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The growth of Li dendrites and the accumulation of dead Li significantly undermine the safety and performance of Li metal batteries. Here, authors introduce the concept of “catalytic” effect for dead Li reconversion, leading to a Li plating/stripping efficiency of 99.89%.

The authors realize high dielectric energy storage properties at high temperatures in the polymer nanocomposites via the combined approach of adding high-entropy ferroelectric nanofillers and constructing a bilayer structure.

Coffee has been associated with reduced colorectal cancer incidence. Here, the authors show that caffeine inhibits the kynurenine pathway, boosting CD8⁺ T-cell immunogenic activity, which impairs colorectal cancer progression and enhances immunotherapy response.

A reinforcement learning-based virtual reality system, implementing a series of sport sessions with coaching, was as effective as standard physical activity in reducing fat mass in adolescents, with positive effects on cognition.

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 versatile nano-adaptor is used to construct multi-specific nano-antibodies for treatment of tumours in mice.

Study shows PTSD predisposition shares distinct genes and genomic regions with several cardiovascular conditions. Here the findings reveal neuronal, immune, and metabolic pathways, and repurposed drug targets that further the understanding of the comorbidity.

The zoonotic parasite Toxoplasma has complex developmental programs to accommodate different lifestyles that are important for parasite transmission and pathogenesis. Here, the authors discover a novel chromatin remodeling complex containing SNF2L in Toxoplasma and report its crucial roles in regulating the parasite’s developmental programs.

This study presents an ultradeep analysis of the N-glycoproteome in mouse tissues, establishing the largest dataset to date. The resource enhances AI models for glycopeptide prediction, provides insights into tissue-specific glycosylation patterns, and reveals distinct pathological signatures in neurodegenerative diseases. To facilitate access to mouse and human N-glycoproteome, the authors establish a comprehensive database resource N-GlycoMiner.

The role of vascular plasticity in brain function remains poorly understood. Here, the authors demonstrate that a significant portion of blood vessels in the adult brain periodically occlude and regress, a process that is associated with a reduction in neuronal activity.

DeepRETStroke is a deep learning system using retinal photographs to detect silent brain infarction and predict future stroke events.

The Somatic Mosaicism across Human Tissues Network aims to create a reference catalogue of somatic mosaicism across different tissues and cells within individuals.

Two types of amyloid-β protein (1–42) (Aβ₄₂) fibrils are known to form in the insoluble fraction of diseased human brains. Now, another type of Aβ₄₂ fibril (type III) has been identified in the soluble fraction of Alzheimer’s disease brain using cryo-electron microscopy. These studies also reveal differences in ligand–fibril interactions between fibril types.

The role of Leflunomide in αPD1-induced cardiotoxicity remains unclear. Here, the authors show that leflunomide mitigates αPD1-induced cardiac toxicity in melanoma-bearing mice through modulation of the microbiota-indole-3-propionic acid-heart axis.

A hybrid extracellular matrix–hydrogel with tunable mechanical stiffness and biochemical composition of young or aged cardiac tissue is used to identify the specific contributions of extracellular matrix ligands and mechanics for fibroblast aging.

The isolation of a crystalline radical cation carbon(I) species, generated via single-electron transfer between a carbodicarbene and a nitroaromatic compound, is reported. The resulting radical ion pair can mediate various C–O and C–C cross-coupling reactions with electron-deficient arenes bearing a leaving group.

A soft mesh microelectrode array can seamlessly integrate in developing brains, enabling long-term, stable mapping of how single-neuron activity and population dynamics emerge and evolve during brain development.

In this work, authors design novel protein condensation inhibitors (PCIs) targeting an allosteric site of cGAS, blocking DNA interactions and phase separation to suppress immune activation, and demonstrate therapeutic potential in inflammatory disease models.

Low temperature is a major factor limiting productivity in rice. Here the authors show that theCTB4a gene confers cold tolerance to japonicavarieties adapted to cold habitats at the booting stage of development, and propose that CTB4a acts via an interaction with the beta subunit of ATP synthase.

In a prespecified interim analysis of the randomized, double-blind phase 3 COMPASSION-15 trial, patients with advanced HER2-negative gastric/GEJ cancer treated with the anti-PD-L1/CTLA-4 bispecific Ab cadonilimab plus chemotherapy showed significantly improved overall survival compared with patients treated with placebo plus chemotherapy as first-line treatment.

Osteoarthritis is closely linked to obesity. Here, the authors show that lipid overload in chondrocytes boosts fatty acid oxidation, fueling disease progression via SOX9 degradation and epigenetic dysregulation.

GIANT, a genetically informed brain atlas, integrates genetic heritability with neuroanatomy. It shows strong neuroanatomical validity and surpasses traditional atlases in discovery power for brain imaging genomics.

Silacyclobutanes have wide applications in ring opening and ring extension reactions, but functionalization remains challenging. Herein, the authors report visible-light-induced metal-free hydrosilylation of unactivated alkenes with hydrosilacyclobutanes.

Scanning tunnelling microscopy experiments uncover a primary pair density wave at the reconstructed surface of the kagome metal CsV₃Sb₅, and tip-assisted, atomically precise manipulation of the reconstruction provides control over the emergent quasi-two-dimensional superconductivity.

Heavy metals and plastics are two major environmental pollutants. Here, the authors engineer microbial platforms capable of endogenously biosynthesizing phosphomelanin for simultaneously heavy metals adsorption and plastics degradation.

Currently, there is limited understanding of the molecular subtypes of fumarate hydratase (FH)-deficient renal cell carcinoma (RCC). Here, the authors employ integrated genomics and transcriptomics to develop a CpG site-specific methylation signature for the identification of FH-deficient RCC, and to identify three distinct molecular subtypes for this rare but highly lethal kidney cancer.

By introducing an unconventional spin–orbit torque, the authors demonstrate an all-electrical way to bidirectionally switch the perpendicular chiral antiferromagnetic order in Mn₃Sn, promoting the application of antiferromagnetic spintronics.

The genetic basis of C-reactive protein levels remains underexplored in diverse populations. Here, the authors show 113 loci associated with CRP across ancestries, highlighting 55 novel genes and ancestry-specific signals with functional and disease relevance.

The connection between plasma proteomic and brain structure remains unclear. Here, the authors establish a comprehensive atlas of the patterns of associations between microscale proteome and brain structure, and demonstrate their potential value for studying brain disorders.

In a large-scale, international, multicenter, phase 1/1b trial, treatment of patients with advanced solid tumors with the B7H3-targeting antibody–drug conjugate YL201 was safe and showed preliminary clinical efficacy.

Immune-checkpoint inhibitors (ICIs) have improved lung cancer outcomes, although resistance to these agents presents a substantial challenge. This Review describes the progress made in developing the next generation of immunotherapies for non-small-cell and small cell lung cancers, including novel immune-checkpoint modulators, immune cell engagers, adoptive cell therapies and therapeutic vaccines, as well as the mechanisms by which these agents might overcome resistance to the current generation of ICIs.

This study demonstrated that different types of HC-Pros from potyviruses exhibit varying capacities to inhibit HEN1. This results in distinct levels of autophagic AGO1 degradation, which in turn leads to differences in RNA silencing suppression efficiency.

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.

Self-assembled monolayers targeting wide-bandgap perovskite solar cells are essential to reduce the open-circuit voltage loss. Here, the authors report the stepwise tuning of interfacial energy level through inductive effect, achieving perovskite/TOPCon tandem solar cells with efficiency over 31%.

This study demonstrates a 38.2 Tbit/s optical interconnect using silicon photonic circuits, combining wavelength- and mode-multiplexing with high-order modulation for ultra-high-capacity data transmission and scaling next-gen computing systems.

In a phase 1/2 trial in patients with advanced non-small-cell lung cancer (NSCLC), followed by a phase 2 trial in an EGFR-mutant selected population, treatment with the TROP2-targeting antibody–drug conjugate sacituzumab tirumotecan led to encouraging clinical response rates, especially in patients with EGFR-mutant NSCLC, which was supported by mechanistic data.

Predicting the effects of missense variants is important in discovering disease risk genes and clinical genetic diagnostics. Here the authors introduce a deep learning method (MisFit) to estimate the fitness effects of all possible human missense variants using large population data, achieving superior performance in prioritizing risk variants in early-onset conditions.