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Record W6888532833 · doi:10.20381/ruor-29989

Microplastic Contamination in the Human Placenta

2024· article· en· W6888532833 on OpenAlexaboutno aff

Bibliographic record

VenueuO Research (University of Ottawa) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
Fundersnot available
KeywordsMicroplasticsContaminationHuman placentaPlacentaPregnancyFetusHuman healthProducts of conceptionTransplacental

Abstract

fetched live from OpenAlex

Introduction: The widespread presence of plastics in our environment poses a growing concern as they may pose risks to human and environmental health. Microplastics (MPs) are small particles generated through fragmentation of larger plastic items. The presence of MPs particles has been reported in the human placenta, an organ essential for pregnancy and fetal development. The presence of MP contamination of the womb raises the possibility of adverse effects on the developing fetus with potential life-long consequences. This thesis seeks to investigate this issue through: 1) A review aimed to examine the current state of knowledge on the effects of exposure to MP on maternal and fetal health within the DOHaD framework; 2) A study conducted to confirm and further the reports of microplastics in human placentas through a study, in a Canadian setting, comparing MPs exposure to delivery methods. Methods: 1) A review was conducted of the current literature on microplastic contamination in human reproductive tissues, and the resulting reproductive consequences of exposure. 2) Placentas (n=10) were collected from singleton, uncomplicated pregnancies. Placentas were collected from vaginal (n=5) and cesarean section (n=5) deliveries within a plastics-reduced clinical setting. Placental tissue biopsies were micro-dissected under plastic-reduced conditions - from basal plate, chorionic villous and chorionic plate. Samples were chemically digested and filtered through glass microfiber filters and the retained particles were identified and characterized using Raman microspectroscopy. iii Results: 1) The review reports multiple lines of evidence that suggest that MP-exposure prior to or during pregnancy can contaminate various internal tissues (including those of the fetus) and may result in potential adverse effects on fertility, fetal development and long-term health of the exposed fetus. More importantly, the available evidence is limited and several significant gaps in knowledge were identified. 2) Microplastics composed of various polymer types were detected in placentas from both delivery types (vaginal or caesarian), with polyethylene being the most common. In addition, non-plastic foreign particles including graphite, lead oxide and black carbon were observed in a higher frequency than microplastics. Notably, both microplastic and non-microplastic particles were found in all placentas sampled with variations in the number of particles. Particles both plastic and non-plastic were observed in placenta regions of maternal and fetal circulation suggesting that these can pass through the placenta into fetal tissues. Conclusion: This thesis provides evidence that the human placenta can serve as a reservoir for the accumulation of a variety of foreign particles during pregnancy. The potential human health impacts of such particles in general or on fetal development, in particular, are unknown but is a critical question for future work to understand the health consequences of plastic pollution.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.279
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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