Objective To investigate the microbial contamination and its influencing factors of indoor air in public places in Xi'an City, to assess the health risk of employees, and to provide a scientific basis for improving the indoor environment of public places. Methods Total bacterial count and total fungal count in indoor air were monitored in hotels/inns, shopping malls/supermarkets, gyms, and waiting rooms in Xi'an from 2023 to 2024. The health risk assessment of employees was evaluated according to the Chinese Population Exposure Parameters Manual (Adult Volume). Results Overall, the standard-exceeding rate of total bacterial count in Xi'an was 3.85%, and the median values of total bacterial count and total fungal count were 350 CFU/m3 and 300 CFU/m3, respectively. The results of the generalized linear model showed that high indoor temperature and PM10 levels were associated with increased indoor bacterial concentrations (β>0, P<0.05), while high daily passenger flow, and high indoor relative humidity and PM₁₀ levels were associated with increased indoor fungal concentrations (β>0, P<0.05). The multivariate logistic regression showed that high levels of indoor bacterial and fungal concentrations were risk factors for respiratory discomfort among employees. The hazard quotient (HQ) values for all types of public places were less than 1, indicating that the health risk of microbial aerosol exposures for employees was relatively low. Conclusion The indoor microbial pollution in public places in Xi'an is relatively mild, but countermeasures still need to be taken to reduce indoor air microbial contamination.

Despite breakthroughs in immunotherapy for solid tumors, significant variations in treatment efficacy persist. Up to 80% of cancer patients suffer from malnutrition, which leads to: lymphoid atrophy and reduced T-cell reserves; deficiency of substrates required for T-cell activation and expansion; concurrent inflammation hindering T-cell infiltration into tumors; and cachexia accelerating PD-1 antibody clearance. Clinical studies confirm that severe malnutrition significantly impairs immune responses and increases the risk of treatment toxicity. Therefore, implementing standardized nutritional therapy is crucial for optimizing the reserve, activation, expansion, and infiltration capacity of immune cells, thereby providing a sound immune system foundation for immunotherapy. Immunonutrition therapy, by enhancing immunonutrients such as arginine, omega-3 polyunsaturated fatty acids, and nucleotides, reduces the secretion of pro-inflammatory mediators and promotes T-cell activation and proliferation. This enhances anti-tumor immune responses, prolongs survival, and advances cancer treatment towards multimodal combination and precision approaches.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

ObjectiveTo explore the potential categories and characteristics of the public hospice care demand in Hainan Province， and analyze different potential types of influencing factors， so as to provide reference for relevant departments to improve the public awareness and demand of hospice care. MethodsUsing convenience sampling method， select 6484 cities of the public as the survey object， using the general data questionnaire， the hospice care demand questionnaire of the potential profile analysis， and analyze the influencing factors of the public hospice care demand category. ResultsThe characteristics of the hospice care demand in Hainan Province were divided into three potential categories： low demand group （14.19%）， medium demand group （49.99%） and high demand group （35.82%）. Multivariate analysis showed that gender， age， education level， cultural belief， and life-death education experience were the main influencing factors of public hospice care demand （p<0.05）. Males， those aged 41-60 years， and those with high school education or below had relatively lower hospice care demand， while those with life-death education experience had relatively higher demand. ConclusionRelevant departments should focus on hospice care knowledge popularization and demand enhancement for males， middle-aged groups， and people with low education levels， while strengthening universal life-death education through stratified and classified publicity strategies and educational interventions to improve different populations’ awareness and acceptance of hospice care.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

ObjectiveTo establish a mouse model of hypoxic pulmonary hypertension (HPH) through intermittent hypoxia induction, and to develop a comprehensive and reliable evaluation system for the HPH model, thereby providing experimental evidence for mechanistic studies and translational applications related to this disease. MethodsTwenty-four male specific pathogen-free (SPF) BALB/c mice were randomly divided into a control group and a model group, with 12 mice per group. Mice in the model group were placed in a hypobaric oxygen chamber control system to establish the HPH model, whereas mice in the control group received no intervention. After 28 days of modeling, a comprehensive evaluation of the pathophysiological characteristics of both groups was performed using a general condition scoring scale, echocardiography, hemodynamic measurements, blood gas analysis, hematological tests, organ coefficient determination, histopathological examination, and enzyme-linked immunosorbent assay (ELISA). In addition, correlation analyses were conducted among echocardiographic parameters, the contents of endothelin‑1 (ET‑1) and N‑terminal pro‑B‑type natriuretic peptide (NT‑proBNP) in lung tissue, and other measured indices. ResultsWith prolonged modeling duration time, body weight, water intake, and activity level of mice in the model group were significantly decreased compared with the control group (P<0.05). Echocardiography showed that, compared with the control group, the model group exhibited increased right ventricular dimensions (P<0.01), right ventricular anterior wall thickening (P<0.01), and widened main pulmonary artery diameter (P<0.01), whereas the peak systolic velocity across the pulmonary valve, tricuspid annular plane systolic excursion, and peak systolic velocity of the tricuspid annulus were significantly decreased (P<0.001); tricuspid regurgitation was observed in some model animals. Hemodynamic results revealed that right ventricular systolic pressure was elevated in the model group compared with the control group (P<0.001). Blood gas analysis showed that pH, partial pressure of oxygen, oxygen saturation, actual bicarbonate, and total carbon dioxide were all decreased in the model group compared with the control group (P<0.01). Hematological indices demonstrated that lymphocyte counts (P<0.05) and reticulocyte counts (P<0.001) were decreased in the model group compared with the control group. Compared with the control group, the organ coefficients of heart and lung in the model group were significantly increased (P<0.05 and P<0.001). Pathological examination revealed that the right ventricular hypertrophy index was significantly increased in the model group (P<0.001), with varying degrees of damage to the right ventricle, pulmonary artery, and pulmonary vessels; both the pulmonary artery wall thickness percentage and the pulmonary wall area percentage were significantly elevated (P<0.001). ELISA results showed that the levels of ET‑1 and NT‑proBNP in lung tissues were significantly increased in the model group compared with the control group (P<0.05 and P<0.001, respectively). Correlation analysis indicated that some echocardiographic parameters were highly correlated with multiple indices in the development of HPH (P<0.05). ConclusionEchocardiography can accurately assess a series of hemodynamic changes in HPH, including right ventricular structural, functional impairment, and pulmonary hypertension. Laboratory tests not only help verify whether the model has been successfully established, but also provide deeper insights into the pathogenesis of HPH, evaluate the effects of interventions, and offer scientific evidence for clinical outcomes. Pathological examination can further confirm the alterations in pulmonary vascular remodeling and increased right heart load. This multimodal analysis provides a reliable animal model and evaluation paradigm for both basic and translational research on HPH, and is of great significance for exploring disease mechanisms and developing precision therapeutic strategies.

Objective:To construct a predictive model of ≥ grade 2 radiation esophagitis (RE) in patients with esophageal cancer during concurrent radiochemotherapy (CRT) based on machine learning (ML) algorithm.Methods:A retrospective analysis was conducted on the clinical data of 276 patients with esophageal cancer who had received CRT at Lu'an Hospital of Anhui Medical University from January 2018 to January 2023. The occurrence of RE was evaluated according to grading criteria of RE developed by American Radiation Therapy Oncology Group, with ≥ grade 2 RE as the outcome event. After screening variables through the least absolute shrinkage and selection operator (LASSO) regression, the dataset was re-established. The dataset was then divided into training set ( n=193) and testing set ( n=83) in a 7∶3 ratio and included in four ML models: random forest (RF) , decision tree (DT) , extreme gradient boosting (XGBoost) , and support vector machine (SVM) . In the models, data training and model optimization were conducted in the training set, and model performance was evaluated in the testing set using the receiver operator characteristic (ROC) curve. The area under the curve (AUC) , accuracy, precision, sensitivity, and F1 score were calculated to assess the model. SHAP analysis was used to explain the optimal model. Results:By the end of follow-up, 91 cases (32.97%) of esophageal cancer patients had experienced ≥ grade 2 RE during CRT. There were statistically significant differences in tumor lesion length ( Z=-5.53, P<0.001) , Karnofsky performance status (KPS) score ( χ2=5.92, P=0.015) , the Eastern Cooperative Oncology Group (ECOG) score ( χ2=4.01, P=0.045) , hypertension ( χ2=15.35, P<0.001) , diabetes ( χ2=13.06, P<0.001) , white blood cell count ( Z=-6.59, P<0.001) , neutrophil count ( Z=-6.72, P<0.001) , and radiotherapy dose ( χ2=9.81, P=0.002) between ≥ grade 2 RE occurrence group ( n=91) and no occurrence group ( n=185) . After LASSO regression screening, 7 characteristic variables were ultimately selected, which were tumor lesion length, ECOG score, KPS score, neutrophil count, hypertension, diabetes, and radiotherapy dose. ROC curve analysis showed that the XGBoost model had better predictive performance, with an AUC of 0.90, accuracy of 0.82, precision of 0.80, sensitivity of 0.73, and F1 score of 0.76. The AUC, accuracy, precision, sensitivity, and F1 score of RF model were 0.89, 0.78, 0.76, 0.48, and 0.59, respectively. The AUC, accuracy, precision, sensitivity, and F1 score of DT model were 0.72, 0.72, 0.44, 0.60, and 0.52, respectively. The AUC of SVM model was 0.74, with an accuracy of 0.82, precision of 0.52, sensitivity of 0.88, and F1 score of 0.65. The XGBoost model was explained using SHAP analysis, which indicated that the tumor lesion length, neutrophil count, hypertension, diabetes, and radiotherapy dose had a strong predictive ability for the occurrence of ≥ grade 2 RE during CRT in esophageal cancer patients. Conclusions:The model established based on the XGBoost method has good predictive performance for the occurrence of ≥ grade 2 RE in esophageal cancer patients during CRT. Meanwhile, combined with SHAP analysis, it can provide an intuitive understanding of the impact of important features in the model on the outcome.

Objective To investigate the prognostic value of serum procalcitonin(PCT),serum amyloid A(SAA),and heparin-binding protein(HBP)in pediatric patients with sepsis.Methods A total of 92 pediatric patients diagnosed with sepsis and admitted to Jianhu Hospital Affiliated to Xinglin College of Nantong University from May 2020 to May 2023 were retrospectively analyzed.Based on 28-day outcomes,the patients were categorized into survival group(n=65)and death group(n=27).Serum levels of PCT,SAA,and HBP were compared between the two groups.Their correlations with the Acute Physiology and Chronic Health Evaluation II(APACHE II)score were assessed using Spearman analysis.Multivariate logistic regression was performed to identify independent risk factors for poor prognosis.The predictive performance of PCT,SAA,and HBP for adverse outcomes was evaluated using receiver operating characteristic(ROC)curve.Results There were significant differences in terms of hospital stay,APACHE II score,SOFA score,and serum levels of PCT,SAA,and HBP between the two groups(P<0.05).Spearman correlation analysis indicated positive correlations between APACHE II score and serum levels of PCT,SAA,and HBP(P<0.05).Multivariate regression analysis revealed that elevated APACHE II and SOFA scores,as well as high levels of PCT,SAA,and HBP were independent risk factors for poor prognosis(P<0.05).Combined detection of PCT,SAA,and HBP showed high prognostic value,with an area under the ROC curve(AUC)of 0.868,sensitivity of 90.0%,and specificity of 96.8%.Conclusion Abnormal expression in serum PCT,SAA,and HBP are closely associated with poor prognosis in pediatric patients with sepsis.These biomarkers may serve as valuable indicators for predicting clinical outcomes of sepsis.

DNA methylation is the first epigenetic modification found in humans.Abnormal changes in DNA methylation are closely associated with the development and progression of diseases.Acupuncture,an important component of traditional Chinese medicine,has been shown to have significant therapeutic efficacy.The mechanisms underlying acupuncture are complex,involving physiological and pathological processes of integrated interactions across multiple targets.However,current research mostly focuses on a single target,highlighting the need for a more upstream approach to the investigation of the mechanisms.Herein,we reviewed studies on the direct or indirect regulation of DNA methylation via acupuncture.We also discussed its mechanisms of action in pain,obesity,depression,and Alzheimer disease,in order to provide a new perspective on the therapeutic mechanisms of acupuncture and the role of DNA methylation in the field of acupuncture research.Future research should concentrate on the effect of acupuncture on the DNA methylation of specific genes,the quantification of changes in DNA methylation at different acupoints,the development of individualized acupuncture prescriptions,further investigation of the specificity of the effects at different acupoint,and the expansion of the research to integrate epigenetics and genomics.This will provide a theoretical basis for the internationalization and the promotion of clinical application of acupuncture.