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1.
Vaccines (Basel) ; 12(5)2024 Apr 24.
Article in English | MEDLINE | ID: mdl-38793703

ABSTRACT

BCG vaccination affects other diseases beyond tuberculosis by unknown-potentially immunomodulatory-mechanisms. Recent studies have shown that BCG vaccination administered during overt type 1 diabetes (T1D) improved glycemic control and affected immune and metabolic parameters. Here, we comprehensively characterized Ghanaian T1D patients with or without routine neonatal BCG vaccination to identify vaccine-associated alterations. Ghanaian long-term T1D patients (n = 108) and matched healthy controls (n = 214) were evaluated for disease-related clinical, metabolic, and immunophenotypic parameters and compared based on their neonatal BCG vaccination status. The majority of study participants were BCG-vaccinated at birth and no differences in vaccination rates were detected between the study groups. Notably, glycemic control metrics, i.e., HbA1c and IDAA1c, showed significantly lower levels in BCG-vaccinated as compared to unvaccinated patients. Immunophenotype comparisons identified higher expression of the T cell activation marker CD25 on CD8+ T cells from BCG-vaccinated T1D patients. Correlation analysis identified a negative correlation between HbA1c levels and CD25 expression on CD8+ T cells. In addition, we observed fractional increases in glycolysis metabolites (phosphoenolpyruvate and 2/3-phosphoglycerate) in BCG-vaccinated T1D patients. These results suggest that neonatal BCG vaccination is associated with better glycemic control and increased activation of CD8+ T cells in T1D patients.

2.
Ghana Med J ; 54(4 Suppl): 71-76, 2020 Dec.
Article in English | MEDLINE | ID: mdl-33976444

ABSTRACT

Across the globe, the outbreak of the COVID-19 pandemic is causing distress with governments doing everything in their power to contain the spread of the novel coronavirus (SARS-CoV-2) to prevent morbidity and mortality. Actions are being implemented to keep health care systems from being overstretched and to curb the outbreak. Any policy responses aimed at slowing down the spread of the virus and mitigating its immediate effects on health care systems require a firm basis of information about the absolute number of currently infected people, growth rates, and locations/hotspots of infections. The only way to obtain this base of information is by conducting numerous tests in a targeted way. Currently, in Ghana, there is a centralized testing approach, that takes 4-5 days for samples to be shipped and tested at central reference laboratories with results communicated to the district, regional and national stakeholders. This delay in diagnosis increases the risk of ongoing transmission in communities and vulnerable institutions. We have validated, evaluated and deployed an innovative diagnostic tool on a mobile laboratory platform to accelerate the COVID-19 testing. A preliminary result of 74 samples from COVID-19 suspected cases has a positivity rate of 12% with a turn-around time of fewer than 3 hours from sample taking to reporting of results, significantly reducing the waiting time from days to hours, enabling expedient response by the health system for contact tracing to reduce transmission and additionally improving case management. FUNDING: Test kits were provided by AngloGold Ashanti Obuasi Mine (AngloGold Ashanti Health Foundation). The American Leprosy Mission donated the PCR machine, and the mobile laboratory van was funded by the Embassy of the Kingdom of the Netherlands (EKN). AAS, YAA was supported by (PANDORA-ID-NET RIA2016E-1609) and ROP supported by EDCTP Senior Fellowship (TMA2016SF), both funded by the European and Developing Countries Clinical Trials Partnership (EDCTP2) programme which is supported under Horizon 2020, the European Union.


Subject(s)
COVID-19 Nucleic Acid Testing/methods , COVID-19/diagnosis , Mobile Health Units , Population Surveillance , SARS-CoV-2/isolation & purification , Adolescent , Adult , Contact Tracing , Disease Transmission, Infectious/prevention & control , Early Diagnosis , Female , Humans , Infection Control/methods , Male , Middle Aged , SARS-CoV-2/genetics , Time Factors , Young Adult
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