Advertisement
Research Original Research: Brief| Volume 120, ISSUE 4, P650-659, April 2020

Fecal Akkermansia muciniphila Is Associated with Body Composition and Microbiota Diversity in Overweight and Obese Women with Breast Cancer Participating in a Presurgical Weight Loss Trial

Published:November 09, 2018DOI:https://doi.org/10.1016/j.jand.2018.08.164

      Abstract

      Background

      Akkermansia muciniphila (AM) is a gram-negative, mucin-degrading bacteria inhabiting the gastrointestinal tract associated with host phenotypes and disease states.

      Objective

      Explore characteristics of overweight and obese female early-stage (0 to II) breast cancer patients with low AM relative abundance (LAM) vs high (HAM) enrolled in a presurgical weight-loss trial.

      Design

      Secondary analysis of pooled participants in a randomized controlled trial (NCT02224807).

      Participants/setting

      During the period from 2014 to 2017, 32 female patients with breast cancer were randomized to weight-loss or attention-control arms from time of diagnosis-to-lumpectomy (mean=30±9 days).

      Intervention

      All were instructed to correct nutrient deficiencies via food sources and on upper-body exercises. The weight-loss group received additional guidance to promote 0.5 to 1 kg/wk weight-loss via energy restriction and aerobic exercise.

      Main outcome measures

      At baseline and follow-up, sera, fecal samples, two-24 hour dietary recalls and dual x-ray absorptiometry were obtained. Bacterial DNA was isolated from feces and polymerase chain reaction (16S) amplified. Inflammatory cytokines were measured in sera.

      Statistical analyses performed

      Differences between LAM and HAM participants were analyzed using t tests and nonparametric tests. Spearman correlations explored relationships between continuous variables.

      Results

      Participants were aged 61±9 years with body mass index 34.8±6. Mean AM relative abundance was 0.02% (0.007% to 0.06%) and 1.59% (0.59% to 13.57%) for LAM and HAM participants, respectively. At baseline, women with HAM vs LAM had lower fat mass (38.9±11.2 kg vs 46.4±9.0 kg; P=0.044). Alpha diversity (ie, species richness) was higher in women with HAM (360.8±84.8 vs 282.4±69.6; P=0.008) at baseline, but attenuated after weight-loss (P=0.058). At baseline, interleukin-6 level was associated with species richness (ρ=–0.471, P=0.008) and fat mass (ρ=0.529, P=0.002), but not AM. Change in total dietary fiber was positively associated with AM in LAM (ρ=0.626, P=0.002), but not HAM (ρ=0.436, P=0.180) participants.

      Conclusions

      Among women with early-stage breast cancer, body composition is associated with AM, microbiota diversity, and interleukin-6 level. AM may mediate the effects of dietary fiber in improving microbiota composition.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Journal of the Academy of Nutrition and Dietetics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Siegel R.L.
        • Miller K.D.
        • Jemal A.
        Cancer statistics, 2018.
        CA Cancer J Clin. 2018; 68: 7-30
        • Madeddu C.
        • Gramignano G.
        • Floris C.
        • Murenu G.
        • Sollai G.
        • Macciò A.
        Role of inflammation and oxidative stress in post-menopausal oestrogen-dependent breast cancer.
        J Cell Mol Med. 2014; 18: 2519-2529
        • Agnoli C.
        • Grioni S.
        • Pala V.
        • et al.
        Biomarkers of inflammation and breast cancer risk: a case-control study nested in the EPIC-Varese cohort.
        Sci Rep. 2017; 7: 12708
        • Pierce B.L.
        • Ballard-Barbash R.
        • Bernstein L.
        • et al.
        Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients.
        J Clin Oncol. 2009; 27: 3437-3444
        • Kwa M.
        • Plottel C.S.
        • Blaser M.J.
        • Adams S.
        The intestinal microbiome and estrogen receptor–positive female breast cancer.
        J Natl Cancer Inst. 2016; 108
        • Goedert J.J.
        • Jones G.
        • Hua X.
        • et al.
        Investigation of the association between the fecal microbiota and breast cancer in postmenopausal women: A population-based case-control pilot study.
        J Natl Cancer Inst. 2015; 107 (pii:djv147)
        • Goedert J.J.
        • Gong Y.
        • Hua X.
        • et al.
        Fecal microbiota characteristics of patients with colorectal adenoma detected by screening: A population-based study.
        EBioMedicine. 2015; 2: 597-603
        • Jain S.
        • Suklabaidya S.
        • Das B.
        • Raghav S.K.
        • Batra S.K.
        • Senapati S.
        TLR4 activation by lipopolysaccharide confers survival advantage to growth factor deprived prostate cancer cells.
        Prostate. 2015; 75: 1020-1033
        • Bultman S.J.
        Emerging roles of the microbiome in cancer.
        Carcinogenesis. 2014; 35: 249-255
        • Candela M.
        • Turroni S.
        • Biagi E.
        • et al.
        Inflammation and colorectal cancer, when microbiota-host mutualism breaks.
        World J Gastroenterol. 2014; 20: 908-922
        • Hullar M.A.J.
        • Burnett-Hartman A.N.
        • Lampe J.W.
        Gut microbes, diet, and cancer.
        Cancer Treat Res. 2014; 159: 377-399
        • Nistal E.
        • Fernández-Fernández N.
        • VIVAS S.
        • Olcoz J.L.
        Factors determining colorectal cancer: the role of the intestinal microbiota.
        Front Oncol. 2015; 5: 220
        • Zitvogel L.
        • Daillere R.
        • Roberti M.P.
        • Routy B.
        • Kroemer G.
        Anticancer effects of the microbiome and its products.
        Nat Rev Microbiol. 2017; 15: 465-478
        • Everard A.
        • Belzer C.
        • Geurts L.
        • et al.
        Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity.
        Proc Natl Acad Sci U S A. 2013; 110: 9066-9071
        • Schneeberger M.
        • Everard A.
        • Gómez-Valadés A.G.
        • et al.
        Akkermansia muciniphila inversely correlates with the onset of inflammation, altered adipose tissue metabolism and metabolic disorders during obesity in mice.
        Sci Rep. 2015; 5: 16643
        • Dao M.C.
        • Everard A.
        • Aron-Wisnewsky J.
        • et al.
        Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: Relationship with gut microbiome richness and ecology.
        Gut. 2016; 65: 426-436
        • Qin J.
        • Li Y.
        • Cai Z.
        • et al.
        A metagenome-wide association study of gut microbiota in type 2 diabetes.
        Nature. 2012; 490: 55
        • Anhê F.F.
        • Pilon G.
        • Roy D.
        • Desjardins Y.
        • Levy E.
        • Marette A.
        Triggering Akkermansia with dietary polyphenols: A new weapon to combat the metabolic syndrome?.
        Gut Microbes. 2016; 7: 146-153
        • Cani P.D.
        • de Vos W.M.
        Next-generation beneficial microbes: The case of Akkermansia muciniphila.
        Front Microbiol. 2017; 8: 1765
        • Derrien M.
        • Belzer C.
        • de Vos W.M.
        Akkermansia muciniphila and its role in regulating host functions.
        Microb Pathog. 2017; 106: 171-181
        • Ottman N.
        • Geerlings S.Y.
        • Aalvink S.
        • de Vos W.M.
        • Belzer C.
        Action and function of Akkermansia muciniphila in microbiome ecology, health and disease.
        Best Pract Res Clin Gastroenterol. 2017; 31: 637-642
        • Plovier H.
        • Everard A.
        • Druart C.
        • et al.
        A purified membrane protein from Akkermansia muciniphila or the pasteurized bacterium improves metabolism in obese and diabetic mice.
        Nat Med. 2017; 23: 107-113
        • Desai Mahesh S.
        • Seekatz Anna M.
        • Koropatkin Nicole M.
        • et al.
        A dietary fiber-deprived gut microbiota degrades the colonic mucus barrier and enhances pathogen susceptibility.
        Cell. 2016; 167: 1339-1353.e1321
        • Ijssennagger N.
        • Belzer C.
        • Hooiveld G.J.
        • et al.
        Gut microbiota facilitates dietary heme-induced epithelial hyperproliferation by opening the mucus barrier in colon.
        Proc Natl Acad Sci U S A. 2015; 112: 10038-10043
        • Gómez-Gallego C.
        • Pohl S.
        • Salminen S.
        • Vos W.M.D.
        • Kneifel W.
        Akkermansia muciniphila: A novel functional microbe with probiotic properties.
        Benef Microbes. 2016; 7: 571-584
        • Reunanen J.
        • Kainulainen V.
        • Huuskonen L.
        • et al.
        Akkermansia muciniphila adheres to enterocytes and strengthens the integrity of the epithelial cell layer.
        Appl Environ Microbiol. 2015; 81: 3655-3662
        • Carding S.
        • Verbeke K.
        • Vipond D.T.
        • Corfe B.M.
        • Owen L.
        Dysbiosis of the gut microbiota in disease.
        Microb Ecology Health Dis. 2015; 26: 26191
        • Zhou K.
        Strategies to promote abundance of Akkermansia muciniphila, an emerging probiotics in the gut, evidence from dietary intervention studies.
        J Funct Foods. 2017; 33: 194-201
        • Shen W.
        • Shen M.
        • Zhao X.
        • et al.
        Anti-obesity effect of capsaicin in mice fed with high-fat diet is associated with an increase in population of the gut bacterium Akkermansia muciniphila.
        Front Microbiol. 2017; 8: 272
        • Bäckhed F.
        • Roswall J.
        • Peng Y.
        • et al.
        Dynamics and stabilization of the human gut microbiome during the first year of life.
        Cell Host Microbe. 2015; 17: 690-703
        • Dethlefsen L.
        • Relman D.A.
        Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation.
        Proc Natl Acad Sci U S A. 2011; 108: 4554-4561
        • Graf D.
        • Di Cagno R.
        • Fåk F.
        • et al.
        Contribution of diet to the composition of the human gut microbiota.
        Microb Ecol Health Dis. 2015; 26: 26164
        • The Human Microbiome Project Consortium
        Structure, function and diversity of the healthy human microbiome.
        Nature. 2012; 486: 207-214
        • Tsuruta Y.
        • Rogers L.Q.
        • Krontiras H.
        • et al.
        Exploring effects of presurgical weight loss among women with stage 0–II breast cancer: Protocol for a randomised controlled feasibility trial.
        BMJ Open. 2016; 6: e012320
        • Rogers M.A.
        • Aronoff D.M.
        The influence of non-steroidal anti-inflammatory drugs on the gut microbiome.
        Clin Microbiol Infect. 2016; 22: 178.e1-178.e9
        • Forslund K.
        • Hildebrand F.
        • Nielsen T.
        • et al.
        Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota.
        Nature. 2015; 528: 262-266
        • De Keyzer W.
        • Huybrechts I.
        • De Vriendt V.
        • et al.
        Repeated 24-hour recalls versus dietary records for estimating nutrient intakes in a national food consumption survey.
        Food Nutr Res. 2011; 55 (Epub 2011 Nov 11)
        • Bodner-Montville J.
        • Ahuja J.K.C.
        • Ingwersen L.A.
        • Haggerty E.S.
        • Enns C.W.
        • Perloff B.P.
        USDA Food and Nutrient Database for Dietary Studies: Released on the web.
        J Food Comp Anal. 2006; 19: S100-S107
        • Lohman T.
        • Roache A.
        • Martorell R.
        Anthropometric standardization reference manual.
        Med Sci Sports Exerc. 1992; 24: 952
        • Demark-Wahnefried W.
        • Nix J.W.
        • Hunter G.R.
        • et al.
        Feasibility outcomes of a presurgical randomized controlled trial exploring the impact of caloric restriction and increased physical activity versus a wait-list control on tumor characteristics and circulating biomarkers in men electing prostatectomy for prostate cancer.
        BMC Cancer. 2017; 17: 71
        • Kumar R.
        • Eipers P.
        • Little R.B.
        • et al.
        Getting started with microbiome analysis: Sample acquisition to bioinformatics.
        Curr Protoc Hum Genet. 2014; 82 (18.8)
        • Daft J.G.
        • Ptacek T.
        • Kumar R.
        • Morrow C.
        • Lorenz R.G.
        Cross-fostering immediately after birth induces a permanent microbiota shift that is shaped by the nursing mother.
        Microbiome. 2015; 3: 17
        • Caporaso J.G.
        • Lauber C.L.
        • Walters W.A.
        • et al.
        Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.
        Proc Natl Acad Sci U S A. 2011; 108: 4516-4522
        • Edgar R.C.
        Search and clustering orders of magnitude faster than BLAST.
        Bioinformatics. 2010; 26: 2460-2461
        • Wang Q.
        • Garrity G.M.
        • Tiedje J.M.
        • Cole J.R.
        Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.
        Appl Environ Microbiol. 2007; 73: 5261-5267
        • DeSantis T.Z.
        • Hugenholtz P.
        • Larsen N.
        • et al.
        Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.
        Appl Environ Microbiol. 2006; 72: 5069-5072
        • Faith D.P.
        • Baker A.M.
        Phylogenetic diversity (PD) and biodiversity conservation: some bioinformatics challenges.
        Evol Bioinform Online. 2006; 2: 121-128
        • Lozupone C.
        • Knight R.
        UniFrac: A new phylogenetic method for comparing microbial communities.
        Appl Environ Microbiol. 2005; 71: 8228-8235
        • Kushi L.H.
        • Doyle C.
        • McCullough M.
        • et al.
        American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity.
        CA Cancer J Clin. 2012; 62: 30-67
        • Belzer C.
        • de Vos W.M.
        Microbes inside—from diversity to function: The case of Akkermansia.
        ISME J. 2012; 6: 1449-1458
        • Gobert A.P.
        • Sagrestani G.
        • Delmas E.
        • et al.
        The human intestinal microbiota of constipated-predominant irritable bowel syndrome patients exhibits anti-inflammatory properties.
        Sci Rep. 2016; 6: 39399
        • Le Chatelier E.
        • Nielsen T.
        • Qin J.
        • et al.
        Richness of human gut microbiome correlates with metabolic markers.
        Nature. 2013; 500: 541-546
        • de la Cuesta-Zuluaga J.
        • Mueller N.T.
        • Corrales-Agudelo V.
        • et al.
        Metformin is associated with higher relative abundance of mucin-degrading Akkermansia muciniphila and several short-chain fatty acid–producing microbiota in the gut.
        Diabetes Care. 2017; 40: 54-62
        • Zhao S.
        • Liu W.
        • Wang J.
        • et al.
        Akkermansia muciniphila improves metabolic profiles by reducing inflammation in chow diet-fed mice.
        J Molec Endocrinol. 2017; 58: 1-14
        • Brodmann T.
        • Endo A.
        • Gueimonde M.
        • et al.
        Safety of novel microbes for human consumption: Practical examples of assessment in the European Union.
        Front Microbiol. 2017; 8: 1725
        • Neal M.D.
        • Leaphart C.
        • Levy R.
        • et al.
        Enterocyte TLR4 mediates phagocytosis and translocation of bacteria across the intestinal barrier.
        J Immunol. 2006; 176: 3070-3079
        • Cani P.D.
        • Amar J.
        • Iglesias M.A.
        • et al.
        Metabolic endotoxemia initiates obesity and insulin resistance.
        Diabetes. 2007; 56: 1761-1772
        • Patel P.N.
        • Shah R.Y.
        • Ferguson J.F.
        • Reilly M.P.
        Human experimental endotoxemia in modeling the pathophysiology, genomics, and therapeutics of innate immunity in complex cardiometabolic diseases.
        Arterioscler Thromb Vasc Biol. 2015; 35: 525-534
        • Hunter C.A.
        • Jones S.A.
        IL-6 as a keystone cytokine in health and disease.
        Nature Immunology. 2015; 16: 448-457
        • Sindhu S.
        • Thomas R.
        • Shihab P.
        • Sriraman D.
        • Behbehani K.
        • Ahmad R.
        Obesity is a positive modulator of IL-6R and IL-6 expression in the subcutaneous adipose tissue: Significance for metabolic inflammation.
        PLoS ONE. 2015; 10: e0133494
        • Wu H.
        • Esteve E.
        • Tremaroli V.
        • et al.
        Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug.
        Nat Med. 2017; 23: 850-858
        • Menni C.
        • Zierer J.
        • Pallister T.
        • et al.
        Omega-3 fatty acids correlate with gut microbiome diversity and production of N-carbamylglutamate in middle aged and elderly women.
        Sci Rep. 2017; 7: 11079
        • Clarke S.F.
        • Murphy E.F.
        • O'Sullivan O.
        • et al.
        Exercise and associated dietary extremes impact on gut microbial diversity.
        Gut. 2014; 63: 1913-1920
        • Simpson H.L.
        • Campbell B.J.
        Review article: Dietary fibre–microbiota interactions.
        Aliment Pharmacol Ther. 2015; 42: 158-179
        • Furet J.-P.
        • Kong L.-C.
        • Tap J.
        • et al.
        Differential adaptation of human gut microbiota to bariatric surgery-induced weight loss.
        Diabetes. 2010; 59: 3049-3057
        • Seganfredo F.B.
        • Blume C.A.
        • Moehlecke M.
        • et al.
        Weight-loss interventions and gut microbiota changes in overweight and obese patients: A systematic review.
        Obes Rev. 2017; 18: 832-851
        • Deehan E.C.
        • Walter J.
        The fiber gap and the disappearing gut microbiome: Implications for human nutrition.
        Trends Endocrinol Metab. 2016; 27: 239-242
        • Ma Y.
        • Olendzki B.C.
        • Pagoto S.L.
        • et al.
        Number of 24-hour diet recalls needed to estimate energy intake.
        Ann Epidemiol. 2009; 19: 553-559

      Biography

      A. D. Frugé is an assistant professor, Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL.

      Biography

      W. Van der Pol is a bioinformatician II, Department of Computational Biology and Bioinformatics, University of Alabama at Birmingham, Birmingham.

      Biography

      C. D. Morrow is a professor, Department of Cell Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham.

      Biography

      L. Q. Rogers is a professor, Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham.

      Biography

      Y. Tsuruta is a project coordinator, Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham.

      Biography

      W. Demark-Wahnefried is a professor and Webb Endowed Chair, Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham.