1.Comprehensive evaluation of powder-liquid double-chamber bag products: a systematic review
Fei SHU ; Rui SUN ; Kai SONG ; Yuanlin ZHANG ; Jiaming YAN ; Lixin SHU
Journal of Pharmaceutical Practice and Service 2025;43(2):92-96
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.
2.The effect of rutaecarpine on improving fatty liver and osteoporosis in MAFLD mice
Yu-hao ZHANG ; Yi-ning LI ; Xin-hai JIANG ; Wei-zhi WANG ; Shun-wang LI ; Ren SHENG ; Li-juan LEI ; Yu-yan ZHANG ; Jing-rui WANG ; Xin-wei WEI ; Yan-ni XU ; Yan LIN ; Lin TANG ; Shu-yi SI
Acta Pharmaceutica Sinica 2025;60(1):141-149
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.
3.The Influence of Social Context on Perceptual Decision Making and Its Computational Neural Mechanisms
Yu-Pei LIU ; Yu-Shu WANG ; Bin ZHAN ; Rui WANG ; Yi JIANG
Progress in Biochemistry and Biophysics 2025;52(10):2568-2584
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.
4.Noninvasive Diagnostic Technique for Nonalcoholic Fatty Liver Disease Based on Features of Tongue Images.
Rong-Rui WANG ; Jia-Liang CHEN ; Shao-Jie DUAN ; Ying-Xi LU ; Ping CHEN ; Yuan-Chen ZHOU ; Shu-Kun YAO
Chinese journal of integrative medicine 2024;30(3):203-212
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
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Non-alcoholic Fatty Liver Disease/diagnostic imaging*
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Ultrasonography
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Anthropometry
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Algorithms
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China
5.Schisandrin A ameliorates DSS-induced acute ulcerative colitis in mice via regulating the FXR signaling pathway
Jia-rui JIANG ; Kua DONG ; Yu-chun JIN ; Xin-ru YANG ; Yi-xuan LUO ; Shu-yang XU ; Xun-jiang WANG ; Li-hua GU ; Yan-hong SHI ; Li YANG ; Zheng-tao WANG ; Xu WANG ; Li-li DING
Acta Pharmaceutica Sinica 2024;59(5):1261-1270
Inflammatory bowel disease (IBD) is characterized by chronic relapsing intestinal inflammation and encompasses ulcerative colitis (UC) and Crohn's disease (CD). IBD has emerged as a global healthcare problem. Clinically efficacious therapeutic agents are deficient. This study concentrates on models of ulcerative colitis with the objective of discovering novel therapeutic strategies. Previous investigations have established that schisandrin A demonstrates anti-inflammatory effects
6.Optimization of the Forming Process of Mingmu Yijing Pills Based on AHP-CRITIC Mixed Weighting Method
Chunhong YANG ; Shu LI ; Qi ZHAO ; Qian SHI ; Yanxiong GAN ; Xianrong LAI ; Rui LI
Chinese Journal of Modern Applied Pharmacy 2024;41(5):672-677
OBJECTIVE
To clarify the weight index and optimize the technology of compound Mingmu Yijing pills.
METHODS
Water content, dissolution time limit and bolus-forming pass rate were included as evaluation indexes. The analytic hierarchy process(AHP) and the criterion importance through inter-criteria correlation(CRITIC) method based on the objectivity of indicators were adopted, AHP-CRITIC mixed weighting method. In this way, the relative coefficients of each index were calculated for weight distribution and comprehensive score, and the molding process was optimized and verified by Box-Behnken response surface test.
RESULTS
Compared with the single weighting method, the AHP-CRITIC mixed weighting method was more reasonable and stable. This method finally optimized the forming process conditions of Mingmu Yijing pills as follows: adding water amount of 0.8 times, the damp mass infiltration for 0.5 h, drying temperature of 60 ℃, drying time of 8 h. The mean comprehensive score of validation experiment was 88.21, RSD was 0.29%.
CONCLUSION
AHP-CRITIC method scientifically determines the weight of multiple indicators, and the verification test confirms that the optimized molding process is stable and feasible, which can be used in practical large-scale production.
7.The approaches and implications of emergency drug authorization by the U.S. FDA
Dan HAN ; Wen GAO ; Lunuan WANG ; Rui SUN ; Mingming GUO ; Lixin SHU
Journal of Pharmaceutical Practice and Service 2024;42(12):533-536
Objective To provide valuable insights for improving China’s special drug approval system by conducting an in-depth analysis of the practices of the U.S. Food and Drug Administration (FDA) in granting Emergency Use Authorizations (EUAs) for drugs. Methods A retrospective analysis was conducted on the FDA’s EUA decision-making process for COVID-19 therapeutics between January 2020 and June 2023. Results During the COVID-19 pandemic, the FDA adopted a series of regulatory science approaches to facilitate rapid approval of COVID-19 therapeutic drugs. The FDA granted EUA for a total of 15 COVID-19 therapeutic drugs and 4 COVID-19 vaccines, including expanded indications for marketed drugs, EUA for investigational drugs, revocation of EUA, and marketing after EUA. The main mechods for the rapid approval of EUA drugs by the FDA included the use of existing clinical trial data, omission of animal efficacy testing, merging of phase 1 and phase 2 clinical trials, and the use of clinical outcomes as surrogate endpoints, among other regulatory science methods. Conclusion The practices of the FDA in Emergency Use Authorization (EUA) of drugs, particularly its incorporation of regulatory scientific methods into the EUA process and the establishment of proactive monitoring mechanisms for drugs granted EUA, are worthy of emulation by China. It is suggested that China consider the experience of the FDA in the EUA system for drugs to further optimize and improve its special approval system for drugs.
8.Separation and Enrichment of β-Agonists from Animal Livers Based on Magnetic Solid-Phase Extraction with Automated-treatment Device
Shu-Lin WEI ; Zi-Hao WANG ; Tong LI ; Huai-En ZHU ; Ji-Hao SHAN ; Zhi-Chao SONG ; Rui-Guo WANG
Chinese Journal of Analytical Chemistry 2024;52(2):277-285
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.
9.Mechanism of hippocampal CRHR1 regulating chronic stress-induced learning and memory impairment in early aged mice
Xinru Tu ; Jiawen Xu ; Rui Liu ; Yulin Lu ; Shu Wang ; Yuyou Yao
Acta Universitatis Medicinalis Anhui 2024;59(1):117-126
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.
10.Allergy Associated With N-glycans on Glycoprotein Allergens
Yu-Xin ZHANG ; Rui-Jie LIU ; Shao-Xing ZHANG ; Shu-Ying YUAN ; Yan-Wen CHEN ; Yi-Lin YE ; Qian-Ge LIN ; Xin-Rong LU ; Yong-Liang TONG ; Li CHEN ; Gui-Qin SUN
Progress in Biochemistry and Biophysics 2024;51(5):1023-1033
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.


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