Identification of novel biomarkers for adult-onset-immunodeficiency (AOID) syndrome using serum proteomics

Jeerang Wongtrakul; Thananya Thongtan; Sittiruk Roytrakul; Jutarat Praparattanapan; Jiraprapa Wipasa; Benjawan Kumrapich; Khuanchai Supparatpinyo

doi:10.1016/j.apjtm.2017.05.014

Identification of novel biomarkers for adult-onset-immunodeficiency (AOID) syndrome using serum proteomics

Asian Pac J Trop Med. 2017 May;10(5):466-472. doi: 10.1016/j.apjtm.2017.05.014. Epub 2017 May 18.

Authors

Jeerang Wongtrakul¹, Thananya Thongtan², Sittiruk Roytrakul³, Jutarat Praparattanapan⁴, Jiraprapa Wipasa⁵, Benjawan Kumrapich⁵, Khuanchai Supparatpinyo⁴

Affiliations

¹ Research Institute for Health Sciences, Chiang Mai University, 110 Intavaroros Road, Sriphum, Muang District, Chiang Mai 50200, Thailand. Electronic address: jeerang.wongtrakul@cmu.ac.th.
² Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok 10330, Thailand.
³ Proteomics Research Laboratory, Genome Institute, National Center for Genetic Engineering and Biotechnology, 113 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathumthani 12120, Thailand.
⁴ Department of Medicine, Faculty of Medicine, Chiang Mai University, 110 Intavaroros Road, Sriphum, Muang District, Chiang Mai 50200, Thailand.
⁵ Research Institute for Health Sciences, Chiang Mai University, 110 Intavaroros Road, Sriphum, Muang District, Chiang Mai 50200, Thailand.

PMID: 28647184
DOI: 10.1016/j.apjtm.2017.05.014

Abstract

Objective: To identify the candidate protein biomarkers of adult-onset-immunodeficiency (AOID) syndrome using serum proteomics.

Methods: Screening and verification phases were performed in the study. A total of 97 serum samples were classified into three groups: AOID patients with opportunistic infections (active AOID), AOID patients without opportunistic infections (inactive AOID), and healthy control. In the screening phase, pooled sera collected from patients and healthy control in each group were separated by 2D-gel electrophoresis, analyzed for differentially expressed proteins and identified for biomarkers using LC/MS. In the verification phase, the protein candidates were selected for confirmation by western blotting.

Results: The analysis revealed 35 differentially expressed proteins. Three proteins including haptoglobin, gelsolin, and transthyretin, were selected for verification. The results showed that the levels of haptoglobin in both active and inactive AOID groups were significantly higher than that in the control group, while the levels of gelsolin in the active AOID group were significantly lower than that in the inactive AOID group. The level of transthyretin in the active AOID group was also significantly lower than that in the control group.

Conclusions: The comparison of serum proteins between the three groups revealed three candidates which are related to chronic inflammatory diseases. Haptoglobin and transthyretin biomarkers could be applied in clinical assessment for monitor of disease outcome, including for the study of AOID pathogenesis.

Keywords: Adult-onset immunodeficiency syndrome; Anti-interferon-gamma autoantibody; Biomarkers; Gelsolin; Haptoglobin; Transthyretin.