Articles producció científicaMedicina i Cirurgia

Fecal Short-Chain Fatty Acids to Predict Prediabetes and Type 2 Diabetes Risk: An Exploratory Cross-Sectional Study.

  • Identification data

    Identifier:  imarina:9466633
    Authors:  Puig R; Rojo-López MI; Julve J; Castelblanco E; Ponomarenko J; Amézqueta S; Vendrell J; Franch-Nadal J; Torres JL; Mauricio D; Ramos-Romero S
    Abstract:
    Background/Objectives: Gut microbiota is profoundly influenced by dysglycemic states, including prediabetes (preDM) and type 2 diabetes (T2D). Although short-chain fatty acids (SCFAs) may serve as proxies reflecting these microbial changes, their predictive role remains elusive. This study aimed to evaluate the association between fecal SCFA concentrations and glycemic status (preDM and T2D), using individuals with normoglycemia (NonDM) as the reference group in a Mediterranean adult population. Methods: This study included a total of 88 participants from the Di@bet.es study who were classified into three groups according to the American Diabetes Association criteria: NonDM (45%), preDM (27%), and T2D (28%), respectively. We evaluated gut microbiota populations through massive sequencing and determined SCFAs concentration using gas chromatography-mass spectrometry. Adjusted multiple logistic regression models were used to estimate associations between SCFAs and metabolic status. Results: The mean age of subjects with preDM and T2D was approximately 68 years, older than that of NonDM participants (about 60 years). About 50% of the subjects in the NonDM and preDM groups were female, whereas in the T2D group, females represented about 25%. The analysis revealed that only fecal acetic acid was significantly reduced in T2D compared to NonDM (p = 0.036) and preDM (p = 0.018) groups. Remarkably, fecal acetic acid was negatively associated with T2D risk when taking preDM as the reference state (OR = 0.561 [95% CI: 0.371-0.846], p = 0.009). Intriguingly, fecal acetic acid was identified as a significant positive predictor of preDM risk, taking the NonDM group as reference (OR = 1.422; p = 0.028), while propionic acid was inversely associated with preDM (OR = 0.714; p = 0.028). Conclusions: Our analysis showed that fecal acetic acid levels were associated with a reduced risk of T2D but also with an increased risk of preDM; however, the biological relevance of these findings remains uncertain.
  • Others:

    Link to the original source: https://www.mdpi.com/2072-6643/17/18/3003
    APA: Puig R; Rojo-López MI; Julve J; Castelblanco E; Ponomarenko J; Amézqueta S; Vendrell J; Franch-Nadal J; Torres JL; Mauricio D; Ramos-Romero S (2025). Fecal Short-Chain Fatty Acids to Predict Prediabetes and Type 2 Diabetes Risk: An Exploratory Cross-Sectional Study.. Nutrients, 17(18), 3003-. DOI: 10.3390/nu17183003
    Paper original source: Nutrients. 17 (18): 3003-
    Article's DOI: 10.3390/nu17183003
    Journal publication year: 2025-09-19
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2025-10-11
    URV's Author/s: Vendrell Ortega, Juan José
    Department: Medicina i Cirurgia
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Puig R; Rojo-López MI; Julve J; Castelblanco E; Ponomarenko J; Amézqueta S; Vendrell J; Franch-Nadal J; Torres JL; Mauricio D; Ramos-Romero S
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Zootecnia / recursos pesqueiros, Saúde coletiva, Química, Psicología, Planejamento urbano e regional / demografia, Nutrition and dietetics, Nutrition & dietetics, Nutrição, Medicina veterinaria, Medicina iii, Medicina ii, Medicina i, Interdisciplinar, Food science, Farmacia, Engenharias iv, Engenharias ii, Enfermagem, Educação física, Economia, Ciências biológicas iii, Ciências biológicas ii, Ciências biológicas i, Ciências agrárias i, Ciência de alimentos, Biotecnología
    Author's mail: jvortega@iispv.cat
  • Keywords:

    Scfa profiles
    Risk factors
    Prediabetic state
    Middle aged
    Microbial metabolites
    Metabolic risk factors
    Male
    Humans
    Gut microbiota
    Gastrointestinal microbiome
    Female
    Feces
    Fatty acids
    volatile
    Dysglycemia
    Dietary intake
    Diabetes mellitus
    type 2
    Cross-sectional studies
    Clinical studies
    Blood glucose
    Aged
    Adult
    Food Science
    Nutrition & Dietetics
    Nutrition and Dietetics
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Planejamento urbano e regional / demografia
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Farmacia
    Engenharias iv
    Engenharias ii
    Enfermagem
    Educação física
    Economia
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
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