Gene Expression and Promoter Region Polymorphisms of Interleukin-10 in Meningitis Patients

The combination of cerebrospinal fluid procalcitonin, lactate, interleukin-8 and interleukin-10 concentrations for the diagnosis of postneurosurgical bacterial meningitis: A prospective study

Background

The differential diagnosis between postneurosurgical bacterial meningitis and aseptic meningitis remains challenging both for the clinician and the laboratory. Combinations of markers, as opposed to single ones, may improve diagnosis and thereby survival.

Methods

This prospective cohort study included patients with suspected bacterial meningitis after neurosurgery. The patients were divided into two groups according to the diagnostic criteria of meningitis involving a postneurosurgical bacterial meningitis group and a postneurosurgical aseptic meningitis group. Four biomarkers, including cerebrospinal fluid procalcitonin, lactate, interleukin-8 and interleukin-10 were assayed separately, and three algorithms were constructed using a linear combination. The area under the receiver operating characteristic curve was used to compare their performances.

Results

A cohort of 112 patients was enrolled in our study. Forty-three patients were diagnosed with postneurosurgical bacterial meningitis, and the cerebrospinal fluid values of their biomarkers were higher in patients with postneurosurgical bacterial meningitis than with postneurosurgical aseptic meningitis. The area under the receiver operating characteristic curves for the detection of postneurosurgical bacterial meningitis were 0.803 (95% confidence interval [CI], 0.724–0.883) for procalcitonin; 0.936 (95% CI, 0.895–0.977) for lactate; 0.771 (95% CI, 0.683–0.860) for interleukin-8; 0.860 (95% CI, 0.797–0.929) for interleukin-10; 0.937 (95% CI, 0.897–0.977) for the composite two-marker test; 0.945 (95% CI, 0.908–0.982) for the composite three-marker test and 0.954 (95% CI, 0.922–0.989) for the composite of all tests. The area under the receiver operating characteristic curves of the combination tests were greater than those of the single markers.

Conclusions

Combining information from several markers improved the diagnostic accuracy in detecting postneurosurgical bacterial meningitis.

Genetic susceptibility to meningococcal infection

Meningococcal disease is caused by a limited range of clonal complexes of Neisseria meningitidis. The disease occurs in people who lack bactericidal antibodies to this pathogen, and therefore the patients are reliant on innate immunity or components of acquired immunity other than bactericidal antibodies. Gene variants that influence the function of innate and acquired immune response components have been associated with altered host susceptibility to meningococcal disease, and some genetic factors have also been associated with more severe disease. Identification of genetic factors associated with meningococcal disease will enhance our understanding of this rare but dangerous condition which causes death and serious morbidity in young, previously fit individuals. Genetic variations in the gene cluster encoding IL-1 and in key genes including TNF, SP-A2 and CFH have been associated with susceptibility to meningococcal disease. Understanding the mechanisms underlying genetic susceptibility to meningococcal disease will permit the development of novel therapeutic measures for the treatment of Gram-negative sepsis. To enable the discovery of new mechanisms of the disease, future research will move away from small-scale association studies and instead include analysis of large patient cohorts with accurately linked clinical and demographic information.