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Global Burden of Disease analysis found that in 2023, suboptimal diet was estimated to be responsible for 4 million deaths and 97 million morbidity burdens from ischemic heart disease.

A large-scale study on the replicability of claims from social and behavioural science journals reports that about half of the results replicate in the same patterns as the original study.

Inclusion body myositis showed broad muscle metabolic abnormalities, and pioglitazone reversed elements of this signature. Clinical outcomes were unchanged with pioglitazone, but favorable metabolic responses were linked to slower functional decline.

IMiD-based PROTACs may degrade IKZF1/3 with hematologic effects. This study profiles these liabilities using hematopoietic assays showing stem cell rewiring and interferon activation and introduces a CRBN ligand that reduces them.

When 100 social and behavioural science claims were examined, 34% of reanalyses closely matched the original results, with 74% reaching the same conclusion, revealing limited robustness of single-path analyses and the need to address analytical uncertainty.

High-latitude soils are future soil organic carbon loss hotspots, with losses dominated by particulate organic carbon (POC). The fraction of POC in total SOC (f_POC) is a key indicator, emphasizing the climate importance of preserving POC.

Pancreatic ductal adenocarcinoma carries a poor prognosis, with pancreatectomy as the only potentially curative option. This Phase II trial assessed distant metastasis-free survival in locally advanced disease using GVAX vaccine, pembrolizumab, and SBRT following chemotherapy.

This study identifies extensive lateral interdigitations in the kidney’s ascending thin limb and demonstrates that Claudin-10b regulates both epithelial architecture and urine-concentrating function in this distinct nephron segment.

The interactions between the species formed during the capture and release cycle when using amino acid salts for carbon capture are poorly characterised. Here, the authors use neutron diffraction and structural refinement to reveal the changes in their structural features before and after CO₂ absorption, aiding their future design.

The authors have applied an eight-tissue rat multi-omic dataset to analyze the gene regulatory landscape of endurance exercise training, identifying tissue-specific regulatory patterns involved in muscle function, metabolism and immune response.

Divergent white matter metabolic patterns reveal a mechanistic basis for cognitive resilience and enhance prediction of future cognitive decline beyond established aging and dementia biomarkers.

A study of reproducibility in a stratified random sample of 600 papers published from 2009 to 2018 in 62 journals spanning the social and behavioural sciences finds higher reproducibility among more recent papers and papers from journals that require data sharing.

Motor enzymes that translocate DNA are an essential element of nanopore sequencing. Here, authors use mutual information to quantify the sequence-dependence of helicase kinetics and show that such kinetics can be used to improve the sequencing accuracy of all standard DNA bases.

Analyses of large-scale, multitaxa and long-term thermophilization patterns in forests, grasslands and alpine summits across Europe provide insight into shifts in community composition among different ecosystems in a warming world.

It remains unclear why some BRCA-deficient high-grade serous carcinomas (HGSC) do not respond to platinum-based therapy. Here, multi-omic analysis of BRCA1- and BRCA2-deficient HGSC attributes co-occurring mutations, DNA repair deficiency and tumor microenvironment features to short survival in these patients.

Tracking oceanic microbial populations in situ over time is challenging. Here, the authors use autonomous underwater vehicles to show how microbes at the deep chlorophyll maximum respond to diel cycles and isopycnal uplift by a cyclonic eddy.

Genome-wide analysis shows European dogs existed by 14,200 years ago, were already genetically distinct, received less Neolithic Southwest Asian admixture than humans did and contributed substantially to later European dogs.

Kelly et al. assessed an artificial intelligence system for breast cancer screening in retrospective datasets, followed by prospective feasibility evaluation, and report its accuracy, fairness and clinical implementation in multiple workflow settings.

Longitudinal metatranscriptomics in a prospective cohort of 1,164 adults hospitalized for COVID-19 reveals that azithromycin offered no apparent anti-inflammatory benefit but enriched the respiratory microbiome with potential pathogens and antimicrobial resistance genes.

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.

Over five years, implementation of the NHS England Lung Cancer Screening Programme achieved high early-stage detection rates and demonstrated that the programme is both feasible and scalable for reaching high-risk and underserved populations.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

The activity of the membrane-bound enzyme pMMO depends on copper but the location of the copper centers is still under debate. Here, the authors reconstitute pMMO in nanodiscs and use native top-down MS to localize its copper centers, providing insights into which sites are essential for activity.

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).

HORMAD1 expression is typically restricted to germline cells where it has an important role in meiotic recombination but has been shown to be upregulated in triple negative breast cancer (TNBC). Here, the authors report that aberrant HORMAD1 expression weakens the spindle assembly checkpoint, driving sensitivity to AURORA kinase inhibition.

The production of high-value chemicals can involve energy-intensive processes, necessitating sustainable production strategies. Here the authors present a circular bioeconomy approach, upcycling plastic waste through microbial conversion into levodopa, a medicine for Parkinson’s disease.

The first-in-human clinical trial of the LRRK2-targeting antisense oligonucleotide BIIB094 in Parkinson’s disease demonstrates that the treatment is well tolerated and produces dose-dependent reductions in cerebrospinal fluid levels of LRRK2 and phosphorylated Rab10, indicating successful target engagement.

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.

Warren et al. used data from a retrospective cohort of 50,000 women attending breast screening. Arbitration between human and AI decisions was performed in a reader study following normal arbitration workflow. After arbitration, replacing the second human reader with AI in a double-read breast screening workflow was noninferior to two human readers.

Radiation reaction (RR) on particles in strong fields is the subject of intense experimental research, but previous efforts lacked statistical significance due to the extreme regimes required. Here, the authors report a 5σ observation of RR and obtain strong, quantitative evidence favouring quantum models over classical, using an all-optical setup where electrons are accelerated by a laser in a gas jet before colliding with a second, intense pulse.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

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.

Estimating respiratory infection rates in the community is challenging as testing is usually limited to people with more severe infections. Here, the authors develop a statistical method to estimate infection rates using data from a community survey that performed lateral flow testing in England and Scotland in 2023-24.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Evo 2 is an artificial intelligence-based biological foundation model trained on 9 trillion DNA base pairs spanning all domains of life that predicts functional properties from genomic sequences and provides a rich generative model for researchers in biology.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

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.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Improved red and green indicators for norepinephrine and their characterization are reported. These indicators allow detection of norepinephrine release in awake behaving mice in dual-color fiber photometry and two-photon imaging applications.

There is a need for an easy-to-use clinical tool, that could predict favorable early PSA response and subsequently enhance early risk stratification, as well as guide treatment planning. Here, the authors show that based on patient data from four phase III randomized trials, Nadir androgen receptor pathway inhibitor (APRI)- Derived Integrative Response (NADIR) model predicts favorable early PSA response to ≤0.2 ng/mL by 6 months in metastatic hormone sensitive prostate cancer (mHSPC) patients initiating treatment with an APRI.