Evidence mapPaperPMID 41929032Full record

ArticlebioRxiv : the preprint server for biology2026

Natural variation in transplacental transfer efficiency exposes distinct transcriptional network architectures of PFAS effects on birth weight and gestational age.

Sean T Bresnahan, Hannah E J Yong, Maggie G Drelichman, Soraya N Campbell, Ance E Trapse, Gabriel R Romo, Christopher M Cellini, Sierra Lopez, Jerry Kok Yen Chan, Shiao-Yng Chan and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sean T BresnahanDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-6685-1930
Hannah E J YongA*STAR Institute for Human Development and Potential, Singapore, Singapore.ORCID 0000-0002-8814-752X
Maggie G DrelichmanDivision of Environmental Health, School of Public Health, San Diego State University, San Diego, CA, USA.
Soraya N CampbellDivision of Environmental Health, School of Public Health, San Diego State University, San Diego, CA, USA.
Ance E TrapseDivision of Environmental Health, School of Public Health, San Diego State University, San Diego, CA, USA.
Gabriel R RomoDivision of Environmental Health, School of Public Health, San Diego State University, San Diego, CA, USA.
Christopher M CelliniDivision of Environmental Health, School of Public Health, San Diego State University, San Diego, CA, USA.
Sierra LopezDepartment of Public Health Sciences, The University of Hawai'i at Mānoa, Honolulu, HI, USA.
Jerry Kok Yen ChanKK Women's and Children's Hospital, Singapore, Singapore.
Shiao-Yng ChanA*STAR Institute for Human Development and Potential, Singapore, Singapore.ORCID 0000-0002-3530-3023
Elana R ElkinDivision of Environmental Health, School of Public Health, San Diego State University, San Diego, CA, USA.ORCID 0000-0001-8637-1731
Arjun BhattacharyaDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-1196-4385
Jonathan Y HuangDepartment of Public Health Sciences, The University of Hawai'i at Mānoa, Honolulu, HI, USA.ORCID 0000-0002-5901-8403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFAS) are environmental contaminants that produce heterogeneous effects on perinatal outcomes despite chemical similarity. Natural variation in transplacental transfer efficiency (TPTE, the degree to which compounds cross the placental barrier) presents a mechanistic lens for understanding this heterogeneity, but whether TPTE systematically shapes the transcriptional pathways linking exposure to outcomes has not been tested. Using isoform-resolved placental transcriptomics from n = 124 term deliveries with eight PFAS measured in maternal and cord blood, validated against patient-derived placental explants (n = 18) using a tissue-specific long-read transcriptome assembly, we show that PFAS influence perinatal outcomes primarily through co-expression network hubs rather than differentially expressed features, indicating that network position, not fold-change magnitude, determines mediator importance. Leveraging TPTE as a natural experiment, we find that direct fetal exposure recruits increasingly numerous and tightly coordinated transcriptional mediators for both birth weight and gestational age, but the two outcomes diverge in network architecture: network centrality and maternal-fetal compartmentalization scale with TPTE exclusively for birth weight, while gestational age shows no such topological reorganization. These outcome-specific patterns are detectable only at the transcript level, as gene-level aggregation masks systematic TPTE-network relationships. This framework distinguishes which perinatal outcomes are mechanistically vulnerable to fetal exposure dose, with implications for risk assessment and therapeutic target identification for environmental contaminants.

Identifiers

PMID41929032
PMCPMC13041823

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.