Intervertebral disc degeneration (IVDD) is the predominant pathological contributor to chronic low back pain, a pervasive musculoskeletal condition affecting over 630 million people globally and imposing tremendous socioeconomic and public health burdens. The etiopathogenesis of IVDD is remarkably complex and multifactorial, involving intricate crosstalk among chronic inflammatory responses, extracellular matrix (ECM) catabolism, cellular senescence, aberrant programmed cell death (including apoptosis, pyroptosis, and ferroptosis), mitochondrial dysfunction, and oxidative damage. Compelling evidence indicates that the inflammatory microenvironment acts as a decisive driving force throughout the entire degenerative course of IVDD. Among the diverse inflammatory mediators, interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) serve as core pro-inflammatory cytokines that initiate and perpetuate the degenerative cascade. These two pivotal cytokines collectively activate an array of canonical intracellular signaling pathways, including nuclear factor-κB (NF-κB), mitogen-activated protein kinase (MAPK), nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) inflammasome, and the phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) cascade. Such interconnected signaling networks trigger a self-reinforcing positive feedback loop, which exacerbates inflammatory reactions, disrupts the anabolic-catabolic homeostasis of the ECM, promotes oxidative stress and mitochondrial injury, induces multiple forms of disc cell death, and ultimately leads to progressive structural collapse and functional deterioration of the intervertebral disc. Conventional therapeutic strategies, dominated by nonsteroidal anti-inflammatory drugs and surgical interventions, are limited by systemic adverse reactions, suboptimal long-term efficacy, and the risk of adjacent segment degeneration. In contrast, traditional Chinese medicine (TCM) exhibits prominent advantages in the prevention and treatment of IVDD by virtue of its holistic regulation, syndrome differentiation, and multi-component, multi-target, multi-pathway pharmacological properties. This review systematically elucidates the molecular mechanisms by which inflammation-associated signaling pathways modulate disc cell fate and ECM metabolic homeostasis, and comprehensively summarizes the experimental progress over the past five years on TCM monomers and compound formulas for intervening in IVDD. Accumulating studies have confirmed that numerous natural active ingredients isolated from herbal medicines (ferulic acid, mangiferin, paeonol, astragaloside IV) and representative TCM compound prescriptions (Bushen Huoxue Formula, Shensuitongzhi Formula, Fuzi Decoction) exert synergistic protective effects by coordinately targeting core signaling hubs. These TCM agents demonstrate potent anti-inflammatory, antioxidant, anti-apoptotic, anti-pyroptotic, anti-ferroptotic, ECM-protective, and autophagy-regulating bioactivities, thereby effectively decelerating the pathological progression of IVDD. Despite remarkable progress, current investigations are still confronted by several critical limitations. Most studies are restricted to validating the regulatory effects of single TCM components on individual signaling pathways, leaving the systematic, dynamic, and synergistic mechanisms of TCM compound formulas within multi-pathway regulatory networks largely unexplored. Furthermore, clinical translation of TCM is severely hampered by the lack of efficient targeted drug delivery systems, unclear pharmacokinetic profiles, suboptimal local bioavailability, and incomplete long-term safety assessments. Therefore, future research should adopt an interdisciplinary paradigm integrating multi-omics technologies, artificial intelligence, organoid models, and organ-on-chip systems to systematically decipher the scientific basis of TCM against IVDD. Concurrently, the development of intelligent, site-specific delivery systems (hydrogels, nanoparticles, exosome-based carriers) is urgently needed to enhance the local accumulation and sustained release of TCM ingredients. By deepening mechanistic exploration and accelerating translational research, TCM is expected to evolve into safe, effective, and personalized precision therapeutic regimens for IVDD, offering novel and reliable solutions for the clinical management of chronic low back pain.

Intervertebral disc degeneration (IVDD) is the predominant pathological contributor to chronic low back pain, a pervasive musculoskeletal condition affecting over 630 million people globally and imposing tremendous socioeconomic and public health burdens. The etiopathogenesis of IVDD is remarkably complex and multifactorial, involving intricate crosstalk among chronic inflammatory responses, extracellular matrix (ECM) catabolism, cellular senescence, aberrant programmed cell death (including apoptosis, pyroptosis, and ferroptosis), mitochondrial dysfunction, and oxidative damage. Compelling evidence indicates that the inflammatory microenvironment acts as a decisive driving force throughout the entire degenerative course of IVDD. Among the diverse inflammatory mediators, interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) serve as core pro-inflammatory cytokines that initiate and perpetuate the degenerative cascade. These two pivotal cytokines collectively activate an array of canonical intracellular signaling pathways, including nuclear factor-κB (NF-κB), mitogen-activated protein kinase (MAPK), nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) inflammasome, and the phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) cascade. Such interconnected signaling networks trigger a self-reinforcing positive feedback loop, which exacerbates inflammatory reactions, disrupts the anabolic-catabolic homeostasis of the ECM, promotes oxidative stress and mitochondrial injury, induces multiple forms of disc cell death, and ultimately leads to progressive structural collapse and functional deterioration of the intervertebral disc. Conventional therapeutic strategies, dominated by nonsteroidal anti-inflammatory drugs and surgical interventions, are limited by systemic adverse reactions, suboptimal long-term efficacy, and the risk of adjacent segment degeneration. In contrast, traditional Chinese medicine (TCM) exhibits prominent advantages in the prevention and treatment of IVDD by virtue of its holistic regulation, syndrome differentiation, and multi-component, multi-target, multi-pathway pharmacological properties. This review systematically elucidates the molecular mechanisms by which inflammation-associated signaling pathways modulate disc cell fate and ECM metabolic homeostasis, and comprehensively summarizes the experimental progress over the past five years on TCM monomers and compound formulas for intervening in IVDD. Accumulating studies have confirmed that numerous natural active ingredients isolated from herbal medicines (ferulic acid, mangiferin, paeonol, astragaloside IV) and representative TCM compound prescriptions (Bushen Huoxue Formula, Shensuitongzhi Formula, Fuzi Decoction) exert synergistic protective effects by coordinately targeting core signaling hubs. These TCM agents demonstrate potent anti-inflammatory, antioxidant, anti-apoptotic, anti-pyroptotic, anti-ferroptotic, ECM-protective, and autophagy-regulating bioactivities, thereby effectively decelerating the pathological progression of IVDD. Despite remarkable progress, current investigations are still confronted by several critical limitations. Most studies are restricted to validating the regulatory effects of single TCM components on individual signaling pathways, leaving the systematic, dynamic, and synergistic mechanisms of TCM compound formulas within multi-pathway regulatory networks largely unexplored. Furthermore, clinical translation of TCM is severely hampered by the lack of efficient targeted drug delivery systems, unclear pharmacokinetic profiles, suboptimal local bioavailability, and incomplete long-term safety assessments. Therefore, future research should adopt an interdisciplinary paradigm integrating multi-omics technologies, artificial intelligence, organoid models, and organ-on-chip systems to systematically decipher the scientific basis of TCM against IVDD. Concurrently, the development of intelligent, site-specific delivery systems (hydrogels, nanoparticles, exosome-based carriers) is urgently needed to enhance the local accumulation and sustained release of TCM ingredients. By deepening mechanistic exploration and accelerating translational research, TCM is expected to evolve into safe, effective, and personalized precision therapeutic regimens for IVDD, offering novel and reliable solutions for the clinical management of chronic low back pain.

BACKGROUND:Estrogen receptor α can act as an upstream protein to regulate the expression and phosphorylation level of adenosine monophosphate-activated protein kinase(AMPK).Activation of the estrogen receptor α-AMPK signaling pathway promotes osteogenic proliferation and differentiation.OBJECTIVE:To explore the molecular mechanism of estrogen receptor α regulating AMPK and its effect on osteoblast proliferation and differentiation at osteoblast cell line and molecular biology levels.METHODS:(1)The passaged MC3T3-E1 mouse embryonic osteoblasts were divided into three groups:blank control group,mock group(transfected with pCDNA3.1 control plasmid),and estrogen receptor α group(transfected with pCDNA3.1-estrogen receptor α overexpression plasmid),and RT-qPCR and western blot methods were used to detect the hepatic kinase B1,CaMKKβ,and AMPKα1 mRNA,protein and phosphorylation levels.(2)ChIP-qPCR was used to demonstrate that estrogen receptor α interacts with the hepatic kinase B1 promoter.Dual luciferase assay was used to demonstrate that estrogen receptorα interacts with the hepatic kinase B1 promoter region to activate its transcriptional expression.(3)The cells were divided into three groups:mock+shNC group,estrogen receptor α+shNC group,and estrogen receptor α+shLKB1 group.Changes in the expression levels of hepatic kinase B1,phosphorylated hepatic kinase B1,and phosphorylated AMPKα1 proteins in the cells were detected by western blot.(4)The cells were divided into four groups:mock group,estrogen receptor α group,estrogen receptor α+5 μmol/L Compound C(AMPK inhibitor)group,and estrogen receptor α+10 μmol/L Compound C group.The expression of proteins related to the AMPK signaling pathway and related to osteogenesis and osteoinductivity were detected by western blot method.Cells were transfected for 24 hours and then subjected to osteogenic induction for 14 days.Alkaline phosphatase staining was performed and cell viability in each group was detected.Mineralized nodule formation was detected by alizarin red staining at 21 days of osteogenic induction.(5)The cells were transfected and pretreated with different concentrations of AMPK inhibitor in corresponding groups,and cell viability was detected by cell counting kit 8.RESULTS AND CONCLUSION:(1)Estrogen receptor α activates the AMPK signaling pathway in MC3T3-E1 cells.(2)Estrogen receptor α promotes liver kinase B1 transcription and mediates AMPK signaling pathway activation.(3)Estrogen receptor α promotes the proliferation and differentiation of MC3T3-E1 cells by activating the AMPK signaling pathway,and the expression of AMPKα1,p-AMPKα,osteoprotegerin,osteopontin,and Runx2 proteins was down-regulated under the intervention of AMPK inhibitor,and the viability of osteoblasts was decreased.(4)To conclude,estrogen receptor α activates the AMPK signaling pathway by acting on liver kinase B1 promoter,promotes osteoblast proliferation and osteogenic differentiation,and prevents osteoporosis.

Objective:To explore the potential causal relationships between major depressive disorder(MDD),anxiety disorder(AD)and various highly prevalent cancers from the genetic perspective.Methods:Sum-mary statistics from large-scale genome-wide association studies(GW AS)were analyzed using a bidirectional two-sample Mendelian randomization(MR)approach.The inverse variance weighting method(IVW)was usedas the main analytical approach.The intercept term of MR-Egger regression and the MR-PRESSO method were adopted for the pleiotropy test.Results:The IVW analysis revealed potential causal relationships between MDD and breast cancer[OR(95％CI):1.11(1.01-1.22),P＜0.05],AD and lung cancer[OR(95％CI):1.30(1.02-1.65),P＜0.05],and between colon cancer and MDD[OR(95％CI):1.05(1.00-1.11),P＜0.05].The results of the pleiotropy test showed that the intercept terms of the MR-Egger regression were not statistically significant,indica-ting the absence of pleiotropy.The MR-PRESSO method detected outliers only in the relationship between MDD and breast cancer.The association between MDD and breast cancer remained significant after correction for outliers[OR(95％CI):1.10(1.03-1.17),P＜0.05].Conclusion:The study suggests that MDD may be a risk factor for breast cancer,AD may increase the risk factor for lung cancer,and colon cancer may elevate the risk factor of MDD.Moreover,the possibility of reverse causal relationships has been excluded in all these cases.

The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.

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

Objective:To investigate the differences in dosimetric parameters for target volumes and organs at risk (OARs), radiation doses to reconstructed tissues, and beam-on time in radiotherapy among helical tomotherapy (HT), volumetric modulated arc therapy (VMAT), and fixed-field intensity-modulated radiotherapy (F_IMRT) following immediate breast reconstruction for breast cancer, thereby providing a reference for the selection of clinical radiotherapy techniques.Methods:This study retrospectively investigated 15 breast cancer patients who underwent radiotherapy following modified radical mastectomy and immediate breast reconstruction at the Liuzhou Worker′s Hospital from August 2018 to July 2023. During target volume delineation, precautions were taken to avoid the reconstructed tissues, which were delineated separately. Customized HT, VMAT, and F_IMRT treatment plans were designed for each patient. The plans were categorized into the HT, VMAT, and F_IMRT groups based on different radiotherapy techniques employed. They were comparatively analyzed through one-way analysis of variance (ANOVA), with multiple comparisons further conducted in the case of significant differences.Results:Statistical analyses reveal significant differences in various parameters of target volumes among the three groups of plans ( F = 38.73, 14.95, 37.01, 48.05, 35.55, 22.56, 34.30, P < 0.05). Pairwise comparisons indicate that the maximum dose ( D2%), minimum dose ( D98%), mean dose ( Dmean), and the proportion of high-dose volumes within the target volume ( V107%and V110%) in both the HT and VMAT groups were significantly better than those in the F_IMRT group. The HT group demonstrated the optimal conformity index (CI), while the VMAT group displayed the superior homogeneity index (HI) compared to the other two groups. In terms of OAR, the V20 of the ipsilateral lung was the lowest in the HT group ( F = 14.31, P < 0.05) and the highest in the F_IMRT group ( F = 14.31, P < 0.05). However, the V5 and Dmean for both the ipsilateral and contralateral lungs in the HT group significantly surpassed those of the other groups ( F = 39.16, 31.91, P < 0.05). The mean dose Dmean ( F = 5.57, P < 0.05) of the contralateral breast was significantly reduced in the VMAT group compared to the other two groups. No statistically significant differences were observed for other OARs, including the heart, spinal cord PRV, thyroid, and humeral head ( P > 0.05). The radiation doses to reconstructed tissues ( Dmax, V53.5, Dmean) ascended in the order of HT, VMAT, and F_IMRT groups ( F = 17.69, 17.53, 15.11, P < 0.05). The HT and F_IMRT groups showed similar beam-on times ( P > 0.05), both exceeding that of the VMAT group by several folds ( F = 28.72, P < 0.05). Conclusions:The comparative analysis indicates that the three radiotherapy techniques exhibit distinct advantages and limitations, with F_IMRT demonstrating the least comprehensive advantage. HT can enhance the conformity of target volumes while reducing the overall radiation doses to reconstructed tissues and the crucial indicator V20 in the ipsilateral lung. VMAT demonstrates the highest treatment efficiency, yielding improved dose uniformity in the target volume and reduced radiation doses to the contralateral breast. It is advisable to prioritize HT or VMAT based on actual clinical conditions.

Objective To analyze the deployment of policy instruments and the distribution of stakeholder engagement in provincial policies on nursing assistant training and management.Methods The relevant policy texts on nursing assistant training and management were systematically searched and collected from the official websites of provincial governments and their direct departments,CNKI,and the PKU Law Database.A two-dimensional framework of policy instruments-stakeholder was constructed,and the content analysis was used to classify,encode and quantify policy clauses.Results The study encompassed 20 provincial-level nursing assistant training and management policies,yielding a total of 359 codes.Within the policy instruments dimension,environmental,supply,and demand instruments constituted 66.30％,28.97％,and 4.74％,respectively.In terms of stakeholders,the management-side accounted for 56.55％,providers and trainers for 18.11％each,partners for 5.01％,and demand-side for 2.23％.Both management-side and trainers engaged with 3 policy instruments,providers with 2,and partners and demand-side with one each.Conclusion In the provincial nursing assistant training and management policies,there are differences in the deployment of policy instruments,and the distribution of stakeholders is uneven.Managers should pay attention to publicity guidance and platform construction,improve incentive mechanisms and training programs,and innovate cooperation models with stakeholders,as well as strengthen communication and exchange.

Objective:Based on the activities of Helicobacter pylori ( HP) screening in Jiangsu Province in 2024, to evaluate the overall management ability in HP screening, testing, treatment and follow-up in primary medical facilities. Methods:From May 15 to October 18, 2024, the data of HP screening and treatment were retrospectively collected from 79 township health centers, community hospitals, and community health service centers in Jiangsu Province. The rates of screening completion, urea breath test (UBT) completion, treatment rate, UBT follow-up completion, and HP eradication were analyzed. Chi-square test was used for statistical analysis. Results:The completion rate of HP screening was 94.45% (15 489/16 400). There were 6 604 cases (42.64%) with serum HP antibody positive among the 15 489 individuals who completed screening. The positive rate of serum HP antibody in males was higher than that in females (44.77%, 2 643/5 904 vs. 41.32%, 3 961/9 585), and the difference was statistically significant ( χ2=17.69, P<0.001). The positive rates of serum HP antibody in screened individuals aged 18 to 19, 20 to 39, 40 to 59, and 60 to 75 years old were 22.38% (32/143), 36.12% (1 168/3 234), 45.01% (3 240/7 199), and 44.05% (2 164/4 913), respectively, and the difference was statistically significant( χ2=100.73, P<0.001). Among the 6 604 HP antibody-positive individuals, 4 381 cases completed UBT, with a UBT completion rate of 66.34% (4 381/6 604). There were 3 197 individuals with both HP serum antibody and UBT positive, the consistency rate of the 2 tests was 72.97% (3 197/4 381). Totally 2 737 cases received treatment, with a treatment completion rate of 85.61% (2 737/3 197); 2 327 individuals underwent UBT follow-up, with a follow-up completion rate of 85.02% (2 327/2 737). During follow-up, the result of UBT was negative in 1 982 individuals, and the HP eradication rate was 85.17% (1 982/2 327). Conclusions:There are deficiencies in the completion rate of HP screening, testing, treatment, and follow-up in primary hospitals, especially in the completion rate of UBT, which may be related to cognitive insufficiency for HP in residents. It is necessary to strengthen the training of physicians′ abilities in primary hospitals, optimize the allocation of drug resources, enhance health education, and increase residents′ participation and compliance.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.