Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. It has a high prevalence and poor prognosis. The application of antiarrhythmic drugs and even surgery cannot completely treat the disease, and there are many sequelae. AF can be classified into the category of "palpitation" in Chinese medicine according to its symptoms. Acupuncture has a significant effect on AF. The authors find that an important mechanism of acupuncture in AF treatment is to regulate the cardiac vagus nerve. Therefore, this article intends to review the distribution and function of vagus nerve in the heart, the application and the regulatroy effect for the treatment of AF.
Atrial Fibrillation/physiopathology* ; Humans ; Acupuncture Therapy ; Vagus Nerve/physiology* ; Animals

Formaldehyde is a prevalent organic solvent in industrial and indoor environment,which can seriously harm human health,so it is of great significance to develop highly sensitive formaldehyde sensors with fast response,low detection limit and long life.In this study,the NiO-In2O3 composite structure was prepared using indium-based metal organic framework(In-MOF)as the precursor,and the formaldehyde gas sensor was constructed with In2O3 and NiO-In2O3 composite structure as the sensitive material.The results demonstrated that the In2O3 material had a microflower-like structure,while the NiO-In2O3 composite structure was composed of NiO nanoparticles attached to the surface of In2O3.The sensor exhibited excellent detection performance for formaldehyde in the environment of relative humidity of 33%and 75%,especially the response characteristic of the NiO-In2O3 composite structure sensor to formaldehyde was considerably better than that of the In2O3 sensor under the same test conditions,which was closely related to the catalytic effect of NiO and the heterogeneous structure formed between NiO and In2O3.The NiO-In2O3 composite structure sensor had a response value of 21.3 and 12.6 to 10 μL/L formaldehyde when the relative humidity was 33%and 75%at 200℃.The response/recovery time was 4/6 s and 7/10 s,and the limit of detection(LOD)was 1.2×10-7 μL/L and 4.1×10-5 μL/L respectively.Meanwhile,the sensor had excellent selectivity and long-term stability.This sensor showed a wide application prospect in the field of high-performance detection of low concentration of formaldehyde gas.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Endothelial to mesenchymal transition(EndMT)is a process in which endothelial cells lose their endothelial pheno-type and function and gain mesenchymal phenotype and func-tion.During the embryonic period,EndMT is an essential mech-anism for the development of heart valves,pulmonary arteries and aorta.In recent years,numerous studies have shown that EndMT is also involved in the occurrence and development of cardiovascular diseases such as atherosclerosis,cardiac fibrosis,pulmonary hypertension,and cerebrovascular malformation.In addition,EndMT is also an important mechanism of other organ fibrosis and tumors.Non-coding RNAs(ncRNAs)refer to RNAs that are transcribed from the genome but do not translate into proteins.Studies have shown that the abnormal expression of ncRNAs can participate in various diseases by regulating End-MT.Such ncRNAs with regulatory functions mainly include mi-croRNA(miRNA),long non-coding RNA(lncRNA)and cir-cular RNA(circRNA).This review summarizes the molecular mechanisms by which ncRNAs regulate EndMT in various disea-ses,looking forward to the application prospects of ncRNAs in the treatment of EndMT-related diseases.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

Based on the focal adhesion kinase(FAK)/steroid receptor coactivator(Src)/extracellular regulated protein kinase(ERK) pathway, this study explored the effects of Xihuang Pills on angiogenesis, invasion, and metastasis in prostate cancer. Liquid chromatography-tandem mass spectrometry(LC-MS/MS) was used to analyze and identify the active ingredients of Xihuang Pills. Bioinformatics techniques, including R language and Perl programs, were employed to analyze the interactions between prostate cancer-related targets and the potential targets of Xihuang Pills. A subcutaneous transplantation tumor model of prostate cancer was established in nude mice using PC3 cells to verify the efficacy and molecular mechanisms of Xihuang Pills. In vitro cellular experiments, including cell proliferation assays(CCK-8), Transwell assays, scratch assays, real-time quantitative reverse transcription PCR, and Western blot, were used to detect the effects of Xihuang Pills on the proliferation, invasion, and migration of prostate cancer cells, as well as on FAK/Src/ERK pathway-related targets. LC-MS/MS identified 99 active ingredients in Xihuang Pills, including gallic acid, gentisic acid, artemisinin, corilagin, phenylbutazone-glucoside, thujic acid, and arecoic acid B. Network pharmacological analysis of the active ingredients in Xihuang Pills revealed that the FAK/Src/ERK signaling pathway was a key pathway in its anti-prostate cancer effects. In vivo and in vitro experiments confirmed that Xihuang Pills significantly inhibited the proliferation, invasion, and migration of PC3 and LNCaP cells, suppressed the growth of PC3 subcutaneous tumors, and reduced the protein expression levels related to the FAK/Src/ERK signaling pathway. In conclusion, the inhibition of angiogenesis, invasion, and metastasis by regulating the FAK/Src/ERK pathway is one of the mechanisms by which Xihuang Pills exert anti-prostate cancer effects.
Humans ; Male ; Prostatic Neoplasms/enzymology* ; Drugs, Chinese Herbal/chemistry* ; Animals ; Mice ; Cell Proliferation/drug effects* ; Mice, Nude ; Cell Movement/drug effects* ; Cell Line, Tumor ; src-Family Kinases/genetics* ; Neovascularization, Pathologic/metabolism* ; Neoplasm Metastasis ; Neoplasm Invasiveness ; Focal Adhesion Kinase 1/genetics* ; Extracellular Signal-Regulated MAP Kinases/genetics* ; MAP Kinase Signaling System/drug effects* ; Focal Adhesion Protein-Tyrosine Kinases/genetics* ; Signal Transduction/drug effects* ; Angiogenesis

OBJECTIVE: To explore the brain effect mechanism and the correlation between brain functional imaging and cognitive function in treatment of depressive disorder (DD) with transcutaneous auricular vagus nerve stimulation (taVNS) based on the resting-state functional magenetic reasonance imaging (rs-fMRI). METHODS: Thirty-two DD patients were included in a depression group and 32 subjects of healthy condition were enrolled in a normal group. In the depression group, the taVNS was applied to bilateral Xin (CO₁₅) and Shen (CO₁₀), at disperse-dense wave, 4 Hz/20 Hz in frequency and current intensity ≤20 mA depending on patient's tolerance, 30 min each time, twice daily. The duration of treatment consisted of 8 weeks. The patients of two groups were undertaken rs-fMRI scanning. The scores of Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA) and Wisconsin card sorting test (WCST) were observed in the normal group at baseline and the depression group before and after treatment separately. The differential brain regions were observed before and after treatment in the two groups and the value of degree centrality (DC) of fMRI was obtained. Their correlation was analyzed in terms of HAMD, HAMA and WCST scores. RESULTS: The scores of HAMD and HAMA in the depression group were all higher than those in the normal group (P<0.05). After treatment, the scores of HAMD and HAMA were lower than those before treatment in the depression group; the scores of total responses, response errors and perseverative errors of WCST were all lower than those before treatment (P<0.05). The brain regions with significant differences included the left inferior temporal gyrus, the left cerebellar peduncles region 1, the left insula, the right putamen, the bilateral supplementary motor area and the right middle frontal gyrus. After treatment, the value of DC in left supplementary motor area was negatively correlated to HAMD and HAMA scores respectively (r=-0.324, P=0.012; r=-0.310, P=0.015); the value of DC in left cerebellar peduncles region 1 was negatively correlated to the total responses of WCST (r=-0.322, P=0.013), and the left insula was positively correlated to the total responses of WCST (r=0.271, P=0.036). CONCLUSION The taVNS can modulate the intensity of the functional activities of some brain regions so as to relieve depressive symptoms and improve cognitive function.
Humans ; Depression/therapy* ; Magnetic Resonance Imaging/methods* ; Vagus Nerve Stimulation/methods* ; Brain/diagnostic imaging* ; Transcutaneous Electric Nerve Stimulation/methods* ; Vagus Nerve

This study aims to investigate the efficacy and possible mechanism of Liuwei Dihuang Pills in the treatment of diminished ovarian reserve(DOR) by using proteomic techniques. Firstly, cyclophosphamide(60 mg·kg~(-1)) combined with busulfan(6 mg·kg~(-1)) was injected intraperitoneally to establish the mouse model of DOR. After drug injection, the mice were continuously observed and the success of modeling was evaluated by the disturbance of the estrous cycle. After successful modeling, the mice were administrated with the suspension of Liuwei Dihuang Pills by gavage for 28 days. At the end of the gavage, four female mice were selected and caged together with males at a ratio of 2∶1 for the determination of the pregnancy rate. Blood and ovary samples were collected from the remaining mice on the next day after the end of gavage. Hematoxylin-eosin(HE) staining and transmission electron microscopy(TEM) were then employed to observe the morphological and ultrastructural changes in the ovaries. The serum levels of hormones and oxidation indicators were measured by enzyme-linked immunosorbent assay. Quantitative proteomics techniques were used to compare the ovarian protein expression before and after modeling and before and after the intervention with Liuwei Dihuang Pills. The results showed that Liuwei Dihuang Pills regulated the estrous cycle of DOR mice, elevated the serum levels of hormones and anti-oxidation indicators, promoted follicle development, protected the mitochondrial morphology of ovarian granulosa cells, and increased the litter size and survival of DOR mice. Furthermore, Liuwei Dihuang Pills negatively regulated the expression of 12 differentially expressed proteins associated with DOR, which were mainly involved in lipid catabolism, inflammatory response, immune regulation, and coenzyme biosynthesis. These differentially expressed proteins were significantly enriched in sphingolipid metabolism, arachidonic acid metabolism, ribosomes, ferroptosis, and cGMP-PKG signaling pathway. In summary, the occurrence of DOR and the treatment of DOR with Liuwei Dihuang Pills are associated with multiple biological pathways, mainly including oxidative stress response, inflammatory response, and immune regulation. "Mitochondria-oxidative stress-apoptosis" is the key to the treatment of DOR by Liuwei Dihuang Pills. YY1 and CYP4F3 may be the key upstream targets that trigger mitochondrial dysfunction and ROS accumulation, and the metabolism of arachidonic acid is the main signaling pathway of drug action.
Female ; Male ; Pregnancy ; Animals ; Mice ; Arachidonic Acid ; Ovarian Reserve ; Proteomics ; Ovary ; Lipid Metabolism

Objective: To investigate the species, concentration and seasonal trends of main airborne allergenic pollen in 4 districts and 5 counties of Hohhot City. Methods: The Department of allergy, Beijing Shijitan Hospital Affiliated to Capital Medical University conducted a cross-sectional study about monitoring the airborne allergenic pollen from August 1, 2021 to July 31, 2022 by the gravitational method in 4 districts and 5 counties of Hohhot City, which include Yuquan District, Xincheng District, Huimin District, Saihan District, Tuoketuo County, Helingeer County, Tumotezuoqi County, Wuchuan County and Qingshuihe County. Daily pollens were counted and identified by optical microscopy, and the data were analyzed. Results: The airborne allergenic pollen was collected every month all year round in 4 districts and 5 counties of Hohhot city. Through the whole year of the total quantity of pollens ranged from 24 850 to 50 154 grains per 1 000 mm² and two peaks of pollen concentration in air were observed,which happened in spring (from March to May) and in summer and autumn (from July to September). In spring, the main pollens were tree pollens, which principally distributed in Populus pollen (18.29%), Ulmus pollen (8.36%), Pinus pollen (6.20%), Cupressaceae pollen (5.23%), Betulaceae pollen (2.73%), Salix pollen (1.80%) and Quercus pollen (1.16%). In summer and autumn, the main pollens were weed pollens, which mainly included Artemisia pollen (42.73%), Chenopodiaceae pollen or Amaranthaceae pollen (7.46%), Poaceae pollen (2.26%), Humulus pollen or Cannabis pollen (0.60%). Conclusion: There were two peaks of main airborne allergenic pollen in 4 districts and 5 counties of Hohhot City. In the spring peak of pollen, the main airborne pollens were tree pollens. In the summer and autumn peak of pollen, the main airborne pollens were weed pollens. The Artemisia pollen was the most major airborne pollen in this area.
Humans ; Cross-Sectional Studies ; Pollen ; Hospitals