Purpose To explore the expression level of let-7b-5p in glioma and its effects and potential mecha-nisms on U251 cell growth.Methods The expression of let-7b-5p in glioma was detected using qRT-PCR.Data from the CGGA database were analyzed to examine the relationship between the let-7b-5p expression levels,WHO grade and overall survival rates of glioma patients.Transient transfection was used to downregulate the expression of let-7b-5p and IGF1R in U251 cells.The role and potential mechanism of let-7b-5p in the U251 cell were evaluated using qRT-PCR,CCK8 assays,clone formation assays,Western blotting,and double luciferase reporter assays.Results The expres-sion of let-7b-5p in glioma cells(A172:3.64±0.64,V251:4.56±0.52,U87-MG:3.31±0.50)and tissues(2.18±0.22)was significantly higher than that in astrocytes(HMC3:1.00±0.21,P＜0.05 or P＜0.01)and nor-mal brain tissues(1.01±0.19,P＜0.05).Let-7b-5p expression was negatively correlated with WHO grades but pos-itively correlated with survival rates in primary and recurrent glioma patients(P＜0.000 1 and P=0.028,respective-ly).Knockdown of let-7b-5p in U251 cells significantly promoted the growth of glioma cells(CCK8:knockdown group 126.00±12.09 vs miR-NC group 90.93±5.13,P＜0.05)and activated PI3K/AKT signal pathway.Suppressing IGF1R expression in U251 cells reversed the effects of let-7b-5p knockdown on glioma cell growth[CCK8:let-7b-5p knockdown+IGF1R knockdown group(92.08±6.14)vs let-7b-5p knockdown+sh-NC group(116.67.08±8.50)]and PI3K/AKT signal pathway activation.Conclusion Let-7b-5p functions as a tumor suppressor gene in glioma.It may regulate glioma cell growth by targeting IGF1R and modulating PI3K/AKT signal pathway.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective To analyze the clinical characteristics of recipients with interstitial lung disease (ILD) who underwent second lung transplantation and summarize the diagnostic and therapeutic experience. Methods A retrospective analysis was conducted on the clinical data of 14 patients who underwent first and second lung transplants for ILD at the First Affiliated Hospital of Guangzhou Medical University from January 2015 to December 2024. The preoperative conditions, intraoperative events, postoperative treatments and prognoses of the first and second lung transplantation were compared, and the postoperative survival of ILD patients after the second lung transplantation was analyzed. Results Among the 14 recipients of the second lung transplant, 13 underwent the procedure due to chronic lung allograft dysfunction, and 1 due to airway complications. The median interval time from the first to the second lung transplant was 32 (2, 80) months. Before the second transplantation, 2 recipients required endotracheal intubation and mechanical ventilation, and 2 required endotracheal intubation, mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) support. The surgical time for the second lung transplantation was longer than that for the first, with increased intraoperative red blood cell and plasma transfusion volumes, the proportion of ECMO support during the second lung transplantation was higher than that during the first (all P<0.05). However, the cold ischemia time for one-sided lung transplant completion in the first lung transplant was similar to that in the second lung transplantation (P>0.05). The median follow-up time after the second lung transplantation was 32 (1, 63) months. The 1-month, 6-month and 1-year survival rates after the second lung transplantation were 79%, 57% and 50%, respectively, with causes of death being infection, multiple organ failure and gastrointestinal bleeding. Conclusions For ILD patients undergoing second lung transplantation after the first lung transplantation, the second lung transplantation is more challenging, with longer surgical time and higher intraoperative blood loss. It requires higher surgical skills and perioperative management. Non-emergency second transplantation may still achieve good results.

Objective:To summarize the clinical manifestations of anti-synthetase syndrome (ASS) with interstitial lung disease (ILD) patients with different antibody subtypes and the skeletal muscle pathology of ASS.Methods:A total of 106 ASS-ILD patients admitted to the First Medical Center of Chinese People′s Liberation Army General Hospital from May 11, 2015 to June 25, 2023 were included. Their intramuscular and extramuscular clinical manifestations were collected. The correlation between different antibody subtypes in patients with ASS and the various subtypes of ILD was investigated. The skeletal muscle pathological characteristics of 13 ASS patients were also summarized.Results:Among the 106 ASS-ILD patients, 56 (52.8%) were anti-JO-1 antibody positive, 19 (17.9%) were anti-PL-7 antibody positive, 11 (10.4%) were anti-PL-12 antibody positive, 14 (13.2%) were anti-EJ antibody positive, and 6 (5.7%) were anti-OJ antibody positive. All the patients had ILD [including nonspecific interstitial pneumonia (NSIP), usual interstitial pneumonia (UIP), organizing pneumonia (OP), mixed pneumonia]. In all the patients, 46.2% (49/106) had cardiac damage, 37.7% (40/106) had arthritis, 29.2% (31/106) had myasthenia gravis, 24.5% (26/106) had myalgia, and 19.8% (21/106) had Raynaud′s phenomenon. The incidence of NSIP was 75.0% (42/56) in the anti-JO-1 antibody-positive group, significantly higher than other groups (anti-PL-7 antibody-positive group, 8/19;anti-PL-12 antibody-positive group, 3/11;anti-EJ antibody-positive group, 5/14;anti-OJ antibody-positive group, 2/6; P=0.001). UIP was most common in the anti-PL-7 antibody-positive group (8/19). OP was most frequent in the anti-PL-12 antibody-positive group (5/11). The incidence of arthritis was highest in the anti-JO-1 antibody-positive group (51.8%, 29/56). The anti-Ro-52 antibody-positive rate was significantly higher in the anti-EJ antibody-positive group (12/14) than in the other 4 groups [anti-JO-1 antibody-positive group, 33.9% (19/56); anti-PL-7 antibody-positive group, 10/19; anti-PL-12 antibody-positive group, 6/11; anti-OJ antibody-positive group, 0/6; P=0.001]. ASS skeletal muscle pathology was manifested as necrotizing myopathy pattern (6/13), inflammatory myopathy pattern (4/13), and nonspecific myopathy pattern (3/13). All the 106 patients received methylprednisolone as the basic treatment. Among them, 69 patients (65.1%) received methylprednisolone alone, while 37 patients (34.9%) received combination therapy involving immunosuppressants, whose symptoms improved after treatment. Conclusions:A discernible correlation exists between the clinical manifestations of ASS with ILD and specific antibody subtypes. ASS patients generally respond well to immunotherapy. ASS can manifest as 3 distinct skeletal muscle pathological patterns: necrotizing myopathy pattern, inflammatory myopathy pattern, and nonspecific myopathy pattern.

Objective:To explore the distribution characteristics of HBsAg levels in treatment-na?ve and treatment-experienced patients with chronic hepatitis B (CHB) in China.Methods:Data were obtained from the China Registry of Hepatitis B (CR-HepB) platform from the establishment of the platform to April 11, 2024. Patients with CHB who were treatment-na?ve and treatment-experienced with nucleos(t)ide analogs (NAs) were included. Relevant clinical data were collected. The distribution of hepatitis B surface antigen (HBsAg) status, as well as the levels in populations of different age groups after different antiviral treatment durations, were retrospectively analyzed. Normally and non-normally distributed measured data were represented by Mean± SD, and M( Q1, Q3). Results:A total of 13 505 treatment-na?ve patients and 6 390 treatment-experienced patients were included in the analysis. The proportions of treatment-na?ve patients with HBsAg<100, <500, and <1 500 IU/mL were 10.51%, 28.47%, and 46.85%, and the corresponding proportions of treatment-experienced patients were 12.88%, 29.84%, and 52.07%. The proportions of treatment-na?ve patients with HBsAg levels≥1 500, ≥3 000, and≥8 000 IU/mL were 53.15%, 38.17%, and 15.62%, and the corresponding proportions of treatment-experienced patients were 47.93%, 31.77%, and 10.39%. HBsAg level showed a trend of gradual decrease with the increase of antiviral treatment time. The proportion of treatment-experienced patients with HBsAg<100 IU/mL increased from 12.73% when the treatment duration was less than three years to 26.92% when the treatment duration was≥10 years, while the proportion of patients with HBsAg levels≥3 000 IU/mL or≥8 000 IU/mL decreased from 34.66% to 23.08% and from 12.19% to 5.77%, respectively. The proportion of patients with HBsAg<100, <500, and<1 500 IU/mL increased with age, while the proportion of patients with HBsAg≥1 500, ≥3 000, and ≥8 000 IU/mL decreased sequentially.Conclusions:The CR-HepB platform provides a basis for clarifying the serum HBsAg levels in treatment-na?ve and treatment-experienced CHB patients in China. The HBsAg status indicates that with a prolonged antiviral treatment duration, there is a gradual decline trend in HBsAg level.

Purpose To explore the expression level of let-7b-5p in glioma and its effects and potential mecha-nisms on U251 cell growth.Methods The expression of let-7b-5p in glioma was detected using qRT-PCR.Data from the CGGA database were analyzed to examine the relationship between the let-7b-5p expression levels,WHO grade and overall survival rates of glioma patients.Transient transfection was used to downregulate the expression of let-7b-5p and IGF1R in U251 cells.The role and potential mechanism of let-7b-5p in the U251 cell were evaluated using qRT-PCR,CCK8 assays,clone formation assays,Western blotting,and double luciferase reporter assays.Results The expres-sion of let-7b-5p in glioma cells(A172:3.64±0.64,V251:4.56±0.52,U87-MG:3.31±0.50)and tissues(2.18±0.22)was significantly higher than that in astrocytes(HMC3:1.00±0.21,P＜0.05 or P＜0.01)and nor-mal brain tissues(1.01±0.19,P＜0.05).Let-7b-5p expression was negatively correlated with WHO grades but pos-itively correlated with survival rates in primary and recurrent glioma patients(P＜0.000 1 and P=0.028,respective-ly).Knockdown of let-7b-5p in U251 cells significantly promoted the growth of glioma cells(CCK8:knockdown group 126.00±12.09 vs miR-NC group 90.93±5.13,P＜0.05)and activated PI3K/AKT signal pathway.Suppressing IGF1R expression in U251 cells reversed the effects of let-7b-5p knockdown on glioma cell growth[CCK8:let-7b-5p knockdown+IGF1R knockdown group(92.08±6.14)vs let-7b-5p knockdown+sh-NC group(116.67.08±8.50)]and PI3K/AKT signal pathway activation.Conclusion Let-7b-5p functions as a tumor suppressor gene in glioma.It may regulate glioma cell growth by targeting IGF1R and modulating PI3K/AKT signal pathway.

Astrocytes and microglia engage in extensive and complex communication and mutual effect, which referrs to microglia-astrocyte crosstalk. Recent studies have highlighted that this crosstalk plays a pivotal role in neurodegenerative diseases, exerting either protective or detrimental effects. This review briefly introduces the molecular mechanism of microglia-astrocyte crosstalk and its research progress in Alzheimer's disease, multiple sclerosis, amyotrophic lateral sclerosis, and Parkinson's disease, aiming to provide new research directions and therapeutic targets for clinical improvement of neurodegenerative diseases from perspective of microglia-astrocyte crosstalk.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Lung transplantation is a key therapeutic approach for patients with end-stage lung diseases. Although its clinical outcomes have significantly improved, multidimensional injuries sustained by donor lungs during procurement, preservation, and transplantation remain major challenges affecting graft survival and long-term prognosis. This article proposes the "Guangzhou Classification" for full-course management of donor lung injury, characterized by spatiotemporal dynamics. Based on the progression of disease stages, donor lung injuries are systematically divided into three types: primary injuries (including donor ICU-related lung injury, pathogen colonization, and cold ischemia injury), secondary injuries (such as ventilator-induced lung injury after transplantation, ischemia-reperfusion inflammatory storm, and early rejection), and accompanying injuries (organ toxicity caused by accumulation of postoperative sedatives, analgesics, and vasoactive drugs). Drawing on previous studies and the clinical experience of our center, this paper elaborates the temporal evolution, key risk factors, and prevention and treatment strategies of each injury category, and discusses future research directions. By targeting critical injury factors at each stage, this classification aims to optimize both short-term and long-term outcomes of lung transplantation.

Objective:To explore the predictive factors for extubation in the operating room after single lung transplantation without the assistance of extracorporeal membrane oxygenation (ECMO) in adult patients with end-stage interstitial lung disease (ILD), as well as their short-term (1-year postoperative) prognosis.Methods:A retrospective analysis was conducted on the clinical data of 78 adult ILD recipients who underwent single lung transplantation without ECMO assistance at the First Affiliated Hospital of Guangzhou Medical University from June 2018 to June 2023. Based on whether extubation was completed in the operating room (OR), patients were divided into the OR group (19 cases) and ICU group (59 cases). Baseline characteristics of donors and recipients, as well as intraoperative events, were compared between the two groups. Univariate logistic regression analysis was used to identify potential predictors, and variables with P<0.2 were included in multivariate logistic regression to determine independent predictors for OR extubation. Receiver operating characteristic (ROC) curves were plotted to evaluate predictive performance. The Kaplan-Meier method was used to analyze survival, and short-term prognosis between groups was compared. Results:The rate of OR extubation after single lung transplantation in ILD recipients was 24%(19/78). Compared with the ICU group, the OR group had shorter operation times, lower fluid volumes, reduced transfusions of red blood cells and plasma, less intraoperative bleeding, and lower lactate levels 15 minutes after pulmonary artery reperfusion (all P<0.05). Univariate logistic regression analysis identified the following factors as significantly associated with OR extubation: recipient age ( P=0.100), operative time ( P=0.001), fluid infusion volume ( P=0.005), red blood cell transfusion volume ( P=0.037), plasma transfusion volume ( P=0.039), blood loss ( P=0.004), oxygenation index at 15 minutes after reperfusion ( P=0.174), and blood lactate at 15 minutes after reperfusion ( P=0.041). Multivariate analysis revealed that intraoperative blood loss was an independent predictor of OR extubation ( OR=0.993, 95% CI: 0.986 - 0.999, P=0.026). ROC curve analysis showed that blood loss had an area under the curve (AUC) of 0.822 in predicting OR extubation, with a sensitivity of 64.4% and specificity of 89.5%. Postoperatively, patients in the OR group had significantly shorter durations of mechanical ventilation [0 vs 5 (3,11) days, P<0.001], ICU stay [7(4,8) vs 9(6,20) days, P=0.012], and overall postoperative hospitalization [19 (15,23) vs 25 (19,39) days, P=0.015]. Within one year after surgery, 2 patients (11%) in the OR group and 19 patients (32%) in the ICU group had died, but the difference in 1-year survival rates between the two groups was not statistically significant. Conclusions:Intraoperative blood loss is an independent predictor of extubation in the operating room. Early extubation in non-ECMO-assisted single lung transplantation for ILD patients is associated with improved short-term outcomes.