Skip to content
naulon
Not checkedNot checked for notices yet.

TNF-α-preconditioning enhances analgesic efficacy of mesenchymal stem cell-derived extracellular vesicle in neuropathic pain via miR-101b-3p targeting Nav1.6

Lanyu Zhang, Jinping Wang, Jin Liu and 5 more

Bioactive Materials · 2025

doi:10.1016/j.bioactmat.2025.07.029 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Mesenchymal stem cell-derived extracellular vesicle (MSC-EV) has shown promise for pain relief, but its efficacy is limited. Preconditioning MSC with tumor necrosis factor-α (TNF-α) may enhance their therapeutic potential; however, the impact on analgesia and underlying mechanisms remains unclear. Here, we investigated the analgesic effects of EV from TNF-α-preconditioned MSC (T-EV) in a chronic constriction injury (CCI) mouse model and examined the molecular mechanisms involved. Following intrathecal injection, T-EV produced greater improvements in mechanical and thermal pain thresholds than control MSC-EV (C-EV), achieving enhanced pain relief for two weeks. Whole-cell patch-clamp recordings revealed that T-EV markedly decreased both the firing rate and action potential amplitude of dorsal root ganglion (DRG) neurons. RNA sequencing revealed that T-EV was enriched in miR-101b-3p. Silencing miR-101b-3p in T-EV abolished their enhanced analgesic effects and reversed DRG hyperexcitability. Moreover, miR-101b-3p was shown by luciferase assays to bind directly to the 3′UTR of Nav1.6, suppressing its expression. Engineered MSC-derived nanovesicle overexpressing miR-101b-3p replicated the increased pain relief observed with T-EV. These findings demonstrate that TNF-α preconditioning improves the analgesic potency of MSC-EV by delivering miR-101b-3p, which downregulates Nav1.6 and decreases DRG hyperexcitability. This study supports the therapeutic potential of miR-101b-3p-enriched vesicle as a novel strategy for treating neuropathic pain.

Abstract licence: CC BY-NC-ND

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.