ObjectiveTo understand the epidemiological distribution and gene evolutionary variation of influenza A (H3N2) viruses in Fengxian District, Shanghai, in the surveillance year of 2023, and to provide a reference basis for influenza prevention and control. MethodsThe prevalence of influenza virus in Fengxian District in the 2023 influenza surveillance year (April 2023‒March 2024) was analyzed. The hemagglutinin (HA) gene, neuraminidase (NA) gene, and amino acid sequences of 75 strains of H3N2 influenza viruses were compared with the vaccine reference strain for similarity matching and phylogenetic evolutionary analysis, in addition to an analysis of gene characterization and variation. ResultsIn Fengxian District, there was a mixed epidemic of H3N2 and H1N1 in the spring of 2023, with H3N2 being the predominant subtype in the second half of the year, and Victoria B becoming the predominant subtype in the spring of 2024. A total of 75 influenza strains of H3N2 with HA and NA genes were distributed in the 3C.2a1b.2a.2a.2a.3a.1 and B.4 branches, with overall similarity to the reference strain of the 2024 vaccine higher than that of the reference strain of the 2022 and 2023 vaccine. Compared with the 2023 vaccine reference strain, three antigenic sites and one receptor binding site were changed in HA, with three glycosylation sites reduced and two glycosylation sites added; where as in NA seven antigenic sites and the 222nd resistance site changed with two glycosylation sites reduced. ConclusionThe risk of antigenic variation and drug resistance of H3N2 in this region is high, and it is necessary to strengthen the publicity and education on the 2024 influenza vaccine and long-term monitoring of influenza virus prevalence and variation levels.

Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Objective Low-density lipoprotein cholesterol(LDL-C)is causally associated with atherosclerotic cardiovascular disease(ASCVD).Proprotein convertase subtilisin/kexin type 9(PCSK9)increases the degradation of low-density lipoprotein receptor(LDL-R),thereby promoting lipid accumulation.This study investigated the mechanism of microRNA(miRNA)-125a-5p in regulating PCSK9 transcriptional expression and lipid accumulation through histone deacetylase sirtuin 6(SIRT6)-mediated histone acetylation.Methods RAW264.7 macrophages exposed to oxidized low-density lipoprotein(ox-LDL)were used to establish a macrophage lipid accumulation model.The cells were divided into eight groups:control group(Group A),ox-LDL group(Group B),SIRT6 agonist group(Group C),si-SIRT6 group(Group D),miR-125a-5p mimic group(Group E),miR-125a-5p mimic negative control group(Group F),miR-125a-5p inhibitor group(Group G),and miR-125a-5p inhibitor negative control group(Group H).Oil red O staining was used to verify lipid ac-cumulation in macrophages.Real-time fluorescent quantitative polymerase chain reaction(PCR)was employed to detect the gene expression levels of miR-125a-5p,SIRT6 and PCSK9.Western blotting was used to detect the protein expression levels of SIRT6,histone 3 lysine 9 acetylation(H3K9ac),histone 3(H3),and PCSK9.An LDL-C kit was used to measure cellular LDL-C con-tent.Results Compared with Group A,Group B exhibited increased relative gene expression of miR-125a-5p,decreased relative SIRT6 gene and its protein expression,increased H3K9ac/H3 rati-o,increased relative gene and protein expression of PCSK9,and elevated LDL-C levels,with statis-tically significant differences(P＜0.01).In Group B,a positive correlation was observed between H3K9ac and PCSK9 protein expression(r=0.935 0,P＜0.01),as well as between PCSK9 and LDL-C(r=0.981 3,P＜0.01).Compared with Group B,Group C showed no significant change in miR-125a-5p expression(P＞0.05),but increased relative SIRT6 gene and its protein expres-sion,decreased H3K9ac/H3 ratio,decreased relative gene and protein expression of PCSK9,and reduced LDL-C levels(P＜0.01).In contrast,Group D,compared with Group B,had no signifi-cant change in miR-125a-5p gene expression(P＞0.05),but decreased relative gene and protein expression of SIRT6,increased H3K9ac/H3 ratio,increased relative PCSK9 gene and its protein expression,and elevated LDL-C levels(P＜0.05 or P＜0.01).Group E,compared with Group B,showed increased relative gene expression of miR-125a-5p,decreased relative SIRT6 gene and its protein expression,increased H3K9ac/H3,increased relative PCSK9 gene and its protein ex-pression,and elevated LDL-C levels(P＜0.01).Group G,compared with Group B,had de-creased relative gene expression of miR-125a-5p,increased relative gene and protein expression of SIRT6,decreased H3K9ac/H3 ratio,decreased relative PCSK9 gene and protein expression,and reduced LDL-C levels(P＜0.01).No significant changes were observed in miR-125a-5p,SIRT6,H3K9ac/H3 ratio,PCSK9,or LDL-C levels in Groups F and H compared with Group B(P＞0.05).Conclusion Epigenetics is an important regulatory mechanism in the development of ather-osclerosis(AS).Elevated LDL-C is a significant risk factor for AS,and increased PCSK9 expres-sion exacerbates lipid accumulation.Imbalance in histone acetylation is a novel mechanism involved in PCSK9-mediated lipid accumulation,potentially serving as an early detection marker for lipid me-tabolism disorders.SIRT6 acts as a protective factor by reversibly regulating PCSK9 transcriptional expression,reducing lipid accumulation,and delaying AS progression.MiR-125a-5p,as an up-stream regulatory gene of SIRT6,targets and inhibits SIRT6 transcription,thereby modulating his-tone acetylation,and may serve as a new target for early screening and prevention of dyslipidemia.

ObjectiveTo analyze the surveillance status of acute respiratory tract infection pathogens in Fengxian District of Shanghai, and to determine the pathogen spectrum and epidemiological characteristics of acute respiratory tract infection in the district. MethodsCase surveillance data from Fengxian Central Hospital were collected through the Shanghai Integrated Surveillance System for Acute Respiratory Infections, and respiratory specimens were collected from the 50^th week of 2022 to the 49^th week of 2023 for nucleic acid detection of 25 pathogens and bacterial culture testing. Case surveillance data from Fengxian Central Hospital were collected through the National Influenza Sentinel Surveillance System, and respiratory specimens were collected for nucleic acid detection of 5 pathogens. ResultsThe percentage seeking for medical visits of influenza-like illness (ILI) and severe acute respiratory infection (SARI) were 4.74% and 0.81%, respectively, with epidemic peaks in winter and spring. A total of 1 610 samples were detected, among which 354 were SARI cases, whose age of P₂₅ and P₇₅ quartiles were 44 years and 71 years, respectively, with a positive detection rate of 48.31%. Among the 1 256 ILI cases, the age of P₂₅ and P₇₅ quartiles were 21 years and 39 years, respectively. The positive detection rate of pathogens was 65.04% in 123 ILI cases under comprehensive surveillance of respiratory tract infection and 66.11% in 1 133 ILI cases under influenza surveillance. The positive rates of influenza andSARS-CoV-2 in SARI samples were 12.99% and 29.66%, respectively. The positive rates of influenza and SARS-CoV-2 in ILI case samples were 33.20% and 31.53%, respectively. Influenza virus concentrated in the winter and spring. The ILI and SARI cases had the highest positivity rates in the 6‒14 years old group and 15‒24 years old group, respectively. ConclusionThe main pathogens of respiratory tract infection in Fengxian District of Shanghai were SARS-CoV-2 and influenza virus. Special efforts should be made to monitor respiratory disease pathogens in the population under 24 years old, and surveillance of SARI cases aged ≥60 years should be strengthened. The influenza virus and SARS-CoV-2 are alternating, which is different from the past and requires a change in the previous prevention and control strategies.

Objective:To explore effect of Glioma-associated oncogene family zinc finger 1(GLI1)on hypoxia induced trans-formation of NR8383 to M1 phenotype and development of pulmonary hypertension(PH).Methods:Fifteen adult male Wistar rats were randomly divided into control group,hypoxia PH model group and hypoxic PH with GANT61 treatment group,with 5 rats in each group.PH related indexes of rats were detected by small animal ultrasound and right cardiac catheter experiment to determine effect of GLI1 specific inhibitor GANT61 on progression of PH.Pulmonary arterial thickness was measured by HE staining.α-SMA and M1 polarization markers TNF-α and IL-1β expressions were determined by immunohistochemistry.M1 polarization markers CD86 and TNF-α expressions were determined by immunofluorescence.GLI1 expression and NF-κB protein were detected by Western blot.mRNA expressions of iNOS,CD86,TNF-α,IL-1β and IL-12 were detected by qRT-PCR.CHIP-PCR verified that GLI1 regulates NF-κB promoter activity.IL-12 content was detected by ELISA.Rat pulmonary artery smooth muscle cells proliferation was detected by CCK-8.Results:GLI1 inhibitor GANT61 could alleviate symptoms of PH in hypoxic rats(P<0.05).Compared with hypoxic group,inhibition of GLI1 reduced expressions of TNF-α and IL-1β in rat lung tissue(P<0.05).In cell experiments,hypoxia induced M1 polarization of NR8383 by up-regulating GLI1 to activate NF-κB pathway,GLI1 overexpression increased expressions of iNOS,CD86,TNF-α,IL-1β and IL-12 in M1 macrophages(P<0.05).NR8383 culture supernatants could stimulate pulmonary artery smooth muscle cell proliferation(P<0.05)and contribute to development of PH.Conclusion:Hypoxia activates NF-κB pathway by up-regulating GLI1 to induce M1 polarization of macrophages contributes to development of PH.

Objective:To evaluate the effect of ultrasound-guided adductor canal block with bupivacaine liposome on analgesia in elderly patients undergoing total knee arthroplasty.Methods:This was a prospective study. Sixty American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ patients, regardless of gender, aged 65-83 yr, weighing 50-80 kg, scheduled for elective unilateral total knee arthroplasty under subarachnoid anesthesia from April 2023 to January 2024 in Zhengzhou Orthopaedic Hospital, were divided into 2 groups ( n=30 each) using a random number table method: bupivacaine liposome group (LB group) and ropivacaine group (R group). Ultrasound-guided adductor canal block was performed at 30 min before subarachnoid anesthesia, bupivacaine liposome diluent 20 ml (133 mg) was injected in LB group, and 0.5% ropivacaine 20 ml was injected in R group. Patient-controlled intravenous analgesia was performed after operation, and tramadol was used for rescue analgesia when the visual analogue scale (VAS) score ≥3. VAS scores at rest and during activity were recorded at 8, 12, 24, 48 and 72 h after surgery. The time to the first pressing analgesia pump and rescue analgesia were recorded within 72 h after surgery. The quadriceps muscle strength was measured at 1 day before surgery and 12, 24, 48 and 72 h after surgery. The knee joint range of motion was assessed at 1 day before surgery and 24, 48 and 72 h after surgery. Patient′s satisfaction with analgesia was recorded at 72 h after surgery. The adverse reactions within 72 h after surgery were also recorded. Results:Compared with R group, VAS scores at rest and during activity were significantly decreased at 12, 24, 48 and 72 h after surgery, the time to the first pressing analgesia pump was prolonged, the rate of rescue analgesia after surgery was decreased, the score for the patient′s satisfaction with analgesia was increased, the knee joint range of motion was increased ( P<0.05), and no significant change was found in the quadriceps muscle strength and incidence of adverse reactions in LB group ( P>0.05). Conclusions:Ultrasound-guided adductor canal block with bupivacaine liposome provides better analgesia than ropivacaine in elderly patients undergoing total knee arthroplasty.

Objective:To investigate the clinical and genetic features of the patient with neurodevelopmental disorders characterized by thickened corpus callosum caused by MAST1 gene mutation. Methods:Clinical data and auxiliary examination of a child with neurodevelopmental disorders caused by MAST1 gene mutation who was admitted to Henan Children′s Hospital in September 2022 were collected, and whole exome sequencing technology was applied to analyze the genetics of the child. Results:The patient was a 2 years and 8 months old male, with a clinical phenotype including intellectual, motor, and speech development disorders. Brain magnetic resonance imaging (MRI) showed thickened corpus callosum, nodular heterotopia of the left ventricle body.Whole exome sequencing showed the MAST1 gene with c.578T>G(p.Met193Arg) heterozygous missense variant, which was a unreported de novo pathogenic variant and both of his parents were wild-type. Conclusions:Diseases caused by MAST1 gene mutations are relatively rare, the main clinical features are neurodevelopmental disorders and brain structural abnormalities, and MRI shows an enlarged corpus callosum.The heterozygous missense variant c.578T>G(p.Met193Arg) of the MAST1 gene is the genetic cause of this case.

【Objective】 To explore the effects of status of lymph vascular invasion (LVI) on the survival of patients with squamous cell carcinoma of the penis (SCCP). 【Methods】 Data of patients diagnosed as SCCP during Jan.1, 2010 and Dec.31, 2019 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Kaplan-Meier method was used to draw the survival curve of patients with different LVI statuses, and log-rank test was conducted in parallel. Univariate and multivariate Cox regression analyses were used to assess the effects of LVI status on the overall survival. Patients were divided into different subgroups based on stage (localized, regional, and distant metastasis) and grade (well, moderately and poorly differentiated) of tumor, and the effects of LVI status on the overall survival of patients in different subgroups were assessed. 【Results】 A total of 1 435 patients were involved, including 1 102 (76.8%) without LVI and 333 (23.2%) with LVI. Median survival time of patients without LVI and with LVI were 27.5 months and 17.0 months, respectively (χ²=55.028, P<0.001). Cox regression analyses showed LVI was a significant prognostic factor in SCCP patients (HR=1.280, 95%CI:1.044-1.569, P=0.018). In the subgroup analysis, LVI was an independent risk factor affecting the overall survival of patients with localized tumor (HR=1.446, 95%CI:1.009-2.110, P=0.046) and regional tumor (HR=1.323, 95%CI:1.018-1.720, P=0.036);it was also an independent risk factor affecting the overall survival of SCCP patients with well differentiated tumor (HR=2.797, 95%CI:1.573-4.971, P=0.046) and moderately differentiated tumor (HR=1.431, 95%CI:1.071-1.914, P=0.015). 【Conclusion】 LVI status is a significant factor affecting the prognosis of SCCP patients. LVI is an independent risk factor for the overall survival of SCCP patients with localized and regional tumor, moderately differentiated and well differentiated tumor.

Humans ; East Asian People ; Surveys and Questionnaires ; Vitiligo/epidemiology*