Objective: To examine the changing trajectories of sleep problems and teacher support among first year middle school students and their covariant relationship,so as to provide theoretical basis for the prevention strategy of sleep problems for the first year junior high school students. Methods: In September 2020, a multistage cluster random sampling method was used to select 1 027 first year junior high school students from two schools of Anshun and Guiyang cities in Guizhou Province for survey and follow up assessments (T1:September 2020, T2:October 2020, T3:November 2020, T4:December 2020). The Student Perceived Teacher Support Behavior Questionnaire and Pittsburgh Sleep Quality Index Scale were administered to assess sleep problems and teacher support among first year junior high school students. Spearman correlation analysis was used to examine the relationship between sleep problems and teacher support. A multivariate latent growth curve model was employed to analyze the changing trajectories and covariant relationship between teacher support and sleep problems, followed by a multi group analysis. Results: For first year junior high school students, teacher support scores at T1-T4 were 4.00 (3.47, 4.53), 4.00 (3.47, 4.58), 3.95 (3.47, 4.61) and 4.00 (3.48, 4.67), respectively; sleep problem scores were 0.83 (0.50, 1.17), 0.67 (0.50, 1.17), 0.83 (0.50, 1.17) and 0.67 (0.33, 1.17), respectively. Spearman correlation analysis revealed that teacher support and sleep problems were negatively correlated across all four period ( r =-0.28 to -0.14, all P <0.01). Teacher support perceived by students showed a linear increasing trend (intercept=3.98, slope=0.02), while sleep problems showed a linear decreasing trend (intercept=0.86, slope= -0.02 ) (all P <0.05). The multivariate latent growth model indicated that the rate of increase in teacher support after enrollment effectively predicted the rate of decrease in sleep problem levels ( β=-0.34, P <0.01). Multigroup analysis showed that the covariant relationship was not moderated by gender or boarding status (both P >0.05). Conclusions The increase in teacher support experienced by first year junior high school students during the transition period after enrollment, accompanied by a reduction in sleep problems, constitutes a dynamic protective process. The process is not moderated by gender or boarding status.

Objective To explore the change pattern of quantitative parameters in contrast-enhanced computed tomography (CECT) scans during the cortical and nephrographic phases in patients with clear cell renal cell carcinoma (ccRCC), evaluate the diagnostic efficiency of these quantitative parameters in predicting the pathological grade of ccRCC preoperatively, and provide imaging reference for clinically evaluating preoperative disease severity and formulating individualized therapeutic regimens. Methods A retrospective analysis was performed on the clinical data of 84 patients with ccRCC treated in our hospital between September 2022 and September 2024. According to the World Health Organization/International Society of Urological Pathology (WHO/ISUP) pathological grading system, patients were divided into a high-grade group (n = 32) and a low-grade group (n = 52). CECT features and quantitative parameters were compared between the two groups. The relationships between CECT quantitative parameters and pathological grading in ccRCC patients were analyzed using Spearman correlation. The diagnostic value of these parameters for preoperative pathological grading was evaluated using receiver operating characteristic curves. Results The maximum tumor diameter and the proportion of tumors with blurred margins were higher in the high-grade group than in the low-grade group (P<0.05). The CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were lower in the high-grade group than in the low-grade group (P<0.05). Spearman correlation analysis showed that the CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were negatively correlated with preoperative pathological grades in ccRCC patients (P<0.05). Receiver operating characteristic curve analysis revealed that the area under the curve for preoperative pathological grading using the combination of cortical phase CT value, cortical phase net enhancement value, cortical phase enhancement rate, nephrographic phase CT value, nephrographic phase net enhancement value, and nephrographic phase enhancement rate was 0.912, which was higher than the areas for any individual parameter used alone (0.770, 0.748, 0.763, 0.751, 0.739, and 0.718, respectively; P<0.05). The sensitivity, specificity, and 95% confidence interval for the parameters used in combination were 96.88%, 69.23%, and 0.853-0.970, respectively. Conclusion CECT quantitative parameters were negatively correlated with pathological grades in patients with single ccRCC and demonstrated high diagnostic efficiency for pathological grading, providing a reference for clinical treatment planning.

OBJECTIVE:To evaluate the efficacy and safety of different immunosorbent columns in the treatment of rheumatoid arthritis through a network meta-analysis,and provide evidence-based basis for clinical diagnosis and treatment.METHODS:By computer,the databases of VIP,WanFang,CNKI,PubMed,CBM,CochraneLibrary,and Web of Science were searched for published cohort studies of immunosorbent column for the treatment of rheumatoid arthritis,with a time limit until August 2024.The quality of the included randomized controlled trials was assessed using the Cochrane5.4 manual.The quality of retrospective cohort studies were evaluated via the Newcastle-Ottawa Scale(NOS).Bayesian network meta-analysis was performed using R4.1.1 software.RESULTS:A total of 13 studies were included,with a total sample size of 891 cases,and 4 immunosorbent columns were included.The results of the network meta-analysis showed that the top three orders that reduce C-reactive protein level:HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional Western medicine＞A protein adsorption column;the top three orders that reduce erythrocyte sedimentation rates:leukocyte adsorption column＞HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional western medicine;the top three orders that reduce swollen joint count:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 type adsorption column+conventional Western medicine;the top three orders that reduce tenderness joint counts:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 adsorption column+conventional Western medicine;the top three orders that reduce patients' disease activity evaluation:PH-350 adsorption column+conventional western medicine＞leukocyte adsorption column＞A protein adsorption column;the top three orders that reduce visual analogue scale scores:PH-350 adsorption column+conventional Western medicine＞A protein adsorption column＞leukocyte adsorption column;the top three orders that reduce physician's disease activity assessment:PH-350 adsorption column+conventional Western medicine＞leukocyte adsorption column＞conventional Western medicine.CONCLUSION:Based on the 13 articles,in terms of reducing C-reactive protein level,HA280 adsorption column and conventional Western medicine are the preferred choice.In terms of reducing erythrocyte sedimentation rate,swollen joint count,and tender joint count,leukocyte adsorption column is the preferred choice.In terms of reducing patient's disease activity evaluation,physician's disease activity evaluation and visual analogue scale scores,PH-350 adsorption column and conventional Western medicine are the first choice.Different immunosorbent columns can be reasonably and accurately selected according to the patient's specific conditions.

OBJECTIVE:To evaluate the efficacy and safety of different immunosorbent columns in the treatment of rheumatoid arthritis through a network meta-analysis,and provide evidence-based basis for clinical diagnosis and treatment.METHODS:By computer,the databases of VIP,WanFang,CNKI,PubMed,CBM,CochraneLibrary,and Web of Science were searched for published cohort studies of immunosorbent column for the treatment of rheumatoid arthritis,with a time limit until August 2024.The quality of the included randomized controlled trials was assessed using the Cochrane5.4 manual.The quality of retrospective cohort studies were evaluated via the Newcastle-Ottawa Scale(NOS).Bayesian network meta-analysis was performed using R4.1.1 software.RESULTS:A total of 13 studies were included,with a total sample size of 891 cases,and 4 immunosorbent columns were included.The results of the network meta-analysis showed that the top three orders that reduce C-reactive protein level:HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional Western medicine＞A protein adsorption column;the top three orders that reduce erythrocyte sedimentation rates:leukocyte adsorption column＞HA280 adsorption column+conventional Western medicine＞PH-350 adsorption column+conventional western medicine;the top three orders that reduce swollen joint count:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 type adsorption column+conventional Western medicine;the top three orders that reduce tenderness joint counts:leukocyte adsorption column＞A protein adsorption column+conventional western medicine＞PH-350 adsorption column+conventional Western medicine;the top three orders that reduce patients' disease activity evaluation:PH-350 adsorption column+conventional western medicine＞leukocyte adsorption column＞A protein adsorption column;the top three orders that reduce visual analogue scale scores:PH-350 adsorption column+conventional Western medicine＞A protein adsorption column＞leukocyte adsorption column;the top three orders that reduce physician's disease activity assessment:PH-350 adsorption column+conventional Western medicine＞leukocyte adsorption column＞conventional Western medicine.CONCLUSION:Based on the 13 articles,in terms of reducing C-reactive protein level,HA280 adsorption column and conventional Western medicine are the preferred choice.In terms of reducing erythrocyte sedimentation rate,swollen joint count,and tender joint count,leukocyte adsorption column is the preferred choice.In terms of reducing patient's disease activity evaluation,physician's disease activity evaluation and visual analogue scale scores,PH-350 adsorption column and conventional Western medicine are the first choice.Different immunosorbent columns can be reasonably and accurately selected according to the patient's specific conditions.

Obesity represents a critical global health challenge characterized by a complex pathogenesis involving dysregulated adipogenesis and lipid metabolism. In recent years, long non-coding RNAs (lncRNAs) have been established as crucial regulators in the initiation and progression of obesity. These RNA molecules, typically exceeding 200 nucleotides in length, have emerged as key modulators of various biological processes through multiple molecular mechanisms. This review innovatively defines lncRNAs as “molecular switches” in energy metabolism—they regulate adipogenesis and lipid metabolism through key signaling pathways, and exert bidirectional control over obesity via ceRNA mechanisms or recruitment of chromatin-modifying complexes in tissues such as adipose and liver. Additionally, circulating lncRNAs, owing to their tissue specificity and stability, hold promise as non-invasive liquid biopsy biomarkers for obesity and related metabolic disorders. Furthermore, we systematically summarize lncRNA-based intervention strategies, including targeting pathogenic lncRNAs using antisense oligonucleotides (ASOs) or CRISPR/Cas gene editing systems, utilizing viral vectors (such as adeno-associated virus, AAV) to deliver or mimic beneficial lncRNAs in target tissues, and employing exercise as a non-pharmacological intervention that ameliorates obesity and its related complications at multiple levels, offering novel insights for personalized therapeutic approaches. We also critically assess the current challenges in clinical translation, particularly addressing issues related to delivery efficiency, target specificity, and long-term safety concerns. Future research should focus on the following directions: integrating multi-omics with functional screening to elucidate the regulatory networks of lncRNAs in obesity and its complications; leveraging artificial intelligence to construct predictive models of lncRNA-target gene interactions; developing efficient and safein vivo delivery systems, and optimizing drug design to enhance specificity and safety; establishing highly sensitive detection methods and stable circulating lncRNA biomarkers to enable precise patient stratification and real-time monitoring of therapeutic responses; investigating the synergistic effects of lncRNAs with existing treatments (e.g., GLP-1 receptor agonists, lifestyle interventions) to develop combination therapies and establish a multidimensional, personalized precision medicine framework for obesity. This review aims to provide novel perspectives for understanding the molecular mechanisms underlying obesity and to establish a solid theoretical foundation for developing lncRNA-targeted precision medicine strategies against obesity and its associated metabolic complications.

Obesity represents a critical global health challenge characterized by a complex pathogenesis involving dysregulated adipogenesis and lipid metabolism. In recent years, long non-coding RNAs (lncRNAs) have been established as crucial regulators in the initiation and progression of obesity. These RNA molecules, typically exceeding 200 nucleotides in length, have emerged as key modulators of various biological processes through multiple molecular mechanisms. This review innovatively defines lncRNAs as “molecular switches” in energy metabolism—they regulate adipogenesis and lipid metabolism through key signaling pathways, and exert bidirectional control over obesity via ceRNA mechanisms or recruitment of chromatin-modifying complexes in tissues such as adipose and liver. Additionally, circulating lncRNAs, owing to their tissue specificity and stability, hold promise as non-invasive liquid biopsy biomarkers for obesity and related metabolic disorders. Furthermore, we systematically summarize lncRNA-based intervention strategies, including targeting pathogenic lncRNAs using antisense oligonucleotides (ASOs) or CRISPR/Cas gene editing systems, utilizing viral vectors (such as adeno-associated virus, AAV) to deliver or mimic beneficial lncRNAs in target tissues, and employing exercise as a non-pharmacological intervention that ameliorates obesity and its related complications at multiple levels, offering novel insights for personalized therapeutic approaches. We also critically assess the current challenges in clinical translation, particularly addressing issues related to delivery efficiency, target specificity, and long-term safety concerns. Future research should focus on the following directions: integrating multi-omics with functional screening to elucidate the regulatory networks of lncRNAs in obesity and its complications; leveraging artificial intelligence to construct predictive models of lncRNA-target gene interactions; developing efficient and safein vivo delivery systems, and optimizing drug design to enhance specificity and safety; establishing highly sensitive detection methods and stable circulating lncRNA biomarkers to enable precise patient stratification and real-time monitoring of therapeutic responses; investigating the synergistic effects of lncRNAs with existing treatments (e.g., GLP-1 receptor agonists, lifestyle interventions) to develop combination therapies and establish a multidimensional, personalized precision medicine framework for obesity. This review aims to provide novel perspectives for understanding the molecular mechanisms underlying obesity and to establish a solid theoretical foundation for developing lncRNA-targeted precision medicine strategies against obesity and its associated metabolic complications.

The innate immune sensor NLRP3 inflammasome overactivation is involved in the pathogenesis of ulcerative colitis. PGAM5 is a mitochondrial phosphatase involved in NLRP3 inflammasome activation in macrophages. However, the role of PGAM5 in ulcerative colitis and the mechanisms underlying PGAM5 regulating NLRP3 activity remain unknown. Here, we show that PGAM5 deficiency ameliorates dextran sodium sulfate (DSS)-induced colitis in mice via suppressing NLRP3 inflammasome activation. By combining APEX2-based proximity labeling focused on PGAM5 with quantitative proteomics, we identify NEK7 as the new binding partner of PGAM5 to promote NLRP3 inflammasome assembly and activation in a PGAM5 phosphatase activity-independent manner upon inflammasome induction. Interfering with PGAM5-NEK7 interaction by punicalagin inhibits the activation of the NLRP3 inflammasome in macrophages and ameliorates DSS-induced colitis in mice. Altogether, our data demonstrate the PGAM5-NEK7 interaction in macrophages for NLRP3 inflammasome activation and further provide a promising therapeutic strategy for ulcerative colitis by blocking the PGAM5-NEK7 interaction.

Platelets are indispensable for physiological hemostasis and pathological thrombus formation, and platelet adhesion to endothelial collagen is a critical initial step in thrombus formation, often overlooked in current antiplatelet therapies. This study aims to elucidate how ginsenoside CK enhances hemodynamic circulation, alleviates stasis, and proposes therapeutic mechanisms. Inspired by the effects on improving microcirculatory disturbances in an acute soft tissue injury model, CK was identified as a PHD2 inhibitor, effectively suppressing platelet adhesion to collagen. It was proposed that targeting PHD2 regulates collagen hydroxylation modification, thereby influencing the formation of its three-dimensional structure, reducing the binding affinity between VWF and collagen, and ultimately suppressing thrombotic events. The efficacy of this mechanism was subsequently confirmed through a mouse DIC model, demonstrating the feasibility of CK in alleviating circulatory disorders. It is worth noting that when Phd2 was knocked down in mice's lungs, pulmonary embolism was significantly reduced. Additionally, PHD2 inhibitors approved for other diseases have exhibited similar anti-thrombotic effects. Moreover, when PHD2 inhibitors were combined with aspirin, they more effectively inhibited arterial thrombosis in rats. The findings offer valuable insights into potential targets for developing antiplatelet drugs or expanding therapeutic applications for existing PHD2 inhibitors in treating thrombotic diseases.

Taxifolin (TAX) is a natural compound known for its liver protection effect, but the mechanism remains unknown. Phosphorylated proteomics analyses discovered that the phosphorylation level of NDRG1 at T328 was a key event of TAX-improved liver fibrosis. We established models with NDRG1 knockout (KO) in vivo and in vitro, demonstrating that NDRG1 KO attenuated the development of hepatocyte injury, and combining NDRG1 KO and TAX administration did not result in a reduction in protection against liver injury. Cellular thermal shift assay and surface plasma resonance analysis showed that TAX directly binds to NDRG1 rather than its upstream kinase, subsequently demonstrating that TAX regulated phosphorylation of NDRG1 at T328 through binding to its C289 site. NDRG1 T328A (phosphorylated mutation) and T328E (mimic phosphorylation) in vivo and in vitro confirmed that pNDRG1_T328 exacerbates hepatocyte injury along with DNA damage, inflammatory response, and apoptosis, thereby contributing to hepatic stellate cells (HSCs) activation. In contrast, TAX can inhibit the above pathological abnormalities and block hepatocyte injury-triggered HSCs activation and fibrosis. Overall, TAX is a potent liver protection drug primarily targeting NDRG1 and inhibiting pNDRG1_T328 in hepatocytes.

Objective Logistic regression model was used to analyze the risk factors of liver cancer in patients with hepatitis B virus-related cirrhosis. Methods A retrospective analysis was performed on 504 patients with hepatitis B cirrhosis who were treated in a hospital from April 2021 to April 2024. The occurrence of liver cancer was counted. The risk factors of liver cancer in patients with HBV-related cirrhosis were analyzed by logistic regression analysis. Results Among the 504 patients with hepatitis B cirrhosis, 101 patients developed liver cancer and 403 patients did not develop liver cancer, which were included in the liver cancer group (n=101) and the non-liver cancer group (n=403).. Among hepatitis B cirrhosis, the incidence rate of liver cancer was 20.04%. Compared with the non-liver cancer group, the proportion of patients with long-term drinking history, family history of liver cancer, history of diabetes mellitus, antiviral therapy, and HBV-DNA load>104 were higher in the liver cancer group (P<0.05). logistic regression analysis found that long-term drinking history (OR=3.077, 95%CI: 1.130-8.378, P=0.028), history of diabetes mellitus (OR=3.747, 95%CI: 1.765-7.954, P=0.001), no antiviral therapy (OR=3.466, 95%CI: 1.337-8.985, P=0.011) and HBV-DNA load>104 (OR=3.149, 95%CI: 1.353-7.328, P=0.008) could independently affect the occurrence of liver cancer in patients with hepatitis B cirrhosis. Conclusion According to logistic regression analysis, long-term drinking history, history of diabetes mellitus, no antiviral therapy, and HBV-DNA load>104 are risk factors for liver cancer in patients with HBV-related cirrhosis.