Brucella spp. are facultative intracellular bacterial pathogens responsible for brucellosis, a worldwide zoonosis that causes abortion in domestic animals and chronic febrile disease associated with serious complications in humans. There is currently no approved vaccine against human brucellosis, and antibiotic therapy is long and costly. Development of a safe protective vaccine requires a better understanding of the roles played by components of adaptive immunity in the control of Brucella infection. The importance of lymphocyte subsets in the control of Brucella growth has been investigated separately by various research groups and remains unclear or controversial. Here, we used a large panel of genetically deficient mice to compare the importance of B cells, transporter associated with antigen processing (TAP-1), and major histocompatibility complex class II-dependent pathways of antigen presentation as well as T helper 1 (Th1), Th2, and Th17-mediated responses on the immune control of Brucella melitensis 16 M infection. We clearly confirmed the key function played by gamma interferon (IFN-γ)-producing Th1 CD4(+) T cells in the control of B. melitensis infection, whereas IFN-γ-producing CD8(+) T cells or B cell-mediated humoral immunity plays only a modest role in the clearance of bacteria during primary infection. In the presence of a Th1 response, Th2 or Th17 responses do not really develop or play a positive or negative role during the course of B. melitensis infection. On the whole, these results could improve our ability to develop protective vaccines or therapeutic treatments against brucellosis.
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http://dx.doi.org/10.1128/IAI.00761-12 | DOI Listing |
BMC Microbiol
January 2025
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Human brucellosis is a re-emerging disease in Sichuan Province, China. In this study, bacteriology, conventional bio-typing, multi-locus sequence typing (MLST), and multiple locus variable-number tandem repeat analysis (MLVA) were applied to preliminarily characterize the strains in terms of genetic diversity and epidemiological links. A total of 101 Brucella strains were isolated from 16 cities (autonomous prefectures) from 2014 to 2021, and all of the strains were identified as Brucella melitensis bv.
View Article and Find Full Text PDFCurr Microbiol
January 2025
Razi Vaccine and Serum Research Institute (RVSRI), Agricultural Research, Education and Organization (AREEO), Karaj, Iran.
Brucella spp. is the bacterium responsible for brucellosis, a zoonotic infection that affects humans. This disease poses significant health challenges and contributes to poverty, particularly in developing countries.
View Article and Find Full Text PDFVet Med Sci
January 2025
Department of Microbiology, Faculty of Veterinary and Animal Science, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Background: Brucellosis is a zoonotic disease caused by Brucella spp., affecting various animals and humans, leading to significant economic and public health impacts. Traditional diagnostic methods, mainly serological, often fail to detect seronegative carriers, which continue to spread the infection.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
College of Animal Science and Technology, Shihezi University, Shihezi, China. Electronic address:
Pyroptosis, which is accompanied by inflammatory responses, is critical for pathogen clearance. However, the mechanism through which Brucella evades host pyroptosis remains unclear. The transcriptional regulator ArsR6 maintains bacterial intracellular homeostasis and possibly influences host cell death.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Human brucellosis remains a significant public health issue in the Ili Kazak Autonomous Prefecture, Xinjiang, China. To assist local Centers for Disease Control and Prevention (CDC) in promptly formulate effective prevention and control measures, this study leveraged time-series data on brucellosis cases from February 2010 to September 2023 in Ili Kazak Autonomous Prefecture. Three distinct predictive modeling techniques-Seasonal Autoregressive Integrated Moving Average (SARIMA), eXtreme Gradient Boosting (XGBoost), and Long Short-Term Memory (LSTM) networks-were employed for long-term forecasting.
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