Objective:To explore the efficacy and safety of sivelestat sodium in patients with acute respiratory distress syndrome (ARDS) in the intensive care unit (ICU).Methods:Sixty patients with ARDS admitted to the ICU of the Fuyang Hospital Affiliated to Anhui Medical University from August 1, 2023 to November 1, 2024 were selected and divided into the control group (conventional treatment, 30 cases) and the sivelestat sodium group (treated with sivelestat sodium in addition to conventional treatment, 30 cases) by the random number table method. The clinical data such as inflammatory factors, blood gas analysis indicators, Acute Physiology and Chronic Health Evaluation (APACHE) Ⅱ score and Sequential Organ Failure Assessment (SOFA) score of the two groups of patients before treatment and 3 days after treatment were compared. The prognostic indicators such as mechanical ventilation time, ICU stay time, total hospital stay time, 28-day mortality rate and clinical efficacy of the two groups of patients were compared.Results:Before treatment, there were no statistically significant differences in inflammatory factors, blood gas analysis indicators, APACHE Ⅱ score and SOFA score between the two groups of patients (all P>0.05). After 3 days of treatment, the improvement degrees of APACHE Ⅱ score, SOFA score, arterial partial pressure of oxygen (PaO 2), oxygenation index (PaO 2/FiO 2), procalcitonin (PCT), interleukin-6 (IL-6), and C-reactive protein (CRP) in the sivelestat sodium group were all greater than those in the control group. The differences were all statistically significant (all P<0.05); The mechanical ventilation time [(5.31±4.12) d vs (7.17±2.32)d] and ICU stay [(6.31±3.42)d vs (8.93±5.26)d] of patients in the sivelestat sodium group were significantly shorter than those in the control group, and the differences were statistically significant (all P<0.05). There was no statistically significant difference in the 28-day mortality rate between the sivelestat sodium group [20.00%(6/30)] and the control group [43.33%(13/30)] ( P>0.05). The total effective rate of treatment in the sivelestat sodium group was significantly higher than that in the control group [80.00%(24/30) vs 56.67%(17/30)], and the difference was statistically significant (χ 2=4.167, P=0.041). Conclusions:Sivelestat sodium is helpful in improving the physiological parameters of patients with ARDS, effectively reducing the levels of inflammatory factors in the body, shortening the duration of mechanical ventilation and ICU stay, but has no significant effect on the 28-day mortality rate.

Objective To investigate alterations in plasma complement levels and white matter imaging characteristics,along with their relationship in patients with first-episode schizophrenia(SCZ).Methods Thirty-eight patients with first-episode schizophrenia and 42 healthy controls were enrolled.Whole-brain diffusion tensor imaging(DTI)was performed using a Philips 3.0 T MRI scanner.Tract-based spatial statistics(TBSS)combined with the Johns Hopkins University(JHU)white matter labels atlas was used to extract and compare white matter characteristics between the two groups.Plasma levels of complement components(C1q,C3,C4,factor B,factor H,and factor P)were measured using the MILLIPLEX? human complement assay kit via multiplex analysis.Spearman correlation analysis was conducted to examine the association between plasma complement levels and white matter features.Results The radial diffusivity(RD)of the left fornix/stria terminalis was significantly higher in the patient group compared to the control group[(0.62±0.04)×10-3mm2/s vs.(0.60±0.03)×10-3mm2/s,PFDR=0.048)].Factor H[677.71(551.58,846.21)ng/mL vs.582.76(513.93,729.71)ng/mL,P=0.041]and factor P[71.36(57.30,95.99)ng/mL vs.60.08(46.67,80.03)ng/mL,P=0.011]were both significantly elevated compared to the control group.Moreover,RD values in the left fornix/stria terminalis were negatively correlated with plasma C3 levels in the patient group(r=-0.362,P=0.025).Conclusion Patients with first-episode schizophrenia exhibit white matter microstructural abnormalities in left fornix/stria terminalis,which are significantly associated with plasma complement levels.

Objective:To explore the efficacy and safety of sivelestat sodium in patients with acute respiratory distress syndrome (ARDS) in the intensive care unit (ICU).Methods:Sixty patients with ARDS admitted to the ICU of the Fuyang Hospital Affiliated to Anhui Medical University from August 1, 2023 to November 1, 2024 were selected and divided into the control group (conventional treatment, 30 cases) and the sivelestat sodium group (treated with sivelestat sodium in addition to conventional treatment, 30 cases) by the random number table method. The clinical data such as inflammatory factors, blood gas analysis indicators, Acute Physiology and Chronic Health Evaluation (APACHE) Ⅱ score and Sequential Organ Failure Assessment (SOFA) score of the two groups of patients before treatment and 3 days after treatment were compared. The prognostic indicators such as mechanical ventilation time, ICU stay time, total hospital stay time, 28-day mortality rate and clinical efficacy of the two groups of patients were compared.Results:Before treatment, there were no statistically significant differences in inflammatory factors, blood gas analysis indicators, APACHE Ⅱ score and SOFA score between the two groups of patients (all P>0.05). After 3 days of treatment, the improvement degrees of APACHE Ⅱ score, SOFA score, arterial partial pressure of oxygen (PaO 2), oxygenation index (PaO 2/FiO 2), procalcitonin (PCT), interleukin-6 (IL-6), and C-reactive protein (CRP) in the sivelestat sodium group were all greater than those in the control group. The differences were all statistically significant (all P<0.05); The mechanical ventilation time [(5.31±4.12) d vs (7.17±2.32)d] and ICU stay [(6.31±3.42)d vs (8.93±5.26)d] of patients in the sivelestat sodium group were significantly shorter than those in the control group, and the differences were statistically significant (all P<0.05). There was no statistically significant difference in the 28-day mortality rate between the sivelestat sodium group [20.00%(6/30)] and the control group [43.33%(13/30)] ( P>0.05). The total effective rate of treatment in the sivelestat sodium group was significantly higher than that in the control group [80.00%(24/30) vs 56.67%(17/30)], and the difference was statistically significant (χ 2=4.167, P=0.041). Conclusions:Sivelestat sodium is helpful in improving the physiological parameters of patients with ARDS, effectively reducing the levels of inflammatory factors in the body, shortening the duration of mechanical ventilation and ICU stay, but has no significant effect on the 28-day mortality rate.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

[Purpose]To analyze the trends of incidence and age at onset of leukemia in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of leukemia from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province.All datasets were checked and evaluated based on data quality control criteria and were included in the analysis.Crude incidence rate(CIR),age-standardized incidence rate by Chinese standard population(ASIRC),the average annual percentage change(AAPC),the standardized average age at onset,the changes in the age structure of incidence and the changes in the birth cohort by year were calculated.[Results]The incidence rate of leukemia significantly increased from 5.22/105 in 2009 to 7.88/105 in 2019,with a significant upward trend(for CIR,AAPC=4.95％,95％CI:3.82％～6.09％;for ASIRC,AAPC=2.97％,95％CI:1.52％～4.43％).The incidence rates were in-creased in all age groups and increased with the birth cohort by years.There was a tendency of backward shift for the age composition of the population,with the increasing of composition for those over 60 years old.The mean age at onset increased from 48.62 years old in 2009 to 57.96 years old in 2019,with a backward shift in the mean age(β=0.773,P＜0.001),and the mean age at onset increased with the year only in rural areas after standardization(β=0.428,P=0.017).[Conclusion]Leukemia incidence rate in Jiangsu Province increased from 2009 to 2019,and the age at onset has shifted backwards.It's important to strengthen the early prevention and control of leukemia.

[Purpose]To analyze the trends of incidence and age at onset of bone malignant tumors in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]Incidence data of bone malignant tumors from 2009 to 2019 were collected from 16 consecutive and quality-con-trolled cancer registries in Jiangsu Province.The incidence rates,average age at onset,and inci-dence composition of bone malignant tumors were calculated.A birth cohort model was constructed to analyze the changes in the incidence of bone malignant tumors in the population born from 1929 to 2019.Joinpoint regression models were used to analyze the average annual percentage change(AAPC)in the incidence rates and the incidence composition of bone malignant tumors for each year in those aged 60 years old and above.A general linear regression model was used to ana-lyze the trend of the average age of onset.[Results]The crude incidence rate of bone malignant tumors in women in Jiangsu cancer registration areas decreased from 2009 to 2019,with an AAPC of-2.62％(P=0.025).After adjusting the population composition,except for urban areas,the incidence of bone malignant tumors in the whole province,men,women and rural areas all decreased significantly,with AAPC of-3.15％,-2.49％,-4.31％and-2.23％,respectively.The average age at onset of bone malignant tumors in the whole province,men and urban areas de-creased significantly yearly,with an average annual decrease of 0.365,0.504 and 0.469 years old,respectively.In the same period,the incidence of malignant bone tumors in the whole province,men,women and urban areas of age groups of 50～59,60～69 and 70～79 years old showed a decreasing trend,the AAPC ranged from-9.06％to-4.14％(all P＜0.05),and the inci-dence decreased gradually with the year of birth.The incidence of malignant bone tumors in men＜30 years old increased yearly with an AAPC of 4.30％(P＜0.05).Compared with 2009,the com-position of incidence in men aged 15～39 years old and in urban population increased in 2019,while the incidence of bone malignant tumors in the age group of 60～79 years old in the province generally decreased.After age structure adjustment,the incidence of bone malignant tumors in people over 60 years old in urban areas decreased with an AAPC of-1.42％(P＜0.05).[Conclu-sion]The incidence of bone malignant tumors in Jiangsu Province is decreasing and the age at on-set is moving forward,indicating that the prevention and control measures of bone malignant tu-mors should be adjusted accordingly.

BACKGROUND:In recent years,with the deepening of cell death research,necroptosis has gradually become a hot and difficult topic in academic research.Its various signaling pathways and proteins play an important role in the occurrence and development of periodontitis. People try to delay the process of periodontal tissue inflammation by preventing the occurrence of necroptosis. OBJECTIVE:To provide a review on the molecular mechanism of necroptosis and its correlation with periodontitis in the hope of providing new ideas and directions for the prevention,diagnosis,treatment and evaluation of periodontitis. METHODS:The first author searched PubMed,CNKI,and other databases in October 2023 for relevant literature published up to April 2024 with the search terms of "necroptosis,programmed cell death,periodontitis,periodontal,immunity,inflammation,receptor interacting protein kinase 1,receptor interacting protein kinase 3,mixed lineage kinase domain-like" in Chinese and "necroptosis,programmed cell death,periodontitis,periodontal,immunity,inflammation,RIP1,RIP3,MLKL" in English,respectively. The titles and abstracts of each document were read for preliminary screening,and 56 documents were finally selected for generalization and analysis. RESULTS AND CONCLUSION:(1) The main pathogenesis of periodontitis is that periodontal pathogenic bacteria stimulate the organism,leading to changes in the periodontal microenvironment,breaking the original immune balance and releasing a variety of inflammatory factors,triggering an inflammatory response resulting in destruction of periodontal tissues. Necroptosis can modulate the immuno-inflammation in periodontal tissues,thus affecting the development of periodontitis. (2) The occurrence of necroptosis is related to a variety of proteins,signaling pathways,and signaling molecules. Animal experiments have confirmed that the expression of phosphorylated mixed lineage kinase domain-like protein (pMLKL) is related to the degree of inflammation,and RIP3 and pMLKL are highly expressed in the periodontal tissues of mice suffering from periodontitis. Blocking the RIP3/MLKL pathway is conducive to the reduction of inflammation in periodontal tissues and the control of periodontitis progression. (3) To explore whether pMLKL can be used as a diagnostic indicator of periodontitis is of great value in the prevention,diagnosis and treatment of periodontitis.

[Purpose]To analyze the trends of incidence and age at onset of leukemia in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of leukemia from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province.All datasets were checked and evaluated based on data quality control criteria and were included in the analysis.Crude incidence rate(CIR),age-standardized incidence rate by Chinese standard population(ASIRC),the average annual percentage change(AAPC),the standardized average age at onset,the changes in the age structure of incidence and the changes in the birth cohort by year were calculated.[Results]The incidence rate of leukemia significantly increased from 5.22/105 in 2009 to 7.88/105 in 2019,with a significant upward trend(for CIR,AAPC=4.95％,95％CI:3.82％～6.09％;for ASIRC,AAPC=2.97％,95％CI:1.52％～4.43％).The incidence rates were in-creased in all age groups and increased with the birth cohort by years.There was a tendency of backward shift for the age composition of the population,with the increasing of composition for those over 60 years old.The mean age at onset increased from 48.62 years old in 2009 to 57.96 years old in 2019,with a backward shift in the mean age(β=0.773,P＜0.001),and the mean age at onset increased with the year only in rural areas after standardization(β=0.428,P=0.017).[Conclusion]Leukemia incidence rate in Jiangsu Province increased from 2009 to 2019,and the age at onset has shifted backwards.It's important to strengthen the early prevention and control of leukemia.

Objective To investigate alterations in plasma complement levels and white matter imaging characteristics,along with their relationship in patients with first-episode schizophrenia(SCZ).Methods Thirty-eight patients with first-episode schizophrenia and 42 healthy controls were enrolled.Whole-brain diffusion tensor imaging(DTI)was performed using a Philips 3.0 T MRI scanner.Tract-based spatial statistics(TBSS)combined with the Johns Hopkins University(JHU)white matter labels atlas was used to extract and compare white matter characteristics between the two groups.Plasma levels of complement components(C1q,C3,C4,factor B,factor H,and factor P)were measured using the MILLIPLEX? human complement assay kit via multiplex analysis.Spearman correlation analysis was conducted to examine the association between plasma complement levels and white matter features.Results The radial diffusivity(RD)of the left fornix/stria terminalis was significantly higher in the patient group compared to the control group[(0.62±0.04)×10-3mm2/s vs.(0.60±0.03)×10-3mm2/s,PFDR=0.048)].Factor H[677.71(551.58,846.21)ng/mL vs.582.76(513.93,729.71)ng/mL,P=0.041]and factor P[71.36(57.30,95.99)ng/mL vs.60.08(46.67,80.03)ng/mL,P=0.011]were both significantly elevated compared to the control group.Moreover,RD values in the left fornix/stria terminalis were negatively correlated with plasma C3 levels in the patient group(r=-0.362,P=0.025).Conclusion Patients with first-episode schizophrenia exhibit white matter microstructural abnormalities in left fornix/stria terminalis,which are significantly associated with plasma complement levels.