Analysis of the epidemiological situation of influenza in Guangzhou under the prevention and control of COVID-19 in June 2022.

OBJECTIVE: Under the prevention and control measures of COVID-19, the epidemiological situation of respiratory pathogens is not well known. Understanding the patterns of respiratory pathogens epidemiology under the prevention and control measures of COVID-19 is important to guide resource allocation for existing and future treatment and prevention strategies. METHODS: In total, 659 fever outpatients nasopharyngeal swabs were collected at fever illness onset during June in 2022 at the First Hospital of Guangzhou Medical University. Swabs were tested by real-time fluorescent single-tube multiplex polymerase chain reaction (PCR) for 12 respiratory pathogens. Moreover, 108 of the 659 swabs were tested for influenza virus antigen. RESULTS: At least one pathogen was detected in 477 (72.38%) of 659 fever outpatients with multiple pathogens identified in 25 (3.79%). The highest multiple infectious pattern is parainfluenza virus in combination with influenza (five cases). Influenza A virus (IFA), human rhinovirus (HRV), and parainfluenza virus are the three leading virus pathogens with proportions of 64.64%, 5.01%, and 2.88%. School-age children and adult groups have the highest pathogens positivity rate of 81.28% and 83.87%. CONCLUSION: A high proportion of adolescents and adults has respiratory pathogens detected during fever illnesses during June in 2022 under the prevention and control of COVID-19. These data indicate that diagnosis, prevention, and control of respiratory tract infection should be paid attention under the prevention and control of COVID-19.

Peripheral blood transcriptomic profiling of molecular mechanisms commonly regulated by binge drinking and placebo effects.

Molecular responses to alcohol consumption are dynamic, context-dependent, and arise from a complex interplay of biological and external factors. While many have studied genetic risk associated with drinking patterns, comprehensive studies identifying dynamic responses to pharmacologic and psychological/placebo effects underlying binge drinking are lacking. We investigated transcriptome-wide response to binge, medium, and placebo alcohol consumption by 17 healthy heavy social drinkers enrolled in a controlled, in-house, longitudinal study of up to 12 days. Using RNA-seq, we identified 251 and 13 differentially expressed genes (DEGs) in response to binge drinking and placebo, respectively. Eleven protein-coding DEGs had very large effect sizes in response to binge drinking (Cohen's d > 1). Furthermore, binge dose significantly impacted the Cytokine-cytokine receptor interaction pathway (KEGG: hsa04060) across all experimental sequences. Placebo also impacted hsa04060, but only when administered following regular alcohol drinking sessions. Similarly, medium-dose and placebo commonly impacted KEGG pathways of Systemic lupus erythematosus, Neutrophil extracellular trap formation, and Alcoholism based on the sequence of drinking sessions. These findings together indicate the "dose-extending effects" of placebo at a molecular level. Furthermore, besides supporting alcohol dose-specific molecular changes, results suggest that the placebo effects may induce molecular responses within the same pathways regulated by alcohol.

Attention deficit hyperactivity disorder in children with epilepsy: a multicenter cross-sectional analysis in China.

BACKGROUND: The diagnosis and treatment of attention deficit hyperactivity disorder (ADHD) comorbid with epilepsy have been insufficiently addressed in China. We conducted a study in China to investigate the current status, diagnosis, and treatment of ADHD in children to further our understanding of ADHD comorbid with epilepsy, strengthen its management, and improve patients' quality of life. METHODS: We carried out a multicenter cross-sectional survey of children with epilepsy across China between March 2022 and August 2022. We screened all patients for ADHD and compared various demographic and clinical factors between children with and without ADHD, including gender, age, age at epilepsy onset, duration of epilepsy, seizure types, seizure frequency, presence of epileptiform discharges, and treatment status. Our objective was to explore any possible associations between these characteristics and the prevalence of ADHD. RESULTS: Overall, 395 epilepsy patients aged 6-18 years were enrolled. The age at seizure onset and duration of epilepsy ranged from 0.1-18 to 0.5-15 years, respectively. Focal onset seizures were observed in 212 (53.6%) patients, while 293 (76.3%) patients had epileptiform interictal electroencephalogram (EEG) abnormalities. Among the 370 patients treated with anti-seizure medications, 200 (54.1%) had monotherapy. Although 189 (47.8%) patients had ADHD, only 31 received treatment for it, with the inattentive subtype being the most common. ADHD was more common in children undergoing polytherapy compared to those on monotherapy. Additionally, poor seizure control and the presence of epileptiform interictal EEG abnormalities may be associated with a higher prevalence of ADHD. CONCLUSIONS: While the prevalence of ADHD was higher in children with epilepsy than in normal children, the treatment rate was notably low. This highlights the need to give more importance to the diagnosis and treatment of ADHD in children with epilepsy.

A cross-sectional, multicenter survey of the prevalence and influencing factors for migraine in epilepsy.

OBJECTIVES: Epilepsy and migraine are common chronic neurological disease. Epidemiologic studies and shared pathophysiology and treatment suggest that these two diseases overlap. However, migraine is often underestimated among patients with epilepsy. This study aimed to evaluate the prevalence of migraine and identify the related influencing factors among adult patients with epilepsy. METHODS: Adult patients with epilepsy were recruited at the outpatient epilepsy clinic of 13 tertiary hospitals in China from February to September 2022. ID Migraine questionnaire was applied to evaluate for migraine. Both univariable and multivariable logistic regression models were used to explore the influencing factors of migraine. RESULTS: A total of 1326 patients with epilepsy were enrolled in this study. The prevalence of migraine among patients with epilepsy was 19.2% (254/1326). In the multivariable analysis, being female (OR = 1.451, 95% CI: 1.068-1.975; p = 0.018), focal and focal to bilateral tonic-clonic seizures (OR = 1.583, 95% CI: 1.090-2.281; p = 0.015), and current seizure attack in the last 3 months (OR = 1.967, 95% CI: 1.282-3.063; p = 0.002) were the influencing factors for migraine. However, <10% of patients with epilepsy received analgesics for migraine. SIGNIFICANCE: Approximately 20% of patients with epilepsy screened positive for migraine. Being female, focal and focal to bilateral tonic-clonic seizures, and current seizure attack in the last 3 months were the influencing factors for migraine. Neurologists should pay more attention to the screening and management of the migraine among patients with epilepsy in China. PLAIN LANGUAGE SUMMARY: Epilepsy and migraine are common chronic neurological disease with shared pathophysiological mechanisms and therapeutic options. However, migraine is often underestimated among patients with epilepsy. This multicenter study aimed to evaluate the prevalence of migraine and current status of treatment. In this study, approximately 20% of patients with epilepsy screened positive for migraine. Female, focal and focal to bilateral tonic-clonic seizures, and current seizure attack in the last 3 months were identified as independent influencing factors for migraine. Despite the high prevalence, the treatment for migraine was not optimistic, neurologists should pay more attention to the screening and management of migraine.

Obesity Paradox in Patients with Acute Coronary Syndrome: Is Malnutrition the Answer?

BACKGROUND: Obesity paradox has been reported in patients with cardiovascular disease, showing an inverse association between obesity as defined by BMI (in kg/m2) and prognosis. Nutritional status is associated with systemic inflammatory response and affects cardiovascular disease outcomes. OBJECTIVES: This study sought to examine the influence of obesity and malnutrition on the prognosis of patients with acute coronary syndrome (ACS). METHODS: This study included consecutive patients diagnosed with ACS and underwent coronary angiogram between January 2009 and February 2023. At baseline, patients were categorized according to their BMI as follows: underweight (<18), normal weight (18-24.9), overweight (25.0-29.9), and obese (>30.0). We assessed the nutritional status by Prognostic Nutritional Index (PNI). Malnutrition was defined as a PNI value of <38. RESULTS: Of the 21,651 patients with ACS, 582 (2.7%) deaths from any cause were observed over 28.7 months. Compared with the patient's state of normal weight, overweight, and obesity were associated with decreased risk of all-cause mortality. Malnutrition was independently associated with poor survival (hazards ratio: 2.64; 95% CI: 2.24, 3.12; P < 0.001). In malnourished patients, overweight and obesity showed a 39% and 72% reduction in the incidence of all-cause mortality, respectively. However, in nourished patients, no significant reduction in the incidence of all-cause mortality was observed (all P > 0.05). CONCLUSIONS: Obesity paradox appears to occur in patients with ACS. Malnutrition may be a significant independent risk factor for prognosis in patients with ACS. The obesity paradox is influenced by the status of malnutrition.

Clinical characteristics and prognosis of patients with hypertrophic cardiomyopathy and heart failure with preserved ejection fraction.

BACKGROUND: Whether heart failure with preserved ejection fraction (HFpEF) is associated with an increased risk of developing systolic dysfunction and a poor prognosis in hypertrophic cardiomyopathy (HCM) patients is unknown. OBJECTIVE: We aimed to assess risk factors for the development of end-stage (ES) heart failure (HF) (ejection fraction < 50%) and compare the prognosis of different HF phenotypes. METHODS: This retrospective study was conducted on patients with HCM in China between January 2009 and February 2023. Patients were stratified into three different groups: HCM-non-HF, HCM-HFpEF and HCM-heart failure with reduced ejection fraction (HCM-HFrEF). The primary outcome was a composite of major adverse cardiac events (MACEs), including all-cause deaths, HF hospitalization, sudden cardiac death and ventricular tachycardia. RESULTS: Of 3,620 HCM patients enrolled, 1,553 (42.9%) had non-HF, 1,666 (46.0%) had HFpEF, and 579 patients (11.1%) had HFrEF at baseline. During the median follow-up period of 4.0 years (IQR 1.4-9.4 years), patients with HCM-HFpEF exhibited a higher incidence of ES-HF than those with HCM-non-HF (12.4% vs. 2.7%, P < 0.001). HFpEF was an independent risk factor for ES-HF development (HR 3.84, 2.54-5.80, P < 0.001). MACEs occurred in 26.9% with a higher incidence in HCM-HFpEF than HCM-non-HF (36.6% vs 12.2%, P < 0.001). HFpEF was an independent predictor of MACEs (HR 2.13, 1.75-2.59, P < 0.001). CONCLUSIONS: HFpEF is common in HCM. Compared to non-HF, it increases the risk of LVEF decline and poor prognosis. It may aid in risk stratification and need close echocardiography follow-up.

Mesoscopic mapping of hemodynamic responses and neuronal activity during pharmacologically induced interictal spikes in awake and anesthetized mice.

Imaging hemodynamic responses to interictal spikes holds promise for presurgical epilepsy evaluations. Understanding the hemodynamic response function is crucial for accurate interpretation. Prior interictal neurovascular coupling data primarily come from anesthetized animals, impacting reliability. We simultaneously monitored calcium fluctuations in excitatory neurons, hemodynamics, and local field potentials (LFP) during bicuculline-induced interictal events in both isoflurane-anesthetized and awake mice. Isoflurane significantly affected LFP amplitude but had little impact on the amplitude and area of the calcium signal. Anesthesia also dramatically blunted the amplitude and latency of the hemodynamic response, although not its area of spread. Cerebral blood volume change provided the best spatial estimation of excitatory neuronal activity in both states. Targeted silencing of the thalamus in awake mice failed to recapitulate the impact of anesthesia on hemodynamic responses suggesting that isoflurane's interruption of the thalamocortical loop did not contribute either to the dissociation between the LFP and the calcium signal nor to the alterations in interictal neurovascular coupling. The blood volume increase associated with interictal spikes represents a promising mapping signal in both the awake and anesthetized states.

Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review).

Artificial intelligence (AI) has emerged as a crucial technique for extracting high­throughput information from various sources, including medical images, pathological images, and genomics, transcriptomics, proteomics and metabolomics data. AI has been widely used in the field of diagnosis, for the differentiation of benign and malignant ovarian cancer (OC), and for prognostic assessment, with favorable results. Notably, AI­based radiomics has proven to be a non­invasive, convenient and economical approach, making it an essential asset in a gynecological setting. The present study reviews the application of AI in the diagnosis, differentiation and prognostic assessment of OC. It is suggested that AI­based multi­omics studies have the potential to improve the diagnostic and prognostic predictive ability in patients with OC, thereby facilitating the realization of precision medicine.

A Chinese patient with POLR3A-related leukodystrophy: a case report and literature review.

Background: Leukodystrophies are hereditary white matter diseases characterized by genetic polymorphisms and considerable phenotypic variability. They can be classified into myelin and non-myelin malformations. These diseases are rare, affecting 1 out of 250,000-500,000 individuals and can manifest at any age. A subtype of leukodystrophy, associated with missense mutations in the RNA polymerase subunit III (POLR3A) gene, is inherited in an autosomal recessive manner. Case report: We report and analyse a case of a 34-year-old female who presented with ataxia. Magnetic Resonance Imaging (MRI) of the brain revealed demyelinating lesions in the white matter. Genetic testing identified the c.4044C > G and c.1186-2A > G variants in the POLR3A gene. The patient was diagnosed with hypomyelinating leukodystrophy type 7 and received neurotrophic and symptomatic supportive therapy. However, after 1 month of follow-up, there was no improvement in her symptoms. Conclusion: POLR3A-induced leukodystrophy is relatively rare and not well understood, making it challenging to diagnose and easy to overlook. The prognosis for this disease is generally poor, significantly impacting the quality of life of affected individuals. Currently, no cure is available for this condition, and treatment is limited to managing symptoms. Further research into new treatment methods for POLR3A-induced leukodystrophy is imperative to improve the quality of life and potentially extend the life expectancy of patients.

Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images.

Background: Gastric cancer is a highly prevalent and fatal disease. Accurate differentiation between early gastric cancer (EGC) and advanced gastric cancer (AGC) is essential for personalized treatment. Currently, the diagnostic accuracy of computerized tomography (CT) for gastric cancer staging is insufficient to meet clinical requirements. Many studies rely on manual marking of lesion areas, which is not suitable for clinical diagnosis. Methods: In this study, we retrospectively collected data from 341 patients with gastric cancer at the First Affiliated Hospital of Wenzhou Medical University. The dataset was randomly divided into a training set (n=273) and a validation set (n=68) using an 8:2 ratio. We developed a two-stage deep learning model that enables fully automated EGC screening based on CT images. In the first stage, an unsupervised domain adaptive segmentation model was employed to automatically segment the stomach on unlabeled portal phase CT images. Subsequently, based on the results of the stomach segmentation model, the image was cropped out of the stomach area and scaled to a uniform size, and then the EGC and AGC classification models were built based on these images. The segmentation accuracy of the model was evaluated using the dice index, while the classification performance was assessed using metrics such as the area under the curve (AUC) of the receiver operating characteristic (ROC), accuracy, sensitivity, specificity, and F1 score. Results: The segmentation model achieved an average dice accuracy of 0.94 on the hand-segmented validation set. On the training set, the EGC screening model demonstrated an AUC, accuracy, sensitivity, specificity, and F1 score of 0.98, 0.93, 0.92, 0.92, and 0.93, respectively. On the validation set, these metrics were 0.96, 0.92, 0.90, 0.89, and 0.93, respectively. After three rounds of data regrouping, the model consistently achieved an AUC above 0.9 on both the validation set and the validation set. Conclusion: The results of this study demonstrate that the proposed method can effectively screen for EGC in portal venous CT images. Furthermore, the model exhibits stability and holds promise for future clinical applications.

Is Lymphadenectomy Reasonable for Elderly Intrahepatic Cholangiocarcinoma Patients?

BACKGROUND: In this study, we aimed to determine the impact of lymphadenectomy (LND) on clinical outcomes in ICC patients aged ≥ 70 years. METHODS: Four hundred and three eligible patients diagnosed with ICC who underwent hepatectomy between 2004 and 2019 were enrolled in the Surveillance, Epidemiology, and End Results database. The impact of LND on perioperative mortality and overall survival (OS) as well as the optimal total number of lymph nodes examined (TNLE) was estimated. RESULTS: One hundred thirty-nine pairs of patients were matched by propensity score matching. Perioperative mortality was comparable between the LND and non-LND (nLND) groups (0.7% vs. 2.9%, P = 0.367). The median OS in the LND group was significantly longer (44 vs. 32 months, P = 0.045) and LND was identified as an independent protective factor for OS by multivariate analysis (HR 0.65, 95% CI 0.46-0.92, P = 0.014). Patients with the following characteristics were potential beneficiaries of LND: white, female, no/moderate fibrosis, tumor size > 5 cm, solitary tumor, and localized invasion (all P < 0.05). TNLE ≥ 6 had the greatest discriminatory power for identifying lymph node metastasis (area under the curve, 0.704, Youden index, 0.365, P = 0.002). Patients with pathologically confirmed lymph node metastasis are likely to benefit from adjuvant therapy (40 months vs. 4 months, P = 0.052). CONCLUSIONS: Advanced age (≥ 70 years) was not a contraindication for LND, which facilitates accurate nodal staging and guides postoperative management. Appropriately selected elderly populations could benefit from LND.

Prevalence and risk factors of anxiety and depression in adult patients with epilepsy: a multicenter survey-based study.

Background: Depression and anxiety are the most common psychiatric comorbidities in patients with epilepsy (PWE). However, they are often unrecognized and consequently untreated. Objective: The study was conducted to evaluate the prevalence and risk factors of anxiety and depression among Chinese adult PWE. Design: Cross-sectional study. Methods: Adult PWE were recruited from 13 tertiary epilepsy centers from February to September 2022. Generalized Anxiety Disorder-7 and Neurological Disorders Depression Inventory for Epilepsy were applied to evaluate anxiety and depression, respectively. Both univariate and multivariate logistic regression analyses models were performed to explore the risk factors of anxiety and depression. Results: A total of 1326 PWE were enrolled in this study. The prevalence of anxiety and depression was 31.45% and 27.30%, respectively. Being female [odds ratio (OR) = 1.467, 95% CI: 1.134-1.899; p = 0.004], focal and focal to bilateral tonic-clonic seizures (TCSZ) (OR = 1.409, 95% CI: 1.021-1.939; p = 0.036), and seizure occurrence in the last 3 months (OR = 1.445, 95% CI: 1.026-2.044; p = 0.036) were the risk factors for anxiety. Focal and focal to bilateral TCSZ (OR = 1.531, 95% CI: 1.094-2.138; p = 0.013) and seizure occurrence in the last 3 months (OR = 1.644, 95% CI: 1.130-2.411; p = 0.010) were the risk factors for depression. In addition, for every 1-year increment of age, the odds of developing depression were decreased by 3.8% (p = 4.12e-5). Nevertheless, up to 70% of PWE did not receive any treatment for comorbidity. Conclusion: There were approximately 30% of PWE screened positive for anxiety or depression. Both focal and focal to bilateral TCSZ and seizure occurrence in the last 3 months were estimated as risk factors for anxiety and depression. However, the current status of treatment was not optimal.

COVID-19 vaccination for patients with epilepsy: A Chinese expert consensus.

Coronavirus disease-2019 (COVID-19) first emerged in late 2019 and has since spread worldwide. More than 600 million people have been diagnosed with COVID-19, and over 6 million have died. Vaccination against COVID-19 is one of the best ways to protect humans. Epilepsy is a common disease, and there are approximately 10 million patients with epilepsy (PWE) in China. However, China has listed "uncontrolled epilepsy" as a contraindication for COVID-19 vaccination, which makes many PWE reluctant to get COVID-19 vaccination, greatly affecting the health of these patients in the COVID-19 epidemic. However, recent clinical practice has shown that although a small percentage of PWE may experience an increased frequency of seizures after COVID-19 vaccination, the benefits of COVID-19 vaccination for PWE far outweigh the risks, suggesting that COVID-19 vaccination is safe and recommended for PWE. Nonetheless, vaccination strategies vary for different PWE, and this consensus provides specific recommendations for PWE to be vaccinated against COVID-19.

Factors related to the severity of obsessive-compulsive symptoms and their impact on suicide risk in epileptic patients.

OBJECTIVE: To explore relevant factors for the severity of obsessive-compulsive symptoms (OCSs) in adult epileptic patients and investigate whether the severity of OCSs is a mediator in the relationship between depressive/anxiety symptoms and suicide risk in epileptic patients. METHODS: This was a cross-sectional study from a hospital in Northeast China. Yale-Brown Obsessive Compulsive Scale (Y-BOCS), Neurological Disorders Depression Inventory for Epilepsy (NDDIE), Generalized Anxiety Disorder (GAD-7), and Nurses' Global Assessment of Suicide Risk (NGASR) were used to assess the severity of OCSs, depressive symptoms, anxiety symptoms, and suicide risk in epileptic patients, respectively. The independent factors of the severity of OCSs and their mediating effects in the relationship between depressive/anxiety symptoms and suicide risk were evaluated by regression analyses and mediator models, respectively. RESULTS: NDDIE scores (ß = 0.404, p < 0.001), GAD-7 scores (ß = 0.247, p = 0.009), and polytherapy (ß = 0.119, p = 0.032) were the independent factors of Y-BOCS scores. The Y-BOCS scores partially mediated the relationship between GAD-7 scores and NGASR scores (standardized coefficients of indirect effect = 0.109, Bootstrap 95% CI = 0.024 to 0.214). Still, they did not mediate the relationship between NDDIE scores and NGASR scores (standardized coefficients of indirect effect = 0.062, Bootstrap 95% CI = -0.024 to 0.169). CONCLUSIONS: Depressive symptoms, anxiety symptoms, and polytherapy are independently associated with the severity of OCSs in epileptic patients. Depressive and anxiety symptoms mediate the effect of the severity of OCSs on suicide risk in epileptic patients completely.

Chain hybridization-based CRISPR-lateral flow assay enables accurate gene visual detection.

Visualized gene detection based on the CRISPR-Cas12/CRISPR-Cas13 technology and lateral flow assay device (CRISPR-LFA) has shown great potential in point-of-care testing sector. Current CRISPR-LFA methodology mainly utilizes conventional immuno-based LFA test strips, which could visualize whether the reporter probe is trans-cleaved by Cas protein, indicating the target positive detection. However, conventional CRISPR-LFA usually produces false-positive results in target negative assay. Herein, a nucleic acid Chain Hybridization-based Lateral Flow Assay platform, named CHLFA, has been developed to achieve the CRISPR-CHLFA concept. Different from the conventional CRISPR-LFA, the proposed CRISPR-CHLFA system was established based on the nucleic acid hybridization between the GNP-probe embedded in test strips and ssDNA (or ssRNA) reporter from CRISPR (LbaCas12a or LbuCas13a) reaction, which eliminated the requirement of immunoreaction in conventional immuno-based LFA. The assay realized the detection of 1-10 copy of target gene per reaction within 50 min. The CRISPR-CHLFA system achieved highly accurate visual detection of target negative samples, thus overcoming the false-positive problem that often produced in assays using conventional CRISPR-LFA. The CRISPR-CHLFA platform was further adopted for the visual detection of marker gene from SASR-CoV-2 Omicron variant and Mycobacterium tuberculosis (MTB), respectively, and 100% accuracy for the analysis of clinical specimens (45 SASR-CoV-2 specimens and 20 MTB specimens) was obtained. The proposed CRISPR-CHLFA system could provide an alternative platform for the development of POCT biosensors and can be widely adopted in accurate and visualized gene detection.

Excitatory-inhibitory mismatch shapes node recruitment in an epileptic network.

OBJECTIVE: Focal epilepsy is thought to be a network disease, in which epileptiform activity can spread noncontiguously through the brain via highly interconnected nodes, or hubs, within existing networks. Animal models confirming this hypothesis are scarce, and our understanding of how distant nodes are recruited is also lacking. Whether interictal spikes (IISs) also create and reverberate through a network is not well understood. METHODS: We injected bicuculline into the S1 barrel cortex and employed multisite local field potential and Thy-1 and parvalbumin (PV) cell mesoscopic calcium imaging during IISs to monitor excitatory and inhibitory cells in two monosynaptically connected nodes and one disynaptically connected node: ipsilateral secondary motor area (iM2), contralateral S1 (cS1), and contralateral secondary motor area (cM2). Node participation was analyzed with spike-triggered coactivity maps. Experiments were repeated with 4-aminopyridine as an epileptic agent. RESULTS: We found that each IIS reverberated throughout the network, differentially recruiting both excitatory and inhibitory cells in all connected nodes. The strongest response was found in iM2. Paradoxically, node cM2, which was connected disynaptically to the focus, was recruited more intensely than node cS1, which was connected monosynaptically. The explanation for this effect could be found in node-specific excitatory/inhibitory (E/I) balance, as cS1 demonstrated greater PV inhibitory cell activation compared with cM2, where Thy-1 excitatory cells were more heavily recruited. SIGNIFICANCE: Our data show that IISs spread noncontiguously by exploiting fiber pathways that connect nodes in a distributed network and that E/I balance plays a critical role in node recruitment. This multinodal IIS network model can be used to investigate cell-specific dynamics in the spatial propagation of epileptiform activity.

Using Contactless Facial Image Recognition Technology to Detect Blood Oxygen Saturation.

Since the outbreak of COVID-19, as of January 2023, there have been over 670 million cases and more than 6.8 million deaths worldwide. Infections can cause inflammation in the lungs and decrease blood oxygen levels, which can lead to breathing difficulties and endanger life. As the situation continues to escalate, non-contact machines are used to assist patients at home to monitor their blood oxygen levels without encountering others. This paper uses a general network camera to capture the forehead area of a person's face, using the RPPG (remote photoplethysmography) principle. Then, image signal processing of red and blue light waves is carried out. By utilizing the principle of light reflection, the standard deviation and mean are calculated, and the blood oxygen saturation is computed. Finally, the effect of illuminance on the experimental values is discussed. The experimental results of this paper were compared with a blood oxygen meter certified by the Ministry of Health and Welfare in Taiwan, and the experimental results had only a maximum error of 2%, which is better than the 3% to 5% error rates in other studies The measurement time was only 30 s, which is better than the one minute reported using similar equipment in other studies. Therefore, this paper not only saves equipment expenses but also provides convenience and safety for those who need to monitor their blood oxygen levels at home. Future applications can combine the SpO2 detection software with camera-equipped devices such as smartphones and laptops. The public can detect SpO2 on their own mobile devices, providing a convenient and effective tool for personal health management.

Adsorption and desorption characteristics of heavy metals onto conventional and biodegradable plastics.

Biodegradable plastics have been widely used to replace conventional plastics to minimize environmental impacts of plastic packaging. However, before biodegradable plastics decompose in the environment, they could pose a threat to terrestrial and aquatic creatures by acting as vectors of contaminants in the food chain. In this study, conventional plastic bags (CPBs) made of polyethylene and biodegradable plastic bags (BPBs) made of polylactic acid were examined for their heavy metal adsorption. Effects of solution pHs and temperatures on adsorption reactions were investigated. Because of a larger BET surface area, presence of oxygen-containing function groups, and smaller crystallinity, the heavy metal adsorption capacities of BPBs are significantly larger than those of CPBs. Among Cu (up to 791.48 mg⋅kg-1), Ni (up to 60.88 mg⋅kg-1), Pb (up to 1414.58 mg⋅kg-1), and Zn (up to 295.17 mg⋅kg-1), Pb and Ni show the largest and the lowest extents of adsorption onto the plastic bags, respectively. In the different waterbodies in nature, Pb adsorption on the CPBs and the BPBs were 318.09-379.91 and 528.41-764.22 mg⋅kg-1, respectively. Consequently, Pb was selected as the target contaminant in the desorption experiments. After Pb was adsorbed onto the CPBs and the BPBs, Pb could be completely desorbed and released into simulated digestive systems in 10 h. In conclusion, BPBs could be potential vectors of heavy metals, and their suitability as a substitute for CPBs must be thoroughly investigated and confirmed.

Efavirenz restored NMDA receptor dysfunction and inhibited epileptic seizures in GluN2A/Grin2a mutant mice.

Introduction: N-methyl-D-aspartate receptor (NMDAR) is one of the main receptor of the excitatory neurotransmitter glutamate in the brain, which is the key determinant of the excitatory/inhibitory balance of neural network. GluN2A/GRIN2A is one of the subunits of NMDAR and plays an important role in epilepsy. Approximately 78% of patients with GluN2A/Grin2a mutations have epilepsy, and the underlying mechanism of this association is not well characterized. Methods: We constructed a mouse model of hyperthermic seizure, and conducted in vitro and in vivo electrophysiological and behavioral studies to clarify the pathogenic characteristics and mechanism of GluN2A/GRIN2A-V685G mutation. In addition, the drug efavirenz (EFV), which is used to treat HIV infection, was administrated to mutant animals to assess whether it can restore the loss of function. Results: Mutant mice showed no significant change in the mRNA or protein expressions of NMDAR compared with wild type (WT) mice. Mice with GluN2A/GRIN2A-V685G mutation exhibited shorter latency to seizure, increased frequency of seizure-like events, decreased peak current and current area of NMDAR excitatory postsynaptic current, and decreased event frequency of micro-inhibitory postsynaptic current, compared to WT mice. They also exhibited decreased threshold, increased amplitude, increased input resistance, and increased root number of action potential. EFV administration reversed these changes. The loss-of-function (LoF) mutation of NMDAR changed the excitatory/inhibitory balance of neural network, rendering animal more prone to seizures. Discussion: EFV was indicated to hold its potential in the treatment of inherited epilepsy.

Peripheral blood transcriptomic profiling indicates molecular mechanisms commonly regulated by binge-drinking and placebo-effects.

Molecular changes associated with alcohol consumption arise from complex interactions between pharmacological effects of alcohol, psychological/placebo context surrounding drinking, and other environmental and biological factors. The goal of this study was to tease apart molecular mechanisms regulated by pharmacological effects of alcohol - particularly at binge-drinking, from underlying placebo effects. Transcriptome-wide RNA-seq analyses were performed on peripheral blood samples collected from healthy heavy social drinkers (N=16) enrolled in a 12-day randomized, double-blind, cross-over human laboratory trial testing three alcohol doses: Placebo, moderate (0.05g/kg (men), 0.04g/kg (women)), and binge (1g/kg (men), 0.9g/kg (women)), administered in three 4-day experiments, separated by minimum of 7-day washout periods. Effects of beverage doses on the normalized gene expression counts were analyzed within each experiment compared to its own baseline using paired-t-tests. Differential expression of genes (DEGs) across experimental sequences in which each beverage dose was administered, as well as responsiveness to regular alcohol compared to placebo (i.e., pharmacological effects), were analyzed using generalized linear mixed-effects models. The 10% False discovery rate-adjusted DEGs varied across experimental sequences in response to all three beverage doses. We identified and validated 22 protein coding DEGs potentially responsive to pharmacological effects of binge and medium doses, of which 11 were selectively responsive to binge dose. Binge-dose significantly impacted the Cytokine-cytokine receptor interaction pathway (KEGG: hsa04060) across all experimental-sequences that it was administered in, and during dose-extending placebo. Medium dose and placebo impacted pathways hsa05322, hsa04613, and hsa05034, in the first two and last experimental sequences, respectively. In summary, our findings add novel, and confirm previously reported data supporting dose-dependent effects of alcohol on molecular mechanisms and suggest that the placebo effects may induce molecular responses within the same pathways regulated by alcohol. Innovative study designs are required to validate molecular correlates of placebo effects underlying drinking.