Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Clinical Research Article
  • Published:

Gut–lung microbial dynamics with lumacaftor/ivacaftor in children with cystic fibrosis: a prospective multicenter study

Abstract

Background

CFTR modulators such as lumacaftor/ivacaftor (LUM/IVA) may reshape microbiota-mycobiota composition in the lungs and gut. While the gut-lung axis is established in other settings, little is known about its role following modulator therapy, particularly in the 2–11 age group.

Methods

In a prospective national multicentre study, 116 children with cystic fibrosis (2–11 years) starting LUM/IVA were followed for 12 months. Stool and sputum were collected at baseline, 3, 6 and 12 months. Bacterial and fungal communities were profiled by 16S rRNA and ITS2 sequencing; diversity, dysbiosis indices, faecal and sputum calprotectin, and gut–lung microbial networks were analysed.

Results

LUM/IVA was associated with increased bacterial diversity and compositional shifts in gut and lung microbiota, alongside a significant reduction in faecal calprotectin. Airway mycobiota diversity remained stable. Two lung microbiome response profiles emerged: “responders” (greater bacterial diversity gain) and “non-responders” (minimal change). Baseline gut and lung composition predicted these profiles with 81% accuracy in a random-forest model. Inter-organ microbial interactions peaked at 3 months after initiation and then diverged between profiles, indicating distinct gut–lung axis remodelling.

Conclusion

LUM/IVA influences gut-lung microbiota-mycobiota dynamics, with heterogeneous responses between paediatric patients. Identifying factors predictive of response is a key future challenge.

Impact

  • In 116 children aged 2–11, lumacaftor/ivacaftor reshaped gut and lung microbiota and reduced fecal calprotectin over 12 months.

  • First pediatric multicenter study integrating bacterial and fungal profiling of stool and sputum with gut–lung network analyses; identifies two distinct lung microbiome response profiles.

  • Baseline gut and lung composition predicted the response profile with approximately 81% accuracy.

  • Highlights a 3-month interaction peak and baseline profiling as practical markers to guide monitoring and microbiome-informed precision care.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Change in lung and gut microbiotas under LUM/IVA therapy.
The alternative text for this image may have been generated using AI.
Fig. 2: Change in faecal calprotectin under LUM/IVA therapy.
The alternative text for this image may have been generated using AI.
Fig. 3: Baseline microbial genera predicting lung microbiota evolution.
The alternative text for this image may have been generated using AI.
Fig. 4: Evolution of the gut-lung interactions under LUM/IVA therapy in “microbiome responders” and “microbiome non-responders”.
The alternative text for this image may have been generated using AI.
Fig. 5: Differential evolution of microbes within the gut-lung interactome between “microbiome responders” and “microbiome non-responders” sub-populations following LUM/IVA therapy.
The alternative text for this image may have been generated using AI.

Similar content being viewed by others

Data availability

All sequencing data are available the European Nucleotide Archive (ENA) of European Bioinformatics Institute (EBI) (https://www.ebi.ac.uk/ena/browser/home) under PRJEB82774. Analysis code available on request.

References

  1. Elborn, J. S. Cystic fibrosis. Lancet Lond. Engl. 388, 2519–2531 (2016).

    Article  CAS  Google Scholar 

  2. Frey, D. L. et al. Relationship between airway dysbiosis, inflammation and lung function in adults with cystic fibrosis. J. Cyst. Fibros. 20, 754–760 (2021).

    Article  CAS  PubMed  Google Scholar 

  3. Wrigley-Carr, H. E., van Dorst, J. M. & Ooi, C. Y. Intestinal dysbiosis and inflammation in cystic fibrosis impacts gut and multi-organ axes. Med Microecol. 13, 100057 (2022).

    Article  Google Scholar 

  4. Caley, L. R. et al. Cystic fibrosis-related gut dysbiosis: a systematic review. Dig. Dis. Sci. 68, 1797–1814 (2023).

    Article  CAS  PubMed  Google Scholar 

  5. Hoen, A. G. et al. Associations between gut microbial colonization in early life and respiratory outcomes in cystic fibrosis. J. Pediatr. 167, 138–147.e1-3 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Coffey, M. J. et al. Gut microbiota in children with cystic fibrosis: a taxonomic and functional dysbiosis. Sci. Rep. 9, 18593 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Lopez, A. et al. Elexacaftor/tezacaftor/ivacaftor projected survival and long-term health outcomes in people with cystic fibrosis homozygous for F508del. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 22, 607–614 (2023).

    Article  CAS  Google Scholar 

  8. Francesca, B. et al. Improved quality of life in cystic fibrosis patients observed up to 36 months after starting Elexacaftor/Tezacaftor/Ivacaftor treatment. J. Patient-Rep. Outcomes 9, 48 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Lussac-Sorton, F. et al. The gut-lung axis in the CFTR modulator era. Front Cell Infect. Microbiol. 13, 1271117 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Robertson, J. K. & Goldberg, J. B. The impact of cystic fibrosis transmembrane conductance regulator (CFTR) modulators on the pulmonary microbiota. Microbiol Read. Engl. 171, 001553 (2025).

    Article  CAS  Google Scholar 

  11. Kristensen, M. I. et al. Individual and group response of treatment with ivacaftor on airway and gut microbiota in people with CF and a S1251N mutation. J. Pers. Med 11, 350 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Pope, C. E. et al. Changes in fecal microbiota with CFTR modulator therapy: a pilot study. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 20, 742–746 (2021).

    Article  CAS  Google Scholar 

  13. Duong, J. T. et al. Alterations in the fecal microbiota in patients with advanced cystic fibrosis liver disease after 6 months of elexacaftor/tezacaftor/ivacaftor. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 23, 490–498 (2024).

    Article  CAS  Google Scholar 

  14. Marsh, R. et al. Tezacaftor/Ivacaftor therapy has negligible effects on the cystic fibrosis gut microbiome. Microbiol. Spectr. 11, e0117523 (2023).

    Article  PubMed  Google Scholar 

  15. Ronan, N. J. et al. Modulation, microbiota and inflammation in the adult CF gut: a prospective study. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 21, 837–843 (2022).

    Article  CAS  Google Scholar 

  16. Marsh, R. et al. Impact of extended Elexacaftor/Tezacaftor/Ivacaftor therapy on the gut microbiome in cystic fibrosis. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 23, 967–976 (2024).

    Article  CAS  Google Scholar 

  17. Ooi, C. Y. et al. Impact of CFTR modulation with ivacaftor on gut microbiota and intestinal inflammation. Sci. Rep. 8, 17834 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Reasoner, S. A. et al. Longitudinal profiling of the intestinal microbiome in children with cystic fibrosis treated with elexacaftor-tezacaftor-ivacaftor. mBio 15, e0193523 (2024).

    Article  PubMed  Google Scholar 

  19. Angebault, C. & Botterel, F. Metagenomics applied to the respiratory mycobiome in cystic fibrosis. Mycopathologia 189, 82 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Al Shakirchi, M. et al. Impact of lumacaftor/ivacaftor on the bacterial and fungal respiratory pathogens in cystic fibrosis: a prospective multicenter cohort study in Sweden. Ther. Adv. Respir. Dis. 18, 17534666241254090 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Enaud, R. et al. Effects of lumacaftor-ivacaftor on airway microbiota-mycobiota and inflammation in patients with cystic fibrosis appear to be linked to Pseudomonas aeruginosa chronic colonization. Microbiol. Spectr. 11, e0225122 (2023).

    Article  PubMed  Google Scholar 

  22. Stahl, M. et al. Long-term impact of lumacaftor/ivacaftor treatment on cystic fibrosis disease progression in children 2-5 years of age homozygous for F508del-CFTR: a phase 2, open-label clinical trial. Ann. Am. Thorac. Soc. 21, 1550–1559 (2024).

    Article  PubMed  Google Scholar 

  23. Hevilla, F. et al. Impact of elexacaftor-tezacaftor-ivacaftor therapy on body composition, dietary intake, biomarkers, and quality of life in people with cystic fibrosis: a prospective observational study. Nutrients 16, 3293 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Mainz, J. G. et al. Reduction in abdominal symptoms (CFAbd-Score), faecal M2-pyruvate-kinase and Calprotectin over one year of treatment with Elexacaftor-Tezacaftor-Ivacaftor in people with CF aged ≥12 years - The RECOVER study. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 23, 474–480 (2024).

    Article  CAS  Google Scholar 

  25. Rayment, J. H. et al. A phase 3, open-label study of lumacaftor/ivacaftor in children 1 to less than 2 years of age with cystic fibrosis homozygous for F508del-CFTR. Am. J. Respir. Crit. Care Med 206, 1239–1247 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Tétard, C. et al. Reduced intestinal inflammation with lumacaftor/ivacaftor in adolescents with cystic fibrosis. J. Pediatr. Gastroenterol. Nutr. 71, 778–781 (2020).

    Article  PubMed  Google Scholar 

  27. García Romero, R. et al. Improvement of intestinal inflammation after treatment with CFTR modulators in cystic fibrosis patients. Pediatr 102, 503836 (2025).

    Google Scholar 

  28. Enaud, R. et al. The gut-lung axis in health and respiratory diseases: a place for inter-organ and inter-kingdom crosstalks. Front Cell Infect. Microbiol 10, 9 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Price, C. E. & O’Toole, G. A. The gut-lung axis in cystic fibrosis. J. Bacteriol. 203, e0031121 (2021).

    Article  PubMed  Google Scholar 

  30. Callahan, B. J. et al. Bioconductor workflow for microbiome data analysis: from raw reads to community analyses. F1000Research 5, 1492 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Enaud, R. et al. Intestinal inflammation in children with cystic fibrosis is associated with Crohn’s-like microbiota disturbances. J. Clin. Med 8, 645 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Gevers, D. et al. The treatment-naive microbiome in new-onset Crohn’s disease. Cell Host Microbe 15, 382–392 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Raghuvanshi, R. et al. High-resolution longitudinal dynamics of the cystic fibrosis sputum microbiome and metabolome through antibiotic therapy. mSystems 5, e00292–20 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Sokol, H. et al. Fungal microbiota dysbiosis in IBD. Gut 66, 1039–1048 (2017).

    Article  CAS  PubMed  Google Scholar 

  35. Narayana, J. K. et al. Microbial dysregulation of the gut-lung axis in bronchiectasis. Am. J. Respir. Crit. Care Med 207, 908–920 (2023).

    Article  CAS  PubMed  Google Scholar 

  36. Graeber, S. Y. et al. Effects of lumacaftor-ivacaftor on lung clearance index, magnetic resonance imaging, and airway microbiome in Phe508del homozygous patients with cystic fibrosis. Ann. Am. Thorac. Soc. 18, 971–980 (2021).

    Article  PubMed  Google Scholar 

  37. Vandenborght, L.-E. et al. Type 2–high asthma is associated with a specific indoor mycobiome and microbiome. J. Allergy Clin. Immunol. 147, 1296-1305.e6 (2021).

  38. Liu, C. M. et al. FungiQuant: a broad-coverage fungal quantitative real-time PCR assay. BMC Microbiol. 12, 255 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Gray, R. D. et al. Sputum and serum calprotectin are useful biomarkers during CF exacerbation. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 9, 193–198 (2010).

    Article  CAS  Google Scholar 

  40. McMurdie, P. J. & Holmes, S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 8, e61217 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Segata, N. et al. Metagenomic biomarker discovery and explanation. Genome Biol. 12, R60 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  42. Burgel, P.-R. et al. Real-life safety and effectiveness of lumacaftor-ivacaftor in patients with cystic fibrosis. Am. J. Respir. Crit. Care Med 201, 188–197 (2020).

    Article  CAS  PubMed  Google Scholar 

  43. Milla, C. E. et al. Lumacaftor/ivacaftor in patients aged 6–11 years with cystic fibrosis and homozygous for F508del-CFTR. Am. J. Respir. Crit. Care Med 195, 912–920 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Françoise, A. & Héry-Arnaud, G. The microbiome in cystic fibrosis pulmonary disease. Genes 11, 536 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  45. Neerincx, A. H. et al. Lumacaftor/ivacaftor changes the lung microbiome and metabolome in cystic fibrosis patients. ERJ Open Res. 7, 00731–02020 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  46. Liu, X. et al. Blautia —a new functional genus with potential probiotic properties? Gut Microbes 13, 1875796 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Holmberg, S. M. et al. The gut commensal Blautia maintains colonic mucus function under low-fiber consumption through secretion of short-chain fatty acids. Nat. Commun. 15, 3502 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Madan, J. C. et al. Serial analysis of the gut and respiratory microbiome in cystic fibrosis in infancy: interaction between intestinal and respiratory tracts and impact of nutritional exposures. mBio 3, e00251-12 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Cuthbertson, L. et al. Genomic attributes of airway commensal bacteria and mucosa. Commun. Biol. 7, 1–14 (2024).

    Article  Google Scholar 

  50. Bertelsen, A., Elborn, J. S. & Schock, B. C. Microbial interaction: Prevotella spp. reduce P. aeruginosa induced inflammation in cystic fibrosis bronchial epithelial cells. J. Cyst. Fibros. 20, 682–691 (2021).

    Article  CAS  PubMed  Google Scholar 

  51. Grassi, L. et al. Antibiofilm activity of Prevotella species from the cystic fibrosis lung microbiota against Pseudomonas aeruginosa. Biofilm 7, 100206 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Bharti, R. & Grimm, D. G. Current challenges and best-practice protocols for microbiome analysis. Brief. Bioinform 22, 178–193 (2021).

    Article  CAS  PubMed  Google Scholar 

  53. Steinberg, R. et al. Longitudinal effects of elexacaftor/tezacaftor/ivacaftor on the oropharyngeal metagenome in adolescents with cystic fibrosis. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. 24, 562–570 (2025).

    Article  CAS  Google Scholar 

  54. Pallenberg, S. T. et al. Impact of elexacaftor/tezacaftor/ivacaftor therapy on the cystic fibrosis airway microbial metagenome. Microbiol Spectr. 10, e0145422 (2022).

    Article  PubMed  Google Scholar 

  55. Schaupp, L. et al. Longitudinal effects of elexacaftor/tezacaftor/ivacaftor on sputum viscoelastic properties, airway infection and inflammation in patients with cystic fibrosis. Eur. Respir. J. 62, 2202153 (2023).

    Article  CAS  PubMed  Google Scholar 

  56. Duong, J. T. et al. Fecal microbiota changes in people with cystic fibrosis after 6 months of elexacaftor/tezacaftor/ivacaftor: Findings from the promise study. J. Cyst. Fibros. J. Eur. Cyst. Fibros. Soc. S1569-1993, 01487–0 (2025).

    Google Scholar 

  57. Bucci, V. et al. MDSINE: microbial dynamical systems inference engine for microbiome time-series analyses. Genome Biol. 17, 121 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  58. Pust M.-M., Tümmler, B. Bacterial low-abundant taxa are key determinants of a healthy airway metagenome in the early years of human life. Comput. Struct. Biotechnol. J. 20, 175–186 (2021).

  59. Matchado, M. S. et al. Network analysis methods for studying microbial communities: a mini review. Comput Struct. Biotechnol. J. 19, 2687–2698 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Cauwenberghs, E. et al. Positioning the preventive potential of microbiome treatments for cystic fibrosis in the context of current therapies. Cell Rep. Med. 5, 101371 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank the patients and their families for participating in the study as well as all nurses, physicians, and clinical research coordinators who were involved in the study. We extend our gratitude to the LumIvaBiota study group, comprising Sébastien Imbert and Michael Fayon (Bordeaux University, INSERM U1045); Cécile Bébéar, Julie Macey, Aurore Capelli, Géraldine Robert, and Frédéric Perry (Bordeaux University Hospital); Guillaume Simon, Océane Zaghet and Virginie Saintignan (Bordeaux University Hospital, CIC 1401); Erwan Guichoux, Olivier Lepais, and Zoé Delporte (PGTB, Pierroton); Anne-Sophie Bonnel (Hôpital Necker Enfants malades, AP-HP), Muriel Cornet and Catherine Llerena (Grenoble University Hospital); Geneviève Hery-Arnaud and Stéphanie Gouriou (Brest University Hospital); Michèle Gerardin, Véronique Houdoin, Laurence Le Clainche Viala, Sophie Mayer, and Patricia Mariani (Hôpital Robert Debré, AP-HP); Sophie Ramel (Roscoff Fondation Ildys); Dominique Grenet and Emilie Cardot-Martin (Foch Hospital); Jean-Christophe Dubus, Nathalie Stremler-Le Bel, Mélisande Baravalle-Einaudi, and Stephane Ranque (Marseille University Hospital); Léa Rotidis, Emmanuel Mas, Marie Mittaine, and Sophie Cassaing (Toulouse University Hospital); Nathalie Wizla, Caroline Thumerelle, Dominique Turck, Olivier Le Rouzic, Séverine Loridant, and Anne-Sophie Deleplanque (Lille University Hospital); Philippe Reix, Anne Doleans Jordheim, and Jean Menotti (Hospices Civils de Lyon); Sébastien Kiefer, Aurélie Tatopoulos, Aurore Blonde, and Anne Debourgogne (Nancy University Hospital); Jeanne Languepin, Alexandra Masson-Rouchaud, Magali Dupuy-Grasset, and Marie-Fleur Durieux (Limoges University Hospital); Sylvie Leroy, Sarah Marchal, and Lilia Hasseine (Nice University Hospital); Pierre-Regis Burgel (Hôpital Cochin, AP-HP); Raphael Chiron and Laurence Lachaud (Montpellier University Hospital); and Hélène Morisse-Pradier and Loïc Favennec (Rouen University Hospital).

Funding

This work was funded by research grants from VERTEX (Lumivabiota study referenced as IIS-2016-105028) and Vaincre la Mucoviscidose (VLM) association (EMILII project under VLM reference: RC20200502658); both playing no role in the data collection and analysis, or in the decision to submit the article.

Author information

Authors and Affiliations

Authors

Contributions

R.E., L.D. designed and granted the study. F.L.S., N.W., A.T., M.B., L.R., V.H., C.L., P.R., I.S., J.L., S.B., F.B., L.D., R.E. contributed to data collection. R.E., F.L.S., E.C., L.D., PAG. designed and performed NGS experiments. R.E., F.L.S., E.C., M.L., J.K.N., P.B., S.H.C., L.D. contributed to data management and analysis. R.E., F.L.S., M.L., J.K.N., S.H.C., L.D. performed the statistical analysis. R.E., F.L.S., and L.D. wrote the first draft of the manuscript that was revised and approved for important intellectual content by all authors. All authors approved the final version of the manuscript.

Corresponding author

Correspondence to Raphael Enaud.

Ethics declarations

Competing interests

Raphaël Enaud reports support for the present manuscript from Association Vaincre la Mucoviscidose. Outside the submitted work, he has received personal fees from Biocodex and Menarini, as well as non-financial support from Pfizer, MSD, Nutricia, Nestlé, AbbVie, Mayoly Spindler, Gilead Sciences, Hospira, and Aptalis Pharma. Laurence Delhaes reports support for the present work from Vertex Pharmaceuticals (Lumivabiota study, IIS-2016-105028), and additional grants from ANR (“Inf-HOLOBIONT”) and Pfizer (“IA-holobiont”). Isabelle Sermet-Gaudelus reports grants from Vertex Therapeutics and Tavanta, outside the submitted work. She has been the principal investigator of clinical trials sponsored by Corbus Pharmaceuticals, PTC Therapeutics, and Vertex Pharmaceuticals. She also participated in a scientific advisory board at Vertex Therapeutics. Philippe Reix declares honorary grants and lecture payments from Vertex Pharmaceuticals. Jeanne Languepin and Stéphanie Bui received personal fees for presentations from Viatris and Vertex Pharmaceuticals. Patrick Berger declares an unrestricted grant from AstraZeneca, consulting and speaking fees from AstraZeneca, Sanofi, Chiesi, and GSK, as well as patent ownership and stock holdings in Tesla, NIO, and ALSET. Sanjay H. Chotirmall reports receiving grants from various Singapore national agencies and consulting fees, lecture fees, and advisory board participation from CSL Behring, Boehringer Ingelheim, Pneumagen, Sanofi, AstraZeneca, Chiesi Farmaceutici, and others. All other authors declare no competing interests.

Informed consent

Written informed consent was obtained from participants’ parents or legal guardians prior to inclusion, in accordance with French regulations in force at the time of the study; assent was sought from children when appropriate. The study used residual care samples and was registered at ClinicalTrials.gov (NCT03565692).

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lussac-Sorton, F., Narayana, J.K., Wizla, N. et al. Gut–lung microbial dynamics with lumacaftor/ivacaftor in children with cystic fibrosis: a prospective multicenter study. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-04774-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41390-026-04774-2

Search

Quick links