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2nd Amino Acid Workshop Application of the Concepts of Risk Assessment to the Study of Amino Acid Supplements1 Yuzo Hayashi2 NPO Communication Center for Food and Health Sciences, Tokyo 135-0004, Japan KEY WORDS: amino acids dietary reference intake (DRI) tolerable upper intake level (UL) metabolomics The execution of any given risk assessment may be hampered by various uncertainties resulting from deficiencies or critical gaps in the necessary information. When this occurs, plausible assumptions are made based on prevailing scientific thought, taking these uncertainties into account, so that the assessment can be completed (3). Therefore, risk assessment is regarded as a complex mixture of currently available data and assumptions based on prevailing scientific thought. Traditional concepts of risk assessment Risk assessment is the use of available scientific information to characterize potentially adverse effects associated with exposure of humans to an agent under known or expected conditions (1). Methodologically, it consists of four steps, namely, hazard identification, hazard characterization, exposure assessment and risk characterization (2). Hazard identification is primarily the process of identifying the effects that are considered to be adverse, irrespective of the dose needed or the specific mechanisms involved to elicit the effect. Hazard characterization is the step to provide a quantitative and qualitative estimate of the adverse effects so that the dose-response relationship and the mode of action for these effects can be established. Exposure assessment involves the evaluation of the modes, magnitudes, duration and time of actual or anticipated exposure, and the number and nature of persons who are likely to be exposed. Risk characterization, the final step of risk assessment, is the estimation of the likelihood of adverse effects in the human population as a consequence of the exposure by taking into consideration the results of the hazard identification, hazard characterization and exposure assessment. Application of risk assessment for nutrients Traditional concepts and methodologies for risk assessment have been developed and long used for food additives, contaminants and pesticide residues. How to apply these concepts and methodologies for nutrients is the current challenge. Practically, risk assessment is intended to provide the scientifically sound basis for regulatory or nonregulatory action to manage the risks from the agent to humans (risk management) (4). Regulatory management for safe and effective use of nutrients includes the establishment of standards for intake levels. The Food and Nutrition Board (FNB)3 of the Institute of Medicine (IOM) has proposed the Dietary Reference Intakes (DRIs) which are comprised of the Estimated Average Requirement (EAR), the Recommended Dietary Allowance (RDA), the Adequate Intake (AI) and the Tolerable Upper Intake Level (UL). The UL, a terminology corresponding to the Acceptable Daily Intake (ADI) for food additives, is defined by 1 Presented at the conference ‘‘The Second Workshop on the Assessment of Adequate Intake of Dietary Amino Acids’’ held October 31–November 1, 2002, in Honolulu, Hawaii. The conference was sponsored by the International Council on Amino Acid Science. The Workshop Organizing Committee included Vernon R. Young, Yuzo Hayashi, Luc Cynober and Motoni Kadowaki. Conference proceedings were published in a supplement to The Journal of Nutrition. Guest editors for the supplement publication were Dennis M. Bier, Luc Cynober, Yuzo Hayashi and Motoni Kadowaki. 2 To whom correspondence should be addressed. E-mail: esato@icaas-org. com. 3 Abbreviations used: FASEB, Federation of the American Societies for Experimental Biology; FNB, The Food and Nutrition Board; IOM, The Institute of Medicine; NOAEL, no-observed-adverse-effect-level; UF, uncertainty factor; UL, tolerable upper intake level. 0022-3166/03 $3.00 Ó 2003 American Society for Nutritional Sciences. 2021S Downloaded from jn.nutrition.org by on August 26, 2010 ABSTRACT Risk assessment is defined as the use of available scientific information to characterize potentially adverse effects associated with exposure of humans to an agent under known or expected conditions. Practically, risk assessment is intended to provide the scientifically sound basis for regulatory or nonregulatory action to manage the risks in humans from the agent. Therefore, the final goal of risk assessment for supplementary use of amino acids is to provide scientific evidence and scientific logic for the establishment of tolerable upper intake levels (UL) for amino acids. At present, however, execution of risk assessment for amino acids is hampered by deficiencies in necessary scientific information, particularly, experimental or clinical/epidemiological data related to the estimation of no-observed-adverse-effect-levels (NOAEL), and scientific principles for the allocation of uncertainty factors (UF) in extrapolation from experimental/clinical data to the general human population. This paper attempts to identify the scientific data and scientific thoughts/methodologies required for deriving UL or assessing the margin of safety for the supplementary use of amino acids. J. Nutr. 133: 2021S–2024S, 2003. SUPPLEMENT 2022S the IOM as ‘‘the highest level of a daily nutrient intake that is likely to pose no risk of adverse effects to almost all individual in the general population ’’ (5). The IOM has applied a risk assessment model for establishing UL for micronutrients. Briefly, as in the case of an ADI for a food additive, a UL for a micronutrient is established on the basis of the most critical No-Observed-Adverse-EffectLevel (NOAEL) in toxicological studies by applying an uncertainty factor (UF): NOAEL : UF Theoretically, this kind of traditional model could be applicable to the establishment of ULs for amino acids. At present, however, the establishment of ULs of amino acids has not occurred, primarily due to insufficient scientific information, particularly, experimental or clinical/epidemiological data related to the estimation of NOAELs and to insufficient scientific principles for the allocation of UF for extrapolation from experimental/clinical data to the general human population. UL 5 Consumed proteins are incorporated and utilized in the body as amino acids. Thus, information from investigations of high protein intakes may be useful for the basic understanding of hazards or potentially adverse effects in humans due to excess intakes of amino acids. Historical records of extremely high protein intakes in humans show that daily intakes of protein above 45% on an energy basis in adults are associated with weakness, nausea, diarrhea and ultimately death, whereas daily intakes of 20–35% protein are without ill effects (6). Various biochemical and physiological responses can be associated with high protein intakes. A high intake of protein provides excess amounts of amino acids in the body and influences metabolic capacities to oxidize amino acids and synthesize urea. Urinary excretion of urea nitrogen is indicative of total protein intake (7,8). A high protein diet has been shown in human and animal studies to increase calcium excretion. Presumably due to the increase in glomerular filtration rate and the decrease in renal reabsorption of calcium (9). According to a cross-sectional study in a healthy Japanese population, the correlation of urinary calcium excretion with animal protein intake is significantly positive in both sexes whereas that with plant protein is not. Calcium excretion is also correlated with daily urinary excretion of urea. A significant correlation is also observed between daily calcium excretion and daily urinary excretion of sulfate. The correlation in 50–79 y old subjects remains significant even after adjustment for sex, age, body weight, sodium excretion and calcium intake. From these findings the authors suggest that excess protein, especially that rich in sulfur-containing amino acids, in habitual diets may augment calcium excretion in the urine, particularly in the elderly (10). Some data suggest that high protein diets lead to increased urinary calcium loss (8), which could be hazardous particularly for females due to its involvement with bone health (11). It is known that bone growth is stunted in protein-energy malnutrition (12), and the outcome of hip fracture is improved with protein supplements to the typical elderly victim of osteoporotic fracture (12). If an increase in urinary calcium loss is assumed to be the principal mechanism by which harm might be produced by a high protein intake, excess protein will not harm the skeleton if the calcium intake is adequate (13). A dietary calcium to protein ratio .20 mg (calcium): 1 g (protein) probably provides adequate protection for the skeleton (13). Like other natural food components, amino acids are assumed to be nontoxic at the level occurring in the diet. The area of concern is the intake of large amounts of amino acids as supplements. Supplementation of several amino acids may be beneficial in healthy individuals (11), but as seen in the outbreak of the L-tryptophane-associated eosinophilia-myalgia syndrome (EMS), potential risk is also present. Generally intake of large quantities of individual amino acids is not recommended because much more information is needed (11). The first step of risk assessment or hazard identification is usually performed on the basis of animal toxicity tests and/or clinical/epidemiological studies in humans. In animal toxicity tests, administration of large amounts of individual amino acids has caused various kinds of adverse effects such as growth retardation by glycine (14), hyperkalemia and hypermagnesemia by arginine (15), hypercholesterolemia and hepatomegaly by histidine (16), pancreatic damage and kidney enlargement by methionine (17), corneal lesions by tyrosine (18), neurotoxicity by cysteine (19) or glutamic acid (20). In human clinical studies, except for cases of hypersensitivity or intolerance, administration of amino acids has been associated with no adverse effect or mild changes of the values of laboratory tests. The differences in responses to amino acids between animals and humans as described in the literature are assumed to be attributable mostly to the difference in dosage levels used and eventually to differences in blood concentrations or target tissue concentrations between animals and humans. Hazard characterization Hazard characterization is the step of defining the doseresponse relationship and the mechanism/site of action on the basis of data from toxicity tests, toxicodynamic studies and toxicokinetic studies. NOAELs of food additives or contaminants are established based on dose-response data in longterm toxicity tests. In the case of amino acids, however, such data are extremely limited. Potential adverse effects associated with excessive intakes of amino acids are mechanistically classified into three categories (21): 1) Specific/inherent amino acid toxicity: Exertion of toxicity specific to individual amino acids such as corneal lesions in young growing rats ingesting large amounts of tyrosine. 2) Amino acid antagonism: Exertion of adverse effects due to competition among a structurally related group of amino acids such as the branched chain amino acid antagonism or the lysine-arginine antagonism. 3) Amino acid imbalance: Various definitions have been proposed; (1) growth retardation of animals consuming diets containing an excessive amount of one amino acid (22); (2) adverse effects caused by any modification of the dietary amino acid pattern (23); and (3) effects of surpluses of indispensable amino acids other than one that is limiting for growth or maintenance (21). Specific amino acid toxicities are the critical factor for the establishment of NOAELs and UFs. As shown in Table 1, the correlative analysis of intake levels, blood concentrations and the incidence or severity of an adverse effect is useful for extrapolation of animal data to the situation in humans. In contrast, the establishment of ways to maintain an appropriate amino acid composition of total dietary and supplementary amino acid intake is a practical protection against adverse effects due to amino acid antagonism and amino acid imbalance. Downloaded from jn.nutrition.org by on August 26, 2010 Lessons from high protein intakes Hazard identification RISK ASSESSMENT OF AMINO ACIDS 2023S TABLE 1 Relationship between dose of monosodium glutamate (MSG) for inducing hypothalamic lesions and plasma glutamate levels in infant, weanling and adult mice (from reference 24) Treatment of MSG Age Route Dose (g/leg) No. of mice affected Peak level of plasma glutamate (mmol/100ml) Infant (10 d) Nontreatment p o2 po po — 0.5 0.73 0.8 0/8 0/8 2/8 4/8 17 6 11 62 6 6 104 6 183 — Weanling (23 d) Nontreatment s c4 sc sc — 0.5 0.73 1.0 0/8 0/8 2/8 6/8 10 278 385 760 6 6 6 6 1 15 323 52 Adult (3–4 mo) Nontreatment s c4 sc sc — 1.0 1.23 1.5 0/8 0/8 4/8 4/8 10 539 631 841 6 6 6 6 1 25 303 105 Mean 6 SE. Oral administration by a 10% aqueous solution. Lowest effect dose (LED) of MSG for hypothalamic lesions and peak value of plasma glutamate at LED. Subcutaneous injection in a 4% aqueous solution. Exposure assessment Exposure data are generated from monitoring, modeling results or reasoned estimates (25). At present, however, available exposure data for amino acids are limited. Based on 3 reference documents, namely, Standard Tables of Food Composition in Japan (Resources Council, Science and Technology Agency in Japan, 1986), The Amino Acid Composition of Foods in Japan (Resources Council, Science and Technology Agency in Japan, 1986), and Food Group–Based Nutrient Intakes, National Nutrition Survey (Ministry of Health and Welfare, Japan, 1995), daily intakes of individual amino acids in Japanese have been calculated as follows (in mg/d); Ile 3338, Leu 6452, Val 4415, Met 1919, Cys 1328, Lys 5273, Phe 3770, Tyr 2794, Trp 965, Thr 3187, His 2479, Arg 5037, Ala 4277, Asx 7490, Glx 14716, Gly 3799, Pro 4845, Ser 3706 (T. Kimura, Personal Communication, October, 2002). A number of studies have estimated the requirements of individual amino acids based on metabolic demands in various age groups (26). Correlative analyses of exposure data from food intakes monitoring with the requirement estimates based on metabolic demands will provide a scientific basis for a foodbased guideline for adequate intakes of amino acids. Risk characterization and future research Practically, the goal of risk characterization for amino acids is to establish ULs or NOAELs and UFs by taking into consideration the results of the hazard identification, hazard characterization and exposure assessment. In a FASEB report published in 1992 (27), the expert panel concluded that the available data provided only a limited basis for safety evaluation of supplementary use amino acids, and that a systemic approach to safety testing is needed. The FNB IOM document on dietary reference intakes (28) published in 2001, also concludes that the available data are insufficient for deriving ULs of amino acids for healthy humans. Therefore it may be useful to summarize scientific data, scientific thought and future research projects required for deriving NOAELs, UFs and ULs for amino acids. Animal studies. Idealistically, properly-designed long-term animal studies are necessary for determination of NOAELs for individual amino acids. Also scientific strategies or scientific thoughts need to be established for the evaluation of long-term effects based on data from short-term studies and toxicodynamic/toxicokinetic studies. Adverse effects on neurological processes represent a primary concern for supplementary use of amino acids. Thus, neurotoxicological testing programs such as a Functional Observational Battery (FOB), a collection of noninvasive nervous system tests to evaluate manifestations of neurologic dysfunction (29), should be incorporated into animal studies of amino acids. Metabolic and physiological effects. High concentrations of certain amino acids such as glutamate, phenylalanine, cysteine or arginine are known to cause various, usually mild, effects on metabolic functions, hormonal secretion, immune function, or electrolyte balance (27). It is important to study possible adverse outcomes associated with the long term continuation of these effects. Subgroups potentially at higher risk for adverse effects from use of amino acid supplements. In the FASEB report, the expert panel members identified several subgroups potentially at higher risk for possible adverse health effects resulting from supplementary use of amino acids, these include (1) infants, children and adolescents; (2) pregnant and lactating women; (3) elderly individuals; (4) persons homozygous or heterozygous for inborn errors of amino acid metabolism; and (5) individuals with low intakes of protein. More data are needed on indispensable amino acid requirements for infants, children, adolescents, the elderly and pregnant women (28). Application of new technologies for metabolomics. The occurrence of adverse effects resulting from intakes of large amounts of an amino acid is attributable to high concentrations of the amino acid in the target tissues or generation of toxic metabolites/abnormal patterns of metabolites due to overload of the principal metabolic pathway. Thus, application of newly developed technologies for metabolomics will provide useful information related to mechanisms of adverse effects in association with large intakes of an amino acid. Approach for safety studies in humans. The available data are obviously deficient for deriving ULs for amino acids. However it should be considered that most of these data are Downloaded from jn.nutrition.org by on August 26, 2010 1 2 3 4 SUPPLEMENT 2024S obtained from toxicity testing of amino acids performed in accordance with the guidelines for food additives. Therefore, as an alternative approach, human studies carefully designed in accordance with safety standards inherent in the Phase I Clinical Trial for pharmaceuticals may be useful to produce critical data to assess the margin of safety for amino acids in supplementary use. LITERATURE CITED Downloaded from jn.nutrition.org by on August 26, 2010 1. Houk, V. N. (1989) The risk of risk assessment. Regul. Toxcol. Pharmacol. 9: 257–263. 2. 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