Metabolites of intestinal fora can be used as diagnostic and progressive markers for mild cognitive impairment
Data files
Feb 07, 2024 version files 29.19 GB
Abstract
Purpose: The aim of the work was to analyze the metabolites of the intestinal microbiota from patients with mild cognitive impairment (MCI) due to Alzheimer's disease and progressive MCI due to Alzheimer's disease.
Method: Two cohorts were established. The first one included 87 subjects with 30 healthy controls (NC), 22 patients with MCI due to Alzheimer's disease, and 35 patients with Alzheimer's disease (AD). The second cohort included 87 patients with MCI due to Alzheimer's disease, who were followed up for 2 years, and finally were divided into progressive MCI due to Alzheimer's disease group (P-G) and unprogressive MCI due to Alzheimer's disease group (U-G) according their cognitive levels. Fecal samples were collected from all patients at the baseline time point. Differential metabolites were subjected to pathway analysis by MetaboAnalyst.
Results: In the first cohort, we found 21 different metabolites among the three groups (AD, MCI, and NC). In the second cohort, we identified 19 differential metabolites between P-G and U-G groups. By machine learning analysis, we found that 7 characteristic metabolites (Erythrodiol, alpha-Curcumene, Synephrine, o-Hydroxylaminobenzoate, 3-Amino-4-hydroxybenzoic acid, 2-Deoxystreptamine and 9(S)-HPOT) were of characteristic significance for the diagnosis of MCI due to Alzheimer's disease, and 6 metabolites (Indolelactate, Indole-3-acetaldehyde, L-Proline, Perillyl, Mesaconate and Sphingosine) were the characteristic metabolites of early warning for the progression of MCI due to Alzheimer's disease. D-Glucuronic acid was negatively correlated with APOE4. Perillyl alcohol was negatively correlated with all of the five biomarkers (P-tau181and NF-light and Aβ1-42 and Aβ1-40 and GFAP), but Indoleacetaldehyde was positively correlated with three biomarkers (P-tau181 and Aβ1-42 and GFAP). Three characteristic metabolites (3-Amino-4-hydroxybenzoate, 2-Deoxystreptamine, and p-Synephrine) were positively correlated with Aβ1-42. 2-Deoxystreptamine and 9(S)-HPOT and Indoleacetaldehyde were positively correlated with GFAP. L-Proline and Indoleacetaldehyde were positively correlated with NF-light.
Conclusion: Specific metabolites of intestinal fora can be used as diagnostic and progressive markers for mild cognitive impairment.
README: Metabolites of intestinal fora can be used as diagnostic and progressive markers for mild cognitive impairment
https://doi.org/10.5061/dryad.9ghx3ffqm
In this study, we assessed the cognition of 87 community-dwelling elderly individuals aged 65 or older. Based on the degree of cognitive impairment, they were divided into three groups: 35 individuals with Alzheimer's disease (AD), 22 individuals with mild cognitive impairment (MCI), and 30 individuals with normal cognitive function. Demographic data including gender, age, education level, smoking status, and alcohol consumption were collected at baseline. Additionally, fecal samples were collected from all patients for analysis of serum levels of P-tau181, NF-light, Aβ1-42, Aβ1-40 and GFAP. Blood cells were also collected for APOE genotype testing. Furthermore, metabolites in the gut microbiota were analyzed through fecal sample testing. Subsequently, a two-year follow-up was conducted to assess cognitive function in these groups. Participants were categorized as either progressing or non-progressing based on their cognitive outcomes. Finally, machine learning methods were employed to analyze the characteristics of metabolites in those who experienced cognitive decline.
Datasets included:
demographic characteristics
- group(progress): 1=progress group, 2=no-progress group
- group-three groups: 1=AD,2=MCI, 3=normal
- Smoking: represents whether the participants have smoked for more than 5 years; categorical variable,N=no smoking, Y=smoking
- Drinking: Represents whether participants drink small amounts of alcohol; categorical variable, N= no drinking, Y=drink small amounts of alcohol
- Gender: M=male,F=female
- education time: represents the length of schooling (years) of the participating population,continuous variables
- Genotype: represents the APOE genegenotype2,3=APOE3,2=APOE2,1=APOE4
- base-pairs: represents the base-pairs of APOE gene,categorical variable
Age, P-tau181, NF-light, Aβ1-42, Aβ1-40 and GFAP are continuous variables
- P-tau181= Tau phosphorylated 181 protein
- NF-light=neurofilament light chain
- Aβ1-42=Amyloid-beta peptide 1-42
- Aβ1-40=Amyloid-beta peptide 1-40
- GFAP=glial fibrillary acidic protein
Metabolites of intestinal flora
The mass spectrum of each sample results has been uploaded, our mass spectrometry results analysis by https://www.genescloud.cn