Objective Currently, there is no commercially available quantitative detection kit for the main Felis domestic allergen (Fel d 1) in China. To establish a rapid detection method for Fel d 1, this study aims to prepare monoclonal antibodies against Fel d 1 protein. Methods The codon preference of Escherichia coli was utilized to optimize and synthesize the Fel d 1 gene. The prokaryotic expression plasmid pET-28a-Fel d 1 was constructed and used to express and purify the recombinant Fel d 1 protein. Subsequently, the recombinant protein was immunized into BALB/c mice and monoclonal antibodies (mAbs) were prepared by the hybridoma technique. An indirect ELISA was established using the recombinant Fel d 1 as the coating antigen, and hybridoma cell lines were screened for positive clones. The specificity and antigenic epitopes of the mAbs were confirmed by Western blot analysis. Finally, the selected hybridoma cells were injected into the peritoneal cavities of BALB/c mice for large-scale monoclonal antibody production. Results The recombinant plasmid pET-28a-Fel d 1 was successfully constructed, and soluble Fel d 1 protein was obtained after optimizing the expression conditions. Western blot and antibody titer assays confirmed the successful isolation of two hybridoma cell lines, 7D11 and 5H4, which stably secreted mAbs specific to Fel d 1. Antibody characterization revealed that the 5H4 mAb was of the IgG2a subtype and could recognize the amino acid region 105-163 of Fel d 1, while the 7D11 mAb was the IgG1 subtype and could recognize the amino acid region 1-59. Conclusion The high-purity recombinant Fel d 1 protein produced in this study provides a promising alternative for clinical immunotherapy of cat allergies. Furthermore, the monoclonal antibody prepared in this experiment lays a material foundation for the in-depth study of the biological function of Fel d 1 and the development of ELISA detection.
Animals ; Antibodies, Monoclonal/biosynthesis* ; Mice, Inbred BALB C ; Cats ; Mice ; Allergens/genetics* ; Glycoproteins/genetics* ; Enzyme-Linked Immunosorbent Assay ; Hybridomas/immunology* ; Recombinant Proteins/genetics* ; Female ; Antibody Specificity

Objective:To investigate the value of 3.0T magnetic resonance imaging(MRI)in the assessment for clinically pathologic features of prostate cancer(PCa).Methods:The case data of 102 PCa patients who were confirmed by histology in The Second Affiliated Hospital of Bengbu Medical University from April 2020 to July 2024 were retrospectively analyzed.51 PCa patients of them were included in cancer group,and 51 patients with prostatic hyperplasia were included in hyperplasia group.Multi-parametric MRI was implemented in all patients.Imaging performance was scored by using Prostate Imaging Reporting and Data System version 2.1(PI-RADS v2.1).The distribution of scores between the two groups was compared and analyzed.The correlations between the PI-RADS v2.1 scores and PCa clinically pathological features which included Gleason scores,serum prostate specific antigen(PSA)level,tumor staging and aggressiveness were analyzed and explored by using Spearman correlation analysis.The diagnostic efficacy of the 3.0T MRI technique for PCa was analyzed by using the receiver operating characteristic(ROC)curve.Results:The PI-RADS v2.1 score of cancer group was 4(4,5)scores,which was significantly higher than 2(3,4)scores of hyperplasia group,and the difference of that between two groups was significant(U=369.5,P<0.05).The rate of high scores(4,5 scores)of cancer group was more than that of hyperplasia group in the distribution of scores,and the difference of that between two groups was significant(x2=51.220,P<0.05).In patients of cancer group,PI-RADS v2.1 score showed significant correlation with serum PSA level,Gleason score,tumor staging and aggressiveness(P<0.05),respectively,and they were significant(r=0.815,0.723,0.693,P<0.05).ROC curve analysis showed that the area under curve(AUC)value of PI-RADS v2.1 score was 0.858(95%CI:0.783-0.932)in diagnosing PCa,which can effectively distinguish PCa and prostate hyperplasia.It had higher diagnostic efficacy,which was higher than that of serum PSA.Conclusions:3.0T MRI has favorable accuracy in diagnosing PCa,and it can be used as a noninvasive test method to diagnose and assess pathological features of tumor.

Head and neck squamous cell carcinoma (HNSCC) is a tumor characterized by immunosuppressive tumor microenvironment (TME) and poor prognosis. Its complex immune evasion mechanisms are primarily related to T cell dysfunction and the suppression of anti-tumor immune responses. Immunotherapy aims to modulate the patient’s immune system to recognize and eliminate tumor cells, thereby achieving therapeutic goals. Studies have demonstrated that the TME plays a pivotal role in HNSCC pathogenesis, facilitating tumorigenesis, progression, and therapy resistance, ultimately contributing to adverse clinical outcomes. Advances in technology have deepened understanding of the TME, paving the way for novel therapeutic interventions in HNSCC. This review comprehensively summarizes the efficacy and safety of TME-targeted immunotherapies, integrating evidence from published clinical trials, while proposing insights for future research to develop more effective therapeutic strategies.

Purpose To investigate the cortical thickness features in Parkinson's disease(PD)patients at various stages and their association with dopamine transporter(DAT)levels in the putamen.Materials and Methods We retrospectively enrolled 30 PD patients and 15 healthy subject who underwent 11C-CFT PET and T1 MRI scans at the Department of Nuclear Medicine/PET Center of Huashan Hospital from August 2016 to October 2020.DAT average radioactivity in the anterior and posterior putamen was analysis using SPM12 software,with the occipital lobe as the reference region.Cortical segmentation and reconstruction were performed on T1 images using Freesurfer v7.2.The differences in cortical thinning between the groups were compared using a general linear model.Additionally,the relationship between cortical thickness in various brain regions and DAT uptake in the putamen were assessed.Results Compared to healthy subjects,significant cortical thinning was observed in the left inferior parietal lobule and the right and left inferior middle frontal gyrus of PD patients(all P<0.05).There was a significant positive correlation between the cortical thickness of the left inferior parietal lobule and right inferior middle frontal gyrus and DAT uptake in the corresponding anterior/posterior parts of the putamen(r=0.30-0.47,all P<0.05).Furthermore,the DAT uptake in the right precentral gyrus was positively correlated with the ipsilateral posterior putamen,exhibiting a stronger correlation than on the contralateral side(r=0.32,P=0.029).Conclusion The results show that the thickness of the thinning cortex area in the PD patients correlates significantly positively with DAT levels in the putamen,highlighting the importance of the basal ganglia cortical circuit and providing a basis for further research into the neural mechanisms of PD.

Purpose To investigate the cortical thickness features in Parkinson's disease(PD)patients at various stages and their association with dopamine transporter(DAT)levels in the putamen.Materials and Methods We retrospectively enrolled 30 PD patients and 15 healthy subject who underwent 11C-CFT PET and T1 MRI scans at the Department of Nuclear Medicine/PET Center of Huashan Hospital from August 2016 to October 2020.DAT average radioactivity in the anterior and posterior putamen was analysis using SPM12 software,with the occipital lobe as the reference region.Cortical segmentation and reconstruction were performed on T1 images using Freesurfer v7.2.The differences in cortical thinning between the groups were compared using a general linear model.Additionally,the relationship between cortical thickness in various brain regions and DAT uptake in the putamen were assessed.Results Compared to healthy subjects,significant cortical thinning was observed in the left inferior parietal lobule and the right and left inferior middle frontal gyrus of PD patients(all P<0.05).There was a significant positive correlation between the cortical thickness of the left inferior parietal lobule and right inferior middle frontal gyrus and DAT uptake in the corresponding anterior/posterior parts of the putamen(r=0.30-0.47,all P<0.05).Furthermore,the DAT uptake in the right precentral gyrus was positively correlated with the ipsilateral posterior putamen,exhibiting a stronger correlation than on the contralateral side(r=0.32,P=0.029).Conclusion The results show that the thickness of the thinning cortex area in the PD patients correlates significantly positively with DAT levels in the putamen,highlighting the importance of the basal ganglia cortical circuit and providing a basis for further research into the neural mechanisms of PD.

Objective To observe the correlation between cortical thickness and pathological deposition of β-amyloid(Aβ)in patients with Alzheimer disease(AD)induced mild cognitive impairment(MCI)or dementia.Methods Totally 22 AD patients were prospectively enrolled and divided into dementia group(n=12)and MCI group(n=10)based on the degree of cognitive impairment,while 17 healthy individuals without cognitive impairment were recruited as control group.MR examination and 18F-florbutaben(18F-FBB)PET imaging were performed,the cortical thickness and Aβ deposition value(Centiloid[CL]value)were calculated and compared among 3 groups and between each 2 groups,then the correlation between the above two indexes was analyzed.Results The cortical thickness in dementia group,MCI group and control group was(2.18±0.14),(2.35±0.08)and(2.36±0.09)mm,respectively,with significant difference among 3 groups(P＜0.05).The cortical thickness in dementia group was significantly thinner than that in MCI group and control group(both P＜0.05).CL value in dementia group,MCI group and control group was 77.97(63.07,95.55),65.51(54.54,90.50)and-1.17(-9.66,4.88),respectively,with significant difference among 3 groups(P＜0.05).CL value in dementia group and MCI group were significantly higher than in control group(both P＜0.05).The cortical thickness was moderately negatively correlated with CL value in MCI group(r=-0.580,P=0.048)but not in the other 2 groups(both P＞0.05).Conclusion The cortical thickness was moderately negatively correlated with abnormal deposition of Aβ in patients with AD induced MCI,but was not during dementia.

Objective To observe the correlation between cortical thickness and pathological deposition of β-amyloid(Aβ)in patients with Alzheimer disease(AD)induced mild cognitive impairment(MCI)or dementia.Methods Totally 22 AD patients were prospectively enrolled and divided into dementia group(n=12)and MCI group(n=10)based on the degree of cognitive impairment,while 17 healthy individuals without cognitive impairment were recruited as control group.MR examination and 18F-florbutaben(18F-FBB)PET imaging were performed,the cortical thickness and Aβ deposition value(Centiloid[CL]value)were calculated and compared among 3 groups and between each 2 groups,then the correlation between the above two indexes was analyzed.Results The cortical thickness in dementia group,MCI group and control group was(2.18±0.14),(2.35±0.08)and(2.36±0.09)mm,respectively,with significant difference among 3 groups(P＜0.05).The cortical thickness in dementia group was significantly thinner than that in MCI group and control group(both P＜0.05).CL value in dementia group,MCI group and control group was 77.97(63.07,95.55),65.51(54.54,90.50)and-1.17(-9.66,4.88),respectively,with significant difference among 3 groups(P＜0.05).CL value in dementia group and MCI group were significantly higher than in control group(both P＜0.05).The cortical thickness was moderately negatively correlated with CL value in MCI group(r=-0.580,P=0.048)but not in the other 2 groups(both P＞0.05).Conclusion The cortical thickness was moderately negatively correlated with abnormal deposition of Aβ in patients with AD induced MCI,but was not during dementia.

Objective:To investigate the value of 3.0T magnetic resonance imaging(MRI)in the assessment for clinically pathologic features of prostate cancer(PCa).Methods:The case data of 102 PCa patients who were confirmed by histology in The Second Affiliated Hospital of Bengbu Medical University from April 2020 to July 2024 were retrospectively analyzed.51 PCa patients of them were included in cancer group,and 51 patients with prostatic hyperplasia were included in hyperplasia group.Multi-parametric MRI was implemented in all patients.Imaging performance was scored by using Prostate Imaging Reporting and Data System version 2.1(PI-RADS v2.1).The distribution of scores between the two groups was compared and analyzed.The correlations between the PI-RADS v2.1 scores and PCa clinically pathological features which included Gleason scores,serum prostate specific antigen(PSA)level,tumor staging and aggressiveness were analyzed and explored by using Spearman correlation analysis.The diagnostic efficacy of the 3.0T MRI technique for PCa was analyzed by using the receiver operating characteristic(ROC)curve.Results:The PI-RADS v2.1 score of cancer group was 4(4,5)scores,which was significantly higher than 2(3,4)scores of hyperplasia group,and the difference of that between two groups was significant(U=369.5,P<0.05).The rate of high scores(4,5 scores)of cancer group was more than that of hyperplasia group in the distribution of scores,and the difference of that between two groups was significant(x2=51.220,P<0.05).In patients of cancer group,PI-RADS v2.1 score showed significant correlation with serum PSA level,Gleason score,tumor staging and aggressiveness(P<0.05),respectively,and they were significant(r=0.815,0.723,0.693,P<0.05).ROC curve analysis showed that the area under curve(AUC)value of PI-RADS v2.1 score was 0.858(95%CI:0.783-0.932)in diagnosing PCa,which can effectively distinguish PCa and prostate hyperplasia.It had higher diagnostic efficacy,which was higher than that of serum PSA.Conclusions:3.0T MRI has favorable accuracy in diagnosing PCa,and it can be used as a noninvasive test method to diagnose and assess pathological features of tumor.

Objective:To perform harmonization based on the ComBat method for PET brain imaging scanned by different types of scanners from the same manufacturer and explored its effect on center effect.Methods:The three-dimensional (3D) Hoffman brain model was scanned by two different PET/CT instruments (Siemens Biograph64 TruePoint and Biograph128 mCT). Fourteen healthy subjects (8 males, 6 females, age: (57.7±9.5) years) underwent 18F-FDG PET/CT on Siemens Biograph64 TruePoint and 12 healthy subjects (9 males, 3 females, age: (55.8±10.5) years) underwent 18F-FDG PET/CT on Siemens Biograph128 mCT (all from Huashan Hospital, Fudan University; from November 2020 to March 2023). The whole brain was divided into 116 brain regions based on the anatomical automatic labeling (AAL) brain template. The ComBat method was applied to harmonized the PET data from brain model and healthy subjects. Mann-Whitney U test was performed on the radioactive counts and SUV ratios (SUVR) before and after homogenization acquired by both PET/CT instruments. Voxel-based statistical parametric mapping (SPM) independent-sample t test was also performed on data of healthy subjects. Results:In 3D Hoffman brain model, radioactivity counts (5 590.33(4 961.67, 6 102.95) vs 6 116.03(5 420.97, 6 660.66); z=-9.35, P<0.001) and SUVR (1.35(1.19, 1.47) vs 1.37(1.21, 1.49); z=-3.63, P<0.001) were significantly different between the two PET/CT scanners before harmonization and not after harmonization (radioactivity counts: 5 845.95(5 192.68, 6 378.63) vs 5 859.17(5 193.84, 6 380.52); SUVR: 1.35(1.20, 1.48) vs 1.36(1.20, 1.49); both z=-0.68, both P=0.498). In the healthy subjects, radioactive counts in 19 brain regions (12 422.78(11 181.60, 13 424.28)-18 166.40(15 882.80, 18 666.27); z values: from -3.24 to -2.06, all P<0.05) and SUVR in 40 brain regions (1.46(1.41, 1.52)-2.28(2.16, 2.36); z values: from -3.65 to -1.70, all P<0.05) were significantly different between the two scanners before harmonization, while after homogenization there were no statistical differences for all 116 brain regions (radioactivity counts: 9 243.55(8 502.38, 9 854.87)-20 419.60(19 931.51, 21 179.43); z values: from -0.72 to 0, all P>0.05; SUVR: 1.04(1.01, 1.09)-2.32(2.24, 2.40); z values: from -0.82 to 0, all P>0.05). SPM showed that significant differences of glucose metabolism in the cerebral cortex, basal ganglia, midbrain and cerebellum were found in healthy subjects between the two PET/CT scanners before homogenization, and brain regions with obvious differences reduced after homogenization. Conclusion:ComBat harmonization method is efficient at removing the center effect among different types of PET/CT scanners from the same manufacturer and may provide a simple and easy-to-implement homogenization for multicenter brain imaging studies.

OBJECTIVE To identify the key genes associated with lymph node metastasis in head and neck squamous carcinoma(HNSCC)and construct a prognostic model based on The Cancer Genome Atlas(TCGA)database.METHODS Differentially expressed genes(DEGs)between tumor tissues and normal tissues in the HNSCC dataset in the TCGA database were screened by R software,and gene modules related to lymph node metastasis were screened by weighted gene co-expression network(weighted gene co-expression network analysis,WGCNA).Prognostic risk models were constructed by univariate cox regression and Lasso regression analyses.Survival analyses and ROC curves were performed to verify the Reliability of prognostic models.CIBERSORT,TIMER and ESTIMATE algorithms analysed the differences in the tumor micro environment(TME)of different risk groups.RESULTS There were 2 565 DEGs screened,and a set of gene modules highly correlated with disease prognosis and lymph node metastasis were obtained by WGCNA analysis,and correlation analysis verified that the expression of genes in this gene module was highly correlated with lymph node metastasis.Univariate cox regression and Lasso regression were used to identify 6 key prognostic genes:CDKN2A,CCNE2,KNSTRN,AURKA,KPNA2,and ORC1.A prognostic model was constructed based on the 6 genes,and survival analysis showed that the prognosis of the high-risk group was significantly worse than that of the low-risk group(P<0.0001).The ROC curves demonstrated the good predictive performance of this prognostic model.CIBERSORT analyses revealed differences in the immune microenvironment of tumors in different risk groups.CONCLUSION The 6 key prognostic genes screened were helpful in predicting the prognosis of HNSCC patients and were closely associated with the immune microenvironment of HNSCC,suggesting that they may serve as potential therapeutic targets.