- Research article
- Open Access
- Open Peer Review
This article has Open Peer Review reports available.
Structural, functional and molecular analysis of the effects of aging in the small intestine and colon of C57BL/6J mice
© Steegenga et al.; licensee BioMed Central Ltd. 2012
Received: 27 April 2012
Accepted: 17 August 2012
Published: 28 August 2012
By regulating digestion and absorption of nutrients and providing a barrier against the external environment the intestine provides a crucial contribution to the maintenance of health. To what extent aging-related changes in the intestinal system contribute to the functional decline associated with aging is still under debate.
Young (4 M) and old (21 M) male C57BL/6J mice were fed a control low-fat (10E%) or a high-fat diet (45E%) for 2 weeks. During the intervention gross energy intake and energy excretion in the feces were measured. After sacrifice the small and large intestine were isolated and the small intestine was divided in three equal parts. Swiss rolls were prepared of each of the isolated segments for histological analysis and the luminal content was isolated to examine alterations in the microflora with 16S rRNA Q-PCR. Furthermore, mucosal scrapings were isolated from each segment to determine differential gene expression by microarray analysis and global DNA methylation by pyrosequencing.
Digestible energy intake was similar between the two age groups on both the control and the high-fat diet. Microarray analysis on RNA from intestinal scrapings showed no marked changes in expression of genes involved in metabolic processes. Decreased expression of Cubilin was observed in the intestine of 21-month-old mice, which might contribute to aging-induced vitamin B12 deficiency. Furthermore, microarray data analysis revealed enhanced expression of a large number of genes involved in immune response and inflammation in the colon, but not in the small intestine of the 21-month-old mice. Aging-induced global hypomethylation was observed in the colon and the distal part of the small intestine, but not in the first two sections of the small intestine.
In 21-month old mice the most pronounced effects of aging were observed in the colon, whereas very few changes were observed in the small intestine.
The most well established functions of the small intestine are the digestion of food and absorption of nutrients. The main functions of the colon are the absorption of water and electrolytes and provide a reservoir for the fermentation of undigested macronutrients. To protect the body against detrimental invaders from the outside world, the intestine is armed with a complex and robust immune system [1, 2]. The colon is also host to a broad variety of microorganisms that not only are responsible for the fermentation of undigested nutrients and the synthesis of essential vitamins, but also play a crucial role in the establishment of a proper immune system in postnatal life . Recently, we have shown that physiological adaptations in the small intestine to dietary challenges may play a causal role in the development of diseases such as obesity and/or insulin resistance .
To enable these exclusive functions, the intestine has a unique and highly specialized tissue structure. A high efficiency of digestion and absorption is made possible by an enormous surface area created by intestinal folds, villi, microvilli, crypts and the glycocalyx in the small intestinal lumen. This large surface area facilitates optimal contact between food and digestive enzymes and creates a huge capacity for active and passive up-take of nutrients. In contrast to the small intestine, in the colon the increase in the surface area is realized by microvilli and crypts. The enormous contact area at the same time increases the risk of infections by either pathogens entering the body via the diet or by enteric commensal bacteria colonizing the intestinal lumen. Protection against invading microorganisms is provided by several defense mechanisms. Besides a mucous layer present on top of a continues layer of epithelial cells covering the surface of the intestine, a wide variety of immunological cells and tissue structures are present in the mucosa and submucosa of the intestinal wall [1, 4, 5].
Like all organs, the gastrointestinal tract does not escape the adverse effects of aging and various anomalies related to the digestive system occur with increasing frequency in our rapidly aging Western society. Impaired taste sensation, problems with swallowing, slower gastric emptying and intestinal and colonic transit, and altered levels of satiety hormones have been reported in the elderly [6–10]. To what extent impaired functioning of the small and large intestine contributes to the undernourished state often observed in the elderly is currently under debate. Aging-induced morphological [11–13] as well as functional changes in the intestine have been reported [8, 14, 15]. However, since these effects are often very subtle and the intestinal system has a highly adaptive and extensive reserve capacity , it is still questionable whether these changes play a role in aging-related malnutrition. Furthermore, it has been shown that aging can cause bacterial overgrowth in the small intestine [16, 17] and promote changes in microbial composition in the colon [18–20]. In addition, reported age-related changes in DNA methylation of the mouse intestine  might play a role in the altered gene expression levels observed in the duodenum and colon of aging mice . Together these observations demonstrate that although certain aspects of the aging intestine have been studied in a variety of independent studies, a comprehensive overview of the different features of the aging intestine is still lacking. Such a comprehensive study may prove essential to our understanding of how intestinal malfunction contributes to the undernourished condition often observed in the elderly.
In this study, we have carried out a detailed comparison of functional, structural and molecular features of the small intestine and the colon of 4- and 21-month-old male C57BL/6J mice. Mice of both age groups were exposed for two weeks to a low-fat or a high-fat diet to analyze the adaptive capacity of the intestine. During the intervention period body weight and the efficiency of energy up-take were measured. After sacrifice the small intestine and colon were isolated to analyze tissue morphology, luminal bacterial content and mucosal gene expression and DNA methylation. The results obtained in this study imply that at the age of 21 months, the intestine of C57BL/6J mice is functionally and structurally remarkably comparable to that of their 4-month-old counterparts. On a molecular level the main age-related changes in 21-month-old mice were found in the third part of the small intestine, and in particular in the colon.
The institutional and national guidelines for the care and use of animals were followed and the experiment was approved by the Local Committee for Care and Use of Laboratory Animals at Wageningen University (code number: drs-2010048b).
Animals and diets
Male C57BL/6J mice (age 2,5 and 19 months) were purchased from Janvier (Cedex, France) and were housed individually in the light and temperature-controlled animal facility (12/12 (light/dark), 20°C) of Wageningen University. The mice had free access to water and received standard laboratory chow (RMH-B, Arie Blok BV, Woerden, the Netherlands) for 12 days, followed by a run-in period for 3 weeks during which all mice received the low-fat diet (10E%) to adapt to the purified diets. At the start of the diet intervention, the young mice were divided into two groups of 6 mice and the old mice into two groups of 8 mice. A larger number of old mice were used to compensate for potential loss due to aging but none of the mice died during the experiment. Of each age group, half of the mice received a low-fat diet while the other half of the mice received a high-fat purified diet, as described in our previous study . Both diets were based on Research Diets’ formulas D12450B/D12451, with adaptations regarding type of fat (palm oil instead of lard) and carbohydrates (Research diet services, Wijk bij Duurstede, The Netherlands). Thus, the high-fat diet mimics the ratio of saturated to monounsaturated to polyunsaturated fatty acids (40:40:20) in an average Western style human diet. The energy density of all nutrients except fat and starch was equal. After 2 weeks of diet intervention all mice were anaesthetized with a mixture of isofluorane (1.5%), nitrous oxide (70%) and oxygen (30%) in the postprandial state. From all sacrificed mice the small intestine and the colon were excised. The small intestine was divided in three equal parts, cut open longitudinally and shaken thoroughly in an eppendorf tube containing 1 ml PBS to isolate the luminal content. The luminal content of the colon was isolated removing the fecal parts with a spatula. After washing the proximal, middle and distal part of the small intestine and the colon in PBS Swiss rolls were prepared of the middle part of each segment for histomorphological analysis. For mRNA expression analysis and global DNA methylation analysis scrapings were made of the mucosa and submucosa of the remaining part of each section, snap frozen in liquid nitrogen and stored at -80°C. Scrapings were crushed on liquid nitrogen and divided into two portions, one for RNA and the other for DNA isolation.
Energy intake and excretion
Food intake of each individual mouse was recorded during the run-in and the diet intervention period. Feces were collected from individual mice over a period of 24 hours and freeze dried after which the total amount of feces per mouse was measured. Energy content of the feces was determined with a bomb calorimeter (Isothermal Bomb Calorimeter, Cal2K, South Africa). The efficiency of energy intake was calculated by the formula: ((total energy intake – total energy exertion)/total energy intake)*100%.
Total RNA was isolated using TRIzol reagent (Invitrogen Breda, The Netherlands) according to the manufacturer’s instructions. The RNA was treated with DNAse and purified on columns using the RNAeasy microkit (Qiagen, Venlo, the Netherlands). RNA concentration was measured on a NanonDrop ND-1000 UV–vis spectrophotometer (Isogen, Maarsen, The Netherlands) and RNA integrity was checked on an Agilent 2100 Bioanalyzer (Agilent Technologies, Amsterdam, The Netherlands) with 6000 Nano Chips according to the manufacturer’s instructions. RNA was judged as suitable only if samples showed intact bands of 18S and 28S ribosomal RNA subunits, displayed no chromosomal peaks or RNA degradation products, and had a RNA integrity number (RIN) above 8.0.
Microarray hybridization and analysis
Equal amounts of total RNA of all six young mice per diet group were pooled for the proximal, middle and distal part of the small intestine respectively and for the colon. For the old mice the same procedure was applied, but now all eight mice per diet group were taken. One hundred nanogram of pooled RNA was used for Whole Transcript cDNA synthesis (Affymetrix, Santa Clara, CA). Hybridization, washing and scanning of Affymetrix GeneChip Mouse Gene 1.0 ST arrays were carried out according to standard Affymetrix protocols. All arrays of the small intestine were hybridized in one experiment, and all colon samples were hybridized together in a second microarray experiment. Data analysis of the small intestine and colon was done separately. Arrays were normalized using the Robust Multi-array Average method [23, 24]. Probe sets were defined according to Dai et al. . In this method probes are assigned to unique gene identifiers, in this case Entrez IDs. The probes on the Gene 1.0 ST arrays represent 20,985 Entrez IDs. For the analysis only genes were taken into account that had an intensity value of > 50 on at least one array. Pancreas-specific genes (http://biogps.org) were removed from the analysis in order to omit an effect of potential pancreatic contamination. Changes in gene expression were calculated as fold change between young and old mice or between a high-fat and low-fat diet. For further analysis we used a fold change cut-off of > 2.0 to minimalize the inclusion of false positive differentially expressed genes. Array data have been submitted to the Gene Expression Omnibus, accession number GSE39975.
cDNA synthesis and real-time quantitative PCR
Sequences of the primers used for Q-PCR analysis
Sequence forward primer
Sequence reverse primer
Primers were tested for specificity by BLAST analysis. Real-time quantitative PCR (Q-PCR) was performed using SYBR green and a MyIQ thermal cycler (Bio-Rad laboratories BV, Veenendaal, The Netherlands). The following thermal cycling conditions were used: 2 min at 94°C, followed by 40 cycles of 94°C for 15 s and 60°C for 45 s. PCR reactions to validate aging-induced differential gene expression were performed in duplicate and all samples were normalized to 36B4 expression.
Four-micrometer sections of paraffin-embedded parts of the proximal, middle and distal segment of the small intestine and of the colon were mounted on Superfrost microscope slides. These sections were dewaxed in xylene and rehydrated in a series of graded alcohols. After staining with Meyer's hematoxylin/eosine sections were mounted with DePex mounting medium (Gurr, BDH, Poole, Dorset, UK).
Bacterial DNA extraction
DNA was extracted from the freeze-dried luminal content of the 4 sections of the intestine using the method described by Salonen et al.. In short, approximately 0.1 g was used for mechanical and chemical lysis using 0.5 ml buffer (500 mM NaCl, 50 mM Tris–HCl (pH 8), 50 mM EDTA, 4% SDS) and 0.25 g of 0.1 mm zirconia beads and 3 mm glass beads. Nucleic acids were precipitated by addition of 130 μl, 10 M ammonium acetate, using one volume of isopropanol. Subsequently, DNA pellets were washed with 70% ethanol. Further purification of DNA was performed using the QiaAmp DNA Mini Stool Kit (Qiagen, Hilden, Germany). Finally, DNA was dissolved in 200 μl Tris/EDTA buffer and its purity and quantity were checked spectrophotometrically (ND-1000, nanoDrop technologies, Wilmington, USA).
16S rRNA Q-PCR
To quantify total bacteria using 16 S rRNA-specific primers Q-PCR analysis was in carried out as described above with a few modifications. The used primer sequence used were: 5’-ACTCCTACGGGAGGCAGCAG-3’ and 5’-ATTACCGCGGCTGCTGG-3’ The Q-PCR conditions used were: 95°C for 10 min, followed by 35 cycles of denaturation at 95°C for 15 sec, annealing temperature of 60°C for 20 sec, extension at 72°C for 30 sec and a final extension step at 72°C for 5 min.
DNA isolation from scrapings of the small intestine and the colon
Genomic DNA was isolated from the crushed scraping by using DNeasy® Blood and Tissue Kit (Qiagen, Venlo, the Netherlands) according to the manufacturer’s instructions. The DNA was treated with RNase and eluted in Tris/EDTA buffer (pH 9.0). DNA purity and quantity were checked spectrophotometricaly (ND-1000, nanoDrop technologies, Wilmington, USA).
DNA methylation analysis
700 ng of genomic DNA for each sample was bisulfite-treated using EZ-96 DNA Methylation-Gold™ Kit (Zymo Research, USA) and eluted in 16 μL of M-Elution Buffer. Included in the bisulfite-treatment was a separate methylation curve consisting of a mix of low and highly methylated mouse genomic DNA (0%, 25%, 50%, 75% and 100% of highly methylated DNA (EpigenDx, Worcester, USA)). The B1-element assay was performed in a 45 μL PCR reaction containing 6 μL of bisulfite-treated genomic DNA, PyroMark PCR Master Mix, CoralLoad Concentrate according to manufacturer’s instructions and 0.4 μM of each primer (Qiagen, Venlo, the Netherlands). The following thermal cycling conditions were used: 15 min at 95°C, followed by 45 cycles of 94°C for 30 s, 54°C for 30s, and 72°C for 40s, followed by a final elongation step at 72°C for 10 min. The primer sequence used for forward and biotinylated reverse primer were 5’-TTGGTTATTTTGGAATTTATTTTGTAGAT-3’ and 5’-biotin-TAATAACACACACCTTTAATCCCAACA-3’ respectively. B1-element methylation analysis was performed using Pyromark™ pyrosequencing technology (Biotage AB, Uppsala, Sweden). The PCR product was purified and made single-stranded using the Pyrosequencing Vacuum Prep Tool according to the manufacturer’s instructions (Qiagen, Venlo, The Netherlands). Sequencing primer (5’-TTTGGAATTTATTTTGTAGATTAG-3’) was annealed to the purified single-stranded PCR product and pyrosequencing was performed using the Q24 Pyrosequencing System (Qiagen, Venlo, The Netherlands) and CpG methylation was analyzed with the provided software.
Physiological data are reported as the mean ± the standard error (SE). The differences between the mean values were tested for statistical significance by a one-way ANOVA. P-values < 0.05 are considered statistically significant.
A high-fat diet, but not aging, affects intestinal function and morphology
To perform its unique functions, the intestine requires a highly specialized tissue structure. Morphometric analysis of H&E stained sections of the proximal, middle and distal part of the small intestine showed, as expected, a marked decrease in villi length in the successive segments of the small intestine. However, again no significant differences between old and young mice were observed (Figure 1E). In the distal part of the small intestine a small but significant increase in villi length was observed after 2 weeks exposure to a high-fat diet in both old and young mice. No difference in crypt depth and villi width was found between old and young mice in all three parts of the small intestine (data not shown). In the colon, no differences between young and old mice in crypt depth on H&E stained sections or in the number of proliferating cells as measured by Ki67 staining were observed (data not shown). Thus, no changes were found in the functional capacity as well as in the tissue morphology of the intestine between 4- and 21- month-old mice.
Aging-induced changes in gene expression are more pronounced in the colon than in the small intestine
By comparing the total number of differentially expressed genes by aging under low-fat and high-fat conditions in all segments of the intestine together we found that most of the genes that were over 2-fold regulated in mice fed a low-fat diet were also regulated in mice fed a high-fat diet (Figure 2B). Interestingly, a comparison of the 3 segments of the small intestine revealed that only 2 genes were over 2-fold regulated in all segments under either low-fat or high-fat conditions (Figure 2C). Furthermore, 27 genes were differentially expressed in the colon as well as in one or more segments of the small intestine in response to aging (Figure 2D). However, of these 27 genes 15 were oppositely regulated (see Additional file 1: Table S1).
Increased expression of genes involved in immune response and inflammation in the colon of aged mice
To determine whether the observed changes in expression of genes involved in immune response and inflammation were due to alterations in the microflora, 16S rRNA Q-PCR analysis was carried out to analyze the total number of bacteria present in the luminal content of the three segments of the small intestine and of the colon. The results presented in Figure 3E show that, as expected, by far the largest number of bacteria was found in the colon, but no significant changes in total bacterial content between young and old mice were observed. In the distal part of the small intestine a decline in the number of bacteria was found in old mice, but this effect was only significant in mice fed a low-fat diet. In addition, relative abundance of Bacteriodetes and Firmicutes was measured in the colon to determine changes in composition of microbiota. However, no aging-induced changes were observed for these dominant phyla (data not shown).
Together these results indicate that the group of genes showing enhanced expression in the colon of aging mice is dominated by genes involved in immune response and inflammation, but this effect cannot be explained by changes in the total number of bacteria present in the lumen or changes in the Bacteriodetes/Firmicutes ratio.
Decreased expression of Cubilin in the intestine of aging mice
In summary, while no major effects on macronutrient metabolism were found in the intestine of old mice, our microarray data revealed that micronutrient metabolism might be affected by aging due to changes in gene expression in the intestine in aging mice. However, further research is required to determine the functional consequences of these changes.
A high-fat dietary challenge affects gene expression in the small intestine of young and old mice
IPA analysis applied to the genes regulated in response to a high-fat diet in the small intestine of young and old mice indicated that, although the number of genes showing over 2-fold regulation differed between young and old mice, the same pathways were affected in both age groups (Figure 5B and Additional file 4: Table S4). The most pronounced difference in the fat response between old and young mice was detected in the distal part of the small intestine. Analysis of the microarray data revealed that in this segment of the small intestine a large number of genes involved in immune response and inflammatory processes were down-regulated in response to a high-fat diet in old mice (see Additional file 3: Table S3).
Taken together these results imply that although the number of genes over 2-fold regulated by a high-fat dietary challenge is different between young and old mice, the same pathways were affected in the two age groups. This suggests that the intestine of the old mice seems still highly capable in handling a high-fat dietary challenge.
Decreased global DNA methylation in the intestine of aging mice
The importance of appropriate functioning of the gut for the maintenance of health has been generally accepted. However, to what extent aging-induced functional decline in the small intestine and colon have a causal effect on the impaired health status of the increasing number of elderly in our modern Western society is still an unresolved issue. A large number of studies have already zoomed in on different features of the aging intestine separately, but in this study we have examined functional, structural and molecular effects of aging in the mouse small and large intestine. The adult life in C57BL/6J mice is characterized by different phases. The young adult phase starts at 3 and ends at 6 months of age and reflects a human age ranging from 20 to 30 years. Mice are considered to be in their old phase when they are between 18 and 24 months of age representing a human age ranging from 56 until 69 years [30, 31]. By comparing energy intake between C57BL/6J mice at the age of 4- and 21-months, we found no reduction in either the efficiency of energy absorption of the control 10E% fat diet or of the 45E% high-fat diet. The fact that energy intake is not altered in the mice implies that capacity to digest and absorb macronutrients by the gastrointestinal tract does not decline with age. In line with this observation, our microarray data discloses no significantly altered pathways in macronutrient metabolism in aging mice up to the age of 21-months. A previous study has analyzed gene expression regulation in the duodenum and colon of aging rats . Similar to our findings this study also observed a higher number of differentially expressed genes in the colon compared to the small intestine. Furthermore, in agreement with our results they found that in the colon, aging caused mainly increased gene expression, while in the small intestine most of the differentially expressed genes were decreased. However, while in our study the number of altered genes involved in metabolic processes was very low, Lee and colleagues reported altered expression of genes involved in nutrient digestion and absorption and energy metabolism, although this observation was not further supported by additional functional analyses . Differences between aging in rats and mice, different segments of the intestine analyzed or the use of scrapings versus whole intestine are factors that might contribute to the discrepancy between the obtained results.
Although we did not observe marked changes in expression of genes involved in macronutrient metabolism, changes in expression levels of genes playing a role in micronutrient metabolism including Cubn were detected. Cubn is of crucial importance for the absorption of vitamin B12 by mediating the transfer of the intrinsic factor-vitamin B12 complex over the apical membrane of enterocytes . Our microarray data show decreased expression of Cubn in the proximal and middle part of the small intestine as well as in the colon of aging mice. Vitamin B12 deficiency occurs frequently in elderly humans [34, 35] and has been shown to play a causal role in a variety of diseases like depression and impaired cognition [36, 37], cardiovascular diseases  and osteoporosis [39, 40]. Vitamin B12 deficiency in the elderly is mainly due to reduced food intake and, predominantly, malabsorption. It is believed that insufficient release of vitamin B12 from food and impaired coupling to intrinsic factor (IF) due to chronic atrophic gastritis  represent the underlying mechanisms of the malabsorption. However, our results imply that reduced expression of Cubn might contribute to the impaired absorption of vitamin B12 in the intestine and that this decreased expression puts the elderly at risk of becoming vitamin B12 deficient.
While aging-induced molecular responses occurred predominantly in the colon, in contrast, the major changes in gene expression induced by a high-fat dietary challenge were found in the small intestine. Furthermore, while IPA analysis of the differentially expressed genes showed that aging did not cause major changes in metabolic pathways, genes involved in a variety of metabolic processes dominated the molecular response induced by the high-fat diet, confirming the results of our previous study . Interestingly, exposure to a high-fat diet for two weeks resulted in increased villi length in the distal part of the small intestine in young and old mice. One could speculate that the capacity of the proximal and middle part of the small intestine is insufficient to clear the intestinal content of all lipids and/or fatty acids in case of a diet containing 45E% of fat. As a consequence, the final part of the small intestine is exposed to increased amounts of fat affecting the tissue structure in this part of the small intestine. The fact that the dietary composition affects tissue morphology of the intestine implies that identical nutritional conditions are of crucial importance to analyze aging-induced changes in tissue morphology of the intestine. In line with some other studies we did not observe aging-induced morphological changes in any of the 4 segments of the intestine while other studies reported changes in tissue morphology of the intestine as a consequence of aging. The inconsistency in the published data might be explained by differences in species used in the different studies or the different age groups that were compared. However, part of the diversity in effects might also be caused by artifacts induced by differences in the dietary conditions [13, 41–44].
The increased expression of genes involved in immune response and inflammation observed in the colon of the 21-month-old mice points to an affected immune system in this part of the intestine of aging mice. This observation is in agreement with the fact that changes in the immune system are one of the hallmarks of the aging body. Immunosenescence is the functional decline of the adaptive immune system brought on by natural aging whereby protection against infection by pathogens and the effectiveness of vaccination decline [45, 46]. The second aging-induced change in the immune system is called inflammaging which is characterized by a low-grade chronic inflammation process that contributes to the pathogenesis of many age-related diseases [47–49]. A large variety of cells with a defense function are present especially in the lamina propria and the submucosa of the intestine accomplishing immune protection via the innate as well as by the adaptive immune response. Interestingly, our microarray and Q-PCR data clearly show that activity of both branches of the immune system is enhanced in response to aging exclusively in the colon but not in the small intestine of old mice. Expression levels of well-established pro-inflammatory cytokines like IFNγ, TNFα, IL6 and IL1β turned out to be extremely low in the colon of both old and young mice and below the threshold of our microarray analysis. These low expression levels are probably due to the fact that these cytokines are predominantly produced by immune cells in the mucosa which is a rather low percentage of cells in relation to all cells present in the intestinal tissue. Q-PCR analysis confirmed the very low basal expression levels of these pro-inflammatory cytokines, yet a weak but significant induction of IFNγ TNFα and IL-1β in the colon of aging mice was observed. This result suggests that low-grade inflammation might be present in the colon of the aging mice in our study, although it should be noted that no altered expression of a number of established inflammation markers like Toll-like receptors (TLRs), C-type lectin receptors (CLRs) and retinoic acid-inducible receptors (RLRs)  was detectable.
Changes in the gut microbiota in terms of composition and functionality during the process of aging have previously been reported [19, 20, 51] and it has been postulated that these changes might contribute to the development of immunosenescence and inflammaging [18, 52]. To establish whether the enhanced expression of genes playing a role in the immune system are due to modifications in the microbiota we measured the total number of all bacteria and of the two most prominent phyla colonizing the colon, Bacteriodetes and Firmicutes, in the luminal content of the colon. We did not observe aging-related changes. More advanced techniques like pyrosequencing are required to determine whether total number of bacteria and changes in the composition of the microbiota might play a causal role in the observed changed expression of immune-related genes in the colon of our aging mice. Although it is difficult to assess the physiological consequences of the enhanced expression of genes involved in inflammation and immune response, it seems most likely that this effect is important for the health status of the aging colon.
Interestingly, also colorectal cancer, which occurs with increased frequency in the elderly, has been related to an altered immune status of the colon [53–55]. The fact that we only found increased expression of immune-related genes in the colon, but not in the small intestine is intriguing since tumor formation is a very rare event in the small intestine and molecular evidence explaining the extreme difference in incidence of tumor formation in the two segments of the intestine is currently still lacking. In contrast to what has previously been found in the colon of aging rats , none of the well-established genetic markers of colorectal cancer (i.e. APC, KRAS, p53 etc.) or genes involved in cell cycle arrest and apoptosis  showed marked differential expression in the colon of the old mice in our study. This observation might be related to the fact that colorectal cancer is only a rare spontaneous event in C57BL/6J mice and that specific predisposing mutations  or carcinogenic agents [58, 59] are required to induce colorectal cancer in this mouse strain. Apart from genetic events epigenetic modifications have become important markers of tumor development, in particular of colorectal tumors . Hypomethylation of repetitive sequences is frequently observed in tumor tissue, but is also recognized to be an established feature of normal aging tissue . Interestingly, our results show differential demethylation between the various segments of the intestine of normal old mice. Since no significant demethylation in the proximal part of the small intestine is observed, it can be speculated that this part of the intestine is less prone to tumor development. Further research is required to prove this hypothesis and to establish whether changes in DNA methylation are responsible for the altered levels of gene expression observed in the colon of our aging mice in line with what previously has been reported .
The results obtained in this study did not reveal aging-induced morphological changes in neither the small intestine nor the colon of 21-month-old mice. Furthermore, no decrease in macronutrient metabolic functioning of the intestine was detectable. In agreement with these observations, the results obtained by microarray analysis indicated that macronutrient metabolism seems to function appropriately in old mice. In contrast however, gene expression patterns reveal that micronutrient metabolism might be affected in old mice which might contribute to some of the micronutrient deficiencies frequently occurring in the aging segment of our society. Furthermore, it can be speculated that the decrease in global DNA methylation and the altered status of the immune system of the colon might play a causal role in the decreased health status of this organ at old age.
This work was financially supported by Nutrigenomics Consortium, TI Food and Nutrition, the “Jan Dekkerstichting/Ludgardine Bouwmanstichting”, Amsterdam and SVGO, Heelsum.
- Garrett WS, Gordon JI, Glimcher LH: Homeostasis and inflammation in the intestine. Cell. 2010, 140 (6): 859-870. 10.1016/j.cell.2010.01.023.View ArticlePubMedPubMed CentralGoogle Scholar
- Santaolalla R, Fukata M, Abreu MT: Innate immunity in the small intestine. Curr Opin Gastroenterol. 2011, 27 (2): 125-131. 10.1097/MOG.0b013e3283438dea.View ArticlePubMedPubMed CentralGoogle Scholar
- de Wit NJ, Bosch-Vermeulen H, de Groot PJ, Hooiveld GJ, Bromhaar MM, Jansen J, Muller M, van der Meer R: The role of the small intestine in the development of dietary fat-induced obesity and insulin resistance in C57BL/6J mice. BMC Med Genomics. 2008, 1: 14-10.1186/1755-8794-1-14.View ArticlePubMedPubMed CentralGoogle Scholar
- Meier J, Sturm A: The intestinal epithelial barrier: does it become impaired with age?. Dig Dis. 2009, 27 (3): 240-245. 10.1159/000228556.View ArticlePubMedGoogle Scholar
- Barbosa T, Rescigno M: Host-bacteria interactions in the intestine: homeostasis to chronic inflammation. Wiley Interdiscip Rev Syst Biol Med. 2010, 2 (1): 80-97. 10.1002/wsbm.48.View ArticlePubMedGoogle Scholar
- Benelam B: Satiety and the anorexia of ageing. Br J Community Nurs. 2009, 14 (8): 332-335.View ArticlePubMedGoogle Scholar
- Bhutto A, Morley JE: The clinical significance of gastrointestinal changes with aging. Curr Opin Clin Nutr Metab Care. 2008, 11 (5): 651-660. 10.1097/MCO.0b013e32830b5d37.View ArticlePubMedGoogle Scholar
- Drozdowski L, Thomson AB: Aging and the intestine. World J Gastroenterol. 2006, 12 (47): 7578-7584.View ArticlePubMedPubMed CentralGoogle Scholar
- McDonald RB, Ruhe RC: Changes in food intake and its relationship to weight loss during advanced age. Interdiscip Top Gerontol. 2010, 37: 51-63.View ArticlePubMedGoogle Scholar
- Salles N: Basic mechanisms of the aging gastrointestinal tract. Dig Dis. 2007, 25 (2): 112-117. 10.1159/000099474.View ArticlePubMedGoogle Scholar
- Lee EK, Jung KJ, Choi J, Kim HJ, Han YK, Jeong KS, Ji AR, Park JK, Yu BP, Chung HY: Molecular basis for age-related changes in ileum: involvement of Bax/caspase-dependent mitochondrial apoptotic signaling. Exp Gerontol. 2010, 45 (12): 970-976. 10.1016/j.exger.2010.08.019.View ArticlePubMedGoogle Scholar
- Martin K, Kirkwood TB, Potten CS: Age changes in stem cells of murine small intestinal crypts. Exp Cell Res. 1998, 241 (2): 316-323. 10.1006/excr.1998.4001.View ArticlePubMedGoogle Scholar
- Trbojevic-Stankovic JB, Milicevic NM, Milosevic DP, Despotovic N, Davidovic M, Erceg P, Bojic B, Bojic D, Svorcan P, Protic M, et al: Morphometric study of healthy jejunal and ileal mucosa in adult and aged subjects. Histol Histopathol. 2010, 25 (2): 153-158.PubMedGoogle Scholar
- Woudstra T, Thomson AB: Nutrient absorption and intestinal adaptation with ageing. Best Pract Res Clin Gastroenterol. 2002, 16 (1): 1-15. 10.1053/bega.2001.0262.View ArticlePubMedGoogle Scholar
- Kirkwood TB: Intrinsic ageing of gut epithelial stem cells. Mech Ageing Dev. 2004, 125 (12): 911-915. 10.1016/j.mad.2004.09.004.View ArticlePubMedGoogle Scholar
- Lappinga PJ, Abraham SC, Murray JA, Vetter EA, Patel R, Wu TT: Small intestinal bacterial overgrowth: histopathologic features and clinical correlates in an underrecognized entity. Arch Pathol Lab Med. 2010, 134 (2): 264-270.PubMedGoogle Scholar
- Rana SV, Bhardwaj SB: Small intestinal bacterial overgrowth. Scand J Gastroenterol. 2008, 43 (9): 1030-1037. 10.1080/00365520801947074.View ArticlePubMedGoogle Scholar
- Tiihonen K, Ouwehand AC, Rautonen N: Human intestinal microbiota and healthy ageing. Ageing Res Rev. 2010, 9 (2): 107-116. 10.1016/j.arr.2009.10.004.View ArticlePubMedGoogle Scholar
- Biagi E, Nylund L, Candela M, Ostan R, Bucci L, Pini E, Nikkila J, Monti D, Satokari R, Franceschi C, et al: Through ageing, and beyond: gut microbiota and inflammatory status in seniors and centenarians. PLoS One. 2010, 5 (5): e10667-10.1371/journal.pone.0010667.View ArticlePubMedPubMed CentralGoogle Scholar
- Claesson MJ, Cusack S, O'Sullivan O, Greene-Diniz R, de Weerd H, Flannery E, Marchesi JR, Falush D, Dinan T, Fitzgerald G, et al: Composition, variability, and temporal stability of the intestinal microbiota of the elderly. Proc Natl Acad Sci USA. 2011, 108 (Suppl 1): 4586-4591.View ArticlePubMedGoogle Scholar
- Maegawa S, Hinkal G, Kim HS, Shen L, Zhang L, Zhang J, Zhang N, Liang S, Donehower LA, Issa JP: Widespread and tissue specific age-related DNA methylation changes in mice. Genome Res. 2010, 20 (3): 332-340. 10.1101/gr.096826.109.View ArticlePubMedPubMed CentralGoogle Scholar
- Englander EW: Gene expression changes reveal patterns of aging in the rat digestive tract. Ageing Res Rev. 2005, 4 (4): 564-578. 10.1016/j.arr.2005.06.005.View ArticlePubMedGoogle Scholar
- Bolstad BM, Irizarry RA, Astrand M, Speed TP: A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003, 19 (2): 185-193. 10.1093/bioinformatics/19.2.185.View ArticlePubMedGoogle Scholar
- Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B, Speed TP: Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 2003, 31 (4): e15-10.1093/nar/gng015.View ArticlePubMedPubMed CentralGoogle Scholar
- Dai MH, Wang PL, Boyd AD, Kostov G, Athey B, Jones EG, Bunney WE, Myers RM, Speed TP, Akil H, et al: Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data. Nucleic Acids Research. 2005, 33 (20).Google Scholar
- Wang X, Seed B: A PCR primer bank for quantitative gene expression analysis. Nucleic Acids Res. 2003, 31 (24): e154-10.1093/nar/gng154.View ArticlePubMedPubMed CentralGoogle Scholar
- Rozen S, Skaletsky H: Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol. 2000, 132: 365-386.PubMedGoogle Scholar
- Salonen A, Nikkilä J, Jalanka-Tuovinen J, Immonen O, Rajilic-Stojanovic M, Kekkonen RA, Palva A, de Vos WM: Comparative analysis of fecal DNA extraction methods with phylogenetic microarray: effective recovery of bacterial and archaeal DNA using mechanical cell lysis. J Microbiol Methods. 2010, In Press, Corrected ProofGoogle Scholar
- Cevenini E, Caruso C, Candore G, Capri M, Nuzzo D, Duro G, Rizzo C, Colonna-Romano G, Lio D, Di Carlo D, et al: Age-related inflammation: the contribution of different organs, tissues and systems. How to face it for therapeutic approaches. Curr Pharm Des. 2010, 16 (6): 609-618. 10.2174/138161210790883840.View ArticlePubMedGoogle Scholar
- Flurkey K, Currer JM, Harrison DE: The Mouse in Aging Research. The Mouse in Biomedical Research. Edited by: Fox JG, Davisson MT, Quimby FW, Barthold SW, Newcomer CE, Smith AL. 2007, Elsevier Inc, 637-672. 2View ArticleGoogle Scholar
- Lee HM, Greeley GH, Englander EW: Age-associated changes in gene expression patterns in the duodenum and colon of rats. Mech Ageing Dev. 2001, 122 (4): 355-371. 10.1016/S0047-6374(00)00254-2.View ArticlePubMedGoogle Scholar
- Kozyraki R: Cubilin, a multifunctional epithelial receptor: an overview. J Mol Med. 2001, 79 (4): 161-167. 10.1007/s001090100193.View ArticlePubMedGoogle Scholar
- Baik HW, Russell RM: Vitamin B12 deficiency in the elderly. Annu Rev Nutr. 1999, 19: 357-377. 10.1146/annurev.nutr.19.1.357.View ArticlePubMedGoogle Scholar
- Wolters M, Strohle A, Hahn A: Cobalamin: a critical vitamin in the elderly. Prev Med. 2004, 39 (6): 1256-1266. 10.1016/j.ypmed.2004.04.047.View ArticlePubMedGoogle Scholar
- Selhub J, Troen A, Rosenberg IH: B vitamins and the aging brain. Nutr Rev. 2010, 68 (Suppl 2): S112-S118.View ArticlePubMedGoogle Scholar
- Miller AL: The methionine-homocysteine cycle and its effects on cognitive diseases. Altern Med Rev. 2003, 8 (1): 7-19.PubMedGoogle Scholar
- McCully KS: Homocysteine, vitamins, and vascular disease prevention. Am J Clin Nutr. 2007, 86 (5): 1563S-1568S.PubMedGoogle Scholar
- Tucker KL, Hannan MT, Qiao N, Jacques PF, Selhub J, Cupples LA, Kiel DP: Low plasma vitamin B12 is associated with lower BMD: the Framingham Osteoporosis Study. J Bone Miner Res. 2005, 20 (1): 152-158. 10.1359/jbmr.2005.20.1.152.View ArticlePubMedGoogle Scholar
- Vaes BL, Lute C, van der Woning SP, Piek E, Vermeer J, Blom HJ, Mathers JC, Muller M, de Groot LC, Steegenga WT: Inhibition of methylation decreases osteoblast differentiation via a non-DNA-dependent methylation mechanism. Bone. 2010, 46 (2): 514-523. 10.1016/j.bone.2009.09.033.View ArticlePubMedGoogle Scholar
- Corazza GR, Frazzoni M, Gatto MR, Gasbarrini G: Ageing and small-bowel mucosa: a morphometric study. Gerontology. 1986, 32 (1): 60-65.View ArticlePubMedGoogle Scholar
- Holt PR, Pascal RR, Kotler DP: Effect of aging upon small intestinal structure in the Fischer rat. J Gerontol. 1984, 39 (6): 642-647. 10.1093/geronj/39.6.642.View ArticlePubMedGoogle Scholar
- Lipski PS, Bennett MK, Kelly PJ, James OF: Ageing and duodenal morphometry. J Clin Pathol. 1992, 45 (5): 450-452. 10.1136/jcp.45.5.450.View ArticlePubMedPubMed CentralGoogle Scholar
- Warren PM, Pepperman MA, Montgomery RD: Age changes in small-intestinal mucosa. Lancet. 1978, 2 (8094): 849-850.View ArticlePubMedGoogle Scholar
- Lang PO, Govind S, Michel JP, Aspinall R, Mitchell WA: Immunosenescence: Implications for vaccination programmes in adults. Maturitas. 2011, 68 (4): 322-330. 10.1016/j.maturitas.2011.01.011.View ArticlePubMedGoogle Scholar
- Ostan R, Bucci L, Capri M, Salvioli S, Scurti M, Pini E, Monti D, Franceschi C: Immunosenescence and immunogenetics of human longevity. Neuroimmunomodulation. 2008, 15 (4–6): 224-240.View ArticlePubMedGoogle Scholar
- Chung HY, Cesari M, Anton S, Marzetti E, Giovannini S, Seo AY, Carter C, Yu BP, Leeuwenburgh C: Molecular inflammation: underpinnings of aging and age-related diseases. Ageing Res Rev. 2009, 8 (1): 18-30. 10.1016/j.arr.2008.07.002.View ArticlePubMedGoogle Scholar
- Jylhava J, Hurme M: Gene variants as determinants of longevity: focus on the inflammatory factors. Pflugers Arch. 2010, 459 (2): 239-246. 10.1007/s00424-009-0726-3.View ArticlePubMedGoogle Scholar
- Iannitti T, Palmieri B: Inflammation and genetics: an insight in the centenarian model. Hum Biol. 2011, 83 (4): 531-559. 10.3378/027.083.0407.View ArticlePubMedGoogle Scholar
- Rakoff-Nahoum S, Bousvaros A: Innate and adaptive immune connections in inflammatory bowel diseases. Curr Opin Gastroenterol. 2010, 26 (6): 572-577. 10.1097/MOG.0b013e32833f126d.View ArticlePubMedGoogle Scholar
- Woodmansey EJ: Intestinal bacteria and ageing. J Appl Microbiol. 2007, 102 (5): 1178-1186. 10.1111/j.1365-2672.2007.03400.x.View ArticlePubMedGoogle Scholar
- Biagi E, Candela M, Franceschi C, Brigidi P: The aging gut microbiota: new perspectives. Ageing Res Rev. 2011, 10 (4): 428-429. 10.1016/j.arr.2011.03.004.View ArticlePubMedGoogle Scholar
- Yasui Y, Tanaka T: Protein expression analysis of inflammation-related colon carcinogenesis. J Carcinog. 2009, 8: 10-10.4103/1477-3163.51851.View ArticlePubMedPubMed CentralGoogle Scholar
- Hussain SP, Hofseth LJ, Harris CC: Radical causes of cancer. Nat Rev Cancer. 2003, 3 (4): 276-285. 10.1038/nrc1046.View ArticlePubMedGoogle Scholar
- Lashner BA, Provencher KS, Bozdech JM, Brzezinski A: Worsening risk for the development of dysplasia or cancer in patients with chronic ulcerative colitis. Am J Gastroenterol. 1995, 90 (3): 377-380.PubMedGoogle Scholar
- Fearon ER: Molecular genetics of colorectal cancer. Annu Rev Pathol. 2011, 6: 479-507. 10.1146/annurev-pathol-011110-130235.View ArticlePubMedGoogle Scholar
- McCart AE, Vickaryous NK, Silver A: Apc mice: models, modifiers and mutants. Pathol Res Pract. 2008, 204 (7): 479-490. 10.1016/j.prp.2008.03.004.View ArticlePubMedGoogle Scholar
- Clapper ML, Cooper HS, Chang WC: Dextran sulfate sodium-induced colitis-associated neoplasia: a promising model for the development of chemopreventive interventions. Acta Pharmacol Sin. 2007, 28 (9): 1450-1459. 10.1111/j.1745-7254.2007.00695.x.View ArticlePubMedGoogle Scholar
- Bissahoyo A, Pearsall RS, Hanlon K, Amann V, Hicks D, Godfrey VL, Threadgill DW: Azoxymethane is a genetic background-dependent colorectal tumor initiator and promoter in mice: effects of dose, route, and diet. Toxicological sciences: an official journal of the Society of Toxicology. 2005, 88 (2): 340-345. 10.1093/toxsci/kfi313.View ArticleGoogle Scholar
- Carmona FJ, Esteller M: Epigenomics of human colon cancer. Mutat Res. 2010, 693 (1–2): 53-60.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1755-8794/5/38/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.