Wilson disease （WD） is a hereditary disorder of copper metabolism characterized by abnormal copper accumulation in tissues， including the liver and brain， which leads to severe hepatic and neurological damage. This disease is often accompanied by lipid metabolism abnormalities， and the exploration of related mechanisms has attracted increasing attention. This article introduces the clinical features of lipid metabolism disorders in WD patients， summarizes the research advances in the serum levels of lipids and hepatic steatosis， analyzes the potential mechanisms of the interaction between copper and lipid metabolism， and highlights the significance of lipid-related molecules in disease diagnosis and clinical evaluation. In clinical practice， the monitoring and assessment of lipid metabolism parameters should be taken seriously in patients with WD， in order to promote comprehensive disease management and improve the prognosis of patients.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To address the bottlenecks in the application of wastewater biological treatment technology under space conditions,an experimental system for the biological treatment of space wastewater was constructed and its biochemical performance examined.The findings of this study will provide technical support for the biological treatment of space wastewater.Methods Based on the Membrane Aerated Biofilm Reactor(MABR)process,a biological treatment experimental system for space wastewater was constructed and conducted the continuous flow test for 77 days to investigate the performance of PVDF and PP membrane modules in the treatment of simulated air condensate.Results The results demonstrated that both membrane modules exhibited an average TOC removal rate of 90%,indicative of their effective organic matter removal capacity.In the air supply mode,the ammonia oxidation capacity was observed to be comparatively lower,whereas in the oxygen source without bubbling mode,the nitrogen oxidation rate and total nitrogen removal rate could be attained above 90%,indicating a notable degree of simultaneous nitrification and denitrification.The results demonstrated that the mode of gas supply had a significant impact on the nitrogen conversion performance.The abundance of nitrogen-converting bacteria in PP membrane module is higher than that in PVDF membrane module,indicating a better nitrogen-converting performance in PP membrane module.Conclusion The constructed wastewater biological treatment system is optimally suited for the treatment of air condensate,thereby offering a novel technical approach for space wastewater treatment.

This article summarizes the rapid rehabilitation nursing experience for one pediatric pa-tient with pancreatic divisum who underwent en bloc pancreatoduodenectomy preserving the duodenum,common bile duct,and Oddi's sphincter(DCOPPHTR).The nursing care encompassed preoperative prehabilitation to enhance physical and psychological preparation,postoperative precise volume and dynamic blood glucose management,early mobilization to facilitate recovery,personalized nutritional support to improve nutritional status,psychological nursing to bolster confidence,and family involve-ment to enhance quality of life.The pediatric patient experienced rapid recovery and was discharged from the hospital.A six-month follow-up indicated a significant improvement in quality of life.

Post-acute pancreatitis diabetes mellitus (PPDM-A) is a common type of exocrine pancreatic diabetes. It is very important to clarify the risk factors of PPDM-A and effectively screen for diabetes in patients with acute pancreatitis to prevent the occurrence and development of PPDM-A. This article elaborates on the three aspects of PPDM-A, including high-risk population, screening timing and methods, as well as PPDM-A screening in children and adolescents, aiming to provide a basis for early detection of PPDM-A and timely targeted treatment for patients.

AIM:This study explores whether curcumin(Cur)promotes mitophagy to attenuate nonalcoholic steatohepatitis(NASH)in mice,as well as the possible molecular mechanisms involved.METHODS:A high-fat and high-cholesterol diet was used to replicate the NASH mouse model.Thirty-two male C57BL/6J mice were randomly divided into normal control(NC)group,high-fat and high-cholesterol model(M)group,M+low-dose Cur(Cur-L)group,and M+high-dose Cur(Cur-H)group,with 8 mice in each group.The weight of 8 mice in each group was recorded weekly.After feeding for 18 weeks,the serum and liver of mice were collected.Serum levels of total cholesterol(TC),triglyceride(TG),low-density lipoprotein(LDL-C),alanine aminotransferase(ALT),aspartate aminotransferase(AST),and tumor necrosis factors-α(TNF-α)were measured.Liver index was calculated,and steatosis,inflammation,and fibrosis of the liver were observed by HE and Masson staining.Western blot analysis was performed to detect the protein expression of mi-tophagy-related protein,TNF-α and α-SMA in the liver.(2)HepG2 cells were treated with oleic acid and cholesterol to replicate the hepatocyte injury model,which was divided into NC group,Cur group,M group,and M+Cur group.Small interfering RNA for PTEN-induced kinase 1(PINK1)knockdown was used to explore the relationship between PINK1-me-diated mitophagy and NASH.Compound C(CC)was used to inhibit AMP-activated protein kinase(AMPK)to explore the effect of the AMPK/silent information regulator 1(Sirt1)pathway on mitophagy.The lipid droplets of HepG2 cells were ob-served by oil red O staining,and the levels of TC,TG,LDL-C,ALT,and AST in cell suspension were detected.RE-SULTS:(1)Compared with M group,treatment with Cur significantly reduced the body weight,liver coefficient,and se-rum levels of TC,TG,LDL-C,ALT,AST,and TNF-α in NASH mice,while the steatosis and fibrosis in the liver were improved(P<0.05).(2)Different concentrations of Cur could increase or decrease the expression of mitophagy-related proteins in HepG2 cells in a concentration gradient.Compared with the M group,Cur reduced lipid droplets and de-creased TC,TG,LDL-C,ALT,and AST levels(P<0.05).(3)Compared with the NC group,the expression levels of mi-tophagy-related proteins in the liver of mice in the M group decreased,and the expression levels of TNF-α and α-SMA pro-teins increased.Different concentrations of Cur intervention promoted the increase of mitophagy-related proteins and the decrease of TNF-α and α-SMA proteins(P<0.05).(4)After Cur intervention,the expression levels of mitophagy-related proteins increased and the expression levels of in TNF-α and α-SMA levels decreased in HepG2 cells induced by oleic acid and cholesterol(P<0.05).(5)Compared with M group,oleic-acidand cholesterol-induced mitophagy function in HepG2 cells was decreased after PINK1 knockdown(P<0.05).After CC inhibited AMPK,Cur increased the expression of p-AMPK(P<0.01),Sirt1(P<0.01),peroxisome proliferator-activated receptor γ coactivator-1α(P>0.05),PINK1(P<0.01)and parkin(P<0.01)proteins to some extent.CONCLUSION:Treatment with Cur attenuates liver injury in NASH mice and reduces lipid accumulation in HepG2 cells induced by oleic acid and cholesterol,and the mechanism may be related to promotion of mitophagy,which may involve the AMPK/Sirt1 signaling pathway.

Cancer multidrug resistance (MDR) impairs the therapeutic efficacy of various chemotherapeutics. Novel approaches, particularly the development of MDR reversal agents, are critically needed to address this challenge. This study demonstrates that tenacissoside I (TI), a compound isolated from Marsdenia tenacissima (Roxb.) Wight et Arn, traditionally used in clinical practice as an ethnic medicine for cancer treatment, exhibits significant MDR reversal effects in ABCB1-mediated MDR cancer cells. TI reversed the resistance of SW620/AD300 and KBV200 cells to doxorubicin (DOX) and paclitaxel (PAC) by downregulating ABCB1 expression and reducing ABCB1 drug transport function. Mechanistically, protein arginine methyltransferase 1 (PRMT1), whose expression correlates with poor prognosis and shows positive association with both ABCB1 and EGFR expressions in tumor tissues, was differentially expressed in TI-treated SW620/AD300 cells. SW620/AD300 and KBV200 cells exhibited elevated levels of EGFR asymmetric dimethylarginine (aDMA) and enhanced PRMT1-EGFR interaction compared to their parental cells. Moreover, TI-induced PRMT1 downregulation impaired PRMT1-mediated aDMA of EGFR, PRMT1-EGFR interaction, and EGFR downstream signaling in SW620/AD300 and KBV200 cells. These effects were significantly reversed by PRMT1 overexpression. Additionally, TI demonstrated resistance reversal to PAC in xenograft models without detectable toxicities. This study establishes TI's MDR reversal effect in ABCB1-mediated MDR human cancer cells through inhibition of PRMT1-mediated aDMA of EGFR, suggesting TI's potential as an MDR modulator for improving chemotherapy outcomes.
Humans ; Protein-Arginine N-Methyltransferases/antagonists & inhibitors* ; Drug Resistance, Neoplasm/drug effects* ; ErbB Receptors/genetics* ; Animals ; Cell Line, Tumor ; Drug Resistance, Multiple/drug effects* ; Methylation/drug effects* ; Saponins/administration & dosage* ; Mice ; Mice, Nude ; Mice, Inbred BALB C ; ATP Binding Cassette Transporter, Subfamily B/genetics* ; Doxorubicin/pharmacology* ; Paclitaxel/pharmacology* ; Female ; Repressor Proteins

Objective:To explore the association between sleep and myopia among students aged 6-15 years in Tianjin.Methods:A cross-sectional study was conducted.A total of 218 864 primary and secondary school students aged 6-15 years in Tianjin were recruited from January 2023 to May 2023.Basic information and responses to the Children's Sleep Habits Questionnaire (CSHQ) were collected.Logistic regression models were used to assess the association between myopia and sleep.The study followed the Declaration of Helsinki, and the research protocol was approved by the Medical Ethics Committee of Tianjin Medical University Eye Hospital (No.ChiCTR2200065710). All questionnaires and demographic information were collected with parental consent.Results:It was found that 68 121(31.12%) students were myopic and 178 514(81.56%) had sleep disorders.The prevalence of myopia among students with average daily sleep durations of ≤8 hours, >8-9 hours, >9-10 hours, and >10 hours was 52.17%(9 288/17 803), 35.35%(31 037/87 787), 25.18%(24 481/97 216), and 20.64% (3 315/16 058), respectively, and the difference was statistically significant ( χ2=6 835.649, P<0.001). After adjusting for sex, age, body mass index, and potential confounding factors, compared with students with average daily sleep duration of >10 hours, students with average daily sleep durations of ≤8 hours ( OR=1.496, 95% CI: 1.415-1.581, P<0.001), >8-9 hours ( OR=1.364, 95% CI: 1.383-1.447, P<0.001), and >9-10 hours ( OR=1.257, 95% CI: 1.202-1.316, P<0.001) had a higher risk of myopia.Students with sleep disorders, bedtime resistance, sleep-onset delay, irregular sleep duration, sleep anxiety, night wakings, parasomnias, sleep-disordered breathing, and daytime sleepiness were more likely to be myopic. Conclusions:Sleep is a key factor influencing myopia among schoolchildren aged 6-15 years in Tianjin.