Objective To analyze the structural and phylogenetic characteristics of the mitochondrial genome from Bulinus globosus, so as to provide a theoretical basis for classification and identification of species within the Bulinus genus, and to provide insights into understanding of Bulinus-schistosomes interactions and the mechanisms of parasite transmission. Methods B. globosus samples were collected from the Ruya River basin in Zimbabwe. Mitochondrial DNA was extracted from B. globosus samples and the corresponding libraries were constructed for high-throughput sequencing on the Illumina NovaSeq 6000 platform. After raw sequencing data were subjected to quality control using the fastp software, genome assembly was performed using the A5-miseq and SPAdes tools, and genome annotation was conducted using the MITOS online server. Circular maps and sequence plots of the mitochondrial genome were generated using the CGView and OGDRAW software, and the protein conservation motifs and structures were analyzed using the TBtools software. Base composition and codon usage bias were analyzed and visualized using the software MEGA X and the ggplot2 package in the R software. In addition, a phylogenetic tree was created in the software MEGA X after sequence alignment with the software MAFFT 7, and visualized using the software iTOL. Results The mitochondrial genome of B. globosus was a 13 730 bp double-stranded circular molecule, containing 2 ribosomal RNA (rRNA) genes, 22 transfer RNA (tRNA) genes, and 13 protein-coding genes, with a marked AT preference. The mitochondrial genome composition of B. globosus was similar to that of other species within the Bulinus genus. Phylogenetic analysis revealed that the complete mitochondrial genome sequence of B. globosus was clustered with B. truncatus, B. nasutus, and B. ugandae into the same evolutionary clade, and gene superfamily analysis showed that the metabolism-related proteins of B. globosus were highly conserved, notably the cytochrome c oxidase family, which showed a significant consistency. Conclusions This is the first whole mitochondrial genome sequencing to decode the compositional features of the mitochondrial genome of B. globosus from Zimbabwe and its evolutionary relationship within the Bulinus genus, which provides important insights for further understanding of the phylogeny and mitochondrial genome characteristics of the Bulinus genus.

BackgroundWomen may develop severe symptoms of stress disorder following childbirth， which may be exposed to a risk of developing mental health problems， and even lead to the recurrence of the illness in female patients with schizophrenia， while comparatively limited research has been undertaken concerning the clinical characteristics and treatment of puerperal schizophrenia in China. ObjectiveTo explore the clinical characteristics of puerperal schizophrenia， so as to provide references for the clinical treatment. MethodsA total of 24 patients with puerperal schizophrenia who were hospitalized in the female ward of adult psychiatry department of the Affiliated Brain Hospital of Guangzhou Medical University from 2012 to 2020 and met the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） diagnostic criteria for schizophrenia were included as puerperal group. Another 48 non-puerperal women with schizophrenia were concurrently enrolled as control group. Then the basic data， scores on Positive and Negative Symptom Scale （PANSS） and the discharge medication were recorded. ResultsThe percentages of newly onset and positive family history of psychosis in puerperal group were larger than those in control group， with statistical significance （χ²=9.321， 5.240， P<0.05 or 0.01）. Puerperal group scored higher on PANSS excitement factor （t=-2.220， P<0.05） and lower on negative factor （t=3.377， P<0.01） compared with control group. In terms of discharge medication， puerperal group reported a higher dosage of antipsychotic drugs （t=-2.095， P<0.05）， and a larger proportion of combined use of benzodiazepines or antidepressants （χ²=21.316， 5.114， P<0.05 or 0.01） compared with control group， with statistical significance. ConclusionPatients with puerperal schizophrenia display increased ratings of excitement symptoms and decreased ratings of negative symptoms， which necessitates the use of high doses of antipsychotic drugs， and combined use of benzodiazepines and antidepressants.

Purpose To explore the value of three-dimensions densely connected convolutional networks(3D-DenseNet)in the differential diagnosis of high-grade gliomas(HGGs)and single brain metastases(BMs)via MRI,and to compare the diagnostic performance of models built with different sequences.Materials and Methods T2WI and T1WI contra-enhanced(T1C)imaging data of 230 cases of HGGs and 111 cases of BMs confirmed by surgical pathology in Lanzhou University Second Hospital from June 2016 to June 2021 were retrospectively collected,and the volume of interest under the 3D model was delineated in advance as the input data.All data were randomly divided into a training set(n=254)and a validation set(n=87)in a ratio of 7∶3.Based on the 3D-DenseNet,T2WI,T1C and two sequence fusion prediction models(T2-net,T1C-net and TS-net)were constructed respectively.The predictive efficiency of each model was evaluated and compared by the receiver operating characteristic curve,and the predictive performance of models built with different sequences were compared.Results The area under curve(AUC)of T1C-net,T2-net and TS-net in the training and validation sets were 0.852,0.853,0.802,0.721,0.856 and 0.745,respectively.The AUC and accuracy of the validation set of T1C-net were significantly higher than those of T2-net and TS-net,respectively,and the AUC and accuracy of the validation set of TS-net were significantly higher than those of T2-net.There was a significant difference between T1C-net and T2-net models(P<0.05),while there were no statistical differences between the models of TS-net and T2-net,T1C-net and TS-net(P>0.05).The T1C-net model based on 3D-DenseNet had the best performance,the accuracy of the validation set was 80.5%,the sensitivity was 90.9%,the specificity was 62.5%.Conclusion The 3D-DenseNet model based on MRI conventional sequence has better diagnostic performance,and the model built by T1C-net sequence has better performance in differentiating HGGs and BMs.Deep learning models can be a potential tool to identify HGGs and BMs and to guide the clinical formulation of precise treatment plans.

This study aims to investigate the effects of Japanese encephalitis virus(JEV)on TLRs signaling pathway and its regulation of the secretion of inflammatory factors during the infection of testicular interstitial cells,In this study,the mRNA levels of TLR3,TLR7,TLR8,TRIF and MyD88 genes were detected by qPCR after 1 MOI dose of JEV was inoculated into testicular stro-mal cells at different time periods.Western blot assay was used to detect the expression levels of TLR3,TLR7,TRIF and MyD88 protein at 6 h after JEV infection,and ELISA was used to detect the expression levels of IL-1β,IL-6 and TNF-α at different time periods(6,12 and 24 h).The re-sults showed as follows:After 6 h of JEV infection,the mRNA levels of TLR3,TLR7,TRIF and MyD88 genes were significantly up-regulated(P＜0.05),and the mRNA levels of TLR8 genes were down-regulated(P＜0.05).Western blot results showed that the protein expressions of TLR3,TLR7,TRIF and MyD88 were significantly up-regulated when JEV infected testicular stromal cells for 6 h(P＜0.05),which was consistent with the corresponding mRNA transcription levels.There was no significant change in TLR8 protein expression.ELISA results showed that 6 h after JEV infection of testicular stromal cells,IL-6 was significantly increased(P＜0.01),and the expressions of IL-1β and TNF-α were not changed.TLR3,TLR7,TLR8,TRIF and MyD88 were si-lenced by siRNA,and the silenced cells were inoculated with JEV for 6 h,and IL-6 expression lev-els were detected by ELISA.The results showed that silenced TLR3,TLR7,TLR8,TRIF and MyD88 could significantly reduce the increase of IL-6 secretion induced by JEV infection(P＜0.05).These results indicated that JEV could induce the expression of inflammatory factor IL-6 by activating TLR3,TLR7 and TLR8 signaling pathway after infection of testicular stromal cells.This study provides a reference for further elucidating the mechanism of reproductive disorders caused by JEV infection.

Porcine circovirus type 2(PCV2)is the main pathogen causing porcine circovirus related diseases.PCV2 infection in pigs may lead to porcine dermatitis and nephrotic syndrome(PDNS)and weaned piglets multiple system failure syndrome(PMWS),etc.At present,the pathogenic mechanism is not fully understood.PCV2 is a single strand of negative link DNA,which can cause immune suppression in the body and lead to increased secondary susceptibility,which has a syner-gistic effect with various pig diseases and brings major economic losses to the pig industry.Al-though there are commercial vaccines,the prevention of vaccines has certain limitations and there is no effective drug treatment so far,an outbreak will threaten people's life and health and public safety,resulting in significant economic losses.In order to understand the latest progress of PCV2 escape mechanism and prevention and control,this paper summarizes the inhibition of interferon production,regulation of apoptosis,regulation of autophagy,regulation of pyroptosis and inflam-matory response,evasion of adaptive immune response,and prevention and control of PCV2,in or-der to provide new theoretical ideas for the research and prevention and control of PCV2.

Objective:To analyze the predictive value of echocardiography combined with diaphragmatic ultrasound on the outcome of removing machine for patients who underwent cardiac valve replacement for mechanical ventilation.Methods:Retrospectively,a total of 57 patients who adopt mechanical ventilation after underwent cardiac valve replacement in the First People's Hospital of Yibin from January 2022 to March 2023 were selected as the study subjects.According to the results of removing machine,the patients were divided into failed group(11 cases)and successful group(46 cases).All patients underwent echocardiography combined with diaphragmatic ultrasound examination.The indicators of echocardiography,included left ventricular ejection fractions(LVEF),right ventricular fractional area change(RVFAC)and systolic myocardial velocity(Sa),between different groups were compared.The early diastolic mitral annular tissue velocity(e')was recorded to calculate the ratio of early diastolic transmitral flow velocity(E)to e'(E/e'),and the indicators of echocardiography and diaphragmatic ultrasound.Logistic regression analysis was performed to analyze the factors affecting the failure of removing machine.Receiver operating characteristic(ROC)curve was drawn to evaluate the predictive values of echocardiography and diaphragmatic ultrasound indicators for the failure of removing machine in mechanical ventilation.Results:The differences of the differences of LVEF,RVFAC and Sa between failed group and successful group were no significant(P>0.05).The E/e'value of the successful group was 10.06±1.30,which was significantly lower than 12.69±2.96 of the failed group,and the difference was statistically significant(t=2.084,P＜0.05).The diaphragm thickening fraction(DTF)and diaphragm excursion(DE)values of the successful group were respectively 41.34±10.74 and 13.04±1.18,which were significantly higher than 19.67±5.37 and 11.27±0.94 of the failed group,respectively,and the differences between the two groups were statistically significant(t=2.148,2.776,P＜0.05).The results of logistic regression analysis showed that low expression of DTF and DE,as well as high expression of E/e',were all influence factors for the failure of removing machine for patients adopted mechanical ventilation after underwent cardiac valve replacement.The ROC results showed that the best cut-off value of the prediction model was 0.0893,and the area under curve(AUC)values were 0.713(95%CI:0.646～0.758),0.710(95%CI:0.651～0.779),0.752(95%CI:0.657～0.805)and 0.886(95%CI:0.782～0.991).Conclusion:The combination of echocardiography and diaphragm ultrasound has better prediction for the outcome of removing machine,which high higher clinical application value.

[Purpose]To analyze the compliance and influencing factors of endoscopic screening in high-risk population of upper gastrointestinal cancer(UGC)in Chongqing Municipality.[Methods]Risk assessment of UGC was conducted among residents aged 40～74 years old in the areas covered by the Chongqing Urban Cancer Early Diagnosis and Treatment Program from 2012 to 2019.The residents with high risk of UGC were advised to receive free endoscopic screening in designated hospitals.The compliance and influencing factors of endoscopic screening among high-risk sub-jects were analyzed.[Results]There were 266 611 residents who completed the questionnaires and UGC risk assessment,among whom 48 000(18.00％)were assessed as high risk.A total of 9 162 high-risk individuals received the following endoscopic screening with a compliance rate of 19.09％.Multivariate Logistic regression analysis showed that residents aged 45～64 years old,with high school or above education,divorced or widowed status,occupational exposure to haza-rdous substances,hot food preference,high fat diet,frequent consumption of pickled and dried food,exposure to kitchen fume,psychic trauma or depression,upper gastrointestinal disease his-tory and family history of UGC were likely to accept endoscopic screening;while those aged 70 years old and above,current smokers,and having regular physical exercise were likely to have low compliance.[Conclusion]Among high-risk residents of UGC in Chongqing,the compliance to endoscopic screening needs be improved,health education and management should be targeted to those likely to have low compliance.

Objective To analyze medication rules of traditional Chinese medicine in the treatment of thyroid nodules based on real-world data mining technology. Methods Chinese medicine prescriptions for patients with thyroid nodules as clinical first diagnosis in the Department of Thyroid and Breast Surgery in Qingdao Hospital of Traditional Chinese Medicine from August 2018 to August 2023 were collected, and the Traditional Chinese Medicine Inheritance Assistant Platform (V3.0) was used to analyze the medication rules. Results A total of 1 206 traditional Chinese medicine prescriptions for the treatment of thyroid nodules were screened, involving 291 traditional Chinese medicines; the top five most frequently used drugs were Fritillaria thunbergii, Prunella vulgaris, Bupleurum chinense, Poria cocos, and Pinellia ternata; the main function of drugs were clearing heat, tonifying deficiency, resolving phlegm, activating blood circulation, and regulating qi; the main property of the drugs was cold, the main tastes of drugs were bitter, sweet and spicy, and the meridians involved were mainly the lung, liver and spleen meridians; association rule analysis identified 17 high-frequency drug combinations, with Fritillaria thunbergii-Prunella vulgaris as the most frequently occurring drug pair; among the 16 association rules, Radix Scrophulariae-Fritillaria thunbergii and Rhizoma Cyperi-Bupleurum chinense had the highest confidence level; clustering analysis found 6 core drug combinations. Conclusion The main idea of clinical treatment of thyroid nodules in traditional Chinese medicine is to resolve phlegm and reduce nodules, promote qi circulation and blood circulation, and nourish qi and blood; the common herbal combination of Fritillaria thunbergii and Prunella vulgaris is used to clear heat, resolve phlegm, and reduce nodules, and the basic formula for resolving scrofula is based on Xiaoluo Pills, which resolves phlegm, softens hardened nodules, and reduces nodules.

OBJECTIVE: To explore the risk factors for poor prognosis in sepsis-associated acute kidney injury (SA-AKI) and establish a nomogram predictive model. METHODS: The clinical data of patients with SA-AKI admitted to the department of critical care medicine of Shandong Provincial Hospital Affiliated to Shandong First Medical University from January 2019 to September 2022 were retrospectively analyzed, including demographic information, worst values of blood cell counts and biochemical indicators within 24 hours of SA-AKI diagnosis, whether the patient received renal replacement therapy (RRT), mechanical ventilation, vasopressor therapy during hospitalization, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), fibrinogen-to-albumin ratio (FAR) within 24 hours of diagnosis, acute kidney injury (AKI) staging, total length of hospital stay, length of intensive care unit (ICU) stay, and others. According to the 28-day outcome, the patients were divided into survival group and death group, and the indicators between the two groups were compared. Univariate and multivariate Logistic regression analyses were used to screen for risk factors associated with mortality in SA-AKI patients. A nomogram predictive model for SA-AKI prognosis was constructed based on the identified risk factors. Receiver operator characteristic curve (ROC curve) and calibration plots were generated to evaluate the predictive value of the nomogram model for SA-AKI prognosis. RESULTS: A total of 113 SA-AKI patients were included, with 67 in the survival group and 46 in the death group. The 28-day mortality among SA-AKI patients was 40.7%. The comparison between the two groups showed that there were statistically significant differences in age ≥ 65 years, AKI stage, mechanical ventilation, vasopressors, RRT, length of ICU stay, and laboratory indicators cystatin C (Cys C), fibrinogen (Fib), and FAR. Multivariate Logistic regression analysis showed that age ≥ 65 years [odds ratio (OR) = 7.967, 95% confidence interval (95%CI) was 1.803-35.203, P = 0.006], cystatin C (OR = 7.202, 95%CI was 1.756-29.534, P = 0.006), FAR (OR = 2.444, 95%CI was 1.506-3.968, P < 0.001), and RRT (OR = 7.639, 95%CI was 1.391-41.951, P = 0.019) were independent risk factors for mortality in SA-AKI patients. ROC curve analysis showed that the area under the ROC curve (AUC) for age ≥ 65 years, cystatin C, FAR, and RRT in predicting SA-AKI patient mortality were 0.713, 0.856, 0.911, and 0.701, respectively. A nomogram predictive model for SA-AKI patient prognosis was constructed based on age ≥ 65 years, cystatin C, FAR, and RRT, with an AUC of 0.967 (95%CI was 0.932-1.000) according to ROC curve analysis. The calibration plot indicated good consistency between predicted and actual probabilities. CONCLUSIONS Age ≥ 65 years, cystatin C, FAR, and RRT are independent risk factors for mortality in SA-AKI patients. The nomogram predictive model based on these four factors can accurately predict SA-AKI patient prognosis, helping physicians adjust treatment strategies in a timely manner and improve patient outcomes.
Humans ; Aged ; Cystatin C ; Retrospective Studies ; Intensive Care Units ; Sepsis/diagnosis* ; Acute Kidney Injury/therapy* ; Prognosis ; ROC Curve ; Fibrinogen

Objective To construct an evaluation index system for the capability of comprehensive control of mountain-type zoonotic visceral leishmaniasis based on the One Health concept, so as to provide insights into the control and elimination of mountain-type zoonotic visceral leishmaniasis using the One Health approach. Methods A preliminary evaluation index system was constructed based on literature review, panel discussions and field surveys. Thirty-three experts were selected from 7 provincial disease control and prevention centers in Beijing Municipality, Hebei Province, Shanxi Province, Henan Province, Sichuan Province, Shaanxi Province and Gansu Province where mountain-type zoonotic visceral leishmaniasis was endemic, and two rounds of expert consultations were conducted to screen the indicators. The positive coefficient, degree of concentration, degree of coordination, and authority of the experts were calculated, and the normalized weights of each index were calculated with the analytic hierarchy process. Results The response rates of questionnaires during two rounds of expert consultation were both 100.00% (33/33), and the authority coefficients of the experts were 0.86 and 0.88, respectively. The coefficients of coordination among experts on the rationality, importance, and operability of the indicators were 0.392, 0.437, 0.258, and 0.364, 0.335, 0.263, respectively (all P values < 0.05). Following screening, the final evaluation index system included 3 primary indicators, 17 secondary indicators, and 50 tertiary indicators. The normalized weights of primary indicators “external environment”, “internal support” and “comprehensive control” were 16.98%, 38.73% and 44.29%, respectively. Among the secondary indicators of the primary indicator “external environment”, the highest weight was seen for natural environment (66.67%), and among the secondary indicators of the primary indicator “internal support”, the lowest weight was seen for the scientific research for visceral leishmaniasis control (8.26%), while other indicators had weights of 12.42% to 13.38%. Among the secondary indicators of the primary indicator “comprehensive control”, the weight was 16.67% for each indicator. Conclusions An evaluation index system has been constructed for the capability of comprehensive control of mountain-type zoonotic visceral leishmaniasis based on the One Health concept. In addition to assessment of the effect of conventional mountain-type zoonotic visceral leishmaniasis control measures, this index system integrates the importance of top-level design, organizational management, and implementation of control measures, and includes indicators related to multi-sectoral cooperation.