ObjectiveTo analyze the incidence and spatiotemporal distribution of typhus fever in Baoshan City, Yunnan Province from 2005 to 2023, to identify high-risk populations and regions, so as to provide a scientific basis for optimizing the allocation of local prevention and control resources and developing targeted intervention measures. MethodsData of typhus fever cases in Baoshan City from 2005 to 2023 were obtained from the Infectious Disease Information Management System of the Chinese Center for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the temporal, spatial and demographic distribution of typhus fever cases. Spatial clustering was assessed using spatial dynamic window scan statistics (circular and elliptical windows), flexible spatial scan statistics, and local spatial autocorrelation methods (including local Moran’s I, local Geary’s C, and Getis-Ord G_i*). Retrospective spatiotemporal scan statistics were employed to detect spatiotemporal clusters. ResultsA total of 1 099 typhus fever cases were reported in Baoshan City from 2005 to 2023. The incidence rate peaked at 6.31/ 100 000 in 2007, followed by a decline until reaching its lowest level at 0.21/100 000 in 2015 , and subsequently rebounded during 2016‒2023. The highest proportion of cases was among children under 10 years of age (31.12%), and the top three occupations of cases were farmers, students, and children, accounting for 88.62% of all cases. Cases occurred predominantly between June and September each year. The incidence was relatively high in Jiucheng Town (62.58/100 000), Yaoguan Town (57.15/100 000), and Dianyang Town (46.81/100 000) of Shidian County. Spatial clustering analyses indicated that high-risk areas were mainly located in the southern part of Baoshan City, showing a south-to-north trend. Spatiotemporal scan analyses identified five clusters, with the most likely cluster centered around Yaoguan Town, covering ten towns (subdistricts) during the period 2007‒2010. ConclusionThe incidence of typhus fever in Baoshan City exhibits a clear seasonal and spatial clustering pattern, with peak incidence occurring in summer and autumn. Spatially, cases are primarily distributed in the southern part of Baoshan City, and high-risk clusters exhibit a south-to-north trend. Farmers, students, and children are the high-risk groups.

Objective To analyze the prevalence of hyperuricemia (HUA) among adults in Hebei Province and its influencing factors related to comorbidities with ^“three highs^”, and to provide a theoretical basis for the prevention and control of HUA and multi-disease co-management. Methods Data were derived from the 2018 China Chronic Disease and Risk Factors Surveillance program conducted in Hebei Province. A multi-stage stratified cluster random sampling method was used to select permanent residents aged ≥18 years. All statistical analyses were adjusted for complex weighting. Design-based logistic regression was employed to analyze factors influencing HUA prevalence, and ordinal logistic regression was used to analyze the influencing factors of HUA patients and their comorbidity with ^“three highs^”. Results The prevalence of HUA among adults in Hebei Province was 10.42%, with males showing higher rates than females (P<0.05). The highest prevalence of HUA was observed in the 18-39 age group, followed by a declining trend, and a resurgence in those aged ≥70 (P<0.05). Among HUA patients with comorbidities, isolated HUA, 1 comorbidity, 2 comorbidities, and 3 comorbidities accounted for 13.94%, 33.33%, 39.17%, and 13.56%, respectively. HUA combined with hypertension and dyslipidemia represented the highest proportion (31.07%). Analysis of the influencing factors of HUA revealed that higher education levels, obesity, central obesity, and dyslipidemia increased the risk of HUA (P<0.05). Ordinal logistic regression analysis of HUA combined with three highs showed that HUA patients aged ≥50 years, overweight individuals, and those with chronic kidney disease had a higher number of patients with three highs (P<0.05). Conclusion HUA exhibits insidious onset, and it is recommended to include uric acid testing in routine physical examinations. Targeted prevention measures, such as early uric acid testing and health education, should be implemented by Hebei authorities for populations with higher education levels, obesity, central obesity, and dyslipidemia to reduce HUA incidence. Additionally, health education and regular medical check-ups are recommended for overweight HUA patients and those with chronic kidney disease to prevent comorbidities and alleviate disease burden.

BackgroundObstructive sleep apnea （OSA） represents a prevalent sleep disordered breathing condition characterized by complex pathophysiology. The arousal threshold （ArTH）， a core non-anatomical contributor to OSA pathogenesis， is intimately tied to the disease severity and clinical phenotypes. To date， research regarding factors associated with ArTH has yielded inconsistent findings， and ArTH profiles and disparities across populations with different genetic backgrounds are not fully elucidated. ObjectiveTo explore the differences of ArTH in OSA patients with different genetic backgrounds and analyze the key factors affecting ArTH， thereby providing evidence for understanding OSA pathophysiology and formulating targeted treatment regimens. MethodsA total of 285 patients who met the diagnostic criteria for OSA， as defined by the Multidisciplinary Diagnosis and Treatment Guidelines for Adult Obstructive Sleep Apnea， were retrospectively enrolled in this study. All participants underwent overnight polysomnography （PSG） at the Sleep Medicine Center of Inner Mongolia Mental Health Center from December 2022 to May 2024. Based on the study design， the cohort was stratified into two distinct genetic background subgroups （group A and group B）. Demographic and clinical characteristics， the Epworth Sleepiness Scale （ESS） score， and overnight PSG data were collected. The apnea hypopnea index （AHI）， the lowest pulse oxygen saturation （LSpO₂）， and fraction of hypopneas （F_Hypopneas） were utilized as surrogate indicators to estimate ArTH in OSA patients. The influencing factors of low ArTH were tested by binary Logistic regression analysis. ResultsAmong the 285 OSA patients， there were 227 cases （79.65%） in group A and 58 cases （20.35%） in group B. Comparisons between the two genetic background subgroups revealed no statistically significant differences in the proportion of low ArTH， ESS score， PSG parameters， and the three markers for low ArTH （AHI<30 events/h， LSpO₂>82.5%， F_Hypopneas>58.3%） （P>0.05）. Binary Logistic regression analysis identified sex （OR=2.421， 95% CI： 1.070–5.478）， BMI （OR=0.847， 95% CI： 0.770–0.932）， N1 sleep duration （OR=0.974， 95% CI： 0.963–0.985）， and hypertension （OR=0.348， 95% CI： 0.143–0.848） as independent factors associated with low ArTH in the total cohort. Stratified analysis by genetic backgrounds revealed that sex（OR=3.799， 95% CI： 1.389–10.392）， BMI（OR=0.819， 95% CI：0.723–0.929）， and N1 sleep duration（OR=0.973， 95% CI： 0.961–0.986） were independent factors of low ArTH in group A. In contrast， only N1 sleep duration （OR=0.951， 95% CI： 0.911–0.993） remained a significant factor in group B. ConclusionArthur may have conservative characteristics in patients with OSA with different genetic backgrounds， but the pathophysiological mechanism of OSA may have population heterogeneity. ［Funded by Inner Mongolia Autonomous Region Natural Science Fundation Project （number， 2024QN08050）； Intra-institutional Scientific Research Project of Inner Mongolia Mental Health Center （number， 2022QNWN0010）］

ObjectiveThis study aimed to evaluate the effects of cycloastragenol （CAG） on mitochondrial dysfunction during cardiac remodeling and to elucidate its regulatory role in myocardial energy metabolic homeostasis and the associated transcriptional regulatory axis. MethodsA rat model of heart failure （HF） was established by ligation of the left anterior descending coronary artery. Rats were randomly divided into a control group， a model group， a captopril group （3.25 mg·kg^-1）， a low-dose CAG group （10 mg·kg^-1， CAG-L）， and a high-dose CAG group （20 mg·kg^-1， CAG-H）. After 28 days of treatment， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVIDd）， and left ventricular end-systolic diameter （LVIDs） were assessed by echocardiography. Serum levels of N-terminal pro-brain natriuretic peptide （NT-proBNP）， creatine kinase-MB （CK-MB）， cardiac troponinⅠ （cTnI）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and cyclic adenosine monophosphate （cAMP） were measured by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） and Masson's trichrome staining were used to evaluate myocardial histopathology and fibrosis. Wheat germ agglutinin （WGA）， reactive oxygen species （ROS）， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining were performed to assess cardiomyocyte hypertrophy， oxidative stress， and apoptosis. Adenosine triphosphate （ATP） content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ were determined by colorimetric assays. The mRNA expression of α-smooth muscle actin （α-SMA）， Col Ⅰ， and Col Ⅲ was detected by Real-time quantitative polymerase chain reaction （Real-time PCR）， while the protein levels of β₂-adrenergic receptor （ADRB2）， protein kinase A （PKA）， phosphorylated cAMP response element-binding protein/total cAMP response element-binding protein （p-CREB/CREB）， peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）， nuclear respiratory factor 1 （NRF1）， and mitochondrial transcription factor A （TFAM） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited significantly decreased LVEF， LVFS， and ATP levels （P<0.05）， and markedly increased LVIDd， LVIDs， NT-proBNP， CK-MB， cTnI， IL-1β， IL-6， TNF-α， ROS levels， TUNEL-positive rate， Col deposition area， and the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ （P<0.05）. In addition， the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， the protein expression of ADRB2， PKA， p-CREB， PGC-1α， NRF1， and TFAM， as well as the cAMP content， were significantly reduced （P<0.05）. Compared with the model group， both low- and high-dose CAG significantly increased LVEF and LVFS， and decreased LVIDd， LVIDs， and the levels of NT-proBNP， CK-MB， and cTnI （P<0.05）. CAG treatment alleviated myocardial disarray and Collagen deposition， and downregulated the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ. The treatment markedly reduced ROS generation and the TUNEL-positive rate （P<0.05）， thereby attenuating cardiomyocyte hypertrophy and inflammatory responses. Furthermore， CAG treatment increased ATP content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， accompanied by upregulation of PGC-1α， NRF1， TFAM， ADRB2， PKA， and p-CREB protein expression as well as cAMP levels （P<0.05）. The CAG-H group showed the most pronounced improvements， which were superior to those of the captopril group and the CAG-L group. ConclusionCycloastragenol delays adverse cardiac remodeling and improves cardiac function by activating the ADRB2-mediated GPCR/cAMP/PKA/CREB signaling pathway， enhancing the PGC-1α/NRF1/TFAM activity， promoting mitochondrial energy metabolism remodeling， and suppressing oxidative stress， inflammation， and myocardial fibrosis.

ObjectiveThis study aimed to evaluate the effects of cycloastragenol （CAG） on mitochondrial dysfunction during cardiac remodeling and to elucidate its regulatory role in myocardial energy metabolic homeostasis and the associated transcriptional regulatory axis. MethodsA rat model of heart failure （HF） was established by ligation of the left anterior descending coronary artery. Rats were randomly divided into a control group， a model group， a captopril group （3.25 mg·kg^-1）， a low-dose CAG group （10 mg·kg^-1， CAG-L）， and a high-dose CAG group （20 mg·kg^-1， CAG-H）. After 28 days of treatment， left ventricular ejection fraction （LVEF）， left ventricular fractional shortening （LVFS）， left ventricular end-diastolic diameter （LVIDd）， and left ventricular end-systolic diameter （LVIDs） were assessed by echocardiography. Serum levels of N-terminal pro-brain natriuretic peptide （NT-proBNP）， creatine kinase-MB （CK-MB）， cardiac troponinⅠ （cTnI）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and cyclic adenosine monophosphate （cAMP） were measured by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） and Masson's trichrome staining were used to evaluate myocardial histopathology and fibrosis. Wheat germ agglutinin （WGA）， reactive oxygen species （ROS）， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining were performed to assess cardiomyocyte hypertrophy， oxidative stress， and apoptosis. Adenosine triphosphate （ATP） content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ were determined by colorimetric assays. The mRNA expression of α-smooth muscle actin （α-SMA）， Col Ⅰ， and Col Ⅲ was detected by Real-time quantitative polymerase chain reaction （Real-time PCR）， while the protein levels of β₂-adrenergic receptor （ADRB2）， protein kinase A （PKA）， phosphorylated cAMP response element-binding protein/total cAMP response element-binding protein （p-CREB/CREB）， peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）， nuclear respiratory factor 1 （NRF1）， and mitochondrial transcription factor A （TFAM） were analyzed by Western blot. ResultsCompared with the control group， the model group exhibited significantly decreased LVEF， LVFS， and ATP levels （P<0.05）， and markedly increased LVIDd， LVIDs， NT-proBNP， CK-MB， cTnI， IL-1β， IL-6， TNF-α， ROS levels， TUNEL-positive rate， Col deposition area， and the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ （P<0.05）. In addition， the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， the protein expression of ADRB2， PKA， p-CREB， PGC-1α， NRF1， and TFAM， as well as the cAMP content， were significantly reduced （P<0.05）. Compared with the model group， both low- and high-dose CAG significantly increased LVEF and LVFS， and decreased LVIDd， LVIDs， and the levels of NT-proBNP， CK-MB， and cTnI （P<0.05）. CAG treatment alleviated myocardial disarray and Collagen deposition， and downregulated the mRNA expression of α-SMA， Col Ⅰ， and Col Ⅲ. The treatment markedly reduced ROS generation and the TUNEL-positive rate （P<0.05）， thereby attenuating cardiomyocyte hypertrophy and inflammatory responses. Furthermore， CAG treatment increased ATP content and the activities of mitochondrial respiratory chain complexes Ⅰ-Ⅳ， accompanied by upregulation of PGC-1α， NRF1， TFAM， ADRB2， PKA， and p-CREB protein expression as well as cAMP levels （P<0.05）. The CAG-H group showed the most pronounced improvements， which were superior to those of the captopril group and the CAG-L group. ConclusionCycloastragenol delays adverse cardiac remodeling and improves cardiac function by activating the ADRB2-mediated GPCR/cAMP/PKA/CREB signaling pathway， enhancing the PGC-1α/NRF1/TFAM activity， promoting mitochondrial energy metabolism remodeling， and suppressing oxidative stress， inflammation， and myocardial fibrosis.

OBJECTIVE To optimize the salt-processing technology for Anemarrhena asphodeloides. METHODS Taking soaking time， stir-frying temperature， and stir-frying time as factors， Box-Behnken response surface methodology was employed to optimize the salt-processing technology of A. asphodeloides using the contents of mangiferin， neomangiferin， isomangiferin， timosaponin BⅡ， timosaponin AⅢ， timosaponin BⅢ， total flavonoids， and total saponins as evaluation indicators. The entropy weight method was applied to determine the weight of each indicator and calculate the comprehensive score. Based on the 17 sets of Box-Behnken response surface methodology results， a genetic algorithm （GA）-back propagation （BP） neural network was used to further optimize the salt-processing technology， with soaking time， stir-frying temperature， and stir-frying time as input layers and the comprehensive score as the output layer. The salt-processing parameters obtained from the two methods were validated and compared to determine the optimal salt-processing technology for A. asphodeloides. RESULTS The optimal salt-processing conditions obtained via the Box-Behnken response surface methodology were as follows： soaking time of 23 min， stir-frying temperature of 160 ℃ ， and stir-frying time of 12 min， yielding a comprehensive score of 63.370 2. The GA-BP neural network optimization resulted in the following conditions： soaking time of 24 min， stir-frying temperature of 163 ℃， and stir-frying time of 12 min， with a comprehensive score of 65.163 8. The GA-BP neural network optimization outperformed the results obtained by Box-Behnken response surface methodology. CONCLUSIONS This study successfully optimized the salt-processing technology for A. asphodeloides. Specifically， the technology involves adding 15 mL of 0.1 g/mL saline solution to 50 g of the herbal slices， allowing them to moisten for 24 minutes， and then stir-frying at 163 ℃ for 12 minutes.

Objective To construct a database for molecular mass spectra of toxins and drugs in order to facilitate the management and retrieval of mass spectra for nerve agents,metabolites and other small molecules.Methods Requirement analysis and functional design were performed using software engineering methods.The Spec2Vec algorithm was used for vector representation of mass spectra,while SMILES molecular structures were vectorized using the extended connectivity fingerprint(ECFP).A data storage model integrating structured information and vector representations was established using the Milvus database.Similarity search of mass spectra and molecular structures was conducted via vector similarity comparison and the FlashEntropySearch algorithm.Results The constructed database of mass spectra encompassed over 400,000 entries from such sources as OCAD,NIST,MASSBANK,metabolic products,and natural products of TCM,which was capable of searching for similarities in mass spectra and molecular structures.On a standard server,similarity search of mass spectra took no more than 5 seconds,while that of molecular structures took no more than 1 second.Conclusion The system enables efficient management of complex mass spectra and provides rapid retrieval and comparison of mass spectra-related information through advanced vector indexing technology,offering robust data support and research tools for toxicology and pharmacology.

Objective To develop a system for retrieving information from clinical records of Traditional Chinese Medicine(TCM)based on generative large language models(LLMs).Methods Applicational needs of the system were analyzed,and entity types to be retrieved were identified.The functions,workflows,and architecture of the system were designed by combining the automatic retrieval capabilities of LLMs with human-in-the-loop(HITL).The software was developed using such frameworks as vLLM and Node.js.Interaction of multiple commercial/open source LLMs was implemented using OpenAI-compatible interfaces.The quality of information retrieved from LLMs was enhanced by prompt engineering.Results This system supported task allocation,automatic retrieval of structured information,and manual review.To evaluate its performance,the moonshot-v1-8k model was used to retrieve clinical records of TCM before manual edition was performed.Combining large language model pre-annotation with meticulous annotator edits improved accuracy by 26.6％compared to the BERT-BiLSTM-CRF model,and enhanced extraction efficiency by 1.6-fold relative to purely manual methods.Conclusion General generative LLMs can retrieve a wide range of entity information from TCM records with high accuracy and scalability.The design and implementation of this system approach may provide a useful reference for developing other biomedical information retrieval systems.

Objective: To explore the mechanism of cistanche deserticola(meat cistanche) in treating Alzheimer′s disease(AD) through network pharmacology, molecular docking, and animal experiments. Methods : Effective components of meat cistanche were mined from the TCMSP database, and AD-related targets were filtered using the SwissTargetPrediction, DisGeNET, and GeneCards databases. The intersection of these targets was analyzed using protein-protein interaction(PPI) networks. Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses were conducted via the Metascape database. Molecular docking of meat cistanche′s active components with core targets was performed using AutoDock Vina. Based on network pharmacology predictions, an AD model was established using 8-month-old SAMP8 mice, with Morris water maze tests assessing learning and cognitive functions, Nissl staining observing hippocampal neuron morphology, and enzyme-linked immunosorbent assays and Western blotting detecting the expression levels of cAMP signaling pathway-related proteins in hippocampal tissues. Results : Network pharmacology analysis predicted that meat cistanche might act on 74 AD targets through 8 active components. Molecular docking showed high affinity of active components like acteoside with core targets such as ESR1, BDNF, MAPK1, and APP. KEGG analysis indicated involvement in pathways related to cancer, cAMP signaling, and AD. Animal experiments demonstrated that meat cistanche effectively improved learning and cognitive impairments in AD mice and alleviated hippocampal neuron damage. ELISA and Western blotting results indicated that meat cistanche significantly increased the expression levels of cAMP, PKA, P-CREB in the cAMP pathway and promoted the expression of downstream neurotrophic factor BDNF. Conclusion Meat cistanche can improve learning and cognitive disorders in AD model mice and may exert therapeutic effects on AD by up-regulating the cAMP signaling pathway and the expression of downstream BDNF protein targets, thereby improving hippocampal neuron injury.

ObjectiveTo explore the pharmacological effects and molecular mechanisms of a Jiao'ai decoction (JAD) in treating premature ovarian failure. Specifically, we evaluated the receptor for advanced glycation end (RAGE) products pathway, metabolic disorders, and intestinal flora dysbiosis.MethodsForty female rats with normal estrous cycles were randomly divided into five groups: control, model, estradiol, low-dose JAD, and high-dose JAD, with 8 rats in each. Except for the control group, the rats in other groups were injected intraperitoneally with cisplatin for 8 days (1.5 mg/kg) to establish a premature ovarian failure model. Starting on the fifth day of cisplatin injections, the estradiol, low-dose JAD, and high-dose JAD groups were administered corresponding drugs for 21 days. Sex hormone levels and pathological changes in the ovaries were measured. Key proteins in the RAGE pathway related to apoptosis, aging, and inflammation, were tested using Western blot. A 16S rRNA analysis of feces and non-targeted metabolism in serum was performed to determine the effects of JAD on intestinal flora and metabolism.ResultsBody weight, ovarian index, and the number of follicles at all levels increased in the JAD group. Regarding serum hormones, estradiol, anti-mullerian hormone (AMH) and P levels increased, whereas follicle-stimulating hormone (FSH) and luteinizing hormone (LH) levels decreased in the JAD group. The levels of phosphorylated Akt protein (P-Akt), receptor for advanced glycation end products (RAGE), tumor protein p53 (P53), C-reactive protein (CRP), apoptosis regulator BAX (BAX) and Caspase3 were downregulated by JAD, whereas B cell leukemia/lymphoma 2 (Bcl-2) and Endothelial nitric oxidase synthase (eNOS) were upregulated. JAD was also found to play an important role in the regulation of metabolic disorders and intestinal ecological imbalances by adjusting species composition and diversity.ConclusionJAD can protect ovaries by exerting anti-inflammatory and anti-apoptotic effects via inhibition of the RAGE pathway. JAD can also regulate metabolic disorders and maintain the dynamic balance of intestinal flora, thereby contributing to the improvement of the ovarian reserve function.