Background Depressive symptoms have become a significant factor affecting the physical and mental health of the occupational population, and workers in petroleum refining enterprises face multiple stressors in their work environment. Objective To explore the impact of occupational noise exposure on depressive symptoms among workers in a petroleum refining enterprise. Methods This cross-sectional study was conducted in July 2024 using a questionnaire survey among workers of a petroleum refining enterprise in Hainan Province. Basic information of the subjects was collected. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms, the Chinese version of the Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality, and the Chinese version of the Effort-Reward Imbalance (ERI) scale was used to evaluate occupational stress. Chi-square test was employed to compare the differences in reporting depressive symptoms among populations with different characteristics. Binary logistic regression models were used to analyze the impact of occupational noise exposure and other factors on depressive symptoms. Results The overall positive rate of depressive symptoms in the study population was 42.7%. The results of the multifactor analysis indicated that compared with the control group, employees in both the low-exposure and high-exposure groups had elevated odds of depressive symptoms, with OR (95%CI) of 2.244 (1.131, 4.454) and 1.970 (1.009, 3.850), respectively. This association remained robust after adjusting for potential confounders, including gender, age, work tenure, and other occupational exposures. Additionally, female [OR (95%CI)=1.483 (1.039, 2.118)], exposure to benzene, toluene, or xylene [OR (95%CI)=1.621 (1.208, 2.174)], sleep disturbance [OR (95%CI)=3.772 (2.942, 4.838)], and occupational stress [OR (95%CI)=2.018 (1.575, 2.585)] were also significantly associated with higher odds of depressive symptoms. Conclusion The positive rate of depressive symptoms is relatively high among employees in this petrochemical enterprise, and occupational noise exposure may be a risk factor for depressive symptoms.

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.

To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

ObjectiveTo investigate the effects of hypoxia-treated mesenchymal stem cell （MSCs） exosomes （Exo） and their loading with curcumin on microglial inflammatory responses， and to explore the enhancing effect of hypoxia treatment on the function of MSCs Exo. MethodsThe supernatants of human umbilical cord （hUC）-MSCs cultured under normal and hypoxic conditions were collected， and Exo were isolated using ultracentrifugation. After identification by transmission electron microscopy and Western blot， curcumin was loaded using the co-incubation method. The lipopolysaccharide （LPS）-induced microglial inflammation model was treated with dimethyl sulfoxide （DMSO）， curcumin， normoxia Exo， hypoxia Exo， normoxic Exo loaded with curcumin， and hypoxic Exo loaded with curcumin， respectively. The expression of the M1-type marker inducible nitric oxide synthase （iNOS） in BV2 cells was detected by immunofluorescence （IF）. Western blot and enzyme-linked immunosorbent assay （ELISA） were used to measure the expression and secretion levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and IL-6 in the cells and their culture supernatants. ResultsNormoxia Exo， hypoxia Exo， normoxic Exo loaded with curcumin， and hypoxic Exo loaded with curcumin exhibited a "saucer-like" shape with a diameter ranging from 30~150 nm， and the expression of exosomal markers CD9， CD81， and TSG101 were positive. After treating the BV2 cell inflammation model， IF results showed that， compared with the normoxia Exo group， treatment with hypoxic Exo significantly reduced the expression of iNOS. Moreover， when compared with the curcumin group and the normoxic Exo loaded with curcumin group， the expression level of iNOS significantly decreased after treatment with hypoxic Exo loaded with curcumin. The results of Western blot and ELISA indicated that， in comparison with the normoxia Exo group， treatment with hypoxic Exo significantly reduced the expression and secretion of the inflammatory cytokines TNF-α， IL-1β， and IL-6. Additionally， when compared with the curcumin group and the normoxic Exo loaded with curcumin group， both the expression and secretion of TNF-α， IL-1β， and IL-6 significantly decreased after treatment with hypoxic Exo loaded with curcumin. ConclusionHypoxia preconditioning can enhance the ability of hUC-MSCs-Exo in the inhibition of microglial polarization and inflammatory factors’ secretion. Additionally， using Hypoxia-MSCs-Exo as a drug-delivery carrier of curcumin can improve its solubility and stability， facilitating its absorption by cells and exerting the therapeutic effect of combination therapy.

ObjectiveTo evaluate the therapeutic effect of Huazhuo SanJie Chubi presciption （HSCD） on chronic gouty arthritis （CGA） rats with low-grade inflammation and to explore the underlying mechanism with a focus on macrophage polarization. MethodsThe 41 male 6-week-old SD rats were randomly allocated， using the random number table， to a normal group （n=8） and a model group （n =33）. CGA with low-grade inflammation was induced in the model group by daily gavage of potassium oxonate （250 mg·kg^-1·d^-1） and hypoxanthine （300 mg·kg^-1·d^-1）， combined with intra-articular injection of a monosodium urate （MSU） crystal suspension （50 μL， 25 g·L^-¹） into the left ankle twice weekly. After 4 weeks of modeling， 3 rats were randomly selected from each group for model validation. The remaining successfully modeled rats were randomly divided into a model group， an HSCD group （10.35 g·kg^-1·d^-1， gavage once daily）， an M1 polarization agonist group （L-methionine sulfoximine， 300 mg·kg^-1， subcutaneous injection every other day）， an M1 polarization agonist + HSCD group， an M2 polarization inhibitor group （PD0325901， 10 mg·kg^-1·d^-1， gavage once daily）， and M2 polarization inhibitor + HSCD group. The corresponding drug or drug combination was administered according to group assignment， whereas rats in the normal and model groups received 0.5% carboxymethyl cellulose sodium （CMC-Na） vehicle （10.35 g·kg^-1·d^-1， gavage once daily）. All interventions were continued for four weeks. During the intervention period， except for the normal group， potassium oxonate （250 mg·kg⁻¹） and hypoxanthine （300 mg·kg^-1） were co-administered by gavage every other day to maintain the model. At the end of treatment， serum uric acid （SUA）， ankle joint diameter and joint swelling index were measured. The levels of high-sensitivity C-reactive protein （hs-CRP）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， chemokine C-C motif ligand 2 （CCL2）， S100 calcium-binding protein A8/A9 （S100A8/A9）， interleukin-10 （IL-10） and arginase-1 （Arg-1） in serum and joint fluid were determined by enzyme-linked immunosorbent assay （ELISA）. High-frequency ultrasound was used to assess MSU deposition in the ankle joint. Hematoxylin-eosin （HE） staining was performed to evaluate synovial histopathological changes. Quantitative Real-time PCR and immunofluorescence were used to detect the mRNA and protein expression of the M1 macrophage polarization markers inducible nitric oxide synthase （iNOS） and the M2 macrophage polarization marker scavenger receptor cysteine-rich type 1 protein M130 （CD163） in synovial tissue. ResultsCompared with the normal group， the model group showed significantly elevated SUA level and joint swelling index， and increased levels of pro-inflammatory cytokines， CCL2， and S100A8/A9 in both serum and joint fluid （P<0.05）， accompanied by MSU deposition and synovial inflammation in the ankle joint. The mRNA and protein expression levels of macrophage polarization M1/M2 markers iNOS and CD163 in synovial tissues were also significantly up-regulated （P<0.05）. Compared with model group， rats in HSCD group had significantly lower SUA levels， attenuated joint swelling， reduced serum levels of pro-inflammatory cytokines， and decreased levels of CCL2 and S100A8/A9 in both serum and joint fluid， accompanied with alleviated MSU deposition and synovial inflammation （P<0.05）. HSCD markedly downregulated the mRNA and protein expression of M1 marker iNOS （P<0.05）， whereas it had no significant effect on the expression of M2 marker CD163. Compared with the M1 polarization agonist group， the M1 polarization agonist + HSCD group showed significantly reduced joint swelling， lower serum levels of pro-inflammatory cytokines， and decreased levels of CCL2 and S100A8/A9 in joint fluid （P<0.05）. In addition， synovial inflammatory cell infiltration and angiogenesis were attenuated， and iNOS mRNA and protein expression levels were significantly reduced （P<0.05）. Compared with the M2 polarization inhibitor group， the M2 polarization inhibitor + HSCD group exhibited reduced joint swelling， decreased levels of CCL2 and S100A8/A9 in joint fluid and ameliorated synovial inflammation （P<0.05）， whereas the levels of anti-inflammatory mediators （IL-10， Arg-1） and CD163 mRNA and protein expression were not significantly increased. ConclusionHSCD alleviates low-grade inflammation in CGA rats， at least in part， by inhibiting macrophage polarization toward the M1 phenotype.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective: To evaluate the effectiveness of a family-school collaborative intervention on sleep health among fifth-grade primary school students, so as to provide scientific evidence for promoting sleep health among primary school students. Methods: From April to June 2024, a baseline survey was conducted on 342 fifth-grade students and their parents from one primary school in a district of Beijing, using the convenient sampling method. A semester of sleep health education was implemented from September to December 2024, covering cognitive, behavioral and environmental factors that affected timely bedtime; and the program took various forms, including student courses, popular-science articles for parents, and personalized feedback reports. Another primary school in the same area was conveniently selected as the control group, where 313 fifth-grade students and their parents received routine health education. The subjects were assessed for their baseline and end-point (March to June 2025) sleep conditions using sleep diaries (222 participants in the intervention group and 225 in the control group) and accelerometers (120 participants in the intervention group and 88 in the control group), respectively. The independent samples t-test and the Wilcoxon rank-sum test were used to compare characteristics between groups，and linear mixed models were employed to evaluate the intervention effects. Results: In the sleep diary evaluation, the intervention group had an earlier weekend wake up time and a smaller social jetlag than the control group at baseline ( t/Z =3.42, 7.21); in the accelerometer evaluation, the intervention group exhibited a smaller social jetlag than the control group at baseline ( Z =3.90) (all P <0.05). In the sleep diary evaluation, compared with the control group, the intervention group showed a reduced pre-to-post change in school-day bedtime ( β = -6.70), whereas the pre-to-post changes in school-day sleep duration, weekend wake-up time, weekend sleep duration, and average sleep duration were all increased at baseline and at the end ( β =8.41, 22.58, 27.03,13.74) (all P <0.05). In the accelerometer evaluation, compared with the control group, the intervention group showed reduced pre-to-post changes in school-day sleep onset time and school-day wake time ( β =-14.75, -6.24), whereas the pre-to-post change in school-day sleep duration increased at baseline and at the end ( β =8.01) (all P <0.05). Conclusion A family-school collaborative sleep health intervention may be an effective strategy for improving sleep among fifth-grade primary school students.

Objective:To observe the effects of moxibustion at Shenshu(BL23)and Zusanli(ST36)on Toll-like receptor 4(TLR4)-myeloid differentiation factor 88(Myd88)signaling pathway-mediated inflammatory factors in the synovial tissue of ankle joints of rats with rheumatoid arthritis(RA),and to explore the molecular and biological mechanisms underlying the anti-inflammatory and analgesic effects.Methods:A total of 24 male Sprague-Dawley(SD)rats were randomly divided into a normal group,a model group,and a moxibustion group,with 8 rats in each group.The RA model was established with exposure to wind,cold,and damp environmental factors,along with Freund's complete adjuvant.After three days of modeling,mild moxibustion was applied to bilateral Shenshu(BL23)and Zusanli(ST36)in the moxibustion group using moxa sticks of 0.9 cm in diameter for 30 min each time,once a day for 14 d.Structural changes in the synovial tissue and cells were then observed using hematoxylin-eosin staining and transmission electron microscopy,while immunohistochemistry analysis was used to detect tumor necrosis factor(TNF)-α,interleukin(IL)-17,IL-1β,and IL-6 levels.Moreover,the protein expression levels of Myd88,TLR4,and transient potential receptor vanilloid type 1(TRPV1)in the synovial tissue were detected using Western blotting,while their mRNA expression levels were detected using reverse transcription-polymerase chain reaction.Finally,the levels of IL-1β,IL-2,IL-6,IL-17A,and TNF-α in rat serum were detected using enzyme-linked immunosorbent assay.Results:Compared to the normal group,the model group exhibited notable pathological synovial tissue damage,along with significantly higher IL-1β,IL-6,and TNF-α levels(P<0.01)and a slightly higher IL-17 content(P>0.05).Furthermore,the Myd88,TLR4,and TRPV1 protein and mRNA expression levels and serum IL-1β,IL-2,IL-6,IL-17A,and TNF-α levels were all significantly higher in the model group than in the normal group(P<0.01).Compared to the model group,the moxibustion group exhibited a lower degree of synovial tissue pathological damage,along with significantly lower IL-1β,IL-6,and TNF-α levels(P<0.05 or P<0.01)and a lower IL-17 content without statistical significance(P>0.05).Moreover,the Myd88,TLR4,and TRPV1 protein and mRNA expression levels,and serum IL-1β,IL-2,IL-6,IL-17A,and TNF-α levels were all significantly lower in the moxibustion group than in the model group(P<0.01 or P<0.05).Conclusion:Mild moxibustion at Shenshu(BL23)and Zusanli(ST36)can effectively inhibit TLR4-MyD88 signaling pathway-mediated inflammatory factor expression in the synovial tissue of ankle joints of RA rats.Furthermore,the effect of moxibustion on synovial tissue inflammation in RA rats may be attributed to TRPV1 channel activation.

Objective To evaluate the quality of Shuanghuanglian Oral Liquid after mutual substitution of honeysuckle and wild honeysuckle using total quantum statistical moment(TQSM)and molecular connectivity index(MCI).Methods UPLC fingerprint of Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian oral liquid(wild honeysuckle)were established,the TQSM parameters and similarity of the fingerprint were calculated;by reviewing relevant literature,as well as the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),chemical composition databases for Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was established,all components were divided into different component groups,and MCI and its similarity were calculated.Results The number of chromatographic peaks and total zero order moment(AUCT)of 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)were higher than those of Shuanghuanglian Oral Liquid(wild honeysuckle),but there was no significant difference in total first order moment(MRTT)and total second order moment(VRTT);the total quantum statistical moment similarity(TQSMS)between 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)was 1.000 0-0.824 6,the TQSMS between 15 batches of Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.659 0,and the TQSMS between 15 batches of Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.619 8.The MCI similarity of various components between Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle)was 1.000 0-0.984 9,with an overall MCI similarity of 0.995 8.Conclusion There is no significant difference in the various components and overall"imprinting template"between Shuanghuanglian Oral Liquid(honeysuckle)and Shuanghuanglian Oral Liquid(wild honeysuckle).It is speculated that the substitution of honeysuckle and wild honeysuckle will not affect the pharmacological properties of Shuanghuanglian Oral Liquid,but there may be differences in the intensity of pharmacological effects,with Shuanghuanglian Oral Liquid(honeysuckle)being the most effective.

Objective To investigate the correlation between serum monoamine oxidase(MAO),soluble growth stimulation expressed gene 2(sST2)and coronary slow flow(CSF),and to evaluate their value in pre-dicting CSF risk and guiding clinical decision-making.Methods A total of 118 patients with CSF confirmed by coronary angiography from January 2022 to September Dazhu Hospital Affiliated to North Sichuan Medical College 2023 were selected as the observation group,while 120 patients with normal coronary blood flow were selected as the control group.The coronary flow velocity was assessed using the TIMI frame count(TFC).Baseline characteristics,as well as serum MAO and sST2 levels,were compared between the two groups.Multi model calibration Logistic regression analysis was used to examine the relationship between the two markers and CSF.Pearson correlation analysis was conducted to evaluate the association between the markers and TFC.The predictive efficacy of MAO and sST2 for CSF and their benefit in clinical decision-making were as-sessed using receiver operating characteristic(ROC)curve and decision curve analysis(DCA).Results(1)The levels of body mass index(BMI),smoking proportion,C-reactive protein(CRP),uric acid(UA),creati-nine(Cr),MAO,and sST2 in the observation group were all higher than those in the control group(P＜0.05).(2)The TFC and mean TFC of LAD,LCX,and RCA in the observation group were higher than those in the control group(P＜0.05).(3)Multivariate Logistic regression analysis suggested that serum MAO and sST2 were independent risk factors for the occurrence of CSF(OR＞1,P＜0.05).(4)Pearson correlation a-nalysis showed that serum MAO and sST2 levels were positively correlated with the TFC of the LAD,LCX,and RCA,as well as the mean TFC(r=0.735,0.710,0.728,0.703,r=0.727,0.669,0.684,0.705,P＜0.05).(5)ROC curve revealed that the area under the curve(AUC)for predicting CSF was 0.761 of MAO,0.750 of sST2,and 0.807 of their combination.(6)DCA curve showed that the net benefit of serum MAO was greater than 0 when the threshold probability was between 0.05 and 0.70,the net benefit of serum sST2 was greater than 0 when the threshold probability was between 0.05 and 0.85,and their combined prediction yielded a greater net benefit within the threshold range of 0.40 to 0.90.Conclusion Elevated serum MAO and sST2 levels are independent risk factors for CSF.Both markers have good predictive value for CSF,and their combined detec-tion further improves predictive performance and clinical net benefit.