Mapping the spatial landscape of extracellular vesicles in tissues with Spatial-EV-seq
Nature Biotechnology, Published online: 26 June 2026; doi:10.1038/s41587-026-03206-0
Spatial-EV-seq is a method for spatially resolved profiling of extracellular vesicles (EVs) in tissues while preserving EVs’ native distribution. By integrating EV mapping with spatial transcriptomics, Spatial-EV-seq enables location-specific analysis of EVs and their communication networks within the tissue microenvironment, establishing a new paradigm in the field of spatial EV biology.
Spatially resolved profiling of extracellular vesicles in tissues with Spatial-EV-seq
Nature Biotechnology, Published online: 26 June 2026; doi:10.1038/s41587-026-03192-3
Spatial-EV-seq reveals spatial patterns of extracellular vesicles in tissues.
Adaptive brain stimulation 2.0 for Parkinsonian gait
Nature Medicine, Published online: 26 June 2026; doi:10.1038/s41591-026-04489-1
Two studies show that adaptive neuromodulation can improve Parkinsonian gait by matching stimulation to the right circuit at the right moment, pointing toward strategies that decompose complex symptoms into targetable spatial and temporal components.
Immersive virtual reality with synchronous neurostimulation for upper-limb recovery after stroke: a randomized feasibility trial
Nature Medicine, Published online: 26 June 2026; doi:10.1038/s41591-026-04486-4
A multimodal platform combining immersive virtual reality with a synchronous sensory neurostimulation protocol outperformed conventional rehabilitation in individuals with chronic stroke, driving upper-limb motor gains, restored body representation and improved tactile acuity while enabling objective kinematic tracking of recovery.
Re-administration of AAV-mediated gene therapy for OTOF-related deafness: a single-arm trial
Nature Medicine, Published online: 26 June 2026; doi:10.1038/s41591-026-04505-4
As part of a clinical trial, re-administration of AAV gene therapy in four patients with congenital deafness, who had previously received a first gene therapy dose and developed neutralizing antibodies, was safe and led to further hearing improvements.
Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial
Nature Medicine, Published online: 26 June 2026; doi:10.1038/s41591-026-04503-6
A pragmatic cluster-randomized trial found that ChatGPT-4o-assisted decision support in Kenyan primary care facilities did not significantly reduce 14-day treatment failure over usual care.
Cliramitug for depletion of cardiac amyloid transthyretin: long-term follow-up of the NI006-101 trial
Nature Medicine, Published online: 26 June 2026; doi:10.1038/s41591-026-04487-3
In an open-label extension study of the NI006-101 trial, in which patients with transthyretin amyloidosis cardiomyopathy were treated with the monoclonal antibody cliramitug, which targets misfolded transthyretin, long-term follow-up for a median of 29.3 months showed favorable safety, further reduction in cardiac amyloid burden and improvements in structural, functional and biomarker endpoints.
Mitochondrial stress response drives microglial senescence
Nature Neuroscience, Published online: 26 June 2026; doi:10.1038/s41593-026-02264-6
The mitochondrial unfolded protein response (UPRmt) drives microglial senescence and disrupts essential glia–neuron communication. By triggering lipid droplet accumulation and dysregulating the S-adenosylmethionine–polyamine axis, UPRmt fuels the senescence-associated secretory pathway, impairs synaptic pruning and accelerates misfolded protein pathology. In this issue of Nature Neuroscience, Perez et al. identify UPRmt as a primary driver of metabolic vulnerability in human microglia.
Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering
Nature Neuroscience, Published online: 26 June 2026; doi:10.1038/s41593-026-02342-9
D’Ambrogio et al. combine deep learning and symbolic regression to report an interpretable equation of how humans value information. The equation predicts choices and neural activity in anterior insula, cingulate cortex and midbrain nuclei.