scholarly journals Elderly Patients with Mild Cognitive Impairment Exhibit Altered Gut Microbiota Profiles

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qiong Pan ◽  
Ya-Qian Li ◽  
Ke Guo ◽  
Min Xue ◽  
Yu Gan ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gut Microbiota ◽  
Normal Control ◽  
Bacterial Species ◽  
Natural Aging ◽  
Microbial Composition ◽  
Principal Coordinates Analysis ◽  
Transitional State ◽  
Principal Coordinates

Background. As a transitional state between normal aging and Alzheimer’s disease (AD), mild cognitive impairment (MCI) is characterized by a worse cognitive decline than that of natural aging. The association between AD and gut microbiota has been reported in a number of studies; however, microbial research regarding MCI remains limited. Methods. This study examined 48 participants, of whom 22 were MCI cases and 26 were normal control cases. Fecal samples were collected for 16S ribosomal RNA (rRNA) quantitative arrays and bioinformatics analysis. Results. A principal coordinates analysis (PCoA) and nonmetric multidimensional scaling (NMDS) both demonstrated that the microbial composition of participants with MCI deviated from that of healthy control participants. Multiple bacterial species were significantly increased (e.g., Staphylococcus intermedius) or decreased (e.g., Bacteroides salyersiae) in samples from the MCI group. Conclusion. The composition of gut microbiota differed between normal control and MCI cases. This is the first study to identify a signature series of species in the gut microbiota of individuals with MCI. The results provide a new direction for the future development of an early diagnosis and probiotic regimen.

scholarly journals Elderly patients of mild cognitive impairment exhibit altered profiles of the gut microbiota

2020 ◽  
Author(s):  
Qiong Pan ◽  
Ya-Qian Li ◽  
Ke Guo ◽  
Min Xue ◽  
Yu Gan ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gut Microbiota ◽  
Bacterial Species ◽  
Natural Aging ◽  
Microbial Composition ◽  
Principal Coordinates Analysis ◽  
Transitional State ◽  
Staphylococcus Intermedius ◽  
Principal Coordinates

Abstract Background As the transitional state between normal aging and Alzheimer’s disease (AD), mild cognitive impairment (MCI) is characterized by cognitive decline greater than natural aging. While the association between AD and gut microbiota has been reported in a number of studies, there is still very limited microbial research about MCI. Methods Here we enrolled 48 participants, including 22 MCI cases and 26 normal controls. Fecal samples were collected for 16S rRNA quantitative arrays and bioinformatics analysis. Results Both Principal Coordinates Analysis (PCoA) and Non-metric Multidimensional scaling (NMDS) demonstrated that the microbial composition of MCI individuals deviated from the cluster of healthy controls. Multiple bacterial species were significantly increased (e.g., Staphylococcus intermedius) or decreased (e.g., Bacteroides salyersiae) in the samples from MCI group. Conclusion Therefore, the composition of gut microbiota differed between control subjects and MCI cases. Our study is the first to identify a series of MCI signature species in the gut microbiota, thus providing a new direction for future development of early diagnosis and probiotics regimen.

scholarly journals Elderly patients of mild cognitive impairment exhibit altered profiles of the gut microbiota

2020 ◽  
Author(s):  
Qiong Pan ◽  
Ya-Qian Li ◽  
Ke Guo ◽  
Min Xue ◽  
Yu Gan ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gut Microbiota ◽  
Bacterial Species ◽  
Natural Aging ◽  
Microbial Composition ◽  
Principal Coordinates Analysis ◽  
Transitional State ◽  
Staphylococcus Intermedius ◽  
Principal Coordinates

Abstract Background As the transitional state between normal aging and Alzheimer’s disease (AD), mild cognitive impairment (MCI) is characterized by cognitive decline greater than natural aging. While the association between AD and gut microbiota has been reported in a number of studies, there is still very limited microbial research about MCI. Methods Here we enrolled 48 participants, including 22 MCI cases and 26 normal controls. Fecal samples were collected for 16S rRNA quantitative arrays and bioinformatics analysis. Results Both Principal Coordinates Analysis (PCoA) and Non-metric Multidimensional scaling (NMDS) demonstrated that the microbial composition of MCI individuals deviated from the cluster of healthy controls. Multiple bacterial species were significantly increased (e.g., Staphylococcus intermedius) or decreased (e.g., Bacteroides salyersiae) in the samples from MCI group. Conclusion Therefore, the composition of gut microbiota differed between control subjects and MCI cases. Our study is the first to identify a series of MCI signature species in the gut microbiota, thus providing a new direction for future development of early diagnosis and probiotics regimen.

Mild cognitive impairment has similar alterations as Alzheimer's disease in gut microbiota

2019 ◽  
Vol 15 (10) ◽  
pp. 1357-1366 ◽  
Author(s):  
Binyin Li ◽  
Yixi He ◽  
Jianfang Ma ◽  
Pei Huang ◽  
Juanjuan Du ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Gut Microbiota

Comparison of the Mini-Mental State Examination and Computerized Brief Cognitive Screening Test as Cognitive Screening Tools in Patients with Mild Cognitive Impairment

2021 ◽  
Vol 18 ◽  
Author(s):  
Che-Sheng Chu ◽  
I-Chen Lee ◽  
Chuan-Cheng Hung ◽  
I-Ching Lee ◽  
Chi-Fa Hung ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Normal Control ◽  
Internal Consistency ◽  
Mental State ◽  
Screening Test ◽  
Mini Mental State Examination ◽  
Cognitive Screening ◽  
Validity And Reliability ◽  
State Examination

Background: The aim of this study was to establish the validity and reliability of the Computerized Brief Cognitive Screening Test (CBCog) for early detection of cognitive impairment. Method: One hundred and sixty participants, including community-dwelling and out-patient volunteers (both men and women) aged ≥ 65 years, were enrolled in the study. All participants were screened using the CBCog and Mini-Mental State Examination (MMSE). The internal consistency of the CBCog was analyzed using Cronbach’s α test. Areas under the curves (AUCs) of receiver operating characteristic analyses were used to test the predictive accuracy of the CBCog in detecting mild cognitive impairment (MCI) in order to set an appropriate cutoff point. Results: The CBCog scores were positively correlated with the MMSE scores of patients with MCI-related dementia (r = 0.678, P < .001). The internal consistency of the CBCog (Cronbach’s α) was 0.706. It was found that the CBCog with a cutoff point of 19/20 had a sensitivity of 97.5% and a specificity of 53.7% for the diagnosis of MCI with education level ≥ 6 years. The AUC of the CBCog for discriminating the normal control elderly from patients with MCI (AUC = 0.827, P < 0.001) was larger than that of the MMSE for discriminating the normal control elderly from patients with MCI (AUC= 0.819, P < .001). Conclusion: The CBCog demonstrated to have sufficient validity and reliability to evaluate mild cognitive impairment, especially in highly educated elderly people.

Mild Cognitive Impairment: An Overview

CNS Spectrums ◽  
2008 ◽  
Vol 13 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Ronald C. Petersen ◽  
Selamawit Negash
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Normal Aging ◽  
Future Research ◽  
Community Based ◽  
Cognitive Changes ◽  
Nutritional Interventions ◽  
Transitional State ◽  
Research Perspectives ◽  
Early Dementia

ABSTRACTMild cognitive impairment (MCI) refers to the transitional state between the cognitive changes of normal aging and very early dementia. MCI has generated a great deal of research from both clinical and research perspectives. Several population- and community-based studies have documented an accelerated rate of progression to dementia and Alzheimer's disease in individuals diagnosed with MCI. Clinical subtypes of MCI have been proposed to broaden the concept and include prodromal forms of a variety of dementias. An algorithm is presented to assist the clinician in identifying subjects and subclassifying them into the various types of MCI. Progression factors, including genetic, neuroimaging, biomarker, and clinical characteristics, are discussed. Neuropathological studies indicating an intermediate state between normal aging and early dementia in subjects with MCI are presented. The recently completed clinical trials as well as neuropsychological and nutritional interventions are discussed. Finally, the clinical utility of MCI, and directions for future research are proposed.

scholarly journals Comparison of human gut microbial profiles of matched faecal and biopsy samples from healthy individuals using culture dependent and independent methods

2020 ◽  
Vol 2 (7A) ◽  
Author(s):  
Indrani Mukhopadhya ◽  
Jenny Martin ◽  
Sophie Shaw ◽  
Irini Lazou Ahrén ◽  
Niklas Larsson ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Healthy Volunteers ◽  
Distance Matrix ◽  
Gastrointestinal Diseases ◽  
Rrna Gene ◽  
Sequence Variant ◽  
Principal Coordinates Analysis ◽  
Principal Coordinates ◽  
Faecal Samples ◽  
The Family

Faecal samples have often been used to characterise the gut microbiota in health and disease. There is significant debate whether faecal bacterial communities accurately reflect the mucosa associated bacterial populations, which are considered critical in the aetiopathogenesis of several gastrointestinal diseases. We simultaneously assessed faecal and mucosal microbiota from healthy volunteers to unravel the degree of concordance between the two profiles. Paired fresh rectal biopsies and faecal samples were obtained from ten healthy volunteers and processed under stringent anaerobic conditions. Composition and diversity of the microbiota were studied using next generation sequencing targeting the 16S ribosomal nucleic acid (rRNA) gene and culturomics. Bacterial richness and diversity were comparable between mucosal and faecal samples with no significant statistical differences. The relative abundance of Oxalobacteraceae, Propionibacteriaceae, Campylobacteraceae and Corynebacteriaceae were significantly increased (Corncob analysis; FDR=0.00027, 0.000046, 0.011 and 0.025 respectively) in biopsy compared to faecal samples at the family level. Conversely, there was increased abundance from the family Ruminococcaceae and Clostridiaceae (Corncob analysis; FDR=0.025 and 0.025 respectively) in faecal samples. Principal Coordinates Analysis of a Bray Curtis distance matrix generated from sequence variant tables did not show distinct clustering of biopsy and faecal samples (PERMANOVA; p=0.991). A total of 528 bacteria were isolated from a subset of 6 volunteer samples (biopsy and faeces) out of which there were 97 unique and 39 novel species identified. Our study showed good concordance between faecal and gut mucosal microbial profile, corroborating that faecal samples can act as a convenient surrogate to study gut microbiota.

scholarly journals Microsporidian Infection in Mosquitoes (Culicidae) Is Associated with Gut Microbiome Composition and Predicted Gut Microbiome Functional Content

2021 ◽  
Author(s):  
Artur Trzebny ◽  
Anna Slodkowicz-Kowalska ◽  
Johanna Björkroth ◽  
Miroslawa Dabert
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Bacterial Communities ◽  
Bacterial Species ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Microbiome Composition ◽  
Microsporidian Infection ◽  
Functional Content

AbstractThe animal gut microbiota consist of many different microorganisms, mainly bacteria, but archaea, fungi, protozoans, and viruses may also be present. This complex and dynamic community of microorganisms may change during parasitic infection. In the present study, we investigated the effect of the presence of microsporidians on the composition of the mosquito gut microbiota and linked some microbiome taxa and functionalities to infections caused by these parasites. We characterised bacterial communities of 188 mosquito females, of which 108 were positive for microsporidian DNA. To assess how bacterial communities change during microsporidian infection, microbiome structures were identified using 16S rRNA microbial profiling. In total, we identified 46 families and four higher taxa, of which Comamonadaceae, Enterobacteriaceae, Flavobacteriaceae and Pseudomonadaceae were the most abundant mosquito-associated bacterial families. Our data suggest that the mosquito gut microbial composition varies among host species. In addition, we found a correlation between the microbiome composition and the presence of microsporidians. The prediction of metagenome functional content from the 16S rRNA gene sequencing suggests that microsporidian infection is characterised by some bacterial species capable of specific metabolic functions, especially the biosynthesis of ansamycins and vancomycin antibiotics and the pentose phosphate pathway. Moreover, we detected a positive correlation between the presence of microsporidian DNA and bacteria belonging to Spiroplasmataceae and Leuconostocaceae, each represented by a single species, Spiroplasma sp. PL03 and Weissella cf. viridescens, respectively. Additionally, W. cf. viridescens was observed only in microsporidian-infected mosquitoes. More extensive research, including intensive and varied host sampling, as well as determination of metabolic activities based on quantitative methods, should be carried out to confirm our results.

scholarly journals Potential Fluid Biomarkers for the Diagnosis of Mild Cognitive Impairment

2019 ◽  
Vol 20 (17) ◽  
pp. 4149 ◽  
Author(s):  
Vo Van Giau ◽  
Eva Bagyinszky ◽  
Seong Soo A. An
Keyword(s):  
Cerebrospinal Fluid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Phosphorylated Tau ◽  
Transitional State ◽  
Total Tau ◽  
Current State ◽  
Risk Of Progression ◽  
Csf Levels ◽  
Potential Fluid

Mild cognitive impairment (MCI) is characterized by a level of cognitive impairment that is lower than normal for a person’s age, but a higher function than that that observed in a demented person. MCI represents a transitional state between normal aging and dementia disorders, especially Alzheimer’s disease (AD). Much effort has been made towards determining the prognosis of a person with MCI who will convert to AD. It is now clear that cerebrospinal fluid (CSF) levels of Aβ40, Aβ42, total tau and phosphorylated tau are useful for predicting the risk of progression from MCI to AD. This review highlights the advantages of the current blood-based biomarkers in MCI, and discusses some of these challenges, with an emphasis on recent studies to provide an overview of the current state of MCI.

Sign in / Sign up

Export Citation Format

Share Document