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SH2B1 Tunes Hippocampal ERK Signaling to Influence Fluid Intelligence in Humans and Mice

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Specialty Biology
Date 2024 Mar 4
PMID 38434247
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Abstract

Fluid intelligence is a cognitive domain that encompasses general reasoning, pattern recognition, and problem-solving abilities independent of task-specific experience. Understanding its genetic and neural underpinnings is critical yet challenging for predicting human development, lifelong health, and well-being. One approach to address this challenge is to map the network of correlations between intelligence and other constructs. In the current study, we performed a genome-wide association study using fluid intelligence quotient scores from the UK Biobank to explore the genetic architecture of the associations between obesity risk and fluid intelligence. Our results revealed novel common genetic loci (, , , and ) underlying the association between fluid intelligence and body metabolism. Surprisingly, we demonstrated that variation influenced fluid intelligence independently of its effects on metabolism but partially mediated its association with bilateral hippocampal volume. Consistently, selective genetic ablation of in the mouse hippocampus, particularly in inhibitory neurons, but not in excitatory neurons, significantly impaired working memory, short-term novel object recognition memory, and behavioral flexibility, but not spatial learning and memory, mirroring the human intellectual performance. Single-cell genetic profiling of Sh2B1-regulated molecular pathways revealed that deletion resulted in aberrantly enhanced extracellular signal-regulated kinase (ERK) signaling, whereas pharmacological inhibition of ERK signaling reversed the associated behavioral impairment. Our cross-species study thus provides unprecedented insight into the role of in fluid intelligence and has implications for understanding the genetic and neural underpinnings of lifelong mental health and well-being.

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PMID: 38868764 PMC: 11167084. DOI: 10.3389/fimmu.2024.1424385.

References
1.
Evangelou E, Gao H, Chu C, Ntritsos G, Blakeley P, Butts A . New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nat Hum Behav. 2019; 3(9):950-961. PMC: 7711277. DOI: 10.1038/s41562-019-0653-z. View

2.
Ni G, Moser G, Wray N, Lee S . Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood. Am J Hum Genet. 2018; 102(6):1185-1194. PMC: 5993419. DOI: 10.1016/j.ajhg.2018.03.021. View

3.
Payton A . The impact of genetic research on our understanding of normal cognitive ageing: 1995 to 2009. Neuropsychol Rev. 2009; 19(4):451-77. DOI: 10.1007/s11065-009-9116-z. View

4.
Janowitz D, Wittfeld K, Terock J, Freyberger H, Hegenscheid K, Volzke H . Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples. Neuroimage. 2015; 122:149-57. DOI: 10.1016/j.neuroimage.2015.07.086. View

5.
Deary I, Penke L, Johnson W . The neuroscience of human intelligence differences. Nat Rev Neurosci. 2010; 11(3):201-11. DOI: 10.1038/nrn2793. View