Quantitative analysis of serum-based IgG agalactosylation for tuberculosis auxiliary diagnosis. (9th March 2020)

• Record Type: Journal Article
• Authors: Liu, Peng; Ren, Shifang; Xie, Yan; Liu, Chuangang; Qin, Wenjun; Zhou, Yuanyuan; Zhang, Mingxia; Yang, Qianting; Chen, Xin-chun; Liu, Ting; Yao, Qili; Xiao, Zhen; Gu, Jianxin; Zhang, Xiao-Lian
• Is Part Of: Glycobiology. Volume 30:Number 9(2020)
• Page Start: 746
• Page End: 759
• Publication Date: 2020-03-09
• Subjects: agalacto-IgG -- diagnosis -- mass spectrometry (MS) -- tuberculosis (TB) -- ultraperformance liquid chromatography (UPLC); Glycoproteins -- Periodicals; Glycolipids -- Periodicals; Glycoconjugates -- Periodicals; 572.567
• DOI: 10.1093/glycob/cwaa021
• Languages: English
• ISSNs: 0959-6658

Abstract

Abstract: Tuberculosis (TB) is the leading infectious cause of mortality worldwide, especially in developing countries. However, effective means for TB diagnosis, especially for bacillus-negative (Bn) TB laboratory diagnosis, are urgently needed. In the present study, serum IgG from each tuberculosis patients and healthy controls was purified using affinity chromatography. The samples were then analyzed using mass spectrometry (MS) and ultraperformance liquid chromatography (UPLC) methods. We quantitatively assessed the changes of serum IgG galactosylation in 567 human serum samples including 377 pulmonary TB patients and 190 healthy donors (HDs). We found significantly more agalactosylated (G0) vs monogalactosylated (G1) and digalactosylated (G2) N -glycans of IgG in TB patients, including smear-negative TB patients, than in HDs. The detection rate of TB diagnostic performance by MS for IgG–Gal ratio G0/(G1 + G2 × 2) is 90.48% for bacillus-positive (Bp) and 73.16% for Bn TB patients. Further, combination of MS method with other routine laboratory TB diagnostic methods significantly increased the detection rate to 91.01%–98.39%. Similar results were observed in Mycobacterium tuberculosis ( M. tb ) infection mouse models. The decrease in galactosylation of IgG in TB patients was also qualitatively confirmed using specific lectin blot assay. Using the above techniques, we can discriminate the content of IgG G0 with terminal N -acetylglucosamine and IgG–Gal ratio G0/(G1 + G2 × 2) between TB patients and HDs. Our data suggest that quantitative analysis of serum-based IgG–Gal ratio G0/(G1 + G2 × 2) could be used for TB auxiliary diagnosis with high effectiveness and feasibility and its combination with other routine laboratory TB diagnostic methods could remarkably improve the detection rate.