As a serine protease,thrombin can convert soluble fibrinogen into insoluble fibrin and plays a pivotal role in the coagulation cascade.Therefore,the accurate quantitative assay of thrombin levels is of great value in the evaluation of coagulation function,clinical screening and prognostic monitoring of coagulation-related diseases,and screening of drugs for targeted therapy.Existing methods for thrombin detection can be divided into two categories,e.g.,the assay of concentration levels using nucleic acid aptamers as the affinity elements and the assay of activity levels based on the hydrolytic cleavage of substrate peptides.In recent years,electrochemical biosensors have attracted much attention in thrombin detection due to high sensitivity,high selectivity,simple instrument,fast response,and good portability.In this review,the latest research progress in methods for electrochemical detection of thrombin was summarized,focusing on the detection principles and the applied signal amplification strategies of related electrochemical biosensors.In addition,the challenges with respect to the practical use of electrochemical thrombin biosensors and the prospects were discussed.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.

Animal experiments are widely used in biomedical research for safety assessment,toxicological analysis,efficacy evaluation,and mechanism exploration.In recent years,the ethical review system has become more stringent,and awareness of animal welfare has continuously increased.To promote more efficient and cost-effective drug research and development,the United States passed the Food and Drug Administration(FDA)Modernization Act 2.0 in September 2022,which removed the federal mandate requiring animal testing in preclinical drug research.In April 2025,the FDA further proposed to adopt a series of"new alternative methods"in the research and development of drugs such as monoclonal antibodies,which included artificial intelligence computing models,organoid toxicity tests,and 3D micro-physiological systems,thereby gradually phasing out traditional animal experiment models.Among these cutting-edge technologies,3D bioprinting models are a significant alternative and complement to animal models,owing to their high biomimetic properties,reproducibility,and scalability.This review provides a comprehensive overview of advancements and applications of 3D bioprinting technology in the fields of biomedical and pharmaceutical research.It starts by detailing the essential elements of 3D bioprinting,including the selection and functional design of biomaterials,along with an explanation of the principles and characteristics of various printing strategies,highlighting the advantages in constructing complex multicellular spatial structures,regulating microenvironments,and guiding cell fate.It then discusses the typical applications of 3D bioprinting in drug research and development,including high-throughput screening of drug efficacy by constructing disease models such as tumors,infectious diseases,and rare diseases,as well as conducting drug toxicology research by building organ-specific models such as those of liver and heart.Additionally,the review examines the role of 3D bioprinting in tissue engineering,discussing its contributions to the construction of functional tissues such as bone,cartilage,skin,and blood vessels,as well as the latest progress in regeneration and replacement.Furthermore,this review analyzes the complementary advantages of 3D bioprinting models and animal models in the research of disease progression,drug mechanisms,precision medicine,drug development,and tissue regeneration,and discusses the potential and challenges of their integration in improving model accuracy and physiological relevance.In conclusion,as a cutting-edge in vitro modeling and manufacturing technology,3D bioprinting is gradually establishing a comprehensive application system covering disease modeling,drug screening,toxicity prediction,and tissue regeneration.

Objective:To determine whether spinal cord injury (SCI) triggers secondary neuroinflammation and neuronal injury in remote brain regions by impairing the drainage function of the meningeal lymphatic vessels (MLVs).Methods:Fifty-two female C57BL/6 mice were assigned with the random number table into four groups ( n=13 per group): sham group, SCI group, adeno-associated virus negative control group (negative control group), and adeno-associated virus overexpressing VEGF-C group (VEGF-C group). The sham group underwent laminectomy without spinal cord injury. In the SCI group, negative control group and VEGF-C group, T 9 contusion was made to establish the SCI models using a modified Allen′s impactor. At 4 weeks before SCI modeling, the negative control group and VEGF-C group were injected via the cisterna magna with 3 μl adeno-associated virus for negative control or adeno-associated virus for VEGF-C overexpression. At 56 days after injury, Alexa Fluor? 647 ovalbumin conjugate (OVA-647) was injected via the cisterna magna as a tracer. Two hours later, the proportion of OVA-647 in the deep cervical lymph nodes (dCLN) was detected. Immunofluorescence was performed to assess the proportion of MLVs marker lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1) and expression levels of microglial marker ionized calcium-binding adaptor molecule 1 (Iba1) in the cerebral cortex, hippocampus, midbrain, and thalamus across the experimental groups. ELISA was employed to quantify the levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) and Nissl staining was used to assess neuronal counts in these regions. Results:At 56 days after injury, the OVA-647 proportion in the dCLN was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas the SCI group and negative control group showed a lower OVA-647 proportion in the dCLN than the VEGF-C group ( P<0.05). At 56 days after injury, the dural LYVE-1 proportion was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas it was lower in the SCI group and negative control group than that in the VEGF-C group ( P<0.05). At 56 days after injury, the count of Iba1-positive microglia across all the above-mentioned regions was increased in the SCI group and negative control group ( P<0.01), compared with that in the sham group, whereas it was reduced in these regions in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.01). At 56 days after injury, TNF-α and IL-1β levels in these regions were both elevated in the SCI group and negative control group when compared with those in the sham group ( P<0.05), whereas they were reduced in the VEGF-C group, compared with those in the SCI group and negative control group ( P<0.05). At 56 days after injury, neuronal survival in the regions was decreased in the SCI group and negative control group, compared with that in the sham group ( P<0.05), whereas it was increased in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.05). Conclusion:SCI can induce secondary neuroinflammation and neuronal damage in remote brain regions by impairing the drainage function of MLVs.

Objective To analyze the application effects of artificial intelligence (AI) software and Mimics software in preoperative three-dimensional (3D) reconstruction for thoracoscopic anatomical pulmonary segmentectomy. Methods A retrospective analysis was conducted on patients who underwent thoracoscopic pulmonary segmentectomy at the Second People's Hospital of Huai'an from October 2019 to March 2024. Patients who underwent AI 3D reconstruction were included in the AI group, those who underwent Mimics 3D reconstruction were included in the Mimics group, and those who did not undergo 3D reconstruction were included in the control group. Perioperative related indicators of each group were compared. Results A total of 168 patients were included, including 73 males and 95 females, aged 25-81 (61.61±10.55) years. There were 79 patients in the AI group, 53 patients in the Mimics group, and 36 patients in the control group. There were no statistical differences in gender, age, smoking history, nodule size, number of lymph node dissection groups, postoperative pathological results, or postoperative complications among the three groups (P>0.05). There were statistical differences in operation time (P<0.001), extubation time (P<0.001), drainage volume (P<0.001), bleeding volume (P<0.001), and postoperative hospital stay (P=0.001) among the three groups. There were no statistical differences in operation time, extubation time, bleeding volume, or postoperative hospital stay between the AI group and the Mimics group (P>0.05). There was no statistical difference in drainage volume between the AI group and the control group (P=0.494), while there were statistical differences in operation time, drainage tube retention time, bleeding volume, and postoperative hospital stay (P<0.05). Conclusion For patients requiring thoracoscopic anatomical pulmonary segmentectomy, preoperative 3D reconstruction and preoperative planning based on 3D images can shorten the operation time, postoperative extubation time and hospital stay, and reduce intraoperative bleeding and postoperative drainage volume compared with reading CT images only. The use of AI software for 3D reconstruction is not inferior to Mimics manual 3D reconstruction in terms of surgical guidance and postoperative recovery, which can reduce the workload of clinicians and is worth promoting.

The genome tagging project (GTP) plays a pivotal role in addressing a critical gap in the understanding of protein functions. Within this framework, we successfully generated a human influenza hemagglutinin-tagged sperm-specific protein 411 (HA-tagged Ssp411) mouse model. This model is instrumental in probing the expression and function of Ssp411. Our research revealed that Ssp411 is expressed in the round spermatids, elongating spermatids, elongated spermatids, and epididymal spermatozoa. The comprehensive examination of the distribution of Ssp411 in these germ cells offers new perspectives on its involvement in spermiogenesis. Nevertheless, rigorous further inquiry is imperative to elucidate the precise mechanistic underpinnings of these functions. Ssp411 is not detectable in metaphase II (MII) oocytes, zygotes, or 2-cell stage embryos, highlighting its intricate role in early embryonic development. These findings not only advance our understanding of the role of Ssp411 in reproductive physiology but also significantly contribute to the overarching goals of the GTP, fostering groundbreaking advancements in the fields of spermiogenesis and reproductive biology.
Animals ; Female ; Humans ; Male ; Mice ; Spermatids/metabolism* ; Spermatogenesis/physiology* ; Spermatozoa/metabolism* ; Thioredoxins/genetics*

Objective:To determine whether spinal cord injury (SCI) triggers secondary neuroinflammation and neuronal injury in remote brain regions by impairing the drainage function of the meningeal lymphatic vessels (MLVs).Methods:Fifty-two female C57BL/6 mice were assigned with the random number table into four groups ( n=13 per group): sham group, SCI group, adeno-associated virus negative control group (negative control group), and adeno-associated virus overexpressing VEGF-C group (VEGF-C group). The sham group underwent laminectomy without spinal cord injury. In the SCI group, negative control group and VEGF-C group, T 9 contusion was made to establish the SCI models using a modified Allen′s impactor. At 4 weeks before SCI modeling, the negative control group and VEGF-C group were injected via the cisterna magna with 3 μl adeno-associated virus for negative control or adeno-associated virus for VEGF-C overexpression. At 56 days after injury, Alexa Fluor? 647 ovalbumin conjugate (OVA-647) was injected via the cisterna magna as a tracer. Two hours later, the proportion of OVA-647 in the deep cervical lymph nodes (dCLN) was detected. Immunofluorescence was performed to assess the proportion of MLVs marker lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1) and expression levels of microglial marker ionized calcium-binding adaptor molecule 1 (Iba1) in the cerebral cortex, hippocampus, midbrain, and thalamus across the experimental groups. ELISA was employed to quantify the levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) and Nissl staining was used to assess neuronal counts in these regions. Results:At 56 days after injury, the OVA-647 proportion in the dCLN was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas the SCI group and negative control group showed a lower OVA-647 proportion in the dCLN than the VEGF-C group ( P<0.05). At 56 days after injury, the dural LYVE-1 proportion was higher in the sham group than that in the SCI group and negative control group ( P<0.01), whereas it was lower in the SCI group and negative control group than that in the VEGF-C group ( P<0.05). At 56 days after injury, the count of Iba1-positive microglia across all the above-mentioned regions was increased in the SCI group and negative control group ( P<0.01), compared with that in the sham group, whereas it was reduced in these regions in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.01). At 56 days after injury, TNF-α and IL-1β levels in these regions were both elevated in the SCI group and negative control group when compared with those in the sham group ( P<0.05), whereas they were reduced in the VEGF-C group, compared with those in the SCI group and negative control group ( P<0.05). At 56 days after injury, neuronal survival in the regions was decreased in the SCI group and negative control group, compared with that in the sham group ( P<0.05), whereas it was increased in the VEGF-C group, compared with that in the SCI group and negative control group ( P<0.05). Conclusion:SCI can induce secondary neuroinflammation and neuronal damage in remote brain regions by impairing the drainage function of MLVs.

Objective:To explore the risk fall death associated with compound hot extremes.Methods:This study collected data on fall deaths in Guangdong, Hunan, and Zhejiang Provinces from 2013 to 2018 and matched their exposure to meteorological data. Based on a time-stratified case-crossover design, a conditional logistic regression model embedded with a cross-basis function of the distributed lag nonlinear model was applied to estimate the risk of fall to death due to compound hot extremes.Results:Compared with regular days, compound hot extremes significantly increased the risk of death from falls ( OR=1.19, 95% CI: 1.09-1.30), and women ( OR=1.27, 95% CI: 1.11-1.45) and the elderly age 65 and above ( OR=1.24, 95% CI: 1.12-1.39) were more sensitive to compound hot extremes. The maximum duration of compound hot extremes was 7 days, and the maximum intensity was 6.2 ℃, and the duration and intensity were proportional to the risk of death from falls. The risk of death from falls increased by 12% ( OR=1.12, 95% CI: 1.06-1.18) each day, increasing in duration after linearization. The risk of death from falls increased by 16% ( OR=1.16, 95% CI: 1.10-1.22) for each 1 ℃ increase in linearized intensity. Conclusion:Compound hot extremes increase the risk of death cases from falls.