Objective:To analyze the clinical features，diagnosis，treatment and prognosis of children with juvenile dermatomyositis(JDM) complicated with interstitial lung disease(ILD).Methods:The clinical manifestations，laboratory examination，treatment and prognosis of 7 children with JDM-ILD who were hospitalized in the Department of Nephrology and Immunology，Women and Children's Hospital Affiliated to Qingdao University from December 2019 to December 2023 were retrospectively analyzed.Results:Among the 7 cases，4 were male and 3 were female.The age of onset was 1.8-10.0 years（mean age 5.6 years），the occurrence time of pulmonary involvement was 0.6-4.0 months（mean time 2.0 months），and the follow-up time was 1.8-4.0 years.All the 7 cases had typical rash and different degrees of myasthenia.Four cases were accompanied by skin mucosal ulceration and 4 cases had fever during the course of the disease.Of the 7 cases，2 were accompanied by macrophage activation syndrome，and 1 of them had nervous system involvement，including convulsion and coma.All the children had increased creatase of varying degrees，and only 1 case had increased creatine kinase.Five cases had positive anti- melanoma differentiation-associated gene 5（MDA5）antibody and 4 cases had positive anti- Ro-52 antibody.Interleukin-6 was increased in 5 cases，interferon-γ was increased in 3 cases，and tumor necrosis factor-α was increased in 2 cases.Electromyography showed myogenic injury，MRI showed different degrees of myositis.Chest high-resolution CT showed ground glass shadow，rope shadow，consolidation shadow，pleural thickening，mesh shadow，etc.Four cases had limited lung function or mixed ventilation function restriction.All 7 cases received methylprednisolone pulse treatment combined with immunosuppressant treatment，and 5 cases received immunoglobulin treatment.Pulmonary lesions improved in 5 cases and partially improved in 1 case.One case died due to macrophage activation and multiple organ failure.Conclusion:The respiratory symptoms of JDM-ILD are obscure，and the incidence of ILD is high in children with anti-MDA5 antibody positive.High-resolution CT contributes to early diagnosis.Reasonable early application of glucocorticoid and immunosuppressants could improve the survival rate and quality of life.

Objective:To investigate the influencing factors of major adverse cardiovascular events (MACE) in maintenance hemodialysis (MHD) patients, and to construct and verify the nomogram.Methods:The clinical data of 240 patients with MHD admitted to the First Affiliated Hospital of Hebei North University from July 2022 to October 2023 were retrospectively analyzed. According to whether the patients had MACE, they were divided into two groups, namely the occurrence group (with MACE, n=55) and the non-occurrence group (without MACE, n=185). After comparing the clinical data of the two groups, The independent risk factors of MHD patients with MACE were screened by binary logistic regression analysis, and the risk nomogram prediction model was constructed according to the risk factors, and the prediction efficiency of the model was analyzed by Bootstrap method. Results:There were significant differences in age, dialysis age, hyperlipidemia, hyperuricemia and hemodialysis flux between the two groups (all P<0.05). Binary logistic regression model analysis showed that dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia, and low throughput hemodialysis were independent risk factors for MHD patients with MACE (all P<0.05). The neomorph risk prediction model was constructed based on independent risk factors. The area under the curve (AUC) of the prediction model was 0.842(95% CI: 0.789-0.896), the specificity was 69.1%, the sensitivity was 89.7%, the cutoff value was 13.128, and the Yoden index was 0.588, suggesting that the accuracy of the model was good. Conclusions:Dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia and low throughput hemodialysis are independent risk factors for MACE in MHD patients. Intervention and control of risk factors can reduce the incidence of MACE.

Objective To investigate the role and mechanism of metastasis-associated protein in colorectal cancer 1(MACC1)in the proliferation and migration of colorectal cancer.Methods The expression of MACC1 in colorectal cancer samples and para-cancerous samples from TCGA database was analyzed.The survival difference between the groups with high and low expression of MACC1 was studied.HCT116 cells were divided into Vector group(no treatment group)and MACC1 OE group(transfected with pcDNA3.1-MACC1 plasmid),si-NC group(negative control group),and si-MACC1 group(transfected with MACC1 siRNA).MTT assay was used to detect cell viability;EDU and cell clonal formation assay were used to detect cell proliferation.The migration and invasion of cells were detected by scratch and invasion assays,respectively.The mRNA expression level of cellular-mesenchymal epithelial transition factor(c-MET)was detected by RT-qPCR,and the protein expression of MACC1 and c-MET was detected by Western blotting.Colon cancer cell HCT116 transfected with MACC1 OE was inoculated subcutaneously into nude mice to establish tumor model,and the volume and weight of tumor tissue were measured.Results The expression level of MACC1 was upregulated in colorectal cancer tissue and cells(P＜0.05).Patients with high MACC1 expression had shorter overall survival than those with low MACC1 expression(P=0.003).Overexpression of MACC1 significantly increased cell viability(F=86.070,P＜0.001).Compared with those in si-NC group,the proliferation rate,migration,invasion and number of clone formation of HCT116 in si-MACC1 group were significantly decreased(P＜0.01).The expression of MACC1 protein was positively correlated with the expression of c-MET protein in colorectal cancer(r=0.802,P=0.002).Overexpression of MACC1 promoted the c-MET expression(t=13.532,P＜0.001),while knockdown of MACC1 inhibited the c-MET expression(t=14.626,P＜0.001).Luciferase reports assay demonstrated that c-MET was a transcriptional target of MACC1.MACC1 overexpression increased the tumor volume and weight of nude mice(P＜0.01).Conclusion MACC1 can promote the invasion and migration of colorectal cancer through hepatocyte growth factor/c-MET pathway.

Objective To explore the differences in neural activity between patients with anorexia nervosa(AN)and healthy controls(HC),as well as the association between these differences and symptoms in AN patients,using activation likelihood estimation(ALE)meta-analysis.Methods The literature search covered the period from 2000 to March 2025.From a pool of 588 identified studies,4 studies focusing on the neural activity differences between AN patients and HC were selected for inclusion.These studies comprised 106 participants and 21 sets of coordinates.The ALE meta-analysis method was employed,and the GingerALE software was used to systematically analyze the reported brain region changes and their peak coordinates,aiming to investigate the differences in brain functional activity between AN patients and HC.Results Compared to the HC group,AN group showed significantly enhanced activation in the left parahippocampal gyrus/amygdala(ALE value=0.39×10-2),right parahippocampal gyrus/amygdala(ALE value=0.39×10-2)and suboccipital gyrus(ALE value=0.39×10-2),along with a significant reduction in activation in Brodmann area 17(ALE value=0.61×10-2)(P<0.01,FWE corrected).Conclusion Key brain regions in AN patients including the parahippocampal gyrus,inferior occipital gyrus,and amygdala demonstrate significant functional activation abnormalities.

Objective To explore the differences in neural activity between patients with anorexia nervosa(AN)and healthy controls(HC),as well as the association between these differences and symptoms in AN patients,using activation likelihood estimation(ALE)meta-analysis.Methods The literature search covered the period from 2000 to March 2025.From a pool of 588 identified studies,4 studies focusing on the neural activity differences between AN patients and HC were selected for inclusion.These studies comprised 106 participants and 21 sets of coordinates.The ALE meta-analysis method was employed,and the GingerALE software was used to systematically analyze the reported brain region changes and their peak coordinates,aiming to investigate the differences in brain functional activity between AN patients and HC.Results Compared to the HC group,AN group showed significantly enhanced activation in the left parahippocampal gyrus/amygdala(ALE value=0.39×10-2),right parahippocampal gyrus/amygdala(ALE value=0.39×10-2)and suboccipital gyrus(ALE value=0.39×10-2),along with a significant reduction in activation in Brodmann area 17(ALE value=0.61×10-2)(P<0.01,FWE corrected).Conclusion Key brain regions in AN patients including the parahippocampal gyrus,inferior occipital gyrus,and amygdala demonstrate significant functional activation abnormalities.

Objective To investigate the role and mechanism of metastasis-associated protein in colorectal cancer 1(MACC1)in the proliferation and migration of colorectal cancer.Methods The expression of MACC1 in colorectal cancer samples and para-cancerous samples from TCGA database was analyzed.The survival difference between the groups with high and low expression of MACC1 was studied.HCT116 cells were divided into Vector group(no treatment group)and MACC1 OE group(transfected with pcDNA3.1-MACC1 plasmid),si-NC group(negative control group),and si-MACC1 group(transfected with MACC1 siRNA).MTT assay was used to detect cell viability;EDU and cell clonal formation assay were used to detect cell proliferation.The migration and invasion of cells were detected by scratch and invasion assays,respectively.The mRNA expression level of cellular-mesenchymal epithelial transition factor(c-MET)was detected by RT-qPCR,and the protein expression of MACC1 and c-MET was detected by Western blotting.Colon cancer cell HCT116 transfected with MACC1 OE was inoculated subcutaneously into nude mice to establish tumor model,and the volume and weight of tumor tissue were measured.Results The expression level of MACC1 was upregulated in colorectal cancer tissue and cells(P＜0.05).Patients with high MACC1 expression had shorter overall survival than those with low MACC1 expression(P=0.003).Overexpression of MACC1 significantly increased cell viability(F=86.070,P＜0.001).Compared with those in si-NC group,the proliferation rate,migration,invasion and number of clone formation of HCT116 in si-MACC1 group were significantly decreased(P＜0.01).The expression of MACC1 protein was positively correlated with the expression of c-MET protein in colorectal cancer(r=0.802,P=0.002).Overexpression of MACC1 promoted the c-MET expression(t=13.532,P＜0.001),while knockdown of MACC1 inhibited the c-MET expression(t=14.626,P＜0.001).Luciferase reports assay demonstrated that c-MET was a transcriptional target of MACC1.MACC1 overexpression increased the tumor volume and weight of nude mice(P＜0.01).Conclusion MACC1 can promote the invasion and migration of colorectal cancer through hepatocyte growth factor/c-MET pathway.

Objective:To analyze the clinical features，diagnosis，treatment and prognosis of children with juvenile dermatomyositis(JDM) complicated with interstitial lung disease(ILD).Methods:The clinical manifestations，laboratory examination，treatment and prognosis of 7 children with JDM-ILD who were hospitalized in the Department of Nephrology and Immunology，Women and Children's Hospital Affiliated to Qingdao University from December 2019 to December 2023 were retrospectively analyzed.Results:Among the 7 cases，4 were male and 3 were female.The age of onset was 1.8-10.0 years（mean age 5.6 years），the occurrence time of pulmonary involvement was 0.6-4.0 months（mean time 2.0 months），and the follow-up time was 1.8-4.0 years.All the 7 cases had typical rash and different degrees of myasthenia.Four cases were accompanied by skin mucosal ulceration and 4 cases had fever during the course of the disease.Of the 7 cases，2 were accompanied by macrophage activation syndrome，and 1 of them had nervous system involvement，including convulsion and coma.All the children had increased creatase of varying degrees，and only 1 case had increased creatine kinase.Five cases had positive anti- melanoma differentiation-associated gene 5（MDA5）antibody and 4 cases had positive anti- Ro-52 antibody.Interleukin-6 was increased in 5 cases，interferon-γ was increased in 3 cases，and tumor necrosis factor-α was increased in 2 cases.Electromyography showed myogenic injury，MRI showed different degrees of myositis.Chest high-resolution CT showed ground glass shadow，rope shadow，consolidation shadow，pleural thickening，mesh shadow，etc.Four cases had limited lung function or mixed ventilation function restriction.All 7 cases received methylprednisolone pulse treatment combined with immunosuppressant treatment，and 5 cases received immunoglobulin treatment.Pulmonary lesions improved in 5 cases and partially improved in 1 case.One case died due to macrophage activation and multiple organ failure.Conclusion:The respiratory symptoms of JDM-ILD are obscure，and the incidence of ILD is high in children with anti-MDA5 antibody positive.High-resolution CT contributes to early diagnosis.Reasonable early application of glucocorticoid and immunosuppressants could improve the survival rate and quality of life.

Objective:To investigate the influencing factors of major adverse cardiovascular events (MACE) in maintenance hemodialysis (MHD) patients, and to construct and verify the nomogram.Methods:The clinical data of 240 patients with MHD admitted to the First Affiliated Hospital of Hebei North University from July 2022 to October 2023 were retrospectively analyzed. According to whether the patients had MACE, they were divided into two groups, namely the occurrence group (with MACE, n=55) and the non-occurrence group (without MACE, n=185). After comparing the clinical data of the two groups, The independent risk factors of MHD patients with MACE were screened by binary logistic regression analysis, and the risk nomogram prediction model was constructed according to the risk factors, and the prediction efficiency of the model was analyzed by Bootstrap method. Results:There were significant differences in age, dialysis age, hyperlipidemia, hyperuricemia and hemodialysis flux between the two groups (all P<0.05). Binary logistic regression model analysis showed that dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia, and low throughput hemodialysis were independent risk factors for MHD patients with MACE (all P<0.05). The neomorph risk prediction model was constructed based on independent risk factors. The area under the curve (AUC) of the prediction model was 0.842(95% CI: 0.789-0.896), the specificity was 69.1%, the sensitivity was 89.7%, the cutoff value was 13.128, and the Yoden index was 0.588, suggesting that the accuracy of the model was good. Conclusions:Dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia and low throughput hemodialysis are independent risk factors for MACE in MHD patients. Intervention and control of risk factors can reduce the incidence of MACE.

Objective To explore the relationship between SERPINE1 gene related to lactic acid metabo-lism and clinical prognosis of gastric cancer(GC).Methods A total of 89 patients with GC who underwent surgical resection in the hospital from January 2018 to December 2020 were enrolled in the study.In the pre-liminary experiment,the levels of 5 genes related to lactic acid metabolism(F5,MTTP,SERPINE1,CYP19A1,SLC52A3)in 24 serum samples from GC patients with stage Ⅰ(n=12)and stage Ⅳ(n=12)were analyzed.In the second step,the candidate genes with significant changes in serum of GC patients with stage Ⅳ and GC patients with stage Ⅰ in the preliminary experiment were verified in a larger independent co-hort,which included serum samples of 65 GC patients and 22 healthy controls.Results Among the genes re-lated to lactic acid metabolism(F5,MTTP,SERPINE1,CYP19A1,SLC52A3)analyzed in the preliminary ex-periment,SERPINE1 was significantly up-regulated in the serum of patients with stage Ⅳ compared with that in the serum of patients with stage Ⅰ(P＜0.001).The expression level of SERPINE1 in serum of GC pa-tients was significantly lower than that of healthy controls(P＜0.000 1).In addition,the expression level of SERPINE1 increased with the progress of TNM staging(P＜0.05).Based on the receiver operating charac-teristic curve,the maximum predictive value of SERPINE1 on overall survival(OS)rate was analyzed(area under the curve=0.725,cut off value=0.002 1),and GC patients were divided into high expression group(n=39)or low expression group(n=26).Compared with the SERPINE1 low expression group,the cases of venous infiltration,T3/T4 stage,lymph node metastasis and distant metastasis in the SERPINE1 high expres-sion group increased,and the differences were statistically significant(P＜0.05).The OS rate of GC patients with low expression of SERPINE1 was significantly higher than that of patients with high expression of SER-PINE1(P＜0.05).Multivariate analysis showed that the high expression of SERPINE1 in serum(HR=4.51,95％CI=1.23-23.69,P=0.021)was an independent prognostic marker for predicting the poor prog-nosis of GC patients.Conclusion SERPINE1 gene related to lactic acid metabolism in serum could be used as a reliable biomarker for the prognosis of GC.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.