1.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.
2. Inhibition of HSP70 release by geniposide improves angiogenesis in moist heat arthralgia spasm syndrome collagen induced arthritis rats
Yin SHU ; Pei-Rong GAN ; Yan WANG ; Yan-Hong BU ; Hong WU
Chinese Pharmacological Bulletin 2024;40(2):324-334
Aim To investigate the relation between the effect of geniposide (GE) in improving angiogenesis in arthralgia spasm syndrome collagen induced arthritis (CIA) rats and the modulation of heat shock proteins 70 (HSP70) release. Methods A CIA model was constructed by multiple intradermal injections of complete Freund's adjuvant (CFA) and an equal volume mixture of chicken type II collagen (CCII) into the dorsal and caudal root regions of rats, on the basis of which a rheumatic fever stimulus was given to build up a moist heat arthralgia spasm syndrome in CIA rats. After successful modeling, the groups were randomly grouped, and the administered groups were gavaged with GE (60, 120 mg · kg
3.LI Chuang-Peng's Experience in Treating Fever of Unknown Origin from the Perspective of Warming Shaoyinand Unblocking Yangming
Shu-Lin FU ; Pei-Zhong LIU ; He-Zhen ZHANG ; Chuang-Peng LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(1):218-224
Fever of unknown origin(FUO)is a difficulty in clinical diagnosis and treatment.Patients with FUO come to seek medical consultation usually with fever as the main complaint,and the accompanying symptoms and signs are generally atypical.The pathogenesis of FUO remains conflicting in the field of modern western medicine,and its treatment is still focused on empirical anti-inflammatory management,which has the deficiency of delayed diagnosis,limited therapeutic options,poor therapeutic effects,and obvious adverse reactions.In the field of traditional Chinese medicine(TCM),FUO generally results from the dysfunction of zang-fu organs and the imbalance of yin and yang,and has the clinical features of long duration of illness,unknown etiology,complexity of illness,recurrent attacks,and difficult to be cured.Based on the six-meridian syndrome differentiation,Chief Physician LI Chuang-Peng pointed out that the pathogenesis of FUO is characterized by the combined disease of shaoyin and yangming,and put forward the therapeutic principle of warming shaoyin and unblocking yangming.He proposed the use of Dahuang Fuzi Decoction(mainly composed of Rhei Radix et Rhizoma and Aconiti Lateralis Radix Praeparata)plus Yiyi Fuzi Baijiang Powder(mainly composed of Coicis Semen,Aconiti Lateralis Radix Praeparata and Patriniae Herba)to subside fever and eliminate pathogen,together with Asari Radix et Rhizoma for guiding the medicine directly to the shaoyin.Moreover,therapies of strengthening and activating spleen and stomach,nourishing yin to produce fluid,and unblocking the blood vessels can be used for eliminating the pathogen and supporting the healthy qi.
4.Data Mining of Medication Rules for the Treatment of Atopic Dermatitis the Children by Chinese Medical Master XUAN Guo-Wei
Jin-Dian DONG ; Cheng-Cheng GE ; Yue PEI ; Shu-Qing XIONG ; Jia-Fen LIANG ; Qin LIU ; Xiu-Mei MO ; Hong-Yi LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(3):752-758
Objective Data mining technology was used to mine the medication rules of the prescriptions used in the treatment of pediatric atopic dermatitis by Chinese medical master XUAN Guo-Wei.Methods The medical records of effective cases of pediatric atopic dermatitis treated by Professor XUAN Guo-Wei at outpatient clinic were collected,and then the medical data were statistically analyzed using frequency statistics,association rule analysis and cluster analysis.Results A total of 242 prescriptions were included,involving 101 Chinese medicinals.There were 23 commonly-used herbs,and the 16 high-frequency herbs(frequency>100 times)were Glycyrrhizae Radix et Rhizoma,Saposhnikoviae Radix,Glehniae Radix,Perillae Folium,Ophiopogonis Radix,Cynanchi Paniculati Radix et Rhizoma,Microctis Folium,Dictamni Cortex,Scrophulariae Radix,Coicis Semen,Cicadae Periostracum,Lilii Bulbus,Rehmanniae Radix,Kochiae Fructus,Sclerotium Poriae Pararadicis,and Euryales Semen.The analysis of the medicinal properties showed that most of the herbs were sweet and cold,and mainly had the meridian tropism of the spleen,stomach and liver meridians.The association rule analysis yielded 24 commonly-used drug combinations and 20 association rules.Cluster analysis yielded 2 core drug combinations.Conclusion For the treatment of pediatric atopic dermatitis,Professor XUAN Guo-Wei focuses on the clearing,supplementing and harmonizing therapies,and the medication principle of"supporting the healthy-qi to eliminate the pathogen,and balancing the yin and yang"is applied throughout the treatment.
5.A Prognostic Model Based on Colony Stimulating Factors-related Genes in Triple-negative Breast Cancer
Yu-Xuan GUO ; Zhi-Yu WANG ; Pei-Yao XIAO ; Chan-Juan ZHENG ; Shu-Jun FU ; Guang-Chun HE ; Jun LONG ; Jie WANG ; Xi-Yun DENG ; Yi-An WANG
Progress in Biochemistry and Biophysics 2024;51(10):2741-2756
ObjectiveTriple-negative breast cancer (TNBC) is the breast cancer subtype with the worst prognosis, and lacks effective therapeutic targets. Colony stimulating factors (CSFs) are cytokines that can regulate the production of blood cells and stimulate the growth and development of immune cells, playing an important role in the malignant progression of TNBC. This article aims to construct a novel prognostic model based on the expression of colony stimulating factors-related genes (CRGs), and analyze the sensitivity of TNBC patients to immunotherapy and drug therapy. MethodsWe downloaded CRGs from public databases and screened for differentially expressed CRGs between normal and TNBC tissues in the TCGA-BRCA database. Through LASSO Cox regression analysis, we constructed a prognostic model and stratified TNBC patients into high-risk and low-risk groups based on the colony stimulating factors-related genes risk score (CRRS). We further analyzed the correlation between CRRS and patient prognosis, clinical features, tumor microenvironment (TME) in both high-risk and low-risk groups, and evaluated the relationship between CRRS and sensitivity to immunotherapy and drug therapy. ResultsWe identified 842 differentially expressed CRGs in breast cancer tissues of TNBC patients and selected 13 CRGs for constructing the prognostic model. Kaplan-Meier survival curves, time-dependent receiver operating characteristic curves, and other analyses confirmed that TNBC patients with high CRRS had shorter overall survival, and the predictive ability of CRRS prognostic model was further validated using the GEO dataset. Nomogram combining clinical features confirmed that CRRS was an independent factor for the prognosis of TNBC patients. Moreover, patients in the high-risk group had lower levels of immune infiltration in the TME and were sensitive to chemotherapeutic drugs such as 5-fluorouracil, ipatasertib, and paclitaxel. ConclusionWe have developed a CRRS-based prognostic model composed of 13 differentially expressed CRGs, which may serve as a useful tool for predicting the prognosis of TNBC patients and guiding clinical treatment. Moreover, the key genes within this model may represent potential molecular targets for future therapies of TNBC.
6.Current situation of medical students'understanding and use of teaching informationization platform un-der the background of education informationization
Xinzhu SHI ; Rongmei LI ; Shu LI ; Guangmei YUAN ; Jingfeng LI ; Xiucong PEI
Journal of Shenyang Medical College 2024;26(2):213-216
Objective:To gain insights into the cognitive processes and utilization patterns of medical students regarding teaching information platforms and resources,and aims to provide valuable references for the implementation of modern medical information technology in educational reforms.Methods:A survey was conducted among all voluntary medical students of grade 2019 to grade 2022.Questionnaire surveys and semi-open interviews were used to investigate.Results:The findings indicated that medical students possess a comprehensive understanding of various teaching platforms,with a high frequency of accessing course materials through these platforms.However,the browsing rate for case analyses recommended by teachers on these platforms remains relatively low.Students demonstrated awareness and utilization of quality courses,particularly MOOCs and micro-courses,which were more frequently utilized compared to other courses.Conclusion:Medical students have a strong awareness of information technology and the ability to solve academic problems through multiple platforms and channels.The construction of teaching platform resources needs to further optimize and improve its simplicity and affinity,and teachers should selectively push high-quality teaching resources to realize the rational application of medical information technology in teaching.
7.Discussion of the methodology and implementation steps for assessing the causality of adverse event
Hong FANG ; Shuo-Peng JIA ; Hai-Xue WANG ; Xiao-Jing PEI ; Min LIU ; An-Qi YU ; Ling-Yun ZHOU ; Fang-Fang SHI ; Shu-Jie LU ; Shu-Hang WANG ; Yue YU ; Dan-Dan CUI ; Yu TANG ; Ning LI ; Ze-Huai WEN
The Chinese Journal of Clinical Pharmacology 2024;40(2):299-304
The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.
8.Effects of sulforaphane on endothelin-1-induced proliferation in rat vascular smooth muscle cells
Chen-Jing WANG ; Shu-Yan PEI ; Xiao-Kun WANG ; Feng SUN ; Zhong GUO
The Chinese Journal of Clinical Pharmacology 2024;40(3):363-367
Objective To investigate the effects and the mechanisms of sulforaphane(SFN)on endothelin-1(ET-1)-induced proliferation in rat vascular smooth muscle cell(VSMC).Methods Rat VSMC were cultured by using the modified tissue explant technique in vitro and were randomly divided into control group(normal culture),model group(treated with 0.1 μmol·L-1 ET-1)and experimental-L,-M,-H groups(treated with 5,10,20 SFN+0.1 μmol·L-1 ET-1).The survival rate of VSMC were measured by methyl thiazolyl tetrazolium.The proliferation and apoptosis related genes in mRNA level in VSMC were respectively examined with real-time quantitative polymerase chain reaction;the relative fluorescence intensity of reactive oxygen species(ROS)in VSMC were measured by fluorescent probe 2',7'-dichlorodihydrofluorescein diacetate;the protein expression of B-cell lymphoma-2(Bel-2),cysteinyl aspartate-specific proteinase-3(caspase-3),p38 mitogen-activated protein kinases(p38MAPK),phosphorylated p38 mitogen-activated protein kinases(p-p38MAPK),and p53 in VSMC were investigated by Western blot.Results The proliferation activities of the control group,model group,experimental-L,-M,-H groups were 0.27±0.02,0.50±0.04,0.40±0.03,0.38±0.03 and 0.34±0.03;the expression levels of Bcl-2 mRNA were 1.57±0.28,1.00±0.00,0.87±0.05,0.75±0.08 and 0.41±0.18;the expression levels of caspase-3 mRNA were 0.84±0.10,1.00±0.00,1.33±0.10,1.61±0.15 and 1.83±0.16;the relative fluorescence intensities of ROS in VSMC were 6.05±1.50,31.45±3.12,30.03±1.85,18.39±5.62 and 17.18±1.97;the relative expression levels of Bel-2 protein were 0.65±0.02,0.60±0.02,0.49±0.02,0.48±0.03 and 0.49±0.01;the relative expression levels of caspase-3 protein were 0.03±0.00,0.25±0.01,0.42±0.01,0.46±0.02 and 0.64±0.03;the protein expression ratios of p-p38MAPK/p38MAPK were 0.97±0.05,1.44±0.04,1.62±0.10,2.18±0.05 and 2.70±0.05;the relative expression levels of p53 protein were 0.20±0.01,0.30±0.01,0.34±0.02,0.37±0.01 and 0.42±0.01 respectively.There were statistically significant differences in the above indicators between model group and control group,between model group and experimental-M,-H groups(P<0.05,P<0.01).Conclusion These demonstrate that SFN may inhibit proliferation and prompt apoptosis in ET-1-stimulated VSMC by anti-oxidant and activating p38MAPK and p53-depended apoptosis signal pathway.
9.Preparation of a Fluorescent Nanosensor Based on NaYF4∶Yb3+,Er3+@SiO2 for Detection of Hydrogen Peroxide in Milk
Kong-Hao PENG ; Wei PENG ; An-Qi BAI ; Ling-Nan WANG ; Wei-Xin ZHAO ; Yue WU ; Wen GUO ; Shu-Rong LI ; Li-Xia LUO ; Pei-Jun MENG
Chinese Journal of Analytical Chemistry 2024;52(5):685-694
The rare-earth-elements-doped upconversion nanoparticles NaYF4:Yb3+,Er3+were synthesized by solvothermal method,and NaYF4:Yb3+,Er3+@SiO2 were prepared by coating SiO2 on the surface of NaYF4:Yb3+,Er3+by inverse microemulsion method in this work.Based on the fluorescence quenching principle between NaYF4∶Yb3+,Er3+@SiO2 and SQA-Fe3+,a NaYF4∶Yb3+,Er3+@SiO2-SQA-Fe3+fluorescence nanosensor was constructed for detection of trace hydrogen peroxide(H2O2).Under optimal conditions,the linear range of this method for detecting H2O2 was 1.8?84.0 μmol/L,with detection limit(3σ)of 0.47 μmol/L.The recoveries of H2O2 spiked in milk were 98.4%?99.7%.This method could be used for detection of H2O2 residue in milk samples,with advantages such as low detection limit,good stability and strong anti-interference ability.
10.Discussion on the Academic Thoughts of Chinese Medical Master XUAN Guo-Wei in Treating Dermatosis by Harmonizing Therapy for Removing Toxins
Chi LIU ; Sha ZHOU ; Yuan-Sheng WU ; Shu-Qing XIONG ; Yue PEI ; Hong-Yi LI ; Wen-Feng WU ; Da-Can CHEN ; Guo-Wei XUAN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(10):2526-2531
The concept of'harmony'is the soul of traditional Chinese culture,which has a profound impact on the formation and development of traditional Chinese medicine(TCM).TCM is rooted in traditional Chinese culture,and the mode of thinking in TCM is in line with traditional Chinese culture.Based on the harmony culture,TCM has developed a unique view of health,disease and therapeutics.From the view of the harmony culture and by combining with years of clinical experience in treating dermatosis,Chinese medical master XUAN Guo-Wei has applied the concept of'harmony'in the TCM syndrome differentiation and treatment system in clinic,and has developed the academic thoughts of harmonizing therapy for removing toxins for the diagnosis and treatment of dermatosis.The thoughts of harmonizing therapy for removing toxins includes four aspects,namely harmonizing yin and yang,harmonizing healthy qi and pathogenic qi,harmonizing water and fire(i.e.,clod and hot),and harmonizing the administration of formula and drugs,aiming to remove toxins and expel pathogens and value the harmony.The thoughts of harmonizing therapy for removing toxins will beneficial to the comprehensive understanding of the unique health-disease-therapeutics concept in TCM,and will be helpful for managing the doctor-patient relationship,which is of enlightening significance to the modern clinical practice with TCM.

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