BACKGROUND: Mild cognitive impairment (MCI) is common in atrial fibrillation (AF) patients and may develop earlier in those with multiple cardiovascular comorbidities, potentially impairing self-management and treatment adherence. This study aimed to characterize the prevalence and profile of MCI in AF patients, examine its associations with cardiovascular comorbidities, and assess how these comorbidities influence specific cognitive domains. METHODS: This cross-sectional study analyzed data from AF patients who underwent cognitive assessment between 2017 and 2021. Cognitive status was categorized as MCI or non-MCI based on the Montreal Cognitive Assessment. Associations between comorbidities and MCI were assessed by logistic regression, and cognitive domains were compared using the Mann-Whitney U test. RESULTS: Of 4136 AF patients (mean age: 64.7 ± 9.4 years, 64.7% male), 33.5% of patients had MCI. Among the AF patients, 31.2% of patients had coronary artery disease, 20.1% of patients had heart failure, and 18.1% of patients had hypertension. 88.7% of patients had left atrial enlargement, and 11.0% of patients had reduced left ventricular ejection fraction. Independent factors associated with higher MCI prevalence included older age (OR = 1.04, 95% CI: 1.03-1.05, P < 0.001), lower education level (OR = 1.51, 95% CI: 1.31-1.73, P < 0.001), hypertension (OR = 1.28, 95% CI: 1.07-1.52, P = 0.001), heart failure (OR = 1.24, 95% CI: 1.04-1.48, P = 0.020), and lower left ventricular ejection fraction (OR = 1.43, 95% CI: 1.04-1.98, P = 0.028). A higher CHA₂DS₂-VASc score (OR = 1.27, 95% CI: 1.22-1.33, P < 0.001; ≥ 2 points vs. < 2 points), and greater atherosclerotic cardiovascular disease burden (OR = 1.45, 95% CI: 1.02-2.08, P = 0.040; 2 types vs. 0 type) were linked to increased MCI risk. These above factors influenced various cognitive domains. CONCLUSIONS MCI is common in AF and closely associated with cardiovascular multimorbidity. Patients with multiple comorbidities are at higher risk, highlighting the importance of routine cognitive assessment to support self-management and integrated care.

Cardiac arrest (CA) is a critical condition in the field of cardiovascular medicine. Despite successful resuscitation, patients continue to have a high mortality rate, largely due to post CA syndrome (PCAS). However, the injury and pathophysiological mechanisms underlying PCAS remain unclear. Experimental animal models are valuable tools for exploring the etiology, pathogenesis, and potential interventions for CA and PCAS. Current CA animal models include electrical induction of ventricular fibrillation (VF), myocardial infarction, high potassium, asphyxia, and hemorrhagic shock. Although these models do not fully replicate the complexity of clinical CA, the mechanistic insights they provide remain highly relevant, including post-CA brain injury (PCABI), post-CA myocardial dysfunction (PAMD), systemic ischaemia/reperfusion injury (IRI), and the persistent precipitating pathology. Summarizing the methods of establishing CA models, the challenges encountered in the modeling process, and the mechanisms of PCAS can provide a foundation for developing standardized CA modeling protocols.
Animals ; Disease Models, Animal ; Post-Cardiac Arrest Syndrome/physiopathology* ; Heart Arrest/physiopathology* ; Humans ; Ventricular Fibrillation/complications*

Objective:To explore the correlation between high cholinergic pathway signaling and cognitive function in patients with Parkinson disease(PD) accompanied with sleep disorder.Methods:PD patients admitted from 2017 to 2022 were divided into PD with sleep disorder group (PD-SD group) ( n=56) and PD without sleep disorder group (PD-NSD group) ( n=41) according to the Parkinson's disease sleep scale (PDSS) score. All participants underwent magnetic resonance imaging examination.All patients were evaluated by the PDSS, Hoehn-Yahr (H-Y), Montreal cognitive assessment scale (MoCA), and cholinergic pathways hyper intensities scale (CHIPS). The difference of cognitive function between the two groups and the correlation between CHIPS and cognitive function were analyzed.Independent sample t-test, Spearman correlation analysis, and binary Logistic regression analysis were performed on the data by SPSS 26.0 statistical software. Results:(1)The MoCA score of the PD-SD group (22.00 (5.00)) was lower than that of the PD-NSD group (26.00 (5.00)) ( Z=-3.830, P<0.05). The total and all aspects scores of CHIPS in PD-SD group were higher than those in PD-NSD group(the total score of the low external capsule: 12.00(8.00), 0(8.00), the total score of the high external capsule: 12.00(2.00), 6.00(9.00), the total score of the radial crown: 8.00(0), 4.00(4.00), the total score of the centrum semiovale: 3.00(4.00), 0(2.00), the total score of the right side: 16.00(9.00), 5.00(10.00), the total score of the left side: 17.00(6.00), 7.00(9.00), the total score of CHIPS: 32.00(14.00), 14.00(20.00))( Z=-5.081, -5.873, -4.933, -3.211, -5.562, -6.232, -5.995, all P<0.05). (2)The correlation analysis between the score of CHIPS and cognitive function in the PD-SD group showed that, the total score of the low external capsule ( r=-0.286), the total score of the centrum semiovale ( r=-0.307), the total score of the right side ( r=-0.376), the total score of the left side ( r=-0.284) and the total score of CHIPS ( r=-0.349) were negatively correlated with MoCA(all P<0.05). (3)Binary Logistic regression analysis showed that white matter lesions in centrum semiovale, low inner capsule, right and left leukodystrophy were not influence factors for cognitive impairment (all P>0.05). Conclusion:PD patients with sleep disorders have lower cognitive function scores, higher CHIPS scores, and significant changes in white matter lesions compared to those without sleep disorders. In PD patients with sleep disorders, the higher the CHIPS score, the lower the cognitive function score, and the more significant the rate of cognitive impairment occurrence and development.

Hepatocellular carcinoma （HCC） is the sixth most common cancer in the world. In recent years， the clinical early diagnosis and treatment protocols of HCC have been improved， whereas the prognosis of patients is still not satisfactory， which is due to the fact that the mechanism of HCC development has not been fully elucidated. Therefore， it is of great significance to explore the molecular mechanisms and key regulatory links of hepatocellular carcinoma development to further improve the diagnosis and treatment of HCC in China. Epigenetics has become a research hotspot because of its reversibility and easy regulation. According to relevant studies， HCC involves the accumulation of multiple genetic and epigenetic changes during the initiation， promotion， and progression stages. HCC is categorized as infantile malnutrition with accumulation， hypochondriac pain， tympan ites， and abdominal mass in traditional Chinese medicine （TCM）. In the treatment of HCC， TCM with low toxicity， multi-targets， and multi-mechanisms can inhibit tumor growth， alleviate the clinical symptoms， and enhance the quality of life of the patients. Chinese medicines and their active ingredients exert anti-HCC effects through epigenetic regulation of DNA methylation， histone modification， and non-coding RNA. Abnormal gene expression due to epigenetic regulation disorders is involved in all stages of HCC development. There are few studies on epigenetic regulation in TCM treatment of HCC， and there is still much room for development in basic and clinical trials. This paper reviews the mechanism of epigenetic regulation in HCC and summarizes the experimental results of TCM research on the related mechanism， with a view to providing a theoretical basis for future research on the mechanism of HCC development and clinical diagnosis and treatment of hepatocellular carcinoma with TCM.

[Objective] To analyze the influence of the cycle length of hepatitis B surface antigen (HBsAg) double reagent positive samples collected from voluntary blood donors in Guangzhou on the detection results. [Methods] A total of 127 044 blood samples from voluntary blood donors at Guangzhou Blood Center from August 10 to December 9, 2023 were selected. Two ELISA reagents were used for HBsAg detection, and samples with HBsAg double reagent positive and S/CO values<10 were tested continuously for 7 days to observe the changes in their S/CO values. [Results] A total of 505 HBsAg double reagent positive samples were detected, of which 52 had S/CO values less than 10. After 7 consecutive days of uninterrupted testing, the S/CO values of Wantai (median 5 decreased to 3) and Xinchuang (median 5 decreased to 3) showed an overall downward trend, and the HBsAg missed detection rate showed an upward trend (from 0 on the first day to 1/10 000 on the seventh day). A total of 13 cases had negative double reagent test results within the 7-day testing cycle. [Conclusion] With the extension of the detection cycle, the S/CO value of HBsAg detection shows a downward trend, and the missed detection rate of HBsAg shows an upward trend. Samples used for HBsAg detection should be tested promptly after sampling to improve the quality of blood testing.

Objective To investigate the mechanism of 2,6-dimethoxy-1,4-benzoquinone(DMQ),an active ingredients in fermented wheat germ extract,for inhibiting NLRP3 inflammasome activation and alleviating septic shock in mice.Methods Cultured murine bone marrow-derived macrophages(BMDM)stimulated with lipopolysaccharide(LPS)were treated with DMQ,followed by treatment with Nigericin,ATP,and MSU for activating the canonical NLRP3 inflammasome;the non-canonical NLRP3 inflammasome was activated by intracellular transfection of LPS,and AIM2 inflammasome was activated using Poly A:T.In human monocytic THP-1 cells,the effect of Nigericin on inflammasome activation products was examined using Western blotting and ELISA.Co-immunoprecipitation was performed to explore the mechanism of DMQ-induced blocking of NLRP3 inflammasome activation.In a male C57BL/6J mouse model of LPS-induced septic shock treated with 20 and 40 mg/kg DMQ,the levels of IL-1β and TNF-α in the serum and peritoneal lavage fluid were determined using ELISA,and the survival time of the mice within 36 h was observed.Results Treatment with DMQ effectively inhibited LPS-induced activation of canonical NLRP3 inflammasome in mouse BMDM and human THP-1 cells and also inhibited non-canonical NLRP3 inflammasome activation in mouse BMDM,but produced no significant effect on AIM2 inflammasome activation.DMQ significantly blocked the binding between ASC and NLRP3.In the mouse models of septic shock,DMQ treatment significantly reduced the levels of IL-1β in the serum and peritoneal fluid and obviously prolonged survival time of the mice.Conclusion DMQ can effectively block ASC-NLRP3 interaction to inhibit NLRP3 inflammasome activation and alleviate LPS-induced septic shock in mice.

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.

Objective To evaluate the acute exacerbation of chronic obstructive pulmonary disease(COPD)(AECOPD)status via combining clinical data,lung function parameters with CT radiomic features based on machine learning method.Methods A total of 343 COPD patients,including 158 AECOPD patients and 185 non-AECOPD patients were retrospectively selected and randomly divided into training and testing sets at a ratio of 7∶3.The radiomics features were calculated after automatically delineating the whole lung volume of interest(VOI).Five machine learning methods were used to construct the AECOPD diagnostic model,then the corresponding Radiomics score(Rad-score)was calculated in the training set and was validated in the testing set.The logistic-combined model was established after integrating age,Global Initiative for Chronic Obstructive Lung Disease(GOLD)classification,vital capacity(VC),forced vital capacity(FVC),forced expiratory volume in one second(FEV1),FEV1％pred,FEV1/FVC％,peak expiratory flow(PEF),maximum ventilatory volume(MVV),and Rad-score value.The area under the curve(AUC)of receiver operating characteristic(ROC)curve was calculated to evaluate the evaluated performance of all models.Results The logistic regression model had the best diagnostic performance,with AUC of 0.724 and 0.758 in the training and testing sets,respectively.The performance of the logistic-combined model to diagnose AECOPD was superior to that of the single logistic regression model,with the AUC of 0.777 and 0.760 in the training and testing sets,respectively.Conclusion A combination strategy including clinical data,lung function parameters,and CT radiomics may be helpful to diagnose AECOPD status,with moderate diagnostic performance.

Objective:To analyze the clinical characteristics and genetic basis of a male patient with primary infertility caused by Acephalic spermatozoa syndrome.Methods:A patient who had presented at the Henan Provincial People′s Hospital on October 1, 2022 was selected as the study subject. Clinical data and results of laboratory exams and sperm electron microscopy were collected. The patient was subjected to whole exome sequencing (WES), and candidate variants were verified by Sanger sequencing and pathogenicity analysis.Results:WES revealed that the patient has harbored compound heterozygous variants of the PMFBP1 gene, namely c. 853del (p.Ala285Leufs*24) and c. 1276A>T (p.Lys426X), which were both unreported previously. Sanger sequencing suggested that the c. 853del (p.Ala285Leufs*24) variant has derived from his deceased mother, whilst the c. 1276A>T (p.Lys426X) variant has derived from his father. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were classified as pathogenic (PVS1+ PM2_Supporting+ PP4). Conclusion:The compound heterozygous variants of the PMFBP1 gene probably underlay the Acephalic spermatozoa syndrome in this patient. The discovery of the novel variants has also enriched the mutational spectrum of Acephalic spermatozoa syndrome.

Objective To investigate the mechanism of 2,6-dimethoxy-1,4-benzoquinone(DMQ),an active ingredients in fermented wheat germ extract,for inhibiting NLRP3 inflammasome activation and alleviating septic shock in mice.Methods Cultured murine bone marrow-derived macrophages(BMDM)stimulated with lipopolysaccharide(LPS)were treated with DMQ,followed by treatment with Nigericin,ATP,and MSU for activating the canonical NLRP3 inflammasome;the non-canonical NLRP3 inflammasome was activated by intracellular transfection of LPS,and AIM2 inflammasome was activated using Poly A:T.In human monocytic THP-1 cells,the effect of Nigericin on inflammasome activation products was examined using Western blotting and ELISA.Co-immunoprecipitation was performed to explore the mechanism of DMQ-induced blocking of NLRP3 inflammasome activation.In a male C57BL/6J mouse model of LPS-induced septic shock treated with 20 and 40 mg/kg DMQ,the levels of IL-1β and TNF-α in the serum and peritoneal lavage fluid were determined using ELISA,and the survival time of the mice within 36 h was observed.Results Treatment with DMQ effectively inhibited LPS-induced activation of canonical NLRP3 inflammasome in mouse BMDM and human THP-1 cells and also inhibited non-canonical NLRP3 inflammasome activation in mouse BMDM,but produced no significant effect on AIM2 inflammasome activation.DMQ significantly blocked the binding between ASC and NLRP3.In the mouse models of septic shock,DMQ treatment significantly reduced the levels of IL-1β in the serum and peritoneal fluid and obviously prolonged survival time of the mice.Conclusion DMQ can effectively block ASC-NLRP3 interaction to inhibit NLRP3 inflammasome activation and alleviate LPS-induced septic shock in mice.