Literature DB >> 34821993

Involvement of the fecal amino acid profile in a clinical and anthropometric study of Mexican patients with insulin resistance and type 2 diabetes mellitus.

Mayra Paloma Macías-Acosta1, Lorena Valerdi-Contreras2, Ericka Denise Bustos-Angel3, Rudy Antonio García-Reyes1, Monserrat Alvarez-Zavala4, Marisela González-Ávila5.   

Abstract

The amino acids synthesized by the intestinal microbiota have been correlated with metabolic diseases, such as type 2 diabetes mellitus and insulin resistance; both are high incidence conditions in Mexico. However, the knowledge of the relationship of fecal amino acids with the development of both diseases in the Mexican population is scarce. The clinical study was descriptive; the study was carried out in the Antiguo Civil Hospital of Guadalajara. Samples were taken from a total of 48 participants with insulin resistance, diabetes, and a control group (n = 16 each). Anthropometric and biochemical measures were evaluated. HPLC carried out the quantification of fecal amino acids. A strong correlation between alanine and HOMA-IR (r = 0.5416) was found and between phenylalanine and HOMA-IR (r = 0.4258). Other interesting correlations were between alanine and glucose (r = 0.5854) and isoleucine and glucose (r = 0.5008). The diabetic group and the insulin-resistant group had increased fecal values of valine and isoleucine (branched-chain amino acids), which were positively correlated with the progression of both conditions. Likewise, alanine and phenylalanine can help predict the development of the disease in the Mexican population. Registry number: 037/19.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Keywords:  Fecal amino acids; Fecal branched-chain amino acids; Insulin resistance; Intestinal microbiota; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2021        PMID: 34821993     DOI: 10.1007/s00726-021-03107-3

Source DB:  PubMed          Journal:  Amino Acids        ISSN: 0939-4451            Impact factor:   3.520


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