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Combining metabolic profiling of plasma and faeces as a fingerprint of insulin resistance in obesity.
Palomino-Schätzlein, Martina; Mayneris-Perxachs, Jordi; Caballano-Infantes, Estefanía; Rodríguez, Maria Arnoriaga; Palomo-Buitrago, María-Encarnación; Xiao, Xingpeng; Mares, Roso; Ricart, Wilfredo; Simó, Rafael; Herance, José Raul; Fernández-Real, José-Manuel.
Afiliação
  • Palomino-Schätzlein M; Servicio de RMN, Centro de Investigación Príncipe Felipe, Valencia, Spain.
  • Mayneris-Perxachs J; CIBER de la Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Diabetes, Endocrinology and Nutrition (UDEN), Institut d'Investigació Biomédica de Girona (IDIBGI), Girona, Spain.
  • Caballano-Infantes E; CIBER de la Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Diabetes, Endocrinology and Nutrition (UDEN), Institut d'Investigació Biomédica de Girona (IDIBGI), Girona, Spain.
  • Rodríguez MA; CIBER de la Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Diabetes, Endocrinology and Nutrition (UDEN), Institut d'Investigació Biomédica de Girona (IDIBGI), Girona, Spain.
  • Palomo-Buitrago ME; Department of Diabetes, Endocrinology and Nutrition (UDEN), Institut d'Investigació Biomédica de Girona (IDIBGI), Girona, Spain.
  • Xiao X; Medical Molecular Imaging Research Group, Autonomous University of Barcelona, Vall d'Hebron Research Institute, ISCIII, CIBBIM-Nanomedicine, CIBER-BBN, Barcelona, Spain.
  • Mares R; Medical Molecular Imaging Research Group, Autonomous University of Barcelona, Vall d'Hebron Research Institute, ISCIII, CIBBIM-Nanomedicine, CIBER-BBN, Barcelona, Spain.
  • Ricart W; Department of Diabetes, Endocrinology and Nutrition (UDEN), Institut d'Investigació Biomédica de Girona (IDIBGI), Girona, Spain.
  • Simó R; Diabetes and Metabolism Research Unit, Autonomous University of Barcelona, Barcelona, Spain; Department of Endocrinology, Vall d'Hebron Research Institute, Instituto de Salud Carlos III (ISCIII), CIBERDEM, Barcelona, Spain.
  • Herance JR; Medical Molecular Imaging Research Group, Autonomous University of Barcelona, Vall d'Hebron Research Institute, ISCIII, CIBBIM-Nanomedicine, CIBER-BBN, Barcelona, Spain. Electronic address: raul.herance@vhir.org.
  • Fernández-Real JM; CIBER de la Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Diabetes, Endocrinology and Nutrition (UDEN), Institut d'Investigació Biomédica de Girona (IDIBGI), Girona, Spain. Electronic address: jmfreal@idibgi.org.
Clin Nutr ; 39(7): 2292-2300, 2020 07.
Article em En | MEDLINE | ID: mdl-31708234
ABSTRACT
BACKGROUND &

AIMS:

Insulin resistance (IR) is one of the main risk factor for type 2 diabetes mellitus (T2DM). Nevertheless, its underlying pathophysiology is not completely established because IR is triggered by a complex interconnection of numerous factors impairing metabolism, promoting metabolome changes.

METHODS:

We used a metabolomics approach to identify plasma and faecal metabolites related to IR and obesity. We explored a cohort of 44 subjects at baseline, with 30 of them followed two years thereafter in a longitudinal study after an hypocaloric diet in the obese subjects.

RESULTS:

In all individuals as a whole, 11 plasma metabolites positively associated with BMI (acetoacetate, creatinine, glycerol, glycerol of lipids, VLDL, fatty esters, myo-inositol, phenylalanine, threonine, tyrosine and valine) and one negatively (phosphocholine), with similar associations at baseline and follow-up. Four of these metabolites (myo-inositol, valine, acetoacetate and phosphocholine) remained significant within obese and non-obese groups. Thirteen faecal metabolites positively associated with BMI at baseline and one negatively (glutamine). However, these correlations did not remain significant at follow-up. The correlations were not always consistent at baseline and at follow-up and the metabolites that showed significant correlations were different for the obese group compared with the control group. The percent change in plasma Δethanolamine, Δglucose, Δuracil and Δhypoxanthine were positively associated with ΔBMI. The percent change in plasma Δphosphocholine and of faecal Δhydroxyphenylacetate, and Δ2-hydroxyphenylacetate were associated with ΔHOMA-IR in those patients that lost weight. Faecal branched chain amino acids (BCAAs) in faeces were associated with IR, following a similar pattern to that described for plasma BCAAs. Choline derivates had an opposite behaviour.

CONCLUSIONS:

The integration of plasma and faecal metabolites represents a valuable fingerprint that could help in the identification of patients at risk for IR and in the design of novel therapeutic strategies to prevent IR and the development of overt T2DM in the context of obesity. The results are coherent with diet having a much greater impact on faecal metabolomic profile than on plasma metabolome.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article