Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Objective:To investigate the effects of early enteral and parenteral nutrition support on the growth, development, and metabolomics of low-birth-weight newborns.Methods:Ninety low-birth-weight newborns admitted to Hangzhou Maternity and Child Health Care Hospital from April 2022 to April 2024 were included in this retrospective study. They were randomly divided into a control group ( n = 45) and an intervention group ( n = 45) according to different intervention methods. The control group received routine traditional nutritional support, while the intervention group received early enteral and parenteral nutrition support. Data were collected on the growth and development status of the newborns, as well as their feeding conditions. Gastric fluid pH value, frequency of bowel sounds, and level of direct bilirubin were recorded. Physical condition was also assessed. The Neonatal Behavioral Neurological Assessment (NBNA) was used to evaluate the neurobehavioral status of the newborns. Additionally, the incidence of complications was recorded for both groups, and metabolomic changes were analyzed. Results:After intervention, the control group exhibited a time to regain birth weight of (20.67 ± 8.31) days, a time to reach a body weight of 2.0 kg of (53.57 ± 12.51) days, a lowest recorded body weight of (1.32 ± 0.21) kg, a body weight loss percentage of (12.31 ± 5.52)%, and a body weight gain of (15.02 ± 2.30) g/(kg/d). In contrast, the intervention group demonstrated a time to regain birth weight of (14.31 ± 5.62) days, a time to reach a body weight of 2.0 kg of (39.21 ± 9.32) days, a lowest recorded body weight of (1.01 ± 0.17) kg, a body weight loss percentage of (7.84 ± 4.92)%, and a body weight gain of (17.74 ± 3.94) g·kg?1·d?1. All differences between the two groups were statistically significant ( t = 4.28, 9.96, 7.69, 4.05, 4.11, all P < 0.001). The difference in the lowest body weight day between the two groups of children was not statistically significant ( P > 0.05). After intervention, the control group had an initial oral feeding duration of (8.30 ± 1.37) days, with a vomiting frequency of (10.25 ± 2.20) times, a daily milk intake of (35.38 ± 3.94) mL, a gastric fluid pH value of (3.85 ± 0.20), bowel sounds of (4.94 ± 0.97) times/minute, and a direct bilirubin level of (41.98 ± 25.76) mmol/L. In contrast, the intervention group showed an initial oral feeding duration of (4.01 ± 0.76) days, a vomiting frequency of (5.61 ± 1.24) times, a daily milk intake of (43.54 ± 4.07) mL, a gastric fluid pH value of (3.41 ± 0.12), bowel sounds of (5.86 ± 1.11) times/minute, and a direct bilirubin level of (28.98 ± 18.10) mmol/L. The differences between the two groups were statistically significant ( t = 18.36, 12.32, 9.66, 12.65, 4.18, 2.77, all P < 0.05). After intervention, the control group had a body length of (40.32 ± 1.84) cm, a body weight of (1.47 ± 0.55) kg, and a head circumference of (29.21 ± 1.07) cm. The intervention group had a body length of (45.00 ± 2.16) cm, a body weight of (1.83 ± 1.03) kg, and a head circumference of (30.14 ± 1.35) cm. The differences between the two groups were statistically significant ( t = 11.06, 2.06, 3.62, all P < 0.05). At 40 weeks of corrected gestational age post-intervention, the control group had a NBNA score of (30.11 ± 2.41), whereas the intervention group had an NBNA score of (34.52 ± 2.82). The difference between the two groups was statistically significant ( t = 7.97, P < 0.05). The number of patients experiencing common complications in the intervention group was lower than that in the control group [8 (17.78%) vs. 28 (62.22%), χ2 = 18.51, P < 0.05]. The control group had glycine levels of (94.07 ± 19.78) μmol/L, valine levels of (99.53 ± 13.42) μmol/L, homocysteine levels of (10.87 ± 4.43) μmol/L, cystatin levels of (233.71 ± 35.02) μmol/L, and methionine levels of (20.54 ± 4.67) μmol/L. The intervention group had glycine levels of (79.21 ± 17.54) μmol/L,valine levels of (88.70 ± 12.96) μmol/L, homocysteine levels of (13.68 ± 7.66) μmol/L, cystatin levels of (256.54 ± 35.49) μmol/L, and methionine levels of (22.97 ± 5.49) μmol/L. The differences between the two groups were statistically significant ( t = 3.77, 3.89, 2.13, 3.07, 2.26, all P < 0.05). Conclusions:Early enteral and parenteral nutritional support for low-birth-weight infants can restore their growth and development status, improve feeding conditions, enhance gastrointestinal function, and improve levels of metabolomic-related indicators.

ObjectiveThis study aims to investigate the dynamic changes in general body parameters, blood glucose, and blood lipid profiles in obese cynomolgus monkeys, exploring the correlations among these parameters and providing a reference for research on the obese cynomolgus monkey model. Methods30 normal male cynomolgus monkeys aged 5 - 17 years old (with body mass index < 35 kg/m² and glycated hemoglobin content < 4.50%) and 99 spontaneously obese male cynomolgus monkeys (with body mass index ≥35 kg/m² and glycated hemoglobin content < 4.50%) were selected. Over a period of three years, their abdominal circumference, skinfold thickness, body weight, body mass index, fasting blood glucose, glycated hemoglobin, and four blood lipid indicators were monitored. The correlations between each indicator were analyzed using repeated measurement ANOVA, simple linear regression, and multiple linear regression correlation analysis method. Results Compared to the control group, the obese group exhibited significantly higher levels of abdominal circumference, skinfold thickness, body weight, body mass index, and triglyceride (P＜0.05). In the control group, skinfold thickness increased annually, while other indicators remained stable. Compared with the first year, the obese group showed significantly increased abdominal circumference, skinfold thickness, body weight, body mass index, triglyceride, and fasting blood glucose in the second year(P＜0.05), with this increasing trend persisting in the third year (P＜0.05). In the control group, the obesity incidence rates in the second and third years were 16.67% and 23.33%, respectively, while the prevalence of diabetes remained at 16.67%. In the obese group, the diabetes incidence rates were 29.29% and 44.44% in years 2 and 3, respectively. Among the 11-13 year age group, the incidence rates were 36.36% and 44.68%, while for the group older than 13 years, the rates were 28.13% and 51.35%. Correlation analysis revealed significant associations (P＜0.05) between fasting blood glucose and age, abdominal circumference, skinfold thickness, body weight, and triglyceride in the diabetic monkeys. Conclusion Long-term obesity can lead to the increases in general physical indicators and fasting blood glucose levels in cynomolgus monkeys, and an increase in the incidence of diabetes. In diabetic cynomolgus monkeys caused by obesity, there is a high correlation between their fasting blood glucose and age, weight, abdominal circumference, skinfold thickness, and triglyceride levels, which is of some significance for predicting the occurrence of spontaneous diabetes.

Objective:To investigate the effects of early enteral and parenteral nutrition support on the growth, development, and metabolomics of low-birth-weight newborns.Methods:Ninety low-birth-weight newborns admitted to Hangzhou Maternity and Child Health Care Hospital from April 2022 to April 2024 were included in this retrospective study. They were randomly divided into a control group ( n = 45) and an intervention group ( n = 45) according to different intervention methods. The control group received routine traditional nutritional support, while the intervention group received early enteral and parenteral nutrition support. Data were collected on the growth and development status of the newborns, as well as their feeding conditions. Gastric fluid pH value, frequency of bowel sounds, and level of direct bilirubin were recorded. Physical condition was also assessed. The Neonatal Behavioral Neurological Assessment (NBNA) was used to evaluate the neurobehavioral status of the newborns. Additionally, the incidence of complications was recorded for both groups, and metabolomic changes were analyzed. Results:After intervention, the control group exhibited a time to regain birth weight of (20.67 ± 8.31) days, a time to reach a body weight of 2.0 kg of (53.57 ± 12.51) days, a lowest recorded body weight of (1.32 ± 0.21) kg, a body weight loss percentage of (12.31 ± 5.52)%, and a body weight gain of (15.02 ± 2.30) g/(kg/d). In contrast, the intervention group demonstrated a time to regain birth weight of (14.31 ± 5.62) days, a time to reach a body weight of 2.0 kg of (39.21 ± 9.32) days, a lowest recorded body weight of (1.01 ± 0.17) kg, a body weight loss percentage of (7.84 ± 4.92)%, and a body weight gain of (17.74 ± 3.94) g·kg?1·d?1. All differences between the two groups were statistically significant ( t = 4.28, 9.96, 7.69, 4.05, 4.11, all P < 0.001). The difference in the lowest body weight day between the two groups of children was not statistically significant ( P > 0.05). After intervention, the control group had an initial oral feeding duration of (8.30 ± 1.37) days, with a vomiting frequency of (10.25 ± 2.20) times, a daily milk intake of (35.38 ± 3.94) mL, a gastric fluid pH value of (3.85 ± 0.20), bowel sounds of (4.94 ± 0.97) times/minute, and a direct bilirubin level of (41.98 ± 25.76) mmol/L. In contrast, the intervention group showed an initial oral feeding duration of (4.01 ± 0.76) days, a vomiting frequency of (5.61 ± 1.24) times, a daily milk intake of (43.54 ± 4.07) mL, a gastric fluid pH value of (3.41 ± 0.12), bowel sounds of (5.86 ± 1.11) times/minute, and a direct bilirubin level of (28.98 ± 18.10) mmol/L. The differences between the two groups were statistically significant ( t = 18.36, 12.32, 9.66, 12.65, 4.18, 2.77, all P < 0.05). After intervention, the control group had a body length of (40.32 ± 1.84) cm, a body weight of (1.47 ± 0.55) kg, and a head circumference of (29.21 ± 1.07) cm. The intervention group had a body length of (45.00 ± 2.16) cm, a body weight of (1.83 ± 1.03) kg, and a head circumference of (30.14 ± 1.35) cm. The differences between the two groups were statistically significant ( t = 11.06, 2.06, 3.62, all P < 0.05). At 40 weeks of corrected gestational age post-intervention, the control group had a NBNA score of (30.11 ± 2.41), whereas the intervention group had an NBNA score of (34.52 ± 2.82). The difference between the two groups was statistically significant ( t = 7.97, P < 0.05). The number of patients experiencing common complications in the intervention group was lower than that in the control group [8 (17.78%) vs. 28 (62.22%), χ2 = 18.51, P < 0.05]. The control group had glycine levels of (94.07 ± 19.78) μmol/L, valine levels of (99.53 ± 13.42) μmol/L, homocysteine levels of (10.87 ± 4.43) μmol/L, cystatin levels of (233.71 ± 35.02) μmol/L, and methionine levels of (20.54 ± 4.67) μmol/L. The intervention group had glycine levels of (79.21 ± 17.54) μmol/L,valine levels of (88.70 ± 12.96) μmol/L, homocysteine levels of (13.68 ± 7.66) μmol/L, cystatin levels of (256.54 ± 35.49) μmol/L, and methionine levels of (22.97 ± 5.49) μmol/L. The differences between the two groups were statistically significant ( t = 3.77, 3.89, 2.13, 3.07, 2.26, all P < 0.05). Conclusions:Early enteral and parenteral nutritional support for low-birth-weight infants can restore their growth and development status, improve feeding conditions, enhance gastrointestinal function, and improve levels of metabolomic-related indicators.

Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Objective:To explore the value of contrast enhancement T1 fluid-attenuated inversion recovery sequence (CE-T1FLAIR) based on modulated flip angle technique in refocused imaging with extended echo train (MATRIX) in detecting metastases.Methods:One hundred and seventy-six patients with pathologically diagnosed malignant tumors and brain metastases accepted enhanced 3.0T MRI scan in Department of Medical Imaging, He'nan Provincial Cancer Hospital from October 2023 to February 2024 were enrolled. Lianying's intelligent brain metastasis AI-assisted detection system and sequences of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR were used to detect the brain metastasis lesions, respectively. Length of the lesions was measured according to Lianying's intelligent brain metastasis AI-assisted detection system, and all lesions were divided into 3 categories: <3 mm, 3-10 mm, and >10 mm. Differences in detection rate in brain metastases of different lengths and locations among the 3 sequences were compared.Results:Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR, and FSE CE-T1FLAIR in brain metastases were 99.67%, 90.52%, and 71.02%, which were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR in brain metastases with length<3 mm (99.24%, 79.95% and 46.45%) or length of 3-10 mm (100%, 98.19% and 87.53%) were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR (100%, 80.56% and 64.24%), 3D GRE_fsp CE-T1FLAIR (100%, 97.25% and 76.11%), and FSE CE-T1FLAIR (100%, 91.18% and 70.59%) in metastases at the superficial area of the brain convexity, gray-white matter junction area, and cerebellum were decreased successively, with significant differences ( P<0.05). Detection rates of FSE CE-T1FLAIR in brain metastases in the basal ganglia and brainstem (69.33% and 50%) were significantly lower than those of MATRIX CE-T1FLAIR and 3D GRE_fsp CE-T1FLAIR (97.33% and 92.86%; 88% and 78.57%, P<0.05). Conclusion:MATRIX CE-T1FLAIR sequence is better than 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR sequences in detecting brain metastases, especially for metastases with length<10 mm and metastases located at the superficial area of the brain convexity, gray-white matter junction area and cerebellum.

Pseudogenes have long been regarded as fossilized,nonfunctional genomes that are evidence of human evolution.However,in recent years,pseudogenes have been found to play an important role in both physiological and pathological processes,especially in tumors,regulating occurrence and development of tumors in parental gene dependence and parental gene independence,including liver cancer.In this paper,we summarized research progress of pseudogenes and their roles in proliferation,apoptosis,inva-sion and metastasis of liver cancer cells,providing new ideas for treatment of liver cancer.

Objective:To explore therapeutic efficacy and mechanism of puerarin(PUE)in treating of ulcerative colitis(UC).Methods:Network pharmacology and molecular docking technique were used to screen and analyze targets of PUE in regulating UC.C57BL/6 mice were given free access to 2.5%DSS aqueous solution for 7 days,and influence of PUE on changes in body weight and disease activity index(DAI)score were subsequently observed.Histopathological alterations of colon tissue were observed by HE staining,changes of goblet cell population in colon tissue were evaluated through Alcian blue staining;expressions of inflammatory factors in colon tissue were detected by qRT-PCR and ELISA.Effect of PUE on MODE-K cell viability and apoptosis were assessed by CCK-8 and flow cytometry.Results:A total of 38 common targets of PUE in modulating UC,such as AKT1,TNF,STAT3,CASP3,HIF1A and etc,mainly involving TNF,IL-17 and PI3K-Akt signaling pathway.In vivo experiments confirmed that PUE ameliorated degree of colon shortening,body weight and DAI scores and reduced inflammatory cell infiltration in mice.Besides,expressions of inflammatory factors in colon,such as TNF-α and IL-1β,were inhibited by PUE.Furthermore,in vitro experiments validated that PUE relieved DSS-induced apoptosis of epithelial cells.Conclusion:PUE alleviates occurrence and development of DSS-induced UC in mice.

The cell cycle is the series of events by which a cell divides into two daughter cells and is guided by a unique system of cell cycle regulation.The disorder of cell cycle regulation system is the fundamental cause of tumorigenesis.This paper will focus on the key regulatory points of cell cycle and discuss the research progress of tumor cell cycle regulation,so as to provide theore-tical basis for the development of new therapeutic strategies for tumors.

In recent years, with the high incidence of lung cancer and mortality, the disease-relevant mental health problems such as depression began to attract attention. A growing number of studies have also begun to hypothesize and confirm the relationship between depression and survival or mortality in patients with lung cancer, and have made some progress in basic research, prospective cohort research and intervention research. In basic research, cancer can cause depression due to mediating the production of inflammatory factors, and the genotype of tumor epidermis growth factor receptor (EGFR) can explain the high mortality and risk of depression in patients with lung cancer from a certain point of view. Different studies in prospective cohort studies argue that depression is an important predictor of survival in patients with lung cancer and need to be further studied. In the aspect of intervention research, although some studies have confirmed the potential of antidepressants in anti-tumor oxidative therapy, there is no enough evidence in psychological intervention and drug intervention to prove their effectiveness in improving the survival outcome of lung cancer. In the future, it is necessary to further explore the possible mechanisms for antidepressants and psychological intervention to improve the survival time of the patients.
Cohort Studies ; Depression ; Depressive Disorder ; Humans ; Lung Neoplasms ; Prospective Studies