Attention deficit and hyperactive disorder （ADHD） is the most common neurodevelopmental disorder of childhood. It seriously impairs academic achievement， social interaction， and vocational development， and increases the risk of accidental injury and substance abuse. In some cases， the symptoms may also exert an indirect disruptive effect on public order. Its aetiology involves interactions among genetic， perinatal environmental， and psychosocial factors that cannot be fully disentangled by single clinical studies. Therefore， a systematic evaluation of existing animal models is essential for revealing pathophysiology and developing novel therapies. Using the keywords "attention deficit and hyperactive disorder"， "models， animal"， "validity"， and their English equivalents， we systematically searched PubMed， Web of Science， CNKI， and Wanfang for publications from 2000 to 2025 （retrieving 328 publications） and added further references by citation tracking. Eighty-six rodent ADHD models that provided detailed construction protocols， behavioural assessments， neurobiological mechanisms， or pharmacological data were included and classified into spontaneous genetic， genetically engineered， and environmentally induced paradigms. Their face， construct， and predictive validity were compared. Among spontaneous genetic models， spontaneously hypertensive rats reproduce hyperactivity， impulsivity， and stimulant responses well， yet hypertension and sex differences limit specificity. Acallosal mouse strains link corpus callosum absence to ADHD-like behaviours， but neurotransmitter studies remain scarce. Genetically engineered rodents—including dopamine transporter， neurokinin-1 receptor and mediator complex subunit 23 knockout or conditional gene knockout lines—precisely dissect dopaminergic， noradrenergic， synaptic， or epigenetic pathways， yet generally lack full phenotypic coverage， social-deficit modelling， and comorbidity representation， and are accompanied by adverse effects such as growth retardation or ocular defects. Environmentally induced models employ lead， polychlorinated biphenyls， alcohol， nicotine exposures， 6-hydroxydopamine lesions， neonatal hypoxia， early social isolation， or maternal stress to recapitulate core symptoms. However， dose-schedule standardisation is lacking. Behavioural reversibility diverges from clinical persistence， and non-specific phenotypes such as anxiety or depression are common. Overall， no single paradigm simultaneously achieves high validity across all three dimensions. Currently， ADHD models have progressed from single-factor simulations to multidimensional evaluation， yet significant gaps remain in genetic-background standardisation， sex differences， cross-species translation， and syndrome-differentiation modelling under traditional Chinese medicine. Future directions should integrate genetic， environmental， and epigenetic interactions， establish life-span validation systems， and incorporate computational neuroscience alongside integrative Chinese-Western strategies to enhance clinical relevance and translational utility， thereby providing robust evidence-based support for mechanistic elucidation， drug screening and precision intervention in ADHD.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Parkinson's disease （PD） is a common neurodegenerative disorder characterized by motor impairments， with its pathological mechanisms involving multiple processes such as the degeneration of dopaminergic neurons and the abnormal aggregation of α-synuclein. Current Western medical treatments face challenges including diminished long-term efficacy and motor complications. In recent years， Traditional Chinese Medicine （TCM） has demonstrated advantages in the prevention and treatment of PD through its systematic regulatory capabilities， featuring multi-component， multi-target， and multi-pathway approaches.This article systematically reviews the roles of seven key signaling pathways-NF-κB， AMPK/mTOR， PI3K/Akt， MAPKs， Nrf2/ARE， Wnt/β-catenin， and BDNF/TrkB-in the pathological process of PD and the regulatory mechanisms of TCM. Research indicates that active ingredients of Chinese herbs and compound formulations can synergistically modulate these pathways， exerting comprehensive effects in inhibiting neuroinflammation， alleviating oxidative stress， promoting autophagy to clear abnormal proteins， and enhancing neurotrophic support. These signaling pathways form a complex regulatory network through crosstalk among key nodal molecules， constituting an intricate regulatory system in PD pathology. The multi-target intervention characteristics of TCM align well with this network-based regulatory requirement， achieving integrated anti-inflammatory， antioxidant， autophagy-regulating， and neurorestorative effects through synergistic multi-pathway modulation. This article systematically outlines the mechanisms of TCM in the coordinated regulation of multiple pathways， providing a theoretical basis for elucidating the pathological process of PD and the intervention mechanisms of TCM， while also offering new perspectives and directions for modern research on TCM in the prevention and treatment of PD.

This study establishes an integrated research paradigm based on traditional Chinese medicine （TCM） theory， guided by pathological characteristics， centered on formula compatibility principles， and supported by multidisciplinary technologies， to systematically analyze the mechanisms of hepatotoxicity induced by toxic Chinese herbal medicinals and strategies for reducing toxicity through compatibility. The findings revealed that the pathomechanism aligns closely with the "liver aversion to acute irritation" theory from Inner Canon of Yellow Emperor （《黄帝内经》）. The core pathology involves an imbalance between liver's form and function， which is characterized by malnourishment of liver form due to yin-blood depletion and dysfunction in ascending-dispersing and free-flowing activities， and closely linked to modern pathological mechanisms such as microcirculatory disturbances， oxidative stress， inflammatory response， metabolic disorder and gut-liver axis dysregulation. Based on this， a multi-layered compatibility strategy for toxicity reduction is put forward， which involves using sweet medicinals to alleviate urgency， balancing the liver form and its function， and pre-regulating other organs. This provides a theoretical basis for the safe application of toxic Chinese herbal medicinals.

By reviewing the physical biological research on the activation of acupoint effects by acupuncture， this paper explains the activation mechanism from the perspective of the generation and transmission of mechanical signals caused by acupuncture， and reveals the physical-chemical coupling processes in the acupoint microenvironment. Future research should focus on locally mechanosensitive cells， further exploring how acupuncture mechanical signals trigger dynamic changes in cells and molecules in the acupoints， and the physical-chemical information transduction mechanism， which will provide scientific evidence for the acupoint activation during acupuncture. Related studies will contribute to a deeper understanding of the scientific principles behind acupuncture and promote its clinical application and development.

Objective To explore the application of artificial intelligence (AI) in the standardized training of thoracic surgery residents, specifically in enhancing clinical skills and anatomical understanding through AI-assisted lung nodule identification and lung segment anatomy teaching. Methods Thoracic surgery residents undergoing standardized training at Peking Union Medical College Hospital from September 2023 to September 2024 were selected. They were randomly assigned to a trial group and a control group using a random number table. The trial group used AI-assisted three-dimensional reconstruction technology for lung nodule identification, while the control group used conventional chest CT images. After basic teaching and self-practice, the ability to identify lung nodules on the same patient CT images was evaluated, and feedback was collected through questionnaires. Results A total of 72 residents participated in the study, including 30 (41.7%) males and 42 (58.3%) females, with an average age of (24.0±3.0) years. The trial group showed significantly better overall diagnostic accuracy for lung nodules (91.9% vs. 73.3%) and lung segment identification (100.0% vs. 83.70%) compared to the control group, and the reading time was significantly shorter [ (118.5±10.5) s vs. (332.1±20.2) s, P<0.01]. Questionnaire results indicated that 94.4% of the residents had a positive attitude toward AI technology, and 91.7% believed that it improved diagnostic accuracy. Conclusion AI-assisted teaching significantly improves thoracic surgery residents’ ability to read images and clinical thinking, providing a new direction for the reform of standardized training.

Objective To investigate the current research status of ferroptosis in Parkinson disease in recent years. Methods CiteSpace was used to perform bibliometric and visual analyses of the articles on the mechanism of action of ferroptosis in Parkinson disease and related prevention and treatment measures in CNKI and Web of Science （WoS）. Results A total of 92 articles from CNKI and 273 articles from WoS were included in this study. There was a tendency of increase in the number of articles published in China and globally. In CNKI， the keywords of ferroptosis， Parkinson's disease， oxidative stress， and traditional Chinese medicine were cited for many times， while in WoS， activation， cell death， alpha-synuclein， and Parkinson disease were cited for many times. There were 7 clusters of keywords in CNKI and 12 clusters in WoS. The top 5 authors （teams） in terms of the number of publications in CNKI were Yang Xinling； Zhang Lijie； Li Shaodan； Hao Mengdie； and Lu Ranran， while the top 5 authors （teams） in WoS were Ayton， Scott； Zhu， Meiling； Qu， Le； Devos， David； and Xie， Junxia. The number of team members in China was lower than that in foreign countries， mainly small team cooperation. As for the number of articles published by institutional cooperation， Qingdao University published the highest number of articles in CNKI， while the University of Melbourne published the highest number of articles in WoS. Biochemistry was the subject with the highest frequency， and there were intersections between disciplines. China was the core representative of state cooperation with the highest frequency. Conclusion The research on the association between Parkinson disease and ferroptosis mainly focuses on oxidative stress， neuroprotection， traditional Chinese medicine， and neuroinflammation， among which neuroprotection and neuroinflammation are the latest trends for development. Therefore， there may be more targeted therapies for neuroinflammation and therapies that stimulate neuroprotection in the future to alleviate pain and improve the quality of life of patients.
Parkinson Disease

This paper analyzed the traditional Chinese medicine （TCM） and western medical understanding of coronary microvascular disease （CMVD） from the three dimensions of "disease-syndrome-symptom". In western medicine， by summarizing the suspected diagnosis and understanding of CMVD， it is believed that inflammatory responses and vascular endothelial damage are the key mechanisms of the pathogenesis. From the perspective of TCM， the disease location is at blood， vessels and heart， and the fundamental cause is spleen and kidney depletion， closely realted to phlegm， stasis， toxin， wind and qi. Integrating the understanding of both TCM and western medicine， clinical treatment advocates taking the CMVD pathology as the base， and the TCM understanding of pathogenesis as the main focus. The properties of Chinese herbal medicinals is used as the guidance for medication， and the pharmacological understanding as the assisstance of treatment， with the medical history and the severity of the condition are additionally considered. It is finally proposed that during the acute phase， the methods of nourishing yin and resolving toxins， softening hardness and dissipating masses， dispelling wind and unblocking collaterals should be applied to alleviate the emergency. In the subacute phase， the focus should be on raising and lifting qi promote its movement， with flexible use of medicinals that can unblock yang. In the remission phase， the method of tonifying spleen and fortifying kidney should be used to maintain the stability of the condition.

ObjectiveTo explore the therapeutic effect and mechanism of Xianglian Huazhuo prescription on chronic atrophic gastritis （CAG） in rats based on the Hedgehog signaling pathway. MethodsThe CAG rat model was established by sodium salicylate， N-methyl-N′-nitro-N-nitroguanidine （MNNG）， and irregular feeding. The successfully modeled rats were randomly divided into a model group （180 mg·L^-1）， a moradan group （1.4 g·kg^-1）， and Xianglian Huazhuo Prescription groups with high， medium， and low doses （36， 9， 18 g·kg^-1）， followed by drug intervention. Hematoxylin-eosin （HE） staining was used to observe morphological changes in the gastric mucosa. Transmission electron microscopy was used to observe the ultrastructure of gastric mucosa cells. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of Sonic Hedgehog （Shh）， Patched 1 （Ptch1）， and Glioma-associated oncogene homolog 1 （Gli1）. Western blot was used to detect the protein expression levels of Shh， Ptch1， and Gli1 in the gastric mucosa. Immunohistochemistry was used to observe the protein expression of the epithelial marker E-cadherin. ResultsCompared with the normal group， the CAG model group showed a reduction in gastric mucosal intrinsic glands and infiltration of inflammatory cells. The ultrastructure of gastric mucosal cells showed nuclear pyknosis， fewer mitochondria， and abnormal mitochondrial structure. The mRNA and protein expression of Shh， Ptch1， and Gli1 in the gastric mucosa were significantly decreased （P<0.05）， and E-cadherin protein expression was decreased. Compared with the model group， the intervention groups showed varying degrees of improvement in histopathological morphology and cellular ultrastructure. The mRNA and protein expression of Shh， Ptch1， Gli1， and E-cadherin increased to varying degrees. Xianglian Huazhuo Prescription upregulated the expression of key Hedgehog pathway factors and E-cadherin at both the mRNA and protein levels （P<0.05）. ConclusionXianglian Huazhuo prescription has a therapeutic effect on CAG in rats， and its mechanism may be related to activation of the Hedgehog signaling pathway and inhibition of epithelial-mesenchymal transition （EMT）.