Natural iron isotopic composition of blood is an indicator of dietary iron absorption efficiency in humans.

Persistent impairments in the regulation of intestinal iron absorption result in iron deficiency or iron accumulation in the long term. Diagnosis remains difficult unless pathological symptoms develop as iron absorption varies strongly between meals and days. Variations in the natural iron isotopic composition of whole blood have recently been suggested as a novel parameter to assess long-term differences in intestinal absorption efficiency between individuals. In this study, baseline blood samples collected in two previous conventional iron absorption studies in Swiss and Thai women using stable isotope tracers were reanalyzed by multicollector inductively coupled plasma mass spectrometry. The natural iron isotopic compositions obtained were compared with fractional absorption from the test meals observed in these earlier trials. Correlations of natural blood iron isotopic composition and fractional absorption from the test meals were found to be highly significant in both cohorts (for Swiss women, r = 0.40, P = 0.01, n = 38; for Thai women, r = 0.57, P < 0.01, n = 24), with the blood of both ethnicities clearly differing in iron isotopic composition (P < 0.001). Combining the findings of this study and those of recent animal and human studies confirms that blood iron isotopic patterns may serve as a novel compound biomarker of iron metabolism to assess impairments in regulation of intestinal iron absorption in individuals or population groups.

Mobilization of storage iron is reflected in the iron isotopic composition of blood in humans.

We recently showed in an animal model that iron isotopic composition varies substantially between different organs. For instance, iron in ferritin-rich organs--such as the major storage tissues liver, spleen, and bone marrow--contain a larger fraction of the heavy iron isotopes compared with other tissues, including blood. As a consequence, partitioning of body iron into red blood cells and storage compartments should be reflected in the isotopic pattern of blood iron. To confirm this hypothesis, we monitored blood iron isotope patterns in iron-overloaded subjects undergoing phlebotomy treatment by multicollector inductively coupled plasma mass spectrometry. We found that bloodletting and consequential replacement of lost blood iron by storage iron led to a substantial increase of the heavy isotope fraction in the blood. The progress of iron depletion therapy and blood loss was quantitatively traceable by isotopic shifts of as much as +1‰ in δ((56)Fe). These results show that--together with iron absorption efficiency--partitioning of iron between blood and iron storage tissues is an important determinant of blood iron isotopic patterns, which could make blood iron isotopic composition the first composite measure of iron metabolism in humans.

Ten repeat collections for urinary iodine from spot samples or 24-hour samples are needed to reliably estimate individual iodine status in women.

Although the median urinary iodine concentration (UIC) is a good indicator of iodine status in populations, there is no established biomarker for individual iodine status. If the UIC were to be used to assess individuals, it is unclear how many repeat urine collections would be needed and if the collections should be spot samples or 24-h samples. In a prospective, longitudinal, 15-mo study, healthy Swiss women (n = 22) aged 52-77 y collected repeated 24-h urine samples (total n = 341) and corresponding fasting, second-void, morning spot urine samples (n = 177). From the UIC in spot samples, 24-h urinary iodine excretion (UIE) was extrapolated based on the age- and sex-adjusted iodine:creatinine ratio. Measured UIE in 24-h samples, estimated 24-h UIE, and UIC in spot samples were (geometric mean ± SD) 103 ± 28 µg/24 h, 86 ± 33 µg/24 h, and 68 ± 28 µg/L, respectively, with no seasonal differences. Intra-individual variation (mean CV) was comparable for measured UIE (32%) and estimated UIE (33%). The CV tended to be higher for the spot UIC (38%) than for the estimated 24-h UIE (33%) (P = 0.12). In this population, 10 spot urine samples or 24-h urine samples were needed to assess individual iodine status with 20% precision. Spot samples would likely be preferable because of their ease of collection. However, the large number of repeated urine samples needed to estimate individual iodine status is a major limitation and emphasizes the need for further investigation of more practical biomarkers of individual iodine status.