Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-05T00:49:17.916Z Has data issue: false hasContentIssue false

Iron deficiency and internalizing symptom severity in unmedicated adolescents: a pilot study

Published online by Cambridge University Press:  16 December 2021

Malak Abbas
Affiliation:
The Rockefeller University, New York, NY 10065, USA
Kellen Gandy
Affiliation:
St. Jude Children's Research Hospital, Houston, Texas 77027, USA
Ramiro Salas
Affiliation:
Baylor College of Medicine – Center for Translational Research on Inflammatory Diseases, Michael E DeBakey VA Medical Center, Houston, Texas 77030, USA
Sridevi Devaraj
Affiliation:
Baylor College of Medicine, Houston, Texas 77030, USA
Chadi A. Calarge*
Affiliation:
Baylor College of Medicine – The Menninger Department of Psychiatry and Behavioral Sciences, 1102 Bates Ave, Suite 790, Houston, Texas 77030, USA
*
Author for correspondence: Chadi A. Calarge, E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

Iron plays a key role in a broad set of metabolic processes. Iron deficiency is the most common nutritional deficiency in the world, but its neuropsychiatric implications in adolescents have not been examined.

Methods

Twelve- to 17-year-old unmedicated females with major depressive or anxiety disorders or with no psychopathology underwent a comprehensive psychiatric assessment for this pilot study. A T1-weighted magnetic resonance imaging scan was obtained, segmented using Freesurfer. Serum ferritin concentration (sF) was measured. Correlational analyses examined the association between body iron stores, psychiatric symptom severity, and basal ganglia volumes, accounting for confounding variables.

Results

Forty females were enrolled, 73% having a major depressive and/or anxiety disorder, 35% with sF < 15 ng/mL, and 50% with sF < 20 ng/mL. Serum ferritin was inversely correlated with both anxiety and depressive symptom severity (r = −0.34, p < 0.04 and r = −0.30, p < 0.06, respectively). Participants with sF < 15 ng/mL exhibited more severe depressive and anxiety symptoms as did those with sF < 20 ng/mL. Moreover, after adjusting for age and total intracranial volume, sF was inversely associated with left caudate (Spearman's r = −0.46, p < 0.04), left putamen (r = −0.58, p < 0.005), and right putamen (r = −0.53, p < 0.01) volume.

Conclusions

Brain iron may become depleted at a sF concentration higher than the established threshold to diagnose iron deficiency (i.e. 15 ng/mL), potentially disrupting brain maturation and contributing to the emergence of internalizing disorders in adolescents.

Type
Original Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Background

Iron deficiency is the most common nutritional deficiency in the world (CDC, 2002; Looker, Cogswell, & Gunter, Reference Looker, Cogswell and Gunter2002). After initially decreasing with the introduction of food enrichment in the United States, the prevalence of iron deficiency has resurged, particularly among certain age, sex, and racial/ethnic groups (Gupta, Hamner, Suchdev, Flores-Ayala, & Mei, Reference Gupta, Hamner, Suchdev, Flores-Ayala and Mei2017; Looker et al., Reference Looker, Cogswell and Gunter2002; Sun & Weaver, Reference Sun and Weaver2021). For instance, between the 1988–1994 and the 1999–2000 NHANES survey, the prevalence of iron deficiency increased from about 1% to 5% in 12- to 15-year-old males. Moreover, while the prevalence of iron deficiency ranges between 9% and 16% in 12- to 19-year-old females, it is nearly twice as prevalent in non-Hispanic Black and Mexican American females compared to their non-Hispanic White counterparts (Gupta et al., Reference Gupta, Hamner, Suchdev, Flores-Ayala and Mei2017; Looker et al., Reference Looker, Cogswell and Gunter2002; WHO, 2001).

Iron deficiency may have significant implications for mental health. Iron is an essential micronutrient, involved in oxygen transport, cellular respiration, and DNA synthesis (Beard & Connor, Reference Beard and Connor2003; Youdim, Reference Youdim2008). The main mechanism for the brain to uptake iron primarily involves endocytosis of transferrin bound to its receptor (TfR1), with a significant contribution by the divalent metal transporter 1 (DMT1) (Rouault & Cooperman, Reference Rouault and Cooperman2006; Wade, Chiou, & Connor, Reference Wade, Chiou and Connor2019). Ferritin can also be directly transported across the blood-brain barrier (BBB) (Wade et al., Reference Wade, Chiou and Connor2019). Oligodendrocytes have both a high content and utilization rate of iron (Moller et al., Reference Moller, Bossoni, Connor, Crichton, Does, Ward and Ronen2019). In contrast, while neurons have a high iron requirement, they have little capacity to store it (Connor & Menzies, Reference Connor and Menzies1996), making them particularly vulnerable to iron deficiency. Additionally, brain iron content differs by anatomical region and age, with the basal ganglia and red nucleus containing the most iron, while the cortical gray and white matter have low iron content (Haacke et al., Reference Haacke, Cheng, House, Liu, Neelavalli, Ogg and Obenaus2005; Hallgren & Sourander, Reference Hallgren and Sourander1958). This distribution, already apparent in childhood and adolescence (Peterson et al., Reference Peterson, Kwon, Luna, Larsen, Prouty, De Bellis and Pfefferbaum2019), accentuates with age (Sedlacik et al., Reference Sedlacik, Boelmans, Lobel, Holst, Siemonsen and Fiehler2014).

Mechanistic studies have implicated iron deficiency in monoaminergic signaling impairment, partially mediated by the fact that iron is a cofactor for tyrosine hydroxylase (Anderson et al., Reference Anderson, Fordahl, Cooney, Weaver, Colyer and Erikson2009; Baumgartner et al., Reference Baumgartner, Smuts, Malan, Arnold, Yee, Bianco and Zimmermann2012a, Reference Baumgartner, Smuts, Malan, Arnold, Yee, Bianco and Zimmermann2012b; Baumgartner, Smuts, & Zimmermann, Reference Baumgartner, Smuts and Zimmermann2014; Beard, Erikson, & Jones, Reference Beard, Erikson and Jones2002; Burhans et al., Reference Burhans, Dailey, Beard, Wiesinger, Murray-Kolb, Jones and Beard2005; Coe, Lubach, Bianco, & Beard, Reference Coe, Lubach, Bianco and Beard2009; Jellen et al., Reference Jellen, Lu, Wang, Unger, Earley, Allen and Jones2013). Iron deficiency is associated with alterations in the expression of dopamine-related genes and decreased density of dopamine transporters and dopamine D1 and D2 receptors in the basal ganglia (Beard, Chen, Connor, & Jones, Reference Beard, Chen, Connor and Jones1994; Burhans et al., Reference Burhans, Dailey, Beard, Wiesinger, Murray-Kolb, Jones and Beard2005; Erikson, Jones, & Beard, Reference Erikson, Jones and Beard2000; Erikson, Jones, Hess, Zhang, & Beard, Reference Erikson, Jones, Hess, Zhang and Beard2001; Jellen et al., Reference Jellen, Lu, Wang, Unger, Earley, Allen and Jones2013; Nelson, Erikson, Pinero, & Beard, Reference Nelson, Erikson, Pinero and Beard1997; Pino et al., Reference Pino, da Luz, Antunes, Giampa, Martins and Lee2017). Iron deficiency is also associated with disrupted serotoninergic and noradrenergic function as well as with impaired total mitochondrial oxidative capacity at the beginning of peak dendritic growth (Bastian, von Hohenberg, Georgieff, & Lanier, Reference Bastian, von Hohenberg, Georgieff and Lanier2019; Baumgartner et al., Reference Baumgartner, Smuts, Malan, Arnold, Yee, Bianco and Zimmermann2012a, Reference Baumgartner, Smuts, Malan, Arnold, Yee, Bianco and Zimmermann2012b, Reference Baumgartner, Smuts and Zimmermann2014; Mohamed, Unger, Kambhampati, & Jones, Reference Mohamed, Unger, Kambhampati and Jones2011). These abnormalities result in cognitive and behavioral deficits, including inattention and anxiety-like behaviors (Beard et al., Reference Beard, Chen, Connor and Jones1994, Reference Beard, Erikson and Jones2002; Carlson, Stead, Neal, Petryk, & Georgieff, Reference Carlson, Stead, Neal, Petryk and Georgieff2007; Fretham et al., Reference Fretham, Carlson, Wobken, Tran, Petryk and Georgieff2012; Golub, Hogrefe, & Germann, Reference Golub, Hogrefe and Germann2007; Kennedy et al., Reference Kennedy, Dimova, Siddappa, Tran, Gewirtz and Georgieff2014; Mohamed et al., Reference Mohamed, Unger, Kambhampati and Jones2011; Schmidt, Waldow, Grove, Salinas, & Georgieff, Reference Schmidt, Waldow, Grove, Salinas and Georgieff2007; Tran et al., Reference Tran, Kennedy, Pisansky, Won, Gewirtz, Simmons and Georgieff2016).

Consistent with these preclinical findings, low body iron has been associated with attention-deficit hyperactivity disorder (ADHD) and several observational and intervention studies in women of reproductive age have implicated iron deficiency in depressive symptoms (Beard et al., Reference Beard, Hendricks, Perez, Murray-Kolb, Berg, Vernon-Feagans and Tomlinson2005; Corwin, Murray-Kolb, & Beard, Reference Corwin, Murray-Kolb and Beard2003; Fordy & Benton, Reference Fordy and Benton1994; Karl et al., Reference Karl, Lieberman, Cable, Williams, Young and McClung2010; Low, Speedy, Styles, De-Regil, & Pasricha, Reference Low, Speedy, Styles, De-Regil and Pasricha2016; Rangan, Blight, & Binns, Reference Rangan, Blight and Binns1998; Vahdat Shariatpanaahi, Vahdat Shariatpanaahi, Moshtaaghi, Shahbaazi, & Abadi, Reference Vahdat Shariatpanaahi, Vahdat Shariatpanaahi, Moshtaaghi, Shahbaazi and Abadi2007). Surprisingly, however, little research has examined the association of iron deficiency with internalizing (i.e. depressive and anxiety) symptoms in school-aged children and adolescents (Matsuo et al., Reference Matsuo, Rosenberg, Easter, MacMaster, Chen, Nicoletti and Soares2008; Vulser et al., Reference Vulser, Lemaitre, Artiges, Miranda, Penttilä, Struve and Paillère-Martinot2015). One retrospective Japanese study in 6- to 15-year-old children with serum ferritin concentration (sF) <50 ng/mL, referred for a child and adolescent psychiatric evaluation, found iron supplementation effective at increasing sF and reducing psychiatric symptoms (Mikami et al., Reference Mikami, Okazawa, Kimoto, Akama, Onishi, Takahashi and Matsumoto2019). Two randomized double-blind placebo-controlled iron supplementation studies in adolescent females examining cognitive outcomes reached divergent conclusions, with only one reporting an improvement in ‘mood, lassitude, and concentration’ following replenishment of iron stores (Ballin et al., Reference Ballin, Berar, Rubinstein, Kleter, Hershkovitz and Meytes1992; Bruner, Joffe, Duggan, Casella, & Brandt, Reference Bruner, Joffe, Duggan, Casella and Brandt1996). Finally, one study utilized the Taiwanese national health insurance database, finding that iron deficiency anemia was associated with more than twofold increased risk for depressive or anxiety disorders, compared to those without anemia (Chen et al., Reference Chen, Su, Chen, Hsu, Huang, Chang and Bai2013).

Importantly, anemia (regardless of its etiology) is known to be associated with irritability, apathy, fatigue, low mood, and concentration difficulties (Murray-Kolb, Reference Murray-Kolb2011), complaints that overlap with internalizing symptoms, making it necessary to characterize the psychiatric effects of iron deficiency in the absence of anemia.

In this pilot study, we examined the prevalence and clinical correlates of iron deficiency in adolescent girls with and without anxiety or depressive disorders, who were otherwise healthy. We hypothesized that iron deficiency would be associated with more severe internalizing symptoms. Given that altered basal ganglia morphometry, metabolism, and perfusion have been implicated in internalizing disorders (Bastian et al., Reference Bastian, von Hohenberg, Georgieff and Lanier2019; Beard et al., Reference Beard, Chen, Connor and Jones1994; Bourre et al., Reference Bourre, Pascal, Durand, Masson, Dumont and Piciotti1984; Cammer, Reference Cammer1984a; Connor & Menzies, Reference Connor and Menzies1996; Matsuo et al., Reference Matsuo, Rosenberg, Easter, MacMaster, Chen, Nicoletti and Soares2008; Tansey & Cammer, Reference Tansey and Cammer1988; Vulser et al., Reference Vulser, Lemaitre, Artiges, Miranda, Penttilä, Struve and Paillère-Martinot2015) and that these structures are key nodes in the fronto-subcortical neural circuits, underlying various processes relevant to mood regulation (Williams, Reference Williams2016) and because iron deficiency disrupts neurotransmitter signaling in the basal ganglia (Baumgartner et al., Reference Baumgartner, Smuts, Malan, Arnold, Yee, Bianco and Zimmermann2012a, Reference Baumgartner, Smuts, Malan, Arnold, Yee, Bianco and Zimmermann2012b, Reference Baumgartner, Smuts and Zimmermann2014), we further sought to examine the association between iron deficiency and basal ganglia volumes.

Methods

Participants

This analysis used data collected in the context of two studies, with the first participant enrolled on 02/12/2016. Both enrolled participants with the same demographic and clinical characteristics, with one focused on examining gut permeability in major depressive disorder (MDD) (Calarge, Devaraj, & Shulman, Reference Calarge, Devaraj and Shulman2019), while the other focused on brain imaging (Calarge et al., Reference Calarge, Gandy, Barba Villalobos, Nguyen, Kim and Maletic-Savatic2017). In both studies, 12- to 17-year-old unmedicated females with MDD, anxiety disorders (i.e. separation anxiety disorder, generalized anxiety disorder, or social phobia), or with no psychiatric disorders (i.e. healthy controls) were enrolled from general pediatrics clinics if they had a normal body mass index (BMI, i.e. between the 5th and 85th percentile for age and sex). The presence of bipolar disorder, autistic disorder, schizophrenia, obsessive-compulsive disorder, ADHD, and/or eating disorder led to exclusion. Additional exclusionary criteria included the presence of intellectual disability or language barrier due to inability to complete study procedures, treatment with psychotropics within 6 months before study entry, and presence of a serious general medical condition (e.g. involving a vital organ) or pregnancy. Individuals exposed to major traumatic events (e.g. death of loved ones, natural disaster, etc.) in the prior 6 months were also excluded (Calarge et al., Reference Calarge, Devaraj and Shulman2019). Furthermore, the use of non-steroidal anti-inflammatory drugs or medications for seasonal allergies or asthma in the prior week, of pre/probiotics in the prior 6 weeks, or of antibiotics in the prior 6 months; or a major change in diet (e.g. switching to vegetarian or excluding a food group, like eggs or dairy products) in the prior 6 weeks or the presence of functional gastrointestinal disorders all led to exclusion from the first study, as these factors may alter gut permeability. Participants wearing braces or having any contraindication for undergoing magnetic resonance imaging (MRI) were excluded from the brain imaging study.

The study was approved by the Baylor College of Medicine Institutional Review Board. After the study details were reviewed, written consent was obtained from parents or legal guardians and verbal assent from the participants.

Procedures

A board-certified child and adolescent psychiatrist conducted an unstructured interview with the adolescent and parent. The MINI International Psychiatric Interview V6.0, a structured clinical interview based on the fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) (American Psychiatric Association, 2013), was administered to the parent by trained research staff. Also, the participants completed the Center for Epidemiological Studies Depression Scale for Children (CESD-C) and the Screen for Child Anxiety-Related Disorders (SCARED), both well-validated and widely used measures of depressive and anxiety symptoms, respectively (Birmaher et al., Reference Birmaher, Brent, Chiappetta, Bridge, Monga and Baugher1999, Reference Birmaher, Khetarpal, Brent, Cully, Balach, Kaufman and Neer1997; Faulstich, Carey, Ruggiero, Enyart, & Gresham, Reference Faulstich, Carey, Ruggiero, Enyart and Gresham1986; Weissman, Orvaschel, & Padian, Reference Weissman, Orvaschel and Padian1980). Best-estimate DSM-5-based diagnoses were generated, using all available clinical information.

Race and ethnicity were self-reported. The parents also reported their household income and educational level. Participants rated their sexual maturity using a validated form (Calarge, Acion, Kuperman, Tansey, & Schlechte, Reference Calarge, Acion, Kuperman, Tansey and Schlechte2009; Calarge, Mills, Ziegler, & Schlechte, Reference Calarge, Mills, Ziegler and Schlechte2018). When applicable, they also noted the first day of their last menstrual period, the typical duration of their cycle, and the average number of sanitary pads used per day, during their menses. Participants 13 years of age and older were also queried about the use of hormonal contraception. The parents completed a questionnaire about birth history, including prenatal care, in-utero prescribed or illicit drug exposure, and pre/perinatal complications. The parents were also asked to rate their confidence level in the information recalled. Additionally, medical records were reviewed, since birth when available, to extract information related to body iron status (i.e. hemoglobin and history of anemia or transfusion).

Height was measured to the nearest 0.1 cm with a wall-mounted stadiometer (Ayrton Model S100, Hamburg, Germany) and weight was recorded to the nearest 0.1 kg (Seca 220 digital scale, Hamburg, Germany) with participants in indoor clothes without shoes. These measurements were obtained in duplicate, and the average was used.

The 2004 Block Food Frequency Questionnaire (FFQ) for Ages 8–17 was completed by the participants, with parents assisting as needed (D'Occhio, Fordyce, Whyte, Aspden, & Trigg, Reference D'Occhio, Fordyce, Whyte, Aspden and Trigg2000). The FFQ includes 77 food items, developed based on the NHANES 1999–2002 dietary recall data. The nutrient database was developed from the USDA Nutrient Database for Dietary Studies, version 1.0. Individual portion size is asked, and pictures are provided to enhance the accuracy of quantification. When available, the FFQ allowed estimating daily iron intake. Poor iron intake was defined as an estimated daily intake <8 mg/day for 12- and 13-year-olds and <15 mg/day for older female participants (Trumbo, Schlicker, Yates, & Poos, Reference Trumbo, Schlicker, Yates and Poos2002).

Participants underwent a venous blood draw, in the morning, after at least a 9 h fast. Serum was used to measure sF (Immunoassay on Vitros 5600 Chemistry System, Ortho Clinical Diagnostics, Raritan, NJ, USA).

Brain imaging acquisition and segmentation

MRI of the brain was obtained using a 3 T Siemens PRISMA scanner equipped with a 64-channel head-neck coil. Anatomical imaging included a 3D MPRAGE T1-weighted scan sequence (TR/TI/TE = 2400/1000/2.24 ms, 0.8 mm isotropic resolution). The raw MRI data were inspected by a trained operator for scanner-related artifacts (including head motion) immediately following scan acquisition. T1-weighted MRI scans were preprocessed and analyzed using Freesurfer version 6.0 (http://surfer.nmr.mgh.harvard.edu), a brain imaging software designed to characterize the morphometric properties of the brain (Fischl et al., Reference Fischl, Salat, Busa, Albert, Dieterich, Haselgrove and Dale2002, Reference Fischl, Salat, van der Kouwe, Makris, Segonne, Quinn and Dale2004). Subcortical brain volumes were segmented based on the standardized Aseg atlas. For this study, we focused on basal ganglia volume including the putamen, globus pallidus, and the caudate (online Supplementary Fig.), given these structures' higher iron content and to minimize the risk for type 1 error (Haacke et al., Reference Haacke, Cheng, House, Liu, Neelavalli, Ogg and Obenaus2005; Hallgren & Sourander, Reference Hallgren and Sourander1958). Total intracranial volume was adjusted for in the analysis of these basal ganglia subregions.

Statistical analysis

BMI was computed as weight/height2 (kg/m2) and age-sex-specific BMI Z-scores were generated based on the 2000 Centers for Disease Control and Prevention normative data (Ogden et al., Reference Ogden, Kuczmarski, Flegal, Mei, Guo, Wei and Johnson2002). Following published guidelines, iron deficiency was defined as sF < 15 ng/mL (WHO, 2011). However, in light of evidence suggesting that such cutoff may be too conservative (Garcia-Casal et al., Reference Garcia-Casal, Pena-Rosas, Urrechaga, Escanero, Huo, Martinez and Lopez-Perez2018; Mast, Blinder, Gronowski, Chumley, & Scott, Reference Mast, Blinder, Gronowski, Chumley and Scott1998; North, Dallalio, Donath, Melink, & Means, Reference North, Dallalio, Donath, Melink and Means1997), we also examined the association of iron deficiency with outcomes of interest using the more liberal cutoff of 20 ng/mL.

Given the comorbidity between depressive and anxiety disorders, we computed an internalizing symptoms composite z-score capturing the symptoms severity on both the SCARED and CESD-C (Song, Lin, Ward, & Fine, Reference Song, Lin, Ward and Fine2013). Group differences between participants with and those without internalizing disorders were compared using the Wilcoxon rank-sum test for continuous variables and χ2 or Fisher's exact test for categorical variables. Multivariable regression analyses examined the associations between iron deficiency status and outcomes of interest (e.g. depression or anxiety symptom severity or basal ganglia volume), accounting for relevant confounders. Cohen's d effect size was computed (Cohen, Reference Cohen1988). Analyses used procedures from SAS version 9.4 for Windows (SAS Institute Inc, Cary, NC, USA).

Results

Participants

Table 1 summarizes the demographic and clinical characteristics of the 40 participants contributing data to this analysis. Although no significant differences in demographic characteristics between participants were found, participants with internalizing disorders tended to be older, and more likely to be Hispanic and post-menarchal. Although participants with internalizing disorders had lower sF and a numerically higher prevalence of iron deficiency (whether defined as sF < 15 or 20 ng/mL), these differences did not reach statistical significance (Table 1).

Table 1. Demographic and clinical characteristics of female adolescents (n = 40) with internalizing disorders v. healthy controls

Mean ± s.d., unless otherwise specified.

SCARED, Screen for Child Anxiety Related Disorders; CESD-C, Center for Epidemiological Studies Depression Scale for Children.

a BMI Z-score: age-sex-specific body mass index.

b Dietary data were available for only 15 participants with internalizing disorders and 6 healthy controls.

c Luteal phase was defined as within 14 days of the end of each participant's ‘average’ menstrual cycle length.

d Menorrhagia was defined as duration of menses of >7 days or use of >12 sanitary pads per day.

e Only participants ⩾13 years old (n = 35) were queried about hormonal contraceptives use.

Association between iron markers and internalizing symptoms

Serum ferritin concentration was inversely correlated with internalizing symptom severity as captured by the composite z-score (r = −0.36, p < 0.03), the SCARED (r = −0.34, p < 0.04), and the CESD-C (r = −0.30, p < 0.06). Notably, compared to those without iron deficiency (defined as sF < 20 ng/mL), participants with iron deficiency had significantly higher internalizing symptom composite z-score (z-score = 0.73 v. −0.73, respectively, Cohen's d = 0.82, p < 0.02) as well as higher scores on the SCARED (p < 0.002) and the CESD-C (p < 0.03) (Fig. 1A). Moreover, the magnitude of this association was even greater in participants with sF < 15 ng/mL compared to those with sF ⩾ 15 ng/mL (Cohen's d = 1.01, p < 0.005 for the composite z-score; d = 1.08 for the SCARED, p < 0.003; and d = 0.83 for the CESD-C, p < 0.02; Fig. 1B).

Fig. 1. (A) Least squares means for internalizing symptom severity in unmedicated adolescent females with sF < (ID+, blue) v. ⩾20 ng/mL (ID−, orange), adjusted for age. (B) Same comparison but between those with sF < (ID++, green) v. ⩾15 ng/mL (ID−−, purple).

Iron markers and basal ganglia morphology

Of the 24 participants who underwent brain imaging, 16 (67%) had an internalizing disorder and nine (38%) had sF < 15 ng/ml. Differences in demographic variables or in iron deficiency prevalence between participants with v. those without internalizing disorders were not statistically significant (all p values >0.05).

After adjusting for age and total intracranial volume, sF was inversely associated with the volume of the left caudate (Spearman's r = −0.46, p < 0.04, Table 2), left putamen (r = −0.58, p < 0.005), and the right putamen (r = −0.53, p < 0.01). Similarly, there was a statistical trend for the left putamen and caudate volumes to be larger in participants with iron deficiency, as defined by sF < 15 ng/mL (Fig. 2A). The effect sizes were somewhat smaller for the right basal ganglia structures, compared to the left (Fig. 2B).

Fig. 2. Cohen's d for the differences in least squares means for basal ganglia structures volumes in females with sF < (ID++, green) v. ⩾15 ng/mL (ID−−, purple), accounting for age and total intracranial volume.

Table 2. Least squares means for basal ganglia structures volumes (mL) in unmedicated female adolescents (n = 24) with iron deficiency v. those without, adjusted for age and intracranial volume

Discussion

To our knowledge, this pilot study is the first to examine the association between body iron stores, internalizing symptoms severity, and brain structure in unmedicated adolescent females, who have undergone a thorough psychiatric assessment. Body iron stores were inversely associated with more severe anxiety and depressive symptoms and positively associated with basal ganglia morphometry.

Iron deficiency and internalizing disorders in youth

Internalizing disorders in adolescents are common and impairing, with recent data suggesting increasing incidence (Twenge, Cooper, Joiner, Duffy, & Binau, Reference Twenge, Cooper, Joiner, Duffy and Binau2019). Many factors are likely implicated, given the heterogeneous nature of depressive and anxiety disorders. That iron deficiency would contribute to the recent change in the prevalence of internalizing disorders in adolescents is plausible for several reasons: (1) iron plays a critical role in the brain, potentially impacting the structure and function of mood-relevant areas, (2) iron deficiency is common in adolescence (CDC, 2002, 2014; Gupta et al., Reference Gupta, Hamner, Suchdev, Flores-Ayala and Mei2017; Looker et al., Reference Looker, Cogswell and Gunter2002), and (3) available evidence suggests that replenishing iron stores may improve internalizing symptoms (Mikami et al., Reference Mikami, Okazawa, Kimoto, Akama, Onishi, Takahashi and Matsumoto2019).

To our knowledge, however, the prevalence of iron deficiency in adolescents with internalizing disorders has not been examined. We found that 32% of our participants had sF < 15 ng/mL. This high prevalence of iron deficiency, which may be partially accounted for by the over-representation of Hispanic females in our study (Gupta et al., Reference Gupta, Hamner, Suchdev, Flores-Ayala and Mei2017; Looker et al., Reference Looker, Cogswell and Gunter2002; WHO, 2001), is particularly troubling given that our participants had undergone a thorough screening to rule out many general medical conditions that could cause iron deficiency. Moreover, the pre/perinatal history and the medical record review exclude the possibility that our findings represent chronic sequelae of early-life or concurrent anemia (online Supplementary Data). As such, to the best of our knowledge, our participants were healthy, had received good prenatal care, had not had perinatal anemia, but did have low iron intake despite coming from households with a median income nearly double the national average (Table 1). This low iron intake is consistent with recent data showing a trend for reduction in iron intake in the US population, with an associated increase in the prevalence of iron deficiency anemia. The large effect sizes we found for the association between iron deficiency and internalizing symptoms highlight the potential for replenishing iron stores to reverse the recently documented increase in the prevalence of depressive and anxiety disorders in adolescents (Mojtabai & Olfson, Reference Mojtabai and Olfson2020; Mojtabai, Olfson, & Han, Reference Mojtabai, Olfson and Han2016)

Brain iron homeostasis during iron deficiency

Understanding the interplay between iron deficiency and brain structure and function across the lifespan requires one to consider three inter-related factors: (1) iron transport into the brain, (2) hierarchy of iron distribution to bodily systems, and (3) how the presence of iron deficiency has been defined. Once the BBB matures during infancy, iron transport into the brain becomes tightly regulated, protecting it from daily fluctuations in systemic iron levels (Wade et al., Reference Wade, Chiou and Connor2019). Preclinical and clinical studies have established that iron is prioritized for erythropoiesis, for evident survival advantage. As the body is faced with insufficient iron intake to meet its needs, iron reserves are tapped in a relatively hierarchical order (e.g. liver, skeletal muscle, heart, etc.) and, with increasing iron deficiency severity, iron is eventually diverted even from the brain to the bone marrow (Ennis, Dahl, Rao, & Georgieff, Reference Ennis, Dahl, Rao and Georgieff2018; Guiang, Georgieff, Lambert, Schmidt, & Widness, Reference Guiang, Georgieff, Lambert, Schmidt and Widness1997; Zamora, Guiang, Widness, & Georgieff, Reference Zamora, Guiang, Widness and Georgieff2016). Finally, historically, iron deficiency has been the focus of public health interventions due to its association with anemia. Current guidelines to diagnose ID have been based on anemia-relevant markers, such as bone marrow iron content and sF below which anemia develops (WHO, 2011). They are not based on the assessments of brain iron content or the emergence of neuropsychiatric manifestations. Considering these three factors together, it thus follows that, compared to infants who may not benefit from the protective effect of the BBB yet, brain iron content in adolescents will only be impacted once a threshold (in terms of severity of body iron stores depletion) has been crossed. However, what severity of iron deficiency is needed to overcome the homeostatic mechanisms of the BBB, resulting in brain iron depletion, is unknown. What appears certain is that brain iron is drawn upon before anemia develops. This is supported by studies in adolescents and young adults with iron deficiency but without anemia finding improvement in neurocognitive and emotional functioning following iron supplementation (Ballin et al., Reference Ballin, Berar, Rubinstein, Kleter, Hershkovitz and Meytes1992; Beard et al., Reference Beard, Hendricks, Perez, Murray-Kolb, Berg, Vernon-Feagans and Tomlinson2005; Corwin et al., Reference Corwin, Murray-Kolb and Beard2003; Fordy & Benton, Reference Fordy and Benton1994; Karl et al., Reference Karl, Lieberman, Cable, Williams, Young and McClung2010; Low et al., Reference Low, Speedy, Styles, De-Regil and Pasricha2016; Rangan et al., Reference Rangan, Blight and Binns1998; Vahdat Shariatpanaahi et al., Reference Vahdat Shariatpanaahi, Vahdat Shariatpanaahi, Moshtaaghi, Shahbaazi and Abadi2007; Verdon et al., Reference Verdon, Burnand, Stubi, Bonard, Graff, Michaud and Favrat2003). This appears consistent with our findings both concerning internalizing symptom severity and subcortical structures volumes.

Notably, we found a larger association between internalizing symptom severity and iron deficiency (a categorical variable) compared to sF (a continuous variable). This is consistent with the BBB's role in protecting the brain from fluctuations in body iron until the homeostatic mechanisms are overwhelmed (Wade et al., Reference Wade, Chiou and Connor2019). When iron deficiency is defined more liberally, as sF < 20 ng/mL, the association with symptom severity remains significant, albeit of a smaller magnitude, suggesting that the cutoff for sF of <15 ng/mL to define iron deficiency may be overly conservative, having been established based on hematological outcomes without regard to the function of other organs, like the brain. In fact, for those participants with a hemoglobin level obtained within one year before study entry, anemia was quite uncommon with only one person affected (online Supplementary Data). In patients with restless leg syndrome, iron supplementation aims to raise sF > 50 ng/mL. However, the association between peripheral and brain iron content has not been well examined in general and not at all in adolescents. Identifying the threshold below which iron deficiency starts drawing on brain iron is an area that requires urgent attention, with potentially widespread clinical implications.

Iron deficiency and brain structure and function

Brain iron is also critical for myelin formation (Bastian et al., Reference Bastian, von Hohenberg, Georgieff and Lanier2019; Beard & Connor, Reference Beard and Connor2003; Lange & Que, Reference Lange and Que1998). Oligodendrocytes are enriched with iron-requiring enzymes involved in lipid metabolism, needed for initial myelin deposition as well as for maintaining its integrity (Bourre et al., Reference Bourre, Pascal, Durand, Masson, Dumont and Piciotti1984; Cammer, Reference Cammer1984a, Reference Cammer and Norton1984b; Connor & Menzies, Reference Connor and Menzies1996; Tansey & Cammer, Reference Tansey and Cammer1988). Two brain imaging studies have explored the association between brain iron content and brain function in children. Peterson et al. used data collected in healthy 12- to 21-year-olds, enrolled in the National Consortium on Alcohol and Neurodevelopment in Adolescence study (Peterson et al., Reference Peterson, Kwon, Luna, Larsen, Prouty, De Bellis and Pfefferbaum2019). They repurposed scans obtained for functional MRI and diffusion tensor imaging (DTI) to track brain iron distribution, replicating the fact that several subcortical nuclei are iron-rich, and that iron accumulates with increasing age but plateaus by early adulthood. Additionally, working memory speed was inversely associated with iron signal in the left dentate nucleus and substantia nigra (Peterson et al., Reference Peterson, Kwon, Luna, Larsen, Prouty, De Bellis and Pfefferbaum2019). Similarly, Carpenter et al. used brain imaging to estimate brain iron content in 39 healthy children (56% female, mean age 9.5 ± 1.3 years), finding again a positive association between age and iron content in the basal ganglia (Carpenter et al., Reference Carpenter, Li, Wei, Wu, Xiao, Liu and Egger2016). Moreover, the right caudate iron content was positively associated with spatial IQ (Carpenter et al., Reference Carpenter, Li, Wei, Wu, Xiao, Liu and Egger2016).

Using structural brain imaging, we found an inverse association between body iron status and the volumes of the putamen and the left caudate. The effect sizes were smaller for the right hemisphere structures, perhaps reflecting the lateralization in brain iron content observed in some studies (Langkammer et al., Reference Langkammer, Schweser, Krebs, Deistung, Goessler, Scheurer and Reichenbach2012; Xu, Wang, & Zhang, Reference Xu, Wang and Zhang2008). This inverse association may reflect the fact that brain iron moderates the decrease in subcortical structures volume observed during late childhood and adolescence (Raznahan et al., Reference Raznahan, Shaw, Lerch, Clasen, Greenstein, Berman and Giedd2014; Wierenga et al., Reference Wierenga, Langen, Ambrosino, van Dijk, Oranje and Durston2014). It may also reflect iron deficiency-induced impairment in dopaminergic signaling (Beard et al., Reference Beard, Chen, Connor and Jones1994; Burhans et al., Reference Burhans, Dailey, Beard, Wiesinger, Murray-Kolb, Jones and Beard2005; Erikson et al., Reference Erikson, Jones and Beard2000, Reference Erikson, Jones, Hess, Zhang and Beard2001; Jellen et al., Reference Jellen, Lu, Wang, Unger, Earley, Allen and Jones2013; Nelson et al., Reference Nelson, Erikson, Pinero and Beard1997; Pino et al., Reference Pino, da Luz, Antunes, Giampa, Martins and Lee2017). Preclinical studies have linked stimulant-induced reduction in dopamine D2 receptor density in the ventral striatum with an increase in putamen volume (Chang et al., Reference Chang, Cloak, Patterson, Grob, Miller and Ernst2005; Churchwell, Carey, Ferrett, Stein, & Yurgelun-Todd, Reference Churchwell, Carey, Ferrett, Stein and Yurgelun-Todd2012; Groman, Morales, Lee, London, & Jentsch, Reference Groman, Morales, Lee, London and Jentsch2013; Jan, Lin, Miles, Kydd, & Russell, Reference Jan, Lin, Miles, Kydd and Russell2012; Jernigan et al., Reference Jernigan, Gamst, Archibald, Fennema-Notestine, Mindt, Marcotte and Grant2005). Similarly, clinical studies have found enlarged putamen in patients with stimulant use disorders (Ersche et al., Reference Ersche, Acosta-Cabronero, Jones, Ziauddeen, van Swelm, Laarakkers and Williams2017, Reference Ersche, Barnes, Jones, Morein-Zamir, Robbins and Bullmore2011, Reference Ersche, Jones, Williams, Turton, Robbins and Bullmore2012; Jacobsen, Giedd, Gottschalk, Kosten, & Krystal, Reference Jacobsen, Giedd, Gottschalk, Kosten and Krystal2001). Finally, our finding is also consistent with increased basal ganglia volumes following extended treatment with ‘typical’ antipsychotics, characterized by potent dopamine D2 antagonist activity (Corson, Nopoulos, Miller, Arndt, & Andreasen, Reference Corson, Nopoulos, Miller, Arndt and Andreasen1999; Navari & Dazzan, Reference Navari and Dazzan2009). The basal ganglia are a key node in the cortico-striato-thalamo-cortical loops, subserving a multitude of neuropsychological processes implicated in psychopathologies, such as inhibitory control and reward processing (Drysdale et al., Reference Drysdale, Grosenick, Downar, Dunlop, Mansouri, Meng and Liston2017; Janiri et al., Reference Janiri, Moser, Doucet, Luber, Rasgon, Lee and Frangou2019; Pizzagalli et al., Reference Pizzagalli, Holmes, Dillon, Goetz, Birk, Bogdan and Fava2009; Wei & Wang, Reference Wei and Wang2016; Williams, Reference Williams2016). Whether iron supplementation would reverse these structural changes requires future studies.

Timing of iron deficiency and persistence of neuropsychiatric sequelae

Given the key role iron plays in a broad set of metabolic processes, it is not surprising that iron deficiency would be associated with cognitive and neuropsychiatric deficits (Vulser et al., Reference Vulser, Wiernik, Hoertel, Thomas, Pannier, Czernichow and Lemogne2016). However, the nature, severity, and chronicity of these effects are closely tied to the time during development when iron deficiency ensues (Barks, Hall, Tran, & Georgieff, Reference Barks, Hall, Tran and Georgieff2019; Georgieff, Reference Georgieff2017). The earlier the exposure, the broader the impact on neurocognitive functioning given the brain's substantial iron-dependent metabolic needs early in life, when brain structures underlying basic neurocognitive processes are rapidly developing (Barks et al., Reference Barks, Hall, Tran and Georgieff2019; Georgieff, Reference Georgieff2017; Georgieff, Brunette, & Tran, Reference Georgieff, Brunette and Tran2015; Lozoff & Georgieff, Reference Lozoff and Georgieff2006). This is thought to involve irreversible impairment in gene expression, affecting neuronal growth and plasticity (Georgieff et al., Reference Georgieff, Brunette and Tran2015). These ‘sensitive periods’ have been shown both in animal and clinical studies (Barks et al., Reference Barks, Hall, Tran and Georgieff2019; Georgieff, Reference Georgieff2017; Mudd et al., Reference Mudd, Fil, Knight, Lam, Liang and Dilger2018). For instance, children exposed to iron deficiency in-utero or in infancy, show motor, cognitive, emotional, and social deficits long after iron stores had been replenished (Barks et al., Reference Barks, Hall, Tran and Georgieff2019; Doom et al., Reference Doom, Richards, Caballero, Delva, Gahagan and Lozoff2018; Lozoff, Jimenez, Hagen, Mollen, & Wolf, Reference Lozoff, Jimenez, Hagen, Mollen and Wolf2000; Lozoff et al., Reference Lozoff, Smith, Kaciroti, Clark, Guevara and Jimenez2013). Additionally, in children with ADHD, Turner et al. found that a small mean corpuscular volume (a marker of iron deficiency) in the toddler years predicted poor response to psychostimulant treatment in elementary school (Turner, Xie, Zimmerman, & Calarge, Reference Turner, Xie, Zimmerman and Calarge2010). However, in contrast to what appears as persistent sequelae when iron deficiency occurs early in life, cognitive deficits in children and adults with iron deficiency, with or without anemia, can improve with iron repletion (Chmielewska et al., Reference Chmielewska, Dziechciarz, Gieruszczak-Bialek, Horvath, Piescik-Lech, Ruszczynski and Szajewska2019; Grantham-McGregor & Ani, Reference Grantham-McGregor and Ani2001; Low et al., Reference Low, Speedy, Styles, De-Regil and Pasricha2016; McCann & Ames, Reference McCann and Ames2007). For example, iron supplementation in 5- to 8-year-old children with ADHD and women with postpartum depression reduces symptom severity, particularly in those with iron deficiency (Konofal et al., Reference Konofal, Lecendreux, Deron, Marchand, Cortese, Zaim and Arnulf2008; Sever, Ashkenazi, Tyano, & Weizman, Reference Sever, Ashkenazi, Tyano and Weizman1997; Wassef, Nguyen, & St-Andre, Reference Wassef, Nguyen and St-Andre2019). In other words, which sequelae arise closely depend on which brain areas are most metabolically actively and/or rapidly developing at the time of iron deficiency, making them particularly vulnerable to its impact (Lozoff & Georgieff, Reference Lozoff and Georgieff2006; Vulser et al., Reference Vulser, Wiernik, Hoertel, Thomas, Pannier, Czernichow and Lemogne2016).

Some limitations of our pilot study must be acknowledged. First, our findings are based on a relatively small sample size, requiring replication in a larger study. Second, given that internalizing disorders disproportionately affect adolescent females, we did not recruit males. As such, whether our findings extend to males remains to be seen. Third, because this was a cross-sectional evaluation, the direction of the causal association between iron deficiency and our outcomes of interest cannot be established. While low sF is the most specific non-invasive marker of iron deficiency, with excellent reproducibility (Belza, Ersboll, Henriksen, Thilsted, & Tetens, Reference Belza, Ersboll, Henriksen, Thilsted and Tetens2005), neither the duration of iron deficiency was available, nor the presence of anemia ruled out as we did not measure hemoglobin. Because some symptoms associated with anemia may overlap with internalizing symptoms (Murray-Kolb, Reference Murray-Kolb2011), future studies should exclude the confounding effect of anemia to best examine the independent effect of iron deficiency on the brain. Given the exploratory nature of this study, no correction for multiple comparisons was made. As shown in Table 1, 62% of the participants were estimated to be in the luteal phase of their menstrual cycle, a time when ferritin tends to be higher (Kim, Yetley, & Calvo, Reference Kim, Yetley and Calvo1993). As such, the rate of iron deficiency may have been even higher had we enrolled the participants upon the onset of their menstrual phase. Finally, measuring C-reactive protein would have ruled out cases of inflammation, where ferritin would have been elevated. However, the stringent inclusion/exclusion criteria and the high prevalence of iron deficiency suggest that our participants did not have acute inflammation.

In summary, given iron's role in multiple metabolic processes affecting brain structure and function, iron deficiency can have a wide-ranging impact on brain development. In youth, this may compound their proclivity to develop internalizing disorders and compromise treatment response. Future studies, ideally longitudinal, should examine how changes in iron status during pubertal maturation may moderate brain development and the emergence of psychopathology. This risk may impact males and females differently, given that iron deficiency disproportionately affects menstruating females, particularly of minority background. Moreover, future interventions should seek to examine the clinical benefits of replenishing iron stores.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291721004098.

Acknowledgements

The authors thank the families and the research team members.

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Conflict of interest

None.

References

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.Google Scholar
Anderson, J. G., Fordahl, S. C., Cooney, P. T., Weaver, T. L., Colyer, C. L., & Erikson, K. M. (2009). Extracellular norepinephrine, norepinephrine receptor and transporter protein and mRNA levels are differentially altered in the developing rat brain due to dietary iron deficiency and manganese exposure. Brain Research, 1281, 114. doi: 10.1016/j.brainres.2009.05.050CrossRefGoogle ScholarPubMed
Ballin, A., Berar, M., Rubinstein, U., Kleter, Y., Hershkovitz, A., & Meytes, D. (1992). Iron state in female adolescents. American Journal of Diseases of Children, 146(7), 803805. doi: 10.1001/archpedi.1992.02160190035015Google Scholar
Barks, A., Hall, A. M., Tran, P. V., & Georgieff, M. K. (2019). Iron as a model nutrient for understanding the nutritional origins of neuropsychiatric disease. Pediatric Research, 85(2), 176182. doi: 10.1038/s41390-018-0204-8CrossRefGoogle Scholar
Bastian, T. W., von Hohenberg, W. C., Georgieff, M. K., & Lanier, L. M. (2019). Chronic energy depletion due to iron deficiency impairs dendritic mitochondrial motility during hippocampal neuron development. Journal of Neuroscience, 39(5), 802813. doi: 10.1523/JNEUROSCI.1504-18.2018CrossRefGoogle ScholarPubMed
Baumgartner, J., Smuts, C. M., Malan, L., Arnold, M., Yee, B. K., Bianco, L. E., … Zimmermann, M. B. (2012a). Combined deficiency of iron and (n-3) fatty acids in male rats disrupts brain monoamine metabolism and produces greater memory deficits than iron deficiency or (n-3) fatty acid deficiency alone. Journal of Nutrition, 142(8), 14631471. doi: 10.3945/jn.111.156281CrossRefGoogle ScholarPubMed
Baumgartner, J., Smuts, C. M., Malan, L., Arnold, M., Yee, B. K., Bianco, L. E., … Zimmermann, M. B. (2012b). In male rats with concurrent iron and (n-3) fatty acid deficiency, provision of either iron or (n-3) fatty acids alone alters monoamine metabolism and exacerbates the cognitive deficits associated with combined deficiency. Journal of Nutrition, 142(8), 14721478. doi: 10.3945/jn.111.156299CrossRefGoogle ScholarPubMed
Baumgartner, J., Smuts, C. M., & Zimmermann, M. B. (2014). Providing male rats deficient in iron and n-3 fatty acids with iron and alpha-linolenic acid alone affects brain serotonin and cognition differently from combined provision. Lipids in Health and Disease, 13, 97. doi: 10.1186/1476-511X-13-97CrossRefGoogle ScholarPubMed
Beard, J. L., Chen, Q., Connor, J., & Jones, B. C. (1994). Altered monamine metabolism in caudate-putamen of iron-deficient rats. Pharmacology, Biochemistry and Behavior, 48(3), 621624.CrossRefGoogle ScholarPubMed
Beard, J. L., & Connor, J. R. (2003). Iron status and neural functioning. Annual Review Nutrition, 23, 4158. doi: 10.1146/annurev.nutr.23.020102.075739020102.075739CrossRefGoogle ScholarPubMed
Beard, J. L., Erikson, K. M., & Jones, B. C. (2002). Neurobehavioral analysis of developmental iron deficiency in rats. Behavioural Brain Research, 134(1-2), 517524.CrossRefGoogle ScholarPubMed
Beard, J. L., Hendricks, M. K., Perez, E. M., Murray-Kolb, L. E., Berg, A., Vernon-Feagans, L., … Tomlinson, M. (2005). Maternal iron deficiency anemia affects postpartum emotions and cognition. Journal of Nutrition, 135(2), 267272. doi: 10.1093/jn/135.2.267CrossRefGoogle ScholarPubMed
Belza, A., Ersboll, A. K., Henriksen, M., Thilsted, S. H., & Tetens, I. (2005). Day-to-day variation in iron-status measures in young iron-deplete women. British Journal of Nutrition, 94(4), 551556. doi: 10.1079/bjn20051461CrossRefGoogle ScholarPubMed
Birmaher, B., Brent, D. A., Chiappetta, L., Bridge, J., Monga, S., & Baugher, M. (1999). Psychometric properties of the screen for child anxiety related emotional disorders (SCARED): A replication study. Journal of the American Academy of Child and Adolescent Psychiatry, 38(10), 12301236. doi: 10.1097/00004583-199910000-00011CrossRefGoogle ScholarPubMed
Birmaher, B., Khetarpal, S., Brent, D., Cully, M., Balach, L., Kaufman, J., & Neer, S. M. (1997). The screen for child anxiety related emotional disorders (SCARED): Scale construction and psychometric characteristics. Journal of the American Academy of Child and Adolescent Psychiatry, 36(4), 545553. doi: 10.1097/00004583-199704000-00018CrossRefGoogle ScholarPubMed
Bourre, J. M., Pascal, G., Durand, G., Masson, M., Dumont, O., & Piciotti, M. (1984). Alterations in the fatty acid composition of rat brain cells (neurons, astrocytes, and oligodendrocytes) and of subcellular fractions (myelin and synaptosomes) induced by a diet devoid of n-3 fatty acids. Journal of Neurochemistry, 43(2), 342348. doi: 10.1111/j.1471-4159.1984.tb00906.xCrossRefGoogle ScholarPubMed
Bruner, A. B., Joffe, A., Duggan, A. K., Casella, J. F., & Brandt, J. (1996). Randomised study of cognitive effects of iron supplementation in non-anaemic iron-deficient adolescent girls. Lancet (London, England), 348(9033), 992996. doi: 10.1016/S0140-6736(96)02341-0CrossRefGoogle ScholarPubMed
Burhans, M. S., Dailey, C., Beard, Z., Wiesinger, J., Murray-Kolb, L., Jones, B. C., & Beard, J. L. (2005). Iron deficiency: Differential effects on monoamine transporters. Nutritional Neuroscience, 8(1), 3138.CrossRefGoogle ScholarPubMed
Calarge, C. A., Acion, L., Kuperman, S., Tansey, M., & Schlechte, J. A. (2009). Weight gain and metabolic abnormalities during extended risperidone treatment in children and adolescents. Journal of Child and Adolescent Psychopharmacology, 19(2), 101109. doi: 10.1089/cap.2008.007CrossRefGoogle ScholarPubMed
Calarge, C. A., Devaraj, S., & Shulman, R. J. (2019). Gut permeability and depressive symptom severity in unmedicated adolescents. Journal of Affective Disorders, 246, 586594. doi: 10.1016/j.jad.2018.12.077CrossRefGoogle ScholarPubMed
Calarge, C. A., Gandy, K., Barba Villalobos, G., Nguyen, J., Kim, S. Y., & Maletic-Savatic, M. (2017). In-vivo measurement of a neurogenic signal and pattern separation in adolescent depression. Paper presented at the American College of Neuropsychopharmacology Annual Meeting, Palm Springs, CA.Google Scholar
Calarge, C. A., Mills, J. A., Ziegler, E. E., & Schlechte, J. A. (2018). Calcium and vitamin D supplementation in boys with risperidone-induced hyperprolactinemia: A randomized, placebo-controlled pilot study. Journal of Child and Adolescent Psychopharmacology, 28(2), 145150. doi: 10.1089/cap.2017.0104CrossRefGoogle ScholarPubMed
Cammer, W. (1984a). Carbonic anhydrase in oligodendrocytes and myelin in the central nervous system. Annals of the New York Academy of Sciences 429, 494497. https://doi.org/10.1111/j.1749-6632.1984.tb12376.x.CrossRefGoogle ScholarPubMed
Cammer, W. (1984b). Oligodendrocyte associated enzymes. In Norton, W. T. (Ed.), Oligodendroglia (pp. 199232). New York: Plenum Press.CrossRefGoogle Scholar
Carlson, E. S., Stead, J. D., Neal, C. R., Petryk, A., & Georgieff, M. K. (2007). Perinatal iron deficiency results in altered developmental expression of genes mediating energy metabolism and neuronal morphogenesis in hippocampus. Hippocampus, 17(8), 679691. doi: 10.1002/hipo.20307CrossRefGoogle ScholarPubMed
Carpenter, K. L. H., Li, W., Wei, H., Wu, B., Xiao, X., Liu, C., … Egger, H. L. (2016). Magnetic susceptibility of brain iron is associated with childhood spatial IQ. Neuroimage, 132, 167174. doi: 10.1016/j.neuroimage.2016.02.028CrossRefGoogle ScholarPubMed
CDC, Centers for Disease Control and Prevention. (2002). Iron deficiency — United States, 1999–2000. Morbidity and Mortality Weekly Report, 51, 897899. http://www.cdc.gov/MMWR/PDF/wk/mm5140.pdf.Google Scholar
CDC, Centers for Disease Control and Prevention. (2014). Trace elements. Second National Report on Biochemical Indicators of Diet and Nutrition in the U.S. Population 2012. Retrieved from https://www.cdc.gov/nutritionreport/summary_2012.html.Google Scholar
Chang, L., Cloak, C., Patterson, K., Grob, C., Miller, E. N., & Ernst, T. (2005). Enlarged striatum in abstinent methamphetamine abusers: A possible compensatory response. Biological Psychiatry, 57(9), 967974. doi: 10.1016/j.biopsych.2005.01.039CrossRefGoogle ScholarPubMed
Chen, M. H., Su, T. P., Chen, Y. S., Hsu, J. W., Huang, K. L., Chang, W. H., … Bai, Y. M. (2013). Association between psychiatric disorders and iron deficiency anemia among children and adolescents: A nationwide population-based study. BMC Psychiatry, 13, 161. doi: 10.1186/1471-244X-13-161CrossRefGoogle ScholarPubMed
Chmielewska, A., Dziechciarz, P., Gieruszczak-Bialek, D., Horvath, A., Piescik-Lech, M., Ruszczynski, M., … Szajewska, H. (2019). Effects of prenatal and/or postnatal supplementation with iron, PUFA or folic acid on neurodevelopment: Update. British Journal of Nutrition, 122(Suppl. 1), S10S15. doi: 10.1017/S0007114514004243CrossRefGoogle ScholarPubMed
Churchwell, J. C., Carey, P. D., Ferrett, H. L., Stein, D. J., & Yurgelun-Todd, D. A. (2012). Abnormal striatal circuitry and intensified novelty seeking among adolescents who abuse methamphetamine and cannabis. Developmental Neuroscience, 34(4), 310317. doi: 10.1159/000337724CrossRefGoogle ScholarPubMed
Coe, C. L., Lubach, G. R., Bianco, L., & Beard, J. L. (2009). A history of iron deficiency anemia during infancy alters brain monoamine activity later in juvenile monkeys. Developmental Psychobiology, 51(3), 301309. doi: 10.1002/dev.20365CrossRefGoogle ScholarPubMed
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Routledge.Google Scholar
Connor, J. R., & Menzies, S. L. (1996). Relationship of iron to oligodendrocytes and myelination. Glia, 17(2), 8393. doi: 10.1002/(SICI)1098-1136(199606)17:2<83::AID-GLIA1>3.0.CO;2-73.0.CO;2-7>CrossRefGoogle ScholarPubMed
Corson, P. W., Nopoulos, P., Miller, D. D., Arndt, S., & Andreasen, N. C. (1999). Change in basal ganglia volume over 2 years in patients with schizophrenia: Typical versus atypical neuroleptics. American Journal of Psychiatry, 156(8), 12001204. doi: 10.1176/ajp.156.8.1200CrossRefGoogle ScholarPubMed
Corwin, E. J., Murray-Kolb, L. E., & Beard, J. L. (2003). Low hemoglobin level is a risk factor for postpartum depression. Journal of Nutrition, 133(12), 41394142. doi: 10.1093/jn/133.12.4139CrossRefGoogle ScholarPubMed
D'Occhio, M. J., Fordyce, G., Whyte, T. R., Aspden, W. J., & Trigg, T. E. (2000). Reproductive responses of cattle to GnRH agonists. Animal Reproduction Science, 60–61, 433442. doi: 10.1016/s0378-4320(00)00078-6CrossRefGoogle ScholarPubMed
Doom, J. R., Richards, B., Caballero, G., Delva, J., Gahagan, S., & Lozoff, B. (2018). Infant iron deficiency and iron supplementation predict adolescent internalizing, externalizing, and social problems. Journal of Pediatrics, 195, 199205.e192. doi: 10.1016/j.jpeds.2017.12.008CrossRefGoogle ScholarPubMed
Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., … Liston, C. (2017). Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature Medicine, 23(1), 2838. doi: 10.1038/nm.4246CrossRefGoogle ScholarPubMed
Ennis, K. M., Dahl, L. V., Rao, R. B., & Georgieff, M. K. (2018). Reticulocyte hemoglobin content as an early predictive biomarker of brain iron deficiency. Pediatric Research, 84(5), 765769. doi: 10.1038/s41390-018-0178-6CrossRefGoogle ScholarPubMed
Erikson, K. M., Jones, B. C., & Beard, J. L. (2000). Iron deficiency alters dopamine transporter functioning in rat striatum. Journal of Nutrition, 130(11), 28312837.CrossRefGoogle ScholarPubMed
Erikson, K. M., Jones, B. C., Hess, E. J., Zhang, Q., & Beard, J. L. (2001). Iron deficiency decreases dopamine D1 and D2 receptors in rat brain. Pharmacology, Biochemistry and Behavior, 69(3–4), 409418. doi: S0091-3057(01)00563-9CrossRefGoogle ScholarPubMed
Ersche, K. D., Acosta-Cabronero, J., Jones, P. S., Ziauddeen, H., van Swelm, R. P., Laarakkers, C. M., … Williams, G. B. (2017). Disrupted iron regulation in the brain and periphery in cocaine addiction. Translational Psychiatry, 7(2), e1040. doi: 10.1038/tp.2016.271CrossRefGoogle ScholarPubMed
Ersche, K. D., Barnes, A., Jones, P. S., Morein-Zamir, S., Robbins, T. W., & Bullmore, E. T. (2011). Abnormal structure of frontostriatal brain systems is associated with aspects of impulsivity and compulsivity in cocaine dependence. Brain, 134(Pt 7), 20132024. doi: 10.1093/brain/awr138CrossRefGoogle ScholarPubMed
Ersche, K. D., Jones, P. S., Williams, G. B., Turton, A. J., Robbins, T. W., & Bullmore, E. T. (2012). Abnormal brain structure implicated in stimulant drug addiction. Science (New York, N.Y.), 335(6068), 601604. doi: 10.1126/science.1214463CrossRefGoogle ScholarPubMed
Faulstich, M. E., Carey, M. P., Ruggiero, L., Enyart, P., & Gresham, F. (1986). Assessment of depression in childhood and adolescence: An evaluation of the center for epidemiological studies depression scale for children (CES-DC). American Journal of Psychiatry, 143(8), 10241027. doi: 10.1176/ajp.143.8.1024Google Scholar
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., … Dale, A. M. (2002). Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron, 33(3), 341355. doi: 10.1016/s0896-6273(02)00569-xCrossRefGoogle ScholarPubMed
Fischl, B., Salat, D. H., van der Kouwe, A. J., Makris, N., Segonne, F., Quinn, B. T., & Dale, A. M. (2004). Sequence-independent segmentation of magnetic resonance images. Neuroimage, 23(Suppl. 1), S69S84. doi: 10.1016/j.neuroimage.2004.07.016CrossRefGoogle ScholarPubMed
Fordy, J., & Benton, D. (1994). Does low iron status influence psychological functioning? Journal of Human Nutrition and Dietetics, 7, 127133.CrossRefGoogle Scholar
Fretham, S. J., Carlson, E. S., Wobken, J., Tran, P. V., Petryk, A., & Georgieff, M. K. (2012). Temporal manipulation of transferrin-receptor-1-dependent iron uptake identifies a sensitive period in mouse hippocampal neurodevelopment. Hippocampus, 22(8), 16911702. doi: 10.1002/hipo.22004CrossRefGoogle ScholarPubMed
Garcia-Casal, M. N., Pena-Rosas, J. P., Urrechaga, E., Escanero, J. F., Huo, J., Martinez, R. X., & Lopez-Perez, L. (2018). Performance and comparability of laboratory methods for measuring ferritin concentrations in human serum or plasma: A systematic review and meta-analysis. PLoS ONE, 13(5), e0196576. doi: 10.1371/journal.pone.0196576CrossRefGoogle ScholarPubMed
Georgieff, M. K. (2017). Iron assessment to protect the developing brain. American Journal of Clinical Nutrition, 106(Suppl. 6), 1588S1593S. doi: 10.3945/ajcn.117.155846CrossRefGoogle ScholarPubMed
Georgieff, M. K., Brunette, K. E., & Tran, P. V. (2015). Early life nutrition and neural plasticity. Development and Psychopathology, 27(2), 411423. doi: 10.1017/S0954579415000061CrossRefGoogle ScholarPubMed
Golub, M. S., Hogrefe, C. E., & Germann, S. L. (2007). Iron deprivation during fetal development changes the behavior of juvenile rhesus monkeys. Journal of Nutrition, 137(4), 979984. doi: 10.1093/jn/137.4.979CrossRefGoogle ScholarPubMed
Grantham-McGregor, S., & Ani, C. (2001). A review of studies on the effect of iron deficiency on cognitive development in children. The Journal of Nutrition, 131(2S-2), 649S666S; discussion 666S-668S.CrossRefGoogle ScholarPubMed
Groman, S. M., Morales, A. M., Lee, B., London, E. D., & Jentsch, J. D. (2013). Methamphetamine-induced increases in putamen gray matter associate with inhibitory control. Psychopharmacology, 229(3), 527538. doi: 10.1007/s00213-013-3159-9CrossRefGoogle ScholarPubMed
Guiang, S. F., 3rd, Georgieff, M. K., Lambert, D. J., Schmidt, R. L., & Widness, J. A. (1997). Intravenous iron supplementation effect on tissue iron and hemoproteins in chronically phlebotomized lambs. The American Journal of Physiology, 273(6 Pt 2), R2124R2131.Google ScholarPubMed
Gupta, P. M., Hamner, H. C., Suchdev, P. S., Flores-Ayala, R., & Mei, Z. (2017). Iron status of toddlers, nonpregnant females, and pregnant females in the United States. American Journal of Clinical Nutrition, 106(Suppl. 6), 1640S1646S. doi: 10.3945/ajcn.117.155978CrossRefGoogle ScholarPubMed
Haacke, E. M., Cheng, N. Y., House, M. J., Liu, Q., Neelavalli, J., Ogg, R. J., … Obenaus, A. (2005). Imaging iron stores in the brain using magnetic resonance imaging. Magnetic Resonance Imaging, 23(1), 125. doi: 10.1016/j.mri.2004.10.001CrossRefGoogle ScholarPubMed
Hallgren, B., & Sourander, P. (1958). The effect of age on the non-haemin iron in the human brain. Journal of Neurochemistry, 3(1), 4151. doi: 10.1111/j.1471-4159.1958.tb12607.xCrossRefGoogle ScholarPubMed
Jacobsen, L. K., Giedd, J. N., Gottschalk, C., Kosten, T. R., & Krystal, J. H. (2001). Quantitative morphology of the caudate and putamen in patients with cocaine dependence. American Journal of Psychiatry, 158(3), 486489. doi: 10.1176/appi.ajp.158.3.486CrossRefGoogle ScholarPubMed
Jan, R. K., Lin, J. C., Miles, S. W., Kydd, R. R., & Russell, B. R. (2012). Striatal volume increases in active methamphetamine-dependent individuals and correlation with cognitive performance. Brain Sciences, 2(4), 553572. doi: 10.3390/brainsci2040553CrossRefGoogle ScholarPubMed
Janiri, D., Moser, D. A., Doucet, G. E., Luber, M. J., Rasgon, A., Lee, W. H., … Frangou, S. (2019). Shared neural phenotypes for mood and anxiety disorders: A meta-analysis of 226 task-related functional imaging studies. JAMA Psychiatry, 77(2), 172179. 10.1001/jamapsychiatry.2019.3351.CrossRefGoogle Scholar
Jellen, L. C., Lu, L., Wang, X., Unger, E. L., Earley, C. J., Allen, R. P., … Jones, B. C. (2013). Iron deficiency alters expression of dopamine-related genes in the ventral midbrain in mice. Neuroscience, 252, 1323. doi: 10.1016/j.neuroscience.2013.07.058CrossRefGoogle ScholarPubMed
Jernigan, T. L., Gamst, A. C., Archibald, S. L., Fennema-Notestine, C., Mindt, M. R., Marcotte, T. D., … Grant, I. (2005). Effects of methamphetamine dependence and HIV infection on cerebral morphology. American Journal of Psychiatry, 162(8), 14611472. doi: 10.1176/appi.ajp.162.8.1461CrossRefGoogle ScholarPubMed
Karl, J. P., Lieberman, H. R., Cable, S. J., Williams, K. W., Young, A. J., & McClung, J. P. (2010). Randomized, double-blind, placebo-controlled trial of an iron-fortified food product in female soldiers during military training: Relations between iron status, serum hepcidin, and inflammation. American Journal of Clinical Nutrition, 92(1), 93100. doi: 10.3945/ajcn.2010.29185CrossRefGoogle ScholarPubMed
Kennedy, B. C., Dimova, J. G., Siddappa, A. J., Tran, P. V., Gewirtz, J. C., & Georgieff, M. K. (2014). Prenatal choline supplementation ameliorates the long-term neurobehavioral effects of fetal-neonatal iron deficiency in rats. Journal of Nutrition, 144(11), 18581865. doi: 10.3945/jn.114.198739CrossRefGoogle ScholarPubMed
Kim, I., Yetley, E. A., & Calvo, M. S. (1993). Variations in iron-status measures during the menstrual cycle. American Journal of Clinical Nutrition, 58(5), 705709. doi: 10.1093/ajcn/58.5.705CrossRefGoogle ScholarPubMed
Konofal, E., Lecendreux, M., Deron, J., Marchand, M., Cortese, S., Zaim, M., … Arnulf, I. (2008). Effects of iron supplementation on attention deficit hyperactivity disorder in children. Pediatric Neurology, 38(1), 2026. doi: S0887-8994(07)00417-1CrossRefGoogle ScholarPubMed
Lange, S. J., & Que, L. Jr. (1998). Oxygen activating nonheme iron enzymes. Current Opinion in Chemical Biology, 2(2), 159172. doi: 10.1016/s1367-5931(98)80057-4CrossRefGoogle ScholarPubMed
Langkammer, C., Schweser, F., Krebs, N., Deistung, A., Goessler, W., Scheurer, E., … Reichenbach, J. R. (2012). Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study. Neuroimage, 62(3), 15931599. doi: 10.1016/j.neuroimage.2012.05.049CrossRefGoogle Scholar
Looker, A. C., Cogswell, M. E., & Gunter, E. W. (2002). Iron deficiency – United States, 1999–2000. Retrieved from http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5140a1.htm#tab1.Google Scholar
Low, M. S., Speedy, J., Styles, C. E., De-Regil, L. M., & Pasricha, S. R. (2016). Daily iron supplementation for improving anaemia, iron status and health in menstruating women. Cochrane Database of Systematic Review, 4, CD009747. doi: 10.1002/14651858.CD009747.pub2Google ScholarPubMed
Lozoff, B., & Georgieff, M. K. (2006). Iron deficiency and brain development. Seminars in Pediatric Neurology, 13(3), 158165. doi: 10.1016/j.spen.2006.08.004CrossRefGoogle ScholarPubMed
Lozoff, B., Jimenez, E., Hagen, J., Mollen, E., & Wolf, A. W. (2000). Poorer behavioral and developmental outcome more than 10 years after treatment for iron deficiency in infancy. Pediatrics, 105(4), E51.CrossRefGoogle ScholarPubMed
Lozoff, B., Smith, J. B., Kaciroti, N., Clark, K. M., Guevara, S., & Jimenez, E. (2013). Functional significance of early-life iron deficiency: Outcomes at 25 years. Journal of Pediatrics, 163(5), 12601266. doi: 10.1016/j.jpeds.2013.05.015CrossRefGoogle ScholarPubMed
Mast, A. E., Blinder, M. A., Gronowski, A. M., Chumley, C., & Scott, M. G. (1998). Clinical utility of the soluble transferrin receptor and comparison with serum ferritin in several populations. Clinical Chemistry, 44(1), 4551.CrossRefGoogle ScholarPubMed
Matsuo, K., Rosenberg, D. R., Easter, P. C., MacMaster, F. P., Chen, H. H., Nicoletti, M., … Soares, J. C. (2008). Striatal volume abnormalities in treatment-naïve patients diagnosed with pediatric major depressive disorder. Journal of Child and Adolescent Psychopharmacology, 18(2), 121131. doi: 10.1089/cap.2007.0026CrossRefGoogle ScholarPubMed
McCann, J. C., & Ames, B. N. (2007). An overview of evidence for a causal relation between iron deficiency during development and deficits in cognitive or behavioral function. American Journal of Clinical Nutrition, 85(4), 931945.CrossRefGoogle ScholarPubMed
Mikami, K., Okazawa, H., Kimoto, K., Akama, F., Onishi, Y., Takahashi, Y., … Matsumoto, H. (2019). Effect of oral iron administration on mental state in children with low serum ferritin concentration. Global Pediatric Health, 6, 2333794X19884816. doi: 10.1177/2333794X19884816CrossRefGoogle Scholar
Mohamed, W. M., Unger, E. L., Kambhampati, S. K., & Jones, B. C. (2011). Methylphenidate improves cognitive deficits produced by infantile iron deficiency in rats. Behavioural Brain Research, 216(1), 146152. doi: 10.1016/j.bbr.2010.07.025CrossRefGoogle ScholarPubMed
Mojtabai, R., & Olfson, M. (2020). National trends in mental health care for US adolescents. JAMA Psychiatry, 77(7), 703714. doi: 10.1001/jamapsychiatry.2020.0279CrossRefGoogle ScholarPubMed
Mojtabai, R., Olfson, M., & Han, B. (2016). National trends in the prevalence and treatment of depression in adolescents and young adults. Pediatrics, 138(6), e20161878. doi: 10.1542/peds.2016-1878.CrossRefGoogle ScholarPubMed
Moller, H. E., Bossoni, L., Connor, J. R., Crichton, R. R., Does, M. D., Ward, R. J., … Ronen, I. (2019). Iron, myelin, and the brain: Neuroimaging meets neurobiology. Trends in Neurosciences, 42(6), 384401. doi: 10.1016/j.tins.2019.03.009CrossRefGoogle ScholarPubMed
Mudd, A. T., Fil, J. E., Knight, L. C., Lam, F., Liang, Z. P., & Dilger, R. N. (2018). Early-life iron deficiency reduces brain iron content and alters brain tissue composition despite iron repletion: A neuroimaging assessment. Nutrients, 10(2), 135. doi: 10.3390/nu10020135.CrossRefGoogle ScholarPubMed
Murray-Kolb, L. E. (2011). Iron status and neuropsychological consequences in women of reproductive age: What do we know and where are we headed? Journal of Nutrition, 141(4), 747S755S. doi: 10.3945/jn.110.130658CrossRefGoogle ScholarPubMed
Navari, S., & Dazzan, P. (2009). Do antipsychotic drugs affect brain structure? A systematic and critical review of MRI findings. Psychological Medicine, 39(11), 17631777. doi: 10.1017/S0033291709005315CrossRefGoogle ScholarPubMed
Nelson, C., Erikson, K., Pinero, D. J., & Beard, J. L. (1997). In vivo dopamine metabolism is altered in iron-deficient anemic rats. Journal of Nutrition, 127(12), 22822288.CrossRefGoogle ScholarPubMed
North, M., Dallalio, G., Donath, A. S., Melink, R., & Means, R. T. Jr. (1997). Serum transferrin receptor levels in patients undergoing evaluation of iron stores: Correlation with other parameters and observed versus predicted results. Clinical and Laboratory Haematology, 19(2), 9397. doi: 10.1046/j.1365-2257.1997.00041.xCrossRefGoogle ScholarPubMed
Ogden, C. L., Kuczmarski, R. J., Flegal, K. M., Mei, Z., Guo, S., Wei, R., … Johnson, C. L. (2002). Centers for disease control and prevention 2000 growth charts for the United States: Improvements to the 1977 National Center for Health Statistics version. Pediatrics, 109(1), 4560.CrossRefGoogle Scholar
Peterson, E. T., Kwon, D., Luna, B., Larsen, B., Prouty, D., De Bellis, M. D., … Pfefferbaum, A. (2019). Distribution of brain iron accrual in adolescence: Evidence from cross-sectional and longitudinal analysis. Human Brain Mapping, 40(5), 14801495. doi: 10.1002/hbm.24461CrossRefGoogle ScholarPubMed
Pino, J. M. V., da Luz, M. H. M., Antunes, H. K. M., Giampa, S. Q. C., Martins, V. R., & Lee, K. S. (2017). Iron-restricted diet affects brain ferritin levels, dopamine metabolism and cellular prion protein in a region-specific manner. Frontiers in Molecular Neuroscience, 10, 145. doi: 10.3389/fnmol.2017.00145CrossRefGoogle Scholar
Pizzagalli, D. A., Holmes, A. J., Dillon, D. G., Goetz, E. L., Birk, J. L., Bogdan, R., … Fava, M. (2009). Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder. American Journal of Psychiatry, 166(6), 702710. doi: 10.1176/appi.ajp.2008.08081201CrossRefGoogle ScholarPubMed
Rangan, A. M., Blight, G. D., & Binns, C. W. (1998). Iron status and non-specific symptoms of female students. Journal of the American College of Nutrition, 17(4), 351355. doi: 10.1080/07315724.1998.10718774CrossRefGoogle ScholarPubMed
Raznahan, A., Shaw, P. W., Lerch, J. P., Clasen, L. S., Greenstein, D., Berman, R., … Giedd, J. N. (2014). Longitudinal four-dimensional mapping of subcortical anatomy in human development. Proceedings of the National Academy of Sciences of the USA, 111(4), 15921597. doi: 10.1073/pnas.1316911111CrossRefGoogle ScholarPubMed
Rouault, T. A., & Cooperman, S. (2006). Brain iron metabolism. Seminars in Pediatric Neurology, 13(3), 142148. doi: 10.1016/j.spen.2006.08.002CrossRefGoogle ScholarPubMed
Schmidt, A. T., Waldow, K. J., Grove, W. M., Salinas, J. A., & Georgieff, M. K. (2007). Dissociating the long-term effects of fetal/neonatal iron deficiency on three types of learning in the rat. Behavioral Neuroscience, 121(3), 475482. doi: 10.1037/0735-7044.121.3.475CrossRefGoogle ScholarPubMed
Sedlacik, J., Boelmans, K., Lobel, U., Holst, B., Siemonsen, S., & Fiehler, J. (2014). Reversible, irreversible and effective transverse relaxation rates in normal aging brain at 3T. Neuroimage, 84, 10321041. doi: 10.1016/j.neuroimage.2013.08.051CrossRefGoogle ScholarPubMed
Sever, Y., Ashkenazi, A., Tyano, S., & Weizman, A. (1997). Iron treatment in children with attention deficit hyperactivity disorder. A preliminary report. Neuropsychobiology, 35(4), 178180.CrossRefGoogle ScholarPubMed
Song, M. K., Lin, F. C., Ward, S. E., & Fine, J. P. (2013). Composite variables: When and how. Nursing Research, 62, 4549. https://doi.org/10.1097/NNR.0b013e3182741948.CrossRefGoogle ScholarPubMed
Sun, H., & Weaver, C. M. (2021). Decreased iron intake parallels rising iron deficiency anemia and related mortality rates in the US population. Journal of Nutrition, 151(7), 19471955. https://doi.org/10.1093/jn/nxab064.CrossRefGoogle ScholarPubMed
Tansey, F. A., & Cammer, W. (1988). Acetyl-CoA carboxylase in rat brain. I. Activities in homogenates and isolated fractions. Brain Research, 471(1), 123130. doi: 10.1016/0165-3806(88)90157-5CrossRefGoogle Scholar
Tran, P. V., Kennedy, B. C., Pisansky, M. T., Won, K. J., Gewirtz, J. C., Simmons, R. A., & Georgieff, M. K. (2016). Prenatal choline supplementation diminishes early-life iron deficiency-induced reprogramming of molecular networks associated with behavioral abnormalities in the adult rat hippocampus. Journal of Nutrition, 146(3), 484493. doi: 10.3945/jn.115.227561CrossRefGoogle ScholarPubMed
Trumbo, P., Schlicker, S., Yates, A. A., & Poos, M. (2002). Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids. Journal of the American Dietetic Association, 102(11), 16211630.CrossRefGoogle ScholarPubMed
Turner, C. A., Xie, D., Zimmerman, B. M., & Calarge, C. A. (2010). Iron status in toddlerhood predicts sensitivity to psychostimulants in children. Journal of Attention Disorders, 16(4), 295303. 1087054710385067.CrossRefGoogle ScholarPubMed
Twenge, J. M., Cooper, A. B., Joiner, T. E., Duffy, M. E., & Binau, S. G. (2019). Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017. Journal of Abnormal Psychology, 128(3), 185199. doi: 10.1037/abn0000410CrossRefGoogle Scholar
Vahdat Shariatpanaahi, M., Vahdat Shariatpanaahi, Z., Moshtaaghi, M., Shahbaazi, S. H., & Abadi, A. (2007). The relationship between depression and serum ferritin level. European Journal of Clinical Nutrition, 61(4), 532535. doi: 10.1038/sj.ejcn.1602542CrossRefGoogle ScholarPubMed
Verdon, F., Burnand, B., Stubi, C. L., Bonard, C., Graff, M., Michaud, A., … Favrat, B. (2003). Iron supplementation for unexplained fatigue in non-anaemic women: Double blind randomised placebo controlled trial. BMJ, 326(7399), 1124. doi: 10.1136/bmj.326.7399.1124CrossRefGoogle ScholarPubMed
Vulser, H., Lemaitre, H., Artiges, E., Miranda, R., Penttilä, J., Struve, M., … Paillère-Martinot, M. L. (2015). Subthreshold depression and regional brain volumes in young community adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 54(10), 832840. doi: 10.1016/j.jaac.2015.07.006CrossRefGoogle ScholarPubMed
Vulser, H., Wiernik, E., Hoertel, N., Thomas, F., Pannier, B., Czernichow, S., … Lemogne, C. (2016). Association between depression and anemia in otherwise healthy adults. Acta Psychiatrica Scandinavica, 134(2), 150160. doi: 10.1111/acps.12595CrossRefGoogle ScholarPubMed
Wade, Q. W., Chiou, B., & Connor, J. R. (2019). Iron uptake at the blood-brain barrier is influenced by sex and genotype. Advances in Pharmacology, 84, 123145. doi: 10.1016/bs.apha.2019.02.005CrossRefGoogle ScholarPubMed
Wassef, A., Nguyen, Q. D., & St-Andre, M. (2019). Anaemia and depletion of iron stores as risk factors for postpartum depression: A literature review. Journal of Psychosomatic Obstetrics and Gynaecology, 40(1), 1928. doi: 10.1080/0167482X.2018.1427725CrossRefGoogle ScholarPubMed
Wei, W., & Wang, X. J. (2016). Inhibitory control in the cortico-basal ganglia-thalamocortical loop: Complex regulation and interplay with memory and decision processes. Neuron, 92(5), 10931105. doi: 10.1016/j.neuron.2016.10.031CrossRefGoogle ScholarPubMed
Weissman, M. M., Orvaschel, H., & Padian, N. (1980). Children's symptom and social functioning self-report scales. Comparison of mothers’ and children's reports. Journal of Nervous and Mental Disease, 168(12), 736740.CrossRefGoogle ScholarPubMed
WHO, World Health Organization. (2001). Iron deficiency anaemia – Assessment, prevention, and control. A guide for programme managers. https://www.who.int/nutrition/publications/en/ida_assessment_prevention_control.pdf.Google Scholar
WHO, World Health Organization. (2011). Serum ferritin concentrations for the assessment of iron status and iron deficiency in populations. Retrieved from http://www.who.int/vmnis/indicators/serum_ferritin.pdf.Google Scholar
Wierenga, L., Langen, M., Ambrosino, S., van Dijk, S., Oranje, B., & Durston, S. (2014). Typical development of basal ganglia, hippocampus, amygdala and cerebellum from age 7 to 24. Neuroimage, 96, 6772. doi: 10.1016/j.neuroimage.2014.03.072CrossRefGoogle ScholarPubMed
Williams, L. M. (2016). Precision psychiatry: A neural circuit taxonomy for depression and anxiety. The Lancet. Psychiatry, 3(5), 472480. doi: 10.1016/S2215-0366(15)00579-9CrossRefGoogle ScholarPubMed
Xu, X., Wang, Q., & Zhang, M. (2008). Age, gender, and hemispheric differences in iron deposition in the human brain: An in vivo MRI study. Neuroimage, 40(1), 3542. doi: 10.1016/j.neuroimage.2007.11.017CrossRefGoogle Scholar
Youdim, M. B. (2008). Brain iron deficiency and excess; cognitive impairment and neurodegeneration with involvement of striatum and hippocampus. Neurotoxicity Research, 14(1), 4556.CrossRefGoogle ScholarPubMed
Zamora, T. G., Guiang, S. F., 3rd, Widness, J. A., & Georgieff, M. K. (2016). Iron is prioritized to red blood cells over the brain in phlebotomized anemic newborn lambs. Pediatric Research, 79(6), 922928. doi: 10.1038/pr.2016.20CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Demographic and clinical characteristics of female adolescents (n = 40) with internalizing disorders v. healthy controls

Figure 1

Fig. 1. (A) Least squares means for internalizing symptom severity in unmedicated adolescent females with sF < (ID+, blue) v. ⩾20 ng/mL (ID−, orange), adjusted for age. (B) Same comparison but between those with sF < (ID++, green) v. ⩾15 ng/mL (ID−−, purple).

Figure 2

Fig. 2. Cohen's d for the differences in least squares means for basal ganglia structures volumes in females with sF < (ID++, green) v. ⩾15 ng/mL (ID−−, purple), accounting for age and total intracranial volume.

Figure 3

Table 2. Least squares means for basal ganglia structures volumes (mL) in unmedicated female adolescents (n = 24) with iron deficiency v. those without, adjusted for age and intracranial volume

Supplementary material: File

Abbas et al. supplementary material

Abbas et al. supplementary material

Download Abbas et al. supplementary material(File)
File 268.9 KB