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Record W4406466892 · doi:10.1186/s12967-025-06100-6

Increased pro-SFTPB in HDL promotes the pro-inflammatory transition of HDL and represents a sign of poor prognosis in ARDS patients

2025· article· en· W4406466892 on OpenAlexfundno aff
Liu Yang, Zhuo Xu, Zhenyan Wang, Fangping Ding, Zhipeng Wu, Xiaoqian Shi, Jing Wang, Yingmin Ma, Jiawei Jin

Bibliographic record

VenueJournal of Translational Medicine · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicParaoxonase enzyme and polymorphisms
Canadian institutionsnot available
FundersInstitute of GeneticsInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences
KeywordsARDSTransition (genetics)Sign (mathematics)MedicineIntensive care medicineInflammationInternal medicineLungBiologyGeneticsGene

Abstract

fetched live from OpenAlex

BACKGROUND: Acute respiratory distress syndrome (ARDS) is causatively associated with excessive alveolar inflammation involving deregulated pro-inflammatory macrophage polarization. High-density lipoprotein (HDL) showed critical anti-inflammatory roles by modulating macrophage function, and its adverse transition to pro-inflammation has an important role in the pathogenesis of ARDS. However, the relationship between HDL protein constituents and functional remodeling is unknown in ARDS. METHODS: Proteomic techniques were applied to examine the protein profile changes in HDL from septic-ARDS patients versus HDL from healthy controls across two distinct cohorts: a discovery cohort (8 patients and 8 healthy controls) and a validation cohort (22 patients and 10 healthy controls). The changed components significantly associated with prognosis were identified. Luminex assessed the levels of 38 plasma cytokines and chemokines. The in vitro constructed pro-SFTPB enriched HDL was applied to confirm the effect on M1 polarization of THP1-derived macrophage. RESULTS: 18 proteins were validated from 102 changed HDL proteins identified in the discovery cohort, including HDL particle components, such as apolipoproteins, pro-inflammatory substances known as serum amyloid As (SAAs), and anti-oxidative proteins like paraoxonases (PONs). Among these proteins, only the increase of pro-SFTPB in HDL was significantly associated with poor prognosis of ARDS patients. Notably, HDL-pro-SFTPB level was correlated with plasma pro-inflammatory cytokines and chemokines levels. The correlation assay of pro-SFTPB with other HDL components showed that it was positively and negatively correlated with SAA2 and PON3, respectively. Furthermore, the in vitro studies confirmed that the pro-SFTPB enriched HDL significantly promoted M1 polarization of monocyte-derived macrophages. CONCLUSIONS: The increase of HDL-pro-SFTPB promotes HDL pro-inflammatory transition during septic ARDS, leading to exacerbated progression of ARDS through enhancing M1 macrophage polarization. HDL-pro-SFTPB could be a useful prognostic biomarker for septic ARDS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.268
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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