Analysis of indoleamine 2,3-dioxygenase 1 (IDO1) expression of cultured cord blood adherent mononuclear cells as an indicator of atopic risk
Notice bibliographique
Résumé
Maternal atopy is a known risk factor for allergy development in children. This link can be studied to find potential indicators of atopic risk by examining umbilical cord blood. Indoleamine 2 , 3-dioxygenase 1 ( IDO1 ), the initiator of the IDO pathway, plays a regulatory role in the immune response and may differ in expression in the adherent mononuclear cells (AMNC) of atopic and non-atopic individuals. Supernatants of these AMNC cultures may also exhibit different cytokine profiles. Cord blood samples were collected from consenting women undergoing elective Caesarian-sections and atopic status was self-reported. Mononuclear cells were isolated and cryopreserved. Once thawed, AMNCs were cultured and stimulated with interferon-gamma (IFN-γ 1μg/ml or 1ng/ml) with or without control standard endotoxin (CSE 10ng/ml). In each condition, 7.5x10 cells were seeded for gene analysis and 5x10 cells were seeded for cytokine analysis. Cells were lysed for RNA isolation, reverse transcribed and cDNA levels were analyzed using qPCR. Supernatant cytokine levels were analyzed using the Luminex xMAP Technology. IDO1 expression was significantly increased in all stimulated conditions (P<0.05) except for the CSE only condition. The high atopic risk group displayed trend towards decreased IDO1 expression, however, high and low atopic risk groups did not show significant differences (Figure 1 ). Supernatant cytokine analysis show heightened levels of Th2 cytokines IL-4, IL-5, IL-13 (Figure 2 ). Similarly, heightened levels of TNF-α and IL-6 were observed, while levels of IL-10 were decreased in the high atopic risk samples in all stimulated conditions (Figure 3 ). IDO1 gene expression fold changes relative to plain media control. IDO1 expression levels were normalized to HPRT1 expression. The error bars represent the standard error of the mean. Numbers per stimulation group are as indicated beneath the graph. Cultures of atopic and non-atopic AMNCs were plated at 7.5x10 cells per condition. Following 5.5 hours incubation with either plain media, 1 μg/ml IFN-γ, or 1 μg/ml IFN-γ and 10 ng/ml CSE, cells were lysed for RNA extraction. RNA was reverse transcribed and cDNA levels were analyzed. Supernatant cytokine level change relative to plain for Th2 cytokines IL-4 (A), IL-5 (B) and IL-13 (C). Error bars represent the standard error of the mean. Cultures of atopic and non-atopic AMNCs were plated at 5x10 cells per condition. Following 5.5 hours incubation with either plain media, 1 μg/ml IFN-γ, or 1 μg/ml IFN-γ and 10 ng/ml CSE, supernatants were collected and analyzed. A=high atopic risk, NA=low atopic risk. Each condition/atopic risk group contains a minimum of 6 samples. Supernatant cytokine level change relative to plain for pro- and anti-inflammatory cytokines TNF-α (A), IL-6 (B) and IL-10 (C). Error bars represent the standard error of the mean. Cultures of atopic and non-atopic AMNCs were plated at 5x10 cells per condition. Following 5.5 hours incubation with either plain media, 1 μg/ml IFN-γ, or 1 μg/ml IFN-γ and 10 ng/ml CSE, supernatants were collected and analyzed. A=high atopic risk, NA=low atopic risk. Each condition/atopic risk group contains a minimum of 6 samples. Preliminary differences detected suggest that further research could elucidate a suitable biomarker to predict atopic risk. Due to the lack of significant differences between high and low atopic risk groups for IDO1 expression and cytokine expression, a reliable biomarker was not determined in this study.
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 | 0,000 | 0,001 |
| 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 | 0,000 |
| 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 ».