Objective:To investigate the effect of miR-503 targeting CBX2 on drug resistance of breast cancer MDA-MB-231 cells and its potential mechanism.Methods:miR-con group, miR-503 group, si-con group, two groups of si-chromosome homologues (CBX), anti-miR-con group, anti-miR-503 group, miR-503+pcDNA group, miR-503+pcDNA-CBx2 group were set up. Real-time quantitative fluorescence polymerase chain reaction (qRT-PCR) was used to detect the expression levels of miR-503 and CBX2 mRNA. Western blot was used to detect protein expression. Cell activity was detected by MTT assay. The targeted regulatory relationship was detected by double luciferase assay.Results:Compared with normal breast cells HBL-100 (1.02±0.09), the expression level of miR-503 in breast cancer cells MCF-7 (0.41±0.05), MDA-MB-231 (0.25±0.03) and BT474 (0.35±0.04) was significantly decreased. The expression levels of CBX2 mRNA in MCF-7, MDA-MB-231 and BT474 cells were (4.02±0.35), (4.62±0.36) and (3.47±0.33), respectively. The expression levels of CBX2 protein in MCF-7, MDA-MB-231 and BT474 cells were (0.64±0.07), (0.74±0.05) and (0.68±0.06), respectively. The mRNA and protein contents of CBX2 in normal breast cells HPL-100 were (1.01±0.08) and (0.40±0.04), respectively, and the expression of CBX2 in breast cancer cells was significantly higher than that in normal breast cells ( P<0.05). Overexpression of miR-503 (3.64± 0.30) and silting of CBX2 inhibited proliferation, migration and invasion of MDA-MB-231 cells, and inhibited CBX2 (0.26±0.03), cyclin-dependent kinases, CDK) 4 (0.32± 0.03), Cyclin (CCN) D1 (0.58±0.03), matrix metalloproteinases (matrix metalloproteinases), MMP-2 (0.32±0.03) and MMP-9 (0.32±0.04) ( P<0.05). miR-503 targeted the expression of CBX2, and overexpression of CBX2 (0.75±0.03) could reverse the proliferation and drug resistance of miR-503 to MDA-MB-231 breast cancer cells. Conclusion:miR-503 may inhibit the proliferation, migration and invasion of breast cancer cells by down-regulating the expression of CBX2.

Cranial magnetic resonance imaging (MRI) examinations were performed in 419 patients with type 2 diabetes mellitus (T2DM) from June to December 2016.The brain white matter lesions were defined by white matter hyperintensity (WMH) in MRI,which was detected in 380 cases (WMH group) and not detected in 39 cases (non-WMH group).The Montreal Cognitive Assessment (MoCA) was used to evaluate the cognitive function.The study showed that there were significant differences in the duration of diabetes,the proportion of hypertension,total cholesterol (TC) and MoCA scores between the two groups (all P＜0.05).The age,duration of diabetes,hypertension and glyclated hemoglobin (HbA1c) were significantly correlated with white matter lesions(OR=1.157,1.116,5.184,1.128;P＜0.05);and the white matter lesions,age,and body mass index (BMI) were significantly correlated with cognitive dysfunction in diabetic patients (OR=2.137,1.175,1.247;P＜0.05).The study result indicates that control of white matter lesions may prevent and improve cognitive dysfunction in T2DM patients.

Objective To genetically investigate the protective effects of statins on breast cancer. Methods Instrumental variables for the statin target gene HMGCR and five other cholesterol-regulated genes (LDLR, PCSK9, ABCG8, APOB, and NPC1L1) were obtained from previous expression quantitative trait locus (eQTL) studies. Cholesterol-regulated genes predicted by these instrumental variables served as the exposure factors. Mendelian randomization based on pooled data (SMR) was conducted to explore the genetic effects of exposure factors on the incidence risk of all breast cancers, ER+ breast cancer, and ER-breast cancer. Instrumental variables for total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C) were derived from a previous human genome-wide association study and restricted to be chromosomally located within 100 kb of the above cholesterol regulatory genes; the instrumental variables could predict TC, LDL-C, or non-HDL-C levels under the regulation of the abovementioned cholesterol-associated genes which were used as exposure factors. Two-sample Mendelian randomization (IVW, MR-PRESSO, and MR-Egger) was used to explore the genetic effects of exposure factors on the risk of all breast cancers, ER+ breast cancer, and ER− breast cancer. Results SMR analysis reported that elevated HMGCR expression was significantly associated with the increased incidence risk of all breast cancers and ER+ breast cancer (P=0.044 and P=0.039, respectively) but not with the change in incidence risk of ER− breast cancer (P=0.190); the other five regulatory genes were not significantly correlated with the change in incidence risk of all breast cancers, ER+ breast cancer, and ER− breast cancer (all P>0.05). IVW analysis reported that under the regulation of HMGCR, elevated levels of peripheral TC, LDL-C, and non-HDL-C significantly increased the incidence risk of all breast cancers (P=1.160e-05, P=1.248e-05, and P=1.869e-05) and the incidence risk of ER+ breast cancer (P=3.181e-04, P=2.231e-04, and P=3.520e-04), but they were not associated with a change in the incidence risk of ER− breast cancer (P=0.062, P=0.133, and P=0.055). The results of MR-PRESSO and MR-Egger analyses supported the IVW results. Conclusion Statins could reduce the incidence risk of ER+ breast cancer at the genetic level, but there is no such protective effects on ER− breast cancer.

Objective:To explore the latent classes of health behavior and explore the predictive factors among stroke patients.Methods:A total of 1 250 participants were recruited using cluster random sampling in September 2022. The general information, the modified Rankin scale(mRS), stroke prevention knowledge questionnaire(SPKQ), health behavior scale for stroke patients (HBS-SP), and short form-health belief model scale (SF-HBMS) were administered in the cross-sectional survey. Mplus 8.3 software was used to conduct a latent class analysis (LCA) on the health behavior of stroke patients, and SPSS 27.0 software was used to carry out multinomial Logistic regression to analyze the predictive factors of different latent classes of health behavior of stroke patients.Results:The health behavior of stroke patients obtained three latent classes: low health behaviors-lack of health responsibility group (66.9%, n=794), moderate health behaviors-poor compliance group (11.9%, n=141), and good health behaviors-insufficient exercise group (21.2%, n=251). Compared with good health behaviors-insufficient exercise group, stroke patients with shorter duration education time ( B=-0.589, OR=0.555, P=0.036), hemorrhagic stroke ( B=0.082, OR=1.086, P<0.001), fewer comorbidities ( B=-0.022, OR=0.978, P=0.026), higher mRS score ( B=-0.046, OR=1.047, P=0.004), lower SPKQ score ( B=-0.055, OR=0.947, P=0.016), and lower SF-HBMS score ( B=-0.085, OR=0.919, P<0.001) were more likely to be included in moderate health behaviors-poor compliance group. However, stroke patients with shorter duration education time ( B=-0.026, OR=0.974, P=0.003), rural areas dwelling ( B=0.800, OR=2.225, P=0.004), fewer comorbidities ( B=-0.056, OR=0.945, P<0.001), lower SPKQ score ( B=-0.101, OR=0.904, P<0.001), and lower SF-HBMS score ( B=-0.071, OR=0.931, P<0.001) were more likely to be included in low health behaviors-lack of health responsibility group. Conclusion:The health behavior of stroke patients has three latent classes. A targeted intervention should be carried out according to the characteristics of different classes to improve their health behavior levels.

Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.