ObjectiveMicrotube associated protein-2 （MAP-2）， alpha-tubulin （α-tubulin）， and synaptophysin （SYP） are important proteins in neuronal signal communication. This paper observed the effects of modified Zhigancao Tang on the expression of serum α-Synuclein （α-Syn） and its oligomers， MAP-2， α-tubulin， and SYP of patients with liver and kidney deficiency of Parkinson's disease （PD）， analyzed their correlation， and evaluated the therapeutic effect of modified Zhigancao Tang in patients with liver and kidney deficiency of PD based on α-Syn transmission pathway mediated by neuronal communication in vivo. MethodsA total of 60 patients with PD who met the inclusion criteria were randomly divided into a treatment group （30 cases） and a control group （30 cases）. Both groups were treated on the basis of PD medicine， and the treatment group was treated with modified Zhigancao Tang. Both groups were treated for 12 weeks. The changes in UPDRS score， TCM syndrome score， and expression of serum α-Syn and its oligomers， MAP-2， α-tubulin， and SYP were observed before and after 12 weeks of treatment in each group. The correlation between the above-mentioned serum biological indexes and the levels of serum α-Syn and its oligomers was analyzed. ResultsAfter treatment， the TCM syndrome score， UPDRS score， UPDRS-Ⅱ score， and UPDRS-Ⅲ score of the treatment group were significantly decreased （P<0.05， P<0.01）. The UPDRS score， UPDRS-Ⅱ score， and UPDRS-Ⅲ scores in the treatment group were significantly decreased compared with those in the control group after treatment （P<0.05）. After treatment， the total effective rate of the control group was 63.3% （19/30）， and that of the treatment group was 86.7% （26/30）. The clinical effect of the observation group was better than the control group （Z=-2.03， P<0.05）. The total effective rate of the observation group was better than that of the control group， and the difference was statistically significant （χ²=5.136， P<0.05）. After treatment， the oligomer level of serum α-Syn and MAP-2 level in the treatment group were significantly decreased （P<0.05， P<0.01）. The levels of serum α-Syn and its oligomers， as well as α-tubulin in the treatment group， were significantly decreased compared with those in the control group after treatment （P<0.05， P<0.01）. Serum α-Syn was correlated with serum MAP-2 and α-Syn oligomer in patients with PD （P<0.05， P<0.01） but not correlated with serum SYP . Serum α-Syn oligomers of patients with PD were correlated with serum MAP-2 and α-tubulin （P<0.05， P<0.01） but not correlated with serum SYP level. Serum SYP of patients with PD was correlated with serum MAP-2 （P<0.05）. ConclusionModified Zhigancao Tang has a therapeutic effect on patients with liver and kidney deficiency of PD by inhibiting the production of α-Syn oligomers and intervening α-Syn microtubule transport pathway in vivo.

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

OBJECTIVE: To investigate the role and mechanism of the cyclic guanosine monophosphate-adenosine monophosphate synthase/stimulator of interferon gene (cGAS/STING) pathway in oleic acid-induced acute lung injury (ALI) in mice. METHODS: Male wild-type C57BL/6J mice were randomly divided into five groups (each n = 10): normal control group, ALI model group, and 5, 50, 500 μg/kg inhibitor pretreatment groups. The ALI model was established by tail vein injection of oleic acid (7 mL/kg), while the normal control group received no intervention. The inhibitor pretreatment groups were intraperitoneally injected with the corresponding doses of cGAS inhibitor RU.521 respectively 1 hour before modeling. At 24 hours post-modeling, blood was collected, and mice were sacrificed. Lung tissue pathological changes were observed under light microscopy after hematoxylin-eosin (HE) staining, and pathological scores were assessed. Western blotting was used to detect the protein expressions of cGAS, STING, phosphorylated TANK-binding kinase 1 (p-TBK1), phosphorylated interferon regulatory factor 3 (p-IRF3), and phosphorylated nuclear factor-κB p65 (p-NF-κB p65) in lung tissue. Immunohistochemistry was performed to observe STING and p-NF-κB positive expressions in lung tissue. Serum interferon-β (IFN-β) levels were measured by enzyme-linked immunosorbent assay (ELISA). RESULTS: Compared with the normal control group, the ALI model group exhibited significant focal alveolar thickening, intra-alveolar hemorrhage, pulmonary capillary congestion, and neutrophil infiltration in the pulmonary interstitium and alveoli, along with markedly increased pathological scores (10.33±0.58 vs. 1.33±0.58, P < 0.05). Protein expressions of cGAS, STING, p-TBK1, p-IRF3, and p-NF-κB p65 in lung tissue significantly increased [cGAS protein (cGAS/β-actin): 1.24±0.02 vs. 0.56±0.02, STING protein (STING/β-actin): 1.27±0.01 vs. 0.55±0.01, p-TBK1 protin (p-TBK1/β-actin): 1.34±0.03 vs. 0.22±0.01, p-IRF3 protein (p-IRF3/β-actin): 1.23±0.02 vs. 0.36±0.01, p-NF-κB p65 protein (p-NF-κB p65/β-actin): 1.30±0.02 vs. 0.53±0.02, all P < 0.05], positive expressions of STING and p-NF-κB in lung tissue were significantly elevated [STING (A value): 0.51±0.03 vs. 0.30±0.07, p-NF-κB (A value): 0.57±0.05 vs. 0.31±0.03, both P < 0.05], and serum IFN-β levels were also significantly higher (ng/L: 256.02±3.84 vs. 64.15±1.17, P < 0.05). The cGAS inhibitor pretreatment groups showed restored alveolar structural integrity, reduced inflammatory cell infiltration, and decreased hemorrhage area, along with dose-dependent lower pathological scores as well as the protein expressions of cGAS, STING, p-TBK1, p-IRF3 and p-NF-κB p65 in lung tissue, with significant differences between the 500 μg/kg inhibitor group and ALI model group [pathological score: 2.67±0.58 vs. 10.33±0.58, cGAS protein (cGAS/β-actin): 0.56±0.03 vs. 1.24±0.02, STING protein (STING/β-actin): 0.67±0.03 vs. 1.27±0.01, p-TBK1 protein (p-TBK1/β-actin): 0.28±0.01 vs. 1.34±0.03, p-IRF3 protein (p-IRF3/β-actin): 0.32±0.01 vs. 1.23±0.02, p-NF-κB p65 protein (p-NF-κB p65/β-actin): 0.63±0.01 vs. 1.30±0.02, all P < 0.05]. Compared with the ALI model group, positive expressions of STING and p-NF-κB in lung tissue were significantly reduced in the 500 μg/kg inhibitor group [STING (A value): 0.40±0.01 vs. 0.51±0.03, p-NF-κB (A value): 0.43±0.02 vs. 0.57±0.05, both P < 0.05], and serum IFN-β levels were also markedly reduced (ng/L: 150.03±6.19 vs. 256.02±3.84, P < 0.05). CONCLUSIONS The cGAS/STING pathway is activated in oleic acid-induced ALI, leading to exacerbated inflammatory responses and increased lung damage. RU.521 can inhibit cGAS, thereby down-regulating the expression of pathway proteins and cytokines, and providing protection to lung tissue.
Animals ; Acute Lung Injury/chemically induced* ; Male ; Nucleotidyltransferases/metabolism* ; Mice ; Signal Transduction ; Mice, Inbred C57BL ; Membrane Proteins/metabolism* ; Oleic Acid/adverse effects* ; Transcription Factor RelA/metabolism* ; Lung/pathology* ; Interferon Regulatory Factor-3/metabolism* ; Disease Models, Animal

AIM:To observe the different effects of three intervention approaches on related biometric parameters in children diagnosed with latent myopia, and to investigate different control effects on children with latent myopia.METHODS:Prospective cohort concurrent controls trials. A total of 60 cases(120 eyes)of children who were initially diagnosed as latent myopia and untreated previously at ophthalmology clinic of the Affiliated Hospital of Chengde Medical University from December 2021 to May 2022 were recruited. They were randomly divided into three groups, with 20 cases(40 eyes)in group A treated with 0.01% Atropine eye drops, 20 cases(40 eyes)in group B treated with vision training with a flip chart, and 20 cases(40 eyes)in group C treated with esculin and digitalis glycosides eye drops. They were followed-up for 12 mo, and the spherical equivalent(SE), axial length(AL), corneal curvature(CC), accommodative facility(AF), and macular retinal thickness of the three groups of children were compared at 6 and 12 mo post-intervention.RESULTS:Significant statistical differences were found in AL, SE and AF of the three groups of children at 6 and 12 mo(all P<0.05), and there were significant differences between 6 and 12 mo after the intervention(all P<0.05). SE and AF in the group B and C were higher than those in the group A(all P<0.05). However, there were no significant differences in CC before and after the intervention(all P>0.05). The retinal thickness of the temporal, nasal, inferior and macular fovea of the outer ring at 6 and 12 mo after intervention in the three groups was significantly different from that at the initial diagnosis(all P<0.05), and there was significant difference between 6 mo and 12 mo after intervention(all P<0.05). There was no significant difference in the retinal thickness of the other macular areas among the three groups before and after intervention(all P>0.05).CONCLUSION:When it comes to preventing and controlling myopia, 0.01% Atropine is more effective than flip chart training and esculin and digitalis glycosides eye drops. Therefore, the administration of 0.01% atropine and the implementation of flip chart training can effectively slow down the advancement of latent myopia.

Objective To analyze the relationship between the expression levels of pyruvate dehydro-genase kinase 1(PDK 1)and Ki-67 with the survival and prognosis of the patients with ovarian serous carci-noma(OSC).Methods The cancer tissues of 93 patients with OSC treated by surgery in this hospital from January 2000 to June 2020 were collected,and the expression levels of PDK1 and Ki-67 in the tissues were de-tected by immunohistochemistry.The relationship between the expression levels of PDK1 and Ki-67 with the clinicopathological characteristics of the patients with OSC was analyzed by the single factor and binary logis-tic regression model.The relationship between the PDK1 and Ki-67 expression levels with the recurrence and platinum resistance within 3 years was analyzed.The Kaplan-Meier survival curve was adopted to analyze the effect of PDKI and Ki-67 expression levels on the survival and prognosis in the patients with OSC.Results The expression levels of PDK1 and Ki-67 were related with the International Federation of Gynecology and Obstetrics(FIGO)stage,tissue differentiation level,lymphatic metastasis,ascites formation and positive asci-tes(P＜0.05).The high expression of PDK1 was a risk factor for the late FIGO stage(Ⅲ-Ⅳ),lymphatic metastasis and ascites positive in the patients with OSC(P＜0.05);the high expression of Ki-67 was a risk factor for the late FIGO stage(Ⅲ-Ⅳ)and ascites formationin in the patients with OSC(P＜0.05).The re-currence rate and platinum resistance rate within 3 years in the patients with PDKi and Ki-67 high expressions were significantly higher than those in the patients with low expressions(P＜0.05).The progression-free survival(PFS),overall survival(OS)and 5-year survival rate in the patients with high PDK1 and Ki-67 ex-pressions were significantly lower than those in the patients with low expressions(P＜0.05).Conclusion The expression levels of PDK 1 and Ki-67 play an important role in judging the survival and prognosis of the patients with OSC.

Objective:To observe the effects of electroacupuncture(EA)on gut microbiota and serum inflammatory factors interleukin(IL)-1β and tumor necrosis factor(TNF)-α in Crohn disease(CD)model rats. Methods:Thirty-six Sprague-Dawley rats were randomly divided into a normal control(NC)group with 10 rats and a modeling group with 26 rats.In the modeling group,the CD rat model was prepared with 2,4,6-trinitrobenzene sulfonic acid(TNBS)enema.After successful modeling,the rats were randomly divided into a CD model(CD)group,an EA group,and a Western medicine(WM)group.The NC and CD groups received no treatment;the EA group was treated with EA for 20 min each time,with 7 consecutive days'intervention;the WM group received mesalazine enteric-coated tablet solution by gavage once a day for 7 d.The changes in body mass and disease activity index(DAI)were observed.Serum IL-1β and TNF-α were determined by enzyme-linked immunosorbent assay.Hematoxylin-eosin staining was used to observe the pathological changes of colon tissues,and 16S rDNA sequencing was used to analyze the structural changes of gut microbiota. Results:Compared with the NC group,the body mass of rats in the CD group decreased(P<0.01),and the DAI score increased(P<0.01);the colon tissue structure was disordered,and many inflammatory cells were present;also,IL-1β and TNF-α increased significantly(P<0.01).As a result,the diversity of gut microbiota decreased,and the abundance of some conditional pathogenic bacteria(such as Prevotella)increased,while the abundance of beneficial bacteria(such as Lactobacillus,Rochella,and Spirillum)decreased.After the intervention,compared with the CD group,the body mass of rats in the EA group and WM group increased(P<0.01);the DAI score decreased(P<0.01),the colon tissue structure improved,and the IL-1β and TNF-α levels decreased(P<0.01);the diversity of gut microbiota increased(P<0.05),and the abundance of some conditional pathogenic bacteria decreased while the abundance of beneficial bacteria increased in the EA group;whereas the diversity of gut microbiota in the WM group was not statistically different(P>0.05). Conclusion:EA can reduce the damage of colon mucosa,regulate the imbalance of gut microbiota,and inhibit the serum inflammatory factor IL-1β and TNF-α expression in CD rats.

Based on the principle of molecular hybridization, fifteen compounds were designed and synthesized through the combination of aminothiazoloxime and phosphonate fragment. The results showed that these compounds had better inhibitory effects on the tested bacteria. In particular, the activities of compounds Ⅲf and Ⅲi against S. aureus, E. coli, methicillin-resistant S. aureus (MRSA) and fluoroquinolone-resistant E. coli (FREC) were the most significant, the minimal inhibitory concentration (MIC) of Ⅲf was 1, 8, 4, 16 μg·mL^-1 respectively, and the MIC of Ⅲi was 4, 4, 16, 8 μg·mL^-1 respectively, which were slightly lower than that of the control drug oxacillin, and their anti-E. coli, MRSA and FREC activities were superior to that of the control drug oxacillin. Their activities to S. aureus were close to that of oxacillin, and to E. coli, MRSA and FREC were superior to that of oxacillin, which is worthy of further study.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To analyze the clinical features and genetic etiology of 17 Chinese pedigrees affected with X-linked intellectual disability (XLID).Methods:Seventeen pedigrees affected with unexplained intellectual disability which had presented at Henan Provincial People′s Hospital from May 2021 to May 2023 were selected as the study subjects. Clinical data of the probands and their pedigree members were collected. Trio-whole exome sequencing (Trio-WES), Sanger sequencing and X chromosome inactivation (XCI) analysis were carried out. Pathogenicity of candidate variants was predicted based on the guidelines from the American College of Medical Genetics and Genomics and co-segregation analysis.Results:The 17 probands, including 9 males and 8 females with an age ranging from 0.6 to 8 years old, had all shown mental retardation and developmental delay. Fourteen variants were detected by genetic testing, which included 4 pathogenic variants ( MECP2: c. 502C>T, MECP2: c. 916C>T/c.806delG, IQSEC2: c.1417G>T), 4 likely pathogenic variants ( MECP2: c. 1157_1197del/c.925C>T, KDM5C: c. 2128A>T, SLC6A8: c. 1631C>T) and 6 variants of uncertain significance ( KLHL15: c. 26G>C, PAK3: c. 970A>G/c.1520G>A, GRIA3: c. 2153C>G, TAF1: c. 2233T>G, HUWE1: c. 10301T>A). The PAK3: c.970A>G, GRIA3: c. 2153C>G and TAF1: c. 2233T>G variants were considered as the genetic etiology for pedigrees 12, 14 and 15 by co-segregation analysis, respectively. The proband of pedigree 13 was found to have non-random XCI (81: 19). Therefore, the PAK3: c. 1520G>A variant may underlie its pathogenesis. Conclusion:Trio-WES has attained genetic diagnosis for the 17 XLID pedigrees. Sanger sequencing and XCI assay can provide auxiliary tests for the diagnosis of XLID.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.