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Teclistamab versus lenalidomide-dexamethasone in high-risk smoldering multiple myeloma: a randomized phase 2 trial

Nature Medicine, Published online: 11 September 2026; doi:10.1038/s41591-026-04642-w

In the randomized phase 2 ImmunoPRISM trial, patients with high-risk smoldering multiple myeloma (MM) showed higher rates of complete clinical responses in response to treatment with teclistamab compared with lenalidomide–dexamethasone, although longer follow-up is required to determine durable prevention of progression to MM.
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Lipotoxicity-induced ER-mitochondrial hypercoupling activates the mtDNA-cGAS-STING-NF-κB axis to drive follicular arrest in metabolically compromised PCOS

Cell Death Discovery, Published online: 08 September 2026; doi:10.1038/s41420-026-03339-w

Lipotoxicity-induced ER-mitochondrial hypercoupling activates the mtDNA-cGAS-STING-NF-κB axis to drive follicular arrest in metabolically compromised PCOS
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A SAUR gene enhances maize drought resilience by promoting silk elongation

Nature, Published online: 20 May 2026; doi:10.1038/s41586-026-10566-9

The Small Auxin Up RNA (SAUR) protein ZmSAUR72 in maize (Zea mays) promotes silk growth via regulation of H+-ATPase activity, and is a key determinant of the anthesis-silking interval and thus resilience to drought.
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Leptomeningeal metastatic cancer cells induce a permissive choroid plexus vasculature through extracellular-vesicle-derived 5-HIAA signaling

Nature Cancer, Published online: 03 April 2026; doi:10.1038/s43018-026-01145-y

Huang, Hou, Yang et al. demonstrate that leptomeningeal metastatic cells favor the formation of a premetastatic niche by remodeling the choroid plexus vasculature through the serotonin metabolite 5-hydroxyindoleacetic acid, which signals into endothelial cells through the aryl hydrocarbon receptor.
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Insulin resistance prediction from wearables and routine blood biomarkers

Nature, Published online: 16 March 2026; doi:10.1038/s41586-026-10179-2

A machine-learning model that integrates data from wearable devices (such as smartwatches) with blood biomarkers and demographic data can predict whether someone has insulin resistance, enabling timely lifestyle interventions to prevent progression to type 2 diabetes.
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