This paper aims to explore the effect of electrical stimulation of triboelectric nanogenerators (TENGs) on the osteogenic and other biological behaviors of mouse embryonic osteoblast precursor cells (MC3T3-E1 cells) on titanium surfaces. First, an origami-type TENG was fabricated, and its electrical output performance was tested. The optimal current of the generator and the feasibility of the experiment were verified by the CCK-8 assay and scratch assay. At the optimal current, the osteogenic conditions of the cells in each group were determined by quantitative analysis of the total protein content, alkaline phosphatase (ALP) activity, and alizarin red staining (ARS) on the titanium surface. Finally, the adhesion and spreading of cells on the titanium surface after electrical stimulation were observed. The results showed that the TENG had good electrical output performance, with an open-circuit voltage of 65 V and a short-circuit current of 42 μA. Compared with the rest of the current, a current strength of 30 μA significantly improved cell proliferation and migration, osteogenesis, and adhesion and spreading capabilities. The above results confirm the safety and operability of TENG in biomedical applications, laying the foundation for future TENG applications in reducing the time of bone integration around titanium implants after surgery.
Titanium/chemistry* ; Osteogenesis ; Animals ; Mice ; Osteoblasts/cytology* ; Electric Stimulation/instrumentation* ; Cell Adhesion ; Cell Proliferation ; Surface Properties ; Cell Differentiation ; Nanotechnology

OBJECTIVES: To explore the molecular mechanism of Jiangzhi Huaban Decoction (JZHBD) for improving atherosclerosis through the "qi meridian-blood channels" pathway. METHODS: ApoE^-/- mouse models of atherosclerosis were established by high-fat diet feeding for 8 weeks, with C57BL/6 mice on a normal diet as the controls. Forty ApoE^-/- mouse models were randomized into model group, low-, medium-, and high-dose JZHBD treatment groups, and atorvastatin treatment group (n=8) for their respective treatments for 8 weeks. The changes in body weight and overall condition of the mice were monitored weekly. After the treatments, serum levels of TC, TG, HDL-C, LDL-C, TBA, ALT, and AST of the mice were measured, pathological changes in the liver and aortic root plaques were examined with HE staining, and lipid accumulation in the liver and aortic wall was assessed using Oil Red O staining. The core molecular mechanism was studied through transcriptomics, and the expressions of the key pathway proteins were confirmed using Western blotting and immunohistochemistry. RESULTS: Treatment with JZHBD significantly reduced blood lipid and total bile acid levels, improved liver function and hepatic steatosis, and decreased aortic lipid deposition and plaque area in the mouse models of atherosclerosis. Transcriptomic analysis suggested that the therapeutic mechanism of JZHBD involved reverse cholesterol transport, PPAR signaling, and the inflammatory pathways. In atherosclerotic mice, JZHBD treatment obviously up-regulated hepatic expressions of PPARγ, LXRα, ABCA1, ABCG1, and CYP7A1, down-regulated hepatic expressions of p-p65/p65, IL-6, IL1β in the liver, increased ABCG5 and ABCG8 expressions in the intestines, and decreased ICAM-1 and VCAM-1 expressions in the aortic plaques. CONCLUSIONS JZHBD improves atherosclerotic vascular damage and plaque formation possibly by regulating hepatic reverse cholesterol transport and inflammation via modulating the hepatic PPARγ/LXRα/NF-κB signaling pathway.
Animals ; Drugs, Chinese Herbal/therapeutic use* ; Mice, Inbred C57BL ; Plaque, Atherosclerotic/metabolism* ; Liver/metabolism* ; Mice ; Atherosclerosis/metabolism* ; Cholesterol/metabolism* ; PPAR gamma/metabolism* ; Male ; Diet, High-Fat ; Biological Transport

Objective To explore the value of quantitative analysis of perirenal fat combined with Mayo adhesive probability(MAP)score in predicting the WHO/International Society of Urological Pathology(ISUP)nuclear grade of renal cell carcinoma(RCC).Methods The imaging data of 139 pathologically confirmed RCC patients were retrospectively analyzed.The patients were divided into low-grade group(grade Ⅰ-Ⅱ,n=112)and high-grade group(grade Ⅲ-Ⅳ,n=27)according to the WHO/ISUP nuclear grade.Spearman correlation analysis was used to assess the relationship between fat features and WHO/ISUP nuclear grade.The multivariate logistic regression model was used to detemine the related factors of high-grade RCC,and the area under the curve(AUC)of the receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of each parameter.Results The AUC of perirenal adipose tissue(PAT)％alone for evaluating high-grade RCC was the highest,at 0.77[95％confidence interval(CI)0.69-0.83].The stepwise multivariate logistic regression model showed that perinephric fat stranding(PFS)[odds ratio(OR)=34.54,95％CI 7.60-156.87,P＜0.001],PAT％(OR=0.46,95％CI 0.32-0.66,P＜0.001),and tumor location(OR=0.26,95％CI 0.07-0.92,P=0.037)were related factors of high-grade RCC,with an AUC of 0.90(95％CI 0.84-0.94).Conclusion Quantitative analysis of perire-nal fat combined with MAP score can effectively predict the WHO/ISUP nuclear grade of RCC,providing a novel approach for per-sonalized treatment strategies to improve prognosis.

Based on the concept of "regulating the five zang organs and harmonizing the spleen and stomach"， globus hystericus is believed to originate from dysfunction of the five zang organs and disharmony of the spleen and stomach. Treatment primarily focuses on regulating the spleen and stomach while also considering other affected organs， with a self-prescribed Anpiwei Jingyan Formula （安脾胃经验方） for harmonizing the spleen and stomach as the foundational treatment. Additionally， syndrome-based modifications are applied according to imbalances in the heart， lung， kidney， or liver. For heart-yang deficiency， modified Linggui Zhugan Decoction （苓桂术甘汤） could be combined； for heart-yin deficiency， modified Tianwang Buxin Pill （天王补心丹） could be combined. For lung failing to disperse and descend and fluid retention， modified Sanao Decoction （三拗汤） could be combined； for lung and stomach yin deficiency， modified Shashen Maidong Decoction （沙参麦冬汤） could be combined. For kidney-yang deficiency with ascending counterflow of cold water， modified Jingui Shensi Pill （金匮肾气丸） could be combined； for kidney-yin deficiency， modified Liuwei Dihuang Pill （六味地黄丸） could be combined. For liver constraint and spleen deficiency， modified Sini Powder （四逆散） could be combined； for liver-yin deficiency or liver stagnation transforming into fire and attacking the stomach， modified Yiguan Decoction （一贯煎） could be combined.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

As an intermediate phenotype for multiple cardiovascular diseases, left ventricular hypertrophy (LVH) benefits from early diagnosis, which allows for timely intervention to prevent worsening of the condition, mitigate severe complications like heart failure and arrhythmias, and consequently improve patient outcomes. Preliminary advances have been made using deep learning for the early diagnosis and identification of etiology in LVH. This paper reviews the pathophysiology, causes, and diagnostic standards for LVH, discusses the strengths and weaknesses of applying deep learning to diagnostic tools such as echocardiography, cardiac magnetic resonance imaging, and electrocardiogram, examines its use in prognostic evaluation, and concludes by summarizing current achievements and suggesting future research avenues.

Objective:To establish fingerprints and method for determining the content of two components of Qigong Pills.Methods:High performance liquid chromatography (HPLC) was used to establish the fingerprints of 10 batches of Qigong Pills and common peaks were identified. TCM Chromatographic Fingerprint Similarity Evaluation System (2012 Edition) was used for similarity analysis; the common peaks area was used as indicators, and SIMCA 14.1 was used for cluster analysis and principal component analysis for quality evaluation; a content analysis method was established using hesperidin and Atractylodes macrocephala as indicator components.Results:21 common peaks in the 10 batches of Qigong Pills were identified with the similarity greater than 0.952 (except for the sample S6); the clustering analysis results showed that at a measurement distance of 8, S6 was clustered into one category alone, S1 and S2 were clustered into one category, and the remaining samples were clustered into one major category. The content of hesperidin and Atractylodes macrocephala in 10 batches of Qigong Pills was 3.61-8.92 mg/g and 0.07-0.72 mg/g, respectively.Conclusion:The established HPLC fingerprints and content determination method in this study are stable, reliable, and reproducible, which can provide reference for quality control and evaluation of Qigong Pills.

Background:Optimizing cultivation techniques for traditional Chinese medicine has become a crucial means to improve the quality of medicinal materials.Microbial agents,as environmentally friendly and efficient plant growth promoters and soil conditioners,have increasingly attracted attention in eco-agriculture research.Objective:Our understanding remains limited regarding how the application of microbial agents,alone or in combination,affects changes in the rhizosphere microbiome and its association with the bioactive components of medicinal materials.Methods:In this study,Epimedium pubescens Maxim.was employed as a model plant to examine the effects of 2 microbial agents(Paenibacillus mucilaginosus and Bacillus subtilis)applied individually and in combination on plant growth and the accumulation of bioactive components.Additionally,this study explored the relationship between the rhizosphere microbiome and plant development.Results:The application of microbial agents increased the yield of E.pubescens leaves by 20.30％to 33.66％and enhanced the total flavonol glycosides content by 11.40％to 29.94％.Meanwhile,microbial treatments reshaped the rhizosphere microbiome,promoted the enrichment of beneficial microorganisms(e.g.,Frankia and Paenibacillus),suppressed phytopathogenic fungi such as Didymella and Scytalidium,and enhanced the stability of the soil microbial co-occurrence network.The partial least squares path model suggested that microbial agents not only directly impact the quality of medicinal herbs but also indirectly alter the accumula-tion of bioactive components by modulating the soil microbiome.Conclusion:These findings deepen our understanding of the relationship between medicinal plant quality and rhizosphere micro-biomes as mediated by microbial agents.They also provide a basis for designing and manipulating synthetic microbial communities to promote sustainable development in eco-agriculture.

Objective:To explore the construction requirements and solutions for a digital full-process management platform for Investigator-Initiated Trials (IIT) in pediatrics in China.Methods:By reviewing literature, the current status and highlights of pediatric IIT digital management systems in Europe and the United States were analyzed. The challenges faced in building a digital full-process management platform for pediatric IIT in China were summarized. The exploration and implementation achievements of our hospital in platform construction were introduced, and future construction priorities were proposed based on practical considerations.Results:The construction and application of digital full-process management platforms for pediatric IIT in Europe and the United States were relatively mature, providing comprehensive digital support for pediatric IIT research, ranging from project management to research design implementation, multi-center data interoperability, and personnel training. In China, the pediatric IIT digital management platform was still under construction, with main challenges including the formulation of construction plans based on hospital-specific conditions, data standardization, and remote recruitment and follow-up platforms.Conclusions:Considering the current status of pediatric IIT digital full-process management systems both domestically and internationally, efforts should be made to further strengthen data standardization, remote subject management, and digital pediatric IIT training from both policy and technical perspectives. This will provide one-stop services and management for projects and researchers, promoting the development of pediatric medical research.

Background: Optimizing cultivation techniques for traditional Chinese medicine has become a crucial means to improve the quality of medicinal materials. Microbial agents, as environmentally friendly and efficient plant growth promoters and soil conditioners, have increasingly attracted attention in eco-agriculture research. Objective: Our understanding remains limited regarding how the application of microbial agents, alone or in combination, affects changes in the rhizosphere microbiome and its association with the bioactive components of medicinal materials. Methods: In this study, Epimedium pubescens Maxim. was employed as a model plant to examine the effects of 2 microbial agents(Paenibacillus mucilaginosus and Bacillus subtilis) applied individually and in combination on plant growth and the accumulation of bioactive components. Additionally, this study explored the relationship between the rhizosphere microbiome and plant development. Results: The application of microbial agents increased the yield of E. pubescens leaves by 20.30% to 33.66% and enhanced the total flavonol glycosides content by 11.40% to 29.94%. Meanwhile, microbial treatments reshaped the rhizosphere microbiome, promoted the enrichment of beneficial microorganisms (e.g., Frankia and Paenibacillus), suppressed phytopathogenic fungi such as Didymella and Scytalidium, and enhanced the stability of the soil microbial co-occurrence network. The partial least squares path model suggested that microbial agents not only directly impact the quality of medicinal herbs but also indirectly alter the accumulation of bioactive components by modulating the soil microbiome. Conclusion: These findings deepen our understanding of the relationship between medicinal plant quality and rhizosphere microbiomes as mediated by microbial agents. They also provide a basis for designing and manipulating synthetic microbial communities to promote sustainable development in eco-agriculture.