Evidence map›Paper›PMID 42010628›Full record

ArticleRespiratory research2026

Multi-omics characterises early immune divergence associated with infection-related deterioration after lung transplantation.

Yaru Liu, Licheng Song, Yi Yang, Jia Liu, Wenjing Guo, Peng Sun, Keruo Wang, Ruofan Su, Dingyun Song, Junjie Du and 4 more

Abstract read
In one paragraph

Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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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

14 authors.

Yaru Liu *Senior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Licheng Song *Senior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Yi Yang *Senior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Jia Liu *Lung Transplant Center, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Wenjing Guo *Senior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Peng SunLung Transplant Center, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Keruo WangDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Ruofan SuSenior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Dingyun SongSenior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Junjie DuSenior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China.
Junbo LiInstitute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Key Laboratory of Organ Transplantation, Ministry of Education, NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, Hubei, China.
Jingyu ChenLung Transplant Center, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China. chenjy@wuxiph.com.
Bo WuLung Transplant Center, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China. fyz333@126.com.
Lixin XieSenior Department of Respiratory and Critical Care Medicine, 8th Medical Center of Chinese PLA General Hospital, Beijing, China. xielx301@126.com.

Funding

the National Natural Science Foundation of China 82172109Wuxi Municipal Bureau on Science and Technology Z202215
6 · The paper itself

Abstract

backgroundEarly adverse outcomes after lung transplantation often manifest as infection-associated clinical deterioration. Such events are closely intertwined with dysregulated perioperative immune reconstitution and are influenced by immunosuppressive therapy. A systematic characterisation of the perioperative immune landscape and potentially actionable pathways may facilitate understanding of early trajectory divergence and inform perioperative monitoring and management.

methodsWe conducted longitudinal sampling and immune profiling at predefined perioperative time points in lung transplant recipients. A deeply profiled discovery cohort was constructed using multi-omics approaches including single-cell transcriptomics, B-cell receptor sequencing, plasma proteomics, and flow cytometry, and key findings were externally validated in an independent validation cohort. Healthy donors provided reference baselines for peripheral immune states.

resultsOutcome-associated immune divergence was detectable early and became more apparent by post-operative Day 7 (T2). At baseline (T0), recipients who later died tended to show a higher burden of CD177⁺ neutrophils, which may reflect a subclinical inflammatory state and a propensity for NETs-related activity. By T2, the Death group more frequently exhibited persistent inflammatory and infection-related deterioration with features of maladaptive humoral reconstitution, including plasmablast/plasma cell expansion, naïve B-cell depletion, skewed BCR clonality with restricted somatic hypermutation, and heightened BAFF/NETs activity alongside IgA-biased responses. The Live group generally showed a more resolving inflammatory course with relative preservation of B-cell homeostasis.

conclusionsThese data suggest that CD177⁺ neutrophil–linked NETs–BAFF activity may contribute to early adverse trajectories after lung transplantation and may be informative for perioperative risk stratification. A composite assessment at T0 and T2 integrating CD177⁺ neutrophils, BAFF/NETs readouts, B-cell dynamics and immunoglobulin profiles may help identify recipients at risk of infection-related deterioration and nominate the first post-operative week as a potential window for carefully timed immune modulation.

Indexed as

Lung TransplantationPostoperative ComplicationsAdultAgedB-LymphocytesCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedMultiomicsNeutrophilsProteomicsBAFFCD177⁺ neutrophilsLung transplantationMulti-omicsNETosis

Identifiers

PMID42010628
PMCPMC13198059

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.