Objective: To explore the relationship between serum homocysteine (Hcy), interleukin-5 (IL-5), folate and core symptoms in children with autism spectrum disorders, so as to provide potential biomarkers for early diagnosis and intervention of diseases. Methods: A total of 106 children with autism spectrum disorders and 106 healthy children with matched sex and age in Lu an People s Hospital were enrolled as autism group and healthy group between May 2020 to December 2023. On the day of admission, levels of serum Hcy, IL-5 and folate were detected. The core symptoms in autism group were evaluated by Autism Behavior Checklist (ABC), Wechsler Preschool and Primary Scale of Intelligence-fourth edition(WPPSI-IV), Childhood Autism Rating Scale (CARS) and Social Responsiveness Scale (SRS). The levels of serum Hcy, IL-5 and folate in the two groups were compared by t- test. The relationship between serum Hcy, IL-5, folate and core symptoms in children with autism spectrum disorders was determined by Pearson correlation analysis. Results: The levels of serum Hcy and IL-5 in autism group were (7.48±0.32) μmol/L and (345.77±32.51) pg/mL, higher than those in healthy group [(6.11±0.54) μmol/L, (274.04±25.17) pg/mL], while folate level was lower than that in healthy group [(15.24±3.47) ng/mL, (22.51±4.69) ng/mL], the differences were statistically significant ( t =22.47, 17.96, 12.83, all P < 0.05 ). In autism group, levels of serum Hcy and IL-5 were positively correlated with scores of ABC, CARS and SRS ( r =0.29, 0.53 , 0.54; 0.45, 0.41, 0.50), while negatively correlated with WPPSI-IV score ( r =-0.28, -0.26)(all P <0.05). The folate level was negatively correlated with scores of ABC, CARS and SRS ( r =-0.55, -0.40, -0.25), while positively correlated with WPPSI-IV score ( r =0.41) (all P <0.05). Conclusion Children with ASD show elevated serum Hcy and IL-5 alongside decreased folate,and three markers correlate with core symptoms and intellectual level.

ObjectiveBased on the regulation of macrophage M2 polarization， this study aims to explore the molecular mechanism and action targets of the Qijia Rougan prescription and its key effector ingredients in anti-fibrosis， thereby providing a basis and reference for the development of new drugs for hepatic fibrosis. MethodsA rat model of hepatic fibrosis was established by subcutaneous injection of 40%CCl₄， followed by oral administration of Qijia Rougan granules. The volume of collagen fibers was detected using Masson staining， the fibrosis markers Collagen Ⅰ and α-SMA were detected using immunohistochemistry， the proportion of M2 macrophages was detected by flow cytometry. The expression levels of M2 macrophage phenotype markers CD163 and CD206 were detected using immunofluorescence double staining. Western blot was used to detect the levels of the transforming growth factor-β （TGF-β）， platelet derived growth factor subunit B （PDGFB）， interleukin-10 （IL-10）， phosphorylated Janus kinase 1 （p-JAK1）， and phosphorylated signal transducer and activator of transcription 6 （p-STAT6）. Real-time fluorescent quantitative PCR was used to detect the relative expression levels of JAK1， STAT6， Arginase 1（Arg1）， and Fizz1. Based on the theory of serum pharmacology， liquid chromatography-mass spectrometry and WENN analysis were used to obtain the active ingredients of Qijia Rougan prescription. Molecular docking and molecular dynamics simulation were performed to analyze the effector ingredients and their targets. The identified effector ingredients were interfered with IL-4-induced M2 polarization of RAW264.7 macrophage in vitro to validate the targets. ResultsQijia Rougan prescription significantly reduced the content of fibrosis markers α-SMA and Collagen Ⅰ， as well as collagen fiber content （P<0.05）. It decreased the proportion of M2 macrophages and the levels of related cytokines IL-10， TGF-β and PDGFB， and up-regulated the levels of p-JAK1 and p-STAT6 （P<0.05）. A total of 1 214 compounds were identified from Qijia Rougan prescription， medicated serum and blank serum， and 29 ingredients were finalized by Venn analysis， including 15 blood-entry prototypes and 14 drug metabolites. Molecular docking showed that enoxolone and berberine bound more strongly to JAK1， with binding free energies of -9.6 kcal·mol^-1（1 cal≈4.184 J） and -9.1 kcal·mol^-1， respectively. Molecular dynamics simulations showed that JAK1-enoxolone and JAK1-berberine exhibited stable simulation trajectories within 100 ns， with essentially identical conformations and high protein overlap before and after simulation. Their binding free energies were -25.18 5.0.81 kcal·mol^-1 and -27.39 7.0.85 kcal·mol^-1， respectively. The number of hydrogen bonds formed between JAK1 and enoxolone ranges from 0 to 5， and most of the time can be maintained at 2-3. In vitro intervention with enoxolone or berberine significantly reduced p-JAK1 and p-STAT6 levels （P<0.05）. ConclusionQijia Rougan prescription inhibits M2 macrophage polarization in hepatic fibrosis. Enoxolone and berberine are the key effector ingredients of Qijia Rougan prescription to inhibit macrophage M2 polarization through targeting JAK1 and modulating the JAK1/STAT6 signaling pathway， thereby ameliorating hepatic fibrosis. This study provides a basis for prescription optimization， clinical application and new drug development， as well as a reference for monolithic anti-hepatic fibrosis research.

Multidrug-resistant (MDR) bacterial infections have emerged as a serious challenge of global public health crisis. The overuse and misuse of conventional antibiotics have dramatically accelerated the emergence, evolution and worldwide spread of drug-resistant bacterial strains, necessitating urgent exploration of novel antibacterial strategies. Bacteriophages serve as natural bacterial predators offering distinct advantages including high host specificity, autonomous self-replication capabilities and cost-effective large-scale production. However, wild-type phages present significant clinical limitations due to their narrow host ranges, susceptibility to rapid immune clearance and poor penetration of bacterial biofilms, which severely restrict their therapeutic applications. The convergence of synthetic biology, nanotechnology and advanced gene editing technologies has accelerated the development of engineered bacteriophage platforms, providing programmable, scalable and clinically translatable pathways to overcome these inherent biological constraints. Here, we systematically delineate four fundamental strategies for engineered bacteriophage development. Chemical modification utilizes reactive functional groups such as amino, carboxyl and thiol moieties on capsid proteins through esterification, amidation or click chemistry reactions to achieve precise drug conjugation and surface functionalization. In vivo editing encompasses ultraviolet or chemical mutagenesis for random mutation induction, homologous recombination for targeted genetic alterations, recombineering methodologies including electroporation-mediated bacteriophage recombination engineering, and CRISPR-Cas systems for precise genome editing to enable exact genetic reconstruction and host range reprogramming. In vitro synthesis leverages genome engineering platforms where intact phage genomes are transferred into yeast or host bacteria to facilitate highly efficient homologous recombination, enabling large DNA fragment assembly and cross-gene host range expansion without bacterial toxicity constraints. Directed evolution combines artificial selection through mutation library screening with rational design approaches involving chimeric receptor binding protein construction or site-specific mutagenesis, effectively balancing the discovery of unknown adaptive pathways with targeted host specificity modification. Moreover, we comprehensively discuss therapeutic applications across diverse clinical scenarios. Engineered bacteriophage effectively disrupt bacterial biofilms through sophisticated functionalized delivery platforms including nanozyme-conjugated phages, phage-liposome nanoconjugates and bio-responsive hydrogels, demonstrating significantly enhanced bactericidal efficiency compared to unmodified free phages. These bioengineered vectors attenuate bacterial virulence and resensitize pathogens to antibiotics by delivering CRISPR-Cas systems or base editors to disrupt critical virulence factors such as pili, capsule synthesis machineries and quorum sensing systems, or by inactivating antibiotic resistance determinants including beta-lactamase genes. As an intelligent nanomedicine delivery platform, engineered bacteriophage enable precise pathogen elimination an through photocatalytic reactive oxygen species generation, immunomodulatory interventions, or controlled release of antibacterial drugs. Furthermore, oral administration of engineered bacteriophage facilitates microbiota modulation, which selectively eliminate intestinal pathogens while preserve beneficial commensal microbiota, thereby restoring microbial community balance and preventing complications associated with dysbiosis. Finally, we critically analyze persistent challenges including host strain matching complexity, evolution of bacterial resistance mechanisms, pharmacokinetic optimization requirements, optimal administration route selection, large-scale production quality control standards and clinical dosing determination protocols. Through multidisciplinary integration of synthetic biology, infectious disease medicine and immunology, future translational medicine studies of bacteriophage should establish comprehensive technical platforms encompassing rapid phage screening, intelligent rational design, rigorous in vivo evaluation and standardized clinical validation processes, ultimately advancing engineered bacteriophage from laboratory innovations to clinically approved therapeutics for effectively combating MDR bacterial infections.

Objectives:To investigate the association between cardiac magnetic resonance(CMR)structural parameters and myocardial fibrosis in patients with hypertrophic cardiomyopathy(HCM),and to assess their predictive value for major adverse cardiovascular events(MACE).Methods:A total of 120 patients with HCM who underwent CMR examination at Affiliated Hospital of Guangdong Medical University between December 2021 and December 2023 were retrospectively enrolled.Patients were divided into the MACE group and the non-MACE group.MACE included acute myocardial infarction,angina pectoris,stroke,heart failure,severe arrhythmia.The CMR parameters were compared between the two groups.The correlation between CMR structural parameters and the myocardial fibrosis index(number of myocardial fibrotic segments/total segment number×100%)was evaluated using the locally weighted scatterplot smoothing method(LOWESS).Multivariate Cox regression was performed to identify the influencing factors of MACE.Threshold effect analysis of CMR structural parameters was conducted,and receiver operating characteristic(ROC)curves were generated to evaluate the diagnostic performance of CMR structural parameters for MACE.Results:During a follow-up period of 12(5,30)months,a total of 78(65.0%)patients developed MACE(the MACE group),and the remaining 42(35.0%)patients were assigned to the non-MACE group.Compared with the non-MACE group,patients in the MACE group had significantly larger left atrial diameter,left ventricular end-diastolic maximum diameter,maximal interventricular septal thickness,maximal left ventricular wall thickness,and higher myocardial fibrosis index(all P<0.05).The LOWESS analysis showed significant positive correlations between the above CMR structural parameters and the myocardial fibrosis index(all Poverall<0.05).The multivariate Cox regression showed that the echocardiographic interventricular septal thickness OR=2.622,95%CI:1.537-3.033),left ventricular posterior wall thickness(OR=1.597,95%CI:1.353-2.420),as well as CMR-derived left atrial diameter(OR=1.623,95%CI:1.314-2.595),left ventricular end-diastolic maximum diameter(OR=1.927,95%CI:1.594-2.981),maximal interventricular septal thickness(OR=2.085,95%CI:1.426-2.563),and maximal left ventricular wall thickness(OR=2.306,95%CI:1.760-2.805)were independent predictors of MACE(all P<0.05).The threshold effect analysis revealed that the left atrial diameter,left ventricular end-diastolic maximum diameter,maximal interventricular septal thickness,and maximal left ventricular wall thickness were all positively associated with the risk of MACE(all Poverall<0.05).The ROC curve analysis demonstrated that among individual CMR parameters,maximal interventricular septal thickness had the highest predictive performance(AUC=0.86,95%CI:0.74-0.95;sensitivity was 83.67%,specificity was 78.87%).Combined structural parameters(left atrial diameter,left ventricular end-diastolic maximum diameter,maximal interventricular septal thickness,and maximal left ventricular wall thickness)provided superior predictive accuracy(AUC=0.91,95%CI:0.84-0.99;sensitivity was 86.22%,specificity was 76.26%).Conclusions:HCM patients with MACE exhibit distinct clinical and imaging features compared with those without MACE.CMR structural parameters,including left atrial diameter,left ventricular end-diastolic maximum diameter,maximal interventricular septal thickness,and maximal left ventricular wall thickness,are closely related to myocardial fibrosis and strongly associated with MACE risk.A composite index integrating these parameters shows high predictive value for MACE.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective The pathophysiological process of acute high-altitude hypoxia-induced lung injury affects protein expression levels,which are mainly evaluated by Western blot.No systematic study has investigated changes in internal control proteins as calibration loading amounts.Methods Lung injury at an altitude of 6000 m was induced in a low-pressure,low-oxygen chamber for 8,24,and 72 h using C57BL/6J mice.Establishment of the model was confirmed by hematoxylin and eosin staining.Expression levels of various internal control proteins,including vinculin,α-tubulin,eukaryotic translation initiation factor 5(EIF5),β-actin,and glyceraldehyde 3-phosphate dehydrogenase(GAPDH)were detected by Western blot,and total protein expression was detected by Coomassie blue staining.Furthermore,the lung injury model in vitro was establised by using,Bronchial epithelial cell(BZAS-2B)andhunman umbilical vein endothelial cells(HUVECS)confirmed by TUNEL staining.Expression levels of internal control proteins were detected by Western blot,and total protein expression was detected by Coomassie Blue staining.Results Acute 8,24,and 72 h hypoxic models were successfully established in lung tissue,demonstrating consistent total protein expression and stable levels of the internal reference proteins vinculin,α-tubulin,EIF5,andβ-actin.GAPDH expression was elevated in the HH8 h,HH24 h,and HH72 h groups compared with the normoxia(Nor)group,but only the increase at HH72 h groups was significant.Similarly,8,24,and 48 h hypoxic models were successfully established in BEAS-2B cells and HUVECs,with consistent total protein expression.In BEAS-2B cells,expression levels of the internal reference proteins β-actin and GAPDH were consistent with the normoxic control(NC)group,while vinculin,α-tubulin,and EIF5 expression levels were significantly reduced under hypoxic conditions for up to 24 h.In HUVECs,vinculin and α-tubulin expression levels were also consistent with the NC group,while EIF5,β-actin,and GAPDH expression levels were significantly reduced at 8 h and increased at 48 h.Conclusions Acute hypoxia induces lung tissue injury,and protein expression levels of the internal reference proteins vinculin,α-tubulin,EIF5,and β-actin are stable,making them suitable internal references for Western blot.Additionally,Western blot detected differential expression levels of the internal reference proteins vinculin,α-tubulin,EIF5,β-actin,and GAPDH in BEAS-2B cells and HUVECs,as the most important in vitro lung tissue models of hypoxia-induced injury.

AIM To establish a UPLC-ESI-MS/MS method for analyzing the toxic material basis of 95％ethanol cold soaked ultrasonic extract(EC),95％ethanol heated reflux extract(EH)and water decoction extract(WD)from Dryopteris crassirhizoma Nakai.METHODS The analysis was performed on a 25 ℃ thermostatic agilent ZORBAX RRHD StableBond C18 column(2.1 mm×150 mm,1.8 μm),with the mobile phase comprising of methanol-0.2％formic acid flowing at 0.30 mL/min,and heated electrospray ion source was adopted in positive and negative ion scanning.Compounds were identified by Compound Discover 3.3 software combined with the database and related literature,and the main differential components were screened by Heatmap cluster analysis and partial least squares discriminant analysis.RESULTS 72 compounds were identified(22 phloroglucinols,19 flavonoids,8 phenylpropanoids,6 terpenoids and 17 other components).The main toxic differential components were phloroglucinols such as flavaspidic acid AB,didemethylpseudoaspidin AA and filixic acid PBP,flavonoids such as(-)-epicatechin,(-)-epigallocatechin,cianidanol,and other compounds such as indole-3-carboxaldehyde.CONCLUSION This method can rapidly,effectively and comprehensively characterize the main chemical composition of D.crassirhizoma,and provide a reference for the study of its pharmacological mechanism.

Objective The pathophysiological process of acute high-altitude hypoxia-induced lung injury affects protein expression levels,which are mainly evaluated by Western blot.No systematic study has investigated changes in internal control proteins as calibration loading amounts.Methods Lung injury at an altitude of 6000 m was induced in a low-pressure,low-oxygen chamber for 8,24,and 72 h using C57BL/6J mice.Establishment of the model was confirmed by hematoxylin and eosin staining.Expression levels of various internal control proteins,including vinculin,α-tubulin,eukaryotic translation initiation factor 5(EIF5),β-actin,and glyceraldehyde 3-phosphate dehydrogenase(GAPDH)were detected by Western blot,and total protein expression was detected by Coomassie blue staining.Furthermore,the lung injury model in vitro was establised by using,Bronchial epithelial cell(BZAS-2B)andhunman umbilical vein endothelial cells(HUVECS)confirmed by TUNEL staining.Expression levels of internal control proteins were detected by Western blot,and total protein expression was detected by Coomassie Blue staining.Results Acute 8,24,and 72 h hypoxic models were successfully established in lung tissue,demonstrating consistent total protein expression and stable levels of the internal reference proteins vinculin,α-tubulin,EIF5,andβ-actin.GAPDH expression was elevated in the HH8 h,HH24 h,and HH72 h groups compared with the normoxia(Nor)group,but only the increase at HH72 h groups was significant.Similarly,8,24,and 48 h hypoxic models were successfully established in BEAS-2B cells and HUVECs,with consistent total protein expression.In BEAS-2B cells,expression levels of the internal reference proteins β-actin and GAPDH were consistent with the normoxic control(NC)group,while vinculin,α-tubulin,and EIF5 expression levels were significantly reduced under hypoxic conditions for up to 24 h.In HUVECs,vinculin and α-tubulin expression levels were also consistent with the NC group,while EIF5,β-actin,and GAPDH expression levels were significantly reduced at 8 h and increased at 48 h.Conclusions Acute hypoxia induces lung tissue injury,and protein expression levels of the internal reference proteins vinculin,α-tubulin,EIF5,and β-actin are stable,making them suitable internal references for Western blot.Additionally,Western blot detected differential expression levels of the internal reference proteins vinculin,α-tubulin,EIF5,β-actin,and GAPDH in BEAS-2B cells and HUVECs,as the most important in vitro lung tissue models of hypoxia-induced injury.

Objective:To analyze the clinical and ultrasonic features of breast invasive ductal carcinoma in young women patients,and improve the accuracy of ultrasonic diagnosis of breast invasive ductal carcinoma in young patients.Methods:A retrospective study was conducted on patients with invasive ductal carcinoma who underwent surgery in the Second Hospital of Shandong University from December 2015 to June 2023,with complete clinical data,preopera-tive ultrasonography and postoperative pathology.All patients were divided into two groups:young group(≤35 year-old)and control group(>35 year-old).Univariate t-test and multivariate Logistic regression analyses were used to assess the factors.Results:There was a statistical difference between the young group and the control group in the accuracy of ultrasound diagnosis(young group 81%vs control group 94%,χ2=13.082,P=0.001).Compared with the control group,the young group had a shorter disease history,a higher proportion of multiple masses,posterior echo changes and hypo-vascular lesions(P<0.05).However,there was no statistical difference in family history of breast cancer,other cancer family history,clinical symptoms,size,lesion classification,palpation,location,aspect ratio,focus echo,shape,edge per-formance,bright ring sign,calcification characteristics,ER,PR,HER-2 and Ki67(P>0.05).Conclusion:The incidence rate of young breast IDC is low,while the misdiagnosis rate of ultrasound is relatively high.More attention should be paid when the patient has a short history,multiple masses,changes in the posterior echo and less lesion blood supply.

Objective To observe the value of non-contrast CT radiomics for predicting recurrence of acute pancreatitis(AP).Methods Totally 356 patients with first-episode AP were retrospectively enrolled.The patients were categorized into recurrence group(n=78)and non-recurrence group(n=278)based on whether recurrence after 3 months of complete/near disappearance of symptoms,also divided into training set(n=213)and test set(n=143)at the ratio of 6∶4.For 116 cases who underwent contrast-enhanced CT,taken portal venous phase images as references,ROI of pancreatic parenchyma was manually delineated on non-contrast CT,while SegResNet segmentation model was used for automatic segmentation on non-contrast CT images for the rest 240 cases.The optimal radiomics features were extracted and selected to construct a radiomics model based on YeoJohnson transformer and Bagging decision tree.The receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of the obtained model for predicting AP recurrence.Results Totally 2 264 radiomics features were extracted from ROI of pancreatic parenchyma,and finally 4 optimal features were screened.The AUC of radiomics model for predicting recurrence was 0.887 and 0.889 in training set and test set,respectively.Conclusion Non-contrast CT radiomics could be used to effectively predict recurrence of AP.