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Upregulation of Angiotensin Converting Enzyme 2 and Angiotensin II to Angiotensin 1-7 Ratio in COVID-19-Positive Pregnancies Is Correlated with Lower Birth Weight

2025· article· en· W4411875594 on OpenAlexaff
Nayara Azinheira Nobrega Cruz, Marina de Moura Bello, Lilian Caroline Gonçalves de Oliveira, Ariani Impieri de Souza, Mariane Bertagnolli, Leuridan Cavalcante Torres, Dulce Elena Casarini

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsMcGill University
Fundersnot available
KeywordsDownregulation and upregulationRenin–angiotensin systemAngiotensin IIAngiotensin-converting enzyme 2EndocrinologyEnzymeCoronavirus disease 2019 (COVID-19)Angiotensin-converting enzymeInternal medicine2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineBiologyChemistryReceptorVirologyBiochemistryBlood pressureDisease

Abstract

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Introduction: The impact of COVID-19 on pregnancy remains incompletely understood. The presence of the primary SARS-CoV-2 receptor, angiotensin-converting enzyme 2 (ACE2), in the placenta suggests a potential vulnerability of this organ. Beyond the risk of vertical transmission, ACE2 may be depleted during viral entry, disrupting its biological functions. During pregnancy, ACE2 plays a critical role in placentation and hemodynamic adaptations by regulating the Renin-Angiotensin System (RAS) and the Kallikrein-Kinin System (KKS). Hypothesis: We hypothesize that SARS-CoV-2 interaction with ACE2 may disrupt placentation and impairs uteroplacental circulation, contributing to clinical complications such as preeclampsia and intrauterine growth restriction. Objectives: To compare the expression of angiotensin (Ang) II, Ang 1-7, and ACE2 in placentas from SARS-CoV-2-infected pregnant women and uninfected controls. METHODS: Women admitted for labor at the Instituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Brazil, were tested for COVID-19 using nasopharyngeal RT-PCR. From March 2020 to September 2021, we recruited 160 COVID-19-negative controls and 126 COVID-19-positive participants. Obstetric and clinical data, as well as formalin-fixed paraffin-embedded placental biopsies, were collected. Participants were further stratified by COVID-19 severity. Histopathological analysis focused on identifying signs of malperfusion and inflammation were conducted. A Tissue Microarray block was created to analyze Ang II, Ang 1-7, and ACE2 expression through immunohistochemistry. Results: COVID-19 severity was associated with adverse pregnancy outcomes, including low birth weight, preterm birth, APGAR scores below 7, and fetal death. Placentas were lighter, and the placental-to-fetal weight ratio was higher in affected pregnancies. Ang II expression showed a trend towards higher levels in the COVID-19-positive group (105.3 ± 2 vs. 101.5 ± 3, p = 0.06), while ACE2 expression (107.6 ± 12 vs. 75.9 ± 14, p = 0.04) and the Ang II to Ang 1-7 ratio (0.99 ± 0.1 vs. 0.93 ± 0.1, p = 0.03) were significantly elevated. ACE2 expression correlated with lower birth weight and APGAR scores, while both ACE2 and the Ang II to Ang 1-7 ratio were linked to an increased placental-to-fetal weight ratio, indicative of fetal growth restriction. Conclusion: Our findings demonstrate a dysregulation of RAS in COVID-19-affected placentas, characterized by an elevated Ang II to Ang 1-7 ratio and increased ACE2 expression. The higher Ang II to Ang 1-7 ratio reflects a shift towards the vasoconstrictive and pro-inflammatory axis of RAS. Upregulation of ACE2 may increase susceptibility to placental SARS-CoV-2 infection. Although vertical transmission is rare, viral replication can compromise placental function, contributing to the heightened prevalence of adverse maternal-fetal outcomes in COVID-19 pregnancies. Further studies will assess ACE, SARS-CoV-2, inflammatory markers, and vascular density to deepen our understanding. Supported by Sao Paulo Research Foundation (FAPESP) proc:. 2022/02452-5 and 2017/17027-0. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.284
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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