SynthesisClinical rheumatology2026
Genetic evidence of the causal relationship between genetically predicted nutrients and psoriatic arthritis.
Synthesis in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundRecently, the importance of nutrients in managing the immune system and inflammation has garnered increasing attention. Research indicates that different nutrients can either reduce or promote inflammation within the immune system. Considering that psoriatic arthritis is a chronic immune-mediated inflammatory disorder, this research sought to investigate potential causal relationships between genetically predicted levels of 25 nutrients and psoriatic arthritis, providing insights into disease pathogenesis and therapeutic strategies. PATIENTS AND
methodsThis study performed a two-sample Mendelian randomization (MR) study along with subsequent meta-analysis. Exposures comprised 25 circulating nutrients, instrumented by genetic variants (IVs), low linkage disequilibrium, and absence of pleiotropy. Outcomes included PsA cases from FinnGen (discovery cohort: N cases/controls = 3537/262,844) and Soomro et al. [23] (validation cohort: N cases/controls = 5065/21,286). Primary causal estimates were derived via inverse-variance weighted (IVW) regression, supplemented by sensitivity analyses (MR-Egger, weighted median, MR-PRESSO) to evaluate heterogeneity, horizontal pleiotropy, and outliers. Fixed-effects meta-analysis integrated estimates across cohorts.
resultsFindings from the meta-analysis revealed a positive association between the risk of psoriatic arthritis and saturated fatty acids (OR = 1.1407, 95% CI 1.0095-1.2890, P = 0.0347) and linoleic acid (OR = 1.1536, 95% CI 1.0321-1.2894, P = 0.0119). No associations were observed for other nutrients. Sensitivity analyses confirmed robustness.
conclusionThis study provides evidence that genetically predicted higher levels of saturated and linoleic acids are causally associated with increased PsA risk. These findings highlight potential dietary targets for PsA prevention and warrant investigation into lipid-mediated inflammatory pathways in PsA pathogenesis. Key Points • This study demonstrated a significant positive association between genetically predicted circulating levels of saturated fatty acids (OR = 1.141, 95%CI 1.010-1.289)/linoleic acid (OR = 1.154, 95%CI 1.032-1.289) and the risk of psoriatic arthritis. • These findings provided foundational insights for developing dietary interventions aimed at preventing and treating psoriatic arthritis. • Through a two-sample Mendelian randomization coupled with fixed-effects meta-analysis, the robustness of causal inferences was rigorously validated. • Collectively, these results advance the understanding of immunometabolic mechanisms underlying chronic inflammatory disorders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.