Elucidating the Role of Hypoxia Signaling in Placental Trophoblast Differentiation
Notice bibliographique
Résumé
Introduction Preeclampsia is a common and severe disease of pregnancy presenting as hypertension and blood vessel damage in mothers that can lead to organ failure, stroke, and death of the mother and/or baby. There is no cure except early delivery of the baby, which poses immediate and long‐term health risks for the prematurely delivered infant. The root cause of preeclampsia is improper development of the placenta – the temporary organ supporting growth of the baby in the womb. Continuous formation of the placental syncytiotrophoblast (STB) via differentiation and fusion of progenitor cytotrophoblast (CTB) cells is vital for healthy placentation and is impaired in preeclampsia. Preeclamptic placentas are also associated with chronic hypoxia, or insufficient O 2 , which activates the hypoxia‐inducible factor (HIF) transcriptional complex to elicit an adaptive cellular response. Past studies suggest that hypoxia inhibits CTB differentiation into STB, yet the underlying mechanisms are not well understood. Objective The goal of our study is to assess whether HIF activity inhibits CTB differentiation and to identify genes regulated by HIF that are involved. Therefore, we hypothesize that hypoxia‐HIF signaling impairs STB formation by interfering with transcription of genes needed for CTB differentiation. Methods Cells of the CTB‐like cell line, BeWo, were transduced with lentivirus carrying shRNA specific to ARNT (a key component of the HIF complex) or control shRNA. Cells were induced to differentiate into STB by treating with 8‐Bromo‐cAMP for 48 h under hypoxic (1% O 2 ) or standard culture (20% O 2 ) conditions. The capacity to form STB was evaluated using qRT‐PCR to assess transcript levels of CTB and STB markers as well as immunofluorescence to quantify multinucleated, hormone‐producing cells. Data were analyzed using two‐way ANOVA followed by Holm‐Sidak’s multiple comparisons test, with P<0.05 considered significant. Results BeWo cells induced to differentiate under hypoxic conditions showed decreased STB‐associated transcripts (75%, 86%, and 99% decreased ERVFRD‐1 , OVOL1 , and CGB expression respectively) as well as an 82% reduction in percent fusion compared to cells differentiated under standard conditions (N=3, P<0.05). Knockdown of ARNT restored the capacity of cells to form STB as evidenced by an induction of STB‐associated transcripts (18, 20, and 17‐fold increased ERVFRD‐1 , OVOL1 , and CGB expression respectively) as well as a 5.6‐fold increase in percent fusion for ARNT‐knockdown versus control cells induced to differentiate under hypoxic conditions (N=3, P<0.05). Conclusion Hypoxia represses expression of genes vital for CTB differentiation, impairing STB formation. ARNT knockdown prevents this inhibitory effect, suggesting HIF plays a role. Significance This study provides insight into mechanisms underlying disrupted STB formation during hypoxia and in preeclampsia pathogenesis. Future work will identify genes regulated by HIF that are involved, which will open doors to develop novel therapeutics that could restore impaired STB formation and improve disease prevention and management.
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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 | 0,000 |
| 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 | 0,000 |
| 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 ».