Respective influence of beta-amyloid and APOE ε4 genotype on medial temporal lobe subregions in cognitively unimpaired older adults

Medial temporal lobe (MTL) subregions are differentially affected in Alzheimer's disease (AD), with a specific involvement of the entorhinal cortex (ERC), perirhinal cortex and hippocampal cornu ammonis (CA)1. While amyloid (Aβ) and APOEε4 are respectively the first molecular change and the main genetic risk factor in AD, their links with MTL atrophy remain relatively unclear.Our aim was to uncover these effects using baseline data from 130 participants included in the Age-Well study, for whom ultra-high-resolution structural MRI, amyloid-PET and APOEε4 genotype were available.No volume differences were observed between Aβ + (n = 24) and Aβ- (n = 103), nor between APOE4+ (n = 35) and APOE4- (n = 95) participants. However, our analyses showed that both Aβ and APOEε4 status interacted with age on CA1, which is known to be specifically atrophied in early AD. In addition, APOEε4 status moderated the effects of age on other subregions (subiculum, ERC), suggesting a more important contribution of APOEε4 than Aβ to MTL atrophy in cognitively unimpaired population.These results are crucial to develop MRI-based biomarkers to detect early AD

Medial Temporal Lobe Subregional Atrophy in Aging and Alzheimer's Disease: A Longitudinal Study

International audienceMedial temporal lobe (MTL) atrophy is a key feature of Alzheimer's disease (AD), however, it also occurs in typical aging. To enhance the clinical utility of this biomarker, we need to better understand the differential effects of age and AD by encompassing the full AD-continuum from cognitively unimpaired (CU) to dementia, including all MTL subregions with up-to-date approaches and using longitudinal designs to assess atrophy more sensitively. Age-related trajectories were estimated using the best-fitted polynomials in 209 CU adults (aged 19–85). Changes related to AD were investigated among amyloid-negative (Aβ−) ( n = 46) and amyloid-positive (Aβ+) ( n = 14) CU, Aβ+ patients with mild cognitive impairment (MCI) ( n = 33) and AD ( n = 31). Nineteen MCI-to-AD converters were also compared with 34 non-converters. Relationships with cognitive functioning were evaluated in 63 Aβ+ MCI and AD patients. All participants were followed up to 47 months. MTL subregions, namely, the anterior and posterior hippocampus (aHPC/pHPC), entorhinal cortex (ERC), Brodmann areas (BA) 35 and 36 [as perirhinal cortex (PRC) substructures], and parahippocampal cortex (PHC), were segmented from a T1-weighted MRI using a new longitudinal pipeline (LASHiS). Statistical analyses were performed using mixed models. Adult lifespan models highlighted both linear (PRC, BA35, BA36, PHC) and nonlinear (HPC, aHPC, pHPC, ERC) trajectories. Group comparisons showed reduced baseline volumes and steeper volume declines over time for most of the MTL subregions in Aβ+ MCI and AD patients compared to Aβ− CU, but no differences between Aβ− and Aβ+ CU or between Aβ+ MCI and AD patients (except in ERC). Over time, MCI-to-AD converters exhibited a greater volume decline than non-converters in HPC, aHPC, and pHPC. Most of the MTL subregions were related to episodic memory performances but not to executive functioning or speed processing. Overall, these results emphasize the benefits of studying MTL subregions to distinguish age-related changes from AD. Interestingly, MTL subregions are unequally vulnerable to aging, and those displaying non-linear age-trajectories, while not damaged in preclinical AD (Aβ+ CU), were particularly affected from the prodromal stage (Aβ+ MCI). This volume decline in hippocampal substructures might also provide information regarding the conversion from MCI to AD-dementia. All together, these findings provide new insights into MTL alterations, which are crucial for AD-biomarkers definition

Intermediate degrees of synergistic pleiotropy drive adaptive evolution in ecological time

International audienceRapid phenotypic evolution of quantitative traits can occur within years, but its underlying genetic architecture remains uncharacterized. Here we test the theoretical prediction that genes with intermediate pleiotropy drive adaptive evolution in nature. Through a resurrection experiment, we grew Arabidopsis thaliana accessions collected across an 8-year period in six micro-habitats representative of that local population. We then used genome-wide association mapping to identify the single-nucleotide polymorphisms (SNPs) associated with evolved and unevolved traits in each micro-habitat. Finally, we performed a selection scan by testing for temporal differentiation in these SNPs. Phenotypic evolution was consistent across micro-habitats, but its associated genetic bases were largely distinct. Adaptive evolutionary change was most strongly driven by a small number of quantitative trait loci (QTLs) with intermediate degrees of pleiotropy; this pleiotropy was synergistic with the per-trait effect size of the SNPs, increasing with the degree of pleiotropy. In addition, weak selection was detected for frequent micro-habitat-specific QTLs that shape single traits. In this population, A. thaliana probably responded to local warming and increased competition, in part mediated by central regulators of flowering time. This genetic architecture, which includes both synergistic pleiotropic QTLs and distinct QTLs within particular micro-habitats, enables rapid phenotypic evolution while still maintaining genetic variation in wild populations

Author Correction: Intermediate degrees of synergistic pleiotropy drive adaptive evolution in ecological time

Correction to: Nature Ecology & Evolution 1, 1551–1561 (2017); published online 4 September 2017International audienceIn the version of this Article previously published, there was a typographical error ('4' instead of '2') in the equations relating F ST and effective population size (N e) in the Methods section 'Genome-wide scan for selection based on temporal differentiation'. The correct equations are given below. (Formula Presented). All the calculations and results presented in the Article were obtained using these correct equations and need no amendment. The conclusions of our study are therefore in no way affected

Interaction between APOE4 and lifestyle on neuroimaging biomarkers and cognition in cognitively unimpaired older adults

peer reviewedBackground: APOE4 is the main genetic risk factor for Alzheimer’s disease (AD). Recent findings suggest that lifestyle factors could modulate the association between APOE4 and cognitive impairment and/or dementia risk. However, a comprehensive assessment of the interactions between lifestyle and APOE4 status on neuroimaging and cognitive markers of aging and AD is still missing. Our objective is to assess this question in cognitively normal elderly. Method: Baseline data of 134 cognitively unimpaired older adults (mean age: 69) from the Age-Well study were analysed. They underwent lifestyle questionnaires (physical and cognitive activity, and diet), neuropsychological assessment (global cognition, memory, attention and executive functions) and multimodal neuroimaging (structural MRI, FDG- and Florbetapir-PET). Interactions between lifestyle and APOE4 status on neuroimaging and cognition were assessed for each lifestyle factor separately. Result: There was an interaction between APOE4 status and cognitive activity on neuroimaging measures (p-values<.04), such that higher cognitive engagement was associated with lower grey matter volume in the parahippocampal cortex and lower brain perfusion in the entorhinal and perirhinal cortices in APOE4 carriers only (Figure 1A). However, greater cognitive engagement was associated with increased cognitive performance (global cognition, executive function and attention, all p-values<.005), and this irrespective of APOE4 status (i.e., no cognitive activity x APOE4 status interaction; Figure 1B). For diet, interactions were evidenced (p-values <.04) such that higher adherence to the Mediterranean diet was associated with i) higher brain glucose metabolism in the medial temporal lobe (Figure 2A) and ii) higher performance on attention tests (Figure 2B) in APOE4 carriers only. No interactions were found for physical activity. Conclusion: Our results indicate that APOE4 carriers with higher cognitive activity had lower brain outcomes but preserved cognition, suggesting that enriched cognitive engagement promotes cognitive resilience in this population. On the other hand, APOE4 carriers with higher adherence to the Mediterranean diet had greater cerebral metabolism and greater attention capacities. Overall, this suggests that distinct lifestyle factors differentially help APOE4 carriers to resist or cope with brain alteration and postpone cognitive decline

JAK2 V617F polycythemia vera and essential thrombocythemia: dynamic clinical features associated with long-term outcomes

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Correction: Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

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Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

BackgroundWe previously reported that impaired type I IFN activity, due to inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity or to autoantibodies against type I IFN, account for 15-20% of cases of life-threatening COVID-19 in unvaccinated patients. Therefore, the determinants of life-threatening COVID-19 remain to be identified in similar to 80% of cases.MethodsWe report here a genome-wide rare variant burden association analysis in 3269 unvaccinated patients with life-threatening COVID-19, and 1373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. Among the 928 patients tested for autoantibodies against type I IFN, a quarter (234) were positive and were excluded.ResultsNo gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI 1.5-528.7, P=1.1x10(-4)) for biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR=3.70[95%CI 1.3-8.2], P=2.1x10(-4)). This enrichment was further strengthened by (1) adding the recently reported TYK2 and TLR7 COVID-19 loci, particularly under a recessive model (OR=19.65[95%CI 2.1-2635.4], P=3.4x10(-3)), and (2) considering as pLOF branchpoint variants with potentially strong impacts on splicing among the 15 loci (OR=4.40[9%CI 2.3-8.4], P=7.7x10(-8)). Finally, the patients with pLOF/bLOF variants at these 15 loci were significantly younger (mean age [SD]=43.3 [20.3] years) than the other patients (56.0 [17.3] years; P=1.68x10(-5)).ConclusionsRare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old