Diabetic retinopathy(DR)remains the leading cause of vision loss in patients with diabetes. Current anti-vascular endothelial growth factor(VEGF)therapies are limited by inadequate response in some patients and the necessity for repeated intravitreal injections, underscoring the urgent need for novel therapeutic targets. Angiopoietin-like protein 4(ANGPTL4), a multifunctional secreted protein, has emerged as a critical regulator in the pathogenesis and progression of DR, positioning it as a promising interventional target. This review systematically elaborates the biological characteristics of ANGPTL4, with a focus on its expression dynamics, molecular mechanisms, and regulatory networks rolesin the development of DR. Furthermore, the prospects of ANGPTL4-targeted therapeutic strategies are discussed, aiming to offer new insights and directions for understanding DR pathogenesis, advancing multi-target drug development, and improving clinical management.

ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.

Objective:To investigate the impact of geometric morphology and hemodynamic characteristics at the carotid bifurcation on the formation of ulcerated plaques based on CT angiography(CTA).Methods:This was a cross-sectional study. The clinical and imaging data of 71 patients with carotid bifurcation atherosclerotic plaques (stenosis≥50%) confirmed by cranial and cervical CTA at Tianjin TEDA Hospital from July 2020 to October 2023 were retrospectively analyzed. Patients were divided into an ulcerated plaque group (32 cases) and a non-ulcerated plaque group (39 cases) based on plaque ulceration status. The CTA technique was used to assess the geometric parameters of the carotid bifurcation [such as the bifurcation angle, the angle between the common carotid artery and internal carotid artery (CCA-ICA), the proximal curvature angle of the internal carotid artery (ICA), and the ratio of the maximum area at the carotid bifurcation to the initial area of the carotid artery (CCAMAX/CCA)] and plaque characteristic parameters [such as plaque area at the site of stenosis, maximum wall thickness, remodeling ratio, eccentricity index, and presence of calcification within plaques]. Quantitative analysis of hemodynamic parameters in the plaque region was performed using finite-element analysis software, including time-averaged wall shear stress (TAWSS), transverse wall shear stress (transWSS), relative residence time (RRT), and oscillatory shear index (OSI). Comparisons of parameters between the two groups were conducted using the Mann-Whitney U test or χ2 test, and multivariate logistic regression analysis was employed to identify independent geometric and plaque characteristic factors influencing the formation of ulcerated plaques. A combined model incorporating hemodynamic, geometric, and plaque characteristic parameters was developed, and the efficacy of this combined model in predicting ulceration formation at the carotid bifurcation was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:The bifurcation angle, CCA-ICA angle, proximal ICA curvature angle, CCAMAX/CCA ratio, presence of calcification within plaques, plaque area at the site of stenosis, and maximum wall thickness exhibited statistically significant differences between the ulcerated plaque group and the non-ulcerated plaque group ( P<0.05). Logistic regression analysis showed that CCAMAX/CCA ( OR=6.452, 95% CI 1.541-27.015, P=0.011) and plaque area at the site of stenosis ( OR=1.048, 95% CI 1.015-1.124, P=0.011) were independent factors influencing the formation of ulcerated plaques at the carotid bifurcation. The maximum and mean values of RRT and OSI in the ulcerated plaque group were significantly higher than those in the non-ulcerated group ( P<0.05), while the maximum and mean values of transWSS and TAWSS were lower in the ulcerated group compared to the non-ulcerated group ( P<0.05). The AUC for the combined model predicting ulceration formation at the carotid bifurcation was 0.926. Conclusions:The CCAMAX/CCA ratio and plaque area at the site of stenosis at the carotid bifurcation are independent factors influencing the formation of ulcerated plaques. A model that combines geometric morphology and hemodynamic parameters can more effectively diagnose the formation of ulcerated plaques at the carotid bifurcation.

Objective:To investigate the impact of different CT reconstruction kernels on the quantitative analysis of small pulmonary vessels in patients with chronic obstructive pulmonary disease (COPD) and high-risk patients.Methods:This study was a cross-sectional study. Clinical and imaging data of 73 COPD and high-risk patients visiting the China-Japan Friendship Hospital between March and April 2024 were retrospectively analyzed. All patients underwent high-resolution CT of the chest and pulmonary function tests, with the ratio of forced expiratory volume in one second to forced vital capacity (FEV 1/FVC) obtained. The raw CT data were reconstructed using different kernels: the FC86 group used the adaptive iterative dose reduction(AIDR) 3D standard lung sharp reconstruction algorithm, the FC18 group used the AIDR 3D standard Body standard reconstruction algorithm, the advanced intelligent clear-IQ engine(AiCE) Lung group used the AiCE deep learning reconstruction algorithm for lung, and the AiCE Body group used the AiCE deep learning reconstruction algorithm for body. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image noise were calculated. The pulmonary vessel segmentation & Measurement software was used to segment and extract pulmonary arteries and veins of four groups in thin-slice whole-lung CT imaging, obtaining the ratio of small pulmonary arteries (%V artery<5) and the ratio of small pulmonary veins (%V vein<5). The One-way repeated measures ANOVA or Friedman test was used to compare the differences in SNR, CNR, image noise, %V artery<5, and %V vein<5 among the four groups, followed by Bonferroni post hoc or Bonferroni-Dunn test with P-value correction to analysis differences between subgroups. The correlations between %V artery<5 and FEV 1/FVC, as well as between %V vein<5 and FEV 1/FVC were analyzed using Spearman rank correlation analysis in all four groups. Results:The overall differences in image noise, SNR, and CNR in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). Except for the difference in CNR values between the AiCE Lung group and the FC18 group, which was not statistically significant ( P=0.192), all differences were statistically significant ( P<0.016 7). The overall differences in %V artery<5 values and %V vein<5 values in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). The %V artery<5 and %V vein<5 values in the FC18 group were lower than those in the AiCE Lung, AiCE Body, and FC86 groups ( P<0.016 7), and the rest of the differences were not statistically significant ( P>0.016 7). %V artery<5 and %V vein<5 were positively correlated with FEV 1/FVC in all 4 groups ( P<0.05), with the highest correlation coefficient between %V vein<5 and FEV 1/FVC in the AiCE Body group ( r=0.501, P=0.001). Conclusions:DLR-AiCE-based kernel reconstruction optimizes image quality and significantly affects the results of quantitative parameters of small pulmonary vessels. The reconstruction kernel prioritized for quantitative analysis of small vessels within the lungs in COPD based on the CT scanner in this study is AiCE Body.

Objective To explore the potential targets and pathways of Yanghe Decoction for the treatment of granulomatous lobular mastitis(GLM)using network pharmacology and molecular docking;To experimentally validate its mechanism.Methods Active components and targets of Yanghe Decoction were screened through TCMSP and TCM-ID.GLM targets were retrieved from GeneCards and OMIM databases,the intersection of drug targets and disease targets was taken,and a protein interaction network was constructed.GO and KEGG pathway enrichment analysis was performed.Molecular docking of main components and key targets was conducted.Totally 60 SD rats were randomly divided into blank group,model group,prednisolone group(0.005 g/kg),and Yanghe Decoction low-,medium-and high-dosage groups(2.5,5.0,10.0 g/kg).Except for the blank group,GLM models were constructed for all other groups,and corresponding drug interventions were given to each treatment group for 14 consecutive days.The body mass and breast mass size of rats were recorded,breast ultrasound images were collected,and the inflammatory index score was scored.The pathological morphology of rat breast tissue was observed through HE staining.ELISA was used to detect the contents of IL-1β,IL-6 and TNF-α in serum.Western blot was used to detect the protein expressions of IL-1β,IL-6,TNF-α,IκBα,TLR4 and p65 in breast tissue.Results Yanghe Decoction was screened for 140 active components,363 targets,and 32 intersecting targets with GLM,mainly involving NF-κB,PI3K-Akt signaling pathway,etc.Molecular docking showed that the main components had good binding activities with key targets.Compared with the blank group,rats in the model group showed obvious redness and swelling of the breasts with a large range of lumps and a significant increase in mammary inflammation index score(P<0.01),and ultrasound could detect a large range of patchy hypoechoic areas,and pathological changes showed a variety of inflammatory cell infiltration in the mammary lobules and the formation of tiny abscesses,and the serum contents of IL-1β,IL-6 and TNF-α in the model group significantly increased(P<0.01),the protein expressions of IL-1β,IL-6,TNF-α,TLR4 and p65 in breast tissue significantly increased(P<0.01),and the protein expression of IκBα significantly decreased(P<0.05).Compared with the model group,the erythema of the breasts of the rats in each treatment group was improved,and the extent of the lumps was reduced,and the reduction in the size of the lumps in the prednisolone group and the Yanghe Decoction high-dosage group was obvious(P<0.05).The inflammatory index score of prednisolone group and Yanghe Decoction groups decreased to different degrees(P<0.01),ultrasound showed a smaller range of hypoechoic area,pathology showed a reduction in the infiltration of inflammatory cells,and a reduction in the formation of granulomas and abscesses,and the prednisolone group and Yanghe Decoction groups significantly down-regulated the contents of IL-1β and TNF-α in serum(P<0.01),and the prednisolone group and Yanghe Decoction middle-and high-dosage groups significantly down-regulated the content of IL-6 in serum(P<0.05,P<0.01),the expression of TLR4 protein in breast tissue was significantly decreased in Yanghe Decoction high-dosage group(P<0.05),the expressions of IL-1β,IL-6,TNF-α and p65 proteins in prednisolone group and Yanghe Decoction groups were significantly decreased(P<0.05,P<0.01),and the expression of the protein of IκBα significantly increased(P<0.01).Conclusion Yanghe Decoction can reduce the inflammatory response in GLM rats,and its mechanism may be related to the inhibition of TLR4/NF-κB signalling pathway.

Objective:To translate the quality of life tool for patients with aplastic anaemia and paroxysmal nocturnal haemoglobinuria (QLQ-AA/PNH) into Chinese, and to test its reliability and validity.Methods:According to the scale translation principle, the Chinese version of QLQ-AA/PNH was formed through translation, back translation and cross-cultural adaptation. A cross-sectional survey method was used to conveniently select 58 patients with aplastic anemia who were treated in the hematology department of the Second Affiliated Hospital of Dalian Medical University from January 2018 to September 2023 for investigation, and to evaluate the reliability and validity of the scale.Results:The Chinese version of QLQ-AA/PNH retains 36 items, and 5 common factors (psychological status dimension, life burden dimension, physical condition dimension, illness anxiety dimension and other symptom dimension) were extracted through exploratory factor analysis. The cumulative variance contribution rate reached 71.33%, and the factor load of each entry was greater than 0.5 on corresponding common factors. The Cronbach α coefficient of the scale as a whole was 0.971, the broken half reliability coefficient was 0.985, the Cronbach α coefficient of each common factor was 0.637 to 0.954, and the broken half reliability coefficient was 0.637 to 0.930. Conclusions:The Chinese version of QLQ-AA/PNH has been proved to be valid and reliable. It is a valuable tool for evaluating the quality of life among patients with aplastic anaemia.

A case report of adult skeletal class Ⅲ patient with high angle open bite is presented in this article.The patient underwent extraction of bilateral mandibular first molars and straightening the third molars,open bite was resolved,normal over bite,over jet and good occlusion were established.

Objective To study the correlation between the middle ear transfer function and the tympanoscle-rosis locations and severities,via idealized finite element simulations of the fixation effects of different parts of the middle ear.Methods A finite element model was developed based on human middle ear histological data,and the air-conduction sound transmission was simulated for verification.Mimicking tympanosclerosis with different loca-tions by increasing the Young's modulus of related tissues,the changes in the middle ear transfer function under tympanic membrane,ligaments,and joint fixations were calculated.Results Limited hardening of eardrum did not influence the sound transmission(＜5 dB).Ligaments hardening(including the superior mallear ligament,superior incudal ligament,and the posterior incudal ligament)induced fixations of the ossicular chain and caused low-to-mid velocity drop down of the tympanic membrane umbo and the stapes footplate.The results indicated low-to-mid fre-quency hearing loss,about 40 dB when the ligaments were fully fixed.The sound transmission was not affected by incudomalleolar joint,a slightly high frequency improvement(0～6 dB)occurred when the incudostapedial joint got hardened.Significant low-to-mid frequency drop was found for the stapes footplate velocity in the case of otosclero-sis,while the velocity of tympanic membrane umbo was not significantly affected.Conclusion Tympanosclerosis in-fluences middle ear sound transferring by increasing the stiffness of the system,the effects are sensitive to tympano-sclerosis locations and severity.Moreover,as the hardened location approaches the stapes,the variations of tympan-ic membrane and stapes footplate movement can be quite different.

Objective:To investigate the impact of geometric morphology and hemodynamic characteristics at the carotid bifurcation on the formation of ulcerated plaques based on CT angiography(CTA).Methods:This was a cross-sectional study. The clinical and imaging data of 71 patients with carotid bifurcation atherosclerotic plaques (stenosis≥50%) confirmed by cranial and cervical CTA at Tianjin TEDA Hospital from July 2020 to October 2023 were retrospectively analyzed. Patients were divided into an ulcerated plaque group (32 cases) and a non-ulcerated plaque group (39 cases) based on plaque ulceration status. The CTA technique was used to assess the geometric parameters of the carotid bifurcation [such as the bifurcation angle, the angle between the common carotid artery and internal carotid artery (CCA-ICA), the proximal curvature angle of the internal carotid artery (ICA), and the ratio of the maximum area at the carotid bifurcation to the initial area of the carotid artery (CCAMAX/CCA)] and plaque characteristic parameters [such as plaque area at the site of stenosis, maximum wall thickness, remodeling ratio, eccentricity index, and presence of calcification within plaques]. Quantitative analysis of hemodynamic parameters in the plaque region was performed using finite-element analysis software, including time-averaged wall shear stress (TAWSS), transverse wall shear stress (transWSS), relative residence time (RRT), and oscillatory shear index (OSI). Comparisons of parameters between the two groups were conducted using the Mann-Whitney U test or χ2 test, and multivariate logistic regression analysis was employed to identify independent geometric and plaque characteristic factors influencing the formation of ulcerated plaques. A combined model incorporating hemodynamic, geometric, and plaque characteristic parameters was developed, and the efficacy of this combined model in predicting ulceration formation at the carotid bifurcation was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:The bifurcation angle, CCA-ICA angle, proximal ICA curvature angle, CCAMAX/CCA ratio, presence of calcification within plaques, plaque area at the site of stenosis, and maximum wall thickness exhibited statistically significant differences between the ulcerated plaque group and the non-ulcerated plaque group ( P<0.05). Logistic regression analysis showed that CCAMAX/CCA ( OR=6.452, 95% CI 1.541-27.015, P=0.011) and plaque area at the site of stenosis ( OR=1.048, 95% CI 1.015-1.124, P=0.011) were independent factors influencing the formation of ulcerated plaques at the carotid bifurcation. The maximum and mean values of RRT and OSI in the ulcerated plaque group were significantly higher than those in the non-ulcerated group ( P<0.05), while the maximum and mean values of transWSS and TAWSS were lower in the ulcerated group compared to the non-ulcerated group ( P<0.05). The AUC for the combined model predicting ulceration formation at the carotid bifurcation was 0.926. Conclusions:The CCAMAX/CCA ratio and plaque area at the site of stenosis at the carotid bifurcation are independent factors influencing the formation of ulcerated plaques. A model that combines geometric morphology and hemodynamic parameters can more effectively diagnose the formation of ulcerated plaques at the carotid bifurcation.

Objective:To investigate the impact of different CT reconstruction kernels on the quantitative analysis of small pulmonary vessels in patients with chronic obstructive pulmonary disease (COPD) and high-risk patients.Methods:This study was a cross-sectional study. Clinical and imaging data of 73 COPD and high-risk patients visiting the China-Japan Friendship Hospital between March and April 2024 were retrospectively analyzed. All patients underwent high-resolution CT of the chest and pulmonary function tests, with the ratio of forced expiratory volume in one second to forced vital capacity (FEV 1/FVC) obtained. The raw CT data were reconstructed using different kernels: the FC86 group used the adaptive iterative dose reduction(AIDR) 3D standard lung sharp reconstruction algorithm, the FC18 group used the AIDR 3D standard Body standard reconstruction algorithm, the advanced intelligent clear-IQ engine(AiCE) Lung group used the AiCE deep learning reconstruction algorithm for lung, and the AiCE Body group used the AiCE deep learning reconstruction algorithm for body. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image noise were calculated. The pulmonary vessel segmentation & Measurement software was used to segment and extract pulmonary arteries and veins of four groups in thin-slice whole-lung CT imaging, obtaining the ratio of small pulmonary arteries (%V artery<5) and the ratio of small pulmonary veins (%V vein<5). The One-way repeated measures ANOVA or Friedman test was used to compare the differences in SNR, CNR, image noise, %V artery<5, and %V vein<5 among the four groups, followed by Bonferroni post hoc or Bonferroni-Dunn test with P-value correction to analysis differences between subgroups. The correlations between %V artery<5 and FEV 1/FVC, as well as between %V vein<5 and FEV 1/FVC were analyzed using Spearman rank correlation analysis in all four groups. Results:The overall differences in image noise, SNR, and CNR in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). Except for the difference in CNR values between the AiCE Lung group and the FC18 group, which was not statistically significant ( P=0.192), all differences were statistically significant ( P<0.016 7). The overall differences in %V artery<5 values and %V vein<5 values in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). The %V artery<5 and %V vein<5 values in the FC18 group were lower than those in the AiCE Lung, AiCE Body, and FC86 groups ( P<0.016 7), and the rest of the differences were not statistically significant ( P>0.016 7). %V artery<5 and %V vein<5 were positively correlated with FEV 1/FVC in all 4 groups ( P<0.05), with the highest correlation coefficient between %V vein<5 and FEV 1/FVC in the AiCE Body group ( r=0.501, P=0.001). Conclusions:DLR-AiCE-based kernel reconstruction optimizes image quality and significantly affects the results of quantitative parameters of small pulmonary vessels. The reconstruction kernel prioritized for quantitative analysis of small vessels within the lungs in COPD based on the CT scanner in this study is AiCE Body.