RESUMEN
Psoriatic arthritis (PsA) is an inflammatory joint and entheseal disease associated with significant personal and public health burden. PsA has a prevalence of up to 1%, affecting ~20% of people suffering with psoriasis. PsA is frequently accompanied by metabolic syndrome (MetS), and both conditions are characterised by a chronic pro-inflammatory state, with several key cytokines in PsA (interleukin (IL)-17 and IL-23) also elevated in those with MetS. This narrative review aims to provide an update on MetS in PsA, focusing on its prevalence, pathogenesis, prognosis, treatment interactions and future therapeutic options. MetS is particularly prevalent in PsA compared to other inflammatory arthritides. Cohort studies indicate a higher risk of PsA in individuals with obesity, while Mendelian randomization studies link childhood obesity, insulin resistance, and dyslipidaemia to PsA. Weight loss interventions have been shown to reduce disease activity in PsA. Additionally, MetS negatively impacts the efficacy of tumour necrosis factor inhibitor (TNFi) drugs in treating PsA. Drugs given for PsA may also affect the conditions constituting MetS. Leflunomide has been shown to reduce body weight but also increase blood pressure. TNFi drugs lead to weight gain but reduce cardiovascular risk. Janus kinase inhibitors increase lipid levels and cardiovascular risk among high-risk groups. Anti-IL-17 and anti-IL-12/IL-23 drugs may cause a short-term increase in cardiovascular risk, although the long-term effects have yet to be established. Weight loss represents an unexplored avenue for disease modification in PsA, alongside a plethora of general health benefits. Dietary and exercise modifications are the cornerstone of weight management but vary substantially across individuals. Novel therapies to treat weight loss, such as glucagon-like peptide 1 agonists and sodium-glucose cotransporter 2 inhibitors, may prove useful alongside disease-modifying therapies for those with PsA and MetS and should be investigated as potential therapeutic adjuncts.
What effects do obesity and related health problems have on psoriatic arthritis? Psoriatic arthritis (PsA) is a condition that causes joint pain and swelling, which can lead to permanent damage to the joints over time. This condition affects 1 in 100 people and 1 in 5 people with psoriasis. Metabolic syndrome (MetS) is a condition where a person has a combination of high body fat, high blood pressure, high blood sugar and/or high cholesterol. MetS is more common in someone with PsA. If a person has MetS, they are more likely to get PsA. If a person with PsA has MetS, they have worse joint problems and their joint problems do not improve as much with certain treatments. Many of the drugs given for PsA can affect MetS. This can include increasing or decreasing body weight, increasing blood pressure and increasing or decreasing the risk of having a heart attack or stroke. Different medications affect these risks in different ways. Weight loss helps people with PsA improve their joint problems. However, some people find losing weight harder than others. Medications that can help people lose weight, could be useful to improve joint problems in PsA. Future studies should see if these medications can be useful in people with PsA and MetS.
RESUMEN
OBJECTIVES: Sleep disturbance has been associated with chronic widespread pain (CWP), but their causal relationship remains unclear. We aimed to examine the causal relationship and direction between CWP and sleep traits, namely insomnia, sleep duration and chronotype, using Mendelian Randomization. METHOD: We used genetic association data from ~0.5 million individuals and up to 1.8 million controls from the UK Biobank (UKB). All traits were defined predominantly by self-report. Short sleep duration was defined as average ≤6 hours per 24 hours. Chronotype refers to the inclination to sleep at certain times where some wake and go to bed early ('morning' person), and others wake and go to sleep later ('evening' person). To permit use of the largest available genetic association data, we used the Causal Analysis Using Summary Effect estimates (CAUSE) method, which allows for sample overlap. RESULTS: Insomnia (OR 1.009, 95% credible interval 1.005, 1.014; p = 0.018 that the causal model is a better fit than non-causal model) and short sleep duration (OR 1.060, 95%CrI 1.038, 1.083; p = 0.040) were causally associated with increased risk of CWP, with limited evidence for reverse causation. There was no evidence in support of long sleep duration or chronotype being associated with CWP. CONCLUSIONS: This study suggest that insomnia and short sleep duration (≤6 hours) are associated with an increased risk of CWP. Improving short sleep duration and insomnia, rather than chronotype, may be effective in reducing the risk of CWP, although these results should be replicated in epidemiological and interventional studies.