Background: s/Aims: Increasing evidence indicates that metabolites play a significant role in the pathogenesis of liver cancer and have potential as biomarkers for early detection. This review summarizes the current literature on the utility of metabolomic profiling as a screening strategy for early diagnosis of liver cancer. Methods: We searched PubMed, Embase, and Web of Science for studies published between 2004 and 2024 that examined metabolite alterations in liver cancer. The metabolites differentially expressed in liver cancer versus healthy controls, cirrhosis, and hepatic B virus cases are summarized. The diagnostic performance of the metabolite-based models was also evaluated, highlighting their potential as early detection biomarkers for liver cancer. Results: A total of 96 studies were included in this review, encompassing case-only, case-control, nested case-control, and cohort designs. The analysis identified taurine and taurochenodeoxycholic acid to be consistently associated with an increased risk of liver cancer, supported by findings from both the discovery and validation cohorts. Notably, a diagnostic model incorporating 10 metabolites including taurine and taurochenodeoxycholic acid, achieved an area under the receiver operating characteristic curve of 0.86 (95% confidence interval, 0.82-0.88), indicating strong discriminatory power for early liver cancer detection. Nevertheless, heterogeneity across studies was observed, largely owing to differences in biological sample types and metabolomic platforms. Conclusions This review highlights the significant roles of taurine and taurochenodeoxycholic acid in liver cancer development. Future research should prioritize the standardization of analytical methodologies, increased sample sizes, and integration of metabolomics with other omics layers to enhance our understanding of liver cancer biology and improve biomarker accuracy and clinical utility.

The adaptive motion control method for bio-inspired hexapod robot is explored based on bionics principles,as well as the limb structure and behavioral characteristics of tarantulas.Firstly,a bionic kinematic model for a single leg of the robot is established using the Denavit-Hartenberg method combined with mechanical parameters.The forward and inverse kinematic expressions are derived,and the triangular gait of the hexapod robot is implemented through composite cycloid trajectory planning.Subsequently,inspired by biological tactile sense and biological vestibular balance mechanisms,force sensors and inertial measurement unit are employed to acquire force control and posture information of the hexapod robot,followed by fusion processing,which enables the robot to perceive environmental changes and adjust its trajectory in real time.A motion control model integrating hybrid gaits is proposed to enhance the robot's environmental perception and adaptability.Finally,a semi-physical simulation experimental platform is constructed to verify the effectiveness and reliability of the proposed model.Experimental results demonstrate that this model can significantly improve the motion stability and traversal efficiency of the robot in complex and rugged terrains,providing robust support for the application of bio-inspired adaptive control methods in multi-legged robots.

AIM To investigate the effects of Liangxue Heying Formula-medicated serum(LXHY-MS)on human umbilical vein endothelial cells(HUVECs)induced by lipopolysaccharide(LPS).METHODS CCK-8,DCFH-DA fluorescence probe and Western blot method were used to screen the LPS concentration in modeling and the serum LXHY concentration for treatment.The HUVECs divided into the normal group,the model group and the LXHY-MS group had their SOD activity detected by automatic biochemical analyzer;their MDA level detected by colorimetry;their protein expressions of ICAM-1,VCAM-1,IL-6,TNF-α,p-JAK2 and p-STAT3 detected by Western blot;and their mROS expression and recruitment effect on THP-1 photographed with high connotation.With the use of JAK2/STAT3 pathway inhibitor(AG490),the HUVECs divided into the normal group,the AG490 group,the LPS group,the LPS+AG490 group,the LPS+LXHY-MS group,and LPS+LXHY-MS+AG490 group were subjected to the corresponding treatment,followed by the detection of their protein expressions of ICAM-1,VCAM-1,IL-6,TNF-α,p-JAK2 and p-STAT3 by Western blot.RESULTS Compared with the normal group,the model group displayed decreased SOD activity(P＜0.01),increased MDA level(P＜0.05),increased ICAM-1,VCAM-1,IL-6,TNF-α,p-JAK2,p-STAT3 protein expressions(P＜0.05,P＜0.01),and increased mROS expression and THP-1 cells recruitment.Compared with the model group,the LXHY-MS group shared increased SOD activity(P＜0.05),decreased MDA level(P＜0.01),decreased ICAM-1,VCAM-1,IL-6,TNF-α,p-JAK2,p-STAT3 protein expressions(P＜0.05,P＜0.01),reduced mROS expression and THP-1 cells recruitment.Given the use of AG490,the model group displayed increased protein expressions of ICAM-1,VCAM-1,IL-6,TNF-α,p-JAK2 and p-STAT3 in contrast to the normal group(P＜0.05,P＜0.01);each intervened group showed decreased expressions of related proteins in contrast to the model group(P＜0.05,P＜0.01).CONCLUSION LXHY-MS may protect the injury due to the activation of HUVECs by inhibiting the JAK2/STAT3 signaling pathway.

The adaptive motion control method for bio-inspired hexapod robot is explored based on bionics principles,as well as the limb structure and behavioral characteristics of tarantulas.Firstly,a bionic kinematic model for a single leg of the robot is established using the Denavit-Hartenberg method combined with mechanical parameters.The forward and inverse kinematic expressions are derived,and the triangular gait of the hexapod robot is implemented through composite cycloid trajectory planning.Subsequently,inspired by biological tactile sense and biological vestibular balance mechanisms,force sensors and inertial measurement unit are employed to acquire force control and posture information of the hexapod robot,followed by fusion processing,which enables the robot to perceive environmental changes and adjust its trajectory in real time.A motion control model integrating hybrid gaits is proposed to enhance the robot's environmental perception and adaptability.Finally,a semi-physical simulation experimental platform is constructed to verify the effectiveness and reliability of the proposed model.Experimental results demonstrate that this model can significantly improve the motion stability and traversal efficiency of the robot in complex and rugged terrains,providing robust support for the application of bio-inspired adaptive control methods in multi-legged robots.

In response to the demand for portable and rapid measurement in normalized nutritional metabolism monitoring,a low-power and multifunctional measurement method and system scheme based on indirect calorimetry is proposed. Firstly,a combination of Kalman and the 5th order Bessel filtering algorithm is used to preprocess the real-time data of oxygen,carbon dioxide,flow rate and electrocardiogram,and the cumulative amount of gas per unit time is obtained. Secondly,a rapid nutrient metabolism measurement method that considers resting analyses of electrocardiogram and respiratory waves is designed,and a calculation model for energy metabolism parameters is constructed. Then,a dedicated collection and analysis circuit system is developed to transmit data to the upper computer or cloud through wireless networks,achieving intelligent and networked design. Finally,the resting state of the subjects is determined by analyzing electrocardiogram and respiratory parameters,and the test of monitoring nutrient metabolism is completed. The results show that the system can effectively detect metabolism related physiological signals with high precision,and achieve accurate measurement of human fat and sugar consumptions on metabolism,providing an effective means for measuring human metabolic energy.

Objective:To evaluate the improvement in the outcome of intracapsular condylar fractures(ICFs)treatment with pre-cise soft tissue reduction in combination with open reduction and internal fixation(PSTR-ORIF)by comparson with traditional open reduction and internal fixation(T-ORIF).Methods:40 patients with ICFs were treated by T-ORIF and PSTR-ORIF(n=20)re-spectively.Preoperative and 6-month postoperative whole-mouth panoramic tomography,CT and MRI imaging data were analyzed,the repositioning of the soft and hard tissues of temporomandibular joints(TMJs),the Helkimo index,clinical symptoms and subjec-tive symptoms were compared between the 2 groups.Results:In PSTR-ORIF(26 sides)and T-ORIF(27 sides)groups,the rate of complete anatomical restoration of fractured segments at 6 months after surgery was 96.15％and 81.48％,and the overall effective rate of ICF articular disc restoration was 96.15％and 74.07％respectively,the height of the ascending mandibular branch was bet-ter restored in patients with B-type fracture after surgery(P＜0.05).At 6 months postoperatively,patients in the PSTR-ORIF group showed significant improvement in mouth opening,mandibular anterior extension distance,and lateral movement compared with the T-ORIF group(P＜0.05).The Helkimo index showed that the PSTR-ORIF group got a significant improvement in the complaint symptom index score and the clinical symptom index score compared with the T-ORIF group(P＜0.05).Conclusion:PSTR-ORIF is more effective than T-ORIF in the treatment of ICFs for the healing of condylar fractures,restore postoperative TMJ mobility and reduce the postoperative joint discomfort through good repositioning of soft tissues.

ObjectiveTo explore the changes in volatile components， total polysaccharides， enzyme activity， and chromaticity value of Myristicae Semen Koji（MSK） during the fermentation process， and conduct correlation analysis. MethodsBased on gas chromatography-mass spectrometry（GC-MS）， the changes of volatile components in MSK at different fermentation times were identified. The phenol sulfuric acid method， dinitrosalicylic acid method（DNS）， and carboxymethyl cellulose sodium salt method（CMC-Na） were used to investigate the total polysaccharide content， amylase activity， and cellulase activity during the fermentation process. Visual analysis technology was used to explore the changes in chromaticity values， revealing the fermentation process of MSK and the dynamic changes of various measurement indicators， partial least squares-discriminant analysis（PLS-DA） was used to explore the differential compounds of MSK at different fermentation degrees， and Pearson correlation analysis was used to explore the correlation between volatile components of MSK and total polysaccharides， enzyme activity， and chromaticity values. ResultsA total of 60 volatile compounds were identified from MSK， the relative contents of components such as （+）-α-pinene， β-phellandrene， β-pinene， （+）-limonene， and p-cymene obviously increased， while the relative contents of components such as safrole， methyl isoeugenol， methyleugenol， myristicin， and elemicin significantly decreased. During the fermentation process， the total polysaccharide content showed an upward trend， while the activities of amylase and cellulase showed an initial increase followed by a decrease， and reached their maximum value at 40 h. the overall brightness（L^*） and total color difference（ΔE^*） gradually increased， while the changes in red-green value（a^*） and yellow-blue value（b^*） were not obvious. PLS-DA results showed that MSK could be clearly distinguished at different fermentation times， and 13 differential biomarkers were screened out. Pearson correlation analysis results showed that the contents of α-terpinene， β-phellandrene， methyleugenol， β-cubebene and myristic acid had an obvious correlation with chromaticity values. ConclusionAfter fermentation， the volatile components， total polysaccharides， amylase activity， and cellulase activity of MSK undergo significant changes， and there is a clear correlation between them and chromaticity values， which reveals the dynamic changes in the fermentation process and related indicators of MSK， laying a foundation for the quality control.

As the use of nursing information systems (NIS) in clinical nursing practice has proliferated, NIS education has received increased attention. This paper introduces the background and research form of NIS in nursing education at home and abroad, and summarizes the deficiencies in the application and puts forward suggestions, in order to provide references for the subsequent development of a high-quality system and the development of courses that fit the actual situation of nursing students in China.

In response to the demand for portable and rapid measurement in normalized nutritional metabolism monitoring,a low-power and multifunctional measurement method and system scheme based on indirect calorimetry is proposed. Firstly,a combination of Kalman and the 5th order Bessel filtering algorithm is used to preprocess the real-time data of oxygen,carbon dioxide,flow rate and electrocardiogram,and the cumulative amount of gas per unit time is obtained. Secondly,a rapid nutrient metabolism measurement method that considers resting analyses of electrocardiogram and respiratory waves is designed,and a calculation model for energy metabolism parameters is constructed. Then,a dedicated collection and analysis circuit system is developed to transmit data to the upper computer or cloud through wireless networks,achieving intelligent and networked design. Finally,the resting state of the subjects is determined by analyzing electrocardiogram and respiratory parameters,and the test of monitoring nutrient metabolism is completed. The results show that the system can effectively detect metabolism related physiological signals with high precision,and achieve accurate measurement of human fat and sugar consumptions on metabolism,providing an effective means for measuring human metabolic energy.

Objective:To explore the clinical and biochemical characteristics of patients with hyperuricemia according to different pathophysiological subtypes. This may facilitate rapid identification of each subtype in clinical settings and provide evidence for personalized urate-lowering treatment.Methods:Patients diagnosed with hyperuricemia at the Department of Endocrinology and Metabolism, Tenth People′s Hospital of Tongji University between October 2015 and January 2024 were included. Based on 24-h urinary uric acid excretion(UUE) and the fractional excretion of uric acid(FEUA), patients were classified into four subtypes: renal uric acid underexcretion type(RUE), renal uric acid overload type(ROL), combined type and renal normal type. Clinical and biochemical variables-including sex, age, BMI, smoking history, comorbidities, blood glucose, and serum uric acid-were analyzed. Binary logistic regression was used to identify factors associated with each subtype.Results:Among 2 073 patients with hyperuricemia, 55.8% were RUE type, 6.9% were ROL type, 31.3% were combined type and 6.0% were renal normal type. RUE type had lower blood glucose levels and fewer cases of diabetes [ OR=0.685(95% CI 0.478-0.980), P<0.05]. ROL type showed a higher incidence of tophi, positively correlated with smoking history [ OR=1.672(95% CI 1.009-2.771), P<0.05], and negatively correlated with serum uric acid levels [ OR=0.994(95% CI 0.990-0.998), P=0.001]. Combined type had the youngest onset age, shortest disease duration, and the fewest comorbidities, and was associated with higher BMI [ OR=1.035(95% CI 1.001-1.070), P<0.05]. Renal normal type had the oldest age of onset, the highest proportion of female patients and comorbidities, and was associated with lower serum uric acid levels[ OR=0.994(95% CI 0.989-0.998), P=0.007], higher BMI[ OR=1.064(95% CI 1.003-1.129), P<0.05], and increased tophi incidence[ OR=2.261(95% CI 1.206-4.237), P=0.011]. Conclusion:Each pathophysiological subtype of hyperuricemia exhibits distinct clinical and biochemical characteristics, which may serve as useful references for subtype identification and personalized management in clinical practice.