Mediators of inflammation at the maternal‐fetal interface are altered by SARS‐CoV‐2 infection and pandemic stress
Bibliographic record
Abstract
PROBLEM: It is now recognized that SARS-CoV-2 infection and pandemic-related stress impacts maternal health. However, their effects at the maternal-fetal interface are still debated. METHOD OF STUDY: We recruited 199 women between March 2020 and July 2021, 79 SARS-CoV-2+ and 120 negative (the latter exposed to pandemic stress only). We also included 40 historic controls (i.e. pre-pandemic uncomplicated pregnancies recruited before March 2020). Placental samples were collected for protein and histological analysis. RESULTS: The majority of SARS-CoV-2+ women were multiethnic, had higher pre-pregnancy BMI and elevated preterm birth rate (17%) vs SARS-CoV-2- or historic control. Placental inflammatory profile revealed increased IL-1Ra and CRP, independently of SARS-CoV-2 status, whilst MCP-1, IL-6 and IFNγ were elevated in the negative, but pandemic stress-exposed, group. These changes were predominant in placentas with inflammatory lesions on histopathological analysis. Furthermore, we observed elevated immune cells (CD45+) in placentas from SARS-CoV-2+ and negative pregnancies vs historic controls, even when individuals with pregnancy complications were excluded. CONCLUSIONS: Placental inflammatory profiles differed between SARS-CoV-2 statuses, namely exposed to pandemic stress +/- SARS-CoV-2 infection. This highlights the need to understand the differences between the effects of pandemic-related stress and the added burden of SARS-CoV-2 infection on placental health.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".