Pro- and anti-inflammatory cytokines mediate the progression of severe anemia in malaria-infected children: A prospective study.

BACKGROUND: Severe Plasmodium falciparum malarial anemia is still the principal cause of death in children in underdeveloped countries. An imbalance between proinflammatory and anti-inflammatory cytokines is associated with malaria progression. This study evaluated circulating levels of selected inflammatory cytokines among malaria-infected children in Ghana. METHODS: This case-control study was conducted at Tamale Teaching Hospital, Ghana. One hundred and twenty children with malaria and 60 controls, aged 12-144 months were selected from April to July, 2023 for the study. Malaria was diagnosed through microscopy, full blood count was measured using hematology analyzer, and cytokines were measured using enzyme-linked immunosorbent assay. RESULTS: Malaria-infected children had higher tumor necrosis factor alpha (TNF-α) (p < .001), interferon-gamma (IFN-É£) (p < .001), interleukin (IL)-1ß (p < .001), IL-6 (p < .001), granulocyte macrophage-colony stimulating factor (GM-CSF) (p < .001), and IL-10 (p < .001) levels than controls. Participants with high parasitemia had raised TNF-α (p < .001), IFN-É£ (p < .001), IL-1ß (p < .001), IL-6 (p < .001), GM-CSF (p < .001), and IL-10 (p < .001), but reduced IL-3 (p < .001) and TGF-ß (p < .001) than those with low parasitemia. Severe malarial anemic children had elevated TNF-α (p < .001), IFN-É£ (p < .001), IL-1ß (p < .001), IL-6 (p < .001), GM-CSF (p < .001), and IL-10 (p < .001), but lower IL-3 (p < .001) and TGF-ß (p < .001) than those with uncomplicated malaria. CONCLUSION: Parasite density was the principal predictor of the cytokine levels, as parasitemia positively associated with IL-10, GM-CSF, IL-6, IL-1ß, IFN-É£, and TNF-α, but negatively associated with IL-3 and TGF-ß. Malaria is associated with enhanced secretion of pro- and anti-inflammatory cytokines in Ghanaian children. Inflammatory cytokines may be involved in the development of severe malarial anemia in children. However, IL-3 and TGF-ß may offer protection against severe malarial anemia.

Receptors expressions on peripheral lymphocytes and CD4+ CD183+ as a diagnostics biomarker for rheumatoid arthritis: A case-control study in Ghana.

BACKGROUND: T cell receptors play important roles in the development and progression of rheumatoid arthritis (RA). Their involvement has been reported in inflammatory autoimmune diseases. However, their role in predicting RA is still under exploration. This study evaluated the expression of CD183 (CXCR3) receptors on T-cells and other relevant biomarkers for detecting RA and determine their relationship with disease activity. METHODS: This unmatched case-control study included 48 newly diagnosed RA patients and 30 apparent healthy controls from the orthopedic units of Komfo Anokye Teaching Hospital (KATH), Kumasi and Korle-Bu Teaching Hospital (KBTH), Accra, Ghana. Sociodemographic data was obtained, and blood samples were also collected and processed for flow cytometric analysis. Statistical analyses were done using SPSS version 26.0 and R programming language. p < .05 was considered statistically significant. RESULTS: This study found a significant difference in age group (p < .0001), marital status (p = .0210), occupation (p = .0140), educational level (p = .0210) and religion (p = .0100) between RA patients and healthy controls. Moreover, hemoglobin level (p = .0010), waist circumference (p < .0001) and hip circumference (p = .0040) were significantly different between RA patients and controls. RA patients had significantly lower levels of CD4+ CD183+ compared with the control group (p < .001), and was positively correlated with DAS score (r = .0397, p = .789). In Receiver Operator Characteristics analysis, CD4+ CD183+ could significantly detect RA with a high area under the curve (AUC = 0.687, p = .018). At a cut-off of 0.082, CD4+ CD183+ was the best receptor biomarker for detecting RA with a sensitivity of 90.0%, specificity of 25.9%, a positive predictive value of 69.2%, and a negative predictive value of 58.3%. CONCLUSION: CD4+ CD183+ best predict RA and is positively correlated with disease activity. CD4+ CD183+ could serve as diagnostics and disease-monitoring biomarker for RA; however, it demonstrates low specificity. Future studies should be directed on CD4+ CD183+ and other biomarkers to augment their diagnostics performances and routine management in RA.