Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

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.

Objective To analyze the influencing factors of malaria infection of labor service exported to overseas in Langfang City, in order to establish a visualization tool to assist clinicians in predicting the risk of malaria. Methods A total of 4 774 expatriate employees of the Nibei Pipeline Project of the Pipeline Bureau from October 2021 to August 2023 were taken as the subjects, and the gender, age, overseas residence area and Knowledge of malaria controlscores of the study subjects were investigated by questionnaire survey, and the possible risk factors of malaria were screened by logistic regression model. At the same time, the nomogram prediction model was established, and the subjects were divided into the training group and the validation group at a ratio of 2:1, and the area under the curve (ROC) and the decision curve were plotted to evaluate the prediction ability and practicability of the prediction model in this study. Results Among the 4 774 study subjects, 96 cases of malaria occurred, and the detection rate was 2.01%. Junior school （OR=1.723，95% CI:1.361-2.173）， and residence in rural areas（OR=2.091，95%CI:1.760 -3.100）were risk factors (OR>1), while protective measures（OR=0.826，95% CI : 0.781 - 0.901） and high malaria education scores （OR=0.872，95% CI : 0.621 - 0.899）were protective factors.The nomogram prediction model results showed that the area under the curve of the nomogram prediction model in the training group was 0.94 (95% CI : 0.85 - 1.00), while the validation group was 0.93 (95% CI : 0.80 - 1.00). The results of the decision curve showed that when the threshold probability of the population was 0-0.9, the nomogram model was used to predict the risk of malaria occurrence with the highest net income. Conclusion The nomogram prediction model (including gender, education, region, protection and malaria education score) established and validated in this study is of great value for clinicians to screen high-risk patients with malaria.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

As a cheap and effective antibiotic,sulfonamides are often used in animal husbandry.However,their residues in animal-derived foodstuffs will threaten human health.Consequently,a high-performance liquid chromatography(HPLC)method integrated with supramolecular solvent microextraction was successfully established for simultaneous quantification of sulfonamide residues sulfachlorpyridazine,sulfamethoxazole,sulfamethoxypyridazine and sulfadimethoxine in milk matrices.This approach exhibited prominent characteristics of operational simplicity,environmental sustainability,and high extraction efficiency.The supramolecular solvents prepared by tributyl octylphosphine tetrafluoroborate and tetrahydrofuran were employed as extraction solvents.The analytes underwent isolation and concentration via dispersive liquid-liquid microextraction(DLLME)prior to quantitative determination using high-performance liquid chromatography(HPLC).The composition and microscopic morphology of the supramolecular solvent were characterized through a series of analytical techniques,including phase diagram,Fourier transform infrared spectroscopy,scanning electron microscopy,and inverted fluorescence microscopy and so on.The density and pH value of supramolecular solvents were determined.The extraction conditions were optimized through the one-factor experiments.The experimental results demonstrated that under the optimal extraction conditions,the four kinds of sulfonamide antibiotics exhibited excellent linearity within respective detection range(R2 ≥ 0.9998)and the limits of detection(LOD)were 0.67-1.45 μg/L.Compared with literature methods,this approach offered some advantages such as simplicity of operation and less reagent consumption,and could be used for analysis and detection of sulfonamide antibiotic residues in milk samples.The present method provided technical support for food safety regulation and paved a new way for the application of supramolecular solvents in the field of extraction and separation.

Objective:To investigate the effect of pre-stroke metformin (MET) use on early neurological improvement (ENI) and outcome after intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) patients with type 2 diabetes (T2DM).Methods:AIS patients with T2DM underwent IVT in the Department of Neurology, Yuncheng Central Hospital from January 2019 to February 2025 were included retrospectively. According to whether MET was used before onset, they were divided into MET group and non-MET group. Early neurological improvement (ENI) was defined as a decrease in the National Institutes of Health Stroke Scale (NIHSS) score ≥4 at 24 hours after IVT compared to admission, or the NIHSS score was 0-1. At 90 days after onset, the modified Rankin Scale was used for outcome assessment, and ≤2 was good outcome and >2 was poor outcome. Multivariate logistic regression analysis was used to determine the independent influencing factors of ENI and outcome. Results:A total of 115 AIS patients with T2DM were included in the study, with an age of 65.42±12.22 years. There were 83 males (72.2%). Fifty-four patients (47.0%) used MET, and 61 (53.0%) used other hypoglycemic drugs; 43 (37.4%) developed ENI, and 33 (28.7%) had poor outcome at 90 days. There were no significant difference in all baseline data between the MET group and the non-MET group, but the proportions of patients with ENI and good prognosis at 90 days in the MET group were significantly higher than those in the non-MET group (all P<0.05). The proportions of hypertensive patients and baseline NIHSS scores in the ENI group were significantly lower than those in the non-ENI group, while the proportions of patients using MET, antihypertensive drugs, statins, and patients with good outcome was significantly higher than that in the non-ENI group (all P<0.05). The body weight, high-density lipoprotein cholesterol, as well as the proportions of patients using antiplatelet drugs, MET, and patients with ENI in the good outcome group were significantly higher than those in the poor outcome group, while systolic blood pressure, fasting blood glucose, triglycerides, and the proportions of patients with hemorrhagic transformation, and symptomatic intracranial hemorrhage were significantly lower than those in the poor outcome group (all P<0.05). Multivariate logistic regression analysis showed that using statins (odds ratio [ OR] 5.291, 95% confidence interval [ CI] 1.599-17.514; P=0.006) and MET ( OR 3.018, 95% CI 1.125-8.092; P=0.006) were the independent influencing factors of ENI; using MET ( OR 0.014, 95% CI 0.001-0.246; P=0.004) and anterior circulation stroke ( OR 0.005, 95% CI 0.000-0.745; P=0.038) were significantly independently associated with good outcome, while high baseline NIHSS score ( OR 2.092, 95% CI 1.198-3.655; P=0.009) and serum homocysteine ( OR 1.202, 95% CI 1.024-1.411; P=0.024) were significantly independently associated with the poor outcome. Conclusion:The use of MET before stroke onset can help improve ENI and clinical outcome in AIS patients with T2DM after IVT.

Ureteropelvic junction obstruction, as a common urological disorder, not only affects the renal function of patients, but also seriously reduces their quality of life. Pyeloplasty, as the first-line therapy for ureteral stricture at present, is a key approach to eliminating hydronephrosis and improving renal function. The quality of life of postoperative patients, as an important criterion for measuring the therapeutic effect, has also attracted increasing attention. Therefore, this article reviews the evaluation tools, research status and influencing factors of the postoperative quality of life of ureteropelvic junction obstruction patients, aiming to provide a reference for the formulation of relevant nursing intervention measures in clinical practice.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Objective:To explore the effects of early electroacupuncture(EA)intervention on the high mobility group box 1(HMGB1)/Toll-like receptor 4(TLR4)signaling pathway-related protein expression and oligodendrocytes in mice with amyotrophic lateral sclerosis(ALS),and uncover the potential molecular mechanisms underlying the improvement of motor function in ALS mice by early EA intervention.Methods:ALS mice carrying the SOD1G93A gene were randomly divided into a model group and an EA group,with 10 mice in each group;10 littermate mice with a negative SOD1G93A genotype served as the control group.In the EA group,Baihui(GV20),Tianzhu(BL10),and Tianshu(ST25)were selected with needles retained for 10 min,5 consecutive days per week,with 2 days of rest.One week constituted a course of treatment,and a total of 3 consecutive courses were performed.The other groups were grasped and fixed similarly,but without intervention.Motor function was assessed using the open field test(OFT)and Morris water maze(MWM).Subsequently,hematoxylin-eosin staining was used to observe neuron morphology in the M1 region of the cerebral cortex.Immunofluorescence was performed to detect the positive cell rate of TAR DNA-binding protein 43(TDP-43),and double immunofluorescence staining was used to observe the positive cell rate and cell states of ionized calcium-binding adaptor molecule 1(Iba-1)and myelin basic protein(MBP)in the M1 region of the cerebral cortex.Western blotting was used to detect the relative expression levels of TDP-43,tumor necrosis factor(TNF)-α,HMGB1,and TLR4 proteins.Results:Compared to the control group,the model group exhibited a reduced total movement distance in the OFT,and an increased escape latency,as well as fewer platform crossings in the MWM,with statistically significant differences(P<0.01).In the model group,the number of degenerated and necrotic neurons in the M1 region of the ALS mouse cerebral cortex increased,with significant nuclear shrinkage and cytoplasmic vacuolization;the percentage of TDP-43 immunofluorescence positive cells in the M1 region of the cerebral cortex increased(P<0.01),and the relative expression level of TDP-43 protein in the cerebral cortex showed a significant increase(P<0.01);the Iba-1 positive cell percentage increased,while the MBP positive cell percentage decreased(P<0.01);the relative expression levels of TNF-α,HMGB1,and TLR4 proteins increased(P<0.05).Compared to the model group,the EA group showed an increased total movement distance(P<0.01),and a reduced escape latency,and more platform crossings in the MWM,with statistically significant differences(P<0.05).In the EA group,neurons showed improvement,with reduced degeneration and necrosis,and larger,clearer nuclei;the percentage of TDP-43 immunofluorescence positive cells in the M1 region of the cerebral cortex decreased(P<0.05),and the relative expression level of TDP-43 protein also decreased(P<0.05);the percentage of Iba-1 positive cells in the M1 region of the cerebral cortex decreased,while the percentage of MBP positive cells increased(P<0.01);the relative expression levels of TNF-α,HMGB1,and TLR4 proteins decreased(P<0.05).Conclusion:EA intervention can suppress microglial activation,improve the state of oligodendrocytes,and reduce abnormal TDP-43 aggregation in the M1 region of the cerebral cortex in ALS model mice;its mechanism of action may be related to the HMGB1/TLR4 signaling pathway.

Traditional Chinese medicine(TCM)has rich experience in the diagnosis and treatment of epidemics,but the basic con-cepts and diagnosis and treatment strategies of TCM for epidemics have not yet formed a common understanding.This paper preliminar-ily constructs a diagnosis and treatment system of TCM epidemics from the perspective of"type differentiation-stage differentiation-syndrome differentiation"by combing the basic concepts of the etiology,pathogenesis,and identification of epidemics,taking state-target differentiation and treatment as the general principle.First,the epidemics are divided into five types:cold epidemics,warm epi-demics,cold-damp epidemics,damp epidemics,and miscellaneous epidemics;then,according to the overall course of the epidemics,they are divided into four stages:"initial stage-peak stage-extreme stage-relapse stage",the initial stage is the stage of exterior syn-dromes,the peak stage is the stage of heat peak,the extreme stage is the stage of internal closure and external loss,and the relapse stage is the stage of recovery of the healthy qi and retreat of the evil qi;finally,on the basis of staging,combined with the syndrome char-acteristics of various epidemics(five types of background diseases)at different stages,the syndromes are divided demonstratively.Through the construction of a modern diagnosis and treatment system of TCM epidemics,the basic theoretical concepts and basic diag-nosis and treatment strategies of epidemics can be clarified,various new and emerging infectious diseases can be actively responded to,and a diagnosis and treatment plan for a new and emerging infectious disease can be quickly constructed.