Pain
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Spinal cord injury leads to hyperexcitability and dysfunction in spinal sensory processing. As hyperexcitable circuits can become epileptiform, we explored whether such activity emerges in a thoracic spinal cord injury (SCI) contusion model of neuropathic pain. Recordings from spinal sensory axons in multiple below-lesion segmental dorsal roots demonstrated that SCI facilitated the emergence of spontaneous ectopic burst spiking in afferent axons, which were correlated across multiple adjacent dorsal roots. ⋯ We conclude that spinal cord injury promotes the emergence of epileptiform activity in spinal sensory networks that promote profound corruption of sensory signaling. This includes hyperexcitability and bursting by ectopic spiking in afferent axons that propagate bidirectionally by reentrant central and peripheral projections as well as sensory circuit hypoexcitability during the burst refractory period. More broadly, the work links circuit hyperexcitability to epileptiform circuit emergence, further strengthening it as a conceptual basis to understand features of sensory dysfunction and neuropathic pain.
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As the incidence and survival rates of patients with cancer continues to grow, an increasing number of people are living with comorbidities, which often manifests as cancer-induced bone pain (CIBP). The majority of patients with CIBP report poor pain control from currently available analgesics. A conotoxin, Contulakin-G (CGX), has been demonstrated to be an antinociceptive agent in postsurgical and neuropathic pain states via a neurotensin receptor 2 (NTSR2)-mediated pathway. ⋯ Moreover, at antinociceptive doses, CGX had no impact on motor behavior in rodents with CIBP. Finally, RNAScope and immunoblotting analysis revealed expression of NTSR2 in both dorsal and ventral horns, while Cav2.3 was minimally expressed in the ventral horn, possibly explaining the sensory selectivity of CGX. Together, these findings support advancing CGX as a potential therapeutic for cancer pain.
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Meta Analysis
Is personalization of psychological pain treatments necessary? Evidence from a Bayesian variance ratio meta-analysis.
This is the first study to empirically determine the potential for data-driven personalization in the context of chronic primary pain (CPP). Effect sizes of psychological treatments for individuals with CPP are small to moderate on average. Aiming for better treatment outcomes for the individual patient, the call to personalize CPP treatment increased over time. ⋯ However, this result warrants careful consideration. Further research is needed to shed light on the heterogeneity of psychological treatment studies and thus to uncover the full potential of data-driven personalized psychotherapy for patients with CPP. A Bayesian variance ratio meta-regression indicates empirical evidence that data-driven personalized psychotherapy for patients with chronic primary pain could increase effects of cognitive behavioral therapy.