Impact of healthy aging on active bacterial assemblages throughout the gastrointestinal tract

被引:12
作者
Schuette, Kerstin [1 ,2 ]
Schulz, Christian [1 ,3 ]
Vilchez-Vargas, Ramiro [1 ]
Vasapolli, Riccardo [1 ,3 ]
Palm, Frederike [1 ]
Simon, Bianca [2 ]
Schomburg, Dirk [4 ]
Lux, Anke [4 ]
Geffers, Robert [5 ]
Pieper, Dietmar H. [6 ]
Link, Alexander [1 ]
Malfertheiner, Peter [1 ,3 ]
机构
[1] Otto von Guericke Univ, Dept Gastroenterol Hepatol & Infect Dis, Magdeburg, Germany
[2] Niels Stensen Kliniken Marienhosp Osnabruck, Dept Internal Med & Gastroenterol, Bischofsstr 1, Osnabruck, Germany
[3] Univ Hosp, Dept Internal Med 2, Munich, Germany
[4] Otto von Guericke Univ, Inst Biometry & Med Informat, Magdeburg, Germany
[5] Helmholtz Ctr Infect Res, GMAK Res Grp, Braunschweig, Germany
[6] Helmholtz Ctr Infect Res, Microbial Interact & Proc MINP Res Grp, Braunschweig, Germany
关键词
Healthy aging; gut microbiota; nutrition; physical fitness; microbiome; COMPREHENSIVE GERIATRIC ASSESSMENT; PHASE-ANGLE; GUT MICROBIOME; AGE; VALIDATION; ILLNESS; INDEX; DIET;
D O I
10.1080/19490976.2021.1966261
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
The adaption of gut microbiota (GM) throughout human life is a key factor in maintaining health. Interventions to restore a healthy GM composition may have the potential to improve health and disease outcomes in the elderly. We performed a comprehensive characterization of changes in the luminal and mucosa-associated microbiota composition in elderly compared with younger healthy individuals. Samples from saliva and feces, and biopsies from the upper and lower gastrointestinal tract (UGIT, LGIT), were collected from 59 asymptomatic individuals grouped by age: 40-55, 56-70, and 71-85 years). All underwent anthropometric, geriatric, and nutritional assessment. RNA was extracted and reverse-transcribed into complementary DNA; the V1-V2 regions of 16S ribosomal RNA genes were amplified and sequenced. Abundances of the taxa in all taxonomic ranks in each sample type were used to construct sample-similarity matrices by the Bray-Curtis algorithm. Significant differences between defined groups were assessed by analysis of similarity. The bacterial community showed strong interindividual variations and a clear distinction between samples from UGIT, LGIT, and feces. While in saliva some taxa were affected by aging, this number was considerably greater in UGIT and was subsequently higher in LGIT. Unexpectedly, aging scarcely influenced the bacterial community of feces over the age range of 40-85 years. The development of interventions to preserve and restore human health with increased age by establishing a healthy gut microbiome should not rely solely on data from fecal analysis, as the intestinal mucosa is affected by more significant changes, which differ from those observed in fecal analyses.
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页数:18
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共 64 条
[41]   phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data [J].
McMurdie, Paul J. ;
Holmes, Susan .
PLOS ONE, 2013, 8 (04)
[42]   Differences in fecal microbiota in different European study populations in relation to age, gender, and country:: A cross-sectional study [J].
Mueller, S ;
Saunier, K ;
Hanisch, C ;
Norin, E ;
Alm, L ;
Midtvedt, T ;
Cresci, A ;
Silvi, S ;
Orpianesi, C ;
Verdenelli, MC ;
Clavel, T ;
Koebnick, C ;
Zunft, HJF ;
Doré, J ;
Blaut, M .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2006, 72 (02) :1027-1033
[43]   Fitting portion sizes in a self-administered food frequency questionnaire [J].
Noethlings, Ute ;
Hoffmann, Kurt ;
Bergmann, Manuela M. ;
Boeing, Heiner .
JOURNAL OF NUTRITION, 2007, 137 (12) :2781-2786
[44]   Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study [J].
Odamaki, Toshitaka ;
Kato, Kumiko ;
Sugahara, Hirosuke ;
Hashikura, Nanami ;
Takahashi, Sachiko ;
Xiao, Jin-zhong ;
Abe, Fumiaki ;
Osawa, Ro .
BMC MICROBIOLOGY, 2016, 16
[45]   Composition of salivary microbiota in elderly subjects [J].
Ogawa, Taiji ;
Hirose, Yujiro ;
Honda-Ogawa, Mariko ;
Sugimoto, Minami ;
Sasaki, Satoshi ;
Kibi, Masahito ;
Kawabata, Shigetada ;
Ikebe, Kazunori ;
Maeda, Yoshinobu .
SCIENTIFIC REPORTS, 2018, 8
[46]   The Gut-Brain Axis and the Microbiome: Mechanisms and Clinical Implications [J].
Osadchiy, Vadim ;
Martin, Clair R. ;
Mayer, Emeran A. .
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, 2019, 17 (02) :322-332
[47]   The function of our microbiota: who is out there and what do they do? [J].
Ottman, Noora ;
Smidt, Hauke ;
de Vos, Willem M. ;
Belzer, Clara .
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2012, 2 :104
[48]   SHORT PORTABLE MENTAL STATUS QUESTIONNAIRE FOR ASSESSMENT OF ORGANIC BRAIN DEFICIT IN ELDERLY PATIENTS [J].
PFEIFFER, E .
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 1975, 23 (10) :433-441
[49]   Development and validation of a multidimensional prognostic index for one-year mortality from comprehensive geriatric assessment in hospitalized older patients [J].
Pilotto, Alberto ;
Ferrucci, Luigi ;
Franceschi, Marilisa ;
D'Ambrosio, Luigi P. ;
Scarcelli, Carlo ;
Cascavilla, Leandro ;
Paris, Francesco ;
Placentino, Giuliana ;
Seripa, Davide ;
Dallapiccola, Bruno ;
Leandro, Gioacchino .
REJUVENATION RESEARCH, 2008, 11 (01) :151-161
[50]   The Comprehensive Geriatric Assessment and the multidimensional approach. A new look at the older patient with gastroenterological disorders [J].
Pilotto, Alberto ;
Addante, Filomena ;
D'Onofrio, Grazia ;
Sancarlo, Daniele ;
Ferrucci, Luigi .
BEST PRACTICE & RESEARCH CLINICAL GASTROENTEROLOGY, 2009, 23 (06) :829-837