Infection Susceptibility in Gastric Intrinsic Factor (Vitamin B12)-Defective Mice Is Subject to Maternal Influences

Lynda Mottram; Anneliese O Speak; Reza M Selek; Emma L Cambridge; Zoe McIntyre; Leanne Kane; Subhankar Mukhopadhyay; Carolyn Grove; Amy Colin; Cordelia Brandt; Maria A Duque-Correa; Jessica Forbester; Tu Anh Pham Nguyen; Christine Hale; George S Vasilliou; Mark J Arends; Brendan W Wren; Gordon Dougan; Simon Clare

doi:10.1128/mBio.00830-16

. 2016 Jun 21;7(3):e00830-16. doi: 10.1128/mBio.00830-16

Infection Susceptibility in Gastric Intrinsic Factor (Vitamin B₁₂)-Defective Mice Is Subject to Maternal Influences

Lynda Mottram ^a, Anneliese O Speak ^a, Reza M Selek ^b,^c, Emma L Cambridge ^a, Zoe McIntyre ^a, Leanne Kane ^a, Subhankar Mukhopadhyay ^a, Carolyn Grove ^a, Amy Colin ^a, Cordelia Brandt ^a, Maria A Duque-Correa ^a, Jessica Forbester ^a, Tu Anh Pham Nguyen ^a, Christine Hale ^a, George S Vasilliou ^a, Mark J Arends ^d, Brendan W Wren ^e, Gordon Dougan ^a, Simon Clare ^a,^✉

PMCID: PMC4916386 PMID: 27329747

ABSTRACT

Mice harboring a mutation in the gene encoding gastric intrinsic factor (Gif), a protein essential for the absorption of vitamin B₁₂/cobalamin (Cbl), have potential as a model to explore the role of vitamins in infection. The levels of Cbl in the blood of Gif^tm1a/tm1a mutant mice were influenced by the maternal genotype, with offspring born to heterozygous (high Cbl, F₁) mothers exhibiting a significantly higher serum Cbl level than those born to homozygous (low Cbl, F₂) equivalents. Low Cbl levels correlated with susceptibility to an infectious challenge with Salmonella enterica serovar Typhimurium or Citrobacter rodentium, and this susceptibility phenotype was moderated by Cbl administration. Transcriptional and metabolic profiling revealed that Cbl deficient mice exhibited a bioenergetic shift similar to a metabolic phenomenon commonly found in cancerous cells under hypoxic conditions known as the Warburg effect, with this metabolic effect being exacerbated further by infection. Our findings demonstrate a role for Cbl in bacterial infection, with potential general relevance to dietary deficiency and infection susceptibility.

IMPORTANCE

Malnutrition continues to be a major public health problem in countries with weak infrastructures. In communities with a high prevalence of poor diet, malnourishment and infectious disease can impact vulnerable individuals such as pregnant women and children. Here, we describe a highly flexible murine model for monitoring maternal and environmental influences of vitamin B₁₂ metabolism. We also demonstrate the potential importance of vitamin B₁₂ in controlling susceptibility to bacterial pathogens such as C. rodentium and S. Typhimurium. We postulate that this model, along with similarly vitamin deficient mice, could be used to further explore the mechanisms associated with micronutrients and susceptibility to diseases, thereby increasing our understanding of disease in the malnourished.

INTRODUCTION

Clinical and epidemiological studies have demonstrated an association of malnutrition, dietary deficiency, and infection (1, 2). Infections are more frequent and can be more chronic in primary malnourished individuals (2, 3), with evidence suggesting that infection further weakens the host by reducing nutrient uptake and impeding the ability to mount an effective immune response (4 –6). However, relatively little is known about the physiological and immunological signatures linking general malnutrition or specific dietary deficiencies to infection susceptibility.

Vitamin B₁₂ (cobalamin [Cbl]) serves as an essential cofactor in the cellular growth of most prokaryotic organisms. While bacterial species such as Escherichia coli and Salmonella enterica have the ability to produce Cbl de novo anaerobically, mammals obtain Cbl exclusively from animal protein dietary sources (7). Mammalian Cbl absorption is a highly specific process, with the secreted protein gastric intrinsic factor (Gif) being responsible for transporting Cbl through the small intestine and facilitating endocytosis in the distal ileum (8). In humans, Cbl deficiency is linked to a variety of clinical conditions, including megaloblastic anemia, optic atrophy, degeneration of the spinal cord, renal abnormalities, and malabsorption (8 –11). The impact of Cbl deficiency is likely multifactorial, as it normally plays a role in cellular metabolism with DNA stress, cellular oxidative damage, alterations in odd-chain fatty acid and cholesterol synthesis, and anaplerosis as consequences (8, 12 –15).

We have recently shown that mice lacking Gif exhibit significant growth retardation and low bone mass, with the penetrance of this phenotype showing maternal influences (16). Here we characterize the susceptibility of this mouse line to different infection challenges, highlighting maternal and metabolic influences on serum Cbl levels and susceptibility.

RESULTS

Gif-deficient mice were identified as part of a high-throughput screen as susceptible to a bacterial challenge.

By high-throughput screening, we challenge small groups of novel reporter-tagged knockout mouse lines with different pathogens (17) (http://www.mousephenotype.org). One of the lines we screened harbored a defined mutation in the gene encoding Gif, a glycoprotein regulating the highly specific intestinal endocytosis of Cbl. Gif^tm1a/tm1a mice exhibit altered susceptibility to both S. enterica serovar Typhimurium and Citrobacter rodentium challenges (http://www.mousephenotype.org/data/genes/MGI:1202394). These Gif mutant mice were generated on a C57BL/6N background by using a knockout first promoter-driven allele targeting Gif intron 5 on chromosome 19 (see Text S1 in the supplemental material for further details). Transcriptional and immunohistological analyses showed that Gif expression was abolished in Gif^tm1a/tm1a mice and restricted to the stomachs of wild-type mice (16) (Fig. 1a shows the immunohistochemical analysis results obtained).

FIG 1 — *Gif*^tm1a/tm1a mice exhibit signatures of Cbl deficiency. (a) Immunofluorescence analysis of the glandular stomach regions of wild-type (i) and *Gif*^tm1a/tm1a (ii) mice stained (red) for the presence of Gif with specific antiserum (×400 magnification). (b) Representative photograph of 8-week-old *Gif*^tm1a/tm1a and wild-type pups from *Gif*^tm1a/tm1a (left), *Gif*^tm1a/+(middle), or wild-type (right) dams. (c) Mean body weights of F₁ *Gif*^tm1a/tm1a (red triangles), F₂ *Gif*^tm1a/tm1a (purple triangles), and wild-type (blue circles) mice between 3 and 16 weeks of age. (d) Blood plasma Cbl concentrations *Gif*^tm1a/tm1a and wild-type mice. Dashed lines show the detection limits of the analyzer. Black bars represent geometric mean values. ***, P < 0.001; **, P < 0.01; *, P < 0.05 (ANOVA with Dunn’s multiple-comparison *post hoc* test).

Subsequent breeding identified two phenotypically distinct types of Gif^tm1a/tm1a mice. F₁ Gif^tm1a/tm1a mice resulting from Gif^tm1a/+ × Gif^tm1a/+ matings (Fig. 1b) were indistinguishable from heterozygous Gif^tm1a/+ mice or their wild-type counterparts with respect to multiple characteristics, including their susceptibility to either an S. Typhimurium or a C. rodentium challenge (data not shown). In contrast, F₂ Gif^tm1a/tm1a mice that resulted from Gif^tm1a/tm1a × Gif^tm1a/tm1a matings exhibited stunted growth (Fig. 1b and c) and enhanced susceptibility to both S. Typhimurium and C. rodentium challenges. We therefore examined these phenotypic characteristics further.

F₂ Gif^tm1a/tm1a mice are deficient in Cbl and have alterations in red blood cell and plasma chemistry.

To ascertain if Gif^tm1a/tm1a mice were Cbl deficient, we measured the blood plasma Cbl concentrations of wild-type and Gif^tm1a/tm1a mice (Fig. 1d). We found that all of the wild-type mice exhibited high plasma Cbl concentrations (≥2,000 ng/liter), with F₁ Gif^tm1a/tm1a mice showing various levels of blood plasma Cbl deficiency. However, blood plasma from F₂ Gif^tm1a/tm1a mice consistently exhibited at least 20-fold lower Cbl levels than that from their wild-type counterparts (Fig. 1d). Further blood analysis showed that naive F₂ Gif^tm1a/tm1a mice exhibited phenotypes similar to those of humans with severe Cbl deficiency (9, 11), with these F₂ mice having consistently lower erythrocyte counts (see Fig. S1b, part i, in the supplemental material) and a greater mean corpuscular volume (MCV; see Fig. S1b, part ii) than equivalent F₁ Gif^tm1a/tm1a and wild-type mice. Moreover, megakaryocytes found in the spleens of F₂ Gif^tm1a/tm1a mice were often hyperlobulated with hypersegmented nuclei indicative of cell cycle irregularities compared to wild-type cells (see Fig. S1a) (11).

Furthermore, in comparison to blood plasma collected from equivalent F₁ Gif^tm1a/tm1a and wild-type mice, blood plasma from F₂ Gif^tm1a/tm1a mice exhibited alterations in multiple clinical chemistry parameters (Fig. S1c). We observed that the concentrations of iron, high-density lipoproteins, cholesterol, as well as albumin, glucose, and glycerol, were significantly lower in the blood plasma of F₂ Gif^tm1a/tm1a mice (Fig. S1c, parts i to vi). Interestingly the level of urea, a clinical marker of muscle damage, was found to be significantly higher in the blood plasma of F₂ Gif^tm1a/tm1a mice than in that of F₁ Gif^tm1a/tm1a and wild-type mice (see Fig. S2c, part vii, in the supplemental material).

F₂ Gif^tm1a/tm1a mice are hypersusceptible to C. rodentium and S. Typhimurium challenges.

When groups of F₂ Gif^tm1a/tm1a and wild-type mice were challenged with C. rodentium, 60% of the F₂ Gif^tm1a/tm1a mice succumbed to infection by day 14 postinfection (p.i.), compared to none of the wild-type mice (Fig. 2a, part i). Although the enumeration of C. rodentium was statistically significantly higher in all of the organs of the challenged F₂ Gif^tm1a/tm1a mice than in the challenged wild-type mice at day 14 p.i. (Fig. 2a, part ii), the two groups had similar colon weights and general patterns of colonic hyperplasia (see Fig. S2 in the supplemental material). Significantly, however, C. rodentium was consistently found (P < 0.001) in the livers of F₂ Gif^tm1a/tm1a mice (Fig. 2a, part ii). Furthermore, other bacterial taxa, such as Staphylococcus and Escherichia, were also present in their livers, suggesting that polymicrobial sepsis was occurring after a C. rodentium challenge in these F₂ Gif^tm1a/tm1a mice (data not shown). Importantly, bacteria were not generally detected in the livers of wild-type mice before or after a C. rodentium challenge.

FIG 2 — F₂ *Gif*^tm1a/tm1a mice are susceptible to *C. rodentium* and S. Typhimurium pathogen challenges. (a, part i) Kaplan-Meier curve showing percent survival following infection of F₂ *Gif*^tm1a/tm1a and wild-type mice with *C. rodentium* (n = 8). (a, part ii) Enumeration of *C. rodentium* bacteria in cecal, colon, spleen, and liver tissues of surviving F₂ *Gif*^tm1a/tm1a and wild-type mice at day 14 p.i. (b, part i) Kaplan-Meier curve showing percent survival following infection of F₂ *Gif*^tm1a/tm1a and wild-type mice with S. Typhimurium (n = 8). (b, part ii) Enumeration of S. Typhimurium bacteria in the spleens and livers of F₂ *Gif*^tm1a/tm1a and wild-type mice at day 14 p.i. Gray circles represent wild-type mice. Black triangles represent F₂ *Gif*^tm1a/tm1a mice. Black bars represent geometric mean values. ***, P < 0.001; **, P < 0.01; *, P < 0.05 (ANOVA with Dunn’s multiple-comparison *post hoc* test).

Similar groups of wild-type and F₂ Gif^tm1a/tm1a mice were also challenged with moderately attenuated S. Typhimurium M525. F₂ Gif^tm1a/tm1a mice showed signs of salmonellosis by day 4 p.i., with all mice having to be sacrificed between days 6 and 14 p.i. (Fig. 2b, part i). In contrast, wild-type mice exhibited little sign of disease and survived the challenge. Interestingly, the S. Typhimurium burdens in the spleens and livers of F₂ Gif^tm1a/tm1a and wild-type mice were comparable at day 14 p.i. (Fig. 2b, part ii). Thus, overwhelming S. Typhimurium burdens were unlikely to be responsible for the disease in F₂ Gif^tm1a/tm1a mice.

Histopathological signatures are observed in F₂ Gif^tm1a/tm1a mice before and after a pathogen challenge.

A detailed histopathological analysis of tissues from naive and pathogen challenged F₂ Gif^tm1a/tm1a and wild-type mice was performed. The general colonic and splenic morphology of naive F₂ Gif^tm1a/tm1a mice was predominantly indistinguishable from that of wild-type mice (see Fig. S3a and b in the supplemental material). In contrast, F₂ Gif^tm1a/tm1a mouse livers had hepatocytes with enlarged nuclei and abnormal mitotic figures (Fig. 3a, part ii), indicating liver cell karyomegaly and mitotic impairment (18).

Although moderate inflammation and colonic pathology were present in wild-type mice at day 14 after a C. rodentium challenge (Fig. 3b, part i), F₂ Gif^tm1a/tm1a mice developed a more severe epithelial inflammatory cell infiltration, accompanied by crypt abscesses containing neutrophils and intraepithelial lymphocytes in the mucosa and increased inflammation in the submucosa (Fig. 3b, part ii, for a higher magnification, and Fig. S3c, part i, in the supplemental material). Moreover, while the livers of wild-type mice challenged with C. rodentium showed no obviously enhanced inflammatory cell infiltrate, challenged F₂ Gif^tm1a/tm1a mice exhibited rich inflammatory clusters particularly around the hepatic portal triad, with a thrombus occasionally present within the hepatic portal vein (see Fig. S3c, part ii).

The liver histology of F₂ Gif^tm1a/tm1a mice challenged with S. Typhimurium exhibited evidence of significantly more damage than that of wild-type mice (Fig. 3c). Both groups of infected mice harbored clusters of macrophages forming granulomas; however, there were sizable areas of necrosis and regions of foamy fatty acid hepatocytes (fat vacuoles indicating metabolic stress) in the S. Typhimurium challenged F₂ Gif^tm1a/tm1a mice (Fig. 3c, part ii). The spleens of wild-type S. Typhimurium infected mice displayed a normal distribution of red and white pulp, but similarly challenged F₂ Gif^tm1a/tm1a mice exhibited increased extramedullary hematopoiesis with scattered large areas of necrosis with foci of macrophages in the red pulp compacting the white pulp (see Fig. S3d in the supplemental material).

Immune profiling of naive and S. Typhimurium infected F₂ Gif^tm1a/tm1a mice.

We performed immune profiling before and after a challenge to identify immunological signatures associated with F₂ Gif^tm1a/tm1a mouse susceptibility to S. Typhimurium (19). While we found that the percentages of peripheral blood phagocytes and natural killer cells were broadly comparable (http://www.mousephenotype.org/data/genes/MGI:1202394), we did observe slight differences in the percentages of peripheral blood CD4⁺ and CD8⁺ T cells and CD4⁺ CD25⁺ regulatory T cells (Fig. 4a, part ii, and Fig. S4a in the supplemental material) in F₂ Gif^tm1a/tm1a mice and equivalent populations found in wild-type mice. However, when spleen leukocyte populations were analyzed at day 9 after S. Typhimurium infection, F₂ Gif^tm1a/tm1a mouse T cell populations (Fig. 4b), as well as all of the other lymphocyte populations analyzed (see Fig. S4b), were comparable to those of similarly infected wild-type mice. Similarly, blood serum cytokine and chemokine analysis revealed no obvious differences between the concentrations of 25 different cytokines found in naive or infected F₂ Gif^tm1a/tm1a mice and those in wild-type mice (see Text S1 in the supplemental material for further details).

FIG 4 — Immune cell profiling of naive and S. Typhimurium-challenged F₂ *Gif*^tm1a/tm1a and wild-type mice. (a) Analysis of peripheral blood leukocytes from 16-week-old naive mice showing percentages of CD3⁺ (i) and CD4⁺ (ii) T cells. (b) Analysis of spleen cells from S. Typhimurium-infected mice on day 14 p.i. for total CD3⁺ (i) and total CD4⁺ (ii) T cells. Samples were analyzed on a BD LSR Fortessa or BD LSR II apparatus. Interpretation of the results was performed with FlowJo v9. Black bars represent geometric mean values. *, P < 0.05 (one-way ANOVA followed by Dunn’s multiple-comparison *post hoc* test).

As macrophages are critical for the control of Salmonella replication and the homeostasis of granulomas in vivo (20, 21), we isolated macrophages from the peritoneal cavities of naive F₂ Gif^tm1a/tm1a and wild-type mice to evaluate their susceptibility to S. Typhimurium. We found that the ability of F₂ Gif^tm1a/tm1a macrophages to kill S. Typhimurium was not impaired and was comparable to that of wild-type macrophages. Interestingly, we found that F₂ Gif^tm1a/tm1a macrophages expressed higher levels of arginase 1 (see Fig. S4c in the supplemental material), a marker of alternatively activated M2 macrophages (6, 22).

Transcriptional profiling indicates potential cellular, metabolic, and anaplerosis pathway abnormalities in F₂ Gif^tm1a/tm1a mice.

To identify changes in gene expression that could have an impact on the phenotype of F₂ Gif^tm1a/tm1a mice, microarray analysis was performed with mRNA prepared from the livers and colons of F₂ Gif^tm1a/tm1a and wild-type mice with or without a pathogen challenge. Genes differentially expressed (P < 0.05 with a 0.8-log-fold difference between F₂ Gif^tm1a/tm1a and wild-type mice) under each condition were further analyzed by Ingenuity Pathway Analysis (IPA; Qiagen, Redwood City, CA), enabling the clustering of dysregulated mRNAs to specific biological and canonical pathways. Further, IPA upstream regulator analysis was used to predict potential upstream transcriptional regulators likely controlling these biological function and canonical pathways in the transcriptional data of the F₂ Gif^tm1a/tm1a mice.

Generally, differentially expressed genes in the colons of naive F₂ Gif^tm1a/tm1a mice were related to lipid metabolism, cell-to-cell signaling, molecular transport, small molecule biochemistry, and cell death and survival processes (see Dataset S1b in the supplemental material). Upstream regulator analysis predicted that genes associated with glycolysis regulation (Por, Clock, Cry1, and Cry2) (23, 24) (see Dataset S1a) might be controlling the functional gene profile in the colons of naive F₂ Gif^tm1a/tm1a mice. Functional gene categories in the livers of naive F₂ Gif^tm1a/tm1a mice were largely associated with lipid, vitamin, mineral, and nucleic acid metabolism, as well as cellular molecular transport (see Dataset S1c), with upstream regulator analysis predicting glycolysis and fatty acid synthesis associated genes (Gpd1, Slc25a13, RorC, RorA, and Acox1; see Dataset S1a) as potential regulators of disrupted cellular and biological functions in the livers of naive F₂ Gif^tm1a/tm1a mice. In particular, Acox1 (encodes acyl coenzyme A [acyl-CoA] oxidase 1, palmitoyl), a peroxisome beta-oxidation fatty acid pathway regulator (25, 26), was predicted by IPA to be the most statically activated of the upstream transcriptional regulators (see Dataset S1a).

Of the differently expressed genes identified in colonic mRNA of F₂ Gif^tm1a/tm1a mice challenged with C. rodentium, 60 were functionally associated with cell death and survival, with IPA predicting functional pathways associated with organismal injury and renal failure to be the most activated of these categories (see Dataset S1d in the supplemental material). Upstream transcriptional regulator analysis highlighted Ptger4, a prostaglandin regulator of mucosal integrity and suppressor of innate immunity (27), as comparatively activated (see Dataset S1a), with Cfs2, a modulator of epithelial cell homeostasis, as well as classical M1 macrophage activation (28, 29), as likely inhibiting canonical pathways in the colons of C. rodentium-infected F₂ Gif^tm1a/tm1a mice (see Dataset S1a). The top five functional gene categories in hepatic mRNA of C. rodentium-infected F₂ Gif^tm1a/tm1a mice were predicted to be related to cellular function and maintenance, movement, development, growth and proliferation, and signaling, with our analysis showing many of these associated genes relatively downregulated (see Dataset S1e). A key transcriptional regulator was predicted to be Acox1 (see Dataset S1a).

Finally, IPA of the hepatic mRNA data of differentially expressed genes found in S. Typhimurium infected F₂ Gif^tm1a/tm1a mice was performed (see Dataset S1a and f in the supplemental material). Consistent with the other IPA analyses (see Dataset S1a), Acox1 was predicted to be a key regulatory element. Functional and canonical pathway analysis identified differentially expressed genes as associated with lipid, drug, and carbohydrate metabolism; small-molecule biochemistry; and cellular development. IPA indicated that functional pathways associated with fatty acid metabolism were overactivated (P = 4.39e⁻⁰⁶; see Dataset S1e).

Blood metabolic profiling identifies F₂ Gif^tm1a/tm1a mice as having abnormal glycolytic pathways and cellular energy homeostasis pathways.

To identify metabolites that might be influenced downstream of the changes in transcriptional patterns observed in the tissues of F₂ Gif^tm1a/tm1a mice, metabotyping was performed by nuclear magnetic resonance (NMR) spectroscopy of blood serum taken from F₂ Gif^tm1a/tm1a and wild-type mice before and after an S. Typhimurium challenge. By performing principal component analysis (PCA), a multivariate data analysis method, we could distinguish the blood serum metabolic profiles of naive (Fig. 5a), as well as S. Typhimurium infected (Fig. 5b) F₂ Gif^tm1a/tm1a and wild-type mice.

FIG 5 — Metabotyping of blood serum from F₂ *Gif*^tm1a/tm1a and wild-type mice reveals metabolic abnormalities. (a) PCA score plot separating naive F₂ *Gif*^tm1a/tm1a mice (green circles) from naive wild-type mice (blue circles) with 92% of the variables explained (R²_cum) by using the first four components with 72% predictability minus Q2. (b) Multivariate data analysis results comparing the blood serum of uninfected F₂ *Gif*^tm1a/tm1a (ui_gif; red circles) and wild-type (ui_wt; yellow circles) mice and that of S. Typhimurium-infected F₂ *Gif*^tm1a/tm1a (si_gif; green circles) and wild-type (si_wt; blue circles) mice. Principal component 1 discriminates on the basis of the presence or absence of infection, while principal component 2 separates different mouse genotypes, regardless of infection status. Ninety percent of the variables (R²_cum) were explained by using the first five components with 73% predictability.

As expected, uninfected wild-type mice demonstrated blood metabolic patterns of normal cellular homeostasis, harboring higher levels of fatty acids and glucose (Table 1). In contrast, naive F₂ Gif^tm1a/tm1a mice harbored a metabolic profile with similarities to the Warburg effect (30). This profile included higher levels of lactate and lower quantities of glucose, indicating that lactic acid fermentation was occurring to generate energy for cellular homeostasis. We also identified biomarkers of alternative cellular energy sourcing such a decrease amount of fatty acids and an increased quantity of citrate-aspartate, metabolites commonly associated with increased glycolysis and acetyl-CoA production (Table 1; see Fig. S5, in the supplemental material). Furthermore, we observed a high level of methylmalonate, a known plasma marker of Cbl deficiency, in the blood of naive F₂ Gif^tm1a/tm1a mice, suggesting that Cbl deficiency could be disrupting the trichloroacetic acid (TCA) cycle (14, 15).

TABLE 1 .

Summary of the relative metabolic differences in the blood serum of naive and S. Typhimurium-infected F₂ Gif^tm1a/tm1a and wild-type mice^a

Metabolite(s)	Chemical shift(s) (ppm)	Fold change(s)^b
Metabolite(s)	Chemical shift(s) (ppm)	Naive	Infected
Fatty acids	Several	↓−1.2	—, ↑1.4^c
Putrescine-cadaverine	1.75, 3.04; 1.48, 3.80	—	↑
Glucose	3.24, 3.46, 3.52, 3.73; 3.83, 3.88, 5.22	↓−1.2	↓−1.3
Fucose	1.22, 1.25, 3.44, 3.60, 3.80, 5.25	—	↓−1.5
Acetate	1.93	↑	—
Alanine	1.49, 1.51, 3.81	↑	—
Taurine-betaine	3.27, 3.44; 3.25, 3.90	↑	↓−1.3, −2^c
Citrate-aspartate	2.55, 2.67; 2.64, 2.70	↑1.2	—
Formate	8.47	↑	—
Glutamate-glutamine	(2.04, 2.12), (2.34, 2.39), 3.74; (2.00, 24.00, 2.48), 3.78	↓	—
Isoleucine	0.98, 1.01, 3.66	↓	—
Leucine	0.96, 1.72, 3.75	↓	↓−1.6
Methylmalonate	1.22, 3.18	↑1.3	↑1.2
Phenylacetylglycine	3.68, 3.76, 7.40	↑	↑
Valine	1.01, 1.06, 2.29, 3.61	—	↑
Adipate	1.56, 2.17	—	—, ↑1.6^c
3-Hydroxybutyrate	1.21, (2.32, 2.42), 4.16	—	↓
Butyrate	0.89, 1.56, 2.15	—	↓
Lactate	1.34, 4.13	↑1.2	—
Pyruvate-succinate	2.39, 2.41	↑	—
Choline-phosphocholine- glycerophosphocholine	3.20, 3.21, 3.22	—	↑
Malate	(2.36, 2.42), (2.66, 2.70), 4.30	—	↑

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Fold change, >1.2; P < 0.05.

Shown are fold (>1.2) and significant (P < 0.05) changes in metabolite levels in F₂ Gif^tm1a/tm1a and wild-type mice.

Shown are fold (>1.2) and significant (P < 0.05) changes in metabolite levels in naive versus S. Typhimurium-infected F₂ Gif^tm1a/tm1a mice. Symbols: —, no significant fold change (>1.2); ↑ or ↓, relative increase or decrease in metabolites from PCA loading plots. These levels were estimated from relative intensities (median) of ¹H NMR spectra following spectral normalization.

Next, we metabotyped blood serum from wild-type and F₂ Gif^tm1a/tm1a mice at day 9 after an S. Typhimurium challenge (Fig. 5b). S. Typhimurium is known to cover its metabolic needs during infection by upregulating host cell glycolysis and associated fatty acid beta-oxidation pathways (22, 31, 32), with the blood of infected wild-type mice harboring relatively higher levels of metabolites indicative of beta oxidation activity such as 3-hydroxybutyrate and butyrate and adipate (Table 1). In contrast, challenged F₂ Gif^tm1a/tm1a mice exhibited biomarkers associated with severe changes in cellular energy homeostasis and glycolytic processes, as well as metabolic starvation (30, 33). We identified lower levels of blood sugars (glucose and fucose), with taurine (Table 1), and leucine, metabolites thought to regulate maurine skeletal function as well as glucose and lipid homeostasis (12, 34) reduced in the blood of infected F₂ Gif^tm1a/tm1a mice. We also observed biomarkers of increased acetyl-CoA and fatty acid synthesis (fatty acids, valine, and phenylacetylglycine), and increased oxidative stress (adipate, taurine-betaine, chlorine, and malate) (30). Furthermore, and comparative to their uninfected F₂ Gif^tm1a/tm1a counterparts, the plasma Cbl marker methylmalonate was observed at high levels in the blood metabolite profile of infected F₂ Gif^tm1a/tm1a mice (Table 1).

Cbl supplementation reverses the S. Typhimurium susceptibility of F₂ Gif^tm1a/tm1a mice.

To evaluate if F₂ Gif^tm1a/tm1a Cbl deficiency was directly impacting their hypersusceptibility to C. rodentium and S. Typhimurium infection, we supplemented F₂ Gif^tm1a/tm1a mice with Cbl in a series of subcutaneous injections prior to a challenge and compared their susceptibility to an S. Typhimurium M525 challenge with that of untreated F₂ Gif^tm1a/tm1a mice. As expected, untreated F₂ Gif^tm1a/tm1a mice showed signs of salmonellosis by day 4 p.i. and had to be sacrificed by day 7 p.i. (Fig. 6). In contrast, equivalent Cbl-treated F₂ Gif^tm1a/tm1a mice exhibited limited signs of salmonellosis, survived the challenge, and were indistinguishable from their wild-type counterparts. Thus, Cbl deficiency in these F₂ Gif^tm1a/tm1a mice is likely directly influencing their susceptibility to S. Typhimurium infection.

FIG 6 — Cbl supplementation of F₂ *Gif*^tm1a/tm1a mice alters their susceptibility to an S. Typhimurium challenge. Shown is a Kaplan-Meier curve of percent survival of F₂ *Gif*^tm1a/tm1a mice left untreated or treated with cyanocobalamin and then infected with S. Typhimurium (n = 8).

DISCUSSION

By exploiting a novel Gif mutant mouse line, we have demonstrated a critical role for Cbl in controlling susceptibility to infection by two different bacterial pathogens, C. rodentium and S. Typhimurium. We link this severe phenotype to likely disruptions in glycolysis, fatty acid synthesis, and energy homeostasis processes in Cbl-defective mice (12, 14, 30, 31, 33), with infection susceptibility further being influenced by the genotype of mothers, a phenomenon linked to their ability to transfer Cbl to their offspring (35).

The results obtained with Gif deficient mice mimic aspects of the clinical phenotypes associated with Cbl deficiency in humans and other mammals. For example, children born to Cbl depleted mothers exhibit stunted growth (10), similar to that observed in F₂ Gif^tm1a/tm1a mice and infant rats and mice when Cbl was removed from their diet (16, 35, 36). Further, we demonstrate how Cbl deficiency can likely disrupt mammalian cellular homeostasis processes. F₂ Gif^tm1a/tm1a mice exhibited blood and histopathological signatures associated with DNA abnormalities such as megaloblastic anemia, abnormal mitotic figures, and cellular oxidative damage, phenotypes commonly associated with Cbl deficiency in humans and infant mice (8, 9, 11, 13). By metabolomic and transcriptional profiling, we also found evidence that succinyl-CoA, a Cbl by-product and an essential TCA cycle regulator, was inhibited in F₂ Gif^tm1a/tm1a mice, likely leading to increased glycolysis and fatty acid synthesis and other metabolic activities commonly associated with the Warburg effect (12 –15, 30).

We were unable to detect a clear immunological signature associated with Cbl deficiency in F₂ Gif^tm1a/tm1a mice, even though others have reported that Cbl deficiency affects cytokine and T cell ratios in a uninfected host (37, 38). Clearly, we did not exhaustively screen for immune deficiencies, and further studies in this area are still warranted. However, the macrophage killing activity that is critical for controlling salmonellosis in vivo was not obviously impaired, and immune cell populations and cytokine levels critical for Salmonella control appeared to be broadly similar (19). Interestingly however, and perhaps consistent with the Warburg effect (6), we did identify signatures for alternatively activated M2 macrophages, such as increased expression of arginase 1 by F₂ Gif^tm1a/tm1a mouse macrophages. We therefore concluded, like the authors of a previously published study (22), that this metabolic activation state has little impact on the control of Salmonella replication because these cells were still able to kill salmonellae in vitro.

After C. rodentium infection, F₂ Gif^tm1a/tm1a mice exhibited polymicrobial sepsis, with an overgrowth of C. rodentium. Histopathological examination revealed greater recruitment of inflammatory cells to the colon and liver than similarly infected wild-type mice, with transcriptional profiling suggesting that cellular homeostasis processes are likely disrupted in F₂ Gif^tm1a/tm1a mice after C. rodentium infection. F₂ Gif^tm1a/tm1a mice infected with S. Typhimurium exhibited greater signs of lethargy and morbidity, with severe histopathological damage. As S. Typhimurium utilizes the same fatty acid beta-oxidation and glycolysis pathways that are already dysregulated in F₂ Gif^tm1a/tm1a mice (22, 31, 32), we hypothesize that F₂ Gif^tm1a/tm1a mice are succumbing to S. Typhimurium infection from metabolic starvation, with their metabolomic and transcriptional profile strongly resembling this scenario (33).

This study has further highlighted some of the complex clinical and metabolomic abnormalities associated with Cbl deficiency, demonstrating the importance of Cbl in the mammalian diet. By performing studies on Gif^tm1a/tm1a or other mice with genetic defects associated with nutrient absorption, we can not only gain a better biological understanding of the interplay between nutritional regulation and the immune system but also further understand the pathogenesis associated with specific nutritional dysregulation.

MATERIALS AND METHODS

Animals.

The Gif^{tm1a(KOMP)Wtsi} mouse line was generated on a C57BL/6N genetic background as part of the International Mouse Phenotyping Consortium (http://www.mousephenotyping.org). See Text S1 in the supplemental material for the gene targeting methods used to produce this mouse line. Animals were housed under specific-pathogen-free conditions in HEPA-filtered cages with sterile bedding and given a sterilized standard diet and water ad libitum. All experiments were performed in accordance with United Kingdom Animal (Scientific Procedures) Act 1986.

Hematology and blood chemistry analysis.

Blood was collected under terminal anesthesia into either EDTA-coated tubes or heparinized tubes for plasma or serum preparation. Clinical chemistry analysis of plasma was performed with the Olympus AU400 analyzer (Beckman Coulter Ltd., High Wycombe, United Kingdom). Concentrations of Cbl in plasma were measured with the ADVIA Centaur immunoassay analyzer (Siemens).

Cbl treatment.

Mice were treated subcutaneously with cyanocobalamin (Sigma Aldrich) at 1 mg/ml every 2 weeks for 6 weeks. Mice were left for 1 month before an S. Typhimurium infection challenge.

Cytokine analysis.

Cytokine analysis was performed with the FlexMap 3D (Luminex) machine with a Milliplex Map Mouse Th17 Magnestic Bead Panel 96-well assay kit (Millipore). For method details, as well as a list of the cytokines analyzed, see Text S1 in the supplemental material.

Flow cytometry analysis.

Analysis of peripheral blood leukocytes was performed with heparinized blood collected from 16-week-old mice. Peripheral blood leukocytes, mesenteric lymph nodes, and spleens were prepared and stained for flow cytometry analysis as described in Text S1 in the supplemental material. All samples were analyzed on an LSR II or LSR Fortessa apparatus (BD Biosciences). Data were analyzed with FlowJo v9 software (TreeStar).

Histological analysis.

For histological examination, 5-µm sections of paraffin-embedded tissues were stained with hematoxylin and eosin (Sigma-Aldrich). Sections were examined and scored by a pathologist under blinded conditions. For immunohistochemistry analysis, sections were cut and fixed as described in Text S1 in the supplemental material. Sections were visualized by confocal microscopy (Leica).

NMR analysis.

Blood serum was collected from age- and sex-matched mice (five per group), snap-frozen immediately, and stored at −80°C until analysis. Samples were analyzed with a Bruker ADVANCE III NMR spectrometer to identify metabolic differences between F₂ Gif^tm1a/tm1a and wild-type mice. For further details, see Text S1 in the supplemental material.

Microarray analysis.

mRNA for microarray analysis was prepared as described in Text S1 in the supplemental material. Analysis was performed with the Illumina MouseWG-6 v2.0 Expression BeadChip kit. The data were analyzed with BeadStudio Software (Illumina) to identify genes differently regulated in F₂ Gif^tm1a/tm1a and wild-type mice. Further pathway analysis was performed by IPA (Qiagen, Redwood City, CA) of all of the genes differently expressed in F₂ Gif^tm1a/tm1a and wild-type mice (P < 0.05; log-fold change, 0.8). For further details of the IPA analysis performed, see Text S1 in the supplemental material.

RNA isolation and RT-qPCR of peritoneal macrophages.

Resident peritoneal macrophages were isolated from naive mice by peritoneal lavage. RNA was isolated with the RNeasy minikit (Qiagen) and reverse transcribed with the QuantiTect reverse transcription (RT) kit (Qiagen). RT-quantitative PCR (RT-qPCR) experiments were performed as described in Text S1 in the supplemental material.

Mouse infection challenges.

Background matched wild-type and gif^{tm1a(KOMP)Wtsi} mice 6 to 10 weeks of age were maintained in accordance with United Kingdom Home Office regulations under project license PPL80/2099 and 80/2596 (2596 replaced 2099 upon expiry). The Wellcome Trust Sanger Institute Ethical Review Committee has also reviewed this license. For C. rodentium challenges, mice were infected orally with 0.2 ml of C. rodentium ICC180. For S. Typhimurium challenges, mice were infected intravenously with a sublethal dose of S. Typhimurium M525. All mice were monitored daily for defined humane endpoints in accordance with United Kingdom Home Office license guidelines.

Measurement of pathogen burdens in organs.

Organs were aseptically removed and homogenized mechanically. Viable counts were determined by serially diluting the organ homogenates onto LB agar plates for CFU counting.

Peritoneal macrophage gentamicin protection assay.

Peritoneal macrophages were infected with S. Typhimurium M525 at a multiplicity of infection (MOI) of 20 for 1 h and then treated with gentamicin for another hour. Cells were then washed and incubated in antibiotic-free Opti-MEM (Thermo Fisher) for a further 5 h. For quantitative analysis, cells were lysed in 1% Triton X-100, serially diluted, and plated onto LB plates for CFU counting.

Statistical analysis.

Where not already stated in Text S1 in the supplemental material, the Student t test was performed for experiments comparing two groups. For data with more than two groups, statistical analysis was performed by a nonparametric one-way analysis of variance (ANOVA) with Dunn’s multiple-comparison post hoc test. For comparisons of groups with two or more factors, analysis was performed by two-way ANOVA with the Bonferroni multiple-comparison posttest. P < 0.05 was taken as significant in all cases. All tests were performed with GraphPad Prism 5 (GraphPad Software, Inc., La Jolla, CA).

Microarray data accession numbers.

The microarray data associated with this paper are stored in the ArrayExpress public database (http://www.ebi.ac.uk/arrayexpress) under accession numbers E-MTAB-1879 and E-MTAB-1880.

SUPPLEMENTAL MATERIAL

Text S1

Details of the materials and methods used in this study, including descriptions of the gene targeting and mouse production, Cbl analysis and treatment, hematology and blood chemistry analyses, flow cytometry analysis of immune cell populations, NMR analysis, microarray analysis, mouse infection challenges, measurement of pathogen burdens in organs, histological analysis, cytokine analysis, resident peritoneal macrophage assays, and statistical analyses. Download

Text S1, DOCX file, 0.2 MB^{(185.2KB, docx)}

Dataset S1

Summary of the mRNA transcriptional regulators and specific biological and conical pathways identified as part of IPA. This analysis was performed using microarray data comparing mRNA extracted from F₂ Gif^tm1a/tm1a mice to mRNA extracted from wild-type mice (P < 0.05 with 0.8-log fold change). The mRNA was prepared from the livers and colons of F₂ Gif^tm1a/tm1a and wild-type mice with or without a pathogen challenge. Download

Dataset S1, XLS file, 0.4 MB^{(370.5KB, xls)}

Figure S1

Histological, hematologic, and plasma defects are present in F₂ Gif^tm1a/tm1a mice. (a) Representative hematoxylin and eosin stained spleen sections from naive F₂ gif^tm1a/tm1a and wild-type mice showing that megakaryocytes were often hyperlobulated and hypersegmented in F₂ Gif^tm1a/tm1a mice. Part i, wild-type mice; part ii, F₂ Gif^tm1a/tm1a mice (×400 magnification). (b and c) Hematology and plasma chemistry analyses of F₂ (black triangles), F₁ (gray stars) Gif^tm1a/tm1a, and wild-type (gray circles) mice at 16 weeks of age. (a, part i) Total red blood cell count per microliter, (ii) MCV of red blood cells in femtoliters. (b) Concentrations of iron (millimolar) (i), high density lipoproteins (millimolar) (ii), cholesterol (millimolar) (iii), glucose (nanomolar) (iv), glycerol (nanomolar) (v), albumin (grams per liter) (vi), and urea (nanomolar) (vi) in plasma. Black bars represent geometric mean values. ***, P < 0.001; **, P < 0.01; *, P < 0.05 (ANOVA with Dunn’s multiple-comparison post hoc test). Download

Figure S1, DOCX file, 0.7 MB^{(702.5KB, docx)}

Figure S2

(a) Colon mass (grams) and (b) average colonic crypt length (micrometers) of naive and C. rodentium-infected (day 14 p.i.) F₂ Gif^tm1a/tm1a and wild-type mice. Gray circles represent wild-type mice, and black triangles represent F₂ Gif^tm1a/tm1a mice. Black bars represent geometric mean values. Download

Figure S2, DOCX file, 0.1 MB^{(149.1KB, docx)}

Figure S3

Representative hematoxylin- and eosin-stained sections from naive and infected F₂ Gif^tm1a/tm1a and wild-type mice. (a) Naive wild-type (i) and Gif^tm1a/tm1a (ii) mouse colon tissues (×100 magnification). (b) Naive wild-type (i) and F₂ Gif^tm1a/tm1a (ii) mouse spleen tissues (×100 magnification). (c) F₂ Gif^tm1a/tm1a mice 14 days after C. rodentium infection: i, colonic crypt abscess (*; ×400 magnification); ii, thrombi in the hepatic portal vein (**; ×200 magnification). This was not observed in the livers of wild-type mice (data not shown). (d) Spleen sections from wild-type mice (i) (×100 magnification) and F₂ Gif^tm1a/tm1a mice (ii) on day 14 after S. Typhimurium infection. Asterisks indicate large necrotic areas not seen in wild-type infected mice (×200 magnification). Download

Figure S3, DOCX file, 2.4 MB^{(2.5MB, docx)}

Figure S4

Profiling of immune cells from naive F₁ Gif^tm1a/tm1a (gray stars), F₂ Gif^tm1a/tm1a (black triangles), and wild-type (gray circles) mice. (a) Peripheral blood lymphocyte analysis of percentages of regulatory T cells (i) and CD8⁺ cytotoxic T cells (ii). All samples were analyzed on a BD LSR II analyzer. (b) Analysis of wild-type and Gif^tm1a/tm1a mouse splenocytes on day 14 after S. Typhimurium infection. Shown are the total Gr-1 (i), F4/80 (ii), and B220 (iii) cells. All samples were analyzed on a BD LSR Fortessa analyzer. Interpretation of the results was performed with FlowJo (v9). (c) Resident peritoneal macrophages were isolated from naive wild-type and F₂ Gif^tm1a/tm1a mice, and relative expression of the arginase 1-encoding gene was compared by RT-qPCR. (d) The microbicidal abilities of wild-type and F₂ Gif^tm1a/tm1a mouse macrophages were compared by gentamicin protection assay. Thioglycolate-elicited peritoneal macrophages were infected with S. Typhimurium M525 at an MOI of 20 in serum-free medium, and 5 h after gentamicin treatment, cells were lysed and plated on agar plates in different dilutions and CFU were counted. Black bars represent geometric mean values. Statistical analysis was performed by ANOVA with Dunn’s multiple-comparison post hoc test for panels a and b and Student’s t test for panels c and d. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Download

Figure S4, DOCX file, 0.2 MB^{(256.9KB, docx)}

Figure S5

High-resolution 600-MHz ¹H NMR spectrum of blood serum from F₂ Gif^tm1a/tm1a mice. Peaks: mobile fatty acids and lipoproteins [1, −CH₃/cholesterol; 2, −(CH₂)_n−; 36, −CH₂CH₂CO; 11, −CH₂C═C; 14, −CH₂C═O; 20, ═C-(CH₂)–C═; 25, -N(CH₃)₃]; 3, leucine and isoleucine; 4, valine; 5, 3-hydroxybutyrate; 6, methylmalonate; 7, lactate; 8, alanine; 9, cadaverine-putrescine; 10, acetate; 12, glutamine and glutamate; 13, methionine; 15, 3-hydroxybutyrate; 16, pyruvate; 17, succinate and malate; 18, glutamine; 19, citrate; 21, lysine-cadaverine; 22, creatine; 23, methylmalonate; 24, choline; 26, glucose; 27, glycine; 28, betaine-taurine; 29, serine; 30, phenylacetylglycine; 31, alpha-glucose; 32, mobile unsaturated lipids; 33, fumarate; 34, tyrosine; 35, phenylalanine; 37, allantoin. Download

Figure S5, DOCX file, 0.3 MB^{(303.7KB, docx)}

ACKNOWLEDGMENTS

This work was supported by the Wellcome Trust via grant 098051.

We gratefully thank the Research Support Facility for animal maintenance and welfare. We also thank J. Choudhary for her helpful discussions.

L.M. and S.C. performed most of the experiments and analyzed the data. L.K., A.C., and C.B. assisted with mouse experiments. A.O.S., E.L.C., and Z.M. performed hematology, clinical chemistry, and blood flow analyses. G.S.V. and C.G. performed the blood serum Cbl and hematological analyses. R.M.S. performed the metabolomic metabotyping. S.M., M.A.D.-C., C.H., and J.F. performed the in vitro macrophage assays, staining of tissue, and cytokine analysis. M.A.D.-C. examined the histology. G.D. and B.W.W. oversaw the project. L.M., S.C., and G.D. wrote the manuscript.

Footnotes

Citation Mottram L, Speak AO, Selek RM, Cambridge EL, McIntyre Z, Kane L, Mukhopadhyay S, Grove C, Colin A, Brandt C, Duque-Correa MA, Forbester J, Nguyen TAP, Hale C, Vasilliou GS, Arends MJ, Wren BW, Dougan G, Clare S. 2016. Infection susceptibility in gastric intrinsic factor (vitamin B₁₂)-defective mice is subject to maternal influences. mBio 7(3):e00830-16. doi:10.1128/mBio.00830-16.

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Associated Data

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Supplementary Materials

Text S1

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Dataset S1

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Figure S1

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Figure S2

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Figure S3

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Figure S4

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Figure S5

Figure S5, DOCX file, 0.3 MB^{(303.7KB, docx)}

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PERMALINK

Infection Susceptibility in Gastric Intrinsic Factor (Vitamin B12)-Defective Mice Is Subject to Maternal Influences

Lynda Mottram

Anneliese O Speak

Reza M Selek

Emma L Cambridge

Zoe McIntyre

Leanne Kane

Subhankar Mukhopadhyay

Carolyn Grove

Amy Colin

Cordelia Brandt

Maria A Duque-Correa

Jessica Forbester

Tu Anh Pham Nguyen

Christine Hale

George S Vasilliou

Mark J Arends

Brendan W Wren

Gordon Dougan

Simon Clare

ABSTRACT

IMPORTANCE

INTRODUCTION

RESULTS

Gif-deficient mice were identified as part of a high-throughput screen as susceptible to a bacterial challenge.

FIG 1 .

F2 Giftm1a/tm1a mice are deficient in Cbl and have alterations in red blood cell and plasma chemistry.

F2 Giftm1a/tm1a mice are hypersusceptible to C. rodentium and S. Typhimurium challenges.

FIG 2 .

Histopathological signatures are observed in F2 Giftm1a/tm1a mice before and after a pathogen challenge.

FIG 3 .

Immune profiling of naive and S. Typhimurium infected F2 Giftm1a/tm1a mice.

FIG 4 .

Transcriptional profiling indicates potential cellular, metabolic, and anaplerosis pathway abnormalities in F2 Giftm1a/tm1a mice.

Blood metabolic profiling identifies F2 Giftm1a/tm1a mice as having abnormal glycolytic pathways and cellular energy homeostasis pathways.

FIG 5 .