Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

White adipose tissue urea cycle activity is not affected by one-month treatment with a hyperlipidic diet in female rats

Sofía Arriarán a, Silvia Agnelli a, Xavier Remesar abc, Marià Alemany abc and José Antonio Fernández-López *abc
aDepartment of Nutrition and Food Science, Faculty of Biology, University of Barcelona, Barcelona, Spain. E-mail: josfernandez@ub.edu; Fax: +34934037064; Tel: +34934021546
bInstitute of Biomedicine, University of Barcelona, Barcelona, Spain
cCIBER-OBN Research Web, Barcelona, Spain

Received 4th December 2015 , Accepted 5th February 2016

First published on 11th February 2016


Abstract

Under high-energy diets, amino acid N is difficult to dispose of, as a consequence of the availability of alternative substrates. We found, recently, that WAT contains a complete functional urea cycle, we analyzed the possible overall changes in the WAT urea cycle (and other-related amino acid metabolism gene expressions) in rats subjected to a cafeteria diet. Adult female Wistar rats were fed control or simplified cafeteria diets. Samples of WAT sites: mesenteric, periovaric, retroperitoneal and subcutaneous, were used for the estimation of all urea cycle enzyme activities and gene expressions. Other key amino acid metabolism gene expressions, and lactate dehydrogenase were also measured. Subcutaneous WAT showed a differentiated amino acid metabolism profile, since its cumulative (whole site) activity for most enzymes was higher than the activities of the other sites studied. After one month of eating an energy-rich cafeteria diet, and in spite of doubling the size of WAT, the transforming capacity of most amino acid metabolism enzymes remained practically unchanged in the tissue. This was not only due to limited changes in the overall enzyme activity, but also a consequence of a relative decrease in the expression of the corresponding genes. Overall, the results of this study support the consideration of WAT as an organ, disperse but under uniform control. The metabolic peculiarities between its different sites, and their ability to adapt to different energy availability conditions only add to the variable nature of adipose tissue. We have presented additional evidence of the significant role of WAT in amino acid metabolism.


Introduction

The most characteristic trait of white adipose tissue (WAT) is its inordinate growth when experiment animals are exposed to energy-rich, mainly hyperlipidic, diets such as the self-selected “cafeteria” diets.1,2 These diets are widely used as a model of human obesity, largely attributed to the consumption of high-energy/hyperlipidic diets,1,3 which elicit the development of inflammation.4 Inordinate WAT growth has been intensely studied, along with the development of other pathologies related to inflammation in the context of metabolic syndrome.5,6 Inflamed WAT reacts to the ‘aggression’ of excess nutrient availability by reducing its blood flow7 to diminish that availability and lower its storage of fat. In that process, WAT also releases a number of adipokines,8 which tend to help activate the defense systems and metabolic adaptations to face off the problem of disposal of excess available energy.9

The key point is the massive glucose-fueled lipogenesis, since the WAT insulin response is better maintained, under conditions of generalized insulin resistance, than in other peripheral organs and the liver.10 Thus, the adipocyte could not fully prevent the uptake of high circulating glucose other than decreasing blood flow,7 which may elicit hypoxia,11 and lower the synthesis of acyl-glycerols. We have found recently that both cultured 3T3-L1 adipocytes,12 and rat WAT in vivo,13 break up inordinate amounts of glucose to release 3C units, largely lactate.12–14 This is a consequence of the diversion of pyruvate towards lactate instead of entering the mitochondria and producing acetyl-CoA, the key building block of acyl-CoA. Reduced oxidative metabolism facilitates the process; in vivo studies in humans and rats have shown low oxygen levels in WAT without signs of hypoxia.15,16 This “normal hypoxia” is linked to low WAT oxygen consumption in vivo.16 Evidently, these data contrast with the obvious hypertrophic and hyperplasic growth of WAT when the adipocyte is exposed to abundant glucose. Curiously, in cultured adipocytes, differentiation from fibroblast and massive accumulation of fat, at high medium glucose levels, is continued by a massive breakup to lactate of this same glucose when the cells are mature and their fat stores are large.13 Therefore, lipogenesis and the potential resistance to hypoxia run in parallel, i.e. the hypertrophic WAT response to excess glucose and oxygen needs should be markedly different from a basal or cell energy-starved state, when lipogenesis is highly stimulated.

Amino acid metabolism is not generally included in overall energy metabolism analyses, in part because of its complexity, usually limited provision of energy, and its direct implication with a number of biosynthetic paths, of which protein synthesis is paramount for survival. However, all cells have a significant amino acid metabolism, despite the central role of liver and other organs of the splanchnic bed,17,18 since they play the double role of controlling the dietary supply of amino acids and are the main site for the final conversion of 2-amino N to ammonium, and finally urea.

The mechanisms of preservation of 2-amino N have evolved to powerful fail-safe mechanisms, which prevent the loss of hard-to-obtain amino acids.19,20 However, high-energy high-quality protein diets tend to create havoc in the mechanisms of regulation of amino acid metabolism: cafeteria diets decrease the excretion of urea N in spite of maintained (or increased) N intake;21 the form of excretion of excess N – which could not be stored in significant amounts—is unknown.22,23 In this context the role of WAT is, usually, not even considered, in part because of the wrongly perceived low global metabolic activity of the tissue and our superficial knowledge of amino acid metabolism in WAT.24 We have found, recently, that WAT contains a complete and functional urea cycle,25 which makes our assumptions of how 2-amino N is disposed of even more complicated, especially under conditions of obesity/inflammation, since an increase in the WAT mass could result in a parallel increase in its ability to dispose of 2-amino N. In the present study, we have analyzed in detail the possible overall changes in the WAT urea cycle (and other-related amino acid metabolism gene expressions) in female rats subjected to a cafeteria diet compared with controls. The comparisons have been done essentially by comparing the whole WAT site enzyme activity (or gene expression) of control and cafeteria diet-fed rats to better understand their possible influence on the whole body amino acid handling capability.

Materials and methods

Experimental design and animal handling

All animal handling procedures and the experimental setup were in accordance with the animal handling guidelines of the corresponding European and Catalan Authorities. The Committee on Animal Experimentation of the University of Barcelona specifically authorized the procedures used in the present study.

Nine week old female Wistar rats (Harlan Laboratory Models, Sant Feliu de Codines, Spain) were used. Six animals per group were housed in two-rat cages and had free access to water. The animals were kept in a controlled environment (lights on from 08:00 to 20:00; 21.5–22.5 °C; 50–60% humidity). Two groups were randomly selected and were fed ad libitum, for 30 days, with either normal rat chow (#2014, Harlan) or a simplified cafeteria diet:26 chow pellets, plain cookies, with liver pâté, bacon, whole milk containing 300 g per L sucrose and a mineral and vitamin supplement. We used the procedures for food intake estimation and analysis previously described.27 The estimated diet intake composition was (expressed as energy content): carbohydrate 67%, protein 20%, and lipid 13% for controls. That of rats fed the cafeteria diet (i.e. food ingested during the 30 d period studied) was: carbohydrate 47%, protein 12% and lipid 41% (energy content). This diet induced a significant increase in body fat, and it has been used for a long time in studies on metabolic syndrome.26,28

The rats were killed, under isoflurane anesthesia, at the beginning of a light cycle by aortic exsanguination, using dry-heparinized syringes; then, were rapidly dissected, taking samples of WAT sites: mesenteric (ME), periovaric (PO), retroperitoneal (RP) and subcutaneous (SC, inguinal fat pads). The samples were blotted, and frozen with liquid nitrogen. After weighing, they were ground under liquid nitrogen; sample aliquots were stored at −80 °C until processed. Later, the dissection of the rats continued, extracting the remaining WAT in ME, EP and RP sites; the rats were skinned, and the whole subcutaneous WAT was dissected. The weights of the recovered WAT were added to obtain the total mass of each WAT site.

Blood plasma parameters

The blood obtained from the aorta puncture was centrifuged to obtain plasma, which was frozen and kept at −80 °C until processed. Plasma samples were used to measure glucose (kit #11504), triacylglycerols (kit #11828), total cholesterol (kit #11505) and urea (kit # 11537), all from Biosystems, Barcelona Spain). Lactate was measured with kit #1001330 (Spinreac, Sant Esteve de Bas, Spain). Amino acids were analyzed individually with an amino acid analyzer (Pharmacia-LKB-Alpha-plus, Uppsala, Sweden) using plasma samples deproteinized with acetone.29 Since the method used did not provide fair analyses for glutamine and other amino acids (Trp, Cys, Asn), we decided to present only the partial sum of the other amino acids as a single indicative value.

Preparation of tissue homogenates

Frozen tissue samples were homogenized, using a tissue disruptor (Ultraturrax IKA-T10, Ika Werke, Staufen, Germany), in 5 volumes of chilled 70 mM hepes buffer pH 7.4 containing 1 mM dithiothreitol (Sigma-Aldrich, St Louis MO, USA), 50 mM KCl, 1 g per L Triton X-100 (Sigma) and 1 g per L lipid-free bovine serum albumin (Sigma-Aldrich). In homogenates to be used for carbamoyl-P synthase 2 estimation, the concentration of Triton X-100 was reduced to 0.5 g per L to decrease foaming. The homogenates were centrifuged for 10 min at 5000g; the floating fat layers and debris precipitates were discarded. The clean homogenates were kept on ice, and used for enzyme analyses within 2 h.

Tissue protein was estimated with the Lowry method,30 using finely powdered inert MgO to eliminate the remaining fat-generated turbidity after development of color. Homogenization buffer (which contained albumin) was used as blank. Enzyme activities were initially expressed in nkat per g protein.

Enzyme activity analyses

Carbamoyl-P synthase was estimated from the incorporation of 14C-bicarbonate (Perkin Elmer, Bad Neuheim, Germany) into carbamoyl-P using a method previously described by us.31

All other urea cycle enzyme activities (ornithine carbamoyl-transferase, arginino-succinate synthase, arginino-succinate lyase and arginase) were estimated following our recently developed methods which are presented with detail in the Methods, ESI.

A modified UV method was used for lactate dehydrogenase activity.32 The reaction mixture contained 150 μM NADH, 125 mg per L bovine serum albumin and 1 mM sodium pyruvate (Sigma-Aldrich). The proportion of original tissue in each measuring well was in the range of 2.0–2.5 mg, in a volume of 0.02 mL of homogenate, diluted to the adequate proportions with homogenization medium. Absorbance at 340 nm was measured at intervals of 30 s for up to 10 min. In each case, the decrease in absorbance, due to the formation of NAD+, was plotted, and initial (V0) activities were determined from the course of the reaction at different times.

Gene expression analysis

Total tissue RNA was extracted from frozen tissue samples using the Tripure reagent (Roche Applied Science, Indianapolis IN, USA), and was quantified in an ND-100 spectrophotometer (Nanodrop Technologies, Wilmington DE, USA). RNA samples were reverse transcribed using the MMLV reverse transcriptase (Promega, Madison, WI, USA) system and oligo-dT primers. These data were also used to determine the total RNA content of the tissue (expressed per g of tissue weight).

Real-time PCR (RT-PCR) amplification was carried out using 10 μL amplification mixtures containing Power SYBR Green PCR Master Mix (Applied Biosystems, Foster City, CA, USA), 4 ng of reverse-transcribed RNA and 150 nanomols of primers. Reactions were run on an ABI PRISM 7900 HT detection system (Applied Biosystems) using a fluorescent threshold manually set to 0.15 for all runs.

A semi-quantitative approach for the estimation of the concentration of specific gene mRNAs per unit of tissue/RNA or protein weight was used.33Rplp0 was the charge control gene.34 We expressed the data as the number of transcript copies per gram of protein in order to obtain comparable data between the groups. The genes analyzed and a list of primers used is presented in Table 1.

Table 1 Primer sequences used in the analysis of WAT gene expressions
Gene Protein EC Primer sequence 5′ > 3′ Primer sequence 3′ > 5′ bp
Cad Glutamine-dependent carbamoyl-phosphate synthase 6.3.5.5 AGTTGGAGGAGGAGGCTGAG ATTGATGGACAGGTGCTGGT 90
Otc Ornithine carbamoyl transferase 2.1.3.3 CTTGGGCGTGAATGAAAGTC ATTGGGATGGTTGCTTCCT 126
Ass1 Arginino-succinate synthase 6.3.4.5 CAAAGATGGCACTACCCACA GTTCTCCACGATGTCAATGC 100
Asl Arginino-succinate lyase 4.3.2.1 CCGACCTTGCCTACTACCTG GAGAGCCACCCCTTTCATCT 104
Arg1 Arginase-1 3.5.3.1 GCAGAGACCCAGAAGAATGG GTGAGCATCCACCCAAATG 126
Arg2 Arginase-2 3.5.3.1 GCAGCCTCTTTCCTTTCTCA CCACATCTCGTAAGCCAATG 122
Nags N-Acetyl-glutamate synthase 2.3.1.1 GCAGCCCACCAAAATCAT CAGGTTCACATTGCTCAGGA 82
Nos3 Nitric oxide synthase, endothelial 1.14.13.39 CAAGTCCTCACCGCCTTTT GACATCACCGCAGACAAACA 138
Glul Glutamine synthetase 6.3.1.2 AACCCTCACGCCAGCATA CTGCGATGTTTTCCTCTCG 148
Gls Glutaminase kidney isoform, mitochondrial 3.5.1.2 CCGAAGGTTTGCTCTGTCA AGGGCTGTTCTGGAGTCGTA 63
Glud1 Glutamate dehydrogenase 1, mitochondrial 1.4.1.3 GGACAGAATATCGGGTGCAT TCAGGTCCAATCCCAGGTTA 122
Gcsh Glycine cleavage system H protein, mitochondrial AAGCACGAATGGGTAACAGC TCCAAAGCACCAAACTCCTC 146
Ampd2 AMP deaminase 2 3.5.4.6 CGGCTTCTCTCACAAGGTG CGGATGTCGTTACCCTCAG 78
Gpt Alanine aminotransferase 1 2.6.1.2 GTATTCCACGCAGCAGGAG CACATAGCCACCACGAAACC 85
Gpt2 Alanine aminotransferase 2 2.6.1.2 CATTCCCTCGGATTCTCATC GCCTTCTCGCTGTCCAAA 146
Bcat1 Branched-chain-amino-acid aminotransferase, cytosolic 2.6.1.42 TGCCCAGTTGCCAGTATTC CAGTGTCCATTCGCTCTTGA 138
Bcat2 Branched-chain-amino-acid aminotransferase, mitochondrial 2.6.1.42 AGTCTTCGGCTCAGGCACT ATGGTAGGAATGTGGAGTTGCT 84
Ldha Lactic acid dehydrogenase muscle type (a) 1.1.1.27 CACTGGGTTTGAGACGATGA GTCAGCAAGAGGGAGAGAGC 125
Ldhb Lactic acid dehydrogenase heart type (b) 1.1.1.27 CCAGGAACTGAACCCAGAGA TCATAGGCACTGTCCACCAC 131
Rplp0 60S acidic ribosomal protein 0 (housekeeping gene) GAGCCAGCGAAGCCACACT GATCAGCCCGAAGGAGAAGG 62


Statistics

One- and two-way ANOVA comparisons between groups and curve fitting (e.g. for Vi estimations) were analyzed with the Prism 5 program (GraphPad Software, San Diego, CA, USA).

Results

Fig. 1 shows that the rat weight changes within 30 days of feeding the cafeteria or control diets. Rats fed cafeteria diet gained more body weight and ended up weighing more than control animals. Table 2 shows the weights of the four WAT sites studied, as well as the levels of protein and RNA per g of adipose tissue. Both the differences for site and diet were statistically significant. Combined WAT weight of control rats for the four WAT sites was 8.1% of the body weight, compared with 15.2% for cafeteria rats. The difference in the body weight minus the sum of WAT sites was minimal for both the dietary groups (213 g controls, 226 g cafeteria), suggesting that WAT was, precisely, the main factor justifying the differences observed in the body weight. The differences induced by diet and those on WAT sites were also statistically significant for the protein content and total RNA. However, both protein and RNA tended to decrease in cafeteria rats when expressed per g of tissue. The RNA/protein ratio decreased considerably in all WAT sites fed the cafeteria diet; the mesenteric ratio showing the highest, and subcutaneous WAT the lowest values.
image file: c5fo01503k-f1.tif
Fig. 1 Comparison of the body weight of female rats fed control or cafeteria diets. The data are the mean ± SEM of 6 different animals. Statistical significance of the differences between groups (two-way ANOVA). T represents the P value for “time” and D that for “diet”.
Table 2 WAT weight, protein and RNA content of female Wistar rats fed for 30 d with a cafeteria diet
Parameter Site Unit Control Cafeteria P diet P site
The data are the mean ± SEM of 6 different animals per group. Statistical significance of the differences between groups (two-way ANOVA: diet and WAT site). BW = body weight. SC = subcutaneous WAT; ME = mesenteric WAT; PO = periovaric WAT; RE = retroperitoneal WAT. The sum of these four sites is indicated as ∑WAT.
WAT weight SC g 7.02 ± 0.25 12.3 ± 0.3 <0.0001 <0.0001
ME 3.92 ± 0.33 9.02 ± 1.25
PO 4.83 ± 0.39 11.8 ± 1.7
RE 2.79 ± 0.35 7.81 ± 0.77
∑WAT g 18.6 ± 0.93 41.0 ± 3.5 0.0001
% BW 8.05 ± 0.52 15.2 ± 0.5 <0.0001
Protein SC mg g−1 51.8 ± 3.3 41.2 ± 4.3 0.0010 <0.0001
ME 84.2 ± 2.6 77.4 ± 5.8
PO 54.4 ± 2.4 47.6 ± 2.6
RE 62.9 ± 4.7 50.7 ± 1.3
RNA SC μg g−1 219 ± 19 154 ± 15 <0.0001 <0.0001
ME 793 ± 88 92.0 ± 5.5
PO 119 ± 10 57.6 ± 4.1
RE 78.4 ± 8.8 38.4 ± 6.2
RNA/protein ratio SC mg g−1 4.25 ± 0.13 4.77 ± 0.86 <0.0001 <0.0001
ME 9.49 ± 1.13 1.87 ± 0.68
PO 2.19 ± 0.16 1.24 ± 0.14
RE 1.26 ± 0.12 0.75 ± 0.11


Plasma parameters were all within the expected range and were similar to previously published data.26,35 They are presented in ESI Table 1.

Fig. 2 depicts the data in Table 1 but tissue protein and RNA are presented as the total amount present in the whole site for the direct comparison of the eventual changes induced by the diet. There were overall significant differences of cafeteria vs. controls for protein, although they were not observed in subcutaneous WAT, nor between sites. When analyzing RNA, the differences were less patent; cafeteria diet-feeding resulted in a marked overall difference between sites, but not diet. In fact, the only site showing a marked difference between the diet groups was mesenteric, in which the total RNA content of the tissue was reduced to roughly one third with cafeteria diet.


image file: c5fo01503k-f2.tif
Fig. 2 Comparison of the protein and RNA content of the four main WAT sites of female rats fed control or cafeteria diets. The data are the mean ± SEM of 6 different animals. Lilac columns: control diet; soft red columns: cafeteria diet. WAT sites: SC = subcutaneous, ME = mesenteric, PO = periovaric; RP = retroperitoneal. Statistical significance of the differences between groups (two-way ANOVA). S represents the P value for “site” and D that for “diet”. Only significant results have been shown. Individual site differences (diet) are marked with an asterisk * (P < 0.05, post-hoc Tuckey's test).

Fig. 3 shows the urea cycle enzyme activities present in the whole site (nkat or μkat), and the expressions of the corresponding genes (i.e. in nmol or μmol of the specific gene mRNA), also expressed with respect to the whole site. The arginase value for activity corresponds to the sum of arginases 1 and 2; the latter being expressed only in subcutaneous WAT. The corresponding value for gene expression reflects also the sum of Arg1 and Arg2. There was clear discordance between the total enzyme activities and the mRNA content for their coding genes in different sites. In all the cases (activities and expressions), there was a significant difference between the WAT sites. However, the overall effects of diet were minimal, significant only for ornithine carbamoyl-transferase activity and the expressions of arginase and carbamoyl-P synthase. In general, subcutaneous WAT showed higher activities for carbamoyl-P synthase 2, arginino-succinate lyase and arginase activities (and expressions). Cafeteria diet induced a marked increase in ornithine carbamoyl-transferase activity and decrease in arginino-succinate synthase activity in mesenteric WAT. This diet increased ornithine carbamoyl-transferase, arginino-succinate lyase and the expressions of both arginases in subcutaneous WAT; cafeteria feeding decreased the expression of carbamoyl-P synthase in mesenteric WAT and arginino-succinate synthase in periovaric WAT. In spite of punctual variations, and the marked differences between sites, the general trend was to maintain the same amount of active enzyme and specific gene mRNA in the WAT sites, with only limited changes, despite their different mass and dietary treatment.


image file: c5fo01503k-f3.tif
Fig. 3 Total activity and gene expression of urea cycle enzymes present in the mass of WAT tissue sites of female rats fed control or cafeteria diets. The data are the mean ± SEM of 6 different animals. Left, enzyme activities: blue dashed columns: control diet; red dashed columns: cafeteria diet. Right, gene expressions: blue columns: control diet; red columns: cafeteria diet. WAT sites: SC = subcutaneous, ME = mesenteric, PO = periovaric; RP = retroperitoneal. The expression data for arginase are the sum of Arg1 and Arg2 for subcutaneous WAT, and of Arg1 for all other sites. Statistical significance of the differences between groups (two-way ANOVA). S represents the P value for “site” and D that for “diet”. Only significant results have been shown. Individual site differences (diet) are marked with an asterisk * (P < 0.05, post-hoc Tuckey's test).

Fig. 4 shows the expressions of gene coding for proteins related to ammonia/2-amino N metabolism in four sites of WAT in control or cafeteria diet-fed female rats. All genes showed significant differences in expression between sites, but the overall effects of diet were limited to Glul, glutamine synthetase; Glud1, NADP+ glutamate dehydrogenase; Gls, glutaminase; Gcsh, h protein of the glycine cleavage system; and Bcat2, branched-chain amino acid aminotransferase (mitochondrial). In addition to these generalized modifications, specific sites showed significant changes with cafeteria diet feeding, i.e. increases in subcutaneous WAT for all genes except Ala1 and Ala2. On the other side, mesenteric WAT also showed significant decreases for Amp2, and Bcat1; Glul was increased in periovaric WAT.


image file: c5fo01503k-f4.tif
Fig. 4 Total expression (i.e. specific mRNA content) of amino acid metabolism enzyme genes present in the mass of WAT tissue sites of female rats fed control or cafeteria diets. The data are the mean ± SEM of 6 different animals. Blue columns: control diet; red columns: cafeteria diet. WAT sites: SC = subcutaneous, ME = mesenteric, PO = periovaric; RP = retroperitoneal. Statistical significance of the differences between groups (two-way ANOVA). S represents the P value for “site” and D that for “diet”. Only significant results have been shown. Individual site differences (diet) are marked with an asterisk * (P < 0.05, post-hoc Tuckey's test).

By comparison, Fig. 5 depicts the WAT site lactate dehydrogenase activity (μkat in the whole tissue mass) and the corresponding values for gene coding for both the lactate dehydrogenases, a and b (Ldha, Ldhb). In addition to a significant difference for site, both lactate dehydrogenase activity and Ldha changed significantly with diet. Periovaric WAT activity was higher in cafeteria diet-fed rats, whereas the expression of Ldha and Ldhb were lower in subcutaneous WAT under the hyperlipidic diet.


image file: c5fo01503k-f5.tif
Fig. 5 Total activity and expression of lactate dehydrogenase genes present in the mass of WAT tissue sites of female rats fed control or cafeteria diets. The data are the mean ± SEM of 6 different animals. Activity: blue dashed columns: control diet; red dashed columns: cafeteria diet. Expressions: blue columns: control diet; red columns: cafeteria diet. WAT sites: SC = subcutaneous, ME = mesenteric, PO = periovaric; RP = retroperitoneal. Statistical significance of the differences between groups (two-way ANOVA). S represents the P value for “site” and D that for “diet”. Only significant results have been shown. Individual site differences (diet) are marked with an asterisk * (P < 0.05, post-hoc Tuckey's test).

The data of Fig. 3–5 are also presented in the more usual form of activity/expression per unit of protein weight in the ESI, Tables 2–5.

Discussion

Cafeteria diet is a widely used and robust model of metabolic syndrome in rodents,36–38 characterized by voluntary hyperphagia and grossly elevated fat intake which results in rapid weight gain. In addition, cafeteria diet feeding induces glucose intolerance and inflammation in rodents.38 It has been found that relatively short periods of exposure to a cafeteria diet are enough to disturb the metabolic response to food availability in key tissues, and hence alter energy homeostasis, particularly in WAT. These changes often induce exacerbated body fat accumulation and increased metabolic risk, often with no apparent or minimal effects on body weight.39 Thus, this model provides a unique animal platform to study the biochemical mechanisms that characterize obesity and the metabolic syndrome. The main result derived from the present study has been rather surprising, since, in spite of doubling the size of WAT because of one month of eating an energy-rich cafeteria diet, the actual transforming capacity of most amino acid metabolism enzymes in WAT remained practically unchanged with respect to the whole adipose tissue. This was a consequence of only limited changes in the overall enzyme activity, but also because of a generalized decrease in the expression of the corresponding genes when related to tissue weight. The considerable increase in the size of WAT was mainly due to the accumulation of fat, but protein followed suit. The most marked differences were in the RNA content, which actually decreased in most sites, largely compensating the disproportion in size.

The remarkable stability of urea cycle enzyme activities observed here contrasts with the decreases observed in the liver.21 However, one can wonder whether the actual importance of the changes in liver functions would be appreciated as so deep if the activity/expression were corrected by the actual size (and, better, including blood flow)13 of the organ. The enormous change that WAT experiences when challenged with an excess of nutrients, however, is not comparable to any other “regular” organ. We speculated whether part of the problems derived from an enlarged (in fact engorged) WAT would be a consequence of the disproportion of its mass with respect to all other tissues; however, what we found experimentally was a clear downregulation of enzyme activities that practically compensated the increase in tissue mass.

Lowered blood flow40 may be – also – part of the homoeostatic adjustment to increased WAT mass, since lower relative blood flow is consistent with decreased metabolic activity (according to the low total RNA data). In addition, excess “inert” triacylglycerol stores reduce considerably the active tissue mass. In any case, the maintenance of most enzyme activities/gene expressions seems to be a consequence of a generalized homoeostatic adjustment preventing the eventual loss of balance between organ (size) and function. We are aware that the form of expression we used here must be complemented with other, more common, forms of data representation (presented in the ESI Tables 2–5). The results obtained made us suggest that the analysis we carried out on key aspects of amino acid metabolism should be applied to the most critical aspects of glucose handling and lipogenesis too, to check whether the increased WAT size is countered by a generalized diminution of its metabolic activity. Our own data suggest that diet has only a limited (if any) effect on lactate metabolism in vivo.13 The results presented here corroborate the conclusions obtained from tissue lactate levels and enzyme activities.13 Lactate dehydrogenase (and lactate metabolism) is diminished in adipocytes of obese animals,13,41 but the overall handling capacity is maintained as we have shown here.

The results presented highlight a differential role for subcutaneous WAT, at least for amino acid metabolism, since its cumulative activity for most enzymes was higher than the combined activities of the other three sites studied. The widely known metabolic difference between subcutaneous and “visceral” WAT,42,43 in this case represented by the mesenteric site, was in part confirmed by a loss of amino acid metabolizing activity in this site in rats fed a cafeteria diet; this effect was largely compensated by an increase in subcutaneous WAT activity. This shift of function from the splanchnic bed to peripheral tissues agrees with the loss of energy substrate control of the liver in obesity.44,45 It is also in agreement with the predominant role of peripheral tissues as suppliers of substrates under starvation: muscle exports 3C units,46 and WAT fatty acids47 (and 3C units too14) after the liver exhausted its glycogen reserves and when the intestine cannot supply dietary-derived nutrients.48 It has been postulated that a high availability of circulating fatty acids spurns insulin resistance as a way to save glucose, and this effort is counterproductive when the fatty acids come from the diet (i.e. together with glucose) and not from peripheral lipolysis.49 Under these overfeeding conditions, thus, the problem of disposing of excess glucose becomes a priority. Moreover, since 2-amino N preservation is critical for survival (an evolutionary fiat),19 consequently, amino acids become even more difficult to dispose of through the well-controlled splanchnic catabolic pathways.50

The lowered amino acid disposal capacity observed in cafeteria-diet fed rats21,37 stems from a lowered or unfocussed function of the liver (in fact liver-intestine as a unit), and is reflected in lower levels and excretion of urea.21,37 We wanted to check whether the newly found WAT urea cycle could somehow compensate the disorder caused in the liver by metabolic syndrome, perhaps through the activation of peripheral amino acid catabolism. The surprising lack of change in the peripheral urea cycle suggests a maintenance of its function in spite of lowered activity/gene expression per g of tissue. Since the combined activity of WAT in both dietary groups was higher for a number of enzyme activities than in the liver,51 we must assume that, at least in part, the production of urea may be taken up by WAT in the obese. The peculiar increase in enzyme activities observed in subcutaneous WAT suggests that this site (the most “peripheral” of those studied here) may play a role more important than usually assumed in amino acid handling. High Nags expression may indicate an activation of the synthesis of ornithine,52 in agreement with the role of WAT as a postulated peripheral producer of citrulline.53 This increase may help compensate the alteration of citrulline synthesis by the intestine54 in obesity.

Glul increased expression in subcutaneous WAT of rats fed a cafeteria diet, suggests that part of the ammonium probably produced by the increased expression of Amp2 and the glycine cleavage system, but also Gls (to a lower extent), is not driven towards the urea cycle, but maintained as glutamine or glutamate (increased expression of Glud1). However, there is a clear role of subcutaneous WAT in the catabolism of 2-amino N as clearly shown by the considerable increases in the expression of Bcat1 and Bcat2, marking this site as a probably significant place for the catabolism of branched-chain amino acids, as previously suggested.55 This contrasts with the lack of changes in Gpt and Gpt2, in spite of the known release of alanine by adipocytes.56

We can summarize our findings by stating that increased WAT mass produced by cafeteria diet feeding does not translate into higher overall WAT metabolic activity, but to its maintenance: the enzyme activities and RNA are diluted in a reversed proportion to the increase in mass of the tissue. This is logical from a homoeostatic point of view, since, under this assumption, the only significant difference in the WAT function from lean to obese would be the storage of fat. This question needs further metabolic analyses to check whether lipid metabolism follows the same trend, and, further, to determine the differences between the initial phases of WAT engorgement and a relative steady state as that observed here.

The other key point is the remarkable constancy of the WAT urea cycle under high energy availability, under the pressure of excess 2-amino N availability and the need to dispose of it against the powerful mechanisms of preservation of amino acids. The only clear trend observed was the shift in amino acid metabolism from abdominal WAT, mainly mesenteric, to an acquired metabolic predominance of subcutaneous WAT, in line with the displacement of metabolic activity from the splanchnic bed to peripheral tissues typical of starvation and, contrastingly, of the excess of nutrient availability.

Overall, the results of this study give support to the consideration of WAT as an organ,57 disperse58 but under uniform control.35 The metabolic peculiarities between its different sites,59–61 and their ability to adapt to different energy availability conditions only add to the protean nature of the adipose tissue. Last, but not least, we have presented additional evidence on the role of WAT in amino acid metabolism, a question difficult to discuss because of the absence of sufficient studies with which we can compare and check our results.

Authors’ contributions

X. R, M. A and J. A. F. L designed the study; S. Ar and S. Ag carried out the experiments; S. Ar and J. A. F. L calculated the data and carried out statistical analyses; J. A. F. L wrote the first manuscript draft. All authors discussed the text and contributed to the final version.

Conflict of interests

The authors declare that they have no conflict of interest.

Acknowledgements

This study was done with the partial support of grants of the Plan Nacional de Investigación en Biomedicina (SAF2012-34895) and the Plan Nacional de Ciencia y Tecnología de los Alimentos (AGL-2011-23635) of the Government of Spain, as well as of CIBER-OBN web of biomedical research. S. Agnelli was the recipient of a Leonardo da Vinci fellowship, and S. Arriarán a predoctoral fellowship of the Catalan Government, in both cases covering part of the time invested in this study.

References

  1. A. Sclafani and D. Springer, Physiol. Behav., 1976, 17, 461 CrossRef CAS PubMed.
  2. I. Rafecas, M. Esteve, J. A. Fernández-López, X. Remesar and M. Alemany, Nutr. Res., 1994, 14, 1077 CrossRef.
  3. B. P. Sampey, A. M. Vanhoose, H. M. Winfield, A. J. Freemerman, M. J. Muehlbauer, P. T. Fueger, C. B. Newgard and L. Makowski, Obesity, 2011, 19, 1109 CrossRef CAS PubMed.
  4. M. B. Zimmermann and I. Aeberli, Int. J. Obes., 2008, 32(Suppl. 6), S11 CrossRef CAS PubMed.
  5. R. Monteiro and I. Azevedo, Mediators Inflammation, 2010, 2010, 289645 Search PubMed.
  6. M. Motie, L. S. Evangelista, T. Horwich, D. Lombardo, F. Zaldivar, M. Hamilton and G. C. Fonarow, Exp. Ther. Med., 2014, 8, 181 CAS.
  7. D. B. West, A. A. Francendese, M. R. C. Greenwood and W. A. Prinz, Am. J. Physiol., 1987, 253, R228 CAS.
  8. H. M. Cao, J. Endocrinol., 2014, 220, T47 CrossRef CAS PubMed.
  9. M. Alemany, J. Clin. Endocrinol. Metab., 2011, 96, 66 CrossRef CAS PubMed.
  10. K. N. Frayn, Proc. Nutr. Soc., 2011, 60, 375 CrossRef.
  11. P. Trayhurn, B. Wang and I. S. Wood, Br. J. Nutr., 2008, 100, 227 CrossRef CAS PubMed.
  12. D. Sabater, S. Arriarán, M. M. Romero, S. Agnelli, X. Remesar, J. A. Fernández-López and M. Alemany, Sci. Rep., 2014, 4, 3663 Search PubMed.
  13. S. Arriarán, S. Agnelli, D. Sabater, X. Remesar, J. A. Fernández-López and M. Alemany, PLoS One, 2015, 10, e0119572 Search PubMed.
  14. M. T. van der Merwe, N. J. Crowther, G. P. Schlaphoff, I. H. Boyd, I. P. Gray, B. I. Joffe and P. N. Lönnroth, J. Clin. Endocrinol. Metab., 1998, 83, 4084 CAS.
  15. G. H. Goossens and E. E. Blaak, Curr. Opin. Clin. Nutr. Metab. Care, 2012, 15, 539 CrossRef CAS PubMed.
  16. L. Hodson, S. M. Humphreys, F. Karpe and K. N. Frayn, Diabetes, 2013, 62, 1417 CrossRef CAS PubMed.
  17. I. de Blaauw, N. E. P. Deutz and M. F. von Meyenfeldt, Am. J. Physiol., 1996, 270, G298 CAS.
  18. T. Aikawa, H. Matsutaka, H. Yamamoto, T. Okuda and E. Ishikawa, J. Biochem., 1973, 74, 1003 CAS.
  19. P. Felig, O. E. Owen, J. Wahren and G. F. Cahill, J. Clin. Invest., 1969, 48, 584 CrossRef CAS PubMed.
  20. P. Tessari, R. Barazzoni, M. Zanetti, E. Kiwanuka and A. Tiengo, Baillière's Clin. Endocrinol. Metab., 1996, 10, 511 CrossRef CAS.
  21. T. Barber, J. R. Viña, J. Viña and J. Cabo, Biochem. J., 1985, 230, 675 CrossRef CAS PubMed.
  22. M. Esteve, I. Rafecas, X. Remesar and M. Alemany, Int. J. Obes., 1991, 16, 237 Search PubMed.
  23. M. Esteve, I. Rafecas, J. A. Fernández-López, X. Remesar and M. Alemany, Biochem. Mol. Biol. Int., 1993, 29, 1069 CAS.
  24. F. J. López-Soriano and M. Alemany, Arch. Int. Physiol. Biochim., 1986, 94, 121 Search PubMed.
  25. S. Arriarán, S. Agnelli, X. Remesar, J. A. Fernández-López and M. Alemany, RSC Adv., 2015, 5, 93403 RSC.
  26. R. Ferrer-Lorente, C. Cabot, J. A. Fernández-López and M. Alemany, Life Sci., 2005, 77, 2051 CrossRef CAS PubMed.
  27. E. Prats, M. Monfar, R. Iglesias, J. Castellà and M. Alemany, Physiol. Behav., 1989, 45, 263 CrossRef CAS PubMed.
  28. I. Rafecas, M. Esteve, J. A. Fernández-López, X. Remesar and M. Alemany, Int. J. Obes., 1992, 16, 775 CAS.
  29. L. Arola, E. Herrera and M. Alemany, Anal. Biochem., 1977, 82, 236 CrossRef CAS PubMed.
  30. O. H. Lowry, R. W. Rosebrough, A. L. Farr and R. J. Randall, J. Biol. Chem., 1951, 193, 265 CAS.
  31. S. Arriarán, S. Agnelli, J. A. Fernández-López, X. Remesar and M. Alemany, J. Enzyme Res., 2012, 3, 29 Search PubMed.
  32. A. Vassault A, Methods Enzym. Anal., 1983, 3, 118 Search PubMed.
  33. M. M. Romero, M. M. Grasa, M. Esteve, J. A. Fernández-López and M. Alemany, Nutr. Metab., 2007, 4, 26 Search PubMed.
  34. G. Bamias, D. Goukos, E. Laouidi, I. G. Balla, S. I. Siakavellas, G. L. Daikos and S. D. Ladas, Inflammatory Bowel Dis., 2013, 19, 2840 CrossRef PubMed.
  35. M. M. Romero, S. Roy, K. Pouillot, M. Feito, M. Esteve, M. M. Grasa, J. A. Fernández-López, M. Alemany and X. Remesar, PLoS One, 2014 DOI:10.1371/journal.pone.0090995.
  36. M. Esteve, I. Rafecas, J. A. Fernández-López, X. Remesar and M. Alemany, Physiol. Behav., 1994, 56, 65 CrossRef CAS PubMed.
  37. D. Sabater, S. Agnelli, S. Arriarán, J. A. Fernández-López, M. M. Romero, M. Alemany and X. Remesar, BioMed Res. Int., 2014, 2014, 959420 Search PubMed.
  38. B. P. Sampey, A. M. Vanhoose, H. M. Winfield, A. J. Freemerman, M. J. Muehlbauer, P. T. Fueger, C. B. Newgard and L. Makowski, Obesity, 2011, 19, 1109 CrossRef CAS PubMed.
  39. H. Castro, C. A. Pomar, C. Picó, J. Sánchez and A. Palou, Int. J. Obes., 2015, 39, 430 CrossRef CAS PubMed.
  40. K. N. Frayn and F. Karpe, Int. J. Obes., 2014, 38, 1019 CrossRef CAS PubMed.
  41. F. Rotondo, M. M. Romero, J. A. Fernández-López, X. Remesar and M. Alemany, Obes. Facts, 2015, 8(Suppl. 1), 170 Search PubMed.
  42. F. Bertile, F. Criscuolo, H. Oudart, Y. le Maho and T. Raclot, Biochem. Biophys. Res. Commun., 2003, 307, 540 CrossRef CAS PubMed.
  43. B. Zahorska-Markiewicz, Adv. Med. Sci., 2006, 51, 111 CAS.
  44. T. Wasada, T. Kasahara, J. Wada, S. Jimba, R. Fujimaki, T. Nakagami and Y. Iwamoto, Metab. Clin. Exp., 2008, 57, 980 CrossRef CAS PubMed.
  45. C. E. Ndumele, K. Nasir, R. D. Conceiçao, J. A. M. Carvalho, R. S. Blumenthal and R. D. Santos, Arterioscler., Thromb., Vasc. Biol., 2011, 31, 1927 CrossRef CAS PubMed.
  46. C. F. Cori, Curr. Top. Cell. Regul., 1981, 18, 377 CAS.
  47. P. J. Randle, P. B. Garland, C. N. Hales and E. A. Newsholme, Lancet, 1963, 281, 785 CrossRef.
  48. M. Alemany, RSC Adv., 2013, 3, 1636 RSC.
  49. G. F. Cahill, Annu. Rev. Nutr., 2006, 26, 1 CrossRef CAS PubMed.
  50. M. Alemany, Nutr. Res. Rev., 2012, 25, 18 CrossRef CAS PubMed.
  51. S. Agnelli, S. Arriarán, L. Oliva, X. Remesar, J. A. Fernández-López and M. Alemany, RSC Adv., 2016, 6, 11278 RSC.
  52. K. Tujioka, S. Lyou, E. Hirano, A. Sano, K. Hayase, A. Yoshida and H. Yokogoshi, J. Agric. Food Chem., 2002, 50, 7467 CrossRef CAS PubMed.
  53. S. Arriarán, S. Agnelli, X. Remesar, J. A. Fernández-López and M. Alemany, RSC Adv., 2015, 5, 93403 RSC.
  54. J. G. Henslee and M. E. Jones, Arch. Biochem. Biophys., 1982, 219, 186 CrossRef CAS PubMed.
  55. M. A. Herman, P. X. She, O. D. Peroni, C. J. Lynch and B. B. Kahn, J. Biol. Chem., 2010, 285, 11348 CrossRef CAS PubMed.
  56. K. Snell and D. A. Duff, Biochem. Biophys. Res. Commun., 1977, 77, 925 CrossRef CAS PubMed.
  57. S. Cinti, Prostaglandins, Leukotrienes Essent. Fatty Acids, 2005, 73, 9 CrossRef CAS PubMed.
  58. A. Giordano, A. Smorlesi, A. Frontini, G. Barbatelli and S. Cinti, Eur. J. Endocrinol., 2014, 170, R159 CrossRef CAS PubMed.
  59. A. Boivin, G. Brochu, S. Marceau, F. S. Hould and A. Tchernof, Metab. Clin. Exp., 2007, 56, 533 CrossRef CAS PubMed.
  60. A. Tchernof, C. Bélanger, A. S. Morisset, C. Richard, J. Mailloux, P. Laberge and P. Dupont, Diabetes, 2006, 55, 1353 CrossRef CAS PubMed.
  61. J. Östman, P. Arner, P. Engfeldt and L. Kager, Metabolism, 1979, 28, 1198 CrossRef.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c5fo01503k

This journal is © The Royal Society of Chemistry 2016
Click here to see how this site uses Cookies. View our privacy policy here.