Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

ObjectiveTo explore the correlation between the polymorphisms of the solute carrier family7 member11 （SLC7A11） gene and the risk of non-cardia gastric cancer （NCGC） as well as the infection of Helicobacter pylori （H.pylori）. MethodsA total of 435 patients with NCGC and 479 healthy individuals undergoing physical examinations were included. The polymorphisms of the SLC7A11 gene （rs7674870， rs11734488， rs12506138， rs10022036） were genotyped using the polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） technique. The influence of each locus on H. pylori infection and the occurrence of NCGC was analyzed. ResultsNo significant associations were found among SNP rs7674870， rs11734488， and rs12506138 and H. pylori infection （P>0.05）. The CT genotype and CC genotype of rs12506138， when in a codominant model， reduced the risk of developing NCGC compared to the TT genotype； the A-C-C and A-T-C haplotypes constructed by SLC7A11 rs7674870， rs11734488， rs12506138 were associated with a reduced risk of NCGC； the A-T-T and G-C-C haplotypes were associated with an increased risk of NCGC. ConclusionSLC7A11 rs7674870 and rs11734488 are not pivotal genetic loci for H. pylori infection and the pathogenesis of NCGC. SLC7A11 rs12506138 acts as a protective genetic locus for NCGC and antagonizes its oncogenic progression. The haplotype composed of the above three loci participates in regulating the overall genetic susceptibility to NCGC.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective To analyze mosquito species composition and prevalence of pathogens carried by mosquitoes in Jiangsu Province from 2020 to 2024 and to provide a scientific basis for the prevention and control of mosquito-borne diseases. Methods Mosquitoes were collected using CO2-baited traps. The presence of mosquito-borne pathogens including dengue virus, Japanese encephalitis virus, yellow fever virus, West Nile virus, Chikungunya virus, and Sindbis virus was tested using commercial kits for fluorescence-based quantitative PCR. Results The most prevalent mosquito species found across different regions of Jiangsu Province were Culex pipiens pallens and Cx. tritaeniorhynchus, accounting for 81.35% to 93.01% of the total, followed by Armigeres subalbatus and Anopheles sinensis, which comprised 5.89% to 15.85% of the total. The densities of other monitored mosquito species were relatively low. Pathogen detection revealed that, only Cx. tritaeniorhynchus tested positive for Japanese encephalitis virus nucleic acid, whereas the remaining four mosquito species tested negative for the nucleic acids of all other six pathogens. The overall positivity rate of Japanese encephalitis virus (JEV) in Cx. tritaeniorhynchus showed an initially increasing trend followed by a decrease and a subsequent increase. The peak detection rate occurred in 2021 (11.93%), with a much lower positive rate of 0.80% in 2023. Genotyping result revealed that all JEV strains in Jiangsu Province belonged to the G1 genotype and were genetically closest to the strain Shangdong08DY.29 (MN072875.1). Conclusions The incidence of Japanese encephalitis virus carried by mosquito, especially Cx. tritaeniorhynchus, in Jiangsu Province shows an upward trend, requiring sustained surveillance. A variety of monitoring method should be adopted to survey mosquitoes across different habitats, ensuring the accuracy and comprehensiveness of the monitoring result.

Objective To investigate the species composition, distribution, density, and pathogen-carrying status of host-seeking ticks in urban environments of Jiangsu Province, and to provide a scientific basis for the prevention and control of tick-borne diseases in urban settings. Methods From April to September 2023, a survey on host-seeking ticks was conducted in three types of habitats (city parks, residential areas, and street greenbelts) across 54 counties (cities, districts) of 13 prefecture-level cities in Jiangsu Province by using the flagging method. RStudio 4.4.3 (Windows version) was employed to perform chi-square test analysis on the species composition of ticks across different months, and Friedman test (for multiple paired samples) was applied to analyze monthly changes in the average tick density index among different habitats. Quantitative real-time PCR was performed to detect pathogens in the captured ticks. Results A total of 863 host-seeking ticks were captured from 54 habitats in 24 counties (cities, districts) of 11 prefecture-level cities (Nanjing, Wuxi, Changzhou, Suzhou, Nantong, Huai'an, Yancheng, Yangzhou, Zhenjiang, Taizhou, and Suqian) in Jiangsu Province, whereas no ticks were captured in Xuzhou and Lianyungang. The collected ticks belonged to three species, with Haemaphysalis longicornis being the dominant species (accounting for 82.62%), followed by Haemaphysalis flava and Hae. phasiana. The average density index of ticks in positive habitats was 3.20 ticks/ (flag·100 m). In terms of tick density among prefecture-level cities, Wuxi had the highest density[13.55 ticks/(flag·100 m)], whereas Nanjing and Taizhou had the lowest[both,0.20 ticks/(flag·100 m)]. With respect to the types of positive habitats,46 positive city parks,7 positive residential areas, and 1 positive street greenbelt were found, with the average tick density index being 3.46, 1.86, and 3.60 ticks/flag · 100 m, respectively. No statistically significant differences were observed in the monthly variations in the average tick density index among different habitats (P＞0.05). Pathogen detection showed no Bandavirus dabieense, Rickettsia, or Borrelia burgdorferi in the collected ticks. Conclusions Host-seeking ticks have established populations in urban environments across most prefecture-level cities in Jiangsu Province, with Hae. longicornis identified as the dominant species. City parks serve as the primary breeding habitats for these ticks. Strengthening tick surveillance and control measures in densely populated and frequently visited areas, such as city parks and residential neighborhoods, is crucial for the effective prevention and control of urban tick-borne diseases.

ObjectiveTo study the mechanism of Huanglian Jiedutang （HLJDT） in treating mice with atherosclerosis （AS） by improving ferroptosis. MethodsA total of 10 SPF C57BL/6J mice were selected as a normal group， and 50 ApoE^-/- mice were randomly divided into five groups： model group， low-dose group of HLJDT， medium-dose group of HLJDT， high-dose group of HLJDT， and atorvastatin （ATV） group. ApoE^-/- mice were fed a high-fat diet for eight weeks to establish the AS model， and at the 9th week， they were given normal saline， low， medium， and high doses of HLJDT （3.9， 7.8， 15.6 g·kg^-1·d^-1）， and atorvastatin calcium tablets （0.01 g·kg^-1·d^-1）， respectively， for a total of eight weeks. The formation of aortic plaque in mice was observed by gross oil red O staining and Masson staining. The levels of total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， triglyceride （TG）， and high-density lipoprotein cholesterol （HDL-C） in blood fat were measured by the automatic biochemical analyzer， and the mitochondrial structure of the aorta was observed by transmission electron microscopy. The content of serum superoxide dismutase （SOD） in serum was detected by enzyme-linked immunosorbent assay （ELISA）. The content of reduced glutathione （GSH） in serum was detected by the microplate method， and that of malondialdehyde （MDA） in serum was detected by the TBA method. The protein expression of nuclear factor E₂-associated factor 2 （Nrf2）/glutathione peroxidase 4 （GPX4） signaling pathway was detected by Western blot. ResultsCompared with those of the normal group， the contents of TC， LDL-C， TG， HDL-C， and MDA in the serum and the aortic vascular plaque deposition of the model group were significantly increased （P<0.01）， while the expression levels of SOD and GSH in serum， as well as Nrf2， solute carrier family 7 member 11 （SLC7A11）， and GPX4 in aorta were significantly decreased （P<0.01）. Mice in the model group appeared mitochondrial fragmentation and vacuolation in the aorta， volume atrophy， mitochondrial crista reduction， or a loose and disorganized form. Compared with those in the model group， the aortic vascular plaque deposition was significantly decreased in the low-dose， medium-dose， and high-dose groups of HLJDT and ATV group， and the contents of serum TC， LDL-C， TG， and MDA in serum were significantly decreased （P<0.05， P<0.01）. The contents of serum SOD and GSH and the expression levels of Nrf2， SLC7A11， and GPX4 in the aorta were increased （P<0.05， P<0.01）， and the symptoms of aortic mitochondrial vacuolation were alleviated. The number of cristae was increased， and they were ordered neatly. ConclusionHLJDT can reduce aortic vascular plaque deposition， decrease blood lipid and MDA expression， increase SOD and GSH expression， and ameliorate the pathological changes of ferroptosis， the mechanism of which is related to the Nrf2/GPX4 signaling pathway.

ObjectiveTo observe the effects of Qingxin Jieyu granules （QXJYG） on FeCl₃-induced carotid artery thrombosis in rats and on the expression of thrombosis-related proteins tissue factor （TF） and tissue factor pathway inhibitor （TFPI） as well as the protein kinase B （Akt）/nuclear factor-κB （NF-κB） signaling pathway in EA.hy926 cells exposed to tumor necrosis factor-α （TNF-α）， thus preliminarily exploring the mechanism of QXJYG in inhibiting thrombosis. MethodsThirty-six SD rats were randomized into normal control， model， positive control （aspirin， 9 mg·kg^-1）， and low-， medium-， and high-dose （0.99， 1.98， 3.96 g·kg^-1， respectively） QXJYG groups （n=6）. The rats in the drug treatment groups were administrated with corresponding drugs， and those in the normal control group and model group were given an equal volume of distilled water. After 14 consecutive days of prophylactic gavage， the rat model of common carotid artery thrombosis was established with 45% FeCl₃ solution， and the blood vessels were collected and the wet weight of thrombus was weighed by an electronic balance （precision of 1/10 000）. The thrombosis in the common carotid artery of each group of rats was observed by hematoxylin-eosin staining. The plasma levels of von Willebrand factor （vWF）， platelet endothelial cell adhesion molecule-1 （PECAM-1）， tissue-type plasminogen activator （t-PA）， and plasminogen activator inhibitor-1 （PAI-1） were determined by enzyme-linked immunosorbent assay. An endothelial cell injury model was established by treating EA.hy926 human umbilical vein endothelial cells with TNF-α. The cell counting kit-8 method was used to screen the intervention concentrations of QXJYG. Western blot was employed to determine the protein levels of TF， TFPI， Akt， p-Akt， NF-κB p65， and p-NF-κB p65 in each group of cells. ResultsThe animal experiment showed that compared with the normal control group， the model group showed an increase in carotid artery thrombus weight （P<0.05）， with unclear vascular structure and extensive thrombosis in the lumen. In addition， the plasma levels of vWF， PECAM-1， and PAI-1 were elevated， while the t-PA level became lowered （P<0.05） in the model group. Compared with the model group， the aspirin and QXJYG groups showed reductions in the weight of FeCl₃-induced carotid artery thrombi （P<0.05） and thrombosis in the lumen， declines in plasma levels of PECAM-1 and PAI-1， and an elevation in the t-PA level （P<0.05）. Moreover， the QXJYG groups showed reductions in the plasma level of vWF （P<0.05）， which， however， had no significant difference between the aspirin group and the model group. The cell experiments indicated that 31.25， 62.5， 125， 250， 500 mg·L^-1 QXJYG had no effect on the viability of EA.hy926 cells. Therefore， 250， 500 mg·L^-1 QXJYG were selected as the intervention concentrations for subsequent experiments. Western blotting results showed that compared with the control group， the TNF-α stimulation downregulated the expression of TFPI （P<0.05）， upregulated the expression of TF， and increased the ratios of p-Akt/Akt and p-NF-κB p65/NF-κB p65 （P<0.05） in EA.hy926 cells. Compared with the model group， the intervention with QXJYG upregulated the expression of TFPI （P<0.05）， inhibited the expression of TF， and decreased the ratios of p-Akt/Akt and p-NF-κB p65/NF-κB p65 （P<0.05）. ConclusionQXJYG has the effect of inhibiting thrombosis and regulating the expression of TF and TFPI in endothelial cells exposed to TNF-α by suppressing the abnormal activation of the Akt/NF-κB signaling pathway.

To summarize the nursing experience of a patient with T-cell precursor acute lymphoblastic leukemia complicated with excessive dynamic airway collapse.Key nursing points include:efficient treatment of airway collapse to avoid causes of airway hyper responsiveness;avoiding the blockage of phlegm suppository,ensuring a safe and smooth airway;preventing the risks of hemorrhage and thrombosis,and strictly implement hospital infection prevention and control measures.After active rescue and careful nursing care,the patient was transferred back to the general thoracic surgery ward 13 days later,improved 17 days later,and was admitted to the cancer hospital for continued treatment.

Objective To investigate the effect of blood glucose control parameters on the prognosis of severe pneumonia patients based on continuous glucose monitoring(CGM)system.Methods A retrospective analysis was conducted on 51 severe pneumonia patients monitored by CGM at the Fourth Affiliated Hospital of Soochow University from November 2021 to August 2023.Assessed parameters included baseline clinical characteristics,glycosylated hemoglobin(HbA1c),mean glucose,standard deviation(SD),coefficient of variability(CV),mean amplitude of glycemic excursions(MAGE),maximum glucose level,minimum glucose level,and time in range(TIR)of glucose within the target range(3.9-10.0 mmol/L)as a proportion and levels of inflammatory indicators before and after treatment.Based on the 28-day follow-up results,the patients were divided into the survival group(39 cases)and the death group(12 cases).The blood glucose parameters of the two groups were compared.Multivariate Logistic regression model was used to analyze the influence of blood glucose parameters and infection indexes on the prognosis of patients with severe pneumonia.The efficacy of blood glucose parameters in the diagnosis of 28-day mortality was further evaluated by receiver operator characteristic curve(ROC curve).Results The acute physiology and chronic health evaluationⅡ(APACHEⅡ),SD and CV of blood glucose in death group were higher than those in survival group[APACHEⅡscore:20.5(14.0)vs.15.0(7.0),SD(mmol/L):2.6±0.7 vs.2.1±0.5,CV:(27.7±5.8)%vs.(23.7±4.3)%].However,the TIR(3.9-10.0 mmol/L)proportion was statistically lower than that of survival group[59.0%(17.0%)vs.68.0%(35.0%)],the differences were all statistically significant(all P<0.05).After using CGM,the white blood cell count(WBC)and hypersensitive C-reactive protein(hs-CRP)were significantly decreased[WBC(×109/L):9.2(6.5)vs.11.1(9.2),hs-CRP(mg/L):39.4(59.0)vs.56.2(133.8),both P<0.05].Multivariate Logistic regression showed that TIR(3.9-10.0 mmol/L)proportion was an independent risk factor for 28-day mortality in patients with severe pneumonia[odds ratio(OR)=0.923,95%confidence interval(95%CI)was 0.852-0.999,P=0.046].The ROC curve showed that TIR proportion was valuable in predicting the clinical outcomes of patients with severe pneumonia.Area under the curve(AUC)=0.720,95%CI was 0.563-0.878,P=0.022;when the cut-off value was 63.5%,the sensitivity and the specificity were 59.0%and 83.3%respectively.Conclusion Increase of TIR(3.9-10.0 mmol/L)proportion in patients with severe pneumonia could improve clinical outcomes,especially when TIR proportion≥63.5%.