Department of Cardiology, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Department of Geriatrics, North Sichuan Medical College, Nanchong, Sichuan, China.
Skin Res Technol. 2024 Jul;30(7):e13840. doi: 10.1111/srt.13840.
Psoriasis is a chronic inflammatory disease that causes significant disability. However, little is known about the underlying metabolic mechanisms of psoriasis. Our study aims to investigate the causality of 975 blood metabolites with the risk of psoriasis.
We mainly applied genetic analysis to explore the possible associations between 975 blood metabolites and psoriasis. The inverse variance weighted (IVW) method was used as the primary analysis to assess the possible association of blood metabolites with psoriasis. Moreover, generalized summary-data-based Mendelian randomization (GSMR) was used as a supplementary analysis. In addition, linkage disequilibrium score regression (LDSC) was used to investigate their genetic correction further. Metabolic pathway analysis of the most suggested metabolites was also performed using MetaboAnalyst 5.0.
In our primary analysis, 17 metabolites, including unsaturated fatty acids, phospholipids, and triglycerides traits, were selected as potential factors in psoriasis, with odd ratios (OR) ranging from 0.986 to 1.01. The GSMR method confirmed the above results (β = 0.001, p < 0.05). LDSC analysis mainly suggested the genetic correlation of psoriasis with genetic correlations (rg) from 0.088 to 0.155. Based on the selected metabolites, metabolic pathway analysis suggested seven metabolic pathways including ketone body that may be prominent pathways for metabolites in psoriasis.
Our study supports the causal role of unsaturated fatty acid properties and lipid traits with psoriasis. These properties may be regulated by the ketone body metabolic pathway.
银屑病是一种慢性炎症性疾病,会导致显著的残疾。然而,人们对银屑病的潜在代谢机制知之甚少。我们的研究旨在探讨 975 种血液代谢物与银屑病风险的因果关系。
我们主要应用遗传分析来探索 975 种血液代谢物与银屑病之间可能的关联。逆方差加权(IVW)法被用作主要分析方法,以评估血液代谢物与银屑病之间可能的关联。此外,广义汇总数据基于孟德尔随机化(GSMR)被用作补充分析。此外,还使用连锁不平衡得分回归(LDSC)进一步研究它们的遗传校正。使用 MetaboAnalyst 5.0 对最具提示性的代谢物进行代谢途径分析。
在我们的主要分析中,包括不饱和脂肪酸、磷脂和甘油三酯特征在内的 17 种代谢物被选为银屑病的潜在因素,其比值比(OR)范围为 0.986 至 1.01。GSMR 方法证实了上述结果(β=0.001,p<0.05)。LDSC 分析主要表明银屑病与遗传相关性(rg)的遗传相关性,范围从 0.088 到 0.155。基于所选代谢物,代谢途径分析表明,包括酮体代谢途径在内的七种代谢途径可能是银屑病代谢物的显著途径。
我们的研究支持不饱和脂肪酸特性和脂质特征与银屑病之间存在因果关系。这些特性可能受酮体代谢途径的调节。