Lipid management is crucial to reduce risk of atherosclerotic cardiovascular disease(ASCVD).This version of"Chinese Expert Recommendations on Lipid Management and Quality Control for Community Hospitals"is updated based on"2023 Chinese Guideline for Lipid Management"and provides simplified guidance more suitable for general practitioners.In addition,this version adds new quality control indicators to promote the implementation of lipid management and improve its effectiveness.

Lipid management is crucial to reduce risk of atherosclerotic cardiovascular disease(ASCVD).This version of"Chinese Expert Recommendations on Lipid Management and Quality Control for Community Hospitals"is updated based on"2023 Chinese Guideline for Lipid Management"and provides simplified guidance more suitable for general practitioners.In addition,this version adds new quality control indicators to promote the implementation of lipid management and improve its effectiveness.

Aim To study the effect of liraglutide on myocardial metabolites and related metabolic pathways in diabetic cardiomyopathy(DCM)rats.Methods Among 60 SPF male SD rats aged 3 weeks,10 rats were randomly selected as normal control group(n=10),and the remaining 50 rats were established by peritoneal injection of streptozoto-cin combined with high-sugar and high-fat diet for DCM rat model.A total of 36 rats were successfully modeled for DCM and randomly divided into DCM model group(DCM group,n=12),low-dose liraglutide treatment group(LL group,n=12)and high-dose liraglutide treatment group(HL group,n=12).Rats in LL group(100 μg/kg)and HL group(200μg/kg)were given intraperitoneal injection of liraglutide once a day.And after 12 weeks of intervention,the rats were killed under anesthesia after echocardiography to detect cardiac function,and the heart tissues were taken for metabolomics detection.The differential metabolites and related pathways that may be related to liraglutide improving myocardial metab-olism in DCM rats were screened and enriched.Results Compared with normal control group,left ventricular ejection fraction(LVEF)and left ventricular fractional shortening(LVFS)in DCM group were significantly decreased,and the ra-tio of early to late diastolic mitralflow velocities(E/A)was significantly increased(P＜0.05).Compared with DCM group,LVEF and LVFS in LL group and HL group were significantly increased,and E/A ratio was significantly decreased(P＜0.05),suggesting that the impairment of left ventricular systolic and diastolic function in LL group and HL group was significantly alleviated.395 metabolites were detected by metabolomics,among which 239,116 and 187 different metab-olites and 13,6 and 20 metabolic pathways were enriched in DCM group and normal control group,LL group and DCM group,HL group and DCM group.In the above three groups,29 key differential metabolites were identified related to 3 metabolic pathways including choline metabolic pathway,caffeine metabolic pathway and valine,leucine and isoleucine bi-osynthesis pathway,among which choline metabolic pathway had the most significant differences.Conclusion These results indicated that liraglutide can ameliorate cardiac dysfunction in DCM rats through improving myocardial metabolism in which choline metabolism pathway may play a key role.

Objective:To retrospectively analyze the bone marrow characteristics of methimazole-induced agranulocytosis and other hematologic damage, and to explore its correlation with clinical features and prognosis.Methods:The bone marrow and clinical parameters of 20 patients of Graves′ disease diagnosed with methimazole-induced agranulocytosis at the First Affiliated Hospital of Xi′an Jiaotong University from January 2000 to December 2022 were collected. The intergroup differences in bone marrow characteristics and granulocyte recovery time were analyzed. Differences in peripheral blood and bone marrow characteristics between patients with single agranulocytosis and pancytopenia were compared. Besides, literature review of the bone marrow characteristics of methimazole-induced hematologic diseases was conducted.Results:Compared to patients with bone marrow characteristics of granulocyte and precursor maturation disorders(Type Ⅱ), patients with aplastic marrow(Type Ⅰ) had significant decreases in the proportions of granulocytes in all phases( P<0.05). Patients with bone marrow characteristics of Type Ⅰ had a significant increase in the proportion of the lymphocyte system [51.00%(41.50%, 75.50%) vs 22.00%(14.00%, 35.00%), P=0.002], and got a longer to recovery time [(6.58±1.68)d vs(3.71±1.60)d, P=0.003]; Correlation analysis suggested the granulocyte to erythrocyte ratio was negatively correlated with the granulocyte recovery time( r=-0.520, P=0.023), and the proportion of the bone marrow lymphocyte was positively correlated with granulocyte recovery time( r=0.622, P=0.004). Compared to patients with single agranulocytosis, patients with pancytopenia had a markedly longer hospital stay duration [(27.14±5.27)d vs(14.15±7.36)d, P=0.001]. Literature review suggestsed that methimazole may cause various degrees of damage to blood system and bone marrow. Conclusion:Methimazole can induce a variety of hematologic damages. Analysis of bone marrow characteristics can aid in further prognosis assessment. Clinicians should be vigilant about potential hematologic adverse reactions when using methimazole and promptly diagnose and treat them to prevent serious consequences.

Objective To perform a visual bibliometric analysis of hot spots as well as areas of Brucella disease research by searching brucellosis related literature. Methods A thematic search was conducted in the web of science core set database using Brucella disease or brucellosis as keywords to retrieve literature between January 1985 and December 2021. CiteSpace was used to visualize the countries, institutions, authors, and keywords in the retrieved relevant literatures. Results A total of 4 495 eligible articles studies were included, with the United States being the most populous country and the University of Sao Paulo being the most influential. Jilin University and Shihezi University in Xinjiang, China were relatively influential in this field. For the key words analysis, the top 3 of high-frequency words were infection, diagnosis, abortion, and in the 12 clusters formed, the clusters formed by #1, #4 were larger and the research hotspot continued. Keywords in the last five years including human brucellosis, immunity, zoonotic disease, were highlighted. Conclusion Study analysis suggested that human brucellosis with zoonosis was a research hotspot, more scholars focused on the infectious route and other exposure risks of cattle as intermediate hosts, epidemiological studies on brucellosis or will be new trends.

Epilepsy is a common and severe brain disease affecting >65 million people worldwide. Recent studies have shown that kinesin superfamily motor protein 17 (KIF17) is expressed in neurons and is involved in regulating the dendrite-targeted transport of N-methyl-D-aspartate receptor subtype 2B (NR2B). However, the effect of KIF17 on epileptic seizures remains to be explored. We found that KIF17 was mainly expressed in neurons and that its expression was increased in epileptic brain tissue. In the kainic acid (KA)-induced epilepsy mouse model, KIF17 overexpression increased the severity of epileptic activity, whereas KIF17 knockdown had the opposite effect. In electrophysiological tests, KIF17 regulated excitatory synaptic transmission, potentially due to KIF17-mediated NR2B membrane expression. In addition, this report provides the first demonstration that KIF17 is modified by SUMOylation (SUMO, small ubiquitin-like modifier), which plays a vital role in the stabilization and maintenance of KIF17 in epilepsy.
Animals ; Epilepsy/metabolism* ; Kinesins/metabolism* ; Mice ; Neurons/metabolism* ; Receptors, N-Methyl-D-Aspartate/metabolism* ; Seizures/metabolism*

Heart sound analysis is significant for early diagnosis of congenital heart disease. A novel method of heart sound classification was proposed in this paper, in which the traditional mel frequency cepstral coefficient (MFCC) method was improved by using the Fisher discriminant half raised-sine function (F-HRSF) and an integrated decision network was used as classifier. It does not rely on segmentation of the cardiac cycle. Firstly, the heart sound signals were framed and windowed. Then, the features of heart sounds were extracted by using improved MFCC, in which the F-HRSF was used to weight sub-band components of MFCC according to the Fisher discriminant ratio of each sub-band component and the raised half sine function. Three classification networks, convolutional neural network (CNN), long and short-term memory network (LSTM), and gated recurrent unit (GRU) were combined as integrated decision network. Finally, the two-category classification results were obtained through the majority voting algorithm. An accuracy of 92.15%, sensitivity of 91.43%, specificity of 92.83%, corrected accuracy of 92.01%, and F score of 92.13% were achieved using the novel signal processing techniques. It shows that the algorithm has great potential in early diagnosis of congenital heart disease.
Humans ; Heart Sounds ; Algorithms ; Neural Networks, Computer ; Heart Defects, Congenital/diagnosis* ; Signal Processing, Computer-Assisted

Diabetes is the most important comorbidity of cardiovascular disease, and cardiovascular disease is the main cause of mortality and disability of patients with type 2 diabetes. In order to standardize the diagnosis and treatment of patients with diabetes and cardiovascular disease, the National Health Commission Capacity Building and Continuing Education Center organized the experts from the field of cardiology and endocrinology systematically reviewing the research progresses and expert experiences of relevant disciplines from home and abroad, and formulated this consensus. This consensus covers the diagnosis, drug treatment, and risk factor management for patients with diabetes and cardiovascular disease (including atherosclerotic cardiovascular disease and heart failure) from the perspective of cardiovascular disease and diabetes management aiming to strengthen the comprehensive management of patients and ultimately to improve the prognosis of patients. The management of cardiovascular diseases mainly includes the management of blood pressure, blood lipids, anti-thrombosis, anti-myocardial ischemia, anti-ventricular remodeling and so on. Diabetes management mainly includes lifestyle intervention (including diet, exercise, weight loss, etc.), anti-hyperglycemia therapy (including drugs and insulin), blood glucose monitoring, and hypoglycemic prevention. In addition, specific clinical recommendations are given to patients with special health care needs such as diabetic nephropathy, elderly (>75 years), and cardiovascular critical illness.

Objective:To explore the value of matrix metalloproteinase (MMP) in differential diagnosis of brucellosis spondylitis (BS) and tuberculous spondylitis (TS).Methods:Retrospective analysis was used to collect the data of patients with BS and TS diagnosed in the First Affiliated Hospital of Xinjiang Medical University from January 2016 to December 2018. Magnetic resonance imaging (MRI), laboratory data, and the expression levels of MMP-2 and MMP-9 were analyzed.Results:There existed significant differences in imaging findings like the infection levels, the number of infected vertebrae and the paravertebral soft tissue lesions between BS and TS patients ( n=26, 27, P < 0.05). Basophils in BS patients were significantly higher than those in TS patients [(0.022±0.019) × 10 9 number/L vs (0.017±0.007) × 10 9 number/L, t=2.19, P < 0.05]; but the C-reactive protein of BS patients was significantly lower than that of TS patients [(16.12±14.16) mg/L vs (33.78±24.05) mg/L, t=2.45, P < 0.05]. The expression of MMP-9 in BS patients was significantly lower than that in TS patients [76.92% (20/26) vs 96.30% (26/27), χ 2=4.34, P < 0.05], but there was no significant difference in the expression of MMP-2 ( P > 0.05). Conclusion:MMP-9 may be a new biomarker in differential diagnosis of BS and TS, which can be helpful for the differential diagnosis of BS and TS by combining MRI findings with laboratory findings.