Effect of Valproic Acid on Maternal - Fetal Heart Rates and Coupling in Mice on Embryonic day 15.5 (E15.5)

Widatalla, Namareq; Khandoker, Ahsan H.; Yoshida, Chihiro; Nakanishi, Kana; Fukase, Miyabi; Suzuki, Akito; Kasahara, Yoshiyuki; Saito, Masatoshi; Kimura, Yoshitaka

doi:10.1109/embc46164.2021.9630153

Cited by 3 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previously ( 5 ), we have not looked at maternal-fetal HR coupling but in our recent study ( 14 ), we calculated the average mean values of RR interval (RRI) from 1-min segments at ED15.5, and we found that a positive significant correlation existed between maternal and fetal RRI in the control group, on the other hand, the same correlation was not found in the VPA group ( 14 ). The differences in correlation that we found in our previous study ( 14 ) suggest the presence of communication or interaction between maternal and fetal HR.…”

Section: Introductionmentioning

confidence: 77%

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

et al. 2022

Self Cite

View full text Add to dashboard Cite

IntroductionAutism 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).MethodsIn 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.ResultsThe 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.

show abstract

Section: Introductionmentioning

confidence: 77%

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

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…This resulted in a total of 802 segments in the training set, 175 segments in the local testing set, and 78 segments in the PhysioNet testing set. In each segment, prevalence percentages of different coupling scenarios between maternal and fetal R-peaks annotations were determined through a phase-occurrence calculations approach (57).…”

Section: Segmentation and Ground-truth Labelingmentioning

confidence: 99%

Deep learning identifies cardiac coupling between mother and fetus during gestation

Alkhodari

Widatalla

Wahbah

et al. 2022

Front. Cardiovasc. Med.

Self Cite

View full text Add to dashboard Cite

In the last two decades, stillbirth has caused around 2 million fetal deaths worldwide. Although current ultrasound tools are reliably used for the assessment of fetal growth during pregnancy, it still raises safety issues on the fetus, requires skilled providers, and has economic concerns in less developed countries. Here, we propose deep coherence, a novel artificial intelligence (AI) approach that relies on 1 min non-invasive electrocardiography (ECG) to explain the association between maternal and fetal heartbeats during pregnancy. We validated the performance of this approach using a trained deep learning tool on a total of 941 one minute maternal-fetal R-peaks segments collected from 172 pregnant women (20–40 weeks). The high accuracy achieved by the tool (90%) in identifying coupling scenarios demonstrated the potential of using AI as a monitoring tool for frequent evaluation of fetal development. The interpretability of deep learning was significant in explaining synchronization mechanisms between the maternal and fetal heartbeats. This study could potentially pave the way toward the integration of automated deep learning tools in clinical practice to provide timely and continuous fetal monitoring while reducing triage, side-effects, and costs associated with current clinical devices.

show abstract

Impairments of social interaction in a valproic acid model in mice

Ukezono,

Kasahara,

Yoshida

et al. 2024

Front. Behav. Neurosci.

View full text Add to dashboard Cite

BackgroundA rodent autism spectrum disorder (ASD) model based on prenatal exposure to valproic acid (VPA) is widely recognized as a prominent model. Social behavior in rodent ASD models has primarily been evaluated through a three-chamber approach test. However, in this study, we focused on social attention in the VPA model of ASD.MethodsIn male C57BL/6 J mice, attentional behaviors toward conspecifics were examined through reaching tasks around 9–11 weeks of age. On embryonic day 12.5, pregnant mice underwent a subcutaneous injection of 600 mg/kg VPA sodium salt dissolved in 0.9% saline solution (VPA group) or saline solution alone (Sal group) into their neck fat. Thirty-six mice—nine each in the VPA and saline groups, and 18 partners—underwent training in reaching behavior. Subsequently, we examined whether the VPA or Sal group demonstrated focused attention toward their partners during reaching tasks. A two-way analysis of variance (ANOVA) (condition [VPA/Sal] × situation [face-to-face (attention)/not paying attention (not attention)]) was conducted on the average success rate of the situation. Additionally, we measured the duration of sniffing behavior between pairs of mice in an open field twice in total at 4 and 8 weeks of age before reaching task. The pairs were constructed by pairing a VPA or Sal group mouse with its partner, with the objective of facilitating initial encounters between the mice. A one-way ANOVA was conducted on the average duration of sniffing behavior data from 4 weeks and a second one-way ANOVA on data from 8 weeks.ResultsThe analysis revealed a significant interaction between condition and situation in the reaching task [F (1, 28) = 6.75, p = 0.015, ηp2 = 0.19]. The simple main effect test exhibited that the “not paying attention” rate was significantly higher than that of the “face-to-face” in the VPA group (p < 0.01). The results revealed a not significant difference in the average duration of sniffing behavior at 4 weeks [F (3, 32) = 2.71, p = 0.06, n.s., ηp2 = 0.20], but significant difference at 8 weeks [F (3, 32) = 4.12, p < 0.05, ηp2 = 0.28]. Multiple comparisons using the Bonferroni method revealed significant differences in the sniffing duration at 8 weeks between from the partner toward the VPA mouse and from the partner toward the Sal mouse (p < 0.05).ConclusionThe VPA rodent model of ASD exhibited differences in social attention compared to the saline group. By focusing on social attention and exploring various ASD models, insights can be gained from the neural mechanisms underlying gaze abnormalities during social interaction in individuals with ASD.

show abstract

Effect of Valproic Acid on Maternal - Fetal Heart Rates and Coupling in Mice on Embryonic day 15.5 (E15.5)

Cited by 3 publications

References 10 publications

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

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

Deep learning identifies cardiac coupling between mother and fetus during gestation

Impairments of social interaction in a valproic acid model in mice

Contact Info

Product

Resources

About