Cancer ResearchResearch PaperOpen Access

Obesogenic diets and gut bacteria team up to boost cancer immunotherapy in mice

Across 12 mouse diet models, anti-PD-1 response varied with diet but showed no significant association with metabolic measures. Separately, L. johnsonii plus an obesogenic diet promoted tumor regression in germ-free mice.

Friday, November 6, 2026 0 views
Published in Nature
a mouse cage in a lab animal facility beside petri dishes of bacterial colonies and a pipette tray

Summary

Higher BMI is associated with better immune checkpoint inhibitor outcomes in some cancers, despite obesity's health risks. Researchers tested 12 mouse diets, focusing on a lung cancer model. Anti-PD-1 sensitivity varied by diet but showed no significant association with weight, fat mass, glucose intolerance, insulin, leptin or a composite metabolic score. The abstract reports that obesogenic diets supported microbial ecosystems capable of restoring sensitivity following short-term diet switches or fecal transplants from non-responder models. In germ-free mice, Lactobacillus johnsonii together with an obesogenic diet promoted tumor regression. Human-to-mouse stool transplants from high-BMI donors also enhanced treatment efficacy compared with normal-BMI donors. These preclinical findings suggest that diet–microbiome interactions help explain the BMI association; they do not support adopting a high-fat diet during cancer treatment.

Detailed Summary

Immune checkpoint inhibitors (ICIs) have transformed cancer care, yet durable responses occur in only a minority of patients. Epidemiological studies associate higher BMI with better ICI outcomes in several cancers, including lung cancer and melanoma. This study explored how diet, metabolic dysfunction and the gut microbiome interact using 12 mouse diet models, focusing primarily on lung cancer.

The diets varied in nutrient sources and included conventional Low Fat, High Fat and Western diets, diets modeled on different dietary patterns, and fiber-substitution diets. After 15 weeks, the researchers characterized body weight, body composition, glucose tolerance, insulin and leptin, and generated a composite metabolic score. Higher scores correlated inversely with circulating CD4+ T cells (r = -0.80, P = 0.0025) and CD8+ T cells (r = -0.59, P = 0.049). In tumor-bearing mice, higher scores correlated with a lower blood lymphoid-to-myeloid ratio (r = -0.82, P = 0.0019), more neutrophils and fewer T cells. HKP1 lung tumor growth did not correlate with body weight or metabolic score.

Bacterial 16S rRNA gene sequencing showed substantial diet-associated differences in gut microbiota. Higher-metabolic-score diets were enriched in several bacterial families, including Lactobacillaceae. Anti-PD-1 sensitivity varied strongly by diet, but across the 12 diets there were no significant associations with body weight, fat mass, glucose intolerance, insulin, leptin or metabolic score. Nevertheless, 4 of 6 obesogenic diets (66.7%) were associated with ICI response, compared with 2 of 6 non-obesogenic diets (33.3%).

The abstract reports additional experiments whose detailed methods and results are not included in the supplied text. Obesogenic diets supported persistent microbial ecosystems capable of restoring ICI sensitivity following short-term diet switches or fecal microbiota transplants from non-responder models. Monocolonization of germ-free mice with favorable bacteria such as Lactobacillus johnsonii, together with an obesogenic diet, synergistically promoted tumor regression through enrichment of microbiota-derived aromatic amino acid metabolites.

Also according to the abstract, human-to-mouse transplants from high-BMI donors enhanced ICI efficacy compared with normal-BMI donors. An obesogenic diet restored sensitivity following transplantation from a non-responder patient. These are outcomes in recipient mice, not evidence of benefit in human patients.

The findings suggest that diet-dependent microbial biology contributes to the association between obesity and ICI efficacy, rather than metabolic dysfunction alone explaining it. The work is preclinical, primarily uses a lung cancer model, and includes small treatment groups. The supplied text is truncated, limiting assessment of the later experiments. Nothing here supports adopting a high-fat diet during cancer treatment.

Key Findings

  • Across 12 diets, ICI sensitivity showed no significant association with body weight, fat mass, glucose intolerance, insulin, leptin or composite metabolic score
  • 4 of 6 obesogenic diets (66.7%) were associated with anti-PD-1 responses versus 2 of 6 non-obesogenic diets (33.3%)
  • Metabolic score correlated inversely with blood CD4+ T cells (r = -0.80, P = 0.0025) and the blood lymphoid-to-myeloid ratio in tumor-bearing mice (r = -0.82, P = 0.0019)
  • The abstract reports that obesogenic diets supported microbial ecosystems capable of restoring ICI sensitivity following short-term diet switches or FMT from non-responder models
  • Gut microbiota composition varied by diet, and higher-metabolic-score diets were enriched in Lactobacillaceae and other bacterial families
  • According to the abstract, L. johnsonii monocolonization together with an obesogenic diet promoted tumor regression in germ-free mice through enrichment of microbiota-derived aromatic amino acid metabolites
  • Per the abstract, FMT from high-BMI human donors enhanced ICI efficacy in mice versus normal-BMI donors, and an obesogenic diet restored sensitivity after non-responder patient FMT

Methodology

Researchers compared 12 custom mouse diets over 15 weeks, measuring body weight, body composition, glucose tolerance, insulin, leptin and immune populations, and generating a composite metabolic score. They primarily used the KrasG12D Trp53-/- HKP1 lung cancer model and compared anti-PD-1 with IgG controls. Sample sizes varied by assay: body-weight tracking included 14–15 mice per diet across two independent cohorts, while the initial ICI experiment used 3–5 mice per treatment group within each diet. Detailed methods in the supplied text include 16S rRNA gene sequencing, flow cytometry, two-tailed Spearman correlations, Mann–Whitney tests and LEfSe with FDR thresholds. The abstract additionally reports short-term diet-switch experiments, FMT, germ-free monocolonization and microbial metabolite findings, but their detailed methods are not supplied.

Study Limitations

The study is preclinical and focuses primarily on one mouse lung cancer model. The initial anti-PD-1 comparison used small groups of 3–5 mice, and mouse diets only approximate human dietary patterns. Human-to-mouse FMT findings do not establish benefit in patients. The supplied text ends during the initial diet–ICI results, so later intervention methods, sample sizes, donor counts and detailed metabolite findings cannot be assessed. Conflict-of-interest details were not included in the supplied text.

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