Objective To evaluate the effect of low-dose ¹⁸F-fluorodeoxyglucose (FDG) injection on image quality in pediatric patients, calculate the whole-body effective dose and absorbed doses to critical organs, and provide a reference for clinical protection in pediatric low-dose positron emission tomography/computed tomography (PET/CT) examination. Methods A total of 67 pediatric patients aged 4-14 years who underwent ¹⁸F-FDG whole-body PET/CT imaging in the Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University between January 2024 and December 2025 were enrolled in a retrospective study. According to the injected ¹⁸F-FDG dose, patients were divided into a full-dose group (37 cases, 2.96-3.7 MBq/kg, PET acquisition duration of 10 min) and a low-dose group (30 cases, 1.85-2.4 MBq/kg, PET acquisition duration of 15 min). All scans were performed using a uEXPLORER PET/CT scanner. The standardized uptake value, standard deviation, and signal-to-noise ratio were measured for the liver and mediastinal blood pool. Image quality was compared between the two groups. The PET effective dose was calculated based on body mass index, and the total effective dose was obtained by combining PET effective dose with CT effective dose. The doses to critical organs were calculated according to ICRP Publication 128. Statistical analysis was performed using SPSS 26.0 and Prism 9.0 software. Differences were compared between groups. Results There were no significant differences in age, sex, weight, height, or body mass index between the two groups (P>0.05), while the injected dose showed a significant difference (P<0.001). In terms of image quality, there were no significant differences in standardized uptake value, standard deviation, and signal-to-noise ratio between the two groups. In terms of radiation dose, compared with the full-dose group, the low-dose group showed a 35.13% reduction in PET effective dose and a 15.22% reduction in total effective dose (P<0.05), whereas the CT effective dose was reduced by 2.4% and the difference was not significant (P=0.0892). The doses to critical organs (gonads, breasts, thyroid, red bone marrow, lungs) in the low-dose group were significantly lower than those in the full-dose group (P<0.01). Conclusion Under the premise of meeting clinical diagnostic requirements, low-dose ¹⁸F-FDG whole-body PET/CT imaging in pediatric patients can reduce the overall radiation exposure by 15%, and decrease the doses to critical organs, including the gonads, by more than 20%.

Objective To evaluate the effect of low-dose ¹⁸F-fluorodeoxyglucose (FDG) injection on image quality in pediatric patients, calculate the whole-body effective dose and absorbed doses to critical organs, and provide a reference for clinical protection in pediatric low-dose positron emission tomography/computed tomography (PET/CT) examination. Methods A total of 67 pediatric patients aged 4-14 years who underwent ¹⁸F-FDG whole-body PET/CT imaging in the Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University between January 2024 and December 2025 were enrolled in a retrospective study. According to the injected ¹⁸F-FDG dose, patients were divided into a full-dose group (37 cases, 2.96-3.7 MBq/kg, PET acquisition duration of 10 min) and a low-dose group (30 cases, 1.85-2.4 MBq/kg, PET acquisition duration of 15 min). All scans were performed using a uEXPLORER PET/CT scanner. The standardized uptake value, standard deviation, and signal-to-noise ratio were measured for the liver and mediastinal blood pool. Image quality was compared between the two groups. The PET effective dose was calculated based on body mass index, and the total effective dose was obtained by combining PET effective dose with CT effective dose. The doses to critical organs were calculated according to ICRP Publication 128. Statistical analysis was performed using SPSS 26.0 and Prism 9.0 software. Differences were compared between groups. Results There were no significant differences in age, sex, weight, height, or body mass index between the two groups (P>0.05), while the injected dose showed a significant difference (P<0.001). In terms of image quality, there were no significant differences in standardized uptake value, standard deviation, and signal-to-noise ratio between the two groups. In terms of radiation dose, compared with the full-dose group, the low-dose group showed a 35.13% reduction in PET effective dose and a 15.22% reduction in total effective dose (P<0.05), whereas the CT effective dose was reduced by 2.4% and the difference was not significant (P=0.0892). The doses to critical organs (gonads, breasts, thyroid, red bone marrow, lungs) in the low-dose group were significantly lower than those in the full-dose group (P<0.01). Conclusion Under the premise of meeting clinical diagnostic requirements, low-dose ¹⁸F-FDG whole-body PET/CT imaging in pediatric patients can reduce the overall radiation exposure by 15%, and decrease the doses to critical organs, including the gonads, by more than 20%.

Objective To evaluate the effect of low-dose ¹⁸F-fluorodeoxyglucose (FDG) injection on image quality in pediatric patients, calculate the whole-body effective dose and absorbed doses to critical organs, and provide a reference for clinical protection in pediatric low-dose positron emission tomography/computed tomography (PET/CT) examination. Methods A total of 67 pediatric patients aged 4-14 years who underwent ¹⁸F-FDG whole-body PET/CT imaging in the Department of Nuclear Medicine, The First Affiliated Hospital of Shandong First Medical University between January 2024 and December 2025 were enrolled in a retrospective study. According to the injected ¹⁸F-FDG dose, patients were divided into a full-dose group (37 cases, 2.96-3.7 MBq/kg, PET acquisition duration of 10 min) and a low-dose group (30 cases, 1.85-2.4 MBq/kg, PET acquisition duration of 15 min). All scans were performed using a uEXPLORER PET/CT scanner. The standardized uptake value, standard deviation, and signal-to-noise ratio were measured for the liver and mediastinal blood pool. Image quality was compared between the two groups. The PET effective dose was calculated based on body mass index, and the total effective dose was obtained by combining PET effective dose with CT effective dose. The doses to critical organs were calculated according to ICRP Publication 128. Statistical analysis was performed using SPSS 26.0 and Prism 9.0 software. Differences were compared between groups. Results There were no significant differences in age, sex, weight, height, or body mass index between the two groups (P>0.05), while the injected dose showed a significant difference (P<0.001). In terms of image quality, there were no significant differences in standardized uptake value, standard deviation, and signal-to-noise ratio between the two groups. In terms of radiation dose, compared with the full-dose group, the low-dose group showed a 35.13% reduction in PET effective dose and a 15.22% reduction in total effective dose (P<0.05), whereas the CT effective dose was reduced by 2.4% and the difference was not significant (P=0.0892). The doses to critical organs (gonads, breasts, thyroid, red bone marrow, lungs) in the low-dose group were significantly lower than those in the full-dose group (P<0.01). Conclusion Under the premise of meeting clinical diagnostic requirements, low-dose ¹⁸F-FDG whole-body PET/CT imaging in pediatric patients can reduce the overall radiation exposure by 15%, and decrease the doses to critical organs, including the gonads, by more than 20%.

Objective:To evaluate the effect of acupuncture on postoperative delirium (POD) in diabetic patients undergoing surgery under general anesthesia.Methods:In this randomized controlled trial, 92 diabetic patients of either sex, aged 30-80 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective surgery under general anesthesia, were divided into 2 groups ( n=46 each) using a table of random numbers: control group (group C) and acupuncture group (group A). Group A received acupuncture at the Baihui (GV20), Shenting (GV24) and Sishencong (EX-HN1) acupoints before anesthesia. The needles were retained for 30 min, with manual stimulation applied every 10 min for 10 s each time. After 4 stimulations, routine anesthesia was carried out. Group C received routine anesthesia only. Regional cerebral oxygen saturation was recorded on admission to the operating room (T 0), after anesthesia induction (T 1), at the start of surgery (T 2), at the end of surgery (T 3), and immediately after tracheal extubation (T 4). The POD developed within 3 days after surgery was assessed. The occurrence of needle-related adverse effects such as fainting, subcutaneous bleeding, and local paresthesia was recorded. Results:Compared with group C, the incidence of POD was significantly reduced, and the regional cerebral oxygen saturation was increased at T 1, 4 in group A ( P<0.05). Conclusions:Acupuncture can decrease the development of POD in diabetic patients undergoing surgery under general anesthesia, which is related to an increase in regional cerebral oxygen saturation.

Background:Bushen Zhuanggu Formula(BZF),derived from the classic Yougui Pills,has shown favorable clinical efficacy in treating advanced nontraumatic osteonecrosis of the femoral head(NONFH),particularly by promoting bone repair.However,its underlying mechanisms remain unclear.Objective:This study aimed to explore the mechanisms by which BZF promotes bone repair in advanced NONFH.Materials and methods:A total of 518 potential BZF targets were identified from the ETCM v2.0 database.Transcriptomic profiling of clinical cohorts revealed 485 differentially expressed genes in advanced NONFH patients compared to healthy controls.A drug target-disease gene interaction network was constructed to identify candidate BZF targets involved in NONFH pathogenesis.In vivo experiments were conducted to validate the effects of BZF in a rat model of advanced NONFH.Results:Network analysis identified key pathways associated with blood circulation obstruction,immune-inflammatory imbalance,and abnormal bone metabolism.Protein kinase C alpha(PKCA),Ras proto-oncogene(RAS),mitogen-activated protein kinase 3(ERK),ETS proto-oncogene 1(ETS1),and receptor activator of nuclear factor-κB ligand(RANKL)formed a signaling axis implicated in NONFH pathogenesis.BZF treatment alleviated joint inflammation,preserved trabecular bone morphology,reduced bone loss,and promoted bone repair.Mechanistically,BZF significantly downregulated the expression of PKCA,RAS,ERK,ETS1,and RANKL,improved blood circulation,and inhibited osteoclast activation while promoting osteoblast activation.Conclusion:BZF may promote bone repair in advanced NONFH by enhancing blood circulation and modulating the PKC-RAS-ERK-ETS1-RANKL signaling axis,thereby reversing dysregulated bone metabolism.

Autoantibody immunoassays are critical in the diagnosis, disease stratification and prognosis of autoimmune disease (AID). Many important autoantibodies have been included in the diagnostic criteria for the classification and stratification of AID. However, the poor comparability among different methodologies may lead to significant differences in the interpretation of autoantibody test results, which poses a great challenge for the clinical application of autoantibody testing. The aim of this article is to discuss the main factors affecting the comparability of autoantibody test results, including the heterogeneity of autoantibodies, the variability of antigens, the setting of the positive judgment value for qualitative tests, and the traceability of calibrators for quantitative tests. In addition, this article also discusses the role of external quality assessment in improving the comparability of autoantibody test results.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective The study aims to elucidate the inhibitory effects of curcumin on the proliferation of colon cancer RKO cells,focusing on the regulatory mechanisms of tripartite motif-containing protein 2(TRIM2)expression and the mammalian target of rapamycin(mTOR)signaling pathway.Methods Experimental concentrations of curcumin were determined by calculating the half maximal inhibitory concentration(IC50)value.Quantitative polymerase chain reaction(qPCR)was utilized to assess the level of TRIM2 expression in RKO and fetal human colon(FHC)cells.Western blotting analysis was conducted to investigate the level of TRIM2 expression and mTOR pathway-related proteins in curcumin-treated RKO cells.The impact of curcumin treatment,TRIM2-knockingdown,and mTOR signaling pathway on proliferation in RKO cells was quantified using the cell counting kit-8(CCK8)assay.Results The expression of TRIM2 was found to be elevated in RKO cells as determined by qPCR,compared to FHC cells.Curcumin suppressed the level of TRIM2 expression,and subsequent knockdown of TRIM2 resulted in decreased expression of mTOR-related proteins in RKO cells.Both curcumin and TRIM2-knockdown demonstrated significant inhibition of proliferation in RKO cells,with reversion upon activation of mTOR signaling pathway.Conclusion The study unveils the inhibitory effects of curcumin on RKO cells proliferation through modulation of TRIM2 expression and the mTOR signaling pathway.