BACKGROUND: Blood glucose and serum albumin have been associated with cardiovascular disease prognosis, but the impact of admission-blood-glucose-to-albumin ratio (AAR) on adverse outcomes in critical ill coronary artery disease (CAD) patients was not investigated. METHODS: Patients diagnosed with CAD were non-consecutively selected from the MIMIC-IV database and categorized into quartiles based on their AAR. The primary outcome was 1-year mortality, and secondary endpoints were in-hospital mortality, acute kidney injury (AKI), and renal replacement therapy (RRT). A restricted cubic splines model and Cox proportional hazard models assessed the association between AAR and adverse outcomes in CAD patients. Kaplan-Meier survival analysis determined differences in endpoints across subgroups. RESULTS: A total of 8360 patients were included. There were 726 patients (8.7%) died in the hospital and 1944 patients (23%) died at 1 year. The incidence of AKI and RRT was 63% and 4.3%, respectively. High AAR was markedly associated with in-hospital mortality (HR = 1.587, P = 0.003), 1-year mortality (HR = 1.502, P < 0.001), AKI incidence (HR = 1.579, P < 0.001), and RRT (HR = 1.640, P < 0.016) in CAD patients in the completely adjusted Cox proportional hazard model. Kaplan-Meier survival analysis noted substantial differences in all endpoints based on AAR quartiles. Stratified analysis and interaction test demonstrated stable correlations between AAR and outcomes. CONCLUSIONS The results highlight that AAR may be a potential indicator for assessing in-hospital mortality, 1-year mortality, and adverse renal prognosis in critical CAD patients.

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.

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*

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.

Objective:To explore the correlation between transcranial sonography (TCS) combined with serum homocysteine (Hcy), blood glucose, blood lipids, the cognitive status of Parkinson′s disease (PD) patients, and to analyze the clinical application value of these parameters in assessing the cognitive status of PD patients.Methods:A total of 152 PD patients admitted to the Second Affiliated Hospital of Soochow University from January 2020 to June 2023 were retrospectively collected as the PD group, and 101 healthy examinees matched for age and gender during the same period were selected as control group. Clinical data [age, gender, duration of illness, Montreal Cognitive Assessment (MoCA) score, Mini-Mental State Examination (MMSE) score, Unified Parkinson′s Disease Rating Scale Part Ⅲ (UPDRS-Ⅲ) score, Hoehn-Yahr (H-Y) stage, etc.], serum tests (Hcy, blood glucose, total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein concentration), and TCS examination results (third ventricular width, midbrain area, peak systolic velocity of bilateral middle cerebral arteries, bilateral middle cerebral artery resistance index, bilateral substantia nigra hyperechoic area) were collected. The two groups were divided into pure PD group and PD group with elevated Hcy, pure control group and control group with elevated Hcy, based on an Hcy concentration threshold of ≥15 μmol/L. The differences in the above parameters among the four groups were compared. The correlation between Hcy and cognitive status (MoCA score, MMSE score) of PD patients and the above parameters were analyzed.Results:The MoCA score and MMSE score of the PD group with elevated Hcy were lower than those of the pure PD group, and the UPDRS-Ⅲ score and H-Y stage were higher than those of the pure PD group (all P<0.001). The order of Hcy concentration from high to low was PD group with elevated Hcy, pure Hcy elevation group, pure PD group, and pure control group. The differences in serum data and TCS data among the four groups were statistically significant (all P<0.001). Spearman correlation analysis showed: ①In the PD group, the concentration of Hcy was positively correlated with glucose concentration, H-Y stage, low-density lipoprotein concentration, right middle cerebral artery resistance index, UPDRS-Ⅲ score, total cholesterol concentration, triglyceride concentration, left middle cerebral artery resistance index, third ventricular width, and age ( rs=0.422, 0.350, 0.348, 0.334, 0.325, 0.300, 0.293, 0.283, 0.221, 0.164, all P<0.05); Hcy concentration was negatively correlated with midbrain area, MMSE score, MoCA score, peak systolic velocity of right middle cerebral artery, peak systolic velocity of left middle cerebral artery, and high-density lipoprotein concentration ( rs=-0.328, -0.282, -0.245, -0.229, -0.224, -0.192, all P<0.05). ②Clinical data, serum data, and TCS data of PD patients were all correlated with MoCA score and MMSE score, with midbrain area showing the largest positive correlation ( rs=0.524, 0.516; both P<0.05) and H-Y stage showing the largest negative correlation( rs=-0.490, -0.468; both P<0.05). Conclusions:PD patients with elevated Hcy have lower cognitive scores than pure PD patients. The correlation between Hcy concentration and blood glucose concentration is the highest in PD patients, followed by H-Y stage. The cognitive scores of PD patients are most correlated with midbrain area and unrelated to substantia nigra hyperechoic area. Lowering serum Hcy concentration in PD patients may be one of the ways to delay cognitive impairment.

Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS) was used to rapidly identify the chemical components in Dracocephalum moldavica, and UPLC was employed to determine the content of its main components. MS analysis was performed using an electrospray ionization(ESI) source and data were collected in the negative ion mode. By comparing the retention time and mass spectra of reference compounds, and using a self-built compound database and the PubChem database, 68 compounds were identified from D. moldavica, including 36 flavonoids, 22 phenylpropanoids, 4 phenols, and 6 other compounds. On this basis, a UPLC quantitative method was established to simultaneously determine 8 main components, i.e., luteolin-7-O-glucuronide, apigenin-7-O-glucuronide, rosmarinic acid, diosmetin-7-O-glucuronide, tilianin, acacetin-7-O-glucuronide, acacetin-7-O-(6″-O-malonyl)-glucoside, and acacetin. A Waters ACQUITY BEH C_(18) column(2.1 mm × 100 mm, 1.7 μm) was used, with acetonitrile and a water solution containing 0.1% formic acid and 0.1% phosphoric acid as the mobile phase for gradient elution. The detection wavelength was set at 330 nm, with a flow rate of 0.4 mL·min~(-1), and the column temperature was maintained at 35 ℃. The 8 components demonstrated good linearity(r≥0.999 9) over a wide mass concentration range(50 or 100 times). The average recovery rate ranged from 97.5% to 105.1%, and the relative standard deviations(RSDs) were 0.90% to 3.4%(n= 6), indicating that the method was simple, accurate, and reliable. In 17 batches of D. moldavica samples, the content of these 8 components ranged from 0.405 to 2.10, 0.063 to 0.342, 0.446 to 2.43, 0.415 to 1.47, 1.57 to 4.34, 0.173 to 0.386, 1.00 to 5.40, and 0.069 to 0.207 mg·g~(-1), respectively. These results indicate significant differences in the internal quality of the samples, highlighting the need for strict quality control to ensure their pharmacodynamic efficacy. This study provides a scientific basis for the rapid discovery of pharmacodynamic substances, comprehensive quality control, and the formulation or revision of quality standards for D. moldavica.
Tandem Mass Spectrometry/methods* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Lamiaceae/chemistry* ; Flavonoids/chemistry*

The incidence of the lower extremity venous disorder is high, which seriously affects the quality of life in patients. Endovascular strategy has become an important treatment for venous disease of the lower extremity. Intraoperative venography usually can not provide detailed information about intravenous or perivascular structures. In contrast, endovascular imaging such as intravascular ultrasound and optical coherence tomography can not only reduce the use of contrast agents, evaluate intravenous and perivascular structures, but also accurately measure the anatomic parameters and provide information for subsequent treatment. This article reviewed the relevant experience and summarized the mechanism, characteristics, and clinical applications of intravascular imaging.

  Objective  To analyze the clinical characteristics of thyroid LCH to enhance understanding of the disease.  Methods  We retrospectively studied the clinical data from six thyroid LCH patients who hospitalized in Huashan Hospital Affiliated to Fudan University from January 2015 to January 2022.We analyzed the ultrasound and ¹⁸F FDG-PET/CT imaging characteristics of thyroid LCH.  Results  The six patients diagnosed (2 males and 4 females) were between 18 and 58 years old.All patients had diabetes insipidus.MRI revealed thickened pituitary stalk.Two cases had central hypothyroidism, while four cases euthyroidism.Three cases tested positive for thyroid antibodies.Ultrasound showed thyroid nodules of TI-RADS 3 in three cases, TI-RADS 4 in two cases, and 1 with nodular goiter.Ultrasound showed that all sic cases indicated low echogenicity, 5 of which clear boundaries, 4 of which uneven echo distribution, 5 of which irregular shape, and noen has calcification.¹⁸F FDG-PET/CT indicated high uptake nodules with SUVmax values all above 10.4 cases were diagnosed by surgical excision and the other 2 by coarse-needle aspiration biopsy.When diagnosed, two cases had liver and thymus involvement respectively.One case had lung and bone involvement respectively.After treatment, 4 cases showed that nodular goiter shrank, while the other two with liver involvement progressed fast and no assessment made.  Conclusions  Thyroid LCH presented low echogenicity, clear boundaries, irregular shape, without calcification, and high uptake in ¹⁸F FDG-PET/CT.A definite diagnosis of pituitary stalk thicking accompanied by thyroid nodules, especially those with hypoechoic and irregular nodules, can be achieved by coarse-needle aspiration biopsy and langerin-specific pathological staining.

Objective:To investigate the predictive values of 18F-FDG PET/CT image feature and metabolic parameters for the malignant potential of gastrointestinal stromal tumor (GIST). Methods:From March 2014 to June 2020, the 18F-FDG PET/CT imaging and surgical pathological data of 35 patients with GIST (27 males, 8 females; age 44-84 years) from Union Hospital, Tongji Medical College, Huazhong University of Science and Technology and Zhongnan Hospital of Wuhan University were analyzed retrospectively. Patients were divided into ring-shaped uptake group and other uptake patterns group according to 18F-FDG PET/CT image feature. Fisher′s exact test was used to analyze the differences of tumor necrosis and National Institutes of Health (NIH) risk classification (short for NIH classification) between different image feature groups. Mann-Whitney U test was used to analyze the differences of SUV max , metabolic parameters at different thresholds (2.5, 40%, 50%) of SUV max (metabolic tumor volume (MTV; MTV 2.5, MTV 40%, MTV 50%) and total lesion glycolysis (TLG; TLG 2.5, TLG 40%, TLG 50%)) between different clinicopathological features (lesion location, tumor diameter, mitotic count, Ki-67, necrosis, image feature, NIH classification) groups. Spearman rank correlation analysis was used to explore the correlation between clinicopathological features and metabolic parameters. ROC curve analysis was used to distinguish NIH classification of different metabolic parameters. Delong test was used to compared differences between different AUCs. Results:Of 35 GIST patients, 11(31.4%) were ring-shaped uptake and 24(68.6%) were other uptake patterns, and the differences of necrosis (7/11 vs 12.5%(3/24); P=0.004) and NIH classification (11/11 vs 25.0%(6/24); P<0.001) between the two groups were significant. There were significant differences of metabolic parameters between different groups of tumor diameter, mitotic count, necrosis, image feature, NIH classification ( z values: from -4.70 to -2.09, all P<0.05), while there were no significant differences of Ki-67 ( z values: from -0.83 to -0.71, all P>0.05). Metabolic parameters were correlated with mitotic count, tumor diameter, necrosis, image feature and NIH classification ( rs values: 0.36-0.81, all P<0.05), while was not correlated with Ki-67 ( rs values: 0.12-0.14, all P>0.05). The differences of AUCs between SUV max and MTV 2.5, TLG 2.5, TLG 40%, TLG 50%were significant (0.752, 0.856, 0.856, 0.882, 0.886; z values: 1.96-2.12, all P<0.05). Conclusions:The NIH classification of GIST with ring-shaped uptake on 18F-FDG PET/CT is higher and more prone to necrosis. The 18F-FDG PET/CT metabolic parameters based on different thresholds of SUV max have certain significance for the prediction of NIH classification of GIST, and may be superior to SUV max.