ObjectiveTo investigate the clinical characteristics and risk factors of Mycoplasma pneumoniae pneumonia （MPP） in children based on a dual classification integrating imaging features and clinical severity. MethodsMedical records of 2 054 pediatric patients with MPP were retrospectively analyzed. The cohort was stratified into severe consolidation （n=253）， severe non-consolidation （n=118）， non-severe consolidation （n=393）， and non-severe non-consolidation groups （n=1 290） based on clinical and radiological findings. Inter group data and characteristics were compared and multiple regression analysis was conducted to construct a prediction model for severe consolidation group. ResultsSignificant differences were observed among the groups in terms of age， duration of fever， length of hospital stay， presence of pulmonary rales， inflammatory markers ［C-reactive protein （CRP） and lactate dehydrogenase （LDH）］， the use of hormones， and bronchoscopic treatment （all P < 0.05）. Compared with the severe non-consolidation group， non-severe consolidation group， and non-severe non-consolidation group， children in severe consolidation group exhibited the longest duration of fever ［8 （6， 11） days vs 6 （2， 9）， 7 （6， 9） and 6 （3， 8） days， respectively］ and the longest length of hospital stay ［7 （5， 8） days vs 6 （5， 8）， 6 （5， 8） and 6 （4， 7） days， respectively］. They also had the highest incidence of reduced breath sounds ［34 cases （13.4%） vs 2 cases （1.7%）， 29 cases （7.4%） and 13 cases （1.0%）， respectively］ and a substantially higher rate of coinfections， particularly viral infections ［63 cases （24.9%） vs 23 cases （19.5%）， 60 cases （15.3%） and 190 cases （14.7%）， respectively］. Multivariate analysis indicated that the independent risk factors for severe MPP （SMPP） were age > 4.5 years， length of hospital stay > 6.5 days， reduced breath sounds， neutrophil-to-lymphocyte ratio （NLR） > 1.66， LDH > 370.5 U/L， CRP > 9.5 mg/L， and coinfection with viruses. Reduced breath sounds （OR = 5.58， 95% CI： 2.45 - 12.69） and coinfection with bacteria （OR = 3.11， 95% CI： 1.43 - 6.75） were identified as the most significant risk factors for pulmonary consolidation in non-severe MPP children. Additionally， reduced breath sounds， coinfection with viruses， LDH > 365.5 U/L， and CRP > 32.1 mg/L were risk factors for severe pneumonia in children with pulmonary consolidation. For non-consolidation MPP children， the presence of pulmonary dry rales （OR = 2.28， 95% CI： 1.46 - 3.56） was the primary independent risk factor for the development of severe pneumonia. ConclusionThe chest imaging findings of MPP are associated with clinical severity， and the risk factor model constructed based on this imaging-clinical classification can assist in achieving precise hierarchical diagnosis and treatment in clinical practice.

ObjectiveTo investigate the effects of Astragali Radix polysaccharides （APS） on the polarization of BV2 microglial cells in an oxygen-glucose deprivation/reoxygenation （OGD/R） model through regulation of the Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB） signaling pathway. MethodsThe OGD/R injury model of BV2 microglia was established and divided into blank group， OGD/R group and APS group （0.4 g·L^-1 APS）. Neuroinflammatory injury was induced by lipopolysaccharide （LPS） and treated with APS. The cells were divided into blank group， LPS group （1 mg·L^-1 LPS） and APS group （0.4 g·L^-1 APS+1 mg·L^-1 LPS）. Cell viability was detected using the cell counting kit-8 （CCK-8） assay. Cell morphology was observed under an inverted microscope. Nitric oxide （NO） content in the cell supernatant was determined by the Griess assay. The secretion levels of tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， IL-10， and IL-4 were measured by enzyme-linked immunosorbent assay （ELISA）. Immunofluorescence （IF） was used to detect the double-positive rates of ionized calcium-binding adapter molecule-1/inducible nitric oxide synthase （Iba-1⁺/iNOS⁺） and ionized calcium-binding adapter molecule-1/arginase 1 （Iba-1⁺/Arg1⁺）， as well as the nuclear translocation rate of nuclear factor-κB p65 （NF-κB p65）. Protein expression levels of Iba-1， iNOS， Arg1， TLR4， and NF-κB p65 were detected by Western blot. ResultsIn the OGD/R injury model， compared with the blank control group， BV2 microglial cells in the OGD/R group were activated and exhibited amoeboid morphological changes. The secretion levels of NO， TNF-α， and IL-6 were significantly increased （P<0.01）. The double-positive expression rate of Iba-1⁺/iNOS⁺ and the protein expression of Iba-1 and iNOS were significantly increased （P<0.01）. The nuclear translocation rate of NF-κB p65 and the protein expression levels of TLR4 and NF-κB p65 were significantly increased （P<0.01）. The levels of IL-10 and IL-4 were significantly decreased （P<0.01）， and the double-positive expression rate of Iba-1⁺/Arg1⁺ and Arg1 protein expression were significantly decreased （P<0.01）. Compared with the OGD/R group， the APS group （0.4 g·L^-1） showed reduced cell activation， significantly decreased secretion levels of NO， TNF-α， and IL-6 （P<0.01）， significantly decreased double-positive expression rate of Iba-1⁺/iNOS⁺ and relative protein expression of Iba-1 and iNOS （P<0.01）， significantly decreased nuclear translocation rate of NF-κB p65 and protein expression levels of TLR4 and NF-κB p65 （P<0.01）， significantly increased levels of IL-10 and IL-4 （P<0.01）， and significantly increased double-positive expression rate of Iba-1⁺/Arg1⁺ and Arg1 protein expression （P<0.01）. In the LPS-induced neuroinflammation model， compared with the blank control group， the LPS group showed increased cell activation， significantly increased levels of NO， TNF-α， and IL-6， significantly increased Iba-1⁺/iNOS⁺ double-positive expression rate， NF-κB p65 nuclear translocation rate， and protein expression levels of Iba-1， iNOS， TLR4， and NF-κB p65 （P<0.01）， while IL-10 and IL-4 levels， Iba-1⁺/Arg1⁺ double-positive expression rate， and Arg1 protein expression were significantly decreased （P<0.01）. Compared with the LPS group， the APS group showed reduced cell activation， significantly decreased levels of NO， TNF-α， and IL-6， Iba-1⁺/iNOS⁺ double-positive expression rate， NF-κB p65 nuclear translocation rate， and protein expression levels of Iba-1， iNOS， TLR4， and NF-κB p65 （P<0.01）， while IL-10 and IL-4 levels， Iba-1⁺/Arg1⁺ double-positive expression rate， and Arg1 protein expression were significantly increased （P<0.01）. ConclusionAPS may reduce microglial activation and promote their polarization toward the M2 phenotype by inhibiting activation of the TLR4/NF-κB signaling pathway， thereby alleviating the neuroinflammatory response induced by OGD/R.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective: To observe the distribution characteristics of sex differences in physical growth among children and adolescents aged 6-15 years in Taiwan, China from 2007 to 2024, so as to provide clues for improving growth assessment standards and promoting the health of children and adolescents. Methods: Using publicly available height and weight data for children and adolescents aged 6-15 years in Taiwan, China from 2007 to 2024 released by the statistics agency of the Taiwan education authorities, sex difference indices were analyzed. Growth curve charts and Pearson correlation were used to analyze the correlation between height/weight and year, as well as trends of change with age and year. These were compared with data from the 8th National Survey on Students Constitution and Health in 2019, covering Han and ethnic minority groups aged 6-15 years in mainland China. Results: The sex difference index for height among children and adolescents in Taiwan, China ranged from -1.20% to 6.67%, showed a trend of decreasing first and then increasing with age. The sex difference index for weight ranged from 3.76% to 19.15%, exhibited an age related trend of a slight initial increase, followed by a decrease, and then an increase. The sex difference indices for height in the 12-15 age groups and for weight in the 15-year-old group were positively correlated with the year ( r =0.74, 0.66, 0.61, 0.92 ; 0.63), while the sex difference indices for weight in the 6-8 age groups were negatively correlated with the year ( r =-0.71, -0.77, -0.53) (all P <0.05). In 2024, the height of children and adolescents in Taiwan, China increased gradually with age, but the growth rate for girls slowed down after age 12. A "two crossover" was observed in height between boys and girls, with boys being taller than girls in the 6-9 age range and after age 12. Weight for both sexes gradually increases with age, but boys have greater weight than girls at all ages. In 2019, the sexual differences in body size among children and adolescents in the Taiwan region, China (the sex difference indices for height:-0.96% to 6.49%；the sex difference indices for weight:4.69%-17.89%) fell within the variation ranges of counterparts in mainland China (the sex difference indices for height:-5.43% to 7.69%；the sex difference indices for weight:-10.12% to 21.56%). Conclusion The sex differences in physical growth among children and adolescents in Taiwan, China are dynamically changing with age and over the long term.

ObjectiveTo investigate the effect of repetitive peripheral magnetic stimulation (rPMS) combined with upper limb intelligent robotic training on muscle tension, motor function and cortical excitability in children with unilateral spastic cerebral palsy (USCP). MethodsFrom March, 2023 to December, 2024, 90 children with USCP admitted to Children's Hospital of Soochow University were selected and randomly divided into control group (n = 30), rPMS group (n = 30) and combined group (n = 30). The control group received conventional occupational therapy. The rPMS group received rPMS intervention followed by conventional occupational therapy. The combined group received rPMS followed by upper limb intelligent robot training, for four weeks. Before and after treatment, muscle tension of biceps brachii was assessed using the modified Ashworth Scale (MAS); upper limb motor function was evaluated using the Fugl-Meyer Assessment-Upper Extremity (FMA-UE) and upper limb intelligent parameters; and cortical excitability was measured using transcranial magnetic stimulation (TMS), including resting motor threshold (RMT) and motor-evoked potential (MEP) amplitude of the affected hemisphere. ResultsAfter treatment, MAS grades improved in all groups (|Z| > 3.523, P < 0.001), and the improvement in the combined group was superior to that in the control group (P < 0.05). Significant intra-group (F > 65.21, P < 0.001), inter-group (F > 17.94, P < 0.001) and interaction effects (F > 5.36, P < 0.01) were observed in FMA-UE scores, upper limb intelligent parameters and TMS parameters. Post Hoc analysis showed that the combined group demonstrated significantly greater improvements in FMA-UE scores, upper limb intelligent parameters, and TMS parameters compared with both the control and rPMS groups (all P < 0.01). Except for FMA-UE scores, the rPMS group showed significantly greater improvements than the control group in upper limb intelligent parameters (mechanical feedback, trajectory, and range of motion) and TMS parameters (RMT and MEP amplitude) (P < 0.05). ConclusionrPMS combined with upper limb intelligent robotic training can reduce upper limb muscle tension, improve motor function, and enhance cortical excitability in children with USCP.

ObjectiveTo study the pharmacological substances and mechanisms through which sesquiterpene ZH-13 from Aquilariae Lignum Resinatum improves neuroinflammation. MethodsBV-2 microglial cells were stimulated with lipopolysaccharide （LPS） to induce neuroinflammation. The cells were divided into the normal group， the model group， and the ZH-13 low- and high-dose treatment groups （10， 20 μmol·L^-1）. The model group was treated with 1 μmol·L^-1 LPS. Cell viability was assessed using the cell proliferation and activity assay （CCK-8 kit）. Nitric oxide （NO） release in the cell supernatant was measured using a nitric oxide kit （Griess method）. The mRNA expression levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and interleukin-6 （IL-6） were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The phosphorylation of mitogen-activated protein kinase （MAPK） pathway proteins was assessed by Western blot. ResultsCompared with the model group， ZH-13 dose-dependently reduced NO release from BV-2 cells under LPS stimulation （P<0.05， P<0.01）. In the 20 μmol·L^-1 ZH-13 treatment group， the mRNA expression levels of IL-1β， TNF-α， iNOS， and IL-6 were significantly reduced compared to the model group （P<0.05， P<0.01）. In both the low- and high-dose ZH-13 groups， the expression of the inflammatory factor TNF-α and the phosphorylation of c-Jun N-terminal kinase （JNK） in the upstream MAPK pathway were significantly reduced （P<0.05）. After stimulation with the JNK agonist anisomycin （Ani）， both low- and high-dose ZH-13 treatment groups showed reduced phosphorylation of JNK proteins compared to the Ani-treated group （P<0.01）. ConclusionThe sesquiterpene compound ZH-13 from Aquilariae Lignum Resinatum significantly ameliorates LPS-induced neuroinflammatory responses in BV-2 cells by inhibiting excessive JNK phosphorylation and reducing TNF-α expression. These findings elucidate the pharmacological substances and mechanisms underlying the sedative and calming effects of Aquilariae Lignum Resinatum.

Based on the target recognition ability of split aptamer and intelligent analytical capability of molecular logic gate,in this work,two split aptamers were integrated into"AND"logic gate to construct a novel ortho-nucleic acid fluorescence sensor for simultaneous detection of thrombin and myoglobin.When there was one target,the response of the signal was only a single fluorescence output signal,which was used as an evaluation standard for early low-risk judgment.When two targets coexisted,the split aptamer bound to the target to form a ternary complex and led to the head and tail ortho-nucleic acid effect respectively,and triggered the G4 chain to enhance the fluorescence signal of thioflavin T and the fluorescence signal quenching of Cyanine 3,which could be used as an evaluation criterion for early high-risk judgement.Under the optimal conditions,the linear range for detection of thrombin was 3-200 nmol/L,with a correlation coefficient of 0.9931 and a detection limit of 0.97 nmol/L,and the linear range for detection of myoglobin was 6-400 nmol/L,with a correlation coefficient of 0.9933,and a detection limit of 2.14 nmol/L.The method was applied to simultaneous determination of thrombin and myoglobin in clinical serum samples,and the recoveries were 85.4%-118.3%and 85.8%-119.9%,respectively,with relative standard deviations of less than 6.5%.Compared with the standard method,the relative error range was from-8.8%to 5.6%.In addition,the logical diagnosis results of 4 serum samples were high-risk of acute myocardial infarction in 2 cases and low-risk in 2 cases.The ″AND″ logic gate ortho-nucleic acid fluorescence sensing method showed many advantages such as high selectivity,rapidity,accuracy and simultaneous detection,which offered important reference for early diagnosis of acute myocardial infarction,and also provided a general detection design strategy and platform for simultaneous detection of biomarkers.

Lentiviral vectors(LVs)are key gene delivery tools for integrating target genes into the host genome,but they may also pose risks of insertional mutagenesis.The vector copy number(VCN)in cells is critical for determining the safety of gene modification.However,the reliability and accuracy of its quantification process are influenced by multiple factors.Developing cell reference materials with specific vector copy numbers represents a viable approach to enhance the reliability and consistency of measurement results,enabling quality control of the quantification process and traceability of outcomes.However,the preparation of such reference materials faces challenges in cell sample design,preparation protocols,and advanced quantification techniques.In this study,T lymphocyte cell line Jurkat-based reference materials with LV gene copy numbers of 1 and 2 copy/cell were developed.A high-precision duplex digital polymerase chain reaction(dPCR)method was established to quantify the LV gene and endogenous genes simultaneously.Additionally,the results of dPCR were cross-validated through next-generation sequencing and flow cytometric analysis.Ultimately,confocal microscopy characterization results showed that the developed cell reference materials had intact morphology.The quantification result of VCN-1 was(1.07±0.11)copy/cell,and that of VCN-2 was(2.09±0.21)copy/cell.These cell reference materials demonstrated compliance with stability and homogeneity requirements,and could be applied for quality control throughout the VCN measurement workflow and metrological traceability,improving the accuracy,comparability,and validity of copy number measurements.

In recent years, research on the quality and safety detection of bear bile powder has mainly involved three aspects. First, the identification of active components and substitutes. Quantitative analysis of bile acids and other components is performed using HPLC, HPLC-tandem mass spectrometry, and other techniques, combined with near-infrared spectroscopy, X-ray diffraction, and polymerase chain reaction to identify adulteration. Isotope fingerprint analysis and glycosylation modification detection are used to distinguish natural products from biosynthetic substitutes, revealing significant differences in δ13C values and the proportion of specific glycosylation modifications between natural bear bile powder and synthetic products. Second, the detection of veterinary drug residues, mainly based on ultra-high performance liquid chromatography-tandem mass spectrometry, which can screen over 100 types of residues, but targeted purification strategies are needed to address interference from the bile acid matrix. Thirdly, heavy metal detection, mainly using inductively coupled plasma mass spectrometry and atomic absorption spectrometry, has revealed that contamination is associated with the breeding environment, with significant regional differences. Related detection technologies are gradually evolving from single-target analysis to multi-modal and intelligent approaches. Existing research faces issues, such as matrix effect interference, lack of international standards, and ethical controversies. It is suggested that future efforts should focus on the interdisciplinary application of detection technologies, develop rapid detection methods such as non-invasive monitoring and microfluidic chips, promote the standardization and equivalence evaluation of synthetic alternatives, and establish a full-chain quality control system integrating spatially resolved mass spectrometry imaging, artificial intelligence, and big data.