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Specific Role of Adiponectin in Pulmonary Artery Smooth Muscle Cells Proliferation and Inflammatory Cytokines Production during Rat Lung Development

2019· article· en· W3176012824 on OpenAlexaff
Julijana Ivanovska, Cindy Kang, Liran Tamir‐Hostovsky, Jaques Belik, Estelle B. Gauda

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiomarkers in Disease Mechanisms
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsAdiponectinCytokineLungEndocrinologyInternal medicineMedicinePulmonary arteryAndrology

Abstract

fetched live from OpenAlex

Adiponectin (APN), an abundant circulating plasma protein mostly generated from adipose tissue, is implicated in lung vascular, oxidative and anti‐inflammatory protection. Circulating APN levels are low in premature and small for gestational age neonates, who are at the greatest risk for developing lung oxidative and inflammatory injury leading to bronchopulmonary (BPD) and pulmonary artery hypertension (PAH). We previously characterized the expression pattern of APN and its receptors (Adipor1 and Adipor2) during lung development in the newborn rat and localized APN and Adipor1 and Adipor2 protein expression in pulmonary artery smooth muscle cells (PASMC). Here we describe the effect of recombinant APN (rAPN) on PASMC proliferation and pro‐ and anti‐inflammatory cytokine production in PASMC during early lung development. METHODS Postnatal day (PND) 4 and 7 PASMC were treated with recombinant APN (rAPN) (2 and 5 μg/ml), in the presence of water‐soluble tetrazolium salt 8 (WST8). The formation of formazan in viable cells was detected spectrophotometrically and used as an indicator of cell proliferation. The effect of rAPN on lipopolysaccharide (LPS) (3 μg/ml) ‐ induced protein expression of IL6, TNFα, and IL10 was also examined. Western blotting technique were used to measure cytokine protein expression. RESULTS rAPN decreased the proliferation of PASMC from both age groups, p<0.05 vs only culture medium control cells. rAPN (2μg/ml): 1) decreased IL6 protein levels in PND 4 PASMC at baseline and in presence of LPS with no effect on IL‐6 expression in PASMC from PND 7 animals, 2) decreased TNFα protein levels in PND 4 and PND 7 PASMC in response to LPS and at baseline only in PND 4 PASMC, and 3) increased the anti‐inflammatory cytokine IL10 protein levels from PASMC at baseline in PND4 and in response to LPS in PND 7 (p<0.05 vs control) CONCLUSIONS For the first time, we show that rAPN inhibits PASMC proliferation and pro‐inflammatory cytokine production in PASMC during early postnatal lung development. Overall rAPN decreased pro‐inflammatory and increased anti‐inflammatory cytokine production in these cells at PND 4 and 7. These novel findings are relevant to the premature infant at high risk for developing BPD and associated PAH. We speculate that increasing lung APN levels could potentially decrease lung injury and vascular remodeling from inflammatory stimuli and reduce the development of BPD. The role of rAPN delivered to the lung, in an in vivo model of LPS‐induced lung injury in newborn rats is currently being investigated Support or Funding Information Women's Auxilary of The Hospital for Sick Children This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.347

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 head0.005
GPT teacher head0.182
Teacher spread0.176 · 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 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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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