Background/Aims: Acetyl coenzyme A (acetyl-CoA) is one of the most essential metabolites in cell metabolism but its function and concentration in hepatocellular carcinoma (HCC) remain elusive and controversial. Methods: A comprehensive analysis of acetyl-CoA levels and acetyl-CoA synthetase 2 (ACSS2) expression across a range of samples, including patient specimens from both hepatitis B virus (HBV) positive and HBV negative HCC individuals, HBV-transgenic mouse HCC models, and multiple cell lines. Furthermore, to evaluate the functional significance of ACSS2 in HBV-related HCC, we implemented both genetic and pharmacological inhibition strategies targeting ACSS2. Molecular mechanism and mitophagy assessment were revealed by cleavage under target and tagmentation sequencing, RNA sequencing, bioinformatic analyses, transmission electron microscopy and JC-1 staining. Results: Our study revealed a distinct metabolic signature of HBV-related HCC, marked by elevated acetyl-CoA, which was driven by ACSS2. ACSS2 was upregulated by the carbohydrate response element-binding protein in HBV-related HCC. Furthermore, ACSS2 improved tumor cell proliferation, an effect that was dependent on its enzymatic activity. Mechanistically, ACSS2-induced acetyl-CoA accumulation activated voltage-dependent anion channels 1 transcription through increased H3K27ac occupancy, which subsequently promoted mitophagy and HBV-related HCC tumorigenesis. Notably, targeting ACSS2 by depletion or inhibition with a catalytic inhibitor significantly suppressed tumor growth. Conclusions These findings not only illustrate the interplay between metabolic reprogramming, epigenetic modification, and tumorigenesis in the context of HBV infection, but also highlight ACSS2 as a novel metabolic vulnerability in HBV-related HCC. Therefore, targeting ACSS2 could be a novel strategy against HBV-related HCC.

ObjectiveBased on the zebrafish model， the hepatotoxicity and anti-osteoporotic activity of evodiamine （EVO） were studied. The mechanism of EVO in treating osteoporosis was explored by using network pharmacology and real-time polymerase chain reaction（Real-time PCR）. MethodsThree days after fertilization （3 dpf）， zebrafish were randomly selected and exposed to different concentrations of EVO solution for 96 hours. The mortality rate of zebrafish at different concentrations was calculated at the exposure endpoint， and a "dose-toxicity" curve was drawn. The 10% lethal concentration （LC₁₀） was calculated. Liver phenotype， acridine orange staining， and pathological tissue sections of liver-transgenic zebrafish ［CZ16 （gz15Tg.Tg （fabp 10a： ds Red； ela31： EGFP））］ were used to confirm hepatotoxicity of EVO. On this basis， prednisolone was used to create a model of osteoporosis in zebrafish. The skull development， area of the skull stained by alizarin red， and cumulative optical density were used as indicators to evaluate the anti-osteoporotic activity of EVO in a safe dose. Based on network pharmacology， the mechanism of action of EVO in the treatment of osteoporosis was predicted and verified through Real-time PCR. ResultsThe LC₁₀ of EVO on zebrafish （7 dpf） was determined to be 0.4 mg·L^-1. Compared with the control group， sublethal concentrations （10=0.36 mg·L^-1 and 1/2LC₁₀=0.18 mg·L^-1） significantly decreased the fluorescence area of zebrafish liver （P<0.05，P<0.01） and increased the number of liver cell apoptosis. The arrangement of liver tissue was disordered and loose， and the vacuole was obvious， especially in the 0.36 mg·L^-1 group. Compared with the control group， under safe dose conditions， 0.08 and 0.02 mg·L^-1 of EVO had no significant effect on the liver. Prednisolone administration significantly reduced the mineralization area and cumulative optical density of zebrafish skulls （P<0.01） compared with the control group. The mineralization area and cumulative optical density of zebrafish skulls in the 0.08 and 0.02 mg·L^-1 groups of EVO were significantly increased compared with the model group （P<0.01）. Network pharmacology prediction suggested that EVO may regulate key targets such as avian sarcoma viral oncogene homolog （SRC）， signal transducer and activator of transcription 3 （STAT3）， interleukin-8 （CXCL8） and tyrosine kinase receptor 2 （ERBB2） to regulate signaling pathways related to lipid and atherosclerosis in diabetic complications， as well as the regulation of inflammatory mediators of tryptophan （TRP） channels. Real-time PCR experiment results indicated that EVO could regulate the above-mentioned targets， as well as genes related to osteoblasts and osteoclasts. ConclusionExcessive doses of EVO can lead to hepatotoxicity in zebrafish. Under safe dosage conditions， EVO can regulate relevant targets to exert anti-osteoporotic activity， providing a reference for the clinical safe use of EVO and ideas for the development of new drugs for osteoporosis.

Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Objective To explore the mediating role of intolerance of uncertainty(IU)and moderating role of the negative emotion differentiation in the influence of perceived stress on anxiety among college students from a cognitive perspective.Methods A total of 271 participants were surveyed using the perceived stress scale,intolerance of uncertainty scale,depression anxiety and stress scale(Chinese version),and the test on negative emotional differentiation.SPSS 22.0 was used to perform descriptive statistics and correlation analyses and to test the moderated mediation model.Results Perceived stress affected anxiety and IU played a mediating role-perceived stress could affect anxiety through influencing IU.At the same time,the influence of IU on anxiety could be adjusted through the negative emotion differentiation.The higher the degree of negative emotion differentiation,the lower the degree of anxiety increase(β=0.17,t=5.70,P＜0.01).Conclusion It may be effective to develop training programs to reduce anxiety by regulating perceived stress,increasing acceptance of uncertainty,and improving the negative emotion differentiation,which can help individuals reduce anxiety by perceiving and adjusting anxiety-related emotional or cognitive factors in a timely manner.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

Objective To explore the correlation between amide proton transfer weighted(APTw)imaging of the brain and the clinical psychological scale assessment in patients with Alzheimer's disease(AD).Methods A total of 30 AD patients(AD group)and 33 gender-and age-matched healthy volunteers(control group)were selected and all patients underwent brain MRI,magnetic resonance angiography(MR A)and APTw imaging examinations.According to the APTw images,the magnetization transfer ratio asym-metry(MTRasym)at 3.5 ppm values of each brain region were measured.The differences in MTRasym(3.5 ppm)values of each brain region between the AD group and the control group were compared,and then the diagnostic efficacy of MTRasym(3.5 ppm)values with significant differences were further analyzed.The correlations between the MTRasym(3.5 ppm)values of each brain region and scores of the mini-mental state examination(MMSE)and Montreal cognitive assessment(MoCA)were analyzed.Results Compared with the control group,the MTRasym(3.5 ppm)values of the left hippocampal head in the AD group were significantly increased(P＜0.05).The area under the curve(AUC)of the receiver operating characteristic(ROC)curve of MTRasym(3.5 ppm)values of the left hippocampal head was 0.656(P＜0.05).MTRasym(3.5 ppm)values of the left hippocampal head,right temporal white matter,and bilateral occipital white matter were significantly negatively correlated with MoCA score(P＜0.05).Conclusion APTw imaging can effectively reflect the changes of protein concentration of the brain regions in AD patients,and is associated with cognitive func-tion,providing a new approach and method for early non-invasive diagnosis and disease monitoring of AD.

Objective To observe the value of training about ovarian-adnexal reporting and data system((O-RADS)for risk stratification of adnexal lesions diagnostic efficacy of different seniority physicians before and after training.Methods A total of 575 O-RADS 1-5 point lesions from 470 patients who received non-contrast enhanced pelvic MR and dynamic contrast-enhanced MRI(DCE-MRI)were retrospectively included.The lesions were scored by 1 junior radiologist(radiologist A)and 1 senior radiologist(radiologist B)independently according to O-RADS risk stratification,and the results were recorded as R1 and R2,respectively.Three months later,the lesions were rescored by radiologist A and B after receiving systematic training from gynecological imaging experts,and the results were recorded as R11 and R22,respectively.Two gynecological imaging experts conducted a consensus scoring,and the results were recorded as R0.Taken O-RADS score＞3 as the criterion for malignant,the diagnostic efficacy of radiologist A and B before and after training were evaluated,while taken R0 as the reference,the intra-observer,inter-observer consistency between radiologist A and B,as well as their consistency with R0 were calculated.Results The diagnostic sensitivity and specificity of R0 was 95.21%and 93.14%,respectively.The diagnostic sensitivity of radiologist A before and after training was 92.22%and 95.21%,with specificity of 83.33%and 89.46%,respectively.For radiologist B,the sensitivity before and after training was 95.81%and 95.21%,with specificity of 92.89%and 91.91%,respectively.Good intra-observer consistency of O-RADS score was observed both in radiologist A and B,with Kappa value of 0.845 and 0.884,respectively,which also noticed between radiologist A and B,with Kappa value of 0.761,and the Kappa value of R1,R2 and R0 was 0.781 and 0.911,respectively.After training,the inter-observer consistency of radiologist A and B increased,and Kappa value of R11,R22 and R0 was 0.844 and 0.915,respectively.Conclusion Training about O-RADS for risk stratification was helpful to improving diagnostic specificity of benign and malignant adnexal lesions,especially for junior radiologists.

Objective:To design a morning quality assurance method for pencil-beam scanning proton system to achieve integrated measurement of multiple parameters.Methods:A functionally partitioned morning check phantom was designed and manufactured, which was fixed to a specific position on the treatment bed with a 3D-printed clip, along with the two-dimensional matrix ionization chamber, for consistency checks of proton field and beam-related parameters. Additionally, a groove for an imaging phantom was reserved on one side of the clip for the functional check of the onboard imaging guidance system. The sensitivity and specificity of the aforementioned morning check method were tested, demonstrating its effectiveness. The morning check data from a rotating beam treatment room at the Hefei Ion Medical Center over a continuous period of 7 months (126 d) were analyzed. The output, field flatness, symmetry, field size and the duration of morning check were observed.Results:The results showed that the changes in the output, field flatness, and symmetry were all within 1%, the change in the field size was within 0.5 mm, and the range variations for both 155 MeV and 240 MeV energy levels were within 1 mm. The changes in the spot size for the four energy levels of 100 MeV, 130 MeV, 160 MeV, and 190 MeV were all within 2%, and the spot position deviations were within 1.5 mm. The entire morning check process could be completed within 20 min.Conclusions:The morning check method designed and manufactured in this study specifically for pencil-beam scanning proton therapy can efficiently and integrally measure various proton system parameters and can be used as an implementation method for clinical proton therapy morning check.

Objective: To investigate the correlation of emotional and behavioral problems with sleep problems in children with cerebral palsy, so as to provide reference for intervention of emotional and behavioral problems in children. Methods: A cross sectional survey was conducted, and 402 children aged 6-18 with cerebral palsy who were adopted by social welfare institutions in Guangzhou City from January 2023 to January 2024 were selected to investigate their full time nurses. The Parents Strengths and Difficulties Questionnaire (SDQ) was used to assess the emotional and behavioral problems of children with cerebral palsy, and the Children s Sleep Habits Questionnaire (CSHQ) was used to assess sleep problems. Multiple linear regression analysis was used to analyze the correlation between the sleep problem of children with cerebral palsy and the emotional and behavioral problems. Results: The prevalence of emotional and behavioral difficulties among children with cerebral palsy was 15.7%. The median sleep problem score of children with emotional and behavioral problems [37.0(36.0, 41.0)] was significantly higher than that of children without emotional and behavioral [35.0(34.0, 36.0)] ( Z =-5.74, P <0.01). The results of multiple linear regression analysis showed that after adjusting covariables such as age, gender, cerebral palsy classification, language retardation, visual impairment and epilepsy, the total sleep problem score of children with cerebral palsy was positively correlated with the total difficulty score ( β= 0.28, 95%CI =0.17-0.34, P <0.05). Conclusions Sleep problems in children with cerebral palsy are associated with emotional and behavioral difficulties. Understanding of the management of sleep problems in children with cerebral palsy should be enhanced to reduce the incidence of emotional and behavioral problems in children with cerebral palsy.