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In a prospective study enrolling 1,222 patients from 22 emergency departments, a device using a machine-learning-based signature of blood mRNAs demonstrated clinically acceptable performance to diagnose bacterial and viral infections and to predict the all-cause need for critical care interventions within 7 days, with benchmark to established biomarkers and risk scores.

Tobin et al. present a model for forecasting COVID-19 ward and intensive care unit (ICU) bed occupancy in Australia, using independently produced case incidence forecasts as input. Evaluating 21-day forecasts produced between March to September 2022, performance varied with jurisdiction and epidemiological context.

An in-depth microbiological and metagenomic analysis of Colombian farm and fermentation facilities resulted in the design of a defined microbial community that can reproduce the flavour of fine chocolate.

Using data from the CoVPN 3008 study, the authors show that the neutralizing antibody correlate of risk holds in people living with HIV. However, the nAb correlate was weaker and shorter-lived in a vaccine-immunity versus hybrid-immunity population.

In an integrated analysis of transcriptomic data from the SUBSPACE consortium and public datasets of patients with sepsis, acute respiratory distress syndrome, trauma and burns, dysregulation within four consensus molecular clusters related to myeloid and lymphoid cells is associated with mortality and illness severity.

Carbapenemase-producing Enterobacterales cause healthcare-associated infections but modes of transmission are not well understood. Here, the authors find evidence of transmission without direct patient contact, indicating presence of undetected environmental reservoirs, whilst half of the transmission events are likely due to plasmid-mediated transmission.

LARGE1 glycosyltransferase synthesizes matriglycan (xylose-glucuronate)_n on dystroglycan, and short matriglycan can cause neuromuscular disorders. Authors show that LARGE1 processively polymerizes matriglycan of defined length on prodystroglycan.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

Available wheat genomes are annotated by projecting Chinese Spring gene models across the new assemblies. Here, the authors generate de novo gene annotations for the 9 wheat genomes, identify core and dispensable transcriptome, and reveal conservation and divergence of gene expression balance across homoeologous subgenomes.

The emergence of resistant subpopulations often underlies the development of resistance to cancer therapy. Here, using a DNA barcoding approach, the authors demonstrate EGFR TKI treatment in non-small cell lung cancer enriches for resistant subpopulation which can be prevented by treatment with the multikinase inhibitor sorafenib via inhibition of MKNK, STAT3 and MCL1.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Here, the authors describe scDEEP-mC, an improved single-cell whole-genome bisulfite sequencing method for complex libraries and deep genomic coverage, and show advanced analyses of allele-specific methylation, replication dynamics, and X-inactivation.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Here, the authors sample air and surfaces in hospital rooms of COVID-19 patients, detect SARS-CoV-2 RNA in air samples of two of three tested airborne infection isolation rooms, and find surface contamination in 66.7% of tested rooms during the first week of illness and 20% beyond the first week of illness.

Isolates and metagenome-assembled genomes from a global survey show quasi-endemic and cosmopolitan lineages of SAR11-IIIb, with patterns driven by temperature and latitude.

SARS-CoV-2 has resulted in multiple outbreaks in hospitals, but identifying transmission events is challenging. Here, the authors combine whole genome sequencing and epidemiological data from the first two waves of the pandemic at a UK hospital trust and characterise transmission chains.

An analysis of data from the Sherlock-Lung study provides insight into the mutational processes that contribute to lung cancer in never smokers, and looks at the possible role of factors such as air pollution and passive smoking.

CRISPR-Cas9-based screens have allowed the study of gene-drug interactions. Here, the authors develop CRISPR-Cas9 knock-out, activation and repression screens in human gastric 3D organoids, also integrating single-cell CRISPR screens, to identify genes involved in the response to cisplatin in gastric cancer.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

Neuroinflammation is understudied in Parkinson’s disease (PD). Ma et al. found that clonally expanded CD8 + T cells accumulate in the brains of PD patients and interact with specific astrocytic support cells, which may fuel harmful neuroinflammation.

A COVID vaccine developer, an Arctic voyager and a prime minister are some of the people behind the year’s big research stories.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

The authors highlight inconsistencies and divergencies in the literature reporting data on indirect calorimetry for studies on whole-body energy homeostasis, and propose harmonization of standards to facilitate data comparison and interpretation across different datasets.

Mass spectrometry-based lipidomics and metabolomics generate large, complex datasets requiring effective analysis. Here, authors review key statistical and visualization methods alongside widely used R and Python tools, and provide a GitBook with step-by-step code for accessible, reproducible data analysis.

A large-scale multi-omics analysis reports oncogenic alterations that drive medulloblastoma progression, rather than initiation, and the findings show how single-cell technologies can be used for early detection and diagnosis of medulloblastoma.

A longitudinal genomic surveillance of Enterococcus faecium carriage, environmental contamination and transmission in a defined patient cohort shows that a hospital-adapted E. faecium lineage was hyperendemic.

Two phase 2 trials, along with translational analysis of prospective cohorts and experimental analysis, indicate that immunosenescence as a mechanism of resistance to immunotherapy can be overcome with the senolytics dasatinib and quercetin in patients with head and neck squamous cell carcinoma.

The authors develop and characterise a selective Greatwall inhibitor, C-604, and show that its cytotoxicity stems from PP2A-B55α hyperactivation. They identify B55α and Greatwall levels as biomarkers of responses to Greatwall-targeted therapy.

Here the authors dissect the developmental and functional relationship between tumor-responsive cytotoxic T cells in the tumor versus the tumor-draining lymph nodes (tdLNs), finding that stem-like T_PEX cells dependent on MYB in the tdLNs are required for CD8⁺ T cell tumor infiltration and ICB responses.

A subset of pediatric gliomas harbour alterations in fibroblast growth factor receptor (FGFR)-family proteins. Here, the authors characterise the genomic landscape of 11,635 gliomas across ages and use isogenic model systems to explore the underlying biology of FGFR1-altered gliomas and potential therapeutic vulnerabilities.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Analysis of snRNA genes in individuals with rare disorders identifies de novo and recurrent variants in RNU5B-1 and RNU5A-1, in addition to previously unreported cases with pathogenic or likely pathogenic variants in RNU4-2.

Sarcoma is a highly heterogeneous disease, which can be caused by a large variety of mutations. Here, the authors utilise multi-omics to characterise a cohort of 1,340 sarcoma tissue specimens to identify key somatic mutations and identify immune subtypes.

Neural circuit mechanisms underlying feeding behavior regulation are not fully understood. Here authors provide quantitative mapping of the brain-wide input and output configuration of tuberal nucleus somatostatin neurons, a key player of feeding regulation, in mouse brain for a deeper understanding of the feeding regulation network.

A multimodal atlas of retinal organoid development shows spatial interactions over time.

Solid organ transplant recipients are at increased risk of infectious disease and have unique molecular pathophysiology. Here the authors use host-microbe profiling to assess SARS-CoV-2 infection and immunity in solid organ transplant recipients, showing enhanced viral abundance, impaired clearance, and increased expression of innate immunity genes.

Here, the authors developed a plasma cell-free RNA test for early PDAC detection in high-risk and symptomatic patients.

Wells et al. profile RNA and surface protein expression to describe dominant tissue-specific effects on immune cell composition and function across lineages in the human tissues across age.

Whole-genome sequencing of more than 2,000 colorectal carcinoma samples provides a highly detailed view of the genomic landscape of this cancer and identifies new driver mutations.

The immune response to SARS-CoV-2 infection is variable but has been linked to prognosis and the development of severe immunopathology. Here the authors assess a range of immune parameters in both peripheral blood and respiratory samples, providing a comparative assessment of the immune response between these compartments and their potential impact on immune-pathogenesis.