ObjectiveTo analyze the diversity and structural characteristics of microbial communities in the rhizosphere soil of healthy and diseased Andrographis paniculata and to explore the interactions of soil， plants， and microorganisms during the occurrence of diseases. MethodsThe physicochemical properties of the rhizosphere soil of healthy and diseased A.paniculata were determined， and the composition and diversity of bacterial and fungal communities in the rhizosphere soil were analyzed by Illumina high-throughput sequencing. Furthermore， the correlations between physicochemical properties and microorganisms of the rhizosphere soil were explored. ResultsThe content of total nitrogen， total potassium， and available potassium in the rhizosphere soil of diseased A. paniculata was significantly higher than that of healthy A. paniculata. The alpha diversity and richness （operational taxonomic units） of bacterial and fungal communities in the rhizosphere soil of diseased plants decreased compared with those of healthy plants. The microbial communities in the rhizosphere soil of healthy and diseased A. paniculata showed similar composition but different relative abundance. At the phylum level， the relative abundance of Proteobacteria and Chytridiomycota significantly increased， while that of Bacteroidota significantly decreased in the rhizosphere soil of diseased plants. At the genus level， the relative abundance of Sphingomonas， Pseudomonas， and Bryobacter significantly increased， while that of RB41 showed a significant decrease in the rhizosphere soil of diseased plants. The correlation analysis showed different correlations of microbial phyla with physicochemical properties of the rhizosphere soil between healthy and diseased plants. Organic matter， alkaline nitrogen， available phosphorus， and total potassium were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of healthy plants， while available nitrogen and total phosphorus were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of diseased plants. ConclusionThere are differences in the diversity and richness of microbial communities in the rhizosphere soil of healthy and diseased A. paniculata. The physicochemical properties of soil may have an impact on the rhizosphere microorganisms of A. paniculata， leading to the development of diseases. The results provide a scientific basis for the prevention and ecological management of A. paniculata diseases.

ObjectiveTo analyze the diversity and structural characteristics of microbial communities in the rhizosphere soil of healthy and diseased Andrographis paniculata and to explore the interactions of soil， plants， and microorganisms during the occurrence of diseases. MethodsThe physicochemical properties of the rhizosphere soil of healthy and diseased A.paniculata were determined， and the composition and diversity of bacterial and fungal communities in the rhizosphere soil were analyzed by Illumina high-throughput sequencing. Furthermore， the correlations between physicochemical properties and microorganisms of the rhizosphere soil were explored. ResultsThe content of total nitrogen， total potassium， and available potassium in the rhizosphere soil of diseased A. paniculata was significantly higher than that of healthy A. paniculata. The alpha diversity and richness （operational taxonomic units） of bacterial and fungal communities in the rhizosphere soil of diseased plants decreased compared with those of healthy plants. The microbial communities in the rhizosphere soil of healthy and diseased A. paniculata showed similar composition but different relative abundance. At the phylum level， the relative abundance of Proteobacteria and Chytridiomycota significantly increased， while that of Bacteroidota significantly decreased in the rhizosphere soil of diseased plants. At the genus level， the relative abundance of Sphingomonas， Pseudomonas， and Bryobacter significantly increased， while that of RB41 showed a significant decrease in the rhizosphere soil of diseased plants. The correlation analysis showed different correlations of microbial phyla with physicochemical properties of the rhizosphere soil between healthy and diseased plants. Organic matter， alkaline nitrogen， available phosphorus， and total potassium were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of healthy plants， while available nitrogen and total phosphorus were correlated with the relative abundance of some dominant bacterial and fungal phyla in the rhizosphere soil of diseased plants. ConclusionThere are differences in the diversity and richness of microbial communities in the rhizosphere soil of healthy and diseased A. paniculata. The physicochemical properties of soil may have an impact on the rhizosphere microorganisms of A. paniculata， leading to the development of diseases. The results provide a scientific basis for the prevention and ecological management of A. paniculata diseases.

Objective To investigate the current status of quality control of radiological diagnosis and treatment equipment in Shenzhen City, explore the problems in quality control testing of radiological diagnosis and treatment equipment, and provide control strategies. Methods According to the requirements of the Special Monitoring Work Plan for Radiation Health in Shenzhen, quality control tests were carried out on some radiological diagnosis and treatment equipment in Shenzhen according to the test items and methods of the currently valid national standards. Results From 2019 to 2023, a total of 72 medical institutions participated in radiological health monitoring program in Shenzhen, and 839 quality control tests were performed on radiological diagnosis and treatment equipment. The qualified rate was 91.8% in preliminary tests. The qualified rates of radiological diagnosis, radiotherapy, and nuclear medicine equipment were 91.9%, 96.3%, and 62.5%, respectively. The primary unqualified items were response uniformity, flatness of the X-ray irradiation field, and intrinsic spatial linearity. Conclusion The qualified rate in quality control of nuclear medical equipment is relatively low. Medical institutions should strengthen the routine maintenance of radiological diagnosis and treatment equipment. Radiological health technical service institutions should enhance the training of technical personnel to ensure the health and safety of patients and radiation workers.

Objective To investigate indoor radon concentrations and environmental cumulative doses in residential and office units in Shenzhen, and estimate the average annual effective dose, and to provide data for assessing public health risks. Methods Within the 11 administrative districts of Shenzhen (including the Shenzhen-Shanwei Special Cooperation Zone), 17 residential units and 3 office units were randomly selected as monitoring sites in each district. The units selected represented buildings of different ages and various floors on which the units were located. Radon detectors and environmental cumulative dosimeters were deployed for monitoring. Results The indoor radon concentrations in Shenzhen during the two monitoring periods were (36.6 ± 16.5) Bq/m³ and (19.8 ± 15.3) Bq/m³, respectively. The environmental cumulative doses for the two monitoring periods were (0.33 ± 0.07) mSv and (0.25 ± 0.04) mSv, respectively. The estimated average annual effective dose due to indoor radon in Shenzhen was 0.92 mSv. Conclusion All monitored indoor radon concentrations in Shenzhen were below the national standard of China. The indoor radon concentrations exhibited significant regional variations, were higher in spring than in summer, and showed no statistically significant differences across buildings of different ages or units of various floors. The trends in indoor radon concentrations and environmental cumulative doses were highly consistent. The average indoor radon concentration in Shenzhen was lower than both the global and national levels, indicating a low risk of internal radiation exposure from radon.

Five meroterpenoids, rhodonoids K-M (1-2), daurichromene E (3), and grifolins A-B (4-5), together with seven known compounds (6-12), were isolated from Rhododendron anthopogonoides. The chemical structures of these compounds were elucidated through comprehensive analysis of high-resolution electrospray ionization mass spectrometry (HR-ESI-MS), ultraviolet (UV), infrared spectroscopy (IR), and nuclear magnetic resonance (NMR) data. Their absolute configurations were determined by comparing experimental electronic circular dichroism (ECD) spectra with computed values. Notably, compounds 1 and 3 demonstrated significant inhibitory effects on lipopolysaccharide (LPS)-induced inflammation in RAW264.7 cells. These compounds markedly suppressed the mRNA expressions of inflammatory factors, including interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) while also down-regulating the protein expressions of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2).
Mice ; Rhododendron/chemistry* ; Animals ; Anti-Inflammatory Agents/isolation & purification* ; RAW 264.7 Cells ; Terpenes/isolation & purification* ; Molecular Structure ; Tumor Necrosis Factor-alpha/immunology* ; Cyclooxygenase 2/immunology* ; Nitric Oxide Synthase Type II/immunology* ; Macrophages/immunology* ; Interleukin-6/immunology* ; Lipopolysaccharides ; Interleukin-1beta/immunology*

Objective To analyze the activity concentrations of gross α, gross β, and radionuclides in atmospheric fallout around Daya Bay Nuclear Power Plant from 2019 to 2022, and provide foundational scientific data for the healthy development of nuclear energy. Methods Five monitoring sites were set up at different distances (1.2, 6.9, 12.4, 42.3, and 69.2 km) from Daya Bay Nuclear Island 1. Stainless steel sampling barrels were used to collect atmospheric fallout, with a monitoring cycle of three months. The collected samples were ashed using radiochemical method. Subsequently, the gross α and gross β radioactivity were quantified using a low-background α/β measurement instrument. The remaining ash samples were mixed with water and left to equilibrate for over three weeks before γ-nuclide analysis using a low-background, high-purity germanium γ-spectrometer. Results The gross α activity concentration in atmospheric fallout around Daya Bay Nuclear Power Plant from 2019 to 2022 averaged (25.3 ± 10.6) Bq/m²/season and ranged from 5.8 to 73.4 Bq/m²/season. The gross α activity concentrations in sampling sites #1 to #5 were 5.8-34.4, 11.9-35.2, 14.4-46.4, 7.2-73.4, and 13.1-43.1 Bq/m²/season, respectively. The gross β activity concentration averaged (50.5 ± 23.4) Bq/m²/season and ranged from 13.9 to 139.3 Bq/m²/season. The gross β activity concentrations of sampling sites #1 to #5 were 17.1-107.4, 17.6-87.5, 25.8-102.0, 13.9-139.3, and 23.4-99.2 Bq/m²/season, resprctively. The activity concentrations of ²³⁸U, ²²⁶Ra, ²³²Th, ⁴⁰K, ²¹⁰Pb, and ⁷Be in atmospheric fallout were < lower limit of detection (LLD)-4.2, < LLD-5.8, < LLD-6.3, < LLD-42.1, < LLD-514.0, and 35.7-1761.0 Bq/m²/season, respectively. Gross α and gross β activity concentrations were significantly positively correlated with ²¹⁰Pb activity concentration (r=0.770, α < 0.001; r=0.882, α < 0.001, respectively). Gross β activity concentration showed a significant positive correlation with ⁷Be (r=0.833, α < 0.001). The activity concentrations of ⁵⁴Mn, ⁵⁷Co, ⁵⁸Co, ⁶⁰Co, ⁵⁹Fe, ⁹⁵Zr, ¹⁰³Ru, ¹⁰⁶Ru, ^110mAg, ¹³¹I, ¹³⁴Cs, ¹³⁷ Cs, ¹⁴⁰Ba and ¹⁹²Ir were lower than the LLD of the instrument, and no artificial radionuclides were detected. Conclusion The gross α and gross β radioactive activity concentrations in the atmospheric fallout in the surrounding area of Daya Bay Nuclear Power Plant during 2019-2022 were affected by natural radionuclides ²¹⁰Pb and ⁷Be, and were in the normal fluctuation ranges. No artificial radionuclides were found in the atmospheric fallout, and the Daya Bay Nuclear Power Plant was in a safe and stable state of operation.

Cognitive decline is one of the most common adverse symptoms following acute high-altitude exposure(AHAE).MRI can reveal the structural and functional changes in brain caused by AHAE,thereby deeply understanding the specific mechanism of its cognitive decline,which is of great significance for early prevention and intervention.Research progresses on MRI assessment of cognitive function after AHAE and related intervention methods were reviewed in this article.

Objective To explore the application effect of multimodal somatosensory exercise based on artificial intelligence technology in home rehabilitation exercise for elderly patients with chronic obstructive pulmonary dis-ease(COPD),so as to promote COPD patients to participate in home rehabilitation exercise.Methods Using the convenient sampling method,80 elderly patients with COPD admitted to the Department of Respiratory Medicine of a tertiary A hospital in Urumqi from November 2023 to February 2024 were selected as the research subjects.Ac-cording to the random number table method,they were divided into a control group and an experimental group,with 40 cases in each group.The control group adopted the traditional exercise training method,and the experimental group adopted the multi-modal somatosensory movement based on artificial intelligence technology for exercise in-tervention,with 5 times a week,and the intervention was implemented for 12 weeks.The pulmonary function index,modified Medical Research Council scale score,physical fitness level,Chronic Obstructive Pulmonary Disease As-sessment Test scale score and exercise compliance of the 2 groups were compared before intervention and 12 weeks after intervention.Results 77 patients completed the study,with 39 in the experimental group and 38 in the control group.The forced vital capacity,forced expiratory volume in one second,forced expiratory volume in one second to forced vital capacity ratio,physical fitness level and exercise compliance of the experimental group were higher than those of the control group,while the modified British Medical Research Council scale score and Chron-ic Obstructive Pulmonary Disease Assessment Test score were lower than those of the control group.The differences were statistically significant(P＜0.05).Conclusion Somatosensory exercise based on artificial intelligence technology can improve the lung function of the patients with COPD,improve the exercise compliance and physical fitness in-dicators of elderly patients and improve the quality of life of the patients.

Objective:To establish a prognostic model and explore its clinical application based on disease progression within 24 months(POD24)in patients with multiple myeloma(MM).Methods:A total of 289 patients newly diagnosed with MM at Wuxi People's Hospital from January 2007 to June 2022 were selected as the training group for retrospective analysis.A prognostic model based on POD24 was constructed using Cox univariate and multivariate analyses of overall survival(OS).A total of 184 patients from The First Affiliated Hospital of Soochow University from August 2015 to December 2019 were included in the validation group to verify the predictive efficacy of the model.Results:Age,β2-microglobulin,Calcium,and POD24 were independent prognostic factors for MM.Patients in the high-risk group(≥2 points)had shorter OS(25.0 months vs.60.0 months)and progression-free survival(PFS)(14.0 months vs.56.0 months)than those in the low-risk group(<2 points).In addition,OS and PFS differed between the high-and low-risk groups in the entire validation group,as well as in each patient subgroup(P<0.05).Conclusions:The prognostic model based on POD24,age,β2 microglobulin,and Calcium holds prognostic value for patients newly diagnosed with MM in clinical practice.

Objective:To investigate the relationship between lean lipid accumulation product (LAP) and metabolic associated fatty liver disease (MAFLD).Methods:This cross-sectional study consecutively enrolled 1 990 adult subjects who underwent health examinations at the Second Affiliated Hospital of Xi′an Jiaotong University between June 2021 and May 2023. All recruited participants had a body mass index (BMI)<23 kg/m2. Data collection included general information, physical examination, serum biochemical parameter measurements, and liver ultrasonography. Participants were divided into four groups (Q1-Q4) according to quartiles value of LAP from low to high. The differences of biochemical parameters and the prevalence of lean MAFLD were compared among the groups. Logistic regression, restricted cubic spline (RCS) and receiver operating characteristic (ROC) curve analysis were used to explore the relationship between LAP and lean MAFLD and assess the diagnostic predictive value of LAP for lean MAFLD.Results:A total of 1990 participants were selected, and the detection rate of lean MAFLD was 4.97% (99 cases). The detection rate of lean MAFLD showed a significant increasing trend from Q1 to Q4 groups ( P<0.001) and respectively was 0.40%, 0.81%, 4.01% and 14.70%. The average age, male proportion, BMI and waist circumference significantly increased in a dose-response manner from Q1 to Q4 (all P<0.001). Indirect bilirubin, alanine aminotransferase, aspartate aminotransferase, γ-glutamyltranspeptidase, alkaline phosphatase, total cholesterol, triglycerides, low-density lipoprotein, serum uric acid, fasting blood glucose, fatty liver index, fibrosis-4 index and every metabolic syndrome component in groups Q2 to Q4 were significantly higher than in the Q1 group, while high-density lipoprotein levels gradually decreased (all P<0.05). RCS showed that the risk of lean MAFLD rose significantly with the increase of LAP ( P<0.005), presenting a nonlinear relationship between them ( P for nonlinear<0.001). Logistic regression analysis revealed that after adjusting other confounding factors, the risk of lean MAFLD in the Q4 group remained 4.75 times higher than that in the Q1 group (95% CI: 11.22-31.69, P<0.05). ROC curve demonstrated that LAP had a better predictive value for lean MAFLD than BMI and waist circumference, with area under the curve of 0.839, critical value of 19.59, diagnostic sensitivity of 82.8% and specificity of 75.1%. Conclusions:Elevated LAP is independently and positively correlated with the risk of lean MAFLD, and its predictive efficacy is significant superior to traditional obesity indicators.