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Childhood trauma and adulthood inflammation: a meta-analysis of peripheral C-reactive protein, interleukin-6 and tumour necrosis factor-α


Childhood trauma confers higher risk of adulthood physical and mental illness; however, the biological mechanism mediating this association remains largely unknown. Recent research has suggested dysregulation of the immune system as a possible biological mediator. The present paper conducted a meta-analysis to establish whether early-life adversity contributes to potentially pathogenic pro-inflammatory phenotypes in adult individuals. A systematic search of Pubmed, PsycINFO, EMBASE, Scopus and Medline identified 25 articles for the meta-analysis, including 18 studies encompassing a sample of 16 870 individuals for C-reactive protein (CRP), 15 studies including 3751 individuals for interleukin-6 (IL-6) and 10 studies including 881 individuals for tumour necrosis factor-α (TNF-α). Random-effects meta-analysis showed that individuals exposed to childhood trauma had significantly elevated baseline peripheral levels of CRP (Fisher’s z=0.10, 95% confidence interval (CI)=0.05–0.14), IL-6 (z=0.08, 95% CI=0.03–0.14) and TNF-α (z=0.23, 95% CI=0.14–0.32). Subgroup analyses for specific types of trauma (sexual, physical or emotional abuse) revealed that these impact differentially the single inflammatory markers. Moreover, meta-regression revealed greater effect sizes in clinical samples for the association between childhood trauma and CRP but not for IL-6 or TNF-α. Age, body mass index (BMI) and gender had no moderating effects. The analysis demonstrates that childhood trauma contributes to a pro-inflammatory state in adulthood, with specific inflammatory profiles depending on the specific type of trauma.


A large body of studies has so far supported the notion that childhood traumatic experiences, including physical, sexual and emotional abuse, neglect and separation from caregivers, significantly increase the risk of developing mental and physical illnesses later on in life,1, 2 but the biological mechanisms mediating this association remain unclear. More specifically, childhood trauma has been suggested to increase vulnerability to several psychiatric disorders, including depression,3 anxiety,4 psychosis5 and post-traumatic stress disorder,4 as well as several chronic physical health problems, including rheumatoid arthritis, cardiovascular disease, lung disease, metabolic syndrome and cancer.6, 2, 7 Furthermore, childhood trauma is associated with more unfavourable psychiatric outcomes, such as more recurrent and treatment-resistant depressive disorder8 and greater risk of suicidal behaviours.9 Studies in the recent decade have implicated the innate immune system in the relationship between childhood trauma and adulthood disease.

The primary purpose of the innate immune system is to provide an initial line of defence against pathogens as well as to contribute to the adaptive induction of sickness behaviour, a constellation of behavioural changes that facilitate recovery from infection while affecting mood and cognitive function. In humans, these symptoms are exemplified by those experienced by individuals who take pro-inflammatory cytokines, such as interferon-α, for medical indications, and include depression, anxiety, lethargy, fatigue, fragmented sleep, decreased appetite, psychomotor retardation and cognitive impairment.10, 11 Interestingly, elevated levels of inflammatory markers have been increasingly reported in psychiatric disorders10 as well as in individuals with a history of childhood trauma (see below). Of note, inflammatory signalling pathways are also known to impact on a network of biological systems extensively implicated in depression, including neuroendocrine, monoaminergic, oxidative, nitrosative and neurotrophic pathways.12, 10 In particular, the hypothalamic-pituitary-adrenal (HPA) is frequently dysregulated in physical and mental illnesses, and its altered function has been involved in the development of specific behavioural phenotypes associated with depression, such as early awakening and changes in weight and appetite.13 The HPA axis is also a powerful modulator of inflammatory activity and is in turn modulated by inflammatory processes,14, 15, 16 as well as being highly responsive to environmental adversities both in childhood and in adulthood.13 Taken together, these lines of evidence point to the activation of the immune system as one of the biological mechanisms underlying the pathogenesis of mental illness, especially in the context of early-life stress.

Several previous studies have reported an association between childhood trauma and increased levels of pro-inflammatory markers, most notably of the acute phase protein C-reactive protein (CRP), and of the cytokines interleukin-6 (IL-6) and tumour necrosis factor-α (TNF-α).17 However, in light of several non-significant findings as well as a significant amount of heterogeneity in methods, such as in the definition and assessment of childhood trauma, in the sample compositions and in the statistical approaches,17 a meta-analysis of the subject is warranted. Furthermore, whether any immune abnormalities are specific to one or more types of childhood trauma remains unclear.

The present meta-analysis aims to test whether childhood trauma is consistently associated with dysregulation of the inflammatory system in adulthood, thus increasing the vulnerability to health problems in adulthood. Moreover, we assess potential moderating factors in the association between childhood trauma and adulthood inflammation, including compositions of the samples and types of childhood trauma. We focus on studies examining peripheral levels of three key inflammatory markers, CRP, IL-6 and TNF-α, as these are the ones which have received most attention within the childhood trauma literature17 and therefore there is a sufficient number of studies to conduct a meta-analysis; these are also the inflammatory markers most frequently examined in psychiatric research.10

Materials and methods

Search strategy and selection

A systematic review of the literature was performed using Pubmed, PsycINFO, EMBASE, Scopus and Medline for the subject headings ‘Childhood Maltreatment‘, ‘Childhood Trauma‘, ‘Childhood Adversity‘, ‘Early Life Stress‘, ‘Child Abuse‘ and ‘Child Neglect‘ cross-referenced separately with the terms ‘C-reactive Protein‘, ‘CRP‘, ‘Tumour Necrosis Factor‘, ‘TNF-α‘, ‘Cytokine‘, ‘Interleukin‘, ‘IL-6‘, ‘Inflammatory‘ and ‘Inflammation‘. The literature review was initially performed between 1 January and 31 March 2014, and updated on 15 February 2015. Articles were limited to research in human participants, published in English language. The initial search produced 1051 results on Scopus, 774 on Pubmed, 67 on PsycInfo, 233 on Embase and 105 on Medline. Articles were included if they provided original data about the association of any trauma experienced before age 18 (not including adverse socioeconomic status in childhood) with CRP, IL-6 and/or TNF-α levels in adulthood (individuals aged 18 or older). Titles and abstracts were scrutinised for appropriateness to the present objective. Sixty appropriate articles were identified for full-text analysis, of which 25 met criteria for inclusion in the present meta-analysis,18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 including 18 for CRP, 15 for IL-6 and 10 for TNF-α (see Table 1), encompassing a sample of 16 870 participants for CRP, 3751 for IL-6 and 881 for TNF-α (see Figure 1).

Table 1 Systematic overview of articles included in the meta-analysis
Figure 1
figure 1

PRISMA diagram of the literature search.

PowerPoint slide

Data extraction and statistical analysis

Two authors (DB and RA) independently extracted data from eligible studies, and inconsistencies were resolved through discussion and consultation with other authors of the paper until consensus was reached. All studies were scored on the Selection Bias subscale of the Quality Assessment Tool;43 modified versions of this scale have previously been used in similar research.44 When data were not available, authors were contacted. All effect sizes were converted to Fisher’s z before being entered into the analysis, to reflect the continuous nature of both levels of inflammatory markers as well as potential degrees of severity of childhood traumatic experiences, while decreasing the risk of bias associated with Pearson’s r. As papers often normalise distribution of skewed biomarker data by utilising log-transformation, any raw data were transformed to logarithmic equivalents as described by Higgins et al.45

Since we hypothesise that the true effect sizes would differ depending on sample/exposure variations acting as moderating variables, random-effect models were chosen for the meta-analyses of main effects as well as meta-regressions and subgroup analyses. Samples were characterised for meta-regressions by the proportion of clinical participants (or those assessed for meeting criteria for clinical disorder), grouped into ‘any clinical disorders‘ (including physical and mental illnesses), ‘any psychiatric disorders‘ and ‘depressive disorder‘. Mean age, body mass index (BMI) and proportion of female participants were recorded for meta-regression. Statistical procedures were carried out using Stata,46 using the metan package for meta-analyses, the metareg package for meta-regressions and the metafunnel and metabias packages for assessment of publication bias. P-values below 0.05 were accepted as being statistically significant, and values below 0.1 were reported as trends.


Main association of childhood trauma with inflammatory markers

Meta-analysis for the main effects showed consistently elevated levels of inflammation associated with childhood trauma, with small effect sizes, for CRP (Fisher’s z=0.10, df=17, P<0.001, 95% confidence interval (CI)=0.05–0.14, prediction interval (PI)=−0.04–0.23), IL-6 (z=0.08, df=14, P=0.003, 95% CI=0.03–0.14, PI=−0.06–0.23) and TNF-α (z=0.23, df=9, P<0.001, 95% CI=0.14–0.32, PI=0.01–0.46; see Figure 2). When grouped into one inflammatory factor, effect sizes were small yet significant (z=0.11, df=42, P<0.001, 95% CI=0.08–0.14, PI=−0.03–0.25). High heterogeneity was observed for CRP (P<0.001, I2=72.7%, τ2=0.004), while low to moderate heterogeneity scores were observed for IL-6 (P=0.03, I2=44.5%, τ2=0.004) and TNF-α (P=0.11, I2=36.8%, τ2=0.007), and moderate to high heterogeneity was observed for the overall inflammatory factor (P<0.001, I2=65.6%, τ2=0.005).

Figure 2
figure 2

Forest plot presenting the main association of childhood trauma with inflammatory markers.

PowerPoint slide

Type of trauma

Sub-group analyses for childhood sexual abuse (Figure 3a) showed this trauma type to be significantly associated with a small effect size for TNF-α (z=0.24, df=2, P=0.02, 95% CI=0.05–0.44) and a trend toward a small effect size for IL-6 (z=0.08, df=4, P=0.08, 95%CI=−0.01–0.16), while no such results were found for CRP (z=−0.001, df=4, P=0.98, 95% CI=−0.05–0.05). Heterogeneity scores were not significant for estimates of TNF-α (P=0.25, I2=28.5%, τ2=0.009), IL-6 (P=0.21, I2=32.4%, τ2=0.003), or CRP (P=0.62, I2=0.0%, τ2=0.0).

Figure 3
figure 3

Collapsed forest plots presenting the association of sexual (a) and physical (b) abuse with inflammatory markers.

PowerPoint slide

Sub-group analyses for childhood physical abuse (Figure 3b) similarly showed significant associations with small effect sizes for TNF-α (z=0.25, df=2, P=0.01, 95% CI=0.05–0.45) and IL-6 (z=0.08, df=5, P=0.02, 95%CI=0.02–0.15), but not for CRP (z=0.007, df=5, P=0.91, 95% CI=−0.12–0.13). Heterogeneity scores were again not significant for estimates of TNF-α (P=0.25, I2=28.5%, τ2=0.009), IL-6 (P=0.35, I2=9.8%, τ2=0.007), but significant for CRP (P<0.001, I2=79.3%, τ2=0.016).

Since only a small number of studies investigated emotional abuse, meta-analysis for this trauma was only possible for CRP and IL-6, but not for TNF-α. Neither CRP (z=0.03, df=3, P=0.31, 95% CI=−0.03–0.10) nor IL-6 (z=−0.008, df=2, P=0.87, 95% CI=−0.10–0.08) was significantly associated with childhood emotional abuse. Heterogeneity did not reach significance for CRP (P=0.81, I2=0.0%, τ2=0.0) or IL-6 (P=0.65, I2=0.0%, τ2=0.0).

Sub-group analyses for parental absence during childhood was only possible for CRP, revealing a significant association with a small effect size (z=0.11, df=2, P=0.001, 95% CI=0.02–0.19) and significant heterogeneity (P=0.006, I2=80.4%, τ2=0.004).

Moderating effects of sample populations

To investigate whether clinical samples accounted for heterogeneity in findings, meta-regressions were carried out for the proportion of participants with ‘any clinical disorders' (including physical and mental illnesses), ‘psychiatric disorders' and ‘depressive disorder'. Again, random-effect models were chosen as the most conservative model. While meta-regressions showed that samples including any clinical disorders showed augmented trend-level effect sizes for CRP (t=2.09, P=0.054, I2res=70.23%, τ2=0.005), explaining 9.81% of the between-sample variance, this was not significant for TNF-α (t=−0.07, P=0.95, I2res=43.8%, τ2=0.01) and IL-6 (t=0.48, P=0.64, I2res=42.89%, τ2=0.006).

The proportion of patients with any psychiatric disorders did not moderate the associations between childhood trauma and CRP (t=0.02, P=0.98, I2res=74.0%, τ2=0.007), IL-6 (t=0.23, P=0.82, I2res=48.5%, τ2=0.006) or TNF-α (t=0.54, P=0.61, I2res=42.7%, τ2=0.01). Similarly, the proportion of depressed patients did not moderate the association between childhood trauma with and CRP (t=1.07, P=0.30, I2res=73.5%, τ2=0.006), IL-6 (t=0.44, P=0.66, I2res=47.6%, τ2=0.006) or TNF-α (t=0.22, P=0.83, I2res=43.3%, τ2=0.01).

No significant results were found for moderating effects for age, BMI or gender, and there was no evidence of publication bias, although significant and trend-level moderating effects of selection bias were found for IL-6 and CRP, respectively. For additional information on sensitivity analyses, please see the Supplementary Material.


Main findings and proposed mechanism

The present meta-analysis finds a significant association between childhood trauma and the inflammatory markers, with effect sizes being greatest for TNF-α (z=0.20, 95% CI=0.10–0.29), followed by IL-6 (z=0.09, 95% CI=0.04–0.15) and then CRP (z=0.08, 95% CI=0.04–0.11). As such, this provides strong evidence that childhood traumatic events significantly impact on the inflammatory immune system, with trajectories reaching into adulthood, thus offering a potential molecular pathway by which early trauma confers vulnerability to developing psychiatric and physical disorders later in life.

The molecular mechanisms that account for these long-term changes in immune function need to be further explored. Putatively, changes in epigenetic regulation of gene expression may be responsible for this increased immune activation; this appears plausible in view of the considerable evidence that childhood trauma induces modifications of HPA- and neuroplasticity-related methylation patterns.47, 48, 49 In particular, early trauma leads to greater methylation of the glucocorticoid receptor (GR) and greater demethylation of FKBP5.48, 50, 51, 52 The increased methylation of the GR correlates with reduced GR function as shown by impaired negative feedback of the HPA axis,52 while FKBP5 is a heat-shock protein that binds and thereby inhibits the cytosolic GR. As the GR itself is a crucial regulator of inflammatory activity, lower expression and function of the GR due to epigenetic suppression may allow for this exacerbated inflammatory activity. Notably, increased inflammation itself can then maintain and exacerbate the impaired GR function,14, 15, 16 thus leading to sustained GR resistance into adulthood. Notably, based on differences in effects sizes found in the present analysis, the association between childhood trauma and adulthood inflammation is stronger for inflammatory pathways related to TNF-α; and, indeed, the GR is crucial in regulating TNF-α signalling and TNF-induced cytokine production, as well as conveying protection against TNF-related tissue damage.53

The present paper also found evidence that individual types of trauma exposure impact differentially on the inflammatory markers: most interestingly, physical and sexual abuse is associated with significant increased TNF-α and IL-6, but not CRP. Conversely, CRP seemed to be primarily related to parental absence during early development. Interestingly, rodent models have demonstrated that maternal separation is associated with elevated TNF-α levels in the periphery and cerebrospinal fluid54 as well as in prefrontal and hippocampal brain regions.55 These results stress the need for assessing the potential different effects of each type of trauma in future research. Moreover, this finding raises the question as to why different types of childhood trauma are associated with different aspects of inflammatory dysregulation.

While there is currently no clear answer to this question, several variables associated with individual trauma types, including chronicity and context of the stressor, age of exposure, duration of exposure or relationship to the perpetrator, may offer some insight. For example, it has been shown in adolescent women that episodic stress in the context of high chronic stress leads to reduced GR expression, while GR expression is increased in the absence of chronic stress.56 Moreover, there is evidence that different types of trauma impact differentially on mental health: specific subtypes of anxiety disorders appear to develop depending on whether one is exposed to physical or sexual childhood abuse,4 and childhood sexual abuse is particularly associated with the development of auditory verbal hallucinations in psychosis.5 The effect of early trauma on behaviour in adulthood may be further modulated by other developmental insults: Giovanoli et al.57 showed that prenatal immune viral challenge in mice synergistically interacts with peripubertal stress exposure thus increasing the vulnerability to develop neuropathological behaviours later on in life. Interestingly, these mice show transient neuroimmunological changes, evident during adolescence but not in adulthood, suggesting the presence of sensitive periods of peripubertal brain maturation which might differentially influence behavioural outcomes. Further supporting the role of immune-related molecular pathways in the long-term consequences of early-life trauma, previous preclinical studies have shown that early-life stress tends to have a programming effect on neuroimmune functions, leading to a pro-inflammatory state in adulthood, which in turn can trigger an exaggerated cytokine secretion and increase in microglia activity following an immune challenge. In particular, maternal deprivation early in life has been shown to enhance IL-1β responsiveness in adulthood, due to elevated IL-1 receptor levels at the post-synapse of adult hippocampal neurons.58 Moreover, prenatal stress in mice increases expression of IL-1β and TNF-α in the hippocampus during adulthood, and this pro-inflammatory state results in an enhanced activation of microglia and astrocytes in response to an immune challenge.59

In the case of CRP, the impact of childhood trauma on adulthood inflammation may be characterised by synergistic effects with the presence of ‘state‘ (current) ill health, as the effect sizes were significantly greater in clinical samples, including patients with cancer. However, this effect was not observed when focussing exclusively on psychiatric disorders, suggesting that in these individuals the ‘trait‘ effects (the history of childhood trauma) may be the main driver of the immune activation. It should be noted that, although the increase in inflammatory activity is not comparable to that of acute systemic inflammatory disorders, it still has clinical relevance. We know that 95% of CRP values in healthy individuals range between 0.07 and 5.25 mg l1,60 which translates into a mean of 2.66 mg l−1 and a standard deviation of 4.18 mg l−1; this is in line with epidemiological findings, showing mean CRP values in the general population ranging between 1.4 and 2.9 mg l−1.61 Considering the standardised mean difference of 0.2 (equivalent to a Fisher's z of 0.1), individuals with a history of childhood trauma would show an average CRP increase of 0.84 mg l−1, or a mean CRP value of 3.5 mg l−1, which is above the threshold of 3 mg l−1 acknowledged as risk factor for future heart attack, stroke and development of diabetes.62 Thus, inflammatory activation as a consequence of childhood trauma is best conceptualised as a subtle effect that is likely to have a significant impact on physical and mental health.


The present meta-analysis found significant yet small effect sizes in the context of particularly high levels of heterogeneity, which remained after subsequent meta-regressions and subgroup analyses. However, this may reflect the fact that the papers reviewed here show great variations in both theoretical and methodological approaches, and that there is considerable variation in the assessment of inflammatory markers (see Table 1). Such variations in measurement instruments may be associated with differences in sensitivity, which, especially in the context of the apparently small changes associated with childhood trauma, may create type II errors. Sensitivity analysis looking at the different instruments to assess trauma shows larger effect sizes for validated instruments when compared with non-standardised assessments (see Supplementary material). Notably, sensitivity analysis also shows that prospective studies show greater effect sizes and lower heterogeneity than studies using retrospective trauma assessment (see Supplementary material). In light of these various potential sources of heterogeneity, the choice of random-effect models, albeit more conservative, was indeed the most appropriate for the present purpose. While the lack of evidence for publication bias suggests that the present findings are not an artefact of a distorted literature, the potential impact of selection biases cannot be ruled out given its effect in the results for IL-6 and CRP. Finally, not all the studies included in the meta-analysis explicitly reported acute infection as exclusion criteria for their analyses, and this could have partially affected the findings of those individual studies.


The present meta-analysis demonstrates a significant association between childhood trauma and increased immune activation in adulthood, and highlights possible differential effects of different types of trauma as well as heterogeneity in the findings. Future research should further investigate the molecular mechanisms behind this association, and particularly whether inflammatory and neuroendocrine changes actually occur in parallel in the same individuals, and how these changes are embedded from a molecular point of view. Contextualising these data within a wider array of biological systems may be crucial in identifying why some individuals go on to develop physical or psychiatric disorders, whereas other remain resilient in the face of exposure to trauma.

These findings are also clinically relevant. Besides the potential impact of the increased inflammation on metabolic outcomes and physical illness, as discussed above, the assessment of inflammatory markers may also aid the development of prevention and treatment strategies. For example, a recent meta-analysis has demonstrated that elevations in CRP and IL-6 appear to precede the development of depressive disorders,63 and that patients with increased inflammation are less likely to respond to conventional antidepressants,64 and more likely to respond to adjunctive anti-inflammatory treatment.65 Thus, assessment of childhood trauma in conjunction with that of inflammatory markers may prove crucial in developing more effective prevention strategies and treatments, affecting long-term mental health outcomes.


  1. Edwards VJ, Holden GW, Felitti VJ, Anda RF . Relationship between multiple forms of childhood maltreatment and adult mental health in community respondents: Results from the adverse childhood experiences study. Am J Psychiatry 2003; 160: 1453–1460.

    Article  PubMed  Google Scholar 

  2. Goodwin RD, Stein MB . Association between childhood trauma and physical disorders among adults in the United States. Psychol Med 2004; 34: 509–520.

    Article  PubMed  Google Scholar 

  3. Sachs-Ericsson N, Kendall-Tackett K, Hernandez A . Childhood abuse, chronic pain, and depression in the National Comorbidity Survey. Child Abuse Negl 2007; 31: 531–547.

    Article  PubMed  Google Scholar 

  4. Cougle JR, Timpano KR, Sachs-Ericsson N, Keough ME, Riccardi CJ . Examining the unique relationships between anxiety disorders and childhood physical and sexual abuse in the National Comorbidity Survey-Replication. Psychiatry Res 2010; 177: 150–155.

    Article  PubMed  Google Scholar 

  5. Varese F, Smeets F, Drukker M, Lieverse R, Lataster T, Viechtbauer W et al. Childhood adversities increase the risk of psychosis: A meta-analysis of patient-control, prospective-and cross-sectional cohort studies. Schizophr Bull 2012; 38: 661–671.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Monteiro R, Azevedo I . Chronic inflammation in obesity and the metabolic syndrome. Mediators Inflamm 2010; 2010: 289645.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Brown DW, Anda RF, Felitti VJ, Edwards VJ, Malarcher AM, Croft JB et al. Adverse childhood experiences are associated with the risk of lung cancer: a prospective cohort study. BMC Public Health 2010; 10: 20.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Nanni V, Uher R, Danese A . Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis. Am J Psychiatry 2012; 169: 141–151.

    Article  PubMed  Google Scholar 

  9. Bebbington PE, Cooper C, Minot S, Brugha TS, Jenkins R, Meltzer H et al. Suicide attempts, gender, and sexual abuse: Data from the 2000 British psychiatric morbidity survey. Am J Psychiatry 2009; 166: 1135–1140.

    Article  PubMed  Google Scholar 

  10. Baumeister D, Russell A, Pariante CM, Mondelli V . Inflammatory biomarker profiles of mental disorders and their relation to clinical, social and lifestyle factors. Soc Psychiatry Psychiatr Epidemiol 2014; 49: 841–849.

    Article  PubMed  Google Scholar 

  11. Dantzer R, O’Connor JC, Freund GG, Johnson RW, Kelley KW . From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci 2008; 9: 46–56.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Zunszain PA, Anacker C, Cattaneo A, Choudhury S, Musaelyan K, Myint AM et al. Interleukin-1β: a new regulator of the kynurenine pathway affecting human hippocampal neurogenesis. Neuropsychopharmacology 2012; 37: 939–949.

    CAS  Article  PubMed  Google Scholar 

  13. Baumeister D, Lightman SL, Pariante CM . The interface of stress and the HPA axis in behavioural phenotypes of mental illness. Curr Top Behav Neurosci 2014; 18: 13–24.

    Article  PubMed  Google Scholar 

  14. Zunszain PA, Anacker C, Cattaneo A, Carvalho LA, Pariante CM . Glucocorticoids, cytokines and brain abnormalities in depression. Prog Neuro-Psychopharmacology Biol Psychiatry 2011; 35: 722–729.

    CAS  Article  Google Scholar 

  15. Miller AH, Maletic V, Raison CL . Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol. Psychiatry 2009; 65: 732–741.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. Pace TWW, Hu F, Miller AH . Cytokine-effects on glucocorticoid receptor function: relevance to glucocorticoid resistance and the pathophysiology and treatment of major depression. Brain Behav Immun 2007; 21: 9–19.

    CAS  Article  PubMed  Google Scholar 

  17. Coelho R, Viola TW, Walss-Bass C, Brietzke E, Grassi-Oliveira R . Childhood maltreatment and inflammatory markers: a systematic review. Acta Psychiatr Scand 2014; 129: 180–192.

    CAS  Article  PubMed  Google Scholar 

  18. Archer JA, Hutchison IL, Dorudi S, Stansfeld SA, Korszun A . Interrelationship of depression, stress and inflammation in cancer patients: a preliminary study. J Affect Disord 2012; 143: 39–46.

    CAS  Article  PubMed  Google Scholar 

  19. Bertone-Johnson ER, Whitcomb BW, Missmer SA, Karlson EW, Rich-Edwards JW . Inflammation and early-life abuse in women. Am J Prev Med 2012; 43: 611–620.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Carpenter LL, Gawuga CE, Tyrka AR, Price LH . C-reactive protein, early life stress, and wellbeing in healthy adults. Acta Psychiatr Scand 2012; 126: 402–410.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. Carpenter LL, Gawuga CE, Tyrka AR, Lee JK, Anderson GM, Price LH . Association between plasma IL-6 response to acute stress and early-life adversity in healthy adults. Neuropsychopharmacology 2010; 35: 2617–2623.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. Dennison U, McKernan D, Cryan J, Dinan T . Schizophrenia patients with a history of childhood trauma have a pro-inflammatory phenotype. Psychol Med 2012; 42: 1865–1871.

    CAS  Article  PubMed  Google Scholar 

  23. Di Nicola M, Cattaneo A, Hepgul N, Di Forti M, Aitchison KJ, Janiri L et al. Serum and gene expression profile of cytokines in first-episode psychosis. Brain Behav Immun 2013; 31: 90–95.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. Frodl T, Carballedo A, Hughes MM, Saleh K, Fagan A, Skokauskas N et al. Reduced expression of glucocorticoid-inducible genes GILZ and SGK-1: high IL-6 levels are associated with reduced hippocampal volumes in major depressive disorder. Transl Psychiatry 2012; 2: e88.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  25. Gouin J-P, Glaser R, Malarkey WB, Beversdorf D, Kiecolt-Glaser JK . Childhood abuse and inflammatory responses to daily stressors. Ann Behav Med 2012; 44: 287–292.

    Article  PubMed  Google Scholar 

  26. Hartwell KJ, Moran-Santa Maria MM, Twal WO, Shaftman S, DeSantis SM, McRae-Clark AL et al. Association of elevated cytokines with childhood adversity in a sample of healthy adults. J Psychiatr Res 2013; 47: 604–610.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Hepgul N, Pariante CM, Dipasquale S, DiForti M, Taylor H, Marques TR et al. Childhood maltreatment is associated with increased body mass index and increased C-reactive protein levels in first-episode psychosis patients. Psychol Med 2012; 42: 1893–1901.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  28. Kiecolt-Glaser JK, Gouin J-P, Weng N-P, Malarkey WB, Beversdorf DQ, Glaser R . Childhood adversity heightens the impact of later-life caregiving stress on telomere length and inflammation. Psychosom Med 2011; 73: 16–22.

    Article  PubMed  Google Scholar 

  29. Lacey RE, Kumari M, McMunn A . Parental separation in childhood and adult inflammation: the importance of material and psychosocial pathways. Psychoneuroendocrinology 2013; 38: 2476–2484.

    CAS  Article  PubMed  Google Scholar 

  30. Lu S, Peng H, Wang L, Vasish S, Zhang Y, Gao W et al. Elevated specific peripheral cytokines found in major depressive disorder patients with childhood trauma exposure: a cytokine antibody array analysis. Compr Psychiatry 2013; 54: 953–961.

    Article  PubMed  Google Scholar 

  31. Matthews KA, Chang Y-F, Thurston RC, Bromberger JT . Child abuse is related to inflammation in mid-life women: role of obesity. Brain Behav Immun 2014; 36: 29–34.

    Article  PubMed  Google Scholar 

  32. McDade TW, Hoke M, Borja JB, Adair LS, Kuzawa C . Do environments in infancy moderate the association between stress and inflammation in adulthood? Initial evidence from a birth cohort in the Philippines. Brain Behav Immun 2013; 31: 23–30.

    Article  PubMed  Google Scholar 

  33. Runsten S, Korkeila K, Koskenvuo M, Rautava P, Vainio O, Korkeila J . Can social support alleviate inflammation associated with childhood adversities? Nord J Psychiatry 2014; 68: 137–144.

    Article  PubMed  Google Scholar 

  34. Slopen N, Lewis TT, Gruenewald TL, Mujahid MS, Ryff CD, Albert Ma et al. Early life adversity and inflammation in African Americans and whites in the midlife in the United States survey. Psychosom Med 2010; 72: 694–701.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Smith AK, Conneely KN, Kilaru V, Mercer KB, Weiss TE, Bradley B et al. Differential immune system DNA methylation and cytokine regulation in post-traumatic stress disorder. Am J Med Genet B Neuropsychiatr Genet 2011; 156B: 700–708.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Tietjen GE, Khubchandani J, Herial NA, Shah K . Adverse childhood experiences are associated with migraine and vascular biomarkers. Headache 2012; 52: 920–929.

    Article  PubMed  Google Scholar 

  37. Witek Janusek L, Tell D, Albuquerque K, Mathews HL . Childhood adversity increases vulnerability for behavioral symptoms and immune dysregulation in women with breast cancer. Brain Behav Immun 2013; 30: S149–S162.

    Article  PubMed  Google Scholar 

  38. Zeugmann S, Buehrsch N, Bajbouj M, Heuser I, Anghelescu I, Quante A . Childhood maltreatment and adult proinflammatory status in patients with major depression. Psychiatr Danub 2013; 25: 227–235.

    PubMed  Google Scholar 

  39. Danese A, Moffitt TE, Harrington H, Milne BJ, Polanczyk G, Pariante CM et al. Adverse childhood experiences and adult risk factors for age-related disease. Arch Pediatr 2009; 163: 1135–1143.

    Google Scholar 

  40. Carroll JE, Gruenewald TL, Taylor SE, Janicki-Deverts D, Matthews Ka, Seeman TE . Childhood abuse, parental warmth, and adult multisystem biological risk in the Coronary Artery Risk Development in Young Adults study. Proc Natl Acad Sci USA 2013; 110: 17149–17153.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  41. Rooks C, Veledar E, Goldberg J, Bremner JD, Vaccarino V . Early trauma and inflammation: role of familial factors in a study of twins. Psychosom Med 2012; 74: 146–152.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Taylor SE, Lehman BJ, Kiefe CI, Seeman TE . Relationship of early life stress and psychological functioning to adult C-reactive protein in the coronary artery risk development in young adults study. Biol Psychiatry 2006; 60: 819–824.

    CAS  Article  PubMed  Google Scholar 

  43. Wong WCW, Cheung CSK, Hart GJ . Development of a quality assessment tool for systematic reviews of observational studies (QATSO) of HIV prevalence in men having sex with men and associated risk behaviours. Emerg Themes Epidemiol 2008; 5: 23.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Tursich M, Neufeld RWJ, Frewen PA, Harricharan S, Kibler JL, Rhind SG et al. Association of trauma exposure with proinflammatory activity: a transdiagnostic meta-analysis. Transl Psychiatry 2014; 4: e413.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  45. Higgins JPT, White IR, Anzures-Cabrera J . Meta-analysis of skewed data: combining results reported on log-transformed or raw scales. Stat Med 2008; 27: 6072–6092.

    Article  PubMed  PubMed Central  Google Scholar 

  46. StataCorp. Stata Statistical Software: Release 11. Econ J 2009; 102. 10.2307/2234838.

  47. Mehta D, Klengel T, Conneely KN, Smith AK, Altmann A, Pace TW et al. Childhood maltreatment is associated with distinct genomic and epigenetic profiles in posttraumatic stress disorder. Proc Natl Acad Sci USA 2013; 110: 8302–8307.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  48. McGowan PO, Sasaki A, D’Alessio AC, Dymov S, Labonté B, Szyf M et al. Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse. Nat Neurosci 2009; 12: 342–348.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  49. Labonté B, Suderman M, Maussion G, Navaro L, Yerko V, Mahar I et al. Genome-wide epigenetic regulation by early-life trauma. Arch Gen Psychiatry 2012; 69: 722–731.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Klengel T, Mehta D, Anacker C, Rex-Haffner M, Pruessner JC, Pariante CM et al. Allele-specific FKBP5 DNA demethylation mediates gene-childhood trauma interactions. Nat Neurosci 2013; 16: 33–41.

    CAS  Article  PubMed  Google Scholar 

  51. Perroud N, Paoloni-Giacobino A, Prada P, Olié E, Salzmann A, Nicastro R et al. Increased methylation of glucocorticoid receptor gene (NR3C1) in adults with a history of childhood maltreatment: a link with the severity and type of trauma. Transl Psychiatry 2011; 1: e59.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  52. Tyrka AR, Price LH, Marsit C, Walters OC, Carpenter LL . Childhood adversity and epigenetic modulation of the leukocyte glucocorticoid receptor: Preliminary findings in healthy adults. PLoS ONE 2012; 7: e30148.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  53. Van Bogaert T, De Bosscher K, Libert C . Crosstalk between TNF and glucocorticoid receptor signaling pathways. Cytokine Growth Factor Rev 2010; 21: 275–286.

    CAS  Article  PubMed  Google Scholar 

  54. Réus GZ, dos Santos MAB, Abelaira HM, Ribeiro KF, Petronilho F, Vuolo F et al. Imipramine reverses alterations in cytokines and BDNF levels induced by maternal deprivation in adult rats. Behav Brain Res 2013; 242: 40–46.

    Article  PubMed  Google Scholar 

  55. Pinheiro RMC, de Lima MNM, Portal BCD, Busato SB, Falavigna L, Ferreira RDP et al. Long-lasting recognition memory impairment and alterations in brain levels of cytokines and BDNF induced by maternal deprivation: effects of valproic acid and topiramate. J Neural Transm 2014; 122: 709–719.

    Article  PubMed  Google Scholar 

  56. Marin TJ, Martin TM, Blackwell E, Stetler C, Miller GE . Differentiating the impact of episodic and chronic stressors on hypothalamic-pituitary-adrenocortical axis regulation in young women. Health Psychol 2007; 26: 447–455.

    Article  PubMed  Google Scholar 

  57. Giovanoli S, Engler H, Engler A, Richetto J, Voget M, Willi R et al. Stress in puberty unmasks latent neuropathological consequences of prenatal immune activation in mice. Science 2013; 339: 1095–1099.

    CAS  Article  PubMed  Google Scholar 

  58. Viviani B, Boraso M, Valero M, Gardoni F, Marco EM, Llorente R et al. Early maternal deprivation immunologically primes hippocampal synapses by redistributing interleukin-1 receptor type I in a sex dependent manner. Brain Behav Immun 2013; 35: 135–143.

    Article  PubMed  Google Scholar 

  59. Diz-Chaves Y, Astiz M, Bellini MJ, Garcia-Segura LM . Prenatal stress increases the expression of proinflammatory cytokines and exacerbates the inflammatory response to LPS in the hippocampal formation of adult male mice. Brain Behav Immun 2013; 28: 196–206.

    CAS  Article  PubMed  Google Scholar 

  60. Riese H, Vrijkotte T, Meijer P, Kluft C, de Geus E . Diagnostic strategies for C-reactive protein. BMC Cardiovasc Disord 2002; 2: 9.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Rutter MK, Sattar N, Tajar A, O’Neill TW, Lee DM, Bartfai G et al. Epidemiological evidence against a role for C-reactive protein causing leptin resistance. Eur J Endocrinol 2013; 168: 101–106.

    CAS  Article  PubMed  Google Scholar 

  62. Ridker PM . Cardiology Patient Page. C-reactive protein: a simple test to help predict risk of heart attack and stroke. Circulation 2003; 108: e81–e85.

    CAS  PubMed  Google Scholar 

  63. Valkanova V, Ebmeier KP . Vascular risk factors and depression in later life: a systematic review and meta-analysis. Biol. Psychiatry 2013; 73: 406–413.

    Article  PubMed  Google Scholar 

  64. Cattaneo A, Gennarelli M, Uher R, Breen G, Farmer A, Aitchison KJ et al. Candidate genes expression profile associated with antidepressants response in the GENDEP study: differentiating between baseline ‘predictors‘ and longitudinal ‘targets‘. Neuropsychopharmacology 2013; 38: 377–385.

    CAS  Article  PubMed  Google Scholar 

  65. Raison C, Rutherford R . A randomized controlled trial of the tumor necrosis factor antagonist infliximab for treatment-resistant depression: the role of baseline inflammatory biomarkers. JAMA Psychiatry 2013; 70: 31–41.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

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This work was supported by the grant ‘Persistent Fatigue Induced by Interferon-alpha: A New Immunological Model for Chronic Fatigue Syndrome' from the Medical Research Council (UK) MR/J002739/1. Additional support has been offered by the National Institute for Health Research Mental Health Biomedical Research Centre in Mental Health at South London and Maudsley NHS Foundation Trust and King’s College London Dr Artemis Koukounari of the KCL biostatistics department provided independent advice on statistical procedures.

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Correspondence to V Mondelli.

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Dr Mondelli and Professor Pariante have received research funding from Johnson & Johnson, a pharmaceutical company interested in the development of anti-inflammatory strategies for depression, but the research described in this paper is unrelated to this funding.

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Baumeister, D., Akhtar, R., Ciufolini, S. et al. Childhood trauma and adulthood inflammation: a meta-analysis of peripheral C-reactive protein, interleukin-6 and tumour necrosis factor-α. Mol Psychiatry 21, 642–649 (2016).

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