Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-23T17:35:22.144Z Has data issue: false hasContentIssue false

Blood serum interferon-γ bioactivity is low in weanling mice subjected to acute deficits of energy or both protein and energy

Published online by Cambridge University Press:  01 March 2007

Lyn M. Hillyer
Affiliation:
Department of Human Health and Nutritional Sciences, University of Guelph, Ontario, Canada N1G 2W1
Harry E. Maliwichi
Affiliation:
Department of Human Health and Nutritional Sciences, University of Guelph, Ontario, Canada N1G 2W1
Bill Woodward*
Affiliation:
Department of Human Health and Nutritional Sciences, University of Guelph, Ontario, Canada N1G 2W1
*
*Corresponding author: Dr Bill Woodward, fax +1 763 5902, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The main objective of the present study was to determine the influence of acute deficits of protein and energy on the blood serum level of interferon-γ, a signature type 1 polarising inflammatory cytokine. In two 14 d experiments, male and female C57BL/6J mice, initial age 19 d, consumed a complete purified diet ad libitum or in restricted daily quantities, or had free access to an isoenergetic purified low-protein diet. A zero-time control group (age 19 d) was included in the second experiment. Serum interferon-γ was assessed in both experiments by sandwich ELISA and, in the second experiment, also by a bioassay based on inhibition of proliferation by WEHI-279 B lymphoma cells. The immunoassay detected interferon-γ inconsistently in all groups (range 0–14 pg/ml; detection limits 1·5 and 0·7 pg/ml in experiments 1 and 2, respectively). By contrast, interferon-γ bioactivity was found in all animals of each group (means 339, 499, 124 and 200 pg/ml in zero-time controls, age-matched controls, low-protein and restricted intake groups, respectively; detection limit, 12 pg/ml), and the mean serum bioactivity of each malnourished group was low compared with the age-matched control (P ≤ 0·05). The present study defines the physiological serum interferon-γ bioactivity of the adolescent mouse. Moreover, to the extent achievable by way of the blood, the results reflect the influence of metabolically diverse forms of acute malnutrition on the polarising type 1 cytokine profile within lymphoid microenvironments wherein immune responses arise. Therefore, the results suggest a mechanism underlying the cell-mediated inflammatory incompetence that characterises acute, prepubescent malnutrition.

Type
Full Papers
Copyright
Copyright © The Authors 2007

Acute (i.e. wasting) prepubescent deficits of protein and/or energy consistently produce a profound depression in acquired cell-mediated immune competence, whereas humoral competence is less predictably affected (Woodward, Reference Woodward, Suskind and Tontisirin2001, Reference Woodward and Chandra2004). Interferon-γ, a signature type 1 polarising cytokine, promotes cell-mediated immune responses and the production of opsonising and complement-fixing subclasses of IgG antibody that support this type of response in defence against intracellular pathogens (Goldsby et al. Reference Goldsby, Kindt, Osborne, Kuby, Goldsby, Kindt, Osborne and Kuby2000; Szabo et al. Reference Szabo, Sullivan, Peng and Glimcher2003). By contrast, type 2 cytokines such as IL-4 and IL-10 promote production of antibodies whose main function is to provide protection in the extracellular space (Szabo et al. Reference Szabo, Sullivan, Peng and Glimcher2003). In vitro, T cells from rodents subjected to acute protein and energy deficits exhibit a reduced capacity for production of interferon-γ while sustaining the ability to produce type 2 cytokines (Woodward, Reference Woodward, Suskind and Tontisirin2001). These important findings pertain to the polarised effector stage of a T cell response; thus, they are consistent with the particular impact of acute malnutrition on cell-mediated immune competence, but provide little insight into the physiological basis for this phenomenon. In this connection, the polarising cytokine profile that prevails during antigen presentation determines the dominant effector T cell response that emerges, i.e. whether type 1 or type 2 cytokine-based (Szabo et al. Reference Szabo, Sullivan, Peng and Glimcher2003). It is of interest, therefore, to gain insight into the influence of acute malnutrition on the polarising cytokine profile of the immunological microenvironment.

Most cytokines function as autocrine and paracrine hormones and their blood serum or plasma concentrations represent spillover from sites of production. Although the blood cannot provide an accurate representation of cytokine concentrations within extravascular spaces, serum or plasma cytokine concentrations are reasonably interpreted to reflect cytokine levels at immunological sites of action (Bienvenu et al. Reference Bienvenu, Monneret, Gutowski and Fabien1998). This is analogous to the classic interpretation of blood endocrine hormone concentrations. Consequently, as discussed briefly elsewhere (Hillyer & Woodward, Reference Hillyer and Woodward2003), judiciously interpreted blood serum or plasma cytokine concentrations are useful in clinical practice and in research into the immunological characteristics both of diverse pathologies and of physiological conditions such as pregnancy, advancing age and the response to exercise. This point of view implicitly presupposes the acquisition of biologically meaningful estimates of serum or plasma cytokine concentrations.

The sandwich ELISA is the most popular technique for estimation of cytokine concentrations in biological fluids (Bienvenu et al. Reference Bienvenu, Monneret, Gutowski and Fabien1998). This is primarily because of the speed and simplicity of the assay combined with its specificity. However, cytokines in the blood are predominantly bound to numerous other proteins, and the sandwich ELISA is widely considered to detect only the unbound fraction (Bienvenu et al. Reference Bienvenu, Monneret, Gutowski and Fabien1998; Malone et al. Reference Malone, Napolitano, Genuit, Bochicchio, Kole and Scalea2001). Consistent with this model, a sandwich ELISA detected only 2 % of the IL-1, IL-6 and IL-10 present in human blood plasma according to a competitive binding assay (Malone et al. Reference Malone, Napolitano, Genuit, Bochicchio, Kole and Scalea2001), and could detect little more than 1 % of the IL-10 bioactivity found in the blood serum of the mouse (Hillyer & Woodward, Reference Hillyer and Woodward2003). Further, a cytokine immunoactivity cannot be presumed to detect a representative fraction of bioactivity because of the inability of an immunoassay to discriminate between biologically active and inactive molecules bearing the epitope(s) that the assay is designed to detect (Bienvenu et al. Reference Bienvenu, Monneret, Gutowski and Fabien1998). A validated bioassay, therefore, remains the standard against which all other assays should be assessed for the purpose of quantifying blood cytokine concentrations (Hillyer & Woodward, Reference Hillyer and Woodward2003).

The main objective of the present investigation was to determine whether metabolically distinct forms of acute prepubescent malnutrition influence the concentration of interferon-γ in the blood serum of the mouse in a manner consistent with the known depression in interferon-γ-dependent immune competence in these wasting pathologies. The sandwich ELISA has usually failed to detect interferon-γ in the serum or plasma of the laboratory mouse (for example, Cowdery et al. Reference Cowdery, Chace, Yi and Krieg1996; Mukherjee & Talwar, Reference Mukherjee and Talwar1996; Halford et al. Reference Halford, Veress, Gebhardt and Carr1998; Faggioni et al. Reference Faggioni, Moser, Feingold and Grunfeld2000; Sass et al. Reference Sass, Heinlein, Agli, Bang, Schumann and Tiegs2002) and man (for example, Gonzalez-Quintela et al. Reference Gonzalez-Quintela, Vidal, Lojo, Perez, Otero-Anton, Gude and Barrio1999; Verbon et al. Reference Verbon, Juffermans, van Deventer, Speelman, van Deutekom and van der Poll1999; Sutas et al. Reference Sutas, Kekki and Isolauri2000; Yoshizawa et al. Reference Yoshizawa, Nomaguchi, Izaki and Kitamura2002), although exceptions can be cited both for the mouse (Mooney et al. Reference Mooney, Spolski, See and Kuhn2000) and for man (Szegedi et al. Reference Szegedi, Magdolna, Gonda, Irinyi, Sipka, Hunyadi and Antal-Szalmas2003). Moreover, a previous attempt to quantify murine blood serum interferon-γ bioactivity also failed to detect the cytokine by means of a bioassay based on inhibition of a viral cytopathic effect in vitro (Solis-Pereyra et al. Reference Solis-Pereyra, Aattouri and Lemonnier1997). Nevertheless, in view of the ongoing production of interferon-γ by several types of cells, notably natural killer cells and effector T cells (Goldsby et al. Reference Goldsby, Kindt, Osborne, Kuby, Goldsby, Kindt, Osborne and Kuby2000), it must be expected that this cytokine is a physiological component of blood serum or plasma. Therefore, a second objective of the present investigation was to identify a bioassay for interferon-γ suitable for application to blood serum.

Experimental methods

Animals and facilities

Male and female C57BL/6J mice were used from an in-house breeding colony derived from animals purchased several years earlier from the Jackson Laboratory (Bar Harbor, ME, USA). This colony is maintained under conventional conditions, but incoming air is filtered, each cage is supplied with a filter lid and positive pressure is maintained relative to the adjoining corridor. According to periodic analysis of sentinel mice maintained in cages without filter lids, the colony is free of common viral pathogens as well as Mycoplasma pulmonis and intestinal parasites. Caging and housing conditions were exactly as described previously (Konyer et al. Reference Konyer, Hillyer and Woodward2003; Neyestani & Woodward, Reference Neyestani and Woodward2005), and the investigation was approved by the Animal Care Committee of the University of Guelph in accordance with the guidelines of the Canadian Council on Animal Care.

Diets, feeding protocols and experimental design

Two experiments were conducted. Mice were weaned at age 18 d and acclimated for 1 d with free access to a complete purified diet used routinely in this laboratory (Konyer et al. Reference Konyer, Hillyer and Woodward2003; Neyestani & Woodward, Reference Neyestani and Woodward2005). A typical proximate analysis for this diet is 92·3 % DM, 18·8 % crude protein, 8·1 % diethyl ether extract, 2·6 % ash, 3·1 % crude fibre and 17·0 kJ gross energy/g (Neyestani & Woodward, Reference Neyestani and Woodward2005). At age 19 d, the mice were randomly allocated to experimental groups. These included an age-matched control group that consumed the complete diet ad libitum, a group that consumed the complete diet in restricted daily quantities, a group given free access to a low-protein purified diet and, in the second experiment, a zero-time control group that was examined at age 19 d to permit discrimination between diet- and ontogeny-related phenomena. The quantity of diet given the mice in the restricted intake group was calculated daily according to each animal's pattern of weight loss according to a standardised procedure in this laboratory (Neyestani & Woodward, Reference Neyestani and Woodward2005). The purified low-protein diet (Konyer et al. Reference Konyer, Hillyer and Woodward2003) contained 0·6 % crude protein (as fed) and was prepared by replacement of most of the egg white (80 % crude protein; US Biochemical, Cleveland, OH, USA) of the complete diet with an equal weight of maize starch (St Lawrence Starch, Port Credit, Canada). These long-established protocols of acute malnutrition consistently elicit a linear pattern of weight loss, between 1·5 and 2 % of initial body weight daily, throughout the 14 d experimental period.

During the acclimation and experimental periods, animals were housed individually in cages without filter lids. In addition, all animals had free access to clean tap water, and coprophagy was permitted. The three groups other than the zero-time control were maintained on their respective regimens for 14 d, i.e. from age 19 d to age 33 d. In the first experiment, sample sizes were nine (four females and five males), ten (five females and five males) and ten (five females and five males) for the age-matched control, low-protein and restricted intake groups, respectively, and each sample within the malnourished groups was made by pooling two to three mice. In the second experiment, six mice (three females and three males) were included in each of the four groups, and each sample of malnourished animals was made by pooling three mice whereas each sample of zero-time controls was made by pooling two animals. In both experiments, pooling was maintained within sexes, and a pooled sample constituted a single degree of freedom for the purpose of statistical analysis. At the end of the 14 d experimental period, or at age 19 d (zero-time control group), blood was taken from each mouse and the carcasses were stored at − 20°C to await analysis.

Blood collection

After measurement of body weight, blood was taken from the orbital plexus of each mouse under CO2 anaesthesia as described previously (Neyestani & Woodward, Reference Neyestani and Woodward2005), and the animals were killed by cervical dislocation without recovering consciousness. The blood was allowed to clot at room temperature for 30 min, and the resulting serum was stored at − 80°C.

Serum interferon-γ immunoassay

Serum interferon-γ immunoactivity was determined using a commercial sandwich ELISA kit (BD Biosciences, Mississauga, ON, Canada) exactly according to the manufacturer's instructions. Outcomes were quantified by optical density at 450 nm, with background correction at 570 nm, using a Vmax kinetic plate reader (Molecular Devices, Menlo Park, CA, USA).

Serum interferon-γ bioassay

The procedure was performed as described elsewhere (Reynolds et al. Reference Reynolds, Boom and Abbas1987) with minor modifications, and is based on the well-known capacity of interferon-γ to inhibit B cell proliferation. Briefly, WEHI-279 mouse B lymphoma cells (CRL-1704; American Type Culture Collection, Manassas, VA, USA) were maintained in Dulbecco's modified Eagle's medium (Sigma-Aldrich Canada, Oakville, ON, Canada) supplemented to contain 4 mm-l-glutamine, 1·5 g sodium bicarbonate/l, 4·5 g glucose/l, 0·11 g sodium pyruvate/l, 3·9 mg 2-mercaptoethanol/l and 10 % heat-inactivated fetal calf serum (Sigma-Aldrich Canada). Assays were performed using ninety-six-well V-bottom microplates (Nunc 249662; VWR Canlab, Mississauga, ON, Canada) and each well included 20 × 103 WEHI cells in 200 μl medium to which had been added 15 μl of either serum sample or recombinant mouse interferon-γ standard (catalogue no. CL9209R; Cedarlane Laboratories, Hornby, ON, Canada), the latter to construct a standard curve. Cultures were maintained at 37°C for 3 d in a humidified atmosphere containing 5 % CO2, and were pulsed, for the last 4 h, with 37 kBq per well methyl-[3H]thymidine (specific activity 250 GBq/mmol; MP Biomedicals, Solon, OH, USA). All samples were assayed in triplicate, and assay specificity was ensured by also including triplicate wells of each sample to which were added anti-mouse interferon-γ (1 μg/ml; clone RMMG-1, rat IgG1; BD Biosciences, Mississauga, ON, Canada).

Carcass composition

DM and total lipid concentrations were determined as described elsewhere (Konyer et al. Reference Konyer, Hillyer and Woodward2003; Neyestani & Woodward, Reference Neyestani and Woodward2005).

Statistical analysis

Statistical analysis was performed according to the Statistical Analysis Systems (SAS) software package version 8.2 (SAS Institute, Cary, NC, USA), and a predetermined upper limit of probability of P ≤ 0·05 was applied for statistical significance. Data were subjected to two-way ANOVA followed, if justified by the resulting statistical probability value (i.e. P ≤ 0·05), by Duncan's new multiple range test. The analyses were conducted with diet (including the zero-time control group in the second experiment) and sex as main effects. Data sets that failed to exhibit normal distribution according to each of the four tests applied by the SAS program (P ≤ 0·05) were subjected to transformation to bring them into conformity with this basic assumption of parametric testing. Where transformation attempts failed, data were subjected to the Kruskal–Wallis test (χ2 approximation) which was applied to Wilcoxon rank sums followed, if justified by statistical probability (P ≤ 0·05), by χ2 comparisons of Wilcoxon two-sample rank sums.

Results

The malnutrition protocols elicited distinct weight-loss pathologies

Growth indices for the two experiments are shown in Table 1 and reflect similar outcomes in the separate studies. Initial body weights did not differ among groups, and the food intakes and gains in fat and lean tissue exhibited by the age-matched control group were comparable with previous results pertaining to C57BL/6J weanlings given free access to the same complete purified diet (Konyer et al. Reference Konyer, Hillyer and Woodward2003; Neyestani & Woodward, Reference Neyestani and Woodward2005). Weight loss did not differ between the two malnourished groups, which exhibited deficits in both lean and fat tissue. However, the restricted intake protocol induced a greater loss of carcass lipid (and, hence, a greater deficit in carcass energy) than the low-protein protocol. Further, both malnourished groups exhibited low food intakes relative to the age-matched control, including low levels of intake on a body-weight basis. In summary, as discussed previously (Konyer et al. Reference Konyer, Hillyer and Woodward2003), the low-protein protocol elicited a wasting deficit of both protein and energy, whereas the restricted intake protocol produced mainly a deficit of energy.

Table 1 Initial and final body weights, food intakes and carcass compositions (Mean values with their pooled standard errors)

B, zero-time control group, age 19 d; C, age-matched control group given free access to complete diet; LP, group given free access to low-protein diet; R, group fed complete diet in restricted daily quantities.

a,b,c,d Within a row, values with unlike superscript letters were significantly different (P ≤ 0·05) according to Duncan's new multiple range test or (experiment 2, carcass lipid) according to a Kruskal–Wallis test of Wilcoxon rank sums that were as follows: B, 92·0; C, 124·0; LP, 63·0; R, 21·0. Outcomes pertain to diet main effect, only. In both experiments, main effects of sex (not shown) were apparent only on final body weights (males greater than females) and food intakes expressed on a body-weight basis (females greater than males).

* From ANOVA of natural log-transformed data. Mean value is antilog of log mean.

Blood serum interferon-γ immunoactivity: physiological levels and the influence of acute forms of protein and energy deficit

The serum interferon-γ immunoactivities revealed by sandwich ELISA are shown in Fig. 1 for the first experiment and in Fig. 2 (A) for the second experiment. The linearity of the standard curve of the assay, expressed as R 2, exceeded 0·99 in both experiments. In addition, the reliability (intra-assay CV) and detection limit of the assay were estimated as described elsewhere (Hillyer & Woodward, Reference Hillyer and Woodward2003) and were, respectively, 5·2 % (experiment 1) and 1·5 % (experiment 2) and 1·5 pg/ml (experiment 1) and 0·7 pg/ml (experiment 2). Interferon-γ levels near the detection limit of the assay were found in all groups together with evidence of a decline in interferon-γ immunoactivity during post-weaning prepubescent ontogeny. In both experiments, the healthy adolescent mouse exhibited an immunoactivity below the detection limit of the ELISA, as did the mice subjected to a combined protein and energy deficit by consumption of the low-protein diet. By contrast, energy deficit apart from protein insufficiency (i.e. the restricted intake model) inconsistently supported a detectable level of interferon-γ immunoactivity such that the group level detected differed statistically from that of the age-matched control group only in the first experiment. Results pertaining to sex are not shown because this factor did not affect the level of interferon-γ immunoactivity (P = 0·64 and 0·97, respectively, in the first and second experiments). Moreover, the parametric analysis to which the data from the first experiment could be subjected revealed that the influence of diet on serum interferon-γ immunoactivity was independent of sex (interaction P = 0·77).

Fig. 1 Serum interferon-γ concentrations determined by sandwich ELISA. Weanling C57BL/6J mice had free access to a complete purified diet (group C; four females and five males), or an isoenergetic low-protein diet (group LP; five females and five males) or were fed the complete diet in restricted daily quantities (group R; five females and five males). The mice were fed for 14 d beginning at 19 d of age and the malnourished groups lost approximately 1·8 % of initial body weight daily. Values are means, with standard deviations represented by vertical bars. a,b Mean values with unlike letters were significantly different (P ≤ 0·05) according to Duncan's new multiple range procedure (pooled sem 0·29). (---), Detection limit of the assay.

Fig. 2 Interferon-γ concentrations determined by (A) sandwich ELISA and (B) bioassay in the same samples of blood serum. Weanling C57BL/6J mice had free access to a complete purified diet (group C), or an isoenergetic low-protein diet (group LP), or were fed the complete diet in restricted daily quantities (group R). Zero-time controls (group B; age 19 d) were also included. Groups C, LP and R were fed for 14 d beginning at 19 d of age and the malnourished groups lost approximately 1·6 % of initial body weight daily. Each of the four groups included three females and three males. (A) The diet main-effect for the immunoassay was significant (P = 0·024) based on a Kruskal–Wallis test of Wilcoxon rank sums which were 106·0 (group B), 57·0 (group C), 57·0 (group LP) and 80·0 (group R). a,b Groups with unlike letters were significantly different in serum interferon-γ immunoactivity (P ≤ 0·05) according to χ2 comparisons of Wilcoxon two-sample rank sums. (B) The diet main-effect for the bioassay was significant (P = 0·038) and the values, with standard deviations, are antilogs of means from natural log-transformed data. a,b Mean values of serum interferon-γ bioactivity with unlike letters were significantly different (P ≤ 0·05) according to Duncan's new multiple range procedure (pooled sem 0·059). (---), Detection limit of the ELISA (A) or bioassay (B).

Application of the WEHI-279 bioassay to blood serum

A typical standard curve obtained in connection with the WEHI-279 proliferation inhibition bioassay is shown in Fig. 3. The curve conformed to a logarithmic function up to an in-well concentration of 625 pg/ml, representing dilutions of 15 : 100. Averaging across the assays used in the present investigation, the linearity of the standard curve, expressed as R 2, was 0·99, and the reliability (intra-assay CV) and in-well detection limit of the assays, estimated as described elsewhere (Hillyer & Woodward, Reference Hillyer and Woodward2003), were 3·0 % and 12 pg/ml, respectively. Correction for non-interferon-γ inhibitory activity proved essential to the specificity of the assay when applied to blood serum. The proportion of inhibitory activity attributable to interferon-γ was 44 (sd 15) % across dietary groups and was independent of both diet (P = 0·59) and sex (P = 0·61).

Fig. 3 A representative standard curve for the interferon-γ bioassay. Quality-control measures include: linearity of standard curve between 20 and 625 pg/ml interferon-γ, representing in-well concentrations (R 2 0·99); intra-assay CV as an estimate of reliability (2·8 %); in-well detection limit represented by the vertical dashed line (14·4 pg/ml). The assay was based on inhibition of proliferation of WEHI-279 mouse B lymphoma cells in vitro and the outcome measure was uptake of [3H]thymidine (counts/min; cpm). Values are the means of three replicates, with the vertical bars representing the range of cpm values obtained at the corresponding cytokine concentration.

Blood serum interferon-γ bioactivity: physiological levels and the influence of acute forms of protein and energy deficit

Serum interferon-γ bioactivities are shown in Fig. 2 (B). All groups exhibited bioactivities far above the detection limit of the assay and, comparison with the results in Fig. 2 (A) (pertaining to the same samples), revealed that the sandwich ELISA detected no more than 1 % of the interferon-γ bioactivity in the blood serum of the adolescent mouse either in health or in wasting disease. By further contrast with the results obtained by ELISA, both malnourished groups exhibited a low interferon-γ bioactivity relative to the age-matched control group which, in turn, did not differ from the zero-time control group in terms of this index. Sex did not influence serum interferon-γ bioactivity (P = 0·72) nor did the influence of diet on this index depend on sex (interaction P = 0·86). Hence, results pertaining to sex are not shown.

Discussion

The present investigation identifies a bioassay suitable for quantification of interferon-γ concentrations in blood serum. The assay reveals a low bioactivity of interferon-γ in this biological fluid, independently of sex, in advanced stages of metabolically diverse forms of acute, prepubescent protein and/or energy deficit. Mean serum bioactivities were 25 and 40 % of age-matched control in the low-protein and restricted intake groups, respectively. By contrast, the influence of these pathologies on blood serum immunoactivities of the same cytokine, as revealed by sandwich ELISA, depended on the metabolic characteristics of the nutritional deficit. In studies of biological fluids, assays that detect total cytokine levels must be preferred over the sandwich ELISA that detects only a tiny unbound fraction (Malone et al. Reference Malone, Napolitano, Genuit, Bochicchio, Kole and Scalea2001) of unknown biological potency (Bienvenu et al. Reference Bienvenu, Monneret, Gutowski and Fabien1998). Also, a recent report pertaining to IL-10 in the mouse (Hillyer & Woodward, Reference Hillyer and Woodward2003) highlights the bioassay as the gold standard for quantification of blood cytokine concentrations. Interpretation of the results of the present investigation, therefore, centres on the outcomes of the bioassay procedure. Importantly, numerous previous studies demonstrate depressed primary cell-mediated immune competence in both models of acute malnutrition used in the present investigation (Woodward, Reference Woodward, Suskind and Tontisirin2001). Moreover, the low-protein and restricted intake protocols used here impose pathologies closely mimicking, and relevant to, the well-defined human conditions of incipient kwashiorkor and marasmus (Konyer et al. Reference Konyer, Hillyer and Woodward2003; Neyestani & Woodward, Reference Neyestani and Woodward2005). Consequently, low concentrations of interferon-γ within the lymphoid microenvironment may contribute to depression in cell-mediated immune competence in acute prepubescent protein and energy deficiencies, at least in their advanced stages. Analysis of the zero-time control group included in the design of these experiments permits the conclusion that the cytokine bioactivity profile identified here in association with acute malnutrition reflects more than a biologically trivial delay in weanling ontogeny.

The results of the present investigation are relevant to a growing body of evidence that adaptive immune competence in acute malnutrition features a new balance between type 1 and type 2 cytokines. This proposition (Woodward, Reference Woodward and Chandra2004; Neyestani & Woodward, Reference Neyestani and Woodward2005) is based on several types of evidence. In the first place, cell-mediated immune competence is consistently depressed by acute malnutrition, whereas humoral responses are less predictably affected (Woodward, Reference Woodward, Suskind and Tontisirin2001, Reference Woodward and Chandra2004). Moreover, the serum immunoglobulins of mice subjected to malnutrition according to the experimental protocols used in the present investigation are skewed toward a class and subclass profile consistent with systemic type 2 cytokine polarisation (Neyestani & Woodward, Reference Neyestani and Woodward2005). Some evidence pertaining directly to cytokines is also available. In particular, T cells from acutely malnourished rodents have exhibited a depressed capacity to produce interferon-γ in response to antigen and polyclonal mitogen stimulation, while production of IL-4 remained unaffected (Woodward, Reference Woodward, Suskind and Tontisirin2001). Similarly, a type 2 cytokine shift was apparent when IL-4 and interferon-γ production was assessed, in vitro, in mitogen-stimulated blood T cells from rheumatoid arthritis patients subjected to a short-term fast (Fraser et al. Reference Fraser, Thoen, Reseland, Forre and Kjeldsen-Kragh1999). Now, the present results demonstrate low serum bioactivities of a signature type 1 cytokine, thereby constituting the first evidence of the impact of acute malnutrition on the net ability to sustain a polarising type 1 or type 2 cytokine in vivo. In addition, high blood serum bioactivities of the type 2 cytokine, IL-10 (albeit not a polarising cytokine), are reported in the experimental systems used in the present investigation (Hillyer et al. Reference Hillyer, Dao, Niemiec, Lee, Doidge, Bemben, Neyestani and Woodward2006). Therefore, to the extent that extrapolation from the blood to extravascular fluids is meaningful, as discussed in a substantial literature elsewhere (for example, Bienvenu et al. Reference Bienvenu, Monneret, Gutowski and Fabien1998), evidence is accruing that acute deficits of protein and energy elicit type 2 polarisation on the part of the cytokine microenvironment within which immune responses arise. These results reflect the polarising milieu influencing initiation of both primary responses, i.e. within lymphoid organs, and memory responses, i.e. in the non-lymphoid periphery. The type 2 polarised endpoint of adaptive immune competence in acute malnutrition, therefore, may have its origins at least partly in the polarising cytokine microenvironment that prevails at the moment of antigen encounter.

The present investigation does not address the mechanism underlying the low blood serum levels of interferon-γ in acute protein and energy deficits. However, several reasonable possibilities can be cited. Numerous inflammatory cytokines, including interferon-γ, are positively regulated through the transcription factor NF-κB (Ghosh et al. Reference Ghosh, May and Kopp1998), which is reported to resist activation in one model of murine combined protein and energy deficiency known to produce cell-mediated immune depression (Anstead et al. Reference Anstead, Chandrasekar, Zhang and Melby2003). The high blood serum levels of IL-10 reported in the experimental systems used in the present investigation (Hillyer et al. Reference Hillyer, Dao, Niemiec, Lee, Doidge, Bemben, Neyestani and Woodward2006) are relevant in this context. This cytokine is a primary anti-inflammatory mediator that indirectly down regulates production of interferon-γ by polarised effector T cells both by inhibiting dendritic cell maturation and by inhibiting IL-12 production by mature antigen-presenting cells (Moore et al. Reference Moore, de Waal-Malefyt, Coffman and O'Garra2001). In fact, the latter action, probably the main anti-inflammatory influence of IL-10, is mediated through inhibiting activation of NF-κB (Moore et al. Reference Moore, de Waal-Malefyt, Coffman and O'Garra2001). In addition, the experimental protocols used here induce high serum levels of a second potently anti-inflammatory cytokine, namely transforming growth factor-β (Hillyer et al. Reference Hillyer, Dao, Niemiec, Lee, Doidge, Bemben, Neyestani and Woodward2006). This cytokine suppresses production of interferon-γ by natural killer cells, the main source of this type 1 polarising activity early in an adaptive immune response (Laouar et al. Reference Laouar, Sutterwala, Gorelik and Flavell2005). Transforming growth factor-β also suppresses expression of T-bet and Stat4, which are transcription factors that promote differentiation of naive T cells to become effectors secreting interferon-γ (Ming et al. Reference Ming, Wan, Sanjabi, Robertson and Flavell2006). Thus, several mechanisms appear likely to conspire to reduce the synthesis of interferon-γ in acute malnutrition. The possibility cannot be dismissed that an influence on turnover is also a factor although, using the acute-phase proteins as a guide (Woodward, Reference Woodward, Suskind and Tontisirin2001), reduced turnover of interferon-γ would be anticipated during wasting disease.

The results of the present investigation are consistent with the consensus of the published literature that the sandwich ELISA fails to detect interferon-γ in the blood of the healthy laboratory mouse (for example, Cowdery et al. Reference Cowdery, Chace, Yi and Krieg1996; Mukherjee & Talwar, Reference Mukherjee and Talwar1996; Halford et al. Reference Halford, Veress, Gebhardt and Carr1998; Faggioni et al. Reference Faggioni, Moser, Feingold and Grunfeld2000; Sass et al. Reference Sass, Heinlein, Agli, Bang, Schumann and Tiegs2002) or human subjects (for example, Gonzalez-Quintela et al. Reference Gonzalez-Quintela, Vidal, Lojo, Perez, Otero-Anton, Gude and Barrio1999; Verbon et al. Reference Verbon, Juffermans, van Deventer, Speelman, van Deutekom and van der Poll1999; Sutas et al. Reference Sutas, Kekki and Isolauri2000; Yoshizawa et al. Reference Yoshizawa, Nomaguchi, Izaki and Kitamura2002). Previous attempts to quantify murine blood serum interferon-γ bioactivity were based on inhibition of a viral cytopathic effect in vitro and also failed to detect the cytokine (Solis-Pereyra et al. Reference Solis-Pereyra, Aattouri and Lemonnier1997). Moreover, unidentified blood serum inhibitors preclude the use of macrophage-based bioassays centred on stimulation of NO production or expression of major histocompatibility antigens (LM Hillyer and B Woodward, unpublished results). The present findings using the WEHI-279 bioassay, therefore, assume significance as a successful attempt to define the blood serum interferon-γ bioactivity of the healthy adolescent mouse maintained in a clean, conventional environment. Interferon-γ appears to be a normal component of murine blood, and a level of 0·5 ng/ml emerges as the first estimate of the physiological serum bioactivity of this cytokine after taking appropriate measures to ensure the specificity of the assay. Importantly, the sandwich ELISA failed to detect interferon-γ immunoactivity in serum from the same animals, an outcome that poignantly extends previous findings pertaining to IL-1, − 6 and − 10 illustrating the unsuitability of this type of assay for determining cytokine levels in the blood (Malone et al. Reference Malone, Napolitano, Genuit, Bochicchio, Kole and Scalea2001; Hillyer & Woodward, Reference Hillyer and Woodward2003; Hillyer et al. Reference Hillyer, Dao, Niemiec, Lee, Doidge, Bemben, Neyestani and Woodward2006) and, presumably, in other tissue fluids either in health or in disease.

A malnutrition-associated depression in serum interferon-γ bioactivity, as reported in the present paper, is consistent with the cell-mediated inflammatory incompetence that characterises acute forms of protein and energy deficit (Woodward, Reference Woodward, Suskind and Tontisirin2001, Reference Woodward and Chandra2004) and suggests a mechanism likely to underlie this well-established immunological phenomenon. In addition, the present investigation identifies a bioassay that can be applied to interferon-γ in the blood and, presumably, in other tissue fluids. Significantly, this assay produced results consistent with the immunopathology of the experimental systems under study, whereas the ever-popular sandwich ELISA did not. If attention is centred on the information provided by the bioassay, the results of the present investigation lend support to the proposition (Woodward, Reference Woodward and Chandra2004) that adaptive immune depression in acute forms of malnutrition reflects physiological regulation rather than a biologically trivial disintegrative process.

Acknowledgements

The present study was supported by a grant awarded to B. W. by the Natural Sciences and Engineering Research Council of Canada and by a scholarship awarded to H. E. M. by the Association of Commonwealth Universities. A portion of the investigation comprised part of the MSc research of H. E. M. For laboratory quality control and setting up the bioassay procedure, L. M. H. took primary responsibility. B. W. served as principal investigator.

References

Anstead, GM, Chandrasekar, B, Zhang, Q & Melby, PC (2003) Multinutrient undernutrition dysregulates the resident macrophage proinflammatory cytokine network, nuclear factor-κB activation, and nitric oxide production. J Leuk Biol 74, 982991.CrossRefGoogle ScholarPubMed
Bienvenu, JAD, Monneret, G, Gutowski, MC & Fabien, N (1998) Cytokine assays in human sera and tissues. Toxicology 129, 5561.CrossRefGoogle Scholar
Cowdery, JS, Chace, JH, Yi, A-K & Krieg, AM (1996) Bacterial DNA induces NK cells to produce IFN-γ in vivo and increases the toxicity of lipopolysaccharides. J Immunol 156, 45704575.CrossRefGoogle ScholarPubMed
Faggioni, R, Moser, A, Feingold, KR & Grunfeld, C (2000) Reduced leptin levels in starvation increase susceptibility to endotoxic shock. Am J Pathol 156, 17811787.CrossRefGoogle ScholarPubMed
Fraser, DA, Thoen, J, Reseland, JE, Forre, O & Kjeldsen-Kragh, J (1999) Decreased CD4+ lymphocyte activation and increased interleukin-4 production in peripheral blood of rheumatoid arthritis patients after acute starvation. Clin Rheumatol 18, 394401.CrossRefGoogle ScholarPubMed
Ghosh, S, May, MJ & Kopp, EB (1998) NF-kappa B and Rel proteins: evolutionarily conserved mediators of immune responses. Annu Rev Immunol 16, 225260.CrossRefGoogle ScholarPubMed
Goldsby, RA, Kindt, TJ, Osborne, BA & Kuby, J (2000) Cytokines. In Immunology, 5th ed., pp. 276298 [Goldsby, RA, Kindt, TJ, Osborne, BA and Kuby, J, editors]. New York: WH Freeman and Company.Google Scholar
Gonzalez-Quintela, A, Vidal, C, Lojo, S, Perez, LF, Otero-Anton, E, Gude, F & Barrio, E (1999) Serum cytokines and increased total serum IgE in alcoholics. Ann Allergy Asthma Immunol 83, 6167.CrossRefGoogle ScholarPubMed
Halford, WP, Veress, LA, Gebhardt, BM & Carr, DJJ (1998) Immunization with HSV-1 antigen rapidly protects against HSV-1-induced encephalitis and is IFN-γ independent. J Interferon Cytokine Res 18, 151158.CrossRefGoogle ScholarPubMed
Hillyer, L, Dao, B, Niemiec, P, Lee, S, Doidge, M, Bemben, I, Neyestani, T & Woodward, B (2006) Elevated bioactivity of the tolerogenic cytokines, interleukin-10 and transforming growth factor-β, in the blood of acutely malnourished weanling mice. Exp Biol Med 231, 14391447.CrossRefGoogle ScholarPubMed
Hillyer, LM & Woodward, B (2003) Interleukin-10 concentration determined by sandwich enzyme-linked immunosorbent assay is unrepresentative of bioactivity in murine blood. Am J Physiol 285, R1514R1519.Google ScholarPubMed
Konyer, J, Hillyer, LM & Woodward, B (2003) Splenic dendritic cell populations of the weanling mouse involute proportionately with total nucleated cell numbers throughout acute protein and energy deficiencies except in the most advanced stages of nitrogen-to-energy imbalance. Nutr Res 23, 921931.CrossRefGoogle Scholar
Laouar, Y, Sutterwala, FS, Gorelik, L & Flavell, R (2005) Transforming growth factor-β controls T helper type 1 cell development through regulation of natural killer cell interferon-γ. Nat Immunol 6, 600607.CrossRefGoogle ScholarPubMed
Malone, D, Napolitano, LM, Genuit, T, Bochicchio, GV, Kole, K & Scalea, TM (2001) Total cytokine immunoassay: a more accurate method of cytokine measurement? J Trauma 50, 821825.CrossRefGoogle ScholarPubMed
Ming, OL, Wan, YY, Sanjabi, S, Robertson, AL & Flavell, RA (2006) Transforming growth factor-β regulation of immune responses. Annu Rev Immunol 24, 99146.Google Scholar
Mooney, KA, Spolski, RJ, See, EJ & Kuhn, RE (2000) Immune destruction of larval Taenia crassiceps in mice. Infec Immun 68, 23932401.CrossRefGoogle ScholarPubMed
Moore, KW, de Waal-Malefyt, R, Coffman, RL & O'Garra, A (2001) Interleukin-10 and the interleukin-10 receptor. Annu Rev Immunol 19, 683765.CrossRefGoogle ScholarPubMed
Mukherjee, S & Talwar, GP (1996) Termination of pregnancy in rodents by oral administration of praneem, a purified neem seed extract. Am J Reprod Immunol 35, 5156.CrossRefGoogle ScholarPubMed
Neyestani, TR & Woodward, B (2005) Blood concentrations of Th2-type immunoglobulins are selectively increased in weanling mice subjected to acute malnutrition. Exp Biol Med 230, 128134.Google ScholarPubMed
Reynolds, DS, Boom, WH & Abbas, AK (1987) Inhibition of B lymphocyte activation by interferon-γ. J Immunol 139, 767773.CrossRefGoogle ScholarPubMed
Sass, G, Heinlein, S, Agli, A, Bang, R, Schumann, J & Tiegs, G (2002) Cytokine expression in three mouse models of experimental hepatitis. Cytokine 19, 115120.Google ScholarPubMed
Solis-Pereyra, B, Aattouri, N & Lemonnier, D (1997) Role of food in the stimulation of cytokine production. Am J Clin Nutr 66, 521S525S.CrossRefGoogle ScholarPubMed
Sutas, Y, Kekki, O-M & Isolauri, E (2000) Late onset reactions to oral food challenge are linked to low serum interleukin-10 concentrations in patients with atopic dermatitis and food allergy. Clin Exp Allergy 30, 11211128.CrossRefGoogle ScholarPubMed
Szabo, SJ, Sullivan, BM, Peng, SL & Glimcher, LH (2003) Molecular mechanisms regulating Th1 immune responses. Annu Rev Immunol 21, 713758.CrossRefGoogle ScholarPubMed
Szegedi, A, Magdolna, A, Gonda, A, Irinyi, B, Sipka, S, Hunyadi, J & Antal-Szalmas, P (2003) Elevated rate of Thelper1 (TH1) lymphocytes and serum IFN-γ levels in psoriatic patients. Immunol Lett 86, 277280.CrossRefGoogle ScholarPubMed
Verbon, A, Juffermans, N, van Deventer, SJH, Speelman, P, van Deutekom, H & van der Poll, T (1999) Serum concentrations of cytokines in patients with active tuberculosis (TB) and after treatment. Clin Exp Immunol 115, 110113.CrossRefGoogle ScholarPubMed
Woodward, B (2001) The effect of protein-energy malnutrition on immune competence. In Nutrition, Immunity, and Infection in Infants and Children, pp. 89120 [Suskind, RM and Tontisirin, K, editors]. Philadelphia, PA: Vevey/Lippincott Williams & Wilkins.Google Scholar
Woodward, B (2004) Depressed adaptive immune competence in acute protein-energy malnutrition: a regulated pathophysiology controlled by endocrine hormones and cytokines. In Nutrition and Immunology in the 21st Century, pp. 2338 [Chandra, RK, editor]. Toronto: TSAR Health.Google Scholar
Yoshizawa, Y, Nomaguchi, H, Izaki, S & Kitamura, K (2002) Serum cytokine levels in atopic dermatitis. Clin Exp Dermatol 27, 225229.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Initial and final body weights, food intakes and carcass compositions (Mean values with their pooled standard errors)

Figure 1

Fig. 1 Serum interferon-γ concentrations determined by sandwich ELISA. Weanling C57BL/6J mice had free access to a complete purified diet (group C; four females and five males), or an isoenergetic low-protein diet (group LP; five females and five males) or were fed the complete diet in restricted daily quantities (group R; five females and five males). The mice were fed for 14 d beginning at 19 d of age and the malnourished groups lost approximately 1·8 % of initial body weight daily. Values are means, with standard deviations represented by vertical bars. a,b Mean values with unlike letters were significantly different (P ≤ 0·05) according to Duncan's new multiple range procedure (pooled sem 0·29). (---), Detection limit of the assay.

Figure 2

Fig. 2 Interferon-γ concentrations determined by (A) sandwich ELISA and (B) bioassay in the same samples of blood serum. Weanling C57BL/6J mice had free access to a complete purified diet (group C), or an isoenergetic low-protein diet (group LP), or were fed the complete diet in restricted daily quantities (group R). Zero-time controls (group B; age 19 d) were also included. Groups C, LP and R were fed for 14 d beginning at 19 d of age and the malnourished groups lost approximately 1·6 % of initial body weight daily. Each of the four groups included three females and three males. (A) The diet main-effect for the immunoassay was significant (P = 0·024) based on a Kruskal–Wallis test of Wilcoxon rank sums which were 106·0 (group B), 57·0 (group C), 57·0 (group LP) and 80·0 (group R). a,b Groups with unlike letters were significantly different in serum interferon-γ immunoactivity (P ≤ 0·05) according to χ2 comparisons of Wilcoxon two-sample rank sums. (B) The diet main-effect for the bioassay was significant (P = 0·038) and the values, with standard deviations, are antilogs of means from natural log-transformed data. a,b Mean values of serum interferon-γ bioactivity with unlike letters were significantly different (P ≤ 0·05) according to Duncan's new multiple range procedure (pooled sem 0·059). (---), Detection limit of the ELISA (A) or bioassay (B).

Figure 3

Fig. 3 A representative standard curve for the interferon-γ bioassay. Quality-control measures include: linearity of standard curve between 20 and 625 pg/ml interferon-γ, representing in-well concentrations (R2 0·99); intra-assay CV as an estimate of reliability (2·8 %); in-well detection limit represented by the vertical dashed line (14·4 pg/ml). The assay was based on inhibition of proliferation of WEHI-279 mouse B lymphoma cells in vitro and the outcome measure was uptake of [3H]thymidine (counts/min; cpm). Values are the means of three replicates, with the vertical bars representing the range of cpm values obtained at the corresponding cytokine concentration.