Amino acid requirements in children based on the factorial approach

The factorial approach, based on the maintenance and growth components of the protein requirement, was used to estimate the current WHO/FAO/UNU⁽⁷⁾ amino acid requirement values. These were based on the rates of growth based on protein deposition for children of different age groups, the amino acid composition of whole-body protein, as well as the efficiency of dietary protein utilization. Therefore, the requirements were the sum of amino acids needed for maintenance (i.e. the maintenance protein requirement (g/kg/d)) multiplied by the adult amino acid scoring pattern (mg/g protein), plus growth (tissue protein deposition rates in g/kg/d) multiplied by the assumed human tissue amino acid pattern (mg/g protein), adjusted for an efficiency of deposition of 0·58. The factorial approach depends heavily therefore, on the accurate estimation of the maintenance protein requirement, as well as of protein deposition during growth. In addition, a value for the efficiency of utilizing dietary protein for deposition also had to be selected, based on the N balance studies that were available.

In the case of the infant up to the age of 6 months, the amino acid content of breast milk is recognized as the best estimate of amino acid requirements. The average essential amino acid composition of mixed human milk proteins is given in Table 1, averaged from 3 sources by WHO/FAO/UNU⁽⁷⁾. It must be recognized that this pattern of amino acids may provide an intake that is in excess of the infant's needs.

Table 1

Amino acid composition of mixed human milk proteins (WHO/FAO/UNU, 2007)

In the case of older children, no satisfactory experimental data were available at the time to determine the amino acid requirement, and therefore, the factorial approach, stated above, was used. A brief description of the procedure used to decide on the maintenance and growth deposition requirement of protein is necessary as these are critical to the factorial method. First, for the derivation of the maintenance requirement, the current WHO/FAO/UNU Report⁽⁷⁾ used the results from ten studies that examined the relationship between protein intake and N balance both above and below maintenance. Fitting these data to a linear model yielded a line with a slope (or an efficiency of utilization) of 0·58, and an intercept (the obligatory N loss when N intake was zero) of 58 mg/kg/d. For studies that used milk or egg based protein, the slope was higher, at 0·66. From the regression of N balance on N intake, a value for the maintenance requirement of N could be obtained by calculating the N intake required for a zero N balance. The mean value for the maintenance requirement was 108-110 mg N/kg/day over all studies, but lower at 93 mg N/kg/day in the animal protein (milk/egg) intake studies. This lower maintenance requirement could have been because of the better digestibility of the animal proteins, as well as a better efficiency of utilization (0·66 vs. 0·58 in the mixed protein intake diets). Therefore, in the WHO/FAO/UNU Report ⁽Reference Ellis, Shypailo and Abrams⁷ the value chosen for infants up to 6 months of age was based on the maintenance value for the milk/egg protein diets, which was 93 mg N/kg/day. This works out to a protein intake of 0·58 g protein/kg/day. For children with ages greater than 6 months, the maintenance value chosen was 110 mg N/kg/day, which was the mean maintenance value from all the N balance studies quoted above. This works out to 0·68 g protein /kg/day, and ultimately, since this was so close to the adult maintenance value, the maintenance value for children above 6 months of age was set at 0·66 g protein/kg/day, or similar to that in adults. In addition, there was no a priori reason to think that the maintenance value in children would differ from that of adults, although the efficiency of utilization may change as growth occurs. Therefore, the critical change for the maintenance requirement in this growth model occurs at 6 months of age, which also matches the time at which the feeding of the infant changes to mixed diets with weaning.

Second, for measuring protein deposited during growth, the average daily rates of protein deposited were derived from the measurement of whole body potassium⁽Reference Ellis, Shypailo and Abrams^8, Reference Butte, Hopkinson and Wong⁹⁾. In a longitudinal study, Butte et al ⁽Reference Butte, Hopkinson and Wong⁹⁾ followed 76 individual infants from birth to 2 years with measurements every three months. The total protein data of each of the individuals were fitted to individual quadratic equations to estimate the protein deposited/kg body weight/day. The protein deposition of children (4-18 y) were reported in a study by Ellis et al. ⁽Reference Ellis, Shypailo and Abrams⁸⁾ in a cross sectional study. A single model was fitted to the entire data set for each gender and the protein deposition data (yearly cohort averages) were fitted to a single cubic curve for each gender, and the curves were differentiated to give protein deposition rate estimates. The body weight data were also fitted to curves for each gender, and the ratio of these two functions (adjusted to give daily values) gave estimates of protein deposition per kg body weight/day. Since there were now 2 different datasets for protein deposition at different ages, a quadratic equation was used to interpolate data between the two data sets for the missing ages between 2 and 4 years⁽⁷⁾.

If the maintenance and growth requirements for protein were known, as detailed above, then for each dietary IAA, the content in the amino acid composition of the requirement pattern for maintenance in adults was multiplied into the maintenance requirement for protein. For protein deposition during growth, the dietary IAA content based on the amino acid composition of mixed tissue protein⁽Reference Davis, Nguyen and Garcia-Bravo¹⁰⁾ was used to multiply the protein deposited with growth (adjusted for efficiency of utilization of dietary protein), for each amino acid. The sum of the maintenance and growth deposition amino acid requirements was taken as the estimated average requirement for each amino acid. This factorial approach is shown in Table 2. The amino acid scoring pattern for this requirement is given in Table 3. This is in contrast to the 1985 FAO/WHO/UNU consultation⁽⁶⁾, where the scoring pattern for pre-school children was used for all ages. In general, the new FAO/WHO/UNU⁽⁷⁾ estimates of requirements are lower than the earlier values that were used for the pre-school child.

Table 2

Amino acid requirements of children determined using the factorial approach (WHO/FAO/UNU, 2007)

His: Histidine; Ile – Isoleucine; Leu – Leucine; Lys – Lysine; SAA - Sulphur Amino Acids; AAA - Aromatic Amino Acids; Thr – Threonine; Trp – Tryptophan and Val – Valine.

Table 3

Amino acid scoring pattern for children (mg/g protein)a (WHO/FAO/UNU, 2007)

His: Histidine; Ile – Isoleucine; Leu – Leucine; Lys – Lysine; SAA - Sulphur Amino Acids; AAA - Aromatic Amino Acids; Thr – Threonine; Trp – Tryptophan and Val – Valine.

^a - amino acid requirement/protein requirement for the selected age group

Amino acid requirements based on isotopic techniques

In the last 20 years, technological advances in mass-spectrometry have made it possible to explore aspects of basic and applied nutrition in vivo that were otherwise impossible to assess. These isotopic methods have facilitated a dynamic approach to determining amino acid requirements in humans through the infusion of amino acid tracers, ingestion of single amino acid-labeled protein or uniformly labeled proteins⁽Reference Bos, Gaudichon and Tome¹¹⁾. In general, the determination of amino acid requirements involves the feeding of graded amounts of the test amino acid and measuring the relevant biological outcomes. If the kinetics of a specific amino acid (such as leucine) can be measured with reasonable certainty, then the oxidation of leucine, measured over a day, would represent its irreversible loss that would need to be replaced by dietary intake, and hence, its daily requirement⁽Reference Kurpad, Raj and El-Khoury^12, Reference Kurpad, Regan and Raj¹³⁾. A leucine balance could be constructed, such that it could be plotted as an outcome against different leucine intakes to find the intake at which the balance was neutral (Fig 1). These developments in tracer methods really meant that one could measure the requirements of leucine with some certainty. However, could the requirement of the other IAA be independently and experimentally confirmed? The key problem was in the measurement of the precursor pool of the tracer amino acid, since this was critical to the measurement of the amino acid oxidation.

Fig. 1

Inflection or breakpoint on all lines indicates the measured requirement level. Solid line: DAAO – Increasing oxidation of ‘test’ amino acid at supra-maintenance test amino acid intake levels. Large dashed line: IAAO - Decreasing oxidation of ‘indicator’ amino acid at supra-maintenance test amino acid intake levels. Small dashed line: DAAB or IAAB - Increasing balance towards zero balance of either ‘test’ or ‘indicator’ amino acid balance with increasing test amino acid intake levels. Note that at supra-maintenance intake levels, balance stays at zero.

A more recent technique (that had its roots in earlier animal experiments) that really broke the impass in experimentally measuring the requirements for all the other IAA was the indicator amino acid oxidation technique (IAAO). The IAAO method is a functional method based on the concept that the amount of the limiting amino acid governs the partition of the other IAA between retention for protein synthesis or oxidation⁽Reference Elango, Ball and Pencharz¹⁴⁾. In this method, the test amino acid and the tracer amino acid are different, such that the behaviour of the tracer oxidation and balance under different test amino acid intakes determines (or indicates) the test amino acid requirement. In this approach, the oxidation and balance data of the indicator amino acid (whose intake is held constant) at different test amino acid intakes can be analyzed to yield a breakpoint of a plateau in indicator amino acid oxidation (IAAO), or a zero balance (IAAB), which indicates the requirement of the test amino acid (Fig 1). This is because at suboptimal (limiting) intakes of the test amino acid, protein synthesis is ‘frustrated’ leading to increased oxidation of the other dietary IAA's. At intakes of the test amino acid that are optimal or above the requirement, the indicator amino acid oxidation would plateau off at its lowest level, and its balance would come to zero (Fig 1). In general, the technical problems of precursor pool identification that are related to the DAAO/DAAB method are not present, since the indicator chosen is one in which the precursor pool is known and/or validated. This method is either applied as a short term IAAO method⁽Reference Zello, Wykes and Ball¹⁵⁾ or a longer-term 24 h IAAO and IAAB method⁽Reference Kurpad, Raj and El-Khoury¹²⁾. The requirement is taken as the intake of amino acid that provides for an inflection (or breakpoint) in the pattern of the indicator amino acid oxidation or balance response to different test amino acid intakes.

The short term IAAO method has been used with lysine or phenylalanine as the indicator amino acid⁽Reference Zello, Pencharz and Ball^16, Reference Roberts, Thorpe and Ball¹⁷⁾, where the appearance of the ¹³C label (from the labeled amino acid) in the breath is measured in the fed state over a few hours. Importantly, these studies are conducted with a short (48 h) dietary adaptation period. Therefore, the relative ease, the short dietary adaptation and the relatively non-invasive nature of experimentation, is a strength that allows for many experiments at different levels of test amino acid intake, to be carried out on the same subject which in turn allows for the measurement of the variance of the requirement estimate for each amino acid. The non-invasiveness of the technique has been further advanced, in that the tracer can be administered orally and urine can be used to determine the equivalent enrichment of the tracer amino acid in its precursor pool⁽Reference Bross, Ball and Pencharz^18–Reference Zello, Marai and Tung²¹⁾. On the other hand, the lack of a sufficient dietary adaptation period, the lack of a fasted state measurement, and the short-term nature of the fed state evaluation may or may not influence the result for the determined amino acid requirement, and there is insufficient evidence available at present to make a judgement about this. In one study that measured the requirement of valine in adults, using both a 24 h IAAB method as well as the short term fed state IAAO method, after 7 days of adaptation to the test diet, both methods gave similar estimates of the requirement⁽Reference Kurpad, Regan and Raj²²⁾.

Over the last decade, dietary IAA requirements have been determined by using the IAAO method in healthy school age children in Canada and India⁽Reference Elango, Humayun and Ball^23–Reference Turner, Humayun and Elango²⁶⁾, as well as children recovering from severe undernutrition⁽Reference Badaloo, Jean and Hsu²⁷⁾ and in moderately undernourished children with intestinal infestations (Pillai et al, unpublished). The determined amino acid requirements for branched chain amino acids, sulphur containing amino acids and lysine are shown in Table 4 with the comparisons to current WHO/FAO/UNU⁽⁷⁾ values. In general, the results of the isotopic experimental method are similar to those derived by the factorial method, except for the BCAA. In addition, the estimates appear to be similar across geographical regions, indicating that adaptation to lower or different food based protein intakes may not lower specific IAA requirements. For example, the mean daily requirement of lysine was determined to be 33·5 mg/kg/d in an Indian study on local normally nourished children, which was similar to that of Canadian children (35 mg/kg/d), determined by the same method⁽Reference Elango, Humayun and Ball²³⁾. However, the Canadian children were about 3 % and 18 % taller and heavier respectively, with a 1·5 % greater body fat percentage than Indian children. Therefore, the similar lysine requirements resulting from these studies in two geographically and socio-economically distinct regions support the current factorially based WHO/FAO/UNU⁽⁷⁾ lysine recommendation of 35 mg/kg/d for children aged 3-10y. This is not altogether surprising, since similar results have been found for several dietary IAA such as lysine, leucine, methionine, and threonine in adults, where their daily estimated requirements in Indian adults are similar to those in Western populations⁽Reference Kurpad, Regan and Raj^13, Reference Kurpad, Raj and El-Khoury^28–Reference Kurpad, Raj and Regan³⁰⁾.

Table 4

Estimation of IAA requirements by the factorial approach and IAAO method for school age children

* With no cysteine, total SAA

The key question is whether or not to include a growth requirement into these estimates, that is, to layer a factorial estimate for growth over these experimentally based requirement figures. In the Indian study, the children grew by about 0·5 cm over the study period (7 weeks); this is some 30 % less than what would be predicted by the 50^th percentile of the NCHS growth standard for the mean age of the study participants⁽Reference Hamill, Drizid and Johnson³¹⁾. In our opinion, the lysine requirement of this sub-optimal growth will be captured within the IAAO model. However, it is likely that a greater or optimal rate of growth would require a greater amount of dietary IAA. Clearly then, the best estimate of the optimal daily lysine requirement would be that measured in optimally growing children. It is possible to speculate on this requirement. If the study children were growing at 70 % of the optimal rate, then, based on the factorial method for estimating growth requirements in this age of child⁽⁷⁾, it is likely that they would require about 2 mg/kg/d in addition to the measured requirement. Further, it is relevant to consider the effects that catch up growth, or infections and parasites can have on the requirement. From the environment viewpoint, we earlier reported that the daily lysine requirement was increased by about 50 % in chronically undernourished men who lived in poor environments⁽Reference Kurpad, Regan and Raj³²⁾. Part of this increased requirement was due to the effects of intestinal parasites⁽Reference Kurpad, Regan and Nazareth³³⁾. It is also possible that sub-clinical infections could increase the daily dietary IAA requirement through increased amino acid oxidation⁽Reference Reeds, Fjeld and Jahoor³⁴⁾. Therefore, further direct studies on the lysine requirements of undernourished or sub-clinically infected children, or on those children exhibiting catch up growth, are necessary. In principle, while the amino acid requirement for catch up growth may increase the overall requirements, it is also possible that the efficiency of tissue deposition during catch up growth may increase. Therefore the prediction of these, based on a factorial method, may be confounded, and experimental evidence is necessary for informed decision making.

The short term IAAO method has also been used in innovative ways to determine other metabolic indices. Most recently, the requirement for tyrosine during the rapid catch-up in body weight related to the recovery from severe childhood undernutrition was found to be 99 mg/kg/d when the children were growing at about 15 g/kg/d⁽Reference Mager, Wykes and Ball²⁵⁾. Further, the IAAO method has been adapted to determine protein requirements in adults, although this procedure still needs validation⁽Reference Humayun, Elango and Ball³⁵⁾. This method has also been recently applied to determine the metabolic availability of sulphur amino acids (SAA) from casein versus a soya protein isolate using ¹³C phenylalanine as an indictor⁽Reference Humayun, Elango and Moehn³⁶⁾.

Dietary IAA requirements of elderly people

The data based on the currently acceptable methodologies described above are inadequate to make a separate recommendation for dietary IAA requirements in elderly people. Where available, the results of the N balance and tracer-based approaches are fragmentary and conflicting. However, the only available data on amino acid requirements in the elderly concern sulphur amino acids, and showed the same total requirement as that set for young subjects but with a reduced sparing effect of cysteine on methionine⁽Reference Fukagawa, Yu and Young³⁷⁾. Therefore, it is recommended that the dietary IAA requirement pattern for elderly people be taken as the same as that for adults (Table 5). Furthermore, there is as yet no convincing evidence that the elderly require more dietary protein, and while some reviews have suggested that there may be a slightly higher requirement for protein⁽Reference Kurpad and Vaz³⁸⁾, recent studies do not support this⁽Reference Campbell, Johnson and McCabe³⁹⁾.

Table 5

Dietary IAA requirement estimates in adults (WHO/FAO/UNU, 2007)

Summary

While there are assumptions and complexities in the factorial method, this is presently the only method that has been used to determine children's IAA requirements, while at the same time considering their normal growth as well. The minimally invasive IAAO method has made it possible to begin a series of experimental determinations of the dietary IAA requirements of children, and these appear to bear out predictions made by the factorial method. Key questions remain about how to account for the requirements for optimal or catch up growth, particularly in developing country populations. There are not enough data or convincing evidence to consider a different dietary IAA requirement pattern for the elderly versus the adult.