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Improving tinnitus prevention and clinical management by identifying key associated risk factors is crucial. Here, the authors use machine learning in a large cohort to identify key predictors of tinnitus onset, as well as risk factors of being severely distressed by it.

Fillingim et al. show that biological and psychosocial factors jointly predict conditions associated with chronic pain.

Nanopores of porous electrodes have key roles in enhancing supercapacitor performance, but little is known at the atomic level. Merlet et al. perform molecular dynamics simulations and report the effects of confinement of electrolyte ions inside the pores on charge storage efficiency.

A diterpenoid biosynthetic gene cluster (BGC) has been identified in a few species in the Lamiaceae (mint) family, but its origin and evolution remain unclear. Here, the authors report assembly of genomes of three species within the family and reveal the dynamic evolutionary trajectory of the BGC.

Predicting topological structures from Hi-C data provides insight into comprehending gene expression and regulation. Here, the authors present RefHiC, an attention-based deep learning framework that leverages a reference panel of Hi-C datasets to assist topological structure annotation from a given study sample.

RNA-based viruses can be engineered to express artificial microRNAs (amiRNAs). Here, the authors identify a candidate amiRNA that confers a replicative advantage to oncolytic viruses, enhancing their anticancer potency, and show that intercellular transfer of extracellular vesicles carrying the amiRNA promotes bystander killing of uninfected cancer cells.

Probiotic Escherichia coli Nissle 1917 is engineered as an antitumour vaccination platform optimized for enhanced production and cytosolic delivery of neoepitope-containing peptide arrays to safely induce specific, effective and durable systemic antitumour immunity.

Pain experience is highly individual, but its individual-specific brain features remain unclear. The authors identify brain regions with consistent versus variable representations of pain across a large sample of individuals.

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.

A risk score developed using biological, psychological and social factor data from the UK Biobank can predict different pain conditions, the risk of chronic pain spreading across body sites and the prognosis of chronic pain up to 9 years later.

Comprehensive genomic profiling of human H3K27M mutant diffuse midline gliomas, combining single-cell RNA sequencing and ATAC sequencing with bulk ChIP sequencing and other data, proposes distinct oligodendrocyte populations as potential cells of origin.

Climate warming affects permafrost regions, with strong impacts on the environment such as the greening of river plains. Here the authors use satellite data to show that these changes have stabilized large Arctic sinuous rivers by slowing their lateral migration by about 20% over the past half-century.

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.

A randomized trial in patients hospitalized with COVID-19 showed no benefit and potentially increased harm associated with the use of convalescent plasma, with subgroup analyses suggesting that the antibody profile in donor plasma is critical in determining clinical outcomes.

Transscleral optical phase imaging, which is based on transscleral flood illumination of the retina, is demonstrated to provide cellular-resolution, label-free, high-contrast images of the retinal layers over a large field of view without the drawback of a long exposure time.

The authors define the global environmental niches of plankton from nano- (viruses) to meso-zooplankton (small metazoans) using metagenomic data. They assess reorganizations under climate change and the environmental drivers of change, with focus on the impacts on nitrogen and carbon fluxes.

The functional magnetic resonance imaging connectivity pattern of tonic experimental orofacial pain can be used as a quantitative and unbiased biomarker of clinical pain.

The aboveground carbon stock of a montane African forest network is comparable to that of a lowland African forest network and two-thirds higher than default values for these montane forests.

Pain is affected by cerebral processes in addition to afferent nociceptive input. Here the authors develop an fMRI-based signature that predicts pain independent of the intensity of nociceptive signals and mediates the pain-modulating effects of several cognitive interventions.

This study uses fMRI in humans to find that prediction errors about pain are encoded in the periaqueductal gray. Modeling inter-area connectivity suggests that the ventromedial prefrontal cortex and the putamen pass on a value-related signal to this midbrain structure, which then conveys predictor error signals to prefrontal regions that regulate behavior.

Mammalian genomes are scattered with repetitive sequences, but their biology remains largely elusive. Here, the authors show that transcription can initiate from short tandem repetitive sequences, and that genetic variants linked to human diseases are preferentially found at repeats with high transcription initiation level.

Free-space communication in the mid-IR domain has many potential applications, but security is still challenging. Here, the authors use chaos synchronization in a QCL-based free-space link as a way to increase privacy of such transmissions.

Nectin-4 is identified as a receptor for measles virus on epithelial cells, and measles virus might use nectin-4 for emergence in the airways.

This Perspective assesses the performance limits of hexagonal boron nitride when used as a gate insulator in complementary metal–oxide–semiconductor (CMOS) devices based on two-dimensional materials, concluding that due to excessive leakage currents, the material is unlikely to be suitable for use in ultrascaled CMOS devices.