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Amaro, A.

Publications and source records attributed to Amaro, A..

3 recordsLinked to original sources

Population analysis and host-disease associations of Shiga toxin-producing Escherichia coli from various sources across eleven European countries using whole genome sequencing

Shiga toxin-producing Escherichia coli (STEC) are important foodborne pathogens, able to cause severe disease in humans. In the DiSCoVeR project (https://onehealthejp.eu/jrp-discover/) a STEC inventory from human and non-human sources from 11 European countries was set up and [≥] 3500 strains were sequenced to perform comparative genomics analysis. We used this dataset to assess STEC population structure and to investigate potential associations between genomic features, host reservoirs and symptoms. Most STEC isolates analysed by Whole Genome Sequencing (WGS) in this study were collected between years 2010-2020. An ad hoc pipeline was deployed for a harmonised characterization of the STEC in the database, allowing the determination of serotyping, stx gene subtyping, 7-loci MLST, virulotyping and cgMLST. The results were analysed with Principal Component Analysis (PCoA) in relation with isolation source to assess clustering of STEC subpopulations. When human STEC data were analysed, the PCoA revealed three distinct human STEC subpopulations (STEC_1, STEC_2 and STEC_3), which were further analysed for associations between genomic features, symptoms and variance. The non-human STEC showed a more dispersed distribution, except for one subpopulation with genes linked to specific host species, and some virulence profiles overlapping with the STEC_1 population. In conclusion, our analysis identified distinct STEC subpopulations from human cases, each characterized by specific genetic features and associated with varying proportions of severe disease outcomes. These findings provide novel insights supporting the risk assessment of STEC. Impact statement[This lay summary of your article should be no more than 200 words, and should a) provide a perspective of how this article adds to the literature in the field; b) identify breadth of interest/utility; and c) state the significance of output (incremental or step), in terms of relevance.] This study is based on the establishment of a One Health STEC genomes database, including sequences from isolates of different sources. Most of the isolates had been isolated in the ten-years time span 2010-2020, in 11 different countries, for surveillance and monitoring activities or specific surveys and research purposes. The final dataset included the whole genome sequencing of 3,418 STEC isolates, mainly from human cases of infections. The metadata included the host symptoms, where available, for human STEC strains and the animal source the strains had been isolated from. We set up a pipeline for the harmonized analysis of STEC WGS, called Discover, made available though ARIES webserver or GitHub. The analysis allowed a deep characterization of STEC strains circulating in Europe. We used this resource to assess STEC population structure and to investigate potential associations between genomic features, host reservoirs, and various symptoms associated with STEC infection by PCoA. This analysis highlighted the presence of subpopulation of human STEC associated with specific features. We provide new information useful for risk characterization, as well as a large dataset genome database and associated metadata compiled from STEC strains, representing a valuable resource for the scientific community, enabling further investigations into STEC diversity, evolution, source attribution and public health relevance. Data summaryThe authors confirm all supporting data, including sequence data accession numbers, code and protocols have been provided within the article or through supplementary data files. One supplementary method and five supplementary tables are available with the online version of this article

genomics↗

TREM2 deficiency causes region-specific brain effects in a mouse model of cerebral amyloid angiopathy

Cerebral amyloid angiopathy (CAA), a major vascular contributor to cognitive decline, is present in 85-95% of Alzheimers disease (AD) patients. Despite its high prevalence, the mechanisms by which CAA contributes to neurodegeneration remain poorly understood. Triggering receptor expressed on myeloid cells 2 (TREM2), an innate immune receptor expressed exclusively by microglia, regulates activation, phagocytosis, and amyloid clearance, thereby shaping neuroinflammation. Loss-of-function mutations in TREM2 markedly increase AD risk, but its role in CAA pathology remains unknown. To investigate this, we crossed the Familial Danish Dementia (Tg-FDD) mouse model, which accumulates robust vascular amyloid, with TREM2 knockout (TREM2KO) mice to generate Tg-FDD/TREM2KO animals. Histological and transcriptomic analyses revealed region-specific effects of TREM2 deficiency. In the cortex, TREM2 loss markedly reduced vascular amyloid deposition, accompanied by decreased tau pathology. In contrast, in the cerebellum, TREM2 deletion exacerbated vascular amyloid accumulation, promoted astrogliosis, and enhanced tau pathology. Transcriptomic profiling further identified distinct neuroinflammatory signatures between cortex and cerebellum, particularly in cytokine signaling, matrix remodeling, and lipid metabolism. Together, these findings demonstrate that TREM2 deficiency leads to region-specific effects on CAA, revealing extensive regional variability in vascular amyloid pathology and underscoring the importance of considering these differences when developing TREM2-based therapies.

neuroscience↗

Tau-seed interactome analysis reveals distinct functional signatures in Alzheimer's disease across model systems.

Tau aggregates propagate through the brain in a prion-like manner in Alzheimers disease (AD) and other tauopathies, but the molecular identity and functional partners of the seeding-competent Tau species remain poorly defined. Here, we present an unbiased proteomic profiling of a high-molecular-weight (HMW) Tau-seed isolated from AD patient brains. We contrast this interactome with that of a biochemically similar, seeding-incompetent HMW-Tau species from age-matched healthy controls. Despite comprising less than 5% of total Tau in the brain, Tau-seed associates with a distinct set of proteins enriched in synaptic, mitochondrial, and vesicle-trafficking functions. Cross-species functional screening in Drosophila and mouse models identifies interactors that modulate Tau toxicity and seeding. Spatially resolved analysis of postmortem AD brains reveals heterogenous co-deposition of these proteins with Tau aggregates, suggesting functionally distinct Tau-seed complexes. Together, this dataset provides a framework for understanding selective Tau-seed toxicity and identifies candidate regulators of Tau propagation with therapeutic potential.

neuroscience↗