Pain
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Migraine is a common multifactorial episodic brain disorder with strong genetic basis. Monogenic subtypes include rare familial hemiplegic migraine, cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, familial advanced sleep-phase syndrome (FASPS), and retinal vasculopathy with cerebral leukodystrophy. Functional studies of disease-causing mutations in cellular and/or transgenic models revealed enhanced (glutamatergic) neurotransmission and abnormal vascular function as key migraine mechanisms. ⋯ Genome-wide association studies have already identified over a dozen genes involved in neuronal and vascular mechanisms. Here, we review the current state of molecular genetic research in migraine, also with respect to functional and pathway analyses. We will also discuss how novel experimental approaches for the identification and functional characterization of migraine genes, such as next-generation sequencing, induced pluripotent stem cell, and optogenetic technologies will further our understanding of the molecular pathways involved in migraine pathogenesis.
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Responses to pharmacotherapy for acute and chronic pain are highly variable, and efficacy is often compromised by some form of toxicity. To increase our understanding of complexities of pharmacotherapy, the authors discuss an approach to identify analgesic responder subgroups and predictors of response. Additionally, analgesic efficacy and toxicity were combined in a single risk-benefit index (utility function) to quantify the probability of side effects in high- vs low-analgesic responders. ⋯ An important observation was that, irrespective of dose, low-analgesic responders to fentanyl had a greater probability of respiratory depression than analgesia while the reverse was true for high-analgesic responders. These data show dissociation between 2 μ-opioid end-points and explain the danger of treating poor analgesic responders with increasingly higher opioid doses. Apart from being valuable in drug development programs, the outlined approach can be used to determine the choice of drug and dose in the treatment of pain in patients with potent and toxic analgesics.
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Randomized Controlled Trial
Comparing the DN4 tool with the IASP Grading System for Chronic Neuropathic Pain Screening After Breast Tumor Resection With and Without Paravertebral Blocks: A Prospective Six-month Validation Study.
Investigating protective strategies against chronic neuropathic pain (CNP) after breast cancer surgery entails using valid screening tools. The DN4 (Douleur Neuropathique en 4 questions) is 1 tool that offers important research advantages. This prospective 6-month follow-up study seeks to validate the DN4 and assess its responsiveness in screening for CNP that satisfies the International Association for the Study of Pain (IASP) definition and fulfills its grading system criteria after breast tumor resection with and without paravertebral blocks (PVBs). ⋯ Therefore, the sensitivity and specificity of the DN4 were estimated at 90% and 60%, respectively. Both screening tools suggested that PVB reduced the 6-month CNP risk. Our results suggest that the DN4 can reliably identify CNP at 6 months after breast tumor resection and detect the preincisional PVB effect on the risk of developing such pain.
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Chronic visceral pain syndromes are important clinical problems with largely unmet medical needs. Based on the common overlap with other chronic disorders of visceral or somatic pain, mood and affect, and their responsiveness to centrally targeted treatments, an important role of central nervous system in their pathophysiology is likely. A growing number of brain imaging studies in irritable bowel syndrome, functional dyspepsia, and bladder pain syndrome/interstitial cystitis has identified abnormalities in evoked brain responses, resting state activity, and connectivity, as well as in gray and white matter properties. ⋯ Some of these changes show moderate correlations with behavioral and clinical measures. Most recently, data-driven machine-learning approaches to larger data sets have been able to classify visceral pain syndromes from healthy control subjects. Future studies need to identify the mechanisms underlying the altered brain signatures of chronic visceral pain and identify targets for therapeutic interventions.