Lonicerae Japonicae Flos refers to the dried flower buds or flowers about to open of Lonicera japonica （Caprifoliaceae）. Its dried flower buds or early blooming flowers are listed in the Pharmacopoeia of the People's Republic of China （2020 edition） as official medicinal materials. As a Chinese medicine with "heat-clearing and detoxifying" properties and a classic medicinal-edible resource， it is mainly produced in northern authentic producing regions such as Shandong， Henan， and Hebei in China. Lonicerae Japonicae Flos contains abundant bioactive substances that are considered safe and effective， with functions including relieving sore throat， antibacterial and anti-inflammatory effects， and immune regulation. In recent years， with the modernization of traditional Chinese medicine （TCM） and the rapid development of the "big health" industry， Lonicerae Japonicae Flos has become a research hotspot in the fields of natural medicines and functional foods due to its multi-target pharmacological activities and broad application potential. To date， chemical constituents identified from Lonicerae Japonicae Flos include organic acids， flavonoids， iridoids， triterpenes， triterpenoid saponins， and volatile oils. Modern pharmacological studies have shown that Lonicerae Japonicae Flos possesses anti-inflammatory， antibacterial， antioxidant， antiviral， antidiabetic， cardiovascular and neuroprotective， and immunomodulatory activities. In terms of modern applications， Lonicerae Japonicae Flos has developed into a full industrial chain covering pharmaceuticals， health products， daily chemical products， and food additives， demonstrating high medicinal and health value. Strengthening the development of Lonicerae Japonicae Flos-based health products is of great significance. Based on relevant domestic and international literature， this paper systematically reviews the innovative applications of Lonicerae Japonicae Flos in traditional medicine， modern clinical formulations， health foods， and daily chemical products from the perspectives of chemical composition， pharmacological effects， and modern applications， aiming to further deepen basic research on Lonicerae Japonicae Flos. Meanwhile， this paper analyzes and proposes suggestions for promoting applied research on Lonicerae Japonicae Flos， in order to provide a scientific basis for its sound development and to offer references for the rational development and comprehensive utilization of medicinal and edible resources.

Total-body PET/CT, with its long axial field of view and high sensitivity detector, has shown potential for reducing the dose of radiopharmaceuticals. However, pediatric patients are significantly more sensitive to radiation and have a higher long-term cancer risk than adults, posing fundamental challenges for dose management in PET/CT examinations for these patients. In this article, the technical characteristics of total-body PET/CT and its radiation exposure status in children were systematically analyzed. The radiation exposure could be controlled by the following optimization strategies: adjusting the CT exposure parameters, optimizing the scanning mode, adding reconstruction algorithm, and reducing the injected dose of radioactive tracer. By addressing both external and internal radiation during the PET/CT scanning process, the overall radiation dose received by pediatric patients can be reduced within a certain range. In addition, this article also discusses the technical differences between “total-body” and “whole-body” concepts, and emphasizes that the future optimization of radiation dose in pediatric PET/CT should be realized by integration of personalized scanning protocols. Through reasonable management of scanning protocols and processes, low-dose and high-quality PET/CT imaging can be achieved in clinical environments, thus maximizing protection of pediatric patient health while minimizing the risks associated with ionizing radiation exposure.

Edema， as a common pathological phenomenon， is essentially the abnormal accumulation of body fluids in the interstitial spaces of human tissues and is often a direct manifestation of various underlying diseases， such as heart failure， impaired renal filtration function， or liver metabolic disorders. In the Western medical system， strategies for treating edema primarily focus on the use of diuretics to promote the excretion of excess fluid in the body， while simultaneously addressing the underlying causes through targeted treatment. However， long-term reliance on the use of diuretics may lead to a decrease in drug sensitivity and induce side effects， including electrolyte disorders such as hypokalemia and hypercalcemia， posing a potential threat to patients' overall health. Compared with Western medicine， traditional Chinese medicine （TCM） has demonstrated well-recognized and sustained efficacy in treating edema with its unique theoretical system. Zhulingtang， as a classic and commonly used TCM formula， is widely applied as it can effectively relieve edema and related symptoms. In recent years， ongoing in-depth studies on the treatment of edema with Zhulingtang have revealed multiple mechanisms of action of Zhulingtang， including the regulation of water metabolism and the reduction of inflammatory responses， thereby providing a solid theoretical basis for clinical practice. This review summarized the research progress on the treatment of edema with Zhulingtang in recent years and analyzed the active ingredients and action pathways of Zhulingtang. Additionally， the primary mechanisms of action and efficacy were systematically analyzed， so as to provide references for the clinical application of Zhulingtang in treating various types of edema， such as cardiogenic edema， renal edema， and hepatogenic edema. This review aims to offer theoretical support and practical guidance for clinicians in deciding treatment approaches， as well as references for subsequent in-depth studies， thereby promoting further development of TCM in the treatment of edema.

Edema， as a common pathological phenomenon， is essentially the abnormal accumulation of body fluids in the interstitial spaces of human tissues and is often a direct manifestation of various underlying diseases， such as heart failure， impaired renal filtration function， or liver metabolic disorders. In the Western medical system， strategies for treating edema primarily focus on the use of diuretics to promote the excretion of excess fluid in the body， while simultaneously addressing the underlying causes through targeted treatment. However， long-term reliance on the use of diuretics may lead to a decrease in drug sensitivity and induce side effects， including electrolyte disorders such as hypokalemia and hypercalcemia， posing a potential threat to patients' overall health. Compared with Western medicine， traditional Chinese medicine （TCM） has demonstrated well-recognized and sustained efficacy in treating edema with its unique theoretical system. Zhulingtang， as a classic and commonly used TCM formula， is widely applied as it can effectively relieve edema and related symptoms. In recent years， ongoing in-depth studies on the treatment of edema with Zhulingtang have revealed multiple mechanisms of action of Zhulingtang， including the regulation of water metabolism and the reduction of inflammatory responses， thereby providing a solid theoretical basis for clinical practice. This review summarized the research progress on the treatment of edema with Zhulingtang in recent years and analyzed the active ingredients and action pathways of Zhulingtang. Additionally， the primary mechanisms of action and efficacy were systematically analyzed， so as to provide references for the clinical application of Zhulingtang in treating various types of edema， such as cardiogenic edema， renal edema， and hepatogenic edema. This review aims to offer theoretical support and practical guidance for clinicians in deciding treatment approaches， as well as references for subsequent in-depth studies， thereby promoting further development of TCM in the treatment of edema.

Objective To evaluate the applicability and guideline concordance of the Chinese Society of Clinical Oncology(CSCO)arti-ficial intelligence(AI)system in clinical decision-making for colorectal cancer(CRC)patients,and to explore its feasibility in real-world clinical applications.Methods A total of 972 CRC patients diagnosed and treated at the Second Affiliated Hospital,Zhejiang University School of Medicine,from January 2010 to December 2021,were included.Patient data were analyzed by the CSCO AI system to gener-ate treatment decisions,and decision concordance was assessed by a blinded independent central review(BICR)panel.The applicability and guideline concordance rates of the CSCO AI system were calculated for different treatment stages,and a logistic regression model was used to analyze factors influencing the system's decision discrepancies with actual treatments.Results The overall applicability rate of the CSCO AI system was 96.2%,and the overall guideline concordance rate was 94.9%.In the adjuvant and palliative treatment stages,the system's applicability rates were 95.8%and 96.7%,respectively,and the guideline concordance rates were 95.0%and 94.9%,respective-ly.Multivariate logistic regression analysis showed that age≥65 years and high-risk stage Ⅱ treatment were significant factors affecting guideline concordance in the adjuvant treatment stage(both P<0.05).Conclusions The CSCO AI system demonstrated high applicability and guideline concordance in the adjuvant and palliative treatment stages for CRC.The system's clinical decision-making potential is sig-nificant,and it can be further optimized for specific clinical scenarios and promoted for use across various medical institutions.

Objective To evaluate the applicability and guideline concordance of the Chinese Society of Clinical Oncology(CSCO)arti-ficial intelligence(AI)system in clinical decision-making for colorectal cancer(CRC)patients,and to explore its feasibility in real-world clinical applications.Methods A total of 972 CRC patients diagnosed and treated at the Second Affiliated Hospital,Zhejiang University School of Medicine,from January 2010 to December 2021,were included.Patient data were analyzed by the CSCO AI system to gener-ate treatment decisions,and decision concordance was assessed by a blinded independent central review(BICR)panel.The applicability and guideline concordance rates of the CSCO AI system were calculated for different treatment stages,and a logistic regression model was used to analyze factors influencing the system's decision discrepancies with actual treatments.Results The overall applicability rate of the CSCO AI system was 96.2%,and the overall guideline concordance rate was 94.9%.In the adjuvant and palliative treatment stages,the system's applicability rates were 95.8%and 96.7%,respectively,and the guideline concordance rates were 95.0%and 94.9%,respective-ly.Multivariate logistic regression analysis showed that age≥65 years and high-risk stage Ⅱ treatment were significant factors affecting guideline concordance in the adjuvant treatment stage(both P<0.05).Conclusions The CSCO AI system demonstrated high applicability and guideline concordance in the adjuvant and palliative treatment stages for CRC.The system's clinical decision-making potential is sig-nificant,and it can be further optimized for specific clinical scenarios and promoted for use across various medical institutions.

Objective: We previously elucidated that long non-coding RNA Promoter of CDKN1A Antisense DNA damage Activated RNA (PANDAR) as a p53-dependent oncogene to promote cisplatin resistance in ovarian cancer (OC). Intriguingly, high level of p53-independent PANDAR was found in cisplatin-resistant patients with p53 mutation. Here, our study probed the new roles and the underlying mechanisms of PANDAR in p53-mutant OC cisplatin-resistance. Methods: A2780 and A2780-DDP cells were served as OC cisplatin-sensitive and cisplatinresistant cells. HO-8910PM cells were subjected to construct chemotherapy-induced extracellular vesicles (Chemo-EVs). Transmission electron microscopy (TEM) and nanoparticle tracking analysis were employed to evaluate Chemo-EVs. Cell viability was assessed using cell counting kit-8 and colony formation assays. Cell apoptosis was assessed using Annexin V and propidium iodide staining. The relationships between PANDAR, serine and arginine-rich premRNA splicing factor 9 (SRSF9) were verified by RNA immunoprecipitation and fluorescence in situ hybridization. Tumor xenograft experiment was employed to evaluate the effects of PANDAR-Chemo-EVs on OC cisplatin-resistance in vivo. Immunofluorescent staining and immunohistochemistry were performed in tumor tissue. Results: PANDAR level increased in OC patients with p53-mutation. PANDAR efflux enacted via exosomes under cisplatin conditions. Additionally, exosomes from OC cell lines carried PANDAR, which significantly increased cell survival and chemoresistance in vitro and tumor progression and metastasis in vivo. During cisplatin-induced stress, SRSF9 was recruited to nuclear bodies by increased PANDAR and muted apoptosis in response to cisplatin. Besides, SRSF9 significantly increased the ratio of SIRT4/SIRT6 mRNA in OC. Conclusion Cisplatin-induced exosomes transfer PANDAR and lead to a rapid adaptation of OC cell survival through accumulating SRSF9 following cisplatin stress exposure.

Objective: We previously elucidated that long non-coding RNA Promoter of CDKN1A Antisense DNA damage Activated RNA (PANDAR) as a p53-dependent oncogene to promote cisplatin resistance in ovarian cancer (OC). Intriguingly, high level of p53-independent PANDAR was found in cisplatin-resistant patients with p53 mutation. Here, our study probed the new roles and the underlying mechanisms of PANDAR in p53-mutant OC cisplatin-resistance. Methods: A2780 and A2780-DDP cells were served as OC cisplatin-sensitive and cisplatinresistant cells. HO-8910PM cells were subjected to construct chemotherapy-induced extracellular vesicles (Chemo-EVs). Transmission electron microscopy (TEM) and nanoparticle tracking analysis were employed to evaluate Chemo-EVs. Cell viability was assessed using cell counting kit-8 and colony formation assays. Cell apoptosis was assessed using Annexin V and propidium iodide staining. The relationships between PANDAR, serine and arginine-rich premRNA splicing factor 9 (SRSF9) were verified by RNA immunoprecipitation and fluorescence in situ hybridization. Tumor xenograft experiment was employed to evaluate the effects of PANDAR-Chemo-EVs on OC cisplatin-resistance in vivo. Immunofluorescent staining and immunohistochemistry were performed in tumor tissue. Results: PANDAR level increased in OC patients with p53-mutation. PANDAR efflux enacted via exosomes under cisplatin conditions. Additionally, exosomes from OC cell lines carried PANDAR, which significantly increased cell survival and chemoresistance in vitro and tumor progression and metastasis in vivo. During cisplatin-induced stress, SRSF9 was recruited to nuclear bodies by increased PANDAR and muted apoptosis in response to cisplatin. Besides, SRSF9 significantly increased the ratio of SIRT4/SIRT6 mRNA in OC. Conclusion Cisplatin-induced exosomes transfer PANDAR and lead to a rapid adaptation of OC cell survival through accumulating SRSF9 following cisplatin stress exposure.

Objective: We previously elucidated that long non-coding RNA Promoter of CDKN1A Antisense DNA damage Activated RNA (PANDAR) as a p53-dependent oncogene to promote cisplatin resistance in ovarian cancer (OC). Intriguingly, high level of p53-independent PANDAR was found in cisplatin-resistant patients with p53 mutation. Here, our study probed the new roles and the underlying mechanisms of PANDAR in p53-mutant OC cisplatin-resistance. Methods: A2780 and A2780-DDP cells were served as OC cisplatin-sensitive and cisplatinresistant cells. HO-8910PM cells were subjected to construct chemotherapy-induced extracellular vesicles (Chemo-EVs). Transmission electron microscopy (TEM) and nanoparticle tracking analysis were employed to evaluate Chemo-EVs. Cell viability was assessed using cell counting kit-8 and colony formation assays. Cell apoptosis was assessed using Annexin V and propidium iodide staining. The relationships between PANDAR, serine and arginine-rich premRNA splicing factor 9 (SRSF9) were verified by RNA immunoprecipitation and fluorescence in situ hybridization. Tumor xenograft experiment was employed to evaluate the effects of PANDAR-Chemo-EVs on OC cisplatin-resistance in vivo. Immunofluorescent staining and immunohistochemistry were performed in tumor tissue. Results: PANDAR level increased in OC patients with p53-mutation. PANDAR efflux enacted via exosomes under cisplatin conditions. Additionally, exosomes from OC cell lines carried PANDAR, which significantly increased cell survival and chemoresistance in vitro and tumor progression and metastasis in vivo. During cisplatin-induced stress, SRSF9 was recruited to nuclear bodies by increased PANDAR and muted apoptosis in response to cisplatin. Besides, SRSF9 significantly increased the ratio of SIRT4/SIRT6 mRNA in OC. Conclusion Cisplatin-induced exosomes transfer PANDAR and lead to a rapid adaptation of OC cell survival through accumulating SRSF9 following cisplatin stress exposure.

Accurate receptor/ligand binding free energy calculations can greatly accelerate drug discovery by identifying highly potent ligands. By simulating the change from one compound structure to another, the relative binding free energy (RBFE) change can be calculated based on the theoretically rigorous free energy perturbation (FEP) method. However, existing FEP-RBFE approaches may face convergence challenges due to difficulties in simulating non-physical intermediate states, which can lead to increased computational costs to obtain the converged results. To fundamentally overcome these issues and accelerate drug discovery, a new combined-structure RBFE (CS-FEP) calculation strategy was proposed, which solved the existing issues by constructing a new alchemical pathway, smoothed the alchemical transformation, increased the phase-space overlap between adjacent states, and thus significantly increased the convergence and accelerated the relative binding free energy calculations. This method was extensively tested in a practical drug discovery effort by targeting phosphodiesterase-1 (PDE1). Starting from a PDE1 inhibitor (compound 9, IC₅₀ = 16.8 μmol/L), the CS-FEP guided hit-to-lead optimizations resulted in a promising lead (11b and its mesylate salt formulation 11b-Mesylate, IC₅₀ = 7.0 nmol/L), with ∼2400-fold improved inhibitory activity. Further experimental studies revealed that the lead showed reasonable metabolic stability and significant anti-fibrotic effects in vivo.