Habitual Dietary Intake Is Associated with Stool Microbiota Composition in Monozygotic Twins

被引:103
|
作者
Simoes, Catarina D. [1 ]
Maukonen, Johanna [1 ]
Kaprio, Jaakko [2 ,3 ,4 ]
Rissanen, Aila [5 ]
Pietilainen, Kirsi H. [2 ,3 ,5 ,6 ]
Saarela, Maria [1 ]
机构
[1] VTT Tech Res Ctr Finland, Espoo, Finland
[2] Univ Helsinki, Hjelt Inst, Dept Publ Hlth, Helsinki, Finland
[3] Univ Helsinki, FIMM Inst Mol Med Finland, Helsinki, Finland
[4] Natl Inst Hlth & Welf, Dept Mental Hlth & Substance Abuse Serv, Helsinki, Finland
[5] Univ Helsinki, Cent Hosp, Div Endocrinol, Obes Res Unit, Helsinki, Finland
[6] Univ Helsinki, Inst Clin Med, Helsinki, Finland
来源
JOURNAL OF NUTRITION | 2013年 / 143卷 / 04期
基金
芬兰科学院;
关键词
DNA-EXTRACTION METHODS; HUMAN GUT MICROBIOTA; FATTY-ACIDS; FAECALIBACTERIUM-PRAUSNITZII; WEIGHT-LOSS; BACTERIAL; LACTOBACILLUS; FERMENTATION; BARRIER; OBESE;
D O I
10.3945/jn.112.166322
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
The impact of diet on the gut microbiota has usually been assessed by subjecting people to the same controlled diet and thereafter following the shifts in the microbiota. In the present study, we used habitual dietary intake, clinical data, quantitative polymerase chain reaction, and denaturing gradient gel electrophoresis (DGGE) to characterize the stool microbiota of Finnish monozygotic twins. The effect of diet on the numbers of bacteria was described through a hierarchical linear mixed model that included the twin individuals, stratified by body mass index, and their families as random effects. The abundance and diversity of the bacterial groups studied did not differ between normal-weight, overweight, and obese individuals with the techniques used. Intakes of energy, monounsaturated fatty acids, n3 polyunsaturated fatty acids (PUFAs), n6 PUFAs, and soluble fiber had significant associations with the stool bacterial numbers (e.g., increased energy intake was associated with reduced numbers of Bacteroides spp.). In addition, co-twins with identical energy intake had more similar numbers and DGGE-profile diversities of Bacteroides spp. than did the co-twins with different intake. Moreover, the co-twins who ingested the same amounts of saturated fatty acids had very similar DGGE profiles of Bacteroides spp., whereas the co-twins with similar consumption of fiber had a very low bifidobacterial DGGE-profile similarity. In conclusion, our findings confirm that the diet plays an important role in the modulation of the stool microbiota, in particular Bacteroides spp. and bifidobacteria. J. Nutr. 143: 417-423, 2013.
引用
收藏
页码:417 / 423
页数:7
相关论文
共 50 条
  • [21] Microbiota conservation and BMI signatures in adult monozygotic twins
    Sebastian Tims
    Catherine Derom
    Daisy M Jonkers
    Robert Vlietinck
    Wim H Saris
    Michiel Kleerebezem
    Willem M de Vos
    Erwin G Zoetendal
    The ISME Journal, 2013, 7 : 707 - 717
  • [22] Microbiota conservation and BMI signatures in adult monozygotic twins
    Tims, Sebastian
    Derom, Catherine
    Jonkers, Daisy M.
    Vlietinck, Robert
    Saris, Wim H.
    Kleerebezem, Michiel
    de Vos, Willem M.
    Zoetendal, Erwin G.
    ISME JOURNAL, 2013, 7 (04): : 707 - 717
  • [23] Higher dietary flavonoid intakes are associated with lower objectively measured body composition in women: evidence from discordant monozygotic twins
    Jennings, Amy
    MacGregor, Alex
    Spector, Tim
    Cassidy, Aedin
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2017, 105 (03): : 626 - 634
  • [24] Stool microbiota composition is associated with the prospective risk of Plasmodium falciparum infection
    Shibu Yooseph
    Ewen F. Kirkness
    Tuan M. Tran
    Derek M. Harkins
    Marcus B. Jones
    Manolito G. Torralba
    Elise O’Connell
    Thomas B. Nutman
    Safiatou Doumbo
    Ogobara K. Doumbo
    Boubacar Traore
    Peter D. Crompton
    Karen E. Nelson
    BMC Genomics, 16
  • [25] High habitual dietary α-linolenic acid intake is associated with decreased plasma soluble interleukin-6 receptor concentrations in male twins
    Dai, Jun
    Ziegler, Thomas R.
    Bostick, Roberd M.
    Manatunga, Amita K.
    Jones, Dean P.
    Goldberg, Jack
    Miller, Andrew
    Vogt, Gerald
    Wilson, Peter W.
    Jones, Linda
    Shallenberger, Lucy
    Vaccarino, Viola
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2010, 92 (01): : 177 - 185
  • [26] Stool microbiota composition is associated with the prospective risk of Plasmodium falciparum infection
    Yooseph, Shibu
    Kirkness, Ewen F.
    Tran, Tuan M.
    Harkins, Derek M.
    Jones, Marcus B.
    Torralba, Manolito G.
    O'Connell, Elise
    Nutman, Thomas B.
    Doumbo, Safiatou
    Doumbo, Ogobara K.
    Traore, Boubacar
    Crompton, Peter D.
    Nelson, Karen E.
    BMC GENOMICS, 2015, 16
  • [27] Eosinophils Modulate the Composition of Stool Microbiota
    Masterson, Joanne
    Kelly, Caleb
    Schroeder, Shauna
    Harris, Jonathan
    Wagner, Brandie
    Stevens, Mark
    Fang, Rui
    Hosford, Lindsay
    Choe, Ha Na
    Lee, James
    Furuta, Glenn
    Fillon, Sophie
    INFLAMMATORY BOWEL DISEASES, 2012, 18 : S115 - S115
  • [28] Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake
    Holmes, Zachary C.
    Villa, Max M.
    Durand, Heather K.
    Jiang, Sharon
    Dallow, Eric P.
    Petrone, Brianna L.
    Silverman, Justin D.
    Lin, Pao-Hwa
    David, Lawrence A.
    MICROBIOME, 2022, 10 (01)
  • [29] Gut Microbiota in Monozygotic Twins Discordant for Parkinson's Disease
    Bolliri, Carlotta
    Fontana, Alessandra
    Cereda, Emanuele
    Barichella, Michela
    Cilia, Roberto
    Ferri, Valentina
    Caronni, Serena
    Calandrella, Daniela
    Morelli, Lorenzo
    Pezzoli, Gianni
    ANNALS OF NEUROLOGY, 2022, 92 (04) : 631 - 636
  • [30] Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake
    Zachary C. Holmes
    Max M. Villa
    Heather K. Durand
    Sharon Jiang
    Eric P. Dallow
    Brianna L. Petrone
    Justin D. Silverman
    Pao-Hwa Lin
    Lawrence A. David
    Microbiome, 10