Nuclear medicine plays a pivotal role in diagnosis and treatment of tumors.The development of radionuclide probes with high affinity and specificity is an effective approach to achieve precise diagnosis and treatment of tumors.With high binding affinity,rapid tissue penetration and excellent pharmacokinetic properties,bicyclic peptide-based radionuclide probes demonstrate remarkable advantages in diagnosis and targeted therapy of tumors.The structural characteristics and design strategies of bicyclic peptide-based radionuclide probes were reviewed in this article,mainly focused on research progresses in targeting tumor-associated receptors.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Objective To investigate the protective effect of Liraglutide in rats with diabetic kidney disease(DKD)by regulating the nuclear factor E2-related factor 2(Nrf2)/glutathione peroxidase 4(GPX4)ferroptosis signaling pathway.Methods Twelve male Sprague-Dawley(SD)rats were randomly divided into normal control(NC)group,DKD group,and Liraglutide treatment(Lir)group,with 4 rats in each group.The 24 hUAlb,TC,TG,LDL-C,serum creatinine(Scr),BUN,ferrous ion(Fe2+),the activity of glutathione peroxidase(GSH-Px),and malondialdehyde(MDA)were detected in each group.Hematoxylin and eosin(HE),periodic acid-Schiff(PAS),and periodic acid-silver methenamine-Masson(PASM-Masson)staining were used to observe the pathological changes of the kidneys.Immunofluorescence was performed to detect the localization and expression of reactive oxygen species(ROS)in the renal tissue.The protein expressions of Nrf2 and GPX4 were detected by Western blot.Results Compared with the NC group,the levels of 24 hUAlb,Scr,BUN,TC,TG,LDL-C,MDA,ROS,and Fe2+were increased(P＜0.05 or P＜0.01),while the expressions of GSH-Px,Nrf2,and GPX4 proteins were decreased in the DKD group(P＜0.01).Compared with the DKD group,the levels of 24 hUAlb,BUN,TC,TG,LDL-C,MDA,ROS,and Fe2+were decreased(P＜0.05 or P＜0.01),and the expressions of GSH-Px,Nrf2,and GPX4 proteins were increased in the Lir group(P＜0.01).Conclusions Liraglutide may exert a protective effect in DKD by upregulating the Nrf2/GPX4 signaling pathway and inhibiting ferroptosis.

Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer patients. Traditional radiological diagnostic faces challenges such as insufficient sensitivity. Through technologies like radiomics and deep learning, artificial intelligence can deeply analyze the tumor heterogeneity and microenvironment features in medical images, revealing markers of peritoneal metastasis and constructing high-precision predictive models. These technologies have demonstrated advantages in tasks such as predicting peritoneal metastasis, assessing the risk of peritoneal recurrence, and identifying small metastatic foci during surgery. This paper summarizes the representative progress and application prospects of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis, and discusses potential development directions such as multimodal data fusion and large model. The integration of medical imaging artificial intelligence with clinical practice is expected to advance personalized and precision medicine in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers.

Objective To investigate the protective effect of Liraglutide in rats with diabetic kidney disease(DKD)by regulating the nuclear factor E2-related factor 2(Nrf2)/glutathione peroxidase 4(GPX4)ferroptosis signaling pathway.Methods Twelve male Sprague-Dawley(SD)rats were randomly divided into normal control(NC)group,DKD group,and Liraglutide treatment(Lir)group,with 4 rats in each group.The 24 hUAlb,TC,TG,LDL-C,serum creatinine(Scr),BUN,ferrous ion(Fe2+),the activity of glutathione peroxidase(GSH-Px),and malondialdehyde(MDA)were detected in each group.Hematoxylin and eosin(HE),periodic acid-Schiff(PAS),and periodic acid-silver methenamine-Masson(PASM-Masson)staining were used to observe the pathological changes of the kidneys.Immunofluorescence was performed to detect the localization and expression of reactive oxygen species(ROS)in the renal tissue.The protein expressions of Nrf2 and GPX4 were detected by Western blot.Results Compared with the NC group,the levels of 24 hUAlb,Scr,BUN,TC,TG,LDL-C,MDA,ROS,and Fe2+were increased(P＜0.05 or P＜0.01),while the expressions of GSH-Px,Nrf2,and GPX4 proteins were decreased in the DKD group(P＜0.01).Compared with the DKD group,the levels of 24 hUAlb,BUN,TC,TG,LDL-C,MDA,ROS,and Fe2+were decreased(P＜0.05 or P＜0.01),and the expressions of GSH-Px,Nrf2,and GPX4 proteins were increased in the Lir group(P＜0.01).Conclusions Liraglutide may exert a protective effect in DKD by upregulating the Nrf2/GPX4 signaling pathway and inhibiting ferroptosis.

Enteric human adenovirus(HAdV),a common cause of acute viral gastroenteritis in children,frequently triggers spo-radic infections,nosocomial transmissions,and outbreaks in kindergarten settings.This study was aimed at investigating the molecular characteristics and genetic evolution of enteric HAdV among patients with acute gastroenteritis younger than 5 years in China,to pro-vide foundational data for disease prevention and control.A total of 8 074 stool samples were collected from hospitalized or outpatient children younger than 5 years with acute gastroenteritis in China during 2023.HAdV screening was conducted with real-time fluores-cence PCR.Positive samples were sequenced,then subjected to bioinformatics analysis including genotyping,homology assessment,and phylogenetic analysis with GenBank,BioAider,and MEGA11.0.A total of 370 samples(4.58%)tested positive for HAdV.Two enteric HAdV genotypes were identified:HAdV-F41(which predominated,at 98.09%)and HAdV-F40(1.90%).HAdV-F41 was the dominant genotype among patients with acute gastroenteritis younger than 5 years in China.Bioinformatics analysis indicated that the predominant HAdV lineages in China were lineage 1 and 2,whereas European lineage 3 showed no influence.Systematic and long-term surveillance of HAdV should help elucidate its diversity and evolutionary patterns in China,thereby providing scientific evi-dence for developing more effective prevention strategies.

This study investigated the full-genome molecular characteristics of a rotavirus vaccine-derived strain,G1P[8]geno-type A group rotavirus RVA/Human-wt/CHN/HN1140/2021/G1P[8](referred to as HN1140).The gene fragments of the HN1140 strain were amplified with reverse transcription-polymerase chain reaction(RT-PCR)combined with whole-genome primers to obtain the full genome sequence.Genotyping was performed with the online genotyping tool RotaC 2.0,and similarity and genetic evolution analyses for each gene segment were conducted in DNAstar5.1 and MEGA11.0 software.The genotype of the HN1140 strain was deter-mined to be G1-P[8]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis demonstrated that all 11 genomic segments clus-tered closely with the RotaTeq vaccine strains,sharing 99.7%-100%nucleotide sequence similarity.Notably,VP1,VP2,VP6,and NSP2-NSP5 segments showed 100%nucleotide identity with RotaTeq strains.Comparative genomic analysis identified 13 nucleotide and 8 amino acid substitutions between HN1140 and RotaTeq strains,localized within the VP7,VP4,VP1,VP2,VP3,and NSP1 segments.The HN1140 strain exhibited the genotype G1-P[8]-A3-T6-H3,which was consistent with the typical profile of a vaccine-derived reassortant.This strain demonstrated high genetic similarity to RotaTeq vaccine strains,with nucleotide sequence identity ranging from 99.7%to 100%.These findings suggested that HN1140 evolved from RotaTeq vaccine strains through genetic reassortment.

Objective:To explore the impulsivity characteristics of patients with attention deficit hyperactivity disorder(ADHD)comorbid with borderline personality disorder(BPD)and the mediating role of emotion regula-tion strategies.Methods:A total of 96 patients with ADHD meeting the diagnostic criteria of the American Diagnos-tic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)were enrolled,48 of whom had comorbid BPD.Impulsivity was assessed with the Barratt Impulse Scale(BIS)and the impulse control difficulty dimensions of Emotional Regulation Difficulty Scale(DERS).Emotion regulation strategies were evaluated with the Emotion Regulation Questionnaire(ERQ).Results:No significant differences were found between the ADHD with and with-out BPD group in cognitive impulsivity,motor impulsivity,or non-planning impulsivity as assessed with the BIS(Ps＞0.05).However,the ADHD with BPD group showed higher scores on the DERS impulse control difficulty subscale(P＜0.001)and less frequent use of cognitive reappraisal strategies(P＜0.001).Cognitive reappraisal partially mediated the relationship between ADHD with BPD and impulse control difficulties,with an effect size of 25.9％.Conclusion:ADHD patients comorbid with BPD exhibit heightened emotional impulsivity,which might be partially mediated by reduced use of cognitive reappraisal.

Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer patients. Traditional radiological diagnostic faces challenges such as insufficient sensitivity. Through technologies like radiomics and deep learning, artificial intelligence can deeply analyze the tumor heterogeneity and microenvironment features in medical images, revealing markers of peritoneal metastasis and constructing high-precision predictive models. These technologies have demonstrated advantages in tasks such as predicting peritoneal metastasis, assessing the risk of peritoneal recurrence, and identifying small metastatic foci during surgery. This paper summarizes the representative progress and application prospects of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis, and discusses potential development directions such as multimodal data fusion and large model. The integration of medical imaging artificial intelligence with clinical practice is expected to advance personalized and precision medicine in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers.

Enteric human adenovirus(HAdV),a common cause of acute viral gastroenteritis in children,frequently triggers spo-radic infections,nosocomial transmissions,and outbreaks in kindergarten settings.This study was aimed at investigating the molecular characteristics and genetic evolution of enteric HAdV among patients with acute gastroenteritis younger than 5 years in China,to pro-vide foundational data for disease prevention and control.A total of 8 074 stool samples were collected from hospitalized or outpatient children younger than 5 years with acute gastroenteritis in China during 2023.HAdV screening was conducted with real-time fluores-cence PCR.Positive samples were sequenced,then subjected to bioinformatics analysis including genotyping,homology assessment,and phylogenetic analysis with GenBank,BioAider,and MEGA11.0.A total of 370 samples(4.58%)tested positive for HAdV.Two enteric HAdV genotypes were identified:HAdV-F41(which predominated,at 98.09%)and HAdV-F40(1.90%).HAdV-F41 was the dominant genotype among patients with acute gastroenteritis younger than 5 years in China.Bioinformatics analysis indicated that the predominant HAdV lineages in China were lineage 1 and 2,whereas European lineage 3 showed no influence.Systematic and long-term surveillance of HAdV should help elucidate its diversity and evolutionary patterns in China,thereby providing scientific evi-dence for developing more effective prevention strategies.