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1.
Sci Rep ; 14(1): 6095, 2024 03 13.
Article in English | MEDLINE | ID: mdl-38480804

ABSTRACT

In this study, we aimed to understand the potential role of the gut microbiome in the development of Alzheimer's disease (AD). We took a multi-faceted approach to investigate this relationship. Urine metabolomics were examined in individuals with AD and controls, revealing decreased formate and fumarate concentrations in AD. Additionally, we utilised whole-genome sequencing (WGS) data obtained from a separate group of individuals with AD and controls. This information allowed us to create and investigate host-microbiome personalised whole-body metabolic models. Notably, AD individuals displayed diminished formate microbial secretion in these models. Additionally, we identified specific reactions responsible for the production of formate in the host, and interestingly, these reactions were linked to genes that have correlations with AD. This study suggests formate as a possible early AD marker and highlights genetic and microbiome contributions to its production. The reduced formate secretion and its genetic associations point to a complex connection between gut microbiota and AD. This holistic understanding might pave the way for novel diagnostic and therapeutic avenues in AD management.


Subject(s)
Alzheimer Disease , Gastrointestinal Microbiome , Microbiota , Humans , Alzheimer Disease/genetics , Alzheimer Disease/metabolism , Microbiota/genetics , Gastrointestinal Microbiome/genetics , Genomics , Formates
2.
Res Sq ; 2023 Sep 06.
Article in English | MEDLINE | ID: mdl-37720019

ABSTRACT

In this study, we aimed to understand the potential role of the gut microbiome in the development of Alzheimer's disease (AD). We took a multi-faceted approach to investigate this relationship. Urine metabolomics were examined in individuals with AD and controls, revealing decreased formate and fumarate concentrations in AD. Additionally, we utilized whole-genome sequencing (WGS) data obtained from a separate group of individuals with AD and controls. This information allowed us to create and investigate host-microbiome personalized models. Notably, AD individuals displayed diminished formate microbial secretion in these models. Additionally, we identified specific reactions responsible for the production of formate in the host, and interestingly, these reactions were linked to genes that have correlations with AD. This study suggests formate as a possible early AD marker and highlights genetic and microbiome contributions to its production. The reduced formate secretion and its genetic associations point to a complex connection between gut microbiota and AD. This holistic understanding might pave the way for novel diagnostic and therapeutic avenues in AD management.

3.
Metabolites ; 13(8)2023 Aug 16.
Article in English | MEDLINE | ID: mdl-37623894

ABSTRACT

COVID-19, a systemic multi-organ disease resulting from infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is known to result in a wide array of disease outcomes, ranging from asymptomatic to fatal. Despite persistent progress, there is a continued need for more accurate determinants of disease outcomes, including post-acute symptoms after COVID-19. In this study, we characterised the serum metabolomic changes due to hospitalisation and COVID-19 disease progression by mapping the serum metabolomic trajectories of 71 newly hospitalised moderate and severe patients in their first week after hospitalisation. These 71 patients were spread out over three hospitals in Switzerland, enabling us to meta-analyse the metabolomic trajectories and filter consistently changing metabolites. Additionally, we investigated differential metabolite-metabolite trajectories between fatal, severe, and moderate disease outcomes to find prognostic markers of disease severity. We found drastic changes in serum metabolite concentrations for 448 out of the 901 metabolites. These results included markers of hospitalisation, such as environmental exposures, dietary changes, and altered drug administration, but also possible markers of physiological functioning, including carboxyethyl-GABA and fibrinopeptides, which might be prognostic for worsening lung injury. Possible markers of disease progression included altered urea cycle metabolites and metabolites of the tricarboxylic acid (TCA) cycle, indicating a SARS-CoV-2-induced reprogramming of the host metabolism. Glycerophosphorylcholine was identified as a potential marker of disease severity. Taken together, this study describes the metabolome-wide changes due to hospitalisation and COVID-19 disease progression. Moreover, we propose a wide range of novel potential biomarkers for monitoring COVID-19 disease course, both dependent and independent of the severity.

4.
Biochim Biophys Acta Gene Regul Mech ; 1864(6-7): 194714, 2021.
Article in English | MEDLINE | ID: mdl-33971368

ABSTRACT

Dependent on phosphate availability the yeast Saccharomyces cerevisiae expresses either low or high affinity phosphate transporters. In the presence of phosphate yeast cells still express low levels of the high affinity phosphate transporter Pho84. The regulator Spl2 is expressed in approximately 90% of the cells, and is not expressed in the remaining cells. Here we report that deletion of RRP6, encoding an exonuclease degrading non-coding RNA, or BMH1, encoding the major 14-3-3 isoform, resulted in less cells expressing SPL2 and in increased levels of RNA transcribed from sequences upstream of the SPL2 coding region. SPL2 stimulates its own expression and that of PHO84 ensuing a positive feedback. Upon deletion of the region responsible for upstream SPL2 transcription almost all cells express SPL2. These results indicate that the cell-to-cell variation in PHO84 and SPL2 expression is dependent on a specific part of the SPL2 promoter and is controlled by Bmh1 and Spl2.


Subject(s)
14-3-3 Proteins/biosynthesis , Cyclin-Dependent Kinase Inhibitor Proteins/biosynthesis , Gene Expression Regulation, Fungal , Phosphates/metabolism , Saccharomyces cerevisiae Proteins/biosynthesis , Saccharomyces cerevisiae/metabolism , Transcription, Genetic , 14-3-3 Proteins/genetics , Cyclin-Dependent Kinase Inhibitor Proteins/genetics , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae Proteins/genetics
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