Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

OBJECTIVE: To investigate the significance of serum β₂-microglobulin (β₂-MG) for survival and relapse of patients with diffuse large B-cell lymphoma (DLBCL) in the rituximab era. METHODS: Clinical data of 92 patients with DLBCL admitted from December 2003 to July 2015 were retrospectively analyzed. The optimal cutoff value of β₂-MG levels for predicting prognosis of the DLBCL patients was determined using receiver operating characteristic (ROC) curve. KaplanMeier analysis was used to estimate progression-free survival (PFS) and overall survival (OS). Cox logistic regression analysis was used to explore potential prognostic factors associated with survival. Binary logistic regression analysis was used to analyze the relationship between various factors and relapse. RESULTS: The most discriminative cutoff value for β₂-MG level was determined to be 2.25 mg/L by the ROC curve. Subgroup analysis showed that patients in the elevated β₂-MG (＞2.25 mg/L) group had significantly worse PFS(P =0.006) and a trend toward worse OS compared with those in the low β₂-MG (≤2.25 mg/L) group(P =0.053). Univariate analysis showed that elevated β₂-MG, age>60 years, Ann Arbor stage III-IV, as well as IPI score ≥3 were associated with worse PFS. Binary logistic regression analysis showed that age＞60 years and β₂-MG＞2.25 mg/L were potential influencing factors for relapse of DLBCL patients. CONCLUSION Serum β ₂-MG might be an important predictor for the survival and relapse of DLBCL patients in the rituximab era.
Humans ; Lymphoma, Large B-Cell, Diffuse/drug therapy* ; beta 2-Microglobulin/blood* ; Rituximab ; Retrospective Studies ; Prognosis ; Female ; Male ; Middle Aged ; Recurrence ; ROC Curve

Residual formaldehyde(FA)in environmental water samples,certain aquatic products,vegetables,and other food items poses a severe threat to environmental safety and human health.Therefore,the rapid,sensitive and selective detection of FA is very essential for food safety and environmental protection.In this work,a new 1,8-naphthalimide-based fluorescent probe NIPh for FA detection was synthesized by using hydrazide group as a reactive site for FA and naphthalimide as a fluorophore.Based on the photoinduced electron transfer(PET)process,the prepared probe NIPh showed a remarkable fluorescence lighting-up response towards FA in aqueous medium with high selectivity,fast response(within 4 min)and a low limit of detection(0.16 μmol/L).Further,the probe NIPh was also successfully applied as optical probe to detection of FA in cabbage,enoki mushroom,pond and tap water samples,with recoveries over 96%,and relative standard deviations less than 4%,demonstrating tremendous potential in FA monitoring in the field of food industry and environment.

AIM: To analyze the mechanism of Usher syndrome(USH)caused by Adgrv1 gene variation through the Hedgehog(Hh)signaling pathway.METHODS: Based on Adgrv1 gene variant mice(Adgrv1-/-), taking wild type(WT)C57BL/6 mice as controls, the expression of Adgrv1 gene and the structure of retina and cell cilia were analyzed by qRT-PCR, HE, transmission electron microscopy, and immunofluorescence. Additionally, the changes of key factors in the Hh signaling pathway caused by Adgrv1 gene variation were observed.RESULTS: The Adgrv1 gene was expressed in both the retina and primary cultured lung fibroblasts of Adgrv1-/- mice, but the expression levels were significantly decreased. The Adgrv1 gene variation can cause dissolution of the outer disc membrane of the retinal photoreceptors and significantly shorten the cilia length in primary lung fibroblasts. In the Hh signaling pathway, the expression of Ptch1 and Gli genes of Adgrv1-/- was significantly reduced, while the expression of PKA genes was increased.CONCLUSION:The Adgrv1 gene variation leads to shortened cell cilia and dissolution of the outer disc membrane of the retinal photoreceptors, resulting in retinitis pigmentosa, which is related to decreased expression of PTCH1 and GLI1 proteins in the Hh pathway.

Objective To investigate the screening and prevalence of tuberculosis among freshmen in different schools in Baoding City,and provide reference for tuberculosis control in schools.Methods Screening data of tu-berculosis and tuberculin test(PPD)of freshmen from 156 schools in different regions of Baoding City from Septem-ber 2021 to March 2022 were collected.PPD screening results of students from different regions and different school stages were analyzed and compared.Results A total of 68 177 freshmen from 156 schools were investigated for suspected symptoms and close contact history of pulmonary tuberculosis.PPD screening was conducted on 63 939 students.13 821 students were PPD positive,with a positive rate of 21.62％.3 083 students were strongly posi-tive,with a strong positive rate of 4.82％.15 cases of tuberculosis were found,and the reported incidence was 23.46/100 000.PPD positive rate and strong positive rate as well as incidence of tuberculosis in students in different school stages presented statistically significant differences(all P＜0.01).Positive rate and strong positive rate in students in different school stages showed upward trends(all P＜0.01).PPD positive rate and strong positive rate of students from schools in plain and mountainous areas presented statistically significant differences([22.28％vs 17.89％];[4.85％vs 3.62％],both P＜0.01).PPD positive rate and strong positive rate between students from boarding junior school and non-boarding junior school were significantly different,respectively([23.94％vs 21.60％];[5.07％vs 3.56％],both P＜0.01).Conclusion It is necessary to strengthen tuberculosis screening and health education for freshmen,especially those from boarding schools in plain areas,screening latent Mycobac-terium tuberculosis infection as early as possible,take corresponding measures to prevent and control the spread of tuberculosis,and reduce the risk of tuberculosis.