Evidence map›Paper›PMID 36518366›Full record

ArticleFrontiers in psychiatry2022

Correlation between maternal and fetal heart rate increases with fetal mouse age in typical development and is disturbed in autism mouse model treated with valproic acid.

Namareq Widatalla, Ahsan Khandoker, Chihiro Yoshida, Kana Nakanishi, Miyabi Fukase, Arisa Suzuki, Masatoshi Saito, Yoshitaka Kimura, Yoshiyuki Kasahara

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Namareq WidatallaNext Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.
Ahsan KhandokerHealthcare Engineering Innovation Center, Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
Chihiro YoshidaDepartment of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kana NakanishiAdvanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan.
Miyabi FukaseAdvanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan.
Arisa SuzukiAdvanced Interdisciplinary Biomedical Engineering, Tohoku University Graduate School of Medicine, Sendai, Japan.
Masatoshi SaitoNext Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.
Yoshitaka KimuraNext Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.
Yoshiyuki KasaharaNext Generation Biological Information Technology, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.
Tohoku University · JPKhalifa University of Science and Technology · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Autism spectrum disorder (ASD) is considered a significant behavioral problem that is characterized by impairment in social interaction and communication. It is believed that some cases of ASD originate in the intrauterine maternal environment. Therefore, we hypothesized that there might be qualitative changes in the interaction between the mother and fetus in ASD during the prenatal period, hence, we investigated the similarity patterns between maternal and fetal heart rate (HR). Methods: In this study, we first demonstrate the presence and formation of similarities between maternal and fetal RR interval (RRI) collected from typical developmental mice at different embryonic days (EDs), ED13.5, ED15.5, ED17.5, and ED18.5. The similarities were quantified by means of cross-correlation (CC) and magnitude-squared coherence (MSC) analyses. Correlation analysis between the CC coefficients and EDs and between MSC coefficients and EDs showed that the same coefficients increase with EDs, suggesting that similarities between maternal and fetal RRI are associated with typical fetal development. Next, because maternal and fetal similarities were indicative of development, a comparison analysis between the autism mouse model (injected with valproic acid (VPA)), and the control group (injected with saline) was performed for ED15.5 and ED18.5. Results: The results of the comparison showed that the CC and MSC coefficients of VPA fetuses were significantly lower than that of the control group. The lower coefficients in VPA-treated mice suggest that they could be one of the features of ASD symptoms. The findings of this study can assist in identifying potential ASD causes during the prenatal period.

Indexed as

autism spectrum disorderautonomic nervous systemfetal mouse developmentfetal programmingmaternal–fetal RRI similarity

Identifiers

PMID36518366
PMCPMC9743798
OpenAlexW4309862448

What OpenQuestion holds

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LicenceCC BY
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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.