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This study explores the role of protein hyperacetylation in heart failure with preserved ejection fraction (HFpEF). It identifies Dlat as a key regulator of mitochondrial fatty acid oxidation, offering insights for clinical HFpEF interventions.

Analysis of FeTe films grown using molecular-beam epitaxy and annealed under a Te flux post-growth shows that stoichiometric FeTe is inherently a superconductor, contradicting the long-held view that it is an antiferromagnetic metal.

Single-variant and ultrarare variant burden analyses leveraging exome sequencing data from 22 cohorts identify new risk genes for amyotrophic lateral sclerosis and show cumulative effects of several rare variants on disease risk.

Here the authors reveal a study of 486,956 Han Chinese individuals showing that most people with genetic variants affecting drug response do not have the predicted adverse events, highlighting the challenges of implementing pharmacogenetics in clinical practice.

The Taiwan Precision Medicine Initiative (TPMI) has built a cohort of more than half a million individuals with Han Chinese ancestry, providing a rich resource of genetic and medical data for this group.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

The high-plasticity cell state (HPCS) is a critical hub that enables reciprocal transitions between cancer cell states, and targeting the HPCS may suppress cancer progression and eradicate treatment resistance.

Zhang et al. show that the brain of newborn infants can rapidly tune to discriminate phonemes.

The Taiwan Precision Medicine Initiative recruited and genotyped more than half a million Taiwanese participants, almost all of Han Chinese ancestry, and performed comprehensive genomic analyses and developed polygenic risk score prediction models for numerous health conditions.

This study highlights the Wheat Spatial Omics Consortium, which aims to build a spatiotemporal single-cell atlas of wheat in response to different treatments, thereby contributing to the development of sustainable and climate-resilient wheat.

Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

The electron-phonon coupling in organic semiconductors is key to improving performance for devices. Here, the authors show that modulating the penetrated donor-acceptor interface with low electron-phonon coupling, reduces non-radiative voltage loss for high-performance organic solar cell devices.

DNA recognition and cleavage control in type II topoisomerases are poorly understood processes. Here, the authors determine cleaved and uncleaved structures of supercoiled DNA-bound topoisomerase VI that reveal how the enzyme activates its cleavage state and prefers to act at deformable substrates.

An analysis of 18 metagenomic datasets of individuals with colorectal cancer, adenomas and healthy controls yields improved cancer prediction accuracy based solely on gut metagenomics, as well as the identification of new species associated with the development of cancer.

The development of sustainable water oxidation catalysts is crucial for hydrogen production, yet cobalt-based materials often suffer from instability. Here, the authors report that co-doping LiCoO₂ with nickel, iron, and palladium yields a durable electrode with stability of over 2,000 hours.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

An intracellular protein-based recorder called CytoTape is capable of tracking cell activities over weeks and at scale.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

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.

In a large multinational cohort study, maternal, gestational or pregestational diabetes was associated with only a small-to-moderate risk of ADHD in offspring, contrary to previous estimates that showed stronger effect sizes, attributing the differences in findings to confounding by shared genetic and familial factors.

Trained and validated on multimodal data from 14.5 million images from multicountry datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients.

Here, by performing an integrative multi-omics analysis coupled to clinical features of COVID-19 patients prospectively followed for up to 6 month, the authors identify specific gut microbiome patterns associated with disease severity and development of post-acute COVID-19 syndrome.

Valleytronics leverages the valley degree of freedom to engineer light-matter interaction. Here, the authors demonstrate a room temperature, bias-free valley effect in bulk SnS by means of spectroscopic measurements, previously unattainable using atomically thin transition metal dichalcogenides.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

Single-cell transcriptomic analyses of Plasmodium falciparum and Anopheles gambiae reveal key developmental stages, processes and factors in parasite–mosquito interactions and identify potential targets for blocking malaria transmission.

Nasal colonization by Staphylococcus aureus is linked with depression in a human cohort and shown in a mouse model to cause decreased serotonin and dopamine in the brain.

Here the authors report that some aspects of clinical heterogeneity in type 2 diabetes vary across populations. Using a deep-learning–based tree model built from over 32,000 patients, they document disease patterns and risks specific for the Chinese population, potentially enabling more precise prediction and personalized care.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

C. elegans has lost DNA methylation and the methyl-binding domain in MBD-2 reader. The authors show that Cel-MBD-2 is a conserved NuRD component. Cel-MBD-2 can either localize to open chromatin with NuRD, or to repressive histone marks without NuRD.

With rich, multi-layered baseline data and long-term follow-up through linkage, the HELIOS Study provides a resource to investigate the behavioural, environmental, genomic, and molecular factors impacting health in Asian populations.

Few studies have evaluated how climate change may affect dietary habits and nutritional health. Here, using transaction data in the USA, the authors show that added sugar consumption increases with temperature, especially between 12 °C and 30 °C, with stronger effects among lower-income and lower-education groups.

Viruses rely on host cell metabolism for replication, making these pathways potential therapeutic targets. Here, the authors show that AM580, a retinoid derivative and RAR-α agonist, affects replication of several RNA viruses by interfering with the activity of SREBP.

Cross-coupling reactions between aryl halides and alcohols using copper are challenging due to the energetically demanding oxidative addition of copper into aryl halides. Now, this high-barrier step is bypassed using an energy transfer or direct excitation strategy for copper-mediated cross-coupling reactions. This process enables the use of aryl chlorides as electrophiles and alcohols, amines and fluoride as nucleophilic coupling partners.

Single-cell RNA sequencing and assay for transposase-accessible chromatin using sequencing profiling of human retinal samples from diverse ancestries create an epitranscriptomic atlas characterizing over 130 cell types. Integration with genome-wide association study and expression quantitative trait loci data provides further insights into gene regulation and disease etiology.

Pressure overload in the heart, such as from aortic stenosis, triggers early molecular changes before visible damage occurs. Here, the authors show that combining proteomics, transcriptomics, and genetic data reveals key drivers of heart failure, highlighting potential targets for treatment.

Language is often thought to be represented through hierarchically structured units. Nielsen and Christiansen find that non-hierarchical structures are present across reaction-time tasks, eye-tracked reading and natural conversation.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

The anti-leprosy drug clofazimine inhibits coronavirus replication in several cell models and shows potent antiviral activity against SARS-CoV-2 infection in a hamster model, particularly when used in combination with remdesivir.

AI copilots are integrated into brain–computer interfaces, enabling a paralysed participant to achieve improved control of computer cursors and robotic arms. This shared autonomy approach offers a promising path to increase BCI performance and clinical viability.

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.

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.

Quantum anomalous Hall junctions show great promise for advancing next-generation electronic circuits. Here, the authors demonstrate a scalable method for synthesizing heterostructures of magnetic topological insulators with regions of distinct Chern numbers and characterize the chiral interface modes that emerge at the interface.

It is uncertain how much life expectancy of the Chinese population would improve under current and greater policy targets on lifestyle-based risk factors for chronic diseases and mortality behaviours. Here we report a simulation of how improvements in four risk factors, namely smoking, alcohol use, physical activity and diet, could affect mortality. We show that in the ideal scenario, that is, all people who currently smokers quit smoking, excessive alcohol userswas reduced to moderate intake, people under 65 increased moderate physical activity by one hour and those aged 65 and older increased by half an hour per day, and all participants ate 200 g more fresh fruits and 50 g more fish/seafood per day, life expectancy at age 30 would increase by 4.83 and 5.39 years for men and women, respectively. In a more moderate risk reduction scenario referred to as the practical scenario, where improvements in each lifestyle factor were approximately halved, the gains in life expectancy at age 30 could be half those of the ideal scenario. However, the validity of these estimates in practise may be influenced by population-wide adherence to lifestyle recommendations. Our findings suggest that the current policy targets set by the Healthy China Initiative could be adjusted dynamically, and a greater increase in life expectancy would be achieved.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

This study integrates a nitrite-adsorbing ionophore into a copper/carbon nanotube electrified membrane, enabling ultrafast and highly selective ammonia production from low-concentration nitrate in real water sources. This cooperative adsorption approach tunes the local catalyst environment to achieve high activity, selectivity and stability without using precious metals or complex synthesis methods.

The germline is established during embryogenesis when primordial germ cells are first specified. Here they show that the RNA-binding proteins DND1 and NANOS3 function together to repress the translation of SOX4, restricting the germ cell lineage specification during embryonic development.