OBJECTIVE To explore the mechanism of action of Qingre huatan huoxue decoction against atherosclerosis （AS）based on macrophage polarization. METHODS Using atorvastatin served as the positive control， the drug-containing serum of the Qingre huatan huoxue decoction was prepared to treat RAW264.7 macrophages. Macrophage viability， apoptosis rate， and the fluorescence intensities of CD86 and CD206 were measured， along with the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. Apolipoprotei n E-deficient （ApoE －/－ ） mice （AS model mice） fed with a high-fat diet were randomly assigned to model group， atorvastatin group （2.6 mg/kg）， and low-， medium- and high-dose groups of Qingre huatan huoxue decoction （90， 180， 360 mg/kg）， respectively. C57BL/6J mice fed with a standard diet served as the normal control group， with 10 mice per group. The treatment group mice were administered the corresponding drugs intragastrically， once daily， for 8 consecutive weeks. Serum levels of TNF-α and IL-1β were measured in all groups. Lipid deposition in the aorta （assessed by the percentage of plaque in the entire aorta and aortic root） and morphological changes in the aortic root were observed. Expression levels of CD86 and CD206 in aortic tissue， as well as the protein expression levels of inducible nitric oxide synthase （iNOS）， arginase-1 （Arg-1）， AMP-activated protein kinase （AMPK）， phosphorylated AMPK （p-AMPK）， and peroxisome proliferator-activated receptor γ （PPAR-γ） in aortic tissues were all detected. RESULTS Cell experiment results showed that， at concentrations of 5-100 μg/mL， the drug-containing serum of the Qingre huatan huoxue decoction significantly increased RAW264.7 cell viability （ P ＜0.05）. The drug-containing serum of the Qingre huatan huoxue decoction at concentrations of 10， 50， and 100 μg/mL， along with atorvastatin， significantly reduced apoptosis rates， CD86 fluorescence intensity， and TNF-α and IL-1β levels in RAW264.7 cells， while markedly enhancing CD206 fluorescence intensity （ P ＜0.05）. Animal experiment results showed that， compared with the model group， all dosage groups of Qingre huatan huoxue decoction and the atorvastatin group showed significantly reduced/down-regulated levels of TNF-α and IL-1β in serum， along with decreased aortic total and root plaque percentages， CD86 expression， and iNOS protein expression. CD206 expression and Arg-1， p-AMPK/AMPK， PPAR-γ protein expression were significantly up-regulated （ P ＜0.05）. Pathological morphology of the aorta showed varying degrees of improvement. CONCLUSIONS The formula of Qingre huatan huoxue decoction exerts its anti-AS effects by regulating macrophage polarization， increasing the proportion of M2 macrophages， thereby effectively inhibiting AS plaque formation and reducing inflammatory responses.

With the growing awareness of public health, the value and importance of traditional Chinese medicine(TCM) resources have become increasingly prominent. Despite the undeniable significance of TCM in medical treatment and healthcare, the protection, development, and utilization of TCM resources still face numerous challenges. Under the traditional model, the development and utilization of TCM resources heavily rely on manual labor and empirical decision-making, which not only leads to inefficiencies and high costs but also causes serious issues such as unstable drug quality and imbalances in market supply and demand. In the current era of rapid advancements in artificial intelligence(AI) and technology, AI has emerged as a new engine to address many challenges and difficulties throughout the entire TCM resource industry chain. By leveraging AI technology, intelligent management, precise production, and optimized utilization of TCM resources can be achieved, thereby improving efficiency, reducing costs, ensuring stable quality, and balancing market supply and demand. This article primarily explores the application of AI technology in the entire TCM resource industry chain from different perspectives and provides an in-depth analysis of the future development of AI in the TCM industry. It holds significant importance and value in promoting the intelligent development of the TCM sector and facilitating the healthy development of the entire TCM resource industry chain.
Artificial Intelligence ; Medicine, Chinese Traditional/economics* ; Humans ; Drugs, Chinese Herbal/economics* ; Drug Industry

Kidney-Yang deficiency syndrome is a common geriatric disease that underlies chronic conditions such as diabetic nephropathy, chronic kidney disease, and osteoporosis. As age progresses, the kidney-Yang deficiency syndrome showcases increasingly pronounced manifestations, emerging as a key factor in the comorbidities experienced by elderly patients and affecting their quality of life and overall health status. Traditional Chinese medicine(TCM) has been extensively utilized in the treatment of kidney-Yang deficiency syndrome, with Epimedii Folium, Cinnamomi Cortex, and Lycii Fructus widely used in clinical settings. Despite the complexity of the molecular mechanisms involved in treating kidney-Yang deficiency syndrome, the potential therapeutic value of TCM remains compelling. Delving into the mechanisms of TCM treatment of kidney-Yang deficiency syndrome by regulating the neuro-endocrine-immune system can provide a scientific basis for targeted treatments of this syndrome and lay a foundation for the modernization of TCM. The pathophysiology of kidney-Yang deficiency syndrome involves multiple systems, including the interaction of the neuro-endocrine-immune system, the decline in renal function, the intensification of oxidative stress responses, and energy metabolism disorders. Understanding these mechanisms and their interrelationships can help untangle the etiology of kidney-Yang deficiency syndrome, aiding clinicians in making more precise diagnoses and treatments. Furthermore, the research on the specific applications of TCM in research on these pathological mechanisms can enhance the international recognition and status of TCM, enabling it to exert a greater global influence.
Humans ; Yang Deficiency/physiopathology* ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Kidney Diseases/physiopathology* ; Neurosecretory Systems/physiopathology* ; Animals ; Kidney/physiopathology* ; Endocrine System/physiopathology* ; Immune System/physiopathology*

The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Drug toxicity is closely related to both clinical drug safety and new drug development. Therefore, it is vital to understand the mechanisms of drug toxicity fully and to use appropriate research models with advanced technologies. Zebrafish has become an important vertebrate animal model for high-throughput drug screening and toxicity assessment. At the same time, zebrafish has an intact biological complexity, reflecting the whole organism's toxicity, which gives it an advantage over other high-throughput models in toxicity studies. Despite the gradual increase in toxicity studies utilizing zebrafish, a comprehensive and systematic review of the underlying mechanisms and new techniques is still lacking. This review aims to analyze common toxicity mechanisms in zebrafish models, such as oxidative stress, endoplasmic reticulum stress, inflammation, and apoptosis, and macroscopic changes in biological processes like lipid metabolism disorders and neurotransmitter expression abnormalities. It also introduces new technologies applied in toxicity assessment, such as gene editing, novel fluorescence imaging technology, 3D imaging technology, and novel automated technology for high-throughput screening, such as fish capsules. In addition, it also summarizes the advantages and disadvantages of the model. By doing so, it will provide new suggestions for the development and improvement of the model, make it better serve the toxicity study of clinical drugs and provide a more comprehensive perspective for drug toxicity study, thus promoting the development of the field of drug toxicity study.

ObjectiveTo evaluate the levels of physical exercise, mental health and social response in children with autism spectrum disorder (ASD), and explore the mediating effect of social response on physical exercise and mental health. MethodsFrom September, 2019 to April, 2024, 211 children with ASD from three special education schools in Haidian District and Shijingshan District of Beijing were selected. They were assessed with general data questionnaire, Physical Activity Rating Scale (PARS-3), Chinese version of Psycho-Educational Profile (C-PEP) and Social Response Scale-Short Form (SRS-SF). The correlation among physical exercise, mental health and social response was analyzed. The mediating effect of social response on physical exercise and mental health was explored. ResultsThe average physical exercise level was (58.72±3.34), the average mental health level was (14.85±1.67), and the average social response level was (24.98±3.79). Physical exercise was positively correlated with mental health (r = 0.546, P < 0.05) and negatively correlated with social response (r = -0.298, P < 0.05). Mental health was negatively correlated with social response (r = -0.397, P < 0.05). Average monthly family income, parental relationship, repeated transcranial magnetic stimulation therapy, physical exercise, social response were the influencing factors of mental health (P < 0.05). Social response was intermediary between physical exercise and mental health, accounting for 14.56%. ConclusionThe mental health level of children with ASD is poor, and there are many influencing factors. Physical exercise can directly affect the mental health of children with ASD, and can also play an indirect role through social response.

Emergence agitation （EA） is a common complication after general anesthesia， especially in children and adolescents. Remifentanil， as a short-acting μ-receptor agonist， has become an important drug for the prevention and treatment of EA due to its rapid recovery and low risk of respiratory depression. This article reviews the mechanism of action and clinical research progress of remifentanil in the prevention and treatment of EA. Its mechanism of action involves the inhibition of pain signals mediated by traditional μ-receptor activation and potential new mechanism based on neural-endocrine-immune network， including regulation of microglial inflammatory pathways， and the modulation of cytokines and chemokines，etc. Clinical studies have shown that remifentanil can significantly shorten the recovery time， reduce the incidence of EA， and further optimize the analgesic effect and recovery quality by combining with other drugs （such as local anesthetics， sedatives， and opioid drugs）. Future research should further explore the mechanism of action of remifentanil， optimize clinical treatment strategies， and conduct large- scale clinical trials to standardize the drug use plan， while paying attention to its long-term effects and the development of multimodal treatment plans to promote the further development of EA prevention and treatment plans.

Ulcerative colitis （UC）， a chronic， non-specific inflammatory bowel disease with typical symptoms such as abdominal pain， diarrhea， and bloody stools， demonstrates a high relapse rate and difficulty in curing. Sishenwan， first recorded in Internal Medicine Abstract （Nei Ke Zhai Yao）， are a classic prescription for treating diarrhea caused by deficiency of the spleen and kidney Yang. The core therapeutic principle of Sishenwan is warming and tonifying the spleen and kidney， and astringing the intestine and stopping diarrhea. In recent years， Sishenwan have demonstrated distinct advantages in the clinical treatment of UC. The pathogenesis of UC involves multiple factors， including immune dysregulation and gut microbiota imbalance. Although Western medicine is effective in the short term， its side effects， high relapse rate， and resistance associated with long-term use pose substantial challenges. Sishenwan have shown excellent clinical outcomes in the treatment of UC due to deficiency of the spleen and kidney Yang. Modern clinical studies indicate that Sishenwan， used alone or in combination with Western medicine or other Chinese medicine compound prescriptions， significantly improve the clinical efficacy in treating UC due to deficiency of the spleen and kidney Yang. Sishenwan effectively alleviate core symptoms such as mucus， pus， and blood in stools， and persistent abdominal pain， reduce Mayo scores and the relapse rate， and improve patients' quality of life. Research on the material basis reveals that Sishenwan contain multiple active ingredients such as psoralen， isopsoralen， and evodiamine. Mechanism studies indicate that Sishenwan inhibit the inflammatory cascade reactions by regulating the signal network through multiple targets. Sishenwan regulate cellular immunity and restore intestinal immune homeostasis. At the microecological level， Sishenwan promote the intestinal barrier repair through the "microbiota-metabolism-immunity" axis. The current research still needs to be deepened in aspects such as the mining of specific biomarkers for syndromes and the exploration of the collaborative mechanism of traditional Chinese and Western medicine. In the future， a full-chain system covering syndrome differentiation， targeting， and monitoring needs to be constructed for promoting the paradigm transformation of Sishenwan into precision drugs. This review systematically explains the treatment mechanism of Sishenwan regarding the combination of disease and syndrome and its multi-target regulatory characteristics， providing a theoretical basis and transformation direction for the treatment of UC with integrated traditional Chinese and Western medicine.

Ulcerative colitis （UC）， a chronic， non-specific inflammatory bowel disease with typical symptoms such as abdominal pain， diarrhea， and bloody stools， demonstrates a high relapse rate and difficulty in curing. Sishenwan， first recorded in Internal Medicine Abstract （Nei Ke Zhai Yao）， are a classic prescription for treating diarrhea caused by deficiency of the spleen and kidney Yang. The core therapeutic principle of Sishenwan is warming and tonifying the spleen and kidney， and astringing the intestine and stopping diarrhea. In recent years， Sishenwan have demonstrated distinct advantages in the clinical treatment of UC. The pathogenesis of UC involves multiple factors， including immune dysregulation and gut microbiota imbalance. Although Western medicine is effective in the short term， its side effects， high relapse rate， and resistance associated with long-term use pose substantial challenges. Sishenwan have shown excellent clinical outcomes in the treatment of UC due to deficiency of the spleen and kidney Yang. Modern clinical studies indicate that Sishenwan， used alone or in combination with Western medicine or other Chinese medicine compound prescriptions， significantly improve the clinical efficacy in treating UC due to deficiency of the spleen and kidney Yang. Sishenwan effectively alleviate core symptoms such as mucus， pus， and blood in stools， and persistent abdominal pain， reduce Mayo scores and the relapse rate， and improve patients' quality of life. Research on the material basis reveals that Sishenwan contain multiple active ingredients such as psoralen， isopsoralen， and evodiamine. Mechanism studies indicate that Sishenwan inhibit the inflammatory cascade reactions by regulating the signal network through multiple targets. Sishenwan regulate cellular immunity and restore intestinal immune homeostasis. At the microecological level， Sishenwan promote the intestinal barrier repair through the "microbiota-metabolism-immunity" axis. The current research still needs to be deepened in aspects such as the mining of specific biomarkers for syndromes and the exploration of the collaborative mechanism of traditional Chinese and Western medicine. In the future， a full-chain system covering syndrome differentiation， targeting， and monitoring needs to be constructed for promoting the paradigm transformation of Sishenwan into precision drugs. This review systematically explains the treatment mechanism of Sishenwan regarding the combination of disease and syndrome and its multi-target regulatory characteristics， providing a theoretical basis and transformation direction for the treatment of UC with integrated traditional Chinese and Western medicine.