Objective:To explore the clinical phenotypic features and genetic variation characteristics of children with epilepsy-aphasia spectrum due to GRIN2A gene variants confirmed by second-generation sequencing. Methods:The clinical data of 5 children with epilepsy-aphasia spectrum with epileptic onset diagnosed in the Department of Neurology, Children′s Hospital Affiliated to Zhengzhou University, from February 2019 to November 2022 were retrospectively analyzed. Whole-exome genome sequencing of the probands using a second-generation sequencing method confirmed that all 5 cases were children with the GRIN2A gene variant. The characteristics of the GRIN2A gene variants were analyzed. Results:Among the 5 children diagnosed with epileptic aphasia spectrum due to GRIN2A gene variants, the male-to-female ratio was 4∶1, and the age range of onset was 1.5-4.4 years. The clinical phenotype included seizures in all cases, language and intellectual developmental deficits in 4 cases, and attention deficit hyperactivity disorder in 3 cases. The seizures were manifested as focal seizures or secondary generalized seizures, and were effectively controlled with antiepileptic drugs. Among the 5 children, gene variant of case 1 was originated from a paternal heterozygous variant, and cases 2-5 had de novo variants, which were c.2107C>T (p.Gln703 *) nonsense variant, c.2284G>A (p.Gly762Arg) missense variant, c.2197del (p.Ala733Glnfs *3) shifted coding variant, c.2511G>A (p.Trp837 *) nonsense variant, and c.1651+1G>C shear site variant, respectively. None of the 5 loci were reported in the literature. Conclusions:Epilepsy-aphasia spectrum is an epilepsy syndrome with a complex onset, and may have different phenotypes at different genetic variant loci, with focal seizures or secondary generalized seizures, which can be effectively controlled with anti-seizure medication. The GRIN2A gene variant is the genetic etiology of the epileptic aphasia spectrum.

Objective To explore the clinical features,diagnosis and treatment of liposarcoma of spermatic cord.Methods The clinical data of 1 case with multiple recurrence of liposarcoma of spermatic cord were retrospectively analyzed,and the clinical diagnosis and treatment were discussed in combination with relevant literature.Results The patient underwent the first operation to examine the adipocytes in the right spermatic cord area.Postoperative examination revealed highly differentiated liposarcoma.Within 1 year of follow-up,radical resection of both testis and retroperitoneal tumor were performed respectively due to recurrence.Conclusion liposarcoma of spermatic cord is an extremely rare disease,and currently there is no standard treatment protocol.Radical surgical resection of localized lesions is the key,and surgical treatment is still the first choice for local recurrence.As it is unable to achieve R0 resection,the recurrence rate is very high.Since liposarcoma is not sensitive to radiotherapy and chemotherapy,more precise adjuvant therapy is highly expected.

Objective:To explore the clinical characteristics and genetic variants in three children with late-onset Multiple acyl-Coenzyme A dehydrogenase deficiency (MADD type Ⅲ).Methods:Clinical data of three children diagnosed with late-onset MADD at the Children′s Hospital Affiliated to Zhengzhou University between March 2020 and March 2022 were retrospectively analyzed. All children were subjected to whole exome sequencing (WES), and candidate variants were verified by Sanger sequencing. All children had received improved metabolic therapy and followed up for 1 ~ 3 years.Results:The children had included 2 males and 1 female, and aged from 2 months to 11 years and 7 months. Child 1 had intermittent vomiting, child 2 had weakness in lower limbs, while child 3 had no symptom except abnormal neonatal screening. Tandem mass spectrometry of the three children showed elevation of multiple acylcarnitines with short, medium and long chains. Children 1 and 2 showed increased glutaric acid and multiple dicarboxylic acids by urine Gas chromatography-mass spectrometry (GC-MS) analysis. All children were found to harbor compound heterozygous variants of the ETFDH gene, including a paternal c. 1211T>C (p.M404T) and a maternal c. 488-22T>G variant in child 1, a paternal c. 1717C>T (p.Q573X) and a maternal c. 250G>A (p.A84T) variant in child 2, and a paternal c. 1285+ 1G>A and maternal c. 629A>G (p.S210N) variant in child 3. As for the treatment, high-dose vitamin B2, levocarnitine and coenzyme Q 10 were given to improve the metabolism, in addition with a low fat, hypoproteinic and high carbohydrate diet. All children showed a stable condition with normal growth and development during the follow-up. Conclusion:The compound heterozygous variants of the ETFDH gene probably underlay the muscle weakness, remittent vomiting, elevated short, medium, and long chain acylcarnitine, as well as elevated glutaric acid and various dicarboxylic acids in the three children with type Ⅲ MADD.

Objective:To explore the clinical and genetic characteristics of three children with Leguis syndrome.Methods:Three children suspected as Legius syndrome at the Henan Children′s Hospital for precocious puberty or short stature from June 6, 2019 to August 25, 2022 were selected as the study subjects. Clinical data of the children were collected. All children were subjected to whole exome sequencing, and candidate variants were verified by Sanger sequencing.Results:All of the children (including 2 females and 1 male, and aged 4 years and 6 months, 8 years, and 14 years and 8 months, respectively) had typical café de lait spots. Child 1 also had precocious puberty, and children 2 and 3 had short statures. Genetic testing revealed that all of them had harbored heterozygous variants of the SPRED1 gene, including c. 751C>T (p.Arg251Ter194) in child 1, c. 229A>T (p.Lys77Ter368) in child 2, and c. 1044_1046delinsC (p.R349fs *11) in child 3. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the c. 751C>T (p.Arg251Ter194) variant was predicted to be likely pathogenic, whilst the other two were known pathogenic variants. Conclusion:All of the three children were diagnosed with Leguis syndrome due to variants of the SPRED1 gene, which had manifested as multiple café de lait spots in conjunct with precocious puberty or short statures.

Objective:To clarify the genetic diagnosis of two children with ring chromosome 18 and explore their mechanisms and clinical phenotypes.Methods:Two patients treated at the Children′s Hospital of Henan Province respectively in June 2022 and March 2023 were selected as the study subjects. Genetic testing and diagnosis were carried out through copy number variation sequencing (CNV-seq), G-banded chromosomal karyotyping, and whole exome sequencing (WES). This study was approved by the Children′s Hospital of Henan Province (Ethics No. 2023-K-075).Results:Child 1 had mainly manifested developmental delay, white matter hypoplasia, type 1 diabetes mellitus, and micropenis. He was found to have a chromosomal karyotype of 46, XY, r(18)(p11.21q22.1)[40]/46, XY[7], and CNV-seq results showed that he has a 14.86 Mb deletion at 18p11.21p11.32 and a 14.02 Mb deletion at 18q22.1q23. Child 2 had peculiar facial features, delayed white matter myelination, developmental delay, atrial septal defect, severe sensorineural deafness, and congenital laryngeal stridor. He was found to have a chromosomal karyotype of 46, XY, r(18)(p11.2q23). CNV-seq result proved that he had a 14.86 Mb deletion at 18p11.21p11.32 and a 20.74 Mb deletion at 18q21.32q23. WES has failed to detect single nucleotide variants (SNVs) in either child, but revealed a large segmental deletion at chromosome 18 in both of them.Conclusion:Both children were diagnosed with ring chromosome 18 syndrome. The different size of the deletional fragments in the 18q region and mosaicism of ring chromosome 18 in child 1 may underlay the variation in their clinical phenotypes. The type 1 diabetes mellitus and micropenis noted in both children are novel features for ring chromosome 18 syndrome.

Objective:To develop and validate an artificial intelligence (AI) diagnostic model for coronary artery disease based on facial photos.Methods:This study was a cross-sectional study. Patients who were scheduled to undergo coronary angiography (CAG) at Beijing Anzhen Hospital and Beijing Daxing Hospital from August 2022 to November 2023 were included consecutively. Before CAG, facial photos were collected (including four angles: frontal view, left and right 60° profile, and top of the head). Photo datasets were randomly divided into a training set, a validation set (70%), and a testing set (30%). The model was constructed using Masked Autoencoder (MAE) and Vision Transformer (ViT) architectures. Firstly, the model base was pre-training using 2 million facial photos obtained from the publicly available VGGFace dataset, and fine-tuned by the training and validation sets; the model was validated in the test set. In addition, the ResNet architecture was used to process the dataset, and its outputs were compared with those of the models based on MAE and ViT. In the test set, the area under the operating characteristic curve ( AUC) of the AI model was calculated using CAG results as the gold standard. Results:A total of 5 974 participants aged 61 (54, 67) years were included, including 4 179 males (70.0%), with a total of 84 964 facial photos. There were 79 140 facial photos in the training and validation sets, with 3 822 patients with coronary artery disease; there were 5 824 facial photos in the test set, with 239 patients with coronary artery disease. The AUC value of the MAE and ViT model initialized with pre-training model weights was 0.841 and 0.824, respectively. The AUC of the ResNet model initialized with random weights was 0.810, while the AUC of the ResNet model initialized with pre-training model weights was 0.816. Conclusion:The AI model based on facial photos showes good diagnostic performance for coronary artery disease and holds promise for further application in early diagnosis.

Objective:To investigate the impact of the deep-learning-based CT fractional flow reserve (CT-FFR) on clinical decision-making and long-term prognosis in patients with obstructive coronary heart disease.Methods:In this single-center retrospective cohort study, consecutive patients with obstructive coronary heart disease (with at least one stenosis≥50%) on their first coronary computed tomography angiography (CCTA) in Beijing Anzhen Hospital from February 2017 to July 2018 were included. Baseline clinical and CT characteristics were collected. Deep-learning-based CT-FFR and Leiden CCTA risk score were calculated. All patients enrolled were followed up for at least 5 years. The study endpoint was major adverse cardiovascular events (MACE), defined as the composite of cardiac death, nonfatal myocardial infarction, unstable angina requiring hospitalization, and unplanned revascularization. Receiver operating characteristic (ROC) curves were drawn to define the optimal cut-off point of the Leiden score in predicting the 5-year MACE, and survival analysis and Cox regression were performed to explore the related factors of MACE.Results:A total of 622 patients, aged 61 (54, 66) years, with 407 (65.4%) males were included. Diagnostic coronary angiography was performed in 78 patients after their baseline CCTA, with 34 (43.6%) patients had CT-FFR>0.80. During a follow-up time of 2 181 (2 093, 2 355) days, 155 patients (24.9%) suffered from MACE. ROC derived optimal cut-off point of Leiden score for predicting MACE was 15.48. Survival analysis found that male patients, Leiden risk score>15 and CT-FFR≤0.80 had worse prognosis. Multivariate Cox regression analysis identified CT-FFR≤0.80 as an robust and independent predictor of MACE ( HR=4.98, 95% CI 3.15-7.86, P<0.001). Conclusion:Deep-learning-based CT-FFR aids in clinical decision-making and the evaluation of long-term prognosis in patients with obstructive coronary heart disease.

Objective:To investigate the value of fibrinogen to albumin ratio (FAR), creatinine to albumin ratio (CAR) and platelet to lymphocyte ratio (PLR) in predicting the poor prognosis of hyperlipidemic acute pancreatitis (HLAP).Methods:Clinical data of HLAP patients admitted to the hospital from January 2021 to January and December 2023 were retrospectively collected. According to the prognosis, the patients were divided into two groups: good prognosis group and poor prognosis group.The independent risk factors of HLAP in different prognostic groups were obtained by multivariate Logistic regression analysis. Receiver operating characteristic (ROC) curves were plotted to evaluate the prognostic value of FAR, CAR and PLR alone and in combination.Results:A total of 118 patients with HLAP were included, including 69 patients with good prognosis and 49 patients with poor prognosis.The difference of heart rate, lymphocyte, triglyceride, albumin, creatinine, urea nitrogen, blood calcium, blood glucose, C-reactive protein, procalcitonin, fibrinogen, FAR, CAR, PLR, Bedside indicator of acute pancreatitis Severity score, Acute Physiology and Chronic Health status score, hospitalization time assessment between the two groups was statistically significant ( P<0.05). Multivariate Logistic regression analysis showed that FAR (odds ratio ( OR) = 25.949, 95% confidence interval (95% CI):3.190 ~ 211.080, P = 0.002), CAR ( OR = 1.453, 95% CI:1.095 ~ 1.928, P = 0.010) and PLR ( OR = 1.005, 95% CI: 1.001 ~ 1.009, P = 0.020) were independent risk factors for poor prognosis in HLAP patients. ROC curve analysis showed that the area under the ROC curve (AUC) of FAR, CAR and PLR to predict poor prognosis of HLAP patients were 0.823, 0.781 and 0.652, respectively.The AUC of FAR combined with CAR, FAR combined with PLR and CAR combined with PLR were 0.840, 0.845 and 0.849, respectively.The combined ability of FAR, CAR and PLR to predict poor prognosis in HLAP patients was (AUC=0.875,95% CI:0.814 ~ 0.937). When the cut-off value was 0.387, the sensitivity was 83.7%, and the specificity was 79.7%. Conclusions:The prognostic value of FAR, CAR and PLR in HLAP patients is better than that of single or pairwise combination.

Objective:To investigate the correlation between clinical phenotypes and genetic characteristics of children with ring chromosomes (RCs).Methods:Case series study.The clinical data of 11 434 children who received treatment and peripheral blood chromosome karyotype detection in Henan Children′s Hospital from October 2008 to October 2023 due to growth retardation, intellectual impairment or congenital malformation were analyzed retrospectively.A total of 25 children with RCs were selected.Their age at diagnosis, karyotype distribution, clinical manifestations, and genetic detection results were analyzed.Results:RCs were detected in 25 out of 11 434 children, with a detection rate of 0.21%.The genome-wide copy number variation (CNV) analysis was performed on 7 RCs cases, and it found that pathogenic variation existed in all of them.Among the 25 RC cases (11 males and 14 females of social gender), the age at diagnosis ranged from 2 months to 14 years; there were 20 autosomal rings and 5 sex chromosome rings; 13 cases had chimeric karyotypes, and 12 cases had non-chimeric karyotypes.Most of the 25 children showed clinical manifestations of mental or developmental retardation, and some also presented with specific clinical manifestations, such as short stature, congenital malformation, and epilepsy.Conclusions:The pathogenesis of RCs is complex.The clinical manifestations are determined by both RCs syndrome and specific phenotypes caused by the dose effect and exhibit high heterogeneity, so it is easy to miss or misdiagnose.The combined application of cellular and molecular genetic detection technology can facilitate early diagnosis and treatment of RCs, and the correlation analysis of phenotypes and genetic characteristics can provide guidance for genetic counseling.

This review systematically polled the latest advancements in biomechanics research in competitive swimming during the Paris Olympic period together.By analyzing the application of biomechanics in competitive swimming,it reveals the key factors in performance improvement and injury prevention,mainly encompassing technique analysis and optimization,research method and equipment,performance evaluation and enhancement,and injury prevention and rehabilitation.Research related to biomechanics in competitive swimming for the Paris Olympic period highlights the significant role of biomechanics in optimizing swimming techniques,assessing athletic performance,and preventing injuries.Particularly,the advancement of sophisticated data collection and analysis equipment,such as high-precision sensors,artificial intelligence,and deep learning technologies,has made the analysis of swimming techniques more comprehensive and precise.Future research should further integrate multi-dimensional data technologies,employing high-precision motion capture,fluid mechanics measurement,and intelligent analysis to delve deeper into the pathways for optimizing swimming techniques.