4.6 Article

Are the Bacteria and Their Metabolites Contributing for Gut Inflammation on GSD-Ia Patients?

期刊

METABOLITES
卷 12, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/metabo12090873

关键词

glycogen storage disease; inflammation; short-chain fatty acids; gut microbiota; dysbiosis; fecal pH

资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq), Fundacao de Amparo a Pesquisa do Estado do Rio Grande do Sul (FAPERGS)EDITAL PRONEX FAPERGS/CNPq [12/2014, 16/2551-0000492-7]
  2. Fundo de Incentivo a Pesquisa e Eventos do Hospital de Clinicas de Porto Alegre (FIPE-HCPA) [20150218, 20190457]
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brasil (CAPES) [001]

向作者/读者索取更多资源

In this study, the fecal metabolites of GSD patients were measured and compared to healthy controls. The results showed higher levels of succinic acid in GSD patients, while no significant differences were observed for other metabolites. Fecal pH was found to be inversely correlated with lactic acid, and certain microbial structures were affected by propionic and lactic acid. Overall, there were no correlations between short-chain fatty acids and carbohydrate consumption.
Recently, patients with glycogen storage disease (GSD) have been described as having gut dysbiosis, lower fecal pH, and an imbalance in SCFAs due to an increase in acetate and propionate levels. Here, we report the fecal measurement of bacterial-related metabolites formic, acetic, lactic, propionic, and succinic acid, a key metabolite of both host and microbiota, on a previously described cohort of 24 patients (GSD Ia = 15, GSD Ib = 5, 1 GSD III =1 and GSD IX = 3) and 16 healthy controls, with similar sex and age, using the high-performance liquid chromatography technique. The succinic acid levels were higher in the GSD patients than in the controls (patients = 38.02; controls = 27.53; p = 0.045), without differences between the groups for other metabolites. Fecal pH present inverse correlation with lactic acid (R = -0.54; p = 0.0085), while OTUs were inversely correlated with both lactic (R = -0.46; p = 0.026) and formic (R = -0.54; p = 0.026) acids. Using two distinct metrics of diversity, borderline significance was obtained for propionic acid, affecting the microbial structure on Euclidean basis in 8% (r(2) = 0.081; p = 0.079), and for lactic acid, affecting 6% of microbial structure using Bray-Curtis distance (r(2) = 0.065; p = 0.060). No correlation was found between SCFAs and total carbohydrate consumption among the participants or uncooked cornstarch consumption among the patients.

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