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Krueger, R.

Publications and source records attributed to Krueger, R..

40 records · Page 3Linked to original sources

Parkinson’s disease-associated alterations of the gut microbiome can invoke disease-relevant metabolic changes

Parkinsons disease (PD) is a systemic disease clinically defined by the degeneration of dopaminergic neurons in the brain. While alterations in the gut microbiome composition have been reported in PD, their functional consequences remain unclear. Herein, we first analysed the gut microbiome of patients and healthy controls by 16S rRNA gene sequencing of stool samples from the Luxembourg Parkinsons study (n=147 typical PD cases, n=162 controls). All individuals underwent detailed clinical assessment, including neurological examinations and neuropsychological tests followed by self-reporting questionnaires. Second, we predicted the potential secretion for 129 microbial metabolites through personalised metabolic modelling using the microbiome data and genome-scale metabolic reconstructions of human gut microbes. Our key results include: 1. eight genera and nine species changed significantly in their relative abundances between PD patients and healthy controls. 2. PD-associated microbial patterns statistically depended on sex, age, BMI, and constipation. The relative abundances of Bilophila and Paraprevotella were significantly associated with the Hoehn and Yahr staging after controlling for the disease duration. In contrast, dopaminergic medication had no detectable effect on the PD microbiome composition. 3. Personalised metabolic modelling of the gut microbiomes revealed PD-associated metabolic patterns in secretion potential of nine microbial metabolites in PD, including increased methionine and cysteinylglycine. The microbial pantothenic acid production potential was linked to the presence of specific non-motor symptoms and attributed to individual bacteria, such as Akkermansia muciniphila and Bilophila wardswarthia. Our results suggest that PD-associated alterations of gut microbiome could translate into functional differences affecting host metabolism and disease phenotype.

microbiology↗

Single-cell transcriptomics reveals multiple neuronal cell types in human midbrain-specific organoids

Human stem cell-derived organoids have great potential for modelling physiological and pathological processes. They recapitulate in vitro the organisation and function of a respective organ or part of an organ. Human midbrain organoids (hMOs) have been described to contain midbrain-specific dopaminergic neurons that release the neurotransmitter dopamine. However, the human midbrain contains also additional neuronal cell types, which are functionally interacting with each other. Here, we analysed hMOs at high-resolution by means of single-cell RNA-sequencing (scRNA-seq), imaging and electrophysiology to unravel cell heterogeneity. Our findings demonstrate that hMOs show essential neuronal functional properties as spontaneous electrophysiological activity of different neuronal subtypes, including dopaminergic, GABAergic, and glutamatergic neurons. Recapitulating these in vivo features makes hMOs an excellent tool for in vitro disease phenotyping and drug discovery.

neuroscience↗

Automated high-throughput high-content autophagy and mitophagy analysis platform

Autophagy and mitophagy play a central role in cellular homeostasis. In pathological conditions, the flow of autophagy and mitophagy can be affected at multiple and distinct steps of the pathways. Unfortunately, the level of detail of current state of the art analyses does not allow detection or dissection of pathway intermediates. Moreover, is conducted in low-throughput manner on bulk cell populations. Defining autophagy and mitophagy pathway intermediates in a high-throughput manner is technologically challenging, and has not been addressed so far. Here, we overcome those limitations and developed a novel high-throughput phenotyping platform with automated high-content image analysis to assess autophagy and mitophagy pathway intermediates.

cell biology↗

Genus-wide sequencing supports a two-locus model for sex-determination in Phoenix

The date palm tree is a commercially important member of the genus Phoenix whose 14 species are all dioecious with separate male and female individuals. Previous studies identified a multi-megabase region of the date palm genome linked to sex and showed that dioecy likely developed in Phoenix prior to speciation. To identify genes critical to sex determination we sequenced the genomes of 28 Phoenix trees representing all 14 species. Male-specific sequences were identified and extended using phased single molecule sequencing or BAC clones to distinguish X and Y alleles.\n\nHere we show that only four genes contain sequences conserved in all analyzed males, likely identifying the changes foundational to dioecy in Phoenix. The majority of these sequences show similarity to a single genomic locus in the closely related oil palm. CYP703 and GPAT3, two genes critical to male flower development in other monocots, appear fully deleted in females while maintained as single copy in males. A LOG-like gene appears translocated into the Y chromosome and a cytidine deaminase-like appears at the border of a chromosomal rearrangement. Our data supports a two-mutation model for the evolution from hermaphroditism to dioecy through a gynodioecious intermediate.

genomics↗