Impact of structurally diverse polysaccharides on colonic mucin O-glycosylation and gut microbiota

被引:21
作者
Zhao, Tong [1 ]
Zhang, Yue [1 ]
Nan, Linhua [1 ]
Zhu, Qing [1 ]
Wang, Shukai [1 ]
Xie, Yutao [1 ]
Dong, Xinling [1 ]
Cao, Cui [1 ]
Lin, Xiaoliang [2 ]
Lu, Yu [1 ]
Liu, Yuxia [1 ]
Huang, Linjuan [1 ]
Gong, Guiping [1 ]
Wang, Zhongfu [1 ]
机构
[1] Northwest Univ, Coll Food Sci & Technol, Shaanxi Nat Carbohydrate Resource Engn Res Ctr, Xian 710069, Peoples R China
[2] Infinitus China Co Ltd, Guangzhou 510000, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
INTESTINAL MUCUS; BARRIER; EXPRESSION; THICKNESS; COLITIS; STRESS; RATS;
D O I
10.1038/s41522-023-00468-3
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Understanding how dietary polysaccharides affect mucin O-glycosylation and gut microbiota could provide various nutrition-based treatments. Here, the O-glycan profile of the colonic mucosa and gut microbiome were investigated in C57BL/6J mice fed six structurally diverse dietary polysaccharides and a mixture of six fibers. Dietary polysaccharides increased total O-glycans, mainly by stimulating neutral glycans. Highly branched arabinogalactan promoted terminally fucosylated core 1 O-glycans; whereas linear polysaccharides, including pectin, konjac glucomannan, inulin, and the fiber mixture, favored terminally di-fucosylated O-glycans. The last three polysaccharides also lowered the level of sulfated O-glycans and sialylated mono-fucosylated O-glycans. Varied monosaccharide composition in mixed polysaccharides had a synergistic beneficial effect, boosting fucosylated neutral glycans, decreasing acidic glycans, and stimulating microbial richness and diversity. Dietary polysaccharides containing arabinose and sulfate groups enhanced the relative abundances of Akkermansia and Muribaculaceae, respectively. The present comparison reveals the relationship between dietary polysaccharide structure, mucin O-glycan composition, and intestinal microorganisms.
引用
收藏
页数:13
相关论文
共 51 条
[1]   Increased susceptibility to colitis and colorectal tumors in mice lacking core 3-derived O-glycans [J].
An, Guangyu ;
Wei, Bo ;
Xia, Baoyun ;
McDaniel, J. Michael ;
Ju, Tongzhong ;
Cummings, Richard D. ;
Braun, Jonathan ;
Xia, Lijun .
JOURNAL OF EXPERIMENTAL MEDICINE, 2007, 204 (06) :1417-1429
[2]   Intestinal Muc2 mucin O-glycosylation is affected by microbiota and regulated by differential expression of glycosyltranferases [J].
Arike, Liisa ;
Holmen-Larsson, Jessica ;
Hansson, Gunnar C. .
GLYCOBIOLOGY, 2017, 27 (04) :318-328
[3]   The adherent gastrointestinal mucus gel layer: thickness and physical state in vivo [J].
Atuma, C ;
Strugala, V ;
Allen, A ;
Holm, L .
AMERICAN JOURNAL OF PHYSIOLOGY-GASTROINTESTINAL AND LIVER PHYSIOLOGY, 2001, 280 (05) :G922-G929
[4]   The influence of in vitro pectin fermentation on the human fecal microbiome [J].
Bang, So-Jung ;
Kim, Gayoung ;
Lim, Mi Young ;
Song, Eun-Ji ;
Jung, Dong-Hyun ;
Kum, Jun-Seok ;
Nam, Young-Do ;
Park, Cheon-Seok ;
Seo, Dong-Ho .
AMB EXPRESS, 2018, 8
[5]   The biology of mucus: Composition, synthesis and organization [J].
Bansil, Rama ;
Turner, Bradley S. .
ADVANCED DRUG DELIVERY REVIEWS, 2018, 124 :3-15
[6]   Proximal colon-derived O-glycosylated mucus encapsulates and modulates the microbiota [J].
Bergstrom, Kirk ;
Shan, Xindi ;
Casero, David ;
Batushansky, Albert ;
Lagishetty, Venu ;
Jacobs, Jonathan P. ;
Hoover, Christopher ;
Kondo, Yuji ;
Shao, Bojing ;
Gao, Liang ;
Zandberg, Wesley ;
Noyovitz, Benjamin ;
McDaniel, J. Michael ;
Gibson, Deanna L. ;
Pakpour, Sepideh ;
Kazemian, Negin ;
McGee, Samuel ;
Houchen, Courtney W. ;
Rao, Chinthalapally V. ;
Griffin, Timothy M. ;
Sonnenburg, Justin L. ;
McEver, Rodger P. ;
Braun, Jonathan ;
Xia, Lijun .
SCIENCE, 2020, 370 (6515) :467-472
[7]  
Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
[8]  
Calvete-torre Ines, 2022, Food Hydrocolloids, DOI 10.1016/j.foodhyd.2022.107958
[9]  
Cao C, 2021, FOOD FUNCT, V12, P9829, DOI [10.1039/d1fo01200b, 10.1039/D1FO01200B]
[10]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336