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Global analysis of obesity trends from 1980 to 2024 in 200 countries and territories using data from 4,050 population-based studies reveals that framing obesity as a single global epidemic masks the highly varied dynamics across countries and age groups.

Here they assemble a cross-species single-cell transcriptomic atlas of mammalian placentas and show that trophoblast diversification underlies placental evolution, while identifying TGIF1 as a regulator associated with preeclampsia and pregnancy loss.

In the hippocampus, complex processing of sensory stimuli occurs even in the unconscious state.

The CMS experiment at CERN reports one of the highest-precision measurements of the W boson mass, finding it in line with standard model predictions and at odds with recent anomalous measurements.

LHAASO has detected γ-ray emission with a spectrum extending to 2 PeV from the pulsar wind nebula (PWN) powered by PSR J1849-0001, indicating an extreme particle acceleration efficiency and challenging the current particle acceleration theories.

The authors resolve 63 structurally diverse haplotype structures for the 22q11.2 deletion syndrome region. Deletion risk differs depending on structure; individuals of African ancestry are enriched for inverted repeats that predispose to inversion.

A high-resolution spectroscopic analysis reveals ultralow amounts of heavy elements in the star SDSS J0715−7334. The star originates from the Large Magellanic Cloud and probably formed directly after the first stars through dust cooling.

Advancements in sequencing technologies and assemblers have enabled us to generate a complete, haplotype-resolved X chromosome in cattle. This study discovers the cattle X centromere is a natural neocentromere and characterises its genetic and epigenetic structure.

The authors from the ALICE collaboration identify multiple species of mesons and baryons and measure the anisotropic flow with non-flow removal techniques in pp and p-Pb collisions at the LHC, identifying the hallmark of quark flow associated with an expanding quark-gluon plasma.

The CMS Collaboration reports the measurement of the spin, parity, and charge conjugation properties of all-charm tetraquarks, exotic fleeting particles formed in proton–proton collisions at the Large Hadron Collider.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

Predicting antimicrobial resistance from bacterial genomic data is challenging. Here, the authors introduce AMR-GNN, a graph neural network that integrates multiple genomic representations to improve prediction, reduce clonal bias, and identify biomarkers.

Efficient low temperature oxygen activation is essential but hard to achieve with accessible metal sites. This work shows that zero-valent single Pt atoms on cobalt oxide donate electrons to oxygen, enabling low-temperature toluene oxidation.

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 priming effect (PE) predicts soil carbon across croplands. Using soils from European long-term experiments, we show that low-intensity management enhances PE, whereas intensive fertilization and tillage reduce it.

Osteoarthritis is driven by epigenetic dysregulation, yet targeted therapies remain elusive. Here, the authors develop a cartilage-targeting hydrogel delivering BRD4-degrading PROTACs to suppress the BRD4- Nav1.7 axis and alleviate osteoarthritis.

The role of lipid metabolism in Parkinson's disease is poorly understood. Here, Ren and co-authors identify a key enzyme in this process, mitochondrial glycerol 3-phosphate acyltransferase, as a critical driver of α-synuclein toxicity.

The study of isotopes away from the beta stability valley is crucial for the understanding of nuclear structure, especially for neutron-deficient heavy nuclei. Here, the authors report the observation of the alpha-decay isotope 210-protactinium (Pa), extending the alpha-decay systematics of underexplored regions of the nuclides chart.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

It is unclear whether the harsh abiotic conditions of drylands hinder biological invasions. This global analysis shows that drylands are vulnerable to non-native plants and are likely to become more so as native plant diversity declines and grazing pressure intensifies.

Currently, there is limited knowledge about the spatial heterogeneity of glioma-driving molecular events. Here, the authors employ a multiomics approach to characterize the spatial transcriptomic heterogeneity of various types of gliomas and identify spatially distinct tumor subclones with genomic plasticity driven by mutations on extrachromosomal DNA.

Structured light has proven useful for numerous photonic applications. However, its current use in optical fibers is severely limited. The authors report a highly integrated metafiber platform based on 3D laser nanoprinting, capable of creating arbitrarily structured light.

A new artificial intelligence model, DeepSeek-R1, is introduced, demonstrating that the reasoning abilities of large language models can be incentivized through pure reinforcement learning, removing the need for human-annotated demonstrations.

Using 63 globally distributed grassland and shrubland sites from the International Drought Experiment, this study identified plant traits linked to drought resistance after 1 year of extreme drought across growth forms, lifespans and climate.

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.

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.

The ALICE Collaboration provides details on the microscopic mechanism that ends up creating antideuteron in high-energy proton–proton collisions at the Large Hadron Collider.

The black-box nature of neural networks is a concern for high-stakes medical applications in which decisions must be based on medically relevant features. The authors develop an interpretable machine learning-based framework that aims to follow the reasoning processes of radiologists in providing predictions for cancer diagnosis in mammography.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Somatic mutations accumulate with age and have been linked to functional decline and disease. Single-cell analysis of human cartilage samples from donors with and without osteoarthritis shows that somatic mutations accumulate with age, but, in osteoarthritis, they show distinct mutational patterns and slower accumulation, possibly due to DNA-damage-induced chondrocyte death.

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.

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.

Coagulase-negative staphylococci secrete natural products that prevent pathogen colonization. Here, the authors identify hominicin, a daptide bacteriocin produced by Staphylococcus hominis that has antimicrobial activity against a skin pathogen.

Recent advances in multi-condition single-cell multi-cohort studies enable exploration of diverse cell states. Here, authors present scMerge2, an algorithm that allows integration of a large COVID-19 data collection with over five million cells to uncover distinct signatures of disease progression.

In this Perspective, members of the Aging Biomarker Consortium outline the X-Age Project, an Aging Biomarker Consortium plan for building standardized aging clocks in China. The authors discuss the project roadmap and its aims of decoding aging heterogeneity, detecting accelerated aging early and evaluating geroprotective interventions.

Hiʻiaka is the largest moon of the distant dwarf planet Haumea. Here, the authors report the first multi-chord stellar occultations of Hiʻiaka, revealing its size, shape, and density, suggesting an origin from Haumea’s icy mantle.

Investigating the inner structure of baryons is important to further our understanding of the strong interaction. Here, the BESIII Collaboration extracts the absolute value of the ratio of the electric to magnetic form factors and its relative phase for e + e − → J/ψ → ΛΣ decays, enhancing the signal thanks to the vacuum polarisation effect at the J/ψ peak.

Genome-wide association studies (GWAS) have improved our understanding of the genetic basis of lung adenocarcinoma but known susceptibility variants explain only a small fraction of the familial risk. Here, the authors perform a two-stage GWAS and report 12 novel genetic loci associated with lung adenocarcinoma in East Asians.

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.

While Bell inequalities have been violated several times—mostly in photonic systems—their violations within particle physics experiments are less explored. Here, the BESIII Collaboration showcases Bell-violating nonlocal correlations between entangled hyperon pairs.

A scanning tunnelling microscopy study of monolayer FeSe on strontium titanate reveals that this intriguing system has a plain s-wave pairing symmetry.

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.

The semileptonic decay channels of the Λc baryon can give important insights into weak interaction, but decay into a neutron, positron and electron neutrino has not been reported so far, due to difficulties in the final products’ identification. Here, the BESIII Collaboration reports its observation in e+e- collision data, exploiting machine-learning-based identification techniques.

Lead halide perovskite quantum dots (PQDs) promise applications in optoelectronics but are limited by sensitivity to wet environments. Here the authors develop a Pb-S bonding approach to synthesize PQDs@silica nanodots that are capable of emitting and lasing in aqueous environments for long periods.

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.