Evidence map›Paper›PMID 40862205›Full record

ReviewAdvances in drug and alcohol research2025

Prenatal environmental exposures and brain development: studies with baboons and other nonhuman primates.

Igor Y Iskusnykh, Shiwani Thapa, Victor V Chizhikov, Anna N Bukiya

Abstract readReview
In one paragraph

Review in Advances in drug and alcohol research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Igor Y Iskusnykh *Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, TN, United States.
Shiwani Thapa *Department of Pharmacology, Addiction Science and Toxicology, University of Tennessee Health Science Center, Memphis, TN, United States.
Victor V ChizhikovDepartment of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, TN, United States.
Anna N BukiyaDepartment of Pharmacology, Addiction Science and Toxicology, University of Tennessee Health Science Center, Memphis, TN, United States.

Funding

Fetal cerebral arteries and prenatal alcohol exposureR01AA029673 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI Anna Bukiya · 2022 to 2026
$3.1M
NIAAA NIH HHS R01 AA029673
6 · The paper itself

Abstract

During pregnancy, the fetal brain undergoes rapid development and is highly sensitive to environmental influences. Understanding the intricate processes that underlie fetal brain development will be critical for advancing maternal-fetal health and mitigating the risks associated with developmental brain disorders. Nonhuman primate (NHP) animal models provide a unique and highly translational platform for studying brain development during pregnancy due to the close anatomical, physiological, and behavioral resemblance of these animals to humans. Our review explores the use of NHP models in elucidating key milestones of prenatal brain maturation and the mechanisms that govern typical and atypical development. We further examine the impact of environmental insults on fetal brain development, including air pollution, infection, ionizing radiation, and exposure to toxicants, and highlight the ways in which these factors can disrupt brain development and neural circuitry, leading to long-term cognitive and behavioral deficits. Recent studies demonstrate that the baboon (

Indexed as

alcoholcerebral arterycerebrovascular developmentdevelopmental exposuredrugs of abuseenvironmental insultin uteroneurogenesis

Identifiers

PMID40862205
PMCPMC12375511

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.