Conectar
by Meirong Shan, Qian Guo, Ruofei Li, Ni Li, Yanhua Fu, Huanyu Qi, Ge Zhang, Qian Wang, Xingli Xu, Jinchuan Lai
Hypertension is one of the main causes of cardiovascular diseases worldwide, affecting over one billion people. Although aliskiren offers a valuable option for inhibiting the renin-angiotensin system, its safety profile in the real world remains insufficiently explored, especially for rare or under-recognized adverse events (AEs), which have not been fully clarified. Therefore, leveraging large-scale post-marketing surveillance data is crucial for identifying rare AEs and guiding safer clinical practice. This study aims to elucidate pharmacovigilance signals associated with aliskiren (an antihypertensive drug) by systematically analyzing the characteristics of adverse events (AEs) from the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database and WHO-VigiAccess database, which provides a reliable scientific basis for clinical practice and regulatory decision-making. We conducted a retrospective quantitative analysis of aliskiren-related AE reports from the aforementioned two databases, employing the Proportional Reporting Ratio (PRR), Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS) algorithms for signal detection. The results indicate that there were 5,596 and 5,549 aliskiren-related reports in the FAERS and WHO-VigiAccess databases, respectively. The median duration of these AEs during the observation period was 62 days, with an interquartile range (IQR) of 7–282 days. In both databases, signals for aliskiren were distributed across 28 System Organ Classes (SOCs), among which investigations, cardiac disorders, renal and urinary disorders, vascular disorders, and metabolism and nutrition disorders exhibited significant signals based on specific criteria applied across the four algorithms. A total of 607 preferred terms (PTs) with significant disproportionality signals were detected using the four algorithms, including potential AEs not previously well-documented, such as palpitations, myalgia, proteinuria, muscular weakness, pulmonary edema, and pollakiuria. This study not only confirms the known adverse reactions of aliskiren but also uncovers new potential risks, highlighting the importance of strengthening drug safety monitoring to enhance therapeutic efficacy and reduce the risk of adverse reactions. It provides valuable safety insights for physicians considering the use of aliskiren in the management of primary hypertension.by Fang-Yi Chen, Chin-Chu Chen, Chuan-Chin Chiao
The regenerative capacity of mammalian RGC neurites after damage, such as glaucoma, is limited. Numerous studies have utilized herbal extracts to promote neural regeneration and exert neuroprotective effects in the hope of mitigating glaucoma. In the present study, we investigated the effect of extracts from the cicada fungus (Cordyceps cicadae) and the Lion’s mane mushroom (Hericium erinaceus) on neurite outgrowth of retinal explants and isolated RGCs. We also examined whether these extracts affect the number of apoptotic cells and neurite outgrowth activity of RGCs. The results showed that an aqueous extract of Cordyceps cicadae, an ethanol extract of Hericium erinaceus, and the purified compound Erinacine Sare able to promote neurite outgrowth in retinal explants. Given its role as a key bioactive compound, Erinacine S was further investigated on isolated RGCs, where it also significantly enhanced neurite outgrowth, demonstrating a direct effect on RGC regeneration. In addition, these extracts have no significant drawbacks in terms of cell apoptosis and RGC neurite outgrowth activity at specific concentrations. The present study thus demonstrates that while excessively high concentrations of these extracts may inhibit neurite growth, at moderate concentrations some extracts from Cordyceps cicadae and Hericium erinaceus have the potential of promoting neurite regeneration in the mammalian retina. Further research targeting the molecular mechanisms behind these effects may shed light on their potential application as a medicine or nutraceutical for facilitating neural regeneration.by Ploy Khongrungjarat, Chonnikan Tothong, Chanyanut Pankaew, Suchada Phimsen, Nopawit Khamto, Nutthamon Kijchalao, Warissara Wongkham, Piyathida Wongkham, Wipaporn Chuaymaung, Adsadayu Thonnondang, Apinun Limmongkon
Prenylated stilbenoids, particularly trans-arachidin-1 (Ara-1) and trans-arachidin-3 (Ara-3), have gained attention for their notable bioactivities and potential health-promoting properties. This study presents the first comprehensive investigation into the stability and biological efficacy of these compounds in both peanut hairy root culture crude extracts (PCE) and partially purified fractions derived from elicited peanut hairy root cultures. PCE stored at –20 °C and 4 °C maintained higher antioxidant capacity, total phenolic content compared to samples stored at room temperature. In cytotoxicity assays using SW480 colon cancer cells, the extract stored at –20 °C retained bioactivity with only minor changes in IC₅₀ values over three months, demonstrating superior stability under frozen conditions. Over a six-month period, partially purified fractions of Ara-1 and Ara-3 showed a time-dependent decline in compound content. However, Ara-3 maintained strong cytotoxicity against KKU-100 cholangiocarcinoma cells, while Ara-1 exhibited a significant loss in activity. These findings demonstrate that low-temperature storage, particularly at –20 °C, is crucial for preserving the chemical integrity and bioactivity of stilbenoid-rich extracts. The study underscores the importance of optimizing storage conditions to ensure consistent bioactivity, supporting the potential application of these compounds in the development of stable and effective pharmaceutical or nutraceutical products.by Nguyen Hong Tan, Tran Manh Tuan, Pham Minh Chuan, Nguyen Duc Hoang, Le Quang Thanh, Le Hoang Son
Artificial Intelligence (AI) has been dramatically applied to healthcare in various tasks to support clinicians in disease diagnosis and prognosis. It has been known that accurate diagnosis must be drawn from multiple evidence, namely clinical records, X-Ray images, IoT data, etc called the multi-modal data. Despite the existence of various approaches for multi-modal medical data fusion, the development of comprehensive systems capable of integrating data from multiple sources and modalities remains a considerable challenge. Besides, many machine learning models face difficulties in representation and computation due to the uncertainty and diversity of medical data. This study proposes a novel multi-modal fuzzy knowledge graph framework, called FKG-MM, which integrates multi-modal medical data from multiple sources, offering enhanced computational performance compared to unimodal data. In addition, the FKG-MM framework is based on the fuzzy knowledge graph model, one of the models that represent and compute effectively with medical data in tabular form. Through some experiment scenarios utilizing the well-known BRSET dataset on multi-modal diabetic retinopathy, it has been experimentally validated that the feature selection method, when combining image features with tabular medical data features, gives the highest reliability results among 5 methods including Feature Selection Method, Tensor Product, Hadamard Product, Filter Selection, and Wrapper Selection. In addition, the experiment also confirms that the accuracy of FKG-MM increases by 12–14% when combining image data with tabular medical data than the related methods diagnosing only on tabular data.by Xiaoliang Wan, Feiyao Deng, Xue Bai, Chenxi Xiang, Chuan Xu, Linxiao Qiu
Dysregulated serum chloride levels are prevalent in critically ill patients. However, their clinical impact remains unclear. This first systematic review and meta-analysis quantified the prevalence of hypochloremia and hyperchloremia, and their associations with mortality and acute kidney injury (AKI) in critically ill populations. We searched PubMed, Embase, Web of Science, and the Cochrane Library for studies reporting hyperchloremia prevalence or outcomes in adult ICU patients until August 2025. Statistical analyses were conducted using Stata v16.0, and study quality was assessed using the Newcastle-Ottawa Scale. 34 studies (n = 175,021 patients) were included. The aggregated prevalence of hyperchloremia was 34% (95% CI [26%−43%]) and hypochloremia was 14% (95% CI [1%−28%]). Meta-analysis demonstrated that both hyperchloremia and hypochloremia were significantly associated with increased mortality, conferring a 28% (OR = 1.28, 95% CI [1.08–1.52]) and 55% (OR = 1.55%, 95% CI [1.33–1.81]) elevated risk for mortality, respectively. Crucially, a dose-response analysis revealed a non-linear relationship between serum chloride levels and mortality, confirming that the risk is independently elevated at both extremes. Furthermore, hyperchloremia was linked to an increased risk of AKI (OR = 1.40, 95% CI [1.07–1.85]). These findings establish dysregulated serum chloride as a common and clinically significant biomarker, underscoring the necessity of monitoring and managing both high and low chloride levels in critically ill patients. Future large-scale studies are warranted to validate these results and elucidate the mechanistic pathways linking chloride dysregulation to such adverse outcomes.by Jun Zhang, Mengduan Pang, Ling Li, Chuanjia Guo
BackgroundEndometriosis is a common gynecological disorder among women of reproductive age worldwide. This study aims to examine global patterns of endometriosis disease burden among reproductive-aged women and to evaluate its correlation with socioeconomic development indices.
MethodsThis study conducted a comprehensive analysis of endometriosis disease burden using epidemiological parameters from the Global Burden of Disease (GBD) 2021 database, including incidence rates, prevalence rates, Disability-Adjusted Life Years (DALYs), and corresponding age-standardized rates. Through stratified analyses at global, regional, and national levels, we systematically evaluated the disease burden patterns among reproductive-aged women and performed correlation analysis with socioeconomic development indices.
ResultsWe found that the highest incidence of endometriosis among women of reproductive age globally occurs in the 20–24 age group, with an incidence rate of 399.49 per 100,000 in 1990 and 304.31 per 100,000 in 2021. The results show that the global disease burden of endometriosis is mainly influenced by population size, followed by epidemiological changes. Compared to countries with a medium Social Development Index (SDI), the disease burden of endometriosis in low and high SDI regions fluctuated significantly from 1990 to 2021. In most countries with SDI values between 0.2 and 0.6, the burden of endometriosis showed a gradual decline.
ConclusionEndometriosis remains a significant public health issue for women of reproductive age globally. Although the global disease burden of endometriosis among women of reproductive age showed a slight decline from 1990 to 2021, the disease burden continues to fluctuate in certain regions and countries. In light of the differences in the disease burden of endometriosis across regions and countries, regionalized disease management strategies are expected to be developed in the future.
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