OBJECTIVE To establish a method for simultaneous determination of plasma concentration of lamotrigine（LTG）， levetiracetam（LEV） and perampanel（PER） in children with epilepsy and apply this method in clinical practice. METHODS Plasma proteins were precipitated with acetonitrile. Using PER-D 5 as internal standard， ultra-high performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） method was adopted. The determination was performed on ACQUITY UPLC HSS T3 C 18 column with mobile phase consisted of 0.1% formic acid with 5 mmol/L ammonium acetate-acetonitrile （gradient elution） at the flow rate of 0.3 mL/min. The column temperature was 40 ℃， and sample size was 5 μL. The analysis time was 5 min. The electrospray ionization source and multiple reaction monitoring mode were used for positive ion scanning. The ion pairs used for quantitative analysis of LTG， LEV， PER and internal standard were m / z 255.9→144.9， m / z 171.1→126.1， m / z 350.1→219.0 and m / z 354.9→220.2， respectively. The steady-state trough concentrations of the aforementioned drugs in the plasma of 14 pediatric epilepsy patients receiving combination therapy were determined using the same UPLC-MS/MS method as above. RESULTS The linear ranges of LTG， LEV and PER were 0.15-24 μg/mL （ R 2 ＞0.993）， 0.312 5-50 μg/mL （ R 2 ＞0.997） and 6.25-1 000 ng/mL （ R 2 ＞0.997）， respectively. The lower limits of quantification were 0.15 μg/mL， 0.312 5 μg/mL and 6.25 ng/mL， respectively. RSDs of intraday and interday precision tests of the three drugs were no more than 9.83%， and the accuracies （relative errors） were between －9.33% and 13.72%（ n ＝6 or n ＝18）； the average extraction recovery rates were 86.4%-97.9%， and the average matrix effects were 86.9%-110.0% （ n ＝6）. The absolute values of the relative errors in the stability tests were all below 15%. The steady-state trough concentrations of LTG， LEV and PER were （5.64±4.03）μg/mL， （10.67±8.78）μg/mL and（450.20±251.27）ng/mL， respectively； the rates of achieving target trough concentrations were 71.4%， 37.5% and 84.6%， respectively. CONCLUSIONS The established UPLC-MS/MS method is specific， rapid and suitable for the plasma concentration monitoring in epileptic children receiving combination therapy.

To conduct a bibliometric and keyword analysis on the domestic and international literature of medical artificial intelligence （AI） ethics， explore the research frontiers， hotspots， and development trends in this field， and provide references for promoting the construction of China’s ethical governance system on medical AI. Utilizing CiteSpace software， a comparative analysis was conducted between the reviewed domestic and international literature regarding their publication volume， author and institutional collaboration networks， as well as keyword co-occurrence， clustering， timeline graph， and burst， to explore the research hotspots and development trends in the field. A total of 2 393 Chinese and English publications were included. In recent years， research topics in medical AI ethics both domestically and internationally focused on three aspects， encompassing their theoretical research， emerging domains and their ethical risks， as well as the ethical governance and regulation of medical AI. International research hotspots included federated learning， computer-aided detection， informed consent， and other aspects， whereas domestic research hotspots were smart healthcare， responsibility ethics， ethical values， and other aspects. Internationally， greater attention was placed on ethical issues concerning population health and healthcare in the public health domain， whereas domestic research topics tended to focus more on theoretical discussions and the establishment of ethical principles. The ethical governance of medical AI represents a shared global challenge， necessitating enhanced research into both the variances and commonalities in this field.

Lung transplantation is a definitive treatment for end-stage lung disease and can significantly improve patient prognosis. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury and chronic lung allograft dysfunction intertwine to form a complex pathological network, posing persistent challenges to long-term patient survival. In 2025, research teams worldwide have made systematic progress in the field of basic lung transplantation research. By integrating cutting-edge technologies including single-cell multi-omics, spatial transcriptomics and novel animal models, significant breakthroughs have been achieved in the evolutionary dynamics of drug-resistant infections, molecular mechanisms of immune regulation, programmed cell death, optimization of donor lung protection strategies and early warning of chronic lung allograft dysfunction. This article systematically reviews the representative advances in basic lung transplantation research worldwide in 2025, and deeply analyzes the implications of mechanistic breakthroughs for optimizing diagnosis and treatment strategies, aiming to anchor the direction for innovative breakthroughs and clinical translation in basic lung transplantation research.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

ObjectiveTo analyze the volatile components in raw Coptidis Rhizoma， Euodiae Fructus juice-processed Coptidis Rhizoma （Yuhuanglian）， and the processing adjuvant Euodiae Fructus juice， identify marker volatile components in the processed product， and elucidate the material basis changes during the processing with Euodiae Fructus juice. MethodsHeadspace solid-phase microextraction coupled with gas chromatography-quadrupole-time-of-flight mass spectrometry （HS-SPME-GC-Q-TOF-MS） was employed to analyze the volatile components in raw Coptidis Rhizoma， Yuhuanglian， and Euodiae Fructus juice. Chemometric analysis was performed to compare volatile components among samples and screen the marker components. Finally， the relative odor activity value （ROAV） was calculated to investigate odor characteristics. ResultsA total of 127 components were detected， with 27， 75， 84 volatile components identified in Euodiae Fructus juice， raw Coptidis Rhizoma， and Yuhuanglian， respectively. Processing with Euodiae Fructus juice significantly increased the number and content of volatile components. Chemometric analysis revealed significant changes in volatile components among the three sample types， allowing clear discrimination. After processing， 39 components such as methyl octanoate and allyl propionate were introduced， while 34 components including furfural and hexanoic acid increased in content， and 11 components including butyric acid and octanal decreased. Additionally， eight components， including zingiberene， 6-methyl-6-hepten-2-one， and 5-methyl-2-hexanone， were screened as marker components of Yuhuanglian. Moreover， processing enhanced the ROAV values of 2，5-dimethylpyrazine （roasted， nutty， coffee-like aroma）， 3-ethylphenol， and guaiacol （smoky， woody aroma）. Additionally， it incorporated 1-hepten-3-one from Euodiae Fructus juice and the newly generated 1-hexen-3-one， contributing mushroom and cucumber-like odors. The sensory profile of Yuhuanglian integrated nutty， roasted， smoky， and woody notes with the citrus and fruity aroma originally contributed by octanal. ConclusionThe processing with Euodiae Fructus juice introduced components from adjuvant， significantly altering the volatile component profile and enhancing the sensory odor characteristics of Yuhuanglian. This study provides a valuable reference for exploring the material basis of volatile components and establishing processing specifications for Yuhuanglian.

ObjectiveTo analyze the volatile components in raw Coptidis Rhizoma， Euodiae Fructus juice-processed Coptidis Rhizoma （Yuhuanglian）， and the processing adjuvant Euodiae Fructus juice， identify marker volatile components in the processed product， and elucidate the material basis changes during the processing with Euodiae Fructus juice. MethodsHeadspace solid-phase microextraction coupled with gas chromatography-quadrupole-time-of-flight mass spectrometry （HS-SPME-GC-Q-TOF-MS） was employed to analyze the volatile components in raw Coptidis Rhizoma， Yuhuanglian， and Euodiae Fructus juice. Chemometric analysis was performed to compare volatile components among samples and screen the marker components. Finally， the relative odor activity value （ROAV） was calculated to investigate odor characteristics. ResultsA total of 127 components were detected， with 27， 75， 84 volatile components identified in Euodiae Fructus juice， raw Coptidis Rhizoma， and Yuhuanglian， respectively. Processing with Euodiae Fructus juice significantly increased the number and content of volatile components. Chemometric analysis revealed significant changes in volatile components among the three sample types， allowing clear discrimination. After processing， 39 components such as methyl octanoate and allyl propionate were introduced， while 34 components including furfural and hexanoic acid increased in content， and 11 components including butyric acid and octanal decreased. Additionally， eight components， including zingiberene， 6-methyl-6-hepten-2-one， and 5-methyl-2-hexanone， were screened as marker components of Yuhuanglian. Moreover， processing enhanced the ROAV values of 2，5-dimethylpyrazine （roasted， nutty， coffee-like aroma）， 3-ethylphenol， and guaiacol （smoky， woody aroma）. Additionally， it incorporated 1-hepten-3-one from Euodiae Fructus juice and the newly generated 1-hexen-3-one， contributing mushroom and cucumber-like odors. The sensory profile of Yuhuanglian integrated nutty， roasted， smoky， and woody notes with the citrus and fruity aroma originally contributed by octanal. ConclusionThe processing with Euodiae Fructus juice introduced components from adjuvant， significantly altering the volatile component profile and enhancing the sensory odor characteristics of Yuhuanglian. This study provides a valuable reference for exploring the material basis of volatile components and establishing processing specifications for Yuhuanglian.

Objective To construct an evidence-based practice program of discharge preparation services for hip replacement patients based on the best evidence,and to evaluate its clinical effects,aiming to provide references for the implementation of relevant interventions.Methods Knowledge to Action Framework was used as a guide to summarise the best evidence on discharge preparation services for hip replacement patients and to select services based on clinical context.We selected 38 hip replacement patients and 17 healthcare professionals from the De-partment of Orthopaedic Surgery at a tertiary A hospital in Shanghai in September-October 2023 to conduct a baseline review,identify facilitating and hindering factors,and develop a practice protocol.We also selected 38 hip replacement patients and 17 healthcare professionals from November-December 2023 on this ward for evidence-based practice.Nurses'rates of completion of review indicators,levels of knowledge of discharge preparation ser-vices,and discharge planning competencies were compared before and after practice.Patients'readiness for dis-charge,hip function,and unplanned readmissions were also compared before and after the practice.Results After evidence-based practice,nurses'completion rates of review indicators,knowledge of discharge preparation services,and discharge planning competencies were higher than baseline levels(P＜0.05).Hip replacement patients showed a significant improvement in readiness for discharge and hip function(P＜0.001).Conclusion The implementation of an evidence-based practice program of discharge preparation services improves nurses'knowledge and skills,and also contributes to the discharge readiness and hip function of hip replacement patients.

AIM To establish LC-MS and GC-MS method and analyze the chemical constituents of Dendrobium huoshanense C.Z.Tang & S.J.Cheng flowers.METHODS LC-MS was performed on a Zorbax Eclipse C18 column(2.1 mm×100 mm,1.8 μm),with the mobile phase comprising of water(containing 0.1％formic acid)-acetonitrile flowing at 0.3 mL/min,and electrospray ionization was operated in both positive and negative ion modes.The GC-MS employed headspace solid-phase microextraction for sample preparation,and the analysis was performed on an HP-5MS column(30 m×0.25 mm,0.25 μm),with the following temperature program:initial temperature 50 ℃(held for 2 min),increased at 5 ℃/min to 180 ℃(held for 5 min),then raised at 10 ℃/min to 250 ℃(held for 5 min),and electron impact ion source was employed.RESULTS A total of 62 compounds were identified by LC-MS,including 35 flavonoids,4 coumarins,6 alkaloids,6 terpenoids,3 amino acids,2 polyphenols,2 ketones and 4 others.A total of 101 volatile components were identified by GC-MS,including ketones,aldehydes,alcohols,esters,ethers,and acid.CONCLUSION This method can comprehensively analyze the chemical constituents of D.huoshanense flowers,and provide a scientific basis for elucidating its pharmacodynamic material basis.

In this work,near infrared carbon quantum dots(NIR-CDs)were synthesized by hydrothermal method using biomass material Clausena lansium leaves.The synthesized NIR-CDs emitted maximum fluorescence signal at 677 nm,which was independent of excitation wavelength.The characterization results showed that there were abundant groups on the surface of NIR-CDs.Pd2+could form non-fluorescent compounds with the surface groups of NIR-CDs,resulting in fluorescence quenching(Fluorescence signal was denoted as F0).Because chlorpromazine hydrochloride(CPZ)parent nucleus contained unoxidized S atom,CPZ could form stable colored complex with Pd2+under acidic conditions.In the presence of CPZ,Pd2+dissociated from the surface of NIR-CDs and bonded with CPZ,so that the fluorescence signal could be restored(Fluorescence signal was denoted as F).An"on-off-on"fluorescence sensor was thus constructed.The fluorescence signal recovery value of NIR-CDs(△F=F-F0)showed a good linear relationship with the concentration of CPZ in the range of 5.68-28.43 μg/mL,and the detection limit(3σ)was 0.078 μg/mL.The sensor was applied to determination of CPZ in pharmaceutical preparations,and the recoveries were 94％-106％.The developed fluorescence sensor was expected to be used in quality control of actual pharmaceutical preparations.

Objective To explore the correlation between the actual age and the pulp chamber volume(PCV)and pulp dentinal index(PDI)of the right first molars based on cone beam computed tomog-raphy(CBCT)technology,and to construct an accurate and convenient model for age estimation.Methods CBCT image data of 1 857 Han adults(883 males and 974 females)from the Department of Stomatology,Affiliated Hospital of North Sichuan Medical College were collected.The data were di-vided into training and validation sets at a ratio of 8∶2.A total of 1 485 training samples were used to construct the age estimation model,and 372 samples were used to validate the accuracy of the model.The Mimics 21.0 software was used to measure the PCV and calculate the PDI of the right first molars.Their correlations with age and the differences between different sexes and tooth positions were analyzed.Results Both the PCV and the PDI of the first molars showed strong negative correla-tions with the actual age(r values ranged from 0.82 to 0.89).The differences in PCV and PDI be-tween different sexes and tooth positions were statistically significant(P<0.05).The age estimation model based on PDI was superior to that based on PCV.The model based on the PDI values of the two right first molars(y=73.72-44.15 x3-28.27 x4,where x3 and x4 are the PDI values of the right maxil-lary and mandibular first molars,respectively)was the best,with the R2 of 0.79 and the mean abso-lute error of 4.90 years.Conclusion Both PCV and PDI of the first molars are effective indicators for age estimation.The age estimation model based on the PDI is more convenient and accurate than that based on the PCV,providing a more effective method for age estimation in forensic practice.