OBJECTIVE To establish a whole-process quality management index system for traditional Chinese medicine （TCM） reserved in the department of medical institutions， providing a reference for standardized management. METHODS An initial indicator framework was determined by collecting and analyzing relevant laws， regulations， policy documents， group standards， and literature on TCM management. Two rounds of Delphi expert consultation involving 20 experts were conducted to refine and optimize the indicator system. The analytic hierarchy process was used to construct judgment matrices and convert the indicator weights into a percentage-based system； an assessment was conducted on 14 departments with reserved TCM among the affiliated units of the Quality Management and Control Center for Traditional Chinese Medicine in Hebei Province. RESULTS The response rate for both rounds of consultation was 100%， with an expert authority coefficient of 0.89. The final quality management system of TCM reserved in the department included four first-level indicators： management （composite weight： 0.366 3）， processing （composite weight： 0.119 7）， storage （composite weight： 0.291 7） and usage （composite weight： 0.222 3）， and twenty-four second-level indicators， such as establishing an organizational structure for hospital drug quality management and having dedicated regulations for backup drugs in clinical departments. Kendall’s coefficient of concordance confirmed consistency across all levels of indicators. Based on the application of the indicator system for evaluation， the average score for the standardized management of reserved TCM in the department of medical institutions increased from 67.01 points to 85.15 points over three months. CONCLUSIONS The constructed indicator system meets the standardized management requirements for reserved TCM， enabling closed-loop management across the entire process of management， processing， storage and usage. It provides a reference for medical institutions to enhance the precision and standardization of reserved TCM management.

Objective: To analyze the demographic characteristics of patients with red blood cell transfusion reactions, the usage of red blood cell preparations, and the differences in the composition ratio of adverse reactions based on multi-center data from the Haemovigilance Network, in order to reveal the clinical characteristics of red blood cell transfusion and its underlying issues. Methods: Clinical data of patients who experienced transfusion reactions after red blood cell transfusion in the Haemovigilance Network from 2018 to 2023 were collected. The demographic characteristics of patients who experienced transfusion reactions with different types of red blood cell preparations, the utilization of these preparations, and the differences of the composition ratios of transfusion reactions were analyzed. Count data were expressed as numbers (n) or percentages (%), and comparisons between groups were performed using the Chi-square test. Results: Red blood cell transfusion reactions were more common in females (53.56%), with the majority of patients aged 50-69 years (35.54%). The Han polulation accounted for the vast majority of patients (92.77%), and patients in the hematology and obstetrics/gynecology departments had a relatively high proportion of transfusion reactions (13.26% and 14.26%, respectively). Leukocyte-reduced red blood cells and suspended red blood cells were the most common types of transfusion reactions reported among red blood cell preparations. Allergic reactions and non-hemolytic febrile reactions were the most common transfusion reactions, and there were significant differences in the composition ratios of allergic reactions (χ =869.89, P<0.05) and non-hemolytic febrile reactions (χ =812.75, P<0.05) across various types of red blood cell preparations. Conclusion: There are differences in the demographic characteristics and composition ratio of transfusion reactions among different red blood cell preparations. The management of red blood cell transfusion reactions should be tailored to patient characteristics and conditions, and the selection and use of blood products should be optimized to reduce or avoid the occurrence of transfusion reactions, such as considering the use of washed red blood cells for patients with a history of transfusion allergies or those prone to allergies.

AIM: To compare the agreement between the ARK Biometer Combo and OA 2000 in patients wearing orthokeratology lenses.METHODS: A prospective study. A total of 148 patients(148 eyes)who were wearing orthokeratology lenses and returned for follow-up at the Shanghai Eye Disease Prevention and Treatment Center from August to September 2024 were included. Biometric measurements were performed using both the ARK Biometer Combo and OA 2000. Parameters including axial length(AL), corneal central thickness(CCT), anterior chamber depth(ACD), lens thickness(LT), corneal curvature(Kf and Ks), astigmatism(AST), white-to-white corneal diameter(WTW)and pupil diameter(PD)were obtained. Differences in measurement parameters between the two biometers were compared, and agreement was assessed.RESULTS: There were no statistically significant differences in the measurements of Kf, Ks and AST between the two biometers(P>0.05). Statistically significant differences were found in the measurements of AL, CCT, ACD, LT, WTW and PD(t=2.559, P=0.012; t=16.771, P<0.0001; t=4.749, P<0.0001; t=-15.212, P<0.0001; t=-14.915, P<0.0001; t=-2.402, P=0.018). ICC ranged from 0.615 to 0.999. Bland-Altman analysis showed that the maximum absolute values of the 95% limits of agreement(LoA)of AL, CCT, ACD, LT, Kf, Ks, AST, WTW and PD were 0.07 mm, 35.07 μm, 0.07 mm, 0.12 mm, 0.66 D, 1.14 D, 1.00 D, 0.76 mm, and 0.98 mm, respectively.CONCLUSION: In orthokeratology patients, the ARK Biometer Combo and OA 2000 showed good agreement in measuring AL, CCT, ACD, Kf and LT, and can be used interchangeably.

Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F ₁-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans ; Arrhythmias, Cardiac/diagnosis* ; Algorithms ; Electrocardiography/methods* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Classification Algorithms

Drug resistance is one of the key factors affecting the effectiveness of cancer treatment methods, including chemotherapy, radiotherapy, and immunotherapy. Its occurrence is related to factors such as mRNA expression and methylation within cancer cells. If drug resistance in patients can be accurately identified early, doctors can devise more effective treatment plans, which is of great significance for improving patients' survival rates and quality of life. Cancer drug resistance prediction based on artificial intelligence (AI) technology has emerged as a current research hotspot, demonstrating promising application prospects in guiding clinical individualized and precise medication for cancer patients. This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

OBJECTIVE: To investigate the impact of autophagy on cardiac tissue injury following common bile duct ligation (CBDL) in rats. METHODS: Twenty-four SPF grade healthy adult male Sprague-Dawley (SD) rats were randomly divided into four groups, with 6 rats in each group. The sham-operated (Sham) group underwent only dissection of the common bile duct without ligation. The CBDL group underwent CBDL to simulate jaundice-induced myocardial injury. The autophagy inhibitor 3-methyladenine (3-MA)+CBDL group was intraperitoneally injected with 15 mg/kg 3-MA 2 hours before modeling, and then injected once every other day. The CBDL+autophagy enhancer rapamycin (Rapa) group was intraperitoneally injected with Rapa 1 mg/kg 0.5 hour after modeling, and then injected once every other day. The rats in each group were sacrificed 2 weeks after surgery, and blood was taken from the inferior vena cava. Serum total bilirubin (TBil), alanine transaminase (ALT), aspartate transaminase (AST), lactate dehydrogenase (LDH), and MB isoenzyme of creatine kinase (CK-MB) were detected by using a fully automated animal biochemical analyzer. Serum oxidative stress marker superoxide dismutase (SOD) activity and malondialdehyde (MDA) content were detected by colorimetric assay. The heart tissues of rats were taken and pathological changes were observed under a light microscope after hematoxylin-eosin (HE) staining. Transmission electron microscope was used to observe autophagosomes after double staining with uranyl acetate and lead citrate. The expressions of autophagy-related proteins were detected using Western blotting. RESULTS: Compared with the Sham group, the serum SOD activity of rats in the CBDL group was significantly decreased, while the serum MDA, TBil, ALT, AST, LDH, and CK-MB were significantly increased; the expressions of autophagy-related proteins Beclin-1 and microtubule-associated protein 1 light chain 3-II/I (LC3-II/I) were significantly increased, and p62 protein expression was significantly decreased. Autophagosomes were seen under electron microscopy in the CBDL group, and cardiac histopathological morphology showed focal necrosis in the myocardium as well as infiltration of inflammatory cells, dilatation of small interstitial blood vessels, and myocardial fiber degeneration. Compared with the CBDL group, cardiac tissue injury in rats was attenuated by pretreatment with the autophagy inhibitor 3-MA, with a decrease in inflammatory cell infiltration in myocardial tissue, a reduction in interstitial vasodilatation, and a decrease in the area of myocardial fibrosis; a decrease in the number of autophagosomes by electron microscopy; and a further rise in the viability of serum TBil, ALT, and AST [TBil (μmol/L): 184.40±6.74 vs. 120.70±16.93, ALT (U/L): 501.10±62.18 vs. 178.80±22.30, AST (U/L): 806.50±76.92 vs. 275.50±55.81, all P < 0.01], as well as a decrease in the levels of serum SOD, MDA, LDH, and CK-MB [SOD (kU/L): 85.00±5.29 vs. 107.50±7.86, MDA (μmol/L): 10.72±0.93 vs. 15.06±1.88, LDH (U/L): 387.40±119.50 vs. 831.30±84.35, CK-MB (U/L): 320.10±14.04 vs. 814.70±75.66, all P < 0.05]. The expressions of the autophagy-related proteins Beclin-1 and LC3-II/I in cardiac tissues were significantly decreased [Beclin-1 protein (Beclin-1/GAPDH): 0.67±0.04 vs. 0.89±0.01, LC3-II/I ratio: 0.93±0.03 vs. 1.09±0.01, both P < 0.01], and p62 protein expression was significantly increased (p62/GAPDH: 0.99±0.01 vs. 0.60±0.01, P < 0.01). In contrast, compared with the CBDL group, after administration of the autophagy enhancer Rapa, the rats showed increased cardiac tissue injury, increased inflammatory cell infiltration in myocardial tissues, increased interstitial vasodilatation, and increased area of myocardial fibrosis; an increase in autophagosomes was seen by electron microscopy; the change tendency of serum biochemical indicators and proteins in myocardial tissues were opposite with autophagy inhibition group with a decrease in serum TBil, ALT, and AST [TBil (μmol/L): 22.00±3.21 vs. 120.70±16.93, ALT (U/L): 72.13±5.97 vs. 178.80±22.30, AST (U/L): 135.20±12.95 vs. 275.50±55.81, all P < 0.05], as well as a increase in the levels of serum SOD, MDA, LDH, and CK-MB [SOD (kU/L): 208.00±2.65 vs. 107.50±7.86, MDA (μmol/L): 20.38±0.40 vs. 15.06±1.88, LDH (U/L): 1 268.00±210.90 vs. 831.30±84.35, CK-MB (U/L): 1 150.00±158.70 vs. 814.70±75.66, all P < 0.05]. The protein expressions of Beclin-1 and LC3-II/I in cardiac tissues were significantly increased [Beclin-1 protein (Beclin-1/GAPDH): 0.96±0.01 vs. 0.89±0.01, LC3-II/I ratio: 1.19±0.01 vs. 1.09±0.01, both P < 0.05], and p62 protein expression was significantly decreased (p62/GAPDH: 0.19±0.02 vs. 0.60±0.01, P < 0.01). CONCLUSIONS Activation of autophagy in CBDL rats led to myocardial tissue injury and reduced cardiac function. Inhibition of autophagy improved cardiac tissue injury in CBDL rats, while increasing autophagy exacerbated myocardial tissue injury.
Animals ; Autophagy ; Rats, Sprague-Dawley ; Male ; Ligation ; Rats ; Common Bile Duct/surgery* ; Myocardium/pathology* ; Adenine/pharmacology*

Triple-negative breast cancer (TNBC) represents an aggressive breast cancer subtype with poor prognosis and limited targeted treatment options. This investigation examined the anti-cancer potential of Caerulomycin A (Cae A), a natural compound derived from marine actinomycetes, against TNBC. Cae A demonstrated selective inhibition of viability and proliferation in TNBC cell lines, including 4T1, MDA-MB-231, and MDA-MB-468, through apoptosis induction. Mechanistic analyses revealed that the compound induced sustained endoplasmic reticulum (ER) stress and subsequent upregulation of C/EBP homologous protein (CHOP) expression, resulting in mitochondrial damage-mediated apoptosis. Inhibition of ER stress or CHOP expression knockdown reversed mitochondrial damage and apoptosis, highlighting the essential role of ER stress and CHOP in Cae A's anti-tumor mechanism. Both oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) decreased in TNBC cells following Cae A treatment, indicating reduced mitochondrial respiratory and glycolytic capacities. This diminished energy metabolism potentially triggers ER stress and subsequent apoptosis. Furthermore, Cae A exhibited significant anti-tumor effects in the 4T1 tumor model in vivo without apparent toxicity. The compound also effectively inhibited human TNBC organoid growth. These results indicate that Cae A may serve as a potential therapeutic agent for TNBC, with its efficacy likely mediated through the disruption of glucose metabolism and the induction of ER stress-associated apoptosis.
Humans ; Endoplasmic Reticulum Stress/drug effects* ; Triple Negative Breast Neoplasms/genetics* ; Apoptosis/drug effects* ; Cell Line, Tumor ; Female ; Animals ; Glucose/metabolism* ; Mice ; Cell Proliferation/drug effects* ; Transcription Factor CHOP/genetics* ; Antineoplastic Agents/pharmacology* ; Mitochondria/metabolism* ; Mice, Inbred BALB C

Objective To compare the effectiveness and safety of semaglutide with dulaglutide in patients diagnosed with type 2 diabetes.Methods A multicenter retrospective cohort study was conducted to include patients with type 2 diabetes who received semaglutide or dulaglutide treatment at three hospitals between April 2021 and July 2023 in the study.The patients were divided into the semaglutide group(SEMA group)and the dulaglutide group(DULA group)based on their treatment.Propensity score matching was used to pair the two groups in a 1:1 ratio,aligning them based on baseline characteristics such as gender,age,body mass index,blood glucose levels,duration of diabetes,and complications.Various parameters including fasting blood glucose,2-hour postprandial blood glucose,glycosylated hemoglobin(HbA1c),serum creatinine,urea nitrogen levels,estimated glomerular filtration rate(eGFR),urinary albumin/creatinine ratio(UACR),and occurrences of adverse reactions were assessed at 3,6,9,and 12 months after the treatment.Results After propensity score matching,98 patients were included in both the SEMA and DULA groups,showing no statistically significant differences in baseline characteristics between the groups(P＞0.05).At each follow-up point,the fasting blood glucose,2-hour postprandial blood glucose,and HbA1c levels of both groups showed a significant decrease compared to the baseline(P≤0.05).The inter-group comparison revealed no statistically significant differences in the changes in fasting blood glucose,2-hour postprandial blood glucose,and HbA1c levels between the two groups(P＞0.05).At the 6th month,the SEMA group exhibited a statistically significant higher rate of HbA1c＜7％compared to the DULA group(P＜0.05).In the SEMA group,serum creatinine and urea nitrogen decreased significantly at the 6th month compared to baseline,while eGFR showed an increase at the 3rd and 6th month,and UACR decreased,all with statistical significance(P＜0.05).In the DULA group,there was a statistically significant increase in serum creatinine and decrease at the 3rd and 6th months in eGFR,respectively.Additionally,urea nitrogen levels decreased significantly at the 9th month,all differences were statistically significant(P＜0.05).The inter-group comparison revealed that at the 3rd and 6th month,the SEMA group exhibited a greater reduction in serum creatinine levels compared to the DULA group.Additionally,the SEMA group demonstrated a more pronounced increase in eGFR levels than the DULA group,with statistical significance(P＜0.05).At the 6th month,the SEMA group exhibited a significantly greater decrease in UACR and a significantly lower incidence of renal insufficiency compared to the DULA group(P＜0.05).There were no significant difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion Semaglutide and dulaglutide can significantly improve blood glucose control,exhibit comparable effectiveness and safety in lowering blood glucose levels,and semaglutide has a potentially protective effect on renal function.

Objective To investigate the current status of infection management quality control centers in county-level hospitals in Guangdong Province,providing reference for the development of quality control management programs for county-level infection control centers by provincial infection control centers,and exploring corresponding management strategies.Methods A survey was conducted using the QuestionStar questionnaire platform to investigate county-level quality control centers established in Guangdong Province before December 31,2023.The survey covered the establishment time,personnel structure,level of in-formatization,management,quality control,and training of hospital infection management professional quality control centers.Results There are 68 county-level infection control centers in Guangdong Province,with a coverage rate of 50.37%,and 95.59%of them have been established within the past five years.Experts mainly come from clinical and nursing backgrounds(accounting for23.75%and62.97%respectively),and the majority have a bachelor's degree(71.06%).Only 13%have operational funding.Among them,39 have established hospital infection informatization monitoring,23 have not been equipped,and 6 are under construction.Twenty centers have conducted quality control supervision and issued quality control reports,ac-counting for 29.41%,while 41 have organized training,accounting for 60.29%.Conclusion The coverage rate of county-level infection management quality control centers in Guangdong Province is steadily increasing,but not all counties and districts are covered.There is a lack of policy and funding support,insufficient personnel allocation,and inadequate professional coverage.The health administrative departments and county-level infection control centers need to unify monitoring standards,quality con-trol specifications,and evaluation programs,improve infection control capabilities,and enhance the"four-level"management and training system to effectively promote the quality and safety management level of primary healthcare institutions.