OBJECTIVES: To explore the therapeutic mechanism of Flos Sophorae (FS) for treatment of psoriasis. METHODS: The active ingredients, targets and psoriasis-related disease targets of FS were obtained from TCMSP, GeneCards, OMIM, DisGeNET and String databases, and Cytoscape 3.8.0 software was used to construct the "FS -active ingredient-key target-signaling pathway-psoriasis" network. GO and KEGG enrichment analyses of the key targets were conducted, and molecular docking was performed using Discovery Studio 2019. In a BALB/c mouse model of imiquimod-induced psoriasis, the effects of vaseline, FS at high, medium and low doses (3.00, 1.50 and 0.75 g/kg, respectively) and a positive drug, given 1 week before and during modeling, were evaluated on body weight changes, spleen coefficient, psoriasis area and severity index (PASI) score and skin pathological changes. Phosphorylation levels of PI3K and AKT proteins were detected using immunohistochemistry and Western blotting. RESULTS: A total of 10 active components and 110 key targets were screened. GO and KEGG pathway enrichment analysis suggested that FS improved psoriasis primarily through the PI3K/AKT, TNF, and IL-17 signaling pathways. Molecular docking showed that both quercetin and kaempferol could spontaneously bind to AKT1, TNF and other sites. In the mouse model of psoriasis, treatment with low-dose FS significantly improved epidermal thickening, increased body weight, lowered PASI score, and reduced phosphorylation levels of PI3K and AKT proteins. CONCLUSIONS The therapeutic mechanism of FS for psoriasis involves multiple components, targets, and pathways that mediate the inhibition of the phosphorylation levels of PI3K and AKT proteins to suppress the activation of the PI3K/AKT signaling pathway.
Animals ; Psoriasis/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Signal Transduction/drug effects* ; Mice, Inbred BALB C ; Phosphatidylinositol 3-Kinases/metabolism* ; Molecular Docking Simulation ; Disease Models, Animal ; Drugs, Chinese Herbal/therapeutic use* ; Imiquimod ; Phosphorylation

AIM: To examine how three distinct central positioning techniques for anterior capsulotomy-pupil center, limbus center, and lens apex-affect intraocular lens(IOL)placement and visual quality following femtosecond laser-assisted cataract surgery(FLACS).METHODS: A total of 36 patients(72 eyes)with age-related cataracts who underwent FLACS and ZCB00 aspherical IOL implantation at Aier Eye Hospital Medical Center, Anhui Medical University between January and December 2023 were included in this prospective study. Patients were divided into three groups based on the central positioning mode for anterior capsulotomy: pupil center, limbus center, and lens apex center groups. IOL alignment and displacement were evaluated using the Casia2 device, and the postoperative visual quality was assessed.RESULTS: At 1 d postoperatively, the IOL tilt for the pupil, limbus, and apex groups were 3.96°±1.51°, 4.63°±1.87°, and 3.90°±2.24°, respectively(F=1.07, P=0.35); IOL decentration values were 0.21±0.10 mm, 0.23±0.16 mm, and 0.21±0.12 mm, respectively(F=0.14, P=0.87); total higher-order aberrations were 0.32±0.40 μm, 0.56±0.61 μm, and 0.53±0.60 μm, respectively(F=1.38, P=0.26); and coma aberrations values were 0.13±0.10 μm, 0.16±0.15 μm, and 0.14±0.15 μm, respectively(F=0.3, P=0.74). All results obtained postoperative day 1 did not differ significantly. At 3 mo postoperatively, IOL tilt values were 5.42°±2.00°, 3.96°±1.44°, and 3.20°±1.19°, respectively(F=12.40, P<0.001); IOL decentration values were 0.33±0.07 mm, 0.23±0.11 mm, and 0.21±0.11 mm, respectively(F=4.99, P=0.008); total higher-order aberrations were 0.67±0.29 μm, 0.44±0.37 μm, and 0.42±0.19 μm, respectively(F=5.50, P=0.006); and coma aberrations values were 0.21±0.12 μm, 0.19±0.12 μm, and 0.12±0.11 μm, respectively(F=3.87, P=0.03). All results obtained 3 mo postoperatively were statistically significant.CONCLUSION: Using the lens apex as the central positioning mode for anterior capsulotomy in FLACS improves postoperative IOL stability and reduces postoperative IOL tilt and decentration. If the lens apex cannot be determined intraoperatively, the limbus center-positioning mode is recommended.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To investigate the clinicopathological and molecular genetic characteristics of pan cytokeratin (CKpan)-positive EWSR1/FUS::CREB fusion malignant tumors in abdominopelvic cavity.Methods:Four cases of malignant tumor with CKpan-positive EWSR1/FUS::CREB fusion were selected from January 2019 to July 2024 in the Department of Pathology, Tianjin Medical University Cancer Hospital, Tianjin, China. Their clinical, pathological, and immunohistochemical characteristics were examined. Their molecular genetic characteristics were analyzed using fluorescence in situ hybridization (FISH) and next-generation sequencing (NGS).Results:Among the 4 patients, there were 2 males and 2 females, aged 44, 44, 48 and 66 years, respectively. The tumor sites included 1 case located between the stomach and transverse colon, 1 case on the serous surface of the gastric wall, 1 case in the transverse mesocolon, and 1 case in transverse mesocolon and small mesentery. The clinical manifestations were mostly abdominal distension and abdominal pain. The maximum diameter of the tumor in the surgical resection specimen was 3.5-8.5 cm. The tumor′s cut surface was grayish-white and gray-yellow in color, with medium consistency. Microscopically, the tumor cells were mainly composed of epithelioid tumor cells, and 2 of the tumors showed that tumor cells arranged in a solid sheet or multinodular pattern, and the cytoplasm of the tumor cells was abundant, lightly stained, and the boundaries were unclear, accompanied by the formation of capsules or microcapsules, and lymphocyte and plasma cell sleeves were seen. In one case, the pseudopapillary arrangement was present, and the tumor cells were radially distributed around the fibrovascular axis. In another case, it was arranged in a pseudoacinar pattern, and the nest was surrounded by slender reticular fibers. Immunohistochemistry showed that tumor cells expressed CKpan (4/4) and WT1 (4/4, including 1 focal positive). Vimentin, CK8/18, D2-40 and S-100 were expressed in various intensities, while Calretinin was locally positive or negative. FISH showed that 2 cases had EWSR1 break-apart and 2 cases had FUS break-apart. NGS confirmed the presence of EWSR1::CREM fusion (1 case) and FUS::CREM fusion (2 cases), respectively. Except for 1 recently diagnosed case, 3 cases were followed up: 1 patient died due to tumor recurrence and metastasis (overall survival was 33 months), and 2 patients survived (1 case had recurrence 58 months after surgery, and 1 case had no recurrence or metastasis after surgery).Conclusions:CKpan-positive EWSR1/FUS::CREB fusion malignant tumor is a rare malignancy tumor with undetermined classification that tends to occur in the abdominopelvic cavity and often involves the gastrointestinal tract. Molecular testing such as FISH and NGS is helpful for a definitive diagnosis.

Objective To investigate the effect of sodium-glucose cotransporter 2 inhibitor (empagliflozin, EMPA) on myocardial remodeling in a mouse uremic cardiomyopathy (UCM) model induced by 5/6 nephrectomy, through the phosphatidylinositol 3 kinase (PI3K)/protein kinase B (PKB/AKT)/p65 signaling pathway. Methods The animals were divided into three groups: Sham group (n=6), UCM group (n=8), and UCM＋EMPA group (n=8). A UCM model was established in C57BL/6N mice using the 5/6 nephrectomy. Starting from 5 weeks post-surgery, EMPA or a placebo was administered. After 16 weeks, blood pressure, serum creatinine, blood urea nitrogen, 24-hour urine glucose and urine sodium were measured. Cardiac structure and function were assessed by echocardiography. Hematoxylin-eosin (HE) staining and Masson trichrome staining were used to observe pathological changes in the heart and kidneys. Wheat germ agglutinin (WGA) staining was used to evaluate myocardial hypertrophy. The real-time quantitative PCR (RT-qPCR) was used to detect the expression levels of myocardial hypertrophy- and fibrosis-related mRNAs. Western blotting was used to detect the expression levels of PI3K, AKT and p65 in myocardial tissues. Results After 16 weeks, UCM group exhibited significantly higher blood pressure, serum creatinine, blood urea nitrogen than sham group (P＜0.01); UCM＋EMPA group exhibited lower blood pressure, serum creatinine, blood urea nitrogen, and higher 24 h urine sodium and glucose than UCM group (P＜0.05). Echocardiographic results showed ventricular remodeling in the UCM group, evidenced by left ventricular wall thickening, left ventricular enlargement, increased left ventricular mass, and decreased systolic function (P＜0.05); ventricular remodeling was alleviated (P＜0.05), though there was no significant improvement in systolic function in UCM＋EMPA group. HE and Masson stainings revealed myocardial degeneration, necrosis, and interstitial fibrosis in UCM group (P＜0.01); the myocardial pathology improved with reduced collagen deposition in UCM＋EMPA group (P＜0.01). WGA staining confirmed myocardial hypertrophy in UCM group (P＜0.01), while myocardial hypertrophy was alleviated in UCM＋EMPA group (P＜0.01). RT-qPCR results showed myocardial hypertrophy- and fibrosis-related genes (NPPA, NPPB, MYH7, COL1A1, COL3A1, TGF-β1) were upregulated in UCM group (P＜0.05), but downregulated in UCM＋EMPA group. Western blotting showed PI3K, p-AKT/AKT ratio, and p-p65/p65 ratio were increased in UCM group, but decreased in UCM＋EMPA group (P＜0.05). Conclusion EMPA can improve myocardial hypertrophy and fibrosis in the UCM mouse model, and it may play the role through inhibiting the PI3K/AKT/p65 signaling pathway.

At present, the cause of traditional Chinese medicine(TCM) in China has entered a new period of high-quality development. How to strengthen the foundation for the TCM industry from the source is an important issue that deserves the attention of the authorities, industry, and academia. This study systematically analyzed the regulatory system of TCM raw materials and preparations. The study took the TCM industry chain and the product life cycle as a clue and focused on the dimensions of TCM resource protection and plant cultivation(farming), production and quality supervision of TCM raw materials and preparations, and their market access and distribution. It analyzed the current situation of the regulation of TCM raw materials and preparations under the regulatory system of drugs, discussed the main problems, and put forward corresponding suggestions. The results can provide an important reference value for the subsequent improvement of the regulatory system of drugs and the construction of a prominent regulatory system of drugs in accordance with TCM characteristics.
Drugs, Chinese Herbal/economics* ; Medicine, Chinese Traditional/standards* ; China ; Quality Control ; Humans ; Plants, Medicinal/chemistry*

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

In recent years,the number of Chest Pain Centers in China has increased rapidly.As of December 2024,there were 5 947 registered units of Chest Pain Centers nationwide,2 994 of which had passed the acceptance.As of April 2025,18.34 million acute chest pain cases have been treated at Chest Pain Centers nationwide,according to the Chest Pain Center reporting platform.The Chest Pain Centers treated more than 3.62 million patients with acute chest pain in 2024,including more than 770 000 patients with acute myocardial infarction,and achieved positive results:significantly increasing the proportion of reperfusion therapy for acute ST-segment elevation myocardial infarction patients,ensuring the treatment of myocardial infarction patients in a short time,shortening the length of patient hospitalization,and reducing the hospitalization costs and mortality of patients.Through the construction of Chest Pain Center,the treatment process was significantly optimized and the prognosis of patients was improved.At present,the construction and quality control of Chest Pain Centers still need to be further promoted.In some areas,the construction proportion of Chest Pain Centers and the level of diagnosis and treatment of chest pain need to be improved,patient delay is still an important challenge for the treatment of acute chest pain in China.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.