Epilepsy is a chronic neurological disease caused by abnormal synchronous discharge of the brain, which is characterized by recurrent and transient neurological abnormalities, mainly manifested as loss of consciousness and limb convulsions, and can occur in people of all ages. At present, anti-epileptic drugs (AEDs) are still the main means of treatment, but their efficacy is limited by the problem of drug resistance, and long-term use can cause serious side effects, such as cognitive dysfunction and vital organ damage. Although surgical resection of epileptic lesions has achieved certain results in some patients, the high cost and potential risk of neurological damage limit its scope of application. Therefore, the development of safe, accurate and personalized non-invasive treatment strategies has become one of the key directions of epilepsy research. In recent years, photobiomodulation (PBM) has gained significant attention as a promising non-invasive therapeutic approach. PBM uses light of specific wavelengths to penetrate tissues and interact with photosensitive molecules within cells, thereby modulating cellular metabolic processes. Research has shown that PBM can enhance mitochondrial function, promote ATP production, improve meningeal lymphatic drainage, reduce neuroinflammation, and stimulate the growth of neurons and synapses. These biological effects suggest that PBM not only holds the potential to reduce the frequency of seizures but also to improve the metabolic state and network function of neurons, providing a novel therapeutic avenue for epilepsy treatment. Compared to traditional treatment methods, PBM is non-invasive and avoids the risks associated with surgical interventions. Its low risk of significant side effects makes it particularly suitable for patients with drug-resistant epilepsy, offering new therapeutic options for those who have not responded to conventional treatments. Furthermore, PBM’s multi-target mechanism enables it to address a variety of complex etiologies of epilepsy, demonstrating its potential in precision medicine. In contrast to therapies targeting a single pathological mechanism, PBM’s multifaceted approach makes it highly adaptable to different types of epilepsy, positioning it as a promising supplementary or alternative treatment. Although animal studies and preliminary clinical trials have shown positive outcomes with PBM, its clinical application remains in the exploratory phase. Future research should aim to elucidate the precise mechanisms of PBM, optimize light parameters, such as wavelength, dose, and frequency, and investigate potential synergistic effects with other therapeutic modalities. These efforts will be crucial for enhancing the therapeutic efficacy of PBM and ensuring its safety and consistency in clinical settings. This review summarizes the types of epilepsy, diagnostic biomarkers, the advantages of PBM, and its mechanisms and potential applications in epilepsy treatment. The unique value of PBM lies not only in its multi-target therapeutic effects but also in its adaptability to the diverse etiologies of epilepsy. The combination of PBM with traditional treatments, such as pharmacotherapy and neuroregulatory techniques, holds promise for developing a more comprehensive and multidimensional treatment strategy, ultimately alleviating the treatment burden on patients. PBM has also shown beneficial effects on neural network plasticity in various neurodegenerative diseases. The dynamic remodeling of neural networks plays a critical role in the pathogenesis and treatment of epilepsy, and PBM’s multi-target mechanism may promote brain function recovery by facilitating neural network remodeling. In this context, optimizing optical parameters remains a key area of research. By adjusting parameters such as wavelength, dose, and frequency, researchers aim to further enhance the therapeutic effects of PBM while maintaining its safety and stability. Looking forward, interdisciplinary collaboration, particularly in the fields of neuroscience, optical engineering, and clinical medicine, will drive the development of PBM technology and facilitate its transition from laboratory research to clinical application. With the advancement of portable devices, PBM is expected to provide safer and more effective treatments for epilepsy patients and make a significant contribution to personalized medicine, positioning it as a critical component of precision therapeutic strategies.

Human-animal interaction has a long-standing tradition dating back to ancient times. With the rapid advancements in intelligent chips, wearable devices, and machine algorithms, the intelligent interaction between animals and electronic technology, facilitated by electronic devices and systems for communication, perception, and control, has become a reality. These electronic devices aim to implement an animal-centric working mode to enhance human understanding of animals and promote the development of animal intelligence and creativity. This article takes medium-sized and large animals as research objects, with the goal of developing their ability enhancement, and introduces the concept of “intelligent animal augmentation system (IAAS)”. This concept is used to describe the characteristics of such devices and provides a comprehensive overview of existing animal and computer interface solutions. In general, IAAS can be divided into implantable and non-implantable types, each composed of interface platforms, perception and interpretation, control and instruction components. Through various levels of enhancement systems and architectural patterns, intelligent interaction between humans and animals can be realized. Although existing IAAS still lack a complete independent interaction system architecture, they hold great promise and development space in the future. Not only can they be applied as substitutes for cutting-edge devices and transportation equipment, but they are also expected to achieve cross-species information interaction through intelligent interconnection. Additionally, IAAS can promote bidirectional interaction between humans and animals, playing a significant role in advancing animal ethics and ecological protection. Furthermore, the development of interaction models based on animal subjects can provide insightful research experiences for the design of human-computer interaction systems, thereby contributing to the more efficient realization of the ambitious goal of human-machine integration.

Objective:To study the feasibility of magnetic resonance imaging(MRI)technique with amide proton transfer(APT)in predicting the prognosis of cerebral stroke.Methods:A total of 71 patients with acute cerebral stroke who admitted to the Nanjing First Hospital,Nanjing Medical University from September 2022 to May 2023 were selected.All of them underwent the test of National Institute of Health Stroke Scale(NIHSS),and received the MRI examination with chemical exchange saturation transfer(CEST).According to the modified Rankin scale(mRS)values of 1-month follow-up,they were divided into favorable recovery group(mRS<2,44 cases)and poor group(mRS≥2,27 cases).The asymmetric magnetization transfer ratio(MTRasym)image(APT)was obtained by analyzing data with special software.And then,the difference(△APTw)of APT values between ischemic zone and contralateral normal tissue was further calculated.The △APTw values of two groups were compared and analyzed,and the Pearson correlation analysis was adopted to analyze the correlation among △APTw,NIHSS and mRS.The receiver operating characteristics(ROC)curve was drawn,and the area under curve(AUC)of ROC curve was calculated.Results:There were significant positive correlations among △APTw,NIHSS and mRS scores(R2=0.659,0.522,P<0.001),and the differences of △APTW,NIHSS and mRS scores between the favorable recovery group and poor group were significant(t=5.73,6.36,13.92,P<0.05),respectively.The AUC value was 0.886,and the sensitivity and specificity of prediction were respectively 77.8%and 95.5%.The positive and negative predictive values were respectively 91.3%and 87.5%.Conclusion:APT imaging technique has feasibility in predicting the prognosis of acute cerebral ischemic stroke.

Objective:To explore the correlation between time in range (TIR) after short-term treatment and glycated hemoglobin after 3 months (HbA lc-3m) in patients with newly-diagnosed type 2 diabetes mellitus (T2DM). Methods:In this cross-sectional study, a total of 94 patients with newly-diagnosed T2DM who received treatment in the Department of Endocrinology of Inner Mongolia Autonomous Region People′s Hospital were enrolled from January 2018 to September 2022. The patients were followed-up for 3 months and had complete medical record. TIR was divided into three groups according to different target ranges of blood glucose (TIR1: TIR with blood glucose between 3.9 and 10.0 mmol/L, TIR2: TIR with blood glucose between 3.9 and 7.8 mmol/L, TIR3: TIR with fasting, premeal or bedtime blood glucose <6.1 mmol/L and 2 h postprandial blood glucose <8.0 mmol/L). The patients were divided into two groups based on whether their HbA 1c-3m level was less than 6.5%, and the baseline data and variations in TIR for distinct target glucose levels were compared between the two groups. Spearman′s correlation analysis and binary logistic regression analysis were used to analyze the relationship between baseline indicators, TIR after short-term treatment and HbA 1c-3m. Receiver operating characteristic curve (ROC) was drawn to evaluate the predictive ability of different TIR after short-term therapy for HbA 1c-3m. Results:There were statistically significant differences in TIR1 [81.0 (67.5, 94.6)% vs 71.4 (51.7, 85.7)%], TIR2 [57.7 (29.7, 70.8)% vs 40.9 (22.4, 52.3)%] and TIR3 [23.8 (10.2, 39.5)% vs 13.0 (4.8, 25.0)%] between patients with a HbA 1c-3m<6.5% and patients with a HbA 1c-3m≥6.5% (all P<0.05). Spearman correlation analysis showed that among all the patients with newly-diagnosed T2DM, TIR1, TIR2 and TIR3 were all negatively correlated with HbA 1c-3m [6.4 (6.1, 6.9)%] ( r=-0.322, -0.348, -0.303, respectively, all P<0.01). Logistic regression analysis showed that after adjusting for the confounding factors, TIR1 ( OR=1.021, 95% CI: 1.002-1.041; P=0.034), TIR2 ( OR=1.024, 95% CI: 1.006-1.043; P=0.011), TIR3 ( OR=1.037, 95% CI: 1.010-1.065; P=0.008) were all independently related to HbA 1c-3m. When HbA lc-3m<6.5% was taken as the target value, the area under the ROC curve: TIR1 was 0.639 (95% CI: 0.528-0.751), TIR2 was 0.671 (95% CI: 0.560-0.782), TIR3 was 0.659 (95% CI: 0.549-0.770), respectively. When HbA lc-3m<7.0% was taken as the target value, the area under the ROC curve: TIR1 was 0. 730 (95% CI: 0.619-0.841), TIR2 was 0.744 (95% CI: 0.642-0.846), TIR3 was 0.701 (95% CI: 0.588-0.814). There was no significant difference in the area among the three statistics ( P>0.05). Conclusions:For newly-diagnosed T2DM patients, TIR after short-term treatment is negatively correlated with HbA 1c after 3 months and has good predictive value for it.

ObjectiveTo explore the role and molecular mechanism of Weifuchun （WFC） in inhibiting inflammation and alleviating gastric precancerous lesions （GPL）. MethodHuman gastric mucosal epithelial cells （GES-1） were stimulated with N-methyl-N′-nitro-N-nitrosoguanidine （MNNG） for the modeling of GPL （MC cells）， with Caspase-3 inhibition by Z-DEVD-FMK. MC cells were divided into control （20% blank serum）， WFC （15% and 20% WFC-containing serum）， and caspase-3 inhibitor groups. The cell counting kit-8 （CCK-8） was used to examine the viability of GES-1 cells or MC cells. The Transwell assay and 5-acetylidene-2′-deoxyuridine （EdU） staining were employed to examine cell invasion and proliferation， respectively. Flow cytometry was employed to determine the level of reactive oxygen species. Real-time PCR was conducted to determine the mRNA levels of interleukin （IL）-1， IL-6， and tumor necrosis factor （TNF）-α. Gene Expression Omnibus （GEO） was used to analyze the role of pyroptosis in gastric cancer progression. Western blotting was employed to determine the protein levels of nuclear factor-κB （NF-κB） p65， gasdermin E （GSDME）， and Caspase-3. Immunofluorescence staining was employed to detect the NF-κB p65 protein level and nuclear translocation. Hematoxylin-eosin staining was carried out to observe the pathological changes in the gastric mucosa before and after WFC treatment in the patients. ResultCompared with the control group， MC cells presented enhanced proliferation and invasion energy （P<0.01）. Compared with the blank serum group， WFC-containing serum inhibited the proliferation and invasion of MC cells （P<0.01）， down-regulated the mRNA levels of IL-1， IL-6， and TNF-α， and lowered the level of reactive oxygen species （P<0.05， P<0.01）. The transcriptome data at different stages of gastric cancer showed that pyroptosis was involved in gastric cancer progression， and the GSDME level was significantly higher in GPL patients than in the normal group. Compared with the blank serum， WFC-containing serum lowered the level of NF-κB and inhibited the nuclear translocation of NF-κB （P<0.05）， and it inhibited pyroptosis by suppressing the cleavage of Caspase-3 on GSDME （P<0.05， P<0.01）. The analysis of patient specimens further demonstrated that WFC treatment down-regulated the NF-κB level and GSDME cleavage （P<0.01）， inhibited pyroptosis， and alleviated gastric mucosal inflammation and intestinal epithelial metaplasia. ConclusionPyroptosis is involved in the progression of gastric cancer， and WFC inhibits pyroptosis via the NF-κB/GSDME pathway， thereby alleviating gastric mucosal inflammation in GPL.

Acute respiratory distress syndrome (ARDS) is severe respiratory failure in clinical practice, with a mortality rate as high as 40%. Injury of pulmonary endothelial cells and alveolar epithelial cells occurs during ARDS, and pulmonary endothelial injury results in endothelial barrier disruption, which usually occurs before epithelial injury. Especially, when harmful factors enter the blood, such as sepsis and hemorrhagic shock, the pulmonary endothelial cells are affected firstly. The injured endothelial cells may loss cell-to-cell connections and even die. After the endothelial barrier is disrupted, fluid and proteins cross the endothelial barrier, causing interstitial edema. The alveolar epithelium is more resistant to injury, and when the tight barrier of the epithelium is broken, fluids, proteins, neutrophils, and red blood cells in the interstitium enter the alveolar space. From this process, it is easy to find that the endothelium is the first barrier to prevent edema, therefore, the protection of endothelium is the key to the prevention and treatment of ARDS. In addition, the injured endothelial cells express selectin and cell adhesion molecules, promoting the recruitment of immune cells, which exacerbate the inflammatory response and pulmonary endothelial cell injury. Mesenchymal stem cells (MSCs) can be derived from umbilical cord, bone marrow, adipose and so on. Because of low immunogenicity, MSCs can be used for allogeneic transplantation and have great application potential in tissue repairing. Through paracrine effect, MSCs can promote cell survival and balance inflammatory response. MSCs infused intravenously can locate in lungs rapidly and interact with endothelial cells directly, thus MSCs have advantages in protecting pulmonary microvascular endothelial cells. Animal experiments and clinical trials have found that MSC transplantation can significantly improve the symptoms of ARDS and reduce inflammatory reactions and endothelial permeability. Mechanically, MSCs acts mainly through paracrine and immunomodulatory effects. Paracrine cytokines from MSCs can not only promote pulmonary endothelial proliferation, but also reduce inflammatory response and promote cell survival to maintain endothelial integrity. In addition to paracrine cytokines, extracellular vesicles of MSCs are rich in RNAs, proteins and bioactive substances, which can protect pulmonary endothelial cells by intercellular communication and substance transport. Furthermore, MSCs may protect pulmonary endothelial cells indirectly by regulating immune cells, such as reducing the formation of extracellular trapping network of neutrophils, regulating macrophage polarization and regulating Th17/Treg cell balance. Although the beneficial effects of MSCs are verified, much work still needs to be done. MSCs from different tissues have their own characteristics and the scope of application. Different lung diseases possess different endothelial injury mechanisms. Thus, determining the indications of MSCs derived from different tissues is the direction of pulmonary disease clinical trials. From the perspective of transplantation route, intravenous injection of MSCs may have better clinical application in pulmonary endothelial injury caused by endogenous harmful factors in blood. Previous reviews mostly focused on the protective effects of MSCs on alveolar epithelium. In this article, we focused on endothelial cells and reviewed the direct protective effects and mechanisms of MSCs on endothelium through paracrine cytokines and extracellular vesicles, and summarize the mechanisms by which MSCs may indirectly protect pulmonary endothelial cells by regulating immune cells.

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.

As a novel iron-dependent form of cell death, ferroptosis is characterized by the excessive accumulation of phospholipids containing polyunsaturated fatty acids (PUFA) on the cell membrane and peroxidation. Lipid droplets are always in the dynamic transition of generation and decomposition, play a central role in regulating lipid metabolism, and are always in the dynamic transition of generation and decomposition. Lipid droplet metabolism is closely related to the occurrence of ferroptosis and plays an important role in the disease caused by ferroptosis. This review firstly focuses on the lipid droplet metabolism process and its effects on the storage and release of PUFA, and further elucidates the regulatory mechanism and key regulatory proteins of lipid drop metabolism on ferroptosis, in order to reveal the intrinsic relationship between lipid droplets and ferroptosis, and provide a new strategy for disease prevention and treatment.

Objective To investigate the impacts of butorphanol(BUT)on the biological activity and chemotherapy drug resistance of osteosarcoma cells by regulating the forkhead box protein O3(FOXO3)-forkhead box protein M1(FOXM1)signal axis.Methods CDDP resistant MG-63 cells(MG-63/CDDP)treated with 2.0 μmol/L cisplatin(CDDP)were separated into control group(MG-63/CDDP cells were treated with 0.05％DMSO medium),BUT group(MG-63/CDDP cells were treated with 40 μg/mL BUT),JY-2 group(MG-63/CDDP cells were treated with 100 μmol/L FOXO3-FOXM1 inhibitor JY-2),and BUT+JY-2 group(MG-63/CDDP cells were treated with 40 μg/ml BUT and 100 μmol/L JY-2).CCK8 method was applied to detect MG-63/CDDP cell activity.Flow cytometry was used to detect apoptosis in MG-63/CDDP cells.The Transwell method was applied to detect the migration and invasion of MG-63/CDDP cells;Western blot was applied to detect the expression of autophagy proteins and proteins related to the FOXO3-FOXM1 signaling pathway.Results Compared with MG-63 cells,the IC50(20.56±2.52μmol/L vs(0.97±0.10μmol/L)of MG-63/CDDP cells was increased,and the differences was statistically significant(q=19.017,P<0.05),and the optimal concentration of 1 μmol/L CDDP was selected for subsequent experiments.Compared with the control group,the A value(0.43±0.05 vs 0.68±0.06),numbers of cell migration(63.63±7.58 vs 114.56±10.57)and invasion(43.38±4.58 vs 79.56±8.48),and the levels of autophagy-related protein Beclin1(0.31±0.05 vs 0.62±0.07)and microtubule-associated protein light chain 3(LC3)-Ⅱ/Ⅰ proteins(0.51±0.08 vs 0.98±0.11)in the BUT group were reduced(q=6.763～9.591,all P<0.05),the apoptosis rate(28.57％±3.14％vs 8.67％±1.46％),the levels of FOXO3(0.72±0.08 vs 0.33±0.04)and FOXM1(1.22±0.15 vs 0.70±0.08)proteins were increased(q=14.077,10.681,7.493,all P<0.05),however,in the JY-2 group,the A value(0.99±0.13 vs 0.68±0.06),numbers of cell migration(147.59±15.37 vs 114.56±10.57)and invasion(111.83±12.58 vs 79.56±8.48),and the levels of Beclin1(0.94±0.11 vs 0.62±0.07)and LC3-Ⅱ/Ⅰ(1.27±0.13 vs 0.98±0.11)proteins in the JY-2 group were increased(q=4.171～6.012,all P<0.05),the apoptosis rate(4.56％±0.86％vs 8.67％±1.46％),the levels of FOXO3(0.17±0.01 vs 0.33±0.04)and FOXM1(0.46±0.03 vs 0.70±0.08)proteins were reduced(q=5.941,9.505,6.881,all P<0.05),and the differences were statistically significant,respectively.JY-2 reversed the beneficial effects of BUT on MG-63/CDDP cell activity and chemotherapy resistance.Conclusion BUT may regulate the cell activity and CDDP resistance of osteosarcoma cells by activating the FOXO3-FOXM1 signaling pathway.

Objective:To observe the feelings of listening to music and the importance of music in the daily life of post-lingual deaf adults with cochlear implants, and to explore the relevant influencing factors.Methods:This was a cross-sectional survey study. From January 2021 to August 2021,the Music-Related Quality of Life Scale was used to evaluate the music needs and music experiences of 63 post-lingual deaf adults who met the inclusion criteria, including 27 males and 36 females, aged (40.7±12.3) years, at the time of surgery (36.8±13.1) years, and with a preoperative hearing aid ineffective time of (3.9±5.8) years. Indicators analyzed included age, duration of ineffective preoperative hearing aid wear, preoperative music preference, duration of postoperative cochlear implant use, current hearing aid modality, and auditory rehabilitation outcomes. Whether the six factors mentioned above constituted an influence on the subjects′ music listening was investigated using SPSS 25.0 statistical software.Results:All of the observations in the scale were correlated with a single factor. The two sub-dimensions of music experience section were related to the effect of auditory rehabilitation. In the importance section, the effect of auditory rehabilitation was the influential factor of the dimension of "participation importance", and the preoperative enjoyment of music was the relevant influential factor of the dimension of "perceived importance". There was a significant difference between the groups when they were grouped by the above factors ( P value<0.05), while there was no statistically significance between the groups when they were grouped by other factors ( P value>0.05). Conclusions:Post-lingual deaf adults show the need and attempt to listen to music after cochlear implantation. The effectiveness of auditory rehabilitation and the degree of music preference preoperatively are two important factors that influence music listening in implant recipients. Once the level of auditory communication has been restored to a certain degree, it is important to pay more attention to the needs of music for implant recipients and train them in time, especially for those with music preferences preoperatively.