Wu Ruihe, Li Baochen, Su Rui, Liu Xiaoyang, Gao Anqi, Luo Jing, Gao Chong, Li Xiaofeng, Wang Caihong
Department of Rheumatology, the Second Hospital of Shanxi Medical University, Taiyuan, China.
Shanxi Key Laboratory of Immunomicroecology, Taiyuan, Shanxi, China.
Arthritis Res Ther. 2025 Jul 5;27(1):136. doi: 10.1186/s13075-025-03596-7.
Immune imbalance caused by imbalanced helper T(Th)17/regulatory T (Treg) and follicular helper T (Tfh)/follicular regulatory T (Tfr) cells drives the onset of rheumatoid arthritis (RA) fundamentally. Tryptophan (Trp) metabolism is crucial in regulating immune and altered Trp metabolism has been reported in RA. However, the potential of altered Trp metabolites to serve as RA-related biomarkers and their relationship to immune balance in RA remains undetermined.
We explored the Trp metabolic characteristics in RA by comparing the targeted quantitative Trp metabolomics between 29 new-onset RA patients and 19 healthy controls (HCs). The RA-related disease biomarkers from Trp metabolites were identified to construct a classification model through machine learning algorithms. Their association with immune imbalance in RA was analyzed.
Differential analysis exhibited significant alterations in serum Trp metabolites and metabolic pathways between RA and HCs. There were 7 differential metabolites of serum Trp, which were all decreased in RA (P < 0.05). Trp metabolic pathways analysis indicated that the Trp-Kynurenine(Kyn) pathway was downregulated in RA(P < 0.05). And the key enzyme of the Trp-Kyn pathway, indoleamine-2,3-dioxygenase1 (IDO1), was reduced in RA (P < 0.05). Altered Trp metabolites especially those from the Trp-Kyn pathway exhibited a negative correlation with the clinical indicators and autoantibody expression. 4 Trp metabolites from the Trp-Kyn pathway including Trp, xanthurenic acid (XA), cinnabarinic acid (CA) and kynurenic acid (KynA) were identified as RA-related disease biomarkers to construct RA-HC classification model, which exhibited good ability to distinguish RA from HCs (AUC = 0.951, 95%CI = 0.897-1.000) and stratify disease activity of RA. In addition, these Trp-Kyn pathway metabolites were also associated with the immune imbalance of RA. Specifically, reduced Trp and XA were negatively related to the imbalanced Th17/Treg cells, and reduced KynA was negatively associated with the imbalanced Tfh/Tfr cells. And the reduced IDO1 was also negatively correlated to the imbalanced Tfh/Tfr cells.
Altered Trp-Kyn metabolism might contribute to the pathogenesis of RA. We highlighted the association of the Trp-Kyn metabolic pathway with immune imbalance in RA and its potential value in clinical practice, particularly in early diagnosis, disease activity monitoring, and personalized treatment.
辅助性T(Th)17/调节性T(Treg)细胞以及滤泡辅助性T(Tfh)/滤泡调节性T(Tfr)细胞失衡所导致的免疫失衡,从根本上推动了类风湿关节炎(RA)的发病。色氨酸(Trp)代谢在调节免疫方面至关重要,且已有报道称RA患者存在色氨酸代谢改变。然而,色氨酸代谢产物改变作为RA相关生物标志物的潜力及其与RA免疫平衡的关系仍未明确。
我们通过比较29例新发RA患者和19例健康对照(HC)的靶向定量色氨酸代谢组学,探索RA中的色氨酸代谢特征。通过机器学习算法从色氨酸代谢产物中识别出RA相关疾病生物标志物,以构建分类模型。分析它们与RA免疫失衡的关联。
差异分析显示RA患者与HC之间血清色氨酸代谢产物和代谢途径存在显著改变。血清色氨酸有7种差异代谢产物,在RA中均降低(P < 0.05)。色氨酸代谢途径分析表明,RA中色氨酸 - 犬尿氨酸(Kyn)途径下调(P < 0.05)。色氨酸 - 犬尿途径的关键酶吲哚胺 - 2,3 - 双加氧酶1(IDO1)在RA中减少(P < 0.05)。色氨酸代谢产物改变,尤其是色氨酸 - 犬尿途径的代谢产物,与临床指标和自身抗体表达呈负相关。从色氨酸 - 犬尿途径中鉴定出4种色氨酸代谢产物,包括色氨酸、黄尿酸(XA)、朱红酸(CA)和犬尿酸(KynA)作为RA相关疾病生物标志物,构建RA - HC分类模型,该模型具有良好的区分RA与HC的能力(AUC = 0.951,95%CI = 0.897 - 1.000)以及对RA疾病活动进行分层的能力。此外,这些色氨酸 - 犬尿途径代谢产物也与RA的免疫失衡相关。具体而言,色氨酸和XA减少与Th17/Treg细胞失衡呈负相关,KynA减少与Tfh/Tfr细胞失衡呈负相关。并且IDO1减少也与Tfh/Tfr细胞失衡呈负相关。
色氨酸 - 犬尿代谢改变可能参与RA的发病机制。我们强调了色氨酸 - 犬尿代谢途径与RA免疫失衡的关联及其在临床实践中的潜在价值,特别是在早期诊断、疾病活动监测和个性化治疗方面。