DEVELOPMENTAL PROFILE OF ADIPONECTIN AND ADIPONECTIN RECEPTOR EXPRESSION IN NEWBORN RAT LUNG DURING ALVEOLARIZATION
Notice bibliographique
Résumé
Adiponectin (APN) is a pleotropic adipokine mainly produced by adipocyte. It modulates many biological functions including metabolism, immunity, vascular integrity, tissue remodeling and inflammation. In genetically modified mice, APN protects the lung from oxidative and inflammatory injury (Sliman SM et al., Cell Biochem Biophys 2013, Konter JM et al. J Immunol 2012). Premature infants and infants who are small for gestational age have minimal fat mass, very low levels of circulating APN and are at increased risk for developing bronchopulmonary dysplasia (BPD) from oxidative stress and inflammation. To begin to understand the potential role that APN may play in protecting the lung from injury during lung development, we characterized the developmental profile of circulating APN levels, and protein and gene expression for APN and its receptors in the lung during development in newborn rats. METHODS APN, adiponectin receptors (AdipoR1 and AdipoR2) gene and protein expression were measured in lung homogenates from fetal day (FD)19 and postnatal day (PD) 1,4,7,10,14,21 and 28 (n= 8/each age). Relative mRNA expression was detected by quantitative PCR and serum APN was measured using ELISA. Protein levels of APN and AdipoR1 and AdipoR2 in lung homogenates were measured by western blot. RESULTS Lung APN protein levels significantly changed with development (ANOVA, p<0.05). Total lung APN levels were lowest at FD19 and PD1, increased by 4 fold by PD 7 followed by a 2 fold drop from PD 7 to 10. AdipoR1 protein expression in the lung peaked at PD1; increased by 1.8 fold from FD19 to PD1 followed by a 3 fold drop by PD4 and remained low until PD 14 when levels again increased and were comparable to levels measured at PD1. Similar to AdipoR1, AdipoR2 protein expression in the lung was highest at PD1, but in contrast, AdipoR2 did not significantly change until PD7‐10 at which time levels decreased by 2‐fold and then subsequently increased at PD14, reaching levels similar to those measured at PD1. The pattern of mRNA relative expression for lung APN, AdipoR1 and AdipoR2 mirrored the protein expression. Serum APN levels ELISA did not differ between animals PD 4–28. CONCLUSIONS These data are the first to characterize the developmental profile of APN and its receptors in the lung of a newborn model. At birth, similar to lung of the premature infant, rat lungs are in the saccular stage of lung development. At PD4, alveolarization starts, peaks at P10 and ends at PD21. In APN knock out mice, alveolarization is abnormal. Here we show that APN and its receptors are undergoing significant changes in expression associated with alveolar development. AdipoR1 on alveolar epithelial cells decreases the cytotoxic effects of inflammatory cytokines (TNF‐α and IL‐1β), and induces the expression of pro‐inflammatory cytokine (IL‐10) (Nigro et al, Int J Biochem Cell Biol 2013). We found that AdipoR1 receptor expression is lowest from D4‐D10. We speculate the drop in the AdipoR1 receptors during the stage of lung alveolarization may be a critical period of increased vulnerability to inflammatory and oxidative stress that may contribute to development of bronchopulmonary dysplasia in human infants. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».