MINI REVIEW article

Front. Cell. Infect. Microbiol., 15 September 2023

Sec. Extra-intestinal Microbiome

Volume 13 - 2023 | https://doi.org/10.3389/fcimb.2023.1271117

The gut-lung axis in the CFTR modulator era

  • 1. Univ. Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM U1045, Pessac, France

  • 2. INSERM, Centre de Recherche Cardio-thoracique de Bordeaux, Pessac, France

  • 3. CHU Bordeaux, Service de Parasitologie et Mycologie, Centre de Ressources et de Compétences de la Mucoviscidose (CRCM), Service de Pédiatrie, Service d’Exploration Fonctionnelle Respiratoire, CIC, Bordeaux, France

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Abstract

The advent of CFTR modulators represents a turning point in the history of cystic fibrosis (CF) management, changing profoundly the disease’s clinical course by improving mucosal hydration. Assessing changes in airway and digestive tract microbiomes is of great interest to better understand the mechanisms and to predict disease evolution. Bacterial and fungal dysbiosis have been well documented in patients with CF; yet the impact of CFTR modulators on microbial communities has only been partially deciphered to date. In this review, we aim to summarize the current state of knowledge regarding the impact of CFTR modulators on both pulmonary and digestive microbiomes. Our analysis also covers the inter-organ connections between lung and gut communities, in order to highlight the gut-lung axis involvement in CF pathophysiology and its evolution in the era of novel modulators therapies.

1 Introduction

Cystic fibrosis (CF) is the most common severe life-limiting genetic disease in Caucasian populations. It affects more than 80,000 people worldwide, with a prevalence at birth of about 1 in 3,500 in Europe (Brown et al., 2017) but with a wide heterogeneity in its distribution. While it is diagnosed equally in men and women, its clinical expression appears to be more severe in women, which may be linked to estrogen involvement in the disease pathophysiology (Lam et al., 2021). CF is a monogenic disease with an autosomal recessive inheritance, caused by mutations in the gene coding the cystic fibrosis transmembrane conductance regulator (CFTR) protein, responsible for impaired chloride and bicarbonate secretions across epithelial cell apical membranes. More than 2,000 cftr gene mutations have been reported, which are classified into 6 groups according to the subsequent functional defect. These dysfunctions in the CFTR chloride channel cause an accumulation of viscous and dehydrated mucus in exocrine glands epithelia and airway lumen. While pulmonary complications remain the main cause of morbidity-mortality in CF, the disease also affects other organs in particular the gastro-intestinal tract (Karb and Cummings, 2021). The mucus accumulation may lead to an obstruction of the intestinal lumen as well as pancreatic and bile ducts. People with CF (pwCF) also exhibit an increased risk of gastro-intestinal cancers compared to general population (Yamada et al., 2018). Hence, CF represents a multi-organ pathology responsible for a wide variety of symptoms across patients’ lives (Figure 1), with respiratory and digestive manifestations playing key roles in disease progression.

Figure 1

In both the airways and gastro-intestinal tracts altered mucus composition leads to an imbalance in microbial communities. This dysbiosis also contributes to the establishment of chronic inflammation associated with functional lung and digestive decline (Enaud et al., 2019). Metagenomic approaches based on next generation sequencing have clearly facilitated the investigation of the CF microbiome (Françoise and Héry-Arnaud, 2020) which is of great importance to the understanding of the underlying mechanisms and to predict disease evolution. While assessment of both bacterial and fungal communities is well documented using metabarcoding approaches, the viral component of the microbiome requires shotgun metagenomics methods and remains largely unknown (Billard et al., 2017).

Pulmonary bacterial and to a lesser degree fungal microbiotas have been well documented in pwCF and healthy subjects (Figure 1) (Charlson et al., 2012; Delhaes et al., 2012; Zhao et al., 2012; Marsland and Gollwitzer, 2014; Willger et al., 2014; Nguyen et al., 2015; Dickson et al., 2016; Moran Losada et al., 2016; Dickson et al., 2017; Lamoureux et al., 2019; Enaud et al., 2020; Françoise and Héry-Arnaud, 2020; Avalos-Fernandez et al., 2022; Natalini et al., 2022; Hong et al., 2023). In the gut, microbial communities have also been well characterized (Figure 1) (Spor et al., 2011; Hoffmann et al., 2013; Hallen-Adams et al., 2015; Hoen et al., 2015; Nash et al., 2017; de Freitas et al., 2018; Enaud et al., 2018; Antosca et al., 2019; Coffey et al., 2019; Enaud et al., 2019); however it should be noted that fungal microbiota (also called mycobiota) has not been specifically addressed yet in pwCF digestive tract. Distant microbial florae display inter-organ connections involving a bidirectional crosstalk. As such, the gut-lung axis is an emerging concept describing how pulmonary and intestinal communities influence each other and are linked to clinical outcomes. In CF, this gut-lung axis is supported by studies results showing how gut bacterial microbiome is correlated with its pulmonary counterpart or the occurrence of respiratory complications (Enaud et al., 2020).

Before the 2010s, CF therapies were solely able to alleviate the disease symptoms. Over the last decade the development of CFTR modulators which directly address the underlying defects in the impaired protein has represented a turning point in the history of CF management (Davies et al., 2019). This has dramatically changed the disease’s clinical course (Figure 1) leading to meaningful improvements in the daily lives of a large CF population and enabling to reach an average life expectancy of nearly 50 years (Karb and Cummings, 2021). In this review we will focus on CFTR modulators, their impact on pulmonary and intestinal microbiotas and discuss how these novel therapies may modify profoundly the gut-lung axis in CF and which long-term clinical benefit CF patients may expect.

2 CFTR modulators

Current advances in CFTR modulators have been reviewed recently (Meoli et al., 2021). Here, we will focus on CFTR modulators for which microbiota data have been published. Briefly, Ivacaftor (IVA) (Kalydeco®, Vertex pharmaceuticals, Boston, Massachusetts) was the first modulator to obtain approval by the FDA (2012); it belongs to the “potentiator” class, which increases CFTR gating at the apical surface of epithelial cells allowing for extended channel opening time. IVA was first approved in adult patients with at least one G551D gating mutation, representing only 2% of CF patients (McKone et al., 2003). Its use has been secondarily extended to other rare CFTR mutations with gating defects and nowadays from the age of 4 months upwards. Its clinical efficacy was demonstrated in children and adult cohorts, with an improvement in lung function (i.e., increase of percent predicted forced expiratory volume in 1 second (ppFEV1)), a decrease in the rate of pulmonary exacerbations, an improvement in nutritional status (i.e., gain of weight and increase in body mass index (BMI)), an improvement in pancreatic function, and a strong reduction of the sweat chloride concentration (Ramsey et al., 2011; Davies et al., 2013). IVA displayed an acceptable safety profile (the most common adverse effects being headaches, oropharyngeal pain, upper respiratory tract infections and nasal congestion) (Ramsey et al., 2011; Davies et al., 2013). A risk of increased blood liver enzymes has been reported, justifying regular monitoring in all treated patients. No positive effects were observed when tested in patients with the more frequent F508del mutation (Flume et al., 2012), suggesting that a combination with a corrector is required to rectify the activity defect.

Several CFTR correctors have been developed to treat the protein misfolding and improve its trafficking to the apical surface, lumacaftor (LUM) being the first molecule of this class. Though LUM did not show any significant clinical effects as monotherapy (Clancy et al., 2012), it proved beneficial when associated with the potentiator IVA, and as such, has been FDA-approved as a combination since 2015 for patients aged 2 years and older, with homozygous F508del mutations (about 40% of pwCF (Wainwright et al., 2015)). The combination of lumacaftor-ivacaftor (LUM/IVA) (Orkambi®,Vertex pharmaceuticals) was evaluated in two randomized controlled trials, which showed modest but significant benefits on lung function at 24 weeks and on nutritional status (increase in BMI) (Wainwright et al., 2015). These benefits continued to be observed in the long term at week 96 (Konstan et al., 2017). LUM/IVA combination displayed an acceptable safety profile in the pivotal trials. However, clinical responses may also vary significantly amongst patients with the same genotype, and acute respiratory events (chest tightness, dyspnea and drop of ppFEV1) were reported later on in real life studies, responsible for treatment discontinuation in approximately 20% of patients (Hubert et al., 2017; Jennings et al., 2017; Labaste et al., 2017; Burgel et al., 2020).

The second dual-combination of a CFTR corrector and potentiator was tezacaftor-ivacaftor (TEZ/IVA) (Symdeko® in the USA and Symkevi® in Europe, Vertex pharmaceuticals), FDA-approved in 2018 for patients aged 6 years and older, with homozygous F508del mutations or heterozygous in association with a residual-function mutation. TEZ/IVA combination showed significant clinical efficacy similar to that of LUM/IVA, but a better side-effect profile with less occurrence of acute respiratory events (Rowe et al., 2017; Taylor-Cousar et al., 2017; Lommatzsch and Taylor-Cousar, 2019). Thereafter, a triple-combination approach was developed by adding elexacaftor (ELX), a new CFTR corrector, to the former TEZ/IVA regimen. ELX and TEZ bind to different sites of the CFTR protein, displaying an additive effect to improve the protein processing. The triple-combination elexacaftor-tezacaftor-ivacaftor (ELX/TEZ/IVA) (Trikafta® in USA and Kaftrio® in Europe, Vertex pharmaceuticals) was approved in 2019 for patients aged 6 years and older having at least one F508del mutation (regardless of the other mutation on the second allele), representing nearly 90% of pwCF (Cystic Fibrosis Foundation, 2022; Vaincre la Mucoviscidose, 2022). ELX/TEZ/IVA has been assessed in several randomized clinical trials (Heijerman et al., 2019; Middleton et al., 2019; Zemanick et al., 2021) which demonstrated an unprecedented clinical improvement with an acceptable safety profile leading to a significant decrease in the number of lung transplantations (Burgel et al., 2021).

3 Pulmonary microbiota

CFTR modulators therapies lead to improved mucus hydration by correcting chloride channel activity, which improves mucociliary clearance and, in turn, induces changes in airway microbial communities. The impact of modulators on the pulmonary microbiome has been more extensively studied during IVA monotherapy (as the first developed molecule) in patients bearing at least one G551D mutation. Results of these studies are summarized in Table 1. Briefly, a first study assessing IVA effects reported no significant changes in bacterial alpha-diversity, but a trend towards decreased abundance of pathogens as well as a significant increase in the anaerobe Prevotella (Rowe et al., 2014). A subsequent study performed on 3 patients did not find any significant differences in total bacterial load and global community composition, but described a notable decrease in Streptococcus mitis abundance and increase in the anaerobe Porphyromonas (Bernarde et al., 2015). A third study reported a significant increase of bacterial diversity indices during the first year of treatment in patients chronically infected with P. aeruginosa, as well as a decrease in the relative abundance of P. aeruginosa with reciprocal increase of oropharyngeal bacteria such as Streptococcus and Prevotella (Hisert et al., 2017). Nonetheless, these changes were not sustained with a notable rebound observed during the second year of IVA monotherapy (Burgel et al., 2021). A more recent study reported increased richness and diversity of the pulmonary bacterial microbiome, correlated with lower levels of circulating inflammatory markers (Einarsson et al., 2021). By contrast, other studies did not find any significant changes in pulmonary bacterial microbiome related to IVA in patients with G551D or S1251N mutations (Peleg et al., 2018; Harris et al., 2020; Kristensen et al., 2021), in spite of limitations due to small sample sizes, short follow-up periods and differences in antibiotic exposures. Overall, these results suggest a trend towards increased bacterial diversity in the airways on IVA monotherapy, accompanied with a decrease but no eradication of P. aeruginosa and reciprocal increase in commensal anaerobes.

Table 1

CFTR modulators assessedAuthorsStudied populationFollow-up periodEffects on
bacterial microbiota
Effects on
fungal microbiota
PULMONARY MICROBIOME
IVARowe et al., 2014133 patients (with microbiome analysis limited to 14 patients), age 6 and older,
at least one G551D mutation
6 monthsTrend toward a decrease in relative abundance of CF pathogens. Significant increase in Prevotella relative abundance.
Reduction of P. aeruginosa isolation from respiratory cultures in the whole 133 patient’s cohort.
NA
Bernarde et al., 20153 patients, age range 10-16,
at least one G551D mutation
mean 10 monthsNo significant changes in global community composition. Decrease in Streptococcus mitis relative abundance and increase of Porphyromonas.NA
Hisert et al., 201712 patients (microbiome analysis in 8 patients), age range 22-57,
at least one G551D mutation
≥ 2 yearsIncrease of alpha-diversity during the first year, with decrease in P. aeruginosa relative abundance and reciprocal increase of commensal bacteria such as Streptococcus and Prevotella. Reduction in P. aeruginosa loads (assessed by culture and qPCR) in the first year. Rebound during the second year.NA
Peleg et al., 201820 patients, age range 18-65,
at least one G551D mutation
4 weeksNo significant changes in microbial composition. In subjects with stable antibiotic exposure, reduction in total bacterial load.NA
Harris et al., 202031 patients, age 10 and older,
at least one G551D mutation
6 monthsNo significant changes in diversity and bacterial loads (total and P. aeruginosa).NA
Kristensen et al., 202116 patients, mean age 22.5,
at least one S1251N mutation
2-12 monthsTrend toward an increase in alpha-diversity. No significant changes in overall microbial composition.NA
Einarsson et al., 202114 patients, age range 13-39,
at least one G551D mutation
mean
1 year
Increase in alpha-diversity, correlated with lower levels of circulating inflammatory markers.NA
LUM/IVAGraeber et al., 202114 patients, age range 12-41, F508del homozygous8-16 weeksDecrease in total bacterial load and increase in alpha-diversity (with reduced IL-1β concentration in sputa).NA
Neerincx et al., 202116 patients, median age 25,
F508del homozygous
1 yearTemporary and moderate decrease in P. aeruginosa relative abundance (statistically unsignificant, not sustained after 1 year).NA
Hong et al., 202366 CF patients (18 treated with LUM/IVA and 6 with IVA),
age 18 and older
no longitudinal follow-upNAHigher alpha-diversity compared to untreated patients
Enaud et al., 202341 patients, age 12 and older, F508del homozygous6 monthsNo significant changes in diversity and bacterial loads (total and P. aeruginosa).
In a subgroup of patients uncolonized with P. aeruginosa at baseline, increase in alpha-diversity.
No significant changes in diversity and total fungal load.
ELX/TEZ/IVAPallenberg et al., 202231 patients, age range 12-44,
at least one F508del mutation
3-12 monthsIncrease in alpha-diversity (evenness) and beta-diversity. Decrease in total bacterial load and relative abundances of P. aeruginosa and S. aureus.NA
Sosinski et al., 202224 patients, mean age 32,
at least one F508del mutation
mean
6 months
Increase in alpha- and beta-diversity. Decrease of the abundance log-ratio of CF pathogens/anaerobes.NA
Schaupp et al., 202365 patients, age 12 and older,
at least one F508del mutation
1 yearIncrease in alpha-diversity, correlated with reduced inflammatory markers in sputa. Decrease in P. aeruginosa relative abundance at 3 months.NA
DIGESTIVE MICROBIOME
IVAOoi et al., 201816 patients,
age range 5-50,
at least one G551D or G178R mutation
median
6 months
Increase in Akkermansia relative abundance. Moderate decrease in Enterobacteriaceae abundance (statistically unsignificant), correlated with reduced fecal calprotectin.NA
Kristensen et al., 202116 patients,
mean age 22.5, at least one S1251N mutation
2-12 monthsSignificant increase in alpha- and beta-diversity. No significant changes in specific genera abundances.NA
Pope et al., 202112 patients (with pancreatic sufficiency),
age range 21-64, at least one R117H mutation
4.4 monthsNo significant changes in diversity and microbial composition.NA
Ronan et al., 202214 patients,
age range 18-39, at least one G551D mutation
median
1 year
No significant changes in diversity and microbial composition.NA
LUM/IVAPope et al., 20218 patients (with pancreatic insufficiency),
age range 8-24,
F508del homozygous
median
7 months
No significant changes in alpha-diversity. Trend toward microbial composition closer to patients with pancreatic sufficiency.NA

Impact of CFTR modulators on pulmonary and digestive microbiomes.

IVA, Ivacaftor; LUM/IVA, Lumacaftor + Ivacaftor; ELX/TEZ/IVA, Elexacaftor + Tezacaftor + Ivacaftor; NA, not assessed.

Regarding the impact of the LUM/IVA dual-combination on the airway microbiome, a first study reported similarly a moderate decrease in P. aeruginosa relative abundance that did not reach statistical significance and was not sustained after 12 months of treatment (Neerincx et al., 2021). A second study described a significant decrease in total bacterial load and an increase in bacterial alpha-diversity calculated with the Shannon index, along with a reduced concentration of the proinflammatory cytokine IL-1β in pwCF sputa (Graeber et al., 2021). Regarding the mycobiome, one recent cross-sectional study showed that adult patients treated with modulators (the majority of whom were receiving LUM/IVA) had significantly higher fungal alpha-diversity compared to untreated patients (Hong et al., 2023). A last study did not find any significant differences in both airway bacterial and fungal microbiota and pulmonary inflammation assessed by calprotectin measurement (Enaud et al., 2023). However, when focusing on a subgroup of patients uncolonized with P. aeruginosa at LUM/IVA initiation, calprotectin levels were lower and a significant increase in bacterial alpha-diversity was observed after 6 months of therapy, suggesting that microbiome changes on LUM/IVA are dependent on P. aeruginosa colonization status.

Only three studies have addressed the effect of the most recent and promising ELX/TEZ/IVA triple-combination on pulmonary microbiome in pwCF wearing at least one F508del mutation. One study performed on 24 patients (Sosinski et al., 2022) demonstrated a significant increase in bacterial alpha- and beta-diversity in the sputa after treatment, as well as a trend towards a reduced bacterial load. Although the relative abundances of specific bacterial taxa were unchanged, the authors described a significant decrease in the CF pathogens to anaerobes log-ratio. These findings were partially confirmed by a subsequent study reporting a significant increase in the evenness of distribution of bacterial taxa, along with a decrease in total bacterial load and relative abundances of major CF pathogens P. aeruginosa and Staphylococcus aureus (Pallenberg et al., 2022). Similarly, the authors of a recent study described an increase in bacterial alpha-diversity after 1, 3 and 12 months on ELX/TEZ/IVA (Schaupp et al., 2023) while the decrease in P. aeruginosa relative abundance was only significant at 3 months. In addition, the authors also reported a significant reduction in inflammatory markers (IL-1β, IL-8 and neutrophil elastase) in the sputa. All these findings appear to be consistent with those reported with previous generations of CFTR modulators.

4 Digestive microbiota

To date the impact of CFTR modulators on the intestinal microbiome has been less extensively studied compared to its pulmonary counterpart. Several studies suggest that IVA monotherapy may have an impact on the intestinal microbiome in pwCF with gating defects; such results are summarized in Table 1. A first study showed that IVA provokes a significant increase in the relative abundance of the bacterial genus Akkermansia (Ooi et al., 2018) which is known for its anti-inflammatory effects and as a biomarker of healthy gut mucosa (Derrien et al., 2017; Rodrigues et al., 2022). This finding was associated with a significant decrease in intestinal inflammation assessed by fecal calprotectin measurement, while bacterial alpha- and beta-diversities were unchanged. Conversely, another study reported a significant increase in both alpha- and beta-diversity indices after IVA treatment, whereas no significant changes were found in specific bacterial genera abundances (Kristensen et al., 2021). Two other studies did not show any significant effect related to IVA monotherapy on the gut microbiome (Pope et al., 2021; Ronan et al., 2022). Finally, trends toward a bacterial microbiota composition closer to subjects with normal exocrine pancreatic function were reported with LUM/IVA dual-combination (Pope et al., 2021). These limited findings need to be further validated by larger studies, especially with next-generation modulators like the ELX/TEZ/IVA triple-combination. Moreover, it must be noted that the intestinal mycobiota has not been assessed to date in patients treated with CFTR modulators. By extrapolation based on similarities regarding the bacterial component (Enaud et al., 2019) it may display similarities with patterns reported in inflammatory bowel diseases, which are characterized by a notable increase in the Basidiomycota/Ascomycota ratio during flares episodes and a decrease during remission (Sokol et al., 2017). In addition, although the intestinal mycobiome has been reported to influence airway outcomes (Zhang et al., 2017) no studies have currently examined this hypothesis or the role of the gut in the context of CF.

5 Discussion and perspectives: towards a gut-lung axis analysis in pwCF on CFTR modulators

In this review we have summarized the published data regarding the impact of CFTR modulators on pulmonary and digestive microbiomes respectively. However, these two microbial florae are not strictly independent as indicated by growing evidence describing inter-organ connections (Enaud et al., 2020; Françoise and Héry-Arnaud, 2020), and supporting the concept of a gut-lung axis. Due to the anatomical links the microbial communities of both tracts have direct interactions through gastroesophageal content inhalations and sputum swallowing (Enaud et al., 2020). Long-reaching interactions between the airways and intestine are also involved, mediated via the mesenteric lymphatic system through which microbial metabolites are exchanged (Bingula et al., 2017; Anand and Mande, 2018; Enaud et al., 2020). Among them, short-chain fatty acids synthesized by intestinal bacteria are of particular importance given their well-known immunomodulatory properties. Such fatty acids have been shown to mitigate the airway inflammatory response (Trompette et al., 2014; Halnes et al., 2017).

In pwCF, several studies suggest interactions between bacterial communities at the pulmonary and digestive levels. In infants with CF, a high degree of concordance was observed between bacterial genera evolution over time at both sites, with some genera colonizing the gut prior to their appearance in the respiratory tract (Madan et al., 2012). Furthermore, the gut microbiome is closely related to CF respiratory complications. Indeed, some gut microbiota alterations (such as a decrease of Parabacteroides) precede the onset of P. aeruginosa colonization, while its composition is associated with CF exacerbation in early life (Hoen et al., 2015). Regarding dietary exposures, breastfeeding was associated with microbial diversity of the respiratory tract as well as a prolonged time to first CF exacerbation (Madan et al., 2012; Hoen et al., 2015), the role of short-chain fatty acids being discussed but not demonstrated yet. Finally, the oral administration of probiotics (supposed to modulate the gut microbiota) showed a significant reduction in the number of pulmonary exacerbations, although the size of effect is unclear (Anderson et al., 2017).

The gut-lung axis involvement in pwCF receiving CFTR modulators has been far less extensively investigated. To date, only one study has assessed bacterial communities in both the airways and gut in 16 patients with the rare S1251N mutation treated with IVA monotherapy (Kristensen et al., 2021). The authors reported significant improvements in the gut microbiota diversity that were not observed in the respiratory samples (including sputum, nasopharynx and oropharynx samples). Nonetheless, these findings are limited by the small sample size (n=16, among which only 8 patients were followed during 12 months). In addition, the authors suggested a follow-up time in excess of 12 months to detect significant improvements in lung microbiota on CFTR modulators, since the development of respiratory tract microbiota appeared to be presaged by gut colonization (Madan et al., 2012).

Further studies are thus required to fully decipher the gut-lung axis evolution on modulator therapies, involving a joint analysis of pulmonary and fecal samples. Moreover, microbiome analyses have so far been almost exclusively limited to the bacterial kingdom, the fungal kingdom being neglected in the assessment of pwCF microbiotas on modulators, especially in the digestive tract analysis. In addition, the use of shotgun metagenomics approaches will allow to investigate the viral component of the microbiome, providing an exhaustive inter-kingdom assessment of CF microbial communities. The entire microbiome data should also be correlated with clinical parameters and surrogate inflammatory biomarkers for a comprehensive evaluation of the CF disease landscape in a personalized medicine approach that next generation of CFTR modulators will enable (Yi et al., 2021; Enaud et al., 2023).

Regarding the populations studied, it should be noted that the patients included in the quoted studies were over 5 years of age, including a majority of adults with already established chronic colonization and infection (Table 1). The modulators’ impact should also be assessed in future studies in large pediatric populations including children under 5 years of age, since CFTR modulator treatment will be initiated earlier, before the patients are chronically colonized and the gut-lung axis mucosa irreversibly damaged (Enaud et al., 2023). Moreover, other features such as pwCF gender should be considered, since differential outcomes between men and women treated with IVA have been described (Secunda et al., 2020). Finally, early published studies being focused on the assessment of patients treated with IVA monotherapy, future studies are needed to investigate the gut-lung axis in patients receiving combinations of modulators such as LUM/IVA, TEZ/IVA and ELX/TEZ/IVA.

In conclusion, the advent of CFTR modulators marks a turning point in the history of CF management and outcome, with unprecedented clinical improvements and favorable safety profiles, even if data about long-term adverse effects are not yet available. The impact of such molecules on the resident microbial communities of the respiratory and digestive tracts has only been partially deciphered, mostly with first-generation therapies such as IVA. While the results of available studies are not totally consistent, they suggest that CFTR modulators may induce an increase in bacterial diversity, associated with a decrease in conventional culture-based CF pathogens in the airways and an increase in anti-inflammatory bacteria in the gut. The impact of next-generation modulators on the gut-lung axis will have to be more extensively investigated in future studies, with additional data regarding the mycobiota and virobiota, especially in younger pwCF who will benefit even more from these innovative therapies.

Statements

Author contributions

FL-S: Conceptualization, Writing – original draft, Writing – review & editing. ÉC: Conceptualization, Writing – review & editing. SI: Conceptualization, Writing – review & editing. ML: Writing – review & editing. SB: Writing – review & editing. MF: Writing – review & editing. PB: Writing – review & editing. RE: Conceptualization, Writing – review & editing. LD: Conceptualization, Writing – original draft, Writing – review & editing.

Funding

The authors declare financial support was received for the research, authorship, and/or publication of this article. LD team had annual grants from the Bordeaux University Hospital, University of Bordeaux and INSERM U1045; they also benefited from Vaincre la Mucoviscidose’s grant (RCI20210502769). All the funders had no role in article design, data analysis, decision to publish, or preparation of the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

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References

  • 1

    AnandS.MandeS. S. (2018). Diet, microbiota and gut-lung connection. Front. Microbiol.9, 2147. doi: 10.3389/fmicb.2018.02147

  • 2

    AndersonJ. L.MilesC.TierneyA. C. (2017). Effect of probiotics on respiratory, gastrointestinal and nutritional outcomes in patients with cystic fibrosis: A systematic review. J. Cyst Fibros16 (2), 186197. doi: 10.1016/j.jcf.2016.09.004

  • 3

    AntoscaK. M.ChernikovaD. A.PriceC. E.RuoffK. L.LiK.GuillM. F.et al. (2019). Altered stool microbiota of infants with cystic fibrosis shows a reduction in genera associated with immune programming from birth. J. Bacteriol.201 (16), e00274-19. doi: 10.1128/JB.00274-19

  • 4

    Avalos-FernandezM.AlinT.MétayerC.ThiébautR.EnaudR.DelhaesL. (2022). The respiratory microbiota alpha-diversity in chronic lung diseases: first systematic review and meta-analysis. Respir. Res.23 (1), 214. doi: 10.1186/s12931-022-02132-4

  • 5

    BernardeC.KeravecM.MounierJ.GouriouS.RaultG.FérecC.et al. (2015). Impact of the CFTR-potentiator ivacaftor on airway microbiota in cystic fibrosis patients carrying A G551D mutation. PloS One10 (4), e0124124. doi: 10.1371/journal.pone.0124124

  • 6

    BillardL.Le BerreR.PilorgéL.PayanC.Héry-ArnaudG.ValletS. (2017). Viruses in cystic fibrosis patients’ airways. Crit. Rev. Microbiol.43 (6), 690708. doi: 10.1080/1040841X.2017.1297763

  • 7

    BingulaR.FilaireM.Radosevic-RobinN.BeyM.BerthonJ. Y.Bernalier-DonadilleA.et al. (2017). Desired turbulence? Gut-lung axis, immunity, and lung cancer. J. Oncol.2017, 5035371. doi: 10.1155/2017/5035371

  • 8

    BrownS. D.WhiteR.TobinP. (2017). Keep them breathing: Cystic fibrosis pathophysiology, diagnosis, and treatment. J. Am. Acad. Physician Assistants30 (5), 2327. doi: 10.1097/01.JAA.0000515540.36581.92

  • 9

    BurgelP. R.DurieuI.ChironR.RamelS.Danner-BoucherI.PrevotatA.et al. (2021). Rapid improvement after starting elexacaftor-tezacaftor-ivacaftor in patients with cystic fibrosis and advanced pulmonary disease. Am. J. Respir. Crit. Care Med.204 (1), 6473. doi: 10.1164/rccm.202011-4153OC

  • 10

    BurgelP. R.MunckA.DurieuI.ChironR.MelyL.PrevotatA.et al. (2020). Real-life safety and effectiveness of lumacaftor–ivacaftor in patients with cystic fibrosis. Am. J. Respir. Crit. Care Med.201 (2), 188197. doi: 10.1164/rccm.201906-1227OC

  • 11

    CharlsonE. S.DiamondJ. M.BittingerK.FitzgeraldA. S.YadavA.HaasA. R.et al. (2012). Lung-enriched organisms and aberrant bacterial and fungal respiratory microbiota after lung transplant. Am. J. Respir. Crit. Care Med.186 (6), 536545. doi: 10.1164/rccm.201204-0693OC

  • 12

    ClancyJ. P.RoweS. M.AccursoF. J.AitkenM. L.AminR. S.AshlockM. A.et al. (2012). Results of a phase IIa study of VX-809, an investigational CFTR corrector compound, in subjects with cystic fibrosis homozygous for the F508del-CFTR mutation. Thorax67 (1), 1218. doi: 10.1136/thoraxjnl-2011-200393

  • 13

    CoffeyM. J.NielsenS.WemheuerB.KaakoushN. O.GargM.NeedhamB.et al. (2019). Gut microbiota in children with cystic fibrosis: A taxonomic and functional dysbiosis. Sci. Rep.9 (1), 18593. doi: 10.1038/s41598-019-55028-7

  • 14

    Cystic Fibrosis Foundation (2022). Cystic fibrosis foundation patient registry 2021 annual data report (Bethesda, Maryland). Available at: https://www.cff.org/sites/default/files/2021-11/Patient-Registry-Annual-Data-Report.pdf.

  • 15

    DaviesG.GriesenbachU.AltonE.DaviesJ. C. (2019). Molecular therapies for cystic fibrosis. In: Kendig’s Disord. Respir. Tract Children Elsevier;, 800811.e3. doi: 10.1016/B978-0-323-44887-1.00053-5

  • 16

    DaviesJ. C.WainwrightC. E.CannyG. J.ChilversM. A.HowenstineM. S.MunckA.et al. (2013). Efficacy and safety of ivacaftor in patients aged 6 to 11 years with cystic fibrosis with a G551D mutation. Am. J. Respir. Crit. Care Med.187 (11), 12191225. doi: 10.1164/rccm.201301-0153OC

  • 17

    de FreitasM. B.MoreiraE. A. M.TomioC.MorenoY. M. F.DaltoeF. P.BarbosaE.et al. (2018). Altered intestinal microbiota composition, antibiotic therapy and intestinal inflammation in children and adolescents with cystic fibrosis. PloS One13 (6), e0198457. doi: 10.1371/journal.pone.0198457

  • 18

    DelhaesL.MonchyS.FréalleE.HubansC.SalleronJ.LeroyS.et al. (2012). The airway microbiota in cystic fibrosis: a complex fungal and bacterial community–implications for therapeutic management. PloS One7 (4), e36313. doi: 10.1371/journal.pone.0036313

  • 19

    DerrienM.BelzerC.de VosW. M. (2017). Akkermansia muciniphila and its role in regulating host functions. Microb. Pathog.106, 171181. doi: 10.1016/j.micpath.2016.02.005

  • 20

    DicksonR. P.Erb-DownwardJ. R.FreemanC. M.McCloskeyL.FalkowskiN. R.HuffnagleG. B.et al. (2017). Bacterial topography of the healthy human lower respiratory tract. mBio.8 (1), e02287e02216. doi: 10.1128/mBio.02287-16

  • 21

    DicksonR. P.Erb-DownwardJ. R.MartinezF. J.HuffnagleG. B. (2016). The microbiome and the respiratory tract. Annu. Rev. Physiol.78, 481504. doi: 10.1146/annurev-physiol-021115-105238

  • 22

    EinarssonG. G.RonanN. J.MooneyD.McGettiganC.MullaneD.NiChroininM.et al. (2021). Extended-culture and culture-independent molecular analysis of the airway microbiota in cystic fibrosis following CFTR modulation with ivacaftor. J. Cystic Fibrosis20 (5), 747753. doi: 10.1016/j.jcf.2020.12.023

  • 23

    EnaudR.HooksK. B.BarreA.BarnetcheT.HubertC.MassotM.et al. (2019). Intestinal inflammation in children with cystic fibrosis is associated with crohn’s-like microbiota disturbances. J. Clin. Med.8 (5), 645. doi: 10.3390/jcm8050645

  • 24

    EnaudR.Lussac-SortonF.CharpentierE.Velo-SuárezL.GuiraudJ.BuiS.et al. (2023). 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 (2), e0225122. doi: 10.1128/spectrum.02251-22

  • 25

    EnaudR.PrevelR.CiarloE.BeaufilsF.WieërsG.GueryB.et al. (2020). The gut-lung axis in health and respiratory diseases: A place for inter-organ and inter-kingdom crosstalks. Front. Cell Infect. Microbiol.10, 9. doi: 10.3389/fcimb.2020.00009

  • 26

    EnaudR.VandenborghtL. E.CoronN.BazinT.PrevelR.SchaeverbekeT.et al. (2018). The mycobiome: A neglected component in the microbiota-gut-brain axis. Microorganisms6 (1), 22. doi: 10.3390/microorganisms6010022

  • 27

    FlumeP. A.LiouT. G.BorowitzD. S.LiH.YenK.OrdoñezC. L.et al. (2012). Ivacaftor in subjects with cystic fibrosis who are homozygous for the F508del-CFTR mutation. Chest142 (3), 718724. doi: 10.1378/chest.11-2672

  • 28

    FrançoiseA.Héry-ArnaudG. (2020). The microbiome in cystic fibrosis pulmonary disease. Genes11 (5), 536. doi: 10.3390/genes11050536

  • 29

    GraeberS. Y.BoutinS.WielpützM. O.JoachimC.FreyD. L.WegeS.et al. (2021). 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 (6), 971–980. doi: 10.1513/AnnalsATS.202008-1054OC

  • 30

    Hallen-AdamsH. E.KachmanS. D.KimJ.LeggeR. M.MartínezI. (2015). Fungi inhabiting the healthy human gastrointestinal tract: a diverse and dynamic community. Fungal Ecol.15, 917. doi: 10.1016/j.funeco.2015.01.006

  • 31

    HalnesI.BainesK. J.BerthonB. S.MacDonald-WicksL. K.GibsonP. G.WoodL. G. (2017). Soluble fibre meal challenge reduces airway inflammation and expression of GPR43 and GPR41 in asthma. Nutrients9 (1), 57. doi: 10.3390/nu9010057

  • 32

    HarrisJ. K.WagnerB. D.ZemanickE. T.RobertsonC. E.StevensM. J.HeltsheS. L.et al. (2020). Changes in airway microbiome and inflammation with ivacaftor treatment in patients with cystic fibrosis and the G551D mutation. Ann. ATS17 (2), 212220. doi: 10.1513/AnnalsATS.201907-493OC

  • 33

    HeijermanH. G. M.McKoneE. F.DowneyD. G.Van BraeckelE.RoweS. M.TullisE.et al. (2019). Efficacy and safety of the elexacaftor plus tezacaftor plus ivacaftor combination regimen in people with cystic fibrosis homozygous for the F508del mutation: a double-blind, randomised, phase 3 trial. Lancet394 (10212), 19401948. doi: 10.1016/S0140-6736(19)32597-8

  • 34

    HisertK. B.HeltsheS. L.PopeC.JorthP.WuX.EdwardsR. M.et al. (2017). Restoring cystic fibrosis transmembrane conductance regulator function reduces airway bacteria and inflammation in people with cystic fibrosis and chronic lung infections. Am. J. Respir. Crit. Care Med.195 (12), 16171628. doi: 10.1164/rccm.201609-1954OC

  • 35

    HoenA. G.LiJ.MoultonL. A.O’TooleG. A.HousmanM. L.KoestlerD. C.et al. (2015). Associations between gut microbial colonization in early life and respiratory outcomes in cystic fibrosis. J. Pediatr.167 (1), 138147.e1-3. doi: 10.1016/j.jpeds.2015.02.049

  • 36

    HoffmannC.DolliveS.GrunbergS.ChenJ.LiH.WuG. D.et al. (2013). Archaea and fungi of the human gut microbiome: correlations with diet and bacterial residents. PloS One8 (6), e66019. doi: 10.1371/journal.pone.0066019

  • 37

    HongG.DanielS. G.LeeJ. J.BittingerK.GlaserL.MatteiL. M.et al. (2023). Distinct community structures of the fungal microbiome and respiratory health in adults with cystic fibrosis. J. Cystic Fibrosis. 22 (4), 636–643. doi: 10.1016/j.jcf.2023.02.003

  • 38

    HubertD.ChironR.CamaraB.GrenetD.PrévotatA.BassinetL.et al. (2017). Real-life initiation of lumacaftor/ivacaftor combination in adults with cystic fibrosis homozygous for the Phe508del CFTR mutation and severe lung disease. J. Cyst Fibros16 (3), 388391. doi: 10.1016/j.jcf.2017.03.003

  • 39

    JenningsM. T.DezubeR.ParanjapeS.WestN. E.HongG.BraunA.et al. (2017). An observational study of outcomes and tolerances in patients with cystic fibrosis initiated on lumacaftor/ivacaftor. Ann. Am. Thorac. Soc14 (11), 16621666. doi: 10.1513/AnnalsATS.201701-058OC

  • 40

    KarbD. B.CummingsL. C. (2021). The intestinal microbiome and cystic fibrosis transmembrane conductance regulator modulators: emerging themes in the management of gastrointestinal manifestations of cystic fibrosis. Curr. Gastroenterol. Rep.23 (10), 17. doi: 10.1007/s11894-021-00817-2

  • 41

    KonstanM. W.McKoneE. F.MossR. B.MarigowdaG.TianS.WaltzD.et al. (2017). Assessment of safety and efficacy of long-term treatment with combination lumacaftor and ivacaftor therapy in patients with cystic fibrosis homozygous for the F508del-CFTR mutation (PROGRESS): a phase 3, extension study. Lancet Respir. Med.5 (2), 107118. doi: 10.1016/S2213-2600(16)30427-1

  • 42

    KristensenM. I.de Winter-de GrootK. M.BerkersG.ChuM. L. J. N.ArpK.GhijsenS.et al. (2021). Individual and group response of treatment with ivacaftor on airway and gut microbiota in people with CF and a S1251N mutation. JPM11 (5), 350. doi: 10.3390/jpm11050350

  • 43

    LabasteA.OhlmannC.MainguyC.JubinV.PercevalM.CoutierL.et al. (2017). Real-life acute lung function changes after lumacaftor/ivacaftor first administration in pediatric patients with cystic fibrosis. J. Cyst Fibros16 (6), 709712. doi: 10.1016/j.jcf.2017.05.002

  • 44

    LamG. Y.GoodwinJ.WilcoxP. G.QuonB. S. (2021). Sex disparities in cystic fibrosis: review on the effect of female sex hormones on lung pathophysiology and outcomes. ERJ Open Res.7 (1), 0047502020. doi: 10.1183/23120541.00475-2020

  • 45

    LamoureuxC.GuillouxC. A.BeauruelleC.Jolivet-GougeonA.Héry-ArnaudG. (2019). Anaerobes in cystic fibrosis patients’ airways. Crit. Rev. Microbiol.45 (1), 103117. doi: 10.1080/1040841X.2018.1549019

  • 46

    LommatzschS. T.Taylor-CousarJ. L. (2019). The combination of tezacaftor and ivacaftor in the treatment of patients with cystic fibrosis: clinical evidence and future prospects in cystic fibrosis therapy. Ther. Adv. Respir. Dis.13, 1753466619844424. doi: 10.1177/1753466619844424

  • 47

    MadanJ. C.KoestlerD. C.StantonB. A.DavidsonL.MoultonL. A.HousmanM. L.et al. (2012). Serial analysis of the gut and respiratory microbiome in cystic fibrosis in infancy: interaction between intestinal and respiratory tracts and impact of nutritional exposures. Ausubel FM editor mBio.3 (4), e00251e00212. doi: 10.1128/mBio.00251-12

  • 48

    MarslandB. J.GollwitzerE. S. (2014). Host-microorganism interactions in lung diseases. Nat. Rev. Immunol.14 (12), 827835. doi: 10.1038/nri3769

  • 49

    McKoneE. F.EmersonS. S.EdwardsK. L.AitkenM. L. (2003). Effect of genotype on phenotype and mortality in cystic fibrosis: a retrospective cohort study. Lancet361 (9370), 16711676. doi: 10.1016/S0140-6736(03)13368-5

  • 50

    MeoliA.FainardiV.DeolmiM.ChioprisG.MarinelliF.CaminitiC.et al. (2021). State of the art on approved cystic fibrosis transmembrane conductance regulator (CFTR) modulators and triple-combination therapy. Pharmaceuticals14 (9), 928. doi: 10.3390/ph14090928

  • 51

    MiddletonP. G.MallM. A.DřevínekP.LandsL. C.McKoneE. F.PolineniD.et al. (2019). Elexacaftor-tezacaftor-ivacaftor for cystic fibrosis with a single phe508del allele. N Engl. J. Med.381 (19), 18091819. doi: 10.1056/NEJMoa1908639

  • 52

    Moran LosadaP.ChouvarineP.DordaM.HedtfeldS.MielkeS.SchulzA.et al. (2016). The cystic fibrosis lower airways microbial metagenome. ERJ Open Res.2 (2), 0009602015. doi: 10.1016/S1569-1993(16)30337-X

  • 53

    NashA. K.AuchtungT. A.WongM. C.SmithD. P.GesellJ. R.RossM. C.et al. (2017). The gut mycobiome of the Human Microbiome Project healthy cohort. Microbiome5 (1), 153. doi: 10.1186/s40168-017-0373-4

  • 54

    NataliniJ. G.SinghS.SegalL. N. (2022). The dynamic lung microbiome in health and disease. Nat. Rev. Microbiol.16, 114. doi: 10.1038/s41579-022-00821-x

  • 55

    NeerincxA. H.WhitesonK.PhanJ. L.BrinkmanP.Abdel-AzizM. I.WeersinkE. J. M.et al. (2021). Lumacaftor/ivacaftor changes the lung microbiome and metabolome in cystic fibrosis patients. ERJ Open Res.7 (2), 0073102020. doi: 10.1183/23120541.00731-2020

  • 56

    NguyenL. D. N.ViscogliosiE.DelhaesL. (2015). The lung mycobiome: an emerging field of the human respiratory microbiome. Front. Microbiol.6, 89. doi: 10.3389/fmicb.2015.00089

  • 57

    OoiC. Y.SyedS. A.RossiL.GargM.NeedhamB.AvolioJ.et al. (2018). Impact of CFTR modulation with ivacaftor on gut microbiota and intestinal inflammation. Sci. Rep.8 (1), 17834. doi: 10.1038/s41598-018-36364-6

  • 58

    PallenbergS. T.PustM. M.RosenboomI.HansenG.WiehlmannL.DittrichA. M.et al. (2022). Impact of elexacaftor/tezacaftor/ivacaftor therapy on the cystic fibrosis airway microbial metagenome. Goldberg JB editor Microbiol. Spectr.10 (5), e01454e01422. doi: 10.1128/spectrum.01454-22

  • 59

    PelegA. Y.ChooJ. M.LanganK. M.EdgeworthD.KeatingD.WilsonJ.et al. (2018). Antibiotic exposure and interpersonal variance mask the effect of ivacaftor on respiratory microbiota composition. J. Cyst Fibros17 (1), 5056. doi: 10.1016/j.jcf.2017.08.002

  • 60

    PopeC.VoA.HaydenH.WeissE.DurfeyS.McNamaraS.et al. (2021). Changes in fecal microbiota with CFTR modulator therapy: A pilot study. J. Cystic Fibrosis20 (5), 742746. doi: 10.1016/j.jcf.2020.12.002

  • 61

    RamseyB. W.DaviesJ.McElvaneyN. G.TullisE.BellS. C.DřevínekP.et al. (2011). A CFTR potentiator in patients with cystic fibrosis and the G551D mutation. N Engl. J. Med.365 (18), 16631672. doi: 10.1056/NEJMoa1105185

  • 62

    RodriguesV. F.Elias-OliveiraJ.PereiraÍSPereiraJ. A.BarbosaS. C.MaChadoM. S. G.et al. (2022). Akkermansia muciniphila and gut immune system: A good friendship that attenuates inflammatory bowel disease, obesity, and diabetes. Front. Immunol.13, 934695. doi: 10.3389/fimmu.2022.934695

  • 63

    RonanN. J.EinarssonG. G.DeaneJ.FouhyF.ReaM.HillC.et al. (2022). Modulation, microbiota and inflammation in the adult CF gut: A prospective study. J. Cyst Fibros21 (5), 837843. doi: 10.1016/j.jcf.2022.06.002

  • 64

    RoweS. M.DainesC.RingshausenF. C.KeremE.WilsonJ.TullisE.et al. (2017). Tezacaftor-ivacaftor in residual-function heterozygotes with cystic fibrosis. N Engl. J. Med.377 (21), 20242035. doi: 10.1056/NEJMoa1709847

  • 65

    RoweS. M.HeltsheS. L.GonskaT.DonaldsonS. H.BorowitzD.GelfondD.et al. (2014). Clinical mechanism of the cystic fibrosis transmembrane conductance regulator potentiator ivacaftor in G551D-mediated cystic fibrosis. Am. J. Respir. Crit. Care Med.190 (2), 175184. doi: 10.1164/rccm.201404-0703OC

  • 66

    SchauppL.AddanteA.VöllerM.FentkerK.KuppeA.BarduaM.et al. (2023). Longitudinal effects of elexacaftor/tezacaftor/ivacaftor on sputum viscoelastic properties, airway infection and inflammation in patients with cystic fibrosis. Eur. Respir. J.62 (2), 2202153. doi: 10.1183/13993003.02153-2022

  • 67

    SecundaK. E.GuimbellotJ. S.JovanovicB.HeltsheS. L.SagelS. D.RoweS. M.et al. (2020). Females with cystic fibrosis demonstrate a differential response profile to ivacaftor compared with males. Am. J. Respir. Crit. Care Med.201 (8), 996998. doi: 10.1164/rccm.201909-1845LE

  • 68

    SokolH.LeducqV.AschardH.PhamH. P.JegouS.LandmanC.et al. (2017). Fungal microbiota dysbiosis in IBD. Gut66 (6), 10391048. doi: 10.1136/gutjnl-2015-310746

  • 69

    SosinskiL. M.CMH.NeugebauerK. A.GhuneimL. A. J.GuziorD. V.Castillo-BahenaA.et al. (2022). A restructuring of microbiome niche space is associated with Elexacaftor-Tezacaftor-Ivacaftor therapy in the cystic fibrosis lung. J. Cystic Fibrosis21 (6), 9961005. doi: 10.1016/j.jcf.2021.11.003

  • 70

    SporA.KorenO.LeyR. (2011). Unravelling the effects of the environment and host genotype on the gut microbiome. Nat. Rev. Microbiol.9 (4), 279290. doi: 10.1038/nrmicro2540

  • 71

    Taylor-CousarJ. L.MunckA.McKoneE. F.van der EntC. K.MoellerA.SimardC.et al. (2017). Tezacaftor-ivacaftor in patients with cystic fibrosis homozygous for phe508del. N Engl. J. Med.377 (21), 20132023. doi: 10.1056/NEJMoa1709846

  • 72

    TrompetteA.GollwitzerE. S.YadavaK.SichelstielA. K.SprengerN.Ngom-BruC.et al. (2014). Gut microbiota metabolism of dietary fiber influences allergic airway disease and hematopoiesis. Nat. Med.20 (2), 159166. doi: 10.1038/nm.3444

  • 73

    Vaincre la Mucoviscidose (2022). Registre français de la mucoviscidose – Bilan des données 2021 (Paris). Available at: https://www.vaincrelamuco.org/sites/default/files/registre_francais_de_la_mucoviscidose_bilan_2021_0.pdf.

  • 74

    WainwrightC. E.ElbornJ. S.RamseyB. W.MarigowdaG.HuangX.CipolliM.et al. (2015). Lumacaftor-ivacaftor in patients with cystic fibrosis homozygous for phe508del CFTR. N Engl. J. Med.373 (3), 220231. doi: 10.1056/NEJMoa1409547

  • 75

    WillgerS. D.GrimS. L.DolbenE. L.ShipunovaA.HamptonT. H.MorrisonH. G.et al. (2014). Characterization and quantification of the fungal microbiome in serial samples from individuals with cystic fibrosis. Microbiome2, 40. doi: 10.1186/2049-2618-2-40

  • 76

    YamadaA.KomakiY.KomakiF.MicicD.ZullowS.SakurabaA. (2018). Risk of gastrointestinal cancers in patients with cystic fibrosis: a systematic review and meta-analysis. Lancet Oncol.19 (6), 758767. doi: 10.1016/S1470-2045(18)30188-8

  • 77

    YiB.DalpkeA. H.BoutinS. (2021). Changes in the cystic fibrosis airway microbiome in response to CFTR modulator therapy. Front. Cell Infect. Microbiol.11, 548613. doi: 10.3389/fcimb.2021.548613

  • 78

    ZemanickE. T.Taylor-CousarJ. L.DaviesJ.GibsonR. L.MallM. A.McKoneE. F.et al. (2021). A Phase 3 Open-Label Study of Elexacaftor/Tezacaftor/Ivacaftor in Children 6 through 11 Years of Age with Cystic Fibrosis and at Least One F508del Allele. Am. J. Respir. Crit. Care Med.203 (12), 15221532. doi: 10.1164/rccm.202102-0509OC

  • 79

    ZhangI.PletcherS. D.GoldbergA. N.BarkerB. M.CopeE. K. (2017). Fungal microbiota in chronic airway inflammatory disease and emerging relationships with the host immune response. Front. Microbiol.8, 2477. doi: 10.3389/fmicb.2017.02477

  • 80

    ZhaoJ.SchlossP. D.KalikinL. M.CarmodyL. A.FosterB. K.PetrosinoJ. F.et al. (2012). Decade-long bacterial community dynamics in cystic fibrosis airways. Proc. Natl. Acad. Sci. USA109 (15), 58095814. doi: 10.1073/pnas.1120577109

Summary

Keywords

gut-lung axis, microbiota, mycobiota, cystic fibrosis, CFTR modulators

Citation

Lussac-Sorton F, Charpentier É, Imbert S, Lefranc M, Bui S, Fayon M, Berger P, Enaud R and Delhaes L (2023) The gut-lung axis in the CFTR modulator era. Front. Cell. Infect. Microbiol. 13:1271117. doi: 10.3389/fcimb.2023.1271117

Received

01 August 2023

Accepted

30 August 2023

Published

15 September 2023

Volume

13 - 2023

Edited by

Suhana Chattopadhyay, College Park, United States

Reviewed by

Vedita Anand Singh, The Scripps Research Institute, United States; Priyanka Sharma, Rutgers, The State University of New Jersey, United States; Ruta Jog, Rutgers, The State University of New Jersey, United States

Updates

Copyright

*Correspondence: Florian Lussac-Sorton, ; Laurence Delhaes,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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