Objective:To screen the interacting protein of ubiquitin-conjugating enzyme E2S(UBE2S)and construct the hepatocellular carcinoma(HCC)based on UBE2S interacting protein prognosis model(UIPM),and to discuss the value of UIPM in assessing the prognosis of the HCC patients.Methods:Co-immunoprecipitation(Co-IP)was used to screen the protein complexes binding to Flag-UBE2S.After validation by sodium dodecyl sulphate-polyacrylamide gel electrophoresis(SDS-PAGE)and Western blotting methods;liquid chromatography-mass spectrometer(LC-MS)was used to identify the UBE2S interacting proteins;Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were conducted on these proteins;the prognosis-related proteins from The Cancer Genome Atlas(TCGA)were cross-referenced with UBE2S interacting proteins by survival package of R software;the key proteins were extracted through LASSO regression analysis to build the UIPM;the prognostic model risk scoring formula was established.The HCC patients in TCGA were divided into high risk group and low risk group based on median value of the risk scores.The predictive accuracy of UIPM was evaluated by receiver operating characteristic curve(ROC),and the predictive accuracy was further validated by International Cancer Genome Consortium(ICGC)Database;univariate regression analysis and multivariate Cox regression analysis were used to detect whether the UIPM risk score was an independent prognostic factor for HCC.Furthermore,the nomogram model was built.Results:A total of 97 UBE2S interacting proteins were identified through Co-IP combined with LC-MS analysis.The GO functional enrichment analysis and KEGG signaling pathway enrichment analysis results showed that the interacting proteins were closely associated with cysteine-type endopeptidase activity,oxidative stress,and cell death.The TCGA revealed 5 163 HCC prognosis-related proteins;after intersecting with UBE2S interacting proteins,40 prognosis-related interacting proteins were found.Seven key proteins were determined through LASSO regression analysis,including UBE2S,heat shock protein family A member 8(HSPA8),heterogeneous nuclear ribonucleoprotein H1(HNRNPH1),chaperonin containing TCP1 subunit 3(CCT3),eukaryotic translation initiation factor 2 subunit 1(EIF2S1),receptor for activated C kinase 1(RACK1),and actin related protein 2/3 complex subunit 4(ARPC4),and the UIPM was constructed.There was significant difference in survival rate of the patients between high risk group and low risk group(P<0.05).The ROC curve analysis results showed the area under ROC curve(AUC)values of UIPM for predicting 1-year,2-year,and 3-year survival risk scores of the HCC patients were all greater than 0.7,indicating the model had high predictive accuracy.This was also confirmed by ICGC Database data.The univariate and multivariate Cox regression analysis results showed that the UIPM risk score was an independent prognostic risk factor for the HCC patients(P<0.05).The nomogram results showed good consistency between predicted survival rate and actual survival rate of the patient.Conclusion:A total of 97 interacting proteins that interact with UBE2S may promote the occurence and devolopment of HCC through oxidative stress and dysregulation of ferroptosis pathways.The UIPM risk score is an independent risk factor for the prognosis of HCC and can be used to predict the outcomes of the patients.UBE2S,HSPA8,HNRNPH1,CCT3,EIF2S1,RACK1,and ARPC4 could be regarded as the new biomarkers and therapeutic targets for HCC.

Sepsis is a life-threatening organ dysfunction caused by the host disordered response to infections.As one of the most important innate immune cells in the body，macrophages can maintain the immune homeostasis by recruiting other immune cells，clearing pathogens，presenting antigens，and play important regulatory roles in infectious diseases such as sepsis by releasing inflammatory factors.As a critical neurotransmitter，dopamine not only participates in the neurological processes such as learning and cognition，but also regulates the immune processes，including regulating the activation，proliferation and functional changes of immune cells such as neutrophils，lymphocytes，monocytes and macrophages.Current studies demonstrate that during the infection and inflammation process of sepsis，the phagocytosis，polarization，and release of inflammatory factors of macrophages are regulated by dopamine.This review summarized the recent research progress on the regulatory functions and the underlying mechanisms of dopamine on macrophages in sepsis.

Objective To explore whether the cognitive function of central obese mice is decreased by affecting the expression of brain-derived neurotrophic factor(BDNF)in hippocampus.Methods Healthy mice at the neonatal stage were divided into normal group and model group at random.To obtain the obese models,model group mice were injected at cervical subcutaneous with 10％L-monosodium glutamate(MSG;3 mg·g-1·d-1)for 5 days.The normal group was injected with the same dose of 0.9％NaCl.In addition,mice were removed according to the requirements.Finally,we got 8 mice in each group.The following parameters were compared:body weight,Lee's index and levels of the serum lipid.The BDNF expression levels in hippocampal tissue were measured using western blotting.Results At the 8th weekend,the body weight of the model and normal groups was(49.01±2.47)and(41.27±3.28)g;the Lee's indexes were(357.14±9.24)and(330.15±7.37)g1/3·cm-1;triglyceride levels were(1.37±0.52)and(0.73±0.31)mmol·L-1;total cholesterol levels were(2.98±0.18)and(1.98±0.30)mmol·L-1;low-density lipoprotein levels were(0.31±0.03)and(0.24±0.02)mmol·L-1;high-density lipoprotein levels were(2.70±0.15)and(1.98±0.40)mmol·L-1;the differences were statistically significant(P＜0.05,P＜0.01),which were consistent with the characteristics of the central obesity model.The BDNF protein expression levels in the hippocampus of the model and normal groups were 6.02 x 104±626.53 and 7.04 x 104±1 440.81,which has statistically significant(P＜0.01).Conclusion The cognitive function of central obese mice may be decreased by down-regulating the expression of BDNF in hippocampus.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective:To describe the current status and trends in the outcomes and care practices of extremely preterm infants at 22-25 weeks′ gestation age from the Chinese Neonatal Network (CHNN) from 2019 to 2021.Methods:This cross-sectional study used data from the CHNN cohort of very preterm infants. All 963 extremely preterm infants with gestational age between 22-25 weeks who were admitted to neonatal intensive care units (NICU) of the CHNN from 2019 to 2021 were included. Infants admitted after 24 hours of life or transferred to non-CHNN hospitals were excluded. Perinatal care practices, survival rates, incidences of major morbidities, and NICU treatments were described according to different gestational age groups and admission years. Comparison among gestational age groups was conducted using χ2 and Kruskal-Wallis tests. Trends by year were evaluated by Cochran-Armitage and Jonckheere-Terpstra tests for trend. Results:Of the 963 extremely preterm infants enrolled, 588 extremely preterm infants (61.1%) were male. The gestational age was 25.0 (24.4, 25.6) weeks, with 29 extremely preterm infants (3.0%), 88 extremely preterm infants (9.1%), 264 extremely preterm infants (27.4%), and 582 extremely preterm infants (60.4%) at 22, 23, 24, and 25 weeks of gestation age, respectively. The birth weight was 770 (680, 840) g. From 2019 to 2021, the number of extremely preterm infants increased each year (285, 312, and 366 extremely preterm infants, respectively). Antenatal steroids and magnesium sulfate were administered to 67.7% (615/908) and 51.1% (453/886) mothers of extremely preterm infants. In the delivery room, 20.8% (200/963) and 69.5% (669/963) extremely preterm infants received noninvasive positive end-expiratory pressure support and endotracheal intubation. Delayed cord clamping and cord milking were performed in 19.0% (149/784) and 30.4% (241/794) extremely preterm infants. From 2019 to 2021, there were significant increases in the usage of antenatal steroids, antenatal magnesium sulfate, and delivery room noninvasive positive-end expiratory pressure support (all P<0.05). Overall, 349 extremely preterm infants (36.2%) did not receive complete care, 392 extremely preterm infants (40.7%) received complete care and survived to discharge, and 222 extremely preterm infants (23.1%) received complete care but died in hospital. The survival rates for extremely preterm infants at 22, 23, 24 and 25 weeks of gestation age were 10.3% (3/29), 23.9% (21/88), 33.0% (87/264) and 48.3% (281/582), respectively. From 2019 to 2021, there were no statistically significant trends in complete care, survival, and mortality rates (all P>0.05). Only 11.5% (45/392) extremely preterm infants survived without major morbidities. Moderate to severe bronchopulmonary dysplasia (67.3% (264/392)) and severe retinopathy of prematurity (61.5% (241/392)) were the most common morbidities among survivors. The incidences of severe intraventricular hemorrhage or periventricular leukomalacia, necrotizing enterocolitis, and sepsis were 15.3% (60/392), 5.9% (23/392) and 19.1% (75/392), respectively. Overall, 83.7% (328/392) survivors received invasive ventilation during hospitalization, with a duration of 22 (10, 42) days. The hospital stay for survivors was 97 (86, 116) days. Conclusions:With the increasing number of extremely preterm infants at 22-25 weeks′ gestation admitted to CHNN NICU, the survival rate remained low, especially the rate of survival without major morbidities. Further quality improvement initiatives are needed to facilitate the implementation of evidence-based care practices.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective To investigate the spatiotemporal distribution characteristics and potential influencing factors of newly diagnosed echinococcosis cases in Qinghai Province from 2016 to 2022, so as to provide insights into the formulation of the echinococcosis control strategy in Qinghai Province. Methods The number of individuals screened for echinococcosis, number of newly diagnosed echinococcosis cases, number of registered dogs and number of stray dogs were captured from the annual reports of echinococcosis control program in Qinghai Province from 2016 to 2022, and the detection of newly diagnosed echinococcosis cases was calculated. The number of populations, precipitation, temperature, wind speed, sunshine hours, average altitude, number of year-end cattle stock, number of year-end sheep stock, gross domestic product (GDP) per capita, and number of village health centers in each county (district) of Qinghai Province were captured from the Qinghai Provincial Statistical Yearbook, and county-level electronic maps in Qinghai Province were downloaded from the National Platform for Common Geospatial Information Services. The software ArcGIS 10.8 was used to map the distribution of newly diagnosed echinococcosis cases in Qinghai Province, and the spatial autocorrelation analysis of newly diagnosed echinococcosis cases was performed. In addition, the spacetime scan analyses of number of individuals screened for echinococcosis, number of newly diagnosed echinococcosis cases and geographical coordinates in Qinghai Province were performed with the software SaTScan 10.1.2, and the spatial stratified heterogeneity of the detection of newly diagnosed echinococcosis cases was investigated with the software GeoDetector. Results A total of 6 569 426 residents were screened for echinococcosis in Qinghai Province from 2016 to 2022, and 5 924 newly diagnosed echinococcosis cases were found. The detection of newly diagnosed echinococcosis cases appeared a tendency towards a decline over years from 2016 to 2022 (χ² = 11.107, P < 0.01), with the highest detection in Guoluo Tibetan Autonomous Prefecture in 2017 (82.12/10⁵). There were spatial clusters in the detection of newly diagnosed echinococcosis cases in Qinghai Province from 2016 to 2018 (Moran’s I = 0.34 to 0.65, all Z values > 1.96, all P values < 0.05), and the distribution of newly diagnosed echinococcosis cases appeared random distribution from 2019 to 2022 (Moran’s I = −0.09 to 0.04, all Z values < 1.96, all P values > 0.05). Local spatial autocorrelation analysis showed high-high clusters and low-low clusters in the detection of new diagnosed echinococcosis cases in Qinghai Province from 2016 to 2022, and space-time scan analysis showed that the first most likely cluster areas of newly diagnosed echinococcosis cases in Qinghai Province from 2016 to 2022 were mainly distributed in Yushu Tibetan Autonomous Prefecture and Guoluo Tibetan Autonomous Prefecture. GeoDetector-based analysis of the driving factors for the spatial stratified heterogeneity of detection of newly diagnosed echinococcosis cases in Qinghai Province showed that average altitude, number of village health centers, number of cattle and sheep stock, GDP per capita, annual average sunshine hours, and annual average temperature had a strong explanatory power for the spatial distribution of newly diagnosed echinococcosis cases, with q values of 0.630, 0.610, 0.600, 0.590, 0.588, 0.537 and 0.526, respectively. Conclusions The detection of newly diagnosed echinococcosis cases appeared a tendency towards a decline in Qinghai Province over years from 2016 to 2022, showing spatial clustering. Targeted control measures are required in cluster areas of newly diagnosed echinococcosis cases for further control of the disease.

Diffuse large B-cell lymphoma (DLBCL) is the most common type of non Hodgkin's lymphoma. The current treatment plan can significantly improve the prognosis of patients, but about 30%-40% of DLBCL patients still experience drug resistance and relapse after treatment. For patients with refractory/relapse DLBCL, clinical treatment remains difficult and their prognosis is poor. Allogeneic hematopoietic stem cell transplantation (allo-HSCT) remains one of the most important curative methods for refractory/relapse DLBCL patients. This article will review the role and progress of allo-HSCT in the treatment of refractory/relapse DLBCL.

Objective:To summarize the clinical features associated with respiratory syncytial virus (RSV) infection in patients following the hematopoietic stem cell transplant (HSCT) and exploring the risk factors for death.Methods:Patients who had RSV infection after undergoing HSCT from October 2023 to January 2024 in the hematology department of Peking University People’s Hospital were enrolled in the study. The clinical characteristics of the participating patients were summarized. The clinical characteristics of the surviving and the dying patients were compared, and the risk factors of death were analyzed by binary logistic regression.Results:Among the 43 RSV-positive HSCT patients, 20 (46.5%) were hypoxemic, six (14.0%) were admitted to the ICU for further treatment, four (9.3%) required tracheal intubation assisted ventilation, and seven patients (16.3%) died. A comparison of the clinical features of the surviving patients and the deceased patients demonstrated that the deceased patients had a lower PLT when infected with RSV [74.5 (8.0-348.0) ×10 9/L vs 15.0 (10.0-62.0) ×10 9/L, P=0.003], a higher incidence of simultaneous bacterial infections (85.7% vs 41.7%, P=0.046), and a higher rate of hematological recurrence (71.4% vs 13.9%, P=0.004). Hematological recurrence ( OR=15.500, 95% CI 2.336-102.848, P=0.005), influenza A viral infection ( OR=14.000, 95% CI 1.064-184.182, P=0.045), and low PLT at the time of RSV infection ( OR=0.945, 95% CI 0.894-0.999, P=0.048) were the factors associated with death following HSCT. Conclusion:Patients infected with RSV after undergoing HSCT have a poor prognosis, and active prevention and treatment of RSV in the autumn and winter requires urgent attention.