Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

Background and Aims:Implant-based breast reconstruction is one of the most common reconstructive approaches after mastectomy for breast cancer.However,the incidence of postoperative complications remains significant,and the associated risk factors have not been fully elucidated.This study aimed to analyze the incidence of surgical complications following implant-based breast reconstruction in patients undergoing mastectomy at our center and to identify potential risk factors.Methods:A retrospective analysis was conducted on patients who underwent mastectomy and implant-based breast reconstruction at Sun Yat-sen Memorial Hospital between May 2004 and August 2022.Patients were grouped according to the presence or absence of postoperative surgical complications,and multivariate Logistic regression was used to identify independent risk factors.Results:A total of 545 patients with 602 reconstructed breasts were included.Surgical complications occurred in 13.6%(82/602)of the cases,including infection,wound dehiscence/poor healing,flap or nipple-areola necrosis,and implant leakage/rupture.Multivariate analysis revealed that nipple-areola complex resection(OR=1.934,95%CI=1.056-3.542,P=0.033),postoperative radiotherapy(OR=2.483,95%CI=1.527-4.036,P<0.001),implant volume≥300 mL(OR=1.663,95%CI=1.025-2.696,P=0.039),and surgeon experience with fewer than 10 cases(OR=1.804,95%CI=1.092-2.979,P=0.021)were all independent risk factors for complications.Conclusion:NAC resection,radiotherapy,large implant volume,and limited surgical experience are important independent risk factors for postoperative surgical complications following implant-based breast reconstruction.Thorough preoperative evaluation and appropriate surgical planning are essential to minimize risks.

Objective:To study the application of "experiential training on death education" in teaching nursing interns in the oncology department, and to explore a novel method of death education for nursing interns.Methods:From September 2019 to September 2023, a total of 120 nursing students who interned in the Department of Oncology, Nuclear Industry 416 Hospital were assigned to the control group (53 students) and the study group (67 students) based on their enrollment time. The control group received traditional theoretical teaching and experience in caring for terminally ill patients, while the study group received experiential training on death education. The Chinese death attitude profile-revised (DAP-R), coping with death scale (CDS), course satisfaction, and learning outcomes were observed after 3-month internship. A data analysis was conducted using SPSS 26.0. The differences between two groups were compared using the independent samples t-test. The differences before and after education in the same group were compared using paired t-test. The comparison of categorical data between groups was performed using the chi-square test, while ranked data were compared using the rank-sum test. Results:There were no significant differences in the DAP-R scores between the two groups before education ( P>0.05). The scores of five dimensions of DAP-R were significantly higher in the study group than in the control group after education [fear of death: (22.11±5.38) points vs. (17.14±5.23) points, P<0.05; death evasion: (14.83±4.07) points vs. (12.31±4.15) points, P<0.05; neutral acceptance: (19.95±4.44) points vs. (22.31±5.14) points, P<0.05; approaching acceptance: (32.16±6.93) points vs. (35.23±7.33) points, P<0.05; avoiding acceptance: (16.47±5.86) points vs. (18.94±5.09) points, P<0.05]. There were no significant differences in the six factors of CDS between the two groups before education ( P>0.05). The CDS scores were significantly higher in the study group than in the control group after education ( P<0.05). The scores of three dimensions (novelty of course content, course satisfaction, and self-engagement) were significantly higher in the study group than in the control group after education ( P<0.05). The scores of improvement of empathy [(2.44±0.55) points vs. (3.16±0.50) points], attention to spiritual issues [(2.61±0.49) points vs. (3.11±0.52) points], improvement of communication skills [(3.10±0.51) points vs. (4.23±0.47) points], and correct values of life [(2.29±0.44) points vs. (3.37±0.55) points] were significantly higher in the study group than in the control group after education ( P<0.05). Conclusions:Experiential training on death education can increase the experience of students, improve their attitude towards death and ability to cope with death, and enhance their initiative and enthusiasm for learning.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Background and Aims:Implant-based breast reconstruction is one of the most common reconstructive approaches after mastectomy for breast cancer.However,the incidence of postoperative complications remains significant,and the associated risk factors have not been fully elucidated.This study aimed to analyze the incidence of surgical complications following implant-based breast reconstruction in patients undergoing mastectomy at our center and to identify potential risk factors.Methods:A retrospective analysis was conducted on patients who underwent mastectomy and implant-based breast reconstruction at Sun Yat-sen Memorial Hospital between May 2004 and August 2022.Patients were grouped according to the presence or absence of postoperative surgical complications,and multivariate Logistic regression was used to identify independent risk factors.Results:A total of 545 patients with 602 reconstructed breasts were included.Surgical complications occurred in 13.6%(82/602)of the cases,including infection,wound dehiscence/poor healing,flap or nipple-areola necrosis,and implant leakage/rupture.Multivariate analysis revealed that nipple-areola complex resection(OR=1.934,95%CI=1.056-3.542,P=0.033),postoperative radiotherapy(OR=2.483,95%CI=1.527-4.036,P<0.001),implant volume≥300 mL(OR=1.663,95%CI=1.025-2.696,P=0.039),and surgeon experience with fewer than 10 cases(OR=1.804,95%CI=1.092-2.979,P=0.021)were all independent risk factors for complications.Conclusion:NAC resection,radiotherapy,large implant volume,and limited surgical experience are important independent risk factors for postoperative surgical complications following implant-based breast reconstruction.Thorough preoperative evaluation and appropriate surgical planning are essential to minimize risks.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Objective:To study the application of "experiential training on death education" in teaching nursing interns in the oncology department, and to explore a novel method of death education for nursing interns.Methods:From September 2019 to September 2023, a total of 120 nursing students who interned in the Department of Oncology, Nuclear Industry 416 Hospital were assigned to the control group (53 students) and the study group (67 students) based on their enrollment time. The control group received traditional theoretical teaching and experience in caring for terminally ill patients, while the study group received experiential training on death education. The Chinese death attitude profile-revised (DAP-R), coping with death scale (CDS), course satisfaction, and learning outcomes were observed after 3-month internship. A data analysis was conducted using SPSS 26.0. The differences between two groups were compared using the independent samples t-test. The differences before and after education in the same group were compared using paired t-test. The comparison of categorical data between groups was performed using the chi-square test, while ranked data were compared using the rank-sum test. Results:There were no significant differences in the DAP-R scores between the two groups before education ( P>0.05). The scores of five dimensions of DAP-R were significantly higher in the study group than in the control group after education [fear of death: (22.11±5.38) points vs. (17.14±5.23) points, P<0.05; death evasion: (14.83±4.07) points vs. (12.31±4.15) points, P<0.05; neutral acceptance: (19.95±4.44) points vs. (22.31±5.14) points, P<0.05; approaching acceptance: (32.16±6.93) points vs. (35.23±7.33) points, P<0.05; avoiding acceptance: (16.47±5.86) points vs. (18.94±5.09) points, P<0.05]. There were no significant differences in the six factors of CDS between the two groups before education ( P>0.05). The CDS scores were significantly higher in the study group than in the control group after education ( P<0.05). The scores of three dimensions (novelty of course content, course satisfaction, and self-engagement) were significantly higher in the study group than in the control group after education ( P<0.05). The scores of improvement of empathy [(2.44±0.55) points vs. (3.16±0.50) points], attention to spiritual issues [(2.61±0.49) points vs. (3.11±0.52) points], improvement of communication skills [(3.10±0.51) points vs. (4.23±0.47) points], and correct values of life [(2.29±0.44) points vs. (3.37±0.55) points] were significantly higher in the study group than in the control group after education ( P<0.05). Conclusions:Experiential training on death education can increase the experience of students, improve their attitude towards death and ability to cope with death, and enhance their initiative and enthusiasm for learning.

Due to the limitations of current anti-HBV therapies, the HBV core (HBc or HBcAg) protein assembly modulators (CpAMs) are believed to be potential anti-HBV agents. Therefore, discovering safe and efficient CpAMs is of great value. In this study, we established a HiBiT-based high-throughput screening system targeting HBc and screened novel CpAMs from an in-house marine chemicals library. A novel lead compound 8a, a derivative of the marine natural product naamidine J, has been successfully screened for potential anti-HBV activity. Bioactivity-driven synthesis was then conducted, and the structure‒activity relationship was analyzed, resulting in the discovery of the most effective compound 11a (IC₅₀ = 0.24 μmol/L). Furthermore, 11a was found to significantly inhibit HBV replication in multiple cell models and exhibit a synergistic effect with tenofovir disoproxil fumarate (TDF) and IFNa2 in vitro for anti-HBV activity. Treatment with 11a in a hydrodynamic-injection mouse model demonstrated significant anti-HBV activity without apparent hepatotoxicity. These findings suggest that the naamidine J derivative 11a could be used as the HBV core protein assembly modulator to develop safe and effective anti-HBV therapies.