4.4 Article

Elevation of serum interleukin-1β levels as a potential indicator for malarial infection and severe malaria: a meta-analysis

Journal

MALARIA JOURNAL
Volume 21, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12936-022-04325-0

Keywords

IL-1 beta; Malaria severity; Severe malaria; Meta-analysis

Funding

  1. Mahidol University, Thailand

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This meta-analysis compared the differences in interleukin (IL)-1 beta levels between patients with severe malaria, patients with uncomplicated malaria, and healthy controls. The results showed that IL-1 beta levels were higher in patients with severe malaria compared to those with uncomplicated malaria, but there was no difference in IL-1 beta levels between patients with uncomplicated malaria and healthy controls. Further studies are needed to determine if IL-1 beta levels can be used to monitor malaria severity.
Background: Interleukin (IL)-1 beta is a proinflammatory cytokine that has a role in disease-related inflammation, including malaria. However, reports on the effect of IL-1 beta on malaria severity are inconsistent. Therefore, meta-analyses to compare differences in IL-1 beta levels between patients with severe malaria, patients with uncomplicated malaria and healthy controls were performed. Methods: The PRISMA standards were used to perform a systematic review and meta-analysis. A search of PubMed, Scopus, EMBASE and reference lists was conducted for articles providing data on IL-1 beta levels between patients with severe malaria, patients with uncomplicated malaria and healthy controls between January 1988 and March 2022, using a combination of search terms. The quality of all studies included in this review was determined using the Strengthening the Reporting of Observational Studies in Epidemiology statement: guidelines for reporting observational studies. The evidence was synthesized quantitatively and qualitatively. The differences in IL-1 levels across participant groups were recounted narratively for qualitative synthesis. For quantitative synthesis, the mean difference in IL-1 beta levels across groups of participants was calculated using a random effects meta-analysis. The publication bias was assessed using funnel plots, Egger's test and a contour-enhanced funnel plot. Results: A total of 1281 articles were discovered, and the 17 that satisfied the inclusion criteria were included for syntheses. The meta-analysis results using data from 555 cases of severe malaria and 1059 cases of uncomplicated malaria showed that severe malaria had a higher mean of IL-1 beta levels than uncomplicated malaria (P < 0.01, pooled mean difference: 1.92 pg/mL, 95% confidence interval: 0.60-3.25 pg/mL, I-2: 90.41%, 6 studies). The meta-analysis results using data from 542 cases of uncomplicated malaria and 455 healthy controls showed no difference in mean IL-1 beta levels between the two groups (P = 0.07, pooled mean difference: 1.42 pg/mL, 95% confidence interval: - 0.1-2.94 pg/mL, I-2: 98.93%, 6 studies). Conclusion: The results from the meta-analysis revealed that IL-1 beta levels were higher in patients with severe malaria than in patients with uncomplicated malaria; however, IL-1 beta levels were similar in patients with uncomplicated malaria and healthy controls. Based on the limitations of the number of studies included in the meta-analysis and high levels of heterogeneity, further studies are needed to conclude that differences in IL-1 beta levels can be useful for monitoring the malaria severity.

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