Enhancing Partner Nation Security: A Mixed-Methods Evaluation of A Peacekeeping Public Health Capacity Building Initiative.

INTRODUCTION: One way the U.S. Department of Defense (DoD) works to achieve national security is through security cooperation, by way of building and enhancing partner nation capacity. This study evaluated a health-related security cooperation training initiative delivered by the DoD to military peacekeepers. The study specifically examined outcomes of change, including the beginning phase of sustainability. MATERIALS AND METHODS: The U.S. DoD employed a train-the-trainer model in Ghana, Rwanda, Senegal, and Uganda to support the African Peacekeeping Rapid Response Partnership program. U.S. instructors trained 192 peacekeepers through 11 training iterations between December 2016 and March 2020. A mixed-method explanatory sequential design was used to explore training outcomes. Quantitatively, three hypotheses were tested using nonparametric statistical analysis. Qualitative analysis of documents was used to inform and contextually understand the quantitative results. This study was submitted to the George Washington University Institutional Review Board and was fully approved (NCR202918). RESULTS: Quantitative and qualitative results indicated improved short-term public health knowledge and upskill among partner nation participants. There was the beginning of a cascade effect of the partner nations' ability to autonomously teach tasks and skills to their military to sustain the initiative. Differences in achieving and maintaining change outcomes were related to student characteristics, the training course, and the partner nation. CONCLUSIONS: This research serves as the first published study to empirically examine health-related security cooperation train-the-trainer initiative change outcomes. This research is an essential building block to empirically evaluate and capture change outcomes from security cooperation capacity building training initiatives. The findings and recommendations inform security cooperation policy and associated investments.

Gene Expression Patterns Associated With Histopathology in Toxic Liver Fibrosis.

Toxic industrial chemicals induce liver injury, which is difficult to diagnose without invasive procedures. Identifying indicators of end organ injury can complement exposure-based assays and improve predictive power. A multiplexed approach was used to experimentally evaluate a panel of 67 genes predicted to be associated with the fibrosis pathology by computationally mining DrugMatrix, a publicly available repository of gene microarray data. Five-day oral gavage studies in male Sprague Dawley rats dosed with varying concentrations of 3 fibrogenic compounds (allyl alcohol, carbon tetrachloride, and 4,4'-methylenedianiline) and 2 nonfibrogenic compounds (bromobenzene and dexamethasone) were conducted. Fibrosis was definitively diagnosed by histopathology. The 67-plex gene panel accurately diagnosed fibrosis in both microarray and multiplexed-gene expression assays. Necrosis and inflammatory infiltration were comorbid with fibrosis. ANOVA with contrasts identified that 51 of the 67 predicted genes were significantly associated with the fibrosis phenotype, with 24 of these specific to fibrosis alone. The protein product of the gene most strongly correlated with the fibrosis phenotype PCOLCE (Procollagen C-Endopeptidase Enhancer) was dose-dependently elevated in plasma from animals administered fibrogenic chemicals (P < .05). Semiquantitative global mass spectrometry analysis of the plasma identified an additional 5 protein products of the gene panel which increased after fibrogenic toxicant administration: fibronectin, ceruloplasmin, vitronectin, insulin-like growth factor binding protein, and α2-macroglobulin. These results support the data mining approach for identifying gene and/or protein panels for assessing liver injury and may suggest bridging biomarkers for molecular mediators linked to histopathology.