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Myocardial ischemia (MI), a condition in which the heart is unable to function due to insufficient blood and oxygen supply, is a major cause of death from coronary heart disease (CHD). Yiqi Tongluo capsule (YTC) is a Chinese patent drug which commonly used for treatment of MI in clinic. However, the related active components of YTC for treatment of MI were still uncovered. This paper is aimed to study the quality markers (Q-markers) of YTC and further optimize the extraction process of YTC based on Q-markers, providing research foundation for the further modern pharmaceutical preparations of YTC. We firstly used UPLC-QTOF-MS to analyze the constituents of YTC absorbed in blood, then isoprenaline (ISO) induced H9c2 cell model was used further screen the active constituents with protective effects on cardiomyocytes. After that, the orthogonal table (L9 (3)) was used to optimize the extraction process with three levels of 4 factors (water addition, immersion time, extraction time and decoction times). Finally, the HPLC fingerprint of 15 batches of optimized YTC was established. In our present study, a total of 33 components were identified in YTC, of which 10 components were absorbed in blood. Among the 10 components, 8 compounds had significant protective effects on ISO stimulated H9c2 cells, including Paeoniflorin, Ferulic acid, Calycosin, Senkyunolide A, N-butylphthalide, Z-ligustilide, LevistilideA, and Astragaloside IV, which were considered as the Q-markers of YTC. The optimized extraction process based on Q-marker as follows: soaking 1 h, then adding 8 times water to extract 3 times by decoction, each extraction lasts 1.5 h. The HPLC fingerprint of optimized YTC was established with 15 batches of YTC samples, and the optimized YTC samples has no significant toxicity to the heart, liver, spleen, lungs, and brain tissues of rats.
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http://dx.doi.org/10.1016/j.jchromb.2023.123926 | DOI Listing |
JMIR Med Inform
September 2025
Departments of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, China, 86 18922109279, 86 20852523108.
Background: Despite the Coronary Artery Reporting and Data System (CAD-RADS) providing a standardized approach, radiologists continue to favor free-text reports. This preference creates significant challenges for data extraction and analysis in longitudinal studies, potentially limiting large-scale research and quality assessment initiatives.
Objective: To evaluate the ability of the generative pre-trained transformer (GPT)-4o model to convert real-world coronary computed tomography angiography (CCTA) free-text reports into structured data and automatically identify CAD-RADS categories and P categories.
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFBraz Oral Res
September 2025
Universidade de Passo Fundo - UPF, School of Dentistry, Post-Graduation Program in Dentistry, Passo Fundo, RS, Brazil.
This study evaluated the influence of a customized healing abutment (CHA) placed on immediate implants. It also assessed bone ridge volume, keratinized mucosal collar, and postoperative pain. Thirty-one patients needing tooth extraction and immediate implant were selected.
View Article and Find Full Text PDFBraz Oral Res
September 2025
Universidade Federal do Rio Grande do Norte -UFRN, Department of Dentistry, Natal, RN, Brazil.
This study aimed to histomorphometrically evaluate the effect of guided bone regeneration (GBR) and two implant surfaces on the thickness and height of newly formed bone in dehiscence defects around titanium implants. Three premolars and the first bilateral molar were extracted from ten adult mongrel dogs, and 40 buccal bone dehiscences measuring 5 mm in height and 4 mm in width were created using a University of North Carolina (UNC) periodontal probe to confirm the dimensions. Forty implants were randomly assigned to one of four groups: oxidized implant surfaces (OIS, n = 10), turned/machined implant surfaces (TIS, n = 10), OIS + GBR (n = 10), and TIS + GBR (n = 10).
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science, CHART Laboratory, University of Nottingham, Nottingham, United Kingdom.
Background And Objective: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted reproductive technology outcomes. Traditional manual analysis performed by embryologists is time-intensive, subjective, and prone to significant inter-observer variability, with studies reporting up to 40% disagreement between expert evaluators. This research presents a novel deep learning framework combining Convolutional Block Attention Module (CBAM) with ResNet50 architecture and advanced deep feature engineering (DFE) techniques for automated, objective sperm morphology classification.
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