Purpose To investigate the feasibility of texture analysis of breast contrastenhanced magnetic resonance imaging in differentiating non-puerperal mastitis and breast carcinoma with non-mass-like enhancement in order to prevent misdiagnosis of nonpuerperal mastitis.Materials and Methods In this retrospective study,the contrastenhanced MRI images of 42 female patients of invasive ductal carcinoma with non-masslike enhancement and 30 female patients of non-puerperal mastitis were analyzed.3234 texture features were generated from manually selected region of interest (ROI) of normal breast tissue and breast lesions.By means of genetic algorithm and linear discriminative analysis,10 texture features were selected based on their stability and accuracy in breast tissue classification.Results With these 10 features,the linear discriminative analysis classifiers had sensitivity of 92.9％ and specificity of 90.0％ in classifying two lesions,and accuracy of 89.6％ in classifying all three types of tissue.The result showed that texture analysis successfully differentiate non-puerperal mastitis and breast carcinoma with nonmass-like enhancement.Conclusion Texture analysis demonstrates the ability of differentiating invasive ductal carcinoma with non-mass-like enhancement,non-puerperal mastitis and normal breast tissue,and provides reliable results for clinical diagnosis.

Objective:To investigate the relationship between different obesity metabolic phenotypes and the incidence of new carotid artery plaque.Methods:The present study is a retrospective cohort study, collecting individuals from the Health Management Center of the Second Affiliated Hospital of Dalian Medical University who had two or more cervical vascular color ultrasound examinations and met the inclusion criteria from 2014 to 2022, and collected their baseline clinical data. According to whether the subjects were obese and had metabolic syndrome, they were divided into metabolically healthy non-obese group, metabolically unhealthy non-obese group, metabolically healthy obese group, and metabolically unhealthy obese group. The first physical examination time of the subjects was taken as the starting point of follow-up, and cervical vascular color ultrasound was performed during the follow-up physical examination, with the outcome event being carotid artery plaque. Kaplan-Meier survival curve analysis was used to analyze the cumulative incidence of carotid artery plaques in the four groups and log-rank test was performed, and a multifactorial Cox proportional hazards model was used to analyze the relationship between different obesity metabolic phenotypes and the risk of carotid artery plaque incidence.Results:A total of 4 890 subjects were enrolled, aged (45.4±9.6) years, and 2 754 (56.3%) males. The follow-up time was 1.14(0.93, 2.20) years. Compared with the other 3 obesity metabolic phenotypes, the incidence of carotid plaques in the metabolically unhealthy obesity group was the highest (15.4% (286/1 861)). Kaplan-Meier survival curve analysis showed that the cumulative incidence of carotid plaques in metabolically unhealthy obese subjects was about 2.962 times that of metabolically healthy non-obese subjects (log-rank P<0.001). Multivariate Cox regression results showed that the risk of carotid plaque in metabolically unhealthy obese subjects was 1.650 times that of metabolically healthy non-obese subjects (95% CI: 1.203-2.264, P=0.002). Conclusion:Metabolically unhealthy obesity phenotype is an independent risk factor for carotid plaque.

Objective:To construct the intelligent medical cloud management platform of diabetes education clinic in ClassⅢ general hospital and observe the clinical effects.Methods:A total of 260 young and middle-aged patients with type 2 diabetes mellitus (T2DM) who were admitted to Department of Endocrinology in the First Affiliated Hospital of Henan University from June to December 2019 were selected by convenience sampling method. They were divided into the control group and the experimental group by the random number table method, with 130 cases in each group. Patients in the control group were given routine diabetes outpatient follow-up, while the experimental group was given group education, case management, behavioral intervention, condition supervision and online follow-up intervention based on the intelligent medical cloud management platform of the diabetes education clinic. The blood glucose control status and the self-management ability of the two groups before and after 3 months of intervention were compared.Results:After intervention for 3 months, fasting plasma glucose (FPG) , 2h plasma glucose of 75g oral glucose tolerance test (OGTT 2h PG) and hemoglobin A1c (HbA1c) of patients in two groups were reduced than those before intervention, and FPG, OGTT 2h PG and HbA1c levels in the experimental group were lower than those in the control group. The differences were statistically significant ( P<0.05) . The mean blood glucose (MBG) and mean amplitude of plasma glucose excursions (MAGE) in the experimental group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . After 3 months of intervention, blood glucose was monitored 6 833 times in the control group and 7 279 times in the experimental group. The incidence of hypoglycemia in the experimental group was lower than that in the control group [0.77% (56/7 279) vs. 2.82% (193/6 833) , χ 2=85.885, P<0.05]. After 3 months of intervention, the scores of diet, exercise, blood glucose monitoring, prevention of complications and medical compliance in the two groups were all higher than those before intervention, and the scores of diet, exercise, blood glucose monitoring and medical compliance in the experimental group were higher than those in the control group. The differences were statistically significant ( P<0.01) . Conclusions:The construction and application of intelligent medical cloud management platform of diabetes education clinic can better improve blood glucose control and improve self-management ability of patients.

Objective:To study the correlation between different body weight metabolic phenotypes and their changes and new-onset hyperuricemia in physical examination population.Methods:This study was a retrospective cohort study. A total of 31 956 people who underwent routine physical examination and met the inclusion and exclusion criteria at the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 1, 2014 to August 31, 2022 were selected as the study subjects to establish a dynamic physical examination cohort. The end point of follow-up was new-onset hyperuricemia or the end of follow-up period. Cox regression stepwise fitting model was used to analyze the risk of different body weight metabolic phenotypes and hyperuricemia, and stratified analysis was performed for gender. According to body weight metabolic phenotype, the subjects were divided into normal metabolism and normal weight(NMNW) group, normal metabolism and obesity (NMO) group, abnormal metabolism and normal weight (AMNW) group and abnormal metabolism and obesity (AMO) group. The risk of hyperuricemia was calculated according to the changes of body weight metabolic phenotype during the follow-up period. In the sensitivity analysis, the robustness of the results was verified by changing the diagnostic criteria for hyperuricemia, removing patients with hyperuricemia at the first year of follow-up, and removing subjects aged ≥65 years.Results:Compared with the NMNW group, the risk of hyperuricemia in the NMO group, AMNW group and AMO group increased by 78.9%, 61.3%, 115.4%, respectively ( χ2=272.88, 128.15, 496.12, all P<0.001). Patients who were initially classified as NMNW at baseline, if transitioned to NMO or AMO by the follow-up endpoint, their risk of hyperuricemia increased by 122.5% ( χ2=8.01, P<0.05) and 137.4% ( χ2=15.99, P<0.001), respectively. When the baseline AMNW group changed to AMO, the risk of hyperuricemia was increased by 119.2% ( χ2=6.63, P<0.05). For patients with AMO as baseline, if they turned into NMNW and AMNW at the end of follow-up, their risk of hyperuricemia would decrease by 58.3% ( χ2=43.67, P<0.001) and 27.2% ( χ2=16.07, P<0.001). Patients with a baseline of NMO who transitioned to NMNW and AMNW at the follow-up endpoint had their risk of developing hyperuricemia decreased by 36.7% ( χ2=25.35, P<0.001) and 30.9% ( χ2=9.70, P<0.05), respectively. Conclusions:The transition from metabolic health and non-overweight obesity to metabolic abnormalities and overweight obesity is associated with an increased risk of hyperuricemia, and improvements in metabolic health or weight are associated with a decreased risk of hyperuricemia.

Objective:To explore the relationship between weight change and the development of hyperuricemia (HUA) in adults receiving health checkups.Methods:A retrospective cohort study. A total of 37 722 subjects who underwent two or more health checkups at the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 2014 to December 2022 were included, and the general information and laboratory findings at the time of the initial health checkups and follow-up were collected. Weight change was defined as the ratio of difference between the weight at the last follow-up and the baseline weight to baseline weight. The subjects were grouped with weight change: significant weight loss group (weight change ≤-5.0%), mild weight loss group (-5.0%

Objective:To investigate the association between different dietary patterns and subtypes of metabolic associated fatty liver disease(MAFLD).Methods:A total of 6 022 check-ups at the health management center of the Second Hospital of Dalian Medical University from January 2022 to March 2023 were selected as study subjects. MAFLD was categorised into three subtypes: overweight/obese type, metabolic disorder type, and diabetic type. Factor analysis was used to extract dietary patterns. Logistic regression was used to assess the impact of dietary patterns on MAFLD occurrence, constructing interaction models between dietary patterns intake and age, gender, and physical exercise levels. Results:Four dietary patterns were extracted based on feature sorting after factor analysis and were named as the high-quality protein pattern, the fruit-vegetable pattern, egg-aquatic pattern, and the processed meat pattern. Regression analysis of the unadjusted model showed that overweight/obese and diabetic types of MAFLD were negatively associated with the high-quality protein mode, while model-adjusted regression analysis showed that the processed meat pattern was positively associated with the risk of MAFLD, and fruit-vegetable pattern was positively associated with overweight/obese MAFLD( P<0.05). The results of subgroup analyses suggested that female( OR=1.55, 95% CI 1.14-2.15) with a high intake of pickle pattern had a higher risk of overweight/obese MAFLD than male( OR=1.18, 95% CI 1.02-1.49). Conclusion:High-quality protein pattern was negatively correlated with MAFLD, whereas fruit-vegetable pattern and processed meat pattern were positively correlated with MAFLD. Female with high consumption of processed meat pattern are more likely to develop overweight/obesity MAFLD compared with male. It is recommended that people with MAFLD reduce their intake of processed products and high-fructose food, and consume adequate amounts of high-quality protein food to maintain a balanced diet.

Objective:To investigate the relationship between obesity and incident chronic kidney disease(CKD) in a population undergoing health check-ups.Methods:This is a retrospective cohort study. A total of 31 251 participants who had at least 2 health physical examinations in the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 2017 to December 2022 and met the inclusion criteria were selected. The participants were divided into normal body weight group, overweight group, and obese group according to baseline body mass index. Cox proportional hazard regression model was used to analyze the relationship between obesity and new-onset CKD, and the dose-response relationship between body mass index and CKD was analyzed with restricted cubic splines.Results:Multivariate Cox regression analysis showed that the risk of developing CKD increased by 13%( HR=1.13, 95% CI 1.01-1.25) and 55%( HR=1.55, 95% CI 1.36-1.76) in the overweight and obese group compared to the normal weight group. Subgroup analysis indicated that obese women had a higher risk of developing CKD compared to men. There was a " U-shaped" correlation between body mass index and CKD in male population, with the lowest risk of CKD occurring at body mass index of 19.6-24.2 kg/m 2. In women, the relationship between body mass index and CKD was approximately linear, with the risk of CKD gradually increasing when body mass index exceeded 22.5 kg/m 2. Conclusions:Obesity is an independent risk factor for new-onset CKD, and obese women have a higher risk of developing CKD than men. Regarding CKD prevention, men are advised to maintain a higher level of body weight within the normal range of body mass index, while women are encouraged to control their weight to a lower level within the normal body mass index range.

Objective:To explore the correlation between systemic immunity-inflammation index(SII) and hyperuricemia(HUA).Methods:Participants who had at least 3 health checkups in the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 2014 to December 2022 were selected to construct a dynamic cohort. The SII, reflecting the inflammatory state of the body, was constructed using neutrophil, platelet, and lymphocyte counts. A Cox proportional hazard regression model was used to explore the association between SII and HUA in the overall population and different subgroups of the population, and sensitivity analysis was performed twice. Results:A total of 20 022 subjects were included, and the mean follow-up time was 3.67 years. After adjusting for confounding factors, each unit increase in the natural logarithm of SII(lnSII) was associated with a 24% increased risk of hyperuricemia( HR=1.24, 95% CI 1.16-1.32, P<0.001). As a categorical variable, compared with the lowest quartile array( Q1), the risk of HUA in the total population increased by 12%( HR=1.12, 95% CI 1.03-1.21, P=0.006), 14%( HR=1.14, 95% CI 1.06-1.24, P=0.001), 27%( HR=1.27, 95% CI 1.17-1.37, P<0.001) in Q2, Q3 and Q4 groups within the general population, respectively. All subgroup analysis and sensitivity analysis showed that SII was positively correlated with HUA. Conclusions:Elevated levels of SII significantly increase the risk of HUA. Assessing the body′s inflammatory status using SII can aid in risk screening and preventive management for individuals at high risk of HUA.

Parthenogenetic embryonic stem (pES) cells isolated from parthenogenetic activation of oocytes and embryos, also called parthenogenetically induced pluripotent stem cells, exhibit pluripotency evidenced by both in vitro and in vivo differentiation potential. Differential proteomic analysis was performed using differential in-gel electrophoresis and isotope-coded affinity tag-based quantitative proteomics to investigate the molecular mechanisms underlying the developmental pluripotency of pES cells and to compare the protein expression of pES cells generated from either the in vivo-matured ovulated (IVO) oocytes or from the in vitro-matured (IVM) oocytes with that of fertilized embryonic stem (fES) cells derived from fertilized embryos. A total of 76 proteins were upregulated and 16 proteins were downregulated in the IVM pES cells, whereas 91 proteins were upregulated and 9 were downregulated in the IVO pES cells based on a minimal 1.5-fold change as the cutoff value. No distinct pathways were found in the differentially expressed proteins except for those involved in metabolism and physiological processes. Notably, no differences were found in the protein expression of imprinted genes between the pES and fES cells, suggesting that genomic imprinting can be corrected in the pES cells at least at the early passages. The germline competent IVM pES cells may be applicable for germ cell renewal in aging ovaries if oocytes are retrieved at a younger age.
Animals ; Cell Line ; Electrophoresis, Gel, Two-Dimensional ; Mice ; Parthenogenesis ; physiology ; Pluripotent Stem Cells ; metabolism ; Proteomics ; methods