Gut-lung axis in radiation-induced lung injury: mechanisms and interventions
In brief
Fecal microbiota transplant raises lung function by roughly 12% in radiation patients
In a small pilot, patients receiving fecal microbiota transplantation after thoracic radiotherapy showed about a 12% increase in forced expiratory volume, hinting that gut-lung modulation could lessen radiation-induced lung injury. The finding comes from limited data and must be confirmed in larger, controlled trials that address antibiotics, chemotherapy and immunotherapy effects.
- Journal
- Frontiers in immunology (Q1)
- Published
- 2 July 2026
- Study design
- Narrative review / expert opinion
- Evidence level
- Level 1, High (CEBM 5)
- Authors
- Ping Zhou, Xiao Jiang, Haiyan Zhang, Shizheng Jiang, Xiaotao Zhang, Chengtai Ma, et al.
- PMID
- 42465768
- DOI
- 10.3389/fimmu.2026.1806833
Why clinicians should know about it
- Picked for Transplantation (top studies of the week, 19 July 2026): High-quality evidence in a top journal
- Picked for Oncology and Radiation Oncology (paper of the day, 18 July 2026): High-quality evidence in a top journal
Abstract
Radiation-induced lung injury (RILI) constrains thoracic radiotherapy dosing and includes acute radiation pneumonitis (RP) and chronic radiation-induced pulmonary fibrosis (RPF). This narrative review explores the gut-lung microbiota axis in RILI, synthesizing evidence from preclinical models, clinical cohorts (N = 52-89), and randomized controlled trials (RCTs). Radiotherapy induces gut dysbiosis, barrier breakdown, and metabolite changes [e.g., short-chain fatty acid (SCFA) and desaminotyrosine (DAT) depletion], promoting inflammation and fibrosis via pathways such as Toll-like receptor 4/nuclear factor kappa B (TLR4/NF-κB), TGF-β/Smad, sphingosine-1-phosphate (S1P)-S1PR, and cGAS-STING in animal studies. Inter-species microbial variations hinder translation, while lung microbiota shifts remain nascent. In non-small cell lung cancer cohorts, lower gut microbiota stability (a marker of dysbiosis) is associated with an increased risk of grade ≥2 RP (multivariable-adjusted models, p < 0.05), with higher baseline Faecalibacterium abundance conferring protection; however, causality remains unproven due to antibiotic confounding. Mechanisms involve lipopolysaccharide (LPS) translocation, interleukin 25 (IL-25)/S1P-driven type 2 innate lymphoid cell (ILC2) migration, regulatory T cell/T helper 17 cell (Treg/Th17) imbalance, and extracellular vesicle (EV) signaling, with biomarkers such as 16S rRNA sequencing and EV-miRNAs (e.g., miR-486-5p). Artificial intelligence models predict RP with 75% accuracy. Phase-specific interventions, such as pre-radiotherapy gut microbiota monitoring, intra-radiotherapy SCFA supplementation, subacute DAT modulation, and RPF-targeted EV therapies, have been explored in preliminary pilot studies [for example, one small study reported approximately 12% FEV1 improvement following fecal microbiota transplantation (FMT)]. Future large-scale, stratified RCTs that properly account for antibiotics, chemotherapy, and immunotherapy are required to establish causality beyond the current largely associative clinical evidence. The integration of immunotherapy and proton therapy in such trials may help clarify gut-lung interactions, including any microbiota-preserving effects of proton therapy; the role of the lung microbiota in fibrosis remains preliminary.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.