ObjectiveTo investigate the association between sarcopenia and short-term prognosis in patients with acute-on-chronic liver failure （ACLF）， to assess the value of Model for End-Stage Liver Disease （MELD）， MELD combined with serum sodium concentration （MELD-Na）， MELD 3.0， and Chinese Group on the Study of Severe Hepatitis B （COSSH）-ACLF Ⅱ score in predicting the 90-day prognosis of ACLF patients， and to analyze the predictive gain of sarcopenia over traditional prognostic scoring models. MethodsA retrospective study was conducted among 219 patients with ACLF who were hospitalized in The Affiliated Hospital of Inner Mongolia Medical University， No. 2 Hospital of Hohhot， Hohhot First Hospital， and Inner Mongolia People’s Hospital from July 2018 to July 2024. L3 skeletal muscle index （L3-SMI） was measured and calculated based on abdominal computed tomography images， and sarcopenia was diagnosed based on L3-SMI. According to 90-day prognosis， the patients with ACLF were divided into survival group with 124 patients and death group with 95 patients. The chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups； 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 multivariate Cox regression analysis （stepwise backward approach） was used to identify independent risk factors for 90-day mortality in ACLF patients. The Kaplan-Meier method was used for survival analysis， and the Log-rank test was used for comparison between groups. The receiver operating characteristic curve was plotted to evaluate the predictive performance of each model， and the DeLong test， bootstrap internal validation， net reclassification improvement （NRI）， and integrated discrimination improvement （IDI） were used to assess the predictive gain of sarcopenia. ResultsThe multivariate Cox regression analysis showed that presence of sarcopenia （hazard ratio ［HR］=3.385， 95% confidence interval ［CI］： 1.722 — 6.657， P<0.05）， older age （HR=1.036， 95%CI： 1.017 — 1.056， P<0.05）， elevated alkaline phosphatase （HR=1.006， 95%CI： 1.004 — 1.009， P<0.05）， elevated total bilirubin （HR=1.003， 95%CI： 1.001 — 1.005， P<0.05）， elevated potassium （HR=1.581， 95%CI： 1.160 — 2.155， P<0.05）， elevated serum creatinine （HR=1.015， 95%CI： 1.007 — 1.024， P<0.05）， and prolonged prothrombin time （HR=1.035， 95%CI： 1.015 — 1.055， P<0.05） were independent risk factors for 90-day mortality in ACLF patients， while elevated albumin （HR=0.885， 95%CI： 0.837 — 0.935， P<0.05） was an independent protective factor against 90-day mortality. MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ scores had an area under the ROC curve （AUC） of 0.569， 0.570， 0.632， and 0.659， respectively， for predicting the 90-day prognosis of ACLF patients， suggesting that these scores had unsatisfactory performance； after they were respectively combined with sarcopenia， the AUC was increased to 0.702， 0.687， 0.723， and 0.728， respectively. The DeLong test， NRI， and IDI analyses showed the combined models had significantly better predictive performance （all P<0.05）. ConclusionSarcopenia is an independent risk factor for 90-day mortality in patients with ACLF. Traditional scoring models have limited predictive performance for 90-day prognosis in ACLF patients， and the combination with sarcopenia significantly improves predictive value， suggesting that sarcopenia can be used as an important supplementary indicator for prognostic evaluation of ACLF in clinical practice.

Objective:To analyze the incidence, mortality, survival patterns, and distribution characteristics of modifiable risk factors for colorectal cancer in selected global regions.Methods:Secondary analysis was conducted using data from the GLOBOCAN database and previous literature. We described the number of cases and age-standardized rates (ASRs) of incidence and mortality for colorectal cancer in China, the United States, the United Kingdom, and globally in 2022 and 2020, with gender-stratified analysis. ASRs were calculated using Segi's world standard population. Temporal trends in 5-year net survival rates were compared across three periods (2000-2004, 2005-2009, 2010-2014) among countries. Regional distribution differences in colorectal cancer deaths attributable to modifiable risk factors by gender were assessed in China.Results:In 2022, global colorectal cancer incidence and mortality were estimated at 1.926 million new cases and 904 000 deaths. China accounted for 27% of both global incidence (517 000 cases) and mortality (240 000 deaths). China's age-standardized incidence rate (20.1 per 100 000) was lower than those of the United States (27.0 per 100 000) and the UK (30.9 per 100 000). However, China's mortality rate (8.6 per 100 000) exceeded that of the US (7.9 per 100 000) but was lower than the UK (11.8 per 100 000). Compared to 2020, China demonstrated significant mortality reductions in 2022: males declined from 14.8 to 10.9 per 100 000, females from 9.4 to 6.5 per 100 000. Five-year net survival rates in China improved across periods for colon cancer (51.4%, 55.6%, 57.6%) and rectal cancer (49.5%, 52.5%, 56.9%), yet remained consistently lower than US and UK rates. Modifiable risk factors contributed to 45.1% of male and 41.4% of female colorectal cancer deaths in China, with marked regional disparities.Conclusions:China exhibits higher colorectal cancer incidence and mortality than global averages, with survival gaps persisting compared to developed nations. Regionally tailored comprehensive prevention strategies are essential to reduce disease burden through risk factor modification and optimized clinical management.

Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

The identification and optimization of mutations in nanobodies are crucial for enhancing their thera-peutic potential in disease prevention and control.However,this process is often complex and time-consuming,which limit its widespread application in practice.In this study,we developed a work-flow,named Evolutionary-Nanobody(EvoNB),to predict key mutation sites of nanobodies by combining protein language models(PLMs)and molecular dynamic(MD)simulations.By fine-tuning the ESM2 model on a large-scale nanobody dataset,the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced.The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies.Additionally,we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations.MD simulations analyzed the energy changes caused by these mu-tations to predict their impact on binding affinity to the targets.The results showed that multiple mu-tations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target,further validating the potential of this workflow for designing and optimizing nanobody mutations.Additionally,sequence-based predictions are generally less dependent on structural absence,allowing them to be more easily integrated with tools for structural predictions,such as AlphaFold 3.Through mutation prediction and systematic analysis of key sites,we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes.The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

OBJECTIVES: To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application. Methods and. RESULTS: Recommendations were formulated based on literature review and expert group discussion, and consensus was reached following expert consultation. The consensus recommendations are comprehensive, covering the entire treatment procedures from preoperative assessment and preparation, surgical operation process, postoperative management and traditional Chinese medicine treatment to individualized treatment planning. The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain, reduced the use of opioid drugs, and significantly improved the quality of life and enhanced immune function of the patients. Postoperative follow-up suggested good treatment tolerance among the patients without serious complications. CONCLUSIONS The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy. The combined treatment has a high clinical value with a good safety profile for management of cancer pain.
Humans ; Medicine, Chinese Traditional ; Cancer Pain/therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Drug Delivery Systems ; Pain Management/methods* ; China

The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Objective:To analyze the incidence, mortality, survival patterns, and distribution characteristics of modifiable risk factors for colorectal cancer in selected global regions.Methods:Secondary analysis was conducted using data from the GLOBOCAN database and previous literature. We described the number of cases and age-standardized rates (ASRs) of incidence and mortality for colorectal cancer in China, the United States, the United Kingdom, and globally in 2022 and 2020, with gender-stratified analysis. ASRs were calculated using Segi's world standard population. Temporal trends in 5-year net survival rates were compared across three periods (2000-2004, 2005-2009, 2010-2014) among countries. Regional distribution differences in colorectal cancer deaths attributable to modifiable risk factors by gender were assessed in China.Results:In 2022, global colorectal cancer incidence and mortality were estimated at 1.926 million new cases and 904 000 deaths. China accounted for 27% of both global incidence (517 000 cases) and mortality (240 000 deaths). China's age-standardized incidence rate (20.1 per 100 000) was lower than those of the United States (27.0 per 100 000) and the UK (30.9 per 100 000). However, China's mortality rate (8.6 per 100 000) exceeded that of the US (7.9 per 100 000) but was lower than the UK (11.8 per 100 000). Compared to 2020, China demonstrated significant mortality reductions in 2022: males declined from 14.8 to 10.9 per 100 000, females from 9.4 to 6.5 per 100 000. Five-year net survival rates in China improved across periods for colon cancer (51.4%, 55.6%, 57.6%) and rectal cancer (49.5%, 52.5%, 56.9%), yet remained consistently lower than US and UK rates. Modifiable risk factors contributed to 45.1% of male and 41.4% of female colorectal cancer deaths in China, with marked regional disparities.Conclusions:China exhibits higher colorectal cancer incidence and mortality than global averages, with survival gaps persisting compared to developed nations. Regionally tailored comprehensive prevention strategies are essential to reduce disease burden through risk factor modification and optimized clinical management.

Objective:To investigate the pattern of Mesothelin(MSLN)-specific T-cell(CTLs)immune reconstitution after allogeneic hematopoietic stem cell transplantation.Methods:Two cases of Mesothelin-positive patients with acute myeloid leukemia(AML)were screened,and the number of MSLN-CTLs and its subpopulations,the expression of surface PD-1/CTLA-4/TIM-3 im-mune exhaustion molecules,and the functions of secreted cytokines TNF-α and IFN-γ were monitored by flow cytometry after trans-plantation.They were compared with WT1-CTLs and cytomegalovirus(CMV)CTLs.Meanwhile,the relationship between CTL recon-stitution and Minimal residual disease(MRD)and leukemia recurrence was analyzed.Results:After transplantation,MSLN-CTLs,WT1-CTLs and CMV-CTLs can be detected,and intracellular factors were secreted.The phenotypes of WT1 specific CD8+T cells,MSLN specific CD8+T cells and CMV specific CD8+T cells were mainly TEM subsets and TEMRA subsets,and the TEM subsets of CMV specific CD8+T cells were more obvious.Compared with CMV-CTLs,the proportions of T Naive,TCM and TEMRA subsets were relatively higher in MSLN-specific CD8+T cells and WT1-specific CD8+T cells,and the expression levels of PD-1,CTLA-4 and TIM-3 were higher in MSLN-CTLs and WT1-CTLs.The dynamic changes of MSLN-CTLs and WT1-CTLs after transplantation were related to leukemia load and the chimerism rate of donor and recipient.Conclusion:After allogeneic hematopoietic stem cell transplantation,im-mune recovery to MSLN is found,which is different from WT1-CTLs and CMV-CTLs.

Objective:To investigate the pattern of Mesothelin(MSLN)-specific T-cell(CTLs)immune reconstitution after allogeneic hematopoietic stem cell transplantation.Methods:Two cases of Mesothelin-positive patients with acute myeloid leukemia(AML)were screened,and the number of MSLN-CTLs and its subpopulations,the expression of surface PD-1/CTLA-4/TIM-3 im-mune exhaustion molecules,and the functions of secreted cytokines TNF-α and IFN-γ were monitored by flow cytometry after trans-plantation.They were compared with WT1-CTLs and cytomegalovirus(CMV)CTLs.Meanwhile,the relationship between CTL recon-stitution and Minimal residual disease(MRD)and leukemia recurrence was analyzed.Results:After transplantation,MSLN-CTLs,WT1-CTLs and CMV-CTLs can be detected,and intracellular factors were secreted.The phenotypes of WT1 specific CD8+T cells,MSLN specific CD8+T cells and CMV specific CD8+T cells were mainly TEM subsets and TEMRA subsets,and the TEM subsets of CMV specific CD8+T cells were more obvious.Compared with CMV-CTLs,the proportions of T Naive,TCM and TEMRA subsets were relatively higher in MSLN-specific CD8+T cells and WT1-specific CD8+T cells,and the expression levels of PD-1,CTLA-4 and TIM-3 were higher in MSLN-CTLs and WT1-CTLs.The dynamic changes of MSLN-CTLs and WT1-CTLs after transplantation were related to leukemia load and the chimerism rate of donor and recipient.Conclusion:After allogeneic hematopoietic stem cell transplantation,im-mune recovery to MSLN is found,which is different from WT1-CTLs and CMV-CTLs.

Objective:To explore the adaptive index of pulmonary rehabilitation self-efficacy and its influencing factors in elderly patients with chronic obstructive pulmonary disease (COPD), and to provide reference for formulating and implementing effective intervention strategies.Methods:This was a cross-sectional study. The convenience sampling method was used to select 279 elderly COPD patients hospitalized in the Department of Respiratory and Critical Care Medicine of Xinjiang Uygur Autonomous Region People′s Hospital from March 2023 to June 2023. They were investigated by the general information questionnaire, Chinese version of Pulmonary Rehabilitation Adapted Index of Self-Efficacy, Social Support Scale and Frailty Phenotype. Multiple linear stepwise regression analysis was used to explore the influencing factors of pulmonary rehabilitation self-efficacy in elderly patients with COPD.Results:The age distribution of 279 elderly COPD patients was 117 cases aged 60-69, 102 cases aged 70-79, and 60 cases aged ≥ 80, including 134 males and 145 females. The total score of Chinese version of Pulmonary Rehabilitation Adapted Index of Self-Efficacy in elderly COPD patients was (24.95 ± 5.20) points, and the highest dimension of item mean score was exercise self-efficacy (1.99 ± 0.62) points, while the lowest mean score was strain capacity (1.88 ± 0.44) points. Multiple linear regression analysis showed that educational level, pulmonary function grade, COPD assessment test (CAT) score, social support level and frailty were influencing factors of pulmonary rehabilitation self-efficacy in elderly COPD patients ( t values were - 9.01-3.36, all P<0.05), accounting for 43.4% of the total variation. Conclusions:The self-efficacy adaptation index of pulmonary rehabilitation in the elderly patients with COPD is at the middle-lower level. Health care providers should fully understand the relevant influencing factors, and establish targeted and individualized pulmonary rehabilitation intervention strategies on these basis to maximize the subjective initiative of patients.