Identifying Genetic Factors of Polycystic Ovary Syndrome in Women with Epilepsy: A Whole-Genome Sequencing Study.

INTRODUCTION: Women with epilepsy (WWE) are more likely to develop reproductive endocrine disorders, especially polycystic ovary syndrome (PCOS). This study aimed to explore the genetic factors of PCOS in WWE in hope of improving individual precision diagnosis and treatment. METHODS: WWE registered at West China Hospital between January 2022 and October 2022 were enrolled in this study. Demographic and epilepsy-related characteristics were recorded, and blood samples were collected for hormones, glucose metabolism testing, and whole-genome sequencing. RESULTS: After sample sequencing, quality control, and variants selection, association analyses were performed. Pathway analysis was performed to identify involved biological pathways. The overall and PCOS "burden score" of each individual were calculated to count the deleterious variants. A total of 95 WWE were included in this study and 19 patients were diagnosed with PCOS. WWE with PCOS showed a significantly different hormone profiles and a tendency of impaired glucose metabolism. The most commonly associated genes were ZFYVE28, COL19A1, SIK3, ANKK1, PPIG, and REPIN1. The top 3 canonical pathways are adipogenesis pathway, epoxysqualene biosynthesis signaling, and glutamate degradation signaling. The most significant common variant was rs11914038 located in gene CELSR1 and rs651748 located in gene ZBTB16. In human gene connectome prioritizations, ITGA9, PNPLA2, and DAB2 are the top 3 genes having the shortest distance to known PCOS genes. CONCLUSION: Genetic factors involved in the abnormal regulation of glucose and insulin metabolism are likely to be associated with the comorbidity of PCOS in WWE. Interventions targeting these processes should be given more priority in clinical practice.

Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application.

BACKGROUND: The effective management of epilepsy in women of child-bearing age necessitates a concerted effort from multidisciplinary teams. Nevertheless, there exists an inadequacy in the seamless exchange of knowledge among healthcare providers within this context. Consequently, it is imperative to enhance the availability of informatics resources and the development of decision support tools to address this issue comprehensively. MATERIALS AND METHODS: The development of the Women with Epilepsy of Child-Bearing Age Ontology (WWECA) adhered to established ontology construction principles. The ontology's scope and universal terminology were initially established by the development team and subsequently subjected to external evaluation through a rapid Delphi consensus exercise involving domain experts. Additional entities and attribute annotation data were sourced from authoritative guideline documents and specialized terminology databases within the respective field. Furthermore, the ontology has played a pivotal role in steering the creation of an online question-and-answer system, which is actively employed and assessed by a diverse group of multidisciplinary healthcare providers. RESULTS: WWECA successfully integrated a total of 609 entities encompassing various facets related to the diagnosis and medication for women of child-bearing age afflicted with epilepsy. The ontology exhibited a maximum depth of 8 within its hierarchical structure. Each of these entities featured three fundamental attributes, namely Chinese labels, definitions, and synonyms. The evaluation of WWECA involved 35 experts from 10 different hospitals across China, resulting in a favorable consensus among the experts. Furthermore, the ontology-driven online question and answer system underwent evaluation by a panel of 10 experts, including neurologists, obstetricians, and gynecologists. This evaluation yielded an average rating of 4.2, signifying a positive reception and endorsement of the system's utility and effectiveness. CONCLUSIONS: Our ontology and the associated online question and answer system hold the potential to serve as a scalable assistant for healthcare providers engaged in the management of women with epilepsy (WWE). In the future, this developmental framework has the potential for broader application in the context of long-term management of more intricate chronic health conditions.

Automated Digital Interventions and Smoking Cessation: Systematic Review and Meta-analysis Relating Efficiency to a Psychological Theory of Intervention Perspective.

BACKGROUND: Smoking remains a highly significant preventable global public health problem. In this context, digital interventions offer great advantages in terms of a lack of biological side effects, possibility of automatic delivery, and consequent human resource savings relative to traditional interventions. Such interventions have been studied in randomized controlled trials (RCTs) but have not been systematically reviewed with the inclusion of text-based and multiplatform-based interventions. In addition, this area has not been evaluated from the perspective of the psychological theoretical basis of intervention. OBJECTIVE: The aim of this paper is to assess the efficiency of digital interventions in RCT studies of smoking cessation and to evaluate the effectiveness of the strategies used for digital interventions. METHODS: An electronic search of RCTs was conducted using PubMed, Embase, and the Cochrane Library by June 30, 2021. Eligible studies had to compare automated digital intervention (ADI) to the use of a self-help guideline or no intervention. Participants were current smokers (aged 16 years or older). As the main outcome, abstinence after endpoint was extracted from the studies. Systematic review and meta-analysis were conducted to assess the efficiency of ADIs. Metaregressions were conducted to assess the relationship between intervention theory and effectiveness. RESULTS: A total of 19 trials (15,472 participants) were included in the analysis. The overall abstinence rate (95% CI) at the endpoint was 17.8% (17.0-18.7). The overall risk ratio of the intervention group compared to the controls at the endpoint was 17.8% (17.0-18.7). Cochrane risk-of-bias tool for randomized trials (ROB 2) suggested that most of the studies had a low risk of bias (56.3%). Psychological theory-related constructs or predictors, which refer to other theory-based concepts (rather than only behavioral theory) such as craving or anxiety, are associated with effectiveness. CONCLUSIONS: This study found that ADI had a clear positive effect compared to self-help guidelines or to no intervention, and effectiveness was associated with theory-related constructs or predictors. ADIs should be promoted by policy makers and clinical practitioners to address the huge gap between the need for smoking cessation and availability of traditional treatment resources. Possible increases in ADI efficiency may be achieved by optimally integrating psychotherapeutic theories and techniques. TRIAL REGISTRATION: PROSPERO CRD42021256593; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=256593.

Causal link between oxidative stress and epilepsy: A two-sample Mendelian randomization study.

BACKGROUND: Although a growing body of research has indicated a strong link between oxidative stress and epilepsy, the exact nature of their interaction remains elusive. To elucidate this intricate relationship, we conducted a bidirectional Mendelian randomization (MR) analysis employing two independent datasets. METHODS: A two-sample MR analysis was performed using instrumental variables derived from genome-wide association study summary statistics of oxidative stress injury biomarkers (OSIB) and epilepsy. The OSIBs were selected from eight primary metabolic pathways associated with oxidative stress. Additionally, seven distinct epilepsy phenotypes were considered, which encompassed all epilepsy, generalized epilepsy, generalized tonic-clonic seizures, focal epilepsy, focal epilepsy with hippocampal sclerosis (focal HS), focal epilepsy with lesions other than HS (focal NHS), and lesion-negative focal epilepsy. Causal estimates were computed using the inverse-variance weighted method or the Wald ratio method, and the robustness of causality was assessed through sensitivity analyses. RESULTS: For OSIB and epilepsy, 520 and 23 genetic variants, respectively, were selectively extracted as instrumental variants. Genetically predicted higher kynurenine level was associated with a decreased risk of focal epilepsy (odds ratio [OR] 1.950, 95% CI 1.373-2.528, p = .023) and focal NHS (OR 1.276, 95% CI 1.100-1.453, p = .006). For reverse analysis, there was a suggestive effect of focal NHS on urate (OR 1.19 × 1015, 95% CI 11.19 × 1015 to 1.19 × 1015, p = .0000746) and total bilirubin (Tb) (OR 4.98, 95% CI 3.423-6.543, p = .044). In addition, genetic predisposition to focal HS was associated with higher Tb levels (OR 9.83, 95% CI 7.77-11.888, p = .034). CONCLUSION: This MR study provides compelling evidence of a robust association between oxidative stress and epilepsy, with a notable emphasis on a causal relationship between oxidative stress and focal epilepsy. Additional research is warranted to confirm the connection between oxidative stress and the risk of epilepsy and to unravel the underlying mechanisms.

An Artificial Intelligence-Driven Approach for Automatic Evaluation of Right-to-Left Shunt Grades in Saline-Contrasted Transthoracic Echocardiography.

BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorders, specifically cryptogenic stroke. Saline-contrasted transthoracic echocardiography (scTTE) is often used for RLS diagnosis. However, the identification of saline microbubbles in the left heart can be challenging for novice residents, potentially leading to a delay in diagnosis and treatment. In this study, we proposed an artificial intelligence (AI)-based algorithm designed to automatically detect microbubbles in scTTE images and evaluate right-to-left shunt grades. This tool aims to support residency training and decrease the workload of cardiologists. METHODS: A dataset of 23,665 scTTE images obtained from 174 individuals was included in this study. This dataset was partitioned into a training set (n = 20,475) and an internal validation set (n = 3,190) on a patient-level basis. An additional cohort of 33 patients diagnosed with cryptogenic ischemic stroke was enrolled as an external validation set. The proposed algorithm for right-to-left shunt degree classification employed the EfficientNet-b4 model, and the model's performance was evaluated using the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity, and compared to the performance of residents. RESULTS: Our AI model demonstrated robust performance with an accuracy of 0.926, sensitivity of 0.827, and specificity of 0.951 on the internal testing dataset. In the external validation set, our AI model exhibited diagnostic accuracy, sensitivity, and specificity of 0.864, 0.818, and 0.909, respectively. In comparison, residents achieved values of 0.727, 0.636, and 0.818, respectively. CONCLUSION: Our AI model provides a swift, precise, and easily deployable methodology for grading the degree of right-to-left shunt in scTTE, carrying substantial implications for routine clinical practice. Residents can benefit from our artificial intelligence-based algorithm, enhancing both the accuracy and efficiency of RLS diagnosis.

Management of epilepsy in pregnancy: What we still need to learn.

Safe pregnancies have been a major concern for women with epilepsy. With more than 50 years of research, we have learned that antiseizure medications (ASMs) differ in their teratogenic risk. Valproate is associated with greater risks for malformations and adverse neurodevelopmental outcomes than other ASMs. Furthermore, seizure control is important for maternal health in pregnancy and it can be affected by a decline in serum concentrations of many ASMs during pregnancy. However, significant knowledge gaps remain. First, there is insufficient evidence about the relative teratogenic risks of most newer generation ASMs, as well as diverse ASM combinations. Similarly, information on gestation-induced changes in maternal serum levels and transfer into breastmilk is inadequate for the majority of the newer ASMs. Further, the optimal dose of folate supplementation remains unknown for women with epilepsy. Finally, most of previous studies on epilepsy and pregnancy come from Europe or North America. Efforts should be made to include more countries in collaboration with existing prospective epilepsy and pregnancy studies to increase the cohort size while at the same time enhancing the generalizability of the results. Large countries, such as China, present great potential to shorten the time to obtain answers to important unsolved questions.

Targeting adverse effects of antiseizure medication on offspring: current evidence and new strategies for safety.

INTRODUCTION: For women with epilepsy of reproductive age, antiseizure medications (ASMs) are associated with an increased risk of offspring malformations. There are safety concerns for most anti-seizure medications in the perinatal period, and there is a clear need to identify safe medications. ASMs must transport through biological barriers to exert toxic effects on the fetus, and transporters play essential roles in trans-barrier drug transport. Therefore, it is vital to understand the distribution and properties of ASM-related transporters in biological barriers. AREAS COVERED: This study reviews the structure, transporter distribution, and properties of the blood-brain, placental, and blood-milk barrier, and summarizes the existing evidence for the trans-barrier transport mechanism of ASMs and standard experimental models of biological barriers. EXPERT OPINION: Ideal ASMs in the perinatal period should have the following characteristics: 1) Increased transport through the blood-brain barrier, and 2) Reduced transport of the placental and blood-milk barriers. Thus, only low-dose or almost no antiseizure medication could enter the fetus's body, which could decrease medication-induced fetal abnormalities. Based on the stimulated structure and molecular docking, we propose a development strategy for new ASMs targeting transporters of biological barriers to improve the perinatal treatment of female patients with epilepsy.

Heart-brain axis: Association of congenital heart abnormality and brain diseases.

Brain diseases are a major burden on human health worldwide, and little is known about how most brain diseases develop. It is believed that cardiovascular diseases can affect the function of the brain, and many brain diseases are associated with heart dysfunction, which is called the heart-brain axis. Congenital heart abnormalities with anomalous hemodynamics are common treatable cardiovascular diseases. With the development of cardiovascular surgeries and interventions, the long-term survival of patients with congenital heart abnormalities continues to improve. However, physicians have reported that patients with congenital heart abnormalities have an increased risk of brain diseases in adulthood. To understand the complex association between congenital heart abnormalities and brain diseases, the paper reviews relevant clinical literature. Studies have shown that congenital heart abnormalities are associated with most brain diseases, including stroke, migraine, dementia, infection of the central nervous system, epilepsy, white matter lesions, and affective disorders. However, whether surgeries or other interventions could benefit patients with congenital heart abnormalities and brain diseases remains unclear because of limited evidence.

Pharmacological modulation of autophagy for epilepsy therapy: Opportunities and obstacles.

Epilepsy (EP) is a long-term neurological disorder characterized by neuroinflammatory responses, neuronal apoptosis, imbalance between excitatory and inhibitory neurotransmitters, and oxidative stress in the brain. Autophagy is a process of cellular self-regulation to maintain normal physiological functions. Emerging evidence suggests that dysfunctional autophagy pathways in neurons are a potential mechanism underlying EP pathogenesis. In this review, we discuss current evidence and molecular mechanisms of autophagy dysregulation in EP and the probable function of autophagy in epileptogenesis. Moreover, we review the autophagy modulators reported for the treatment of EP models, and discuss the obstacles to, and opportunities for, the potential therapeutic applications of novel autophagy modulators as EP therapies.

Development and therapeutic potential of adaptor-associated kinase 1 inhibitors in human multifaceted diseases.

Adaptor-Associated Kinase 1 (AAK1), a Ser/Thr protein kinase, responsible for regulating clathrin-mediated endocytosis, is ubiquitous in the central nervous system (CNS). AAK1 plays an important role in neuropathic pain and a variety of other human diseases, including viral invasion, Alzheimer's disease, Parkinson's syndrome, etc. Therefore, targeting AAK1 is a promising therapeutic strategy. However, although small molecule AAK1 inhibitors have been vigorously developed, only BMS-986176/LX-9211 has entered clinical trials. Simultaneously, new small molecule inhibitors, including BMS-911172 and LP-935509, exhibited excellent druggability. This review elaborates on the structure, biological function, and disease relevance of AAK1. We emphatically analyze the structure-activity relationships (SARs) of small molecule AAK1 inhibitors based on different binding modalities and discuss prospective strategies to provide insights into novel AAK1 therapeutic agents for clinical practice.

Recent progress in patent foramen ovale and related neurological diseases: A narrative review.

Patent foramen ovale (PFO) is a common congenital cardiac abnormality when the opening of the interatrial septum is not closed in adulthood. This abnormality affects 25% of the general population. With the development of precision medicine, an increasing number of clinical studies have reported that PFO is closely related to various neurological diseases such as stroke, migraine, obstructive sleep apnea, and decompression syndrome. It has also been suggested that PFO closure could be effective for preventing and treating these neurological diseases. Therefore, increasing attention has been given to the prevention, diagnosis, and treatment of PFO-related neurological diseases. By reviewing existing literature, this article focuses on the pathogenesis, epidemiology, and clinical characteristics of PFO-related neurological diseases, as well as the prevention and treatment of different neurological diseases to discuss, and aims to provide current progress for this field and decision-making evidence for clinical practice.

Advances in Epilepsy: Mechanisms, Clinical Trials, and Drug Therapies.

Epilepsy is a common disease of the nervous system characterized by transient brain dysfunction caused by an abnormal electrical discharge from the brain neurons. The pathogenesis of epilepsy is complex and remains elusive. Nowadays, drug therapy is the mainstay method for the treatment of epilepsy. More than 30 antiseizure drugs (ASDs) were approved for clinical use. Unfortunately, about 30% of patients still display pharmacoresistance against ASDs. The long-term use of ASDs may cause adverse effects, raise tolerability concerns, bring unexpected drug interactions, generate withdrawal symptoms, and increase the economic burden. Thus, the research uncovering more effective ASDs that are safe is still a difficult and urgent task. In this Perspective, we describe the pathogenesis, clinical trials, and drug therapy progress of epilepsy, focusing on summarizing the current situation of small-molecule drug candidates progressing in epilepsy therapy, which provides future directions for the development of more promising ASDs.

Chronic Noise Exposure and Risk of Dementia: A Systematic Review and Dose-Response Meta-Analysis.

Objective: Evidence is scarce about the effect of noise exposure on the risk of dementia. We conducted a systematic review and dose-response meta-analysis, aiming to explore the association between noise exposure and the risk of dementia. Methods: We searched PubMed, EMBASE and the Cochrane Library to collect studies on chronic noise exposure and the risk of dementia from database inception to September 18, 2021 without language limitations. Two authors independently screened the literature, extracted data and assessed the risk of bias of the included studies. A dose-response meta-analysis and subgroup analysis were then conducted to detect the association between noise exposure and the risk of dementia by using Stata 14.0 software. This study is registered on PROSPERO (CRD42021249243). Results: A total of 11 studies were eligible for qualitative synthesis, and nine were eligible for quantitative data synthesis. All of them showed moderate to high quality scores in the assessment of risk of bias. We found a positive linear association between the noise increment and dementia risk (R2 = 0.58). When noise exposure increased 57 dB, the RR of dementia was 1.47 (95% CI: 1.21-1.78). From the outcome subgroup of AD, AD and dementia, VaD and NAD, we also found a positive association (R2 = 0.68, 0.68, 0.58, respectively). When noise exposure increased by 25 dB, the RRs were 1.18 (95% CI: 1.14-1.23), 1.19 (95% CI: 1.14-1.23) and 1.17 (95% CI: 1.06-1.30), respectively. We found a nonlinear association between the noise increment and dementia risk when only cohort studies were included (R2 = 0.58). When noise exposure increased by 25 dB, the RR of dementia was 1.16 (95% CI: 1.12-1.20). From the subgroup of AD, AD and dementia, VaD and NAD of cohort studies, the regression curve showed a nonlinear positive association (R2 = 0.74, 0.71, 0.43, respectively). When noise exposure increased by 25 dB, the RRs were 1.17 (95% CI: 1.12-1.21), 1.17 (95% CI: 1.12-1.22) and 1.13 (95% CI: 0.99-1.28), respectively. Conclusion: Based on the current evidence, exposure to noise may be a specific risk factor for dementia. To better prevent dementia, more rigorously designed studies are needed to explore the etiological mechanism of noise and dementia.

[Role and Significance of Bioactive Substances in Sputum
 in the Diagnosis of Lung Cancer].

The incidence rate of lung cancer is one of the highest incidence of malignancies in China. The gold standard for diagnosis requires pathological examination or cytological examination of biopsy. The invasive and sensitive nature of the two limits their use. Sputum contains a large number of nucleic acids and proteins, which is a good reflection of lung function. Lung cancer tissue will also affect the biological components in sputum. The detection of bioactive substances in sputum can contribute to the diagnosis of lung cancer. Based on the current research results at home and abroad, this paper reviews the bioactive substances in sputum that can be used for the diagnosis of lung cancer.
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