Despite the remarkable clinical efficacy achieved by immune checkpoint blockade(ICB)and adoptive T cell therapy,the majority of patients with solid tumors still fail to achieve long-term responses to immunotherapy.One important reason is the complex metabolic patterns and inhibitory signals within the tumor microenvironment(TME),which induce metabolic reprogramming in immune cells and thereby impair their anti-tumor efficacy.This review summarizes the metabolic preferences of CD8+T cells across various differentiation states,explores the metabolic changes that occur during their interaction with tumor cells and the TME,and discusses how these metabolic changes affect differentiation,function,and stemness of CD8+T cells.Additionally,strategies that target metabolic molecules or pathways are highlighted to enhance the antitumor ability of CD8+T cells,thereby improving the efficacy of chimeric antigen receptor gene-modified T lymphocyte(CAR-T cell)immunotherapy and ICB therapy.

In order to establish a method for the detection of serum antibodies to donkey-derived e-quine coronavirus(ECoV),recombinant ECoV N protein was expressed in E.coli system,purified by nickel column affinity chromatography and identified by Western blot.After optimizing the re-action conditions,the indirect ELISA(iELISA)detection method was established using the puri-fied recombinant protein as coating antigen and used to detect 143 clinical serum samples.The re-sults showed that the recombinant N protein,which has good reaction activity with serum antibod-y,was successfully expressed.The optimum conditions of the established iELISA method were as follows:the amount of antigen coated was 0.2 μg/well and overnight at 4 ℃,10％skimmed milk powder solution was sealed at 37℃ for 1.5 h,the dilution concentration of serum was 1∶200,and the enzyme-labeled secondary antibody diluted at 1∶10 000.The sensitivity test results showed that the positive serum could be diluted to 1∶6 400.The specificity test results showed that all an-tibodies to several donkey pathogens were negative.The repetitive test results showed that the in-tra-and inter-batch coefficients of variation were 2.90％-6.12％and 2.29％-7.88％respectively.The positive rate of clinical donkey serum was 57.3％.The iELISA established in this study pro-vides a technical support for epidemiological investigation and antibody surveillance.

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BACKGROUND:Some research has suggested that regulation of gut microbiota may influence the course of intervertebral disc degeneration.However,the causal relationship of gut microbiota on intervertebral disc degeneration is unknown.OBJECTIVE:To assess the potential causal relationship between gut microbiota and intervertebral disc degeneration using a Mendelian randomization method.METHODS:Genome-wide association analysis summary statistics for 473 gut microbiota and genome-wide association analysis summary data for intervertebral disc degeneration from the R11 of the FinnGen database(46 205 cases of intervertebral disc degeneration and 322 314 controls)from the most recent publicly available publication were applied.Inverse variance weighting,MR-Egger regression,weighted median,weighted modeling,and simple modeling were used to investigate the causal relationship between gut microbiota and intervertebral disc degeneration.Sensitivity analyses were used to test whether the results of Mendelian randomization analyses were reliable.Reverse Mendelian randomization was performed with all gut microbiota as the outcomes for effect analysis and sensitivity analysis.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighting method of the forward Mendelian randomization method showed that the order Trichosporonaceae,the family UBA-6960,the family Anaerobes thermophilus,the family Salmonellaceae,the genus Pseudomonas tufts,the species Gordonella and the species Euclidia showed a positive correlation with intervertebral disc degeneration.The order Spirochaetes,the order Pseudomonas,the family Spirochaetaceae,the genus CAG-776,the genus Helicobacter,the species CAG-448 sp003150135,the species CAG-776 sp000438195,the species Brautella-A sp000285855 and the species Hanson's Brautella showed a negative correlation with intervertebral disc degeneration.(2)The results of reverse Mendelian randomization showed that intervertebral disc degeneration was positively correlated with the genus Bartonella rosea,the genus Geobacillus C,the species Escherichia fumigatus,the species Propionibacterium fumigatus,the species UBA-1777 sp900319835,the species Pseudomonas aeruginosa and the species Bacillus subtilis,while negatively correlated with the species Streptomyces mingoldii,the species Prevotella sp000434975,the species Brault's A sp000285855,the species CAG-194 sp002441865 and the species CAG-590 sp000431135.(3)No heterogeneity or horizontal pleiotropy was found in the two-way sensitivity analysis.(4)The results described above indicate that the causal relationship between gut microbiota and intervertebral disc degeneration based on the Finnish database contributes to the exploration on new biomarkers for the early prediction and treatment of intervertebral disc degeneration in clinical practice.In addition,the establishment of a large database and the integration of medical data from multiple centers can be drawn upon in biomedical research in China to provide a solid foundation for studying the relationship between gut microbiota and intervertebral disc degeneration.We will strengthen communication and cooperation with research teams in other countries to jointly promote the research on the relationship between gut microbiota and diseases and contribute to the development of global medicine.

Objective:To investigate the effect of bone morphogenetic protein-9(BMP9)overexpression on inflammatory response and apoptosis of alveolar epithelial cells induced by lipopolysaccharide(LPS).Methods:A549 cells were stimulated with 0.1 μg/ml LPS,expressions and changes of BMP9 protein at different time points(LPS stimulation for 0 h,6 h,12 h,24 h)were detected by Western blot.Expression of BMP9 in A549 cells was up-regulated by transfection of BMP9 plasmid,and the transfection efficiency was verified by Western blot and qPCR.After 12 h of LPS stimulation,levels of inflammatory factors TNF-α,IL-6,IL-1β in cell supernatant were detected by ELISA,expressions of anti-apoptotic protein(Bcl-2)and pro-apoptotic protein(Bax)were detected by Western blot,and apoptosis of cells was detected by TUNEL staining.Results:With the extension of LPS stimulation time,expression of BMP9 was down-regulated.Overexpression of BMP9 successfully up-regulated expression of BMP9 in A549 cells.LPS stimulation promoted secretions of TNF-α,IL-6 and IL-1β from A549 cells,increased apoptosis,promoted Bcl-2 expression while inhibited Bax expression.Overexpression of BMP9 inhibited TNF-α,IL-6 and IL-1β releasing,decreased apoptosis,inhibited Bcl-2 expression,while promoted Bax expression.Conclusion:In LPS-stimulated A549 cells,BMP9 expression is gradually decreased at a time-depen-dent manner.Overexpression of BMP9 can inhibit LPS-induced inflammatory response and apoptosis in A549 cells.

BACKGROUND: Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS. METHODS: This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide. RESULTS: Eighty-two patients were assigned to variant ( n  = 42) and wild type groups ( n  = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study. CONCLUSION: ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients. REGISTRATION NCT04410965, https://clinicaltrials.gov .
Humans ; Crotonates/adverse effects* ; Toluidines/adverse effects* ; Nitriles ; Hydroxybutyrates ; Female ; Male ; Adult ; ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics* ; Middle Aged ; Multiple Sclerosis, Relapsing-Remitting/genetics* ; Prospective Studies ; Young Adult ; Neoplasm Proteins/genetics* ; East Asian People

BACKGROUND: Spatiotemporal disparities exist in the disease burden of non-communicable diseases (NCDs) attributable to kidney dysfunction, which has been poorly assessed. The present study aimed to evaluate the spatiotemporal trends of the global burden of NCDs attributable to kidney dysfunction and to predict future trends. METHODS: Data on NCDs attributable to kidney dysfunction, quantified using deaths and disability-adjusted life-years (DALYs), were extracted from the Global Burden of Diseases Injuries, and Risk Factors (GBD) Study in 2019. Estimated annual percentage change (EAPC) of age-standardized rate (ASR) was calculated with linear regression to assess the changing trend. Pearson's correlation analysis was used to determine the association between ASR and sociodemographic index (SDI) for 21 GBD regions. A Bayesian age-period-cohort (BAPC) model was used to predict future trends up to 2040. RESULTS: Between 1990 and 2019, the absolute number of deaths and DALYs from NCDs attributable to kidney dysfunction increased globally. The death cases increased from 1,571,720 (95% uncertainty interval [UI]: 1,344,420-1,805,598) in 1990 to 3,161,552 (95% UI: 2,723,363-3,623,814) in 2019 for both sexes combined. Both the ASR of death and DALYs increased in Andean Latin America, the Caribbean, Central Latin America, Southeast Asia, Oceania, and Southern Sub-Saharan Africa. In contrast, the age-standardized metrics decreased in the high-income Asia Pacific region. The relationship between SDI and ASR of death and DALYs was negatively correlated. The BAPC model indicated that there would be approximately 5,806,780 death cases and 119,013,659 DALY cases in 2040 that could be attributed to kidney dysfunction. Age-standardized death of cardiovascular diseases (CVDs) and CKD attributable to kidney dysfunction were predicted to decrease and increase from 2020 to 2040, respectively. CONCLUSION NCDs attributable to kidney dysfunction remain a major public health concern worldwide. Efforts are required to attenuate the death and disability burden, particularly in low and low-to-middle SDI regions.
Humans ; Noncommunicable Diseases/epidemiology* ; Global Burden of Disease ; Disability-Adjusted Life Years ; Male ; Female ; Risk Factors ; Middle Aged ; Kidney Diseases/epidemiology* ; Bayes Theorem ; Adult ; Aged ; Global Health ; Quality-Adjusted Life Years

ObjectiveTo investigate the risk factors for pyogenic liver abscess （PLA） comorbid with sepsis by analyzing clinical features， and to construct a predictive model. MethodsA retrospective analysis was performed for 489 patients who were hospitalized and diagnosed with PLA in The Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2023， and according to the presence or absence of sepsis， they were divided into sepsis group with 306 patients and non-sepsis group with 183 patients. Related data were collected， including general information， laboratory markers， and outcome measures. The patients were further divided into a training set of 342 patients and a validation set of 147 patients at a ratio of 7∶3， and the training set was used for screening of variables and construction of a predictive model， while the validation set was used to test the performance of the model. An LASSO regression analysis was used for the screening of variables， and a multivariate Logistic regression analysis was used to construct the predictive model and plot a nomogram. The calibration curve， the receiver operating characteristic （ROC） curve， and the decision curve analysis were used for the validation of the model， and internal validation was performed for assessment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between groups. ResultsThere were significant differences between the sepsis group and the non-sepsis group in pulse rate， mean arterial pressure， duration pf symptoms， comorbidity of liver cirrhosis or malignant tumor， leukocyte count， neutrophil count， lymphocyte count， platelet count （PLT）， activated partial thromboplastin time， fibrinogen， C-reactive protein， aspartate aminotransferase， alanine aminotransferase， albumin， total bilirubin （TBil）， creatinine， potassium， and prognostic nutritional index （PNI） （all P<0.05）. In the training set， the LASSO regression analysis identified four predictive factors of pulse rate， PLT， TBil and PNI， and the multivariate Logistic regression analysis showed that pulse rate （odds ratio ［OR］=1.033， 95% confidence interval ［CI］： 1.006‍ ‍—‍ ‍1.061， P=0.018）， PLT （OR=0.981， 95%CI： 0.975‍ ‍—‍ ‍0.987， P<0.001）， TBil （OR=1.086， 95%CI： 1.053‍ ‍—‍ ‍1.125， P<0.001）， and PNI （OR=0.935， 95%CI： 0.882‍ ‍—‍ ‍0.988， P=0.019） were independent influencing factors for the risk of sepsis in patients with PLA. The model constructed based on these factors showed a good predictive ability， with an area under the ROC curve of 0.948 （95%CI： 0.923‍ ‍—‍ ‍0.973） in the training set and 0.912 （95%CI： 0.848‍ ‍—‍ ‍0.976） in the validation set. The decision curve analysis showed that the model has a good net benefit within the range of 0.3‍ ‍—‍ ‍0.9 for threshold probability. ConclusionThe nomogram prediction model constructed based on pulse rate， PLT， TBil， and PNI has a certain clinical value and can well predict the risk of sepsis in patients with PLA.

In order to establish a method for the detection of serum antibodies to donkey-derived e-quine coronavirus(ECoV),recombinant ECoV N protein was expressed in E.coli system,purified by nickel column affinity chromatography and identified by Western blot.After optimizing the re-action conditions,the indirect ELISA(iELISA)detection method was established using the puri-fied recombinant protein as coating antigen and used to detect 143 clinical serum samples.The re-sults showed that the recombinant N protein,which has good reaction activity with serum antibod-y,was successfully expressed.The optimum conditions of the established iELISA method were as follows:the amount of antigen coated was 0.2 μg/well and overnight at 4 ℃,10％skimmed milk powder solution was sealed at 37℃ for 1.5 h,the dilution concentration of serum was 1∶200,and the enzyme-labeled secondary antibody diluted at 1∶10 000.The sensitivity test results showed that the positive serum could be diluted to 1∶6 400.The specificity test results showed that all an-tibodies to several donkey pathogens were negative.The repetitive test results showed that the in-tra-and inter-batch coefficients of variation were 2.90％-6.12％and 2.29％-7.88％respectively.The positive rate of clinical donkey serum was 57.3％.The iELISA established in this study pro-vides a technical support for epidemiological investigation and antibody surveillance.