The aim of this project has been to investigate whether there are correlations to be found between gut microbes and serum metabolites, which could be involved in the development of epilepsy. To do so, metabolomics data containing metabolites and metagenomics data containing bacteria have been integrated and used in a pipeline utilizing the software package DIABLO in R Studio. DIABLO stands for Data Integration Analysis for Biomarker discovery using Latent cOmponents and utilizes multi-block pls-da to integrate multiple omics data sets to find potential biomarkers. The results in this project are mainly divided into two groups, the first group being from taking samples at an early time point, where subjects have not yet developed symptoms of epilepsy and the second group being from taking samples at a late time point, where the subjects have developed epilepsy. To find biomarkers in the data used for the integration, two subgroups are of highest interest, namely subgroup PTE, which is the group that develops epilepsy symptoms after an induced trauma to the brain, as well as subgroup TBI which do not develop epilepsy symptoms after an induced trauma to the brain. Results from the early time point suggests that bacteria such as those from Phelethenecus, Christenselellales, Ventrimonas, Ruminococcaceae and Acetatifactor, as well as metabolites such as LPC 17:0, Indole and Indole-3-carboxyaldehyde might be of interest in finding biomarkers previous to the development of epilepsy after induced brain trauma. Results from the late time point suggests that bacteria such as those from Muribaculaceae and Avidehalobacter, as well as metabolites such as Dioctyl sulfosuccinate, Canrenone, LPC 18:0, Uric acid, Arjunolic acid and Pseudouridine might be of interest in finding underlying mechanisms behind the existing condition of epilepsy. The hope is that findings in this paper might aid in future development of knowledge behind this disease as well as its underlying mechanisms.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-530627 |
| Date | January 2024 |
| Creators | Mäkinen, Nelly |
| Publisher | Uppsala universitet, Institutionen för medicinsk biokemi och mikrobiologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC X ; 24014 |
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