ObjectiveTo explore the typical syndromes and their characteristic of symptoms and signs with high diagnostic value in patients with metabolic syndrome （MS）. MethodsTraditional Chinese medicine （TCM） diagnostic information was collected from 135 MS patients. Syndrome element differentiation and latent class analysis （LCA） were applied to identify the major TCM syndromes in MS patients. Symptoms were analyzed based on the differentiated syndromes， and a binary logistic regression model was constructed to determine symptoms and signs with high diagnostic value. ResultsA total of 135 MS patients were included， involving 163 symptoms and signs with a total frequency of 1749； twenty-three syndrome elements were extracted， 367 times frequency in total， among which 8 syndrome elements occurred ≥10 times with 323 frequencies （88.01% of the total）. These included location-related elements such as kidney （48 times）， spleen （14 times）， and stomach （14 times）， and nature-related elements such as phlegm （71 times）， yin deficiency （64 times）， dampness （57 times）， heat （42 times）， and qi deficiency （13 times）. Based on LCA， the 135 patients were categorized into two groups distinguished by the syndrome elements of dampness and phlegm， forming the "phlegm-dampness syndrome" as the major syndrome type. Nine high-frequency symptoms and signs associated with the phlegm-dampness syndrome were identified，i.e. obesity （39 times）， greasy coating （38 times）， slippery pulse （33 times）， white coating （31 times）， preference for fatty and heavy foods （30 times）， excessive urination （30 times）， fatigue and lack of strength （29 times）， wiry pulse （25 times）， and dark red tongue （25 times）. A binary logistic regression model was constructed combining these nine symptoms and signs with the LCA classification results， ultimately identifying obesity， greasy coating， fatigue and lack of strength， and white coating as independent factors associated with the phlegm-dampness syndrome in MS patients （P＜0.05）. ConclusionThe major TCM syndrome in MS patients is phlegm-dampness syndrome， and obesity， greasy coating， fatigue and lack of strength， and white coating are the typical symptoms and signs for diagnosing phlegm-dampness syndrome in MS patients.

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.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

AIM: To observe and analyze the effectiveness and safety of wearing corneal refractive therapy(CRT)and vision shaping treatment(VST)designed orthokeratology in controlling myopic progression in adolescents with low E-value corneal morphology.METHODS: This prospective study involved 100 cases(100 eyes)of adolescent myopia patients fitted with orthokeratology at our optometry clinic from January 2020 to December 2021. The data of right eye were collected for research, and they were divided into low myopia group(-1.00 to -3.00 D)and moderate myopia group(-3.25 to -5.00 D)according to spherical equivalent, with 50 cases in each group. Each group of patients was further randomly divided into the CRT group and the VST group, with 25 cases in each group. Uncorrected visual acuity, refractive error, axial length(AL), tear film break-up time(BUT), corneal endothelial cell density, corneal staining grading, lens decentration, and refractive power at 15°-30° were measured before and after wearing orthokeratology, with a follow-up duration of 1.5 a.RESULTS: The uncorrected visual acuity of CRT and VST subgroups in the low myopia group showed no statistical significance at any time point after wearing orthokeratology. However, in the moderate myopia group, CRT subgroup showed better uncorrected visual acuity than the VST subgroup, with significant differences at 1 d and 1 wk(t=-9.474, -12.067, both P<0.01); no significant differences were noted at other time points. After wearing lens for 6 mo and 1.5 a, the AL growth for the CRT subgroup in low and moderate myopia was less than the VST subgroup, with no statistically significant differences. There were no statistically significant differences in binocular BUT and corneal endothelial cell density after wearing lens for 6 mo and 1.5 a. Corneal injury was lower in the CRT subgroup than that in the VST subgroup, but the difference was not statistically significant(Z=-1.803, P=0.071). Lens decentration was significantly better in the CRT subgroup than in the VST subgroup(Z=-4.629, P<0.001). In the periphery of the retina at 15°-30°, there were no significant differences in the amount of myopic defocus between the two groups, while it was statistically significant at 1, 3, and 6 mo in the moderate myopia subgroup(t=-3.949, P=0.008; t=-5.833, P<0.001; t=-6.231, P<0.001), indicating that CRT subgroup could produce a greater amount of myopic defocus.CONCLUSION: For patients with low E-value corneal morphology, CRT, using the vector height at 8 mm on the cornea for fitting, is not limited to the corneal E-value. It shapes faster and improves uncorrected visual acuity after shaping, especially for moderate myopia, achieving better daytime vision. In terms of controlling myopia, CRT fitting elevates return zone depth(RZD), creating a small central optical zone to produce more peripheral myopic defocus. However, there was no significant difference between the two groups in controlling AL growth. Both groups showed minimal corneal damage, indicating consistent safety in myopia control.

【Objective】 To develop the Visual Cognitive Ability Assessment Scale for Preschool Children and to evaluate its reliability and validity, in order to provide reference for clinical evaluation of visual cognitive ability of preschool children. 【Methods】 1) From November 2021 to February 2022, construct the dimension framework was constructed and the pool of scale items was compiled according to the theory. 2) In March to June 2022, items were screened preliminarily through group discussion and Delphi method. In August 2022, the entries was revised by a pre-survey in a small sample (n=50). 3) Parents of children aged 4 - 7 from 8 kindergartens in 4 main urban areas of Nanjing were investigated by stratified cluster random sampling method in September to December 2022. The valid sample of the first survey (n=344) was analyzed to conduct item analysis and re-test reliability analysis, the valid sample of the second survey (n=695) was tested for reliability and confirmatory factor analysis, then the scale was finally compiled and evaluated. 【Results】 1) The scale contained 19 items in 4 dimensions:visual memory, discerning vision, spatial vision and visual integration. All items passed the project analysis test. 2) The Cronbach′s α coefficient of each dimension ranged from 0.604 to 0.886, and the Cronbach′s α coefficient of the whole scale was 0.917. During the two surveys, the scores of each item were correlated, and the average retest reliability coefficient was 0.601 (P< 0.05). 3) Content validity index (S-CVI) at scale level was 0.91, and item level content validity index (I-CVI) ranged from 0.8 to 1.0. After several rounds of model modification, the confirmatory factor model fit well. 【Conclusion】 The reliability and validity of the Visual Cognitive Ability Assessment Scale for Preschool Children are acceptable and meet the requirements of the scale, which provides a practical tool for clinical screening of visual and cognitive disorders.

Objective: To analyze the impact of parental sports concept and behavior on physical activity in preschool children, so as to provide a foundation for future guidance on fostering childrens physical activity within the family context. Methods: From November to December 2020, a clustered convenience sampling method was employed to conduct surveys, and a total of 283 children were selectal from one kindergarten each in Beijing, Shenyang, and Xian. Participating children wore ActiGraph GT9X accelerometers continuously for one week to collect data on different intensity levels of physical activity. Physical Activity afterschool Questionnaire for Preschooler (P-PAQ) was utilized to assess parental sports concept and behavior. The gender differences in physical activity level and physical activity compliance rate were analyzed by using ttest, Mann-Whitney U test, and Chisquare test; and the relationship between parental exercise concepts and behaviors and physical activity of preschool children was analyzed using Spearman rank correlation analysis and multiple linear regression analysis. Results: Parental sports concept was significantly positively correlated with average daily moderatetovigorous physical activity (MVPA) and total physical activity (TPA) in children (r=0.12-0.16, P<0.05). Parental sports behavior was significantly positively correlated with childrens average daily TPA (r=0.25, P<0.05). Multiple linear regression revealed that parental sports concept was positively correlated with average daily MVPA and TPA in both boys and girls (B=0.65-0.83), while parental sports behavior only was positively correlated with boys average daily MVPA and TPA (B=0.24-0.25)(P<0.05). Conclusions Parental sports concept and behavior can impact physical activity levels in preschool children, exhibiting gender differences. Future guidance on physical activity in family upbringing should consider both parental sports concept and behavior, and pay attention to the influence of childrens gender.

ObjectiveTo investigate the protective effect of the extract of Liuwei Dihuangwan （LW） on mitochondrial damage in the Alzheimer's disease （AD） model of Caenorhabditis elegans （C. elegans）. MethodC. elegans transfected with human β-amyloid protein （Aβ） _1-42 gene was used as an AD model. The rats were divided into blank group， model group， metformin group （50 mmol·L^-1）， and low， medium， and high dose （1.04， 2.08， 4.16 g·kg^-1） LW groups. Behavioral methods were used to observe the sensitivity of 5-hydroxytryptamine （5-HT） in nematodes. Western blot was used to detect the expression of Aβ in nematodes. Total ATP content in nematodes was detected by the adenine nucleoside triphosphate （ATP） kit， and mitochondrial membrane potential was detected by the JC-1 method. In addition， the mRNA expression of Aβ expression gene （Amy-1）， superoxide dismutase-1 （SOD-1）， mitochondrial transcription factor A homologous gene-5 （HMG-5）， mitochondrial power-associated protein 1 （DRP1）， and mitochondrial mitoprotein 1 （FIS1） was detected by real-time fluorescence quantitative polymerase chain reaction （RT-PCR）. ResultThe extract of LW could reduce the hypersensitivity of the AD model of nematodes to exogenous 5-HT （P<0.05） and delay the AD-like pathological characteristics of hypersensitivity to exogenous 5-HT caused by toxicity from overexpression of Aβ in neurons of the AD model of nematodes. Compared with the blank group， in the model group， the mRNA expression of Aβ protein and Amy-1 increased （P<0.01）， and the mRNA expression of SOD-1 and HMG-5 decreased （P<0.01）. The mRNA expression of DRP1 and FIS1 increased （P<0.01）， and the level of mitochondrial membrane potential decreased （P<0.05）. The content of ATP decreased （P<0.01）. Compared with the model group， in the positive medicine group and medium and high dose LW groups， the mRNA expression of Aβ protein and Amy-1 decreased （P<0.05，P<0.01）， and the mRNA expression of SOD-1 and HMG-5 increased （P<0.01）. The mRNA expression of DRP1 decreased （P<0.05，P<0.01）， and that of FIS1 decreased （P<0.01）. The level of mitochondrial membrane potential increased （P<0.01）， and the content of ATP increased （P<0.05，P<0.01）. ConclusionThe extract of LW may enhance the antioxidant ability of mitochondria， protect mitochondrial DNA， reduce the fragmentation of mitochondrial division， repair the damaged mitochondria， adjust the mitochondrial membrane potential， restore the level of neuronal ATP， and reduce the neuronal damage caused by Aβ deposition.

Objective To explore the effect of methylene blue combined with ropivacaine for sa-phenous nerve block on the postoperative analgesia in patients undergoing total knee arthroplasty.Methods Sixty patients were selected for elective TKA,24 males and 36 females,aged 60-75 years,BMI 18.5-30.0 kg/m2,ASA physical status Ⅱ or Ⅲ.The patients were divided into two groups using randomized nu-merical table method:methylene blue combined with ropivacaine group(group MR)and ropivacaine group(group R),30 patients in each group.Ultrasound-guided saphenous nerve block was performed with 0.10％methylene blue+0.25％ropivacaine composite 20 ml in group MR,and ultrasound-guided saphenous nerve block was performed with 0.25％ropivacaine 20 ml in group R before the combined spinal-epidural anesthe-sia.The VAS pain scores at rest and during activity at 6,12,24,48,and 72 hours postoperatively,the maximum range of motion mobility(ROM)of the knee joint of the affected limb,the quadriceps unarmed manual muscle test(MMT)scores at 24,48,and 72 hours postoperatively,the effective number of analge-sic pump presses,and the time of the first additional time of the remedial analgesic were recorded.The com-plications related to nerve block,such as bleeding,infection,local anesthetic poisoning,nerve injury,and peripheral tissue injury were recorded.Results Compared with group R,the VAS pain score at rest was significantly lower in group MR at 12,24,48,and 72 hours postoperatively(P＜0.05).Compared with group R,the VAS pain scores during activity were significantly lower in the group MR at 48 and 72 hours postoperatively(P＜0.05).Compared with group R,ROM of the knee joint of the affected limb was signif-icantly greater in group MR at 24,48,and 72 hours postoperatively(P＜0.05).The effective number of analgesic pump presses and the rate of remedial analgesia were significantly lower in the group MR compared with group R(P＜0.05).There were no complications related to nerve block during hospital stay in both groups.Conclusion Ultrasound-guided methylene blue combined with ropivacaine for saphenous nerve block can enhance the postoperative analgesic effect,prolong the duration of analgesia,reduce the use of postoperative analgesics,and facilitate the functional exercise of the knee joint in the early postoperative pe-riod.