OBJECTIVE To clarify the roles and functions of full-time pharmacists in the management of early-phase clinical trials of antineoplastic drugs， and to provide theoretical and practical support for their transformation from traditional drug managers to multi-dimensional roles in clinical research. METHODS Combined with relevant regulations such as the Good Clinical Practice （GCP） （2020 Edition）， and based on the clinical practice experience of the Phase Ⅰ Clinical Ward in our hospital， this study systematically sorted out full-time pharmacists’ roles and functions in early-phase clinical trials of antineoplastic drugs， and explored the core challenges and optimization pathways for role transformation and capacity-building of domestic full-time clinical trial pharmacists. RESULTS & CONCLUSIONS Full-time pharmacists assumed multiple roles in early-phase clinical trials of antineoplastic drugs， including providing pharmaceutical support for protocol design， implementing whole-process standardized management of clinical trial drugs， ensuring medication safety for clinical trial subjects/participants， conducting quality control throughout the clinical trial process， and serving as a bridge for interdisciplinary collaboration and communication. Currently， there are challenges in this field in China， such as unclear roles， an imperfect capacity building system， and insufficient regulatory support. This paper proposes that by establishing a standardized role framework， clarifying the core responsibilities and authorities of full-time pharmacists， and leveraging cutting-edge technologies to provide comprehensive support for their roles， so as to fully harness their pharmaceutical expertise and contribute to the standardization and efficiency of the antineoplastic new drug development process.

Due to the moist environment in the mouth, there are many challenges that arise, such as difficult biofilm removal, short drug retention time, and low tissue repair efficiency, while treating dental caries, periodontal disease, and other oral diseases. As a biomimetic biomaterial, polydopamine (PDA) possesses multifunctional properties, including mussel-inspired adhesion and stimuli-responsive drug release. PDA adhesion properties originate from its surface catechol and amino functional groups, which maintain strong wettability in aqueous environments. With smart responsiveness encompassing photothermal, pH, and enzymatic stimuli, PDA enables controlled drug release under specific conditions. Additionally, PDA exhibits antibacterial, anti-inflammatory, and osteoblast-promoting functions, thus demonstrating significant application potential in the treatment of oral diseases. In hard tissue therapies, specifically for dental caries, PDA promotes enamel remineralization by inducing hydroxyapatite crystal growth and enhances dentin collagen mineralization through Ca2+ chelation while inhibiting cariogenic bacteria. In mandibular defect repair, functionalized PDA coatings on bone implants facilitate mesenchymal stem cell adhesion and differentiation, activate osteogenic signaling pathways, and synergistically promote vascularization to improve bone-implant integration. For soft tissue treatments, specifically for periodontitis, PDA alleviates alveolar bone resorption via antibacterial and anti-inflammatory effects coupled with osteoclast inhibition. In denture stomatitis management, PDA’s strong wet adhesion prolongs drug retention, while its photothermal effect and reactive oxygen generation provide both broad-spectrum antibacterial activity and wound healing promotion. This review summarizes PDA’s synthesis mechanisms and biological functions, with an emphasis on its therapeutic applications in oral diseases, providing innovative strategies for oral healthcare.

To investigate the risk factors for acute kidney injury (AKI) following the use of amphotericin B deoxycholate and to develop a predictive model to guide clinical monitoring and intervention.

BACKGROUND:Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine.Its onset age covers the entire life cycle,becoming an important health issue that threatens people's health.Artificial intelligence continues to advance with the development of computer science.At present,artificial intelligence has great potential for application in medical diagnosis and treatment,and is gradually being applied in screening and diagnosis of scoliosis.OBJECTIVE:To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis,elaborate on the progress of its application in recent years from multiple aspects,and look forward to its innovative points,providing reference for the future trend of intelligence.METHODS:Search covered databases such as PubMed,IEEE Xplore,CNKI,and WanFang,using Chinese and English search terms such as"scoliosis,artificial intelligence,machine learning,screen,diagnosis."Boolean logic was used to optimize the search strategy.Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included,and articles with weak correlation,outdated experimental design,or poor credibility were excluded.Finally,83 articles were included for analysis.RESULTS AND CONCLUSION:(1)Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis,chest X-ray screening,smartphone screening,X-ray diagnosis,CT and MRI diagnosis,and reconstruction of three-dimensional spinal images.(2)The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency,reduced misdiagnosis rates,and alleviated the burden on medical staff,facilitating early detection and diagnosis of scoliosis and safeguarding spinal health.

BACKGROUND:The inflammatory response of microglia is closely related to neuronal survival,regeneration,and functional recovery after spinal cord injury.Peroxiredoxin 1 is not only involved in the regulation of oxidative stress,but also has an important effect on cell proliferation,apoptosis,and inflammatory response.OBJECTIVE:To investigate the role and mechanism of peroxiredoxin 1 in the inflammatory response of microglia following spinal cord injury.METHODS:(1)Twelve female C57BL/6 mice were randomly divided into sham-operated(n=6)and spinal cord injury(n=6)groups.The sham-operated group was not modeled and acute spinal cord injury models were constructed in the spinal cord injury group using the modified Allen's method.Spinal cord tissue at the injured site was taken at 7 days after modeling and transcriptome sequencing was performed to identify differentially expressed genes.The expression of peroxiredoxin 1 in spinal cord tissues was verified using western blot and RT-qPCR.(2)Mouse microglia BV2 were divided into two groups:the control group was stimulated with lipopolysaccharide for 6 hours,and in the knockout group,lipopolysaccharide stimulation was applied for 6 hours at 24 hours after peroxiredoxin 1 was knocked down in the cells.RT-qPCR was performed to detect mRNA expression of peroxiredoxin 1,inflammatory factors(interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2),and western blot was performed to detect the expression of peroxiredoxin 1,inducible nitric oxide synthase,and reactive oxygen/mitogen-activated protein kinase signaling pathway proteins.Mouse microglia BV2 were treated in two groups:the control group was stimulated by hydrogen peroxide for 4 hours,and the knockout group was stimulated by hydrogen peroxide for 4 hours at 24 hours after knockdown of peroxiredoxin 1.The level of reactive oxygen species was detected by 2,7-dichlorodihydrofluorescein diacetate probe.RESULTS AND CONCLUSION:(1)Results from transcriptome sequencing,western blot and RT-qPCR confirmed that peroxiredoxin 1 expression levels in mouse spinal cord tissues were significantly higher in the spinal cord injury group than the sham-operated group(P＜0.05).(2)Peroxiredoxin 1 knockdown in microglial cells led to decreased expression of peroxiredoxin 1 mRNA and protein(P＜0.05),increased mRNA expression of interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2(P＜0.05),increased protein expression of inducible nitric oxide synthase,P-P38,P-JNK and P-ERK proteins(P＜0.05),and increased level of reactive oxygen species(P＜0.05).To conclude,peroxiredoxin 1 regulates microglial inflammation by targeting the reactive oxygen species/mitogen-activated protein kinase signaling pathway.

BACKGROUND:Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine.Its onset age covers the entire life cycle,becoming an important health issue that threatens people's health.Artificial intelligence continues to advance with the development of computer science.At present,artificial intelligence has great potential for application in medical diagnosis and treatment,and is gradually being applied in screening and diagnosis of scoliosis.OBJECTIVE:To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis,elaborate on the progress of its application in recent years from multiple aspects,and look forward to its innovative points,providing reference for the future trend of intelligence.METHODS:Search covered databases such as PubMed,IEEE Xplore,CNKI,and WanFang,using Chinese and English search terms such as"scoliosis,artificial intelligence,machine learning,screen,diagnosis."Boolean logic was used to optimize the search strategy.Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included,and articles with weak correlation,outdated experimental design,or poor credibility were excluded.Finally,83 articles were included for analysis.RESULTS AND CONCLUSION:(1)Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis,chest X-ray screening,smartphone screening,X-ray diagnosis,CT and MRI diagnosis,and reconstruction of three-dimensional spinal images.(2)The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency,reduced misdiagnosis rates,and alleviated the burden on medical staff,facilitating early detection and diagnosis of scoliosis and safeguarding spinal health.

BACKGROUND:The inflammatory response of microglia is closely related to neuronal survival,regeneration,and functional recovery after spinal cord injury.Peroxiredoxin 1 is not only involved in the regulation of oxidative stress,but also has an important effect on cell proliferation,apoptosis,and inflammatory response.OBJECTIVE:To investigate the role and mechanism of peroxiredoxin 1 in the inflammatory response of microglia following spinal cord injury.METHODS:(1)Twelve female C57BL/6 mice were randomly divided into sham-operated(n=6)and spinal cord injury(n=6)groups.The sham-operated group was not modeled and acute spinal cord injury models were constructed in the spinal cord injury group using the modified Allen's method.Spinal cord tissue at the injured site was taken at 7 days after modeling and transcriptome sequencing was performed to identify differentially expressed genes.The expression of peroxiredoxin 1 in spinal cord tissues was verified using western blot and RT-qPCR.(2)Mouse microglia BV2 were divided into two groups:the control group was stimulated with lipopolysaccharide for 6 hours,and in the knockout group,lipopolysaccharide stimulation was applied for 6 hours at 24 hours after peroxiredoxin 1 was knocked down in the cells.RT-qPCR was performed to detect mRNA expression of peroxiredoxin 1,inflammatory factors(interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2),and western blot was performed to detect the expression of peroxiredoxin 1,inducible nitric oxide synthase,and reactive oxygen/mitogen-activated protein kinase signaling pathway proteins.Mouse microglia BV2 were treated in two groups:the control group was stimulated by hydrogen peroxide for 4 hours,and the knockout group was stimulated by hydrogen peroxide for 4 hours at 24 hours after knockdown of peroxiredoxin 1.The level of reactive oxygen species was detected by 2,7-dichlorodihydrofluorescein diacetate probe.RESULTS AND CONCLUSION:(1)Results from transcriptome sequencing,western blot and RT-qPCR confirmed that peroxiredoxin 1 expression levels in mouse spinal cord tissues were significantly higher in the spinal cord injury group than the sham-operated group(P＜0.05).(2)Peroxiredoxin 1 knockdown in microglial cells led to decreased expression of peroxiredoxin 1 mRNA and protein(P＜0.05),increased mRNA expression of interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2(P＜0.05),increased protein expression of inducible nitric oxide synthase,P-P38,P-JNK and P-ERK proteins(P＜0.05),and increased level of reactive oxygen species(P＜0.05).To conclude,peroxiredoxin 1 regulates microglial inflammation by targeting the reactive oxygen species/mitogen-activated protein kinase signaling pathway.

ObjectiveTo investigate the role and mechanism of ribosomal DNA （rDNA） transcription and ribosome biogenesis in muscle atrophy induced by acute kidney injury （AKI）. MethodsEight male C57BL/6 mice were randomly divided into a control group （Ctrl） and a model group （AKI）. An AKI model was established via intraperitoneal injection of cisplatin. Muscle atrophy was phenotypically assessed by measuring muscle mass， myofiber cross-sectional area （HE staining）， and mRNA expression levels of atrophy-related genes （Murf-1， Atrogin-1， Igf-1） using qRT-PCR. In vivo protein synthesis rates were determined via the SUnSET assay （puromycin incorporation）. Ribosome biogenesis was evaluated by assessing rRNA content and 47S pre-rRNA expression levels. Myotubes differentiated from mouse skeletal muscle cell lines （C2C12 myotubes） were treated with serum from AKI mice， and the effects on rDNA transcription， ribosome biogenesis， and protein metabolism were analyzed using chromatin immunoprecipitation followed by quantitative polymerase chain reaction （ChIP-qPCR） and Western blot. ResultsAKI successfully induced muscle atrophy， as evidenced by a significant reduction in skeletal muscle mass. The most pronounced decrease occurred in the extensor digitorum longus muscle （21.0%， P 0.01）， along with a trend toward reduced myofiber cross-sectional area. At the molecular level， AKI inhibited muscle protein synthesis （83.14% reduction in puromycin incorporation， P 0.000 1） and impaired ribosome biogenesis， manifested by suppressed rDNA transcription elongation （52.62% decrease in 47S pre-rRNA ITS-1 levels， P 0.01） and reduced total rRNA content （65.29%， P 0.000 1）. In contrast， serum from AKI mice promoted rDNA transcription initiation and protein synthesis in C2C12 myotubes in vitro. ConclusionAKI induces muscle atrophy by suppressing rDNA transcription and ribosome biogenesis in skeletal muscle， leading to impaired protein synthesis. Dysregulated ribosome biogenesis may play a critical role in AKI-induced muscle atrophy.

Background Microparticles (MPs) are one of the main medium of inflammatory reaction with an important role in atherosclerotic progression. Studies on association of air pollution exposure and levels of peripheral blood MPs are limited among human. Objective To evaluate the effects of short-term exposure to air pollution on levels of peripheral blood MPs. Method A panel of 73 healthy adults was followed with 4 repeated follow-ups in Beijing, China, from November 2014 to January 2016. During each visit, we collected questionnaire information, fasting venous blood, urine, and exposures to fine particulate matter (PM_2.5), black carbon, nitric oxide, nitrogen dioxide, nitrogen oxide, sulfur dioxide, carbon monoxide, and ozone. We used linear mixed-effect models to analyze associations of air pollution exposure with levels of total MPs (TMPs) and MPs derived from various cells. Stratified analysis was conducted by levels of C-reactive protein (CRP) and malondialdehyde (MDA). Results The results showed significant associations between air pollution exposure and peripheral blood TMPs at 2 h-6 d prior to the follow-ups (P<0.05), while no statistical associations were found for MPs derived from different cell types. Significant increases in TMPs of 7.8% (95%CI: 0.7%, 15.3%) and 14.3% (95%CI: 2.8%, 27.2%) were observed with each interquartile range (IQR) increase in PM_2.5 (IQR=64.9 μg·m⁻³) at prior 18 h and NO (IQR=40.5 μg·m⁻³) at prior 48 h. Among participants with low levels of CRP and MDA, significantly positive associations were observed between air pollution exposure and levels of TMPs (P<0.05). Conclusion Short-term exposure to air pollution is significantly associated with increased levels of circulating MPs in healthy adults, and in people with lower systemic inflammation, peripheral blood MPs levels are more easily affected after exposure to air pollutants.

Metal-organic frameworks(MOFs)are porous materials composed of metal ions or metal clusters and organic ligands by coordination,which have the advantages of large specific surface area,good thermal stability and adjustable pore size,and have a promising application in gas chromatographic separation.In recent years,MOFs materials have been used as stationary phases for gas chromatography mainly including ZIF,MIL,UiO-66,HKUST-1,IRMOFs,etc.Based on the molecular sieve effect,van der Waals forces,hydrogen bonding and π-π interactions,the pore size,pore microenvironment,unsaturated metal site and special functional group of the MOFs stationary phase materials can be specifically designed and regulated.MOFs materials as stationary phases have unique separation performance for n-alkanes and their isomers,aromatic compounds and their isomers,alcohols/ketones/aldehydes and their isomers,and chiral compounds.The combination of organic polymers and novel nanomaterials with MOFs materials can improve the separation performance and stability of MOFs.Therefore,MOFs materials are expected to be the promising stationary phase that can be applied to gas separation in complex environments.In this article,the research advances of various stationary phases based on MOFs for gas chromatography in recent years were reviewed.The separation performance and separation mechanism of MOFs stationary phases for mixed gas samples were discussed,and the development trends in the future were prospected.