Defects in AMPAR trafficking and microglia activation underlie socio-cognitive deficits associated to decreased expression of phosphodiesterase 2 a

Deficits of Alzheimer's Disease Neuropsychological Architecture Correlate with Specific Exosomal mRNA Expression: Evidence of a Continuum?

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline and complex molecular changes. Extracellular vesicles (EVs), particularly exosomes, play a key role in intercellular communication and disease progression, transporting proteins, lipids, and nucleic acids. While altered exosomal mRNA profiles have emerged as potential biomarkers for AD, the relationship between mRNA expression and AD neuropsychological deficits remains unclear. Here, we investigated the correlation between exosomx10-derived mRNA signatures and neuropsychological performance in a cohort from Barranquilla, Colombia. Expression profiles of 16,585 mRNAs in 15 AD patients and 15 healthy controls were analysed using Generalized Linear Models (GLMs) and the Predictive Power Score (PPS). We identified significant correlations between specific mRNA signatures and key neuropsychological variables, including the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Functional Assessment Screening Tool (FAST), Boston Naming Test, and Rey-Osterrieth Figure test. These mRNAs were in key AD-associated genes (i.e., GABRB3 and CADM1), while other genes are novel (i.e., SHROOM3, SLC7A2, GJB4, and XBP1). PPS analyses further revealed predictive relationships between mRNA expression and neuropsychological variables, accounting for non-linear patterns and asymmetric associations. If replicated in more extensive and heterogeneous studies, these findings provide critical insights into the molecular basis governing the natural history of AD, potential personalized and non-invasive diagnosis, prognosis, follow-up, and potential targets for future therapies.

Longevity, enhanced memory, and altered density of dendritic spines in hippocampal CA3 and dentate gyrus after hemizygous deletion of Pde2a in mice

Studies using acute or subchronic pharmacological inhibition of phosphodiesterase 2 A (PDE2A) have led to its proposal as a target for treatment of cognitive deficits associated with neuropsychiatric and neurodegenerative disease. However, the impact of continuous inhibition of PDE2A on memory is unknown. Moreover, the neuroanatomical regions mediating memory enhancement have not been categorically identified. To address these open questions, we studied knockout mice and hippocampus restricted manipulations. Pde2a heterozygous knockout mice are viable with no gross histological abnormalities. The mice exhibit enhanced spatial and object recognition memory that is independent of anxiolytic effects and is paralleled by increased density of dendritic mushroom and thin spines in hippocampal CA3 and dentate gyrus in adult mice. In CA1, subtle alterations in spine density were seen, while theta-burst LTP and paired-pulse facilitation were normal. Spatial memory enhancement persists in aged Pde2a heterozygous knockout mice, and to our surprise these mice live significantly longer than wild-type littermate controls. In summary, we provide evidence that life-long reduction of PDE2A expression promotes spine formation and maturation, exerts beneficial effects on memory, and increases lifespan.

How close are we to a cAMP- and cGMP-theory-based pharmacological therapy for fragile X syndrome?

Recent advances in targeting cAMP and cGMP pathways offer hope for treating fragile X syndrome, a leading cause of inherited intellectual disability. PDE4 and PDE2 inhibitors have shown promise in animal models, improving memory, social behavior, and cognitive function. Clinical trials are underway, raising optimism for future therapies.

Haploinsufficiency of PDE2A causes in mice increased exploratory behavior associated with upregulation of neural nitric oxide synthase in the striatum

Phosphodiesterase 2 A (PDE2A) function is stimulated by cGMP to catabolize cAMP. However, neurological and neurochemical effects of PDE2A deficiency are poorly understood. To address this gap, we studied behavioral characteristics and cerebral morpho-chemical changes of adult male heterozygous C57BL/6-PDE2A+/- (HET), and wild type C57BL/6-PDE2A+/+ (WT) mice. Behavioral functions of mice were evaluated by a wide test battery. HET mice exhibited greater tendency to explore novel environments in comparison to WT mice, but spatial working memory, anxiety, and sociability were similar in adult HET and WT mice. In HET mice, PDE2A mRNA, PDE2A protein expression, and cGMP hydrolyzing enzymatic activity were consistently reduced by about 50 %. Consequently, the cyclic nucleotide levels were significantly increased in HET mice, but unexpectedly the mean percentage variation was higher for cGMP equal to 153.23 %, and lower for cAMP equal to 16.41 %. Therefore, to try to explain the preponderant increase of cGMP to cAMP we evaluated other PDE enzymes functionally related to PDE2A. Surprisingly, results were quite contradictory: in HET mice protein levels of the other dual-specificity enzyme PDE3A and PDE10A were reduced, whereas the expressions of PDE5A and PDE9A that selectively hydrolyze cGMP were increased. Therefore, we investigated the involvement of neuronal nitric oxide synthase (nNOS) expression, as determinant of a possible increased synthesis of NO/cGMP signaling. Interestingly, in HET mice the expression level of brain nNOS, measured by western blot and immune-histochemistry was significantly increased, particularly in interneurons from the striatum. In conclusion, the deficiency of PDE2A could be compensated in the striatum by upregulating nNOS/NO/cGMP pathway, which in turn likely upregulates PDE2A-dependent cAMP hydrolysis. The neuroanatomical correlation between striatal nNOS upregulation and the behavioral phenotype of increased exploratory behavior in HET mice is advanced.

AUGMENTED DOUBLY ROBUST POST-IMPUTATION INFERENCE FOR PROTEOMIC DATA

Quantitative measurements produced by mass spectrometry proteomics experiments offer a direct way to explore the role of proteins in molecular mechanisms. However, analysis of such data is challenging due to the large proportion of missing values. A common strategy to address this issue is to utilize an imputed dataset, which often introduces systematic bias into downstream analyses if the imputation errors are ignored. In this paper, we propose a statistical framework inspired by doubly robust estimators that offers valid and efficient inference for proteomic data. Our framework combines powerful machine learning tools, such as variational autoencoders, to augment the imputation quality with high-dimensional peptide data, and a parametric model to estimate the propensity score for debiasing imputed outcomes. Our estimator is compatible with the double machine learning framework and has provable properties. Simulation studies verify its empirical superiority over other existing procedures. In application to both single-cell proteomic data and bulk-cell Alzheimer's Disease data our method utilizes the imputed data to gain additional, meaningful discoveries and yet maintains good control of false positives.