Objective: To investigate the current knowledge status of transfusion medicine among pediatricians/postgraduates and the reliability of large language models (LLMs) for assisted learning, and to assess changes in pediatricians' transfusion medicine knowledge before and after the implementation of the "Pediatric Transfusion Guideline" (hereafter referred to as the "Guideline"). Methods: In January 2022 (prior to the implementation of the "Guideline"), a questionnaire was developed based on the "Guideline" content and distributed to pediatricians. Subsequently, in July 2025 (after the implementation of the "Guideline"), the "Pediatric Transfusion Medicine Knowledge Questionnaire" was designed based on the content of the January 2022 questionnaire. This questionnaire survey was conducted on pediatricians/postgraduates and LLMs. We analyzed the level of transfusion medicine knowledge among pediatricians/postgraduates and the reliability of LLMs for assisted learning, and compared the accuracy of pediatricians' responses before and after "Guideline" implementation. Results: The survey results after the implementation of the "Guidelines" revealed that pediatricians/postgraduates achieved response accuracy rates exceeding 80% on the topic of "Patient Blood Management". However, response accuracy rates were below 30% for topics including "Types and Indications of Blood Components/Products" and "E-valuation of Transfusion Efficacy". The pediatricians' accuracy rates for related questions before and after the implementation of the "Guidelines" were 14.7%-68.9% and 3%-38%, respectively, and the comparison of accuracy rates for each question showed significant differences (P<0.001). The accuracy rates of the LLMs on the questionnaire were all below 90%. Among them, Doubao (81.1%) and Kimi (86.4%) achieved relatively higher accuracy rates, while Tencent Yuanbao (Hunyuan) had the lowest accuracy rate at only 59.5%. Conclusion: The implementation of the "Guideline" may have improved pediatricians' knowledge level of pediatric transfusion medicine. However, their knowledge level of pediatric transfusion remains low, and LLMs cannot yet provide absolutely reliable guidance. Systematic training in pediatric transfusion medicine is urgently needed.

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the selective loss of dopaminergic neurons in the substantia nigra pars compacta and the pathological accumulation ofα‑synuclein. Although extensive progress has been made in elucidating its pathogenesis, current therapeutic approaches remain largely symptomatic, and effective disease-modifying treatments are still unavailable. Increasing evidence indicates that PD is driven by the interaction of multiple pathological processes, including neuroinflammation, iron homeostasis dysregulation and ferroptosis, endoplasmic reticulum (ER) stress, mitochondrial dysfunction, oxidative stress, and impaired protein homeostasis, which together contribute to neuronal vulnerability and degeneration. Fibroblast growth factors (FGFs) comprise a family of 22 ligands that play important roles in neural development, stress responses, metabolic regulation, and the maintenance of nervous system homeostasis. Recent studies have shown that several FGF family members, such as FGF1, FGF2, FGF9, and FGF21, exert neuroprotective effects in cellular and animal models of PD. These effects include the regulation of inflammatory responses, oxidative stress, iron homeostasis, cellular stress adaptation, and neuronal survival. Compared with therapeutic strategies targeting a single pathogenic pathway, FGFs appear to influence multiple disease-related processes, suggesting their potential relevance to the complex pathophysiology of PD. Experimental evidence indicates that altered FGF signaling may contribute to dopaminergic neuron dysfunction through the coordinated regulation of several interconnected mechanisms. FGFs have been reported to modulate neuroinflammation by affecting the activation of microglia and astrocytes, thereby influencing the inflammatory environment in the central nervous system. In addition, FGFs are involved in the regulation of iron homeostasis and ferroptosis, partly through antioxidant signaling pathways associated with NRF2, SLC7A11, and GPX4. Moreover, FGFs can alleviate ER stress and mitochondrial dysfunction by activating intracellular signaling pathways such as PI3K/AKT, AMPK-PGC-1α, as well as SIRT1-dependent programs, which support cellular energy metabolism and redox balance. Recent advances in single-cell and spatial transcriptomic studies further suggest that FGF signaling is not limited to neuron-intrinsic mechanisms but also involves interactions among different glial cell types. Altered FGF ligand-receptor communication between astrocytes and oligodendrocytes has been observed in PD models and is associated with increased susceptibility of dopaminergic neurons to oxidative stress and ferroptosis. These findings indicate that the biological effects of FGFs are influenced by cell type and disease stage and may vary under different pathological conditions. In this review, we summarize recent progress in understanding the roles of FGF family members in PD, with a focus on their involvement in iron homeostasis dysregulation and ferroptosis, neuroinflammation, cellular stress responses, and neuronal protection and regeneration. By integrating current evidence, this review aims to provide a clearer understanding of how FGFs participate in PD pathogenesis and to offer a theoretical basis for future studies exploring their potential value in disease-modifying therapeutic strategies.

Objective To investigate the role and potential mechanism of secreted phosphoprotein 1 (SPP1)⁺ macrophages in the formation of chronic renal allograft fibrosis. Methods The expression features of SPP1⁺ macrophages in renal allografts of chronic allograft dysfunction (CAD) patients were analyzed based on single-cell transcriptome data of renal tissues from patients with CAD. Transcription factor VIPER analysis and DoRothEA transcription factor activity analysis were performed on the single-cell transcriptome data. Renal tissue samples were collected from kidney transplant recipients, including the CAD group (n=5) and the non-renal allograft fibrosis group (CTL group, n=5). A mouse model of chronic allograft rejection was established and divided into the allogeneic kidney transplantation group (CAD group, n=3) and the syngeneic kidney transplantation group (SYN group, n=3). Hematoxylin-eosin staining was used to detect renal tissue injury in mice, and Masson staining was used to detect renal tissue fibrosis. Immunofluorescence staining was performed to detect SPP1 expression in renal tissues of transplant recipients and mouse renal allografts. Bone marrow-derived macrophages (BMDMs) were extracted from mice and subjected to hypoxia stimulation. The expression of hypoxia-inducible factor (HIF)-1α and SPP1 was detected by Western blot, and SPP1 expression was detected by flow cytometry. BMDMs were transfected with HIF-1α overexpression plasmid and HIF-1α small interfering RNA (siRNA) followed by hypoxia intervention, and the expression of HIF-1α and SPP1 was detected by Western blot. Mouse aortic endothelial cells (MAECs) were co-cultured with the supernatant of BMDMs, and the expression of endothelial-mesenchymal transition (EndMT)-related markers was detected by Western blot and immunofluorescence. Results Single-cell transcriptome analysis showed that the proportion of SPP1⁺ macrophages in renal allograft tissues was significantly higher in the CAD group than in the CTL group (P<0.05). The renal injury score and the percentage of interstitial fibrotic area in the CAD group were significantly higher than those in the SYN group (both P<0.05). Immunofluorescence staining showed that the proportion of SPP1⁺ macrophages was increased in the CAD group compared with the CTL group, and also increased in the CAD group compared with the SYN group (both P<0.05). VIPER analysis and DoRothEA transcription factor activity analysis revealed activation of the hypoxia pathway and upregulated expression of transcription factors such as HIF-1α in SPP1⁺ macrophages. SPP1 expression was elevated in BMDMs under hypoxic conditions. Knockdown of HIF-1α inhibited hypoxia-induced SPP1 protein expression, whereas overexpression of HIF-1α upregulated SPP1 protein levels. After co-culture of hypoxia-induced BMDMs with MAECs, the expression levels of EndMT-related markers were increased. Conclusions SPP1⁺ macrophages differentiated under hypoxia are significantly infiltrated in the formation of chronic renal allograft fibrosis, and may promote renal allograft fibrosis by inducing EndMT in renal vascular endothelial cells.

ObjectiveBased on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective. MethodsAccording to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity. ResultsCompared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2. ConclusionChildren with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.

This paper summarizes Professor ZHAO Jiping's acupuncture diagnostic and therapeutic approach for tic disorders (TD). Focusing on the pathological characteristics of tic disorder (TD), this study analyzes TD's multilayered disease localization. Based on disease-based differentiation, it is proposed that the fundamental pathological location lie in the liver and brain, while the manifestation is in the sinew meridians. The core pathogenesis is characterized as "internal stirring of wind due to liver hyperactivity, upward disturbance of the mind in the brain, and external disharmony of the sinews", based on which the fundamental therapeutic principles are established as calming the liver and extinguishing wind, tranquilizing the mind and awakening the brain, and dredging and regulating the sinews. In clinical practice, attention is paid to meridian and acupoint examination, integrating the four diagnostic methods to assess the deficiency or excess of the liver, the state of the mind, and the condition of the sinews. Acupoint selection emphasizes three regulatory strategies: (1) liver regulation: Taichong (LR3), Hegu (LI4) are selected to soothe the liver and regulate qi; (2) brain regulation: Baihui (GV20), Shenting (GV24), Yintang (GV24⁺), Fengchi (GB20) are selected to calm the mind and stabilize the spirit; (3) sinew regulation: Yanglingquan (GB34), Zusanli (ST36), Quchi (LI11) are selected to regulate qi and blood and relax the sinews. Manipulation techniques, as well as various acupuncture and moxibustion methods, are also emphasized. A differential treatment framework of "layered disease localization-corresponding pathogenesis-precise acupoint selection and technique" has been established to provide a clinical guide for the diagnosis and treatment of TD.
Humans ; Acupuncture Therapy/history* ; Tic Disorders/diagnosis* ; Acupuncture Points ; Meridians ; Diagnosis, Differential ; China

Drynaria fortunei,commonly known as"bone setting herb",has been widely included in various traditional Chinese herb-al classics for treating bone injuries.It is used medicinally from its rhizome,which has a bitter taste and warm property.It is known to nourish the kidneys,strengthen bones,and alleviate pain from injuries.The chemical constituents mainly include flavonoids,phenylpro-panoids,triterpenoids,phenolic acids,lignans,and sterols.Modern medical research indicates that Drynaria fortunei has anti-osteoporo-sis effects,promotes fracture healing,has anti-inflammatory properties,and benefits dental health.This article reviews the historical use of Drynaria fortunei and recent research on its chemical composition and pharmacological effects,summarizing some of the mechanisms of action.The aim is to provide a reference for further research on this medicinal herb.

Objective To analyze the characteristics of spirometry and type 2 inflammation indicators of patients with CVA,ACO and CA to determine their clinical utility in identifying and distinguishing among CVA,ACO and CA patients.Methods Clinical data from 483 patients diagnosed with bronchial asthma,CVA,and bronchial asthma combined with chronic obstructive pulmonary disease in the outpatient department of the First Affiliated Hospital of Soochow University from July 2023 to June 2024 were collected and divided into CA,CVA and ACO groups according to diagnosis.Comparison of spirometry,fractional exhaled nitric oxide(FeNO),blood eosinophil(EOS),serum total immunoglobulin E(tIgE)and other tests between CA and CVA,CA and ACO groups.Perform logistic regression analysis on significant test results,then construct receiver operating characteristic(ROC)curves to compare the area under the curve and corresponding cut-off values.Result There was a statistically significant difference in tIgE between the CVA and CA groups(P=0.018),whereas no significant differences were observed in FeNO and EOS.Additionally,no notable differences were found between the ACO and CA groups in tIgE,FeNO,or EOS.Finally,FEV1％pred(OR=1.086,P=0.019),FEV1/FVC(OR=1.153,P=0.023),and MEF50％pred(OR=0.922,P=0.045)were used to construct the discriminative model between CA and CVA.ROC curves were plotted,with FEV1％pred showing an AUC of 0.680(P<0.001),a Youden index of 0.358,and a corresponding cutoff value of 89.200.FEV1/FVC had an AUC of 0.684(P<0.001),a Youden index of 0.334,and a cutoff value of 76.075.MEF50％pred had an AUC of 0.668(P<0.001),a Youden index of 0.309,and a cutoff value of 59.800.The combined sensitivity of these three measures was 0.909,specificity was 0.514,positive predictive value was 0.600,negative predictive value was 0.873,and the AUC was 0.773(P<0.001),with a Youden index of 0.423.FEV1(OR=0.002,P=0.045),FEV1％pred(OR=1.490,P=0.006),and FEV1/FVC(OR=0.749,P=0.005)were used to construct the discriminative model between CA and ACO.ROC curves were plotted,with FEV1 showing an AUC of 0.819(P<0.001),a Youden index of 0.532,and a corresponding cutoff value of 2.060.FEV1％pred had an AUC of 0.788(P<0.001),a Youden index of 0.501,and a cutoff value of 75.000.FEV1/FVC had an AUC of 0.891(P<0.001),a Youden index of 0.678,and a cutoff value of 68.620.The combined sensitivity of these three measures was 1.000,specificity was 0.904,positive predictive value was 0.771,negative predictive value was 1.000,and the AUC was 0.973(P<0.001),with a Youden index of 0.904.Conclusions Differences exist in the spirometry among CVA,ACO and CA.The spirometry results incor-porated into the discriminative models provide good discriminative value for distinguishing between CA and CVA patients with similar clinical symptoms,as well as for identifying ACO in the CA population.

Objective:To investigate the effect of FOXQ1 expression on chemoresistance in colorectal cancer and analyze its regulatory role in SIRT1 expression and p53 deacetylation under DNA damage response(DDR)condi-tions.Methods:qRT-PCR was used to detect FOXQ1 mRNA expression levels in SW620 cells and SW620 cells stimulated with cisplatin(CDDP).Lentiviral vectors were constructed for FOXQ1 overexpression and RNA interference.The cells were divided into three groups:FOXQ1 overexpression group(oe-FOXQ1),FOXQ1 RNA interference group(sh-FOXQ1),and a control group transfected with an empty vector(NC).The half-maximal inhibitory concentration(IC50)of CDDP in each group was determined using the CCK-8 assay.Apoptosis level and cell viability were assessed using the Annexin V-APC/7-ADD apoptosis detection kit and Calcein/PI staining.Western blot analysis was performed to evaluate the effect of FOXQ1 on SIRT1 expression and acetylated p53 levels.The SIRT1 pathway inhibitor(S)-Selisi-stat was introduced to observe changes in p53 acetylation levels.Results:Compared to normal colon tissues,FOXQ1 expression was significantly upregulated in SW620 cells(P＜0.05),and low-dose CDDP stimulation further en-hanced its expression(P＜0.05).After 24 hours of CDDP treatment,the IC50 values for the oe-FOXQ1,sh-FOXQ1,and NC groups were 58.3 μmol/L,36.4 μmol/L,and 43.7 μmol/L,respectively,with statistically significant differences among the groups(P＜0.05).Compared to the NC group,the oe-FOXQ1 group showed a decrease in late apoptotic cell count(P＜0.05),while the sh-FOXQ1 group exhibited an increase(P＜0.05).Cytotoxic fluorescence staining re-vealed that the proportion of cell death was lower in the oe-FOXQ1 group and higher in the sh-FOXQ1 group com-pared to the NC group(P＜0.05).Protein expression analysis showed that FOXQ1 and SIRT1 levels were higher in the oe-FOXQ1 group and lower in the sh-FOXQ1 group compared to the NC group(P＜0.05).FOXQ1 overexpression pro-moted p53 deacetylation,while the addition of the SIRT1 pathway inhibitor(S)-Selisistat restored p53 acetylation levels(P＜0.05).Conclusion:FOXQ1 promotes p53 deacetylation by upregulating SIRT1 expression,thereby inhibiting DDR-induced apoptosis.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Objective:To analyze the genotypes and distribution of thalassemia in Xindu District of Chengdu,in order to provide reference for the prevention and treatment of thalassemia in this area.Methods:A total of 3 679 samples screened for thalassemia gene in Xindu District People's Hospital of Chengdu from June 2021 to April 2024 were selected as the study objects.Blood related parameters were detected by blood analyzer,hemoglobin composition was analyzed by capillary electrophoresis,and routine thalassemia gene detection was performed by PCR+flow-through hybridization.For the samples whose hematologic characteristics did not match the conventional results of thalassemia genes,the genotypes were determined by gene sequencing technology and the results were analyzed.Results:Among 3 679 samples,540 carriers were detected,the total detection rate was 14.68％.Among them,329 cases were α-thalassemia,with a total of 8 genotypes.The top 3 genotype in frequency were--SEA/αα(45.29％,149/329),-α3.7/αα(38.91％,128/329),and-α4.2/αα(6.08％,20/329).There were 197 cases of β-thalassemia,with a total of 10 genotypes,and the top 3 genotype in frequency were βCD41-42(-TCTT)/βN(29.95％,59/197),βCD17(A＞T)/βN(27.92％,55/197),and βIVSII-654(C＞T)/βN(24.87％,49/197).There were 14 cases of αβ-thalassemia,with a total of 12 genotypes,and the main were-α3.7/αα,βIVSII-654(C＞T)/βN and-α3.7/αα,βCD41-42(-TCTT)/βN.There was a rare thalassemia genotype(--SEA/HKαα).In addition,three rare abnormal hemoglobin mutations and one unreported abnormal hemoglobin mutation(HBA1:c.300+13C＞G site heterozygous mutation)were also found.Conclusion:The detection rate of thalassemia gene in this area is high and the genotype is complex.In gene diagnosis,we should pay attention to the combination of multi-technology detection to avoid missing rare genotypes.