ObjectiveTo explore the mechanism by which Banxia Xiexin Tang （BXT） regulates the advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） signaling pathway to reduce neuroinflammatory responses and ameliorate cognitive dysfunction in the rat model of vascular dementia （VD）. MethodsThe components of BXT were detected by ultra performance liquid chromatography-quadrupole -orbitrap-tandem mass spectrometry（UPLC-Q-Orbitrap-MS/MS）， and the core components and key action pathways were screened out by network pharmacology and molecular docking. Sixty SPF-grade male SD rats were randomly allocated into the sham and modeling groups by the random number table method. The VD model was replicated by the modified bilateral occlusion of the common carotid arteries （2-VO） method. The successfully modeled rats were randomly allocated into the model， low-， medium-， and high-dose （3.748 5， 7.497， 14.994 g·kg^-1） BXT （BXT-L， BXT-M， and BXT-H）， and nimodipine （NMP， 0.002 7 g·kg^-1） groups according to the random number table method. The rats in the drug intervention groups were administrated with corresponding drugs by gavage， and the sham and model groups received the same amount of normal saline for 14 consecutive days. The Morris water maze， Y-maze， and new object recognition experiments were conducted to evaluate the cognitive dysfunction of rats. Hematoxylin-eosin （HE） staining was used to evaluate the histopathological changes of the hippocampal tissue in rats. The mRNA levels of AGE， RAGE， and phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65） in the hippocampal tissue of rats were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expression of related proteins in the AGE/RAGE pathway in the hippocampal tissue of rats was determined by Western blot and immunohistochemistry （IHC）. The levels of neurotransmitters and inflammatory mediators in the rat serum were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsThe chemical components of BXT were detected by UPLC-Q-Orbitrap-MS/MS. Network pharmacology and molecular docking identified the AGE/RAGE pathway as the key pathway. The results of the water maze， Y maze， and novel object recognition tests showed that compared with the sham group， the model group demonstrated prolonged successful latency and decreases in number of platform crossings， alternation rate， number of entries into the new arm， preference index， and discrimination index （P0.01）. Compared with the model group， the BXT-H and BXT-M groups showed shortened successful latency （P0.01） and increases in number of platform crossings （P0.05）， alternation rate （P0.01）， number of entries into the new arm （P0.05）， preference index （P0.01）， and discrimination index （P0.01）. HE results showed that compared with the sham group， the cells of model rats were loosely and disorderly arranged， and the nuclei were condensed. Compared with the model group， the pathological changes of the hippocampus in the BXT group were mitigated. Real-time PCR results showed that compared with the sham group， the model group presented up-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 in the hippocampus （P0.01）， and compared with the model group， the BXT-H and BXT-M groups showcased down-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 （P0.01）. Western blot results showed that compared with the sham group， the model group presented up-regulated expression of AGE， RAGE， p-NF-κB p65， and tumor necrosis factor-α （TNF-α） （P0.05）， and compared with the model group， the BXT-H group presented down-regulated expression of AGE， RAGE， p-NF-κB p65， and TNF-α （P0.05）. IHC results showed that compared with the sham group， the model group had increased expression of RAGE （P0.01）， and compared with the model group， the BXT-H and BXT-M groups had reduced expression of RAGE （P0.01）. ELISA results showed that compared with the sham group， the model group exhibited elevated levels of TNF-α and Interleukin-1β （IL-1β） and declined levels of acetylcholine （ACh） and dopamine （DA） in the serum （P0.01）. Compared with the model group， the BXT-L， BXT-M， and BXT-H groups showed lowered levels of TNF-α and IL-1β in the serum （P0.05） and elevated levels of ACh and DA （P0.05）. ConclusionBXT may ameliorate cognitive dysfunction in the rat model of VD by down-regulating the AGE/RAGE signaling pathway， reducing neuroinflammatory responses， and regulating neurotransmitter levels.

ObjectiveTo explore the mechanism by which Banxia Xiexin Tang （BXT） regulates the advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） signaling pathway to reduce neuroinflammatory responses and ameliorate cognitive dysfunction in the rat model of vascular dementia （VD）. MethodsThe components of BXT were detected by ultra performance liquid chromatography-quadrupole -orbitrap-tandem mass spectrometry（UPLC-Q-Orbitrap-MS/MS）， and the core components and key action pathways were screened out by network pharmacology and molecular docking. Sixty SPF-grade male SD rats were randomly allocated into the sham and modeling groups by the random number table method. The VD model was replicated by the modified bilateral occlusion of the common carotid arteries （2-VO） method. The successfully modeled rats were randomly allocated into the model， low-， medium-， and high-dose （3.748 5， 7.497， 14.994 g·kg^-1） BXT （BXT-L， BXT-M， and BXT-H）， and nimodipine （NMP， 0.002 7 g·kg^-1） groups according to the random number table method. The rats in the drug intervention groups were administrated with corresponding drugs by gavage， and the sham and model groups received the same amount of normal saline for 14 consecutive days. The Morris water maze， Y-maze， and new object recognition experiments were conducted to evaluate the cognitive dysfunction of rats. Hematoxylin-eosin （HE） staining was used to evaluate the histopathological changes of the hippocampal tissue in rats. The mRNA levels of AGE， RAGE， and phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65） in the hippocampal tissue of rats were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expression of related proteins in the AGE/RAGE pathway in the hippocampal tissue of rats was determined by Western blot and immunohistochemistry （IHC）. The levels of neurotransmitters and inflammatory mediators in the rat serum were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsThe chemical components of BXT were detected by UPLC-Q-Orbitrap-MS/MS. Network pharmacology and molecular docking identified the AGE/RAGE pathway as the key pathway. The results of the water maze， Y maze， and novel object recognition tests showed that compared with the sham group， the model group demonstrated prolonged successful latency and decreases in number of platform crossings， alternation rate， number of entries into the new arm， preference index， and discrimination index （P<0.01）. Compared with the model group， the BXT-H and BXT-M groups showed shortened successful latency （P<0.01） and increases in number of platform crossings （P<0.05）， alternation rate （P<0.01）， number of entries into the new arm （P<0.05）， preference index （P<0.01）， and discrimination index （P<0.01）. HE results showed that compared with the sham group， the cells of model rats were loosely and disorderly arranged， and the nuclei were condensed. Compared with the model group， the pathological changes of the hippocampus in the BXT group were mitigated. Real-time PCR results showed that compared with the sham group， the model group presented up-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 in the hippocampus （P<0.01）， and compared with the model group， the BXT-H and BXT-M groups showcased down-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 （P<0.01）. Western blot results showed that compared with the sham group， the model group presented up-regulated expression of AGE， RAGE， p-NF-κB p65， and tumor necrosis factor-α （TNF-α） （P<0.05）， and compared with the model group， the BXT-H group presented down-regulated expression of AGE， RAGE， p-NF-κB p65， and TNF-α （P<0.05）. IHC results showed that compared with the sham group， the model group had increased expression of RAGE （P<0.01）， and compared with the model group， the BXT-H and BXT-M groups had reduced expression of RAGE （P<0.01）. ELISA results showed that compared with the sham group， the model group exhibited elevated levels of TNF-α and Interleukin-1β （IL-1β） and declined levels of acetylcholine （ACh） and dopamine （DA） in the serum （P<0.01）. Compared with the model group， the BXT-L， BXT-M， and BXT-H groups showed lowered levels of TNF-α and IL-1β in the serum （P<0.05） and elevated levels of ACh and DA （P<0.05）. ConclusionBXT may ameliorate cognitive dysfunction in the rat model of VD by down-regulating the AGE/RAGE signaling pathway， reducing neuroinflammatory responses， and regulating neurotransmitter levels.

Objective: To understand the trends of classroom lighting and illumination of primary and secondary schools in Beijing from 2016 to 2023, so as to provide a scientific basis for targeted improvement measures. Methods: A sampling survey was conducted on the lighting and illumination indicators of 8 390 classrooms in primary and secondary schools in Beijing from 2016 to 2023. The survey included classroom daylight factor, window to floor area ratio, average illuminance and illuminance uniformity on the desks, average illuminance and illuminance uniformity on blackboards, as well as classroom lighting and blackboard illumination sources. Intergroup comparisons were performed using the Kruskal-Wallis H test and the Chi square test, and Spearman correlation analysis was used to examine the trend of classroom lighting and illumination changes. Results: Except the window to floor area ratio, the measured values and compliance rates of all lighting and illumination indicators showed an overall upward trend from 2016 to 2023 (daylight factor r = 0.27, χ 2 trend =206.80, average illuminance on the desk surface r =0.30, χ 2 trend =87.97, illuminance uniformity on the desk surface r =0.14, χ 2 trend =73.59, average illuminance on the blackboard r =0.33, χ 2 trend =477.43, illuminance uniformity on the blackboard r = 0.09, χ 2 trend =50.76) (all P ＜0.01). The lighting and illumination indicators of classrooms (included classroom daylight factor, average illuminance and illuminance uniformity on the desks, average illuminance and illuminance uniformity on blackboards) in urban schools, primary schools, and secondary schools from 2016 to 2023 showed an upward trend (urban r =0.23-0.40, χ 2 trend =88.66-392.18; primary school r =0.12-0.36, χ 2 trend =39.50-281.44; secondary schools r =0.06-0.31, χ 2 trend =11.79-213.73) (all P ＜ 0.01 ). The illuminance uniformity on the blackboard in suburban schools showed a downward trend ( r = -0.09, χ 2 trend =31.53, both P ＜0.01). The illuminance uniformity on the desk surface in suburban schools showed no significant change ( r =0.03, χ 2 trend =1.23, both P ＞0.05). The other indicators showed an upward trend (daylight factor r =0.28, χ 2 trend =40.69, average illuminance on the desk surface r =0.24, χ 2 trend =16.35, average illuminance on the blackboard r =0.25, χ 2 trend =118.05, all P ＜0.01). The trends of classroom and blackboard illumination sources were that fluorescent lamps decreased year by year and LED lamps increased by year (classroom illumination sources χ 2 trend =1 059.82, blackboard illumination sources χ 2 trend =1 070.25, both P ＜0.01). Conclusions The classroom lighting and illumination in primary and secondary schools in Beijing has shown an overall improving trend from 2016 to 2023. However, problems remain, such as limited improvement of illuminance uniformity indicators, late start and poor effect of reconstruction in suburban schools. Further improvements are still needed.

The chapter Zhouyu in Guoyu says "Qi of the heaven and the earth moves without losing its order." With lucidity ascending and turbidity descending， Qi moves in a normal state， and Yin and Yang consolidate the foundation of the body. The mutual interference between lucidity and turbidity leads to the disorder of Qi movement， thus causing diseases. It is a pathological state of disorder between ascending and descending， as well as between entering and exiting， gradually evolving into a state of turbidity affecting lucidity and transforming into pathogen， which can be used to interpret and analyze the core of disease pathogenesis. The theory of lucidity and turbidity is connected with the harmony of nutrient and defensive aspects， Qi circulation， and sweat pore associating with Qi movement， and it has common implications with immune responses and nutrient metabolism system， intestinal mucosal barrier function， and mitochondrial energy synthesis. Modern studies have shown that intestinal flora imbalance， bile acid receptor inactivation， macrophage polarization imbalance， epithelial-mesenchymal transition， ferroptosis and other related microscopic pathological mechanisms are involved in the development and progression of ulcerative colitis. By delving into the common meaning of the classic theory of mutual interference between lucidity and turbidity in traditional Chinese medicine and modern medical pathological mechanisms， this paper summarizes the correspondence between the micropathological mechanism and the theory of mutual interference between lucidity and turbidity in the regulation and mamagement of ulcerative colitis. The combined use of sweet and warm medicinal materials consolidates the middle Qi and activates Qi circulation， thus ascending lucidity and descending turbidity. The combined use of pungent medicinal materials for dispersing and bitter medicinal materials for descending simultaneously raises warm and clear Qi. Wind-extinguishing medicinal materials facilitate the ascending of Qi and the opening of sweat pores. Accordingly， turbidity descends and lucidity ascends. The prescriptions incorporating these medication principles are in agreement with the therapeutic approach of following the normal flow of lucidity and turbidity. This paper clarifies the scientific connotation and micropathologic mechanism of ulcerative colitis from the perspective of mutual interference between lucidity and turbidity， providing new theories and prescriptions for the clinical diagnosis， treatment， and prevention of ulcerative colitis.

Objective: To develop a smart blood donation service assistant for popularizing donation-related knowledge to blood donors via intelligent Q&A support, thereby enabling precise service delivery. Methods: Based on the operational scenarios of the Zhejiang Provincial Blood Center, the system utilized the open-source Dify platform for agent orchestration, and integrated with the DeepSeek model as the language processing engine to support online real-time interaction. External tools, including the Amap API and MySQL database queries, were encapsulated via the Model Context Protocol (MCP). A professional blood knowledge base for Retrieval-Augmented Generation (RAG) was constructed using the BGE-M3 embedding model. An innovative dual-large language model collaborative verification mechanism was introduced to design the overall framework. The system was deployed privately using Docker containerization, and offline closed-loop optimization was achieved through customized Python scripts. Results: An interactive interface for blood donors was developed by integrating the chatflow Web component from Dify. The intelligent assistant Agent can recommend optimal blood donation sites and navigation routes by invoking the Amap API based on the donor's location. The Blood Donation Knowledge Agent enables timely responses to inquiries, along with reasonable suggestions and reminders. This agent specializes in the field of voluntary blood donation, empowering the assistant to answer doubts and questions for blood donors in the form of intelligent question-and-answer interaction. It also guides users through preliminary self-assessments, helping potential donors identify eligibility issues beforehand, thereby effectively increasing the on-site success rate of blood donation and reducing resource waste. Conclusion: The smart blood donation assistant validates the feasibility of the "Dify+MCP+RAG" technical architecture within the blood transfusion informatization field. The assistant not only improves the service experience for blood donors, but also, ensures the sustainable evolution of the system through its modular design and closed-loop optimization mechanism, thus providing valuable insights for the intelligent transformation of traditional blood donation service systems.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

Objective To explore the valve regurgitation status of left heart after the implantation of left ventricular assist device (LVAD) and its effect on prognosis of patients with LVAD implantation. Methods A total of 35 patients with cardiomyopathy who underwent magnetic levitation LVAD implantation at Zhongshan Hospital, Fudan University from February 2021 to July 2024 were retrospectively selected. Clinical data during hospitalization were collected, including preoperative basic data and postoperative valve regurgitation status. Telephone follow-ups were conducted to monitor patients’ survival status and transthoracic echocardiography was used to assess left valve function. Kaplan-Meier survival curves and log-rank test were employed to compare the survival rate of patients with different levels of valve regurgitation. Results The 35 patients had a mean age of (53.9±11.1) years, with 85.7% male, and 3 patients (8.6%) died during hospitalization. Preoperatively, 17 patients (48.6%) had moderate or greater mitral regurgitation, while all 35 patients had less than moderate aortic regurgitation. One month postoperatively, thirty patients were followed up, among which 24 patients (80%) had less than moderate mitral regurgitation, including 11 cases with alleviated regurgitation compared to pre-surgery; 6 patients (20%) had moderate or greater mitral regurgitation, including 4 cases with stable regurgitation and 2 cases with progression of regurgitation compared to pre-surgery; 2 patients (6.7%) had progression of aortic regurgitation to moderate or greater. The follow-up time was 1.2 (1.0, 2.1) years, with 1-year survival rate of 91.4% and 3-year survival rate of 71.1%. Survival analysis showed that the 3-year survival rate of patients with moderate or greater mitral regurgitation one month postoperatively was significantly lower than that of patients with less than moderate regurgitation (66.7% vs 83.3%, P＝0.046). Conclusions After the implantation of magnetic levitation LVAD, most patients showed improvement in mitral regurgitation, while aortic regurgitation remained unchanged. The degree of mitral regurgitation one month postoperatively is associated with prognosis.