Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Objective:To explore the value of spectral CT parameters combined with dynamic contrast enhanced magnetic resonance imaging（DCE-MRI） parameters in the short-term efficacy of concurrent chemoradiotherapy for nasopharyngeal carcinoma. Methods: A total of 110 cases with nasopharyngeal carcinoma Ⅲ-Ⅳ staging who received synchronous radiotherapy and chemotherapy at our Hospital from October 2022 to October 2024 were regarded as the study subjects. Complying with the evaluation results after radiotherapy and chemotherapy, they were divided into a complete remission（CR） group of 53 cases and a non CR group of 57 cases. All patients underwent DCE-MRI and energy dispersive CT scans to obtain parameters, such as iodine concentration（IC）, volume transfer constant（Ktrans）, slope of spectral HU curve（λHU）, rate constant（Kep）, and normalized iodine concentration（NIC）. Logistic regression analysis was used to screen for influencing factors. ROC curve was used to analyze the evaluation value of various parameters. In addition, Z-test was used to compare area under the curve（AUC）. Results:The proportion of retropharyngeal lymph node metastasis and λHUvalue in the non CR group were higher than those in the CR group, while Ktrans, Kep, IC value, and NIC value were lower than those in the CR group（P<0.05）. Retropharyngeal lymph node metastasis, Ktrans, Kep, IC value, λHUvalue, and NIC value were all influencing factors（P<0.05）. The AUC of individual prediction of Ktrans, Kep, IC value, λHUvalue, and NIC value was 0.817, 0.800, 0.785, 0.783, and 0.835, respectively. The AUC of the combination of DCE-MRI parameters, the combination of spectral CT parameters, and the combination of the five parameters were 0.874, 0.900, and 0.980, respectively, the AUC of the combination of the five parameters was significantly higher than the AUC of each indicator alone, the AUC of the combination of DCE-MRI parameters, and the AUC of the combination of spectral CT parameters（P<0.05）. Conclusion:The DCE-MRI, and spectral CT parameters （Ktrans, Kep, IC value, λHUvalue, and NIC value）can be used to evaluate concurrent radiotherapy and chemotherapy short-term efficacy for nasopharyngeal carcinoma. And the combination of various parameters can greatly improve the predictive value of efficacy, which has important clinical application value.
Humans ; Chemoradiotherapy ; Nasopharyngeal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging ; Nasopharyngeal Carcinoma ; Tomography, X-Ray Computed ; Male ; Female ; Contrast Media ; Middle Aged ; Adult ; Lymphatic Metastasis ; Dynamic Contrast Enhanced Magnetic Resonance Imaging

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Objective:To observe any therapeutic effect of combining botulinum toxin type A (BTX-A) with rehabilitation training in treating Parkinson′s disease (PD) patients with striatal foot deformity (SFD).Methods:A total of 68 PD patients with SFD were randomly divided into a control group and a treatment group. Both groups were given routine medication with pramipexole and dopamine receptor agonists and received lower limb rehabilitation training, including passive activity training, strength training and walking training. The treatment group was additionally injected with BTX-A. Sciatic pain was quantified using a visual analogue scale. The Unified Parkinson′s Disease Rating Scale-lower limb motor lower limb motor function (UPDRS-LLM) scale, the Berg balance scale and the modified Barthel index were applied to test all of the participants before the experiment and on the 7th, 14th and 30th day of the treatment.Results:The average scores of the control group on all of measures at were significantly better than those of the control group at the same time points, and by the 14th and 30th day had improved significantly compared with those before treatment.Conclusion:Supplementing rehabilitation training with BTX-A can significantly improve foot deformity and relieve the muscle tension and spastic pain of PD patients with SFD, promoting the motor functioning of their lower limbs, their balance and their performance in the activities of daily living.

Objective:To investigate the application value of magnetic resonance imaging (MRI) intravoxel incoherent motion (IVIM)-diffusion-weighted imaging (DWI) metrics and texture analysis in the differential diagnosis and staging of nasopharyngeal carcinoma.Methods:The clinical data of 125 nasopharyngeal carcinoma patients (the research group) in Tangshan People's Hospital from October 2019 to October 2021 and 76 patients with nasopharyngeal hyperplasia during the same period (the control group) were retrospectively analyzed. All patients underwent MRI T2WI and IVIM-DWI sequence scanning, and then the plain T2WI images, DWI, and IVIM-DWI quantitative parameter pseudo-color maps including pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) were obtained. The texture analysis metrics like apparent diffusion coefficient (ADC), D, D* and f were recorded. IVIM-DWI and texture analysis metrics were compared among patients in both groups and patients in different clinical stages; and the receiver operating characteristic (ROC) curve was plotted to evaluate the efficacy of IVIM sequence parameters and texture analysis metrics in the differential diagnosis and staging of nasopharyngeal carcinoma.Results:Compared with the control group, a marked reduction in D value [(0.80±0.13)×10 -3 mm 2/s vs. (1.19±0.27)×10 -3 mm 2/s], f value [(11.3±2.2)% vs. (15.6±3.3)%], mean ADC value [(0.92±0.17)×10 -3 mm 2/s vs. (1.16±0.19)×10 -3 mm 2/s] and variance (2 189±862 vs. 3 563±925) (all P < 0.05); a notable increase in skewness (0.50±0.17 vs. 0.31±0.12), kurtosis (0.56±0.13 vs. -0.21±0.06) and entropy (10.5±2.3 vs. 7.1±2.1) (all P < 0.05). The area under the curve (AUC) of IVIM sequence parameters and texture analysis metrics in the differential diagnosis of nasopharyngeal carcinoma was 0.763 and 0.803, respectively; the AUC, sensitivity and specificity of the combination of IVIM sequence parameters and texture analysis metrics for the differential diagnosis of nasopharyngeal carcinoma was 0.868, 89.6% and 86.8%, respectively. Compared with patients in stage Ⅰ-Ⅱ nasopharyngeal carcinoma, patients in stage Ⅲ-Ⅳ reported the lower D value [(0.75±0.13)×10 -3 mm 2/s vs. (0.89±0.16)×10 -3 mm 2/s], f value [(10.8±2.8)% vs. (12.1±3.0)%] (all P < 0.05), and the lower mean ADC value [(0.90±0.14)×10 -3 mm 2/s vs. (0.96±0.16)×10 -3 mm 2/s], and variance (2 063±831 vs. 2 431±846) (all P < 0.05), skewness (0.56±0.15 vs. 0.39±0.16), kurtosis (0.62±0.15 vs. 0.44±0.13) and entropy (11.0±2.1 vs. 9.1±2.4) (all P < 0.05). The AUC of IVIM sequence parameters and texture analysis metrics in differentiating nasopharyngeal carcinoma with different stages was 0.863 and 0.796, respectively; the AUC, sensitivity and specificity of the combination of IVIM sequence parameters and texture analysis metrics in differentiating nasopharyngeal carcinoma with different stages was 0.894, 85.4% and 90.7%, respectively. Conclusions:MRI texture analysis and IVIM quantitative analysis are of high value in the differential diagnosis and staging of nasopharyngeal carcinoma; and the texture analysis achieves higher sensitivity and specificity in the differential diagnosis and staging of nasopharyngeal carcinoma compared with IVIM quantitative analysis; the combined application of both has the highest overall efficacy.

Objective:To study the trend of menarche age in Han and Mongolian women born from 1951 to 2005 in Mongolian region.Methods:A cross-sectional cluster sampling survey method was adopted, From 2003 to 2019, a retrospective survey was carried out in three banners/counties in Tongliao region on the female population of Han and Mongols nationalities aged 16 to 46 and conducted under standardized survey procedures and quality control standards. The basic data of menarche age of women born between 1951 and 2005 were obtained. The changes and rules were analyzed by taking 1 year, 5 years and 10 years as nodes.Results:Totally 46 and conducted under standardized survey procedures and quality control standards 928 pepole (24 450 Han and 22 478 Mongolian) were recruited, the survey response rate was 96.09% (46 928/48 836). In one-year-period analysis, the menarche age gradually decreased from 1951 to 2005. The mean menarche age of Han and Mongolian women changed from (16.22±0.52) years and (15.86±1.24) years in 1951 to (12.37±1.15) years and (12.33±0.98) years in 2005, respectively. The mean menarche age of Han and Mongolian women decreased 3.85 years and 3.54 years. The trend of the mean menarche age's change showed a significant negative correlation with the years (all P<0.000 1). In five-year-period analysis, the mean menarche age of Han and Mongolian women changed from (15.54±1.45) years and (15.53±1.48) years from 1951 to 1955 to (12.41±0.97) years and (12.47±0.96) years from 2001 to 2005, the mean menarche age decreased 3.13 years (3.41 months ahead of schedule every 5 years on average) and 3.06 years (3.34 months ahead of schedule every 5 years on average) in Han and Mongolian women respectively. In ten-year-period analysis, the mean menarche age of Han and Mongolian women changed from (15.79±0.95) years and (15.53±1.33) years from 1951 to 1960 to (12.41±0.97) years and (12.47±0.96) years from 2001 to 2005, the mean menarche age decreased 3.38 years (6.76 months ahead of schedule every 10 years on average) and 3.06 years (6.12 months ahead of schedule every 10 years on average) in Han and Mongolian women respectively. During the 15 years from 1951 to 1965, 1966 to 1970, 1971 to 1990, and 1991 to 2000, they were concentrated at the ages of 15-16, 14-15, 13-14, and 12-13, respectively. The proportion of women at 11 years, 12 years and 13 years menarche age were 26.79% (457/1 706), 73.27% (1 250/1 706), and 92.85% (1 584/1 706) during 2001—2005 in Han women, while the proportion were 23.25% (653/2 809), 62.01% (1 742/2 809), and 90.14% (2 532/2 809) in Mongolian women. Conclusion:The menarche age decreased in Han and Mongolian women from 1951 to 2005, and the ethnic groups tended to be the same. It is recommended to start adolescent education at the age of 8-9 years and pay attention to the changing pattern of early onset of menarche.

Objective:To study the trend of menarche age in Han and Mongolian women born from 1951 to 2005 in Mongolian region.Methods:A cross-sectional cluster sampling survey method was adopted, From 2003 to 2019, a retrospective survey was carried out in three banners/counties in Tongliao region on the female population of Han and Mongols nationalities aged 16 to 46 and conducted under standardized survey procedures and quality control standards. The basic data of menarche age of women born between 1951 and 2005 were obtained. The changes and rules were analyzed by taking 1 year, 5 years and 10 years as nodes.Results:Totally 46 and conducted under standardized survey procedures and quality control standards 928 pepole (24 450 Han and 22 478 Mongolian) were recruited, the survey response rate was 96.09% (46 928/48 836). In one-year-period analysis, the menarche age gradually decreased from 1951 to 2005. The mean menarche age of Han and Mongolian women changed from (16.22±0.52) years and (15.86±1.24) years in 1951 to (12.37±1.15) years and (12.33±0.98) years in 2005, respectively. The mean menarche age of Han and Mongolian women decreased 3.85 years and 3.54 years. The trend of the mean menarche age's change showed a significant negative correlation with the years (all P<0.000 1). In five-year-period analysis, the mean menarche age of Han and Mongolian women changed from (15.54±1.45) years and (15.53±1.48) years from 1951 to 1955 to (12.41±0.97) years and (12.47±0.96) years from 2001 to 2005, the mean menarche age decreased 3.13 years (3.41 months ahead of schedule every 5 years on average) and 3.06 years (3.34 months ahead of schedule every 5 years on average) in Han and Mongolian women respectively. In ten-year-period analysis, the mean menarche age of Han and Mongolian women changed from (15.79±0.95) years and (15.53±1.33) years from 1951 to 1960 to (12.41±0.97) years and (12.47±0.96) years from 2001 to 2005, the mean menarche age decreased 3.38 years (6.76 months ahead of schedule every 10 years on average) and 3.06 years (6.12 months ahead of schedule every 10 years on average) in Han and Mongolian women respectively. During the 15 years from 1951 to 1965, 1966 to 1970, 1971 to 1990, and 1991 to 2000, they were concentrated at the ages of 15-16, 14-15, 13-14, and 12-13, respectively. The proportion of women at 11 years, 12 years and 13 years menarche age were 26.79% (457/1 706), 73.27% (1 250/1 706), and 92.85% (1 584/1 706) during 2001—2005 in Han women, while the proportion were 23.25% (653/2 809), 62.01% (1 742/2 809), and 90.14% (2 532/2 809) in Mongolian women. Conclusion:The menarche age decreased in Han and Mongolian women from 1951 to 2005, and the ethnic groups tended to be the same. It is recommended to start adolescent education at the age of 8-9 years and pay attention to the changing pattern of early onset of menarche.

Bioactive peptides play important roles in promoting human health, such as lowering blood pressure, blood sugar and blood lipid, anti-obesity, and anti-cancer. Thus, exploring functional bioactive peptides and developing efficient production technologies are of crucial importance. Herein, we review the development of function discovery and production technology for natural bioactive peptides. Presently, the top-down and bottom-up approaches are mainly used for the function discovery and production of natural active peptides. The top-down approach includes the direct extraction and identification for functional discovery, and the direct extraction, enzymatic hydrolysis and microbial fermentation for production. The bottom-up approach includes the polypeptide modification and database mining for functional discovery, and the chemical synthesis, enzyme synthesis, recombinant expression and cell-free synthesis for production. The top-down approach is usually associated with complicated process, lower efficiency, higher cost, harder quality control, and uncertain functionality, while the bottom-up approach is more suitable for the development of peptide drugs but difficult to be used for functional foods. With the technology development of sequencing and mass spectrometry, it is easier to obtain the proteomic information of various organisms at the molecular level. Based on the proteomic information, the top-down and bottom-up approaches can be combined to overcome the disadvantages of using these two approaches alone, thus providing a new strategy for the rapid development and production of natural active peptides.
Fermentation ; Humans ; Mass Spectrometry ; Peptides/metabolism* ; Proteomics ; Technology

Objective To evaluate the therapeutic value of endoscopic jejunal tube placement, endoscopic clipping, and over the scope clip ( OTSC) for digestive fistula. Methods Data of 38 patients with digestive fistulas at the First Affiliated Hospital of Soochow University admitted from July 2015 to July 2017 were retrospectively analyzed. Treatments were chosen according to the size and the site of the fistulas. Thirteen patients underwent jejunal tube placement ( the jejunal tube group ) , 20 underwent endoscopic clipping( the endoscopic clipping group) , and 5 underwent OTSC( the OTSC group) . The technical success rate, clinical cure rate and postoperative hospital stay were analyzed. Results All patients received the endoscopic operation successfully with no significant complications. In the jejunal tube group, 4 patients′fistulas fully healed, lesion was smaller after treatment in 3 patients, lesion didn′t change in 5 patients, and 1 patient died. The complete cure rate was 30. 8％ (4/13), and the postoperative hospital stay was 47. 4± 14. 1 days. For the endoscopic clipping group, 16 patients′ fistulas fully healed, lesion was no smaller compared with that before treatment in 3 cases, and 1 patient died. The complete cure rate was 80. 0％ ( 16/20) , and the postoperative hospital stay was 17. 9 ± 8. 9 days. Total patients in the OTSC group were completely cured, with 100. 0％( 5/5) of complete cure rate. One patient with refractory esophageal fistula underwent OTSC repeatedly with endoscopic clipping, and the healing time of fistula was 102 days. The postoperative hospital stay of 4 others was 5. 3±1. 7 days. The cure rate of fistula was higher (P=0. 03, P<0. 001) and the postoperative hospital stay was shorter ( P=0. 04, P<0. 001) in the OTSC group compared with the clipping group and the jejunal tube group. Conclusion Endoscopic management is safe and effective for digestive fistulas with less trauma, easy performance and short time of healing.

Classical swine fever (CSF), one of OIE-listed diseases, is a highly contagious and economically important disease of pigs. Classical swine fever virus (CSFV) is the causative agent of CSF. The capsid (C) protein and the glycoproteins Erns, E1 and E2, are structural components of the virus. E2 is the most immunogenic protein of the CSFV glycoproteins, inducing neutralizing antibodies that provide protection against lethal CSFV challenge. In a previous study, we developed a murine MAb HQ06 against the E2 protein of CSFV. In this study, the variable region genes from HQ06 and constant regions gene of swine antibody are fused and cloned into the eukaryotic expression vectors to establish a cell line which can stably express a chimeric porcinized MAb (cHQ06) against E2 in CHO cell. The purified cHQ06 antibody protein was determined to be successfully generated, which exhibited high reactivity between cHQ06 and the E2 protein of CSFV by enzyme-linked immunosorbent assay (ELISA) and Western blotting. More importantly, we investigated the neutralizing activity of cHQ06 against CSFV. In conclusion, this study generated cHQ06 for efficient and stable production which can be used against to develop novel diagnostic assays, investigate the structure and function of the E2 protein and generate novel preparations of diagnosis and treatment.