Matthias Arnold

The paper identifies preserved mitochondrial bioenergetics in asymptomatic Alzheimer's disease brains and suggests NAD+ precursor interventions could maintain cognitive function despite pathology.

This study performs GWAS on the human urine proteome, identifying genetic associations with 20 proteins and linking them to disease risk and gene expression.

This study examines how APOE genotypes affect brain metabolome changes with aging in mice, finding that APOE2 genotype is associated with better mitochondrial function and BCAA utilization.

The paper identifies 679 diseases associated with increased risk for severe COVID-19 and Long COVID using UK Biobank health records, highlighting complex multimorbidity patterns and genetic risk loci.

BioPathNet improves link prediction in biomedical knowledge graphs by using path-based reasoning, outperforming existing methods and identifying novel drug indications and gene interactions.

The paper identifies sex-specific metabolomic differences in serum and brain of Alzheimer's disease mouse models, showing model-specific metabolic signatures that align with human APOE4 carriers.

The paper maps genetic associations with plasma proteins in 54,306 UK Biobank participants, identifying 10,248 new protein quantitative trait loci (pQTLs) and expanding the genetic architecture of the plasma proteome.

This study identifies widespread metabolic dysregulation in Alzheimer's disease brain tissue, linking it to tau pathology and highlighting potential pathomechanisms.

This study identifies 667 genetic loci associated with lipid species and links 186 of them to coronary artery disease through integrative lipidomics and genomics.

The paper identifies a cell-type specific signature of cognitive resilience to Alzheimer's disease in human and mouse models, highlighting excitatory intratelencephalic cortical neurons and several resilience genes.

The paper links indoxyl sulfate, a gut microbiome-derived metabolite, to anxiety symptoms and specific brain connectivity patterns in patients with depression.

The paper uses targeted metabolomics to analyze changes in acylcarnitines, amines, and lipids in response to citalopram/escitalopram treatment in MDD patients, identifying metabolic correlates of treatment response.

The paper identifies serum metabolites associated with brain amyloid-beta deposition, cognitive dysfunction, and progression to Alzheimer's disease.

This paper performs a large-scale eQTL meta-analysis across cerebral cortical and cerebellar brain regions, identifying distinct eQTL patterns and demonstrating improved power over existing studies.

The paper investigates sex and APOE ε4 genotype effects on metabolic alterations in Alzheimer’s disease using stratified analysis of serum metabolites.

This study identifies metabolites and pathways in serum and brain tissue associated with cognitive impairment and develops models to predict antecedent cognitive decline in older adults.

The paper identifies differences in bile acid pathways for cholesterol clearance in Alzheimer’s disease by analyzing transcriptomes and metabolomics data from brain samples.

The paper investigates the association between triglyceride principal component scores and Alzheimer's disease biomarkers in the ADNI cohort, finding significant links with MCI, AD, and specific brain structures.

The paper identifies lipid sets in blood associated with Alzheimer's disease biomarkers and clinical symptoms using lipidomic profiling in the ADNI1 cohort.

The paper identifies altered bile acid profiles in Alzheimer's disease, linking them to cognitive impairment and genetic variants through a large study.

The paper identifies associations between serum bile acid metabolites and AD biomarkers in the A/T/N framework, suggesting a potential role for bile acid pathways in AD pathophysiology.

The paper performs a GWAS on blood plasma proteome data from two cohorts to identify SNP-protein associations linked to various diseases and creates a genome-proteome network and web tool for analysis.