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 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.

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 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.

Objective:To investigate the intelligence status of children aged 10 - 12 in rural areas of Linxia Hui Autonomous Prefecture (referred to as Linxia) in Gansu Province.Methods:From September to November 2019, a cross-sectional study was carried out to investigate the intelligence status of children aged 10 to 12 in 8 counties (cities) of Linxia. Chinese Raven's Progressive Matrices (rural version) was used for intelligence test and children's intelligence quotient (IQ) was calculated by regular mold to evaluate children's intelligence level.Results:A total of 1 721 children in Linxia were tested for intelligence, with an average IQ of 103.2. Among them, low intelligence (≤69) accounted for 1.0% (18/1 721), borderline (70 - 79) accounted for 3.0% (52/1 721), middle and lower (80 - 89) accounted for 8.4% (144/1 721), moderate (90 - 109) accounted for 56.6% (974/1 721), middle and upper (110 - 119) accounted for 21.9% (377/1 721), excellent (120 - 129) accounted for 7.8% (135/1 721), extremely excellent (≥130) accounted for 1.2% (21/1 721). There were 635, 598 and 488 children aged 10, 11 and 12, respectively, with an average IQ of 106.1, 103.3 and 99.2. There were 919 males and 802 females, with an average IQ of 102.9 and 103.4, respectively.Conclusion:In 2019, the intelligence of children aged 10 to 12 in rural areas of Linxia has reached the moderate level.

Objective To understand the impact of system reform of salt industry on iodine nutrition of people in Gansu Province, and to provide a scientific basis for policy adjustment of relevant departments. Methods The investigation period (2014-2021) was divided into two sub-periods: before system reform of salt industry (2014-2016) and after system reform of salt industry (2017-2021). Thirty counties were selected according to the method of ^“population proportional probability sampling (PPS)^” in 2014. According to the iodine deficiency disease monitoring program of Gansu Province, from 2016 to 2021, children aged 8-10 years and pregnant women were taken as research objects to collect urine samples for urine iodine detection. Children in 2014 and 2018 were selected to measure thyroid volume. Results A total of 90 989 children urine iodine samples were investigated, and the median urinary iodine (MUI) of children was 194.70µg/L; 7 663 and 83,326 children's urinary iodine samples were investigated in the two periods, the MUI was 180.73 µg/L and 196.00 µg/L, respectively, and the difference was statistically significant (P<0.05). A total of 44 741 pregnant women's urinary iodine samples were investigated, and the MUI of pregnant women was 176.50 µg/L; 4 480 and 40 261 pregnant women's urinary iodine samples were investigated in the two periods, the MUI was 160.61 µg/L and 178.10 µg/L, respectively, and the difference was statistically significant (P<0.05). The thyroid volume of 1 555 children and 8 509 children was investigated in the two periods, the median thyroid volume was 2.70 mL and 2.55 mL , respectively, and the difference was statistically significant (P<0.05). The rates of goiter in children were 3.15% and 1.26%, respectively, and the difference was statistically significant (P<0.05). Conclusion The iodine nutrition of people in Gansu Province has not fluctuated significantly after the reform of salt industry system and has maintained an appropriate level. It is necessary to pay attention to the potential risk of insufficient iodine nutrition level and thyroid health of key populations such as children and pregnant women and strengthen health education of scientific iodine supplementation.

Objective To explore the effects of HPV16 E6 on genes and signaling pathways in cervical epithelial cells and to screen genes associated with oncogenic transformation.Methods HUCEC models infected with HPV16 E6 were constructed,and transcriptome sequencing was performed to screen for differentially expressed genes(DEGs),which were subjected to Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment to analyze the differential signaling pathways.RT-qPCR was used to validate major differentially down-regulated expressed genes.After predicting the major differentially expressed proteins by molecular docking analysis,the expression of major differential genes in HUCEC cell model was verified by RT-qPCR and Western blotting.In addition,RT-qPCR and Western blotting were used to further verify the expression of major differential genes in cervical cancer cell lines,SiHa and CaSki.Results A total of 55 genes with more than two-fold differential expression were screened.The results centering on down-regulated genes showed that the negatively regulated differential gene was mainly enriched in redox processes;KEGG enrichment analysis revealed that it was mainly associated with carbohydrate metabolism and cancer.RT-qPCR results showed that the down-regulated differential expression trends of the selected 10 genes were basically consistent with the sequencing results.Molecular docking analysis predicted an interaction between DHRS2 and HPV16 E6,and RT-qPCR and Western blotting confirmed that HPV16 E6 down-regulated DHRS2 mRNA(P＜0.01)and protein(P＜0.05)and ETV5 protein expression(P＜0.01).In SiHa and CaSki cells,compared with the control group,the mRNA and protein expression of DHRS2 was downregulated and positively correlated with the trend of P53 protein expression(P＜0.05).Conclusion HPV16 E6 can mediate oncogenic transformation of cervical cells and promote cervical carcinogenesis through downregulating DHRS2 expression.

Objective:To evaluate the testing capability of urinary iodine laboratories in Gansu Province and analyze the existing problems.Methods:Z-score method and uncertainty analysis were used to analyze the external quality control assessment results of urinary iodine laboratories in Gansu Province from 2017 to 2021 (data were collected from Gansu Center for Disease Prevention and Control).Results:From 2017 to 2021, the participation rate in the assessment of urinary iodine laboratories in the province was 100.0% (473/473), the feedback rate was 99.8% (472/473), and the pass rate was 91.9% (434/472). The pass rates for assessment from 2017 to 2021 were 82.7% (62/75), 93.9% (93/99), 94.9% (93/98), 92.0% (92/100), and 94.0% (94/100), respectively. The pass rates for provincial, municipal, and county assessments were 5/5, 98.6% (69/70), and 90.7% (360/397), respectively. The proportions of │Z│≤2, 2 <│Z│ < 3, and│Z│≥3 between laboratories in the province were 84.5% (399/472), 9.3% (44/472), and 6.2% (29/472), respectively. The proportions of│Z│≤2, 2 <│Z│ < 3, and│Z│≥3 within the laboratories were 88.6% (418/472), 9.1% (43/472), and 2.3% (11/472), respectively. There was a significant difference in the composition of │Z│ scores between laboratories annually (χ 2 = 24.60, P = 0.002), the proportion of│Z│≤2 increased from 66.7%(50/75) in 2017 to 90.0% (90/100) in 2021. The│Z│ scores between and within provincial laboratories were both ≤2. The proportion of │Z│≤2 between municipal and county-level laboratories was 91.4% (64/70) and 83.1% (330/397), respectively, the proportion of│Z│≤2 within laboratories was 92.9% (65/70) and 87.7% (348/397), respectively. There was no difference in the composition of│Z│ scores between and within provincial, municipal, and county-level laboratories( P < 0.05). The proportion of two concentration quality control blind sample results in the province that were both within the uncertainty range was 89.2% (421/472). From 2017 to 2021, they were 81.3% (61/75), 91.9% (91/99), 84.7% (83/98), 92.0% (92/100), and 94.0% (94/100), respectively, with statistically significant differences (χ 2 = 9.69, P = 0.021); provinces, cities, and counties were 5/5, 95.7% (67/70), and 87.9% (349/397), respectively, with statistically significant differences (χ 2 = 23.60, P = 0.023). Conclusions:Through continuous external quality control assessments of all established urinary iodine laboratories in Gansu Province, the overall testing capacity of urinary iodine laboratories at all levels has been continuously improved. However, in the future, it is still necessary to strengthen laboratory testing capabilities and improve the level of urine iodine detection.