Effect of the low glutamate diet on inflammatory cytokines in veterans with Gulf War Illness (GWI): A pilot study

Aim: To examine the effects of the low glutamate diet on inflammatory cytokines in veterans with Gulf War Illness (GWI). Main methods: Forty veterans with GWI were recruited from across the country. Anthropometric measurements and blood samples were collected at baseline and after one month on the low glutamate diet. Dietary adherence was measured with a glutamate food frequency questionnaire (FFQ). Inflammatory cytokines (IL-1 beta, IL-6, IFN-gamma, and TNF-alpha) were measured in pre- and post-diet serum (N = 34). Improvement was defined as being much or very much improved on the patient global impression of change scale (PGIC), or as having >= 30% of their symptoms remit. Correlations of the FFQ and the cytokines were calculated, followed by multivariable linear regression for significant findings. Mann Whitney U tests were used to compare cytokine levels according to improvement on the diet, and then logistic regression was used to estimate the association after adjustment for potential confounders. Classification trees were also produced to determine the ability of change in the inflammatory cytokines to predict improvement on the diet. Key findings: Dietary adherence was significantly associated with reduction in TNF-alpha, and PGIC improvement was significantly associated with reduced IL-1 beta, after adjustment for potential confounders. Classification trees demonstrated that IL-1 beta, TNF-alpha, and IL-6 can predict improvement on the diet with 76.5% accuracy. Significance: Findings suggest that the low glutamate diet may be able to reduce systemic inflammation in veterans with GWI.

Automated summary

The study aimed to investigate the effects of a low glutamate diet on inflammatory cytokines in veterans with GWI. Findings showed that dietary adherence was significantly associated with reductions in TNF-alpha, while improvement on the PGIC scale was significantly linked to reduced IL-1 beta. Classification trees demonstrated that IL-1 beta, TNF-alpha, and IL-6 can predict improvement on the diet with 76.5% accuracy.