Manipulation of Host Diet To Reduce Gastrointestinal Colonization by the Opportunistic Pathogen Candida albicans

Kearney T W Gunsalus, Stephanie N Tornberg-Belanger, Nirupa R Matthan, Alice H Lichtenstein, Carol A Kumamoto, Kearney T W Gunsalus, Stephanie N Tornberg-Belanger, Nirupa R Matthan, Alice H Lichtenstein, Carol A Kumamoto

Abstract

Candida albicans, the most common human fungal pathogen, can cause systemic infections with a mortality rate of ~40%. Infections arise from colonization of the gastrointestinal (GI) tract, where C. albicans is part of the normal microflora. Reducing colonization in at-risk patients using antifungal drugs prevents C. albicans-associated mortalities. C. albicans provides a clinically relevant system for studying the relationship between diet and the microbiota as it relates to commensalism and pathogenicity. As a first step toward a dietary intervention to reduce C. albicans GI colonization, we investigated the impact of dietary lipids on murine colonization by C. albicans. Coconut oil and its constituent fatty acids have antifungal activity in vitro; we hypothesized that dietary coconut oil would reduce GI colonization by C. albicans. Colonization was lower in mice fed a coconut oil-rich diet than in mice fed diets rich in beef tallow or soybean oil. Switching beef tallow-fed mice to a coconut oil diet reduced preexisting colonization. Coconut oil reduced colonization even when the diet also contained beef tallow. Dietary coconut oil also altered the metabolic program of colonizing C. albicans cells. Long-chain fatty acids were less abundant in the cecal contents of coconut oil-fed mice than in the cecal contents of beef tallow-fed mice; the expression of genes involved in fatty acid utilization was lower in C. albicans from coconut oil-fed mice than in C. albicans from beef tallow-fed mice. Extrapolating to humans, these findings suggest that coconut oil could become the first dietary intervention to reduce C. albicans GI colonization. IMPORTANCE Candida albicans, the most common human fungal pathogen, can cause infections with a mortality rate of ~40%. C. albicans is part of the normal gut flora, but when a patient's immune system is compromised, it can leave the gut and cause infections. By reducing the amount of C. albicans in the gut of susceptible patients, infections (and the resulting fatalities) can be prevented. Currently, this is done using antimicrobial drugs; to "preserve" drugs for treating infections, we looked for a dietary change to reduce the amount of C. albicans in the gut. Using a mouse model, we showed that adding coconut oil to the diet could become the first drug-free way to reduce C. albicans in the gut. More broadly, this model lets us study the interactions between our diet and the microbes in our body and the reasons why some of those microbes, under certain conditions, cause disease. Podcast: A podcast concerning this article is available.

Keywords: Candida; Candida albicans; carbon metabolism; commensal; fatty acids; host-pathogen interactions; medium-chain fatty acids; microbiome; pathogenesis.

Figures

FIG 1
FIG 1
Fatty acid composition of beef tallow, soybean oil, and coconut oil and weight of mice fed diets containing those fats. (A) Fatty acid composition data from the USDA Nutritional Nutrient Database for Standard Reference (release 27, http://ndb.nal.usda.gov/). (B) Mice fed a high-fat diet containing coconut oil, beef tallow, or soybean oil (18% by weight) or a standard diet (AIN-93G) were inoculated with C. albicans by oral gavage on day 0 (n = 8 to 12 mice per diet; mice from Fig. 2). Mice were weighed periodically throughout the experiment and were sacrificed 21 days postinoculation. (C) Mice fed a high-fat diet containing either coconut oil or beef tallow (30% by weight), a high-fat diet containing both (12% coconut oil and 18% beef tallow), or a standard diet (AIN-93G) were inoculated with C. albicans by oral gavage on day 0 (n = 8 to 12 mice per diet; mice from Fig. 4). Mice were weighed periodically throughout the experiment and were sacrificed 21 days postinoculation.
FIG 2
FIG 2
C. albicans murine gastrointestinal colonization is lower in mice fed a diet containing coconut oil than in mice fed a diet containing beef tallow or soybean oil. Mice fed a high-fat diet containing coconut oil, beef tallow, or soybean oil (18% by weight) or a standard diet (AIN-93G) were inoculated with C. albicans, and colonization (CFU per gram of material) was determined 21 days postinoculation. (A) Colonization was significantly lower in the stomach contents of mice fed the coconut oil diet than in the stomach contents of mice fed the beef tallow diet, soybean oil diet, or AIN-93G. (B) Colonization was significantly lower in the cecal contents of mice fed the coconut oil diet than in the cecal contents of mice fed the beef tallow or soybean oil diet but not AIN-93G. (C) Colonization was significantly lower in the fecal pellets of mice fed the coconut oil diet than in the fecal pellets of mice fed the beef tallow or soybean oil diet but was not significantly different from colonization in mice fed AIN-93G. Each symbol represents one mouse (n = 8 to 12 mice per diet); bars represent geometric means. NS, P > 0.05; *, P < 0.05; **, P < 0.01; ***, P < 0.001, Tukey’s HSD test.
FIG 3
FIG 3
Changing to a coconut oil-containing diet reduces preexisting GI colonization by C. albicans. Mice on a beef tallow-containing diet (18% by weight) were inoculated with C. albicans, and colonization was measured using fecal pellets collected on the days indicated. Fourteen days postinoculation, mice were switched to a coconut oil-containing diet (18% by weight); data from mice maintained on the beef tallow- or coconut oil-containing diet throughout the experiment are shown for comparison. Eighteen days postinoculation (4 days after the change in diet), colonization in mice switched from the beef tallow to the coconut oil diet was lower than that in mice maintained on the beef tallow diet and was not significantly different from that in mice fed the coconut oil-containing diet throughout the experiment. Data shown as geometric means ± standard errors; n = 8 to 12 mice per diet. **, P ≤ 0.01, Tukey’s HSD test.
FIG 4
FIG 4
Dietary coconut oil inhibits GI colonization by C. albicans. Mice fed a high-fat diet containing both coconut oil (12% by weight) and beef tallow (18%) or isocaloric diets containing either coconut oil or beef tallow (30%) or a standard diet (AIN-93G) were inoculated with C. albicans, and CFU per gram of material was determined 21 days postinoculation. (A) Colonization was significantly lower in the stomach contents of mice fed the coconut oil diet or the diet containing both coconut oil and beef tallow than in the stomach contents of mice fed the beef tallow diet. (B) Colonization was significantly lower in the cecal contents of mice fed the coconut oil diet, the diet containing both coconut oil and beef tallow, or AIN-93G than in the cecal contents of mice fed the beef tallow diet. (C) Colonization was significantly lower in the fecal pellets of mice fed the coconut oil diet, the diet containing both coconut oil and beef tallow, or AIN-93G than in the fecal pellets of mice fed the beef tallow diet. Each symbol represents one mouse (n = 8 to 12 mice per diet); bars represent geometric means. NS, P > 0.05; *, P < 0.05; **, P < 0.01; ***, P ≤ 0.001, Tukey’s HSD test.
FIG 5
FIG 5
Fatty acid profile (molar percentage) of the GI contents of mice fed diets containing either coconut oil or beef tallow, a diet containing both coconut oil and beef tallow, or a standard diet (AIN-93G). To determine the effect of dietary coconut oil and beef tallow on the fatty acid composition of the GI contents, mice were fed diets containing coconut oil or beef tallow (30%), a diet containing both (12% coconut oil and 18% beef tallow), or AIN-93G. Organ contents were harvested from throughout the GI tract, and the fatty acid profiles of these samples, as well as of the original diets, were determined by gas chromatography and expressed as molar percentages. Data represent the averages for three mice per diet.
FIG 6
FIG 6
Fatty acid profile (micrograms per milligram, wet weight) of the GI contents of mice fed diets containing either coconut oil or beef tallow, a diet containing both coconut oil and beef tallow, or a standard diet (AIN-93G). To determine the effect of dietary coconut oil and beef tallow on the fatty acid composition of the GI contents, mice were fed diets containing coconut oil or beef tallow (30%), a diet containing both (12% coconut oil and 18% beef tallow), or AIN-93G. Organ contents were harvested from throughout the GI tract, and the fatty acid profiles of these samples, as well as of the original diets, were determined by gas chromatography and expressed as micrograms of fatty acid per milligram (wet weight). Data represent the averages for three mice per diet.
FIG 7
FIG 7
Long-chain fatty acids are less abundant in the cecal contents of coconut oil-fed mice than in the cecal contents of beef tallow-fed mice. Mice were fed a high-fat diet containing either coconut oil or beef tallow (30% by weight) or both (12% coconut oil and 18% beef tallow). (A) The concentration of octadecanoic acid (18:0) was significantly lower in the cecal contents of mice fed the coconut oil diet or the diet containing both coconut oil and beef tallow than in the cecal contents of mice fed the beef tallow diet. (B) The concentration of hexadecanoic acid (16:0) was significantly lower in the cecal contents of mice fed the coconut oil diet than in the cecal contents of mice fed the beef tallow diet; the concentration of hexadecanoic acid was also lower in the cecal contents of mice fed the diet containing both coconut oil and beef tallow than in the cecal contents of beef tallow-fed mice, but this difference was not statistically significant (P = 0.06). Composite results from two experiments are shown, one in which n was 3 mice per diet and one in which samples from three mice per diet were pooled. Each symbol represents one sample; bars represent averages. NS, P > 0.05; *, P < 0.05; **, P < 0.01, Tukey’s HSD test.
FIG 8
FIG 8
Expression of C. albicans fatty acid catabolic genes is lower in the cecal contents of coconut oil-fed mice than in the cecal contents of beef tallow-fed mice. (A) Schematic of fatty acid catabolism in C. albicans. The pathways of fatty acid β-oxidation, acetyl-CoA transport (carnitine shuttle), the glyoxylate cycle, gluconeogenesis, and glycolysis are depicted, and the names of C. albicans genes differentially regulated in response to experimental diets are shown. (B to H) The expression of C. albicans genes was measured in the cecal contents of mice fed a high-fat diet containing either coconut oil or beef tallow (30%) or both (12% coconut oil and 18% beef tallow) or a standard diet (AIN-93G). (B to G) Expression of the fatty acid β-oxidation genes POT1 (B) and POX1-3 (C), the carnitine acetyltransferase genes CTN1 (D) and CTN3 (E), and the glyoxylate cycle genes ICL1 (F) and MLS1 (G) was lower in C. albicans from mice fed the coconut oil diet or the diet containing both beef tallow and coconut oil than in C. albicans from mice fed the beef tallow diet. (H) Expression of the glycolytic gene CDC19 was higher in C. albicans from mice fed the coconut oil diet or the diet containing both beef tallow and coconut oil than in C. albicans from mice fed the beef tallow diet. Data are expressed as fold change relative to the mean expression in mice fed the coconut oil diet; all gene expression data (measured via RT-qPCR) have been normalized to reference genes. Symbols indicate means ± standard errors; n = 8 to 12 mice per diet. NS, P > 0.05; *, P < 0.05; **, P < 0.01; ***, P < 0.001, Bonferroni-corrected pairwise t test following one-way ANOVA.

References

    1. Gudlaugsson O, Gillespie S, Lee K, Vande Berg JV, Hu J, Messer S, Herwaldt L, Pfaller M, Diekema D. 2003. Attributable mortality of nosocomial candidemia, revisited. Clin Infect Dis 37:1172–1177. doi:10.1086/378745.
    1. Diekema DJ, Pfaller MA. 2004. Nosocomial candidemia: an ounce of prevention is better than a pound of cure. Infect Control Hosp Epidemiol 25:624–626. doi:10.1086/502451.
    1. Nucci M, Anaissie E. 2001. Revisiting the source of candidemia: skin or gut? Clin Infect Dis 33:1959–1967. doi:10.1086/323759.
    1. Abi-Said D, Anaissie E, Uzun O, Raad I, Pinzcowski H, Vartivarian S. 1997. The epidemiology of hematogenous candidiasis caused by different Candida species. Clin Infect Dis 24:1122–1128. doi:10.1086/513663.
    1. Aydemir C, Oguz SS, Dizdar EA, Akar M, Sarikabadayi YU, Saygan S, Erdeve O, Dilmen U. 2011. Randomised controlled trial of prophylactic fluconazole versus nystatin for the prevention of fungal colonisation and invasive fungal infection in very low birth weight infants. Arch Dis Child Fetal Neonatal Ed 96:F164–F168. doi:10.1136/adc.2009.178996.
    1. Bertini G, Perugi S, Dani C, Filippi L, Pratesi S, Rubaltelli FF. 2005. Fluconazole prophylaxis prevents invasive fungal infection in high-risk, very low birth weight infants. J Pediatr 147:162–165. doi:10.1016/j.jpeds.2005.02.020.
    1. Clerihew L, Austin N, McGuire W. 2007. Prophylactic systemic antifungal agents to prevent mortality and morbidity in very low birth weight infants. Cochrane Database Syst Rev 4:CD003850. doi:10.1002/14651858.CD003850.pub3:CD003850.
    1. Faiz S, Neale B, Rios E, Campos T, Parsley E, Patel B, Ostrosky-Zeichner L. 2009. Risk-based fluconazole prophylaxis of Candida bloodstream infection in a medical intensive care unit. Eur J Clin Microbiol Infect Dis 28:689–692. doi:10.1007/s10096-008-0666-4.
    1. Manzoni P, Arisio R, Mostert M, Leonessa M, Farina D, Latino MA, Gomirato G. 2006. Prophylactic fluconazole is effective in preventing fungal colonization and fungal systemic infections in preterm neonates: a single-center, 6-year, retrospective cohort study. Pediatrics 117:e22–e32. doi:10.1542/peds.2004-2227.
    1. Manzoni P, Stolfi I, Pugni L, Decembrino L, Magnani C, Vetrano G, Tridapalli E, Corona G, Giovannozzi C, Farina D, Arisio R, Merletti F, Maule M, Mosca F, Pedicino R, Stronati M, Mostert M, Gomirato G, Italian Task Force for the Study and Prevention of Neonatal Fungal Infections, Italian Society of Neonatology . 2007. A multicenter, randomized trial of prophylactic fluconazole in preterm neonates. N Engl J Med 356:2483–2495. doi:10.1056/NEJMoa065733.
    1. McCrossan BA, McHenry E, O’Neill F, Ong G, Sweet DG. 2007. Selective fluconazole prophylaxis in high-risk babies to reduce invasive fungal infection. Arch Dis Child Fetal Neonatal Ed 92:F454–F458. doi:10.1136/adc.2006.094359.
    1. Rolnitsky A, Levy I, Sirota L, Shalit I, Klinger G. 2012. Targeted fluconazole prophylaxis for high-risk very low birth weight infants. Eur J Pediatr 171:1481–1487. doi:10.1007/s00431-012-1760-2.
    1. Uko S, Soghier LM, Vega M, Marsh J, Reinersman GT, Herring L, Dave VA, Nafday S, Brion LP. 2006. Targeted short-term fluconazole prophylaxis among very low birth weight and extremely low birth weight infants. Pediatrics 117:1243–1252. doi:10.1542/peds.2005-1969.
    1. Weitkamp J, Ozdas A, LaFleur B, Potts AL. 2008. Fluconazole prophylaxis for prevention of invasive fungal infections in targeted highest risk preterm infants limits drug exposure. J Perinatol 28:405–411. doi:10.1038/sj.jp.7211914.
    1. Healy CM, Campbell JR, Zaccaria E, Baker CJ. 2008. Fluconazole prophylaxis in extremely low birth weight neonates reduces invasive candidiasis mortality rates without emergence of fluconazole-resistant Candida species. Pediatrics 121:703–710. doi:10.1542/peds.2007-1130.
    1. Kaufman D. 2008. Fluconazole prophylaxis decreases the combined outcome of invasive Candida infections or mortality in preterm infants. Pediatrics 122:1158–1159. doi:10.1542/peds.2008-1837.
    1. Playford EG, Webster AC, Sorrell TC, Craig JC. 2006. Antifungal agents for preventing fungal infections in non-neutropenic critically ill and surgical patients: systematic review and meta-analysis of randomized clinical trials. J Antimicrob Chemother 57:628–638. doi:10.1093/jac/dki491.
    1. Vardakas KZ, Samonis G, Michalopoulos A, Soteriades ES, Falagas ME. 2006. Antifungal prophylaxis with azoles in high-risk, surgical intensive care unit patients: a meta-analysis of randomized, placebo-controlled trials. Crit Care Med 34:1216–1224. doi:10.1097/01.CCM.0000208357.05675.C3.
    1. Anderson JB. 2005. Evolution of antifungal-drug resistance: mechanisms and pathogen fitness. Nat Rev Microbiol 3:547–556. doi:10.1038/nrmicro1179.
    1. Cowen LE, Anderson JB, Kohn LM. 2002. Evolution of drug resistance in Candida albicans. Annu Rev Microbiol 56:139–165. doi:10.1146/annurev.micro.56.012302.160907.
    1. Rex JH. 2006. Antifungal prophylaxis in the intensive care unit: who should get it? Crit Care Med 34:1286–1287. doi:10.1097/01.CCM.0000208110.36504.19.
    1. Sardi JCO, Scorzoni L, Bernardi T, Fusco-Almeida AM, Mendes Giannini MJ. 2013. Candida species: current epidemiology, pathogenicity, biofilm formation, natural antifungal products and new therapeutic options. J Med Microbiol 62:10–24. doi:10.1099/jmm.0.045054-0.
    1. Centers for Disease Control and Prevention 2013. Antibiotic resistance threats in the United States, 2013. Centers for Disease Control and Prevention, Atlanta, GA: .
    1. De Wit N, Derrien M, Bosch-Vermeulen H, Oosterink E, Keshtkar S, Duval C, de Vogel-van den Bosch J, Kleerebezem M, Muller M, van der Meer R. 2012. Saturated fat stimulates obesity and hepatic steatosis and affects gut microbiota composition by an enhanced overflow of dietary fat to the distal intestine. Am J Physiol Gastrointest Liver Physiol 303:G589–G599. doi:10.1152/ajpgi.00488.2011.
    1. Hildebrandt MA, Hoffmann C, Sherrill-Mix SA, Keilbaugh SA, Hamady M, Chen Y, Knight R, Ahima RS, Bushman F, Wu GD. 2009. High-fat diet determines the composition of the murine gut microbiome independently of obesity. Gastroenterology 137:1716–1724. doi:10.1053/j.gastro.2009.08.042.
    1. Murphy EF, Cotter PD, Healy S, Marques TM, O’Sullivan O, Fouhy F, Clarke SF, O’Toole PW, Quigley EM, Stanton C, Ross PR, O’Doherty RM, Shanahan F. 2010. Composition and energy harvesting capacity of the gut microbiota: relationship to diet, obesity and time in mouse models. Gut 59:1635–1642. doi:10.1136/gut.2010.215665.
    1. Turnbaugh PJ, Bäckhed F, Fulton L, Gordon JI. 2008. Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell Host Microbe 3:213–223. doi:10.1016/j.chom.2008.02.015.
    1. Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, Gordon JI. 2009. The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Sci Transl Med 1:6ra14. doi:10.1126/scitranslmed.3000322.
    1. Maukonen J, Saarela M. 2015. Human gut microbiota: does diet matter? Proc Nutr Soc 74:23–36. doi:10.1017/S0029665114000688.
    1. Shen W, Gaskins HR, McIntosh MK. 2014. Influence of dietary fat on intestinal microbes, inflammation, barrier function and metabolic outcomes. J Nutr Biochem 25:270–280. doi:10.1016/j.jnutbio.2013.09.009.
    1. Ogbolu DO, Oni AA, Daini OA, Oloko AP. 2007. In vitro antimicrobial properties of coconut oil on Candida species in Ibadan, Nigeria. J Med Food 10:384–387. doi:10.1089/jmf.2006.1209.
    1. Kabara JJ, Swieczkowski DM, Conley AJ, Truant JP. 1972. Fatty acids and derivatives as antimicrobial agents. Antimicrob Agents Chemother 2:23–28. doi:10.1128/AAC.2.1.23.
    1. Bergsson G, Arnfinnsson J, Steingrimsson O, Thormar H. 2001. In vitro killing of Candida albicans by fatty acids and monoglycerides. Antimicrob Agents Chemother 45:3209–3212. doi:10.1128/AAC.45.11.3209-3212.2001.
    1. Strijbis K, van Roermund CWT, Visser WF, Mol EC, van den Burg J, MacCallum DM, Odds FC, Paramonova E, Krom BP, Distel B. 2008. Carnitine-dependent transport of acetyl coenzyme A in Candida albicans is essential for growth on nonfermentable carbon sources and contributes to biofilm formation. Eukaryot Cell 7:610–618. doi:10.1128/EC.00017-08.
    1. Zhou H, Lorenz MC. 2008. Carnitine acetyltransferases are required for growth on non-fermentable carbon sources but not for pathogenesis in Candida albicans. Microbiology 154:500–509. doi:10.1099/mic.0.2007/014555-0.
    1. Carman AJ, Vylkova S, Lorenz MC. 2008. Role of acetyl coenzyme A synthesis and breakdown in alternative carbon source utilization in Candida albicans. Eukaryot Cell 7:1733–1741. doi:10.1128/EC.00253-08.
    1. Prigneau O, Porta A, Maresca B. 2004. Candida albicans CTN gene family is induced during macrophage infection: homology, disruption and phenotypic analysis of CTN3 gene. Fungal Genet Biol 41:783–793. doi:10.1016/j.fgb.2004.04.001.
    1. Ramirez MA, Lorenz MC. 2009. The transcription factor homolog CTF1 regulates β-oxidation in Candida albicans. Eukaryot Cell 8:1604–1614. doi:10.1128/EC.00206-09.
    1. Strijbis K, Distel B. 2010. Intracellular acetyl unit transport in fungal carbon metabolism. Eukaryot Cell 9:1809–1815. doi:10.1128/EC.00172-10.
    1. Kunau W, Dommes V, Schulz H. 1995. Beta-oxidation of fatty acids in mitochondria, peroxisomes, and bacteria: a century of continued progress. Prog Lipid Res 34:267–342. doi:10.1016/0163-7827(95)00011-9.
    1. Agricultural Research Service 2015. Full report (all nutrients) 04047, oil, coconut. Agricultural Research Service, US Department of Agriculture, Washington, DC.
    1. Barelle CJ, Priest CL, Maccallum DM, Gow NAR, Odds FC, Brown AJP. 2006. Niche-specific regulation of central metabolic pathways in a fungal pathogen. Cell Microbiol 8:961–971. doi:10.1111/j.1462-5822.2005.00676.x.
    1. Piekarska K, Mol E, van den Berg M, Hardy G, van den Burg J, van Roermund C, MacCallum D, Odds F, Distel B. 2006. Peroxisomal fatty acid beta-oxidation is not essential for virulence of Candida albicans. Eukaryot Cell 5:1847–1856. doi:10.1128/EC.00093-06.
    1. Prigneau O, Porta A, Poudrier JA, Colonna-Romano S, Noël T, Maresca B. 2003. Genes involved in beta-oxidation, energy metabolism and glyoxylate cycle are induced by Candida albicans during macrophage infection. Yeast 20:723–730. doi:10.1002/yea.998.
    1. Ramirez MA, Lorenz MC. 2007. Mutations in alternative carbon utilization pathways in Candida albicans attenuate virulence and confer pleiotropic phenotypes. Eukaryot Cell 6:280–290. doi:10.1128/EC.00372-06.
    1. Lorenz MC, Fink GR. 2001. The glyoxylate cycle is required for fungal virulence. Nature 412:83–86. doi:10.1038/35083594.
    1. Brown AJP, Brown GD, Netea MG, Gow NAR. 2014. Metabolism impacts upon Candida immunogenicity and pathogenicity at multiple levels. Trends Microbiol 22:614–622. doi:10.1016/j.tim.2014.07.001.
    1. Fradin C, De Groot P, MacCallum D, Schaller M, Klis F, Odds FC, Hube B. 2005. Granulocytes govern the transcriptional response, morphology and proliferation of Candida albicans in human blood. Mol Microbiol 56:397–415. doi:10.1111/j.1365-2958.2005.04557.x.
    1. Lorenz MC, Bender JA, Fink GR. 2004. Transcriptional response of Candida albicans upon internalization by macrophages. Eukaryot Cell 3:1076–1087. doi:10.1128/EC.3.5.1076-1087.2004.
    1. Marten B, Pfeuffer M, Schrezenmeir J. 2006. Medium-chain triglycerides. Int Dairy J 16:1374–1382. doi:10.1016/j.idairyj.2006.06.015.
    1. Agricultural Research Service 2012. Nutrient intakes from food: mean amounts consumed per individual, by gender and age; what we eat in America, NHANES 2009–2010. Agricultural Research Service, US Department of Agriculture, Washington, DC: .
    1. Vargas SL, Patrick CC, Ayers GD, Hughes WT. 1993. Modulating effect of dietary carbohydrate supplementation on Candida albicans colonization and invasion in a neutropenic mouse model. Infect Immun 61:619–626.
    1. Weig M, Werner E, Frosch M, Kasper H. 1999. Limited effect of refined carbohydrate dietary supplementation on colonization of the gastrointestinal tract of healthy subjects by Candida albicans. Am J Clin Nutr 69:1170–1173.
    1. Reeves PG, Nielsen FH, Fahey GC Jr.. 1993. AIN-93 purified diets for laboratory rodents: final report of the American Institute of Nutrition ad hoc writing committee on the reformulation of the AIN-76A rodent diet. J Nutr 123:1939–1951.
    1. White SJ, Rosenbach A, Lephart P, Nguyen D, Benjamin A, Tzipori S, Whiteway M, Mecsas J, Kumamoto CA. 2007. Self-regulation of Candida albicans population size during GI colonization. PLoS Pathog 3:e184. doi:10.1371/journal.ppat.0030184.
    1. R Core Team 2012. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
    1. Pinheiro J, Bates D, DebRoy S, Sarkar D, R Core Team . 2015. nlme: linear and nonlinear mixed effects models. R package version 3.1-122 R Foundation for Statistical Computing, Vienna, Austria.
    1. Hothorn T, Bretz F, Westfall P. 2008. Simultaneous inference in general parametric models. Biom J 50:346–363. doi:10.1002/bimj.200810425.
    1. Nailis H, Coenye T, Van Nieuwerburgh F, Deforce D, Nelis HJ. 2006. Development and evaluation of different normalization strategies for gene expression studies in Candida albicans biofilms by real-time PCR. BMC Mol Biol 7:25. doi:10.1186/1471-2199-7-25.
    1. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F. 2002. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3:RESEARCH0034. doi:10.1186/gb-2002-3-7-research0034.
    1. Kohl M. 2007. SLqPCR: functions for analysis of real-time quantitative PCR data at SIRS-Lab GmbH. SIRS-Lab GmbH, Jena, Germany.
    1. Willems E, Leyns L, Vandesompele J. 2008. Standardization of real-time PCR gene expression data from independent biological replicates. Anal Biochem 379:127–129. doi:10.1016/j.ab.2008.04.036.
    1. Folch J, Lees M, Sloane SGH. 1957. A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem 226:497–509.
    1. Morrison WR, Smith LM. 1964. Preparation of fatty acid methyl esters and dimethylacetals from lipids with boron-fluoride–methanol. J Lipid Res 5:600–608.
    1. Matthan NR, Ip B, Resteghini N, Ausman LM, Lichtenstein AH. 2010. Long-term fatty acid stability in human serum cholesteryl ester, triglyceride, and phospholipid fractions. J Lipid Res 51:2826–2832. doi:10.1194/jlr.D007534.

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