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The cystic fibrosis gut microbial dysbiosis index (CF-GMDI): a quantitative measure of gut microbial imbalance in children with cystic fibrosis
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The cystic fibrosis gut microbial dysbiosis index (CF-GMDI): a quantitative measure of gut microbial imbalance in children with cystic fibrosis

Journal of Cystic Fibrosis·September 3Open Access
Respiratory SystemPractice changingCystic FibrosisGut DysbiosisObservational Cohort Study With ValidationCFTR ModulatorPediatricTrikaftaElexacaftor/Tezacaftor/Ivacaftor

Summary

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What was studied

Development and validation of the CF Gut Microbial Dysbiosis Index (CF-GMDI), a species-level metagenomic index, to quantify gut microbial imbalance in children with CF (ages 0–18 years) vs. healthy controls, and to assess its responsiveness to Elexacaftor/Tezacaftor/Ivacaftor (ETI) therapy.

Key findings

CF-GMDI was significantly higher in children with CF vs. healthy controls (p < 0.001), inversely correlated with species richness (ρ = −0.74, p < 0.001), higher in pancreatic-insufficient vs. pancreatic-sufficient CF (p = 0.01), and decreased significantly at 6 and 12 months post-ETI treatment — while standard alpha diversity metrics showed no change.

Study limitations

Index was derived from a single cohort (PEARL-CF; n=70 CF, 67 controls; ages 0–6) and validated in one independent cohort (EARTH; n=56 CF, 56 controls); ETI responsiveness was assessed using publicly available data, not a purpose-designed trial. Age range of derivation cohort (0–6 years) is narrower than the validation cohort (0–18 years), which may affect generalizability.

Clinical implications

CF-GMDI may serve as a more sensitive and CF-specific endpoint than standard diversity metrics for tracking gut microbiome changes in clinical trials, particularly for CFTR modulator therapies like ETI. Clinicians and researchers designing CF intervention studies should consider this index as a standardised, reproducible gut health measure.

Caveats

  • Sample size of n=344 is an estimate summing all participants across three cohorts (PEARL-CF derivation: 70 CF + 67 HC; EARTH validation: 56 CF + 56 HC; ETI study: 39 CF); actual total may differ due to potential overlap or exclusions not specified in the abstract. The ETI responsiveness analysis relied on publicly available external data, not a prospectively designed arm, which limits causal inference. Study design label 'Observational Cohort Study with Validation' is an approximation; the paper combines index derivation, external validation, and secondary data analysis across three distinct datasets.
  • The impact_flag 'practice_changing' is applied cautiously — the CF-GMDI is a novel research metric not yet in clinical use, but its superiority over alpha diversity for detecting ETI-driven microbiome shifts may influence trial design and endpoint selection.

Related Questions

Explore related topics

How does ETI therapy affect gut microbiome composition in children with cystic fibrosis?What gut microbiome metrics best predict clinical outcomes in pediatric cystic fibrosis?How does pancreatic insufficiency influence gut dysbiosis in children with cystic fibrosis?

Publication Details

Year
2026
Journal
Journal of Cystic Fibrosis
Sample Size
n=344
Source
View article
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