Lipocalin 2 (LCN2) confers acquired resistance to almonertinib in NSCLC through LCN2-MMP-9 signaling pathway.

Almonertinib, a third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor, is highly selective for EGFR-activating mutations as well as the EGFR T790M mutation in patients with advanced non-small cell lung cancer (NSCLC). However, the development of resistance inevitably occurs and poses a major obstacle to the clinical efficacy of almonertinib. Therefore, a clear understanding of the mechanism is of great significance to overcome drug resistance to almonertinib in the future. In this study, NCI-H1975 cell lines resistant to almonertinib (NCI-H1975 AR) were developed by concentration-increasing induction and were employed for clarification of underlying mechanisms of acquired resistance. Through RNA-seq analysis, the HIF-1 and TGF-ß signaling pathways were significantly enriched by gene set enrichment analysis. Lipocalin-2 (LCN2), as the core node in these two signaling pathways, were found to be positively correlated to almonertinib-resistance in NSCLC cells. The function of LCN2 in the drug resistance of almonertinib was investigated through knockdown and overexpression assays in vitro and in vivo. Moreover, matrix metalloproteinases-9 (MMP-9) was further identified as a critical downstream effector of LCN2 signaling, which is regulated via the LCN2-MMP-9 axis. Pharmacological inhibition of MMP-9 could overcome resistance to almonertinib, as evidenced in both in vitro and in vivo models. Our findings suggest that LCN2 was a crucial regulator for conferring almonertinib-resistance in NSCLC and demonstrate the potential utility of targeting the LCN2-MMP-9 axis for clinical treatment of almonertinib-resistant lung adenocarcinoma.

Prenatal diagnosis and intervention improve developmental outcomes and epilepsy prognosis in children with tuberous sclerosis complex.

AIM: To assess whether prenatal diagnosis and early intervention are beneficial for developmental outcomes and epilepsy prognosis in individuals with tuberous sclerosis complex (TSC). METHOD: This retrospective study originated from a single-centre TSC-specific cohort. We enrolled 273 individuals (138 males, 145 females; 2 years-7 years 6 months, mean 4 years 5 months, SD 1 year 6 months) with definitive TSC who completed TSC1/TSC2 genetic testing and were followed up to 2 years of age. The benefits of early attention and intervention were assessed by comparing epilepsy and developmental outcomes between groups with or without a prenatal diagnosis and with or without presymptomatic preventive intervention. RESULTS: The epilepsy occurrence rate was significantly lower in individuals diagnosed prenatally than in individuals diagnosed postnatally (p = 0.027). In individuals diagnosed prenatally, the epilepsy rate in the preventive intervention subgroup was significantly lower than that in the subgroup without preventive intervention (p = 0.008). Significant improvements in cognitive, language, and motor development were observed in individuals diagnosed prenatally compared to individuals diagnosed postnatally and in the preventive intervention subgroup compared to the subgroup without preventive intervention (p < 0.05). INTERPRETATION: Based on this study, we cautiously speculate that early postpartum intervention may reduce the incidence of epilepsy and intractable epilepsy and improve developmental outcomes. Prophylactic intervention with sirolimus and vigabatrin may reduce the incidence of epilepsy. Larger prospective randomized controlled studies are required to support these findings. WHAT THIS PAPER ADDS: Prenatal diagnosis and early intervention may improve developmental outcomes in children with tuberous sclerosis complex (TSC). Prophylactic intervention with sirolimus and vigabatrin may reduce the incidence of epilepsy. Cardiac and/or intracranial lesions combined with genetic testing can be used to diagnose TSC prenatally.

Vagus nerve stimulation for super-refractory status epilepticus in febrile infection-related epilepsy syndrome: a pediatric case report and literature review.

Febrile infection-related epilepsy syndrome (FIRES) is a devastating epileptic encephalopathy with limited treatment options and unclear etiology. Vagus nerve stimulation (VNS) is an FDA-approved therapy for refractory epilepsy that has been shown to decrease the frequency and severity of seizures. There is a growing interest in alternate non-pharmaceutical therapies for managing super-refractory status epilepticus (SRSE). We present a 29-month-old case, diagnosed with FIRES, whose seizures were successfully controlled by utilization of VNS after ineffective response to intensive pharmacotherapy and ketogenic diet treatment. The VNS was planted after 14 days of refractory seizure activity with a following rapid parameter titration for 42 days without evident side effect, which finally controlled the seizure in the acute phase. VNS may be a potential candidate for the treatment of SRSE in FIRES.

Inpatient medical cost of status epilepticus in children: A national-wide, multicenter study from China.

OBJECTIVES: To describe the inpatient medical cost during hospitalization in children with status epilepticus (SE) and identify factors associated with the cost by a nationwide, multicenter study in China. MATERIALS & METHODS: We retrospectively identified pediatric inpatients with SE form Hospital Information System (HIS) of 44 hospitals in 27 provinces in China between 2013 and 2015. Inpatient medical cost and factors associated with the cost were analyzed. RESULTS: A total of 4041 children diagnosed with SE with inpatient medical cost were enrolled in the present study. The median age at admission was 2.9 (range 0.1-18) years, and 2271 patients were male (56.2%). The median inpatient medical cost of children with SE was $1175.5 (665.1-2320.6). The median inpatient medical cost was $3865.6 (1837.4-8210.4) in children with SRSE and $1048.6 (619.8-1865.4) in those with N-SRSE (p < 0.0001). Children with length of hospital stay (LOS) > 7 showed a much higher inpatient medical cost than those with LOS ≤ 7 day ($2300.7 vs. $767.2, p < 0.0001). Regarding different etiologies, children with acute symptomatic etiology showed the highest median inpatient medical cost of $1681.1 (901.0-3699.6), in which children with central nervous system (CNS) infection reported $2606.0 (1380.0-5016.1) and prolonged febrile seizures (PFS) reported $909.8 (649.3-1322.0). Additionally, children with idiopathic/cryptogenic etiology reported a medical cost of $923.2 (548.9-1534.5). Multiple linear regression analysis of cost-driving factors revealed LOS > 7, examinations, treatment equipment and procedures, and treatment medicines were independently associated with a higher inpatient medical cost (R2 = 60.91). In addition, PFS and idiopathic/cryptogenic epilepsy etiology were independently associated with a lower cost. CONCLUSIONS: SE in children was a cost intensive disease in China with a median inpatient medical cost of $1175.5. LOS, etiology and examinations, treatment equipment and procedures, and treatment medicines were significantly associated with inpatient medical cost.

Early initial video-electro-encephalography combined with variant location predict prognosis of KCNQ2-related disorder.

BACKGROUND: The clinical features of KCNQ2-related disorders range from benign familial neonatal seizures 1 to early infantile epileptic encephalopathy 7. The genotype-phenotypic association is difficult to establish. OBJECTIVE: To explore potential factors in neonatal period that can predict the prognosis of neonates with KCNQ2-related disorder. METHODS: Infants with KCNQ2-related disorder were retrospectively enrolled in our study in Children's Hospital of Fudan University in China from Jan 2015 to Mar 2020. All infants were older than age of 12 months at time of follow-up, and assessed by Bayley Scales of Infant and Toddler Development-Third Edition (BSID-III) or Wechsler preschool and primary scale of intelligence-fourth edition (WPPSI-IV), then divided into three groups based on scores of BSID-III or WPPSI-IV: normal group, mild impairment group, encephalopathy group. We collected demographic variables, clinical characteristics, neuroimaging data. Considered variables include gender, gestational age, birth weight, age of the initial seizures, early interictal VEEG, variant location, delivery type. Variables predicting prognosis were identified using multivariate ordinal logistic regression analysis. RESULTS: A total of 52 infants were selected in this study. Early interictal video-electro-encephalography (VEEG) (ß = 2.77, 1.20 to 4.34, P = 0.001), and variant location (ß = 2.77, 0.03 to 5.5, P = 0.048) were independent risk factors for prognosis. The worse the early interictal VEEG, the worse the prognosis. Patients with variants located in the pore-lining domain or S4 segment are more likely to have a poor prognosis. CONCLUSIONS: The integration of early initial VEEG and variant location can predict prognosis. An individual whose KCNQ2 variant located in voltage sensor, the pore domain, with worse early initial VEEG background, often had an adverse outcome.

Identification of TSC2 mosaic mutation limited to cortical tuber with TSC targeted sequencing: a case report and literature review.

BACKGROUND: Tuberous sclerosis complex (TSC) is an autosomal dominant disorder, mainly in childhood presents epilepsy due to cortical tubers. TSC1/TSC2 pathogenic variants cannot be detected in regular molecular genetic testing in around 10-15% of TSC patients. METHODS: We analyzed TSC genes in both cortical tuber, blood and skin samples from a pediatric patient with refractory epilepsy. RESULTS: We found no germline mutations by whole-exome sequencing. Well in targeted sequencing of TSC1/2 data, we identified de novo mutations only in cortical tuber: TSC2 NM_000548.5: exon34:c.4183C>T (p.Gln1395*) in 3% of the alleles. No other TSC mutations were found in patient's blood and skin samples and her parents' blood sample. CONCLUSION: Our case report found TSC2 mosaic mutations can be only limited to cortical tuber in patients with TSC.

Retracted Article: lncRNA TINCR sponges miR-214-5p to upregulate ROCK1 in hepatocellular carcinoma.

BACKGROUND: Our preliminary bioinformatics analysis showed that lncRNA TINCR may absorb miR-214-5p by serving is sponge, while miR-214-5p targets ROCK1. This study aimed to investigate the interactions among these 3 factors in hepatocellular carcinoma (HCC). METHODS: Expression of TINCR, ROCK1 and miR-214-5p in HCC and non-tumor tissues was detected by performing qPCR. The correlations among TINCR, ROCK1 and miR-214-5p in HCC tissues were analyzed by performing linear regression. Overexpression experiments were performed to analyze gene interactions. Cell proliferation was analyzed by CCK-8 assay. RESULTS: We found that TINCR and ROCK1 were upregulated, while miR-214-5p was downregulated in HCC. TINCR and ROCK1 were positively correlated, while TINCR and miR-214-5p were not significantly correlated. In HCC cells, TINCR overexpression is followed by ROCK1 overexpression, while miR-214-5p overexpression induced the downregulation of ROCK1. In addition, TINCR and miR-214-5p did not affect the expression of each other. TINCR and ROCK1 overexpression led to increased rate of cancer cell proliferation, while miR-214-5p played an opposite role and reduced the effects of TINCR overexpression. Therefore, TINCR sponges miR-214-5p to upregulate ROCK1 in HCC, thereby promoting cancer cell invasion and migration.

Genetic variants in five novel loci including CFB and CD40 predispose to chronic hepatitis B.

UNLABELLED: Hepatitis B virus affects more than 2 billion people worldwide, 350 million of which have developed chronic hepatitis B (CHB). The genetic factors that confer CHB risk are still largely unknown. We sought to identify genetic variants for CHB susceptibility in the Chinese population. We undertook a genome-wide association study (GWAS) in 2,514 CHB cases and 1,130 normal controls from eastern China. We replicated 33 of the most promising signals and eight previously reported CHB risk loci through a two-stage validation totaling 6,600 CHB cases and 8,127 controls in four independent populations, of which two populations were recruited from eastern China, one from northern China and one from southern China. The joint analyses of 9,114 CHB cases and 9,257 controls revealed significant association of CHB risk with five novel loci. Four loci are located in the human leukocyte antigen (HLA) region at 6p21.3, including two nonsynonymous variants (rs12614 [R32W] in complement factor B [CFB], Pmeta =1.28 × 10(-34) ; and rs422951 [T320A] in NOTCH4, Pmeta = 5.33 × 10(-16) ); one synonymous variant (rs378352 in HLA-DOA corresponding to HLA-DOA*010101, Pmeta = 1.04 × 10(-23) ); and one noncoding variant (rs2853953 near HLA-C, Pmeta = 5.06 × 10(-20) ). Another locus is located at 20q13.1 (rs1883832 in the Kozak sequence of CD40, Pmeta = 2.95 × 10(-15) ). Additionally, we validated seven of eight previously reported CHB susceptibility loci (rs3130542 at HLA-C, rs1419881 at TCF19, rs652888 at EHMT2, rs2856718 at HLA-DQB1, rs7453920 at HLA-DQB2, rs3077 at HLA-DPA1, and rs9277535 at HLA-DPA2, which are all located in the HLA region, 9.84 × 10(-71) ≤ Pmeta ≤ 9.92 × 10(-7) ). CONCLUSION: Our GWAS identified five novel susceptibility loci for CHB. These findings improve the understanding of CHB etiology and may provide new targets for prevention and treatment of this disease.

Six-month efficacy of the Ketogenic diet is predicted after 3 months and is unrelated to clinical variables.

OBJECTIVE: The aim of this study was to evaluate the 6-month efficacy of a Ketogenic diet (KD) in children with drug-resistant epilepsy and to analyze the associated factors that affect the efficacy of a KD. METHODS: Eighty-seven pediatric patients with drug-resistant epilepsy who followed a KD for at least 6 months were included in this study. The efficacy of a KD was assessed based upon the seizure frequency, as recorded by parents and caregivers. The number of cases and the degree of efficacy in different age ranges were also considered. The effects of gender, age, seizure type, etiology, blood glucose and ketone levels, seizure frequency before the diet, and cognition on the length of time on a KD were analyzed. RESULTS: (1) There was no significant correlation between the length of time on a KD and efficacy (χ(2)=2.31, P=0.51). The 3-month efficacy of a KD was 51%, which did not further increase when the course was extended to 6 months. (2) There was a positive correlation between increased cognition and the efficacy of a KD after 3 months (γ=0.31, P=0.003). (3) The efficacy analysis of 3-month treatment with a KD revealed, with respect to seizure types, that there were 37 patients with multiple seizure phenotypes and 50 patients with a single seizure phenotype. The overall efficacy of a KD in the group with multiple seizure phenotypes was 61%. The efficacy of a KD was not statistically associated with a coexisting syndrome or a type of syndrome; however, the efficacy of a KD had a tendency to be increased in certain types of syndromes. The overall efficacy in the group with a single seizure phenotype was 87%, and the efficacy was not associated with seizure type. (4) The 3-month efficacy of a KD was not correlated with age, gender, etiology, blood glucose or ketone levels, or the seizure frequency before treatment. CONCLUSION: An observation time of 3 months is appropriate for assessing the efficacy of a KD in treating children with drug-resistant epilepsy. The factors that likely influence the efficacy of a KD are unclear, but our study suggests that incorporating more patient samples will help determine whether patients with certain syndromes can benefit from a KD.

Prognostic value of continuous electroencephalography monitoring in children with severe brain damage.

PURPOSE: The purpose of this study is to determine whether there is a relationship between continuous electroencephalography (EEG) monitoring patterns and prognosis for children with severe brain damage. Patients and METHODS: The different patterns of EEG were analyzed for 103 children (Glasgow Coma Scale [GCS] score < 8) who were monitored with continuous video-EEG (CVEEG) within 72 hours after the onset of coma. The clinical outcomes were scored and evaluated at hospital discharge by the modified Pediatric Cerebral and Overall Performance Category Scale (PCOPCS). EEG parameters of the different prognosis groups were compared and risk factors for prognosis were identified. RESULTS: Of the 103 children, 36 were in the good prognosis group (PCOPCS scores 1 and 2) and 67 were in the poor prognosis group (PCOPCS scores 3-6). The poor prognosis group had the lower proportion of events in reactive EEG patterns and sleep architecture, and a higher proportion of low-voltage events. Multivariate analyses showed that the lower GCS score and no sleep architecture were significantly associated with poor prognosis. CONCLUSIONS: Comatose children with higher GCS score and sleep architecture have better clinical outcomes in terms of morbidity and mortality.

Semi-Supervised Medical Image Segmentation Using Cross-Style Consistency With Shape-Aware and Local Context Constraints.

Despite the remarkable progress in semi-supervised medical image segmentation methods based on deep learning, their application to real-life clinical scenarios still faces considerable challenges. For example, insufficient labeled data often makes it difficult for networks to capture the complexity and variability of the anatomical regions to be segmented. To address these problems, we design a new semi-supervised segmentation framework that aspires to produce anatomically plausible predictions. Our framework comprises two parallel networks: shape-agnostic and shape-aware networks. These networks learn from each other, enabling effective utilization of unlabeled data. Our shape-aware network implicitly introduces shape guidance to capture shape fine-grained information. Meanwhile, shape-agnostic networks employ uncertainty estimation to further obtain reliable pseudo-labels for the counterpart. We also employ a cross-style consistency strategy to enhance the network's utilization of unlabeled data. It enriches the dataset to prevent overfitting and further eases the coupling of the two networks that learn from each other. Our proposed architecture also incorporates a novel loss term that facilitates the learning of the local context of segmentation by the network, thereby enhancing the overall accuracy of prediction. Experiments on three different datasets of medical images show that our method outperforms many excellent semi-supervised segmentation methods and outperforms them in perceiving shape. The code can be seen at https://github.com/igip-liu/SLC-Net.

Design and Optimization of Self-Supporting Surfaces with Arch Beams.

The paper presents a new method for constructing self-supporting surfaces using arch beams that are designed to convert their thrust into supporting force, thereby eliminating shear stress and bending moments. Our method allows for the placement of the arch beams on the boundary or within a surface and partitions the surface into multiple self-supporting parts. The use of arch beams enhances stability and durability, adds aesthetic appeal, and allows for greater flexibility in the design process. We develop an iterative algorithm for designing selfsupporting surfaces with arch beams that enables the user to control the shape of the beams and surface through intuitive parameters and specify the desired location of the arch beams. We verify the physical stability of the structure using finite element analysis. Experimental results show that our method can produce visually pleasing self-supporting surfaces that satisfy the equilibrium equation with high accuracy.

Etiologies and clinical characteristics of acute ataxia in a single national children's medical center.

OBJECTIVE: To analyze etiologic factors of pediatric acute ataxia and to identify the severity of its underlying causes for urgent medical intervention. METHODS: Clinical data of children diagnosed with acute ataxia between December 2015 and December 2021 from one national medical center were analyzed retrospectively. RESULTS: A total of 99 children (59 boys, 40 girls), median age at disease onset 55 (range: 12-168) months, were enrolled. The median follow period was 46 (range 6-78) months. Eighty-six (86.9 %) children were diagnosed with immune-associated acute ataxia, among which acute post-infectious cerebellar ataxia (APCA) was the most common diagnosis (50.5 %), followed by demyelinating diseases of the central nervous system (18.2 %) and Guillain-Barré syndrome (9.1 %). On cerebrospinal fluid (CSF) examination, 35/73 (47.9 %) patients had pleocytosis (>5 cells/mm3), and 18/73 (24.7 %) had elevated protein levels. Thirty-one patients (31.3 %) had an abnormal cerebral MRI. Children with other immune-associated acute cerebellar ataxia had more extracerebellar symptoms, intracranial MRI lesions, abnormal CSF results, longer hospital stay, higher recurrence rates and incidence of neurological sequelae than children with APCA. CONCLUSION: Immune-associated acute ataxia is the main cause of pediatric acute ataxia, among which APCA is the most common phenotype. However, some immune-associated diseases, especially autoantibody-mediated disease, which has a higher recurrence rate and neurological sequelae account for an increasing proportion of pediatric acute ataxia. When children present with extracerebellar symptoms, abnormal cranial MRI or CSF results, and without prodromal infection, prudent differential diagnosis is recommended.

Computing Smooth and Integrable Cross Fields via Iterative Singularity Adjustment.

We propose a new method for computing smooth and integrable cross fields on 2D and 3D surfaces. We first compute smooth cross fields by minimizing the Dirichlet energy. Unlike the existing optimization based approaches, our method determines the singularity configuration, i.e., the number of singularities, their locations and indices, via iteratively adjusting singularities. The singularities can move, merge and split, as like charges repel and unlike charges attract. Once all singularities stop moving, we obtain a cross field with (locally) lowest Dirichlet energy. In simply connected domains, such a cross field is guaranteed to be integrable. However, this property does not hold in multiply connected domains. To make a smooth cross field integrable, we construct a vector field c, which characterizes how far the cross field is away from a curl-free field. Then we optimize the locations of singularities by moving them along the field lines of c. Our method is fundamentally different from the existing integer programming-based approaches, since it does not require any special numerical solver. It is fully automatic and also has a parameter to control the number of singularities. Our method is well suited for smooth models in which exact boundary alignment and sparse hard directional constraints are desired, and can guide seamless conformal parameterization and T-junction-free quadrangulation. We will make the source code publicly available.

Safety, Accuracy, and Efficacy of Robot-Assisted Stereo Electroencephalography in Children of Different Ages.

BACKGROUND AND OBJECTIVES: Aimed to investigate the safety, accuracy, and efficacy of stereo electroencephalography (SEEG) in children of various ages, with particular emphasis on those younger than 3 years. There is limited guidance regarding whether SEEG can conducted on very young children. METHODS: This retrospective study was conducted between July 2018 and August 2022. It involved 88 patients who underwent 99 robot-assisted SEEG procedures at our center. The patients were categorized into 3 groups based on their age at the time of the robot-assisted SEEG procedures: group 1 (3 years and younger, n = 28), group 2 (age 3-6 years, n = 27), and group 3 (older than 6 years, n = 44). Clinical data, SEEG demographics, complications, and seizure outcomes were analyzed. RESULTS: A total of 675 electrodes were implanted, with an average of 6.82 ± 3.47 (2.00-16.00) electrodes per patient (P = .052). The average target point error for the 675 electrodes was 1.93 ± 1.11 mm, and the average entry point error was 1.30 ± 0.97 mm (P = .536 and P = .549, respectively). The overall percentage of complications was 6.06% (P = .879). No severe or long-term neurologic impairment was observed. Of the total 99 procedures included in this study, 78 were admitted for epilepsy surgery for the first time, while 9 patients were treated twice and 1 patient was treated 3 times. There were 21 radiofrequency thermocoagulation and 78 second-stage resective procedures performed after SEEG. There was no statistically significant difference in Engel class I outcomes among the patients who underwent SEEG in the 3 age groups (P = .621). CONCLUSION: Robot-assisted SEEG were demonstrated to be safe, accurate, and efficient across different age groups of children. This technique is suitable for children younger than 3 years who have indications for SEEG placement.

Clinical analysis of developmental and/or epileptic encephalopathy with spike-and-wave activation in sleep: A single tertiary care center experience in China.

PURPOSE: To analyze the electroclinical features of patients with developmental and/or epileptic encephalopathy with spike-and-wave activation in sleep (DEE/EE-SWAS) and study the efficacy of different therapies on seizure control, electroencephalogram (EEG) improvements of electrical status epilepticus during sleep (ESES), and cognition outcomes. METHODS: Patients with DEE/EE-SWAS who underwent at least one follow-up EEG 3 months after therapy were retrospectively enrolled. The demographic and clinical characteristics of the patients were analyzed. Variables that influenced the outcomes were evaluated using logistic regression models. RESULTS: In total, 87 patients (47 males) were included. The median age at ESES recognition was 81.0 months (IQR 64.0, 96.0). Forty-six patients were diagnosed with self-limited focal epilepsies (SeLFEs) before ESES recognition, 24 with developmental and epileptic encephalopathies with spike-and-wave activation in sleep (DEE-SWAS), and 17 with other epilepsies. Steroids, benzodiazepines, and antiseizure medications (ASMs) were the initial treatment options for ESES. Patients with structural etiologies or slow EEG backgrounds at the time of ESES recognition were less likely to respond to treatment than other patients. However, only children with slow EEG backgrounds had lower odds of response in logistic regression models. Children with clinical or EEG response showed improvements in cognition. CONCLUSION: Steroids, benzodiazepines, and ASMs are effective treatments for patients with DEE/EE-SWAS. Children with structural etiologies or slow EEG backgrounds at the time of ESES recognition may have a poor long-term prognosis. The efficacy of seizure reduction and EEG improvement is associated with cognitive improvement.

Swift-Eye: Towards Anti-blink Pupil Tracking for Precise and Robust High-Frequency Near-Eye Movement Analysis with Event Cameras.

Eye tracking has shown great promise in many scientific fields and daily applications, ranging from the early detection of mental health disorders to foveated rendering in virtual reality (VR). These applications all call for a robust system for high-frequency near-eye movement sensing and analysis in high precision, which cannot be guaranteed by the existing eye tracking solutions with CCD/CMOS cameras. To bridge the gap, in this paper, we propose Swift-Eye, an offline precise and robust pupil estimation and tracking framework to support high-frequency near-eye movement analysis, especially when the pupil region is partially occluded. Swift-Eye is built upon the emerging event cameras to capture the high-speed movement of eyes in high temporal resolution. Then, a series of bespoke components are designed to generate high-quality near-eye movement video at a high frame rate over kilohertz and deal with the occlusion over the pupil caused by involuntary eye blinks. According to our extensive evaluations on EV-Eye, a large-scale public dataset for eye tracking using event cameras, Swift-Eye shows high robustness against significant occlusion. It can improve the IoU and F1-score of the pupil estimation by 20% and 12.5% respectively, compared with the second-best competing approach, when over 80% of the pupil region is occluded by the eyelid. Lastly, it provides continuous and smooth traces of pupils in extremely high temporal resolution and can support high-frequency eye movement analysis and a number of potential applications, such as mental health diagnosis, behaviour-brain association, etc. The implementation details and source codes can be found at https://github.com/ztysdu/Swift-Eye.

Brain development in newborns and infants after ECMO.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO) not only significantly improves survival rates in severely ill neonates but also is associated with long-term neurodevelopmental issues. To systematically review the available literature on the neurodevelopmental outcomes of neonates and infants who have undergone ECMO treatment, with a focus on motor deficits, cognitive impairments, sensory impairments, and developmental delays. This review aims to understand the incidence, prevalence, and risk factors for these problems and to explore current nursing care and management strategies. DATA SOURCES: A comprehensive literature search was performed across PubMed, EMBASE, and Web of Science using a wide array of keywords and phrases pertaining to ECMO, neonates, infants, and various facets of neurodevelopment. The initial screening involved reviewing titles and abstracts to exclude irrelevant articles, followed by a full-text assessment of potentially relevant literature. The quality of each study was evaluated based on its research methodology and statistical analysis. Moreover, citation searches were conducted to identify potentially overlooked studies. Although the focus was primarily on neonatal ECMO, studies involving children and adults were also included due to the limited availability of neonate-specific literature. RESULTS: About 50% of neonates post-ECMO treatment exhibit varying degrees of brain injury, particularly in the frontal and temporoparietal white matter regions, often accompanied by neurological complications. Seizures occur in 18%-23% of neonates within the first 24 hours, and bleeding events occur in 27%-60% of ECMO procedures, with up to 33% potentially experiencing ischemic strokes. Although some studies suggest that ECMO may negatively impact hearing and visual development, other studies have found no significant differences; hence, the influence of ECMO remains unclear. In terms of cognitive, language, and intellectual development, ECMO treatment may be associated with potential developmental delays, including lower composite scores in cognitive and motor functions, as well as potential language and learning difficulties. These studies emphasize the importance of early detection and intervention of potential developmental issues in ECMO survivors, possibly necessitating the implementation of a multidisciplinary follow-up plan that includes regular neuromotor and psychological evaluations. Overall, further multicenter, large-sample, long-term follow-up studies are needed to determine the impact of ECMO on these developmental aspects. CONCLUSIONS: The impact of ECMO on an infant's nervous system still requires further investigation with larger sample sizes for validation. Fine-tuned management, comprehensive nursing care, appropriate patient selection, proactive monitoring, nutritional support, and early rehabilitation may potentially contribute to improving the long-term outcomes for these infants.

A novel in-frame deletion in KIF5C gene causes infantile onset epilepsy and psychomotor retardation.

Motor proteins, encoded by Kinesin superfamily (KIF) genes, are critical for brain development and plasticity. Increasing studies reported KIF's roles in neurodevelopmental disorders. Here, a 6 years and 3 months-old Chinese boy with markedly symptomatic epilepsy, intellectual disability, brain atrophy, and psychomotor retardation was investigated. His parents and younger sister were phenotypically normal and had no disease-related family history. Whole exome sequencing identified a novel heterozygous in-frame deletion (c.265_267delTCA) in exon 3 of the KIF5C in the proband, resulting in the removal of evolutionarily highly conserved p.Ser90, located in its ATP-binding domain. Sanger sequencing excluded the proband's parents and family members from harboring this variant. The activity of ATP hydrolysis in vitro was significantly reduced as predicted. Immunofluorescence studies showed wild-type KIF5C was widely distributed throughout the cytoplasm, while mutant KIF5C was colocalized with microtubules. The live-cell imaging of the cargo-trafficking assay revealed that mutant KIF5C lost the peroxisome-transporting ability. Drosophila models also confirmed p.Ser90del's essential role in nervous system development. This study emphasized the importance of the KIF5C gene in intracellular cargo-transport as well as germline variants that lead to neurodevelopmental disorders and might enable clinicians for timely and accurate diagnosis and disease management in the future.