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L‐Citrulline Modulates Macrophage Polarization to an M2 Phenotype in a Model of Lipopolysaccharide‐Induced Lung Injury in Neonatal Rats

2022· article· en· W4225390754 on OpenAlexaff
Randa Higazy, Jingyi Pan, Atefeh Mohammadi, Julijana Ivanovska, Harvard Tran, Meraj A. Khan, Nades Palaniyar, Estelle B. Gauda

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsBronchoalveolar lavageLipopolysaccharideInflammationMacrophage polarizationLungBronchopulmonary dysplasiaOxidative stressMedicineH&E stainM2 MacrophageImmunologyMacrophagePathologyEndocrinologyInternal medicineAndrologyChemistryImmunohistochemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

Introduction Bronchopulmonary dysplasia (BPD), a chronic lung disease in premature infants resulting from inflammation and oxidative stress, leads to arrested pulmonary development and lifelong respiratory morbidities. Macrophages are the most abundant immune cells in the neonatal lung, orchestrating inflammation, maintaining homeostasis, and supporting tissue remodeling and repair. Macrophages can polarize into specific phenotypes in response to the micro‐environment. M1 macrophages are pro‐inflammatory and pathogen killing whereas, M2 macrophages are anti‐inflammatory and support normal lung development. Existing therapies for BPD have inherent side effects. L‐Citrulline (L‐CIT), a non‐essential amino acid, that is safe and well‐tolerated by infants, reduces oxidative stress and lung inflammation. Thus, we hypothesize that L‐CIT modulates macrophage polarization to an M2 phenotype in the presence of lipopolysaccharide (LPS) induced lung injury during early development. Methods Sprague Dawley rat pups received saline (SAL) or L‐CIT (2.5 g/kg) intraperitoneally during postnatal day (PND) 4‐9. In addition, pups were treated with LPS (5mg/kg) or SAL intrapharyngeally during PND 5‐8. Thus, we had 4 treatment groups, ie., SAL+SAL (controls), LPS+SAL, LPS+L‐CIT and L‐CIT+SAL. Pups were euthanized on PND 9. Bronchoalveolar Lavage Fluid (BALF) : BALF was cytospinned, and cells were counted following hematoxylin and eosin staining. BALF supernatant was collected, and an arginase activity assay was performed for M2 marker expression. Lung homogenate : Lungs were dissected, homogenized and processed for western blotting of M2 (CD206) and M1 (Arg2) markers normalized to rat macrophage marker (F4/80). Results BALF analysis: The number of alveolar macrophages infiltrated in the BALF of animals treated with L‐CIT+LPS (n=4) and those treated with SAL+LPS (n=4) were similar; both were significantly higher than control (p<.001; p<.0001, respectively). Arginase activity in the BALF was significantly higher in animals treated with L‐CIT+LPS (p<.05; n= 4) compared to LPS alone (p<.05; n=4). Lung homogenate analysis : LPS+SAL treated animals had lower levels of protein expression for CD206 (M2 marker) (p<.05; n=4) compared to control animals. Whereas L‐CIT+LPS treated animals had increased expression of CD206 (M2 marker) (p<.05; n=4) and lower expression of Arg2 (M1 marker) (p<.001; n=4) compared to control animals. Conclusion In BPD pathogenesis, there is a major shift towards M1 polarization due to the presence of pro‐inflammatory stimuli in the microenvironment, leading to arrested lung development. Our preliminary findings support a role for L‐CIT in regulating macrophage polarization, favoring an anti‐inflammatory M2 phenotype in the presence of inflammatory injury. This further suggests that L‐CIT, a safe nutritional supplement, could reduce inflammatory lung injury during early development.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.349
Teacher spread0.308 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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