Loss of LRP1 from GABAergic neurons impairs short-term memory function
Uner, A. A.; Hou, Z.-S.; Aydogan, A.; Rodrigues, K. C. d. C.; Young, J.; Choi, A.; Yang, W.-M.; Kang, J.; Kim, W.; PREVOT, V.; Caldarone, B. J.; Lee, H.; Kim, Y.-B.
Show abstract
ObjectiveLow-density lipoprotein receptor-related protein-1 (LRP1) regulates energy homeostasis, blood-brain barrier integrity, and metabolic signaling in the brain. Loss of LRP1 from inhibitory gamma-aminobutyric acid (GABA)ergic neurons causes severe obesity in mice. Its dysfunction has been associated with cognitive decline, dementia, and Alzheimers disease. However, the impact of LRP1 in inhibitory neurons on memory function and cognition in the context of obesity is poorly understood. MethodsMice lacking LRP1 in GABAergic neurons (Vgat-Cre; LRP1loxP/loxP) are subjected to conduct behavioral tests of locomotor activity and motor coordination, short/long-term and spatial memory, and fear learning/memory. We evaluated the relationships between behavior and metabolic risk factors. ResultsDeletion of LRP1 in GABAergic neurons caused a significant impairment in memory function. In the spatial Y-maze test, Vgat-Cre; LRP1loxP/loxP mice exhibited decreased travel distance and duration in the novel arm compared with controls (LRP1loxP/loxP mice). In addition, GABAergic neuron-specific LRP1-deficient mice had a diminished capacity for performing learning and memory tasks during the water T-maze test. Moreover, reduced freezing time was observed in these mice when the contextual and cued fear conditioning tests were conducted. These effects were accompanied by increased neuronal necrosis and neuroinflammation in the hippocampus. Importantly, the distance and duration in the novel arm and the performance of the reversal water T-maze test negatively correlated with metabolic risk parameters, including body weight, serum leptin, insulin, and apolipoprotein J. ConclusionsOur findings demonstrate that LRP1 from GABAergic neurons is important in normal memory function. Metabolically, obesity caused by GABAergic LRP1 deletion negatively regulates memory and cognitive function. Thus, LRP1 in GABAergic neurons may play a crucial role in maintaining normal excitatory/inhibitory balance and impacts memory function, reinforcing the potential importance of LRP1 in neural system integrity.
Matching journals
The top 14 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- GluD1 knockout mice with a pure C57BL/6N background show impaired fear memory, social interaction, and enhanced depressive-like behavior 95%
- Voluntary running does not increase capillary blood flow but promotes neurogenesis and short-term memory in the APP/PS1 mouse model of Alzheimers disease 95%
- Metabolic differences and differentially expressed genes between C57BL/6J and C57BL/6N mice substrains 94%
Similar papers in this journal
- Increased levels of circulating methylglyoxal have no consequence for cerebral microvascular integrity and cognitive function in young healthy mice 94%
- MicroRNA-210 Knockout Alters Dendritic Density and Behavioural Flexibility 93%
- Lack of p62 impairs glycogen aggregation and exacerbates pathology in a mouse model of myoclonic epilepsy of Lafora 93%
Similar papers in this journal
- CX3CL1 action on microglia protects from diet-induced obesity by restoring POMC neuronal excitability and melanocortin system activity impaired by high-fat diet feeding 94%
- Arginase Inhibition Supports Survival and Differentiation of Neuronal Precursors in Adult Alzheimer's Disease Mice 94%
- Alterations in leptin signaling in Amyotrophic Lateral Sclerosis (ALS) 93%
Similar papers in this journal
- Probucol mitigates high-fat diet-induced cognitive and social impairments through disruption of redox-inflammation association 96%
- Overnight caloric restriction prior to cardiac arrest and resuscitation leads to improved survival and neurological outcome in a rodent model 93%
- Stress-impaired reward pathway promotes distinct feeding behavior patterns 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.