This study analyzed the variations and evolution characteristics of influenza B Victoria(BV)virus in the Yellow River Delta region of China during 2021-2024.Throat swabs were collected from people with influenza-like illness(ILI)from 2021 to 2024 in Binzhou and Dongying,China.Viral isolation was performed,and 22 representative influenza BV isolates were selected for whole genome sequencing.Phylogenetic analysis of whole-genome sequences was performed in MegAlign and MEGA software.A total of 27 674 samples were obtained,and the overall positivity rate of influenza virus(A/H3N2,A/H1N1,BV)was 11.1％.Our surveillance data indicated that influenza B virus was detected in 2 years,which showed positivity rates of 28.2％and 1.7％,respectively.Statistically significant differences in the positivity rates of influenza BV viruses were observed(x2=3 641.791,P＜0.001).The median pairwise sequence identities ranged from 98.7％to 99.3％for eight segments of 22 viral sequences.The isolates for the monitoring years 2021-2024 were located in clades V1A.3a.1 and V1A.3a.2.Intra-lineage reassortments were discovered in B/shandongbincheng17/2022.The NA gene of one isolate exhibited an increase in the 488NLTV N-glycoproteome site.The K338R mutation occurred in the PA gene.Three locus deletion or insertion mutations occurred in the MP gene.The BV influenza epidemic was prevalent every other year;the intensity ranged from strong to weak;and the duration ranged from long to short in the Yellow River Delta region of China during 2021-2022.Influ-enza B virus formed intra-lineage reassortments,and showed significant mutations in NA gene,PA gene,and MP gene.

Streptococcus equinus is a zoonotic disease that can cause illness in various animals under specific environmental condi-tions.No reports have described isolation of this bacterium from the liver in affected sheep.This study successfully isolated and identi-fied a strain of Streptococcus equinus through bacterial isolation and culture,Gram staining,drug sensitivity testing,mouse sensitivity testing,bacterial biochemical testing,and whole genome sequencing.The strain was found to have pathogenicity toward Kunming white mice,and to be sensitive to four antibiotics(penicillin,ampicillin,ceftiofur sodium,and ceftriaxone sodium)but resistant to four antibiotics(streptomycin,amoxicillin,tetracycline,and gentamicin).On the basis of drug sensitivity testing,targeted treatment of the affected sheep flock with ceftiofur sodium effectively controlled the disease within 2 days,and no new cases occurred.This study provides a reference for biological characterization of ovine Streptococcus equinus;public health;and the investigation of disease pre-vention,control,and epidemiology.

Objective:To analyze clinical characteristics and prognosis of B-cell acute lymphoblastic leukemia(B-ALL)patients with IKZF1 deletion.Methods:72 patients with B-ALL admitted to our hospital from April 2020 to January 2023 were selected,IKZF1 deletion were detected,and clinical characteristics and prognosis were analyzed.Results:Among the 72 patients,a total of 32 patients(44.4％)were identified with IKZF1 deletions(IKZF1+).There was no statistically significant difference in basic clinical data between patients with normal IKZF1(IKZF1-)and those with IKZF1+(P＞0.05).The proportion of patients with IKZF1+in Ph+group was significantly higher than that in Ph-group(P＜0.05).The main types of IKZF1+were exon 1-8 deletion(34.4％)and exon 4-7 deletion(31.2％).The median OS and PFS of IKZF1-patients were significantly longer than those of IKZF1+patients(OS:26.0 months vs 16.0 months,x2=23.094,P＜0.05;PFS:26.0 months vs 16.0 months,x2=11.150,P＜0.05).Among IKZF1+patients,the median OS of patients who received allogeneic hematopoietic stem cell transplantation(allo-HSCT)was significantly longer than that of patients who did not receive allo-HSCT(no reached vs 15.0 months,x2=5.685,P＜0.05).Conclusion:IKZF1 deletion is a risk factor affecting the prognosis of B-ALL patients.

Objective To investigate influencing factors of textbook outcome(TO)in patients with pancreatic ductal adenocarcinoma undergoing minimally invasive pancreaticoduodenectomy(MIPD).Methods A retrospective analysis was conducted on the clinical data of 101 cases of pancreatic ductal adenocarcinoma treated with MIPD in our hospital from January 2020 to December 2022.According to the inclusion and exclusion criteria,89 cases were ultimately included in this study,of which 61 cases reached TO(TO group)and 28 cases did not reach TO(non-TO group).Variables with P<0.05 in univariate analysis were included in multivariate logistic regression analysis to identify independent prognostic factors of TO.Results Univariate analysis showed that there were significant differences in pancreatic duct dilation>3 mm,preoperative neutrophil lymphocyte ratio(NLR),extended hospital stay,postoperative hospitalstay,and drain fluid amylase(DFA)>1100 U/L at1-3 d aftersurgery(P<0.05).Multivariate logistic regression analysis showed that the independent prognostic factors affecting TO were:pancreatic duct dilation>3 mm(OR=7.290,95%CI:1.485-35.786,P=0.014),postoperative hospital stay(OR=0.862,95%CI:0.751-0.989,P=0.034),and the DFA on the first postoperative day>1100 U/L(OR=0.052,95%CI:0.005-0.545,P=0.014).Conclusions The outcome of TO in patients after MIPD is not related to the surgical approach(robot assisted minimally invasive pancreaticoduodenectomy or laparoscopic pancreaticoduodenectomy).Pancreatic duct dilation>3 mm,postoperative hospital stay,and DFA on the first postoperative day>1100 U/L are independent prognostic factors of TO after MIPD in patients with pancreatic ductal adenocarcinoma.

Objective:To analyze the frailty status and its influencing factors among middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province.Methods:A cross-sectional study was conducted using a multi-stage random cluster sampling method in the settlements of the Zhiguo ethnic groups in Yunnan Province from July to December in 2022. The study enrolled a total of 1 036 middle-aged and elderly individuals aged 45 years and above. Data on general characteristics (including chronic disease prevalence, sleep quality, smoking and alcohol consumption) and frailty status were collected in the subjects. A total of 1 050 questionnaires were distributed, 1 040 questionnaires returned with 1 036 valid responses (98.7%). Logistic regression analysis was performed to identify factors influencing frailty status among different Zhiguo ethnic groups.Results:Among the 1 036 middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province, there were 482 males and 554 females, with a frailty rate of 26.25% (272/1 036), the Bulang ethnic group had the highest frailty rate (35.56%) and the Jinuo ethnic group showed the lowest (18.49%). Being aged≥60 years ( OR=1.647, 95% CI: 1.177-2.303), having≥2 chronic diseases ( OR=2.183, 95% CI: 1.470-3.245), and suffering from sleep disorders ( OR=2.468, 95% CI: 1.786-3.411) were positively associated with frailty occurrence, whereas having high social support ( OR=0.614, 95% CI: 0.434-0.867) was inversely associated with the risk of frailty (all P<0.05). Ethnic subgroup analyses revealed that suffering from sleep disorders were a common influencing factor for frailty across all Zhiguo ethnic groups (all P<0.05). In the Jinuo ethnic group, having≥2 chronic diseases showed a positive association with frailty ( OR=3.387, 95% CI: 1.054-10.879) ( P<0.05). In the Bulang subgroup, having≥2 chronic diseases ( OR=3.951, 95% CI: 1.201-12.995) and aged ≥60 years ( OR=3.415, 95% CI: 1.347-8.657) were both positively associated with frailty, while having high social support ( OR=0.185, 95% CI: 0.065-0.527) was inversely associated with the risk of frailty (all P<0.05). Conclusion:The frailty rate in middle-aged and elderly individuals among Zhiguo ethnic groups in Yunnan Province is notably high, and sleep quality, social support, and chronic conditions are its main influencing factors.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective:To predict very early recurrence after radical resection in patients with pancreatic head cancer by combining preoperative enhanced CT imaging findings and clinicopathological features.Methods:The clinicopathological and preoperative enhanced CT imaging features of 241 patients who underwent radical pancreaticoduodenectomy at Peking University Third Hospital from Jan 2010 to Dec 2022 were retrospectively collected and analyzed.Results:Using recurrence within 3 months after surgery as the definition for very early recurrence, 49 out of 241 patients experienced very early recurrence. Multivariate analysis showed that preoperative BMI<18.5 kg/m2( P=0.040), rim enhancement( P=0.028), lymphovascular invasion( P<0.001), and poor tumor differentiation ( P=0.013) were independent risk factors for very early recurrence. Conclusion:Enhanced CT imaging features combined with clinicopathological characteristics can predict very early recurrence after resection of pancreatic head cancer.

Objective:To explore the relationship between urinary cadmium levels and thyroid hormone levels in people aged 40-89 years old in selected areas of China.Methods:Based on the "Investigation of the Impact of Soil Quality of Agricultural Land on Human Health in Typical Areas" project from October 2019 to August 2020, a multi-stage stratified random sampling method was used to include 6 588 middle-aged and older adults aged 40-89. Demographic characteristics, dietary frequency and disease status were collected through the questionnaire and physical examination. Urinary cadmium and urinary creatinine were detected by random midstream urine. Fasting venous blood was collected for the detection of Triiodothyronine (T3) and Thyroxine (T4). The linear mixed effects model was used to explore the association of urine cadmium levels with thyroid hormone levels. Its dose-response relationship was explored by using the restricted cubic spline.Results:The age of the subjects was (63.48±12.18) years, with males accounting for 51.28%. The M ( Q 1,Q 3) of urinary cadmium level, T3 and T4 was 2.48 (1.36, 4.42) μg/g·creatinine, (1.96±0.51) nmol/L and (113.75±29.11) nmol/L, respectively. The linear mixed effects model showed that the changes of T3 and T4 were 0.027 (0.009, 0.044) nmol/L and 2.019 (1.084, 2.953) nmol/L for each one-unit increase (natural logarithm transformed) of urinary cadmium. The restricted cubic spline showed that there was a positive nonlinear association between urinary cadmium and T3 as well as T4 (all Pnonlinear<0.05). Conclusion:In selected areas of China, the urinary cadmium level of middle-aged and older adults aged 40-89 years is positively associated with T3 and T4.

Jiuwei Xifeng Granules have become a Chinese patent medicine in the market. Because the formula contains Os Draconis, a top-level protected fossil of ancient organisms, the formula was to be improved by replacing Os Draconis with Ostreae Concha. To evaluate whether the improved formula has the same effectiveness and safety as the original formula, a randomized, double-blind, parallel-controlled, equivalence clinical trial was conducted. This study enrolled 288 tic disorder(TD) of children and assigned them into two groups in 1∶1. The treatment group and control group took the modified formula and original formula, respectively. The treatment lasted for 6 weeks, and follow-up visits were conducted at weeks 2, 4, and 6. The primary efficacy endpoint was the difference in Yale global tic severity scale(YGTSS)-total tic severity(TTS) score from baseline after 6 weeks of treatment. The results showed that after 6 weeks of treatment, the declines in YGTSS-TSS score showed no statistically significant difference between the two groups. The difference in YGTSS-TSS score(treatment group-control group) and the 95%CI of the full analysis set(FAS) were-0.17[-1.42, 1.08] and those of per-protocol set(PPS) were 0.29[-0.97, 1.56], which were within the equivalence boundary [-3, 3]. The equivalence test was therefore concluded. The two groups showed no significant differences in the secondary efficacy endpoints of effective rate for TD, total score and factor scores of YGTSS, clinical global impressions-severity(CGI-S) score, traditional Chinese medicine(TCM) response rate, or symptom disappearance rate, and thus a complete evidence chain with the primary outcome was formed. A total of 6 adverse reactions were reported, including 4(2.82%) cases in the treatment group and 2(1.41%) cases in the control group, which showed no statistically significant difference between the two groups. No serious suspected unexpected adverse reactions were reported, and no laboratory test results indicated serious clinically significant abnormalities. The results support the replacement of Os Draconis by Ostreae Concha in the original formula, and the efficacy and safety of the modified formula are consistent with those of the original formula.
Adolescent ; Child ; Child, Preschool ; Female ; Humans ; Male ; Double-Blind Method ; Drugs, Chinese Herbal/therapeutic use* ; Tic Disorders/drug therapy* ; Treatment Outcome

Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals ; Moringa oleifera/chemistry* ; Male ; Mice ; Seeds/chemistry* ; Plant Leaves/chemistry* ; Mice, Inbred ICR ; Memory Disorders/psychology* ; Transcriptome/drug effects* ; Memory/drug effects* ; Learning/drug effects* ; Metabolomics ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Maze Learning/drug effects*