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Iron Status and Systemic Inflammation, but Not Gut Inflammation, Strongly Predict Gender-Specific Concentrations of Serum Hepcidin in Infants in Rural Kenya

Abstract

Hepcidin regulation by competing stimuli such as infection and iron deficiency has not been studied in infants and it’s yet unknown whether hepcidin regulatory pathways are fully functional in infants. In this cross-sectional study including 339 Kenyan infants aged 6.0±1.1 months (mean±SD), we assessed serum hepcidin-25, biomarkers of iron status and inflammation, and fecal calprotectin. Prevalence of inflammation, anemia, and iron deficiency was 31%, 71%, 26%, respectively. Geometric mean (±SD) serum hepcidin was 6.0 (±3.4) ng/mL, and was significantly lower in males than females. Inflammation (C-reactive protein and interleukin-6) and iron status (serum ferritin, zinc protoporphyrin and soluble transferrin receptor) were significant predictors of serum hepcidin, explaining nearly 60% of its variance. There were small, but significant differences in serum hepcidin comparing iron deficient anemic (IDA) infants without inflammation to iron-deficient anemic infants with inflammation (1.2 (±4.9) vs. 3.4 (±4.9) ng/mL; P<0.001). Fecal calprotectin correlated with blood/mucus in the stool but not with hepcidin. Similarly, the gut-linked cytokines IL-12 and IL-17 did not correlate with hepcidin. We conclude that hepcidin regulatory pathways are already functional in infancy, but serum hepcidin alone may not clearly discriminate between iron-deficient anemic infants with and without infection. We propose gender-specific reference values for serum hepcidin in iron-replete infants without inflammation.

Introduction

Hepcidin, a 25-amino acid peptide produced and secreted mainly by hepatocytes, is a major regulator of systemic iron homeostasis [1], [2]. Hepcidin regulates iron efflux from macrophages and enterocytes through its binding to ferroportin and subsequent internalization of the receptor-ligand complex [3], [4]. It may also reduce intestinal iron absorption through ubiquitin-dependent proteasome degradation of divalent metal transporter 1 (DMT1) on the luminal enterocyte membrane [5].

Serum hepcidin transcription is decreased in iron deficiency, hypoxia and by erythropoietic stimuli, and it is increased in infection, inflammation and iron overload [2], [6][8]. Iron status regulates hepcidin expression primarily through the bone morphogenic protein/hemojuvelin (BMP/HJV) pathway, while infection and inflammatory cytokines such as interleukin-6 (IL-6) increase hepcidin transcription mainly through the Janus kinase/signal transducers and activators of transcription (JAK/STAT) pathway [9], [10].

The regulation of circulating hepcidin by concurrent and competing stimuli such as infection and iron deficiency has not been extensively studied in humans. Infants, particularly in low-income countries, are highly vulnerable to both, serious infections and iron deficiency [11]. Hepcidin may be a sensitive marker for iron utilization and absorption, but little data is available on hepcidin concentration and its relationship to established markers in population studies. A previous study in anemic Tanzanian children, aged 2 months to 13 years, showed high concentrations of urine hepcidin were associated with malaria, which could contribute to malarial anemia and an impaired erythropoietic response to iron supplementation [12]. In addition it was shown, that asymptomatic malarial parasitemia was associated with increased serum hepcidin concentrations and anemia in Indonesian schoolchildren, aged 5–15 years [13]. Moreover, a recent study in anemic Gambian children, aged 1.5–3 years, showed, that serum hepcidin was the major predictor of erythrocyte iron incorporation [14]. Together, these studies advocate a low-cost hepcidin assay to improve safety and efficacy of iron supplementation programs for children in developing countries. However, no published data are yet available on how inflammation and iron status interact to determine serum hepcidin concentrations in very young infants at the age of 6 month. As immune responses and hepatic metabolism are not fully mature in early infancy, hepcidin regulatory pathways may not yet be fully functional. Moreover, although reference values for serum hepcidin have been proposed for adults [15], there are no published data on serum hepcidin concentrations in healthy, iron sufficient, non-anemic infants.

Therefore, the aims of this study were to (a) investigate how iron status and inflammation interact to predict serum hepcidin concentrations in African infants, aged 6 month, in a low-income rural setting; and (b) propose a reference values for serum hepcidin in healthy, term, iron sufficient African infants.

Methods

Ethics Statement

Ethical approval was given by committees at the Kenyatta National Hospital/University of Nairobi (KNH-ERC/A/337), the University of KwaZulu-Natal (BF121/08), and the Swiss Federal Institute of Technology Zurich (EK 2009-N-53). Written informed consent was obtained from the care-givers. The trial was registered at clinicaltrials.gov (NCT01111864).

Study Population and Design

We conducted a cross-sectional study as part of an iron intervention trial in Kenyan infants. From February 2010 to August 2011, we recruited 5–7 months old infants (n = 339) in the rural Msambweni district of southern coastal Kenya. The study period included two long rainy seasons from April to July (2010 and 2011) and a short rainy season from October to November 2010. Most families in this area live from subsistence farming with maize as the staple crop.

Malaria, fever, and diarrhea morbidity over the previous 3 months was assessed by questionnaire from mother’s recall, with a focus on the previous 1 week and on the day of sample collection (confirmed by health personnel). Feeding history (breastfeeding and complementary feeding) was assessed via mother’s recall. The antenatal card (n = 148) or mothers’ recall was used to record birth history and included mode of delivery, birth date and birth weight. Preterm birth was defined as registered birth before the 37th week of gestation. Infant weight was measured to the nearest 100 g using a hanging scale (Salter model number 235-6S, 25 kg×100 g; Salter Brecknell, UK) and height to the nearest 0.1 cm using a measurement board (Shorr Production, LLC., Olney, MD). A whole blood sample was taken by venipuncture in the infants and a finger prick was done to measure the hemoglobin in their mothers. In a subgroup of infants (n = 148) we collected a stool sample.

Laboratory Methods

Hemoglobin (Hb) was measured by using a HemoCue (HemoCue AB, Ängelholm, Sweden) or a HemoControl device (EKF diagnostics Sales GmbH, Barleben/Magdeburg, Germany) from a venous blood sample (3 mL) in the infants or a finger prick in their mothers. Serum was separated by centrifugation on collection day. The remaining erythrocytes were washed 3 times with normal saline and the zinc protoporphyrin to heme ratio (ZPP) was measured by using a calibrated AVIV hematofluorometer (AVIV Biomedical, Lakewood, USA). Serum ferritin (SF), soluble transferrin receptor (sTfR) and C-reactive protein (CRP) were measured at Lancet Laboratories Nairobi by using the Cobas Integra (Roche, Basel, Switzerland). The lower limit of detection (LLOD) for CRP was 0.9 mg/L. The following cut-offs were used: (a) anemia: Hb <110 g/L for infants and <120 g/L for adult women [16], (b) iron deficiency: SF <12 ng/mL [16] or sTfR ≥7.4 mg/L [17], and (c) elevated CRP: ≥4.1 mg/L (manufacturer’s reference range).

Frozen serum was transported to the Netherlands (Radboud University Medical Centre, Nijmegen) and serum hepcidin measurements were performed by a combination of weak cation exchange chromatography and time-of-flight mass spectrometry (WCX-TOF MS) [18]. An internal standard (synthetic hepcidin-24; Peptide International Inc.) was used for quantification [19]. Peptide spectra were generated on a Microflex LT matrix-enhanced laser desorption/ionisation TOF MS platform (Bruker Daltonics). Serum hepcidin-25 concentrations were expressed as nM and calculated to ng/mL (1 nM = 2.789 ng/mL). The LLOD of this method was 0.5 nM or 1.4 ng/mL, respectively. For comparison of WCX-TOF MS generated data with a previously used enzyme-linked immune-sorbent assay (ELISA) [15], hepcidin values were recalculated using the equation (ELISA-1.00)/1.52 = WCX-TOF MS determined by Kroot et al. [18].

Serum levels of human IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IFNγ, TNFα, and GM-CSF were determined in 156 infants by using a human cytokine multiplex kit (Cytokine 10-plex panel, Invitrogen, Breda, Netherlands) according to the manufacturer’s instructions. The LLOD of these cytokine assays was 15 pg/mL, 10 pg/mL, 5 pg/mL, 3 pg/mL, 3 pg/mL, 10 pg/mL, 5 pg/mL, 15 pg/mL, 5 pg/mL, 10 pg/mL, respectively. Serum levels of human IL-12 (p40/p70) and IL-17 were determined in 39 samples by using Singleplex bead kits (Invitrogen), also according to the manufacturer’s instructions. The LLODs were 15 pg/mL and 20 pg/mL, respectively.

Stool samples were stored at −20°C until analysis. Fecal calprotectin, a marker for intestinal inflammation, was measured in 148 stool samples using an ELISA (Calprest, Eurospital, Trieste, Italy).

Statistical Analysis

All data were analyzed using IBM SPSS Statistics 20.0.0 (SPSS Inc., Chicago, IL) and Microsoft Office EXCEL 2010 (Microsoft, Redmond, WA). Values for samples that were below the LLOD for serum hepcidin, CRP and the cytokines were imputed using randomly generated numbers between 0 and the specific LLODs. Weight-for-age (WAZ), height-for-age (HAZ), weight-for-height (WHZ), and BMI-for age (BAZ) z-scores were calculated using the WHO Anthro software (version 3.2.2) and standards. Definition for stunting was a HAZ<-2 and for wasting a WHZ<-2 [20].

The distribution of the data was checked for normality and log transformation was performed, if needed, on non-normally distributed data and for the calculation of the geometric means (GM). Spearman correlation coefficients (rho) were determined to assess the relationship of serum hepcidin with iron status, inflammation and morbidities. Independent samples t-test and the Mann-Whitney U were used to compare serum hepcidin, iron status indices, and CRP values among groups. To explore associations between hepcidin, iron status, and inflammation, linear regression models were fitted with hepcidin, Hb, SF, sTfR, ZPP as the dependent variables. In iron replete (SF ≥12 ng/mL and sTfR <7.4 mg/L), non-anemic (Hb ≥110 g/L), full-term infants without inflammation (elevated CRP), reference values for serum hepcidin were calculated and presented as geometric means (GM) and the 2.5 and 97.5 percentiles (P2.5 and P97.5).

Results

Study Population

The sample included 339 mother-infant pairs. Mean (±SD) maternal age was 26 (±6.4) years, body mass index (BMI) was 21.3 (±3.1) kg/m2, and Hb was 116.9 (±11.7) g/L; nearly half (49.2%) of the women were anemic. Among the mothers, 95.9% were breastfeeding (n = 325) and 86.4% (n = 293) were giving complementary foods, predominantly sweetened maize gruel (“uji”), starting from four months post-delivery. Of the infants, 61.9% were born at home, 33.9% in hospital; 3.5% were preterm and 1.8% were delivered by Caesarian section. Mean (±SD) age of the infants at assessment was 6.0 (±1.1) months, and mean weight-for-age and height-for-age z-scores were −0.4 and −0.8, respectively; 4.1% of infants were wasted and 14.7% were stunted. The prevalence of anemia, iron deficiency and IDA was high: 70.5%, 25.4% and 22.4%, respectively (Table 1).

Infectious Diseases

There was a high burden of infectious disease among the infants. Systemic inflammation (elevated CRP) was present in nearly one-third (30.7%) of infants, and 119 (35.1%) had a CRP below the LLOD of 0.9 mg/L. Based on maternal reports, 6.2% of infants were currently passing watery or loose stools, 1.5% were passing more than 4 stools a day, and 17.1% reported blood or mucus in the stools. One infant had malaria on the day of the venipuncture (assessed by a Giemsa stained blood smear), and 7.4% of infants had had malaria in the previous 3 months (reported by caretaker). Mothers reported 8% of infants had received antibiotics, 2.9% supplements for diarrhea, and 2.7% treatment for intestinal parasites (reported as “worms”) within the previous week.

Serum Hepcidin and its Interaction with Biochemical, Anthropometric and Health Markers

Among infants, geometric mean (GM, (±SD)) serum hepcidin was 6.0 (±3.4) ng/mL (Table 1), and was below the lower limit of detection (LLOD) in 51 (15.0%) infants. Serum hepcidin was significantly lower in males than in females (GM (±SD) 4.9 (±3.5) ng/mL vs. 7.2 (±3.3) ng/mL; P<0.05; Figure 1, (1) total population). Infants born preterm had significantly lower serum hepcidin (0.7 (±7.0) ng/mL (58% below LLOD) vs. 7.1 (±3.9) ng/mL (13% below LLOD); P<0.05) and higher ZPP values (143.7 (±1.9) mol/mol heme vs. 83.8 (±1.8) mol/mol heme; P<0.05) compared to full-term infants. There were no statistically significant differences in Hb, SF, TfR and CRP concentrations comparing preterm to term infants, but these comparisons were limited as only 3.5% of infants were known to be born preterm.

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Figure 1. Median levels, lower and upper quartile plus standard error, of serum hepcidin (ng/mL) by sex, measured in different subgroups.

Criteria for subgroups were as follows: (1) total population; (2) no iron deficiency (ID), no anemia, and no elevated CRP concentration; (3) ID and anemia (IDA), but no elevated CRP concentration; (4) no ID and anemia, but elevated CRP concentration; (5) IDA and elevated CRP concentration. Cut-offs were as follows: anemia: Hb <110 g/L; ID: SF <12 ng/mL or sTfR ≥7.4 mg/L; IDA: concurrent anemia and ID; no ID: SF ≥12 ng/mL and sTfR <7.4 mg/L; elevated CRP: CRP≥4.1 mg/L. Note: all individuals with ID and no elevated CRP were anemic. Letters (a, b, c, d, e, and f) indicate significant differences at P<0.05.

https://doi.org/10.1371/journal.pone.0057513.g001

Serum hepcidin was significantly correlated with Hb, ZPP, SF, sTfR, CRP, IL-6, weight, height, gender and premature birth (Table 2). There were no significant correlations of serum hepcidin with maternal Hb, place of delivery (hospital or home) or infectious disease history. In the multiple linear regression analyses including gender and weight-for-age z-score (WAZ); CRP (β = .273), IL-6 (β = .221), ZPP (β = −.337), and SF (β = .274) were significant predictors of serum hepcidin, resulting in an adjusted R2 of.595 (P<0.001; Table 3). CRP and IL-6 together explained 22.8% of the variance in serum hepcidin (adjusted R2 = .228). Omitting CRP and IL-6 from the model, the remaining iron biomarkers explained 36.7% of the variance in serum hepcidin (adjusted R2 = .367). Replacing ZPP with sTfR (β = −.202, P<0.001) did not change the predictive power of the model. ZPP and sTfR correlated strongly (Spearman coefficient rho = .628, P<0.001; Table 2), and including one of these predictors in the regression model explained nearly the same variance in serum hepcidin as both together. IL-6 was the only cytokine with a significant correlation with hepcidin (rho = .358; P<0.01, Table 2); moreover IL-6 correlated with SF (rho = .210; P<0.01) and CRP (rho = .554; P<0.01). IL-5 correlated with Hb (rho = −.176; P<0.05), and IL-12 with SF (rho = −.364; P<0.05). Most interleukins correlated with CRP, but not with serum hepcidin (Table 4).

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Table 2. Spearman correlation coefficients (rho) from iron and inflammation markers and anthropometric data of the study infants.

https://doi.org/10.1371/journal.pone.0057513.t002

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Table 3. Results of linear regression analyses for serum hepcidin (ng/mL) in the total population and by gender separately.

https://doi.org/10.1371/journal.pone.0057513.t003

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Table 4. Mean levels of cytokines and fecal calprotectin and their correlation with hepcidin and CRP.

https://doi.org/10.1371/journal.pone.0057513.t004

The gender-specific regression models had a R2 of.553 and.586 in male and female infants respectively (Table 3). Serum ferritin was a stronger predictor of hepcidin in females (β = .297, P<0.001) than in males (β = .265, P<0.05), while CRP was a slightly stronger predictor of hepcidin in males (β = .288, P<0.001) compared to females (β = .257, P<0.001). WAZ was a significant predictor (P<0.05) for hepcidin in the total population and in female infants, but not in male infants.

CRP correlated significantly with SF (rho = .251; P<0.01), Hb (rho = −.144; P<0.01), and hepcidin (rho = .426; P<0.01), but not with sTfR and ZPP. Figure 2 shows scatterplots of hepcidin with inflammation and iron markers. Separate linear regression analyses with the iron markers (Hb, SF, sTfR, ZPP and hepcidin) as dependent variables and inflammation markers (CRP and cytokines) as independent variables, identified CRP as a significant predictor for SF (β = .254; P<0.001), Hb (β = −.185; P = 0.001) and hepcidin (β = .394; P<0.001), but not for sTfR and ZPP. CRP and the cytokines together resulted in an R2 of.345 (P<0.05) for the prediction of SF concentration, whereas sTfR and ZPP were not predicted by CRP and cytokines.

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Figure 2. Scatter plots and regression equations derived from the correlation of inflammation markers (A: CRP and B: IL-6) and iron markers (C: SF, D: sTfR, and E: ZPP) with serum hepcidin.

https://doi.org/10.1371/journal.pone.0057513.g002

Fecal Calprotectin

Geometric mean (±SD) of fecal calprotectin (FC) was 167 (±1.0) mg/kg. Calprotectin did not correlate with any other inflammation or iron marker, but it correlated significantly with weight (rho = −.258; P<0.01) and the report of the mothers of blood or mucus in stool (rho = −.256; P<0.01). Fecal calprotectin values did not correlate with any other morbidity indices or the duration of breastfeeding. Only four mothers reported current diarrhea (reported as 4 or more loose stools a day) in their children, in 3 of them FC values are available. There was a trend for a significant correlation between diarrhea cases and FC (rho = −.158; P = 0.06). Girls had slightly higher fecal calprotectin values (GM (± SD)) than boys, of 175.5 (±1.0) mg/kg and 160.7 (±1.0) mg/kg, respectively. Fecal calprotectin did not correlate with the gut-linked cytokines IL-12 and IL-17 measured in serum, and these cytokines did not correlate with hepcidin.

Subgroup Analysis of Serum Hepcidin According to Iron and Inflammation Status

Figure 1 shows gender-stratified serum hepcidin concentration in different subgroups based on inflammation (measured by CRP) and iron status and anemia. Twenty-nine male and thirty-nine female infants were iron sufficient, non-anemic and had no elevated CRP. The reference values for serum hepcidin from these were 4.1 ng/mL in male and 9.0 ng/mL in female infants (Table 5). Serum hepcidin (GM ±SD) in iron deficient infants without elevated CRP were low (1.0 (±4.2) ng/mL and 1.5 (±3.8) ng/mL for males and females respectively); 23 out of the 36 males (63.9%) and 9 out of the 18 females (50.0%) had serum hepcidin concentration below the detection limit of 1.4 ng/mL. We found small, though significant differences in mean hepcidin concentration comparing iron deficient anemic infants without inflammation (3 in Figure 1) to iron deficient anemic infants with inflammation (5 in Figure 1; 1.2 (±4.9) ng/mL vs. 3.4 (±4.9) ng/mL; P<0.001).

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Table 5. Reference values for serum hepcidin (nM and ng/mL) from non-anemic, iron replete, Kenyan infants without elevated CRP (CRP<4.1 mg/L AND SF ≥12 ng/mL AND sTfR <7.4 mg/L AND Hb ≥110 g/L).

https://doi.org/10.1371/journal.pone.0057513.t005

Discussion

We are not aware of previous reports of serum hepcidin (hepcidin-25) concentrations in young full-term infants. Previous data on serum hepcidin in infancy is limited to measurements in preterm infants, low birth weight newborns in cord blood and children over the age of 18 months [13][15]. Pro-hepcidin concentrations in healthy non-anemic Turkish infants were reported to be 118±102.2 ng/mL (mean ± SD) [21], although it is questionable whether these reflect any physiological relevance [22], [23]. In our Kenyan male infants, hepcidin concentrations were much lower than those previously found in 18–24 years old Dutch men and adapted for the differences in methods (4.1 ng/mL vs 14.9 ng/mL) [15]. In female Kenyan infants, however, we found higher values (9.0 ng/mL vs 2.9 ng/mL) than in 18–24 years old women from the previously mentioned Dutch population. Therefore, in contrast to serum hepcidin concentrations in adults where males have generally higher values than females [15], [24], serum hepcidin in our study was found to be around 50% higher in female infants than in males, after controlling for weight and height. In our regression model including iron status (sTfR, SF and ZPP) and inflammation markers (CRP and IL-6), gender is not a significant predictor (Table 3). This gender difference in hepdicin concentration can mainly be explained by the lower overall iron status in males, and the higher CRP concentration in females. Several studies have reported higher rates of anemia and lower iron status in male compared to female infants [25][29], which were attributed to gender-specific growth rates [26] or hormone-mediated differences in iron metabolism [29]. However, more research is needed to elucidate gender-differences in iron status in infants. The percentage of exclusively breastfed infants was slightly higher in males (6.6%) compared to females (3.1%). Even if not statistically significant, the higher proportion of breastfed boys may contribute to the lower prevalence of infection in boys found in this population group; as breast milk has shown to be protective against infectious diseases [30].

This study demonstrates that circulating hepcidin-25 concentrations are strongly predicted by both infection/inflammation markers (CRP and IL-6) and iron status markers (SF, ZPP and sTfR) in infants in rural sub-Saharan Africa. These data suggest that the known adult hepcidin regulatory pathways are functioning well as early as 6 months of age. Inflammation and iron status explained nearly 60% of the variance in serum hepcidin, with a roughly equal contribution from each in this setting: CRP and IL-6 explained 23% of the variance in serum hepcidin, SF alone (a reflection of both iron status and, as an acute-phase protein, inflammation) explained 32% of the variance, while ZPP and sTfR together explained 21% (ZPP alone 20% and sTfR 12%, respectively). In a previous study, in cord blood from low birth weight newborns and preterm infants, circulating hepcidin concentration was also correlated with iron status [31], [32]. Also in Dutch adults, the strongest predictor of serum hepcidin was SF (R2 = .58 and R2 = .62 in adult men and women, respectively), followed by CRP [15], but infection/inflammation is much more common in our sample of Kenyan infants. Notably, hepcidin levels in iron deficient and anemic (IDA) children with elevated CRP were significantly lower than those in non-anemic children with elevated CRP. Although IDA children with inflammation tended to have higher hepcidin levels compared to IDA children without inflammation, this difference was significant in male infants only (Figure 1). These findings suggest that the inflammation mediated stimuli (through IL-6) are to a large extent overruled by iron demand and erythropoiesis stimuli down regulating hepcidin synthesis.

Defining iron status in Sub-Saharan Africa and other settings with a high burden of infectious disease is difficult [33]. The use of SF is limited by its confounding by inflammation, and ZPP and sTfR have been proposed as preferable indices in these settings, although ZPP may also be confounded by inflammation and sTfR by the rate of erythropoesis. In our infant population, CRP correlated significantly with SF but not with sTfR and ZPP. In a multiple regression model, CRP and the cytokines together explained SF with an R2 of.345 (P<0.005), whereas sTfR and ZPP were not predicted by CRP and the cytokines. Thus, these data suggest sTfR and ZPP are suitable iron biomarkers in this age group and setting, but standardized cut-offs for infants are needed [34][36].

CRP, a downstream biomarker of inflammation, was a major predictor of serum hepcidin in our infant population. IL-6 induces hepcidin expression [37], [38] and it is thought that the increase in circulating hepcidin during infection/inflammation is primarily mediated by IL-6 [23]. The inclusion of IL-6 in our regression analysis significantly increased the variance in serum hepcidin explained by the model (R2 = .587). CRP and IL-6 together showed an adjusted R2 of.228, while the adjusted R2 of CRP and IL-6 alone was.199 and.162, respectively. These data suggest other factors, along with IL-6, may increase CRP during inflammation; however, IL-6 was the only cytokine with a significant correlation with serum hepcidin in our models.

Fecal calprotectin (FC), a biomarker of localized gut inflammation, was correlated with the report of recent blood or mucus in the infant stool. Similarly, there was a borderline significant trend for a correlation of FC with the few cases of diarrhea reported in this population at the time of assessment. However, FC was not correlated with systemic inflammation, as measured by CRP or the cytokines. Especially, IL-12 and IL-17, which have been linked to gut inflammation [39], [40], did not show any correlation with FC. Furthermore, FC, IL-12 and IL-17 were not correlated with serum hepcidin, suggesting that gut inflammation is not a predictor for hepcidin in this population. It should however be noted that, except for IL-6, none of the other measured cytokines were correlated with hepcidin. Gut inflammation has been associated with an IL-6-mediated hepcidin increase in a mouse model for intestinal colitis, but results in humans with inflammatory bowel disease (IBD) are equivocal [41]. The young age of the Kenyan infants, which is associated with a developing gut microbiota and immature intestinal immune system [42], might play a role in the absence of hepcidin induction in the infants with increased FC levels. Higher values of FC have been reported in breastfed compared to formula fed Italian infants [43], however, in our population duration of breastfeeding did not predict FC. The younger Italian infants (2–13 weeks) showed median FC concentration of 555 mg/kg, thrice as high than in our Kenyan infant population (167.1 mg/kg) [43]. However, healthy Ugandan infants aged 0–1 years had a median FC of 249 mg/kg, similar to our study population [44].

The present study provides important data on serum hepcidin concentration in iron replete, iron deficient, and iron deficient anemic infants in rural sub-Saharan Africa. We also propose a gender-specific reference values for serum hepcidin measured by WCX-TOF MS in healthy, full-term, iron replete, non-anemic African infants. The association of hepcidin with iron status and infection markers in infancy indicates the potential relevance of hepcidin as iron status marker in this population group. Our data shows significant differences in hepcidin concentration in IDA infants with and without inflammation. However, a separate analysis of this subgroup by sex resulted in significant differences in boys, but not in girls. Furthermore the size of the differences and the relatively large standard deviations also suggest that serum hepcidin alone may not provide sufficient discriminatory power between anemic infants with and without inflammation (Figure 1). Thus, because provision of iron to infants with infections may be dangerous in certain settings, more research is clearly needed on the potential utility of hepcidin as a point-of-care marker to increase the safety of iron supplementation in infants and children in the developing world, as has been proposed [12], [13]. In addition, our data suggest serum hepcidin is not correlated with gut inflammation during infancy; thus, the potential local injurious effect of dietary iron supplements on infectious or inflammatory intestinal disease [45], [46] may not be predicted by serum hepcidin levels. In conclusion, although promising, our study underscores that the potential clinical advantage of serum hepcidin to guide safe iron supplementation in infancy needs further clarification.

Author Contributions

Managed study site and sample collection: TJ JK PAH. Conceived and designed the experiments: TJ DM JK PAH AM MBZ. Performed the experiments: TJ HT GAMK IJ. Analyzed the data: TJ DM MBZ. Contributed reagents/materials/analysis tools: MBZ HT IJ. Wrote the paper: TJ DM MBZ.

References

  1. 1. Nemeth E, Ganz T (2009) The role of hepcidin in iron metabolism. Acta Haematol 122(2–3) 78–86.
  2. 2. Hentze MW, Muckenthaler MU, Galy B, Camaschella C (2010) Two to tango: regulation of Mammalian iron metabolism. Cell 142(1) 24–38.
  3. 3. Nemeth E, Tuttle MS, Powelson J, Vaughn MB, Donovan A, et al. (2004) Hepcidin regulates cellular iron efflux by binding to ferroportin and inducing its internalization. Science. 306(5704): 2090–3.
  4. 4. Kemna EH, Tjalsma H, Willems HL, Swinkels DW (2008) Hepcidin: from discovery to differential diagnosis. Haematologica 93(1): 90–7.
  5. 5. Brasse-Lagnel C, Karim Z, Letteron P, Bekri S, Bado A, et al.(2011) Intestinal DMT1 cotransporter is down-regulated by hepcidin via proteasome internalization and degradation. Gastroenterology 140(4): 1261–71 e1.
  6. 6. Nemeth E, Rivera S, Gabayan V, Keller C, Taudorf S, et al. (2004) IL-6 mediates hypoferremia of inflammation by inducing the synthesis of the iron regulatory hormone hepcidin. The Journal of clinical investigation 113(9): 1271–6.
  7. 7. Wessling-Resnick M (2010) Iron homeostasis and the inflammatory response. Annu Rev Nutr 30: 105–22.
  8. 8. Pigeon C, Ilyin G, Courselaud B, Leroyer P, Turlin B, et al. (2001) A new mouse liver-specific gene, encoding a protein homologous to human antimicrobial peptide hepcidin, is overexpressed during iron overload. J Biol Chem 276(11): 7811–9.
  9. 9. Beutler E (2007) Iron storage disease: facts, fiction and progress. Blood Cells Mol Dis 39(2): 140–7.
  10. 10. Krijt J, Jonasova A, Neuwirtova R, Necas E (2010) Effect of erythropoietin on hepcidin expression in hemojuvelin-mutant mice. Blood Cells Mol Dis 44(4): 257–61.
  11. 11. Lonnerdal B, Kelleher SL (2007) Iron metabolism in infants and children. Food Nutr Bull 28(4 Suppl): S491–9.
  12. 12. de Mast Q, Nadjm B, Reyburn H, Kemna EH, Amos B, et al. (2009) Assessment of urinary concentrations of hepcidin provides novel insight into disturbances in iron homeostasis during malarial infection. The Journal of infectious diseases 199(2): 253–62.
  13. 13. de Mast Q, Syafruddin D, Keijmel S, Olde Riekerink T, Deky O, et al. (2010) Increased serum hepcidin and alterations in blood iron parameters associated with asymptomatic P. falciparum and P. vivax malaria. Haematologica 95(7): 1068–74.
  14. 14. Prentice AM, Doherty CP, Abrams SA, Cox SE, Atkinson SH, et al. (2012) Hepcidin is the major predictor of erythrocyte iron incorporation in anemic African children. Blood 119(8): 1922–8.
  15. 15. Galesloot TE, Vermeulen SH, Geurts-Moespot AJ, Klaver SM, Kroot JJ, et al. (2011) Serum hepcidin: reference ranges and biochemical correlates in the general population. Blood 117(25): e218–25.
  16. 16. WHO (2001). Iron deficiency and anemia: assessment prevention and control. A guide for programme managers. Geneva, Switzerland: World Heatlh Organization.
  17. 17. Vendt N, Talvik T, Leedo S, Tomberg K, Kool P, et al. (2009) The reference limits and cut-off value for serum soluble transferrin receptors for diagnosing iron deficiency in infants. Int J Lab Hematol 31(4): 440–6.
  18. 18. Kroot JJ, Laarakkers CM, Geurts-Moespot AJ, Grebenchtchikov N, Pickkers P, et al. (2010) Immunochemical and mass-spectrometry-based serum hepcidin assays for iron metabolism disorders. Clin Chem 56(10): 1570–9.
  19. 19. Swinkels DW, Girelli D, Laarakkers C, Kroot J, Campostrini N, et al. (2008) Advances in quantitative hepcidin measurements by time-of-flight mass spectrometry. PLoS One 3(7): e2706.
  20. 20. WHO (2007) Anthro for personal computers. Version 2. Software for assessing growth and development of the world’s children. Geneva: World Health Organization. (World Health Organization website. Available: http://www.who.int/childgrowth/software/en/. Last accessed on September 10th 2012).
  21. 21. Ulukol B, Orhon FS, Hanoluk A, Akar N (2007) Serum pro-hepcidin levels and relationship with ferritin in healthy non-anaemic infants. Acta Haematol 118(2): 70–2.
  22. 22. Kemna EH, Kartikasari AE, van Tits LJ, Pickkers P, Tjalsma H (2008) Regulation of hepcidin: insights from biochemical analyses on human serum samples. Blood Cells Mol Dis 40(3): 339–46.
  23. 23. Kroot JJ, Tjalsma H, Fleming RE, Swinkels DW (2011) Hepcidin in human iron disorders: diagnostic implications. Clin Chem 57(12): 1650–69.
  24. 24. Ganz T, Olbina G, Girelli D, Nemeth E, Westerman M (2008) Immunoassay for human serum hepcidin. Blood 112(10): 4292–7.
  25. 25. Schneider JM, Fujii ML, Lamp CL, Lonnerdal B, Dewey KG, et al. (2008) The use of multiple logistic regression to identify risk factors associated with anemia and iron deficiency in a convenience sample of 12–36-mo-old children from low-income families. Am J Clin Nutr 87(3): 614–20.
  26. 26. Wieringa FT, Berger J, Dijkhuizen MA, Hidayat A, Ninh NX, et al. (2007) Sex differences in prevalence of anaemia and iron deficiency in infancy in a large multi-country trial in South-East Asia. Br J Nutr 98(5): 1070–6.
  27. 27. Pasricha SR, Black J, Muthayya S, Shet A, Bhat V, et al. (2010) Determinants of anemia among young children in rural India. Pediatrics 126(1): e140–9.
  28. 28. Soh P, Ferguson EL, McKenzie JE, Homs MY, Gibson RS (2004) Iron deficiency and risk factors for lower iron stores in 6–24-month-old New Zealanders. Eur J Clin Nutr 58(1): 71–9.
  29. 29. Domellof M, Lonnerdal B, Dewey KG, Cohen RJ, Rivera LL, et al. (2002) Sex differences in iron status during infancy. Pediatrics 110(3): 545–52.
  30. 30. WHO (2000) Effect of breastfeeding on infant and child mortality due to infectious diseases in less developed countries: a pooled analysis. WHO Collaborative Study Team on the Role of Breastfeeding on the Prevention of Infant Mortality. Lancet 355(9202): 451–5.
  31. 31. Berglund S, Lonnerdal B, Westrup B, Domellof M (2011) Effects of iron supplementation on serum hepcidin and serum erythropoietin in low-birth-weight infants. Am J Clin Nutr 94(6): 1553–61.
  32. 32. Muller KF, Lorenz L, Poets CF, Westerman M, Franz AR (2012) Hepcidin Concentrations in Serum and Urine Correlate with Iron Homeostasis in Preterm Infants. J Pediatr 160(6): 949–53.
  33. 33. Zimmermann MB, Molinari L, Staubli-Asobayire F, Hess SY, Chaouki N, et al. (2005) Serum transferrin receptor and zinc protoporphyrin as indicators of iron status in African children. Am J Clin Nutr 81(3): 615–23.
  34. 34. Grant FK, Martorell R, Flores-Ayala R, Cole CR, Ruth LJ, et al. (2012) Comparison of indicators of iron deficiency in Kenyan children. Am J Clin Nutr 95(5): 1231–7.
  35. 35. Grant FK, Suchdev PS, Flores-Ayala R, Cole CR, Ramakrishnan U, et al. (2012) Correcting for inflammation changes estimates of iron deficiency among rural Kenyan preschool children. J Nutr 142(1): 105–11.
  36. 36. Kung’u JK, Wright VJ, Haji HJ, Ramsan M, Goodman D, et al. (2009) Adjusting for the acute phase response is essential to interpret iron status indicators among young Zanzibari children prone to chronic malaria and helminth infections. J Nutr 139(11): 2124–31.
  37. 37. Wrighting DM, Andrews NC (2006) Interleukin-6 induces hepcidin expression through STAT3. Blood 108(9): 3204–9.
  38. 38. Kemna E, Pickkers P, Nemeth E, van der Hoeven H, Swinkels D (2005) Time-course analysis of hepcidin, serum iron, and plasma cytokine levels in humans injected with LPS. Blood 106(5): 1864–6.
  39. 39. Siegemund S, Schutze N, Schulz S, Wolk K, Nasilowska K, et al. (2009) Differential IL-23 requirement for IL-22 and IL-17A production during innate immunity against Salmonella enterica serovar Enteritidis. International immunology 21(5): 555–65.
  40. 40. Sarra M, Pallone F, Macdonald TT, Monteleone G (2010) IL-23/IL-17 axis in IBD. Inflamm Bowel Dis 16(10): 1808–13.
  41. 41. Cherayil BJ, Ellenbogen S, Shanmugam NN (2011) Iron and intestinal immunity. Current opinion in gastroenterology 27(6): 523–8.
  42. 42. Hooper LV, Littman DR, Macpherson AJ (2012) Interactions between the microbiota and the immune system. Science 336(6086): 1268–73.
  43. 43. Savino F, Castagno E, Calabrese R, Viola S, Oggero R, et al. (2010) High faecal calprotectin levels in healthy, exclusively breast-fed infants. Neonatology 97(4): 299–304.
  44. 44. Hestvik E, Tumwine JK, Tylleskar T, Grahnquist L, Ndeezi G, et al. (2011) Faecal calprotectin concentrations in apparently healthy children aged 0–12 years in urban Kampala, Uganda: a community-based survey. BMC Pediatr. 11: 9.
  45. 45. Kortman GA, Boleij A, Swinkels DW, Tjalsma H (2012) Iron availability increases the pathogenic potential of Salmonella typhimurium and other enteric pathogens at the intestinal epithelial interface. PloS one 7(1): e29968.
  46. 46. Werner T, Wagner SJ, Martinez I, Walter J, Chang JS, et al. (2011) Depletion of luminal iron alters the gut microbiota and prevents Crohn’s disease-like ileitis. Gut 60(3): 325–33.