Targeting postsynaptic glutamate receptor scaffolding proteins PSD-95 and PICK1 for obesity treatment.
Nicole FadahunsiJonas PetersenSophia MetzAlexander JakobsenCecilie Vad MathiesenAlberte Silke Buch-RasmussenNigel KurganJeppe Kjærgaard LarsenRita Chan AndersenThomas TopilkoCharlotte SvendsenMia ApuschkinGrethe SkovbjergJan Hendrik SchmidtGrace HouserSara Buskbjerg JagerAnders BachAtul Shahaji DeshmukhTuomas O KilpeläinenKristian Stro MgaardKenneth Lindegaard MadsenChristoffer ClemmensenPublished in: Science advances (2024)
Human genome-wide association studies (GWAS) suggest a functional role for central glutamate receptor signaling and plasticity in body weight regulation. Here, we use UK Biobank GWAS summary statistics of body mass index (BMI) and body fat percentage (BF%) to identify genes encoding proteins known to interact with postsynaptic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and N -methyl-d-aspartate (NMDA) receptors. Loci in/near discs large homolog 4 ( DLG4 ) and protein interacting with C kinase 1 ( PICK1 ) reached genome-wide significance ( P < 5 × 10 - 8 ) for BF% and/or BMI. To further evaluate the functional role of postsynaptic density protein-95 (PSD-95; gene name: DLG4 ) and PICK1 in energy homeostasis, we used dimeric PSD-95/disc large/ZO-1 (PDZ) domain-targeting peptides of PSD-95 and PICK1 to demonstrate that pharmacological inhibition of PSD-95 and PICK1 induces prolonged weight-lowering effects in obese mice. Collectively, these data demonstrate that the glutamate receptor scaffolding proteins, PICK1 and PSD-95, are genetically linked to obesity and that pharmacological targeting of their PDZ domains represents a promising therapeutic avenue for sustained weight loss.
Keyphrases
- weight loss
- body mass index
- genome wide
- weight gain
- body weight
- genome wide association
- bariatric surgery
- insulin resistance
- dna methylation
- cancer therapy
- type diabetes
- roux en y gastric bypass
- binding protein
- copy number
- amino acid
- physical activity
- endothelial cells
- high fat diet induced
- electronic health record
- tyrosine kinase
- protein protein
- gene expression
- drug delivery
- deep learning
- big data
- machine learning
- smoking cessation
- case control