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Abstract Number: 0077

Transformer-based multi-omics study identifies important role of glycine, serine and threonine metabolism pathway in rheumatoid arthritis complicated by anemia

Fanxin zeng1, Jianxin Huang2, Yuanli Wei3, Dongmei Wang3, Jianghua Chen4, Congcong Jian1, Xiaoting Zhu5, Shilin Li5, Jie Zhang5, Tingting Wang3, Caizhen Liu6, Lingli Wei3, Jing Gao3, Jing Zhu7, Qinghua Zou8 and Jianhong Wu3, 1Departmant of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Central Hospital; Medical School, Sichuan University of Arts and Sciences; School of Basic Medical Science, Chengdu University of Traditional Chinese Medicine, Dazhou, China (People's Republic), 2Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, China (People's Republic), 3Department of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, China (People's Republic), 4Dazhou Vocational College of Chinese Medicine, Dazhou, China (People's Republic), 5Departmant of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Central Hospital, Dazhou, China (People's Republic), 6Department of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, 7Department of Rheumatology and Immunology, Sichuan Provincial People's Hospital, Chengdu, China (People's Republic), 8Department of Rheumatology and Immunology, First Affiliated Hospital of Army Medical University, Chongqing, China (People's Republic)

Meeting: ACR Convergence 2025

Keywords: Bioinformatics, Comorbidity, rheumatoid arthritis

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Session Information

Date: Sunday, October 26, 2025

Title: (0067–0097) Rheumatoid Arthritis – Etiology and Pathogenesis Poster

Session Type: Poster Session A

Session Time: 10:30AM-12:30PM

Background/Purpose: Anemia is a prevalent hematologic complication of rheumatoid arthritis (RA) that exacerbates the disease process and severely impacts clinical performance and treatment strategies. We propose to explore the potential molecular changes in RA complicated by anemia (RA_ane) based on transformer architecture and comprehensive multi-omics analysis.

Methods: This study recruited 257 RA patients, 113 controls, and disease comparison groups including 88 systemic lupus erythematosus (SLE) and 37 gout patients. Their plasma samples were collected for metabolomics sequencing, fecal samples for 16S rRNA sequencing, and peripheral blood mononuclear cells were used for transcriptomics, proteomics and phosphoproteomics studies. The transformer architecture and difference analysis were used to obtain overlapping difference features, and 5 machine learning algorithms ( k-nearest neighbor algorithm [KNN], support vector machine [SVM], random forest [RF], recursive feature elimination-RF [RFE-RF], and eXtreme gradient boosting algorithm [XGBoost]) were further used to perform significant feature screening and construct clinical diagnostic models.

Results: By integrating the results of the above characterization screen, L-tryptophan, glyceric acid, L-malic acid, ALAS2, CA1, SELENBP1, and RPIA were identified as key biomarkers of RA_ane. Further functional enrichment analyses revealed the core role of the glycine, serine and threonine metabolism (GSTM) pathway in RA_ane and were validated by functional enrichment analyses in other dimensions of multi-omics, in addition to metabolomics and microbiomics analyses of SLE and gout, which indicated that alterations in the GSTM pathway are RA_ane-specific features. Subsequently, we developed and validated multi-omics diagnostic models for RA_ane patients with AUC values ranging from 0.75 to 0.84, and finally, we constructed a molecular map of GSTM-based multidimensional changes in the RA_ane population.

Conclusion: This study demonstrated that GSTM pathway plays a crucial role in RA_ane, shedding light on potential therapeutic interventions.


Disclosures: F. zeng: None; J. Huang: None; Y. Wei: None; D. Wang: None; J. Chen: None; C. Jian: None; X. Zhu: None; S. Li: None; J. Zhang: None; T. Wang: None; C. Liu: None; L. Wei: None; J. Gao: None; J. Zhu: None; Q. Zou: None; J. Wu: None.

To cite this abstract in AMA style:

zeng F, Huang J, Wei Y, Wang D, Chen J, Jian C, Zhu X, Li S, Zhang J, Wang T, Liu C, Wei L, Gao J, Zhu J, Zou Q, Wu J. Transformer-based multi-omics study identifies important role of glycine, serine and threonine metabolism pathway in rheumatoid arthritis complicated by anemia [abstract]. Arthritis Rheumatol. 2025; 77 (suppl 9). https://acrabstracts.org/abstract/transformer-based-multi-omics-study-identifies-important-role-of-glycine-serine-and-threonine-metabolism-pathway-in-rheumatoid-arthritis-complicated-by-anemia/. Accessed .
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