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Correia, J.

Publications and source records attributed to Correia, J..

12 recordsLinked to original sources

Impaired Peroxisome Import Drives Cellular Senescence through SCAF1-Dependent Suppression of Mitoribosome Biogenesis

Communication between peroxisomes and mitochondria is essential for cellular metabolic homeostasis, yet how peroxisomal import stress impacts mitochondria function during aging and cellular senescence remains poorly defined. Using a genome-wide CRISPR screening in HEK293 cells under peroxisome import stress, we identified SCAF1 (SR-related CTD-associated factor 1) a known canonical nuclear pre-mRNA splicing factor, as an essential regulator of mitochondrial homeostasis. Under peroxisome stress SCAF1 undergoes proteolytic processing and translocates to the mitochondria, where its N-terminal region acts as an autonomous repressor module that blocks mitoribosomal subunit joining. Consequently, SCAF1 depletion accelerates subunit joining and elevates oxidative phosphorylation protein levels, whereas its overexpression in IMR90 fibroblast cells triggers robust cellular senescence characterized by increased senescence associated {beta} gal staining. Together, our findings uncover a stress-responsive peroxisome-to-mitochondria signaling axis mediated by SCAF1 translocation. This pathway directly modulates mitoribosome assembly to maintain translational homeostasis, providing a precise molecular mechanism for how upstream peroxisomal decline drives downstream mitochondrial dysfunction and cellular senescence.

cell biology↗

Identification of anti-resorptive GPCRs by high-content imaging in human osteoclasts

Osteoporosis diagnoses are increasing in the ageing population and although several treatments exist, these have several disadvantages, highlighting the need to identify new drug targets. G protein-coupled receptors (GPCRs) are transmembrane proteins whose surface expression and extracellular activation make them desirable drug targets. Our previous studies have identified 144 GPCR genes to be expressed in primary human osteoclasts, which could provide novel drug targets. The development of high-throughput assays to assess osteoclast activity would improve the efficiency at which we could assess the effect of GPCR activation on human bone cells and could be utilised for future compound screening. Here we assessed the utility of a high-content imaging (HCI) assay that measured cytoplasmic-to-nuclear translocation of the nuclear factor of activated T cells-1 (NFATc1), a transcription factor that is essential for osteoclast differentiation and resorptive activity. We first demonstrated that the HCI assay detected changes in NFATc1 nuclear translocation in human primary osteoclasts using GIPR as a positive control, then developed an automated analysis platform to assess NFATc1 in nuclei in an efficient and unbiased manner. We assessed six GPCRs simultaneously and identified four receptors (FFAR2, FFAR4, FPR1, GPR35) that reduced osteoclast activity. Bone resorption assays and measurements of TRAP activity verified that activation of these GPCRs reduced osteoclast activity, and that receptor-specific antagonists prevented these effects. These studies demonstrate that HCI of NFATc1 can accurately assess osteoclast activity in human cells, reducing observer bias and increasing efficiency of target detection for future osteoclast-targeted osteoporosis therapies.

cell biology↗

DeepMol: An Automated Machine and Deep Learning Framework for Computational Chemistry

The domain of computational chemistry has experienced a significant evolution due to the introduction of Machine Learning (ML) technologies. Despite its potential to revolutionize the field, researchers are often encumbered by obstacles, such as the complexity of selecting optimal algorithms, the automation of data pre-processing steps, the necessity for adaptive feature engineering, and the assurance of model performance consistency across different datasets. Addressing these issues head-on, DeepMol stands out as an Automated ML (AutoML) tool by automating critical steps of the ML pipeline. DeepMol rapidly and automatically identifies the most effective data representation, pre-processing methods and model configurations for a specific molecular property/activity prediction problem. On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/. By introducing AutoML as a ground-breaking feature in computational chemistry, DeepMol establishes itself as the pioneering state-of-the-art tool in the field.

bioinformatics↗

A new paradigm of intracrine free fatty acid receptor 4 signaling at lipid droplets

G protein-coupled receptors (GPCRs), once thought to be active exclusively at the plasma membrane, have been shown to signal from multiple intracellular membrane compartments, including endosomes and the Golgi. However, the potential occurrence and functional relevance of intracellular signaling for the emerging family of metabolite-sensing GPCRs is largely unknown. Here, we used live-cell imaging, bioluminescence resonance energy transfer (BRET) measurements, and functional readouts to investigate signal compartmentalization of the free fatty acid receptor 4 (FFA4), a prototypical metabolite-sensing GPCR that is activated by medium- and long-chain free fatty acids (FFAs). Unexpectedly, we show that FFA4 largely resides on intracellular membranes that are intimately associated with lipid droplets in adipocytes. Upon lipolysis induction, the released FFAs rapidly bind to and activate this intracellular pool of FFA4, leading to local Gi/o coupling and inhibition of cAMP production in the vicinity of lipid droplets. This provides a spatiotemporally confined negative feedback mechanism allowing individual lipid droplets to rapidly adjust their lipolysis rate. Our results reveal a novel intracrine signaling modality by a prototypical metabolite-sensing GPCR and identify a new lipid-droplet-associated signaling hub implicated in the rapid regulation of lipid metabolism, with important implications for adipocyte physiology and pharmacology.

pharmacology and toxicology↗

Pseudomonas aeruginosa increases the susceptibility of Candida albicans to amphotericin B in dual species biofilms

Biofilms are the leading cause of nosocomial infections, and are hard to eradicate due to their inherent antimicrobial resistance. Candida albicans is the leading cause of nosocomial fungal infections, and is frequently co-isolated with the bacterium Pseudomonas aeruginosa from biofilms in the Cystic Fibrosis lung and severe burn wounds. The presence of C. albicans in multi-species biofilms is associated with enhanced antibacterial resistance, which is largely mediated through fungal extracellular carbohydrates sequestering the antibiotics. However, significantly less is known regarding the impact of polymicrobial biofilms on antifungal resistance. Here we show that, in dual species biofilms, P. aeruginosa enhances the sensitivity of C. albicans to amphotericin B, an effect that was biofilm specific. Transcriptional analysis combined with gene ontology enrichment analysis identified several C. albicans processes associated with oxidative stress to be differentially regulated in dual species biofilms, suggesting that P. aeruginosa exerts oxidative stress on C. albicans, likely through the actions of secreted phenazines. However, the mitochondrial superoxide dismutase SOD2 was significantly downregulated in the presence of P. aeruginosa. Monospecies biofilms of the sod2{Delta} mutant were more susceptible to amphotericin B, and the susceptibility of these biofilms was further enhanced by the addition of exogenous phenazines. Therefore, we propose that in dual species biofilms, P. aeruginosa simultaneously induces mitochondrial oxidative stress, whilst downregulating key detoxification enzymes, which prevent C. albicans mounting an appropriate oxidative stress response to amphotericin B, leading to fungal cell death. This work highlights the importance of understanding the impact of polymicrobial interactions on antimicrobial susceptibility. ImportanceBiofilms are aggregates of cells encased in an extracellular matrix, and are responsible for the majority of infections in hospitals. The Gram-negative bacterium Pseudomonas aeruginosa, and the fungal pathogen Candida albicans are frequently co-isolated from biofilms in the Cystic Fibrosis lung, and in burn wounds. Here we show that in these biofilms, P. aeruginosa secreted phenazines induce mitochondrial reactive oxygen species stress, which enhances the sensitivity of C. albicans to the antifungal amphotericin B. This work highlights the importance of understanding the impact of polymicrobial interactions on antimicrobial susceptibility.

microbiology↗

Human pericytes degrade alpha-synuclein aggregates in a strain-dependent manner

Parkinsons disease (PD) is a progressive, neurodegenerative disorder characterised by the abnormal accumulation of -synuclein (-syn) aggregates. Central to disease progression is the gradual spread of pathological -syn. -syn aggregation is closely linked to progressive neuron loss. As such, clearance of -syn aggregates may slow the progression of PD and lead to less severe symptoms. Evidence that non-neuronal cells play a role in PD and other synucleinopathies such as Lewy body dementia and multiple system atrophy are increasing. Our previous work has shown that pericytes -- vascular mural cells that regulate the blood-brain barrier -- contain -syn aggregates in human PD brains. Here, we demonstrate that pericytes efficiently internalise fibrillar -syn irrespective of being in a monoculture or mixed neuronal cell culture. Pericytes efficiently break down -syn aggregates in vitro, with clear differences in the number of -syn aggregates/cell and average aggregate size when comparing five pure -syn strains (Fibrils, Ribbons, fibrils65, fibrils91 and fibrils110). Furthermore, pericytes derived from PD brains have a less uniform response than those derived from control brains. Our results highlight the vital role brain vasculature may play in reducing -syn burden in PD.

neuroscience↗

An in vitro method for inducing titan cells reveals novel features of yeast-to-titan switching in the human fungal pathogen Cryptococcus gattii

Cryptococcosis is a potentially lethal fungal infection of humans caused by organisms within the Cryptococcus neoformans/gattii species complex. Whilst C. neoformans is a relatively common pathogen of immunocompromised individuals, C. gattii is capable of acting as a primary pathogen of immunocompetent individuals. Within the host, both species undergo morphogenesis to form titan cells: exceptionally large cells that are critical for disease establishment. To date, the induction, defining attributes, and underlying mechanism of titanisation have been mainly characterized in C. neoformans. Here, we report the serendipitous discovery of a simple and robust protocol for in vitro induction of titan cells in C. gattii. Using this in vitro approach, we reveal a remarkably high capacity for titanisation within C. gattii, especially in strains associated with the Pacific Northwest Outbreak, and characterise strain-specific differences within the clade. In particular, this approach demonstrates for the first time that cell size changes, DNA amplification, and budding are not always synchronous during titanisation. Interestingly, however, exhibition of these cell cycle phenotypes was correlated with genes associated with cell cycle progression including CDC11, CLN1, BUB2, and MCM6. Finally, our findings reveal exogenous p-Aminobenzoic acid to be a key inducer of titanisation in this organism. Consequently, this approach offers significant opportunities for future exploration of the underlying mechanism of titanisation in this genus.

microbiology↗

Serum levels and tumour expression of leptin and leptin receptor as promising clinical biomarkers of specific feline mammary carcinoma subtypes

Obesity is a risk factor for human breast cancer, being associated with increased serum levels of leptin. In cat, although obesity is a common nutritional disorder, the role of leptin and its receptor in mammary carcinoma is unknown. In this study, serum levels of leptin and leptin receptor (ObR) were evaluated in 58 cats with mammary carcinoma and compared with healthy controls by ELISA, as tumour expression by immunohistochemistry. Results showed that the free leptin index is decreased in cats with mammary carcinoma (p=0.0006), particularly for those with luminal B and HER2-positive disease that showed significantly lower serum leptin levels (p<0.0001 and p<0.005, respectively). Serum leptin levels above 4.17 pg/mL were associated with ulcerating tumours (p=0.0005) and shorter DFS (p=0.0217). Elevated serum ObR levels were found in all cats with mammary carcinoma (p<0.0001), with levels above 16.89 ng/mL being associated with smaller tumours (p=0.0118), ER-negative status in HER2-positive tumours (p=0.0291) and increased serum levels of CTLA-4 (p=0.0056), TNF- (p=0.0025), PD-1 (p=0.0023) and PD-L1 (p=0.0002). In tumour samples, leptin was overexpressed in luminal B and triple-negative carcinomas (p=0.0046), whereas ObR was found overexpressed in luminal B samples (p=0.0425). Altogether, our results reinforce the importance of feline mammary carcinoma in comparative oncology.

cancer biology↗

PD-1 and PD-L1 are diagnostic biomarkers and PD-L1 a promising therapeutic target in HER2-positive and triple negative normal-like feline mammary carcinoma subtypes

Tumor microenvironment has gained great relevance due to its ability to regulate distinct checkpoints mediators, orchestrating tumor progression. In order to understand the role of the PD- 1/PD-L1 axis in cats with mammary carcinoma, serum PD-1 and PD-L1 levels were compared with healthy controls and with serum CTLA-4 and TNF- levels. PD-1 and PD-L1 expression was evaluated in TILs and cancer cells, as the presence of somatic mutations. Results showed that serum PD-1 and PD-L1 levels were significantly higher in cats with HER2-positive (p=0.017; p=0.032) and triple negative (TN) normal-like mammary carcinomas (p=0.004; p=0.015). Besides, cats presenting these tumor subtypes showed a strong positive correlation between serum PD-1, PD-L1, CTLA-4 and TNF- levels. In tumors, PD-L1 expression in cancer cells was significantly higher in HER2-positive samples than in TN normal-like tumors (p=0.010), as the percentage of PD-L1-positive TILs (p=0.038). Results from the PD-L1 gene sequencing identified two heterozygous mutations in exon 4 (A245T, 3.8%; V252M, 42.3%) and one in exon 5 (T267S, 3.8%). In summary, results support that serum PD-1 and PD-L1 levels can be used as diagnostic biomarkers of HER2-positive and TN normal-like feline mammary carcinomas and suggest that the development of monoclonal antibodies may be a good therapeutic strategy.

cancer biology↗

A map of transcriptional heterogeneity and regulatory variation in human microglia

Microglia, the tissue resident macrophages of the CNS, are implicated in a broad range of neurological pathologies, from acute brain injury to dementia. Here, we profiled gene expression variation in primary human microglia isolated from 141 patients undergoing neurosurgery. Using single cell and bulk RNA sequencing, we defined distinct cellular populations of acutely in vivo-activated microglia, and characterised a dramatic switch in microglial population composition in patients suffering from acute brain injury. We mapped expression quantitative trait loci (eQTLs) in human microglia and show that many disease-associated eQTLs in microglia replicate well in a human induced pluripotent stem cell (hIPSC) derived macrophage model system. Using ATAC-seq from 95 individuals in this hIPSC model we fine-map candidate causal variants at risk loci for Alzheimers disease, the most prevalent neurodegenerative condition in acute brain injury patients. Our study provides the first population-scale transcriptional map of a critically important cell for neurodegenerative disorders.

genomics↗

PGC-1α isoforms coordinate to balance hepatic metabolism and apoptosis in inflammatory environments

Liver is regularly exposed to changing metabolic and inflammatory environments. It must sense and adapt to metabolic need while balancing resources required to protect itself from insult. PGC-1 is a transcriptional coactivator that both coordinates metabolic adaptation to diverse stimuli and protects against inflammation. However, it is not known how PGC-1 integrates extracellular signals to balance metabolic and anti-inflammatory outcomes. PGC-1 exists as multiple, alternatively spliced variants expressed from different promoters. Primary mouse hepatocytes were used to evaluate the role(s) of different PGC-1 proteins in regulating hepatic metabolism and inflammatory signaling downstream of TNF. PGC-11 and PGC-14 were expressed in hepatocytes and expression analysis uncovered shared and isoform-specific roles for these variants linked to metabolism and inflammation. PGC-11 primarily impacted gene programs of nutrient and mitochondrial metabolism, while TNF signaling revealed that PGC-14 influenced several pathways related to innate immunity and cell death. Gain- and loss-of-function models illustrated that PGC-14 uniquely enhanced expression of anti-apoptotic gene programs and attenuated hepatocyte apoptosis in response to TNF or LPS. This was in contrast to PGC-11, which reduced the expression of a wide inflammatory gene network, but did not prevent liver cell death in response to the cytokine. We conclude that PGC-1 variants have distinct, yet complimentary roles in hepatic responses to metabolism and inflammation and identify PGC-14 as an important mitigator of apoptosis.

molecular biology↗

A bacterial endosymbiont enables fungal immune evasion during fatal mucormycete infection

Opportunistic infections by environmental fungi are a growing clinical problem, driven by an increasing population of people with immunocompromising conditions. Spores of the Mucorales order are ubiquitious in the environment but can also cause acute invasive infections in humans through germination and evasion of the mammalian host immune system. How they achieve this, and the evolutionary drivers underlying the acquisition of virulence mechanisms, are poorly understood. Here we show that a clinical isolate of Rhizopus microsporus contains a Ralstonia pickettii bacterial endosymbiont required for virulence in both zebrafish and mice, and that this endosymbiosis enables secretion of factors that potently suppress growth of the soil amoeba Dictyostelium discoideum, as well as their ability to engulf and kill other microbes. As amoebae are natural environmental predators of both bacteria and fungi, we propose this tri-kingdom interaction contributes to establishing the endosymbiosis, and acquisition of anti-phagocyte activity. Importantly, we show this activity also protects fungal spores from phagocytosis and clearance by human macrophages, and endosymbiont removal renders the fungal spores avirulent in vivo. Together, these findings describe a novel role for a bacterial endosymbiont in Rhizopus microsporus pathogenesis in animals, and suggest a mechanism of virulence acquisition through environmental interactions with amoebae. In briefHow environmental fungi evolved the mechanisms that enable them to cause opportunistic infections in humans is unclear. Here, we identify a novel tri-kingdom interaction, whereby a bacterial endosymbiont, living within a clinical isolate of the ubiquitous environmental fungus Rhizopus microsporus, causes the generation of a secreted activity that blocks the growth and predatory activity of amoebae. We suggest this provides a new evolutionary driver for the establishment of bacterial/fungal endosymbiosis and demonstrate this is critical for fungal pathogenicity in vivo.

microbiology↗