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.

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.

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.

Aim To investigate the role of metabolites of eicosapentaenoic acid (EPA) in promoting the transdifferentiation of pancreatic α cells to β cells. Methods Male C57BL/6J mice were injected intraperitoneally with 60 mg/kg streptozocin (STZ) for five consecutive days to establish a type 1 diabetes (T1DM) mouse model. After two weeks, they were randomly divided into model groups and 97% EPA diet intervention group, 75% fish oil (50% EPA +25% DHA) diet intervention group, and random blood glucose was detected every week; after the model expired, the regeneration of pancreatic β cells in mouse pancreas was observed by immunofluorescence staining. The islets of mice (obtained by crossing GCG

Biosensor analysis technology is a kind of technology with high specificity that can convert biological reactions into optical and electrical signals. In the development of drugs for Alzheimer's disease (AD), according to different disease hypotheses and targets, this technology plays an important role in confirming targets and screening active compounds. This paper briefly describes the pathogenesis of AD and the current situation of therapeutic drugs, introduces three biosensor analysis techniques commonly used in the discovery of AD drugs, such as surface plasmon resonance (SPR), biolayer interferometry (BLI) and fluorescence analysis technology, explains its basic principle and application progress, and summarizes their advantages and limitations respectively.

Objective:Study on the correlation between the active components of Salviea Miltiorrhizae Radix et Rhizoma screened by high-throughput sequencing and the regulation of lncRNA-mRNA in human lung adenocarcinoma A549 cells.Methods:A549 cells were cultured, and the IC 50 dose of cryptotanshinone and tanshinone ⅡA was confirmed according to the cell proliferation experiment. A549 cells were randomly divided into blank control group, cryptotanshinone group, and tanshinone IIA group using a random number table method. After 24 hours of intervention, the cell cycle was detected by flow cytometry. High-throughput sequencing technique was used to detect the expressions of lncRNA and mRNA in A549 cells in intervention group and non-intervention group. By analyzing the expression profiles of differential genes related to cryptotanshinone and tanshinone ⅡA, the obtained differential genes were analyzed by GO and KEGG. Results:The cell cycle results showed that the proportion of G0/G1 phase cells in cryptotanshinone and Tanshinone ⅡA was increased ( P<0.01), the proportion of S phase cells was decreased ( P<0.01), and the proportion of G2/M phase cells in cryptotanshinone was decreased ( P<0.01). The results of high-throughput screening showed that cryptotanshinone could up-regulate 4 698 lncRNA, down-regulate 1 557 lncRNA, up-regulate 4 810 mRNA and down-regulate 5 644 mRNA. Tanshinone ⅡA could up-regulate 1 348 lncRNA, down-regulate 1 299 lncRNA, up-regulate 4646 mRNA and down-regulate 4 741 mRNA. The function and pathway enrichment analysis of differential lncRNA and mRNA showed that the differentially expressed genes of cryptotanshinone and tanshinone ⅡA were mainly related to cell cycle, autophagy, AMPK signaling pathway, FoxO signaling pathway and EGFR signaling pathway. GAS5 may be one of the targets for the inhibitory effects of cryptotanshinone and tanshinone ⅡA. Conclusion:Cryptotanshinone and tanshinone ⅡA have certain inhibitory effects on A549 cells, and there are differentially expressed genes of lncRNA-mRNA, which are closely related to cell cycle and signal pathway.

BACKGROUND:Total knee arthroplasty is the main therapeutic regimen for end-stage osteoarthritis.However,diabetes mellitus can affect the treatment effect and prognosis. OBJECTIVE:To explore the effect of diabetes mellitus on perioperative blood loss and postoperative pain in patients undergoing primary total knee arthroplasty. METHODS:A retrospective study was conducted on 154 patients who underwent primary total knee arthroplasty and met the inclusion criteria in the Osteonecrosis and Joint Reconstruction Ward of Xi'an Honghui Hospital Affiliated to Xi'an Jiaotong University from January to April 2021.Patients were divided into a non-diabetic group and a diabetic group according to their diagnosis,with 32 cases in the diabetic group,9 males and 23 females,aged 55 to 80(66.58±7.16)years and 122 cases in the non-diabetic group,34 males and 88 females,aged 44 to 83(66.69±6.63)years.Perioperative blood loss(including total blood loss,hidden blood loss,the falling value of hemoglobin and hematocrit)was calculated for both groups.Visual analog scale scores,hospital for special surgery knee score,and Caprini scores were recorded preoperatively and postoperatively. RESULTS AND CONCLUSION:(1)Total blood loss was significantly lower in the non-diabetic group(729.93±233.83 mL)than that in the diabetic group(853.69±184.91 mL)(P<0.05).Latent hidden blood loss was also significantly lower in the non-diabetic group(624.40±233.19 mL)than that in the diabetic group(749.08±179.49 mL)(P<0.05).(2)In the non-diabetic group,the visual analog scale scores preoperatively and 1 month postoperatively were significantly lower than those in the diabetic group(P<0.05).The differences in visual analog scale scores at 3 days and 3 months postoperatively between the non-diabetic group and the diabetic group were not statistically significant(P>0.05).(3)The hospital for special surgery knee score at 1 month postoperatively was significantly higher in the non-diabetic group than that in the diabetic group(P<0.05).There was no significant difference in hospital for special surgery knee score between the two groups at 3 months postoperatively(P>0.05).(4)There was no statistically significant difference in preoperative and postoperative Caprini scores between the two groups(P>0.05).(5)It is concluded that having diabetes increases total and occult hidden blood loss in primary total knee arthroplasty.In the short term after total knee arthroplasty,diabetes increases the patient's pain and affects the recovery of joint function,but the negative effects fade with time.

Diabetic kidney disease(DKD)is one of the most important complications of diabetes.In recent years,domestic and foreign studies have found that mammalian target protein of rapamycin(mTOR)related signaling pathway is a classic pathway involved in the regulation of autophagy,which can achieve the therapeutic effect of DKD by targeting the autophagy pathway,and plays a crucial role in the prevention and treatment of DKD.In this paper,we reviewed the mechanism of mTOR-related signaling pathway targeted autophagy in the prevention and treatment of DKD,in order to provide a new reference and basis for clinical prevention and treatment of DKD.