a. The First Affiliated Hospital of Shandong First Medical University, Shandong First Medical University, Jinan, 250014, China;
b. Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China;
c. First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China;
d. Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250022, China;
e. Shandong Agricultural University, Tai'an, Shandong, 271018, China;
f. China Academy of Chinese Medical Sciences, Beijing, 100700, China;
g. Jilin University School of Pharmaceutical Sciences, Changchun, 130021, China
Funds:
This research was financially supported by the National Natural Science Foundation of China (Grant No.: 82202419), the Natural Science Foundation of Shandong Province, China (Grant Nos.: ZR2022QH174, ZR2022MH299, and ZR2021MH166), and the Young Elite Sponsorship Program of Shandong Provincial Medical Association, China (Grant No.: 2023_LC_0139).
Worldwide, rheumatoid diseases account for approximately 37.57/100,000 disability-adjusted life years (DALYs). Early diagnosis of rheumatoid arthritis (RA) can effectively reduce associated risks and improve quality of life. To achieve this, accurate and rapid advanced tools are required. Herein, TiVCrMoC3, a novel high-entropy two-dimensional (2D) carbide MXene that exhibits excellent electrical conductivity, is prepared and applied to surface-assisted laser desorption ionization mass spectrometry (SALDI-MS) analysis for the first time. TiVCrMoC3 demonstrates superior performance in small-molecule detection compared with typical inorganic and organic substrates. Moreover, its exhibits ultrahigh sensitivity (limit of detection (LOD) at the 10 pg/mL level), excellent repeatability (coefficient of variation (CV) <4%), excellent quantitative detection capability (coefficient of determination = 0.99987), clean background, and broad analyte coverage. Results showed that TiVCrMoC3-assisted laser desorption ionization mass spectrometry (LDI-MS) is efficient in screening RA diseases, with the advantages of high throughput and low cost. It enables accurate and quantitative analysis of various low-concentration metabolites in 1 μL of biological fluid within seconds. Combined with machine learning, TiVCrMoC3-assisted LDI-MS is used to accurately diagnose multiple RA samples. A total of 8 potential different small-molecule metabolites between individuals with osteoarthritis (OA) and RA were identified based on relative quantification methods, and their associated metabolic changes were discussed. TiVCrMoC3-assisted LDI-MS provides a potential tool for the rapid diagnosis of RA and may pave the way for precision medicine.