Objective To analyze the genetic characteristics and variations of influenza A (H3N2) viruses in Ma'anshan from 2022 to 2024, and to provide a scientific basis for local influenza prevention and control. Methods From April 2022 to March 2024, influenza-like illness (ILI) specimens were collected from three national influenza surveillance sentinel hospitals in Ma’anshan. Samples positive for influenza by real-time PCR were subjected to virus culture and identification. A total of 40 representative A/H3N2 strains with hemagglutination titers ≥8 were selected for whole-genome sequencing. Genetic evolution, homology, amino acid variations, and glycosylation sites were analyzed. Results All H3N2 representative strains from the 2022–2023 influenza season belonged to clade 3C.2a1b.2a.1a.1, while those from the 2023–2024 season fell into clade 3C.2a1b.2a.2a.3a.1. The nucleotide and amino acid sequence similarities of HA and NA between the 40 representative strains and the vaccine strain A/Darwin/6/2021 were all above 97.35%. Compared with the vaccine strain, amino acid mutations were identified in antigenic sites A, B, C, and E, as well as in receptor-binding sites of the HA protein. An I222V substitution was detected in the NA protein. The HA protein contained four additional glycosylation sites compared to the vaccine strain, while the glycosylation pattern of the NA protein remained consistent. Conclusion No antigenic drift was observed in the influenza A/H3N2 viruses in Ma'anshan City from 2022 to 2024, but genetic changes such as branching variations, key amino acid substitutions, and an increase in HA glycosylation sites were observed. These findings underscore the importance of sustained molecular surveillance of local influenza viruses.

Objective To investigated the effects of occupational exposure to N,N-dimethylformamide (DMF) on sterol regulatory element-binding protein (SREBP) and iron metabolism among workers. Methods A total of 20 workers occupationally exposed to DMF were selected as the exposure group, and 15 healthy workers without DMF exposure from the same factory were selected as the control group using the purposive sampling method. DMF exposure levels were assessed in individual samples of the workers. The urinary N-methylformamide (NMF) levels were measured by gas chromatography. The mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood was measured by real-time quantitative polymerase chain reaction. Enzyme-linked immunosorbent assay was used to detect serum transferrin, soluble transferrin receptor (sTfR), and ferritin levels. Results The DMF exposure levels among the workers in the control group were below the detection limit, and urinary NMF was undetectable. The median DMF exposure level was 13.30 mg/m³, and the mean urinary NMF level was (9.72±1.78) mg/g Cr among the workers in the exposure group. Compared with the control group, the relative mRNA expression of SREBP-1a, SREBP-1c, and SREBP-2 in peripheral blood of workers in the exposure group increased (all P<0.05), while the levels of transferrin and sTfR decreased (both P<0.01). However, there was no statistically significant difference in serum ferritin levels between the two groups (P>0.05). In the exposure group, urinary NMF level of workers was negatively correlated with the relative mRNA expression level of SREBP-1c in blood [correlation coefficient (r)=-0.50, P=0.03], and positively correlated with the levels of serum transferrin, sTfR, and ferritin (r = 0.63, 0.58, and 0.52, respectively; all P<0.05). Conclusion Occupational exposure to DMF can upregulate the expression of the SREBP family and disrupt iron metabolism, with a potential association between these effects.

ObjectiveTo observe the clinical effect of anterior seat inclination on sit-to-stand (STS) ability and balance function in patients with stroke, as well as brain functional connectivity based on functional near-infrared spectroscopy (fNIRS). MethodsFrom January, 2024 to December, 2025, 43 patients with stroke were randomly divided into control group (n = 21) and experimental group (n = 22). The control group received conventional rehabilitation combined with STS training on a flat seat, while the experimental group received conventional rehabilitation plus STS training with a 20° anterior seat inclination, for two weeks. Five-times sit-to-stand test (FTSST) and Berg Balance Scale (BBS) were assessed before and after training. fNIRS was used to detect changes in cerebral blood oxygenation in the prefrontal cortex (PFC), primary motor cortex (M1), primary somatosensory cortex (S1) and premotor cortex (PMC), and to analyze functional connectivity strength. ResultsAfter training, FTSST time shortened in both groups (t > 3.469, P < 0.01), and was shorter in the experimental group than in the control group (t = -2.065, P < 0.05); BBS scores increased in both groups (|Z| > 4.019, P < 0.01), and was higher in the experimental group than in the control group (Z = -2.250, P < 0.05). fNIRS showed that after training, the functional connectivity strength between the left M1 and the right PFC increased, as well as between the left M1 and the right S1 in the experimental group (t > 3.311, P < 0.05). ConclusionSTS training with anterior seat inclination can enhance functional connectivity in relevant brain regions, which may contribute to improvements of STS ability and balance function in patients with stroke.

To analyze the standard establishment approach and compilation rationale for metallic pharmaceutical packaging standard development in the 2025 edition of the Pharmacopeia of the People's Republic of China.This article systematically explained the background and process of establishing the guiding principles for metallic materials and containers used in pharmaceutical packaging in the Chinese Pharmacopoeia through basic information,relevant domestic and international standards,the establishment of key quality attributes of metallic pharmaceutical packaging materials,and the construction of metallic pharmaceutical packaging material standards.The newly established guidelines,the Pharmacopeia of the People's Republic of China 9625,prioritized product critical quality attributes(CQAs)and real-world applicability.This dual emphasis on rigidity and adaptability enhances drug safety,meets the regulatory requirements,and promotes the globalization and scientific advancement of China's pharmaceutical packaging industry.

Objective:To investigate the feasibility and value of nomogram based on base line clinical and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) characteristics for pretreatment predicting the depth of myometrial invasion and tumor grade of endometrioid endometrial carcinoma (EEC).Methods:Preoperative baseline clinical characteristics and DCE-MRI characteristics of 194 EEC patients were prospectively collected at Obstetrics and Gynecology Hospital, Fudan University from October 2020 to January 2022 and used as a training set. Univariate analysis was conducted to compare baseline clinical characteristics and DCE-MRI quantitative parameters [including tumor volume, and mean, median, and standard deviation of volume transfer constant (K trans), rate constant (K ep), extravascular extracellular volume fraction (V e), and initial area under the enhancement curve (iAUC)] between patients with deep myometrial invasion (DMI) and those with superficial myometrial invasion (SMI), as well as between high-grade and low-grade EEC. Multivariate logistics regression analysis was used to identify independent predictors for the construction of nomogram. An independent external testing set comprising 127 EEC patients was retrospectively collected from Zhongshan Hospital, Fudan University and Zhongshan Hospital, Fudan University (Xiamen Branch). The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used for evaluating the model′s predictive performance and clinical net benefit, respectively. Results:(1) The depth of myometrial invasion: univariate analysis showed that in the training set, the EEC patients with DMI differed significantly from those with SMI in clinical characteristics including higher proportion of postmenopausal state and overweight [body mass index (BMI)≥25 kg/m2], and abnormal levels of serum cancer antigen (CA) 125, CA 199, and human epididymis protein 4 (HE4), and in DCE-MRI quantitative parameters including tumor volume, and median, mean, and standard deviation of K trans, median of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, CA 199, tumor volume, and mean of iAUC were independent predictors of the depth of myometrial invasion, and constructed the nomogram (recorded as Nomogram_1), achieving an AUC of 0.861 (95% CI: 0.803-0.919) in the training set. In the independent external testing set, the AUC was 0.876 (95% CI: 0.815-0.938), with corresponding sensitivity of 82.0%, specificity of 80.7%, accuracy of 81.1%, positive predictive value (PPV) of 65.3%, and negative predictive value (NPV) of 91.0% for predicting DMI. (2) The EEC grade: univariate analysis showed that in the training set, high-grade EEC patients differed significantly from low-grade EEC in clinical characteristics including patient′s age, the proportion of postmenopausal state and overweight, and abnormal levels of serum CA 125, and in DCE-MRI quantitative parameters including tumor volume, median, mean, and standard deviation of K trans, median and mean of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, tumor volume, and median of V e emerged as independent predictors of EEC grade, and constructed the nomogram (recorded as Nomogram_2), achieving an AUC of 0.845 (95% CI: 0.786-0.893) in the training set. While in the external testing set, the AUC was 0.819 (95% CI: 0.744-0.894), with corresponding sensitivity of 72.4%, specificity of 72.4%, accuracy of 72.4%, PPV of 43.8%, and NPV of 89.9% for predicting high-grade EEC. (3) The DCA curves demonstrated that both Nomogram_1 and Nomogram_2 yielded obvious positive clinical net benefits across a wide range of threshold probabilities. Conclusion:The nomogram based on pretreatment clinical and DCE-MRI characteristics has the potential to noninvasive predict the depth of myometrial invasion and grade of EEC, providing valuable reference information for clinical management decision-making.

Objective·To evaluate the predictive value of anti-neutrophil cytoplasmic antibodies(ANCA)in Kawasaki disease(KD)complicated with coronary artery lesions(CALs)and to construct a nomogram prediction model.Methods·A retrospective study was conducted to collect the clinical data of 340 children with KD admitted to Shanghai Children's Medical Center from January 2018 to May 2024.All patients were randomly divided in a 7:3 ratio into a training set(n=237)and a validation set(n=103).Univariate analysis and least absolute shrinkage and selection operator(LASSO)were applied to screen the risk factors of CALs,which were incorporated into multifactorial Logistic regression analysis to develop the nomogram model.The model's discrimination,calibration and clinical practicability were evaluated using the receiver operating characteristic(ROC)curve,calibration curve,Hosmer-Lemeshow goodness-of-fit test,and decision curve analysis(DCA).A new predictive scoring system was obtained by assigning scores to each variable based on the coefficients of the independent variables in the Logistic regression equation,and its predictive efficacy was then compared with that of three commonly used scoring systems,Kobayashi,Egami,and Sano scoring models.Results·Male,low serum albumin level,ANCA positivity,and intravenous immunoglobulin resistance were risk factors for the development of CALs in children with KD,based on which a nomogram model was constructed.The area under the ROC curve for the nomogram in the training set and validation set were 0.747(95%CI 0.667?0.821)and 0.645(95%CI 0.500?0.794),respectively,indicating good effectiveness.The model was verified to have good predictive accuracy through the calibration curve and Hosmer-Lemeshow goodness-of-fit test(training set:χ2=5.105,P=0.746;validation set:χ2=13.549,P=0.094).The DCA showed its clinical usefulness.A predictive scoring system for CALs was developed based on the coefficients of the Logistic regression equation,which demonstrated higher sensitivity(58.4%)and specificity(78.7%)compared to the Kobayashi,Egami,and Sano scoring models.Conclusion·This study developed a new scoring model based on ANCA to effectively predict the risk of CALs in KD patients.The model provides valuable reference for clinicians to identify high-risk patients early,and to formulate personalized treatment plans and management strategies.

Objective To analyze the law of acupoint selection and compatibility of acupuncture and moxibustion and the application law of acupuncture and moxibustion in the treatment of lactational mastitis using complex network technology.Methods The clinical research literature about acupuncture and moxibustion treatment of lactational mastitis was retrieved from CNKI,CBM,Wanfang Data,VIP and PubMed from the establishment of the databases to March 15,2025.The literature was screened according to the standards to build a prescription database of acupuncture and moxibustion treatment of lactational mastitis.SPSS Modeler 18.0 software was used to analyze association rules,and Gephi 0.9 software was used for complex network analysis.Results A total of 108 articles were included.141 acupuncture and moxibustion prescriptions were extracted,involving 74 acupoints,with a total use frequency of 677 times.The high-frequency acupoints were Jianjing,Danzhong,Rugen,Zusanli,Neiguan,etc.Specific acupoints were mainly composed of Wushu acupoints(169 times,21.10%);the acupoints were mainly distributed in the limbs(36);the most frequently used meridian was stomach meridian(168 times,24.82%).The combination of acupoints with the highest correlation was Jianjing-Neiguan-Rugen.Complex network analysis identified 22 core acupoints,with the most commonly used acupuncture method being filiform needle acupuncture(79 times).Conclusion Acupuncture and moxibustion treatment of lactational mastitis pays special attention to the selection of stomach meridian.The compatibility mode is mainly from top to bottom,and the corresponding acupoints are selected according to syndrome differentiation.

Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [⁶⁴Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [⁶⁴Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [⁶⁴Cu]QM-2303 from the bloodstream. Administration of a single dose of [¹⁷⁷Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.

Despite therapy with potent antiviral agents, chronic hepatitis B (CHB) patients remain at high risk of hepatocellular carcinoma (HCC). While metabolites have been rediscovered as active drivers of biological processes including carcinogenesis, the specific metabolites modulating HCC risk in CHB patients are largely unknown. Here, we demonstrate that baseline plasma from CHB patients who later developed HCC during follow-up exhibits growth-promoting properties in a case-control design nested within a large-scale, prospective cohort. Metabolomics analysis reveals a reduction in long-chain acylcarnitines (LCACs) in the baseline plasma of patients with HCC development. LCACs preferentially inhibit the proliferation of HCC cells in vitro at a physiological concentration and prevent the occurrence of HCC in vivo without hepatorenal toxicity. Uptake and metabolism of circulating LCACs increase the intracellular level of acetyl coenzyme A, which upregulates histone H3 Lys14 acetylation at the promoter region of KLF6 gene and thereby activates KLF6/p21 pathway. Indeed, blocking LCAC metabolism attenuates the difference in KLF6/p21 expression induced by baseline plasma of HCC/non-HCC patients. The deficiency of circulating LCACs represents a driver of HCC in CHB patients with viral control. These insights provide a promising direction for developing therapeutic strategies to reduce HCC risk further in the antiviral era.

The activation proteins released by fibroblasts in the tumor microenvironment regulate tumor growth, migration, and treatment response, thereby influencing tumor progression and therapeutic outcomes. Owing to the proliferation and metastasis of tumors, fibroblast activation protein (FAP) is typically highly expressed in the tumor stroma, whereas it is nearly absent in adult normal tissues and benign lesions, making it an attractive target for precision medicine. Radiolabeled agents targeting FAP have the potential for targeted cancer diagnosis and therapy. This comprehensive review aims to describe the evolution of FAPI-based radiopharmaceuticals and their structural optimization. Within its scope, this review summarizes the advances in the use of radiolabeled small molecule inhibitors for tumor imaging and therapy as well as the modification strategies for FAPIs, combined with insights from structure-activity relationships and clinical studies, providing a valuable perspective for radiopharmaceutical clinical development and application.