Elucidating the Role of Hypoxia Signaling in Placental Trophoblast Differentiation
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".