Evidence map›Paper›PMID 41889937›Full record

ArticlebioRxiv : the preprint server for biology2026

Differential Neurodevelopmental Disruption by Bisphenol A (BPA) and Valproic Acid (VPA) in Human Forebrain Organoids.

Mona Zolfaghar, Miaomiao Wang, Lin Li, Moo-Yeal Lee

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

4 authors.

Mona ZolfagharDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207, United States.
Miaomiao WangDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207, United States.
Lin LiDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207, United States.
Moo-Yeal LeeDepartment of Biomedical Engineering, University of North Texas, Denton, Texas 76207, United States.

Funding

New approach for identification pHFO networks to predict epileptogenesisR16NS131108 · NINDS · UNIVERSITY OF NORTH TEXAS · PI Lin Li · 2022 to 2026
$1.3M
High-throughput DNT testing with engineered brain organoidsR41ES037566 · NIEHS · BIOPRINTING LABORATORIES, INC. · PI JOSHI, PRANAV, LEE, MOO-YEAL · 2025 to 2025
$307k
NIEHS NIH HHS R41 ES037566NINDS NIH HHS R16 NS131108
6 · The paper itself

Abstract

Neurodevelopmental disorders, including autism spectrum disorder (ASD), are influenced by both genetic abnormalities and environmental toxicants. Among environmental risk factors, endocrine-disrupting chemicals such as bisphenol A (BPA) and pharmaceutical drugs such as valproic acid (VPA) have been associated with an increased risk of autism. In this study, human induced pluripotent stem cell (iPSC)-derived forebrain organoids were used to model early neurodevelopmental disruptions induced by BPA and VPA exposure. On day 62 of differentiation, forebrain organoids were treated with physiologically relevant concentrations of BPA or VPA for 28 days. Following treatment, morphological, molecular, and electrophysiological changes were assessed across experimental conditions. Both compounds produced distinct alterations in organoid morphology, neurodevelopmental gene expression, and network electrical activity, with VPA inducing markedly stronger effects. Overall, these data suggest forebrain organoids as a robust, physiologically relevant

Indexed as

Autism spectrum disorderbisphenol Aforebrain organoidsneurodevelopmentvalproic acid

Identifiers

PMID41889937
PMCPMC13015262

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.