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Nutrition and the psychoneuroimmunology of postpartum depression

Published online by Cambridge University Press:  02 July 2012

E. R. Ellsworth-Bowers
Affiliation:
University of Colorado Anschutz Medical Campus, 13120 E 19th Avenue, C288-18, Aurora, CO, 80045, USA
E. J. Corwin*
Affiliation:
Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, 30322, USA
*
*Corresponding author: Dr Elizabeth J. Corwin, fax +1 404 712 9093, email [email protected]
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Abstract

Postpartum depression (PPD) is a relatively common and often severe mood disorder that develops in women after childbirth. The aetiology of PPD is unclear, although there is emerging evidence to suggest a psychoneuroimmune connection. Additionally, deficiencies in n-3 PUFA, B vitamins, vitamin D and trace minerals have been implicated. This paper reviews evidence for a link between micronutrient status and PPD, analysing the potential contribution of each micronutrient to psychoneuroimmunological mechanisms of PPD. Articles related to PPD and women's levels of n-3 PUFA, B vitamins, vitamin D and the trace minerals Zn and Se were reviewed. Findings suggest that while n-3 PUFA levels have been shown to vary inversely with PPD and link with psychoneuroimmunology, there is mixed evidence regarding the ability of n-3 PUFA to prevent or treat PPD. B vitamin status is not clearly linked to PPD, even though it seems to vary inversely with depression in non-perinatal populations and may have an impact on immunity. Vitamin D and the trace minerals Zn and Se are linked to PPD and psychoneuroimmunology by intriguing, but small, studies. Overall, evidence suggests that certain micronutrient deficiencies contribute to the development of PPD, possibly through psychoneuroimmunological mechanisms. Developing a better understanding of these mechanisms is important for guiding future research, clinical practice and health education regarding PPD.

Type
Review Article
Copyright
Copyright © The Authors 2012

Introduction

Overview of postpartum depression and psychoneuroimmunology

Postpartum depression (PPD) is characterised by sadness, fatigue, irritability and disinterest in life events(Reference Yonkers, Vigod and Ross1). Women with PPD often experience feelings of guilt, worthlessness and anxiety related to birth and parenting; women may also think of suicide or harm toward the baby. A serious mood disorder comparable with major depressive disorder (MDD), PPD can develop as an extension of postpartum blues or arise independently in a mother whose mood has been stable until that point. The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) Text Revision defines PPD as beginning by 4 weeks after birth. However, in clinical practice many women are not diagnosed until 6 weeks to 3 months postpartum(Reference Yonkers, Vigod and Ross1), and research studies on PPD often extend the time frame for diagnosis to 6 months or 1 year postpartum (see Tables 1 and 2).

Table 1 Observational studies of the relationship between n-3 PUFA and postpartum depression

SCID, Structured Clinical Interview for DSM-IV Axis I Disorders; EPDS, Edinburgh Postpartum Depression Scale; BDI-II, Beck Depression Inventory-II. * Evidence of a relationship.

Table 2 Treatment studies of the relationship between n-3 PUFA and postpartum depression

N/A, not applicable; EPDS, Edinburgh Postpartum Depression Scale; HAM-D, Hamilton Rating Scale for Depression; BDI, Beck Depression Inventory; CGI, Clinical Global Impressions Scale; AA, arachidonic acid. * Evidence of a relationship. † This study uses the abbreviation of ‘HRSD’ for the ‘Hamilton Rating Scale for Depression’.

Risk factors for PPD include previous mental illness, recent psychological stress, inadequate social or economic support, and a difficult birth experience(Reference Robertson, Grace and Wallington2). Women who are experiencing significant physiological stress may also be at risk for PPD(Reference Corwin, Johnston and Pugh3Reference Bloch, Rotenberg and Koren5). However, not all women with these risk factors develop PPD. Thus, a key question is what causes certain women to shift from risk to depressive state? Over time, researchers have investigated that question from psychological, social and physiological perspectives.

The perspective framing the present review is physiological, specifically the field of psychoneuroimmunology (PNI). PNI is the study of how neuroendocrine and/or immune system dysregulation may contribute to the development of depression. Dysregulation of both these systems is acknowledged to have a role in depression for non-pregnant, non-postpartum populations(Reference Miller, Maletic and Raison6, Reference Dantzer, O'Connor and Freund7) and, recently, a psychoneuroimmunological contribution to PPD has been hypothesised as well(Reference Corwin, Johnston and Pugh3, Reference Groer and Morgan4, Reference Maes, Ombelet and De Jongh8, Reference Maes, Lin and Ombelet9). This hypothesis is based on the inherently inflammatory nature of labour, delivery and postpartum healing(Reference Browne, Jacobs and Lahiff10Reference Connolly and Thorp13), which in some cases may be exaggerated and may increase the risk of depression.

Nutrition and the psychoneuroimmunology of postpartum depression

An unexplored component of psychoneuroimmunological research on PPD is how nutritional status contributes to the proper function of the innate immune system and hypothalamic–pituitary–adrenal (HPA) axis. In 2005, Bodnar & Wisner(Reference Bodnar and Wisner14) laid the foundation for research in this area by describing a set of micronutrients (n-3 PUFA, B vitamins, trace minerals, antioxidants) that become depleted during pregnancy and perhaps play a role in depression for non-pregnant, non-postpartum populations. Since then, vitamin D has also been implicated as a possible contributor to PPD(Reference Murphy, Mueller and Hulsey15). The question guiding the present investigation is whether PNI might be a mechanism by which these micronutrients are associated with PPD.

Critical review: micronutrient links to the psychoneuroimmunology of postpartum depression

This broad review aims to present the current status of research related to nutrition and the PNI of PPD, rather than a detailed summary of a limited number of articles. To this end, we conducted an extensive literature search in PubMed for human studies in English, using combinations of the terms (‘inflammation’, ‘depression’, ‘post-partum’) with (‘PUFA’, ‘poly unsaturated fatty acids’, ‘omega-3’, ‘folate’, ‘B12’, ‘vitamin D’, ‘antioxidant’, ‘anti-inflammatory’, ‘mineral’, ‘microelement’, ‘nutrition’). We also conducted a manual search for papers referenced in articles retrieved through PubMed.

Of the micronutrients that researchers have identified as associated with PPD, the fatty acid literature is the most developed and has the strongest emphasis on postpartum populations. Studies of B vitamins and depression are fewer, with little focus on women's mental health. Studies of the relationship between vitamin D or trace minerals and depression also have a limited focus on postpartum populations. Our searches did not identify any studies linking general antioxidants to psychoneuroimmunological causes of depression, so the present paper will not further discuss antioxidants.

We introduce each micronutrient with a brief overview of its biochemistry and dietary sources. Then, we present and critique evidence for the micronutrient's linkage to PNI and evidence for the micronutrient's role in depression in the general population. This presentation is followed by analysis of the micronutrient's potential role in PPD and evaluation of each micronutrient as a potential subject for psychoneuroimmunological research into the aetiology of PPD.

PUFA

Two families of essential long-chain PUFA cannot be synthesised by human bodies: n-3 and n-6 fatty acids(Reference Koletzko, Lien and Agostoni16). Thus, human diets must contain either the n-3 and n-6 PUFA or their precursor molecules (α-linolenic acid for n-3 and linoleic acid for n-6). n-3 PUFA are concentrated in fatty fish and certain algae; their precursor α-linolenic acid is concentrated in plant sources such as flaxseed and walnuts. (It is important to note, however, that synthesis of n-3 PUFA from α-linolenic acid is inefficient. Thus, human consumers rely significantly on seafood for meeting their demands of n-3 PUFA.) n-6 PUFA are concentrated in animals that are fed diets high in cultivated cereals; their precursor linoleic acid is concentrated in vegetable oil sources such as maize, soya, sunflower-seed and cottonseed.

Linkage to psychoneuroimmunology

PUFA may influence the PNI of depression through their impact on the immune system's inflammatory response. n-3 PUFA function in the body in the form of EPA and a further derivative, DHA. Supplementation with these molecules has been shown to decrease levels of key inflammatory cytokines TNF-α, IL-1β, IL-6, and IL-8(Reference Adkins and Kelley17). Further research investigating mechanisms for the anti-inflammatory effect of n-3 PUFA has demonstrated that EPA limits the activation of transcription factor NF-κB, a major pathway for the formation of pro-inflammatory cytokines(Reference Zhao, Joshi-Barve and Barve18).

Another way by which EPA limits inflammation is competitive inhibition of the cyclo-oxygenase (COX) inflammation pathway. The COX pathway converts the body's primary n-6 PUFA, arachidonic acid, to pro-inflammatory cytokines such as prostaglandins and prostacyclins. However, high levels of EPA directly impede production of arachidonic acid derivatives by using the COX enzyme to form EPA derivatives instead(Reference Adkins and Kelley17, Reference Vecchio, Simmons and Malkowski19).

Role in depression

Since the 1980 s, researchers have reported a protective effect of n-3 PUFA against inflammatory conditions such as CVD(Reference Adkins and Kelley17, Reference Saravanan, Davidson and Schmidt20), cancer(Reference Gleissman, Johnsen and Kogner21) and autoimmune disease(Reference Pestka22, Reference Harbige23). Because depression is often co-morbid with these diseases, researchers began asking whether n-3 PUFA levels that protect against inflammatory disease might also protect against depression. Early observational studies were remarkably consistent: serum and dietary n-3 PUFA levels are low in depressed patients, and countries with lower n-3 PUFA consumption have higher rates of depression(Reference Liperoti, Landi and Fusco24, Reference Sontrop and Campbell25).

Following publication of these observations, psychiatric researchers began conducting intervention studies on the effectiveness of n-3 PUFA supplementation as a treatment for MDD. Multiple studies have shown effectiveness of n-3 PUFA supplementation(Reference Lespérance, Frasure-Smith and St-André26Reference Su, Huang and Chiu29), but some have shown no change from placebo(Reference Rogers, Appleton and Kessler30Reference Marangell, Martinez and Zboyan32). Interpretation of these results is confounded by variance in the dosages and EPA:DHA ratios used in the studies, as well as whether n-3 PUFA were a monotherapy or adjunct to anti-depressants and psychotherapy. Variance in the age of study populations also limits generalisability of results. However, because accumulating evidence leaned toward the effectiveness of n-3 PUFA supplementation, the American Psychiatric Association recommended in 2006 that practitioners consider n-3 PUFA monitoring and supplementation during treatment of mood disorders(Reference Freeman, Hibbeln and Wisner33). That recommendation continues to be the standard of care.

Two significant mechanisms have been proposed for the apparent relationship between PUFA and depression. The first is a psychoneuroimmunological hypothesis, that by limiting production of pro-inflammatory eicosanoids and cytokines, n-3 PUFA prevent the inflammatory state that characterises clinical depression(Reference Sontrop and Campbell25, Reference Lu, Tsao and Leung34). The second mechanism is neuronal; n-3 PUFA help regulate the production, function and metabolism of serotonergic neurotransmitters(Reference Su35).

Role in postpartum depression

In the 1990 s, multiple studies characterised maternal depletion of n-3 PUFA, particularly DHA, during pregnancy and lactation(Reference Al, van Houwelingen and Kester36Reference Otto, Houwelingen and Antal38). Maternal stores of DHA can reduce by 50% during pregnancy and not return to pre-pregnancy levels until 6 months postpartum. Then, in 2002, an epidemiological study by Hibbeln linked low maternal n-3 PUFA levels with PPD(Reference Hibbeln39). Hibbeln compiled a multinational dataset to compare two measures of maternal n-3 PUFA levels (seafood consumption and breast milk DHA content) with rates of PPD. After establishing the dataset and a conservative threshold for PPD (score of 12/13 on the Edinburgh Postpartum Depression Scale; EPDS), Hibbeln conducted multiple levels of analysis to assess the impact of confounding factors such as socio-economic status, spouse/family support, and geographical latitude/light exposure. Hibbeln demonstrated that both lower rates of seafood consumption and lower concentrations of breast milk DHA were strongly correlated with higher rates of postpartum depressive symptoms.

In the years immediately following publication of Hibbeln's data(Reference Hibbeln39), multiple observational studies were conducted to compare postpartum subjects' n-3 PUFA levels with depressive symptoms (Table 1). Three of five studies during this period reported an inverse correlation between n-3 PUFA levels and PPD(Reference De Vriese, Christophe and Maes40Reference Otto, de Groot and Hornstra42), while the other two showed limited or no relationship(Reference Browne, Scott and Silvers43, Reference Miyake, Sasaki and Yokoyama44). There are no systematic methodological distinctions among the studies that might explain why some showed a relationship and some did not. Areas of consistency in study design are: use of EPDS to assess depression; and use of blood samples rather than diet to assess n-3 PUFA levels (four of five studies). Areas of inconsistency in study design are: prospective cohort v. cross-sectional design; timeline for assessing n-3 PUFA status and screening for depression; and threshold on the screening tool used for considering a woman ‘depressed’.

Since publication of Hibbeln's data(Reference Hibbeln39), eight interventional studies (Table 2) have been published that examine the link between n-3 PUFA and perinatal depression (second trimester of pregnancy to 4 months postpartum). The studies are all placebo-controlled, randomised and blinded. Of the eight studies, six report no effect of n-3 PUFA supplementation on perinatal depression(Reference Llorente, Jensen and Voigt45Reference Makrides, Gibson and McPhee50), while two studies report an inverse association between n-3 PUFA supplementation and perinatal depression(Reference Su, Huang and Chiu51, Reference Freeman, Hibbeln and Wisner52). Yet, as with observational studies of n-3 PUFA and PPD, there is no straightforward explanation for these mixed results. An area of consistency in study design is the use of EPDS to assess depression. Areas of inconsistency in study design are: when in the perinatal period intervention occurred; dosage and ratio of EPA:DHA used in treatment; whether blood samples confirmed an impact of n-3 PUFA supplementation; sample size; inclusion/exclusion of participants with confounding factors; and timeline for assessing n-3 PUFA status and screening for depression.

Assessment of research potential n-3 PUFA and the psychoneuroimmunology of postpartum depression

Recent results from clinical trials have cast doubt on the potential of n-3 PUFA to prevent depression for a general postpartum population(Reference Makrides, Gibson and McPhee50). However, meta-analysis results(Reference Jans, Giltay and Van der Does53) suggest that n-3 PUFA consumption may help prevent PPD for certain ethnic populations, and that specific n-3 PUFA may have different effects for prevention than treatment. Thus, it is valuable for research to continue on the relationship between n-3 PUFA and PPD. Based on the role of n-3 PUFA in modulating inflammation, investigation of psychoneuroimmunological mechanisms for the relationship is one avenue by which research should proceed.

B vitamins

B vitamins are a family of eight water-soluble molecules that have similar structures and act as enzymes for metabolic processes throughout the body, particularly in the haematological, nervous and integumentary systems. B vitamins are both numbered and named (for example, vitamin B2 is ‘riboflavin’; vitamin B9 is ‘folate’) and are found in a wide variety of unprocessed foods. Gross deficiencies in B vitamins can cause chronic problems ranging from anaemia (microcytic, vitamin B6; macrocytic, vitamins B9 and B12), to peripheral nervous system impairment (vitamins B1 and B12), to severe psychological disturbance (vitamins B1, B3, B6 and B12).

Linkage to psychoneuroimmunology

The linkage between B vitamins and PNI is limited, as B vitamins do not have a direct influence on the immune system or HPA axis. What B vitamins do influence are the background levels of cardiovascular inflammation, by managing levels of the pro-inflammatory amino acid homocysteine(Reference Smulders and Blom54). Vitamins B9 and B12 convert homocysteine to methionine, an amino acid needed for the translation step of protein synthesis, and vitamin B6 helps condense homocysteine into a precursor of the amino acid cysteine(Reference Beydoun, Shroff and Beydoun55, Reference Malouf and Grimley Evans56).

Role in depression

Depression in general populations has been linked to low levels of B vitamins and/or high levels of homocysteine. The implicated B vitamins vary depending on the study population, such as vitamin B12 showing strong correlation with depression in elder populations(Reference Robinson, O'Luanaigh and Tehee57Reference Tiemeier, van Tuijl and Hofman59) and vitamin B9 showing correlation with depression in adult and adolescent populations(Reference Beydoun, Shroff and Beydoun55, Reference Murakami, Miyake and Sasaki60). Because almost all studies use a cross-sectional design, however, analysis raises the question of whether low B vitamin and high homocysteine levels cause depression, result from depression or are co-morbid with depression. Longitudinal studies that would elucidate this relationship have not been conducted. The results of treatment studies using B vitamins as preventive and adjunctive therapy for depression have been mixed, depending on dosage levels prescribed and participants' general health status(Reference Almeida, Marsh and Alfonso61Reference Ford, Flicker and Thomas63).

In the absence of evidence clarifying the relationship between B vitamins and depression, causal mechanisms have been proposed but not thoroughly investigated. A neuronal hypothesis suggests that low levels of vitamins B6, B9 and B12 might cause decreased synthesis of the neurotransmitters serotonin, dopamine and noradrenaline(Reference Fava and Mischoulon62, Reference Miyake, Sasaki and Tanaka64). A second, ‘vascular hypothesis’ of depression suggests that B vitamin deficiency allows hyperhomocysteinaemia, which in turn is associated with vascular damage and a state of chronic inflammation. In addition, damage to the carotid and intracerebral arteries can cause persistently low O2 delivery to the prefrontal cortex, resulting in depression and generally poor mentation. However, research in recent years has suggested that hyperhomocysteinaemia may be co-morbid with CVD rather than a cause of it(Reference Smulders and Blom54, Reference Robinson, O'Luanaigh and Tehee57), calling into question the vascular hypothesis for how B vitamin deficiency relates to depression.

Role in postpartum depression

Few studies have investigated the relationship between B vitamins and PPD, and those that have do not provide evidence of a likely link. In an early prospective cohort study (n 131), Rouillon et al. recorded serum vitamin B9 status on the third day postpartum and measured PPD at 1, 2 and 3 months postpartum(Reference Rouillon, Thalassinos and Miller65). The authors found no correlation between vitamin B9 status and PPD. Later, Miyake et al. (Reference Miyake, Sasaki and Tanaka64) used a FFQ to characterise dietary intake of vitamins B2, B6, B9 and B12 in a prospective cohort of 865 women. The only inverse association identified between B vitamin intake and PPD occurrence (measured between 2 and 9 months postpartum) was between vitamin B2 and PPD. However, this inverse relationship was only significant (CI = 95%) for the third quartile of vitamin B2 consumption.

Assessment of research potential: B vitamins and the psychoneuroimmunology of postpartum depression

Currently, there is no strong evidence correlating B vitamin levels with PPD. Much work remains to characterise a possible link between B vitamins and PPD, particularly longitudinal research that measures levels of vitamins B2, B6, B9 and B12 throughout the postpartum period. In addition, B vitamins do not have an identified neuroendocrine or immune function through which B vitamin deficiency might contribute to the PNI of PPD. Thus, we hesitate to recommend research on B vitamins and the PNI of PPD.

Vitamin D

Vitamin D is a steroid hormone synthesised by the skin in response to UVB light. To become biologically active, the molecule undergoes a first hydroxylation reaction in the liver. Then, specialised cells in the kidneys, brain and immune system complete a second hydroxylation reaction, creating the body's functional form of vitamin D, calcitriol(Reference Kesby, Eyles and Burne66, Reference Borges, Martini and Rogero67). Dietary sources of vitamin D include fortified dairy or cereal products, fatty fish, eggs and beef liver.

Vitamin D works at a cellular level by activating the vitamin D nuclear receptor. Genes under the influence of the vitamin D nuclear receptor contribute to Ca transport, bone remodelling, cell cycling, cell differentiation and apoptosis. While vitamin D's role in Ca regulation and bone health has long been recognised, its role in cellular proliferation and development has been a subject of increasing interest over the last 10 years(Reference Kesby, Eyles and Burne66).

Linkage to psychoneuroimmunology

Vitamin D exerts influence over both cellular and humoral immune responses. Early animal studies showed that vitamin D inhibits CD4 and T helper (Th) cell activation in autoimmune disease models(Reference Garcion, Wion-Barbot and Montero-Menei68). Later studies produced more specific findings, indicating that vitamin D shifts the body's production of T lymphocytes away from Th1 toward Th2 cells. As a result, Th1 production of inflammatory cytokines interferon-γ and IL-2 decreases, while Th2 production of cytokines such as IL-4, IL-5 and IL-10 increases. These cytokines in turn stimulate B cell production(Reference Borges, Martini and Rogero67). Vitamin D also decreases NF-κB activation of macrophages, thereby reducing macrophage production of pro-inflammatory cytokines(Reference Borges, Martini and Rogero67).

In addition to impacts on the immune system, vitamin D interacts with elements of the HPA axis. In hippocampal cells cultured from young rats, researchers have examined the interaction between vitamin D and glucocorticoids(Reference Obradovic, Gronemeyer and Lutz69). Normally, glucocorticoids prevent the differentiation of hippocampal cells, and if glucocorticoids stimulate the cells for extensive periods, apoptosis occurs. However, vitamin D exerts two effects on this glucocorticoid system: when applied to hippocampal cells concurrently with glucocorticoids, it allows morphological changes in the cells; when applied to hippocampal cells before long-term glucocorticoid exposure, it significantly decreases the extent of apoptosis.

Role in depression

Four cross-sectional studies in non-psychiatric populations have examined the relationship between vitamin D levels and depression. Of these, three found that a low serum vitamin D level was associated with depressive symptoms(Reference Lee, Tajar and O'Neill70Reference Jorde, Waterloo and Saleh72). However, in a study of similar sample size and design, researchers found no association between vitamin D levels and depression(Reference Pan, Lu and Franco73). Other cross-sectional studies have examined vitamin D levels in patients already identified with depression, comparing those depressed patients with non-depressed controls. Three of these studies identified a low vitamin D–depression link(Reference Eskandari, Martinez and Torvik74Reference Schneider, Weber and Frensch76), while two other studies found no significant difference in vitamin D status between depressed and non-depressed patients(Reference Herrán, Amado and García-Unzueta77, Reference Michelson, Stratakis and Hill78).

Two double-blind, randomised treatment trials have specifically examined the relationship between vitamin D and depression. In a 1-year-long prospective study in an overweight/obese population, researchers found significant improvement in depressive symptoms with ongoing, high-level supplementation of vitamin D(Reference Jorde, Sneve and Figenschau79). The other treatment study used a very different design, investigating whether annual oral administration of high-level, single-dose vitamin D could make an impact on mood(Reference Sanders, Stuart and Williamson80). (The rationale for single-dose administration was its reported effectiveness as a treatment for seasonal affective disorder.) However, the study found no prevention effect for depressive symptoms between the treatment and control groups.

Three general concerns limit interpretation of research on vitamin D and depression. As discussed in regard to studies of B vitamins, cross-sectional designs do not support a distinction among cause/effect/co-morbid relationships. Next, most of these studies failed to adjust for other factors known to influence depression, such as smoking, CVD and diet/exercise. Finally, many of these studies focused on middle-aged or older adults. Patterns and mechanisms of depression in elder populations cannot be assumed to be consistent across the lifespan.

The studies discussed above have generated significant interest in the relationship between vitamin D and depression. However, researchers have proposed few hypothetical mechanisms for the low vitamin D–depression relationship. The dominant hypothesis in the literature is neuronal, focusing on vitamin D's influence on hypothalamus function and the production of neurotransmitters(Reference Hoogendijk, Lips and Dik71, Reference Parker and Brotchie81, Reference Bertone-Johnson82). To our knowledge, a psychoneuroimmunological hypothesis has been mentioned only briefly, even though vitamin D's contribution to immune function is well established(Reference Murphy, Mueller and Hulsey15, Reference Bertone-Johnson82).

Role in postpartum depression

One study has investigated the association between vitamin D and PPD. Researchers monitored vitamin D levels and depressive symptoms for ninety-seven women on a monthly basis for 7 months(Reference Murphy, Mueller and Hulsey15). Using a dichotomous model with a cut-off score of 9 on the EPDS and 32 ng/ml vitamin D, depression was consistently higher for women with lower vitamin D levels than higher vitamin D levels. Limitations of the study include its use of a convenience sample, no participant exclusions for other factors influencing depression (social support, etc.) and no clinical assessment of depression following screening with the EPDS.

Assessment of research potential: vitamin D and the psychoneuroimmunology of postpartum depression

The contributions of vitamin D to immune and HPA axis function suggest that vitamin D could be an appropriate focus for PNI of PPD research. However, because the only research linking vitamin D to PPD is a small pilot study, any investigation of vitamin D's link to the PNI of PPD needs to begin with extensive characterisation of the vitamin D–PPD relationship.

Trace minerals

Dietary minerals are elements present in the human body that are not common components of organic molecules. Some dietary minerals occur in relatively large quantities and play structural (Ca) and electrolyte (Na, K, Cl) roles. Other dietary minerals occur in trace amounts and function as enzymic cofactors and cell-signalling molecules. Food sources for dietary minerals vary widely. Some are concentrated in animal products (Fe, Ca, P), while others are concentrated in vegetarian sources (K, Mg).

If no supplements are consumed and excretion mechanisms function adequately, the human body rarely reaches a toxic concentration of minerals. Mineral deficiency, however, is common. Humans can become deficient in dietary minerals due to inadequate intake, overactive bladder or bowel excretion, or a pathogenic body condition (for example, low Fe due to chronic bleeding). In addition, women's bodies can become depleted of minerals during pregnancy and lactation, due to transfer of minerals to the fetus and infant. When deficiencies occur, symptoms vary according to the mineral and to the level of deficiency.

Of specific interest for the present study are the trace minerals Zn and Se. Both minerals play multiple roles throughout the body (particularly as enzyme cofactors and by contributing to the structure of amino acids), and both minerals have been associated with depression(Reference Fairweather-Tait, Bao and Broadley83, Reference Maret and Sandstead84). Both minerals can be ingested in adequate amounts from a well-rounded diet; Zn is particularly concentrated in red meat, seeds and beans, while Se is concentrated in nuts, meat and fish. In the sections below, we discuss each mineral in turn.

Linkage to psychoneuroimmunology

Zn deficiency has been linked to immunosuppression through treatment studies, prevention studies and laboratory studies of animal models(Reference Maret and Sandstead84Reference Ibs and Rink86). One mechanism by which Zn deficiency contributes to immunosuppression is altering the balance between pro- and anti-inflammatory cytokines(Reference Prasad, Beck and Bao87), such as allowing greater production of NF-κB(Reference Prasad, Beck and Bao87) and IL-1β(Reference Beck, Prasad and Kaplan88). A second mechanism by which Zn deficiency causes immunosuppression is altering the number and productivity of B cells and T cells, a process that possibly involves the HPA axis(Reference Fraker and King89).

Se's primary function in the immune system is anti-inflammatory, mediated by the selenoprotein glutathione peroxidase(Reference Fairweather-Tait, Bao and Broadley83, Reference Duntas90). A key antioxidant with variants across species, glutathione peroxidase reduces H2O2 and thus limits the COX pathway production of pro-inflammatory cytokines. Se also contributes to cellular immunity by stimulating T cell clonal expansion and potentiating the action of natural killer cells (first identified in 1994(Reference Kiremidjian-Schumacher, Roy and Wishe91), now a foundation for Se research in virology(Reference Hoffmann and Berry92, Reference Broome, McArdle and Kyle93) and oncology(Reference Raucci, Colonna and Guerriero94Reference Jensen, Wing and Dellavalle98)).

Role in depression

Low levels of Zn have been linked to mood disorders since the 1980 s. This relationship has been consistent for populations of different ages, from young adult(Reference Sawada and Yokoi99) to adult(Reference Maes, D'Haese and Scharpé100) to elderly(Reference Marcellini, Giuli and Papa101). Some studies even support a tentative relationship between Zn and mood regulation in infants and young children(Reference DiGirolamo and Ramirez-Zea102). Yet, it is important to note that longitudinal studies have not yet been conducted that would clarify a cause/effect/co-morbid relationship between Zn and depression.

In the absence of longitudinal data, treatment studies are one way to elucidate the Zn–depression relationship. Nowak et al. reported results from a small (n 20) double-blind, placebo-controlled study of Zn as an adjunct to standard antidepressant therapy in a non-hospitalised adult MDD population(Reference Nowak, Siwek and Dudek103). Depressive symptoms after 6 and 12 weeks of treatment were reduced in those receiving both Zn supplements and antidepressant medication, compared with the control group receiving placebos and antidepressants. Later, Sawada & Yokoi(Reference Sawada and Yokoi99) tentatively expanded these findings to a non-MDD population. Sawada & Yokoi's small (n 31) double-blind, placebo-controlled pilot study tested the impact of Zn supplementation on the mood of healthy young adult women. Results showed a significant decrease in anger-hostility and depression-dejection scores, but no significant changes in other mood components (for example, tension-anxiety, vigour, fatigue and confusion).

Efforts to understand the mechanisms by which Zn deficiencies might contribute to depression have focused on neuronal hypotheses; Zn has not yet received attention from the PNI research community. The neuronal hypotheses are based on evidence that half of the brain's free Zn is stored in synaptic vesicles of hippocampal glutamatergic neurons. Physiologically normal levels of Zn may regulate glutamate release from these neurons(Reference Szewczyk, Poleszak and Sowa-Kućma104), protecting neuron health in an area of the brain whose atrophy has been linked to mood disorders(Reference Tae, Kim and Lee105).

The relationship between low Se levels and depression has primarily been explored through treatment studies. In the 1980 s, Se was part of three antioxidant interventions for geriatric populations(Reference Benton and Cook106). In these studies, subjects treated for up to 1 year with combinations of Se and other antioxidants (vitamins A, C and E) showed improvement in measures of mood and cognitive function. However, the studies did not allow specific impacts of Se to be identified. Then, in 1991, Benton & Cook(Reference Benton and Cook106) reported research investigating whether Se supplementation alone would make an impact on mood. Results of that placebo-controlled, double-blind study involving fifty subjects indicate that Se supplementation causes significant improvement in mood only for subjects with a low baseline Se level, and minimal or no change in mood for subjects whose baseline Se status is marginal or adequate. However, these minimal impacts were not observed in a later, very small (n 11) study(Reference Hawkes and Hornbostel107).

In 1998, Finley & Penland(Reference Finley and Penland108) identified the most significant treatment effect to date for Se's impact on mood. In this study (n 30), subjects consuming a prescribed high-Se diet (utilising pastured meat and grains raised in high-Se soil) showed increased plasma Se and reported less mood disturbance over time than those consuming a low-Se diet. The result was robust across multiple subscale measures of mood (elated–depressed, composed–anxious, etc.). However, participants in the study's treatment groups did not have similar baseline mood scores; the high-Se group had a higher number of participants with baseline mood disturbance. Thus, the question must be asked whether Se is particularly helpful for individuals already experiencing disturbed mood, or whether Se can limit mood disturbance in the general population.

As a follow-up to these intervention studies, in 2006 Rayman et al. included a mood assessment protocol in their pilot (n 501) for the UK PRECISE study (UK PREvention of Cancer by Intervention with SElenium)(Reference Rayman, Thompson and Warren-Perry109). The pilot study was a 6-month, double-blind, randomised trial for Se supplementation in otherwise healthy older adults (age 60–74 years). The study found no relationship between mood and Se supplementation status.

Mechanisms by which Se deficiency might contribute to depression have been proposed but not explored. One idea is that, due to selenoprotein glutathione peroxidase's role in processing thyroid H2O2, Se deficiency may make an impact on mood by decreasing thyroid function(Reference Sher110). A neuronal explanation of the Se–depression link is based on evidence that Se concentration influences dopamine metabolism(Reference Castaño, Ayala and Rodríguez-Gómez111); however, animal studies suggest that only severe Se deficiency is likely to make an impact on dopamine levels(Reference Rayman, Thompson and Warren-Perry109). To our knowledge, a psychoneuroimmunological mechanism for a Se–depression link has not yet been proposed in the literature.

Role in postpartum depression

One study has investigated the association between Zn and PPD. Working with a cohort of sixty-six women, all of whom were receiving Zn supplements, Wójcik et al. measured serum Zn and screened for depression at three points in time: 1 month before delivery, 3 d postpartum and 30 d postpartum(Reference Wójcik, Dudek and Schlegel-Zawadzka112). Wójcik et al. (Reference Wójcik, Dudek and Schlegel-Zawadzka112) was able to support in a postpartum population the earlier conclusion of Maes et al. (Reference Maes, Vandoolaeghe and Neels113) for adult MDD: Zn levels vary inversely, along a continuous spectrum, with the severity of depressive symptoms.

One study likewise has investigated the relationship between Se and PPD. Mokhber et al. (Reference Mokhber, Namjoo and Tara114) reported the results of a placebo-controlled, randomised, double-blind Se supplementation trial (n 218) during the last 6 months of pregnancy. Pre-/post-treatment serum Se was measured, and screening for PPD occurred 8 weeks after delivery. Results demonstrated a significant increase in serum Se in the treatment group, indicating that low Se levels are responsive to intervention. Mokhber et al. also reported that mean depression scores were significantly lower in women receiving Se supplementation, even after thorough analysis of social support factors.

Assessment of research potential: trace minerals and the psychoneuroimmunology of postpartum depression

In conclusion, the trace minerals Zn and Se are an appropriate focus for PNI of PPD research. However, the research on trace minerals and MDD that would support a PNI of PPD investigation is in its infancy. Thus, it is unlikely that research on the PNI of PPD would make significant progress toward understanding Zn and Se's contributions to PPD unless concurrent work occurs on the biochemical aspects of how trace minerals relate to MDD.

Discussion

We have reviewed evidence linking women's micronutrient status to the development of PPD, focusing on the potential contribution of micronutrient status to a psychoneuroimmunological mechanism of PPD. Although data regarding a micronutrient–PPD link and PNI of PPD mechanism are provocative, available evidence cannot support strong conclusions in either area. The strength of conclusions is limited by two factors. First, for each micronutrient of concern, studies have produced conflicting results – yet meta-analysis to resolve these conflicts is not possible because the studies vary so greatly in design (for example, definitions of depression, measurement of micronutrient status, guidelines for participant exclusion). Thus, researchers and clinical practitioners have no formal tool to assess the balance of evidence for or against a micronutrient–PPD link. Second, the studies were not designed to test particular mechanisms for how each micronutrient could contribute to PPD. Thus, conclusions for any single study are limited to a statement for or against the micronutrient–PPD link, offering no further insight about how the micronutrient may relate to PPD. Without consideration of a mechanism of action, studies have not been structured to identify special conditions under which a relationship might exist, such as in particular patient populations (history of mental illness, inflammatory disease, limited social support), according to the degree of micronutrient deficiency (before, during, after pregnancy) or according to the type of micronutrient consumed (dietary, supplement, pharmaceutical-grade, etc.).

In light of these limitations in the body of literature on micronutrients and PPD, we propose three principles to guide future investigations. First, studies conducted by various research groups need to comply with more stringent design recommendations (see below). Meeting these standards will enable the findings of future studies to be compiled into meta-analysis projects. Second, studies need to investigate underlying mechanisms about a micronutrient's relationship with PPD. This will help tease out the aetiology of each micronutrient's contribution, if any. By better understanding the aetiology, we can better investigate the conditions in which the micronutrient is likely to exert significant impact. Then, we can design more effective interventions for women at risk of PPD. Finally, researchers are encouraged to keep in mind that single-nutrient interventions generally have less impact on mood than broad-spectrum nutritional interventions (prescribed diet, nutritional counselling, etc.). Single-nutrient interventions may even have negative effects, such as recent evidence that fish oil supplements for lactating women may be associated with decreased cognitive abilities in children at 7 years of age(Reference Cheatham, Nerhammer and Asserhøj115). Thus, future research needs to build a picture of how multiple micronutrients contribute to PPD.

Research design recommendations

Research designs should take into account several considerations. First, research needs adequate sample size and ethnically diverse patient populations. Working from the perspective of the PNI of PPD, patients with histories of immune disorders or inflammatory diseases should not be included, as these patients' basic inflammatory milieu is significantly different from the general population.

Second, if possible, research should be longitudinal. This prevents the cause/effect/co-morbid uncertainty inherent in cross-sectional research. This is especially important from a PNI of PPD perspective, because plasma levels of micronutrients are often influenced by an inflammatory state(Reference Duncan, Talwar and McMillan116). Thus, longitudinal data are important for resolving uncertainty not just about the link between micronutrients and PPD, but also the link between micronutrients and biochemical markers of psychoneuroimmunological aetiology.

Third, observational research should stretch from early pregnancy to 1 year postpartum to identify when changes in micronutrient levels occur. This information would help prevention researchers time their interventions for presumed maximum effect.

Fourth, research needs to use a consistent method for monitoring micronutrient status. Dietary recall is not a preferred method for assessing micronutrient status, as it builds uncertainty into the study design. Using PUFA measurement as an example, validation studies for food questionnaires show that fish consumption as a measure of n-3 PUFA status only correlates with plasma measurements at the quartile level(Reference Lucas, Asselin and Mérette117, Reference Andersen, Solvoll and Drevon118). As an alternative, we recommend monitoring blood levels, which reflect the availability of micronutrients for biological processes. Blood sampling is, however, logistically difficult, and episodic sampling may need to be used in combination with dietary recall for a longitudinal study. Nonetheless, improved accuracy on micronutrient status is an important component of increasing the strength of study conclusions. In addition, blood sampling facilitates research on mechanisms of a micronutrient–PPD link. For example, measuring cytokine and cortisol levels at the same time allows investigation of a PNI of PPD hypothesis.

Fifth, to facilitate comparison of study results, research needs to use a common measurement tool and timeline for screening for PPD. We suggest a tool created specifically for postpartum populations, such as the EPDS(Reference Cox, Holden and Sagovsky119) or Postpartum Depression Screening Scale(Reference Beck and Gable120). We recommend a timeline of PPD identified in the first 3 months postpartum.

We recognise that studies complying with all these suggestions will be difficult to carry out on a very large scale. There is a trade-off between large studies that can rigorously quantify the micronutrient–PPD relationship, and small studies that can investigate causal mechanisms for the relationship. As a result, it might be advisable to initiate moderately sized (n 1000) studies of the micronutrient–PPD relationship, focusing on specific populations or mechanisms of interest.

Limitations

One limitation of the present review is that the literature search was conducted only in the PubMed database and only included English-language articles. Another limitation is that the review did not establish level-of-evidence criteria for research results included in the analysis. Thus, the present review can provide only general direction to readers, unlike a systematic review that could provide a more solid foundation for research and clinical decision-making. A third limitation is that the present review's focus on physiological mechanisms resulted in some data not being included. For example, Strøm et al. (Reference Strøm, Mortensen and Halldorsson121) conducted a large study on the relationship between n-3 PUFA or fish consumption and PPD. The authors measured PPD on the basis of (1) psychiatric admissions or (2) antidepressant prescriptions. These measures of PPD capture only the most severe cases, unlike depression-screening scales that are sensitive to developing or mild cases of PPD. The Strøm et al. data(Reference Strøm, Mortensen and Halldorsson121) were not included in the present review because our focus on physiological contributors to PPD required the higher degree of sensitivity that screening scales provide.

To address these limitations, we recommend conducting a systematic review of articles related to the causal mechanisms for a micronutrient–PPD link. This review should include non-English publications. The review should also summarise data from studies that do not use a screening scale to measure the incidence of PPD.

Research significance

At this time, evidence is not strong enough to safely prevent or treat PPD with dietary interventions or supplements alone. Further research on the link between micronutrients and PPD, specifically the PNI of PPD, is necessary before clinicians can design diet and supplementation plans to prevent and treat PPD. Currently, the American Psychiatric Association recommends a wide dosage range for n-3 PUFA treatment of mood disorders (from 1–9 g EPA and DHA per d), with the EPA:DHA ratio undefined(Reference Freeman122). For B vitamins and trace minerals, there is no recommended dosage for mood disorders. Clarification of dosages for prevention or treatment of PPD might encourage more clinicians to treat pregnant and postpartum women with dietary modification or micronutrient supplements. These interventions would be relatively inexpensive, and women reluctant to take anti-depressant medication might be more willing to enter treatment(Reference Yonkers, Vigod and Ross1, Reference Kendall-Tackett123Reference Turner, Sharp and Folkes125).

The potential association of micronutrients with PPD is also significant for health and agriculture policy. A demonstrated link between micronutrient status and PPD could be the basis for health education initiatives, including additional labelling of micronutrients in processed foods. Also, a demonstrated link could support inclusion of more micronutrient-rich foods in government benefit programmes, such as the Women, Infants, and Children nutritional support programme in the USA.

In conclusion, limited evidence suggests that certain micronutrient deficiencies may be factors causing some women to move beyond risk to develop PPD. How these deficiencies influence immune and HPA axis function is an intriguing direction for research from a PNI of PPD perspective.

Acknowledgements

The present review was supported in part by funding from the National Institutes of Health (R01NR011278).

E. R. E.-B. was the primary researcher and writer for this paper. E. J. C. oversaw the project and reviewed drafts when the paper was prepared for publication.

The authors declare no potential conflicts of interest for themselves or their institution.

References

1Yonkers, KA, Vigod, S & Ross, LE (2011) Diagnosis, pathophysiology, and management of mood disorders in pregnant and postpartum women. Obstet Gynecol 117, 961977.CrossRefGoogle ScholarPubMed
2Robertson, E, Grace, S & Wallington, T, et al. . (2004) Antenatal risk factors for postpartum depression: a synthesis of recent literature. Gen Hosp Psychiatry 26, 289295.Google Scholar
3Corwin, EJ, Johnston, N & Pugh, L (2008) Symptoms of postpartum depression associated with elevated levels of interleukin-1β during the first month postpartum. Biol Res Nurs 10, 128133.Google Scholar
4Groer, MW & Morgan, K (2007) Immune, health and endocrine characteristics of depressed postpartum mothers. Psychoneuroendocrinology 32, 133139.CrossRefGoogle ScholarPubMed
5Bloch, M, Rotenberg, N, Koren, D, et al. . (2006) Risk factors for early postpartum depressive symptoms. Gen Hosp Psychiatry 28, 38.Google Scholar
6Miller, AH, Maletic, V & Raison, CL (2009) Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry 65, 732741.Google Scholar
7Dantzer, R, O'Connor, JC, Freund, GG, et al. . (2008) From inflammation to sickness and depression: when the immune system subjugates the brain. Nat Rev Neurosci 9, 4656.CrossRefGoogle ScholarPubMed
8Maes, M, Ombelet, W, De Jongh, R, et al. . (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. J Affect Disord 63, 8592.CrossRefGoogle ScholarPubMed
9Maes, M, Lin, AH, Ombelet, W, et al. . (2000) Immune activation in the early puerperium is related to postpartum anxiety and depressive symptoms. Psychoneuroendocrinology 25, 121137.Google Scholar
10Browne, M, Jacobs, M, Lahiff, M, et al. . (2010) Perineal injury in nulliparous women giving birth at a community hospital: reduced risk in births attended by certified nurse-midwives. J Midwifery Womens Health 55, 243249.Google Scholar
11O'Brien, J, Lyons, T, Monks, J, et al. . (2010) Alternatively activated macrophages and collagen remodeling characterize the postpartum involuting mammary gland across species. Am J Pathol 176, 12411255.Google Scholar
12Angioli, R, Gómez-Marín, O, Cantuaria, G, et al. . (2000) Severe perineal lacerations during vaginal delivery: the University of Miami experience. Am J Obstet Gynecol 182, 10831085.Google Scholar
13Connolly, AM & Thorp, JM (1999) Childbirth-related perineal trauma: clinical significance and prevention. Clin Obstet Gynecol 42, 820835.CrossRefGoogle ScholarPubMed
14Bodnar, LM & Wisner, KL (2005) Nutrition and depression: implications for improving mental health among childbearing-aged women. Biol Psychiatry 58, 679685.CrossRefGoogle ScholarPubMed
15Murphy, PK, Mueller, M, Hulsey, TC, et al. . (2010) An exploratory study of postpartum depression and vitamin D. J Am Psychiatr Nurses Assoc 16, 170177.CrossRefGoogle ScholarPubMed
16Koletzko, B, Lien, E, Agostoni, C, et al. . (2008) The roles of long-chain polyunsaturated fatty acids in pregnancy, lactation and infancy: review of current knowledge and consensus recommendations. J Perinat Med 36, 514.Google Scholar
17Adkins, Y & Kelley, DS (2010) Mechanisms underlying the cardioprotective effects of omega-3 polyunsaturated fatty acids. J Nutr Biochem 21, 781792.Google Scholar
18Zhao, Y, Joshi-Barve, S, Barve, S, et al. . (2004) Eicosapentaenoic acid prevents LPS-induced TNF-α expression by preventing NF-κB activation. J Am Coll Nutr 23, 7178.Google Scholar
19Vecchio, AJ, Simmons, DM & Malkowski, MG (2010) Structural basis of fatty acid substrate binding to cyclooxygenase-2. J Biol Chem 285, 2215222163.Google Scholar
20Saravanan, P, Davidson, NC, Schmidt, EB, et al. . (2010) Cardiovascular effects of marine omega-3 fatty acids. Lancet 376, 540550.CrossRefGoogle ScholarPubMed
21Gleissman, H, Johnsen, JI & Kogner, P (2010) Omega-3 fatty acids in cancer, the protectors of good and the killers of evil? Exp Cell Res 316, 13651373.Google Scholar
22Pestka, JJ (2010) n-3 Polyunsaturated fatty acids and autoimmune-mediated glomerulonephritis. Prostaglandins Leukot Essent Fatty Acids 82, 251258.CrossRefGoogle ScholarPubMed
23Harbige, LS (2003) Fatty acids, the immune response, and autoimmunity: a question of n-6 essentiality and the balance between n-6 and n-3. Lipids 38, 323341.CrossRefGoogle ScholarPubMed
24Liperoti, R, Landi, F, Fusco, O, et al. . (2009) Omega-3 polyunsaturated fatty acids and depression: a review of the evidence. Curr Pharm Des 15, 41654172.Google Scholar
25Sontrop, J & Campbell, MK (2006) Omega-3 polyunsaturated fatty acids and depression: a review of the evidence and a methodological critique. Prev Med 42, 413.Google Scholar
26Lespérance, F, Frasure-Smith, N, St-André, E, et al. . (2011) The efficacy of omega-3 supplementation for major depression: a randomized controlled trial. J Clin Psychiatry 72, 10541062.Google Scholar
27Rondanelli, M, Giacosa, A, Opizzi, A, et al. . (2010) Effect of omega-3 fatty acids supplementation on depressive symptoms and on health-related quality of life in the treatment of elderly women with depression: a double-blind, placebo-controlled, randomized clinical trial. J Am Coll Nutr 29, 5564.Google Scholar
28Nemets, H, Nemets, B, Apter, A, et al. . (2006) Omega-3 treatment of childhood depression: a controlled, double-blind pilot study. Am J Psychiatry 163, 10981100.CrossRefGoogle ScholarPubMed
29Su, K-P, Huang, S-Y, Chiu, C-C, et al. . (2003) Omega-3 fatty acids in major depressive disorder: a preliminary double-blind, placebo-controlled trial. Eur Neuropsychopharmacol 13, 267271.Google Scholar
30Rogers, PJ, Appleton, KM, Kessler, D, et al. . (2008) No effect of n-3 long-chain polyunsaturated fatty acid (EPA and DHA) supplementation on depressed mood and cognitive function: a randomised controlled trial. Br J Nutr 99, 421431.Google Scholar
31Silvers, KM, Woolley, CC, Hamilton, FC, et al. . (2005) Randomised double-blind placebo-controlled trial of fish oil in the treatment of depression. Prostaglandins Leukot Essent Fatty Acids 72, 211218.Google Scholar
32Marangell, LB, Martinez, JM, Zboyan, HA, et al. . (2003) A double-blind, placebo-controlled study of the omega-3 fatty acid docosahexaenoic acid in the treatment of major depression. Am J Psychiatry 160, 996998.Google Scholar
33Freeman, MP, Hibbeln, JR, Wisner, KL, et al. . (2006) Omega-3 fatty acids: evidence basis for treatment and future research in psychiatry. J Clin Psychiatry 67, 19541967.Google Scholar
34Lu, D-Y, Tsao, Y-Y, Leung, Y-M, et al. . (2010) Docosahexaenoic acid suppresses neuroinflammatory responses and induces heme oxygenase-1 expression in BV-2 microglia: implications of antidepressant effects for omega-3 fatty acids. Neuropsychopharmacology 35, 22382248.Google Scholar
35Su, K-P (2009) Biological mechanism of antidepressant effect of omega-3 fatty acids: how does fish oil act as a ‘mind–body interface’? Neurosignals 17, 144152.Google Scholar
36Al, MD, van Houwelingen, AC, Kester, AD, et al. . (1995) Maternal essential fatty acid patterns during normal pregnancy and their relationship to the neonatal essential fatty acid status. Br J Nutr 74, 5568.Google Scholar
37Holman, RT, Johnson, SB & Ogburn, PL (1991) Deficiency of essential fatty acids and membrane fluidity during pregnancy and lactation. Proc Natl Acad Sci U S A 88, 48354839.CrossRefGoogle ScholarPubMed
38Otto, SJ, Houwelingen, AC, Antal, M, et al. . (1997) Maternal and neonatal essential fatty acid status in phospholipids: an international comparative study. Eur J Clin Nutr 51, 232242.CrossRefGoogle ScholarPubMed
39Hibbeln, JR (2002) Seafood consumption, the DHA content of mothers' milk and prevalence rates of postpartum depression: a cross-national, ecological analysis. J Affect Disord 69, 1529.Google Scholar
40De Vriese, SR, Christophe, AB & Maes, M (2003) Lowered serum n-3 polyunsaturated fatty acid (PUFA) levels predict the occurrence of postpartum depression: further evidence that lowered n-PUFAs are related to major depression. Life Sci 73, 31813187.CrossRefGoogle ScholarPubMed
41Makrides, M, Crowther, CA, Gibson, RA, et al. . (2003) Docosahexaenoic acid and post-partum depression – is there a link? Asia Pac J Clin Nutr 12, Suppl., S37.Google Scholar
42Otto, SJ, de Groot, RHM & Hornstra, G (2003) Increased risk of postpartum depressive symptoms is associated with slower normalization after pregnancy of the functional docosahexaenoic acid status. Prostaglandins Leukot Essent Fatty Acids 69, 237243.CrossRefGoogle ScholarPubMed
43Browne, JC, Scott, KM & Silvers, KM (2006) Fish consumption in pregnancy and omega-3 status after birth are not associated with postnatal depression. J Affect Disord 90, 131139.Google Scholar
44Miyake, Y, Sasaki, S, Yokoyama, T, et al. . (2006) Risk of postpartum depression in relation to dietary fish and fat intake in Japan: the Osaka Maternal and Child Health Study. Psychol Med 36, 17271735.Google Scholar
45Llorente, AM, Jensen, CL, Voigt, RG, et al. . (2003) Effect of maternal docosahexaenoic acid supplementation on postpartum depression and information processing. Am J Obstet Gynecol 188, 13481353.Google Scholar
46Doornbos, B, van Goor, SA, Dijck-Brouwer, DAJ, et al. . (2009) Supplementation of a low dose of DHA or DHA+AA does not prevent peripartum depressive symptoms in a small population based sample. Prog Neuropsychopharmacol Biol Psychiatry 33, 4952.CrossRefGoogle ScholarPubMed
47Mattes, E, McCarthy, S, Gong, G, et al. . (2009) Maternal mood scores in mid-pregnancy are related to aspects of neonatal immune function. Brain Behav Immun 23, 380388.Google Scholar
48Freeman, MP, Davis, M, Sinha, P, et al. . (2008) Omega-3 fatty acids and supportive psychotherapy for perinatal depression: a randomized placebo-controlled study. J Affect Disord 110, 142148.Google Scholar
49Rees, A-M, Austin, M-P & Parker, GB (2008) Omega-3 fatty acids as a treatment for perinatal depression: randomized double-blind placebo-controlled trial. Aust N Z J Psychiatry 42, 199205.Google Scholar
50Makrides, M, Gibson, RA, McPhee, AJ, et al. . (2010) Effect of DHA supplementation during pregnancy on maternal depression and neurodevelopment of young children: a randomized controlled trial. JAMA 304, 16751683.CrossRefGoogle ScholarPubMed
51Su, K-P, Huang, S-Y, Chiu, T-H, et al. . (2008) Omega-3 fatty acids for major depressive disorder during pregnancy: results from a randomized, double-blind, placebo-controlled trial. J Clin Psychiatry 69, 644651.Google Scholar
52Freeman, MP, Hibbeln, JR, Wisner, KL, et al. . (2006) Randomized dose-ranging pilot trial of omega-3 fatty acids for postpartum depression. Acta Psychiatr Scand 113, 3135.Google Scholar
53Jans, LAW, Giltay, EJ & Van der Does, AJW (2010) The efficacy of n-3 fatty acids DHA and EPA (fish oil) for perinatal depression. Br J Nutr 104, 15771585.Google Scholar
54Smulders, YM & Blom, HJ (2011) The homocysteine controversy. J Inherit Metab Dis 34, 9399.Google Scholar
55Beydoun, MA, Shroff, MR, Beydoun, HA, et al. . (2010) Serum folate, vitamin B-12, and homocysteine and their association with depressive symptoms among U.S. adults. Psychosom Med 72, 862873.Google Scholar
56Malouf, R & Grimley Evans, J (2003) The effect of vitamin B6 on cognition. The Cochrane Database of Systematic Reviews 2003, issue 4, CD004393. http://www.mrw.interscience.wiley.com/cochrane/clsysrev/articles/CD004393/frame.html.CrossRefGoogle Scholar
57Robinson, D, O'Luanaigh, C, Tehee, E, et al. . (2011) Associations between holotranscobalamin, vitamin B12, homocysteine and depressive symptoms in community-dwelling elders. Intl J Geriatr Psychiatry 26, 307313.Google Scholar
58Skarupski, KA, Tangney, C, Li, H, et al. . (2010) Longitudinal association of vitamin B-6, folate, and vitamin B-12 with depressive symptoms among older adults over time. Am J Clin Nutr 92, 330335.Google Scholar
59Tiemeier, H, van Tuijl, HR, Hofman, A, et al. . (2002) Vitamin B12, folate, and homocysteine in depression: the Rotterdam Study. Am J Psychiatry 159, 20992101.Google Scholar
60Murakami, K, Miyake, Y, Sasaki, S, et al. . (2010) Dietary folate, riboflavin, vitamin B-6, and vitamin B-12 and depressive symptoms in early adolescence: the Ryukyus Child Health Study. Psychosom Med 72, 763768.Google Scholar
61Almeida, OP, Marsh, K, Alfonso, H, et al. . (2010) B-vitamins reduce the long-term risk of depression after stroke: The VITATOPS-DEP trial. Ann Neurol 68, 503510.Google Scholar
62Fava, M & Mischoulon, D (2009) Folate in depression: efficacy, safety, differences in formulations, and clinical issues. J Clin Psychiatry 70, Suppl. 5, 1217.CrossRefGoogle Scholar
63Ford, AH, Flicker, L, Thomas, J, et al. . (2008) Vitamins B12, B6, and folic acid for onset of depressive symptoms in older men: results from a 2-year placebo-controlled randomized trial. J Clin Psychiatry 69, 12031209.Google Scholar
64Miyake, Y, Sasaki, S, Tanaka, K, et al. . (2006) Dietary folate and vitamins B12, B6, and B2 intake and the risk of postpartum depression in Japan: the Osaka Maternal and Child Health Study. J Affect Disord 96, 133138.CrossRefGoogle ScholarPubMed
65Rouillon, F, Thalassinos, M, Miller, HD, et al. . (1992) Folates and post partum depression. J Affect Disord 25, 235241.Google Scholar
66Kesby, JP, Eyles, DW, Burne, THJ, et al. . (2011) The effects of vitamin D on brain development and adult brain function. Mol Cell Endocrinol 347, 121127.Google Scholar
67Borges, MC, Martini, LA & Rogero, MM (2011) Current perspectives on vitamin D, immune system, and chronic diseases. Nutrition 27, 399404.CrossRefGoogle ScholarPubMed
68Garcion, E, Wion-Barbot, N, Montero-Menei, CN, et al. . (2002) New clues about vitamin D functions in the nervous system. Trends Endocrinol Metab 13, 100105.Google Scholar
69Obradovic, D, Gronemeyer, H, Lutz, B, et al. . (2006) Cross-talk of vitamin D and glucocorticoids in hippocampal cells. J Neurochem 96, 500509.Google Scholar
70Lee, DM, Tajar, A, O'Neill, TW, et al. . (2011) Lower vitamin D levels are associated with depression among community-dwelling European men. J Psychopharmacol 25, 13201328.Google Scholar
71Hoogendijk, WJG, Lips, P, Dik, MG, et al. . (2008) Depression is associated with decreased 25-hydroxyvitamin D and increased parathyroid hormone levels in older adults. Arch Gen Psychiatry 65, 508512.Google Scholar
72Jorde, R, Waterloo, K, Saleh, F, et al. . (2006) Neuropsychological function in relation to serum parathyroid hormone and serum 25-hydroxyvitamin D levels. The Tromsø study. J Neurol 253, 464470.Google Scholar
73Pan, A, Lu, L, Franco, OH, et al. . (2009) Association between depressive symptoms and 25-hydroxyvitamin D in middle-aged and elderly Chinese. J Affect Disord 118, 240243.Google Scholar
74Eskandari, F, Martinez, PE, Torvik, S, et al. . (2007) Low bone mass in premenopausal women with depression. Arch Intern Med 167, 23292336.Google Scholar
75Wilkins, CH, Sheline, YI, Roe, CM, et al. . (2006) Vitamin D deficiency is associated with low mood and worse cognitive performance in older adults. Am J Geriatr Psychiatry 14, 10321040.Google Scholar
76Schneider, B, Weber, B, Frensch, A, et al. . (2000) Vitamin D in schizophrenia, major depression and alcoholism. J Neural Transm 107, 839842.Google Scholar
77Herrán, A, Amado, JA, García-Unzueta, MT, et al. . (2000) Increased bone remodeling in first-episode major depressive disorder. Psychosom Med 62, 779782.CrossRefGoogle ScholarPubMed
78Michelson, D, Stratakis, C, Hill, L, et al. . (1996) Bone mineral density in women with depression. N Engl J Med 335, 11761181.Google Scholar
79Jorde, R, Sneve, M, Figenschau, Y, et al. . (2008) Effects of vitamin D supplementation on symptoms of depression in overweight and obese subjects: randomized double blind trial. J Intern Med 264, 599609.Google Scholar
80Sanders, KM, Stuart, AL, Williamson, EJ, et al. . (2011) Annual high-dose vitamin D3 and mental well-being: randomised controlled trial. Br J Psychiatry 198, 357364.CrossRefGoogle ScholarPubMed
81Parker, G & Brotchie, H (2011) ‘D’ for depression: any role for vitamin D? ‘Food for Thought’ II. Acta Psychiatr Scand 124, 243249.Google Scholar
82Bertone-Johnson, ER (2009) Vitamin D and the occurrence of depression: causal association or circumstantial evidence? Nutr Rev 67, 481492.CrossRefGoogle ScholarPubMed
83Fairweather-Tait, SJ, Bao, Y, Broadley, MR, et al. . (2011) Selenium in human health and disease. Antioxid Redox Signal 14, 13371383.Google Scholar
84Maret, W & Sandstead, HH (2006) Zinc requirements and the risks and benefits of zinc supplementation. J Trace Elem Med Biol 20, 318.Google Scholar
85Prasad, AS (2009) Zinc: role in immunity, oxidative stress and chronic inflammation. Curr Opin Clin Nutr Metab Care 12, 646652.Google Scholar
86Ibs, K-H & Rink, L (2003) Zinc-altered immune function. J Nutr 133, 1452S1456S.Google Scholar
87Prasad, AS, Beck, FWJ, Bao, B, et al. . (2008) Duration and severity of symptoms and levels of plasma interleukin-1 receptor antagonist, soluble tumor necrosis factor receptor, and adhesion molecules in patients with common cold treated with zinc acetate. J Infect Dis 197, 795802.Google Scholar
88Beck, FW, Prasad, AS, Kaplan, J, et al. . (1997) Changes in cytokine production and T cell subpopulations in experimentally induced zinc-deficient humans. Am J Physiol 272, E1002E1007.Google Scholar
89Fraker, PJ & King, LE (2004) Reprogramming of the immune system during zinc deficiency. Annu Rev Nutr 24, 277298.Google Scholar
90Duntas, LH (2009) Selenium and inflammation: underlying anti-inflammatory mechanisms. Horm Metab Res 41, 443447.Google Scholar
91Kiremidjian-Schumacher, L, Roy, M, Wishe, HI, et al. . (1994) Supplementation with selenium and human immune cell functions: effect on cytotoxic lymphocytes and natural killer cells. Biol Trace Elem Res 41, 115127.Google Scholar
92Hoffmann, PR & Berry, MJ (2008) The influence of selenium on immune responses. Mol Nutr Food Res 52, 12731280.Google Scholar
93Broome, CS, McArdle, F, Kyle, JAM, et al. . (2004) An increase in selenium intake improves immune function and poliovirus handling in adults with marginal selenium status. Am J Clin Nutr 80, 154162.Google Scholar
94Raucci, R, Colonna, G, Guerriero, E, et al. . (2011) Structural and functional studies of the human selenium binding protein-1 and its involvement in hepatocellular carcinoma. Biochim Biophys Acta 1814, 513522.Google Scholar
95Sanmartín, C, Plano, D, Font, M, et al. . (2011) Kinase regulation by sulfur and selenium containing compounds. Curr Cancer Drug Targets 11, 496523.Google Scholar
96Yang, H, Fang, J, Jia, X, et al. . (2011) Chemopreventive effects of early-stage and late-stage supplementation of vitamin E and selenium on esophageal carcinogenesis in rats maintained on a low vitamin E/selenium diet. Carcinogenesis 32, 381388.Google Scholar
97Brozmanová, J, Mániková, D, Vlčková, V, et al. . (2010) Selenium: a double-edged sword for defense and offence in cancer. Arch Toxicol 84, 919938.Google Scholar
98Jensen, JD, Wing, GJ & Dellavalle, RP (2010) Nutrition and melanoma prevention. Clin Dermatol 28, 644649.Google Scholar
99Sawada, T & Yokoi, K (2010) Effect of zinc supplementation on mood states in young women: a pilot study. Eur J Clin Nutr 64, 331333.Google Scholar
100Maes, M, D'Haese, PC, Scharpé, S, et al. . (1994) Hypozincemia in depression. J Affect Disord 31, 135140.CrossRefGoogle ScholarPubMed
101Marcellini, F, Giuli, C, Papa, R, et al. . (2006) Zinc status, psychological and nutritional assessment in old people recruited in five European countries: Zincage study. Biogerontology 7, 339345.Google Scholar
102DiGirolamo, AM & Ramirez-Zea, M (2009) Role of zinc in maternal and child mental health. Am J Clin Nutr 89, 940S945S.Google Scholar
103Nowak, G, Siwek, M, Dudek, D, et al. . (2003) Effect of zinc supplementation on antidepressant therapy in unipolar depression: a preliminary placebo-controlled study. Pol J Pharmacol 55, 11431147.Google Scholar
104Szewczyk, B, Poleszak, E, Sowa-Kućma, M, et al. . (2008) Antidepressant activity of zinc and magnesium in view of the current hypotheses of antidepressant action. Pharmacol Rep 60, 588589.Google Scholar
105Tae, WS, Kim, SS, Lee, KU, et al. . (2011) Hippocampal shape deformation in female patients with unremitting major depressive disorder. Am J Neuroradiol 32, 671676.Google Scholar
106Benton, D & Cook, R (1991) The impact of selenium supplementation on mood. Biol Psychiatry 29, 10921098.Google Scholar
107Hawkes, WC & Hornbostel, L (1996) Effects of dietary selenium on mood in healthy men living in a metabolic research unit. Biol Psychiatry 39, 121128.Google Scholar
108Finley, J & Penland, J (1998) Adequacy or deprivation of dietary selenium in healthy men. J Trace Elem Exp Med 11, 1127.Google Scholar
109Rayman, M, Thompson, A, Warren-Perry, M, et al. . (2006) Impact of selenium on mood and quality of life: a randomized, controlled trial. Biol Psychiatry 59, 147154.CrossRefGoogle ScholarPubMed
110Sher, L (2001) Role of thyroid hormones in the effects of selenium on mood, behavior, and cognitive function. Med Hypotheses 57, 480483.Google Scholar
111Castaño, A, Ayala, A, Rodríguez-Gómez, JA, et al. . (1997) Low selenium diet increases the dopamine turnover in prefrontal cortex of the rat. Neurochem Int 30, 549555.Google Scholar
112Wójcik, J, Dudek, D, Schlegel-Zawadzka, M, et al. . (2006) Antepartum/postpartum depressive symptoms and serum zinc and magnesium levels. Pharmacol Rep 58, 571576.Google Scholar
113Maes, M, Vandoolaeghe, E, Neels, H, et al. . (1997) Lower serum zinc in major depression is a sensitive marker of treatment resistance and of the immune/inflammatory response in that illness. Biol Psychiatry 42, 349358.CrossRefGoogle ScholarPubMed
114Mokhber, N, Namjoo, M, Tara, F, et al. . (2011) Effect of supplementation with selenium on postpartum depression: a randomized double-blind placebo-controlled trial. J Matern Fetal Neonatal Med 24, 104108.Google Scholar
115Cheatham, CL, Nerhammer, AS, Asserhøj, M, et al. . (2011) Fish oil supplementation during lactation: effects on cognition and behavior at 7 years of age. Lipids 46, 637645.Google Scholar
116Duncan, A, Talwar, D, McMillan, DC, et al. . (2012) Quantitative data on the magnitude of the systemic inflammatory response and its effect on micronutrient status based on plasma measurements. Am J Clin Nutr 95, 6471.CrossRefGoogle ScholarPubMed
117Lucas, M, Asselin, G, Mérette, C, et al. . (2009) Validation of an FFQ for evaluation of EPA and DHA intake. Public Health Nutr 12, 17831790.Google Scholar
118Andersen, LF, Solvoll, K & Drevon, CA (1996) Very-long-chain n-3 fatty acids as biomarkers for intake of fish and n-3 fatty acid concentrates. Am J Clin Nutr 64, 305311.Google Scholar
119Cox, JL, Holden, JM & Sagovsky, R (1987) Detection of postnatal depression: development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry 150, 782786.Google Scholar
120Beck, CT & Gable, RK (2000) Postpartum Depression Screening Scale: development and psychometric testing. Nurs Res 49, 272282.CrossRefGoogle ScholarPubMed
121Strøm, M, Mortensen, EL, Halldorsson, TI, et al. . (2009) Fish and long-chain n-3 polyunsaturated fatty acid intakes during pregnancy and risk of postpartum depression: a prospective study based on a large national birth cohort. Am J Clin Nutr 90, 149155.Google Scholar
122Freeman, MP (2009) Omega-3 fatty acids in major depressive disorder. J Clin Psychiatry 70, Suppl. 5, 711.Google Scholar
123Kendall-Tackett, K (2010) Long-chain omega-3 fatty acids and women's mental health in the perinatal period and beyond. J Midwifery Womens Health 55, 561567.Google Scholar
124Leung, BMY & Kaplan, BJ (2009) Perinatal depression: prevalence, risks, and the nutrition link – a review of the literature. J Am Diet Assoc 109, 15661575.Google Scholar
125Turner, KM, Sharp, D, Folkes, L, et al. . (2008) Women's views and experiences of antidepressants as a treatment for postnatal depression: a qualitative study. Fam Pract 25, 450455.Google Scholar
Figure 0

Table 1 Observational studies of the relationship between n-3 PUFA and postpartum depression

Figure 1

Table 2 Treatment studies of the relationship between n-3 PUFA and postpartum depression