Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

Objective:To establish a mass spectrometry method for the determination of characteristic peptides of Galli Gigerii Endothelium Corneum that can identify the authenticity of Galli Gigerii Endothelium Corneum as well as its preparations; To evaluate their quality.Methods:Ultra performance chromatography-electrospray tandem mass spectrometry (UPLC-MS/MS) with the mode of multiple reaction monitoring quantification (MRM) was employed to monitor the ion pairs of m/z 379.21(charge: +2)→571.36, m/z 379.21(charge: +2)→385.26, m/z 785.41(charge: +2)→941.51 and m/z 785.41(charge: +2)→245.08, in order to detect the Galli Gigerii Endothelium Corneum crude drug and its preparations. Results:Chicken specific peptide I and chicken specific peptide Ⅱ could be detected in the 18 batches of Galli Gigerii Endothelium Corneum from different regions, their corresponding extractions and 4 batches of prescription preparations, while the chicken specific peptides were not detected in the 8 batches of endothelium corneums from ducks, geese and pigeons.Conclusions:The method established in this study can effectively supplement the deficiencies in standards of Galli Gigerii Endothelium Corneum and its decoction pieces, improve the quality control standard, and provide a reference for the safety and effectiveness of Galli Gigerii Endothelium Corneum in clinical medication.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective:To explore the role and mechanism of long non-coding RNA KCNQ1 overlapping transcript 1 (LncRNA KCNQ1OT1) in the migration, proliferation and invasion of hepatocellular carcinoma (HCC).Methods:The experimental method was conducted. The expression levels of LncRNA KCNQ1OT1 in HCC tissues and normal liver tissues in the StarBase database were collected. The experimental methods including real-time quantitative PCR, cell transfection, scratch assay, CCK8 assay, Transwell assay, Western blot were used to determine the expression, migration, proliferation, invasion of LncRNA KCNQ1OT1 in HCC cells and its relationship with phosphatidylinositol 3-kinase/phosphorylated AKT Protein (PI3K /p-AKT) signaling pathways. Observation indicators: (1) expression of LncRNA KCNQ1OT1 in HCC tissues and normal liver tissues; (2) the migration of HepG2, SMCC-7721 and MHCC-97H HCC cells after LncRNA KCNQ1OT1 gene knockdown; (3) the proliferation and invasion of HepG2, SMCC-7721 and MHCC-97H HCC cells after LncRNA KCNQ1OT1 gene knockdown; (4) effects of LncRNA KCNQ1OT1 gene knockdown on PI3K/p-AKT signaling pathways. Measurement data with normal distribution were expressed as Mean± SD, and comparison between groups was analyzed using the t test. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:(1) Expression of LncRNA KCNQ1OT1 in HCC tissues and normal liver tissues. The expression levels of LncRNA KCNQ1OT1 in 374 HCC tissues and 50 normal liver tissues from StarBase database were 3.320±0.017 and 1.470±0.025, respectively, showing a significant difference ( t=5.24, P<0.05). Results of gene expression profile interactive analysis showed that the 30-month disease-free survival rates of HCC patients with high and low expression levels of LncRNA KCNQ1OT1 were 41% and 55%, respectively, with a significant difference ( χ2=6.209, P<0.05). The relative expression of LncRNA KCNQ1OT1 in HepG2, SMCC-7721and MHCC-97H cells were 1.470±0.042, 3.300±0.032, 4.040±0.031, respectively, versus 1.000±0.022 in normal liver cells (LO2), showing significant differences ( t=17.66, 95.40, 114.20, P<0.05). (2) The migration of HepG2, SMCC-7721 and MHCC-97H HCC cells after LncRNA KCNQ1OT1 gene knockdown. ① Results of cell transfection showed that the relative expression levels of LncRNA KCNQ1OT1 in HepG2, SMCC-7721 and MHCC-97H cells after LncRNA KCNQ1OT1 gene knockdown were 0.350±0.016, 0.310±0.020, 0.380±0.018, respectively, versus 1.000±0.021, 1.000±0.018, 1.000±0.019 in the negative control cells, showing significant differences ( t=23.40, 28.15, 22.32, P<0.05). ② Results of scratch assay showed that the healing rates of HepG2, SMCC-7721, MHCC-97H cells after LncRNA KCNQ1OT1 gene knockdown were 85.0%±1.9%, 75.0%±1.8%, 90.0%±1.7%, respectively, versus 100.0%±2.0%, 95.0%±1.8%, 72.0%±1.7% of the negative control cells, showing significant differences ( t=31.35, 47.36, 38.42, P<0.05). ③ Results of Transwell assay showed that the vertical migration rates of HepG2, SMCC-7721, MHCC-97H cells after LncRNA KCNQ1OT1 gene knockdown were 195±10, 205±12, 85±8, respectively, versus 520±11, 430±7, 405±20 of the negative control cells, showing significant differences between them ( t=922.30, 458.20, 708.40, P<0.05). (3) The proliferation and invasion of HepG2, SMCC-7721 and MHCC-97H HCC cells after LncRNA KCNQ1OT1 gene knockdown. ① Results of CCK8 assay showed that 72-hour optical densities of HepG2, SMCC-7721, MHCC-97H cells after LncRNA KCNQ1OT1 gene knockdown were 1.370±0.018, 1.240±0.016, 1.360±0.020, respectively, versus 0.900±0.023, 1.740±0.032, 1.230±0.025 of the negative control cells, with significant differences ( t=10.79, 12.00, 7.56, P<0.05). ② Results of Transwell assay showed that the invasion numbers of HepG2, SMCC-7721, MHCC-97H cells after LncRNA KCNQ1OT1 gene knockdown were 186±12, 155±7, 75±9, respectively, versus 505±1, 245±8, 300±15 of the negative control cells, showing significant differences ( t=955.90, 163.40, 530.90, P<0.05). (4) Effects of LncRNA KCNQ1OT1 gene knockdown on PI3K/p-AKT signaling pathways. Resluts of Western blot showed that the relative repression levels of PI3K in HepG2, SMCC-7721, MHCC-97H cells after LncRNA KCNQ1OT1 gene knockdown were 0.447±0.009, 0.430±0.012, 0.354±0.006, respectively, versus 0.820±0.017, 0.850±0.012, 0.531±0.001 of the negative control cells, showing significant differences ( t=18.94, 25.72, 27.46, P<0.05). The relative repression levels of p-AKT in HepG2, SMCC-7721, MHCC-97H cells after LncRNA KCNQ1OT1 gene knockdown were 0.343±0.015, 0.410±0.012, 0.579±0.006, respectively, versus 0.546±0.012, 0.620±0.012, 0.830±0.012 of the negative control cells, showing significant differences ( t=10.78, 12.86, 19.02, P<0.05). Conclusions:LncRNA KCNQ1OT1 plays an important role in the occurrence and development of HCC. LncRNA KCNQ1OT1 gene knockdown can inhibit the PI3K/AKT signaling pathways, so it can significantly inhibit the proliferation, migration and invasion of HCC cells.

Genetics ; Laboratories ; Technology ; standards ; United States

Objective To investigate the relationship between sonic hedgehog(SHH)signaling pathway and chronic pancreatitis.Methods Thirty Wistar rats were randomly divided into the model group,experimental control group and blank control group,and there were 10 rats in each group.Trinitrobenzene sulfonic acid was infused into the pancreatic duct of the rats to induce pancreatitis in the model group.The pancreatic duct of the rats in the experimental control group were infused with 0.9％ sodium chloride solution.No treatment was performed on rats in the blank control group.The serum levels of bilirubin and amylase of the 3 groups were determined,and the histopathological alterations were studied.Expressions of patched-1(PTCH-1),smoothened (SMO)and SHH were detected by immunohistochemistry.All data were analyzed using the analysis of variance or Student's t test.Results The levels of total bilirubin(TBil)in the model group,experimental control group and blank control group from day 1 to day 35 were(3.17 ±0.21)μmol/L-(9.28 ±2.15)μmol/L,(3.44 ±0.54)μmol/L-(3.76 ± 0.15)μmol/L,(2.45 ± 0.32)μmol/L-(3.27 ± 1.43)μmol/L,respectively.The levels of amylase in the model group,experimental control group and blank control group were(1124 ± 143)U/L-(1522 ± 169)U/L,(1123 ± 104)U/L-(1007 ± 141)U/L,(1014 ± 115)U/L-(1013 ± 142)U/L,respectively.Compared with the experimental group and the blank control group,the serum levels of TBil and amylase in the model group were increased significantly from day 7 to day 35(F =14.81,16.27,18.13,11.49,17.91;11.54,10.24,12.64,21.11,15.38,P ＜ 0.05),and fibrotic proliferation of pancreatic tissues were found at day 35;the expressions of PTCH-1,SMO and SHH in the pancreatic tissue was increased significantly in the model group.Conclusion SHH signaling pathway is activated in the tissue of pancreatitis in rats,it might play an important role in the genesis of pancreatitis.

At present,the fashions,methods and means of medical genetics teaching have fallen behind the development of the subject.Under the patterns of net-teaching,the construction of net-teaching database is an important tache to develop teaching favourably,improve the quality and efficiency of teaching fleetly.This paper introduces the process of constructing a net-teaching database for medical genetics,the applications and characters of the database in teaching.

Purpose To observe therapeutic effect of electroacupuncture Neixiyan (Ex-LE 4 ) and Dubi (ST 35) in treating osteoarthritis of knee joint. Method All the 120 cases were randomly divided into electroacupuncture and control groups, 60 cases in each group,and they were given electroacupuncture and Ritalin slowreleased tablet respectively, and pain, mobility and swelling degree of knee joint were observed before and after treatments. Results In treatment group, the average score increased by 18, while in control group, it increased by 12.33 ( P < 0. 05 ) after treatment. Conclusion Therapeutic effect of electroacupuncture Neixiyan (Ex-LE 4) and Dubi (ST 35) in treating osteoarthritis of knee joint was better than that of administration of Ritalin slow-released tablet.