ObjectiveTo investigate the mechanism by which Xiebai San regulates respiratory tract and intestinal mucosal immunity in rats with allergic asthma. MethodsForty male SD rats were randomly divided into four groups based on body weight: control group, model group, positive control group, and Xiebai San group. The model group, positive control group, and Xiebai San group were sensitized with ovalbumin to establish a rat model of allergic asthma. From day 21 (the aerosol challenge phase), each group received daily gavage interventions simultaneously: the positive control group was administered dexamethasone (0.068 mg/kg), the Xiebai San group received Xiebai San solution (2 g/mL, 11.3 mL/kg), while the control and model groups were given an equal volume of normal saline, once daily for 14 consecutive days. After euthanasia, lung and intestinal tissues were collected. Hematoxylin and eosin staining was used to observe histopathological changes. Transmission electron microscopy was employed to examine tissue ultrastructure. Immunohistochemistry was applied to detect the positive reaction areas of phosphatidyl-inositol 3-kinase (PI3K) and protein kinase B (Akt) proteins. Total protein and total RNA were extracted from lung and intestinal tissues, then the protein and mRNA expression levels of PI3K and Akt genes were detected by Western blotting and real-time quantitative PCR, respectively. ResultsHistopathological results showed alveolar emphysema accompanied by inflammatory cell infiltration, and intestinal mucosal injury with inflammatory cell infiltration in the model group as compared with the control group; the cellular structure of lung tissues was disrupted in the model group, with reduced organelles, while the ultrastructural lesions in the intestine were relatively mild. Compared with the model group, Xiebai San group exhibited milder pathological changes in lung tissues, with occasional alveolar wall damage and a small amount of inflammatory cell infiltration; the intestinal mucosal structure was improved, glands were arranged regularly, and pathological changes such as tissue loosening and inflammatory infiltration were alleviated; the cellular structure of lung tissues was relatively intact with reduced severity of lesions, and no ultrastructural pathological changes were observed in intestinal tissues. Immunohistochemistry and Western blotting results showed that compared with the control group, the specific positive reaction areas of PI3K and Akt in lung and intestinal tissues were significantly increased in the model group (all P<0.001); meanwhile, the protein expression levels of PI3K and Akt were significantly upregulated (all P<0.05). Compared with the model group, the positive area of Akt protein in lung tissue was significantly reduced in the Xiebai San group (P<0.001), and the positive area of PI3K in intestinal tissue was also significantly decreased (P<0.000 1). Additionally, the protein expression levels of PI3K and Akt in lung and intestinal tissues were significantly downregulated (all P<0.01). Real-time quantitative PCR results showed that compared with the control group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly elevated in the model group (all P<0.05). Compared with the model group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly reduced in the Xiebai San group (all P<0.05). ConclusionXiebai San exerts protective effects on rats with allergic asthma by inhibiting the expression of key nucleic acids and proteins in the PI3K-Akt signaling pathway in lung and intestinal tissues, improving the morphological structure of lung tissue, and maintaining intestinal mucosal integrity, and regulating intestinal mucosal immune function.

ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis （RA） patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction （补肾治尪汤， BZD） based on metabolomics. MethodsA prospective cohort study was conducted， enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs （csDMARDs） for 12 months. Clinical data were collected， and the change in disease activity score in 28 joints （DAS28） after treatment compared with baseline （△DAS28） was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator （LASSO） regression were used to preliminarily screen differential metabolites， followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination， a novel metabolite index， namely the metabolomics-based inflammatory remission score （Met-IRS）， was calculated using standar-dized metabolite values， and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS， and the model performance was assessed. ResultsAmong the 60 patients， those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group， while those with △DAS28 ＜ 0.27 were assigned to the low inflammatory remission group， with 30 cases in each group. Compared to the low inflammatory remission group， the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor （RF） （P＜0.05）. Seven core metabolites were identified as the optimal combination， including mangiferic acid， fatty acid-hydroxy fatty acid ester 40∶6， fatty acid-hydroxy fatty acid ester 18∶0， fatty acid-hydroxy fatty acid ester 36∶1， glucosylceramide， lysophosphatidylcholine 22∶5， and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group， and was positively correlated with high inflammatory remission outcomes （P＜0.05）. Based on the variables Met-IRS， methotrexate use， leflunomide use， and RF positivity， a clinical prediction model for inflammatory remission in RA treatment （Cj-RTRM） was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability， with an area under the receiver operating characteristic curve （AUC） of 0.880， sensitivity 0.967， specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring， targeted management， and identification of populations with advantages in traditional Chinese medicine.

Purpose To identify the distinct MRI findings of gastric-type endocervical adenocarcinoma(GEA)that can help differentiate it from usual-type endocervical adenocarcinoma(UEA)and reveal the radiologic-pathologic correlation.Materials and Methods All consecutive patients with cervical GEA(27 cases)and UEA(45 cases)treated at Shanghai First Maternity and Infant Hospital from January 2015 to August 2023 were included retrospectively.All patients underwent enhanced pelvic MRI examination.The clinical characteristics,tumor location,tumor shape,presence and size of cysts,and presence of hydrometra were evaluated between the two groups.Results The clinical characteristics included vaginal discharge in 12 cases of GEA and one case of UEA,vaginal bleeding in seven cases of GEA and 28 cases of UEA(P=0.048).Additionally,there were two cases of Peutz-Jeghers syndrome in GEA.Among the 27 GEA cases,the lesion was in the upper cervix in nine cases and involved the entire cervix in 16 cases;among the 45 UEA cases,the lesions were in the upper,lower and entire cervix in 12,29 and four cases,respectively(P=0.023).Regarding the tumor growth pattern,in the GEA group,there were nine cases of mass-forming growth pattern and 18 cases of diffuse infiltrative pattern;in the UEA group,there were 35 cases of mass-forming growth pattern and ten cases of diffuse infiltrative pattern,with a statistically significant difference(χ2=10.718,P=0.014).In 27 GEA cases,14 cases had observed intrauterine fluid,while in 45 UEA cases,eight cases had observed intrauterine fluid(χ2=12.657,P=0.002).Among the GEA cases,five had no cysts,12 had microcysts and ten had macrocysts;among the UEA cases,14 had no cysts,31 had microcysts and macrocysts were not observed(P=0.001).The maximum diameter of the GEA masses was(4.030±0.375)cm,and that of UEA masses was(2.315±0.769)cm,with a statistically significant difference(t=7.134,P<0.001).Conclusion By integrating multiple MRI features of the diffuse infiltrative growth pattern(such as the predominant location in the upper or entire cervix,frequent association with uterine cavity effusion or larger cysts,and a maximum mass diameter≥4 cm),it aids in distinguishing GEA from UEA.

The number of patients with eye diseases in China is enormous,and the negative effects of these conditions,such as impaired visual function,psychological burdens,and restricted social participation,are becoming increasingly severe.Due to the limited and unevenly distributed ophthalmic resources,and the significant limitations of traditional diagnostic and therapeutic approaches in terms of accuracy and efficiency,there is an urgent need for more sensitive and efficient modalities.With the rapid advancement of artificial intelligence technology,ophthalmic diagnosis has entered a new stage of intelligent transformation.Facial photos,as a noninvasive and convenient medium,show unique advantages in eye disease diagnosis.Artificial intelligence systems based on facial photo analysis have been applied to the screening and diagnosis of conditions such as myopia,strabismus,ptosis,and thyroid eye disease,showing promising results.This review introduces the workflow of intelligent diagnosis for ocular diseases based on facial photographs,with a focus on recapitulating relevant research findings both domestically and internationally in recent years.It summarizes the innovative features and application advantages of intelligent diagnosis systems for eye diseases based on facial photos,analyzes the current technical bottlenecks and challenges in application,proposes corresponding countermeasures,and discusses future development directions,aiming to provide references and new insights for the intelligent screening and diagnosis of eye diseases.

Diabetic retinopathy(DR),as one of the most common microvascular complications in patients with diabe-tes mellitus(DM),has a complex and multifaceted etiology that involves multiple factors.The unique characterization of DR in genomics,epigenomics,transcriptomics,proteomics,and metabolomics has opened new avenues for the exploration and development of novel therapeutic strategies for this disease.However,the inherent limitation of single-omics approa-ches is that they can only analyze the biological and molecular mechanisms underlying the disease from a single dimension,which makes it difficult to comprehensively capture the complex nature of DR.With the rapid advancement of high-throughput sequencing technology,multi-omics joint analysis combines the advantages of different histological techniques and can explore the pathogenesis of DR from multiple dimensions and levels.This paper aims to comprehensively review the latest progress of multi-omics technologies in revealing the pathogenesis of DR and its complex molecular mechanisms and thoroughly explore the new opportunities,current challenges,and future development prospects of multi-omics tech-nologies for DR research.

Diabetic retinopathy(DR),as one of the most common microvascular complications in patients with diabe-tes mellitus(DM),has a complex and multifaceted etiology that involves multiple factors.The unique characterization of DR in genomics,epigenomics,transcriptomics,proteomics,and metabolomics has opened new avenues for the exploration and development of novel therapeutic strategies for this disease.However,the inherent limitation of single-omics approa-ches is that they can only analyze the biological and molecular mechanisms underlying the disease from a single dimension,which makes it difficult to comprehensively capture the complex nature of DR.With the rapid advancement of high-throughput sequencing technology,multi-omics joint analysis combines the advantages of different histological techniques and can explore the pathogenesis of DR from multiple dimensions and levels.This paper aims to comprehensively review the latest progress of multi-omics technologies in revealing the pathogenesis of DR and its complex molecular mechanisms and thoroughly explore the new opportunities,current challenges,and future development prospects of multi-omics tech-nologies for DR research.

With the holistic concept of traditional Chinese medicine(TCM)as the foundation,Professor ZHOU Yunfeng proposes the three-part Tuina(Chinese therapeutic massage)manipulation to treat insomnia by"taking the head and brain as the essential and simultaneously regulating the abdomen and back".Taking the theories of Ying-nutrient and Wei-defensive Qi,Zang-Fu organs,and meridians as evidence,this method primarily regulates the mind and concurrently modulates Zang-Fu organs.The three-part Tuina manipulation regulates the spirit by grasping the five meridians(Governor Vessel,Bladder Meridian of Foot Taiyang,and Gallbladder Meridian of Foot Shaoyang)and stimulating points such as Baihui(GV20),Yintang(GV29),Taiyang(EX-HN5),and Shenting(GV24);it regulates the abdomen by selecting Zhongwan(CV12),Shenque(CV8),Qihai(CV6),and Guanyuan(CV4),which means to calm the mind by regulating spleen-stomach Qi activities;it treats the back by selecting Jianjing(GB21),Xinshu(BL15),Pishu(BL20),Weishu(BL21),and Shenshu(BL23),which means to calm the mind by regulating Qi activities of the whole body.Mind regulation runs through the whole process of this manipulation,which combines points from three body regions to produce a synergistic effect,concurrently treating the three body parts,i.e.,the head,abdomen,and back,to mitigate the clinical symptoms and improve sleep quality in insomniacs.

In recent years, targeted PET imaging of chemokine CXC subfamily receptor 4 (CXCR4) has become a prominent area of research, offering considerable potential for precise diagnosis, tracking disease progression noninvasively, guiding therapeutic strategies, and monitoring treatment responses. This article reviews recent achievements in noninvasive molecular imaging techniques targeting CXCR4 expression, with a particular focus on the pathophysiological mechanisms underlying CXCR4 and the clinical utility of the molecular probe 68Ga-pentixafor PET for diagnosis and treatment. Furthermore, the paper discusses the clinical translation of CXCR4 molecular imaging and highlights prospective research directions.

Objective To investigate the expression of regional cerebral oxygen saturation(rSO2)in preterm infants with brain injury(BIPI)and its relationship with amplitude-integrated electroencephalogram(aEEG)parameters and neurodevelopment.Methods Retrospectively,116 cases of BIPI(Bilateral Intra-ventricular Perforation)born in the hospital between February 2022 and February 2023 were selected as the study subjects.According to the Expert Consensus on the Diagnosis and Prevention of Premature Infant Brain Injury,these cases were categorized into mild,moderate,and severe groups,with 59,35,and 22 cases,respectively.The study compared the general characteristics of premature infants with different brain injury levels.Regression analysis was conducted to identify the factors affecting brain injury in premature infants,and correlation analyses were performed on aEEG scores,rSO2,and GMS scores.ROC curve analysis was used to evaluate the value of combining brain oxygen saturation monitoring with aEEG in predicting abnormal whole-body motor quality assessment.Results On the 3rd and 7th days after birth,severe brain-injured premature infants had significantly lower rSO2 and aEEG scores compared to those with mild and moderate brain injuries(P<0.05).At 7 days,these infants also had lower scores for graph continuity,sleep-wake cycles,lower boundary amplitude,bandwidth,total score,rSO2,gestational age,and birth weight,and a higher proportion of abnormal developmental outcomes(PR+CS)(P<0.05).Multivariate logistic regression analysis revealed that the 3-day aEEG total score(OR=0.448,95％CI:0.094～0.890),7-day aEEG total score(OR=0.384,95％CI:0.058～0.726),3-day rSO2(OR=0.574,95％CI:0.398～0.750),and 7-day rSO2(OR=0.431,95％CI:0.115～0.777)were all protective factors for brain injury in premature infants,P<0.05.Correlation analysis showed that brain oxygen saturation was negatively correlated with aEEG scores and overall motor quality.The prediction value for abnormal overall motor quality using 7-day rSO2,aEEG,and the combination of 7-day rSO2 and 7-day aEEG scores was as follows:the positive predictive value for rSO2 was 86.46％,the negative predictive value was 96.85％,the sensitivity was 92.31％,the specificity was 92.21％,and the cut-off value was 0.845;The positive predictive value(PPV)of aEEG was 78.26％,the negative predictive value(NPV)was 96.86％,the sensitivity was 89.74％,and the specificity was 92.21％,with a cut-off value of 0.820.The positive predictive value(PPV)of 7-day rSO2 combined with 7-day aEEG score was 89.04％,the NPV was 96.88％,the sensitivity was 94.90％,and the specificity was 93.51％,with a cut-off value of 0.884,P<0.05.ROC curve analysis showed that the AUC of 7-day rSO2+7-day aEEG score was 0.895,De-long test P<0.005,indicating high predictive value for overall exercise quality.Conclusion Combined with rSO2 and EEG,the prediction of overall motor quality is better,which may have clinical value for excluding high-risk children.

Objective To evaluate the impact of lens capsule diameter and capsular tension ring(CTR)fit on the ro-tational stability and visual function of Toric intraocular lenses(IOLs)in patients with high myopia cataract after surgery,and to explore the main influencing factors.Methods A prospective study included 100 eyes of patients with high myopia(axial length≥26 mm)who underwent phacoemulsification cataract extraction combined with Toric IOL implantation at the Cataract Department of Hebei Eye Hospital from September 2023 to March 2024.Based on the ratio of the capsule equivalent diameter measured by anterior segment OCT(CASIA2)to the standard diameter of CTR,the eyes were divided into the matched group(ratio of 0.8-1.2)and the unmatched group.Follow-up was conducted at 1 week,1 month,3 months,6 months,and 12 months postoperatively to observe the rotation angle of Toric IOL,residual astigmatism,uncor-rected visual acuity,and other indicators.Safety was assessed based on intraoperative and postoperative complications.Correlation analysis and multiple linear regression were used to explore the impact of capsule-CTR fit,corneal astigmatism,axial length,and other factors on Toric IOL rotation and postoperative refractive status.Results The mean IOL rotation angle at each postoperative time point in the matched group was significantly smaller than that in the unmatched group,with statistically significant differences between groups at different time points(all P＜0.05).The matched group showed better stability in IOL decentration distance and tilt angle.At 12 months postoperatively,the residual astigmatism in the matched group was(0.53±0.29)D,which was better than that in the unmatched group(0.71±0.34)D(P=0.08).The matched group also had more significant improvement in uncorrected visual acuity and higher subjective visual quality scores.Multiple linear regression analysis showed that capsule-CTR fit and preoperative corneal astigmatism were the main independent factors affecting the rotation angle of Toric IOL(R2=0.52)and residual astigmatism(R2=0.46).Conclu-sion For patients with high myopia cataract,precise capsule-CTR matching based on CASIA2 measurement helps improve the rotational stability of Toric IOLs,reduce residual astigmatism,and enhance postoperative visual quality.Personalized CTR model selection is worth promoting and applying.