Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

OBJECTIVE To evaluate the efficacy， safety and cost-effectiveness of toripalimab （Tor） combined with chemotherapy （CT） in the treatment of locally advanced or metastatic non-small cell lung cancer （NSCLC）. METHODS PubMed， the Cochrane Library， Embase， Web of Science， CBM， CNKI， Wanfang Data， and Health Technology Assessment （HTA） related websites were searched to collect the HTA reports， systematic reviews/meta-analyses and pharmacoeconomic studies of Tor+CT in the treatment of locally advanced or metastatic NSCLC from database/website inception to March 31， 2025. After data extraction and quality evaluation， the results of the included studies were analyzed descriptively. RESULTS A total of eleven studies were included， involving five systematic reviews/meta-analyses， and six pharmacoeconomic studies. Among the five systematic reviews/ meta-analyses， two were of high quality， while there was one each of moderate， low， and very low quality. All six pharmacoeconomic studies were of good quality. In terms of efficacy， compared with CT， Tor+CT significantly improved patients’ progression-free survival （PFS） and overall survival （P＜0.05）. In addition， compared with ipilimumab+CT， durvalumab， durvalumab+tremelimumab and sugemalimab+CT， Tor+CT could also improve the PFS （P＜0.05）. In terms of safety， there was no significant difference in the incidence of grade≥3 adverse events between patients receiving Tor+CT and CT （P＞0.05）； while Tor+CT had a lower incidence of grade≥3 adverse E-mail： events， compared with camrelizumab+CT， pembrolizumab+ 3233255290@qq.com ipilimumab， nivolumab+CT and atezolizumab+CT （P＜0.05）.In terms of cost-effectiveness， Tor+CT treatment had certain cost-effectiveness advantages， compared with CT. CONCLUSIONS Compared with CT， other programmed death-1/programmed death-ligand 1 inhibitors alone， or their combination with CT， Tor+CT for the treatment of locally advanced or metastatic NSCLC has good efficacy， safety and cost-effectiveness.

Objective To investigate the inhibitory effects of Wumeiwan on oxidative stress injury of ulcerative colitis mice induced by dextran sulfate sodium(DSS)by regulating Kelch-like ECH related protein 1(Keap-1)-nuclear factor E2 related factor 2(Nrf2)/heme oxygenase-1(HO-1)signaling pathwayand.Methods Forty C57BL/6 mice were randomly divided into five groups:normal group,model group,positive control group,experimental-L,-H groups.UC mice model were induced by free access to 2％DSS water.Mice in normal and model group were orally administered with 0.9％NaCl,mice in positive control group were orally treated with Mesalazine solution(0.005 g·10 g-1·d-1),while mice in experimental groups were orally administered with Wumeiwan decoction at the dose of 0.13 and 0.26 g·10 g-1·d-1,respectively.All the drugs were administered for consecutive 7 days,1 times a day.The levels of disease activity index(DAI)and the colon length were scored.The levels of superoxide dismutase(SOD),catalase(CAT),cyclooxygenase-2(COX-2)and inducible nitric oxide synthase(iNOS)in colon tissue of mice were determined by real-time fluorescence quantitative polymerase chain reaction(qRT-PCR)method.The level of Keap-1,Nrf2,HO-1 proteins in colon tissue were determined by Western blot method.Results The levels of DAI of seventh day in normal group,positive control group,experimental-L,-H groups were 0、(2.62±0.33),(1.87±0.35),(1.87±0.35)and(1.58±0.35);the colon lengths were(8.16±0.47)、(5.98±0.24),(7.58±0.38),(7.33±0.24)and(7.48±0.51)cm;the SOD mRNA were 1.01±0.16、0.40±0.01,1.43±0.45,0.65±0.01 and 0.83±0.02;the CAT mRNA were 1.01±0.20、0.45±0.01,0.84±0.02,0.68±0.07 and 0.87±0.05;the COX-2 mRNA were 1.03±0.33、16.65±0.60,4.78±0.25,14.07±0.60 and 7.39±0.15;the iNOS mRNA were 1.04±0.40、20.71±0.66,8.09±0.93,15.44±0.68 and 11.66±0.06;the levels of Keap-1 were 1.22±0.16、1.10±0.05,1.18±0.05,1.94±0.08 and 1.17±0.08;the levels of Nrf2 were 1.12±0.16、0.76±0.15,0.65±0.13,0.70±0.16 and 0.82±0.18;the levels of HO-1 were 1.34±0.15、1.00±0.12,0.89±0.10,1.50±0.18 and 1.40±0.13,respectively.Significant difference was found between normal group and model group(P＜0.01,P＜0.05);significant difference was also found between the experimental-L,-H groups and model group(P＜0.01,P＜0.05).Conclusion Wumeiwan can inhibit oxidative stress in mice with UC,the mechanisms may be related to adjusted the expression of Keap-1-Nrf2/HO-1 signaling pathway protein in colon.

Hepatocellular carcinoma is one of the most common malignant tumors worldwide, posing a great threat to human health and life. Despite the tremendous progress in understanding the origin and molecular characterization of hepatocellular carcinoma, there are still few therapeutic options that can significantly increase the survival rate and improve the quality of life of patients. Protein post-translational modifications (PTMs) are regulatory mechanisms for protein activity, localization, expression, and interactions with other cellular molecules that induce changes in protein properties and functions. More and more studies have demonstrated that PTMs and immunotherapy play an important role in the development of hepatocellular carcinoma, even in the immunosurveillance of hepatocellular carcinoma and the treatment and prognosis of hepatocellular carcinoma patients. Traditional types of PTMs include phosphorylation, glycosylation, methylation, and ubiquitination. Phosphorylation affects cancer development and progression by regulating tumor cell proliferation, invasion and metastasis, and inhibiting apoptosis. There are two main types of glycosylation: O-glycosylation andN-glycosylation. Abnormal glycosylation not only promotes the proliferation and metastasis of hepatocellular carcinoma cells, but also plays an important role in immune recognition and immune escape. Common methylation modifications include DNA methylation, RNA methylation and histone methylation. Among them, histone methylation, as an important epigenetic regulatory mechanism, is of great theoretical and practical significance for understanding the mechanism of hepatocellular carcinoma as well as carrying out the corresponding prevention and immunotherapy. Ubiquitination plays an important role in the localization, metabolism, function, regulation and degradation of proteins, and it is regulated at different levels by ubiquitin-activating enzyme (E1), ubiquitin-conjugating enzyme (E2), ubiquitin-conjugating enzyme (E3), and a series of deubiquitinating enzymes (DUBs) and is closely related to hepatocellular carcinoma immunotherapy. This paper begins with a brief overview of the importance of PTMs of proteins, discusses the importance of these traditional types of PTMs in hepatocellular carcinoma immunotherapy, and summarizes the most recent applications of these approaches in hepatocellular carcinoma in order to explore the mechanism of action of PTMs in hepatocellular carcinoma immunotherapy. Then, we summarize the finding that programmed death-ligand 1 (PD-L1) is associated with a variety of conventional types of PTMs, that in-depth study of the mechanisms regulating PD-L1 expression in tumor cells is expected to improve therapeutic efficacy, and that targeting PD-L1 in PTMs is expected to be a new field for exploring hepatocellular carcinoma immunotherapy in the future. Finally, we discuss the current status of research on PTMs for hepatocellular carcinoma immunotherapy and provide new insights and future research directions. In addition to the traditional types of PTMs, multiple novel PTMs have also been identified in published research reports, while the relationship between novel PTMs and hepatocellular carcinoma and the types of PTMs to other undiscovered proteins are still poorly understood, and future research will be focused on a more comprehensive knowledge and understanding of PTMs as well as on exploring new types and mechanisms of PTMs. Overall, further investigation of the role of PTMs in tumor immunity could help to discover new biomarkers and to develop more effective and personalized cancer immunotherapies and targeted therapies, expanding our understanding of cancer biology.