ObjectiveTo evaluate the effects of phases on the pharmacokinetic behavior of seven components from Banxia Xiexintang（BXT） in normal rats by investigating and comparing their pharmacokinetic profiles in different phase samples. MethodsThe phase separation of BXT was carried out by centrifugation-dialysis method， and three phase samples were obtained， including the precipitated phase（PP）， colloidal phase（CP） and true solution phase（TP）. A total of 24 male SD rats were randomly divided into BXT， PP， CP and TP groups（n=6）. The BXT group was gavaged at a dose of 24.1 g·kg^-1（calculated by the dosage of raw materials）. After proper treatments， PP， CP and TP groups were administrated at the same dose as that of BXT group， respectively. Blood was collected from each group at set time points after gavage of BXT and the phase samples. The contents of 7 components（baicalin， wogonoside， wogonin， berberine， palmatine， ammonium glycyrrhizinate and isoliquiritin） in rat plasma were determined by ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS）， and the pharmacokinetic parameters of each component were analyzed by DAS 2.0. ResultsThe peak concentration of baicalin was the highest among the blood-entered components in each group， followed by wogonoside. The results of the concentration-time curves and pharmacokinetic parameters of the 7 components showed that the area under the concentration-time curve（AUC） of isoliquiritin in the BXT group was the highest， followed by that in the CP group. AUC values of baicalin， wogonoside， wogonin and ammonium glycyrrhizinate in the BXT group were similar to those of the CP group， and AUC of palmatine in the BXT group was similar to that of the PP group. The elimination half-life（t_1/2） values of baicalin and wogonoside in the BXT group was the longest， the t_1/2 values of ammonium glycyrrhizinate and berberine were similar to those of the CP group， and the t_1/2 of palmatine was similar to that of the PP group. The t_1/2 of wogonin was the longest in the PP group， and the t_1/2 of isoliquiritin was the longest in the TP group was the longest， which was similar to that in the PP group. Except for isoliquiritin， the other 6 components showed double peaks in the concentration-time curve of the PP group， indicating that the above components might be reabsorbed through the enterohepatic circulation in vivo， which resulted in the maintenance of high plasma concentrations for a long time， and consequently exhibited sustained-release properties. ConclusionThe pharmacokinetic characteristics of the components in different phases were different， and the CP phase may be the effective phase from the perspective of the pharmacological action of BXT. Compared with the BXT group， the in vivo action times of some components in the CP and PP groups were prolonged. The study explores the phase differences of traditional Chinese medicine（TCM） compound decoction in the aspect of pharmacokinetics， and verifies that the phase states from TCM compound decoction will affect the pharmacokinetic behaviors of the active components， which may consequently lead to the difference in in vivo effects.

ObjectiveTo evaluate the effects of phases on the pharmacokinetic behavior of seven components from Banxia Xiexintang（BXT） in normal rats by investigating and comparing their pharmacokinetic profiles in different phase samples. MethodsThe phase separation of BXT was carried out by centrifugation-dialysis method， and three phase samples were obtained， including the precipitated phase（PP）， colloidal phase（CP） and true solution phase（TP）. A total of 24 male SD rats were randomly divided into BXT， PP， CP and TP groups（n=6）. The BXT group was gavaged at a dose of 24.1 g·kg^-1（calculated by the dosage of raw materials）. After proper treatments， PP， CP and TP groups were administrated at the same dose as that of BXT group， respectively. Blood was collected from each group at set time points after gavage of BXT and the phase samples. The contents of 7 components（baicalin， wogonoside， wogonin， berberine， palmatine， ammonium glycyrrhizinate and isoliquiritin） in rat plasma were determined by ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS）， and the pharmacokinetic parameters of each component were analyzed by DAS 2.0. ResultsThe peak concentration of baicalin was the highest among the blood-entered components in each group， followed by wogonoside. The results of the concentration-time curves and pharmacokinetic parameters of the 7 components showed that the area under the concentration-time curve（AUC） of isoliquiritin in the BXT group was the highest， followed by that in the CP group. AUC values of baicalin， wogonoside， wogonin and ammonium glycyrrhizinate in the BXT group were similar to those of the CP group， and AUC of palmatine in the BXT group was similar to that of the PP group. The elimination half-life（t_1/2） values of baicalin and wogonoside in the BXT group was the longest， the t_1/2 values of ammonium glycyrrhizinate and berberine were similar to those of the CP group， and the t_1/2 of palmatine was similar to that of the PP group. The t_1/2 of wogonin was the longest in the PP group， and the t_1/2 of isoliquiritin was the longest in the TP group was the longest， which was similar to that in the PP group. Except for isoliquiritin， the other 6 components showed double peaks in the concentration-time curve of the PP group， indicating that the above components might be reabsorbed through the enterohepatic circulation in vivo， which resulted in the maintenance of high plasma concentrations for a long time， and consequently exhibited sustained-release properties. ConclusionThe pharmacokinetic characteristics of the components in different phases were different， and the CP phase may be the effective phase from the perspective of the pharmacological action of BXT. Compared with the BXT group， the in vivo action times of some components in the CP and PP groups were prolonged. The study explores the phase differences of traditional Chinese medicine（TCM） compound decoction in the aspect of pharmacokinetics， and verifies that the phase states from TCM compound decoction will affect the pharmacokinetic behaviors of the active components， which may consequently lead to the difference in in vivo effects.

Algorithmic systems based on artificial intelligence(AI)and machine learning(ML)have undergone rapid advancement in recent years, demonstrating extensive application across diverse ophthalmic disorders. Owing to the public availability of multiple global databases, significant progress has been achieved in the training and development of AI-integrated algorithms utilizing multimodal ophthalmic imaging modalities, including fundus photography and optical coherence tomography(OCT). These advancements have established a foundation for precision medicine and efficient healthcare delivery. The diagnosis of macular diseases relies on the identification of subtle alterations in tissue anatomy, where AI demonstrated exceptional performance in detecting intraocular biomarkers and evaluating anatomical changes during disease progression, with particularly prominent utility in the field of macular pathologies. This article provides a comprehensive review of the current applications of AI in macular diseases, aiming to synthesize existing research achievements and current challenges, while proposing visionary prospects for the broader implementation of AI in ophthalmology and even systemic medicine in the future.

Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of Rehmannia glutinosa by various chromatographic techniques such as silica gel, MCI gel CHP-20, ODS, Toyopearl HW-40C, combined with TLC and semi-preparative HPLC. Their structures were elucidated by modern spectroscopy techniques (NMR, MS, UV, IR), and identified as neomartynoside A (1), osmanthuside B₆ (2), martynoside (3), isomartynoside (4), (E)-p-hydroxycinnamic acid (5), caffeic acid (6), ferulic acid (7), and methyl caffeate (8). Compound 1 is a new phenylethanol glycoside, which was identified as neomartynoside A. Compound 2 was isolated from Rehmannia glutinosa for the first time. In addition, compounds 2, 6 and 7 significantly increased relative glucose consumption, showing potential hypoglycemic activity.

As the population is aging rapidly,the incidence of Alzheimer's disease(AD)is increasing year by year.The World Health Organization stresses that early prevention plays a key role in reducing the incidence of AD.Subjective cognitive decline(SCD)is an early window of AD development,and timely intervention can effectively slow down the progression of the disease or prevent it from developing into dementia,thus reducing the burden on the society.White matter hyperintensity(WMH)can effectively reflect white matter changes and provide strong evidence to identify SCD.In this paper,we review the recent research progress in WMH and SCD,reveal the problems in the current research on WMH,explain the correlation between WMH and SCD in terms of physiopathology and cognitive function,and put forward several suggestions for the future research.
Humans ; White Matter/pathology* ; Cognitive Dysfunction/pathology* ; Alzheimer Disease/pathology* ; Magnetic Resonance Imaging

OBJECTIVE: To characterize the occurrence of SRSF2 mutations in chronic myelomonocytic leukemia(CMML) patients and their correlation with other gene mutations and some clinical characteristics. METHODS: The clinical data of 43 CMML patients diagnosed in Changzhou No.2 People's Hospital and Wuxi No.2 People's Hospital were retrospectively analyzed, and gene mutations detection was performed using next-generation sequencing (NGS). RESULTS: Among the 43 CMML patients the SRSF2 mutation detection rate was 39.5%(17/43). These mutations clustered collectively at the proline 95 residue in the splicing factor SRSF2. The other genes with mutation rate greater than 15% were ASXL1 (48.8%), TET2 (41.9%), NRAS (30.2%), RUNX1 (25.6%), and SETBP1 (16.3%). Among SRSF2- mutated patients, the most common co-mutation was ASXL1, followed by TET2. The median age of SRSF2 mutant patients was significantly higher than that of the wild type (68 vs 51.5, P < 0.001), but there was not statistically significant differences in gender, peripheral leukocytes, hemoglobin, platelets, karyotype, and blast cell compared to the wild-type (all P >0.05). Notably, 4 out of the 6 SRSF2 ^mutASXL1^mut CMML patients developed leukemia transformation, and 1 out of 10 SRSF2 ^wtASXL1^wt CMML patients developed leukemia transformation, with statistically significant difference in leukemia transformation rates (66.7% vs 10%, P =0.036). CONCLUSION SRSF2 mutations have a high incidence in CMML, occurring frequently in older patients, and often coexisting with ASXL1 and TET2 mutations. Patients with CMML carrying both SRSF2^mut ASXL1^mut double mutations have a higher risk of acute leukemia transformation.
Humans ; Serine-Arginine Splicing Factors/genetics* ; Mutation ; Leukemia, Myelomonocytic, Chronic/genetics* ; Retrospective Studies ; Male ; Female ; Repressor Proteins/genetics* ; DNA-Binding Proteins/genetics* ; Dioxygenases ; Middle Aged ; Aged ; Proto-Oncogene Proteins/genetics*

Quantum dots (QDs), nanoscale semiconductor crystals, have emerged as a revolutionary class of nanomaterials with unique optical and electrochemical properties, making them highly promising for applications in disease diagnosis and treatment. Their tunable emission spectra, long-term photostability, high quantum yield, and excellent charge carrier mobility enable precise control over light emission and efficient charge utilization, which are critical for biomedical applications. This article provides a comprehensive review of recent advancements in the use of quantum dots for disease diagnosis and therapy, highlighting their potential and the challenges involved in clinical translation. Quantum dots can be classified based on their elemental composition and structural configuration. For instance, IB-IIIA-VIA group quantum dots and core-shell structured quantum dots are among the most widely studied types. These classifications are essential for understanding their diverse functionalities and applications. In disease diagnosis, quantum dots have demonstrated remarkable potential due to their high brightness, photostability, and ability to provide precise biomarker detection. They are extensively used in bioimaging technologies, enabling high-resolution imaging of cells, tissues, and even individual biomolecules. As fluorescent markers, quantum dots facilitate cell tracking, biosensing, and the detection of diseases such as cancer, bacterial and viral infections, and immune-related disorders. Their ability to provide real-time, in vivo tracking of cellular processes has opened new avenues for early and accurate disease detection. In the realm of disease treatment, quantum dots serve as versatile nanocarriers for targeted drug delivery. Their nanoscale size and surface modifiability allow them to transport therapeutic agents to specific sites, improving drug bioavailability and reducing off-target effects. Additionally, quantum dots have shown promise as photosensitizers in photodynamic therapy (PDT). When exposed to specific wavelengths of light, quantum dots interact with oxygen molecules to generate reactive oxygen species (ROS), which can selectively destroy malignant cells, vascular lesions, and microbial infections. This targeted approach minimizes damage to healthy tissues, making PDT a promising strategy for treating complex diseases. Despite these advancements, the translation of quantum dots from research to clinical application faces significant challenges. Issues such as toxicity, stability, and scalability in industrial production remain major obstacles. The potential toxicity of quantum dots, particularly to vital organs, has raised concerns about their long-term safety. Researchers are actively exploring strategies to mitigate these risks, including surface modification, coating, and encapsulation techniques, which can enhance biocompatibility and reduce toxicity. Furthermore, improving the stability of quantum dots under physiological conditions is crucial for their effective use in biomedical applications. Advances in surface engineering and the development of novel encapsulation methods have shown promise in addressing these stability concerns. Industrial production of quantum dots also presents challenges, particularly in achieving consistent quality and scalability. Recent innovations in synthesis techniques and manufacturing processes are paving the way for large-scale production, which is essential for their widespread adoption in clinical settings. This article provides an in-depth analysis of the latest research progress in quantum dot applications, including drug delivery, bioimaging, biosensing, photodynamic therapy, and pathogen detection. It also discusses the multiple barriers hindering their clinical use and explores potential solutions to overcome these challenges. The review concludes with a forward-looking perspective on the future directions of quantum dot research, emphasizing the need for further studies on toxicity mitigation, stability enhancement, and scalable production. By addressing these critical issues, quantum dots can realize their full potential as transformative tools in disease diagnosis and treatment, ultimately improving patient outcomes and advancing biomedical science.

A primary hallmark of pathological cardiac hypertrophy is excess protein synthesis due to enhanced translational activity. However, regulatory mechanisms at the translational level under cardiac stress remain poorly understood. Here we examined the translational regulations in a mouse cardiac hypertrophy model induced by transaortic constriction (TAC) and explored the conservative networks versus the translatome pattern in human dilated cardiomyopathy (DCM). The results showed that the heart weight to body weight ratio was significantly elevated, and the ejection fraction and fractional shortening significantly decreased 8 weeks after TAC. Puromycin incorporation assay showed that TAC significantly increased protein synthesis rate in the left ventricle. RNA-seq revealed 1,632 differentially expressed genes showing functional enrichment in pathways including extracellular matrix remodeling, metabolic processes, and signaling cascades associated with pathological cardiomyocyte growth. When combined with ribosome profiling analysis, we revealed that translation efficiency (TE) of 1,495 genes was enhanced, while the TE of 933 genes was inhibited following TAC. In DCM patients, 1,354 genes were upregulated versus 1,213 genes were downregulated at the translation level. Although the majority of the genes were not shared between mouse and human, we identified 93 genes, including Nos3, Kcnj8, Adcy4, Itpr1, Fasn, Scd1, etc., with highly conserved translational regulations. These genes were remarkably associated with myocardial function, signal transduction, and energy metabolism, particularly related to cGMP-PKG signaling and fatty acid metabolism. Motif analysis revealed enriched regulatory elements in the 5' untranslated regions (5'UTRs) of transcripts with differential TE, which exhibited strong cross-species sequence conservation. Our study revealed novel regulatory mechanisms at the translational level in cardiac hypertrophy and identified conserved translation-sensitive targets with potential applications to treat cardiac hypertrophy and heart failure in the clinic.
Animals ; Humans ; Cardiomegaly/physiopathology* ; Ribosomes/physiology* ; Protein Biosynthesis/physiology* ; Mice ; Cardiomyopathy, Dilated/genetics* ; Ribosome Profiling

This study selected 6 529 plant-based Chinese materia medica(PCMM) from Chinese Materia Medica as research subjects and applied a random permutation test to explore the overall correlation characteristics between nature and flavor, as well as the correlation characteristics after distinguishing different medicinal parts and harvest seasons. The results showed that the overall correlation characteristics between nature and flavor in PCMM were significantly associated in the following pairs: cold and bitter, cool and bitter, cool and astringent, cool and light, neutral and sweet, neutral and astringent, neutral and light, neutral and sour, hot and pungent, and warm and pungent. When analyzing the data by distinguishing medicinal parts and/or harvest seasons, new correlation patterns emerged, characterized by the disappearance of some significant correlations and the emergence of new ones. When analyzing by medicinal parts alone, significant correlations were found in the following cases: cold and light in leaves, cold and salty in barks, cool and sweet in fruits and seeds, neutral and pungent in whole herbs, neutral and salty in stems, and warm and salty in flowers. However, no significant correlations were found between cool and bitter in stems and other types of herbs, cool and astringent in fruits, seeds, flowers, and other types of herbs, cool and light in leaves, fruits, seeds, barks, flowers and other types of herbs, neutral and sweet in barks, neutral and astringent in whole herbs and stems, neutral and light in leaves, fruits, seeds, and flowers, neutral and sour in whole herbs, stems, barks, flowers, and other types of herbs, and hot and pungent in whole herbs, stems, flowers, and other types of herbs. When analyzing by harvest season alone, significant correlations were found in the following cases: cold and salty, and cool and sour in herbs harvested in winter, and neutral and salty in herbs harvested year-round. However, no significant correlation was found between cool and light in herbs harvested in winter. When considering both medicinal parts and harvest seasons, compared to the independent influence of medicinal parts, 14 new significant correlations emerged(e.g., the correlation between cool and bitter in stems harvested in spring), while 53 previously significant correlations disappeared(e.g., the correlation between cool and bitter in barks harvested in summer). Compared to the independent influence of harvest seasons, 11 new significant correlations appeared(e.g., the correlation between cold and light in barks harvested in autumn), while 50 previously significant correlations disappeared(e.g., the correlation between hot and pungent in leaves harvested in winter). This study is the first to reveal the influence of medicinal parts and harvest seasons on the correlation between nature and flavor in PCMM, which highlights that these two factors can interact and jointly affect nature-flavor correlations. Further research is needed to explore the underlying mechanisms. This study provides a deeper understanding of the inherent scientific connotations of herbal properties and offers a theoretical foundation for the cultivation and harvesting of PCMM.
Seasons ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/chemistry* ; Taste