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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.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

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).

Activation of G_s signaling at mitochondria by mitoDREADD-G_s increases mitochondrial metabolism, leading to better memory in mouse models of dementia, directly linking brain mitochondrial deficits to cognitive symptoms of neurodegenerative diseases.

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.

This flagship study from the European Solve-Rare Diseases Consortium presents a diagnostic framework including bioinformatic analysis of clinical, pedigree and genomic data coupled with expert panel review, leading to 500 new diagnoses in a cohort of 6,000 families with suspected rare diseases.

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.

Plant invasions are thought to alter the ecosystem in a way that disadvantages the native species, making re-establishment after eradication difficult; here, on returning to a site at which an invasive plant altered nitrogen-mineralization levels several decades ago, mineralization is found to have returned to pre-invasion levels, although these new conditions favour new invaders over the natives.

Here the authors apply machine learning approaches to Alzheimer’s genetics, confirm known associations and suggest novel risk loci. These methods demonstrate predictive power comparable to traditional approaches, while also offering potential new insights beyond standard genetic analyses.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

Zebrafish patient-derived xenograft models (zAvatar) can be used to study cancer biology as well as to predict patient clinical outcomes and response to therapies. Here, in a cohort of 55 patients with colorectal cancer, the authors report that the zAvatar-test can predict response to chemotherapy and clinical outcome with 91% accuracy.

A common but untested expectation is that nutrient enrichment causes biotic homogenization. However, a globally standardized nutrient addition experiment in grasslands shows proportionally similar species loss across scales and no biotic homogenization after up to 14 years of treatment.

Known genetic loci account for only a fraction of the genetic contribution to Alzheimer’s disease. Here, the authors have performed a large genome-wide meta-analysis comprising 409,435 individuals to discover 6 new loci and demonstrate the efficacy of an Alzheimer’s disease polygenic risk score.

Polygenic risk scores for Alzheimer’s disease derived from individuals of European ancestry can show improved performance in multiancestry settings after incorporating genome-wide association summary statistics from diverse populations.

Infection with highly pathogenic avian influenza H5N1 in dairy cows leads to humoral immunity that protects them from infection through rechallenge via the intra-mammary route.

In this study, the authors report that post-vaccination neutralizing and binding antibody levels in the ENSEMBLE trial associate with Ad26.COV2.S vaccine efficacy (VE) against severe-critical COVID-19, with substantial VE even at unquantifiable neutralizing antibody titer.

Analysis of 2,170 SARS-CoV-2 sequences from the first wave of the COVID-19 epidemic in Spain provides insights into transmission patterns and the effects of lockdown on the emergence of new variants.

Levantine Phoenicians made little genetic contribution to Punic settlements in the central and western Mediterranean between the sixth and second centuries bce; instead, the Punic people derived most of their ancestry from a genetic profile similar to that of Sicily and the Aegean, with notable contributions from North Africa as well.

SARS-CoV-2 variants with mutations in spike have emerged during the pandemic. Magaret et al. show that in Latin America, efficacy of the Ad26.COV2.S vaccine against moderate to severe–critical COVID-19 varied by sequence features, antibody escape scores, and neutralization impacting features of the SARS-CoV-2 variant.

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.

The role of metabolism in acute myeloid leukaemia (AML) onset remains to be explored. Here, the authors explore the metabolic landscape of AML cells and the signature of extracellular vesicles (EVs) in peripheral blood and show that circulating EVs regulate leukaemia (stem) cell metabolic reprogramming.

A population of neutrophils in the skin produces extracellular matrix, providing a defence strategy by reinforcing the barrier properties of the skin and helping to block the entry of pathogens.

D1 receptor agonists bidirectionally regulate working memory capacity (WMC). Here, the authors show that low doses enhance WMC by activating cAMP/PKA in the striatum, whereas high doses impair it via prefrontal activation of striatal inhibitory neurons.

Although the common genetic variants contributing to blood lipid levels have been studied, the contribution of rare variants is less understood. Here, the authors perform a rare coding and noncoding variant association study of blood lipid levels using whole genome sequencing data.

Reducing the stigma and discrimination that people living with liver conditions experience requires rethinking how diagnoses, diseases, etiologies and circumstances are perceived — a shift that begins with the language used to name and describe them.

Gold-standard evidence for correlates of protection is provided by analysis of a randomized phase 3 trial of Ad26.COV2.S for protection against moderate to severe-critical COVID-19 disease.

Authors perform an analysis of the patient data and risk factors to evaluate unfavorable outcomes and adverse events in adults with pulmonary tuberculosis treated with a 4-month rifapentine based regimen. Low rifapentine exposure was the most clinically significant risk factor for treatment failure and tuberculosis relapse.

The influence of X chromosome genetic variation on blood lipids and coronary heart disease (CHD) is not well understood. Here, the authors analyse X chromosome sequencing data across 65,322 multi-ancestry individuals, identifying associations of the Xq23 locus with lipid changes and reduced risk of CHD and diabetes mellitus.

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.

An optical-tweezer-based nanorheometer is developed to quantify the viscoelasticity of biomolecular condensates and intracellular compartments in vivo during aging and mutations that cause nuclear envelopathies in a Caenorhabditis elegans model.

Using cervical explant models and cervical tissue from ART-suppressed HIV⁺ women, the authors here show that resident memory T cells (T_RM) in the cervical mucosa are preferentially infected and harbor more viral DNA, RNA and protein than non-T_RM, suggesting that T_RM may serve as viral reservoir in the cervical mucosa.

Immune response during breast cancer progression remains to be explored. Here, the characterisation of sequential and parallel multiregion samples of an index patient and a cohort of metastatic triple-negative breast cancers reveals convergent immune evasion mechanisms and an increase in tumor genomic heterogeneity.

The LITMUS consortium provides a resource of rodent MASLD models benchmarked against metabolic, histologic and transcriptomic features that are relevant for human MASLD. The work is useful for selecting relevant rodent models for studying this common disease.

Immune lymphocyte estimation from nucleotide sequencing (ImmuneLENS) infers B cell and T cell fractions from whole-genome sequencing data. Applied to the 100,000 Genomes Project datasets, circulating T cell fraction provides sex-dependent and prognostic insights in patients.

Remotely sensed NDVI data and contemporary field data from 84 grasslands on 6 continents show increasing divergence in aboveground plant biomass between sites in different bioclimatic regions.

A study shows that clonal haematopoiesis of indeterminate potential is associated with an increased risk of chronic liver disease specifically through the promotion of liver inflammation and injury.

Here, Caballero et al. provide an in depth characterisation of patients colonized with single or mixed strains of Pseudomonas aeruginosa to demonstrate the impact of within-host diversity on the development of antibiotic resistance.