In this study, there were three toxoplasmosis patients, two of whom developed symptoms in both eyes. One patient had a slight deviation of the lesion from the central fovea, which had a minor impact on vision. The diagnosis of this disease requires not only a close pet contact history and typical clinical manifestations, but also serology and the gold standard Goldmann-Witmer coefficient(GWC). However, the GWC of some patients cannot be detected at the initial stage, such as the first patient′s GWC, which did not meet the standard. All three patients underwent metagenomic testing to assist with diagnosis.

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.

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.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

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.

Objective To investigate the mechanism by which long non-coding RNA(lncRNA)AI662270 regulates insulin resistance in adipocytes in aging mice.Methods(1)Twenty male C57BL/6 mice were randomly divided into youth(4-month-old)group and aged(18-month-old)group(n=10).Mice in youth group were raised to 4 months of age and euthanized by orbital exsanguination under urethane anesthesia,while aged mice were euthanized at 18 months using the same sacrifice method.Epididymal white adipose tissue(eWAT)and liver tissue were rapidly dissected.Western blotting was employed to detect the protein expression levels of tumor suppressor gene 1(p16ink4a)and cyclin-dependent kinase inhibitor p21(p21kip1),RT-qPCR was used to measure the expression of 4 differentially expressed lncRNAs(C4a,AI662270,BATE1 and Gm29719).Mouse embryonic fibroblasts(3T3-L1)were cultured and divided into a normal control group(no treatment after induced differentiation into mature adipocytes)and a senescence model group[doxorubicin(ADR)-treated group;0.2 μmol/L ADR was used to induce senescent adipocytes].β-galactosidase staining was performed to assess adipocyte senescence.RT-qPCR was applied to evaluate the expression of AI662270 and senescence markers(p16ink4a,p21kip1,p53),while Western blotting was utilized to detect the expression levels of phosphorylated H2A histone family member X(γ-H2AX),p16ink4a,and p21kip1 proteins.(2)Hexokinase method was adopted to measure glucose content in mouse serum and 3T3-L1 adipocyte culture medium.RT-qPCR was performed to analyze mRNA expression levels of insulin sensitivity-related gene protein kinase B(Akt),insulin receptor substrate 1(IRS1),phosphatidylinositol 3 kinase(PI3K)and glucose transporter 4(GLUT4)in mouse eWAT and adipocytes.Western blotting was conducted to determine the protein expression levels of IRS 1,PI3K,Akt,and p-Akt.(3)Spearman correlation analysis was applied to examine the correlation between AI662270 expression levels and IRS1/PI3K mRNA expression levels.A low-expression model of AI662270 in senescent adipocytes was constructed,and RT-qPCR was used to verify the knockdown efficiency.Hexokinase method was employed to assess glucose content in the cell culture medium of senescent adipocytes after AI662270 knockdown.RT-qPCR was performed to measure the mRNA expressions of Akt,IRS1,IRS2,and PI3K,while Western blotting was utilized to detect the expressions levels of Akt and p-Akt proteins.(4)Bioinformatics analysis was performed to predict downstream target genes of AI662270 and their binding sites.RT-qPCR and Western blotting were subsequently applied to validate the expression of these downstream target genes following AI662270 knockdown.Results(1)Compared with youth group,the protein expression levels of p16ink4a and p21kip1 in eWAT of aged mice were significantly increased(P＜0.05).Additionally,the expression levels of C4a,AI662270,BATE1,and Gm29719 in both eWAT and liver tissues were significantly increased in aged group(P＜0.05).β-galactosidase staining revealed enhanced blue-green coloration and enlarged,flattened cellular morphology in ADR-treated senescent adipocytes compared with normal control group.Compared with normal control group,ADR-treated senescent adipocytes significantly increased the mRNA expression levels of AI662270,p16ink4a,and p21kip1,and significantly elevated protein expression levels of γ-H2AX,p16ink4a,and p21kip1(P＜0.05).(2)Serum glucose content was significantly higher in aged group mice compared with youth group(P＜0.01),and glucose content in the adipocyte culture medium in ADR group was significantly increased(P＜0.05).The expression levels of IRS1 and PI3K in eWAT in aged group were significantly reduced compared with youth group(P＜0.01).Compared with normal control group,the expression levels of IRS 1 and PI3K in adipocytes in ADR-treated group were also significantly reduced(P＜0.05).(3)Spearman correlation analysis demonstrated that the expression level of AI662270 was negatively correlated with the mRNA expression levels of IRS1 and PI3K(P＜0.05).RT-qPCR showed that AI662270 expression level was significantly reduced in the siAI662270-transfected senescent adipocytes compared with siNC group(P＜0.05),indicating the low expression model of aged adipocytes AI662270 was successfully constructed.Hexokinase assay results showed that glucose content in the cell culture medium was significantly reduced after the AI662270 was knocked down by senescent adipocytes(P＜0.05).Furthermore,the mRNA expression levels of IRS1,IRS2 and PI3K(P＜0.05)and the p-Akt/Akt ratio in senescent adipocytes was significantly increased after knockdown of AI662270(P＜0.01).(4)Bioinformatics analysis predicted miR-3073b-3p as a downstream target gene of AI662270,and heme oxygenase 1(Hmox1)was identified as a target molecule of miR-3073b-3p.The expression level of miR-3073b-3p in senescent adipocytes in siAI662270 group was significantly increased,while the mRNA and protein expression level of Hmox1 were significantly decreased compared with siNC group(P＜0.01).Conclusions Aging significantly increases the expression of AI662270 in eWAT of mice,and the expression of AI662270 was negatively correlated with insulin sensitivity.AI662270 knockdown can reduce glucose content in senescent adipocyte culture medium,upregulate the expression of IRS1 and PI3K,and increase insulin sensitivity in senescent adipocytes,which may be mediated through the AI662270/miR-3073b-3p/Hmox1 pathway.

Intravascular ultrasound(IVUS)is an ultrasound-based endovascular imaging technique,which has been widely used for the diagnosis and interventional treatment of coronary artery diseases.Intravascular ultrasound virtual histology(IVUS-VH)can qualitatively analyze the composition of intraarterial lesions according to the echo signal spectrum reflected by different pathological tissues,providing important reference information for cardiac and endovascular interventional procedures.In recent years,the application of IVUS-VH in lower extremity arterial revascularization has gradually attracted clinical attention.Especially,IVUS-VH may have certain value in predicting the prognosis.This article describes the application of IVUS-VH in lower extremity arterial revascularization,focusing on its value in predicting the prognosis.

This paper aimed to use non-targeted urine metabolomics to reveal the potential biomarkers of toxicity in rats with hepatic injury induced by aqueous extracts of Dictamni Cortex(ADC). Forty-eight SD rats were randomly assigned to a blank group and high-dose, medium-dose, and low-dose ADC groups, with 12 rats in each group(half male and half female), and they were administered orally for four weeks. The hepatic injury in SD rats was assessed by body weight, liver weight/index, biochemical index, L-glutathione(GSH), malondialdehyde(MDA), and pathological alterations. The qPCR was utilized to determine the expression of metabolic enzymes in the liver and inflammatory factors. Differential metabolites were screened using principal component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA), followed by a metabolic pathway analysis. The Mantel test was performed to assess differential metabolites and abnormally expressed biochemical indexes, obtaining potential biomarkers. The high-dose ADC group showed a decrease in body weight and an increase in liver weight and index, resulting in hepatic inflammatory cell infiltration and hepatic steatosis. In addition, this group showed elevated levels of MDA, cytochrome P450(CYP) 3A1, interleukin-1β(IL-1β), and tumor necrosis factor-α(TNF-α), as well as lower levels of alanine transaminase(ALT) and GSH. A total of 76 differential metabolites were screened from the blank and high-dose ADC groups, which were mainly involved in the pentose phosphate pathway, tryptophan metabolism, purine metabolism, pentose and glucuronic acid interconversion, galactose metabolism, glutathione metabolism, and other pathways. The Mantel test identified biomarkers of hepatotoxicity induced by ADC in SD rats, including glycineamideribotide, dIDP, and galactosylglycerol. In summary, ADC induced hepatotoxicity by disrupting glucose metabolism, ferroptosis, purine metabolism, and other pathways in rats, and glycineamideribotide, dIDP, and galactosylglycerol could be employed as the biomarkers of its toxicity.
Animals ; Male ; Rats, Sprague-Dawley ; Rats ; Metabolomics ; Biomarkers/metabolism* ; Liver/metabolism* ; Drugs, Chinese Herbal/adverse effects* ; Female ; Chemical and Drug Induced Liver Injury/metabolism* ; Glutathione/metabolism* ; Humans

Parkinson's disease(PD) is a neurodegenerative disorder characterized by the progressive degeneration of dopaminergic neurons in the substantia nigra and the accumulation of Lewy bodies. While conventional drugs like levodopa can improve early symptoms, their efficacy diminishes over time, and they may cause severe side effects. Traditional Chinese medicine(TCM), with its multi-target therapeutic approach, has shown unique advantages in PD treatment, particularly in slowing disease progression and improving clinical symptoms. The nuclear factor erythroid 2-related factor 2(Nrf2)/heme oxygenase-1(HO-1) signaling pathway plays a critical role in cellular antioxidation, anti-inflammation, and cellular repair mechanisms, which are crucial for neuroprotection against PD. Studies indicate that TCM regulates the Nrf2/HO-1 pathway to enhance neuronal antioxidative capacity, inhibit neuroinflammation, promote dopaminergic neuron repair and survival, and slow pathological progression. This review explores the neuroprotective role of the Nrf2/HO-1 pathway in PD patients, including alleviating oxidative stress, suppressing neuroinflammation, promoting neuronal repair, and regulating iron metabolism and autophagy. It also discusses the mechanisms by which TCM active ingredients(flavonoids, alkaloids, terpenes, saponins, polyphenols, etc.), single herbs(Cistanche deserticola, Uraria crinite, and Melissa officinalis, etc.), and formulas(Bushen Jianpi Decoction, Didang Decoction, and Gancao Yangyin Decoction, etc.) modulate the Nrf2/HO-1 pathway in PD treatment, providing a theoretical basis for the clinical application and new drug development of TCM in PD prevention and treatment.
Humans ; Parkinson Disease/genetics* ; NF-E2-Related Factor 2/genetics* ; Signal Transduction/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Animals ; Heme Oxygenase-1/genetics* ; Medicine, Chinese Traditional