👤 María Teresa Amigo Lanza

Aging is the greatest risk factor for Alzheimer's disease (AD), but the mechanisms connecting the two remain unclear. The mammalian target of rapamycin (mTOR) pathway, particularly its downstream effector S6 kinase 1 (S6K1), has emerged as a key regulator of aging and neurodegeneration. S6K1 controls translation, autophagy, and mitochondrial function-processes disrupted in both aging and AD. This review examines how S6K1 influences mitochondrial metabolism, autophagy, and metabolic dysfunction in aging. We also discuss its role in the nervous system, including effects on synaptic plasticity, memory, glial activation, and neuroinflammation. In AD, S6K1 contributes to amyloid and tau pathology by regulating translation of BACE1 and tau, and its hyperactivation is linked to synaptic deficits and cognitive decline. We further explore therapeutic strategies targeting S6K1, which have shown benefits for lifespan extension and neuroprotection in preclinical models. Finally, we consider the emerging link between S6K1 and necroptosis, a form of programmed cell death implicated in AD-related neuronal loss. Together, these findings highlight S6K1 as a promising target for interventions aimed at slowing aging and mitigating AD pathogenesis. Show less

The pathogenicity of the different genetic variants causing hypertrophic cardiomyopathy (HCM) and the genotype/phenotype correlations are difficult to assess in clinical practice, as most mutations are unique or identified in non-informative families. Pathogenic variants in the sarcomeric gene We describe the clinical characteristics of a new truncating Our cohort allows us to estimate the penetrance and prognosis of this variant. The penetrance of the disease increases with age, whereas 50% of males in our sample developed HCM by the age of 36 years old, and 50% of women developed the disease by the time they reached 48 years of age ( The p.Val931Glyfs*120 truncating variant in Show less

Despite the new next-generation sequencing (NGS) molecular approaches implemented the genetic testing in clinical diagnosis, copy number variation (CNV) detection from NGS data remains difficult mainly in the absence of bioinformatics personnel (not always available among laboratory resources) and when using very small gene panels that do not meet commercial software criteria. Furthermore, not all large deletions/duplications can be detected with the Multiplex Ligation-dependent Probe Amplification (MLPA) technique due to both the limitations of the methodology and no kits available for the most of genes. We propose our experience regarding the identification of a novel large deletion in the context of a rare skeletal disease, multiple osteochondromas (MO), using and validating a user-friendly approach based on NGS coverage data, which does not require any dedicated software or specialized personnel. The pipeline uses a simple algorithm comparing the normalized coverage of each amplicon with the mean normalized coverage of the same amplicon in a group of "wild-type" samples representing the baseline. It has been validated on 11 samples, previously analyzed by MLPA, and then applied on 20 patients with MO but negative for the presence of pathogenic variants in All the 11 known CNVs (exon and multi-exon deletions) have been detected with a sensitivity of 97.5%. A novel In addition to enhancing the variant detection rate in MO molecular diagnosis, this easy-to-use approach for CNV detection can be easily extended to many other diagnostic fields-especially in resource-limited settings or very small gene panels. Notably, it also allows partial-exon deletion detection. Show less