| Literature DB >> 23460869 |
Tanja Jaeggi1, Diego Moretti, Jane Kvalsvig, Penny A Holding, Harold Tjalsma, Guus A M Kortman, Irma Joosten, Alice Mwangi, Michael B Zimmermann.
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.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23460869 PMCID: PMC3583867 DOI: 10.1371/journal.pone.0057513
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the study population.
| Variable | Male | Female | Both |
|
| 173 (51.0%) | 166 (49.0%) | 339 |
|
| 6.0 (1.1) | 6.1 (1.1) | 6.0 (1.1) |
|
| 102.2 (11.8) | 103.6 (11.1) | 102.9 (10.1) |
|
| 99.6 (1.8) | 84.6 (1.8) | 91.9 (1.8) |
|
| |||
|
| 24.1 (2.5) | 32.2 (2.7) | 27.8 (2.6) |
|
| 21.5 (2.5) | 29.5 (2.6) | 24.9 (2.6) |
|
| 5.8 (1.4) | 5.4 (1.4) | 5.6 (1.4) |
|
| 1.7 (4.8) | 2.3 (4.4) | 2.0 (4.6) |
|
| 4.9 (3.5) | 7.2 (3.3) | 6.0 (3.4) |
|
| 11.9 (1.9) | 11.7 (1.9) | 11.8 (1.9) |
|
| 160.7 (2.1) | 175.5 (2.2) | 167.1 (2.1) |
|
| 50 (28.9%) | 57 (34.3%) | 103 (30.7%) |
|
| 132 (76.3%) | 107 (64.5%) | 239 (70.5%) |
|
| 51 (29.8%) | 35 (21.3%) | 86 (25.7%) |
|
| 31 (18.3%) | 22 (13.6%) | 53 (15.6%) |
|
| 36 (20.5%) | 23 (14.0%) | 59 (17.4%) |
|
| 50 (29.2%) | 29 (17.7%) | 79 (23.6%) |
|
| 3.2 (1.2) | 3.1 (1.2) | 3.1 (1.2) |
|
| −0.9 (1.2) | −0.7 (1.2) | −0.8 (1.2) |
|
| −0.4 (1.2) | −0.4 (1.2) | −0.4 (1.2) |
|
| 0.1 (1.2) | −0.03 (1.3) | 0.06 (1.3) |
|
| 117.4 (11.5) | 116.3 (12.0) | 116.9 (11.7) |
Estimates are mean (±SD) or number (%) unless indicated otherwise.
geometric mean (±SD).
CRP>4.1 mg/L.
conversion factor: 1 ng/mL = 0.358 nM.
Hb <110 g/L.
SF <12 ng/mL or sTfR ≥7.4 mg/L.
Concurrent ID and Anemia.
Figure 1Median 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.
Spearman correlation coefficients (rho) from iron and inflammation markers and anthropometric data of the study infants.
| ZPP | SF | sTfR | CRP | Hepcidin | IL-6 | Gender | BW | Weight | Height | |
|
| −.498 | .242 | −.431 | −.144 | .186 | −.132 | .107 | .107 | −.135 | .009 |
|
| − | −.439 | .628 | −.002 | −.437 | −.001 | .205 | −.170 | .205 | .010 |
|
| − | − | −.417 | .251 | .609 | .210 | .144 | .201 | −.195 | −.134 |
|
| − | − | − | .017 | −.371 | .065 | −.158 | −.161 | .130 | .056 |
|
| − | − | − | − | .426 | .554 | .122 | .014 | −.037 | −.056 |
|
| − | − | − | − | − | .358 | .206 | .131 | −.232 | −.152 |
|
| − | − | − | − | − | − | .011 | .062 | −.116 | −.034 |
|
| − | − | − | − | − | − | − | −.113 | −.258 | −.243 |
|
| − | − | − | − | − | − | − | − | .213 | .135 |
|
| − | − | − | − | − | − | − | − | − | .632 |
P<0.01;
P<0.05; BW = birth weight.
Results of linear regression analyses for serum hepcidin (ng/mL) in the total population and by gender separately.
| Total population | Male | Female | |||||||
| (n = 141) | (n = 65) | (n = 76) | |||||||
| B | SE B | β | B | SE B | β | B | SE B | β | |
|
| 1.264 | .274 | .987 | .471 | 1.606 | .326 | |||
|
| .168 | .039 | .273 | .162 | .059 | .288 | .168 | .058 | .257 |
|
| .306 | .088 | .221 | .287 | .141 | .207 | .323 | .122 | .242 |
|
| −.574 | .125 | −.337 | −.390 | .213 | −.218 | −.670 | .163 | −.414 |
|
| −.101 | .157 | −.044 | −.126 | .230 | −.063 | −.130 | .246 | −.050 |
|
| .246 | .056 | .274 | .267 | .113 | .265 | .244 | .066 | .297 |
|
| −.052 | .020 | −.151 | −.056 | .027 | −.187 | −.051 | .031 | −.128 |
|
| .076 | .043 | .097 | − | − | − | − | − | − |
Note: Adjusted R2 Total = .595; Adjusted R2 Male = .553; Adjusted R2 Female = .586;
P<0.001;
P<0.05. The dependent variable hepcidin and the independent variables were log-transformed before inclusion in the models. Interpretation for these betas is as follows: 1% change in the independent variable corresponds to a beta% change in the dependent variable.
Mean levels of cytokines and fecal calprotectin and their correlation with hepcidin and CRP.
| Geometric mean (± SD) | Correlation (rho) with Hepcidin | Correlation (rho) with CRP | |
|
| 18.5 (2.5) | .023 | .257 |
|
| 24.0 (1.6) | .084 | .261 |
|
| 12.0 (7.5) | .086 | .252 |
|
| 4.5 (1.7) | .021 | .159 |
|
| 11.8 (1.9) | .405 | .538 |
|
| 42.5 (2.4) | .190 | .291 |
|
| 28.4 (1.5) | .093 | .265 |
|
| 3.0 (3.7) | −.034 | −.052 |
|
| 9.5 (2.7) | −.040 | .088 |
|
| 8.2 (3.1) | −.002 | .194 |
|
| 237.3 (2.0) | .011 | .179 |
|
| 38.7 (2.1) | .216 | .383 |
|
| 167.1 (2.1) | −.087 | −.088 |
P<0.01;
P<0.05.
Figure 2Scatter 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.
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).
| 95% reference range | ||||
| Geometric Mean | P2.5 | P97.5 | ||
|
|
| 1.5 | 0.0 | 5.3 |
|
| 4.1 | 0.1 | 14.8 | |
|
|
| 3.2 | 0.1 | 18.2 |
|
| 9.0 | 0.3 | 50.1 | |
|
|
| 2.3 | 0.1 | 18.1 |
|
| 6.4 | 0.2 | 50.6 | |