Acute kidney injury (AKI) is a prevalent and life-threatening clinical syndrome characterised by a rapid decline in renal function and diverse pathological etiologies. The condition has been demonstrated to be associated with elevated mortality rates and an increased risk of progression to chronic kidney disease. At present, clinicians depend heavily on conventional functional markers, such as serum creatinine and urine output, for the diagnosis and staging of the disease. It is evident that these conventional indicators characteristically manifest a considerable temporal delay and only undergo modification subsequent to considerable tissue damage. This severely restricts the timeframe for early detection and timely therapeutic intervention. Furthermore, standard markers fail to provide specific biological information regarding the underlying cellular injury mechanisms. The utilisation of advanced probe technologies in molecular imaging offers a robust alternative to overcome these inherent diagnostic limitations.This comprehensive review systematically evaluates recent progress in the design and application of two primary categories of molecular imaging tools for acute kidney disease, specifically reactive probes and enzyme-activated probes. Reactive probes are engineered to specifically interact with redox-active chemical species, including hydrogen peroxide, peroxynitrite, hypochlorous acid, and sulfur dioxide. Because oxidative stress constitutes a primary early event in acute renal tubular damage, these probes enable researchers and clinicians to visualize early cellular injury and radical accumulation well before global renal functional decline becomes evident. We discuss the application of these reactive probes across multiple imaging modalities including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and photoacoustic techniques. Photoacoustic imaging combines high spatial resolution with deep tissue penetration and has successfully demonstrated the ability to provide diagnostic alerts up to 12 h before any detectable rise in serum creatinine levels. Additionally, specific reactive probes have shown promising translational potential when tested by high-throughput screening in clinical human urine samples. Enzyme-activated probes target the specific catalytic activity of disease-relevant enzymes. These include well-documented renal tubular structural biomarkers such as NAG, GGT, and ALP, along with apoptosis-related caspases and specific nitroreductases. By responding only to enzymatic cleavage, these tools provide highly specific and pathology-directed imaging readouts. Recent structural design strategies in this field have advanced significantly beyond single-enzyme detection. Researchers are now focusing on sophisticated dual-target recognition to minimize background noise, multimodal integration to cross-validate imaging signals, and theranostic applications where probes simultaneously deliver diagnostic feedback and therapeutic agents to injured tissues. Nanotechnology serves as a fundamental enabler for realizing these advanced probe functions. By precisely optimizing nanoparticle parameters such as hydrodynamic size, surface charge, and targeting ligands, researchers can achieve amplified signal output, highly precise kidney delivery, and protection against premature degradation in the systemic circulation. For example, modifying surface charges can significantly enhance the active uptake of nanoprobes by damaged renal tubular epithelial cells.While preclinical probe development has progressed rapidly, moving these technologies into routine clinical practice remains a major challenge. We analyze the translational feasibility and current obstacles from biological, technological, and regulatory perspectives. Although biological targets such as KIM-1, FAP, and ALP have been validated in extensive patient cohorts, practical barriers severely limit their immediate clinical application. These obstacles involve complex changes in in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.

Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

Idiopathic pulmonary fibrosis(IPF)and lung cancer(LC)pose a serious threat to human health,the prognosis of IPF is poor,the 5-year survival rate is low,and the incidence rate and mortality of LC are high.At present,IPF combined with LC(IPF-LC)has attracted much attention,but the pathogenesis is unclear.Epidemiology shows that,the risk of LC in IPF patients is 7 times than that of the general population,the incidence rate varies in different regions,which is related to smoking rate and diagnostic criteria.In terms of pathogenesis,chronic inflammation,angiogenesis,signaling pathways,aging,gene mutations,epithelial mesenchymal transition(EMT),and immune dysfunction are common pathogenic factors of both,and pathological changes such as smoking and pulmonary fibrosis increase the risk of LC.Thoroughly studying these mechanisms is of great significance for the early diagnosis,treatment strategy formulation,and improvement of patient prognosis of IPF-LC.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Objective: To investigate the changing trends for associations of anxiety and depressive symptoms with smartphone addiction among middle school students, so as to provide a scientific basis for preventing smartphone addiction in middle school students. Methods: From 2022 to 2023, a method of combining convenient sampling with cluster sampling was used to select 8 923 middle school students from 27 junior high schools and 3 senior high schools in a district of Shenzhen City between September 2022 (baseline, T1) and September 2023 (follow up, T2). The Smartphone Addiction Scale-Short Version (SAS-SV), Patients Health Questionnaire-9 Item (PHQ-9), and Generalized Anxiety Disorder 7-item Scale (GAD-7) were administered to assess smartphone addiction, anxiety and depressive symptoms. Mixed effects models were used to analyze the association of anxiety and depressive symptoms with smartphone addiction among middle school students. Results: From September 2022 to September 2023, the reported prevalence of smartphone addiction increased from 24.22% to 25.25% ( χ 2=45.71); and smartphone addiction scores [ 24.00 (16.00, 32.00),25.00(16.00, 33.00)], anxiety symptom scores [2.00(0.00, 7.00),3.00(0.00, 7.00)] and depressive symptom scores[3.00(0.00, 8.00),5.00(0.00, 9.00)] all significantly increased ( Z =-17.43, -42.38, -41.57) (all P <0.05). There were statistically significant difference in the distribution of anxiety and depression symptom levels among middle school students in 2022 and 2023 ( χ 2=85.15, 106.85, both P <0.05). After adjusting for covariates such as age, gender and family background, mixed effects models revealed dose response associations of anxiety and depressive symptoms with smartphone addiction among middle school students:mild anxiety symptom( OR =3.22), moderate to severe anxiety symptom ( OR =5.36), mild depressive symptom ( OR =3.32) and moderate to severe depressive symptom ( OR =6.13) were significantly associated with higher risks of smartphone addiction (all P <0.05). Interaction effect analysis found that co existing anxiety and depressive symptoms synergistically increased addiction risk by 5.60 times ( OR =5.60) compared to the asymptomatic group, with 32% of the combined risk attributable to their interaction ( S=1.64, AP =0.32)(both P < 0.05 ). Conclusions Anxiety and depressive symptoms are significantly associated with smartphone addiction, exhibiting a synergistic effect. Attention should be paid to emotional issues and smartphone addiction among middle school students.

Objective To explore the application effect of carbon dioxide ablative fractional la-ser(CO2-AFL)in photodynamic therapy(PDT)for condylomata acuminata(CA).Methods A to-tal of 80 patients with CA from January 2022 to December 2023 were randomly divided into two groups,with 40 cases in each group.Control group was treated with PDT mediated by 5-aminolevulin-ic acid(5-ALA)as a photosensitizer(5-ALA-PDT),while study group was treated with CO2-AFL combined with 5-ALA-PDT.Both groups were treated for 4 weeks.Clinical efficacy,recurrence,and adverse reactions were compared between the two groups;additionally,serum inflammatory factors,immune function related indicators,local human papillomavirus(HPV)load,and the Dermatology Life Quality Index(DLQI)scores before treatment and 4 weeks after treatment were compared be-tween the two groups.Results The total effective rate was 97.50％ in the study group,which was significantly higher than the 80.00％ in the control group(P＜0.05).Four weeks after treatment,the levels of interleukin-2(IL-2)and tumor necrosis factor-α(TNF-α)decreased significantly in both groups when compared with before treatment,while the levels of interferon-γ(IFN-γ),interleukin-4(IL-4),interleukin-10(IL-10),and the ratio of T helper 1 to T helper 2 cells(Th1/Th2)increased significantly when compared with before treatment(P＜0.05);moreover,the levels of IL-2 and TNF-α in the study group were significantly lower than those in the control group,while the levels of IFN-γ,IL-4,IL-10,and Th1/Th2 in the study group were significantly higher than thosein the control group(P＜0.05).Four weeks after treatment,CD8+level significantly decreased in both groups when compared with before treatment,while CD3+,CD4+,and CD4+/CD8+levels increased sig-nificantly when compared with before treatment(P＜0.05);additionally,the levels of CD3+,CD4+and CD4+/CD8+in the study group were significantly higher than those in the control group,while CD8+level was significantly lower in the study group(P＜0.05).Four weeks after treat-ment,the local HPV load and DLQI score significantly decreased in both groups when compared with those before treatment,and these indexes in the study group were significantly lower than those in the control group(P＜0.05).The incidence of adverse reactions was 10.00％ in the study group,which showed no significant difference when compared to 5.00％ in the control group(P＞0.05).The recurrence rate within 6 months was 5.00％ in the study group,which was significantly lower than the 22.50％ in the control group(P＜0.05).Conclusion Application of CO2-AFL in 5-ALA-PDT for CA is effective,which helps to eliminate latent HPV viruses,improve serum levels of inflammatory factors,promote the recovery of immune function,and improve the quality of life of CA patients,with a low recurrence rate.

Objective To investigate the effects of different anesthesia depths on stress states and inflammatory mediators in patients undergoing video-assisted thoracoscopic lobectomy.Methods A total of 89 lung cancer patients who underwent video-assisted thoracoscopic lobectomy were selected as study subjects.Based on intraoperative bispectral index(BIS)range,the patients were divided into deep anesthesia group(BIS of 40 to＜50,n=45)and shallow anesthesia group(BIS of 50 to＜60,n=44).Vital signs(mean arterial pressure,heart rate and blood oxygen saturation),anesthesia re-covery time,extubation time,dosage of vasoactive drugs,postoperative pain intensity[Visual Ana-logue Scale(VAS)],postoperative analgesic dosage,perioperative stress state[prostaglandin E2(PGE2),nerve growth factor(NGF)and substance P(SP)],levels of inflammatory mediators[neuron-specific enolase(NSE),tumor necrosis factor-α(TNF-α)and S100β protein]at different time points(before anesthesia induction,immediately after intubation,before lesion resection and at the end of surgery)and the incidence of anesthesia-related adverse reactions were compared between the two groups.Results Before lesion resection and at the end of surgery,the mean arterial pressure and heart rate in the deep anesthesia group were significantly lower than those in the shallow anesthe-sia group(P＜0.05).The anesthesia recovery time and extubation time in the deep anesthesia group were significantly longer than those in the shallow anesthesia group(P＜0.05).At the end of surgery and on postoperative day one,the levels of PGE2,NGF and SP in the deep anesthesia group were significantly lower than those in the shallow anesthesia group,while the levels f NSE,TNF-α and S100β protein were significantly higher than those in the shallow anesthesia group(P＜0.05).There were no significant differences in the dosage of vasoactive drugs,VAS scores,sufentanil dos-age and the incidence of anesthesia-related adverse reactions between thetwo groups(P＞0.05).Conclusion During one-lung ventilation in patients undergoing video-assisted thoracoscopic surgery lobectomy,deep anesthesia can effectively control surgical stress and maintain stability of intraopera-tive hemodynamics,but it is associated with delayed postoperative awakening and more pronounced inflammatory response.Shallow anesthesia results in faster postoperative awakening and lower levels of inflammatory mediators,but it is associated with more significant intraoperative stress response and unstable hemodynamics.

Objective To construct a database for molecular mass spectra of toxins and drugs in order to facilitate the management and retrieval of mass spectra for nerve agents,metabolites and other small molecules.Methods Requirement analysis and functional design were performed using software engineering methods.The Spec2Vec algorithm was used for vector representation of mass spectra,while SMILES molecular structures were vectorized using the extended connectivity fingerprint(ECFP).A data storage model integrating structured information and vector representations was established using the Milvus database.Similarity search of mass spectra and molecular structures was conducted via vector similarity comparison and the FlashEntropySearch algorithm.Results The constructed database of mass spectra encompassed over 400,000 entries from such sources as OCAD,NIST,MASSBANK,metabolic products,and natural products of TCM,which was capable of searching for similarities in mass spectra and molecular structures.On a standard server,similarity search of mass spectra took no more than 5 seconds,while that of molecular structures took no more than 1 second.Conclusion The system enables efficient management of complex mass spectra and provides rapid retrieval and comparison of mass spectra-related information through advanced vector indexing technology,offering robust data support and research tools for toxicology and pharmacology.