Evidence map›Paper›PMID 38390614›Full record

ReviewAdvances in drug and alcohol research2022

Prenatal exposure to alcohol: mechanisms of cerebral vascular damage and lifelong consequences.

Partha S Saha, William G Mayhan

Open access · diamondAbstract readReview
In one paragraph

Review in Advances in drug and alcohol research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Alcohol Metabolism into Acetaldehyde in Developing Cerebral Arteries.International journal of molecular sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

2 authors at 1 institution in 1 country.

Partha S SahaDivision of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, United States.
William G MayhanDivision of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, United States.
University of South Dakota · US

Funding

Dysfunction of the Cerebral Microcirculation by In Utero Exposure to AlcoholR01AA027206 · NIAAA · UNIVERSITY OF SOUTH DAKOTA · PI MAYHAN, WILLIAM G · 2018 to 2021
$1.3M
NIAAA NIH HHS R01 AA027206
6 · The paper itself

Abstract

Alcohol is a well-known teratogen, and prenatal alcohol exposure (PAE) leads to a greater incidence of many cardiovascular-related pathologies. Alcohol negatively impacts vasculogenesis and angiogenesis in the developing fetal brain, resulting in fetal alcohol spectrum disorders (FASD). Ample preclinical evidence indicates that the normal reactivity of cerebral resistance arterioles, which regulate blood flow distribution in response to metabolic demand (neurovascular coupling), is impaired by PAE. This impairment of dilation of cerebral arteries may carry implications for the susceptibility of the brain to cerebral ischemic damage well into adulthood. The focus of this review is to consolidate findings from studies examining the influence of PAE on vascular development, give insights into relevant pathological mechanisms at the vascular level, evaluate the risks of ethanol-driven alterations of cerebrovascular reactivity, and revisit different preventive interventions that may have promise in reversing vascular changes in preclinical FASD models.

Indexed as

braincerebral blood flowcerebral resistance arteriolesFASDprenatal alcohol exposure

Identifiers

PMID38390614
PMCPMC10880760
OpenAlexW4309452252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.