Preparation of monoclonal antibodies with high specificity for glycated hemoglobin and establishment of a rapid detection method.
- Author:
Chaofan YIN
1
;
Yingfu ZHANG
2
;
Kebei WANG
3
;
Jichuang WANG
4
;
Yongwei LI
1
;
Xiaojun WANG
2
;
Xudong WANG
2
;
Panpan SHI
5
;
Yunlong WANG
4
Author Information
- Publication Type:Journal Article
- Keywords: HbA1c; HbA1c monoclonal antibody; diabetes; fluorescence immunochromatography; hapten
- MeSH: Antibodies, Monoclonal/biosynthesis*; Animals; Mice; Glycated Hemoglobin/immunology*; Mice, Inbred BALB C; Humans; Antibody Specificity; Chromatography, Affinity/methods*; Enzyme-Linked Immunosorbent Assay/methods*; Female
- From: Chinese Journal of Biotechnology 2025;41(8):3165-3177
- CountryChina
- Language:Chinese
- Abstract: Hemoglobin A1c (HbA1c) has a unique structure that makes monoclonal antibody (mAb) preparation challenging. This study aims to develop a method for preparing HbA1c mAbs and establish a fluorescent immunochromatographic assay (FICA) for rapid detection of HbA1c. Three glycosylated peptides were synthesized and used to prepare complete antigens, which were identified by dot enzyme-linked immunosorbent assay (Dot-ELISA) and ultraviolet absorption spectroscopy. The complete antigens and natural HbA1c were used for cross-immunization of mice, and the optimal complete antigen was selected. The mouse with the highest serum titer was chosen for mAb preparation. The purity and specificity of the mAbs were verified, and a FICA method was developed. The optimal complete antigen, with a titer of 1:512 000, was successfully prepared and selected. Fusion with splenocytes resulted in four specific HbA1c antibodies (purity > 90%). The best antibody exhibited a binding constant (Ka) of 1.67×1010 L/mol with the antigen. Based on this antibody, a FICA method was successfully established, capable of producing results within 15 min. The method demonstrated a good linear range (3%-13% HbA1c, y=0.071 3x+0.005 6, R2=0.993 7), recovery rates of 98%-102%, precision < 10.00%, and no nonspecific reactions. Clinical testing of 210 samples showed positive agreement of 96.36%, negative agreement of 97.00%, and overall agreement of 96.68%. The receiver operating characteristic (ROC) curve analysis yielded an area under curve (AUC) of 0.980 9 [95% confidence interval (CI): 0.961 0-1.000 0], with high consistency verified in multicenter studies. We successfully developed a key technique for preparing HbA1c monoclonal antibodies and established a FICA method for rapid detection of HbA1c. It will provide an efficient and convenient detection method for the early diagnosis and long-term management of diabetes and its complications.
