Objective:To evaluate the effectiveness of a mobile extracorporeal cardiopulmonary resuscitation (ECPR) team in treating cardiac arrest (CA) in the mountainous regions of southwest Zhejiang Province, and to provide clinical insights for ECPR in patients with prolonged low blood flow time in such areas.Methods:A retrospective analysis was conducted on 55 CA patients treated with ECPR at Lishui People's Hospital from June 2020 to June 2024. These patients were compared with 55 CA patients treated with ECPR in urban areas during the same period. The mobile team from our center established ECMO support at county-level hospitals before transferring patients to our hospital's ECMO treatment center for further care. General patient data and blood gas analysis results before and 2 hours after ECPR were collected. Clinical data differences between the two groups were compared, and factors influencing patient prognosis were analyzed using univariate and multivariate Cox regression analyses.Results:The average age of the patients was (52.45 ± 15.66) years, with an average low blood flow time of 151.42 ± 49.31 minutes. The 30-day survival rate was 23.64%, and the rate of good neurological recovery was 18.18%. Although the survival rate and good neurological function rate were lower than those of ECPR patients in urban areas, the differences were not statistically significant ( P > 0.05). Univariate Cox analysis revealed that defibrillation rhythm, low blood flow time, pH before and after ECMO, blood lactate levels before and after ECMO, and hemoglobin significantly influenced the prognosis of ECPR patients ( P < 0.05). Multivariate Cox analysis identified post-ECMO pH ( HR = 0.037) and post-ECMO blood lactate levels ( HR = 1.078) as independent prognostic factors for ECPR patients ( P < 0.05). Conclusions:Despite the longer low blood flow time in CA patients from mountainous areas, the mobile ECPR team can effectively enhance the treatment success rate of these patients through ECPR.

Objective:To investigate the relationship between screen time and content, and the mental health status of adolescents. The findings will inform the formulation of targeted intervention policies to enhance adolescent mental health.Methods:Between September and November 2023, 5 197 students from 64 junior high, senior high, and vocational schools across 13 districts in Wuhan were recruited, using the stratified whole-cluster random sampling to investigate their screen behavior and mental health status. Mental health status was measured using the Mental Health Inventory for Chinese Middle School Students (MMHI-60). A generalized additive model was used to explore the nonlinear association between screen time and mental health status. Additionally, a mixed-effects model was utilized to explore the dose-response associations between average daily total screen time, screen time for different content types, and adolescents' mental health status and the impact of the proportion of different screen contents on mental health outcomes.Results:The age of the participants was (14.40±1.48) years, with 56.07% being boys. The MMHI-60 score averaged 1.73±0.70. The M( Q1,Q3) for daily total screen time was 50.00 (0.00,128.57) minutes. The M( Q1,Q3) for screen time dedicated to gaming, studying, socializing, and watching videos were 0.00 (0.00, 20.00), 8.57 (1.64, 44.50), 4.28 (0.00, 30.00), and 0.00 (0.00, 25.71) minutes, respectively. A non-linear association was observed between average daily screen time and adolescent mental health problem score, 0-1 hour of daily screen time was beneficial for adolescent mental, compared to no screen time. However, screen time exceeding 1 hour was detrimental, with the negative impact increasing alongside screen time duration. When total daily screen time was held constant, the proportion of time spent on gaming ( β=0.14, 95% CI: 0.05-0.23, P=0.003) and video ( β=0.21, 95% CI: 0.09-0.28, P<0.001) was positively correlated with mental health problems, whereas the proportion of time spent on studying was negatively correlated with mental health problems ( β=-0.17, 95% CI: -0.24 - -0.11, P<0.001). Conclusions:Moderate screen time is advantageous for adolescent mental health. However, it is crucial to minimize the proportion of screen time dedicated to video and gaming activities to mitigate potential adverse effects.

This study was aimed at identifying the pathogenic bacteria responsible for the death of a young tiger at the Fujian Meihua Mountain South China Tiger Breeding Research Institute.Tissue samples from the lungs,liver,and intestines of the deceased tiger were collected,and the bacteria were cultured inasterile environment.The bacterial strains were characterized according to their morphological and molecular biological properties,including assessment of virulence genes and antibiotic resistance genes,mouse lethality tests,and antibiotic susceptibility evaluations.A predominant bacterial strain isolated from the liver of the deceased tiger was identified as enterotoxigenic Escherichia coli(ETEC)strain Tiger22513F.Phylogenetic analysis of the 16S rRNA gene revealed that the Tiger22513F strain exhibited close genetic similarity to the reference strain ETEC(MF919609.1),with 99.9%nucleotide similarity,and resided on the same evolutionary branch.The Tiger22513F strain contained 11 antibiotic resistance genes(tetA,sul1,sul3,cmlA,floR,blaTEM,blaSHV,blaCMY-2,qnrA,qnrS,and qnrD)along with five virulence genes(VT1,fyuA,tsh,iucD,and ST).Mouse lethality tests indicated significant pathogenicity toward mice,affecting primarily the lungs,liver,and intestines.Antibiotic susceptibility testing demonstrated that this strain exhibited resistance to various classes of beta-lactam antibiotics,as well as quinolones and aminoglycosides.This investigation successfully isolated a multi-drug resistant enterotoxigenic Escherichia coli strain with pronounced pathogenicity from the liver of a deceased tiger;thus providing valuable scientific insights for clinical diagnosis,as well as prevention and control measures,against ETEC infections in South China tigers.

OBJECTIVE: To investigate the predictive value of the prognostic nutritional index (PNI) and systemic inflammatory response index (SIRI) for short-term efficacy and prognosis in newly treated patients with peripheral T-cell lymphoma (PTCL). METHODS: The general data, laboratory indicators, disease stage and other clinical data of 91 newly treated PTCL patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2015 to December 2023 were retrospectively analyzed. The optimal cutoff values for PNI and SIRI were determined using receiver operating characteristic (ROC) curves, and the patients were stratified into groups based on these cutoffs to compare clinical features and short-term efficacy between the different groups. Kaplan-Meier method was used to plot survival curves, and univariate and multivariate analyses were performed to identify the factors affecting overall survival (OS). RESULTS: The optimal cutoff values for PNI and SIRI were 45.30 and 1.74×10⁹/L, respectively. Patients in different PNI groups showed statistically significant differences in age, Ann Arbor stage, lactate dehydrogenase (LDH) level, international prognostic index (IPI), prognostic index for PTCL-not otherwise specified (PIT), pathological subtypes, and complete response (CR) rate (P < 0.05). PTCL patients in different SIRI groups exhibited significant differences in Ann Arbor stage, LDH level, IPI score, PIT score, and CR rate (P < 0.05). Logistic regression analysis showed that age ≥60 years old (OR =2.750), Ann Arbor stage Ⅲ-Ⅳ (OR =5.200), IPI score ≥2 (OR =7.650), low PNI (OR =3.296), and high SIRI (OR =3.130) were independent risk factors affecting treatment efficacy in PTCL patients (P < 0.05). Cox proportional hazards regression model analysis showed that low PNI and elevated β₂-microglobulin (β₂-MG) levels were independent risk factors affecting OS (P < 0.05). CONCLUSION PNI and SIRI have certain application value in evaluating short-term efficacy and prognosis in patients with PTCL. Compared with SIRI, PNI demonstrates greater predictive value for patient prognosis.
Humans ; Prognosis ; Lymphoma, T-Cell, Peripheral/therapy* ; Retrospective Studies ; Nutrition Assessment ; Male ; Female ; Middle Aged ; ROC Curve ; Inflammation

Neuropathic pain, a debilitating condition caused by dysfunction of the somatosensory nervous system, remains difficult to treat due to limited understanding of its molecular mechanisms. Bioinformatics analysis identified cerebellin 2 (CBLN2) as highly enriched in human and murine proprioceptive and nociceptive neurons. We found that CBLN2 expression is persistently upregulated in dorsal root ganglia (DRG) following spinal nerve ligation (SNL) in mice. In addition, transcription factor SOX11 binds to 12 cis-regulatory elements within the Cbln2 promoter to enhance its transcription. SNL also induced SOX11 upregulation, with SOX11 and CBLN2 co-localized in nociceptive neurons. The siRNA-mediated knockdown of Sox11 or Cbln2 attenuated SNL-induced mechanical allodynia and thermal hyperalgesia. High-throughput sequencing of DRG following intrathecal injection of CBLN2 revealed widespread gene expression changes, including upregulation of numerous NF-κB downstream targets. Consistently, CBLN2 activated NF-κB signaling, and inhibition with pyrrolidine dithiocarbamate reduced CBLN2-induced pain hypersensitivity, proinflammatory cytokines and chemokines production, and neuronal hyperexcitability. Together, these findings identified the SOX11/CBLN2/NF-κB axis as a critical mediator of neuropathic pain and a promising target for therapeutic intervention.
Animals ; Neuralgia/metabolism* ; Ganglia, Spinal/metabolism* ; Up-Regulation ; Mice ; NF-kappa B/metabolism* ; SOXC Transcription Factors/genetics* ; Male ; Neuroinflammatory Diseases/metabolism* ; Mice, Inbred C57BL ; Nerve Tissue Proteins/genetics* ; Hyperalgesia/metabolism* ; Signal Transduction ; Spinal Nerves

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

To perform the phylogenetic characterization of an isolated porcine rotavirus(PoRV)and investigate its pathogenicity in suckling mice and piglets.A G4P[23]genotype PoRV strain JSJR2023 was successfully isolated from the diarrheic piglet feces through propagation in MA104 cells.The viral proliferation kinetics were analyzed using TCID50 assays,followed by complete genome sequencing through Sanger sequencing platforms.Comprehensive genotyping and phylogenetic reconstruction were conducted using MEGA7.0 with maximum likelihood algorithms.Pathogenicity was assessed in the following animal models:5-day-old C57BL/6 mice and 3-day-old piglets.Multidimensional evaluation included clinical monitoring(diarrhea scoring,growth parameters),virological detection,and histopathological analysis of intestinal tissues.The virus strain JSJR2023 could replicate efficiently in MA104 cells,achieving peak titers of 107.5 TCID50/mL.Whole genome genotype analysis showed that the strain belonged to G4-P[23]-I5-R1-C1-M1-A8-N1-T1-E1-H1.Phylogenetic analysis indicated that the VP3 and NSP4 genes of JSJR2023 strain were most closedrelated to human species rotaviruses,suggesting genetic reassortment between human and porcine RV strains.The animal experiments in suckling mice showed that the JSJR2023 strain infection caused diarrhea symptoms,intestinal edema and congestion,and shedding of intestinal villus epithelial cells.The pathogenicity experiments in piglets showed that compared with the control group,the challenged group of pig-lets had severe diarrhea symptoms,accompanied by reduced appetite and listlessness.Post-mortem examination revealed that the intes-tines were significantly thinner,congested,and filled with yellow watery contents.The challenged piglets showed typical pathological changes such as thinning of the intestinal wall and shortening and shedding of intestinal villi.In conclusion,this study successfully iso-lated a human-porcine recombinant G4P[23]PoRV strain and established the infection models in suckling mice and piglets,providing important tools for investigating the pathogenic mechanism of PoRV,evaluating vaccines and developing antiviral drug.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Barrett's esophagus(BE),a precancerous state of esophageal adenocarcinoma,poses a major challenge for prevention and treatment owing to its complex mechanism of inflammation-cancer transformation and the lack of effective clinical treatment and torsion strategies.Building upon the"preventing disease progression"theory,this study aimed to address the critical clinical challenge of intercepting the pathological progression during the inflammation-cancer transformation of BE by proposing an innovative"two critical nodes-three stages"pathomechanism framework.The pathogenesis of BE originates from liver depression and qi stagnation.The pathological progression evolves through two critical nodes:liver depression transforming into heat and heat transforming into blood stasis,representing a three-stage evolutionary pattern of qi stagnation,heat transformation,and blood stasis formation.Acidic bile salts,acting as a pathogenic toxin,permeate the entire process and catalyze carcinogenesis.Based on this understanding,the therapeutic principles of"treatment from the liver"and"truncation and torsion"were established,emphasizing stage-specific interventions.For the qi stagnation stage,treatment focuses on soothing the liver and regulating qi,as well as moistening,harmonizing,and descending the qi.This is achieved by combining modified Chaihu Shugan Powder with Xuanfu Daizhe Decoction,while using pungent and drying herbs cautiously and supplementing them with light and floral herbs.In the heat transformation stage,the strategy aims to clear the liver and drain heat while protecting yin and harmonizing the stomach,employing modified Huaganjian combined with Yiguanjian and supplemented with Jinlingzi Powder to clear depressed fire.For the blood stasis formation stage,treatment involves activating blood and resolving stasis,combined with supporting healthy qi and removing toxins.This is achieved using a modified Gexia Zhuyu Decoction,supplemented with Liujunzi Decoction,and additions such as Radix Salviae Miltiorrhizae and turtle carapace to disperse nodules and reduce masses.This theoretical framework establishes a diagnostic and therapeutic model characterized by the integration of disease mechanisms with pathology and the mutual reference of macro-level signs with micro-level indicators.It provides a comprehensive clinical practice pathway,complete with principles,methods,formulas,and herbs,for the stage-specific interception of inflammation-cancer transformation in BE using traditional Chinese medicine.