Research has confirmed that compared to traditional room temperature-stored platelets [RTP, (22±2) ℃], cold-stored platelets (CSP, 1-6℃) extend the stored time by inhibiting bacterial proliferation, representing an important strategy to break through the bottleneck of platelet storage. However, the low temperature environment induces significant changes in platelet morphology, metabolism and function. The morphological changes and surface marker changes together lead to functional impairment, which in turn affect its hemostatic efficacy. In recent years, research on metabolomics, apoptosis mechanisms, and innovative preservation strategies and technologies has provided new perspectives for intensive analysis of the damage mechanisms of CSP. This review summarizes the changes in CSP performance, active components, and damage mechanisms, explores the research progress in preservation solutions and methods, and combines them with the current clinical application status. The aim is to provide a theoretical basis for intensive analysis of CSP performance changes and optimization of platelet storage strategies, and promote the application of CSP based on its functional characteristics in emergency treatment of active bleeding patients in China.

Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.

Accurate prediction of drug-induced adverse drug reactions (ADRs) is crucial for drug safety evaluation, as it directly impacts public health and safety. While various models have shown promising results in predicting ADRs, their accuracy still needs improvement. Additionally, many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints, which can introduce bias. To address these challenges, we propose ToxBERT, an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system (SMILES) representations. Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve (AUROC) scores of 0.839, 0.759, and 0.664 for predicting drug-induced QT prolongation (DIQT), rhabdomyolysis, and liver injury, respectively, outperforming previous studies. Furthermore, ToxBERT can identify drug substructures that are closely associated with specific ADRs. These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.

The prevalence and abuse of new psychoactive substances are becoming more and more serious. The structural characteristics and pharmacological and toxicological effects of new psychoactive substances of fentanyl compounds were summarized, which focused on the pre-treatment and analysis methods of fentanyl substances in different scenes such as biological samples, drugs or illegal drugs, and environmental samples. The difficulties of current laboratory detection and field rapid detection were also summarized, and the development trend and application prospect of various technologies were prospected.

[Objective] To explore the key factors affecting the efficiency and safety of hematopoietic stem cell apheresis. [Methods] The clinical data of 59 healthy donors who underwent allogeneic hematopoietic stem cell donation in the First Affiliated Hospital of Anhui Medical University from January 2021 to June 2024 were retrospectively analyzed. The number of CD34⁺ cells was used to evaluate the eligibility of stem cell collection. The effects of donor gender, age, patient weight, as well as the number of WBC, MNC, RBC, Hb, HCT, PLT, CD34⁺ cells, CD34⁺ percentage and instrument operating parameters on collection efficiency were analyzed. [Results] A total of 59 donors were enrolled, and 68 occasions of stem cell apheresis were performed, with a qualified collection rate of 56%. Donor gender, age, patient weight, total blood circulation volume, anticoagulant dosage, collection time, calcium gluconate dosage and RBC, Hb, HCT levels were not significantly correlated with the collection effect (P>0.05). Multivariate logistic regression analysis showed that the number of MNC cells, CD34⁺ cells and stem cell product volume were the key factors affecting the efficiency and safety. A total of 12 donors had mild adverse reactions during the collection process, and all of them were improved after treatment. [Conclusion] Optimizing apheresis strategy based on the three factors of MNC, WBC count and stem cell product volume on the day of collection will help to achieve high-quality collection and improve the success rate of transplantation.

Accurate prediction of drug-induced adverse drug reactions(ADRs)is crucial for drug safety evaluation,as it directly impacts public health and safety.While various models have shown promising results in predicting ADRs,their accuracy still needs improvement.Additionally,many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints,which can introduce bias.To address these challenges,we propose ToxBERT,an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system(SMILES)representations.Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve(AUROC)scores of 0.839,0.759,and 0.664 for predicting drug-induced QT prolongation(DIQT),rhabdomyolysis,and liver injury,respectively,outperforming previous studies.Furthermore,ToxBERT can identify drug substructures that are closely associated with specific ADRs.These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.

Objective To investigate the mechanism by which Huangqi Guizhi Wuwu decoction(HQGZWWD)regulates nerve injury(NI)through vascular endothelial growth factor(VEGF)pathway based on a combination of network pharmacology and molecular docking techniques.Methods Active ingredients and targets of HQGZWWD were identified through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform.A drug-ingredient-target network was constructed by integrated with data from OMIM,GeneCards,and CTD databases to identify VEGF/NI-related targets.Protein-protein interaction analyses were conducted by using STRING network platform,which were further analyzed by using the DAVID database for Gene Ontology/Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment.A"compound-target-pathway"network was constructed by using Cytoscape.Molecular docking was performed to validate the binding ability of core components with the targets.Results The primary constituents(quercetin,kaempferol)and principal targets[signal transducer and activator of transcription 3(STAT3),caspase 3,epidermal growth factor receptor(EGFR),etc.]of HQGZWWD were identified.KEGG analysis revealed that the targets were enriched cancer,EGFR inhibitor resistance,and advanced glycation end-products-receptor for advanced glycation end-products etc.signaling pathways.Molecular docking demonstrated binding energy between core components and STAT3,caspace 3,EGFR,etc.,specifically,the core components exhibited strong binding energy such as STAT3(≤-7.37kcal/mol).Conclusion HQGZWWD shows potency in suppressing inflammation,oxidative stress,and apoptosis,while promoting neural repair through VEGF regulation.The integration of network pharmacology and molecular docking offers a foundational framework for mechanistic investigations.

ObjectiveTo observe the clinical efficacy and safety of Tangning Tongluo tablets in the treatment of nonproliferative diabetic retinopathy （DR）. MethodsFourteen research centers participated in this study， which spanned a time interval from September 2021 to May 2023. A total of 240 patients with nonproliferative DR were included and randomly assigned into an observation group （120 cases） and a control group （120 cases）. The observation group was treated with Tangning Tongluo tablets， and the control group with calcium dobesilate capsules. Both groups were treated for 24 consecutive weeks. The vision， DR progression rate， retinal microhemangioma， hemorrhage area， exudation area， glycosylated hemoglobin （HbA1c） level， and TCM syndrome score were assessed before and after treatment， and the safety was observed. ResultsThe vision changed in both groups after treatment （P<0.05）， and the observation group showed higher best corrected visual acuity （BCVA） than the control group （P<0.05）. The DR progression was slow with similar rates in the two groups. The fundus hemorrhage area and exudation area did not change significantly after treatment in both groups， while the observation group outperformed the control group in reducing the fundus hemorrhage area and exudation area. There was no significant difference in the number of microhemangiomas between the two groups before treatment. After treatment， the number of microhemangiomas decreased in both the observation group （Z=-1.437， P<0.05） and the control group （Z=-2.238， P<0.05）， and it showed no significant difference between the two groups. As the treatment time prolonged， the number of microhemangiomas gradually decreased in both groups. There was no significant difference in the HbA1c level between the two groups before treatment. After treatment， the decline in the HbA1c level showed no significant difference between the two groups. The TCM syndrome score did not have a statistically significant difference between the two groups before treatment. After treatment， neither the TCM syndrome score nor the response rate had significant difference between the two groups. With the extension of the treatment time， both groups showed amelioration of TCM syndrome compared with the baseline. ConclusionTangning Tongluo tablets are safe and effective in the treatment of nonproliferative DR， being capable of improving vision and reducing hemorrhage and exudation in the fundus.

Objective To analyze the clinical efficacy of real-world bulleyaconitine A tablets combined with salt and pepper seven-seed hot package in the treatment of knee osteoarthritis(KOA).Methods 110 outpatient patients from the Department of Orthopedics,Shenzhen Traditional Chinese Medicine Hospital from December 2023 to August 2024 were selected,they were randomly divided into control group of 53 cases and treatment group of 57 cases.The patients in control group were treated with flurbiprofen gel paste,the patients in treatment group received oral administration of bulleyaconitine A tablets and external application of Jiaoyan Qizi hot package,the treatment course were all 4 weeks.All patients were followed up for 2 weeks after the end of treatment.Western Ontario and McMaster University osteoarthritis index(WOMAC)score,Lequesne score,12-item short form health survey(SF-12)score and clinical efficacy were compared between two groups,and adverse events were recorded.Results The total effective rate of treatment group was 87.7％,which was significantly higher than 71.7％of control group(P＜0.05);After treatment,WOMAC score,Lequesne score and SF-12 score in two groups were better than before treatment(P＜0.05).The improvement of WOMAC score,Lequesne score and SF-12 score in treatment group were more obvious(P＜0.05).Conclusion For KOA patients with cold and damp obstruction syndrome,the use of bulleyaconitine A tablets combined with Jiaoyan Qizi hot package can alleviate knee joint pain,improve knee joint mobility,and enhance patients'quality of life.

Rare diseases pose significant diagnostic and therapeutic challenges,carrying a high disease burden,their management critically reflects a nation's public health resilience.Currently,China faces key challenges such as scarce treatments,fragmented services,and low drug accessibility in rare disease care,which urgently require systemic solutions.Digital-intelligent technology as a key breakthrough are expected to resolve the challenges in this field.Although its application in the field of rare diseases is gradually expanding,there is a lack of systematic compilation of studies to elucidate how to precisely enhance the precision,synergy and sustainability of diagnosis and treatment.The key challenges in rare disease care concentrate in four areas:inefficiency in prenatal screening,uneven distribution of medical resources,low efficiency in social organization collaboration,and ineffective information dissemination.The"4C"strategy,based on digital-intelligent technology,can address these issues:①coordination,boost prenatal screening awareness and capacity via digital-intelligent platforms to strengthen prevention;②cooperation,deepen collaboration within specialist networks,empowering institutions to enhance diagnostic capacity;③co-creation,empower support organizations to optimize resources,efficiency;④cognition,minimize information dissipation through efficient platforms,improving patient and family quality of life.This establishes an integrated digital-intelligent rare disease model encompassing"screening-diagnosis-treatment-care".