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Low back pain and the social determinants of health: a systematic review and narrative synthesis.

The social determinants of health (SDH) are known to differentially impact outcomes from many noncommunicable diseases; however, their potential role in low back pain (LBP) is poorly defined. This review endeavours to comprehensively inform the field of their relevance. Our research question was: "How do the broad range of SDH and chronic LBP (CLBP) relate?" The primary aim of this review was to synthesise evidence of relationships between SDH and the frequency or severity of CLBP. Secondary aims were to identify relationships between SDH and LBP-related disability, work absenteeism, and opioid prescription. We included studies involving adult participants that evaluated relationships between one or more of the SDH and CLBP frequency or LBP outcomes (beyond 3 months). Two reviewers screened studies, extracted data, and assessed risk of bias. We synthesized the results narratively and applied PROGRESS to organise our findings. Database searches identified 7018 records. Forty-one studies were included, containing data from 2,161,617 adults from 17 countries. Twenty-four percent and 19% of the relationships included were classified as having a high risk of bias due to confounding and missing data, respectively. We reported 166 relationships representing the majority of the PROGRESS domains. An array of independent and interdependent relationships between the SDH and CLBP were identified with the strongest evidence for associations related to educational attainment and socioeconomic status. Our findings suggest that greater recognition of the contribution of SDH to disparities in LBP outcomes is warranted and this has the potential to usefully inform strategies to impact burden.

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Immune cell-mediated opioid analgesia.

Pathological pain is regulated by a balance between pro-algesic and analgesic mechanisms. Interactions between opioid peptide-producing immune cells and peripheral sensory neurons expressing opioid receptors represent a powerful intrinsic pain control in animal models and in humans. Therefore, treatments based on general suppression of immune responses have been mostly unsuccessful. It is highly desirable to develop strategies that specifically promote neuro-immune communication mediated by opioids. Promising examples include vaccination-based recruitment of opioid-containing leukocytes to painful tissue and the local reprogramming of pro-algesic immune cells into analgesic cells producing and secreting high amounts of opioid peptides. Such approaches have the potential to inhibit pain at its origin and be devoid of central and systemic side effects of classical analgesics. In support of these concepts, in this article, we describe the functioning of peripheral opioid receptors, migration of opioid-producing immune cells to inflamed tissue, opioid peptide release, and the consequent pain relief. Conclusively, we provide clinical evidence and discuss therapeutic opportunities and challenges associated with immune cell-mediated peripheral opioid analgesia.

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Systemic hypoxia mimicry enhances axonal regeneration and functional recovery following peripheral nerve injury.

Despite the ability of peripheral nerves to regenerate after injury, failure occurs due to an inability of supporting cells to maintain growth, resulting in long-term consequences such as sensorimotor dysfunction and neuropathic pain. Here, we investigate the potential of engaging the cellular adaptive response to hypoxia, via inhibiting its negative regulators, to enhance the regenerative process. Under normoxic conditions, prolyl hydroxylase domain (PHD) proteins 1, 2, and 3 hydroxylate the key metabolic regulator hypoxia inducible factor 1α (HIF1α), marking it for subsequent proteasomal degradation. We inhibited PHD protein function systemically via either individual genetic deletion or pharmacological pan-PHD inhibition using dimethyloxalylglycine (DMOG). We show enhanced axonal regeneration after sciatic nerve crush injury in PHD1 mice, PHD3 mice, and in DMOG-treated mice, and in PHD1 and DMOG-treated mice a reduction in hypersensitivity to cooling after permanent sciatic ligation. Electromyographically, PHD1 and PHD3 mice showed an increased CMAP amplitude one-month post-injury, probably due to protection against denervation induced muscle atrophy, while DMOG-treated and PHD2 mice showed reduced latencies, indicating improved motor axon function. DMOG treatment did not affect the growth of dorsal root ganglion neurites in vitro, suggesting a lack of direct effects of DMOG on axonal regrowth. Enhanced regeneration in vivo was concurrent with an increase in macrophage density, and a shift in macrophage polarization state ratios (from M1-like toward M2-like) in DMOG-treated animals. These results indicate PHD proteins as a novel therapeutic target to improve regenerative and functional outcomes after peripheral nerve injury without manipulating molecular O.

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Comparing prospective headache diary and retrospective four-week headache questionnaire over 20 weeks: Secondary data analysis from a randomized controlled trial.

Headache diaries and recall questionnaires are frequently used to assess headache frequency and severity in clinical and research settings.

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Safety of Rimegepant, an Oral CGRP Receptor Antagonist, Plus CGRP Monoclonal Antibodies for Migraine.

Evaluate the safety and tolerability of oral rimegepant when used for acute treatment concomitantly with a monoclonal antibody (mAb) targeting the calcitonin gene-related peptide (CGRP) ligand or receptor (CGRP mAb) for the preventive treatment of migraine.

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The efficacy of perioperative gabapentin for the treatment of postoperative pain following total knee and hip arthroplasty: a meta-analysis.

Postoperative pain after total knee arthroplasty (TKA) and total hip arthroplasty (THA) influence patients' rehabilitation and life quality. Although gabapentin has been widely used for analgesia, its efficacy is still controversial in TKA and THA. This meta-analysis was performed to assess the efficacy and safety of gabapentin following TKA and THA.

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Trigeminal activation patterns evoked by chemical stimulation of the dura mater in rats.

Although migraine is one of the most common primary headaches, its therapy is still limited in many cases. The use of animal models is crucial in the development of novel therapeutic strategies, but unfortunately, none of them show all aspects of the disease, therefore, there is a constant need for further improvement in this field. The application of inflammatory agents on the dura mater is a widely accepted method to mimic neurogenic inflammation in rodents, which plays a key role in the pathomechanism of migraine. Complete Freund's Adjuvant (CFA), and a mixture of inflammatory mediators, called inflammatory soup (IS) are often used for this purpose.

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Conversion from chronic to episodic migraine in patients treated with erenumab: real-life data from an Italian region.

Most patients treated with erenumab in clinical practice have chronic migraine (CM). We assessed the rate and possible predictors of conversion from CM to episodic migraine (EM) in a real-life study.

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Digital interventions for promoting exercise adherence in chronic musculoskeletal pain: a systematic review and meta-analysis.

Chronic musculoskeletal disorders are the second largest contributor to disability globally. Exercise is typically recommended by physiotherapists to manage symptoms. However, adherence to the prescribed exercise programme is often poor. Adjunctive digital interventions offer potential to enhance exercise adherence.

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Decomposing conditioned avoidance performance with computational models.

Avoidance towards innocuous stimuli is a key characteristic across anxiety-related disorders and chronic pain. Insights into the relevant learning processes of avoidance are often gained via laboratory procedures, where individuals learn to avoid stimuli or movements that have been previously associated with an aversive stimulus. Typically, statistical analyses of data gathered with conditioned avoidance procedures include frequency data, for example, the number of times a participant has avoided an aversive stimulus. Here, we argue that further insights into the underlying processes of avoidance behavior could be unraveled using computational models of behavior. We then demonstrate how computational models could be used by reanalysing a previously published avoidance data set and interpreting the key findings. We conclude our article by listing some challenges in the direct application of computational modeling to avoidance data sets.

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