Objective To investigate the correlations of calmodulin 1(CNN1)and asymmetric dimethylarginine(ADMA)expression with Wnt/β-catenin pathway in tissues of gastric cancer and their values for prognosis.Methods Surgical specimens and serum samples from 110 patients with gastric cancer,along with serum samples from 60 healthy individuals in the hospital were collected.Immunohistochemistry and real-time fluorescent quantitative PCR were used to detect the expression levels of CNN1 protein and CNN1 mRNA in gastric cancer tissues respectively;the enzyme-linked immunosorbent assay(ELISA)was used to detect the expression of ADMA in the serum of gastric cancer patients.The relationships of the CNN1 and ADMA expression with the clinicopathological characteristics in gastric cancer patients were analyzed.Kaplan-Meier survival curve was used to an-alyze the influence of CNN1 and ADMA expression on prognosis of gastric cancer patients;Cox re-gression analysis was used to explore independent factors affecting the prognosis of gastric cancer pa-tients;the Pearson correlation analysis was used to explore the correlation between CNN1 and ADMA expression in gastric cancer tissues,and to analyze the correlations of CNN1 mRNA and ADMA mRNA with Wnt/β-catenin signaling pathway-related indicators.Results The positive ex-pression rate of CNN1 protein in gastric cancer tissues was 38.18％(42/110),which was signifi-cantly lower than 57.27％(63/110)in adjacent tissues(x2=8.035,P=0.005).The serum ADMA level in gastric cancer patients was(0.54±0.17)μmol/L,which was significantly higher than(0.42±0.14)μmol/L in healthy individuals(t=4.752,P＜0.001).Patients with lymph node metastasis and advanced tumor stages had significantly decreased CNN1 protein positivity in gastric cancer tissues and increased serum ADMA expression(P＜0.05).The survival rate was 73.80％in the high CNN1 expression group(n=42),which was significantly higher than 39.71％in the low CNN1 expression group(n=68)(x2=22.300,P＜0.001);the survival rate was 45.68％in the high ADMA expression group(n=81),which was significantly lower than 72.41％in the low ADMA expression group(n=29)(x2=4.791,P=0.029).Univariate and multivariate Cox regression analysis showed that lymph node metastasis,advanced tumor staging,low CNN1 pro-tein expression,and high serum ADMA expression were independent risk factors for poor prognosis in gastric cancer patients(P＜0.05).The expression level of CNN1 mRNA in gastric cancer tissues was(0.41±0.13),which was significantly lower than(1.16±0.35)in adjacent tissues(t=21.068,P＜0.001).The expression levels of wnt3a mRNA and β-catenin mRNA in gastric cancer tissues were(2.02±0.42)and(2.59±0.58)respectively,both were significantly higher than(1.25±0.28)and(1.18±0.42)in adjacent tissues(t=15.999,P＜0.001;t=20.651,P＜0.001).CNN1 expression in gastric cancer tissues was negatively correlated with serum ADMA ex-pression in gastric cancer patients(r=-0.794,P＜0.001);CNN1 mRNA expression in gastric cancer tissues was negatively correlated with the expression of Wnt/β-catenin signaling pathway-re-lated indicators wnt3a mRNA and β-catenin mRNA(P＜0.001);serum ADMA mRNA expression in gastric cancer patients was positively correlated with the expression of Wnt/β-catenin signaling pathway-related indicators wnt3a mRNA and β-catenin mRNA(r=0.763,P＜0.001;r=0.874,P＜0.001).Conclusion The decreased expression of CNN1 and the increased expression of ser-um ADMA are independent risk factors for poor prognosis in gastric cancer patients,and their ex-pression levels are related to lymph node metastasis and tumor TNM staging.The expression levels of CNN 1 and ADMA are negatively correlated in gastric cancer tissues,which may be mediated by reg-ulating the Wnt/β-catenin signaling pathway.

Objective To investigate the value of serum ribosomal biogenesis factor nucleolar protein53(NOP53)mRNA and fibronectin type Ⅲ domain containing 1(FNDC1)mRNA in evaluating the efficacy of neoadjuvant chemoradiotherapy(NACRT)in patients with locally advanced rectal cancer.Methods A total of 140 patients with locally advanced rectal cancer who received NACRT treatment in Yulin Hospital the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to January 2023 were selected as the study group.According to the efficacy of NACRT treatment,they were divided into good response group(99 cases)and poor response group(41 cases).At the same time,70 healthy people were selected as control group.Real-time fluorescence quantitative PCR was used to detect serum NOP53 mRNA and FNDC1 mRNA levels in the two groups.Logistic regression analysis was used to analyze the factors affecting the efficacy of NACRT.The value of serum NOP53 mRNA and FNDC1 mRNA in evaluating the efficacy of NACRT for rectal cancer was analyzed by receiver operating characteristic analysis.Results The expression of serum NOP53 mRNA(3.21±0.36)and FNDC1 mRNA(2.73±0.34)in the study group was higher than that in the control group(0.61±0.17,0.72±0.18),and the differences were statistically significant(t=57.267,46.287,all P<0.001).The expression of serum NOP53 mRNA(4.08±0.43,4.10±0.40)and FNDC1 mRNA(3.62±0.39,3.40±0.39)in patients with T stage T4 and N stage N1+N2 rectal cancer was higher than that in patients with T stage T3(2.52±0.30,2.02±0.29)and N stage N0(2.21±0.31,1.02±0.30),and the differences were statistically significant(t=25.241～40.106,all P<0.001).The proportion of T stage T4(73.17%),N stage N1+N2(75.61%),serum NOP53 mRNA(5.56±0.39)and FNDC1 mRNA(4.42±0.38)in the poor response group were higher than those in the good response group(32.32%,43.43%,2.24±0.31,2.03±0.29),and the differences were statistically significant(t=12.045～53.337,all P<0.001).T stage T4,N stage N1+N2,high serum NOP53 mRNA,high serum FNDC1 mRNA were risk factors affecting the efficacy of NACRT for rectal cancer(Wald χ2=9.463～15.589,all P<0.001).The AUC of serum NOP53 mRNA combined with FNDC1 mRNA in evaluating the efficacy of NACRT for rectal cancer higher than predicted by serum NOP53 mRNA and FNDC1 mRNA alone,and the differences were statistically significant(Z=4.645,4.321,all P<0.001).Conclusion The levels of serum NOP53 mRNA and FNDC1 mRNA in patients with locally advanced rectal cancer are increased,which are related to the poor clinicopathological features of patients.Combined with serum NOP53 mRNA,FNDC1 mRNA can effectively predict the clinical efficacy of NACRT in patients with rectal cancer.

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.

[This corrects the article DOI: 10.1016/j.apsb.2024.09.010.].

AIM: To quantitatively evaluate the clinical characteristics of haze after transepithelial photorefractive keratectomy(TPRK)for astigmatism using corneal densitometry.METHODS:In this retrospective clinical study, a total of 74 patients(106 eyes)with astigmatism ≥1.25 D who underwent TPRK in our hospital from October 2022 to December 2024 were continuously collected. All of the study subjects were divided into transparent group(65 eyes)and haze group(41 eyes)based on whether haze occurred after surgery. Pentacam examination was performed before and after surgery, and corneal densitometry was recorded at the time points of preoperation, 1 mo postoperation in the transparent group and the most severe haze degree in the haze group. The collected corneal densitometry included the average densitometry of the entire corneal layer in the central 2 mm, 2-6 mm, and 6-10 mm areas, as well as the average densitometry of the entire layer of the corneal section in the center 6 mm of the astigmatism axis(astigmatism expressed in negative cylindrical form)and orthogonal axis(the axis perpendicular to the astigmatism axis), and the average densitometry of the entire layer of the corneal section in the nasal and temporal 2-6 mm areas of the astigmatism axis in the haze group of patients with regular astigmatism. The change in corneal densitometry after surgery compared with that before surgery was calculated.RESULTS:There was no statistically significant difference in baseline data such as gender, age, and spherical equivalent between the transparent group and the haze group(all P>0.05). The change in corneal densitometry in the 2-6 mm area of the haze group was greater than that in the transparent group(Z=-2.226, P=0.026), while there was no significant difference in the change of corneal densitometry in the central 2 mm and 6-10 mm areas between the two groups(both P>0.05). There was no significant difference in the change of corneal densitometry between the transparent group and haze group along the orthogonal axis(all P>0.05), while the change of corneal densitometry in the haze group along the astigmatism axis was greater than that in the transparent group(Z=-2.371, P=0.018). The temporal corneal densitometry of patients with regular astigmatism in the haze group after surgery was higher than that of the nasal side, and the change in corneal densitometry was also greater than that of the nasal side(Z=-4.288, P<0.001; Z=-4.043, P<0.001).CONCLUSION:Unlike spherical correction for myopia and hyperopia, haze after TPRK for astigmatism was mainly manifested in the peripheral cutting area of the astigmatism axis, and patients with regular astigmatism had a higher probability or severity of haze on the temporal side of the astigmatism axis than on the nasal side.

Objective To investigate the value of serum ribosomal biogenesis factor nucleolar protein53(NOP53)mRNA and fibronectin type Ⅲ domain containing 1(FNDC1)mRNA in evaluating the efficacy of neoadjuvant chemoradiotherapy(NACRT)in patients with locally advanced rectal cancer.Methods A total of 140 patients with locally advanced rectal cancer who received NACRT treatment in Yulin Hospital the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to January 2023 were selected as the study group.According to the efficacy of NACRT treatment,they were divided into good response group(99 cases)and poor response group(41 cases).At the same time,70 healthy people were selected as control group.Real-time fluorescence quantitative PCR was used to detect serum NOP53 mRNA and FNDC1 mRNA levels in the two groups.Logistic regression analysis was used to analyze the factors affecting the efficacy of NACRT.The value of serum NOP53 mRNA and FNDC1 mRNA in evaluating the efficacy of NACRT for rectal cancer was analyzed by receiver operating characteristic analysis.Results The expression of serum NOP53 mRNA(3.21±0.36)and FNDC1 mRNA(2.73±0.34)in the study group was higher than that in the control group(0.61±0.17,0.72±0.18),and the differences were statistically significant(t=57.267,46.287,all P<0.001).The expression of serum NOP53 mRNA(4.08±0.43,4.10±0.40)and FNDC1 mRNA(3.62±0.39,3.40±0.39)in patients with T stage T4 and N stage N1+N2 rectal cancer was higher than that in patients with T stage T3(2.52±0.30,2.02±0.29)and N stage N0(2.21±0.31,1.02±0.30),and the differences were statistically significant(t=25.241～40.106,all P<0.001).The proportion of T stage T4(73.17%),N stage N1+N2(75.61%),serum NOP53 mRNA(5.56±0.39)and FNDC1 mRNA(4.42±0.38)in the poor response group were higher than those in the good response group(32.32%,43.43%,2.24±0.31,2.03±0.29),and the differences were statistically significant(t=12.045～53.337,all P<0.001).T stage T4,N stage N1+N2,high serum NOP53 mRNA,high serum FNDC1 mRNA were risk factors affecting the efficacy of NACRT for rectal cancer(Wald χ2=9.463～15.589,all P<0.001).The AUC of serum NOP53 mRNA combined with FNDC1 mRNA in evaluating the efficacy of NACRT for rectal cancer higher than predicted by serum NOP53 mRNA and FNDC1 mRNA alone,and the differences were statistically significant(Z=4.645,4.321,all P<0.001).Conclusion The levels of serum NOP53 mRNA and FNDC1 mRNA in patients with locally advanced rectal cancer are increased,which are related to the poor clinicopathological features of patients.Combined with serum NOP53 mRNA,FNDC1 mRNA can effectively predict the clinical efficacy of NACRT in patients with rectal cancer.

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.

The adipose tissue of mammals represents an important energy-storing and endocrine organ, and its dysfunction is relevant to the onset of several health problems, including non-alcoholic fatty liver disease (NAFLD). However, whether treatments targeting adipose dysfunction could alleviate NAFLD has not been well-studied. Adrenomedullin 2 (ADM2), belonging to the CGRP superfamily, is a protective peptide that has been shown to inhibit adipose dysfunction. To investigate the adipose tissue-specific effects of ADM2 on NAFLD, adipose-specific ADM2-overexpressing transgenic (aADM2-tg) mice were developed. When fed a high-fat diet, aADM2-tg mice displayed decreased hepatic triglyceride accumulation compared to wild-type mice, which was attributable to the inhibition of hepatic de novo lipogenesis. Results from lipidomics studies showed that ADM2 decreased ceramide levels in adipocytes through the upregulation of ACER2, which catalyzes ceramide catabolism. Mechanically, activation of adipocyte HIF2α was required for ADM2 to promote ACER2-dependent adipose ceramide catabolism as well as to decrease hepatic lipid accumulation. This study highlights the role of ADM2 and adipose-derived ceramide in NAFLD and suggests that its therapeutic targeting could alleviate disease symptoms.

Nuclear receptor corepressor (NCoR1) interacts with various nuclear receptors and regulates the anabolism and catabolism of lipids. An imbalance in lipid/energy homeostasis is also an important factor in obesity and metabolic syndrome development. In this study, we found that the deletion of NCoR1 in intestinal epithelial cells (IECs) mainly activated the nuclear receptor PPARα and attenuated metabolic syndrome by stimulating thermogenesis. The increase in brown adipose tissue thermogenesis was mediated by gut-derived tricarboxylic acid cycle intermediate succinate, whose production was significantly enhanced by PPARα activation in the fed state. Additionally, NCoR1 deletion derepressed intestinal LXR, increased cholesterol excretion, and impaired duodenal lipid absorption by decreasing bile acid hydrophobicity, thereby reversing the possible negative effects of intestinal PPARα activation. Therefore, the simultaneous regulatory effect of intestinal NCoR1 on both lipid intake and energy expenditure strongly suggests that it is a promising target for developing metabolic syndrome treatment.

This research evaluated the clinical efficacy of three-wings rib plate in the treatment of multiple rib fractures and flail chest with mechanical analysis and clinical verification. The model of rib and three-wings rib plate was reconstructed. The contact simulation with pretension stress was applied to the plate's fixation, and it was found that the bearable stress of the rib fractures after fixation increased from the result which indicated a good fixation efficacy of the plate. Clinical data of 53 cases of rib fractures and flail chest treated with three-wings rib plate in Shanghai Pudong Hospital of Fudan University were retrospectively analyzed. After the operation, the pain of the patients was relieved. Postoperative CT reconstruction of the chest showed good restoration of the rib fractures, which verified the clinical efficacy of three-wings rib plate. The three-wings rib plate showed a high value in clinical use for treatment of rib fractures.
China ; Flail Chest/surgery* ; Fracture Fixation, Internal ; Humans ; Retrospective Studies ; Rib Fractures/surgery* ; Ribs