Objective This study aimed to evaluate whether the onset of the plateau phase of slow hepatitis B surface antigen decline in patients with chronic hepatitis B treated with intermittent interferon therapy is related to the frequency of dendritic cell subsets and expression of the costimulatory molecules CD40,CD80,CD83,and CD86. Method This was a cross-sectional study in which patients were divided into a natural history group(namely NH group),a long-term oral nucleoside analogs treatment group(namely NA group),and a plateau-arriving group(namely P group).The percentage of plasmacytoid dendritic cell and myeloid dendritic cell subsets in peripheral blood lymphocytes and monocytes and the mean fluorescence intensity of their surface costimulatory molecules were detected using a flow cytometer. Results In total,143 patients were enrolled(NH group,n = 49;NA group,n = 47;P group,n = 47).The results demonstrated that CD141/CD1c double negative myeloid dendritic cell(DNmDC)/lymphocytes and monocytes(%)in P group(0.041[0.024,0.069])was significantly lower than that in NH group(0.270[0.135,0.407])and NA group(0.273[0.150,0.443]),and CD86 mean fluorescence intensity of DNmDCs in P group(1832.0[1484.0,2793.0])was significantly lower than that in NH group(4316.0[2958.0,5169.0])and NA group(3299.0[2534.0,4371.0]),Adjusted P all<0.001. Conclusion Reduced DNmDCs and impaired maturation may be associated with the onset of the plateau phase during intermittent interferon therapy in patients with chronic hepatitis B.

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

[Objective]To investigate the effect and mechanism of Shuxuetong and its main component hirudin on the apoptosis of cerebellar granule neurons(CGNs)in Sprague-Dawley(SD)rats.[Methods]CGNs incubated in vitro for 7 days were divided into survival control group or 25 K group(cultured in medium containing 25 mmol/L KCL)and apopto-sis group or 5 K group(cultured in medium containing 5 mmol/L KCL).CGNs were separately treated with proportionally diluted and different concentrations of Shuxuetong(1/50,1/40,1/30,1/20 and 1/10)and the corresponding different con-centrations of hirudin(2,2.5,3.34,5 and 10 U/mL).Hoechst staining was performed to analyze the apoptosis.Western blot was used to detect the expression levels of Cleaved Caspase-3,Bim and VEGF.[Results]Hoechst staining showed that 5 K group had a higher apoptosis rate than 25 K group.In 25 K group,there was no significant change in the apoptosis rate between neurons treated with different concentrations of Shuxuetong and hirudin,but significant changes was found in 5 K group and the higher the concentration,the lower the apoptosis rate.Western blot results revealed that,compared with control neurons in 5 K group,Shuxuetong injection and hirudin treatments resulted in a decrease of Cleaved Caspase-3 and Bim expression,but an increase of VEGF protein.[Conclusions]Shuxuetong and its main component hirudin inhibits the apoptosis of CGNs through suppressing proapoptotic BH3-only protein Bim.

MiRNAs are a class of small non-coding RNAs,which regulate gene expression post-transcriptionally by partial complementary base pairing.Aberrant miRNA expressions have been reported in tumor tissues and peripheral blood of cancer patients.In recent years,artificial intelligence algorithms such as machine learning and deep learning have been widely used in bioinformatic research.Compared to traditional bioinformatic tools,miRNA target prediction tools based on artificial intelligence algorithms have higher accuracy,and can successfully predict subcellular localization and redistribution of miRNAs to deepen our understanding.Additionally,the construction of clinical models based on artificial intelligence algorithms could significantly improve the mining efficiency of miRNA used as biomarkers.In this article,we summarize recent development of bioinformatic miRNA tools based on artificial intelligence algorithms,focusing on the potential of machine learning and deep learning in cancer-related miRNA research.

Objective:To investigate the correlation between triglyceride-glucose (TyG) index on admission and unfavorable outcomes of patients with moderate-to-severe traumatic brain injury (msTBI) at 6 months postinjury.Methods:A retrospective cohort study was conducted to analyze the clinical data of 277 patients with msTBI admitted to Affiliated Jiangyin Hospital of Nantong University from January 2019 to December 2022, including 208 males and 69 females, aged 18-88 years [(57.0±15.1)years]. Glasgow Coma Scale (GCS) scores on admission were 3-8 points in 168 patients and 9-12 points in 109. According to the Glasgow Outcome Scale-Extended (GOSE) assessment at 6 months after injury, there were 121 patients with unfavorable outcomes (GOSE≤4 points) and 156 with favorable outcomes (GOSE≥5 points). The following indicators of the patients were recorded, including gender, age, history of diabetes, cause of injury, admission GCS, GCS motor score (GCSM), pupillary light reflex, worst Marshall CT classification within the first 24 hours after admission, admission TyG index, Mean Amplitude of Glycemic Excursions (MAGE) within 24 hours after admission, GCSM decline≥2 points within 72 hours after admission, craniotomy or not after admission, and prognosis, etc. TyG index served as the exposure variable focused in this study, which was calculated with fasting triglycerides and fasting blood glucose within 24 hours after admission. The 6-month prognosis of the patients was designated as the outcome variable of the study. After the patients were divided into different groups according to the three quantiles of the TyG index and unfavorable or favorable outcomes, the univariate analysis was conducted on watch variables, and variables with statistically significant differences were included in directed acyclic graphs (DAGs) for further identification of confounding variables. Factors which were found with no statistical significance in the univariate analysis but might affect insulin resistance after injury according to the authors′ previous researches were also included in the DAGs analysis. Three Logistic regression models were designed (Model 1 without correction, Model 2 with core variables of International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) corrected, and Model 3 with confounding variables screened by DAGs corrected) to analyze whether the TyG index was an independent risk factor for the prognosis of msTBI patients. The optimal Logistic regression model was selected and then restricted cubic spline (RCS) was employed to investigate the relationship between the TyG index and the unfavorable outcomes.Results:The univariate analysis suggested that there were significant differences in gender, history of diabetes, MAGE, GCSM decline, and prognosis among the three quantiles of the TyG index ( P<0.05 or 0.01). Significant differences in age, history of diabetes, GCSM, pupillary light reflex, Marshall CT classification, TyG index, MAGE and GCSM decline were observed between unfavorable and favorable outcome groups ( P<0.05 or 0.01). The results of Logistic regression analysis that identified the confounding variables that influenced the correlation between the TyG index and unfavorable prognosis with DAGs suggested that a high TyG index level was significantly correlated with unfavorable outcomes in msTBI patients. Moreover, Model 3 that was corrected with confounding variables screened by DAGs had an optimal goodness-of-fit and adaptability. Model 3-based further RCS analysis indicated that the risk of unfavorable outcomes following msTBI may increase approximately linearly with the increase in TyG index within a certain range (TyG index<9.79). Conclusions:A high TyG index level on admission is the identified as an independent risk factor for unfavorable outcomes of patients with msTBI at 6 months postinjury. As the TyG index level increases, the risk of unfavorable outcomes also rises and may show a linear increasing trend within a certain range (TyG index<9.79).

Objective Explore the comprehensive emotion adjustment pattern that combines non-contact physiological and psychological detection methods in fasting and low metabolism scenarios.This study aims to verify the accuracy of non-contact physiological and psychological detection algorithms and evaluate the effectiveness of multimodal emotion adjustment schemes for addressing negative emotional states such as depression and anxiety.Methods Deploy non-contact physiological and psychological detection algorithms and emotion adjustment plans to build a multimodal emotion adjustment system.Collect physiological and psychological data from volunteers participating in the 15-days complete fasting human low metabolism experiment of"Green Star Travel Ⅷ".Utilize finger clip oximeters and scales to verify the accuracy of existing non-contact physiological and psychological methods within the system.Design an emotion adjustment experiment featuring four groups:sound adjustment,acupoints adjustment,magnetism adjustment,and combination adjustment.Compare the volunteers'scale scores before and after the adjustments to verify the effectiveness of the system's emotion adjustment capabilities.Results The experimental results demonstrate that the average difference in the Bland-Altman plot for the non-contact heart rate detection model is ﹣0.497 bpm,with 95.3%of the error values falling within the 95%consistency interval.The non-contact psychological detection model achieved an accuracy rate of over 80%in identifying stress,anxiety,and depression,and an accuracy rate of over 70%in identifying fatigue and anger.Following emotion adjustment,the stress levels of the subjects significantly improved(P?

Objective In the future,during the landing and exploration of near-Earth planets(e.g.,Mars,Jupiter,etc.),astronauts may take the initiative to start fasting to reduce the amount of load;and it is even more likely that astronauts will take the initiative to fast in the process of manned deep-space exploration in the future,or they may enter a dormant low-metabolism state to save the amount of load to enable the spaceship to fly for a longer period,and to locate in a deeper and farther position.The ability of an individual to maintain cognitive ability and respond appropriately over a period in a long-term fasting state is important for survival.Therefore,the present study focused on investigating the effects of 15 days of complete fasting on dual cognitive control function and its neural mechanisms.Methods Twenty-four healthy volunteers were recruited to participate in the fasting experiment.Behavioral and electroencephalographic data from the AX-CPT Task were collected with event-related potentials(ERP)to assess the effects of 15 days of complete fasting on dual cognitive control in 16 volunteers.Results(1)Behavioral outcomes had significant main effects on response time[F(1,15)=99.41,P?

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

[Objective] To summarize the clinical manifestations, pathological characteristics, treatment options and prognosis of the world's first case of prostate ductal adenocarcinoma (PDA) complicated with prostate mucinous adenocarcinoma (PMA). [Methods] The clinical and follow-up data of a patient with PDA and PMA treated in Zhongnan Hospital of Wuhan University were retrospectively analyzed, and relevant literature in PubMed and CNKI databases was retrieved. [Results] The patient sought medical attention due to dysuria, frequent urination, urinary urgency and urinary pain for more than half a year, and was admitted to hospital 3 times in total.The initial diagnosis upon the first admission was benign prostatic hyperplasia complicated with prostatic abscess.After 2 months, the patient was readmitted due to worsening symptoms, received transurethral bladder neck incision+ cystoscopy+ transurethral plasma resection of the prostate, and postoperative diagnosis confirmed PDA with local PMA.Three months after surgery, the patient had bleeding.After auxiliary examinations revealed extensive metastasis, he received hormonal therapy.After 9 months, the patient died due to multiple lung metastases. [Conclusion] Early diagnosis has a significant impact on the treatment and prognosis, but there have been no previous reports of PDA combined with PMA, so the lack of specific biomarkers in the early stage has led to missed diagnosis or misdiagnoses.There is no specific treatment for PDA with PMA. Radical prostatectomy was not satisfactory in the treatment of this case.

Objective To investigate associations between three-dimensional(3D)morphology of cervical vertebrae and skeletal mat-uration by cone-beam computed tomography(CBCT)and establish corresponding regression models for quantitatively evaluating cervical vertebral maturation(CVM).Methods The analyzed sample consisted of 358 CBCT images(175 male,183 female),of which 277 images were randomly selected as the model development group and 81 as the performance test group.Twenty-one 3D morphological pa-rameters were defined and measured,incorporating all parts of the cervical vertebrae,including the cervical vertebral bodies,transverse processes,spinous processes,pedicles,lamina,and articular processes.The cervical vertebral maturation index(CVMI)was determined by experienced orthodontists as reference standard.Spearman's rank correlation coefficient and multivariable stepwise regression analysis were used to identify the associations and build regression models.The performance test group was employed to ex-amine each model's reliability.Paired-samples Wilcoxon signed-rank test compared the CVMI of the model prediction with the reference standard.Results Three-dimensional morphological changes in various parts of the cervical vertebrae correlated with CVMI(P＜0.05).Six 3D morphometric parameters were each recognized for male and female models,three of which were identical.The adjusted R2 was 0.899 for males and 0.902 for females,with corresponding accuracies of 85.0%and 85.4%,respectively.These models showed no difference as compared with the reference standard(P＞0.05).Con-clusion New associations were found between 3D morphology of cer-vical vertebrae and skeletal maturation.The 3D-driven morphometric CVM assessment method and corresponding regression models exhibited good credibility and high consistency with experts.