Long noncoding RNAs (lncRNAs) play critical roles in cellular homeostasis. However, little is known about their effect in developing rat brains with hypoxic-ischemic brain damage (HIBD). To explore the expression and function of lncRNA in HIBD, we analyzed the expression profiles of lncRNAs in hypoxic-ischemic (HI) brains and sham control using microarray analysis. The results showed a remarkable difference in lncRNA between HI and sham brains. A total of 322 lncRNAs were found to be differentially expressed in HI brains, compared to sham control. Among these, BC088414 was one of the most significantly urpregulated lncRNAs. In addition, 375 coding genes were differentially expressed between HI brains and sham control. Pathway and gene ontology analysis indicated that the upregulated coding genes mostly involved in wounding, inflammation and defense, whereas the downregulated transcripts were largely associated with neurogenesis and repair. Moreover, coding non-coding co-expression network analysis showed that the BC088414 lncRNA expression was correlated with apoptosis-related genes, including Casp6 and Adrb2. Silencing of lncRNA BC088414 in PC12 cells caused reduced mRNA level of Casp6 and Adrb2, decreased cell apoptosis and increased cell proliferation. These results suggested lncRNA might participate in the pathogenesis of HIBD via regulating coding genes.

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuropsychiatric disorder worldwide, but its etiology is still not fully understood. Previous studies have reported that perinatal hypoxic-ischemic conditions may be a potential cause of ADHD. Methods: An online search of potential English studies published before September 2015 was conducted using the PsycINFO, EMBASE, Web of Science, and PubMed databases. The combined odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with random-effects models. Results: Ten studies were included, with 45 821 cases and 9 207 363 controls. The metaresults found that the following were associated with ADHD: preeclampsia (OR 1.31; 95% CI 1.26-1.37), an Apgar score <7 at 5 minutes (OR 1.31; 95% CI 1.12-1.54), breech/transverse presentations (OR 1.14; 95% CI 1.06-1.23), and a prolapsed/nuchal cord (OR 1.10; 95% CI 1.06-1.15). Conclusion: Our results support that perinatal hypoxia-ischemia may contribute to ADHD. However, more clinical studies are warranted.

Epilepsy is a serious chronic neurologic disorder characterized by recurrent unprovoked seizures resulting from abnormal and highly synchronous neuronal discharges within the brain. Small noncoding RNAs, called microRNAs, play vital roles in epileptogenesis, with potential contributions as valuable biomarkers and targets for the treatment of epilepsy. To maintain cellular homeostasis, cellular components, such as organelles, proteins, protein complexes/oligomers, and pathogens, are delivered to the lysosome for degradation through a process called autophagy, which plays either a protective or a harmful role under epileptic stress. Several autophagic mechanisms have been implicated in epileptogenesis, including the mammalian target of rapamycin pathway, aberrant substrate accumulation, and the formation of epileptic networks. In addition, the regulation of autophagy through microRNAs (miRNAs) represents a novel posttranscriptional regulatory mechanism through ‘autophagamiRNAs’. The correlation between autophagy and miRNA has increased our understanding of the underlying pathogenesis of human diseases. Here, we review the current findings regarding the correlations between miRNA, autophagy, and epilepsy to provide a solid foundation for further examination of the miRNA-autophagy pathway involved in epilepsy pathophysiology.

Introduction: Over the past 10 years, epilepsy genetics has made dramatic progress. This study aimed to analyze the knowledge structure and the advancement of epilepsy genetics over the past decade based on co-word analysis of medical subject headings (MeSH) terms. Methods: Scientific publications focusing on epilepsy genetics from the PubMed database (January 2009–December 2018) were retrieved. Bibliometric information was analyzed quantitatively using Bibliographic Item Co-Occurrence Matrix Builder (BICOMB) software. A knowledge social network analysis and publication trend based on the high-frequency MeSH terms was built using VOSviewer. Results: According to the search strategy, a total of 5185 papers were included. Among all the extracted MeSH terms, 86 high-frequency MeSH terms were identified. Hot spots were clustered into 5 categories including: “ion channel diseases,” “beyond ion channel diseases,” “experimental research & epigenetics,” “single nucleotide polymorphism & pharmacogenetics,” and “genetic techniques”. “Epilepsy,” “mutation,” and “seizures,” were located at the center of the knowledge network. “Ion channel diseases” are typically in the most prominent position of epilepsy genetics research. “Beyond ion channel diseases” and “genetic techniques,” however, have gradually grown into research cores and trends, such as “intellectual disability,” “infantile spasms,” “phenotype,” “exome,” “ deoxyribonucleic acid (DNA) copy number variations,” and “application of next-generation sequencing.” While ion channel genes such as “SCN1A,” “KCNQ2,” “SCN2A,” “SCN8A” accounted for nearly half of epilepsy genes in MeSH terms, a number of additional beyond ion channel genes like “CDKL5,” “STXBP1,” “PCDH19,” “PRRT2,” “LGI1,” “ALDH7A1,” “MECP2,” “EPM2A,” “ARX,” “SLC2A1,” and more were becoming increasingly popular. In contrast, gene therapies, treatment outcome, and genotype-phenotype correlations were still in their early stages of research. Conclusion: This co-word analysis provides an overview of epilepsy genetics research over the past decade. The 5 research categories display publication hot spots and trends in epilepsy genetics research which could consequently supply some direction for geneticists and epileptologists when launching new projects.

Background and purpose: A growing body of research suggests that inflammation and maternal infections may lead to an increased risk of neurodevelopmental problems such as attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), cerebral palsy (CP), and epilepsy in offspring. The aim of this study was to observe the connection between prenatal antibiotic exposure and the risk of these neurodevelopmental disorders in offspring.Patients and methods: A comprehensive search was conducted in the Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, Google Scholar, and Scopus databases for observational studies that looked into the link between prenatal exposure to antibiotics and the risk of neurodevelopmental problems in offspring, published from 1 January 1950 to 31 January 2022. The Newcastle–Ottawa Scale (NOS) was used to assess the quality of the included studies. Data were analyzed using the STATA version 12 software, and an odds ratio (OR) with a 95% confidence interval (CI) was reported.Results: A total of 15 studies were included in the meta-analysis. Prenatal antibiotic exposure was associated with the increased risk of ADHD (OR = 1.14; 95% CI = 1.13 to 1.15; I² = 0%) and epilepsy (OR = 1.34; 95% CI = 1.02 to 1.66; I² = 96.8%). The link between prenatal antibiotic exposure and the risk of ASD [OR = 1.09; 95 % CI = 0.88 to 1.31; I² = 78.9%] and CP [OR = 0.99; 95% CI = 0.56 to 1.43; I² = 91%] was found to be non-significant. In all of the included prospective cohort studies, subgroup analysis suggested a significant association between prenatal antibiotic exposure and the incidence of ASD [OR = 1.17; 95% CI = 1.03 to 1.31; I² = 48.1%] and CP [OR = 1.18; 95% CI = 1.02 to 1.34; I² = 0%].Conclusion: Prenatal antibiotic exposure during pregnancy is linked to a higher incidence of ADHD and epilepsy in the offspring. Further prospective studies that compare prenatal antibiotic use and are adjusted for various confounders are needed to further assess the association of prenatal antibiotic exposure and neurological disorders in offspring.Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier: CRD42022306248.