Communications biology

Creating a new human-based gut-brain model to support personalized nutrition

Updated

Abstract

Essence

A humanized model suggests colonic can be tested on BBB-proxy cells and may protect them before oxidative stress.

Evidence

An ex vivo-in vitro platform cultured stressed or non-stressed human dermal fibroblasts with serosal fluids from healthy or IBS colonic biopsies after butyrate, fecal fiber fermentation, or control exposures.

Caveat

The BBB component is represented by dermal fibroblasts, and serosal fluids alone did not alter tryptophan transporter gene expression, protein expression, or uptake.

Simplified

Key figures

Fig. 1
Concentrations of six metabolites in from control and treatment exposures
Highlights distinct shifts in short-chain fatty acid levels after infusion and fiber exposure in different sample types
42003_2025_9472_Fig1_HTML
  • Panel A
    Butyrate concentrations before and after butyrate infusion or fiber exposure remain near the physiological carrier-solution level
  • Panel B
    Propionate concentrations are below the physiological carrier-solution level and show slight increases after treatment exposures
  • Panel C
    Acetate concentrations appear near or above the physiological carrier-solution level before treatment and decrease visibly after fiber exposure in samples
  • Panel D
    Isovalerate concentrations remain below the physiological carrier-solution level with minimal change after treatments
  • Panel E
    Valerate concentrations are near the physiological carrier-solution level and show slight increases after treatment exposures
  • Panel F
    Caproate concentrations are above the physiological carrier-solution level before treatment and appear to decrease after butyrate infusion but increase after fiber exposure
Fig. 2
Gene expression of the tryptophan transporter subunit under various serosal fluid exposures and conditions
Highlights reduced LAT1 gene expression after oxidative stress in serosal fluid-exposed cells versus controls, spotlighting stress response differences.
42003_2025_9472_Fig2_HTML
  • Panel A
    Gene expression after 1 hour exposure to alone across conditions including regular medium (), , healthy controls (, ), IBS controls (, ), and healthy fecal fermentation supernatants (, ); expression levels appear similar across groups with no significant changes.
  • Panel B
    Gene expression after 24 hours exposure to serosal fluids alone in the same conditions as Panel A; expression remains generally stable with no significant differences.
  • Panel C
    Gene expression after 24 hours serosal fluid exposure followed by 1 hour oxidative stress (H2O2); RM and G-Krebs controls show higher expression, while HC-CON, HC-BUT, IBS-CON, IBS-BUT, HC-FERCON, and HC-FERFIB show lower or unchanged expression; several comparisons to G-Krebs are statistically significant.
  • Panel D
    Gene expression after 1 hour oxidative stress followed by 24 hours serosal fluid exposure; expression levels appear variable but no significant differences are indicated.
Fig. 3
Gene expression of the tryptophan transporter subunit under various serosal fluid exposures and conditions
Highlights increased LAT2 gene expression after oxidative stress in healthy serosal fluid conditions versus controls.
42003_2025_9472_Fig3_HTML
  • Panel A
    Gene expression after 1 hour exposure to alone, showing mostly stable levels across all conditions compared to controls and .
  • Panel B
    Gene expression after 24 hours exposure to serosal fluids alone, with some visible increases in and groups compared to controls.
  • Panel C
    Gene expression after 24 hours serosal fluid exposure followed by 1 hour oxidative stress (H2O2), with statistically significant increases in and HC-BUT compared to G-Krebs.
  • Panel D
    Gene expression after 1 hour oxidative stress followed by 24 hours serosal fluid exposure, showing a significant increase in HC-CON compared to G-Krebs.
Fig. 4
Protein expression of the tryptophan transporter under various serosal fluid exposures and conditions
Frames LAT1 protein expression stability across serosal fluid exposures and oxidative stress in modeling
42003_2025_9472_Fig4_HTML
  • Panel A
    LAT1 protein expression after 1 hour exposure to alone across different conditions and controls
  • Panel B
    LAT1 protein expression after 1 hour serosal fluid exposure followed by 1 hour oxidative stress (H2O2)
  • Panel C
    LAT1 protein expression after 1 hour oxidative stress followed by 1 hour serosal fluid exposure
  • Panel D
    LAT1 protein expression after 24 hour exposure to serosal fluids alone
  • Panel E
    LAT1 protein expression after 24 hour serosal fluid exposure followed by 1 hour oxidative stress
  • Panel F
    LAT1 protein expression after 1 hour oxidative stress followed by 24 hour serosal fluid exposure
Fig. 5
Protein expression of the tryptophan transporter under various serosal fluid exposures and conditions
Highlights a significant LAT2 protein increase after oxidative stress treatment with serosal fluid
42003_2025_9472_Fig5_HTML
  • Panel A
    LAT2 protein expression after 1 hour exposure to alone, relative to regular medium () and controls
  • Panel B
    LAT2 protein expression after 1 hour serosal fluid exposure as a preventive measure before 1 hour oxidative stress (H2O2), relative to RM and G-Krebs controls
  • Panel C
    LAT2 protein expression after 1 hour oxidative stress (H2O2) followed by 1 hour serosal fluid treatment, with a statistically significant increase in HC-FERCON compared to G-Krebs control
  • Panel D
    LAT2 protein expression after 24 hour exposure to serosal fluids alone, relative to RM and G-Krebs controls
  • Panel E
    LAT2 protein expression after 24 hour serosal fluid exposure followed by 1 hour oxidative stress (H2O2), relative to RM and G-Krebs controls
  • Panel F
    LAT2 protein expression after 1 hour oxidative stress (H2O2) followed by 24 hour serosal fluid treatment, relative to RM and G-Krebs controls
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Full Text

What this is

  • This research develops a novel model to study the using human-derived materials.
  • It integrates ex vivo and in vitro techniques to assess how gut-derived metabolites affect the blood-brain barrier (BBB).
  • The model aims to enhance understanding of personalized nutrition's impact on gut-brain interactions.

Essence

  • The study presents a humanized model that examines how gut-derived metabolites influence the blood-brain barrier, with potential applications in personalized nutrition.

Key takeaways

  • from human colonic biopsies were used to culture fibroblasts representing the BBB, allowing investigation of gut-derived metabolites' effects on tryptophan uptake.
  • Exposure to did not compromise fibroblast viability and exhibited protective effects against oxidative stress, suggesting potential therapeutic applications.
  • The model allows for personalized assessments by connecting individual gut microbiota profiles with their effects on the BBB and neuroactive compound metabolism.

Caveats

  • The study's sample size was limited, which restricts the generalizability of the findings.
  • The model does not fully replicate the complex microenvironment of the BBB, which may affect the accuracy of the results.

Definitions

  • gut-brain axis: The bidirectional communication system between the gastrointestinal tract and the central nervous system.
  • serosal fluids: Fluids collected from the serosal side of the intestine that may contain metabolites affecting gut-brain signaling.

Simplified

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