Natural history of latent brucellosis and diagnostic performance of B-SPOT: a 24-month prospective cohort study based on large-scale screening in northern China
Year: 2026
Type: article
Study design: Observational Study
Abstract: Whether latent brucellosis exists prior to symptom onset and predisposes individuals to active disease remains to be determined. We established a novel ELISpot method for brucellosis (B-SPOT) based on host-specific immune. Diagnostic efficacy was evaluated in a testing cohort comprising brucellosis and non-brucellosis participants. A large-scale screening, using serum agglutination test (SAT) and B-SPOT for latent brucellosis, was later performed in Kangping, a brucellosis-endemic area in northern China, followed by a 24-month prospective cohort study to observe the natural development of latent brucellosis without any intervention. Among 41 brucellosis and 57 non-brucellosis participants, the sensitivity of B-SPOT for brucellosis was 95.1%, and the specificity was 98.2%, compared to the combination of blood culture and SAT. 2459 residents were screened, and the prevalence of latent brucellosis was 3.3% (81/2459). Among 63 latent brucellosis cases successfully followed, 33.3% (21/63) progressed to acute brucellosis within 2 years, while none in the control group progressed(p < 0.001). 16/21 (76.2%) progressed within the first six months, and 14/21 (66.7%) presented with joint pain as their initial symptom. B-SPOT (10.94[95%CI 2.48–48.33, p = 0.002]) outperformed SAT (3.04[95%CI 1.14–8.01, p = 0.026]) in predicting the progression of latent brucellosis. Latent brucellosis accounts for 3.3% in the endemic area, among whom 33.3% progressed to acute brucellosis within two years. The first six months are a critical window, and joint pain is the primary initial symptom. B-SPOT demonstrates high diagnostic efficacy for brucellosis disease activity and can better predict the progression of latent brucellosis.
Source: Emerging Microbes & Infections
Authors: Hongyu Wang, Yan O. Wang, Guanmin Yuan, Dan Li, Yutong Chen, Yan A. Wang, Quanlin Xue, Jianpeng Cai, Yuhan Sun, Jingjing Zhao, Yulei Sun, Binhuang Sun, Wei Guo, Xiaokun Liu, Hongyan Liu, Jingwen Ai, Wenhong Zhang
Language: English
Subfield: Small Animals
Field: Veterinary
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,643
OpenAlex ID: W7138015541
