Search

Neonatal sepsis caused by Escherichia coli is associated with reduced transfer of pathogen-specific maternal antibodies and, in a mouse model, can be prevented by maternal preconceptual colonization with probiotic E. coli.

Acute rheumatic fever (ARF) is a serious sequela of Strep A infection, for which a diagnostic biomarker is still lacking. Here, the authors demonstrate that CXCR3 directs T cells to heart valves in patients with ARF, linking inflammation to tissue damage.

Robustness checks and reproduction of analyses with existing and updated data based on 110 articles in economics and political science journals with data and code-sharing requirements found high levels of robustness and reproducibility and determined that robustness was not dependent on author characteristics or data availability.

How the brain supports speaking and listening during conversation of its natural form remains poorly understood. Here, by combining intracranial EEG recordings with Natural Language Processing, the authors show broadly distributed frontotemporal neural signals that encode context-dependent linguistic information during both speaking and listening..

In mice, a circuit between the spinal cord and various regions of the brain, centring on spinal-cord-projecting neurons in the rostral ventromedial medulla, has a key role in driving chronic pain.

The authors use data on the entire Finnish population to develop a machine learning model for predicting COVID-19 vaccination uptake. Important predictors are proxies of socio-economic status, and those at high risk for COVID-19 consequences are less likely to get vaccinated.

The microtubule–kinesin system is a well-known active matter system. Now it is shown that a microtubule-based active fluid can assemble adhesive non-thermal fibres into a membrane-like structure.

Mice learning a neurofeedback brain–computer interface task show neuron-specific teaching signals in cortical dendrites, consistent with a vectorized solution for credit assignment in the brain.

Many GPCRs signal from endosomes, which requires active G proteins at this location. Here, the authors describe how active Gα_s accumulates on endosomes and reveal location-biased selectivity in GPCR-mediated G protein activation.

Cue-evoked striatal dopamine release in mice encodes bidirectional trajectory errors, spatially and temporally separated from value coding, reflecting the relationship between the speed and direction of ongoing movement relative to optimal goal trajectories.

Results of the phase 2 POLAR trial show that biomarker-guided treatment in patients with metastatic pancreatic cancer based on homologous repair deficiency leads to encouraging clinical response rates in immune cell-infiltrated tumors.

Here, Wulczynski et al. find fewer small-intestinal fiber-degrading bacteria in CeD patients, independent of the gluten-free diet, while inulin-supplemented diet in gluten-sensitized mice facilitates microbial saccharolytic function and SCFAs, accelerating mucosal healing in the small intestine.

A machine-learning model that integrates data from wearable devices (such as smartwatches) with blood biomarkers and demographic data can predict whether someone has insulin resistance, enabling timely lifestyle interventions to prevent progression to type 2 diabetes.

Analysis of the somatic and transcriptomic profile of 123 acral melanoma samples from Mexican patients helps understand tumour origins and prognosis, and highlights the importance of including samples from diverse ancestries in cancer genomics studies.

The spread of non-native species is likely to be compounded by further climate change and land-use intensification. Here the authors assess the potential distribution of 9,701 naturalized non-native plant species at a 10 × 10-km grid resolution and project shifts under two Shared Socioeconomic Pathways.

Donahue et al. show that ageing is associated with changes in ER morphology. ER-phagy drives age-associated ER remodelling through tissue-specific factors.

This study describes the integrative analysis of 111 reference human epigenomes, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression; the results annotate candidate regulatory elements in diverse tissues and cell types, their candidate regulators, and the set of human traits for which they show genetic variant enrichment, providing a resource for interpreting the molecular basis of human disease.

Pouget et al. identified distinct CA1 neuron ensembles active during specific moments of fear learning and uncovered the core engram essential for memory formation.

This study shows that TE, an inferotemporal (IT) cortex subregion, displays stronger neural plasticity than TEO, another IT subregion, during learning of a challenging visual categorization task in primates, to which both areas contribute.

How the complex interplay between multiple nutrients within the microenvironment dictates potential sites of metastatic cancer growth is explored.

Compiling data on floral introductions and European colonial history of regions worldwide, the authors find that compositional similarity of floras is higher than expected among regions once occupied by the same empire and similarity increases with the length of time the region was occupied by that empire.

DNA methylation heterogeneity and dynamics hinder distinguishing early pathological changes from normal variation. Here, the authors identify stable sites whose disruption is linked to blood cancers, aging, and cardiovascular risk.

Hepatic glycogenolysis is essential for protein glycosylation and rhythmic secretion by the liver. Disruptions to hepatic glycogenolysis, caused by congenital diseases or physiological factors such as obesity, caloric restriction and changes to meal timing, alter hepatic protein secretion.

Analysis of a placebo-controlled trial of a BCMA-targeting CAR-T cell therapy in patients with myasthenia gravis shows that CAR-T cell infusion selectively remodels the systemic immune environment, with elimination of BCMA-high plasma cells and activated plasmacytoid dendritic cells and changes in the autoreactive B cell repertoire.

CRISPR activators are powerful tools for controlling gene expression, but they suffer from inconsistent efficacy and high toxicity. Here, authors develop a high-throughput method to test thousands of CRISPR activators, revealing distinct principles of activator biology and delivering improved tools.

Current single-cell RNA sequencing methods struggle to comprehensively profile transcriptomes, with many lowly expressed transcripts remaining undetected. Here authors present a workflow for enhancing the detection of both transcripts and regions of interest in combination with a standard transcriptome profile.

The MOUNTAINEER phase 2 trial demonstrated the efficacy and safety of tucatinib (HER2-targeted TKI) and trastuzumab (anti-HER2 antibody) in patients with HER2 + , RAS wildtype unresectable or metastatic colorectal cancer that had progressed on chemotherapy, resulting in the approval of the regimen. Here, the authors report the updated analysis of the MOUNTAINEER trial.

Schwannomas are regularly treated with radiotherapy, but the molecular effects on these tumours and their microenvironment remain unclear. Here, the authors show that radiotherapy can induce epigenetic reprogramming and immune infiltration in schwannomas, and develop the snARC-seq approach to analyse the epigenomic evolution at the single-cell level.

A consensus cell type atlas for the fly brain provides both an intellectual framework and open-source toolchains for brain-scale comparative connectomics.

Repeated rapid structural MRI scans substantially improve the precision of individual differences in brain change. This allowed for individualized insight into subtle differences in the detected rates of brain aging and neurodegeneration to be detected.

Kornfeld-Sylla et al reveal how alpha brainwaves are altered in children and adults with Fragile X Syndrome (FXS) and find parallel changes in alpha-like rhythms in juvenile and adult FXS model mice, showing their use for testing potential therapies.

Mapping of neurogenesis in human hippocampi across ages and different cognitive abilities using multiomic single-cell sequencing reveals distinct signatures between cognitive preservation and decline.

The substantia nigra and all Parkinson’s disease deep-brain stimulation targets are selectively connected to the somato-cognitive action network rather than to effector-specific motor regions.

Skin prick testing for allergy diagnosis is limited by variability due to differences in test setting and operator expertise. Here, the authors develop and validate an AI-assisted readout method for reading allergy skin test results, and find that integrating AI enhances standardization throughout the skin prick testing process.

Pilcher et al. present a single-cell transcriptomics-based immune atlas of participants with newly diagnosed multiple myeloma, reporting on the association of cell types, gene expression and intercellular interactions with disease progression phenotypes.

Genome-wide association studies incorporating data for populations of African ancestry provide an expanded view of the genetic basis of schizophrenia, which has previously been studied mainly in European and East Asian cohorts.

A genetic study in over 300,000 males reveals that Y chromosome loss affects type 2 diabetes risk differently in East Asians and Europeans. Multi-omics data suggest that this may be due to impaired glucose metabolism in Y-deficient pancreatic β cells.

Genomic analysis of 118 cervical tumors from Ugandan individuals identifies HPV-clade-specific differences in tumor DNA methylation, regulatory-region-associated histone marks, gene expression and pathway dysregulation.

Stratified medicine promises to tailor treatment for individual patients, however it remains a major challenge to leverage genetic risk data to aid patient stratification. Here the authors introduce an approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue-specific gene expression levels, and highlight its ability to identify biologically meaningful and clinically actionable patient subgroups, supporting the notion of different patient ‘biotypes’ characterized by partially distinct disease mechanisms.

Here the authors combine clinical and metabolomics data to identify distinct metabotypes of pediatric metabolic dysfunction-associated steatotic liver disease (MASLD). The results provide information regarding heterogeneity of MASLD presentation, but require validation in independent cohorts.

Climate change can alter when and how animals grow, breed, and migrate, but it is unclear whether this allows populations to persist. This global study shows that shifts in seasonal timing are key to helping vertebrate species maintain population growth under global warming.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Glioblastoma is characterised by high levels of intratumoural heterogeneity and plasticity, hindering treatment. Here, the authors develop an analytical framework, scFOCAL, to predict the sensitivity of glioblastoma cell subpopulations to therapies based on reversal of disease transcriptional signatures to identify synergistic therapeutic combinations.

Deconvolution methods reveal individual cell types in complex tissues profiled by bulk methods. Here the authors present a Bayesian deconvolution method that outperforms existing methods when benchmarked on >700 datasets, especially in estimating cell-type-specific gene expression profiles.

Meningiomas are common brain tumors with variable behavior. This study reveals high STING expression across multiple cell types in the meningioma microenvironment. STING agonism triggers tumor cell death via programmed necrosis and pyroptosis, enhancing survival in preclinical models.

This study addresses opioid misuse prediction by integrating physiological data and electronic health records. Utilizing personalized deep-learning models, it achieves a high accuracy in risk assessment through entropy feature extraction and relevance-based temporal fusion, demonstrating effective intervention potential.

Chronic Kidney Disease affects 1 in 10 people worldwide with prevalence continuing to rise, thus there is a need to identify novel biomarkers that can add value to existing clinical and biochemical risk predictors. Here the authors identify miR190a-5p as potential indicator of kidney health and disease progression in patients with chronic kidney disease.

Koh, Ma et al. show that during climbing, mouse motor cortex instructs limb muscle activity patterns primarily by selectively activating certain muscles at certain activity states, via neural activity patterns distinct from those previously described.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Provencio and colleagues reported the exploratory efficacy outcomes and safety results from the CheckMate 77T phase 3 trial in patients with stage III resectable non-small-cell lung cancer.