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.

Objective: To discuss the epidemiological characteristics of hand foot mouth disease (HFMD) among children in Jiujiang City, and its correlation with meteorological factors, so as to provide scientific evidence for developing targeted HFMD prevention and control measures. Methods: HFMD incidence data among children and meteorological factor records from Jiujiang City during 2019-2023 were collected. Pearson correlation analysis and Quasi-Poisson regression analysis of generalized additive model were used to analyze the relationship between the number of cases and meteorological factors, calculating correlation coefficients (r) and excess risk (ER). Results: The annual reported children HFMD cases in Jiujiang City during 2019-2023 were 4 299, 4 671, 2 560, 3 230, and 3 584, respectively. Except for a peak in autumn-winter in 2020, outbreaks occurred mainly in spring and summer in other years. The majority of cases involved scattered children (71.11%) and children in daycare centers (26.64%). Pearson correlation analysis showed that total case counts, cases among scattered children, and cases among children in daycare centers were positively correlated with average temperature ( r =0.36, 0.39, 0.23), maximum temperature ( r =0.32, 0.36, 0.20), minimum temperature ( r =0.37, 0.41, 0.24), and average relative humidity ( r =0.19, 0.20, 0.15) (all P <0.05). Quasi-Poisson regression analysis of generalized additive model revealed that total cases, cases among scattered children, and cases among daycare children were positively associated with average temperature ( r =0.05, 0.06, 0.03) and average relative humidity ( r =0.03, 0.02, 0.02) (all P <0.01). Excess incidence risk analysis indicated that for every 10 ℃ increase in average temperature, the ER (95% CI ) values were 72.16 (45.91-103.14), 79.76 (52.99- 111.23 ) and 39.30 (14.45-69.54) among total children, scattered children and daycare children, respectively; for every 10% increase in average relative humidity, the ER (95% CI ) values were 28.69 (12.22-47.56), 27.81 (12.01-45.84) and 24.42 (5.56-46.65), respectively. Conclusions The incidence level of HFMD among children in Jiujiang City is positively correlated with the average temperature and average relative humidity. Higher temperature and humidity are associated with an increased risk of excess HFMD incidence in scattered children compared to children in daycare centers.

Objective: To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population. Methods: From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE). Results: The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group. Conclusion The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.

Acute kidney injury (AKI) is a prevalent and life-threatening clinical syndrome characterised by a rapid decline in renal function and diverse pathological etiologies. The condition has been demonstrated to be associated with elevated mortality rates and an increased risk of progression to chronic kidney disease. At present, clinicians depend heavily on conventional functional markers, such as serum creatinine and urine output, for the diagnosis and staging of the disease. It is evident that these conventional indicators characteristically manifest a considerable temporal delay and only undergo modification subsequent to considerable tissue damage. This severely restricts the timeframe for early detection and timely therapeutic intervention. Furthermore, standard markers fail to provide specific biological information regarding the underlying cellular injury mechanisms. The utilisation of advanced probe technologies in molecular imaging offers a robust alternative to overcome these inherent diagnostic limitations.This comprehensive review systematically evaluates recent progress in the design and application of two primary categories of molecular imaging tools for acute kidney disease, specifically reactive probes and enzyme-activated probes. Reactive probes are engineered to specifically interact with redox-active chemical species, including hydrogen peroxide, peroxynitrite, hypochlorous acid, and sulfur dioxide. Because oxidative stress constitutes a primary early event in acute renal tubular damage, these probes enable researchers and clinicians to visualize early cellular injury and radical accumulation well before global renal functional decline becomes evident. We discuss the application of these reactive probes across multiple imaging modalities including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and photoacoustic techniques. Photoacoustic imaging combines high spatial resolution with deep tissue penetration and has successfully demonstrated the ability to provide diagnostic alerts up to 12 h before any detectable rise in serum creatinine levels. Additionally, specific reactive probes have shown promising translational potential when tested by high-throughput screening in clinical human urine samples. Enzyme-activated probes target the specific catalytic activity of disease-relevant enzymes. These include well-documented renal tubular structural biomarkers such as NAG, GGT, and ALP, along with apoptosis-related caspases and specific nitroreductases. By responding only to enzymatic cleavage, these tools provide highly specific and pathology-directed imaging readouts. Recent structural design strategies in this field have advanced significantly beyond single-enzyme detection. Researchers are now focusing on sophisticated dual-target recognition to minimize background noise, multimodal integration to cross-validate imaging signals, and theranostic applications where probes simultaneously deliver diagnostic feedback and therapeutic agents to injured tissues. Nanotechnology serves as a fundamental enabler for realizing these advanced probe functions. By precisely optimizing nanoparticle parameters such as hydrodynamic size, surface charge, and targeting ligands, researchers can achieve amplified signal output, highly precise kidney delivery, and protection against premature degradation in the systemic circulation. For example, modifying surface charges can significantly enhance the active uptake of nanoprobes by damaged renal tubular epithelial cells.While preclinical probe development has progressed rapidly, moving these technologies into routine clinical practice remains a major challenge. We analyze the translational feasibility and current obstacles from biological, technological, and regulatory perspectives. Although biological targets such as KIM-1, FAP, and ALP have been validated in extensive patient cohorts, practical barriers severely limit their immediate clinical application. These obstacles involve complex changes in in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.

Objective To investigate the imaging features and diagnostic value of mammography and magnetic resonance imaging (MRI) in different molecular subtypes of breast cancer. Methods A total of 126 breast cancer patients treated between January 2023 and January 2025 were enrolled, including 36 cases of Luminal A, 30 cases of Luminal B, 32 cases of HER-2 overexpression, and 28 cases of triple-negative breast cancer. The mammographic and MRI features, as well as the detection rates of mammography and MRI, were compared among the different molecular subtypes. Results The proportion of triple-negative breast cancers presenting as masses on mammography was higher than those of other subtypes (P<0.05), while the proportion of calcification was lower than other subtypes (P<0.05). Luminal A tumors showed a lower proportion of masses with indistinct margins on mammography compared with other subtypes (P<0.05), but a higher proportion of spiculated margins compared with HER-2 overexpression and triple-negative subtypes (P<0.05). On MRI, the proportion of triple-negative breast cancers presenting as masses was higher than those of other subtypes (P<0.05). The apparent diffusion coefficients of Luminal A and Luminal B breast cancers were higher than those of other subtypes (P<0.05). The detection rate of Luminal B breast cancer was higher on MRI than that on mammography (P<0.05). Conclusion Mammographic and MRI features differed significantly among molecular subtypes of breast cancer. Both mammography and MRI showed high detection rates across subtypes, with MRI demonstrating a higher detection rate than mammography in Luminal B breast cancer.

ObjectiveType I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages. MethodsActive components ofP. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interactionbetween EGCG and IRF3. ResultsNetwork pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG. ConclusionEGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN‑β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.

Objective To investigate the imaging features and diagnostic value of mammography and magnetic resonance imaging (MRI) in different molecular subtypes of breast cancer. Methods A total of 126 breast cancer patients treated between January 2023 and January 2025 were enrolled, including 36 cases of Luminal A, 30 cases of Luminal B, 32 cases of HER-2 overexpression, and 28 cases of triple-negative breast cancer. The mammographic and MRI features, as well as the detection rates of mammography and MRI, were compared among the different molecular subtypes. Results The proportion of triple-negative breast cancers presenting as masses on mammography was higher than those of other subtypes (P<0.05), while the proportion of calcification was lower than other subtypes (P<0.05). Luminal A tumors showed a lower proportion of masses with indistinct margins on mammography compared with other subtypes (P<0.05), but a higher proportion of spiculated margins compared with HER-2 overexpression and triple-negative subtypes (P<0.05). On MRI, the proportion of triple-negative breast cancers presenting as masses was higher than those of other subtypes (P<0.05). The apparent diffusion coefficients of Luminal A and Luminal B breast cancers were higher than those of other subtypes (P<0.05). The detection rate of Luminal B breast cancer was higher on MRI than that on mammography (P<0.05). Conclusion Mammographic and MRI features differed significantly among molecular subtypes of breast cancer. Both mammography and MRI showed high detection rates across subtypes, with MRI demonstrating a higher detection rate than mammography in Luminal B breast cancer.

Objective To investigate the imaging features and diagnostic value of mammography and magnetic resonance imaging (MRI) in different molecular subtypes of breast cancer. Methods A total of 126 breast cancer patients treated between January 2023 and January 2025 were enrolled, including 36 cases of Luminal A, 30 cases of Luminal B, 32 cases of HER-2 overexpression, and 28 cases of triple-negative breast cancer. The mammographic and MRI features, as well as the detection rates of mammography and MRI, were compared among the different molecular subtypes. Results The proportion of triple-negative breast cancers presenting as masses on mammography was higher than those of other subtypes (P<0.05), while the proportion of calcification was lower than other subtypes (P<0.05). Luminal A tumors showed a lower proportion of masses with indistinct margins on mammography compared with other subtypes (P<0.05), but a higher proportion of spiculated margins compared with HER-2 overexpression and triple-negative subtypes (P<0.05). On MRI, the proportion of triple-negative breast cancers presenting as masses was higher than those of other subtypes (P<0.05). The apparent diffusion coefficients of Luminal A and Luminal B breast cancers were higher than those of other subtypes (P<0.05). The detection rate of Luminal B breast cancer was higher on MRI than that on mammography (P<0.05). Conclusion Mammographic and MRI features differed significantly among molecular subtypes of breast cancer. Both mammography and MRI showed high detection rates across subtypes, with MRI demonstrating a higher detection rate than mammography in Luminal B breast cancer.

AIM: To evaluate whether Wnt pathway-related genes previously implicated in high myopia(HM)could serve as candidate genes for HM in the Chinese Han population, and to identify risk loci associated with HM susceptibility.METHODS: A case-control association analysis was conducted, involving 530 HM patients(HM group)and 1 087 healthy controls. The test efficacy was estimated using Quanto software. Peripheral blood DNA was extracted using the magnetic bead method, and seven candidate single nucleotide polymorphisms(SNPs)were genotyped using the Sequenom MassARRAY system, including HIVEP3 rs17365632, rs35134694, rs11210537, CTNNB1 rs13072632, CAMK2N1 rs10753502, TCF4 rs41396445 and Wnt7B rs73175083. Differences in allele and genotype frequencies between the HM and healthy control groups were compared under different inheritance models. Haplotype analysis was performed using SHEsis plus.RESULTS: All 7 SNPs had a genotyping detection rate exceeding 90%, and were in Hardy-Weinberg equilibrium(P>0.05). The test efficacy of the sample size was above 90.13%, indicating that the samples were representative of the population. In the HM group, the A allele frequency of HIVEP3 rs11210537 was significantly reduced(Pc=0.003, OR=0.889). Conversely, the G allele frequency was significantly elevated(Pc=0.003, OR=1.176). In an additive genetic model(AA vs GG), the AA genotype frequency was significantly lower than the GG genotype frequency(Pc=0.003, OR=0.583). Additionally, the frequency of the CCA haplotype of rs17365632, rs35134694, and rs11210537 in HIVEP3 was decreased in the HM group compared to the control group(Pc=0.008, OR=0.791).CONCLUSION: The SNP locus rs11210537 in the HIVEP3 gene is associated with genetic susceptibility to HM in the Chinese Han population, with the G allele identified as risk genetic markers. The CCA haplotype of rs17365632, rs35134694, and rs11210537 in the HIVEP3 gene represents a protection haplotype for HM.

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.