Objective: To provide evidence for improving emergency blood supply protocols by analyzing the clinical characteristics and disease distribution of emergency transfusion patients, especially those receiving≥10 units of red blood cells (RBCs). Methods: The data of 4 157 patients who urgently applied for large-volume blood transfusion in various hospitals in Shanghai from May 2024 to April 2025 were selected and analyzed statistically. Results: Tertiary gradeA hospitals accounted for the largest proportion of total transfusion volume (U) (48.79%, 8 420/17 256.5), with no statistically significant differences in RBC transfusion volumes among hospitals of different grades (P>0.05). All blood products are most widely used in tertiary hospitals. Obstetric blood transfusion (U)(19.07%, 3 277.5/17 190.5) was the most frequent. A-mong the hospitals of patients who received emergency blood transfusion with red blood cell suspension≥10 U, tertiary gradeA hospitals also had the largest transfusion volume (U)(47.19%, 1 107/2 346). In terms of disease types, the top three diseases in terms of blood transfusion volume (U) were obstetric transfusion (24.59%, 572/2 326), digestive diseases (14.53%, 338/2 326) and tumors (14.19%, 330/2 326). Conclusion: Tertiary grade A hospitals are the main demand units for emergency blood transfusion, with pregnant women and cancer patients being the core blood-using groups. It is suggested that the safety, timeliness and sufficiency of emergency blood transfusion be guaranteed by establishing a hierarchical blood supply mechanism, formulating single-disease blood transfusion plans and promoting precise blood transfusion guided by thromboelastography.

The incomplete degradation of tumour cells by macrophages (Mϕ) is a contributing factor to tumour progression and metastasis, and the degradation function of Mϕ is mediated through phagosomes and lysosomes. In our preliminary experiments, we found that overactivation of NADPH oxidase 2 (NOX2) reduced the ability of Mϕ to degrade engulfed tumour cells. Above this, we screened out liquiritin from Glycyrrhiza uralensis Fisch, which can significantly inhibit NOX2 activity and inhibit tumours, to elucidate that suppressing NOX2 can enhance the ability of Mϕ to degrade tumour cells. We found that the tumour environment could activate the NOX2 activity in Mϕ phagosomes, causing Mϕ to produce excessive reactive oxygen species (ROS), thus prohibiting the formation of phagolysosomes before degradation. Conversely, inhibiting NOX2 in Mϕ by liquiritin can reduce ROS and promote phagosome-lysosome fusion, therefore improving the enzymatic degradation of tumour cells after phagocytosis, and subsequently promote T cell activity by presenting antigens. We further confirmed that liquiritin down-regulated the expression of the NOX2 specific membrane component protein gp91 phox, blocking its binding to the NOX2 cytoplasmic component proteins p67 phox and p47 phox, thereby inhibiting the activity of NOX2. This study elucidates the specific mechanism by which Mϕ cannot degrade tumour cells after phagocytosis, and indicates that liquiritin can promote the ability of Mϕ to degrade tumour cells by suppressing NOX2.

Objective:Laryngopharyngeal reflux disease refers to a series of symptoms and signs caused by gastroduodenal contents regurgitate into the upper respiratory, digestive tract above the upper esophageal sphincter. In recent years, with the deepening of the pathogenesis, the treatment plan of this disease is constantly updated and optimized, but there is still no gold standard for treatment. This paper summarizes the treatment of pharyngeal reflux disease and proposes that based on proton pump inhibitors, potassium competitive acid blockers and alginate can be used as alternative therapy for proton pump inhibitors. Meanwhile, the external upper esophageal sphincter pressure device has sufficient potential value to be concerned. Lifestyle change and dietary structure adjustment should be used as the basic treatment throughout. To provide directions for further treatment of the disease.
Humans ; Laryngopharyngeal Reflux/therapy* ; Proton Pump Inhibitors/therapeutic use*

Tumors exhibit abnormal glucose metabolism, consuming excessive glucose and excreting lactate, which constructs a tumor microenvironment that facilitates cancer progression and disrupts immunotherapeutic efficacy. Currently, tumor glucose metabolic dysregulation to reshape the immunosuppressive microenvironment and enhance immunotherapy efficacy is emerging as an innovative therapeutic strategy. However, glucose metabolism modulators lack specificity and still face significant challenges in overcoming tumor delivery barriers, microenvironmental complexity, and metabolic heterogeneity, resulting in poor clinical benefit. Nanomedicines, with their ability to selectively target tumors or immune cells, respond to the tumor microenvironment, co-deliver multiple drugs, and facilitate combinatorial therapies, hold significant promise for enhancing immunotherapy through tumor glucose metabolic reprogramming. This review explores the complex interactions between tumor glucose metabolism-specifically metabolite transport, glycolysis processes, and lactate-and the immune microenvironment. We summarize how nanomedicine-mediated reprogramming of tumor glucose metabolism can enhance immunotherapy efficacy and outline the prospects and challenges in this field.

Objective To construct a database for molecular mass spectra of toxins and drugs in order to facilitate the management and retrieval of mass spectra for nerve agents,metabolites and other small molecules.Methods Requirement analysis and functional design were performed using software engineering methods.The Spec2Vec algorithm was used for vector representation of mass spectra,while SMILES molecular structures were vectorized using the extended connectivity fingerprint(ECFP).A data storage model integrating structured information and vector representations was established using the Milvus database.Similarity search of mass spectra and molecular structures was conducted via vector similarity comparison and the FlashEntropySearch algorithm.Results The constructed database of mass spectra encompassed over 400,000 entries from such sources as OCAD,NIST,MASSBANK,metabolic products,and natural products of TCM,which was capable of searching for similarities in mass spectra and molecular structures.On a standard server,similarity search of mass spectra took no more than 5 seconds,while that of molecular structures took no more than 1 second.Conclusion The system enables efficient management of complex mass spectra and provides rapid retrieval and comparison of mass spectra-related information through advanced vector indexing technology,offering robust data support and research tools for toxicology and pharmacology.

Pancreatic acinar cell carcinoma (PACC) is a rare exocrine tumor of the pancreas with distinct clinical and pathological features. In recent years, advancements in molecular biology techniques have led to a deeper understanding of the molecular mechanisms underlying PACC. Progress in imaging, endoscopic, and molecular diagnostic technologies has improved the early detection rate of PACC. The primary treatment modalities for PACC include surgical resection, chemotherapy, targeted therapy and immunotherapy; however, the therapeutic efficacy still requires further improvement. This article reviews the current research status of PACC, covering its epidemiology, pathological characteristics, molecular alterations, diagnostic methods, and treatment strategies, and discusses the controversies and future directions in PACC research.

Objective:To develop and evaluate a rapid and sensitive point-of-care chemiluminescent assay(POC-CLIA)for β-human chorionic gonadotropin(β-HCG).Methods:POC-CLIA was constructed based on alkaline phosphatase(Alp)-AMPPD lumi-nescence system and magnetic particles(Mps)carrier.Performance of POC-CLIA,including sensitivity,precision,accuracy,linear dilution,specificity,stability,hook effect and clinical application were evaluated.Results:Detection limit of β-HCG was 0.71 mU/ml,linear detection range was 0.710～1.092×104 mU/ml,and was no hook effect up to 1.7×105 mU/ml.Intra and inter batch coefficients of variation were less than 10％,and could be stored stably at 37℃ for 10 days.Accuracy deviation was within±10％,so results were reliable.There was no cross-reactivity between interfering substances and anti-β-HCG antibdies.For detecting β-HCG in 100 clinical serum samples,results were highly correlated with those that were tested by clinical standard methods(R2=0.997 0).Turnaround time for single sample was less than 15 min and throughput could reach 200 T/h.Conclusion:This method is adequate that can be widely used in grassroots communities to help large-scale screening of pregnancy and related diseases.

ObjectiveBased on spatial metabolomics technology combined with pharmacological indexes， to analyze the mechanism of Fritillariae Cirrhosae Bulbus（FCB） powder in improving bleomycin-induced pulmonary fibrosis in rats. MethodSixty SD rats were randomly divided into five groups， including the blank group， the model group， and high， medium， low dosage groups of FCB. Except for the blank group， rats in all other groups were injected with bleomycin by tracheal injection to establish a pulmonary fibrosis model. Postoperatively， the high， medium and low dosage groups of FCB were administered aqueous solutions of FCB powder at doses of 0.36， 0.18， 0.09 g·kg^-1， respectively， continuously for 28 d. The blank and model groups were given an equal volume of distilled water by gavage. After the last administration， lung tissues and blood samples were collected， the pathological conditions of rat lung tissues were comprehensively evaluated by hematoxylin-eosin（HE） and Masson staining， and aerodynamic assisted desorption electrospray ionization mass spectrometry imaging（AFADESI-MSI） was used for MSI of rat lung tissues from different experimental groups. Spatial metabolomics analysis was conducted on the fibrotic areas of lung tissues in the model group and the high dosage group of FCB based on HE staining images. Differential metabolites between groups were screened by orthogonal partial least squares-discriminant analysis（OPLS-DA）， with variable importance in the projection（VIP） values>1， t-test P<0.05， and fold change analysis. Metabolic pathway analysis of the identified differential metabolites was performed using Kyoto Encyclopedia of Genes and Genomes（KEGG）. Protein expression levels of nuclear transcription factor-κB p65（NF-κB p65） and heme oxygenase-1（HO-1） in rat lung tissues were detected by Western blot. Biochemical assessments of superoxide dismutase（SOD）， malondialdehyde（MDA） and glutathione（GSH） levels in rat lung tissues were conducted. Serum levels of interleukin（IL）-1β， IL-6， nuclear factor erythroid 2 related factor 2（Nrf2）， and tumor necrosis factor-α（TNF-α） were measured by enzyme linked immunosorbent assay（ELISA）， and some of the screened signaling pathways with strong correlation were verified. ResultThe results of MSI experiment showed that after 28 d of the administration of FCB powder to rats with pulmonary fibrosis， the content of L-arginine in the fibrotic regions of lung tissues was significantly different from that of rats in the model group， and the content of phosphatidylcholine was lower than that in the fibrotic region of lung tissues of rats in the model group. Western blot results confirmed that， in comparison to the model group， oral administration of FCB powder for 28 d could inhibit the elevated expression of NF-κB p65 protein in the lung tissues of rats with pulmonary fibrosis. Furthermore， high dose of FCB powder was able to significantly inhibit the expression of HO-1 after oral administration （P<0.05）. The cytokine detection results indicated that the concentrations of IL-1β， IL-6 and TNF-α in the serum of rats from the high， medium， low dosage groups of FCB were reduced by comparing with the model group， and the high dose of Chuanbeimu powder administered by gavage could significantly inhibit the trend of decreased SOD， GSH， Nrf2 contents and increased MDA content induced by bleomycin. ConclusionOral administration of FCB powder has the potential to partially ameliorate bleomycin-induced pulmonary fibrosis in rats， and its mechanism may be related to the regulation of pathways associated with inflammation（NF-κB p65） and oxidative stress（Nrf2/HO-1）.

BACKGROUND:MRI is important for the diagnosis of early knee osteoarthritis.MRI image recognition and intelligent segmentation of knee osteoarthritis using deep learning method is a hot topic in image diagnosis of artificial intelligence. OBJECTIVE:Through deep learning of MRI images of knee osteoarthritis,the segmentation of femur,tibia,patella,cartilage,meniscus,ligaments,muscles and effusion of knee can be automatically divided,and then volume of knee fluid and muscle content were measured. METHODS:100 normal knee joints and 100 knee osteoarthritis patients were selected and randomly divided into training dataset(n=160),validation dataset(n=20),and test dataset(n=20)according to the ratio of 8:1:1.The Coarse-to-Fine sequential training method was used to train the 3D-UNET network deep learning model.A Coarse MRI segmentation model of the knee sagittal plane was trained first,and the rough segmentation results were used as a mask,and then the fine segmentation model was trained.The T1WI and T2WI images of the sagittal surface of the knee joint and the marking files of each structure were input,and DeepLab v3 was used to segment bone,cartilage,ligament,meniscus,muscle,and effusion of knee,and 3D reconstruction was finally displayed and automatic measurement results(muscle content and volume of knee fluid)were displayed to complete the deep learning application program.The MRI data of 26 normal subjects and 38 patients with knee osteoarthritis were screened for validation. RESULTS AND CONCLUSION:(1)The 26 normal subjects were selected,including 13 females and 13 males,with a mean age of(34.88±11.75)years old.The mean muscle content of the knee joint was(1 051 322.94±2 007 249.00)mL,the mean median was 631 165.21 mL,and the mean volume of effusion was(291.85±559.59)mL.The mean median was 0 mL.(2)There were 38 patients with knee osteoarthritis,including 30 females and 8 males.The mean age was(68.53±9.87)years old.The mean muscle content was(782 409.18±331 392.56)mL,the mean median was 689 105.66 mL,and the mean volume of effusion was(1 625.23±5 014.03)mL.The mean median was 178.72 mL.(3)There was no significant difference in muscle content between normal people and knee osteoarthritis patients.The volume of effusion in patients with knee osteoarthritis was higher than that in normal subjects,and the difference was significant(P<0.05).(4)It is indicated that the intelligent segmentation of MRI images by deep learning can discard the defects of manual segmentation in the past.The more accuracy evaluation of knee osteoarthritis was necessary,and the image segmentation was processed more precisely in the future to improve the accuracy of the results.