TY - JOUR
T1 - The relationship between the gut microbiome and mild cognitive impairment in patients without dementia
T2 - a cross-sectional study conducted in Japan
AU - Saji, Naoki
AU - Murotani, Kenta
AU - Hisada, Takayoshi
AU - Tsuduki, Tsuyoshi
AU - Sugimoto, Taiki
AU - Kimura, Ai
AU - Niida, Shumpei
AU - Toba, Kenji
AU - Sakurai, Takashi
N1 - Funding Information:
N.S. has received grants from the NARO Bio-oriented Technology Research Advancement Institution project (Advanced Integration Research for Agriculture and Interdisciplinary Fields) and the BMS/Pfizer Japan Thrombosis Investigator Initiated Research Program. N.S., S.N. and T.S. have received research grants from the Research Funding of Longevity Sciences from the National Center for Geriatrics and Gerontology. N.S., K.T. and T.S. have received research funds for Comprehensive Research on Aging and Health from the Japan Agency for Medical Research and Development (AMED). T.T. has received grants from the NARO Bio-oriented Technology Research Advancement Institution project (Advanced Integration Research for Agriculture and Interdisciplinary Fields).
Funding Information:
This study was supported by research grants from the Research Funding of Longevity Sciences (26–20, 27–21, 28–15, 30–1, and 19–24), the National Center for Geriatrics and Gerontology, and the National Agriculture and Food Research Organization (NARO) Bio-oriented Technology Research Advancement Institution project (Advanced Integration Research for Agriculture and Interdisciplinary Fields). We thank Maki Yamamoto, Yukie Ohsaki, Saori Yoshimura, Hana Saito, and Ayaka Suzuki (NCGG), and Yuya Shinkawa (Kurume University) for their technical and secretarial assistance, and the BioBank, NCGG, for quality control of the clinical samples and data. We thank Rachel James and Lisa Giles, PhD, from Edanz Group (www.edanzediting.com/ac) for editing drafts of this manuscript.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Recent studies have revealed an association between the dysregulation of the gut microbiome and dementia. However, whether this dysregulation is associated with mild cognitive impairment (MCI), an early stage of cognitive decline, in patients without dementia remains unclear. We performed a cross-sectional analysis to determine the association between the gut microbiome and MCI. Data, including patient demographics, risk factors, cognitive function, and brain imaging, were collected. The gut microbiome was assessed through terminal restriction fragment length polymorphism analysis. Multivariable logistic regression models were used to identify factors independently associated with MCI. Graphical modelling was used to illustrate mutual associations between MCI and identified factors. We analysed 82 patients, 61 of whom exhibited MCI. Patients with MCI had a higher prevalence of Bacteroides. Furthermore, patients with more Bacteroides were more likely to present with white matter hyperintensity and high voxel-based specific regional analysis system for Alzheimer’s Disease (VSRAD) scores, indicating cortical and hippocampal atrophy. A multivariable logistic regression analysis revealed that a greater prevalence of Bacteroides was independently associated with MCI. Graphical modelling also showed a close association between Bacteroides and MCI. In conclusion, an increased prevalence of Bacteroides is independently associated with the presence of MCI in patients without dementia.
AB - Recent studies have revealed an association between the dysregulation of the gut microbiome and dementia. However, whether this dysregulation is associated with mild cognitive impairment (MCI), an early stage of cognitive decline, in patients without dementia remains unclear. We performed a cross-sectional analysis to determine the association between the gut microbiome and MCI. Data, including patient demographics, risk factors, cognitive function, and brain imaging, were collected. The gut microbiome was assessed through terminal restriction fragment length polymorphism analysis. Multivariable logistic regression models were used to identify factors independently associated with MCI. Graphical modelling was used to illustrate mutual associations between MCI and identified factors. We analysed 82 patients, 61 of whom exhibited MCI. Patients with MCI had a higher prevalence of Bacteroides. Furthermore, patients with more Bacteroides were more likely to present with white matter hyperintensity and high voxel-based specific regional analysis system for Alzheimer’s Disease (VSRAD) scores, indicating cortical and hippocampal atrophy. A multivariable logistic regression analysis revealed that a greater prevalence of Bacteroides was independently associated with MCI. Graphical modelling also showed a close association between Bacteroides and MCI. In conclusion, an increased prevalence of Bacteroides is independently associated with the presence of MCI in patients without dementia.
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U2 - 10.1038/s41598-019-55851-y
DO - 10.1038/s41598-019-55851-y
M3 - Article
C2 - 31852995
AN - SCOPUS:85076886771
VL - 9
JO - Scientific Reports
JF - Scientific Reports
SN - 2045-2322
IS - 1
M1 - 19227
ER -