Tune H. Pers

This study identifies a single dorsal vagal complex circuit that mediates both aversive and anorectic responses to GLP1R agonists, showing that APGlp1r neurons are responsible for both effects.

This study generates human appetite-regulating neurons and tanycytes from stem cells, identifying key progenitor markers and signaling mechanisms for hypothalamic subregion specification.

The paper identifies distinct subpopulations of LeprGlp1r neurons that separately control food intake and blood pressure.

This study shows semaglutide reduces neuroinflammation in mice by modulating microglia, endothelial cells, and pericytes, with implications for neurodegenerative diseases.

The paper uses a microfluidic stem cell model to study early human neural patterning, identifying regional specification and fate determination during the epiblast stage.

The paper creates a cross-species atlas of the dorsal vagal complex using single-nucleus RNA sequencing and spatial profiling, revealing molecular mechanisms of cagrilintide's effects on energy balance.

The paper identifies a neural circuit involving TrhArc neurons that mediate the appetite-suppressing effects of GLP-1RAs by inhibiting AgRP neurons.

This study identifies 66 genetic variants linked to neuroendocrine structure volumes and links some to testosterone levels using UK Biobank data.

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

This study uses single-cell transcriptomics to reveal a non-hierarchical model of mucociliary epithelium development in Xenopus, identifying multipotent progenitors and distinct cell-type programs.

This study investigates the molecular changes in the murine hypothalamus following Influenza A virus infection using single-nucleus RNA sequencing, revealing transcriptional responses in cell populations and immune-related gene activity shifts.

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

This study identifies seven new genetic loci associated with febrile seizures, linking them to fever response and neuronal excitability genes, and suggests potential clinical applications of polygenic risk scores.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

The paper uses single-cell RNA sequencing to study porcine medial entorhinal cortex development and demonstrates the production of human entorhinal stellate cell-like cells from pluripotent stem cells.

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

This study shows that sustained hypothalamic MAPK/ERK signaling is essential for FGF1-induced diabetes remission in rodents.

The paper uses scRNA-seq to analyze LepR cells in the hypothalamus, identifying eight neuronal clusters and 17 non-neuronal populations, and finds enrichment of obesity GWAS signals in multiple clusters.

scVAE is a variational auto-encoder for scRNA-seq data that avoids preprocessing and improves clustering by using raw counts and latent space clustering.

This study identifies 370 genetic loci associated with age at first sex and birth, linking them to externalising behaviour and reproductive biology.

This study uses machine learning on Danish health registers to predict five-year risk of T2D comorbidities, showing modest improvements over reference models.

The paper integrates scRNA-seq data with BMI GWAS to identify neuronal cell types enriched for BMI heritability and replicate known obesity-related cell types.

The paper examines common genetic variants' contribution to bipolar disorder risk in multiplex families and finds higher polygenic risk scores in affected individuals compared to controls and unaffected family members.

This study identifies 73 genome-wide significant loci for mood disorders, revealing shared and distinct genetic factors between major depressive disorder and bipolar disorder.

The paper reports a detailed genetic and genomic map of multiple sclerosis, identifying susceptibility genes in peripheral immune cells and brain-resident microglia.

Benchmarker evaluates gene prioritization algorithms using GWAS data through cross-validation, showing that combining strategies improves gene prioritization quality.

This study identifies 30 genome-wide significant loci associated with bipolar disorder, including novel genes involved in ion channels, neurotransmitters, and synaptic components.

This study identifies 96 genome-wide significant loci associated with dietary intake variation using a multi-trait GWAS meta-analysis across 283,119 individuals.

PAIRUP-MS imputes and annotates unknown metabolite signals in mass spectrometry data, improving pathway analysis and meta-analysis power for metabolomics studies.