later life of affected individuals.

Further research is mandatory to replicate our findings, assess inflammatory markers to proof our suggested model, investigate the involvement of glucocorticoids in that context, and to investigate which external factors might explain the seen differences in mitochondrial function and density in immune cells. These factors should comprise psychosocial factors (e.g. ongoing psychosocial stress, traumatic stress, social support, mother-child interaction) as well as physiological stressors (e.g. sleep deprivation, physical activity, infections). Additionally, the influence of catecholamines in the context of mitochondrial bioenergetics in postpartum women needs further research as catecholamines were found to be increased during delivery. After labor, the catecholamine levels decreased to the levels during late pregnancy (Alehagen, Wijma, Lundberg, Melin, & Wijma, Reference Alehagen, Wijma, Lundberg, Melin and Wijma2001). Investigating the link between mitochondria, inflammation, glucocorticoids, catecholamines, and depressive symptoms might further gain new insights also in the research of postpartum depression.

Strengths

This is the first study to investigate mitochondrial bioenergetic profiles in a longitudinal design, measuring mitochondrial function and density repeatedly among the same women shortly with standardized and highly sensitive methods. We additionally assessed the activity of the mitochondrial enzyme Citrate synthase to consider the density of the intracellular mitochondrial network as an important marker for peripheral mitochondrial alterations. Furthermore, we included standard hemograms in our study to correct the possible influences of immunological alterations in the PBMC subset composition following pregnancy or parturition.

Limitations

To generalize our findings and investigate whether CM-related alterations in mitochondrial bioenergetics become evident specifically under allostatic load, additional research is needed among men and women with concurrent physical or psychosocial stress. The mitochondrial bioenergetic profile was measured in cryopreserved cells and cryopreservation per se has an impact on the quantitative measures related to oxygen consumption rates (Gumpp et al., Reference Gumpp, Behnke, Bach, Piller, Boeck, Rojas and Kolassa2021). Although storage time of cryopreserved cells was statistically considered, we can thus not exclude that freezing procedure and cryopreservation might have differentially affected the immune cells of individuals with and without CM.

Importantly, PBMC comprise different proportions of immune cell subsets (i.e. lymphocytes, monocytes, and dendritic cells), which differ in mitochondrial respiration and density (Chacko et al., Reference Chacko, Kramer, Ravi, Johnson, Hardy, Ballinger and Darley-Usmar2013; Kramer, Ravi, Chacko, Johnson, & Darley-Usmar, Reference Kramer, Ravi, Chacko, Johnson and Darley-Usmar2014). In this study, CM was not associated with the proportion of monocytes and lymphocytes in fresh whole blood. Furthermore, in a study with women at 3 months postpartum, the PBMC subset composition within thawed samples did not differ between women with and without CM history (Boeck et al., Reference Boeck, Krause, Karabatsiakis, Schury, Gündel, Waller and Kolassa2018b). Due to the study design and logistical reasons in the handling of blood samples in the maternity ward 24 h/day, it was not possible to directly measure inflammatory parameters at t 0 and therefore it was also not done at t 2. Furthermore, we were not able to collect data on dietary habits in the investigated sample which might attenuate or reduce inflammation and antioxidant buffer systems besides the effects of CM. However, this aspect of the modulatory influence of diet is highly interesting and relevant, and should be investigated in future studies. Another limitation is the small sample size of the study cohort, restricting its statistical power. The generalizability of our findings might be limited to the characteristics of the study cohort, i.e. a community sample of healthy women of European origin, all living in a partnership with a relatively high socioeconomic status. Our cohort consisted of healthy women who reported relatively low levels of CM load, which might mask some effects of more severe CM experiences and associated clinical outcomes on mitochondrial bioenergetics. Furthermore, the medication during (e.g. epidural analgesia) and after parturition (e.g. analgesics) might have an effect on the measured mitochondrial function and density at t 0.

Conclusion

Mitochondrial bioenergetic profiles of peripheral immune cells in healthy women changed across the first year after giving birth, indicating an adaptation of the mitochondrial network to environmental factors and challenges. Shortly after parturition, maternal CM exposure was linked to a higher mitochondrial density and, as a result, higher mitochondrial respiration per cell. In contrast, at 1 year postpartum, the CM-related alterations in mitochondrial function and density vanished. This observation suggests that CM-related alterations in the energy production of PBMC might only manifest in conditions of allostatic load such as the immunological challenges of parturition. To further promote knowledge in this field, CM should be investigated in non-pregnant individuals using a longitudinal design. We speculate that the biological effects of psychological stress might be enhanced during periods of inflammation. According to the allostatic load model, chronic stress conditions impart vulnerability to dysregulated responses, especially in situations with novel or additional stressors. Thus, impaired allostatic adaptation processes might be the pathway through which CM elevates the risk for poor mental and physical health throughout life.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291722000411

Acknowledgements

We thank Traudl Hiller and Dr Christina Boeck for their tremendous contribution to blood processing and PBMC isolation. We further acknowledge Dr Alexandra M. Bach for her enormous work in participant recruitment, screening and diagnostic interviews. We acknowledge the general support of Dr Frank Reister and the whole maternity-ward staff at Ulm University Hospital. Finally, we would like to thank the complete team of the ‘My Childhood – Your Childhood’ project.

Author contributions

The project was, among others, conceptualized by ITK, AKa, HG, and UZ with AKa contributing core methodological and technical expertise in cryopreservation of PBMC and mitochondrial respirometry. ITK provided additional funding for the biological analyses. Blood collection and processing was, among others, performed by AKa, LR, and AMG. AMG conducted all biological analyses. PR contributed analytical tools for Citrate-synthase activity measurements. AMG and AB performed the statistical analyses and interpreted the data together with ITK and AKa. AMG wrote the manuscript with input and critical revisions from all authors. All authors approved the final manuscript.

Financial support

Data acquisition was funded by the German Federal Ministry of Education and Research (funding number: 01KR1304A). Biological analyses were funded by university resources of ITK. AMG was supported by a PhD scholarship of the Konrad Adenauer Foundation and AB by a PhD scholarship from the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes).

Conflict of interest

None.

Ethical standards

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

Footnotes

*

Authors share authorship in the senior position.

References

Alehagen, S., Wijma, K., Lundberg, U., Melin, B., & Wijma, B. (2001). Catecholamine and cortisol reaction to childbirth. International Journal of Behavioral Medicine, 8, 5065.CrossRefGoogle Scholar
American Psychiatric Association. (2000). Diagnostic criteria from DSM-IV-TR. Washington, DC: American Psychiatric Publishing.Google Scholar
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Washington, DC: American Psychiatric Publishing. https://psychiatryonline.org/doi/book/10.1176/appi.books.9780890425596Google Scholar
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, 223230.CrossRefGoogle Scholar
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 148.CrossRefGoogle Scholar
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, 289300.Google Scholar
Bernstein, D., & Fink, L. (1998). Manual for the childhood trauma questionnaire. New York: The Psychological Corporation.Google Scholar
Boeck, C., Gumpp, A. M., Calzia, E., Radermacher, P., Waller, C., Karabatsiakis, A., & Kolassa, I.-T. (2018a). The association between cortisol, oxytocin, and immune cell mitochondrial oxygen consumption in postpartum women with childhood maltreatment. Psychoneuroendocrinology, 96, 6977.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Boeck, C., Krause, S., Karabatsiakis, A., Schury, K., Gündel, H., Waller, C., & Kolassa, I.-T. (2018b). History of child maltreatment and telomere length in immune cell subsets: Associations with stress- and attachment-related hormones. Development and Psychopathology, 30, 539551.CrossRefGoogle ScholarPubMed
Cai, N., Chang, S., Li, Y., Li, Q., Hu, J., Liang, J., … Flint, J. (2015). Molecular signatures of major depression. Current Biology, 25, 11461156.CrossRefGoogle ScholarPubMed
Chacko, B. K., Kramer, P. A., Ravi, S., Johnson, M. S., Hardy, R. W., Ballinger, S. W., & Darley-Usmar, V. M. (2013). Methods for defining distinct bioenergetic profiles in platelets, lymphocytes, monocytes, and neutrophils, and the oxidative burst from human blood. Laboratory Investigation, 93, 690700.CrossRefGoogle ScholarPubMed
Christian, L. M., Graham, J. E., Padgett, D. A., Glaser, R., & Kiecolt-Glaser, J. K. (2006). Stress and wound healing. Neuroimmunomodulation, 13, 337346.CrossRefGoogle ScholarPubMed
Christian, L. M., & Porter, K. (2014). Longitudinal changes in serum proinflammatory markers across pregnancy and postpartum: Effects of maternal body mass index. Cytokine, 70, 134140.CrossRefGoogle ScholarPubMed
Coelho, R., Viola, T. W., Walss-Bass, C., Brietzke, E., & Grassi-Oliveira, R. (2014). Childhood maltreatment and inflammatory markers: A systematic review. Acta Psychiatrica Scandinavica, 129, 180192.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, 4147.CrossRefGoogle Scholar
Danese, A., Pariante, C. M., Caspi, A., Taylor, A., & Poulton, R. (2007) Childhood maltreatment predicts adult inflammation in a life-course study. Proceedings of the National Academy of Sciences 104, 13191324.CrossRefGoogle Scholar
Daniels, T. E., Olsen, E. M., & Tyrka, A. R. (2020). Stress and psychiatric disorders: The role of mitochondria. Annual Reviews Annual Review of Clinical Psychology, 16, 165186.CrossRefGoogle ScholarPubMed
De Labry, L. O., Campion, E. W., Glynn, R. J., & Vokonas, P. S. (1990). White blood cell count as a predictor of mortality: Results over 18 years from the normative aging study. Journal of Clinical Epidemiology, 43, 153157.CrossRefGoogle ScholarPubMed
Dhabhar, F. S. (2014). Effects of stress on immune function: The good, the bad, and the beautiful. Immunologic Research, 58, 193210.CrossRefGoogle ScholarPubMed
do Prado, C. H., Grassi-Oliveira, R., Wieck, A., Zaparte, A., Filho, L. D., da Silva Morrone, M., … Bauer, M. E. (2016). The impact of childhood maltreatment on redox state: Relationship with oxidative damage and antioxidant defenses in adolescents with no psychiatric disorder. Neuroscience Letters, 617, 173177.CrossRefGoogle ScholarPubMed
Eigentler, A., Draxl, A., Wiethüchter, A., Kuznetsov, A. V., Lassing, B., & Gnaiger, E. (2012). Laboratory protocol: Citrate synthase a mitochondrial marker enzyme. Mitochondrial Physiology Network, 17, 111.Google 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.CrossRefGoogle ScholarPubMed
Gennaro, S., Fehder, W., Gallagher, P., Miller, S., Douglas, S. D., & Campbell, D. E. (1997). Lymphocyte, monocyte, and natural killer cell reference ranges in postpartal women. Clinical and Diagnostic Laboratory Immunology, 4, 195201.CrossRefGoogle ScholarPubMed
Guilliams, T. G., & Edwards, L. (2010). Chronic stress and the HPA axis: Clinical assessment and therapeutic considerations. The Standard, 9, 112.Google Scholar
Gumpp, A. M., Behnke, A., Bach, A. M., Piller, S., Boeck, C., Rojas, R., & Kolassa, I.-T. (2021). Mitochondrial bioenergetics in leukocytes and oxidative stress in blood serum of mild to moderately depressed women. Mitochondrion, 58, 1423.CrossRefGoogle ScholarPubMed
Gumpp, A. M., Boeck, C., Behnke, A., Bach, A. M., Ramo-Fernández, L., Welz, T., … Karabatsiakis, A. (2020). Childhood maltreatment is associated with changes in mitochondrial bioenergetics in maternal, but not in neonatal immune cells. Proceedings of the National Academy of Sciences, 117, 2477824784.CrossRefGoogle ScholarPubMed
Hendrick, V., Altshuler, L. L., & Suri, R. (1998). Hormonal changes in the postpartum and implications for postpartum depression. Psychosomatics, 39, 93101.CrossRefGoogle ScholarPubMed
Hroudová, J., Fišar, Z., Kitzlerová, E., Zvěřová, M., & Raboch, J. (2013). Mitochondrial respiration in blood platelets of depressive patients. Mitochondrion, 13, 795800.CrossRefGoogle ScholarPubMed
Hummel, E. M., Hessas, E., Müller, S., Beiter, T., Fisch, M., Eibl, A., … Moser, D. A. (2018). Cell-free DNA release under psychosocial and physical stress conditions. Translational Psychiatry, 8, 236.CrossRefGoogle ScholarPubMed
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, 15331540.CrossRefGoogle ScholarPubMed
Karabatsiakis, A., Boeck, C., Salinas-Manrique, J., Kolassa, S., Calzia, E., Dietrich, D. E., & Kolassa, I.-T. (2014). Mitochondrial respiration in peripheral blood mononuclear cells correlates with depressive subsymptoms and severity of major depression. Translational Psychiatry, 4, e397e397.CrossRefGoogle ScholarPubMed
Keane, K. N., Calton, E. K., Cruzat, V. F., Soares, M. J., & Newsholme, P. (2015). The impact of cryopreservation on human peripheral blood leucocyte bioenergetics. Clinical Science, 128, 723733.CrossRefGoogle ScholarPubMed
Kiecolt-Glaser, J. K., Marucha, P. T., Mercado, A. M., Malarkey, W. B., & Glaser, R. (1995). Slowing of wound healing by psychological stress. The Lancet, 346, 11941196.CrossRefGoogle ScholarPubMed
King, J. C. (2000). Physiology of pregnancy and nutrient metabolism. The American Journal of Clinical Nutrition, 71, 12181225.CrossRefGoogle ScholarPubMed
Koenig, A. M., Gao, W., Umlauft, M., Schury, K., Reister, F., Kirschbaum, C., … Kolassa, I.-T. (2018). Altered hair endocannabinoid levels in mothers with childhood maltreatment and their newborns. Biological Psychology, 135, 93101.CrossRefGoogle ScholarPubMed
Kramer, P. A., Ravi, S., Chacko, B., Johnson, M. S., & Darley-Usmar, V. M. (2014). A review of the mitochondrial and glycolytic metabolism in human platelets and leukocytes: Implications for their use as bioenergetic biomarkers. Redox Biology, 2, 206210.CrossRefGoogle ScholarPubMed
Kuffner, K., Triebelhorn, J., Meindl, K., Benner, C., Manook, A., Sudria-Lopez, D., … Wetzel, C. H. (2020). Major depressive disorder is associated with impaired mitochondrial function in skin fibroblasts. Cells, 9, 884.CrossRefGoogle ScholarPubMed
Lapp, H. E., Ahmed, S., Moore, C. L., & Hunter, R. G. (2019). Toxic stress history and hypothalamic-pituitary-adrenal axis function in a social stress task: Genetic and epigenetic factors. Neurotoxicology and Teratology, 71, 4149.CrossRefGoogle Scholar
Larsen, S., Nielsen, J., Hansen, C. N., Nielsen, L. B., Wibrand, F., Stride, N., … Hey-Mogensen, M. (2012). Biomarkers of mitochondrial content in skeletal muscle of healthy young human subjects. The Journal of Physiology, 590, 33493360.CrossRefGoogle ScholarPubMed
Lee, H.-C., & Wei, Y.-H. (2005). Mitochondrial biogenesis and mitochondrial DNA maintenance of mammalian cells under oxidative stress. The International Journal of Biochemistry & Cell Biology, 37, 822834.CrossRefGoogle ScholarPubMed
Lenth, R. (2019). emmeans: Estimated marginal means, aka least-squares means. Retrieved from: https://CRAN.R-project.org/package=emmeansGoogle Scholar
Lindsay, J. R., & Nieman, L. K. (2005). The hypothalamic-pituitary-adrenal axis in pregnancy: Challenges in disease detection and treatment. Endocrine Reviews, 26, 775799.CrossRefGoogle ScholarPubMed
López-Armada, M. J., Riveiro-Naveira, R. R., Vaamonde-García, C., & Valcárcel-Ares, M. N. (2013). Mitochondrial dysfunction and the inflammatory response. Mitochondrion, 13, 106118.CrossRefGoogle ScholarPubMed
Madjid, M., & Fatemi, O. (2013). Components of the complete blood count as risk predictors for coronary heart disease: In-depth review and update. Texas Heart Institute Journal, 40, 1729.Google 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.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.CrossRefGoogle ScholarPubMed
Mills, E. L., Kelly, B., & O'Neill, L. A. J. (2017). Mitochondria are the powerhouses of immunity. Nature Immunology, 18, 488498.CrossRefGoogle ScholarPubMed
Nakahira, K., Haspel, J. A., Rathinam, V. A. K., Lee, S.-J., Dolinay, T., Lam, H. C., … Choi, A. M. K. (2011). Autophagy proteins regulate innate immune responses by inhibiting the release of mitochondrial DNA mediated by the NALP3 inflammasome. Nature Immunology, 12, 222230.CrossRefGoogle ScholarPubMed
Nemeroff, C. B. (2016). Paradise lost: The neurobiological and clinical consequences of child abuse and neglect. Neuron, 89, 892909.CrossRefGoogle ScholarPubMed
Newmeyer, D. D., & Ferguson-Miller, S. (2003). Mitochondria: Releasing power for life and unleashing the machineries of death. Cell, 112, 481490.CrossRefGoogle ScholarPubMed
Nicholas, D., Proctor, E. A., Raval, F. M., Ip, B. C., Habib, C., Ritou, E., … Nikolajczyk, B. S. (2017). Advances in the quantification of mitochondrial function in primary human immune cells through extracellular flux analysis. PLoS One, 12, e0170975.CrossRefGoogle ScholarPubMed
Perkins, S. L. (1999). Normal blood and bone marrow values in humans. Wintrobe's Clinical Hematology, 2, 27382748.Google Scholar
Pesta, D., & Gnaiger, E. (2012) High-resolution respirometry: OXPHOS protocols for human cells and permeabilized fibers from small biopsies of human muscle. In Palmeira, C. M. & Moreno, A. J. (Eds.), Mitochondrial bioenergetics: Methods and protocols (pp. 2558). Totowa, NJ: Humana Press.CrossRefGoogle ScholarPubMed
Picard, M., Juster, R.-P., & McEwen, B. S. (2014). Mitochondrial allostatic load puts the ‘gluc’ back in glucocorticoids. Nature Reviews Endocrinology, 10, 303310.CrossRefGoogle Scholar
Pizzo, P., Drago, I., Filadi, R., & Pozzan, T. (2012). Mitochondrial Ca2+ homeostasis: Mechanism, role, and tissue specificities. Pflügers Archiv – European Journal of Physiology, 464, 317.CrossRefGoogle ScholarPubMed
R Core Team. 2019. R: A language and environment for statistical computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from: https://www.R-project.org.Google Scholar
Schulz, E., Wenzel, P., Münzel, T., & Daiber, A. (2014). Mitochondrial redox signaling: Interaction of mitochondrial reactive oxygen species with other sources of oxidative stress. Antioxidants & Redox Signaling, 20, 308324.CrossRefGoogle ScholarPubMed
Schury, K., & Kolassa, I.-T. (2012). Biological memory of childhood maltreatment: Current knowledge and recommendations for future research: Biological memory of childhood maltreatment. Annals of the New York Academy of Sciences, 1262, 93100.CrossRefGoogle ScholarPubMed
Sorbara, M. T., & Girardin, S. E. (2011). Mitochondrial ROS fuel the inflammasome. Cell Research, 21, 558560.CrossRefGoogle ScholarPubMed
Srivastava, S. (2017). The mitochondrial basis of aging and age-related disorders. Genes, 8, 398.CrossRefGoogle ScholarPubMed
Stewart, F. M., Freeman, D. J., Ramsay, J. E., Greer, I. A., Caslake, M., & Ferrell, W. R. (2007). Longitudinal assessment of maternal endothelial function and markers of inflammation and placental function throughout pregnancy in lean and obese mothers. The Journal of Clinical Endocrinology & Metabolism, 92, 969975.CrossRefGoogle Scholar
Tarullo, A. R., & Gunnar, M. R. (2006). Child maltreatment and the developing HPA axis. Hormones and Behavior, 50, 632639.CrossRefGoogle ScholarPubMed
Trumpff, C., Marsland, A. L., Basualto-Alarcón, C., Martin, J. L., Carroll, J. E., Sturm, G., … Picard, M. (2019). Acute psychological stress increases serum circulating cell-free mitochondrial DNA. Psychoneuroendocrinology, 106, 268276.CrossRefGoogle ScholarPubMed
Tschopp, J. (2011). Mitochondria: Sovereign of inflammation? European Journal of Immunology, 41, 11961202.CrossRefGoogle ScholarPubMed
Tyrka, A. R., Parade, S. H., Price, L. H., Kao, H.-T., Porton, B., Philip, N. S., … Carpenter, L. L. (2016). Alterations of mitochondrial DNA copy number and telomere length with early adversity and psychopathology. Biological Psychiatry, 79, 7886.CrossRefGoogle ScholarPubMed
Valko, M., Leibfritz, D., Moncol, J., Cronin, M. T. D., Mazur, M., & Telser, J. (2007). Free radicals and antioxidants in normal physiological functions and human disease. The International Journal of Biochemistry & Cell Biology, 39, 4484.CrossRefGoogle ScholarPubMed
Vozarova, B., Weyer, C., Lindsay, R. S., Pratley, R. E., Bogardus, C., & Tataranni, P. A. (2002). High white blood cell count is associated with a worsening of insulin sensitivity and predicts the development of type 2 diabetes. Diabetes, 51, 455461.CrossRefGoogle ScholarPubMed
Watanabe, M., Iwatani, Y., Kaneda, T., Hidaka, Y., Mitsuda, N., Morimoto, Y., & Amino, N. (1997). Changes in T, B, and NK lymphocyte subsets during and after normal pregnancy. American Journal of Reproductive Immunology, 37, 368377.CrossRefGoogle Scholar
WHO. (2020) WHO fact sheet: Child maltreatment. Retrieved from https://www.who.int/en/news-room/fact-sheets/detail/child-maltreatment.Google Scholar
Wilson, D. F. (2017). Oxidative phosphorylation: Regulation and role in cellular and tissue metabolism. The Journal of Physiology, 595, 70237038.CrossRefGoogle ScholarPubMed
Wittchen, H.-U., Zaudig, M., & Fydrich, T. (1997). SKID. Strukturiertes Klinisches Interview für DSM-IV. Göttingen: Hogrefe.Google Scholar
World Medical Association. (2013). World medical association declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310, 2191.CrossRefGoogle Scholar
Zhou, R., Yazdi, A. S., Menu, P., & Tschopp, J. (2011). A role for mitochondria in NLRP3 inflammasome activation. Nature, 469, 221225.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Sociodemographic and clinical characteristics of the women (n = 52)

Figure 1

Table 2. Biological raw data of the women at t0 and t2 (n = 52)

Figure 2

Fig. 1. The change in mitochondrial respiration and density from 1 week postpartum (t0) to 1 year postpartum (t2) in n = 52 women with a history of childhood maltreatment (CM+, n = 23) and without (CM−, n = 29). Results of the linear mixed effect models are presented as predicted mean ± model-based 95% confidence intervals on the background of raw data. Mitochondrial respiration (ae) was measured by high-resolution respirometry in pmol O2/s per Million living cells. Flux control ratios (fi) were calculated based on the measured respiratory values. As a marker for mitochondrial density (mitochondrial biogenesis), Citrate-synthase activity in pmol/s per Million shock-frozen cells was spectrophotometrically measured. Significant post-hoc tests are denoted by *p < 0.050, **p < 0.010, ***p < 0.001.

Figure 3

Table 3. Results of linear mixed effect models for mitochondrial respiration in women (n = 52)

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Table 4. Results of linear mixed effect models for mitochondrial flux control ratios in women (n = 52)

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