Mining possible associations of faecal A. muciniphila colonisation patterns with host adiposity and cardiometabolic markers in an adult population
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We aimed to evaluate colonisation patterns of Akkermansia muciniphila in a Greek adult population and to investigate model-adjusted associations of A. muciniphila with host adiposity and cardiometabolic markers. Participants (n=125) underwent anthropometric, dietary, physical activity and lifestyle evaluation. Blood sampling for determination of blood lipid indices, glucose metabolism, adiponectin, lipoprotein-associated phospholipase A2 (Lp-PLA2), inflammation and oxidative stress parameters was also performed. Stool A. muciniphila presence and levels were determined by quantitative PCR and subjects were grouped based on bimodal distribution of levels (Low vs High). A. muciniphila was detected in 88.6% of participants. Overweight/obese (OW/OB) subjects were more prone in low bimodal levels of A. muciniphila compared to normal-weight (NW) individuals (58.75 vs 27.59%, P=0.004), with a 4-time greater likelihood after multi-adjusted logistic regression analysis (P=0.016). Levels of A. muciniphila were negatively associated with total cholesterol/high-density lipoprotein cholesterol (TC/HDL-C) ratio (log10:-0.009±0.004, P=0.033), whereas detection of this bacterium was negatively associated with both TC/HDL-C ratio (log10: -0.049±0.023, P=0.036) and low-density lipoprotein cholesterol/HDL-C ratio (-0.407±0.176, P=0.023). Furthermore, low bimodal levels of A. muciniphila were positively associated with fasting blood glucose (log10: 0.018±0.009, P=0.037). In terms of inflammation markers, levels of A. muciniphila were positively associated with soluble cluster of differentiation-14 (sCD14) (log10: 0.012±0.004, P=0.003) and faecal detection of this bacterium had a positive association with anti-inflammatory interleukin 10 levels (log10: 0.325±0.131, P=0.015). In addition, A. muciniphila levels were positively associated with total adiponectin (log10: 0.046±0.015, P=0.002), whereas low bimodal levels of A. muciniphila had an inverse relationship with this blood marker (log10: -0.131±0.053, P=0.016). In conclusion, we confirmed the previously reported association of A. muciniphila with metabolic health for the first time in a Greek urban population; furthermore, we shed some light to novel atherosclerotic risk markers with rather unexplored connections with A. muciniphila colonisation patterns in human subjects.
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Brahe, L.K., Le Chatelier, E., Prifti, E., Pons, N., Kennedy, S., Hansen, T., Pedersen, O., Astrup, A., Ehrlich, S.D. and Larsen, L.H., 2015. Specific gut microbiota features and metabolic markers in postmenopausal women with obesity. Nutrition and Diabetes 5: e159. https://doi.org/10.1038/nutd.2015.9
-
Cani, P.D., 2018. Human gut microbiome: hopes, threats and promises. Gut 67: 1716-1725. https://doi.org/10.1136/gutjnl-2018-316723
-
Cani, P.D., Amar, J., Iglesias, M.A., Poggi, M., Knauf, C., Bastelica, D., Neyrinck, A.M., Fava, F., Tuohy, K.M., Chabo, C., Waget, A., Delmée, E., Cousin, B., Sulpice, T., Chamontin, B., Ferrières, J., Tanti, J.F., Gibson, G.R., Casteilla, L., Delzenne, N.M., Alessi, M.C. and Burcelin, R., 2007. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 56: 1761-1772. https://doi.org/10.2337/db06-1491
-
Cani, P.D. and De Vos, W.M., 2017. Next-generation beneficial microbes: the case of Akkermansia muciniphila. Frontiers in Microbiology 8: 1765. https://doi.org/10.3389/fmicb.2017.01765
-
Cuschieri, S. and Mamo, J., 2016. Getting to grips with the obesity epidemic in Europe. SAGE Open Medicine 4: 2050312116670406. https://doi.org/10.1177/2050312116670406
-
Dao, M.C., Everard, A., Aron-Wisnewsky, J., Sokolovska, N., Prifti, E., Verger, E.O., Kayser, B.D., Levenez, F., Chilloux, J., Hoyles, L., MICRO-Obes Consortium, Dumas, M.E., Rizkalla, S.W., Doré, J., Cani, P.D. and Clément, K., 2016. Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology. Gut 65: 426-436. https://doi.org/10.1136/gutjnl-2014-308778
-
De la Cuesta-Zuluaga, J., Mueller, N.T., Corrales-Agudelo, V., Velásquez-MejÃa, E.P., Carmona, J.A., Abad, J.M. and Escobar, J.S., 2017. 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 40: 54-62. https://doi.org/10.2337/dc16-1324
-
De Vos, W.M., 2017. Microbe profile: Akkermansia muciniphila: a conserved intestinal symbiont that acts as the gatekeeper of our mucosa. Microbiology 163: 646-648. https://doi.org/10.1099/mic.0.000444
-
Derrien, M., Belzer, C. and De Vos, W.M., 2017. Akkermansia muciniphila and its role in regulating host functions. Microbial Pathogenesis 106: 171-181. https://doi.org/10.1016/j.micpath.2016.02.005
-
Detopoulou, P., Nomikos, T., Fragopoulou, E., Panagiotakos, D.B., Pitsavos, C., Stefanadis, C. and Antonopoulou, S., 2009. Lipoprotein-associated phospholipase A2 (Lp-PLA2) activity, platelet-activating factor acetylhydrolase (PAF-AH) in leukocytes and body composition in healthy adults. Lipids in Health and Disease 8: 19. https://doi.org/10.1186/1476-511X-8-19
-
Everard, A., Belzer, C., Geurts, L., Ouwerkerk, J.P., Druart, C., Bindels, L.B., Guiot, Y., Derrien, M., Muccioli, G.G., Delzenne, N.M., De Vos, W.M. and Cani, P.D., 2013. Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity. Proceedings of the National Academy of Sciences of the USA 110: 9066-9071. https://doi.org/10.1073/pnas.1219451110
-
Fragopoulou, E., Gavriil, L., Argyrou, C., Malagaris, I., Choleva, M., Antonopoulou, S., Afxentiou, G. and Nikolaou, E., 2018. Suppression of DNA/RNA and protein oxidation by dietary supplement which contains plant extracts and vitamins: a randomized, double-blind, placebo-controlled trial. Lipids in Health and Disease 17: 187. https://doi.org/10.1186/s12944-018-0836-z
-
Friedewald, W.T., Levy, R.I. and Fredrickson, D.S., 1972. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinical Chemistry 18: 499-502.
'Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge ' () 18 Clinical Chemistry : 499 -502.
-
Gnauck, A., Lentle, R.G. and Kruger, M.K., 2016. Chasing a ghost? Issues with the determination of circulating levels of endotoxin in human blood. Critical Reviews in Clinical Laboratory Sciences 53: 197-215. https://doi.org/10.3109/10408363.2015.1123215
-
Hansen, T.H., Gøbel, R.J., Hansen, T. and Pedersen, O., 2015. The gut microbiome in cardio-metabolic health. Genome Medicine 7: 33. https://doi.org/10.1186/s13073-015-0157-z
-
Jung, S., Lee, Y.J., Kim, M., Kim, M., Kwak, J.H., Lee, J.W., Ahn, Y.T., Sim, J.H. and Lee, J.H., 2015. Supplementation with two probiotic strains, Lactobacillus curvatus HY7601 and Lactobacillus plantarum KY1032, reduced body adiposity and Lp-PLA2 activity in overweight subjects. Journal of Functional Foods 19: 744-752. https://doi.org/10.1016/j.jff.2015.10.006
-
Karlsson, C.L., Onnerfält, J., Xu, J., Molin, G., Ahrné, S. and Thorngren-Jerneck, K., 2012. The microbiota of the gut in preschool children with normal and excessive body weight. Obesity 20: 2257-2261. https://doi.org/10.1038/oby.2012.110
-
Karlsson, F.H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C.J., Fagerberg, B., Nielsen, J. and Bäckhed, F., 2013. Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature 498: 99-103. https://doi.org/10.1038/nature12198
-
Lahti, L., Salojärvi, J., Salonen, A., Scheffer, M. and De Vos, W.M., 2014. Tipping elements in the human intestinal ecosystem. Nature Communications 5: 4344. https://doi.org/10.1038/ncomms5344
-
Laugerette, F., Alligier, M., Bastard, J.P., Drai, J., Chanséaume, E., Lambert-Porcheron, S., Laville, M., Morio, B., Vidal, H. and Michalski, M.C., 2014. Overfeeding increases postprandial endotoxemia in men: inflammatory outcome may depend on LPS transporters LBP and sCD14. Molecular Nutrition and Food Research 58: 1513-1518. https://doi.org/10.1002/mnfr.201400044
-
Lewis, S.J. and Heaton, K.W., 1997. Stool form scale as a useful guide to intestinal transit time. Scandinavian Journal of Gastroenterology 32: 920-924. https://doi.org/10.3109/00365529709011203
-
Matthews, D.R., Hosker, J.P., Rudenski, A.S., Naylor, B.A., Treacher, D.F. and Turner, R.C., 1985. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28: 412-419.
'Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man ' () 28 Diabetologia : 412 -419.
-
Millán, J., Pintó, X., Muñoz, A., Zúñiga, M., Rubiés-Prat, J., Pallardo, L.F., Masana, L., Mangas, A., Hernández-Mijares, A., González-Santos, P., Ascaso, J.F. and Pedro-Botet, J., 2009. Lipoprotein ratios: physiological significance and clinical usefulness in cardiovascular prevention. Vascular Health and Risk Management 5: 757-765.
'Lipoprotein ratios: physiological significance and clinical usefulness in cardiovascular prevention ' () 5 Vascular Health and Risk Management : 757 -765.
-
Mitsou, E.K., Kakali, A., Antonopoulou, S., Mountzouris, K.C., Yannakoulia, M., Panagiotakos, D.B. and Kyriacou, A., 2017. Adherence to the Mediterranean diet is associated with the gut microbiota pattern and gastrointestinal characteristics in an adult population. British Journal of Nutrition 117: 1645-1655. https://doi.org/10.1017/S0007114517001593
-
Mueller, S., Saunier, K., Hanisch, C., Norin, E., Alm, L., Midtvedt, T., Cresci, A., Silvi, S., Orpianesi, C., Verdenelli, M.C., Clavel, T., Koebnick, C., Zunft, H.J., Doré, J. and Blaut, M., 2006. Differences in fecal microbiota in different European study populations in relation to age, gender, and country: a cross-sectional study. Applied and Environmental Microbiology 72: 1027-1033. https://doi.org/10.1128/AEM.72.2.1027-1033.2006
-
Ng, T.H.S., Britton, G.J., Hill, E.V., Verhagen, J., Burton, B.R. and Wraith, D.C., 2013. Regulation of adaptive immunity; the role of interleukin-10. Frontiers in Immunology 4: 129. https://doi.org/10.3389/fimmu.2013.00129
-
Plovier, H., Everard, A., Druart, C., Depommier, C., Van Hul, M., Geurts, L., Chilloux, J., Ottman, N., Duparc, T., Lichtenstein, L., Myridakis, A., Delzenne, N.M., Klievink, J., Bhattacharjee, A., Van der Ark, K.C., Aalvink, S., Martinez, L.O., Dumas, M.E., Maiter, D., Loumaye, A., Hermans, M.P., Thissen, J.P., Belzer, C., De Vos, W.M. and Cani, P.D., 2017. A purified membrane protein from Akkermansia muciniphila or the pasteurized bacterium improves metabolism in obese and diabetic mice. Nature Medicine 23: 107-113. https://doi.org/10.1038/nm.4236
-
Rouhani, M.H., Hadi, A., Ghaedi, E., Salehi, M., Mahdavi, A. and Mohammadi, H., in press. Do probiotics, prebiotics and synbiotics affect adiponectin and leptin in adults? A systematic review and meta-analysis of clinical trials. Clinical Nutrition. https://doi.org/10.1016/j.clnu.2018.09.033
-
Schneeberger, M., Everard, A., Gómez-Valadés, A.G., Matamoros, S., RamÃrez, S., Delzenne, N.M., Gomis, R., Claret, M. and Cani, P.D., 2015. Akkermansia muciniphila inversely correlates with the onset of inflammation, altered adipose tissue metabolism and metabolic disorders during obesity in mice. Scientific Reports 5: 16643. https://doi.org/10.1038/srep16643
-
Shimizu, J., Kubota, T., Takada, E., Takai, K., Fujiwara, N., Arimitsu, N., Murayama, M.A., Ueda, Y., Wakisaka, S., Suzuki, T. and Suzuki, N., 2018. Propionate-producing bacteria in the intestine may associate with skewed responses of IL10-producing regulatory T cells in patients with relapsing polychondritis. PLoS ONE 13: e0203657. https://doi.org/10.1371/journal.pone.0203657
-
Sun, L., Ma, L., Ma, Y., Zhang, F., Zhao, C. and Nie, Y., 2018. Insights into the role of gut microbiota in obesity: pathogenesis, mechanisms, and therapeutic perspectives. Protein and Cell 9: 397-403. https://doi.org/10.1007/s13238-018-0546-3
-
Teixeira, T.F.S., GrzeÅkowiak, L.M., Salminen, S., Laitinen, K., Bressan, J. and Gouveia Peluzio Mdo, C., 2013. Faecal levels of Bifidobacterium and Clostridium coccoides but not plasma lipopolysaccharide are inversely related to insulin and HOMA index in women. Clinical Nutrition 32: 1017-1022. https://doi.org/10.1016/j.clnu.2013.02.008
-
Tremaroli, V. and Bäckhed, F., 2012. Functional interactions between the gut microbiota and host metabolism. Nature 489: 242-249. https://doi.org/10.1038/nature11552
-
Vandeputte, D., Falony, G., Vieira-Silva, S., Tito, R.Y., Joossens, M. and Raes, J., 2016. Stool consistency is strongly associated with gut microbiota richness and composition, enterotypes and bacterial growth rates. Gut 65: 57-62. https://doi.org/10.1136/gutjnl-2015-309618
-
World Health Organisation (WHO), 2000. Obesity: preventing and managing the global epidemic: report of a WHO consultation. WHO Technical Report Series 894: 1-253.
-
Yassour, M., Lim, M.Y., Yun, H.S., Tickle, T.L., Sung, J., Song, Y.M., Lee, K., Franzosa, E.A., Morgan, X.C., Gevers, D., Lander, E.S., Xavier, R.J., Birren, B.W., Ko, G. and Huttenhower, C., 2016. Sub-clinical detection of gut microbial biomarkers of obesity and type 2 diabetes. Genome Medicine 8: 17. https://doi.org/10.1186/s13073-016-0271-6
-
Zhang, L., Qin, Q., Liu, M., Zhang, X., He, F. and Wang, G., 2018. Akkermansia muciniphila can reduce the damage of gluco/lipotoxicity, oxidative stress and inflammation, and normalize intestine microbiota in streptozotocin-induced diabetic rats. Pathogens and Disease 76: fty028. https://doi.org/10.1093/femspd/fty028
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Mining possible associations of faecal A. muciniphila colonisation patterns with host adiposity and cardiometabolic markers in an adult population
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We aimed to evaluate colonisation patterns of Akkermansia muciniphila in a Greek adult population and to investigate model-adjusted associations of A. muciniphila with host adiposity and cardiometabolic markers. Participants (n=125) underwent anthropometric, dietary, physical activity and lifestyle evaluation. Blood sampling for determination of blood lipid indices, glucose metabolism, adiponectin, lipoprotein-associated phospholipase A2 (Lp-PLA2), inflammation and oxidative stress parameters was also performed. Stool A. muciniphila presence and levels were determined by quantitative PCR and subjects were grouped based on bimodal distribution of levels (Low vs High). A. muciniphila was detected in 88.6% of participants. Overweight/obese (OW/OB) subjects were more prone in low bimodal levels of A. muciniphila compared to normal-weight (NW) individuals (58.75 vs 27.59%, P=0.004), with a 4-time greater likelihood after multi-adjusted logistic regression analysis (P=0.016). Levels of A. muciniphila were negatively associated with total cholesterol/high-density lipoprotein cholesterol (TC/HDL-C) ratio (log10:-0.009±0.004, P=0.033), whereas detection of this bacterium was negatively associated with both TC/HDL-C ratio (log10: -0.049±0.023, P=0.036) and low-density lipoprotein cholesterol/HDL-C ratio (-0.407±0.176, P=0.023). Furthermore, low bimodal levels of A. muciniphila were positively associated with fasting blood glucose (log10: 0.018±0.009, P=0.037). In terms of inflammation markers, levels of A. muciniphila were positively associated with soluble cluster of differentiation-14 (sCD14) (log10: 0.012±0.004, P=0.003) and faecal detection of this bacterium had a positive association with anti-inflammatory interleukin 10 levels (log10: 0.325±0.131, P=0.015). In addition, A. muciniphila levels were positively associated with total adiponectin (log10: 0.046±0.015, P=0.002), whereas low bimodal levels of A. muciniphila had an inverse relationship with this blood marker (log10: -0.131±0.053, P=0.016). In conclusion, we confirmed the previously reported association of A. muciniphila with metabolic health for the first time in a Greek urban population; furthermore, we shed some light to novel atherosclerotic risk markers with rather unexplored connections with A. muciniphila colonisation patterns in human subjects.
| å ¨é¨æé´ | è¿å»ä¸å¹´ | è¿å»30天 | |
|---|---|---|---|
| æè¦æµè§æ¬¡æ° | 340 | 132 | 22 |
| å ¨ææµè§æ¬¡æ° | 43 | 2 | 1 |
| PDFä¸è½½æ¬¡æ° | 28 | 0 | 0 |
