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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.

In the adrenal cortex, cholesterol used for steroid production is stored in lipid droplets. The authors demonstrate here the importance of the transcription factor HHEX in maintaining glucocorticoid levels and protecting lipid droplets from androgen-induced lipid depletion.

Global Burden of Disease estimates show that between 1990 and 2023, the prevalence and burden of drug use disorders, inclusive of amphetamine, cannabis, cocaine and opioid use, have been increasing in high-income countries, particularly in the USA.

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.

Short-circuiting during fast charging through lithium dendrite intrusion into electrolytes is a major challenge in solid-state batteries. Here, using thermally annealed 3-nm-thick Ag coatings, lithium penetration into brittle electrolyte Li_6.6La₃Zr_1.6Ta_0.4O₁₂ is inhibited at local current densities of 250 mA cm⁻² due to an increase in surface fracture toughness.

Here the authors perform longitudinal sampling of lymphoid organs along with fate mapping and matched single-cell RNA sequencing and TCR sequencing to define the developmental dynamics of follicular regulatory T (T_FR) cells. They find that T_FR cells undergo clonal expansion and progressive differentiation in a process that requires follicular helper T cells.

Here, as part of the Sherlock-Lung study, the authors profile the microbiomes of 940 lung cancers in never smokers finding no significant associations with demographic and clinical features, suggesting lung bacteria are unlikely to have a sizable role in lung cancer.

Chemical language models trained on known metabolites can identify previously unknown metabolites from mass spectrometry-based metabolomics data with high accuracy.

Weir et al. present IdentifiHR, a logistic regression model to predict the homologous recombination status of a high-grade serous ovarian carcinoma using the expression of 209 genes. Findings reveal that the IdentifiHR model is accurate and can be applied to bulk and single cell RNA sequencing data.

Researchers use adaptive optics to correct distortions from digital micromirror devices in Hadamard single-pixel microscopy. The sensorless method restores sharp detail, nears diffraction-limited resolution, while correcting sample-induced aberrations.

Age-related macular degeneration (AMD) is a common cause of vision loss with a large genetic risk in older individuals. Here, for a high-risk AMD subtype, the authors identify an association with a chromosome 10 risk region containing a long non-coding RNA.

Here, the authors examine the mechanisms behind cheatgrass’s successful invasion of North American ecosystems. Their genetic analyses and common garden experiments demonstrate that multiple introductions and migrations facilitated cheatgrass local adaptation.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

Cerebral malaria (CM) is a severe complication of Plasmodium falciparum infection. Here the authors show that methylene blue treatment reverses brainstem damage in rhesus macaque CM and identify neutrophil-linked genes as potential biomarkers for severe and fatal P. falciparum infection.

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.

Amyloid plaques are a hallmark of Alzheimer’s disease. Better understanding of their biochemistry can inspire new biomarkers and therapeutics. Using multimodal mass spectrometry imaging, this work reveals surprising lipid heterogeneity in plaque microenvironments across the brain.

In ancestral SARS-CoV-2 infection, NK cell interferon-stimulated gene (ISG)-driven activation correlated with poor antibody breadth. In vitro, NK cell ISG expression boosts cytotoxicity toward T_FH-like cells, suggesting a mechanism for impaired antibody responses.

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.

Electron tomography enables high-resolution 3D imaging but is limited by radiation sensitivity. Here, the authors demonstrate a phase retrieval method using multiple tilted HRTEM focal series, achieving 1.6 Å resolution with improved dose efficiency and elemental sensitivity.

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 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.

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

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.

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.

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.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

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.

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.

After spinal cord injury, lesion-remote astrocytes acquire heterogeneous, spatially restricted reactivity states that shape neuroinflammation, neural repair and neurological recovery.

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.

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.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Many premalignant colorectal polyps in familial adenomatous polyposis arise polyclonally rather than from a single mutated cell, showing diverse early evolutionary trajectories that frequently occur without clonal APC or KRAS driver events.

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.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

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.

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.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

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.