Objective To systematically analyze the characteristics of the disease burden of hypertensive heart disease (HHD) in the elderly (≥60 years) globally and in China from 1990 to 2021, and to predict its future trends from 2022 to 2040, with the aim of providing data support for optimizing comprehensive prevention and control strategies for HHD. Methods Based on the Global Burden of Disease (GBD) 2021 database, the number of prevalent cases and disability-adjusted life years (DALYs) of HHD in the elderly were extracted for the world, China, and five regions categorized by sociodemographic index (SDI). Joinpoint regression was used to analyze the temporal trends of age-standardized prevalence rate and age-standardized DALYs rate of HHD in the elderly. A three-factor decomposition method was applied to evaluate the relative contributions of aging, population growth, and epidemiological changes to the variations in the elderly HHD burden. Additionally, a Bayesian age-period-cohort model was used to predict the elderly HHD burden from 2022 to 2040. Results In 2021, the number of prevalent elderly HHD cases reached 10 283 000 globally and 3 412 400 in China, representing increases of 179.20% and 159.20% respectively, compared with 1990. The DALYs of elderly HHD were 18 812 700 person-years globally and 4 731 400 person-years in China, rising by 76.08% and 29.45% respectively from 1990. Meanwhile, the growth rates of the number of prevalent cases and DALYs of elderly HHD varied across different SDI regions. From 1990 to 2021, the age-standardized prevalence rate of elderly HHD in China, as well as the age-standardized DALYs rate of elderly HHD both globally and in China, showed significant downward trends (all average annual percentage changes<0, all P<0.001). In 2021, the 70-74 years age group accounted for the highest proportion of prevalent cases and DALYs of elderly HHD, both globally and in China. Decomposition analysis revealed that population growth was the dominant factor driving the increase in the elderly HHD burden across all regions. The prediction model results indicated that the number of prevalent cases and DALYs of elderly HHD would continue to rise globally and in China from 2022 to 2040, with the growth rate of the elderly HHD burden in China between 2021 and 2040 expected to exceed the global average. Conclusion Over the past 32 years, although the age-standardized disease rates of elderly HHD have mainly shown a downward trend globally and in China, the absolute number of the disease burden has increased substantially. The projection model indicates a continued upward trajectory, with the growth rate in China higher than the global average. Therefore, there is an urgent need to implement precise prevention and control strategies to effectively mitigate the disease burden of elderly HHD.

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.

ObjectiveTo explore the role of lead exposure in the phenotypic transformation of vascular smooth muscle cells (VSMC), and to provide new insights for the mechanism of lead impact on vascular lesions. MethodsMouse aortic smooth muscle cells (MOVAS) were divided into a control group (0 μmol·L^-1), low concentration lead groups (0.1, 1, 5, and 10 μmol·L^-1), and high concentration lead groups (15, 25, and50 μmol·L^-1). MTT assays were used to assess the proliferation of the cells, and scratch assays were implicated to measure migration ability of the cells. Fluorescence quantitative PCR was employed to determine levels of mRNA expression for smooth muscle actin α (α⁃SMA), smooth muscle 22 alpha (SM22α), synthetic phenotype-related genes osteopontin (OPN), matrix metalloproteinase 9 (MMP9), and the transcription factor SOX9. Immunoblotting was used to determine levels of protein expression for α-SMA, OPN, and MMP9. ResultsProliferation of MOVAS was observed under the lead ions concentrations of 0‒50 µmol·L^-1, with a significant increase of proliferation compared to the control group at the concentrations of 5‒50 µmol·L^-1 (all P<0.05). The migration ability of cells gradually increased at the concentrations of 0‒10 µmol·L^-1, with a significant increase at 5 (q=4.574, P=0.003) and 10 µmol·L^-1 (q=10.570, P<0.001) compared to the control group. The 10 µmol·L^-1 lead ions significantly reduced the levels of mRNA expression for vascular smooth muscle contractile phenotype genes α⁃SMA (q=7.426, P<0.001) and SM22α (q=4.766, P=0.001), while significantly increasing the levels of mRNA expression for OPN (q=11.330, P<0.001), MMP9 (q=7.842, P<0.001), and SOX9 (q=11.120, P<0.001) genes. Furthermore, the 10 µmol·L^-1 lead ions significantly reduced the levels of protein expression for the vascular smooth muscle contractile phenotype marker α-SMA protein (q=2.897, P=0.049), while significantly increasing the levels of protein expression for the synthetic markers OPN (q=3.188, P=0.031) and MMP9 (q=3.292, P=0.026), compared to the control group. ConclusionTreatment with lead in vitro induced VSMC to differentiate from contractile phenotype to synthetic phenotype, indicating that a certain dose of lead exposure might be detrimental to the cardiovascular system.

Objective:To explore the correlative factors for insomnia severity in chronic insomnia patients using MemTrax memory test.Methods:Two hundred and twenty-two chronic insomnia patients (insomnia≥3 days per week with a duration≥3 months) recruited from Center for Preventive Treatment of Diseases, Guangdong Provincial Hospital of Chinese Medicine or through in-hospital advertisements from April 2024 to September 2024 were chosen. Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality over the last month; according to PSQI score, these patients were divided into mild insomnia group (scores of 7-10), moderate insomnia group (scores of 11-15) and severe insomnia group (scores of 16-21). MemTrax memory test was used to record the picture recognition accuracy and picture recognition reaction time, and MemTrax comprehensive index (MTx-Cp) was calculated; Patients' Health Questionnaire (PHQ-9), and Generalized Anxiety Disorder-7 scale(GAD-7) were used to evaluate the depression and anxiety status of these patients in recent 2 weeks. The clinical data, MemTrax test results, PHQ-9 and GAD-7 scores of patients with different degrees of chronic insomnia were compared. Spearman rank correlation analysis was used to investigate the correlation between insomnia severity and clinical data such as cognitive memory function in chronic insomnia patients.Results:Among the 220 chronic insomnia patients, 54 had mild insomnia, 111 had moderate insomnia, and 55 had severe insomnia. Severe insomnia patients had significantly higher percentages of those>50 years old and those using hypnotics compared with mild insomnia patients and moderate insomnia patients ( P<0.05). Compared with the mild insomnia patients and moderate insomnia patients, the severe insomnia patients exhibited significantly lower picture recognition accuracy (90%[86%, 94%], 88%[82%, 94%], 84%[78%, 92%]), significantly lower MTx-Cp (88.55±18.67, 84.41±20.93, 76.69±17.43), and significantly higher PHQ-9 score (9[6, 11], 9[6, 15], 12[8, 16], P<0.05). Moreover, severe insomnia patients had significantly longer picture recognition reaction time and higher GAD-7 score than mild insomnia patients (1.11[1.03, 1.24] s vs. 1.04[0.90, 1.15] s; 7[5, 13] vs. 6[3, 9], P<0.05). Spearman rank correlation analysis showed that insomnia severity in chronic insomnia patients was positively correlated with age, PHQ-9 score, GAD-7 score, and picture recognition reaction time, and negatively correlated with picture recognition accuracy and MTx-Cp ( P<0.05). Conclusion:Insomnia severity in patients with chronic insomnia is correlated with age, cognitive memory function, depression and anxiety.

With the rapid development of the interdisciplinary area of artificial intelligence and medi-cine,large language model(LLM)has been widely used in the fields such as diagnosis and treatment,medi-cine,and healthcare.LLM has unique advantages in the field of traditional Chinese medicine(TCM),such as high consistency with the"Four Diagnostic Methods",perfect combination of natural language and self-super-vised learning in TCM,the ability to adapt to the characteristics TCM formulas,and the assistance in TCM di-agnosis and treatment.At present,various LLM models have been developed,including the"Qihuang Ask Big Model"and the Digital Traditional Chinese Medicine Big Model"GLM-130B",but they still face challenges such as value mismatch and medical abuse,increased demand for interpretability,lack of advanced technolo-gy,and domestic policy access.This article reviews the evolution of LLM,its unique advantages and applica-tions in the field of TCM,the problems and challenges,and the future development trends,in order to provide reference for the further promotion of LLM in traditional medicine.

Objective:To explore the correlative factors for insomnia severity in chronic insomnia patients using MemTrax memory test.Methods:Two hundred and twenty-two chronic insomnia patients (insomnia≥3 days per week with a duration≥3 months) recruited from Center for Preventive Treatment of Diseases, Guangdong Provincial Hospital of Chinese Medicine or through in-hospital advertisements from April 2024 to September 2024 were chosen. Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality over the last month; according to PSQI score, these patients were divided into mild insomnia group (scores of 7-10), moderate insomnia group (scores of 11-15) and severe insomnia group (scores of 16-21). MemTrax memory test was used to record the picture recognition accuracy and picture recognition reaction time, and MemTrax comprehensive index (MTx-Cp) was calculated; Patients' Health Questionnaire (PHQ-9), and Generalized Anxiety Disorder-7 scale(GAD-7) were used to evaluate the depression and anxiety status of these patients in recent 2 weeks. The clinical data, MemTrax test results, PHQ-9 and GAD-7 scores of patients with different degrees of chronic insomnia were compared. Spearman rank correlation analysis was used to investigate the correlation between insomnia severity and clinical data such as cognitive memory function in chronic insomnia patients.Results:Among the 220 chronic insomnia patients, 54 had mild insomnia, 111 had moderate insomnia, and 55 had severe insomnia. Severe insomnia patients had significantly higher percentages of those>50 years old and those using hypnotics compared with mild insomnia patients and moderate insomnia patients ( P<0.05). Compared with the mild insomnia patients and moderate insomnia patients, the severe insomnia patients exhibited significantly lower picture recognition accuracy (90%[86%, 94%], 88%[82%, 94%], 84%[78%, 92%]), significantly lower MTx-Cp (88.55±18.67, 84.41±20.93, 76.69±17.43), and significantly higher PHQ-9 score (9[6, 11], 9[6, 15], 12[8, 16], P<0.05). Moreover, severe insomnia patients had significantly longer picture recognition reaction time and higher GAD-7 score than mild insomnia patients (1.11[1.03, 1.24] s vs. 1.04[0.90, 1.15] s; 7[5, 13] vs. 6[3, 9], P<0.05). Spearman rank correlation analysis showed that insomnia severity in chronic insomnia patients was positively correlated with age, PHQ-9 score, GAD-7 score, and picture recognition reaction time, and negatively correlated with picture recognition accuracy and MTx-Cp ( P<0.05). Conclusion:Insomnia severity in patients with chronic insomnia is correlated with age, cognitive memory function, depression and anxiety.

AIM:To investigate the expression of centromere protein-H(CENP-H)in adrenocortical carcino-ma(ACC)and its relationship with disease progression and prognosis,and to explore the impact of CENP-H gene knock-down on the viability and migration of ACC cells.METHODS:The mRNA expression level of CENP-H in 76 ACC pa-tients and 128 healthy controls,and its correlations with tumor stages and prognosis were analyzed by GEPIA2 database.The mRNA expression of CENP-H in different stages of ACC and its correlation with disease prognosis were further ana-lyzed by ULCAN database.The protein expression of CENP-H was examined by immunohistochemical staining of paraffin-embedded ACC and normal adrenal gland specimens.Knockdown of CENP-H by siRNA(siCENP-H)was performed in human ACC cell line H295R.The viabilty of H295R cells transfected with siCENP-H or siNC was measured by CCK-8 as-say,the cell migration was detected by wound-healing assay,and the protein levels of CENP-H,p-ERK1/2,t-ERK1/2,p-P38,t-P38,p-JNK1/2 and t-JNK1/2 were detected by Western blot.RESULTS:The mRNA level of CENP-H was signifi-cantly higher in ACC than that in normal controls,and was correlated with tumor stages and prognosis.The protein level of CENP-H was significantly higher in ACC specimens than that in normal adrenal gland.Knockdown of CENP-H in H295R cells resulted in decreased cell viability and migration.The protein levels of p-P38 and p-JNK1/2 were decreased in si-CENP-H group.CONCLUSION:CENP-H is highly expressed in ACC,and is correlated with tumor stages and poor prognosis.Knockdown of CENP-H can inhibit the viability and migration of ACC cells,and its mechanism may related to inactivation of P38 and JNK signaling pathways.

Objective:To analyze the mutation characteristics of rpoB gene in rifampicin-resistant Brucella strains. Methods:DNA of 4 rifampicin-resistant Brucella strains (JSY-26, G-9, WSY-13 and AW-3) isolated from Xinjiang Uygur Autonomous Region was selected, rifampicin rpoB gene was amplified by PCR and its nucleotide sequence was sequenced. The rpoB gene sequences of rifampicin-resistant Brucella standard strain (RB51) and sensitive strain (ALT-8) were used as reference, the mutation sites and types of the rpoB gene inside and outside the rifampicin resistance determination region (RRDR) of the 4 rifampicin-resistant Brucella strains were analyzed by Mega 7.0 software. Results:Through sequence alignment, both JSY-26 and WSY-13 strains underwent a single base point mutation at the RRDR 1 576 bp of the rpoB gene, with the base changing from guanine (G) to adenine (A). The G-9 strain underwent a single base point mutation at the RRDR 1 606 bp of the rpoB gene, with the base changing from cytosine (C) to A. The AW-3 strain showed 5 mutations of 3 types outside rpoB gene RRDR at 2 536, 2 537, 2 626, 2 636 and 2 654 bp, namely 3 insertion mutations [thymine (T) insertion once and C insertion twice], 1 deletion mutation (C deletion), and 1 single base point mutation (from G to C mutation).Conclusion:The RRDR mutations in the rpoB gene of the rifampicin-resistant Brucella strains are mainly characterized by single base point mutations, while multiple insertion and deletion mutations occur outside the RRDR.

Objective:To evaluate the reliability of a region-locked 3D-printed template combined with a bi-directional matching scheme in assistance of screw placement for thoracolumbar fractures.Methods:From January 2019 to March 2023, 52 patients with thoracolumbar fracture were treated at Department of Orthopedics, The People's Hospital of Liyang. They were 29 males and 23 females, with an age of (58.2±13.3) years. They were divided into a template group and a free-hand group according to the different screw placements. In the template group of 25 cases, a region-locked 3D-printed template combined with a bi-directional matching scheme was used to assist the pedicle positioning; in the free-hand group of 27 cases, the free hand screw placement was assisted only by image data and C-arm fluoroscopy. The operation time, intraoperative fluoroscopy frequency, intraoperative blood loss, complications, and placement accuracy were compared between the 2 groups. Visual analogue scale (VAS), Oswestry disability index (ODI), and anterior height ratio of the injured vertebra were compared between preoperation, 1 week postoperation, and the final follow-up, as well as between the 2 groups.Results:There were no statistically significant differences in the preoperative general data between the 2 groups, showing comparability ( P>0.05). All patients were followed up for (11.2±4.2) months. The differences were not statistically significant between the 2 groups in intraoperative blood loss, rate of complications, VAS or ODI at preoperation, 1 week postoperation, or the final follow-up, or in anterior height ratio of the injured vertebra ( P>0.05). In the template group, the operation time [(80.1±18.5) min] was significantly longer than that in the free-hand group [(69.4±16.6) min], the intraoperative fluoroscopy frequency [2 (2, 3) times] significantly lower than that in the free-hand group [3 (3, 4) times], and the placement accuracy [98.4% (127/129)] significantly higher than that in the free-hand group [91.8% (112/122)] (all P<0.05). All patients showed significant improvements in VAS, ODI and anterior height ratio of the injured vertebra at postoperative 1 week compared with the preoperative values, and the improvements at the last follow-up were significantly larger than those at postoperative 1 week ( P<0.05). No injury to the spinal cord, nerve root or blood vessel was observed postoperatively. Conclusions:In the treatment of thoracolumbar fractures, the screw placement assisted by a region-locked 3D-printed template combined with a bi-directional matching scheme is better than free-hand screw placement in terms of improved accuracy and reduced fluoroscopy, but the former incurs longer operative exposure than the latter. There is no significant difference between the 2 methods of screw placement in clinical efficacy.

With the rapid development of the interdisciplinary area of artificial intelligence and medicine, large language model (LLM) has been widely used in the fields such as diagnosis and treatment, medicine, and healthcare. LLM has unique advantages in the field of traditional Chinese medicine (TCM), such as high consistency with the "Four Diagnostic Methods", perfect combination of natural language and self-supervised learning in TCM, the ability to adapt to the characteristics TCM formulas, and the assistance in TCM diagnosis and treatment. At present, various LLM models have been developed, including the "Qihuang Ask Big Model" and the Digital Traditional Chinese Medicine Big Model "GLM-130B", but they still face challenges such as value mismatch and medical abuse, increased demand for interpretability, lack of advanced technology, and domestic policy access. This article reviews the evolution of LLM, its unique advantages and applications in the field of TCM, the problems and challenges, and the future development trends, in order to providereference for the further promotion of LLM in traditional medicine.