Objective:To validate and compare the value of the Status Epilepticus in Pediatric Severity Score (STEPSS) versus PEDSS in assessing the short-term prognosis of children with status epilepticus (SE).Methods:Clinical data of 152 children with SE hospitalized at the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were retrospectively analyzed.According to the STEPSS and PEDSS scores, children with SE were scored and their prognosis was predicted.Receiver operating characteristic (ROC) curves of the 2 scales in assessing the short-term prognosis of SE in children were plotted, and the area under the curve (AUC), optimal cut-off, sensitivity and specificity were calculated, thus validating and comparing the value of the STEPSS versus PEDSS in assessing the short-term prognosis of children with SE.Results:Of the 152 children with SE, 90 were male and 62 were female, with the age of (5.8±3.9) years (1 month to 15 years). There were 112 cases with good prognosis and 40 cases with poor prognosis, involving 13 deaths.The AUC of STEPSS and PEDSS scores in predicting the death in children with SE were 0.908(95% CI: 0.848-0.967) and 0.887(95% CI: 0.831-0.942), respectively, both with the optimal cut-off value of 4.The sensitivity of STEPSS and PEDSS scores in predicting the death in children with SE were 0.740 and 0.846, respectively, and the specificity were 0.745 and 0.835, respectively.There was no significant difference in predicting the death in children with SE between the 2 scales ( P>0.05). In predicting adverse outcomes, the AUC of the STEPSS and PEDSS scores were 0.869(95% CI: 0.800-0.937) and 0.926(95% CI: 0.873-0.979), respectively, both with the optimal cut-off value of 3.The sensitivity of STEPSS and PEDSS scores in predicting adverse outcomes in children with SE were 0.827 and 0.900, respectively, and the specificity were 0.732 and 0.866, respectively.There was significant difference in predicting the adverse outcomes in children with SE between the 2 scales ( P<0.05). Conclusions:Compared with the STEPSS, the PEDSS has a higher application in predicting the short-term treatment outcome of children with SE, which can be used as a routine method to assess the prognosis of children with SE.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.

Objective:To develop and validate a postoperative infection nomogram of hepatitis B-associated hepatocellular carcinoma (HCC) after hepatectomy.Methods:Clinical data of 229 patients with HCC undergoing hepatectomy at the Department of Hepatobiliary Surgery of Tianjin Third Central Hospital from January 2014 to December 2022 were retrospectively analyzed, including 174 males and 55 females, aged (58.2±11.4) years. LASSO regression analysis screened the factors associated with hepatitis B-associated HCC infection after hepatectomy, which were further incorporated into multivariate logistic regression analysis. A nomographic prediction model was established based on the results of multivariate logistic regression analysis. Concordance index (C-index), calibration curve and receiver operating characteristic (ROC) curve were used to evaluate the model, and decision curve analysis (DCA) was used to analyze the clinical applicability of the model. Internal validation of the model was performed using bootstrap method.Results:A total of nine variables were screened as factors associated with the postoperative infections using LASSO regression, including gender, smoking history, body mass index (BMI), serum level of alpha fetoprotein, resection fashion (anatomical or non-anatomical), intraoperative blood loss, surgical method (laparoscopy or open), serum level of creatinine, and postoperative biliary fistula. Multivariate logistic regression analysis showed that BMI, resection fashion, intraoperative blood loss >500 ml, and postoperative biliary fistula were risk factors for postoperative infection (all P<0.05). Based on the above risk factors, a postoperative infection nomogram of hepatitis B-associated HCC after hepatectomy was established. The C-index was 0.839 (95% CI: 0.768-0.910), and the area under ROC curve was 0.853 (95% CI: 0.795-0.912), indicating that the model had a good predictive ability. The calibration curve was basically consistent with the ideal curve. The DCA showed that the model had a good clinical applicability. Internal validation C-index was 0.829 (95% CI: 0.766-0.892). Conclusion:The nomogram based on BMI, surgical resection fashion, intraoperative blood loss >500 ml, and postoperative biliary fistula has a high predictive accuracy and can be used to predict postoperative infections after hepatectomy for HCC.

Objective:To analyze the clinical data and genetic characteristics of a child with CLN1 neuronal ceroid lipofuscinosis in conjunct with hereditary hyperferritinemia cataract syndrome (HHCS).Methods:A child who was admitted to the PICU of the First Affiliated Hospital of Zhengzhou University in November 2020 was selected as the study subject. Clinical data of the child was collected. Genetic testing was carried out for the child, and the result was analyzed in the light of literature review to explore the clinical and genetic characteristics to facilitate early identification.Results:The patient, a 3-year-old male, had mainly presented with visual impairment, progressive cognitive and motor regression, and epilepsy. Cranial magnetic resonance imaging revealed deepened sulci in bilateral cerebral hemispheres, and delayed myelination. The activity of palmitoyl protein thioesterase was low (8.4 nmol/g/min, reference range: 132.2 ~ 301.4 nmol/g/min), whilst serum ferritin was increased (2 417.70 ng/mL, reference range: 30 ~ 400 ng/mL). Fundoscopy has revealed retinal pigment degeneration. Whole exome sequencing revealed that he has harbored c. 280A>C and c. 124-124+ 3delG compound heterozygous variants of the PPT1 gene, which were respectively inherited from his father and mother. Neither variant has been reported previously. The child has also harbored a heterozygous c. -160A>G variant of the FTL gene, which was inherited from his father. Based on the clinical phenotype and results of genetic testing, the child was diagnosed as CLN1 and HHCS. Conclusion:The compound heterozygous variants of the PPT1 gene probably underlay the disorders in this child. For children with CLN1 and rapidly progressing visual impairment, ophthalmological examination should be recommended, and detailed family history should be taken For those suspected for HHCS, genetic testing should be performed to confirm the diagnosis.

Objective:To explore the clinical characteristics and genetic etiology for a Chinese pedigree affected with Dyschromatosis symmetrica hereditaria (DSH) in conjunct with developmental delay.Methods:A child who had presented at the First Affiliated Hospital of Zhengzhou University on May 28 2021 for abnormal skin pigmentation of the extremities and growth retardation for over 2 years was selected as the study subject. Clinical data of the child and his pedigree (11 individuals from three generations) was collected. The child was subjected to whole exome sequencing, and candidate variant was verified by Sanger sequencing.Results:The child, a two-year-and-seven-month-old male, had hyper- and hypopigmentation on his hands, feet and face, in addition with delayed development. All members of his pedigree had typical presentation of DSH. A heterozygous c. 2657G>A variant was found in exon 8 of the ADAR gene in the child, his mother, and elder sister. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was predicted as likely pathogenic (PM1+ PM2_Supporting+ PP1+ PP3). Conclusion:The c. 2657G>A variant of the ADAR gene probably underlay the DSH in this pedigree.

Objective:To investigate the effects of orlistat on the viability of human gall-bladder cancer (GBC) cells.Methods:The experimental study was conducted. The human GBC NOZ cells with high expression of FSAN was screened out through in vitro cultivating human GBC-SD, SGC-996 and NOZ cells. The cell proliferation assay, clone formation assay and protein detection experiment were used to analysis of the effects of orlistat on the viability of human GBC cells. Cell grouping: NOZ cells cultured with medium were set as the control group, cultured with medium + 10 μmol/L orlistat were set as the low-dose orlistat group, cultured with medium + 100 μmol/L orlistat were set as the high-dose orlistat group, respectively. Observation indicators: (1) expression of FASN protein in human GBC cells; (2) effects of orlistat on the proliferation of human GBC NOZ cells; (3) effects of orlistat on apoptosis of human GBC NOZ cells. Measurement data with normal distribution were represented as Mean± SD, the ANOVA test was used for comparison between groups and the least significant difference method was used for pairwise comparison. Results:(1) Expression of FASN protein in human GBC cells. Results of western blot showed that the relative expression of FASN protein in human GBC NOZ, GBC-SD and SGC-996 cells was 0.57±0.06, 0.12±0.04 and 0.10±0.02, respectively, showing a significant difference among them ( F=115.67, P<0.05). There were significant differences between the NOZ cells and the GBC-SD or the SGC-996 cells ( P<0.05), and there was no significant difference between the GBC-SD cells and the SGC-996 cells ( P>0.05). (2) Effects of orlistat on the proliferation of human GBC NOZ cells. ① Results of cell proliferation assay showed that the absorbance value of NOZ cells was 2.34±0.12, 1.57±0.08 and 1.07±0.13 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=205.88, P<0.05). ② Results of clone formation assay showed that the number of NOZ cells clones was 257±23, 153±11 and 83±11 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=92.64, P<0.05). ③Results of western blot showed that the relative expression of Cyclin-D1 protein of NOZ cells was 2.31±0.10, 1.52±0.05 and 1.23±0.11 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=120.73, P<0.05). The relative expression of CDK-4 protein of NOZ cells was 1.58±0.04, 1.21±0.02 and 1.19±0.04 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a signifi-cant difference among them ( F=110.45, P<0.05). (3) Effects of orlistat on apoptosis of human GBC NOZ cells. Results of western blot showed that the relative expression of Bcl-2 protein of NOZ cells was 1.07±0.03, 0.36±0.03 and 0.15±0.02 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a significant difference among them ( F=1 242.93, P<0.05). The relative expression of Bax protein of NOZ cells was 0.51±0.03, 0.38±0.05 and 1.38±0.04 in the control group, low-dose orlistat group and high-dose orlistat group, respectively, showing a signifi-cant difference among them ( F=583.51, P<0.05). Conclusion:Orlistat can inhibit the growth of human GBC NOZ cells and promote their apoptosis.

Objective:To understand the genome sequence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and spike protein variations during different epidemic periods in Wuxi City.Methods:Nucleic acid was extracted from the nasopharyngeal swab samples of six local cases of coronavirus disease 2019 (COVID-19) (from January to February, 2020) and 13 imported cases of COVID-19 (from March to September, 2021) in Wuxi City, and the whole genome was amplified to construct the sequencing library. The second-generation sequencer was used for sequencing. The CLC Genomics Workbench (21 version) software was used to analyze the offline data with NC_045512.2 as the reference strain, and MEGA 7.0 software was used to construct the phylogenetic tree.Identification of type was conducted by Nextstrain typing method and phylogenetic assignment of named global outbreak lineages (Pangolin) typing method.Results:There were five subtypes in Nextstrain and seven subtypes in Pangolin of the nineteen patients with COVID-19. Compared with NC_045512.2, the median nucleotide mutation sites were 29 (range 0 to 42) and amino acid mutation sites were 20 (range 0 to 34). The six local and 13 imported cases had no common nucleotide mutation sites and were in different evolutionary branches. The sequences of the six local cases were highly homologous with the reference strain sequences (NC_045512.2) at the early stage of the pandemic, and the evolutionary distance was close to that of the reference strain. The 13 imported cases were obviously divided into three evolutionary branches (Alpha, Beta, Delta variant).The four Beta variants shared eight amino acid mutation sites in spike protein, and the two Alpha variants shared eight amino acid mutation sites in spike protein, and the seven Delta variants shared five amino acid mutation sites in spike protein.Conclusions:New mutations of SARS-CoV-2 are constantly emerging during the epidemic. The increase of the nucleotide sites number may result in the change of spike protein amino acid. Therefore, the whole-genome sequencing analysis plays an important role in the accurate tracing of epidemic origin and adjustment of prevention and control measures.

COVID-19 is caused by a novel coronavirus-severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which has being spreading around the world, posing a serious threat to human health and lives. Neutralizing antibodies and small molecule inhibitors for virus replication cycle are the main antiviral treatment for novel coronavirus recommended in China. To further promote the rational use of antiviral therapy in clinical practice, the National Center for Infectious Diseases (Beijing Ditan Hospital Capital Medical University and the First Affiliated Hospital, Zhejiang University School of Medicine) invited experts in fields of infectious diseases, respiratory and intensive care to develop an Expert Consensus on Antiviral Therapy of COVID-19 based on the Diagnosis and Treatment Guideline for COVID-19 ( trial version 10) and experiences in the diagnosis and treatment of COVID-19 in China. The consensus is concise, practical and highly operable, hopefully it would improve the understanding of antiviral therapy for clinicians and provide suggestions for standardized medication in treatment of COVID-19.

At present, clinical interventions for chronic kidney disease are very limited, and most patients rely on dialysis to sustain their lives for a long time. However, studies on the gut-kidney axis have shown that the gut microbiota is a potentially effective target for correcting or controlling chronic kidney disease. This study showed that berberine, a natural drug with low oral availability, significantly ameliorated chronic kidney disease by altering the composition of the gut microbiota and inhibiting the production of gut-derived uremic toxins, including p-cresol. Furthermore, berberine reduced the content of p-cresol sulfate in plasma mainly by lowering the abundance of g_Clostridium_sensu_stricto_1 and inhibiting the tyrosine-p-cresol pathway of the intestinal flora. Meanwhile, berberine increased the butyric acid producing bacteria and the butyric acid content in feces, while decreased the renal toxic trimethylamine N-oxide. These findings suggest that berberine may be a therapeutic drug with significant potential to ameliorate chronic kidney disease through the gut-kidney axis.