Evidence map›Paper›PMID 42834046›Full record

ArticleSignal transduction and targeted therapy2026

Source-specific priming of lung NK cells by Pseudomonas LPS enhances resistance to bacterial pneumonia.

Xin Yang, Haoqi Liu, Quanhui Xu, Jian Peng, Huanxing Sun, Deanna Hausman, Ximing Ran, Erica Herzog, Ye Zhang, F Susan Wong and 8 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Xin Yang *School of Artificial Intelligence in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID http://orcid.org/0000-0001-7799-7425
Haoqi Liu *Department of Cardiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID http://orcid.org/0009-0001-9930-9088
Quanhui XuDepartment of Urology, School of Medicine, Yale University, New Haven, CT, USA.
Jian PengSection of Endocrinology, Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Huanxing SunSection of Pulmonary, Critical Care & Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Deanna HausmanDepartment of Microbial Pathogenesis, School of Medicine, Yale University, New Haven, CT, USA.
Ximing RanDepartment of Computer Science, Emory College of Arts and Sciences, Emory University, Atlanta, GA, USA.ORCID http://orcid.org/0009-0004-5414-1885
Erica HerzogSection of Pulmonary, Critical Care & Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Ye ZhangSection of Endocrinology, Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
F Susan WongDivision of Infection and Immunity, School of Medicine and Systems Immunity University Research Institute, Cardiff University, Cardiff, UK.
Xin ChenSchool of Artificial Intelligence in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Liqiang GuoSchool of Artificial Intelligence in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Han GeSchool of Artificial Intelligence in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yanlong HongSchool of Artificial Intelligence in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lei ZhangSchool of Artificial Intelligence in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Li WenSection of Endocrinology, Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA. li.wen@yale.edu.
Ruirui WangSchool of Artificial Intelligence in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. wangruirui@shutcm.edu.cn.
Guang JiState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. jg@shutcm.edu.cn.ORCID http://orcid.org/0000-0003-0842-3676

Funding

Identifying immunoregulatory gut bacteria in type 1 diabetes and autoimmunityR01DK130318 · NIDDK · YALE UNIVERSITY · PI WEN, LI · 2022 to 2025
$1.6M
National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 82530124NIDDK NIH HHS R01 DK130318Shanghai Municipal Education Commission 2021 Science and Technology 02-37U.S. Department of Health & Human Services | National Institutes of Health (NIH) RO1DK130318
6 · The paper itself

Abstract

Bacterial pneumonia is a major cause of morbidity and mortality in elderly individuals, yet how mucosal innate immunity changes with age remains unclear. We detected bacterial DNA, particularly signatures of Pseudomonas, in the circulation of healthy elderly individuals, suggesting that chronic exposure to low-dose microbial components occurs during aging. Using murine models, we found that intratracheal delivery of a low dose of Pseudomonas aeruginosa lipopolysaccharide (LPS) strongly protected against bacterial pneumonia through a microbiota-dependent mechanism, whereas Escherichia coli LPS had no detectable protective effect. This protective response occurred in the absence of adaptive immunity and was mediated by lung-resident natural killer (NK) cells. Transcriptomic profiling revealed that P. aeruginosa LPS selectively upregulated the complement receptor C3aR1 in pulmonary NK cells, increasing their IFN-γ production and LFA-1-dependent adhesion to target cells. Adoptive transfer of P. aeruginosa LPS-conditioned pulmonary NK cells conferred protection to naïve recipients, whereas silencing C3aR1 abrogated this effect. This localized innate training occurred without systemic inflammation and required the presence of a commensal microbiota. These findings reveal that structurally distinct LPS from P. aeruginosa programs lung NK cells toward a C3aR1-driven, high-affinity effector state that enhances resistance to bacterial pneumonia. Source-specific innate conditioning of mucosal NK cells may provide a tissue-targeted strategy to strengthen pulmonary host defense, particularly in aging populations vulnerable to respiratory infections.

Indexed as

Killer Cells, NaturalLipopolysaccharidesLungPneumonia, BacterialPseudomonas aeruginosaPseudomonas InfectionsAnimalsHumansImmunity, InnateMaleMiceReceptors, ComplementTrained ImmunityLipopolysaccharidesReceptors, Complement

Identifiers

PMID42834046
PMCPMC13638999

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.