ObjectiveTo establish an animal model of atrial fibrillation（AF） that accurately reflects the phlegm-heat and blood stasis（TRYZ） pathogenesis in traditional Chinese medicine. MethodsForty SPF-grade SD rats were randomly assigned using a random number table to the following groups：the control group， the TRYZ+AF group，the AF group and the TRYZ group， with ten rats in each group. The TRYZ+AF and TRYZ groups underwent a high-fat diet combined with intraperitoneal lipopolysaccharide（LPS） injection to simulate the pathological alterations of TRYZ syndrome. Groups TRYZ+AF and AF were induced with acetylcholine-calcium chloride（Ach-CaCl₂） via caudal vein injection to induce AF. The control group received no intervention and was maintained under normal conditions. The modeling period lasted 3 weeks. Electrocardiography was used to assess AF episodes and duration， echocardiography evaluated left atrial dimensions and cardiac function， fully automated biochemical analyzer measured the levels of total cholesterol（TC）， triglycerides（TG）， high-density lipoprotein cholesterol（HDL-C） and low-density lipoprotein cholesterol（LDL-C）， hemoreometer analyzed the whole blood viscosity， plasma viscosity， and whole blood reduced viscosity， a coagulation analyzer assessed prothrombin time（PT）， activated partial thromboplastin time（APTT）， thrombin time（TT）， and fibrinogen（FIB）， enzyme-linked immunosorbent assay（ELISA） was used to determine the levels of C-reactive protein（CRP）， interleukin（IL）-1β， IL-6， IL-17， tumour necrosis factor（TNF）-α， matrix metalloproteinase-9（MMP-9）， galectin-3（Gal-3）， Collagen Ⅰ， and α-smooth muscle actin（α-SMA）. Hematoxylin-eosin（HE） staining and Masson's trichrome staining were used to analyze pathological changes in atrial myocardium， Western blot was employed to detect MMP-9， Collagen Ⅰ and α-SMA protein expression in myocardial tissue， real-time quantitative polymerase chain reaction（Real-time PCR） evaluated fibrous factor gene expression levels. Changes in the TRYZ syndrome were assessed via body weight， tongue color［red（R）， green（G）， and blue（B）］， and rectal temperature. Ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was employed to detect differential metabolites between the control group and the TRYZ+AF group. ResultsFollowing three weeks of sustained modeling， compared with the control group， rats in the TRYZ+AF and the TRYZ groups exhibited reduced body weight， dry faeces， elevated rectal temperature， dark red tongue， decreased RGB values on the tongue surface， and markedly elevated TC and LDL-C levels（P<0.05， P<0.01）. The TRYZ+AF， TRYZ， and AF groups exhibited significantly decreased TT， APTT and PT， along with markedly elevated whole blood viscosity and FIB（P<0.05， P<0.01）. Rats in the TRYZ+AF and AF groups exhibited AF rhythm， markedly decreased heart rate， prolonged RR intervals， enlarged left atrium， and significantly reduced ejection fraction and shortening fraction（P<0.05， P<0.01）. Serum levels of CRP， IL-1β， IL-6， IL-17， TNF-α， MMP-9， Gal-3， Collagen Ⅰ， and α-SMA were elevated in rats from the TRYZ+AF， TRYZ， and AF groups compared to the control group， with the most pronounced increase observed in the TRYZ+AF group（P<0.05， P<0.01）. Histopathology revealed that the collagen fiber deposition in the atrial of rats in the TRYZ+AF， TRYZ and AF groups was higher than that in the control group（P<0.05， P<0.01）. Western blot and Real-time PCR results further demonstrated that the protein and mRNA expression levels of MMP-9， Collagen Ⅰ and α-SMA in the myocardial tissue of the TRYZ+AF group were higher than those in the other three groups（P<0.05， P<0.01）. Metabolomic analysis revealed 173 differentially expressed metabolites in the TRYZ+AF group and the control group， primarily enriched in pathways such as glycerophospholipid metabolism and glycolysis/gluconeogenesis. ConclusionThis study successfully establishes a rat model of AF integrated with the TRYZ syndrome， demonstrating the pathological process where the interactions of phlegm， heat and stasis jointly trigger tremor， this provides a reliable experimental tool for in-depth research into the biological basis of this disease syndrome.

Objective:To investigate the prevalence and influencing factors of frailty among older adults diagnosed with non-ST-segment elevation acute coronary syndrome(NSTE-ACS).Methods:We conducted a cross-sectional study involving patients aged 65 years and older with NSTE-ACS, who were admitted to the Cardiology Center and the Department of Geriatrics at Beijing Friendship Hospital, Capital Medical University, between January 2020 and November 2021.Patients were categorized into non-frail, pre-frail, and frail groups based on the FRAIL scale.We collected clinical data, including general health conditions, comorbidities, laboratory results, treatments, and comprehensive geriatric assessments.Logistic regression analysis was employed to identify the influencing factors associated with frailty and pre-frailty in older adults with NSTE-ACS.Results:A total of 528 patients with NSTE-ACS were included in the study, comprising 308 males(58.3%)and 220 females(41.7%). The age range of participants was from 65 to 90 years, with a median age of 72(68, 76)years.The prevalence of frailty among older adults with NSTE-ACS was 11.4%(60/528), while pre-frailty was observed in 51.9%(274/528), and non-frailty in 36.7%(194/528). Compared to the non-frail and pre-frail groups, patients in the frail group were older, had a higher proportion of females, exhibited a greater prevalence of chronic diseases, and presented with elevated inflammatory markers.Additionally, frail patients demonstrated poorer nutritional status and reduced functional ability(all P<0.005). Risk factors for frailty in older adults with NSTE-ACS included older age( OR=1.110, 95% CI: 1.032-1.194, P=0.005), diabetes( OR=2.489, 95% CI: 1.091-5.679, P=0.030), cerebrovascular disease ( OR=4.151, 95% CI: 1.660-10.384, P=0.002), chronic kidney disease ( OR=42.874, 95% CI: 3.957-464.513, P=0.002), and elevated white blood cell levels( OR=1.424, 95% CI: 1.125-1.802, P=0.003). Conversely, being male( OR=0.252, 95% CI: 0.105-0.604, P=0.002)was identified as a protective factor against frailty in this patient population.For pre-frail older adults with NSTE-ACS, identified risk factors included diabetes( OR=1.882, 95% CI: 1.199-2.955, P=0.006), cerebrovascular disease( OR=1.938, 95% CI: 1.176-3.195, P=0.009), and chronic kidney disease ( OR=12.137, 95% CI: 1.536-95.934, P=0.018). Similarly, being male( OR=0.601, 95% CI: 0.376-0.961, P=0.033)was also a protective factor for pre-frailty in older adults with NSTE-ACS. Conclusions:The prevalence of frailty and pre-frailty among older adults with NSTE-ACS is notably high.Common risk factors for frailty and pre-frailty in this population include female gender, diabetes, cerebrovascular disease, and chronic kidney disease.

Objective:To explore the predictive value of triglyceride-glucose (TyG) index and residual cholesterol (RC) for intracranial artery stenosis (ICAS) in a physical examination population with H-type hypertension.Methods:It was a cross-sectional study. A total of 3 452 individuals with H-type hypertension who underwent physical examinations at the Health Management Center of Fuwai Central China Cardiovascular Hospital from September 2021 to March 2025 were continuously selected as the research subjects. Magnetic resonance angiography was used to assess intracranial artery stenosis, and the subjects were divided into a non-ICAS group (2 018 cases) and ICAS group (1 344 cases). The clinical indicators of the two groups were collected, including past medical history, height, weight, waist-hip ratio, smoking history, drinking history, blood pressure, total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting plasma glucose and homocysteine. The logistic regression analysis was used to analyze the related factors of ICAS in the physical examination population with H-type hypertension. The predictive value of TyG index and RC for the occurrence of ICAS in the physical examination population with H-type hypertension was evaluated by using the receiver operating characteristic (ROC) curve.Results:Among the 3 452 physical examination individuals with H-type hypertension included in the analysis, there were 2 285 males (66.2%) and 1 167 females (33.8%), with an age of (41.36±8.99) years. The levels of smoking history, drinking history, overweight/obesity, increased waist-to-hip ratio, age, triglycerides, homocysteine, TyG index and RC in the ICAS group were all higher than those in the non-ICAS group [66.6% vs 36.8%, 70.2% vs 38.0%, 70.0% vs 48.5%, 76.2% vs 40.6%, (45.53±10.32) vs (39.59±9.38) years, 1.79 (1.35, 2.97) vs 1.42 (0.91, 2.53) mmol/L, 22.15 (19.76, 24.89) vs 18.52 (16.26, 20.66) μmol/L, 8.89 (8.62, 9.75) vs 7.85 (7.24, 8.47), 0.84 (0.50, 1.60) vs 0.66 (0.42, 1.04) mmol/L], the level of high-density lipoprotein cholesterol was lower than that in the non-ICAS group [1.03 (0.91, 1.24) vs 1.26 (0.99, 1.52) mmol/L](all P<0.05). Spearman correlation analysis showed that ICAS was positively correlated with body mass index, waist-hip ratio, total cholesterol, TyG index and RC ( r=0.167, 0.219, 0.224, 2.536, 0.379), and it was negatively correlated with high-density lipoprotein cholesterol ( r=-0.314) (all P<0.05). The logistic regression analysis showed that TyG index ( OR=10.293, 95% CI: 5.128-21.614) and RC ( OR=1.045, 95% CI: 0.139-1.328) were both positively correlated with ICAS (both P<0.05). The ROC curve analysis showed that the area under the ROC curve of TyG index combined with RC for predicting ICAS in the physical examination population with H-type hypertension was 0.750, with a sensitivity of 80.8% and a specificity of 73.2%, which was superior to predictive power of TyG index or RC alone (both P<0.05). Conclusion:Both TyG index and RC have good predictive value for ICAS in the physical examination population with H-type hypertension, and combination of both has a higher predictive performance.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the characteristics of brain network reorganization in migraine patients and its relationship with the grading of right-to-left shunt (RLS) in patent foramen ovale(PFO) by integrated 3.0T structural magnetic resonance imaging (MRI),resting-state functional MRI(fMRI),and contrast-enhanced transthoracic echocardiography, thereby toexplore the mechanism underlying cognitive impairment in migraine.Methods:A total of 49 migraine patients (migraine group)and 16 demographically matched healthy subjects (healthy control group) who received diagnosis and treatment at China-Japan Union Hospital of Jilin University from September 2020 to September 2023 were selected as the study participants. Structural images (T1-weighted) and resting-state functional images were obtained from brain imaging (MRI and fMRI) data. The amplitude of low-frequency fluctuation (ALFF) algorithm was used to quantify the intensity of spontaneous neural activity in brain regions, while the Fazekas scale and the Age-Related White Matter Changes (ARWMC) scale were employed to assess white matter lesions. Participants were evaluated using the Mini-Mental State Examination (MMSE). Based on the results of contrast-enhanced transthoracic echocardiography (cTTE),the migraine group was further subdivided into A1 group (18 cases, no PFO), A2 group (17 cases, PFO with small-to-moderate RLS) and A3 group (14 case, PFO with large RLS) group, the differences in brain functional activity and cognitive function were compared among these groups.Results:By Fazekas scale scores and ARWMC scale scores, the incidence of hyperintense foci in the deep white matter regions in the migraine group were higher than those in the healthy control group: 67.3%(33/49) vs. 6/16, 61.2%(30/49) vs. 5/16, there were statistical differences ( P<0.05). Compared with the healthy control group, the migraine group exhibited higher spontaneous neural activity intensity in the brainstem,bilateral posterior cingulate cortex,left medial frontal gyrus,and left middle frontal gyrus,while showing reduced brain activity in the right angular gyrus region. The short-term delayed recall scores and total MMSE scores in the migraine group were lower than thosein the healthy control group: (1.61 ± 1.06) scores vs. (2.44 ± 0.81) scores, (25.06 ± 2.31) scores vs. (27.94 ± 1.44) scores, there were statistical differences ( P<0.05). The short-term delayed recall scores mong the A1 group, A2 group and A3 group had statistical difference( P<0.05). Conclusions:Migraine patients exhibit specific brain functional network reorganization and cognitive dysfunction, which are closely related to the degree of RLS.

Objective:To investigate the prevalence and influencing factors of frailty among older adults diagnosed with non-ST-segment elevation acute coronary syndrome(NSTE-ACS).Methods:We conducted a cross-sectional study involving patients aged 65 years and older with NSTE-ACS, who were admitted to the Cardiology Center and the Department of Geriatrics at Beijing Friendship Hospital, Capital Medical University, between January 2020 and November 2021.Patients were categorized into non-frail, pre-frail, and frail groups based on the FRAIL scale.We collected clinical data, including general health conditions, comorbidities, laboratory results, treatments, and comprehensive geriatric assessments.Logistic regression analysis was employed to identify the influencing factors associated with frailty and pre-frailty in older adults with NSTE-ACS.Results:A total of 528 patients with NSTE-ACS were included in the study, comprising 308 males(58.3%)and 220 females(41.7%). The age range of participants was from 65 to 90 years, with a median age of 72(68, 76)years.The prevalence of frailty among older adults with NSTE-ACS was 11.4%(60/528), while pre-frailty was observed in 51.9%(274/528), and non-frailty in 36.7%(194/528). Compared to the non-frail and pre-frail groups, patients in the frail group were older, had a higher proportion of females, exhibited a greater prevalence of chronic diseases, and presented with elevated inflammatory markers.Additionally, frail patients demonstrated poorer nutritional status and reduced functional ability(all P<0.005). Risk factors for frailty in older adults with NSTE-ACS included older age( OR=1.110, 95% CI: 1.032-1.194, P=0.005), diabetes( OR=2.489, 95% CI: 1.091-5.679, P=0.030), cerebrovascular disease ( OR=4.151, 95% CI: 1.660-10.384, P=0.002), chronic kidney disease ( OR=42.874, 95% CI: 3.957-464.513, P=0.002), and elevated white blood cell levels( OR=1.424, 95% CI: 1.125-1.802, P=0.003). Conversely, being male( OR=0.252, 95% CI: 0.105-0.604, P=0.002)was identified as a protective factor against frailty in this patient population.For pre-frail older adults with NSTE-ACS, identified risk factors included diabetes( OR=1.882, 95% CI: 1.199-2.955, P=0.006), cerebrovascular disease( OR=1.938, 95% CI: 1.176-3.195, P=0.009), and chronic kidney disease ( OR=12.137, 95% CI: 1.536-95.934, P=0.018). Similarly, being male( OR=0.601, 95% CI: 0.376-0.961, P=0.033)was also a protective factor for pre-frailty in older adults with NSTE-ACS. Conclusions:The prevalence of frailty and pre-frailty among older adults with NSTE-ACS is notably high.Common risk factors for frailty and pre-frailty in this population include female gender, diabetes, cerebrovascular disease, and chronic kidney disease.

Objective:To explore the predictive value of triglyceride-glucose (TyG) index and residual cholesterol (RC) for intracranial artery stenosis (ICAS) in a physical examination population with H-type hypertension.Methods:It was a cross-sectional study. A total of 3 452 individuals with H-type hypertension who underwent physical examinations at the Health Management Center of Fuwai Central China Cardiovascular Hospital from September 2021 to March 2025 were continuously selected as the research subjects. Magnetic resonance angiography was used to assess intracranial artery stenosis, and the subjects were divided into a non-ICAS group (2 018 cases) and ICAS group (1 344 cases). The clinical indicators of the two groups were collected, including past medical history, height, weight, waist-hip ratio, smoking history, drinking history, blood pressure, total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting plasma glucose and homocysteine. The logistic regression analysis was used to analyze the related factors of ICAS in the physical examination population with H-type hypertension. The predictive value of TyG index and RC for the occurrence of ICAS in the physical examination population with H-type hypertension was evaluated by using the receiver operating characteristic (ROC) curve.Results:Among the 3 452 physical examination individuals with H-type hypertension included in the analysis, there were 2 285 males (66.2%) and 1 167 females (33.8%), with an age of (41.36±8.99) years. The levels of smoking history, drinking history, overweight/obesity, increased waist-to-hip ratio, age, triglycerides, homocysteine, TyG index and RC in the ICAS group were all higher than those in the non-ICAS group [66.6% vs 36.8%, 70.2% vs 38.0%, 70.0% vs 48.5%, 76.2% vs 40.6%, (45.53±10.32) vs (39.59±9.38) years, 1.79 (1.35, 2.97) vs 1.42 (0.91, 2.53) mmol/L, 22.15 (19.76, 24.89) vs 18.52 (16.26, 20.66) μmol/L, 8.89 (8.62, 9.75) vs 7.85 (7.24, 8.47), 0.84 (0.50, 1.60) vs 0.66 (0.42, 1.04) mmol/L], the level of high-density lipoprotein cholesterol was lower than that in the non-ICAS group [1.03 (0.91, 1.24) vs 1.26 (0.99, 1.52) mmol/L](all P<0.05). Spearman correlation analysis showed that ICAS was positively correlated with body mass index, waist-hip ratio, total cholesterol, TyG index and RC ( r=0.167, 0.219, 0.224, 2.536, 0.379), and it was negatively correlated with high-density lipoprotein cholesterol ( r=-0.314) (all P<0.05). The logistic regression analysis showed that TyG index ( OR=10.293, 95% CI: 5.128-21.614) and RC ( OR=1.045, 95% CI: 0.139-1.328) were both positively correlated with ICAS (both P<0.05). The ROC curve analysis showed that the area under the ROC curve of TyG index combined with RC for predicting ICAS in the physical examination population with H-type hypertension was 0.750, with a sensitivity of 80.8% and a specificity of 73.2%, which was superior to predictive power of TyG index or RC alone (both P<0.05). Conclusion:Both TyG index and RC have good predictive value for ICAS in the physical examination population with H-type hypertension, and combination of both has a higher predictive performance.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the population composition,seasonal dynamics,and infestation levels of cockroaches in Lanzhou,China,and to provide information for the scientific development of cockroach control strategies.Methods Monitoring was conducted at three locations using the sticky trap method.Habitats included farm product markets,catering establishments,hotels,hospitals,and residential areas.Results From 2016 to 2023,the average cockroach density was 0.77 insects per board,with an average infestation rate of 10.84%.Blattella germanica was the dominant species.Seasonal density of cockroaches showed an approximately unimodal distribution,peaking in September.The highest average density and infestation rates were observed in farm product markets.Conclusions Cockroach density and infestation levels in Lanzhou remained relatively low.A comprehensive prevention and control strategy focusing on environmental management in key areas should be implemented according to the seasonal fluctuations.

Objective: To construct and validate a clinical diagnostic model to differentiate between pulmonary tuberculosis and non-tuberculous lung diseases. Methods : Information was collected from 258 patients with respiratory system diseases, and they were divided into a training set of 152 cases and a test set of 106 cases with a ratio of 6 ∶4 using the random number seed method in R software. The training set was further divided into a tuberculosis group of 95 cases and a non-tuberculosis group of 57 cases, and the test set into a tuberculosis group of 65 cases and a non-tuberculosis group of 41 cases based on the diagnosis of pulmonary tuberculosis. A diagnostic model was constructed using multivariate logistic regression analysis to determine the influencing factors of pulmonary tuberculosis. The diagnostic value and clinical utility of the model were assessed using the receiver operating characteristic(ROC) curve, calibration curve, and decision curve analysis(DCA). Results : CD161+%(OR=0.768; 95%CI0.697-0.845;P<0.001), AST(OR=0.961; 95%CI0.930-0.993;P=0.019), and smoking history(OR=3.181; 95%CI1.149-8.804;P=0.026) were identified as independent risk factors for the occurrence of pulmonary tuberculosis. In both the training and test sets, the area under the ROC curve(AUC) reached 0.870(95%CI0.816-0.924) and 0.887(95%CI0.827-0.948), respectively. The Hosmer-Lemeshow goodness-of-fit test showed a good fit(training set χ2=6.213,P=0.623; test set χ2=6.197,P=0.625). DCA indicated that the model had good reference significance for the diagnosis of the probability of pulmonary tuberculosis occurrence. Conclusion The diagnostic model constructed using the percentage of CD161+%, AST levels, and smoking history has certain diagnostic performance, facilitating rapid clinical differentiation between pulmonary tuberculosis and non-tuberculous lung diseases.