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.

Background As common public facilities essential to daily life, hair and beauty salons frequently contain various airborne toxic and hazardous pollutants potentially leading to adverse health effects for salon practitioners. Objective To characterize the indoor air pollution profiles of common contaminants in hair and beauty salons in Shanghai and to evaluate the associated health risks for practitioners, in order to provide a scientific basis for strengthening the public health management in Shanghai and protecting the health of practitioners. Methods The air quality monitoring data of hair and beauty salons in Shanghai from 2016 to 2024 were obtained from the “Health Hazard Factors Monitoring Program for Public Places” of the National Institute of Environmental Health, Chinese Center for Disease Control and Prevention. Monitoring indicators included particulate matter ≤10 μm in aerodynamic diameter (PM₁₀), particulate matter ≤2.5 μm in aerodynamic diameter (PM_2.5), formaldehyde, ammonia, benzene, toluene, and xylene. Indicator compliance rates were calculated across various years in accordance with GB 9666-1996 Hygienic standard for barber shop and beauty shop and GB 37488-2019 Hygiene indicators and limit for public places; specifically, PM_2.5 was assessed against the limits stipulated in GB/T 18883-2022 Standards for indoor air quality. A questionnaire survey was conducted among salon practitioners to collect weekly working days and daily working hours. The non-carcinogenic risks associated with inhalation exposure to formaldehyde, ammonia, benzene, toluene, and xylene as well as the carcinogenic risks posed by formaldehyde and benzene were evaluated following WS/T 777-2021 Technical guide for environmental health risk assessment of chemical exposure and the U.S. Environmental Protection Agency inhalation risk model. Results The overall compliance rates of PM₁₀, formaldehyde, ammonia, benzene, and toluene in the air of hair and beauty salons in Shanghai from 2016 to 2024 were 92.13%, 96.59%, 96.15%, 94.93%, and 94.97%, respectively; the overall compliance rate of xylene was a little lower (85.92%), and the overall compliance rate of PM_2.5 was 57.18%. The P₅₀ concentrations of PM₁₀, PM_2.5, formaldehyde, ammonia, benzene, toluene, and xylene did not exceed the corresponding limits. The P₅₀ of non-carcinogenic risk indicator (hazard quotient, HQ) for formaldehyde, ammonia, benzene, toluene, and xylene were <1. The probabilities of non-carcinogenic risk HQ >1 for formaldehyde and xylene were 41.4% and 10.9%, respectively, which were higher than that of other pollutants. The P₅₀ of carcinogenic risk (CR) for formaldehyde and benzene were between 1.0×10⁻⁶ and 1.0×10⁻⁴, while the probabilities of CR >1.0×10⁻⁴ were 16.9% and 14.0%, respectively. Conclusion The overall compliance rate of common pollutant concentrations in the air of hair and beauty salons in Shanghai is high, and the hygienic condition meets the requirements of national standards. The non-carcinogenic health risks posed by formaldehyde and xylene to employees (with formaldehyde being more prominent), as well as the carcinogenic risks associated with formaldehyde and benzene, deserve heightened attention in future health supervision.

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.

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 investigate the changes of T lymphocyte subsets in patients with stage Ⅰ and Ⅱ cervical cancer after surgery and their relationship with postoperative lymph node metastasis according to the International Federation of Gynecology and Obstetrics (FIGO) stage (2014) .Methods:A total of 192 patients with FIGO stage ⅠA, ⅠB1, ⅠB2 and ⅡA1 who received radical cervical cancer resection and pelvic lymph node dissection in People's Hospital of Yuechi County of Sichuan Province and West China Guang'an Hospital of Sichuan University from November 2018 to November 2020 were selected for this study. According to FIGO stage, patients were divided into stage Ⅰ group ( n=85) and stage Ⅱ group ( n=107) . The dynamic changes of T lymphocytes subsets in patients with different FIGO stages were compared before and after surgery. Repeated measurement of variance was used to analyze the levels of T lymphocytes subsets in patients of different stages during treatment. Logistic regression was used to analyze the influencing factors of postoperative lymph node metastasis in patients with cervical cancer. Multivariate logistic regression was used to analyze the relationship between T lymphocytes subsets and postoperative lymph node metastasis. Receiver operator characteristic (ROC) curve was used to analyze the predictive efficacy of T lymphocytes level in postoperative lymph node metastasis. Results:The postoperative lymph node metastasis rate in stage Ⅱ patients [32.71% (35/107) ] was higher than that in stage Ⅰ patients [14.12% (12/85) ], with a statistically significant difference ( χ2=8.86, P=0.003) . Compared with the stage Ⅱ group, the levels of CD3 +, CD4 + T lymphocytes and CD4 +/CD8 + ratio were significantly higher in the stage Ⅰ group 1 day before surgery (all P<0.001) , and the level of CD8 + T lymphocytes was significantly lower ( P<0.001) . The levels of CD3 +, CD4 +, CD8 + T lymphocytes and the ratio of CD4 +/CD8 + showed dynamic changes at different stages after surgery. On 1, 7 and 30 days after surgery, the levels of CD3 +, CD4 + T lymphocytes and the ratio of CD4 +/CD8 + in stage Ⅰ group were higher than those in stage Ⅱ group (all P<0.001) , CD8 + T cell levels were lower than those in stage Ⅱ group (all P<0.001) . There were statistically significant differences in T lymphocytes subsets CD3 +, CD4 +, CD8 + and CD4 +/CD8 + time effect, intergroup effect and interaction effect between the two groups (all P<0.001) . Univariate analysis showed that the pathological type ( OR=1.85, 95% CI: 1.14-2.33, P=0.015) , differentiation degree ( OR=1.93, 95% CI: 1.18-2.67, P=0.024) , depth of myometrial invasion ( OR=2.08, 95% CI: 1.26-2.59, P=0.012) , tumor morphology ( OR=2.17, 95% CI: 1.57-2.63, P=0.009) , parametrial invasion ( OR=1.95, 95% CI: 1.43-2.76, P=0.036) and lymphovascular space invasion ( OR=2.03, 95% CI: 1.28-2.57, P=0.021) were the influencing factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate analysis showed that the degree of differentiation ( OR=1.75, 95% CI: 1.08-2.03, P=0.015) , depth of myometrial invasion ( OR=2.30, 95% CI: 1.43-2.84, P=0.021) , parametrial invasion ( OR=2.50, 95% CI: 1.76-2.97, P=0.018) and lymphovascular space invasion ( OR=1.96, 95% CI: 1.03-2.51, P=0.033) were independent factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate logistic regression analysis showed that the levels of CD3 +, CD4 +, CD8 + T cells and the ratio of CD4 +/CD8 + in patients with stage Ⅰ and stage Ⅱ cervical cancer 1 day before surgery were independent influencing factors for postoperative lymph node metastasis (all P<0.05) . ROC curve analysis showed that the areas under the curve of CD3 +, CD4 +, CD8 + T lymphocytes levels and the ratio of CD4 +/CD8 + in stage Ⅰ patients 1 day before surgery for predicting postoperative lymph node metastasis were 0.86, 0.82, 0.83, 0.89, respectively, and those in stage Ⅱ patients were 0.90, 0.93, 0.87, 0.95, respectively. CD4 +/CD8 + ratio was significantly more effective in predicting postoperative lymph node metastasis than other indexes (all P<0.001) . Conclusions:The levels of CD3 +, CD4 + T lymphocytes, and the CD4 +/CD8 + ratio in patients with FIGO stage Ⅰ and Ⅱ cervical cancer are significantly higher in 1-30 days after surgery than before, while the level of CD8 + T lymphocytes is significantly lower than before. There is a significant correlation between T lymphocytes subsets and lymph node metastasis after surgery. In addition, low differentiation, depth of myometrial invasion ≥1/2, parametrial invasion, and lymphovascular space invasion are independent risk factors for postoperative lymph node metastasis.

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

Objective:To discuss the effect of prostaglandin E2(PGE2),a pyrogenic mediator,on the discharge activity of warm-sensitive neurons(WSNs)in median preoptic nucleus(MnPO)of hypothalamus in the female mice,and to clarify its mechanism.Methods:Coronal brain slices of MnPO were prepared from the female mice.The slices were then perfused with artificial cerebrospinal fluid(ACSF)containing synaptic transmission blockers(STBs).The discharge frequency was monitored using the patch clamp technique while changing the temperature of the perfusate to identify the WSNs.A total of 32 MnPO WSNs were divided into base line group(n=32)and PEG2(n=32).The patch clamp technique was employed to monitor the discharge frequencies of MnPO WSNs following the perfusion of ACSF and 1 μmol·L-1 PGE2,respectively.The MnPO WSNs with good activity and significant change in discharge frequency after PGE2 perfusion were divided into PGE2 receptor E-series prostaglandin receptrol(EP)1 antagonist(EP1 ant)+PGE2 group(n=7),EP3 ant+PGE2 group(n=7),and EP4 ant+PGE2 group(n=7).The patch clamp technique was used to monitor the discharge frequencies of MnPO WSNs following the perfusion of 3 μmol·L-1 EP1 ant and 1 μmol·L-1 PGE2 mixture,10 μmol·L-1 EP3 ant and 1 μmol·L-1 PGE2mixture,and 10 μmol·L-1 EP4 ant and 1 μmol·L-1 PGE2 mixture,respectively.Resluts:After perfuson of the ACSF containing STBs,a total of 188 MnPO neurons from the female mice with an intrinsic temperature sensitivity coefficient(m value)were identified;out of these,32 neurons had an m value of ≥0.8 and were identified as MnPO WSNs,accounting for approximately 17％of all recorded neurons.Compared with baseline discharge frequency,the discharge frequency of MnPO WSNs after addition of PGE2 was decreased(P＜0.05).Compared with PGE2 group,the percentage change in discharge frequency of MnPO WSNs in EP3 ant+PGE2 group was significantly decreased(P＜0.05).Compared with PGE2 group,the percentage change in discharge frequency of MnPO WSNs in EP1 ant+PGE2 group had no significant difference(P＞0.05).Compared with PGE2 group,the percentage change in discharge frequency of MnPO WSNs in EP4 ant+PGE2 group had no significant difference(P＞0.05).Conclusion:In the female mice,WSNs make up approximately 17％of the total neurons in MnPO.PGE2 can directly inhibit the discharge activity of MnPO WSNs in the female mice through postsynaptic mechanism involving EP3 receptors.