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Series GSE276735 Query DataSets for GSE276735
Status Public on Nov 27, 2024
Title NK2R control of energy expenditure and feeding to treat metabolic diseases
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The combination of decreasing food intake and increasing energy expenditure represents a powerful strategy for counteracting cardiometabolic diseases, such as obesity and type 2 diabetes1. Yet current approaches require conjugating multiple receptor agonists to achieve both effects2–4 and, thus far, no safe energy-expending option has reached the clinic. Here we show that activation of Neurokinin 2 Receptor (NK2R) is sufficient to suppress appetite centrally and increase energy expenditure peripherally. We focused on NK2R after discovering its genetic links to obesity and glucose control. However, therapeutically exploiting NK2R signalling has previously been unattainable because its endogenous ligand, Neurokinin A (NKA), is short-lived and lacks receptor specificity5,6. Therefore, we developed selective, long-acting NK2R agonists, with potential for once-weekly administration in humans. In mice, these agonists elicit weight loss by inducing energy expenditure and non-aversive appetite suppression that circumvents canonical leptin signalling. Additionally, a hyperinsulinemic-euglycemic clamp reveals that NK2R agonism acutely enhances insulin sensitization. In diabetic, obese nonhuman primates, NK2R activation significantly decreases body weight, blood glucose, triglycerides, and cholesterol, and ameliorates insulin resistance. These findings identify a single receptor target that leverages both energy-expending and appetite-suppressing programs to improve energy homeostasis and reverse cardiometabolic dysfunction across species.
 
Overall design Hindbrains (DVC) of mice treated either with NK2R agonist or vehicle were subjected to single-nucleus RNA-seq to investigate activated cell populations. Samples from the same experimental condition were pooled together (n = 5 mice/group) for a total of 3 samples per condition.
 
Contributor(s) Gerhart-Hines Z, Brüning JC, Bauder CA, Steuernagel L, Brown JM, Sass F
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Submission date Sep 09, 2024
Last update date Nov 27, 2024
Contact name Jens C Brüning
Organization name Max Planck Institute for Metabolism Research
Department Neuronal Control of Metabolism
Street address Gleueler Str. 50
City Köln
ZIP/Postal code 50931
Country Germany
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (6)
GSM8504707 Veh_1
GSM8504708 Veh_2
GSM8504709 Veh_3
Relations
BioProject PRJNA1158778

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Supplementary file Size Download File type/resource
GSE276735_barcodes.tsv.gz 129.0 Kb (ftp)(http) TSV
GSE276735_genes.tsv.gz 80.0 Kb (ftp)(http) TSV
GSE276735_matrix.mtx.gz 200.9 Mb (ftp)(http) MTX
GSE276735_metadata.csv.gz 1.0 Mb (ftp)(http) CSV
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Raw data are available in SRA

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