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(Journal of Nutrition. 1999;129:1340-1346.)
© 1999 The American Society for Nutritional Sciences


Articles

Food Deprivation and Refeeding Influence Growth, Nutrient Retention and Functional Recovery of Rats

Julio J. Boza1, Denis Moënnoz, Jacques Vuichoud, Andrée R. Jarret, Danièle Gaudard-de-Weck, Rodolphe Fritsché, Anne Donnet, Eduardo J. Schiffrin, Geneviève Perruisseau and Olivier Ballèvre

Nestlé Research Center, Vers-chez-les-blanc, 1000 Lausanne, Switzerland

1To whom correspondence should be addressed.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The objective of this work was to determine the effects of starvation and refeeding on growth, nutritional recovery and intestinal repair in starved rats. Male Wistar rats, weighing 200 g, were starved for 3 d, then refed a soy-based diet for another 3 d. Normally fed rats were given the same diet and used as controls. The variables assessed were as follows: body weight gain and nitrogen retention during recovery after starvation; muscle glutamine concentration; tissue protein content; gut mucosa and liver glutathione levels; intestinal permeability to ovalbumin, lactulose and mannitol; and intestinal tissue apoptosis. Starvation was associated with lower muscle glutamine levels and intestinal mucosa impairment, including a lower content of mucosal protein, a higher level of oxidized glutathione, enhanced permeability to macromolecules and greater numbers of apoptotic cells. Refeeding for 3 d resulted in rapid repair of gut atrophy and normalization of not only intestinal permeability but also of the majority of metabolic markers assessed in other tissues. In conclusion, with the use of severely starved rats, we have established a reversible experimental animal model of malnutrition that might prove useful in comparing the effectiveness of different enteral diets.


KEY WORDS: • starvation • refeeding • rats • intestinal permeability • glutamine stores


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Malnutritioninduced by dietary restriction and severe starvation produces a series of metabolic changes that lead to reduction in body weight, depression of immunocompetence and altered function of the digestive system, particularly of the liver and small intestine. These changes have a profound effect on variables such as brush border enzymatic activity, mucosal mass, protein and DNA contents and mucosal integrity (Firmansyah et al. 1989Citation , Nùñez et al.1996Citation , Ortega et al. 1996Citation ). Moreover, increased intestinal permeability to macromolecules facilitates the movement of antigens into the bloodstream, thus increasing the risk of provoking local or systemic immune sensitization (Boza et al. 1995 and 1996Citation Citation , Uhnoo et al. 1990Citation ). Similarly, this increased permeability alters the plasma amino acid profile (Roosouw and Pettifor, 1990Citation ). Depletion of systemic glutathione levels has been reported in a number of stress conditions, including short-term food deprivation and chronic dietary protein deficiency (Grimble et al. 1992Citation , Hum et al. 1991Citation ). The fall in glutathione levels under these conditions implies that a persistent oxidative load leads to the net consumption of reduced glutathione in excess of the body's ability to resynthesize the molecule (Jahoor et al. 1995Citation ).

Refeeding rapidly restores the morphology and function of the intestine (repair of gut atrophy and normalization of intestinal permeability) in rats. The extent of the changes depends on the amount of food consumed and, in particular, on the amount and quality (amino acid profile and molecular form) of the dietary nitrogen (Poullain et al. 1989Citation and 1991Citation ).

The objective of this work was to determine the effects of severe starvation and refeeding on growth, nutritional recovery and intestinal repair. The variables assessed were as follows: nutritional and growth variables (body weight gain and nitrogen balance during recovery); metabolic variables (muscle glutamine concentration, tissue protein content, glutathione levels); and intestinal barrier integrity (intestinal permeability tests and measurement of the apoptotic index in the epithelium and lamina propria).

The final goal of the study was to establish the severely starved rat as an experimental animal model for comparing the nutritional and functional performances of enteral diets in a model closer to clinical situations.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Diets.

The semipurified diet (Soy + Met) was composed and designated as follows (g/kg): soy protein isolate, 220; sucrose, 120; glucose, 50; cellulose, 50; corn oil, 100; mineral mix AIN 76, 35 (AIN 1977Citation ); vitamin mix AIN76, 10 (AIN 1977Citation ); L-methionine, 3.5; choline bitartrate, 2; inositol, 0.25; cornstarch, 409.25. The protein content of the formula was 19.02% and the energy density, 18.8 kJ/g. The amino acid composition of the diet is given in Table 1Citation .


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Table 1. Amino acid composition of the diet (Soy + Met)

 
Animals and experimental design.

All experiments were approved by the Ethical Committee of Nestlé Research Center and by the Service Vétérinaire Cantonal (Lausanne, Switzerland).

Male Wistar rats (n = 24), weighing 200 g, were obtained from Iffa–Credo (Lyon, France). Rats were housed in Macrolon cages at 23°C with a 12-h light period (0700–1900 h). They had free access to the Soy + Met diet for 3 d. On d 4, a fixed amount of the Soy + Met diet was offered at 1600 h every day for the following 3 d (269 kJ/d). On d 7, rats were put into metabolic cages and divided into groups with equalized mean body weights. Eight rats continued to receive the Soy + Met diet for the rest of the study (Control), whereas the rest were food-deprived for 72 h with free access to water only. On d 10, 8 rats were killed (Starved). The rest of the rats were transferred to new metabolic cages and refed the Soy + Met diet for 3 d (Refed). A fixed amount of diet was offered (269 kJ/d). Previous experiments had confirmed that the rats would consume all of the feed offered. Body weights were recorded daily at 1600 h. During this period (d 10–13), feces and urine from all rats were collected to determine N balance. On d 13, lactulose and mannitol were used as markers of intestinal permeability as follows: 1 mL of a solution containing 100 mg lactulose and 50 mg of mannitol in water was given to the rats by gavage; urine was collected for the next 5 h in a tube that contained chlorhexidine as preservative. Urine was stored at –20°C until lactulose and mannitol analysis. During the test, rats had access only to water. On d 14, rats were fed 1 mL of ovalbumin solution (500 g/L) by gastric gavage. Rats were anesthetized with the use of isoflurane 90 min later and total blood from dorsal aorta collected into heparinized tubes. The blood was immediately centrifuged for 6 min at 2000 x g, 4°C and stored at –20°C until required for the determination of the plasma ovalbumin concentration. The liver, muscle tibialis and the small intestine were collected. Jejunum samples, frozen in liquid nitrogen, were prepared for histologic and immunologic examination. Another sample of jejunum was scraped with a glass slide under ice. A part of the mucosa obtained (100 mg) and a liver sample (100 mg) were immediately homogenized in 2 mL of cold perchloric acid (50 g/L) solution and centrifuged at 13000 x g for 20 min at 4°C. Supernatants were frozen in liquid nitrogen and stored at -80°C until required for glutathione determination.

Nitrogen utilization test.

The indices used to estimate the nutritional quality of the protein source were determined during the refeeding period after starvation as follows (Boza et al. 1994Citation ): body weight gain (g/3 d); apparent digestibility, i.e., absorbed N/ingested N; apparent biological value, i.e., retained N/absorbed N; apparent net protein utilization, i.e., retained N/ingested N; protein efficiency ratio, i.e., body weight gain (g)/intake of protein (g). Body weight gain was calculated from weight at the end of the starvation period and after 72 h of refeeding (for control animals, body weights were recorded at the same time points). Rats were weighed daily at 1600 h, just before the food was offered.

Muscle glutamine.

A 100-mg muscle sample was mixed with 2 mL of an ice-cold solution of trichloroacetic acid (100 g/L) and homogenized with the use of a Polytron at 10,000 rpm for 1 min, after which samples were centrifuged at 13,000 x g for 10 min at 4°C. After addition of D-glucosaminic acid as internal standard, samples were stored at –80°C until analysis. The analyses were performed in a Beckman 6300 amino acid analyzer (Fullerton, CA). To avoid glutamine degradation, samples were kept at 10°C before analysis. Glutamine concentrations (µmol/g muscle) were calculated from individual peak area, the external standard and the internal standard area (Jeevanandam et al. 1995Citation ).

Tissue protein.

A 100-mg tissue sample (liver, muscle or gut mucosa) was suspended in 2 mL water and homogenized under ice at 15,000 rpm for 30 s with the use of a Polytron. An aliquot of the homogenate was assayed for protein content by using the bicinchoninic acid method from Pierce (Rockford, IL) (Smith et al. 1985Citation ).

Glutathione determination in liver and gut mucosa.

Reduced glutathione (GSH) and oxidized glutathione (GSSG) concentrations were determined by HPLC (Waters, Milford, MA), using fluorometric detection, according to the method of Martin and White (1991)Citation . GSH and GSSG concentrations were calculated from individual peak area, external standard and internal standard area, and expressed in nmol/mg protein.

Intestinal permeability to ovalbumin.

Circulating ovalbumin (OVA) was determined in the plasma of rats by an ELISA inhibition method. Briefly, microtitration plates were coated with OVA (0.15 mL at 50 mg/L) for 24 h at 4°C. Free uncoated sites were blocked with fish gelatin. In separate plates, 1 part OVA dilution (standard) or test sample was incubated for 1 h at room temperature with 1 part rabbit anti-OVA antibody (diluted 1:50,000). After incubation, 0.1 mL of this mixture was added to the OVA-coated plates and incubated for 2 h at room temperature. A goat anti-rabbit peroxidase labeled conjugate (1:20,000) followed by enzyme substrate were then added and optical density measured at 492 nm.

Intestinal permeability to lactulose and mannitol.

Urine samples were prepared as follows: samples were diluted 20-fold with deionized water. Diluted urine (1 mL) was desalted with 0.25 g of a washed ion-exchange resin (Amberlite IR120 and IRA400), mixed and filtered through 0.2-µm (pore size) filters. HPLC analysis was performed on a 250 x 40 mm Dionex CarboPac PA1 ion exchange guard and analytical column (Dionex, Sunnyvale, CA). The detection was done amperometrically. The quantification was performed by peak-height analysis and peak-height ratios with internal standardization (Fleming 1990Citation ).

Histochemical detection and quantification of apoptosis.

Histochemical detection and quantification of apoptosis in intestinal cells was based on the method of Gavrieli et al. (1992)Citation , which uses terminal deoxynucleotidyl transferase (TDT) to incorporate biotinylated deoxyuridine at sites of DNA fragmentation. This process is detected by conventional histochemistry after incubation with avidin-biotin.

Tissue samples were fixed in 40 g/L formalin and embedded in paraffin. Deparaffinization of 4-µm sections was done by heating the sections for 10 min at 70°C. Hydration was done by transferring the slides through the following sequence: twice to xylene for 5 min and then at room temperature for 3 min to 100% ethanol, 95% ethanol, 80% ethanol, 60% ethanol, 40% ethanol and double-distilled water. Nuclei in the tissue sections were stripped from proteins by incubations with 10 mg/L proteinase K (Sigma, St. Louis, MO) in 10 mmol/L Tris-HCl (pH 7.4–8.0) for 20 min at room temperature. Sites were then washed twice in double-distilled water (four times for 2 min each) and incubated with 20 µL of 1 mg/L of Avidin D (Vector Labs, Burlingame, CA) at room temperature for 30 min before washing twice in PBS and blocking of endogenous peroxidase activity. This was done by incubating the sections for 5 min with 30 g/L H2O2 plus 10 mg/L biotin (Sigma) in PBS. The slides were then rinsed in PBS and incubated for 60 min at 37°C in a moist atmosphere with TDT buffer containing 25 mmol/L cobalt chloride, TDT enzyme (3 x 105 U/L), and 1 mmol/L biotinylated-16-dUTP (Boehringer Mannheim, Rotkruez, Switzerland). After the reaction was stopped and sections rinsed with double-distilled water, the sections were covered with 20 g/L bovine serum albumin for 10 min at room temperature, rinsed again in double-distilled water, then PBS, and then incubated with avidin-biotin horseradish peroxidase (Vector Labs) for 45 min before incubation with the substrate 3-amino-9-ethyl-carbazole (Sigma) for ~10 min at room temperature.

The total numbers of intestinal epithelial cells (IEC) and apoptotic IEC in proximal and distal intestinal tissues were determined by counting the number of cells in well-oriented, intact villi. Between 12 and 37 villi per tissue section were examined. Cells were scored as apoptotic if the nucleus showed an intense brown staining. The results were expressed as the percentage of stained IEC in each villus. The lamina propria is an anatomically ill-defined compartment, making identification and quantification of apoptotic cells difficult. Nevertheless, differences in the apoptotic index were estimated by expressing the number of villi with positive staining as a percentage of the total number of villi examined for each treatment group.

Statistical analysis.

Data are expressed as means ± SEM One-way ANOVA and post-hoc Bonferroni tests were used to determine mean differences among the groups for all the variables studied. A difference was considered significant at P < 0.05. In cases in which variances were not equal, a nonparametric ANOVA (Kruskal-Wallis test) was used to confirm significant differences.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Growth and nitrogen utilization.

Starvation for 72 h produced an average weight loss of 14.5%. Rats gradually recovered their weight during refeeding. In fact, rats gained 28.6 ± 1.4 g body weight during the 3-d refeeding period, whereas non-starved control rats fed the same diet gained only 13.4 ± 0.8 g in the same period (Fig. 1Citation ). Digestibility was significantly higher (P < 0.05) in refed rats compared with controls, whereas the fecal output was significantly lower (P < 0.05) in refed rats than in controls. Rats refed the experimental diet did not differ in net protein utilization from control rats, but energy conversion efficiency and the protein efficiency ratios of the refed rats were greater than those of control rats (Table 2Citation ).



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Figure 1. Daily body weight of control rats and starved and refed rats fed the control diet for 3 d. Values are means ± SEM, n = 8. * Significantly different from controls, P < 0.05.

 

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Table 2. Body weight gain, food, energy and protein intakes, energy (ECE) and protein (PER) efficiencies, digestibility, net protein utilization (NPU) and biological value (BV) in control, starved and refed rats1

 
Muscle glutamine.

Three days of starvation resulted in muscle glutamine concentrations that were 35% lower than those in the control group (Fig. 2Citation ). Refeeding rats for 3 d raised muscle glutamine to a concentration that was not different from controls.



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Figure 2. Muscle glutamine concentrations of control rats, starved rats and refed rats fed the control diet for 3 d. Values are means ± SEM, n = 8. Values not sharing a letter are significantly different, P < 0.05.

 
Tissue protein content.

After 72-h of food deprivation, the specific protein concentration of gut mucosa (mg protein/g tissue) was 19% lower than that of controls (P < 0.05), but that of refed rats was not different from that of controls (Table 3Citation ). The specific protein concentration of liver was significantly higher in starved rats than in refed rats. The liver weight of the starved rats (5.2 ± 0.1 g) was significantly (P < 0.05) lower than that of controls (7.5 ± 0.1 g) or refed rats (6.6 ± 0.2 g). Total liver protein content of control rats (1.01 ± 0.03 g) was significantly (P < 0.05) greater than that of starved (0.76 ±0.01 g) or refed rats (0.82 ± 0.05 g).


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Table 3. Protein concentration of the gut mucosa, liver and muscle of control, starved and refed rats1

 
Glutathione levels in liver and gut mucosa.

Starved rats had significantly greater levels of oxidized glutathione (GSSG) in liver and gut mucosa than did control or refed rats. In contrast, food deprivation did not affect GSH levels in gut mucosa or liver (Table 4Citation ).


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Table 4. Reduced glutathione (GSH) and oxidized glutathione (GSSG) levels and GSH/GSSG ratios in gut mucosa and liver of control, starved and refed rats1

 
Intestinal permeability to ovalbumin and to lactulose/mannitol.

In rats starved for 72 h, intestinal permeability to ovalbumin was greater than that of control rats (Fig. 3Citation ). However, this variable was normalized in refed rats, such that no significant difference was observed between them and the control rats. There were no significant differences in the lactulose/mannitol concentration ratios found in the urine of the three groups (0.79 ± 0.05, 0.72 ± 0.06, 0.88 ± 0.07 for the control group, starved rats and refed rats, respectively).



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Figure 3. Plasma ovalbumin concentrations of control rats, starved rats and refed rats fed the control diet for 3 d. Values are means ± SEM, n = 8. Values not sharing a letter are significantly different, P < 0.05.

 
Apoptosis.

Control rats had very few apoptotic IEC which, when present, were located at the extreme tips of the villi. On the other hand, starved and refed rats had higher percentages of apoptotic IEC per villus than did controls (Table 5Citation ). Identification and quantification of apoptotic cells in the lamina propria is difficult. Nevertheless, a difference in the degree of staining among the different treatment groups was observed. Few villi in control rats had apoptotic cells in the lamina propria compartment, especially in distal intestine. In starved rats, a significantly greater percentage of villi in the distal intestine showed staining (Fig. 4BCitation and Table 5Citation ). However, there was no major difference in the pattern of staining between tissues from the refed rats and those from control rats at either intestinal location.


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Table 5. Distribution of apoptotic intestinal epithelial cells (IEC) in the small intestine of control, starved and refed rats

 


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Figure 4. Terminal deoxynucleotidyl transferase dUTP-biotin nick end labeling (TUNEL) staining of rat small intestine. (A) TUNEL staining after pretreatment of the tissue with DNAase 1 as a positive control (x40 magnification). (B) Section of distal small intestine from a starved rat depicting positive staining of intestinal epithelial cells at the villous tip and staining of cells within some lamina propria (x25 magnification).

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Malnutrition, such as that produced by dietary restriction, results in severe metabolic impairment and small-intestine hypofunction in animals and humans. Thus, starvation or total parenteral nutrition cause a decrease in brush border enzyme activity (Jenkins and Thompson, 1994Citation ) and an increase in the intestinal permeability to macromolecules (Bjarnason et al. 1983Citation ) in humans. Starvation for 72 h produced an average weight loss of 14.5%. These data confirm previous studies by Poullain et al. (1989)Citation who observed an average weight loss of 13% in adult rats after 3 d of starvation. Body weight gain during the refeeding period was significantly higher (P < 0.05). Nevertheless, control and refed rats did not differ in net protein utilization or biological value (Table 2)Citation . Thus, even after starvation, when there is a huge demand for protein for cell mass recovery, especially in the gut, increasing the protein content to 19% of the total diet (Soy + Met diet) did not lead to a comparably greater use of the nitrogen source for protein synthesis in the refed group.

Because body weight changes were not due to a higher net protein utilization or biological value, they probably resulted from cell hydration. Indeed, we observed higher specific protein concentration in the liver of starved rats than in refed animals. Moreover, starvation produced a fall in liver weight of 30%, compared with a decrease of 14.5% in total body weight. This effect of food deprivation in rat hepatocyte cell volume has been reported by Blommart et al. (1995)Citation who described it as a short-term physiologic stimulus for protein catabolism. According to these authors, circulating insulin levels and cell volume also decrease total liver protein content. In our case, the hepatocellular protein content decreased to a lesser extent than cell volume. This fact could explain why specific liver protein concentration was greater in starved rats than in refed rats. Björntorp and Yang (1982)Citation , using rats starved for 65 h, explained the body weight loss during the starvation period as mainly the result of water losses. As in this study, total body weight gain was greater in refed rats than in control rats with no difference in food intake. Body weight gain in that study was accomplished by a fivefold greater energy efficiency in the refed rats. This was explained in part by a decrease in thermogenesis in the refed rats, allowing less energy to be lost as heat and more accumulated as protein, fat and glycogen. This energy conservation due to a decreased energy requirement for maintenance in food-deprived rats was also observed by Hill et al. (1984)Citation in 300-g rats that were starved for 3 d and then refed for 17 d. This energy conservation mechanism would be present during food restriction and for some time during early refeeding. Taking into account the daily body weight changes shown in Figure 1Citation , the highest growth rate during refeeding was observed during the first 24 h after refeeding. Therefore, data on body weight gain in the refed rats were affected by undigested food in the intestinal contents. Fecal output during the refeeding period was measured and was found to be significantly higher in the control group than in the refed group. Therefore, energy conversion and protein efficiencies were overestimated because intestinal contents cannot be considered as growth.

The lower protein content we observed in the gut mucosa of rats starved for 72 h might be due to the gut atrophy that developed in these rats. However, this variable was normalized in refed rats, such that there was no significant difference between these rats and those of the control group. Starvation resulted in a higher specific protein concentration of liver and muscle (mg protein/g tissue) compared with that of control and refed rats, mainly due to water loss and depletion of the levels of glycogen in both tissues. Blommart et al. (1995)Citation reported that overnight food deprivation produces the virtual disappearance of hepatic glycogen stores in rats.

Depletion of systemic glutathione levels (whole blood) has been reported in a number of stress conditions, including short-term food deprivation (Hum et al. 1991Citation ) and chronic dietary protein deficiency (Grimble et al. 1992Citation ). A fall in reduced glutathione level when these conditions are present implies that a persistent oxidative load leads to the net consumption of reduced glutathione, exceeding the rate of synthesis of the molecule. In this study, starved rats had significantly higher levels of oxidized glutathione in liver and gut mucosa than did control rats. Refeeding led to a normalization in GSSG concentrations in both tissues. In this study, we found little difference among groups (Table 4)Citation in GSH. Starvation for 3 d did not alter liver GSH concentration (expressed in nmol/mg protein). Our results are in agreement with those reported by other investigators (Hunter and Grimble 1997Citation , Jahoor et al. 1995Citation , Malmezat 1997Citation ) who observed that 24–48 h after stress induction, rats and pigs had plasma and tissue GSH concentrations similar to or even higher than those of nonstressed controls. They suggested that a minimum time is necessary to equilibrate the oxidant/antioxidant changes that the stress has produced. GSH synthesis in rats would be enhanced to compensate for the increased conversion to GSSG that results from starvation-induced oxidative stress. If the starvation period had been longer, we would probably have observed depleted liver and mucosa GSH concentrations, especially because of the lack of cysteine availability for GSH synthesis. Nevertheless, we have shown that the GSH/GSSG ratio was significantly lower in liver and gut mucosa of starved rats. This decreased ratio has been associated with an acceleration of proteolysis in the skeletal muscle, an increased susceptibility to hepatotoxicity, an impairment in nutrient-stimulated insulin release in pancreatic islets and an increased risk of developing hyperoxic damage in lungs (Godin and Wohaieb 1988Citation ). Therefore, the GSH/GSSG ratio in tissues is a clear marker of oxidative stress. Under conditions of metabolic stress, the rate of formation of GSSG exceeds the capacity of the cell to regenerate GSH from GSSG.

The intestinal permeability confirmed previous results obtained in starved rats at weaning (Boza et al. 1995 and 1996Citation Citation ), which showed that a 3-d starvation period produced an increase in the serum concentration of ovalbumin after force-feeding (10-fold higher concentration in malnourished rats compared with rats at weaning). In the previous studies, refeeding for 96 h was enough to normalize permeability. In this study, refeeding also led to the normalization of the intestinal permeability after starvation. However, this starvation effect on mucosal integrity (which is also observed in critically ill and postoperative patients) may provoke a massive translocation of microbes, microbial products or microbial residues. This could initiate or maintain clinical sepsis that could ultimately lead to multiple organ failure (Bengmark and Jeppsson 1995Citation ).

There were no significant differences in the lactulose/mannitol ratios in the urine of rats fed the control diet and the urine of starved rats. In spite of the small difference in molecular weight between mannitol (MW: 182) and lactulose (MW: 342), the former can pass through the enterocyte cell membrane by the transcellular route, whereas the latter may follow a paracellular route. The lactulose molecule is much smaller than most biological macromolecules; however, there is evidence that once a critical size has been exceeded, similar patterns may be demonstrated for larger molecules (Wheeler et al. 1978Citation ). Elia et al. (1987)Citation showed that a 4-d starvation period in humans decreased excretion of mannitol but had no effect on lactulose excretion, thus leading to an increase in the lactulose/mannitol ratio. This was not due to an expected increase of the paracellular absorption of lactulose, which is the case in patients suffering from diseases of the small intestinal(Bjarnason et al. 1983Citation ). It seems that the decrease observed in mannitol absorption after starvation is due to a reduction in the functioning mucosal mass. Perhaps this affects the lactulose/mannitol ratio to such an extent that, for example, we do not see differences between control and starved rats. However, circulating ovalbumin levels showed that starved rats had a greater intestinal permeability compared with controls.

Programmed cell death or apoptosis is the most common form of eukaryotic cell death and is the way in which the body eliminates unwanted cells and helps maintain homeostasis. Under normal situations, this process is not accompanied by an inflammatory response, but dysregulation may lead to pathologic conditions. The turnover of intestinal epithelial cells is a well-regulated process with immature crypt cells moving up to the villus to become terminally differentiated cells at the villous tips 2–3 d later. These differentiated cells ultimately undergo apoptosis and are either extruded from the tips or phagocytosed by cells within the villus. Thus, the number of cells undergoing apoptosis at any time will determine the level of mature, differentiated cells on the crypt-villus axis and will give an indication of repair mechanisms after injury or stress. It is for this reason that the number of apoptotic intestinal cells was examined in the different treatment groups. Under normal conditions, apoptotic cells are very few and are located at the very tips of intestinal villi and, occasionally, in the crypts. Animals in the non-starved control groups showed this pattern. Although starvation led to an increase in the number of apoptotic cells, this was normalized by refeeding.

There is increasing evidence that the function and integrity of the intestinal mucosa are important for the outcome in postoperative trauma patients, patients suffering from malabsorption syndromes or septic patients, for example. By stimulating the mucosal cell proliferation, enteral feeding may provide great benefit to critically ill patients. Enteral diets produce enterothrophic effects that reverse gut atrophy, maintain mucosal integrity, thus reducing the possibility of bacterial translocation. Little is known about the molecular mechanisms that mediate the enterothrophic actions of specific nutrients (Jenkins and Thompson, 1994Citation ). Further research on the benefits of enterothrophic dietary regimens in clinical settings is required. In so doing, the formulation of diets containing specific nutrients to promote protection and healing of the gut mucosa may be possible (Raul and Schleiffer, 1996Citation ).

In conclusion, using severely starved rats, we have established a reversible experimental animal model of malnutrition, which describes modifications of key metabolic variables and might prove useful in comparing enteral diets for clinical nutrition.


    ACKNOWLEDGMENTS
 
We thank R. Muñoz-Box and J. C. Maire for contributing to the statistical analysis, and P. A. Finot and D. Breuillé for helpful discussion.


    FOOTNOTES
 
2 Abbreviations used: GSH, reduced glutathione; GSSG, oxidized glutathione; IEC, intestinal epithelial cells; OVA, ovalbumin; TDT, terminal deoxynucleotidyl transferase. Back

Manuscript received September 24, 1998. Initial review completed October 26, 1998. Revision accepted April 12, 1999.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

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