Biology subjects

Cortes, A.

Publications and source records attributed to Cortes, A..

28 records · Page 2Linked to original sources

bioRxiv2021

The PfAP2-HS transcription factor protects malaria parasites from febrile temperatures

Periodic fever is the most characteristic clinical feature of human malaria1-3, but how parasites survive febrile episodes is not known. While Plasmodium spp. genomes encode a full complement of chaperones4, they lack an ortholog of the conserved transcription factor HSF1, which in most eukaryotes activates the expression of key chaperones upon heat shock (HS)5-8. Here we identified PfAP2-HS, a transcription factor of the ApiAP2 family9-11, as the key regulator of the P. falciparum protective HS response. The PfAP2-HS-dependent HS response is largely restricted to rapid activation of hsp70-1, the predominant direct target of PfAP2-HS, and hsp90. Deletion of PfAP2-HS dramatically reduced HS survival and also resulted in severe growth defects at 37{degrees}C, but not at 35{degrees}C, and increased sensitivity to imbalances in protein homeostasis (proteostasis) produced by artemisinin, the current frontline antimalarial drug12,13. These results demonstrate that PfAP2-HS contributes to general maintenance of proteostasis and drives a rapid chaperone-based protective response against febrile temperatures. While several ApiAP2 transcription factors regulate life cycle transitions in malaria parasites11,14,15, PfAP2-HS is the first identified Plasmodium transcription factor that controls a protective response to a within-host environmental challenge.

microbiology↗

bioRxiv2021

Expression patterns of Plasmodium falciparum clonally variant genes at the onset of a blood infection in non-immune humans

Clonally variant genes (CVGs) play fundamental roles in the adaptation of Plasmodium falciparum parasites to the fluctuating conditions of the human host. However, their expression patterns under the natural conditions of the blood circulation have been characterized in detail only for a few specific gene families. Here we provide a detailed characterization of the complete P. falciparum transcriptome across the full intraerythrocytic development cycle (IDC) at the onset of a blood infection in non-immune human volunteers. We found that the vast majority of transcriptional differences between parasites obtained from the volunteers and the parental parasite line maintained in culture occur in CVGs. Specifically, we observed a major increase in the transcript levels of most members of the pfmc-2tm and gbp families and of specific genes of other families, in addition to previously reported changes in var and clag3 genes expression. Large transcriptional differences correlate with changes in the distribution of heterochromatin, confirming their epigenetic nature. The analysis of parasites collected at different time points along the infection indicates that when parasites pass through transmission stages, the epigenetic memory at CVG loci is lost, resulting in a reset of their expression state and reestablishment of new epigenetic patterns. ImportanceThe ability of malaria parasites to adapt to changes in the human blood environment, where they produce long term infection associated with clinical symptoms, is fundamental for their survival. Clonally variant genes, regulated at the epigenetic level, play a major role in this adaptive process, as changes in the expression of these genes result in antigenic and functional alterations that enable immune evasion and provide phenotypic plasticity. However, the way these genes are expressed under the natural conditions of the human circulation or how their expression is affected by passage through transmission stages is not well understood. Here we provide a comprehensive characterization of the expression patterns of these genes at the onset of human blood infections, which reveals major differences with in vitro cultured parasites and also distinctive alterations between different families of clonally variant genes. We also show that epigenetic patterns are erased and reestablished during transmission stages.

microbiology↗

bioRxiv2020

Common allotypes of ER aminopeptidase 1 have substrate- dependent and highly variable enzymatic properties

ObjectivePolymorphic variation of immune system proteins can drive variability of individual immune responses. ER aminopeptidase 1 (ERAP1) generates antigenic peptides for presentation by MHC class I molecules. Coding single nucleotide polymorphisms (SNPs) in ERAP1 have been associated with predisposition to inflammatory rheumatic disease and shown to affect functional properties of the enzyme, but the interplay between combinations of these SNPs as they exist in allotypes, has not been thoroughly explored. MethodsWe used phased genotype data to estimate ERAP1 allotype frequency in 2,504 individuals across five major human populations, generated highly pure recombinant enzymes corresponding to the 10 most common ERAP1 allotypes and systematically characterized their in vitro enzymatic properties. ResultsWe find that ERAP1 allotypes possess a wide range of enzymatic activities, up to 60-fold, whose ranking is substrate-dependent. Strikingly, allotype 10, previously associated with Behcets disease, is consistently a low-activity outlier, suggesting that a significant percentage of individuals carry a sub-active ERAP1 gene. Enzymatic analysis revealed that ERAP1 allotypes can differ in both catalytic efficiency and substrate affinity, differences that can change intermediate accumulation in multi-step trimming reactions. Alterations in efficacy of an allosteric inhibitor that targets the regulatory site suggest that allotypic variation influences the communication between the regulatory and the active site. ConclusionOur work defines the wide landscape of ERAP1 activity in human populations and demonstrates how common allotypes can induce substrate-dependent variability in antigen processing, thus contributing, in synergy with MHC haplotypes, to immune response variability and to predisposition to chronic inflammatory conditions.

biochemistry↗

bioRxiv2020

Exposure to artemisinin at the trophozoite stage increases sexual conversion rates in the malaria parasite Plasmodium falciparum

Malaria transmission is dependent on formation of gametocytes in the human blood. The sexual conversion rate, the proportion of asexual parasites that convert into gametocytes at each multiplication cycle, is variable and reflects the relative parasite investment between transmission and maintaining the infection. The impact of environmental factors such as drugs on sexual conversion rates is not well understood. We developed a robust assay using gametocyte-reporter parasite lines to accurately measure the impact of drugs on conversion rates, independently from their gametocytocidal activity. We found that exposure to subcurative doses of the frontline antimalarial drug dihydroartemisinin (DHA) at the trophozoite stage resulted in a ~4-fold increase in sexual conversion. In contrast, no increase was observed when ring stages were exposed or in cultures in which sexual conversion was stimulated by choline depletion. Our results reveal a complex relationship between antimalarial drugs and sexual conversion, with potential public health implications.

microbiology↗

bioRxiv2019

Modulation of dopamine D1 receptors via histamine H3 receptors is a novel therapeutic target for Huntington’s disease

Early Huntingtons disease (HD) include over-activation of dopamine D1 receptors (D1R), producing an imbalance in dopaminergic neurotransmission and cell death. To reduce D1R over-activation, we present a strategy based on targeting complexes of D1R and histamine H3 receptors (H3R). Using an HD striatal cell model and HD organotypic brain slices we found that D1R-induced cell death signaling and neuronal degeneration, are mitigated by an H3R antagonist. We demonstrate that the D1R-H3R heteromer is expressed in HD animal models at early but not late stages of HD, correlating with HD progression. In accordance, we found this target expressed in human control subjects and low-grade HD patients. Finally, treatment of HD mice with an H3R antagonist prevented cognitive and motor learning deficits, as well as the loss of heteromer expression. Taken together, our results indicate that D1R - H3R heteromers play a pivotal role in dopamine signaling and represent novel targets for treating HD.\n\nImpact StatementProgression of Huntingtons disease can be slowed by altering dopamine signalling through the Dopamine 1 receptor - Histamine 3 receptor heteromer.

neuroscience↗

bioRxiv2019

A RUNX3 enhancer polymorphism associated with ankylosing spondylitis influences recruitment of Interferon Regulatory Factor 5 and factors of the Nucleosome Remodelling Deacetylase Complex in CD8+ T-cells

ObjectivesTo investigate the functional consequences of the single nucleotide polymorphism rs4648889 in a putative enhancer upstream of the RUNX3 promoter strongly associated with ankylosing spondylitis (AS).\n\nMethodsThe effects of rs4648889 on transcription factor (TF) binding were tested by DNA pull-down and quantitative mass spectrometry. The results were validated by electrophoretic mobility gel shift assays (EMSA), Western blot (WB) analysis of the pulled-down eluates, and chromatin immuno-precipitation (ChIP)-qPCR.\n\nResultsSeveral TFs showed differential allelic binding to a 50bp DNA probe spanning rs4648889. Binding was increased to the AS-risk A allele for IKZF3 (aiolos) in nuclear extracts from CD8+ T-cells (3.7-fold, p<0.03) and several components of the NUcleosome Remodeling Deacetylase (NuRD) complex, including Chromodomain-Helicase-DNA-binding protein 4 (3.6-fold, p<0.05) and Retinoblastoma-Binding Protein 4 (4.1-fold, p<0.02). In contrast, binding of interferon regulatory factor (IRF) 5 was increased to the AS-protective G allele. These results were confirmed by EMSA, WB and ChIP-qPCR.\n\nConclusionsThe association of AS with rs4648889 most likely results from its influence on the binding of this enhancer-like region to TFs, including IRF5, IKZF3 and members of the NuRD complex. Further investigation of these factors and RUNX3-related pathways may reveal important new therapeutic possibilities in AS.

genetics↗

bioRxiv2018

Mitochondrial Na+ import controls oxidative phosphorylation and hypoxic redox signalling

All metazoans depend on O2 delivery and consumption by the mitochondrial oxidative phosphorylation (OXPHOS) system to produce energy. A decrease in O2 availability (hypoxia) leads to profound metabolic rewiring. In addition, OXPHOS uses O2 to produce reactive oxygen species (ROS) that can drive cell adaptations through redox signalling, but also trigger cell damage1-4, and both phenomena occur in hypoxia4-8. However, the precise mechanism by which acute hypoxia triggers mitochondrial ROS production is still unknown. Ca2+ is one of the best known examples of an ion acting as a second messenger9, yet the role ascribed to Na+ is to serve as a mere mediator of membrane potential and collaborating in ion transport10. Here we show that Na+ acts as a second messenger regulating OXPHOS function and ROS production by modulating fluidity of the inner mitochondrial membrane (IMM). We found that a conformational shift in mitochondrial complex I during acute hypoxia11 drives the acidification of the matrix and solubilization of calcium phosphate precipitates. The concomitant increase in matrix free-Ca2+ activates the mitochondrial Na+/Ca2+ exchanger (NCLX), which imports Na+ into the matrix. Na+ interacts with phospholipids reducing IMM fluidity and mobility of free ubiquinone between complex II and complex III, but not inside supercomplexes. As a consequence, superoxide is produced at complex III, generating a redox signal. Inhibition of mitochondrial Na+ import through NCLX is sufficient to block this pathway, preventing adaptation to hypoxia. These results reveal that Na+ import into the mitochondrial matrix controls OXPHOS function and redox signalling through an unexpected interaction with phospholipids, with profound consequences in cellular metabolism.

biochemistry↗

bioRxiv2018

Systematic classification of shared components of genetic risk for common human diseases

Disease classification is fundamental to clinical practice, but current taxonomies do not necessarily reflect the pathophysiological processes that are common or unique to different disorders, such as those determined by genetic risk factors. Here, we use routine healthcare data from the 500,000 participants in the UK Biobank to map genome-wide associations across 19,628 diagnostic terms. We find that 3,510 independent genetic risk loci affect multiple clinical phenotypes, which we cluster into 629 distinct disease association profiles. We use multiple approaches to link clusters to different underlying biological pathways and show how these clusters define the genetic architecture of common medical conditions, including hypertension and immune-mediated diseases. Finally, we demonstrate how clusters can be utilised to re-define disease relationships and to inform therapeutic strategies.\n\nOne sentence summarySystematic classification of genetic risk factors reveals molecular connectivity of human diseases with clinical implications

genetics↗

bioRxiv2017

Genome-wide genetic data on ~500,000 UK Biobank participants

The UK Biobank project is a large prospective cohort study of ~500,000 individuals from across the United Kingdom, aged between 40-69 at recruitment. A rich variety of phenotypic and health-related information is available on each participant, making the resource unprecedented in its size and scope. Here we describe the genome-wide genotype data (~805,000 markers) collected on all individuals in the cohort and its quality control procedures. Genotype data on this scale offers novel opportunities for assessing quality issues, although the wide range of ancestries of the individuals in the cohort also creates particular challenges. We also conducted a set of analyses that reveal properties of the genetic data - such as population structure and relatedness - that can be important for downstream analyses. In addition, we phased and imputed genotypes into the dataset, using computationally efficient methods combined with the Haplotype Reference Consortium (HRC) and UK10K haplotype resource. This increases the number of testable variants by over 100-fold to ~96 million variants. We also imputed classical allelic variation at 11 human leukocyte antigen (HLA) genes, and as a quality control check of this imputation, we replicate signals of known associations between HLA alleles and many common diseases. We describe tools that allow efficient genome-wide association studies (GWAS) of multiple traits and fast phenome-wide association studies (PheWAS), which work together with a new compressed file format that has been used to distribute the dataset. As a further check of the genotyped and imputed datasets, we performed a test-case genome-wide association scan on a well-studied human trait, standing height.

genetics↗

bioRxiv2017

Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank

Genetic discovery from the multitude of phenotypes extractable from routine healthcare data has the ability to radically transform our understanding of the human phenome, thereby accelerating progress towards precision medicine. However, a critical question when analysing high-dimensional and heterogeneous data is how to interrogate increasingly specific subphenotypes whilst retaining statistical power to detect genetic associations. Here we develop and employ a novel Bayesian analysis framework that exploits the hierarchical structure of diagnosis classifications to jointly analyse genetic variants against UK Biobank healthcare phenotypes. Our method displays a more than 20% increase in power to detect genetic effects over other approaches, such that we uncover the broader burden of genetic variation: we identify associations with over 2,000 diagnostic terms. We find novel associations with common immune-mediated diseases (IMD), we reveal the extent of genetic sharing between specific IMDs, and we expose differences in disease perception or diagnosis with potential clinical implications.

genetics↗