Objective To evaluate the advantages of powder-liquid double-chamber bag products compared with traditional powder injection. Methods The systematic review method was used to collect the literature on powder-liquid double-chamber bag, extract common evaluation indicators, evaluate the use value of powder-liquid double-chamber bag products, and conduct a comprehensive comparison with traditional powder injection products. Results A total of 23 articles were included in the literature. The effectiveness indicators used for evaluation were the stability of the liquid medicine, the accuracy of the preparation concentration, and the residual amount of the liquid medicine; the safety indicators were the incidence of insoluble particles and the incidence of punctures and scratches. The economic indicators were preparation cost, occupied volume of preparation supplies, waste weight, hospitalization cost and incidence of blood infection. The applicability indicators were preparation time, average occupation of medical staff, packaging weight and storage and transportation volume, environmental adaptability, and ease of waste disposal. Accessibility indicators are the number of manufacturers, raw material supply capacity, and patient affordability. Through the evaluation of literature evidence, it was found that the stability and concentration accuracy of the powder-liquid double-chamber bag were higher than those of the traditional powder injection, and the domestic supply had been achieved. The double-chamber bag method can reduce the infusion reaction and shorten the preparation time of the liquid medicine. Conclusion Compared with traditional powder injectabler products, powder-liquid double-chamber bags have advantages in the dimensions of effectiveness, safety, economy, suitability and innovation, and the accessibility dimension meets the requirements.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Perceptual decision making refers to the process by which individuals make choices and judgments based on sensory information, serving as a fundamental ability for human adaptation to complex environments. While traditional research has focused on perceptual decision making in isolated contexts, growing evidence highlights the profound influence of social contexts prevalent in real-world scenarios. As a crucial factor supporting individual survival and development, social context not only provides rich information sources but also shapes perceptual decision making through top-down processing mechanisms, prompting researchers to recognize the inherently social nature of human decisions. Empirical studies have demonstrated that social information, such as others’ choices or group norms, can systematically bias individuals’ perceptual decisions, often manifesting as conformity behaviors. Social influence can also facilitate performance under certain conditions, particularly when individuals can accurately identify and adopt high-quality social information. The impact of social context on perceptual decisions is modulated by a variety of external and internal factors, including group characteristics(e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.

A liquid chromatography-tandem mass spectrometry(LC-MS/MS)method was developed for determination of three kinds of β-agonists(Clenbuterol(CL),Ractopamine(RAC)and Salbutamol(SAL))residues in animal liver samples.The liver sample homogenates were extracted with organic solvent,followed by clean-up using the automatic magnetic solid-phase extraction(MSPE),and then analyzed using LC-MS/MS.The results showed that the magnetic mixed-mode cation exchange adsorbent(M-MCX)exhibited 34%higher adsorption capacity than the conventional mixed-mode cation exchange(MCX)column.Furthermore,the clean-up was conducted by using an automatic MSPE device,and 8 samples could be simultaneously treated within 30 min.The limits of detection(LOD)were 0.01-0.1 μg/kg,the average recoveries ranged from 88.2%to 110.5%,and the relative standard deviations(RSDs)were in range of 2.9%-10.3%at three spiked levels for the three kinds of β-agonists.Compared with the traditional SPE technique,the present method had many advantages such as simple operation,rapidity and high efficiency,which was suitable for high-throughput and automatic detection of residues in routine analysis.

Protein as the allergens could lead to allergy. In addition, a widespread class of allergens were known as glycans of N-glycoprotein. N-glycoprotein contained oligosaccharide linked by covalent bonds with protein. Recently,studies implicated that allergy was associated with glycans of heterologous N-glycoprotein found in food, inhalants, insect toxins, etc. The N-glycan structure of N-glycoprotein allergen has exerted an influence on the binding between allergens and IgE, while the recognition and presentation of allergens by antigen-presenting cells (APCs) were also affected. Some researches showed thatN-glycan structure of allergen was remodeled by N-glycosidase, such as cFase I, gpcXylase, as binding of allergen and IgE partly decreased. Thus, allergic problems caused by N-glycoproteins could potentially be solved by modifying or altering the structure ofN-glycoprotein allergens, addressing the root of the issue. Mechanism of N-glycans associated allergy could also be elaborated through glycosylation enzymes, alterations of host glycosylation. This article hopes to provide a separate insight for glycoimmunology perspective, and an alternative strategy for clinical prevention or therapy of allergic diseases.

Objective:To investigate the predictive value of infiltrating zone contrast-enhanced ultrasound(CEUS) gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma(IDC).Methods:A retrospective analysis was performed on 78 female breast cancer patients (95 masses) confirmed by surgical and pathology in the Affiliated Hospital of Jiangsu University from July 2019 to June 2022, which were divided into Grade-Ⅰ (22 masses), Grade-Ⅱ (28 masses), and Grade-Ⅲ (45 masses) according to the Nottingham histological grading system. The differences in the maximum diameter of the infiltration zone and the characteristic parameters of the gradient of the inner and outer edges of the infiltration zone among the three groups of masses were compared, and the differential gradient features among them were analyzed by multivariate ordered Logistic regression and ROC curves. The relationship between the differential gradient characteristics of the infiltration zone and the pathologically true infiltration of the mass was further explored.Results:The univariate analysis showed statistically significant differences among the three groups for peak-arrival time gradient (ΔTTP), ascending branch slope gradient (ΔRS), peak intensity gradient (ΔPI) and area gradient under the curve (ΔAUC) (all P<0.05). Multiple ordered logistic regression analysis showed that ΔTTP, ΔPI and ΔAUC had independent influences on the histologic grading of IDC (all P<0.05), and the area under the curve for the combination of the three in predicting IDC histology grades Ⅰ, Ⅱ and Ⅲ was 0.692, 0.705 and 0.765, respectively. In addition, the maximum diameter of pathologically true infiltration of the mass was positively correlated with ΔTTP ( r=0.621, P<0.05) and negatively correlated with ΔPI ( r=-0.605, P<0.05) and ΔAUC ( r=-0.719, P<0.05). Conclusions:Infiltration zone CEUS gradient features are effective in predicting the histologic grade of IDC and strongly correlate with the degree of pathologically true infiltration of the mass.

Objective:To examine the risk factors and predictive value of depression following mild acute ischemic stroke in elderly individuals.The aim is to enhance early identification and intervention, ultimately leading to improved prognosis.Methods:A case-control study was conducted on 988 elderly patients with mild acute ischemic stroke.The study collected general population and social data, as well as clinical laboratory data such as blood glucose, blood lipids, and AD7C-NTP in urine.Additionally, the patients underwent assessments using the Montreal Cognitive Assessment Scale(MoCA), National Institutes of Health Stroke Scale(NHISS), Barthel index(BI), Hamilton Anxiety Scale(HAMA), and Hamilton Depression Scale(HAMD).Based on the HAMD depression scale score, the patients were divided into a nopost-stooke depression(NPSD)group and a post-stooke depression(PSD)group.The study then analyzed the related risk factors and predictive value of PSD.Results:A total of 988 patients were eligible for inclusion, with 132 being excluded and 856 being included.The NPSD and PSD groups showed significant differences in age, hypertension, smoking history, education level, and stroke history(all P<0.05).Regarding clinical data, there were statistically significant differences between the two groups in total cholesterol(TC), triacylglycerol(TG), HDL, urinary AD7C-NTP, MoCA, and HAMA scores(all P<0.05).The results of the multi-factor logistic regression analysis revealed that gender( OR=1.975, 95% CI: 1.223-3.190, P=0.005), stroke history( OR=1.352, 95% CI: 0.877-2.086, P=0.042), and HAMA score( OR=1.216, 95% CI: 0.932-1.526, P=0.043)were identified as independent risk factors for post-stroke depression in the elderly.Conversely, MoCA score( OR=0.873, 95% CI: 0.814-0.937, P<0.001)was found to be an independent protective factor.Furthermore, the ROC curve analysis demonstrated that the HAMA score(AUC=0.892, sensitivity: 0.721, specificity: 0.854, cut-off value: 9.5)exhibited significant predictive value, while the other indexes had limited predictive value. Conclusions:Gender, stroke history, and HAMA score have been identified as potential independent risk factors for post-stroke depression(PSD)in the elderly, while MoCA score may serve as an independent protective factor.Notably, HAMA score demonstrates a strong predictive ability for PSD.Early identification of these factors and timely intervention could significantly contribute to improving prognosis.

Objective : To explore the mechanism of hippocampal corticotropin-releasing hormone ( CRH) receptor type 1 ( CRHR1 ) in chronic stress-induced learning and memory impairment in early aged mice． Methods: C57BL /6J mice aged 12 －14 months were divided into two groups according to gender，and then divided into wild type (WT) group and hippocampal CRHR1 conditional gene knockout (KN) group according to genotype．Mice in each group were randomly divided into control group and stress group，and the stress group was subjected to chronic unpredictable stress ( CUS ) for 30 days． Genotyping of mice was performed using polymerase chain reaction ( PCR) ，agarose gel electrophoresis and real-time fluorescence quantitative PCR (RT-qPCR) ．The new object rec- ognition experiment and Morris Water maze measured learning and memory ability．Golgi-Cox staining was used to observe damage to hippocampal neuronal dendrites． The protein expressions of target protein of rapamycin (mTOR) ，p-mTOR (Ser2448) ，ribosomal protein S6 kinase ( p70S6K) and p-p70S6K ( Thr389 / Thr412 ) were detected by Western blot．Serum levels of corticotropin releasing hormone ( CRH) were measured by ELISA. Results : Compared to mice without chronic stress，the cognitive coefficient of WT stress groups decreased after chron- ic stress，and the difference was statistically significant (P ＜0. 05) ，while there was no significant difference in cognitive coefficient of KN stress groups before and after chronic stress．Compared with the WT stress group，the escape latency of the WT control group was shortened (P＜0. 05) ，and the number of crossing the platform and tar- get quadrant increased (P ＜0. 01) ，and there was no significant difference in the KN groups above． Compared with the WT control group，the WT stress group had a significant reduction in the neuronal complexity in the hipp- ocampal CA1，CA3 and DG regions (P ＜0. 05) and significant reductions in the expression of p-mTOR and p- p70S6K in the hippocampus (P＜0. 05) ．There was no significant difference in the expression of p-mTOR between the KN stress group and the KN control group (P＞0. 05) ，except that the expression of p-mTOR in the hippocam- pus of the female group decreased (P＜0. 05) ．In addition，the serum level of CRH in the stress group was higher than that in the control group (P＜0. 01) ． Conclusion Hippocampal CRHR1 regulates learning and memory im- pairment and neuronal dendrite damage in early aged mice induced by chronic stress．The mechanism may be that high levels of CRH induced by chronic stress cannot bind to CRHR1 receptor，thereby enhancing the expression of down-regulated mTOR / p70S6K signaling pathway.

Objective To explore the effects of different concentrations of lidocaine infiltration and analgesia in pleural cavity after lung cancer surgery on rehabilitation of patients.Methods A total of 86 patients with lung cancer were selected and divided into the high concentration group(43 cases)and low concentration group(43 cases)by random number table method.Patients in the high concentration group received injection of 2.0%lidocaine hydrochloride in pleural cavity through the epidural catheter 1st day after surgery,and patients in the low concentration group received injection of 1.5%lidocaine hydrochloride in pleural cavity.In addition,patients in the two groups were treated with patient-controlled intravenous analgesia after surgery.The first time of getting out of bed,first time of exhaustion,first time of defecation and hospital stay after surgery of the two groups were compared.The visual analogue scale(VAS)scores 6 hours,12 hours,24 hours and 48 hours after surgery,the occurrence of agitation during the postoperative awakening period,and the number of analgesic pump compressions and the dosage of analgesic drugs within 24 hours after surgery were compared.The incidence of adverse drug reactions 24 hours after surgery were recorded and the quality of recovery of patients 24 hours after surgery was evaluated by 40-item quality of recovery score(QoR-40).Results The first time of getting out of bed,first time of exhaustion,first time of defecation and hospital stay after operation of patients in the high concentration group were shorter than those in the low concentration group(P<0.05).The VAS scores of the two groups 12 hours and 24 hours after surgery were higher than those 6 hours after surgery(P<0.05),the VAS scores 24 hours and 48 hours after surgery were lower than those 12 hours after surgery(P<0.05),and the VAS scores 48 hours after surgery were lower than those 24 hours after surgery(P<0.05).The VAS scores 6 hours,12 hours,24 hours,and 48 hours after surgery of patients in the high concentration group were lower than those in the low concentration group(P<0.05).The occurrence of agitation during the postoperative awakening period,and the number of analgesic pump compressions and the dosage of analgesic drugs within 24 hours after surgery for patients in the high concentration group were lower/less than those in the low concentration group(P<0.05).There was no significant difference in the total incidence of adverse drug reactions between the two groups(P>0.05).The total QoR-40 score of patients in the high concentration group were higher than those in the low concentration group(P<0.05).Conclusion The use of 2.0%lidocaine infiltration and analgesia in pleural cavity for patients after lung cancer surgery can reduce the agitation during the awakening period,alleviate the postoperative pain,improve the quality of postoperative recovery,and promote the postoperative recovery of the patients,with certain safety.

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China