Context-specific regulatory genetic variation in MTOR dampens neutrophil-T cell crosstalk in pneumonia-associated sepsis

Sepsis is a heterogeneous clinical syndrome with a high mortality, requiring personalised stratification strategies. Here, we characterise genetic variation that modulates MTOR, a critical regulator of metabolism and immune responses in sepsis. The effects are context specific, involving a regulatory element that affects MTOR expression in activated T cells with opposite effect in neutrophils. We show that the G-allele of the lead variant, rs4845987, which is associated with decreased risk of type 2 diabetes, reduces MTOR expression in T cells and improves survival in sepsis due to pneumonia, with effects specific to sepsis endotype. Using ex vivo models, we demonstrate that activated T cells promote immunosuppressive neutrophils through released cytokines, a process dampened by hypoxia and the mTOR inhibitor rapamycin. Our work demonstrates an epigenetic mechanism fine-tuning MTOR transcription and T cell activity via the variant-containing regulatory element, which further exhibits an allelic effect upon vitamin C treatment. These findings reveal how genetic variation interacts with disease state to modulate immune cell-cell communication, providing a framework for stratified therapy in sepsis.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-02-25
DOI
https://doi.org/10.1038/s41467-026-69919-7
Primary Topic
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Context-specific regulatory genetic variation in MTOR dampens neutrophil-T cell crosstalk in pneumonia-associated sepsis

Giuseppe Scozzafava, Bora Ozcan, Ciarán O’Neill, Ethan Prince et al.
Nature Communications
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
article

Context-specific regulatory genetic variation in MTOR dampens neutrophil-T cell crosstalk in pneumonia-associated sepsis

Giuseppe Scozzafava, Bora Ozcan, Ciarán O’Neill, Ethan Prince, Emma E. Davenport, Andrew Brown, Amanda Yoon-Yee Chong, Alicia Jia, Pamela Maclean, Katie L. Burnham, Kiki Cano-Gamez, Chloe Wainwright, Imogen Dyne, Julian C. Knight, James O. J. Davies, Alexander J. Mentzer, Roman M. Doll, Hanyu Qin, Ping Zhang
article en

Abstract

Sepsis is a heterogeneous clinical syndrome with a high mortality, requiring personalised stratification strategies. Here, we characterise genetic variation that modulates MTOR, a critical regulator of metabolism and immune responses in sepsis. The effects are context specific, involving a regulatory element that affects MTOR expression in activated T cells with opposite effect in neutrophils. We show that the G-allele of the lead variant, rs4845987, which is associated with decreased risk of type 2 diabetes, reduces MTOR expression in T cells and improves survival in sepsis due to pneumonia, with effects specific to sepsis endotype. Using ex vivo models, we demonstrate that activated T cells promote immunosuppressive neutrophils through released cytokines, a process dampened by hypoxia and the mTOR inhibitor rapamycin. Our work demonstrates an epigenetic mechanism fine-tuning MTOR transcription and T cell activity via the variant-containing regulatory element, which further exhibits an allelic effect upon vitamin C treatment. These findings reveal how genetic variation interacts with disease state to modulate immune cell-cell communication, providing a framework for stratified therapy in sepsis.

Nature Communications
Centre for Human Genetics (GB), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), University of Exeter (GB), Wellcome Sanger Institute (GB), National Institute for Health and Care Research (GB), University of Oxford (GB), MRC Weatherall Institute of Molecular Medicine (GB), Oxford BioMedica (United Kingdom) (GB)
Good health and well-being
Openalex Percentile: Top 42%
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.