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Pena, M.

Publications and source records attributed to Pena, M..

14 recordsLinked to original sources

Surface architecture of the bacterial envelope determines phage adsorption route in pathogenic Escherichia coli O157:H7

The outermost surface layers of Gram-negative bacteria determine phage access to terminal receptors, yet their genetic basis has been mapped almost exclusively in laboratory strains that lack them. Here we apply genome-wide RB-TnSeq fitness profiling to four Escherichia coli O157:H7 strains from distinct phylogenetic clades sharing the O157 O-antigen, using 38 phages with terminal receptors previously mapped in E. coli K-12 strain. RB-TnSeq fitness landscapes across all four pathogenic backgrounds were mostly similar, and dominated by surface-associated loci, including the gfc-etk group 4 capsule operon, O-antigen biosynthesis genes, LPS core assembly genes and outer membrane proteins. Disruption of gfc-etk abolished infection in 11 genetically diverse myoviruses, establishing the O-antigen capsule as a widespread required primary recognition substrate. O-antigen loci generated two classes of fitness score patterns. For 10 phages, disruption increased infectivity, indicating it is a barrier to receptor access; for 3 others, disruption abolished infectivity, demonstrating it can also be a primary recognition substrate. Outer membrane protein receptor identity was conserved across laboratory and pathogenic backgrounds, with the same proteins recognized in both K-12 and O157:H7, while glycan layer state determines whether these receptors are reached. These results demonstrate that outer surface glycan layers can act as primary and optional recognition substrates for phage infection, or as physical barriers preventing terminal receptor access. Extending the ability to probe phage-targeted receptors beyond outer membrane proteins provides a framework for incorporating glycan layer state into predictive models of phage-host interactions.

microbiology↗

A supervised digital game intervention supports language and communication in young children.

The role of digital media in early childhood development remains highly debated, particularly regarding its impact on language acquisition. While excessive or unsupervised screen exposure has been linked to poorer outcomes, less is known about whether structured and interactive uses of technology can support learning. Building on previous research, we evaluated a brief, educator-supervised tablet-based intervention in 246 children aged 2-5 years from low- to middle-socioeconomic backgrounds attending public early education centers. Using a pre-post design with matched study and control groups, children completed 4-8 short training sessions (15 minutes each) involving interactive word-image associations spanning multiple linguistic categories. Preschoolers additionally engaged in prompted vocalization. Across age groups (2-3, 3-4, and 4-5 years), children in the intervention showed greater gains in language comprehension than controls, including receptive language in toddlers ({beta} = 0.49, p = 0.009), vocabulary and morphology in younger preschoolers ({beta} = 0.59-0.68, all p < 0.05), and grammar comprehension in older preschoolers ({beta} = 0.30, p = 0.038). These effects were consistent after accounting for child and parental characteristics. Together, these findings suggest that the developmental impact of digital media depends less on exposure itself than on how it is used. When embedded in structured, socially guided interactions, even brief tablet-based activities may support early language development

developmental biology↗

Enabling the prediction of phage receptor specificity from genome data

Predicting which receptor a phage binds to from genome sequence alone has remained an intractable challenge, principally because the experimental phenotypic data required to train and validate predictive models have not been available at sufficient scale. Here we address this by conducting 1,050 genome-wide genetic screens across 255 taxonomically diverse Escherichia coli dsDNA phages, assigning host receptors to 193 phages across 19 receptor classes. Comparative genomics and AlphaFold3 structural modelling resolved the sequence determinants of specificity to defined receptor-binding protein domains and individual residues. Machine learning models trained on this dataset predicted host receptor identity from phage genome sequence alone without prior annotation of receptor-binding genes, achieving perfect precision and greater than 80% recall on 49 independently validated phages, and yielding predictions for 1,060 of 1,875 E. coli phage genomes in NCBI. Domain swaps redirected receptor specificity as predicted, and a single amino acid substitution proved both necessary and sufficient to switch recognition between two distinct porins. These results demonstrate that systematic phenotyping at scale makes sequence-based prediction of molecular interaction specificity tractable, with direct implications for phage-based medicine, microbiome engineering and the broader challenge of inferring host-pathogen interaction outcomes from sequence.

microbiology↗

Pretend Comprehension Enhances Social and Exploratory Behaviors in Human Toddlers and Adults.

Pretend play is a hallmark behavior in childhood where children create nonliteral meanings. Empirical data supporting the role of social cognition and the decoupling from literality are still scarce during early development. Here we examined how the comprehension of pretense modulates visual exploration in 19-month-old toddlers (n = 44) and adults (n = 65) when they were exposed to short videos with an actress performing either real actions (e.g., eating jelly) or pretend actions (e.g., pretending to eat with imaginary food), while varying the complexity of those actions. We analyzed participants exploration of the actresss face as exploitation of social information. We showed that all observers paid more attention to the face in pretend episodes than in real ones, measured as longer total looking time in adults and more fixations and revisits to the face in both age groups. We also found more gaze shifts (a measure of information sampling) between the face and the moving hand in pretense across age groups, mainly at the initial stages of the actions. Additionally, analyses of the scanpaths structure using gaze entropy revealed less order in the exploration of pretend movies at both ages. Both social and visual trajectory effects emerged mostly in complex pretense actions. Together, our results indicate that from its developmental origins, the comprehension of pretense relies on social inferential processes linked with information seeking and exploration.

animal behavior and cognition↗

The richness of little voices: using artificial intelligence to understand early language development

The authors have withdrawn this manuscript because it was realized that the central classification result that we claimed was attributable to a phenomenon of shortcut learning in which the recording conditions for the audios used could have been the main source of information for the classifier, rather than the actual content of the child vocalizations, which was our target. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

neuroscience↗

Phylogeny-agnostic strain-level prediction of phage-host interactions from genomes

Bacteriophages offer promising alternatives to antibiotics for treating drug-resistant infections and engineering microbiomes, but applications are limited by inability to select phages infecting specific bacterial strains. Selecting suitable phages requires either one-to-one experimental assays or strain-level predictions of phage-host interactions. Existing computational approaches either predict host taxonomy at broad ranks unsuitable for strain-level targeting or require species-specific mechanistic knowledge limiting generalizability. Here, we present a phylogenyagnostic machine learning framework predicting strain-level phage-host interactions across diverse bacterial genera from genome sequences alone. Systematically optimizing the workflow over 13.2 million training runs across six datasets (115,037 interactions, 949 bacterial strains, 518 phages), we achieved performance matching species-specific methods (AUROC 0.67-0.94) while eliminating phylogenetic constraints. Comprehensive feature engineering identifies biologically interpretable genetic determinants while minimizing overfitting in sparse, imbalanced datasets. Experimental validation through 1,240 novel interactions confirmed generalizability (AUROC 0.84), while genome-wide RB-TnSeq screens verified that 68.6% of experimentally identified infection mediators were captured computationally, including receptors and cell wall biosynthesis pathways. Model-guided cocktail design achieved up to 97.5% bacterial coverage with five phages, and up to a 3.1-fold improvement in single-phage selection over promiscuity-based selection. This platform enables rational phage therapy design and precision microbiome engineering with applications in combating antimicrobial resistance across clinical, agricultural, and industrial contexts.

microbiology↗

A scalable human-zebrafish xenotransplantation model reveals gastrosome-mediated processing of dying neurons by human microglia

Microglia engulf dying neurons through efferocytosis, a critical function in both development and disease. How microglia process the engulfed neuronal material--especially lipids--remains poorly understood, despite its central role in neurodegeneration. Thus, we developed HuZIBRA, a scalable in vivo xenotransplantation model in which human iPSC-derived microglia-like cells (iMGLs) are introduced into the developing zebrafish brain (zf-hiMG), a system characterized by high levels of neuronal cell death and amenable to precise genetic and pharmacological manipulation. We show that human microglia-like cells recognize and engulf apoptotic zebrafish neurons, indicating conserved efferocytic mechanisms. In these cells, engulfed neuronal material accumulates into a distinct, lipid-rich intracellular compartment, the gastrosome, which we also observed in iMGLs placed in a human brain-like environment. The size of the human gastrosome dynamically reflects neuronal cell death levels and is regulated by key genes, including TREM2 and SLC37A2. Pharmacological inhibition of the cholesterol transporter NPC1 induces gastrosome expansion and lipid accumulation, recapitulating pathological features of Niemann-Pick disease type C. Thus, HuZIBRA provides a powerful in vivo platform to uncover cell-autonomous adaptive responses of human microglia to apoptotic and metabolic stress, with the gastrosome emerging as a key integrator of neuronal debris processing and disease-relevant lipid metabolism.

cell biology↗

CK2 inhibition suppresses glial inflammation in the brain

Neuroinflammation plays a key role in Alzheimers disease (AD) and related neurodegenerative disorders. Chronic activation of astrocytes and microglia fuels neuronal damage via cytokine secretion, oxidative stress, and proteolysis. However, glial inflammatory regulation remains poorly understood. Using chemoproteomics, we identified CK2, particularly the brain-enriched catalytic subunit CK22, as a key driver of astrocytic inflammation. CK2 enhances NF-{kappa}B activity by phosphorylating NF-{kappa}B S529 and I{kappa}B S32, promoting pro-inflammatory gene expression. CK2 inhibition via genetic or chemical approaches dampens inflammation, including IL-6 and IL-8 expression in an acute neuroinflammation mouse model. CK22 is upregulated in AD postmortem tissues and patient-derived astrocytes. AD astrocytes exhibit a hyperinflammatory state that can be attenuated by CK2 inhibition. Overexpression of CK22 in cortical organoids mimics AD pathology, whereas CK2 inhibition using the potent, selective, and brain-penetrant probe TAL606 rescues inflammatory markers in transgenic AD mice. These findings position CK2 as a central regulator of neuroinflammation and a promising therapeutic target for AD and related disorders.

neuroscience↗

A systems biology investigation to identify potential bi-omarkers in leprosy-affected host cells.

M. leprae adapts to the host cell environment and disrupts protein-protein interactions inside the host cell for its own survival and proliferation. This study is attempts to comprehend these host-pathogen interactions at the systems level. We utilised RNA-Seq data set of leprosy-resistant and leprosy-susceptible armadillos and investigated how five different human signaling pathways get hijacked by M. leprae. We also identified the corresponding human homolog proteins. By applying graph theory on these protein networks, we predicted 25 proteins which play important role in these pathways related to leprosy pathogenesis and/progression. The study is also supported by wet lab experiments identifying 69 proteins in armadillos upon leprosy progression after experimental infection which get differentially expressed. Our study found that 69.5% of these experimentally identified proteins are part of either M. leprae-affected signaling pathways or possibly contribute to leprosy pathogenesis based on their GO terms. This study identified three human proteins: LC3-II, PI3K and IDO1 which have been implicated in M. leprae pathogenesis in other studies also leprosy patients. Thus, upon further experimentally validation, such markers can be potentially useful to diagnose leprosy in patients at an early stage .

systems biology↗

Burnout in nurses and biomarkers of stress, inflammation and neuroplasticity.

Burnout is an occupational challenge to the health, performance, and retention of healthcare personnel. The objective of this cross-sectional study was to further our understanding of the association between burnout, work, coping, and cognitive impairment as it relates to neuroendocrine, inflammatory, and neuroplastic disease mechanisms. One hundred hospital- based registered nurses responded to a validated survey addressing employment and work characteristics, coping, and cognitive impairment, and a one-item, burnout scale. In addition, they all provided blood samples. Nineteen percent of the nurses reported symptoms of evolving burnout and an additional 12% reported established burnout. Severity of burnout was inversely associated with self-rated energy (p<.001), ability to concentrate (p<.001), and positively associated with stressed at work (p<.001), but not with workplace cognitive impairment. The anti-inflammatory and pro-energetic biomarker interleukin-10 was elevated in respondents in the combined two highest burnout categories (mean 2.81, S.E.M. 0.26 pg/mL) vs. a median of 2.09 pg/mL in the no-burnout category (p<.02). When biomarkers in blood were regressed on severity of burnout, concentration of the anabolic hormone dehydroepiandrosterone-sulfate (standardized beta -.73, p=.007) and the neuronal strain biomarker neurofilament light chain (-.79, p=.01) inversely predicted burnout. In contrast, the ability to cope with a tough situation at work was positively associated with burnout (.75, p=.02). The study not only confirms the association between burnout and self-reported individual and work-related adverse outcomes but, importantly, burnout-relevant neuroendocrine, inflammatory, and neuronal biomarkers. Nurses suffering from burnout might exhibit dysfunctional coping resulting in decreased recognition of low energy, which accelerates the burnout process. It is proposed that assessment of biological disease mechanisms should play a larger role in both scholarly and clinical burnout work.

neuroscience↗

Transcriptome profiling of type VI secretion system core gene tssM mutant of Xanthomonas perforans highlights regulators controlling diverse functions ranging from virulence to metabolism

Type VI secretion system (T6SS) is a versatile, contact dependent contractile nano-weapon in Gram-negative bacteria that fires proteinaceous effector molecules directly into prokaryotic and eukaryotic cells aiding in manipulation of the host and killing of competitors in complex niches. In plant pathogenic xanthomonads, T6SS has been demonstrated to play these diverse roles in individual pathosystems. However, the regulatory circuit involved in mediating biological functions carried out by T6SS are still elusive in Xanthomonas sp. To bridge this knowledge gap, we conducted an in vitro transcriptome screen using plant apoplast mimicking minimal medium, XVM2 medium, to decipher the effect of tssM deletion, a core gene belonging to T6SS-cluster i3*, on the regulation of gene expression in Xanthomonas perforans strain AL65. Transcriptomic data revealed that a total of 277 and 525 genes were upregulated, while 307 and 392 genes were downregulated in the mutant strain post 8 and 16 hours of growth in XVM2 medium. The transcript abundance of several genes associated with flagellum and pilus biogenesis as well as type III secretion system were downregulated in the mutant strain. Deletion of tssM of cluster-i3* resulted in upregulation of several T6SS genes belonging to cluster-i3*** and genes involved in biofilm and cell wall biogenesis. Similarly, transcription regulators like rpoN, Pho regulon, rpoE and csrA were identified to be upregulated in the mutant strain. Our results suggest that T6SS modulates the expression of global regulators like csrA, rpoN and pho regulons triggering a signaling cascade and co-ordinates the expression of suite of virulence factors, stress response genes and metabolic genes. ImportanceType VI secretion system (T6SS) has received attention due to its significance in mediating inter-organismal competition through contact-dependent release of effector molecules into prokaryotic and eukaryotic cells. Reverse-genetic studies targeting core genes of T6SS have indicated the role of T6SS in virulence in a variety of plant pathogenic bacteria, including Xanthomonas studied here. However, it is not clear whether such effect on virulence is merely because of a shift in the microbiome-mediated protection or if T6SS is involved in a complex regulatory network governing virulence in plant pathogens involving type III secretion system or c-di-GMP signaling pathways. In this study, we conducted in vitro transcriptome profiling in minimal medium to decipher the signaling pathways regulated by tssM-i3* in Xanthomonas perforans strain AL65. We show that TssM-i3* regulates the expression of a suite of genes associated with virulence and metabolism either directly or indirectly by altering the transcription of several regulators. These findings further expand our knowledge on the intricate molecular circuits regulated by T6SS in phytopathogenic bacteria.

microbiology↗

Cerebral malaria is regulated by host mediated changes in Plasmodium gene expression

Cerebral Malaria (CM), the deadliest complication of Plasmodium infection, is a complex and unpredictable disease. However, our understanding of the host and parasite factors that cause CM is limited. Using a mouse model of CM, experimental CM (ECM), we performed a three-way comparison between: ECM susceptible C57BL/6 mice infected with ECM-causing Plasmodium ANKA (Pb ANKA) parasites (ANKA(C57BL/6)); ECM resistant Balb/c mice infected with Pb ANKA (ANKA(Balb/c)); and C57BL/6 mice infected with Pb NK65 that does not cause ECM (NK65(C57BL/6)). All ANKA(C57BL/6) mice developed CM. In contrast in ANKA(Balb/c) and NK65(C57BL/6) infections do not result in CM and proceed similarly in terms of parasite growth, disease course and host immune response.. However, parasite gene expression in (ANKA(C57BL/6)) was remarkably different than in ANKA(Balb/c) but similar to the gene expression in NK65(C57BL/6). Thus, Pb ANKA has a ECM-specific gene expression profile that is only activated in susceptible hosts providing evidence that the host has a critical influence on the outcome of infection.

microbiology↗

The transcriptional legacy of developmental stochasticity

Genetic variation, epigenetic regulation and major environmental stimuli are key contributors to phenotypic variation, but the influence of minor perturbations or "noise" has been difficult to assess in mammals. In this work, we uncover one major axis of random variation with a large and permanent influence: developmental stochasticity. By assaying the transcriptome of wild monozygotic quadruplets of the nine-banded armadillo, we find that persistent changes occur early in development, and these give rise to clear transcriptional signatures which uniquely characterize individuals relative to siblings. Comparing these results to human twins, we find the transcriptional signatures which define individuals exhibit conserved co-expression, suggesting a substantial fraction of phenotypic and disease discordance within mammals arises from developmental stochasticity. One sentence summaryLongitudinal gene expression in identical armadillo quadruplets reveals a major role for developmental stochasticity.

genomics↗

Cell type-specific enhancer-promoter connectivity maps in the human brain and disease risk association

Unique cell type-specific patterns of activated enhancers can be leveraged to interpret non-coding genetic variation associated with complex traits and diseases such as neurological and psychiatric disorders. Here, we have defined active promoters and enhancers for major cell types of the human brain. Whereas psychiatric disorders were primarily associated with regulatory regions in neurons, idiopathic Alzheimers disease (AD) variants were largely confined to microglia enhancers. Interactome maps connecting GWAS variants in cell type-specific enhancers to gene promoters revealed an extended microglia gene network in AD. Deletion of a microglia-specific enhancer harboring AD-risk variants ablated BIN1 expression in microglia but not in neurons or astrocytes. These findings revise and expand the genes likely to be influenced by non-coding variants in AD and suggest the probable brain cell types in which they function.\n\nOne Sentence SummaryIdentification of cell type-specific regulatory elements in the human brain enables interpretation of non-coding GWAS risk variants.

neuroscience↗