Through network pharmacology and molecular docking technology, combined with in vitro experiment verification, we explored the mechanism of action of Porana racemosa Roxb. (PRA) in the treatment of rheumatoid arthritis (RA), and provided a modern pharmacological basis for the treatment of RA by PRA. The potential target of chemical components in the analyzed moth rattan was predicted by Swiss Target Prediction database; OMIM, GeneCards, TTD and Disgenet databases were used to search the disease targets of RA; the protein interaction (PPI) network and medicine-composition-target network were constructed using STRING database and Cytoscape software; GO (gene ontology) functional enrichment and KEGG (kyoto encyclopedia of genes and genomes) pathway analysis were carried out using DAVID database, and molecular docking software was used to dock the potentially active ingredients of PRA and core targets; finally, MH7A cells were selected for cell viability, scratch healing and mRNA expression level analysis of key genes to explore the effects of PRA and their potentially active ingredients on the proliferation, migration and apoptosis of MH7A cells. In this study, a total of 628 potentially active ingredient targets, 1 890 RA targets and 235 intersection targets were identified. It was screened that the potentially active ingredients of RA treatment by PRA were ethylcaffeate, N-p-coumaroyltyramine, 9,12,15-octadecatrienoic acid, methyl ester and so on, and the core targets involved tumor necrosis factor (TNF), matrix metalloproteinase 9 (MMP9), prostaglandin-endoperoxide synthase 2 (PTGS2) and so on. 1 200 GO entries and 166 KEGG pathway entries were obtained from the enrichment analysis; molecular docking results showed that N-p-coumaroyltyramine and ethylcaffeate had good binding activity with TNF, MMP9, cysteine-aspartate protease 3 (CASP3), PTGS2, B-cell lymphoma 2 (BCL2) proteins. In vitro experiments showed that PRA, ethylcaffeate and N-p-coumaroyltyramine could inhibit the proliferation, migration and invasion of MH7A cells, up-regulate the expression of apoptosis-related gene CASP3 mRNA, and down-regulate the expression of MMP9, PTGS2 and BCL2 mRNA, and it can also down-regulate the expression of phosphatidylinositol 3-kinase (PI3K) and protein kinase B (AKT) mRNA and PI3K and p-AKT proteins. This study preliminarily revealed that the treatment of RA by PRA may be related to proliferation, migration, invasion, apoptosis and regulation of PI3K/AKT signaling pathway.

Osteoporosis is a common bone metabolic disease， which is mainly characterized by the decrease in the number of bone trabeculae and the destruction of bone tissue microstructure， leading to increased bone fragility and fracture risks. This disease is common in postmenopausal women， elderly men， diabetes patients， and obese people. Due to the lack of awareness to prevent bone losses and the limitations of bone mass measurement methods， osteoporosis is only concerned when there are serious complications， which imposes a heavy burden on both patients and medical resources. Oxidative stress refers to the excessive production of highly active molecules such as reactive oxygen species and reactive nitrogen in the body subjected to harmful stimuli， leading to the imbalance between the oxidative and antioxidant systems and causing oxidative damage. Studies have shown that oxidative stress can increase the generation and activity of osteoclasts and inhibit the differentiation of osteoblasts， thus playing a role in the occurrence and development of osteoporosis. Traditional Chinese medicine （TCM） is considered an effective antioxidant that can alleviate oxidative stress-induced osteoporosis by regulating a variety of signaling pathways. Studies have shown that TCM can alleviate oxidative stress and promote bone angiogenesis and osteogenesis by regulating the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）， nuclear factor-kappa B， and nuclear factor erythroid 2-related factor （Nrf2） signaling pathways. TCM alleviates oxidative stress and promotes osteogenesis by regulating the Nrf2， PI3K/Akt/mammalian target of rapamycin， and secreted glycoprotein Wnt/β-catenin signaling pathways. In addition， TCM regulates NF-κB， mitogen-activated protein kinase， and receptor activator of nuclear factor kappa B （RANK）/RANK ligand/osteoprotegerin signaling pathway to alleviate excessive bone resorption induced by oxidative stress. This paper systematically summarizes the literature on the prevention and treatment of osteoporosis by TCM or its active ingredients via the above-mentioned signaling pathways to reduce oxidative stress in recent years. It briefs the possible molecular mechanisms of oxidative stress regulation-related signaling pathways to cause osteoporosis. In addition， this paper discusses the effects and mechanisms of TCM on bone angiogenesis， osteogenesis， and bone resorption by reducing oxidative stress through the regulation of related signaling pathways， aiming to provide a theoretical basis for the research and clinical treatment of osteoporosis.

Objective To explore the safety and effects of alpha-lipoic acid (ALA) in patients with ischemic heart failure (IHF). Methods A randomized, double-blind, placebo-controlled trial was designed (ClinicalTrial.gov registration number NCT03491969). From January 2019 to January 2023, 300 patients with IHF were enrolled in four medical centers in China, and were randomly assigned at a 1∶1 ratio to receive ALA (600 mg daily) or placebo on top of standard care for 24 months. The primary outcome was the composite outcome of hospitalization for heart failure (HF) or all-cause mortality events. The second outcome included non-fatal myocardial infarction (MI), non-fatal stroke, changes of left ventricular ejection fraction (LVEF) and 6-minute walking distance (6MWD) from baseline to 24 months after randomization. Results Finally, 138 patients of the ALA group and 139 patients of the placebo group attained the primary outcome. Hospitalization for HF or all-cause mortality events occurred in 32 patients (23.2%) of the ALA group and in 40 patients (28.8%) of the placebo group (HR＝0.753, 95%CI 0.473-1.198, P＝0.231; Figure 1A-1C). The absolute risk reduction (ARR) was 5.6%, the relative risk reduction (RRR) associated with ALA therapy was approximately 19.4% compared to placebo, corresponding to a number needed to treat (NNT) of 18 patients to prevent one event. In the secondary outcome analysis, the composite outcome of the major adverse cardiovascular events (MACE) including the hospitalization for HF, all-cause mortality events, non-fatal MI or non-fatal stroke occurred in 35 patients (25.4%) in the ALA group and 47 patients (33.8%) in the placebo group (HR＝0.685, 95%CI 0.442-1.062, P＝0.091; Figure 1D). Moreover, greater improvement in LVEF (β＝3.20, 95%CI 1.14-5.23, P＝0.002) and 6MWD (β＝31.7, 95%CI 8.3-54.7, P＝0.008) from baseline to 24 months after randomization were observed in the ALA group as compared to the placebo group. There were no differences in adverse events between the study groups. Conclusions These results show potential long-term beneficial effects of adding ALA to IHF patients. ALA could significantly improve LVEF and 6MWD compared to the placebo group in IHF patients.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Blood biochemical indicators are an important basis for the diagnosis and treatment by doctors. The performance of related instruments, the qualification of operators, the storage method and time of blood samples and other factors will affect the accuracy of test results. However, it is difficult to meet the clinical needs of rapid detection and early screening of diseases with currently available methods. Point-of-care testing (POCT) is a new diagnostic technology with the characteristics of instant, portability, accuracy and efficiency. Microfluidic chips can provide an ideal experimental reaction platform for POCT. This paper summarizes the existing detection methods for common biochemical indicators such as blood glucose, lactic acid, uric acid, dopamine and cholesterol, and focuses on the application status of POCT based on microfluidic technology in blood biochemistry. It also summarizes the advantages and challenges of existing methods and prospects for development. The purpose of this paper is to provide relevant basis for breaking through the technical barriers of microfluidic and POCT product development in China.
Humans ; Point-of-Care Testing ; Lactic Acid/blood* ; Microfluidic Analytical Techniques/methods* ; Blood Glucose/analysis* ; Point-of-Care Systems ; Blood Chemical Analysis/instrumentation* ; Uric Acid/blood* ; Cholesterol/blood* ; Dopamine/blood* ; Microfluidics/methods*

OBJECTIVE: To evaluate the efficacy of shockwave therapy, acupuncture, hyperthermia, biofeedback therapy, electrical nerve stimulation, magnetotherapy and ultrasound therapy in the treatment of chronic prostatitis/chronic pelvic pain syndrome(CP/CPPS), and to provide evidence-based support for clinical decision-making. METHODS: Two researchers independently searched PubMed, Web of Science, Embase, Cochrane Library, CNKI, Wanfang, VIP and Chinese Biomedical Literature databases for randomized controlled trials(RCTs) on the effects of different interventions on CP/CPPS from the establishment of the databases to August 2024. We evaluated the quality of the included literature and extracted the relevant data according to the Cochrane Handbook for Systematic Reviews of Interventions, followed by network meta-analysis using Revman 5.3, R 4.33 and Stata17 software. RESULTS: A total of 25 RCTs involving 1 794 cases were included. The results of network meta-analysis showed that electrical nerve stimulation, shockwave therapy, biofeedback therapy, magnetotherapy, ultrasound therapy and acupuncture were significantly superior to conventional medication and placebo in the total NIH-CPSI scores(P< 0.05), and so were electrical nerve stimulation and shockwave therapy to acupuncture and hyperthermia(P< 0.05), magnetic therapy to hyperthermia, and ultrasound therapy to placebo(P< 0.05). Shockwave therapy, biofeedback therapy, electrical nerve stimulation, magnetotherapy and ultrasound therapy achieved remarkably better clinical efficacy than conventional medication and placebo in the treatment of CP/CPPS, and so did shockwave therapy than electrical nerve stimulation, hyperthermia, ultrasonic therapy, magnetotherapy and acupuncture. CONCLUSION For the treatment of CP/CPPS, electrical nerve stimulation is advantageous over the other interventions in improving total NIH-CPSI scores, and shockwave therapy is advantageous in relieving pain symptoms and clinical efficacy. This conclusion, however, needs to be further verified by more high-quality clinical studies.
Humans ; Acupuncture Therapy ; Biofeedback, Psychology ; Chronic Disease ; Electric Stimulation Therapy ; Extracorporeal Shockwave Therapy ; Magnetic Field Therapy ; Pelvic Pain/therapy* ; Prostatitis/therapy* ; Randomized Controlled Trials as Topic ; Ultrasonic Therapy

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.