Elevated glucose metabolism is a prominent characteristic of fibroblast-like synoviocytes (FLS) in rheumatoid arthritis (RA). However, the efficacy of inhibiting a single target of glucose metabolism in FLS using small molecular inhibitors is limited for RA treatment. Herein, the synergistic inhibition of FLS' survival, proliferation, and activation by combining two glucose metabolism inhibitors, diclofenac (DC) and lonidamine (LND) was first verified. Subsequently, DC and LND were individually conjugated to cystamine-modified hyaluronic acid (HA) to prepare two polymer-prodrug conjugates. A HAP-1 peptide-modified dual polymer-prodrug conjugates-assembled nanoparticles system (^HAP-1NP_DC+LND) was further tailored in the optimal synergistic ratio for targeted and synergistic metabolic modulation of FLS to alleviate RA symptoms. Upon targeted uptake by FLS in inflamed joints, ^HAP-1NP_DC+LND released DC and LND within the intracellular reductive microenvironment, where DC hinders glucose uptake and LND suppresses glycolytic enzymes to eliminate FLS synergistically. Additionally, the secretion of lactic acid and pro-inflammatory factors from FLS were reduced, thereby disrupting the crosstalk between FLS and pro-inflammatory macrophages. Finally, ^HAP-1NP_DC+LND demonstrated promising efficacy in a mouse model of collagen-induced arthritis (CIA). Overall, this research provides valuable insights into novel therapeutic strategies for the safe and effective of treatment RA through targeted and synergistic metabolic modulation of FLS.

Objective To explore the expression levels of CD33⁺ myeloid-derived suppressor cell (MDSC)-mediated T lymphocyte function and related inflammatory factors secreted by T lymphocyte subsets in patients with cervical cancer, and to analyze their correlation with the treatment efficacy of ¹²⁵I particle implantation combined with arterial chemoembolization, as well as predictive value for treatment outcomes and interaction effects. Methods From January 1st, 2021 to January 1st, 2024, our hospital admitted 152 patients with advanced cervical cancer, who were confirmed by pathological examination. All patients received uterine artery chemoembolization combined with ¹²⁵I particle implantation. The predictive value of CD33⁺MDSC levels for clinical treatment response in cervical cancer was assessed using receiver operating characteristic (ROC) curve analysis. Multivariate logistic regression analysis was performed to evaluate both multiplicative and additive interactions between CD33⁺MDSC and T lymphocytes in predicting clinical treatment failure of cervical cancer. Kaplan Meier method was used to analyze the survival differences between cervical cancer patients with high and low CD33⁺MDSC expression levels. Results Compared with the effective group, patients in the ineffective group had decreased expression levels of CD3⁺ T lymphocyte, CD4⁺ T lymphocyte, interleukin 2 (IL-2) and interferon γ (IFN-γ), while showing increased expression levels of CD33⁺MDSC, CD8⁺ T lymphocyte, IL-4 and IL-6, along with increased tumor necrosis factor α (TNF-α) levels, larger maximum tumor diameters, and a higher incidence of lymph node metastasis. The expression levels of CD33⁺MDSCs demonstrated good predictive performance for treatment efficacy in cervical cancer patients. The high CD33⁺MDSC expression group had a significantly shorter overall survival (OS) than the low CD33⁺MDSC expression group (6.0±1.0 months vs. 12.0±1.2 months; t=33.280). The interaction analysis revealed that CD33⁺MDSCs and CD8⁺ T lymphocytes were highly expressed, while CD3⁺ and CD4⁺ T lymphocytes were lowly expressed, which was associated with an increased risk of clinical treatment failure in cervical cancer patients. Conclusion CD33⁺MDSCs can inhibit CD3⁺ and CD4⁺ T lymphocytes. It can upregulate the expression of CD8⁺ T lymphocytes, form an immunosuppressive microenvironment, and reduce the treatment response rate of ¹²⁵I particle implantation combined with arterial chemoembolization. CD33⁺MDSCs may serve as an independent biomarker for predicting the therapeutic efficacy and poor prognosis.
Humans ; Female ; Uterine Cervical Neoplasms/immunology* ; Middle Aged ; Chemoembolization, Therapeutic/methods* ; Sialic Acid Binding Ig-like Lectin 3/immunology* ; Adult ; T-Lymphocytes/immunology* ; Aged ; Treatment Outcome

OBJECTIVES: To analyze sex and age distribution of global disease burden of calcific aortic valve disease (CAVD) from 1990 to 2021. METHODS: CAVD data during 1990-2021 were obtained from the IHME website for Global Burden of Disease (GBD). The prevalence, mortality, years lived with disability (YLDs), and disability-adjusted life years (DALYs) were analyzed by gender and age groups. Joinpoint regression was used to calculate annual percentage change (APC) and average annual percentage change (AAPC). RESULTS: In 2021, there were 13.32 million CAVD patients and 142 000 deaths caused by CAVD globally. Age-standardized prevalence was higher in males (193.2/10⁵) than that in females (128.9/10⁵). Patients in 65-<85 age group accounted for 64.0% of total cases, while those ≥85 years old accounted for 16.1%. From 1990 to 2021, prevalence increased in both sexes with an AAPC of 0.72% for males and 0.57% for females, respectively. Prevalence grew fastest from 2000 to 2010, slowed thereafter, and declined from 2015 to 2021. In <65 years old, the mortality of males was 2.4 times higher than that of females, while in ≥85 years old, mortality of females (117.3/10⁵) exceeded that of males (99.1/10⁵). YLD rates increased with age, and were higher in males for all age groups. DALY rates decreased overall but increased in ≥85 years old, with a greater increase in females. CONCLUSIONS There are significant gender and age disparities in global disease burden of CAVD, with the elderly, especially super-elderly females deserving particular attention. It is recommended to develop personalized intervention strategies for these populations.
Humans ; Male ; Female ; Aged ; Calcinosis/mortality* ; Prevalence ; Global Burden of Disease ; Aged, 80 and over ; Middle Aged ; Aortic Valve/pathology* ; Aortic Valve Stenosis/epidemiology* ; Age Distribution ; Adult ; Disability-Adjusted Life Years ; Sex Distribution ; Global Health ; Aortic Valve Disease/epidemiology* ; Sex Factors

Objective:To investigate the relationship between the changes in extracellular vesicles (EVs) size distribution before and after cardiopulmonary bypass (CPB) cardiac surgery and postoperative coagulation function.Methods:A total of 103 patients undergoing cardiac surgery with CPB were enrolled. Venous blood samples were collected at preoperation, postoperative 12 h and 3 days. Additionally, 50 age- and gender-matched healthy volunteers served as a control group. EVs were isolated using gradient centrifugation, and their size distribution was assessed by dynamic light scattering (DLS). The relationship between EV size characteristics, including peak diameter, peak height, and interquartile range( IQR), and postoperative coagulation function was analyzed. Results:Compared to patients with normal postoperative coagulation function, those with postoperative coagulation dysfunction had lower size at peak and IQR, and significantly higher peak intensity. Logistic regression analysis indicated that elevated peak intensity and lower size at peak and IQR were risk factors for coagulation dysfunction. The area under the curve ( AUC) for diagnosing coagulation dysfunction with 12 h postoperative EVs peak intensity was 0.76, with a positive predictive value of 85% at the optimal cutoff of 8.2; the AUC for IQR was 0.84, with a sensitivity of 83%, specificity of 82%, and negative predictive value of 86% at the optimal cutoff of 125.05 nm. Conclusion:The size distribution of circulating EVs show a correlation with coagulation function after cardiac surgery with CPB and may serve as a novel biomarker to predict postoperative coagulation dysfunction.

Virus-related lymphoma exhibits a dual nature as both a hematologic malignancy and a viral infectious disease， making it more resistant to treatment and associated with poorer prognosis. This paper analyzes the understanding and therapeutic advantages of traditional Chinese medicine （TCM） in virus-related lymphoma. It proposes a TCM-based approach centered around syndrome differentiation， using standardized measurements of the overall TCM condition， multi-omics research of hematologic tumors， and artificial intelligence technologies to identify the "pre-condition" of virus-related lymphoma. A risk warning model will be established to early identify high-risk populations with viral infections that may develop into malignant lymphoma， thereby establishing a risk warning system for virus-related lymphoma. At the same time， a TCM health management approach will be applied to manage and regulate virus-related lymphoma， interrupting its progression and forming a human-centered， comprehensive， continuous health service model. Based on this， a standardized， integrated clinical prevention and treatment decision-making model for virus-related lymphoma， recognized by both Chinese and western medicine， will be established to provide TCM solutions for primary prevention of major malignant tumors.

Objective: To investigate the distribution of traditional Chinese medicine (TCM) syndromes and syndrome elements in lymphoma, as well as the correlation between TCM syndromes and Western clinical indicators, in order to analyze associations between TCM syndromes and these indicators. Methods: From January 2023 to May 2024, 216 patients with lymphoma who met the inclusion criteria in the Department of Hematology, Third People′s Hospital Affiliated to Fujian University of Traditional Chinese Medicine were enrolled. Four diagnostic methods were applied to perform TCM syndrome differentiation and extract syndrome elements. The correlations between various syndromes and blood test indicators of lactate dehydrogenase (LDH), β2-microglobulin (β2-MG), immunoglobulin G (IgG), immunoglobulin M (IgM), immunoglobulin A (IgA), white blood cell (WBC), hemoglobin (Hb), platelet count (PLT), neutrophil (NEUT), immunohistochemical markers of B-cell lymphoma-6 (BCL6), B-cell lymphoma-2 (BCL2), proto-oncogene MYC, and Ki67 protein expression, Ann Arbor staging, international prognostic index (IPI) score, bone marrow infiltration, concurrent infections during chemotherapy, and post-chemotherapy bone marrow suppression rate were analyzed. Results: Five TCM syndromes, ranked by frequency, were syndromes of yin deficiency with phlegm accumulation(41.67%), qi depression with phlegm obstruction(30.56%), cold-phlegm congelation and stagnation(12.96%), phlegm-blood stasis toxin(12.04%), and lingering pathogen due to deficient vital qi(2.77%). Yin deficiency(50.93%) and phlegm(45.37%) were the more prevalent syndrome elements. The TCM syndromes were correlated with β2-MG, PLT, MYC, BCL2/MYC, Ki67 protein expression, and bone marrow infiltration (P<0.05). No statistically significant differences were observed in Ann Arbor staging or IPI score across the syndromes. Compared to the syndrome of cold-phlegm congelation and stagnation, the syndrome of qi depression with phlegm obstruction exhibited higher levels of NEUT, MYC, BCL2/MYC, and Ki67 protein expression, as well as a higher rate of post-chemotherapy bone marrow suppression (P<0.05); the syndrome of phlegm-blood stasis toxin showed higher MYC and BCL2/MYC protein expression and a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05); the syndrome of yin deficiency with phlegm accumulation demonstrated higher MYC and BCL2/MYC protein expression and bone marrow infiltration rates, whereas PLT level was lower (P<0.05); the syndrome of lingering pathogen due to deficient vital qi had higher MYC, BCL2/MYC, and Ki67 protein expression levels, as well as a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05). Compared to the syndrome of qi depression with phlegm obstruction, the syndrome of phlegm-blood stasis toxin exhibited lower Ki67 protein expression (P<0.05); the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, bone marrow infiltration rate, and rate of concurrent infections during chemotherapy, whereas PLT and NEUT levels and the rate of post-chemotherapy bone marrow suppression rate were lower (P<0.05). Compared to the syndrome of phlegm-blood stasis toxin, the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, whereas NEUT and the rate of post-chemotherapy bone marrow suppression were lower(P<0.05); the syndrome of lingering pathogen due to deficient vital qi exhibited a higher Ki67 protein expression (P<0.05). Compared to the syndrome of yin deficiency with phlegm accumulation, the syndrome of lingering pathogen due to deficient vital qi also showed a higher Ki67 protein expression(P<0.05). Conclusion The syndrome of yin deficiency with phlegm accumulation is relatively common in lymphoma. There is a correlation between TCM syndromes and Western medicine clinical indicators. The presence of heat signs in the syndromes may indicate active disease and poor prognosis, while the presence of strong pathogenic factors and weak vital qi in the syndromes may indicate a severer chemotherapy-related bone marrow suppression.

Objective:To analyze the risk factors for prolonged hospital stay in inpatients based on data from nutritionDay worldwide survey 2020 to 2022 conducted in China and to construct and validate a prediction model for clinical decision-making.Methods:This study was a retrospective study, the data source was the China's multi-centered nutritionalDay worldwide database for nutrition status in inpatients. A total of 2 335 cases registered in the database from 2020 to 2022 were selected for the study, comprising individuals aged 18 and above, with valid response for the 30-day prognosis questionnaires, and with complete clinical data. The demographic characteristics, nutrition-related indicators, disease information, and outcome indicators of the participants were collected. Based on the 75th percentile of hospitalization duration, the participants were divided into the prolonged length of stay group (570 cases) and the normal length of stay group (1 765 cases). A nomogram prediction model was constructed using the least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate Logistic regression analysis. Area under the curve ( AUC), calibration curve, Hosmer-Lemeshow test, and clinical decision curve were used to verify discriminative ability, goodness-of-fit, and clinical effectiveness of the model. Results:Seven independent risk factors for prolonged length of stay were identified, namely body mass index (BMI), whether surgery occurred during hospitalization, intensive care unit admission during hospitalization, Nutrition Risk Screening 2002 score, ambulatory independence, previous hospitalization frequency, and weight loss in the past 3 months. A nomogram prediction model was established accordingly. The AUC of training set was 0.783 (95% CI: 0.759 - 0.807), and the AUC of validation set was 0.797 (95% CI: 0.746 - 0.849). Calibration curves and Hosmer-Lemeshow tests ( P=0.735 for training set, P=0.431 for validation set) indicated good model fitting. The clinical decision curve demonstrated the favorable clinical utility of the nomogram. Conclusions:BMI, whether they had surgery during hospitalization, whether they were admitted to the ICU during hospitalization, NRS 2002 score, whether they were able to walk independently, number of previous hospitalizations, and weight loss in the past 3 months were risk factors for longer stay in Chinese hospitalized patients. The nomogram prediction model developed in this study can forecast the risk of prolonged length of stay among Chinese inpatients, providing a basis for early identification and intervenion in high-risk patients.

Objective:The 5th edition of the WHO classification of central nervous system (CNS) tumors in 2021 made significant revisions to the nomenclature and grading system of solitary fibrous tumors (SFT). This study aimed to explore the changes in the grading of CNS SFT and its relationship with clinical pathological features and prognosis.Methods:This study retrospectively reviewed the clinical and pathological data of 82 patients with CNS SFT diagnosed at the First Affiliated Hospital of Fujian Medical University from March 2006 to June 2021, reassessed their grading according to the WHO 5th edition CNS tumor classification, and conducted a comprehensive analysis of their histological morphology, immunohistochemical characteristics, and clinical imaging data.Results:The age of the patients ranged from 21 to 83 years, with a median age of 48 years. Follow-up was completed for 82 patients, during which 10 patients died, 24 recurred, and 5 metastasized. MRI imaging showed that SFT exhibited isointense signals on T1-weighted imaging (T1WI) and complex signals on T2-weighted imaging (T2WI), with signal intensity decreasing as the content of collagen fibers increased. According to the 2021 grading criteria, there was a significant change in the grading of SFT, with the number of grade 1 SFT increasing from 10 cases under the 2016 standard to 39 cases, while the number of grade 2 and 3 SFT decreased accordingly. The 2016 grading system was significantly correlated with the overall survival (OS) of patients ( P=0.009), while the 2021 grading system did not reach statistical significance. Both grading systems were correlated with histological phenotype, Ki-67 index, mitotic figures, and necrosis ( P＜0.05). All cases expressed STAT6, and showed varying degrees of expression of vimentin, CD99, BCL-2, and CD34. The staining intensity of type Ⅳ collagen fibers, as analyzed semi-quantitatively, was correlated with the OS of the patients ( P=0.017). Conclusions:The new grading system for CNS SFT has undergone significant changes, and its association with OS requires further validation. In-depth study of the content and fine structure of collagen fibers in SFT may have important clinical significance for the prognosis assessment and the formulation of treatment plans for patients. Moreover, quantitative analysis of T2WI signal intensity may provide a new method for preoperative preliminary assessment of the collagen fiber content in SFT.

Purpose To analyze and discuss the clinicopathological,molecular pathological characteristics,as well as diagnostic and prognostic features of pleomorphic xanthoastrocytoma(PXA)according to the new WHO classifi-cation.Methods 79 cases of PXA were collected to analyze their pathological and clinical data.Immunohistochemis-try using the EnVision method was employed to detect the expression of CD34,ATRX,Rb,Olig-2,H3K27M,H3K27me3,IDH1 R132H,BRAF VE1 and Ki67.Sanger sequencing was used to detect mutations in H3F3A and IDH1/2.Fluorescence quantitative PCR was used to detect the BRAF V600E mutation and TERT promoter region al-terations.Fluorescence in situ hybridization(FISH)was used to detect CDKN2A and EGFR alterations.The relation-ship between clinical,pathological,molecular genetics data,and prognosis was analyzed.Results The patients'ages ranged from 9 to 69 years,with an average age of 36.4 years.Most tumors were located in the temporal lobe,frontal lobe and parietal lobe.Among the 79 cases,42 were classified as grade 2 PXA and 37 as grade 3 PXA.The tumor cells exhibited pleomorphic changes,with perivascular lymphocytic sheaths and eosinophilic bodies frequently ob-served.Grade 3 PXA exhibited more mitotic figures(average of 11.8/10 HPF),and was usually accompanied by nec-rosis,focal marginal infiltration and microvascular proliferation.Immunohistochemistry and molecular characteristics revealed frequent positivity for CD34,BRAF V600E mutation(68.1％),and CDKN2A homozygous deletion(36.8％)in PXA.Some cases showed TERT gene mutation and absent Rb expression.Univariate survival analysis in-dicated that necrosis,focal marginal infiltration,and CNS WHO grade were related to overall survival,while focal infil-tration and CNS WHO grade were the independent risk factors.Conclusion The prognosis of CNS WHO grade 3 PXA is wrose than that of grade 2 PXA.Accurate diagnosis of PXA requires the combination of the morphological features,immunohistochemical staining,and multiple molecular tests.

Objective:To analyze the risk factors for prolonged hospital stay in inpatients based on data from nutritionDay worldwide survey 2020 to 2022 conducted in China and to construct and validate a prediction model for clinical decision-making.Methods:This study was a retrospective study, the data source was the China's multi-centered nutritionalDay worldwide database for nutrition status in inpatients. A total of 2 335 cases registered in the database from 2020 to 2022 were selected for the study, comprising individuals aged 18 and above, with valid response for the 30-day prognosis questionnaires, and with complete clinical data. The demographic characteristics, nutrition-related indicators, disease information, and outcome indicators of the participants were collected. Based on the 75th percentile of hospitalization duration, the participants were divided into the prolonged length of stay group (570 cases) and the normal length of stay group (1 765 cases). A nomogram prediction model was constructed using the least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate Logistic regression analysis. Area under the curve ( AUC), calibration curve, Hosmer-Lemeshow test, and clinical decision curve were used to verify discriminative ability, goodness-of-fit, and clinical effectiveness of the model. Results:Seven independent risk factors for prolonged length of stay were identified, namely body mass index (BMI), whether surgery occurred during hospitalization, intensive care unit admission during hospitalization, Nutrition Risk Screening 2002 score, ambulatory independence, previous hospitalization frequency, and weight loss in the past 3 months. A nomogram prediction model was established accordingly. The AUC of training set was 0.783 (95% CI: 0.759 - 0.807), and the AUC of validation set was 0.797 (95% CI: 0.746 - 0.849). Calibration curves and Hosmer-Lemeshow tests ( P=0.735 for training set, P=0.431 for validation set) indicated good model fitting. The clinical decision curve demonstrated the favorable clinical utility of the nomogram. Conclusions:BMI, whether they had surgery during hospitalization, whether they were admitted to the ICU during hospitalization, NRS 2002 score, whether they were able to walk independently, number of previous hospitalizations, and weight loss in the past 3 months were risk factors for longer stay in Chinese hospitalized patients. The nomogram prediction model developed in this study can forecast the risk of prolonged length of stay among Chinese inpatients, providing a basis for early identification and intervenion in high-risk patients.