Narrative medicine focuses on empathy， relevance， and emotion， precisely aligning with the elements of “clown doctor” such as compassion， interaction， and pain relief. From the perspective of narrative medicine， the practice of “clown doctors” not only focuses on the emotional changes of patients but also enhances their sense of belonging by recreating their experiences. The key element for the success of “clown doctors” lies in establishing a multi-dimensional trust relationship among medical workers， patients， colleagues， and society， while ensuring their practice adheres to medical ethics norms. “Clown doctors” should concentrate on dimensions such as concept dissemination， clinical application， social recognition， and ethical practice of narrative medicine. They should also constantly optimize narrative techniques， deepen the understanding of patients’ stories， and intervene in the medical process in a more delicate and comprehensive way， thereby fostering in-depth communication and understanding between doctors and patients.

In recent years， with the extensive application of traditional Chinese medicine （TCM） both domestically and internationally， safety concerns associated with TCM have been frequently reported. Notably， some TCM substances traditionally regarded as ''non-toxic'' have exhibited significant adverse reactions during clinical use， drawing substantial attention to TCM safety. This study first analyzed the risk factors contributing to the potential toxicity of TCM from perspectives such as drug properties， individual constitution， and clinical medication practices. Subsequently， it proposed research strategies and methodologies for investigating potential TCM toxicity： ① conduct studies under the guidance of TCM theory， adhering to the principle of diversity and unity. ② adopt an integrated research paradigm of ''originating from clinical practice-syndrome-based foundation-returning to clinical practice-serving supervision''. ③ implement a three-tier technical system of ''Mathematical modeling-high-throughput screening via liquid chromatography-mass spectrometry （LC-MS）-systems biology'' to systematically elucidate the causes， material basis， and mechanisms of toxicity. Finally， scientific regulatory recommendations for potential TCM toxicity are proposed： ① establish a multidimensional prevention and control system addressing drug properties， physical constitution factors， and clinical medication practices. ② address the impact of modern processing techniques on the safety of new TCM drugs. ③ strengthen the revision of standards for Chinese medicinal materials to ensure their safety. ④ account for disease-syndrome combination animal models and interspecies differences in safety assessment outcomes. This study aims to overcome critical challenges in TCM regulation by advancing evaluation through research and driving research through evaluation. By establishing a high-level scientific regulatory framework， it seeks to not only safeguard clinical medication safety but also propel the high-quality development of the TCM industry， thereby providing scientific support for the inheritance and innovative evolution of TCM.

In recent years， with the extensive application of traditional Chinese medicine （TCM） both domestically and internationally， safety concerns associated with TCM have been frequently reported. Notably， some TCM substances traditionally regarded as ''non-toxic'' have exhibited significant adverse reactions during clinical use， drawing substantial attention to TCM safety. This study first analyzed the risk factors contributing to the potential toxicity of TCM from perspectives such as drug properties， individual constitution， and clinical medication practices. Subsequently， it proposed research strategies and methodologies for investigating potential TCM toxicity： ① conduct studies under the guidance of TCM theory， adhering to the principle of diversity and unity. ② adopt an integrated research paradigm of ''originating from clinical practice-syndrome-based foundation-returning to clinical practice-serving supervision''. ③ implement a three-tier technical system of ''Mathematical modeling-high-throughput screening via liquid chromatography-mass spectrometry （LC-MS）-systems biology'' to systematically elucidate the causes， material basis， and mechanisms of toxicity. Finally， scientific regulatory recommendations for potential TCM toxicity are proposed： ① establish a multidimensional prevention and control system addressing drug properties， physical constitution factors， and clinical medication practices. ② address the impact of modern processing techniques on the safety of new TCM drugs. ③ strengthen the revision of standards for Chinese medicinal materials to ensure their safety. ④ account for disease-syndrome combination animal models and interspecies differences in safety assessment outcomes. This study aims to overcome critical challenges in TCM regulation by advancing evaluation through research and driving research through evaluation. By establishing a high-level scientific regulatory framework， it seeks to not only safeguard clinical medication safety but also propel the high-quality development of the TCM industry， thereby providing scientific support for the inheritance and innovative evolution of TCM.

Objective To determine the molecular mechanism of Yuchang granule (YCG) against ulcerative colitis （UC） by network pharmacology-based approach combined with molecular docking. Methods TCMSP and HIT database were utilized to search the active components and potential targets of YCG. The effective targets of UC were obtained by GeneCards, CTD, and DisGeNET databases. Venn Diagram was exploited to receive common targets of YCG and UC. Network maps of the TCM of YCG-active component-common targets were constructed by the Cytoscape software to gain key active components. Protein-protein interaction （PPI） of common targets was constructed by the STRING database obtaining core common targets. The mechanism and therapeutic effects of YCG on UC were explored via gene ontology （GO） and the biological pathway （KEGG） enrichment analyses. Molecular docking technology was carried out to verify the combination of core active components with key common targets. Results 98 active components and 237 potential targets were sieved from YCG, and 1061 effective targets were screened from UC. 94 common targets of YCG and UC were regarded as potential therapeutic targets. Bioinformatics analysis revealed that quercetin, luteolin, β-quebrachol, stigmasterol, and kaempferol may be the potential candidate agents. Tumor necrosis factor （TNF）, serine/threonine-protein kinase （AKT1）, tumor protein p53 （TP53）, interleukin-6 （IL-6） and IL-1β could become potential therapeutic targets. KEGG showed pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, TNF signaling pathway, and IL-17 signaling pathway might play an important role in YCG against UC. Molecular docking results showed that quercetin combined well with TNF, AKT1, and TP53. And stigmasterol did well with AKT1. Conclusion This study comprehensively illustrated the potential candidate agents, potential therapeutic targets, and pathways of YCG against UC. It also illustrated that YCG could act on multiple targets through multi-pathway treating UC.

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

Chronic diabetic wounds, severely complicated by multidrug-resistant (MDR) bacterial infections, represent a profound and escalating global health crisis. The intrinsically hostile microenvironment of diabetic wounds, characterized by localized hypoxia, persistent oxidative stress, and poor vascularization, creates an ideal niche for opportunistic pathogens such as Staphylococcus aureus and Pseudomonas aeruginosa. These bacteria readily construct dense extracellular polymeric substance (EPS) biofilms, which not only physically shield the microbes from host immune responses but also actively trap the wound in a state of chronic, unresolved inflammation. Consequently, conventional systemic and topical antibiotic therapies are becoming increasingly futile, as poor perfusion at the wound site restricts drug bioavailability, while the rapid genetic evolution of bacteria and the impenetrable nature of biofilms lead to catastrophic treatment failures, often culminating in severe tissue necrosis and lower-extremity amputations. To circumvent the limitations of traditional antimicrobials, therapeutic gas delivery has emerged as a highly promising, paradigm-shifting strategy. Gaseous signaling molecules, particularly nitric oxide (NO), carbon monoxide (CO), hydrogen sulfide (H₂S), and hydrogen (H₂), possess unique physicochemical properties that allow them to seamlessly penetrate dense biofilm matrices and cellular membranes. Once inside, these gases operate via multi-targeted mechanisms that are incredibly difficult for bacteria to develop resistance against; for instance, NO induces severe lipid peroxidation and DNA cleavage in bacteria, CO downregulates pro-inflammatory cytokines, H₂S significantly accelerates endothelial cell migration for neovascularization, and H₂ acts as a powerful selective antioxidant to neutralize tissue-damaging reactive oxygen species (ROS). Together, these therapeutic gases not only exert broad-spectrum bactericidal effects but also actively reprogram the wound bed by promoting the critical M1-to-M2 macrophage polarization and stimulating angiogenesis. Despite their immense biological potential, the direct clinical translation of gas therapies is severely hindered by inherent physicochemical drawbacks, including extreme volatility, short physiological half-lives, poor aqueous solubility, and the high risk of off-target systemic toxicity, if applied indiscriminately. To conquer these immense pharmacokinetic barriers, cutting-edge advancements in materials science have driven the development of gas-releasing micro- and nanoplatforms. Utilizing sophisticated carriers such as metal-organic frameworks (MOFs), mesoporous silica, polymeric nanoparticles, liposomes, and injectable hydrogels, researchers can now encapsulate gas-donor molecules to achieve sustained, localized delivery. More importantly, these advanced nanoplatforms are ingeniously engineered to be stimuli-responsive. By exploiting the pathological hallmarks of the diabetic wound environment, such as elevated glucose concentrations, acidic pH, and overexpressed ROS, or by utilizing external triggers like near-infrared (NIR) light irradiation and ultrasound, these intelligent platforms ensure on-demand, precise spatio-temporal gas release. This often allows for powerful synergistic combinations, such as photothermal or photodynamic therapy coupled with gas release, thereby obliterating biofilms while sparing healthy tissue. While the therapeutic outcomes of these smart delivery systems in eradicating MDR infections and accelerating tissue repair are unprecedented, several critical challenges remain before widespread clinical adoption, as long-term biosafety profiles of the carrier nanomaterials, complexities in large-scale good manufacturing practice (GMP) production, and stringent regulatory hurdles must be rigorously addressed. Looking forward, the next frontier lies in the realm of precision medicine and theranostics, where future research must focus on the seamless integration of these gas-releasing platforms with flexible, wearable biosensors capable of continuously monitoring wound biomarkers (e.g., pH, temperature, uric acid) in real-time. Coupled with artificial intelligence algorithms to govern automated, closed-loop adaptive dosing, these next-generation smart dressings hold the ultimate potential to comprehensively transform the clinical management of complex, infected diabetic wounds.

Objective Magnetoreception, the remarkable ability of diverse animals to sense and utilize the geomagnetic field for orientation and navigation, remains a molecularly unresolved mystery in sensory biology. The putative magnetoreceptor (MagR, previously known as IscA1) is a highly conserved iron-sulfur protein implicated in both magnetoreception and iron metabolism; however, the functional diversity among its cross-species homologs remains poorly understood. Cellular morphology is a key genetically determined trait that can be altered through genetic or environmental modifications—a process known as cell morphology engineering. Constructing engineered cells with specific morphological features and magnetic sensitivity to achieve remote, non-invasive magnetic modulation represents a crucial goal in this field with significant application potential. Therefore, this study aims to systematically investigate the effects of MagR heterologous expression on bacterial morphology and magnetic sensing capabilities, screen for MagR-based magnetically sensitive morphology engineering pathways, and reveal the underlying molecular mechanisms. Methods We systematically screened 28 MagR homologous genes from diverse prokaryotic and animal taxa to evaluate their expression and corresponding phenotypic effects in Escherichia coli (E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.

Objective To summarize the clinical characteristics and analyze prognostic factors of neuroblastoma (NB) in infants (≤12 months) at a single center. Methods A retrospective analysis was conducted on the clinical data of infant patients (≤12 months) diagnosed with NB and treated between January 2014 and December 2022. Clinical features were analyzed, and comparisons between two sample rates were performed using the χ² test. Univariate prognostic analysis was conducted using the log-rank test, and survival outcomes were analyzed using the Kaplan-Meier method. Results A total of 42 infants (≤12 months) with NB were enrolled. Low-risk patients underwent surgical resection alone; intermediate-risk patients received surgery combined with chemotherapy with or without maintenance therapy; high-risk patients were treated with surgery and chemotherapy with or without maintenance therapy or radiotherapy. The 5-year event-free survival (EFS) rate was (92.7±4.9)%, and the 5-year overall survival rate was (95.2±3.6)%. Only two patients died because of tumor recurrence or progression. Univariate analysis identified MYCN amplification and the initial lactate dehydrogenase (LDH) level ≥ five times the upper limit of the normal were significantly associated with poor prognosis (5-year EFS: 33.3% vs. 97.4% and 60.0% vs. 97.3%, P<0.0001 and P=0.0035). Conclusion Infant NB has a favorable overall prognosis. MYCN amplification and markedly elevated initial LDH are associated with poor outcomes.

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

Chronic diabetic wounds, severely complicated by multidrug-resistant (MDR) bacterial infections, represent a profound and escalating global health crisis. The intrinsically hostile microenvironment of diabetic wounds, characterized by localized hypoxia, persistent oxidative stress, and poor vascularization, creates an ideal niche for opportunistic pathogens such as Staphylococcus aureus and Pseudomonas aeruginosa. These bacteria readily construct dense extracellular polymeric substance (EPS) biofilms, which not only physically shield the microbes from host immune responses but also actively trap the wound in a state of chronic, unresolved inflammation. Consequently, conventional systemic and topical antibiotic therapies are becoming increasingly futile, as poor perfusion at the wound site restricts drug bioavailability, while the rapid genetic evolution of bacteria and the impenetrable nature of biofilms lead to catastrophic treatment failures, often culminating in severe tissue necrosis and lower-extremity amputations. To circumvent the limitations of traditional antimicrobials, therapeutic gas delivery has emerged as a highly promising, paradigm-shifting strategy. Gaseous signaling molecules, particularly nitric oxide (NO), carbon monoxide (CO), hydrogen sulfide (H₂S), and hydrogen (H₂), possess unique physicochemical properties that allow them to seamlessly penetrate dense biofilm matrices and cellular membranes. Once inside, these gases operate via multi-targeted mechanisms that are incredibly difficult for bacteria to develop resistance against; for instance, NO induces severe lipid peroxidation and DNA cleavage in bacteria, CO downregulates pro-inflammatory cytokines, H₂S significantly accelerates endothelial cell migration for neovascularization, and H₂ acts as a powerful selective antioxidant to neutralize tissue-damaging reactive oxygen species (ROS). Together, these therapeutic gases not only exert broad-spectrum bactericidal effects but also actively reprogram the wound bed by promoting the critical M1-to-M2 macrophage polarization and stimulating angiogenesis. Despite their immense biological potential, the direct clinical translation of gas therapies is severely hindered by inherent physicochemical drawbacks, including extreme volatility, short physiological half-lives, poor aqueous solubility, and the high risk of off-target systemic toxicity, if applied indiscriminately. To conquer these immense pharmacokinetic barriers, cutting-edge advancements in materials science have driven the development of gas-releasing micro- and nanoplatforms. Utilizing sophisticated carriers such as metal-organic frameworks (MOFs), mesoporous silica, polymeric nanoparticles, liposomes, and injectable hydrogels, researchers can now encapsulate gas-donor molecules to achieve sustained, localized delivery. More importantly, these advanced nanoplatforms are ingeniously engineered to be stimuli-responsive. By exploiting the pathological hallmarks of the diabetic wound environment, such as elevated glucose concentrations, acidic pH, and overexpressed ROS, or by utilizing external triggers like near-infrared (NIR) light irradiation and ultrasound, these intelligent platforms ensure on-demand, precise spatio-temporal gas release. This often allows for powerful synergistic combinations, such as photothermal or photodynamic therapy coupled with gas release, thereby obliterating biofilms while sparing healthy tissue. While the therapeutic outcomes of these smart delivery systems in eradicating MDR infections and accelerating tissue repair are unprecedented, several critical challenges remain before widespread clinical adoption, as long-term biosafety profiles of the carrier nanomaterials, complexities in large-scale good manufacturing practice (GMP) production, and stringent regulatory hurdles must be rigorously addressed. Looking forward, the next frontier lies in the realm of precision medicine and theranostics, where future research must focus on the seamless integration of these gas-releasing platforms with flexible, wearable biosensors capable of continuously monitoring wound biomarkers (e.g., pH, temperature, uric acid) in real-time. Coupled with artificial intelligence algorithms to govern automated, closed-loop adaptive dosing, these next-generation smart dressings hold the ultimate potential to comprehensively transform the clinical management of complex, infected diabetic wounds.