14.11: Emerging iron status indicators (17.11)
- Page ID
- 117051
\( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)
\( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)
\( \newcommand{\dsum}{\displaystyle\sum\limits} \)
\( \newcommand{\dint}{\displaystyle\int\limits} \)
\( \newcommand{\dlim}{\displaystyle\lim\limits} \)
\( \newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\)
( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\)
\( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)
\( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\)
\( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)
\( \newcommand{\Span}{\mathrm{span}}\)
\( \newcommand{\id}{\mathrm{id}}\)
\( \newcommand{\Span}{\mathrm{span}}\)
\( \newcommand{\kernel}{\mathrm{null}\,}\)
\( \newcommand{\range}{\mathrm{range}\,}\)
\( \newcommand{\RealPart}{\mathrm{Re}}\)
\( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)
\( \newcommand{\Argument}{\mathrm{Arg}}\)
\( \newcommand{\norm}[1]{\| #1 \|}\)
\( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)
\( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\AA}{\unicode[.8,0]{x212B}}\)
\( \newcommand{\vectorA}[1]{\vec{#1}} % arrow\)
\( \newcommand{\vectorAt}[1]{\vec{\text{#1}}} % arrow\)
\( \newcommand{\vectorB}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)
\( \newcommand{\vectorC}[1]{\textbf{#1}} \)
\( \newcommand{\vectorD}[1]{\overrightarrow{#1}} \)
\( \newcommand{\vectorDt}[1]{\overrightarrow{\text{#1}}} \)
\( \newcommand{\vectE}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{\mathbf {#1}}}} \)
\( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)
\(\newcommand{\longvect}{\overrightarrow}\)
\( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)
\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)Emerging indicators, currently mainly used in a research setting, include hepcidin, non-transferrin-bound iron, and some reticulocyte indices. More work is required to understand the diagnostic value of these emerging indicators before they become more widely available for public health or clinical use.
17.11.1 Hepcidin
Hepcidin is a protein encoded by the HAMP gene. It plays a major role in controlling physiological iron homeostasis, as noted earlier. Hepcidin binds and subsequently causes degradation of the iron-exporter ferroportin, thereby inhibiting both absorption of dietary iron from the gastrointestinal tract and the release of iron from body stores (Section 17.1.2). In conditions of iron depletion or increased iron demand, hepatic synthesis of hepcidin is reduced, thus facilitating iron absorption and mobilization from body stores via active ferroportin. In contrast when iron stores are replete (or in renal impairment when excretion of hepcidin is suppressed), hepcidin levels are increased which block the release of iron into the circulation. Instead, iron is lost with the cell when it is shed from the villus. Hepcidin production by the liver is also regulated by inflammation and erythropoietic activity.
Hepcidin may be useful in the clinical diagnosis of iron-refractory anemia (i.e. the type of iron deficiency anemia that typically does not improve with oral iron treatment), in differentiating between iron deficiency anemia and anemia of chronic disease and in patients with iron overload syndromes. As hepcidin is a determinant of dietary iron absorption, hepcidin may also provide guidance on safe iron supplementation in countries with a high infection burden (van der Vorm et al., 2016; Pfeiffer and Looker, 2017). Studies have also investigated the diagnostic potential of serum hepcidin as an index of iron deficiency in pregnancy (Bah et al., 2017). Nevertheless, whether hepcidin assays provide an advantage over serum ferritin and the other more common methods for assessing nutritional iron status, particularly when iron status is replete, remains uncertain (Pfeiffer and Looker, 2017; Lynch et al., 2018).
Inflammation raises levels of pro-inflammatory cytokines in the systemic circulation, which in turn increase serum hepcidin levels, an acute-phase protein, just like serum ferritin. Elevated hepcidin levels reduce both iron intestinal absorption and the release of iron from body stores, thus decreasing the amount of circulating serum iron and thereby limiting erythropoiesis. Hence, the risk of iron deficiency increases, even though body iron stores are normal.
Obesity is associated with low grade inflammation and thus elevated hepcidin levels. Results presented in Table 17.39
| Normal Weight Women (BMI: 18.5‑24.9 kg/m2) |
Obese Women (BMI: >29.9 kg/m2) |
p Value | |
|---|---|---|---|
| Variable | Mean ± SD | Mean ± SD | |
| Inflammatory markers | |||
| WBC (×103µL) | 5.6 ± 1.6 | 7.7 ± 2.0 | < 0.001 |
| IL-6 (pg/mL) 1* | 1.46 [1.13, 1.89] | 2.16 [1.86, 2.51] | 0.003 |
| CRP (mg/L) 1* | 8.2 [3.1, 21.8] | 69.9 [41.1, 118.9] | < 0.001 |
| Iron biomarkers | |||
| Hb (g/dL) | 13.6 ± 1.1 | 13.3 ± 1.1 | 0.166 |
| MCV (fL) | 86.3 ± 4.5 | 82.4 ± 8.9 | 0.030 |
| Serum iron (µg/dL) 2 | 112.0 ± 41.4 | 92.4 ± 33.9 | 0.044 |
| TIBC (µg/dL) 2 | 394.4 ± 61.5 | 371.3 ± 50.4 | 0.086 |
| TSAT (%) 2 | 29.7 ± 13.3 | 25.2 ± 9.1 | 0.094 |
| Ferritin (ng/mL) 1* | 34.0 [21.0, 55.1] | 37.7 [26.9, 52.9] | 0.355 |
| Hepcidin (ng/mL) 1 | 6.21 [4.39, 8.77] | 11.21 [7.04, 17.83] | 0.024 |
compare inflammatory and iron status biomarkers in a cross-sectional study of normal weight and obese healthy U.S. women. The data highlight the higher mean serum concentrations of CRP, interleukin‑6, and hepcidin but lower levels of MCV and serum iron (but not ferritin) in the obese women compared to their normal weight counterparts (Aguree and Reddy, 2021).
Enhanced erythropoiesis suppresses hepcidin because of the increased iron demand. Consequently, iron absorption is increased and iron is mobilized from body stores. Numerous conditions are associated with an increase in erythroid proliferation; some examples are given in Table 17.28. Of concern are individuals with severe transfusion-dependent HbE β‑thalassemia and β‑thalassemia carriers (but not HbE carriers) because the increased uptake of iron resulting from severe and mildly suppressed hepcidin, respectively, may increase the risk of iron overload. As an example, Table 17.40 highlights the suppression
| Parameter | Severe (n=28; 17 female) |
Moderate (n=41; 25 female) |
P | Local controls (n=25) |
|---|---|---|---|---|
| Hb g/dL* |
5.8 (4.4‑7.6) | 6.4 (4.9‑8.3) | .1397 | 15.0 (14.5, 15.5)‡ |
| Ferritin mg/L** |
1356 (328, 9790) | 732 (143, 3260) | .0021† | 48.2 (38, 61.2)‡ |
| Liver iron mg/g dwt** |
11.3 (1, 54.2) | 5.30 (0.7, 29.0) | .0006† | |
| NTBI µM/L* |
5.16 (−1.67, 10.27) | 4.36 (−2.67, 23.75) | .4456 | |
| Hepcidin ng/mL** |
2.24 (0.1, 51.8) | 1.95 (0.1, 36.3) | .7441 | 28.23 (18.83, 42.3)‡ |
| sTfR nM/L** |
6.51 (1, 35.3) | 8.87 (1.4, 35.3) | .1472 | |
| CRP mg/L** |
1.66 (0.23, 34.23) | 1.58 (0.20, 13.01) | .8433 | |
| Labile plasma iron µM/L* |
3.60 (0.1, 7.7) | 4.29 (−1.07, 13.61) | .9320 | |
| Transferrin SAT, %* |
97.3 (48.3, 100.0) | 86.6 (31.9, 100.0) | .0319† |
of hepcidin in Sri Lankan patients with HbE β‑thalassemia classified as severe or moderate clinical phenotypes. Patients in both groups had lower concentrations of serum hepcidin and Hb and higher serum ferritin concentrations when compared to the values for 25 iron-replete, non‑thalassemic Sri Lankan male controls.
Even among Sri Lankan schoolchildren, hepcidin was mildly suppressed among those with increased erythropoiesis associated with β‑thalassemia trait (but not with HbE) compared to controls, suggesting an enhanced propensity to accumulate iron (Jones et al., 2015). Hence, in Asian countries where β‑thalassemia trait syndromes and thalassemia carriers are prevalent, risk of causing an inadvertent burden of iron overload should be considered when planning public health iron interventions to improve the iron status of high risk population groups (Jones et al., 2015), as noted earlier.
Malaria induces an increase in hepcidin concentrations, likely as a result of suppressed erythropoietic activity, inflammation and perhaps additionally by a direct stimulatory effect of malaria parasites and their products (de Mast et al., 2009). Hepcidin concentrations are elevated even when the malaria is asymptomatic (i.e., presence of parasitemia in the absence of fever or malaria-related symptoms) and in the absence of a marked acute phase response, as shown in Figure 17.18. Although an effect of mild inflammation cannot be excluded, nevertheless, other mechanisms might also contribute to elevated hepcidin concentrations such as the existence of an IL-6-independent pathway in malaria.

Figure 17.18. Serum concentrations of hepcidin in children with asymptomatic P. falciparum parasitemia (n=73), asymptomatic P. vivaxparasitemia (n=18) and controls (n=17). Data depicted are before and 4 weeks after the start of antimalarial treatment; the line represents the mean. P values were determined using the Student's t-test and paired t-test. Redrawn from de Mast et al. (2009).
The results shown in Figure 17.18 are based on a group of Indonesian children (5‑15y) (n=1197) screened by microscopy for the presence of parasitemia, Hb, serum hepcidin, indices of iron status (ferritin, sTfR, mean cell volume) and inflammation (CRP) at baseline and 4 weeks after antimalarial treatment.
It is of interest that the presence of even mildly elevated hepcidin concentrations appear to induce functional iron deficiency in these Indonesian children with asymptomatic parasitemia, as indicated by lower values of Hb, MCV, serum iron and transferrin saturation. These findings suggest that in the presence of asymptomatic malaria, iron therapy for the treatment of malaria anemia may be less effective because absorption of iron is compromised by the high hepcidin concentrations. Moreover, the iron therapy may be even hazardous, increasing malaria-associated morbidity and mortality (de Mast et al., 2010).
Pregnancy suppresses hepcidin by a mechanism that is unclear (Koenig et al., 2014). During the first trimester, serum hepcidin concentrations are within the reference range for nonpregnant women, but decrease in the second trimester to very low levels, where they remain in the third trimester, increasing again immediately after delivery and thereafter (van Santen et al., 2013; Bah et al., 2017; Fisher and Nemeth, 2017) (Figure 17.19).

Figure 17.19. Median (IQR) serum hepcidin concentrations in 31 women during pregnancy and postpartum. ***Compared with first-trimester values, P < 0.0001. Modified from Fisher and Nemeth (2017).
The fall in hepcidin appears to occur in advance of the onset of low iron stores in pregnancy, as shown from the data for Gambian women presented in Table 17.29. Here, hepcidin, indices of iron stores, erythropoiesis, and inflammation were all measured at 14, 20 and 30wks gestation(Bah et al., 2017). This suggests that maternal iron deficiency is not solely responsible for the sharp decline. Even mothers with replete iron stores have low hepcidin concentrations at delivery, suggesting that maternal hepcidin may be actively suppressed during pregnancy (Fisher and Nemeth, 2017).
However, in pregnancies complicated by infection or inflammation (including obesity), maternal hepcidin concentrations are elevated compared to healthy controls. Hence, in these conditions maternal and fetal iron bioavailability could be compromised in pregnancy, limiting the amount of iron presented for uptake by the placenta and for transfer to the fetus (Koenig et al., 2014).
Interpretive criteria for hepcidin concentrations are difficult to define because concentrations vary widely across assays, as for serum sTfR (Kroot et al., 2009). As a consequence, no usable international reference ranges and reference limits for hepcidin for specified life-stage groups exist at the present time.
Measurement of serum hepcidin with good reproducibility in both plasma and urine is possible using mass spectrometry or immunoassays, although inter-assay variability is large, with no certified reference material currently widely available (Pfeiffer and Looker, 2017). Recently an international calibrator for hepcidin with long-term stability has been developed (available at HepcidinAnalysis.com) which will greatly improve the equivalence between hepcidin measurement procedures in the future; see Van der Vorm et al. (2016); Diepevenn et al. (2019); and Aune et al., (2020) for further details.
Measurement of hepcidin in urine may provide a less-invasive screening for iron status and warrants more investigation. Concentrations are elevated in anemic children with febrile malaria.
17.11.2 Novel red blood cell indices
Novel red blood cell indices are generated by specific models of hematology automated cell counters and include among others, reticulocyte mean Hb content (RHcc) and mean reticulocyte volume (MRV). However, their interpretation is complicated by the different techniques used by the manufacturer and the lack of systematic studies to determine their usefulness to evaluate nutritional anemias.
Reticulocyte Hb content (RHcc) reflects directly the synthesis of Hb in bone marrow precursors and is a measure of the adequacy of the availability of iron. It can be used to differentiate iron deficiency from other causes of anemia. Reticulocyte Hb content is sometimes used in clinical settings to establish iron status in young children with anemia, when other common iron biomarker assays may not be available; low values provide an early marker of iron deficient erythropoiesis. The measurement of RHcc is not useful in individuals with α and β‑thalassemias (including individuals who are heterozygous) when the reticulocyte Hb count is reduced independently of iron stores.
Reticulocyte Hb content can also be used to measure the early response to intravenous iron therapy because it increases significantly after only 48‑72h (Buttarello, 2016). The sensitivity and specificity of RHcc for diagnosing iron deficiency is only moderate, with no recommended cutoffs to define iron deficiency. However, RHcc is less affected by inflammation than serum iron, transferrin saturation, and ferritin, although it is influenced by any conditions that cause iron restricted erythropoiesis (Gelaw et al., 2019).
Reticulocyte volume is also an index that can be measured by some newer hematology analyzers. Values for reticulocyte volume decrease rapidly with the development of iron-deficient erythropoiesis and increase rapidly in individuals with depleted iron stores or nutritional macrocytosis after therapy with iron, or vitamin B12 and/or folic acid, respectively. However, numeric results depend on the analyzer manufacturer, making comparisons difficult (Buttarello, 2016).
17.11.3 Non-transferrin bound iron
Iron in plasma is tightly bound to transferrin, the iron transport protein that delivers iron throughout the body, as noted earlier (Section 17.6). Cells take up transferrin-bound iron in proportion to the number of cell-surface transferrin receptors (TfR1). When cellular iron levels are sufficient, the uptake of transferrin decreases to limit further iron assimilation and prevent excessive iron accumulation; usually only 20‑30% of transferrin is saturated with iron. However, in iron overload conditions, such as hereditary hemochromatosis and thalassemia major, transferrin is fully saturated and non-transferrin-bound iron (NTBI) appears in serum. Note the high concentrations of NTBI in the patients with HbE β‑thalassemia in Table 17.40 , which were inversely associated with hepcidin. This trend may reflect the increased release of iron into the plasma that occurs when suppressed hepcidin levels permit enhanced iron absorption and mobilization. The NTBI also correlated with ferritin and liver iron concentrations, suggesting that a high level of NTBI is associated with hepatic iron accumulation (Jones et al., 2015).
There is no known regulatory mechanism for NTBI uptake so NTBI can enter cells readily, where it produces free radicles resulting in cellular and organ damage. Circulating NTBI may also cause an increase in bacterial-pathogenic infections owing to the free ion being utilized by the parasite. Concern has been raised over the rapid absorption of iron supplements given in non-physiological amounts, and their potential for exceeding the capacity for transferrin to bind the circulating iron, resulting in the formation of NTBI concentrations (Prentice et al., 2016).
The measurement of serum NTBI is fraught with problems, often with a 40-fold variation difference in methods, in part due to the heterogeneous nature of the chemical forms of NTBI, as well as large analytical variation. A new automated NTBI assay has been developed which looks promising in terms of reproducibility and comparability with HPLC, one of the most reliable methods to quantify NTBI. Nevertheless, more research is required to define the most relevant forms of NTBI, and understand their clinical importance (Pfeiffer and Looker, 2017).


