ObjectiveTo investigate the imaging features of calcium salt deposition and serological markers in patients with alveolar echinococcosis through a retrospective analysis， as well as independent risk factors for the degree of calcium salt deposition in lesions， and to provide a basis for assessing disease process. MethodsA retrospective analysis was performed for the imaging and clinical data of 107 patients with alveolar echinococcosis who were admitted to The First Affiliated Hospital of Shihezi University from December 2023 to June 2025， and according to the volume of calcium salt deposition， they were divided into non-deposition group with 16 patients， mild deposition group with 52 patients， moderate deposition group with 16 patients， and severe deposition group with 23 patients. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between groups， and the χ² test or Fisher’s exact test was used for comparison of categorical data between groups. The four groups were further combined into the low deposition group （no/mild deposition） and the high deposition group （moderate/severe deposition）. A binary logistic regression analysis was used to investigate the independent influencing factors for calcium salt deposition， and a predictive model was established. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model， and the Bootstrap method was used for internal validation. ResultsThere were significant differences between the four groups in sex distribution， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.05）. The univariate analysis showed that there were significant differences between the four groups in sex， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， alanine aminotransferase， albumin， creatinine， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.1）. The multi-collinearity diagnosis showed that the VIF values for all continuous variables ranged from 1.104 to 1.760， suggesting that collinearity did not affect modeling. An ordinal logistic regression model was established based on sex， involvement of other sites， calcium ion， lymphocyte percentage， and uric acid. The multivariate analysis showed that lymphocyte percentage （odds ratio ［OR］=1.106， 95% confidence interval ［CI］： 1.041 — 1.174， P=0.001） and blood calcium level （OR=0.005， 95%CI： 0.000 —0.230， P=0.007） were independent influencing factors for the degree of calcium salt deposition. The regression equation was established as Logit（P）=8.231 + 0.100 × lymphocyte percentage -5.344 × calcium ion. The ROC curve analysis showed that the model had an area under the ROC curve of 0.716， with a Youden index of 0.353， a sensitivity of 1.000， and a specificity of 0.353. The Hosmer-Lemeshow test showed that the model had poor calibration （χ²=20.688， P=0.008）. The Bootstrap method with 1000 repeated samples showed that the estimated values of lymphocyte percentage （OR=1.106， 95%CI： 1.049 — 1.186， P=0.002） and calcium ion （OR=0.005， 95%CI： 0.000 — 0.214， P=0.010） were consistent with the original model， and the confidence intervals did not include 1， which further supported the reliability of the model. ConclusionBoth lymphocyte percentage and blood calcium level are independent influencing factors for calcium salt deposition in alveolar echinococcosis， and the degree of calcium salt deposition in alveolar echinococcosis lesions increases with the reduction in blood calcium level and the increase in lymphocyte percentage.

Systemic lupus erythematosus (SLE) is an autoimmune disease of unknown etiology, primarily characterized by systemic inflammation and hyperactivation of both B and T lymphocytes. Key immunological features include increased consumption of complement components, sustained overproduction of type I interferons (IFN-I), and persistent production of a broad spectrum of autoantibodies, such as anti-dsDNA antibodies. However, the use of autoantibodies as biomarkers for the early detection of SLE is associated with a high false-positive rate, suggesting that antibody characteristics evolve during disease progression.N-glycosylation is a critical post-translational modification of antibodies that significantly influences their structure and receptor-binding properties, thereby modulating biological activities and functions. In particular, glycosylation patterns affect the antibody’s affinity for Fc gamma receptors (FcγRs), subsequently regulating various antibody-mediated immune responses. Numerous studies have investigated the impact of individual monosaccharides—such as sialic acid, fucose, and N-acetylglucosamine, which constitute N-glycans—on the immunological functions of antibodies. This review systematically summarizes the aberrant immunoglobulin G (IgG) N-glycosylation patterns observed in SLE patients, with a focus on correlations between disease progression or complications and quantitative alterations in individual glycan components. We first review how different types of N-glycosylation modifications affect the biological activity and functional properties of IgG, particularly regarding the effects of specific monosaccharides—such as sialic acid, fucose, and galactose—on FcγR binding affinity and the resulting downstream immune functions. We then summarize the differential expression of IgGN-glycans and glycosyltransferase genes between SLE patients and healthy controls, and outline the associations between glycosylation changes and SLE-related pathological responses. In response to the inconsistencies and limitations in current research, we propose potential explanations from the perspectives of study methodologies, participant characteristics, and variations in N-glycan structures, aiming to provide a constructive reference for future studies. Given the close relationship between antibody glycosylation and SLE, this review highlights the potential of IgG N-glycosylation patterns as promising biomarkers for early diagnosis and disease monitoring. In terms of therapy, we discuss how IgG glycosylation can enhance the efficacy of intravenous immunoglobulin (IVIg) treatment and introduce emerging therapeutic strategies that aim to modulate endogenous IgG N-glycans as a novel glycan-based approach for SLE management. In summary, N-glycans are essential structural components of antibodies that regulate immune responses by modulating antibody-receptor interactions. Aberrant glycosylation is closely associated with the pathogenesis of autoimmune diseases, including SLE. However, due to the structural diversity of N-glycans and the complexity of glycosylation processes, the precise roles of IgGN-glycosylation in SLE pathophysiology remain incompletely understood. Moreover, therapeutic strategies targeting IgG glycosylation are still in early development and have not yet reached clinical application. Continued progress in glycan analysis technologies and other biological tools, along with interdisciplinary collaboration, will be essential for advancing this field.

Objective: To analyze the regulatory effect of Atractylodes macrocephala Koidz. extract on the immune function of mice, so as to provide a reference for the study of the mechanism of Atractylodes macrocephala Koidz. regulating immune function. Methods: Forty-eight SPF healthy male ICR mice were randomly divided into control group and low (0.5 g/kg), medium (2.0 g/kg), and high (4.0 g/kg) dose groups, with 12 mice in each group. The mice in control group were given the pure water by gavage once a day, while the mice in each dose group were given the corresponding dose of Atractylodes macrocephala Koidz. extract by gavage once a day. The delayed allergy test was performed for 28 consecutive days. Sixty SPF healthy male ICR mice were randomly divided into a control group, polyinosinic acid injection group (model group), and low, medium, and high dose groups, with 12 mice in each group. The mice in control group were given the pure water by gavage once a day, while the mice in each dose group were given the corresponding dose of Atractylodes macrocephala Koidz. extract by gavage once a day for 14 consecutive days. On days 13 and 14 of administration, the mice in the model group and each dose group were intraperitoneally injected with sterile polyinosinic acid solution to perform the immunosuppressive experiment induced by polyinosinic acid. The mouse ear pieces were weighed, and the thymus and spleen of the mice were weighed and stained with HE to calculate the pathological scores. Peripheral blood was collected for blood cell detection and T cell classification. Results: Mice in each group had normal feeding, activity, and growth status, and no abnormality was observed. In the delayed allergy test, compared with the control group, the degree and rate of ear swelling in the low, medium and high dose groups were higher, the white blood cell count in the medium dose group was higher, and the absolute values of lymphocytes in the low and medium dose groups were higher (all P<0.05). Compared with the control group, the pathological scores of the thymus and spleen in the model group were higher (both P<0.05). In the immunosuppressive experiments in mice induced by polyinosinic acid, compared with the model group, the pathological score of the thymus in the high dose group was lower (P<0.05), and the boundary between the thymus cortex and medulla was improved. Conclusions Atractylodes macrocephala Koidz. extract can increase the degree of ear swelling and peripheral blood white blood cell count in mice. High dose of Atractylodes macrocephala Koidz. extract can improve the thymus injury induced by polyinosinic acid, and has an immunomodulatory effect.

Objective:To develop a predictive model for selecting patients with high-risk localized prostate cancer(HRLPC)who are suitable for preoperative maximum androgen blocking(MAB)therapy.Methods:This study was conducted among 96 patients with HRLPC who were diagnosed based on transrectal biopsy and underwent radical prostatectomy in Department of Urology,The First Af-filiated Hospital of Chongqing Medical University,from January 1,2021 to June 30,2024,and all patients received MAB therapy for 3 months before surgery and were followed up for 6 months after surgery.Related data were collected from all patients,including baseline demographic features,laboratory data,imaging findings,perioperative data,and follow-up information.At first,the association between prostate-specific antigen density(PSAD)stratification after MAB therapy and pathological and biochemical benefits was analyzed to determine the optimal PSAD group,then machine learning was used to identify important variables and establish a predictive model,and finally,the model was evaluated using the ROC curve,the calibration curve,and clinical applicability assessment.Results:The low PSAD group[PSAD<0.17 ng/(mL·cm3)]showed the best results of perioperative outcomes,pathological downgrading,the rate of undetectable PSA after-surgery,recovery from urinary incontinence,and PSA follow-up(P<0.05).The model was established based on prostate volume,low-density lipoprotein cholesterol,PSAD,smoking history,total cholesterol,PSA,and body mass index,and this predictive model had good performance(with an area under the ROC curve of 0.769)and showed a certain degree of clinical applica-bility.Conclusion:Patients in the low PSAD group tend to have better pathological and biochemical benefits.This study provides a re-liable predictive model to assist in the individualized treatment of patients with HRLPC.

Objective To analyze the lipid metabolism levels in patients with non-functional adrenal in-cidentalomas(NFAI)and the efficacy of different treatment approaches.Methods A retrospective analysis was conducted on the clinical data,including clinical manifestations,metabolism-related diseases,lipid metabo-lism levels,and hormone levels,of 114 patients diagnosed with NFAI who sought medical attention at this hospital from September 2021 to June 2024.The patients were divided into the surgical group(receiving surgi-cal treatment)and the non-surgical group(receiving conservative treatment).The surgical group was further categorized into the normal lipid group and the dyslipidemia group based on preoperative lipid levels.Changes in lipid metabolism levels before and after treatment were compared between the surgical and non-surgical groups,as well as between the normal lipid and dyslipidemia groups,to evaluate the impact of NFAI on lipid metabolism.Results Among the 114 patients,76 were divided into the surgical group and 38 into the non-sur-gical group.The surgical group was further divided into 36 patients in the normal lipid group and 40 in the dyslipidemia group.In the surgical group,triglycerides(TG)and low-density lipoprotein(LDL)levels de-creased significantly after treatment compared to pre-treatment levels(P=0.007,0.002).In contrast,no sta-tistically significant difference was observed in the non-surgical group between pre-and post-treatment TG and LDL levels(P＞0.05).Compared with the non-surgical group,the surgical group showed a greater reduc-tion in TG and LDL levels before and after treatment(P=0.049,0.002).In the dyslipidemia group,TG and LDL levels returned to normal levels after treatment and significantly decreased compared to those before treatment,with statistical significance(P=0.007,0.001).However,in the normal lipid group,there was no statistically significant difference in TG and LDL levels before and after treatment(P=0.640,0.499).Com-pared with the normal lipid group,the dyslipidemia group showed a greater reduction in TG and LDL levels before and after treatment(P＜0.001,P=0.022).The final pathological results of patients in the surgical group included 59 cases of cortical adenoma,6 cases of cyst,7 cases of myelolipoma,and 4 cases of nodular hy-perplasia.In patients with cortical adenoma,the postoperative TG and LDL levels significantly decreased com-pared to those before surgery(P=0.008,0.014),while there was no statistically significant difference in TG and LDL levels before and after treatment in patients with cysts,myelolipomas,and nodular hyperplasia(P＞0.05).Conclusion NFAI may adversely affect lipid metabolism and is associated with elevated TG and LDL-C levels.Compared with conservative treatment,surgical resection can significantly reduce the body's TG and LDL levels and effectively improve abnormal lipid metabolism.

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*

BACKGROUND: Hypertension is associated with an increased risk of calcific aortic valve stenosis (CAVS). However, the directionality of causation between blood pressure traits and aortic stenosis is unclear, as is the benefit of antihypertensive drugs for CAVS. METHODS: Using genome-wide association studies (GWAS) summary statistics, we performed bidirectional two-sample univariable mendelian randomization (UVMR) to assess the causal associations of systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP) with CAVS. Multivariable mendelian randomization (MVMR) was conducted to evaluate the direct effect of hypertension on CAVS, adjusting for confounders. Drug target mendelian randomization (MR) and summary-level MR (SMR) were used to estimate the effects of 12 classes of antihypertensive drugs and their target genes on CAVS risk. Inverse variance weighting was the primary MR method, with sensitivity analyses to validate results. RESULTS: UVMR showed SBP, DBP, and PP have causal effects on CAVS, with no significant reverse causality. MVMR confirmed the causality between hypertension and CAVS after adjusting for confounders. Drug-target MR analyses indicated that calcium channel blockers (CCBs), loop diuretics, and thiazide diuretics via SBP lowering exerted protective effects on CAVS risk. SMR analysis showed that the CCBs target gene CACNA2D2 and ARBs target gene AGTR1 were positively associated with CAVS risk, while diuretics target genes SLC12A5 and SLC12A1 were negatively associated with aortic stenosis risk. CONCLUSIONS Hypertension has a causal relationship with CAVS. Managing SBP in hypertensive patients with CCBs may prevent CAVS. ARBs might exert protective effects on CAVS independent of blood pressure reduction. The relationship between diuretics and CAVS is complex, with opposite effects through different mechanisms.

OBJECTIVES: To construct a nomogram for predicting the efficacy of immune checkpoint inhibitors (ICIs) in advanced non-small cell lung cancer (aNSCLC) by integrating chest CT radiomics signature that reflects the tumor microenvironment (TME) and clinical parameters of the patients. METHODS: Transcriptomic and CT imaging data from TCGA, GEO and TCIA databases were integrated for weighted gene co-expression network analysis (WGCNA) of the GEO cohort to identify the immunotherapy-related genes (IRGs) associated with ICIs response. A prognostic model was built using these IRGs in the TCGA cohort to assess immune microenvironment features across different risk groups. Radiomics features were extracted from TCIA lung_3 cohort using PyRadiomics, and 94 features showing strong association with IRGs (|r|>0.4) were selected. A retrospective cohort consisting of 210 aNSCLC patients receiving first-line ICIs at Guangdong Provincial People's Hospital was analyzed and divided into training (n=147) and validation (n=63) groups. Least absolute shrinkage and selection operator was used for radiomic features selection, and logistic regression was applied to construct a combined clinical-radiomic model and nomogram for predicting ICIs therapy response. The performance of the model was evaluated using ROC curve, calibration curve, and decision curve analysis. RESULTS: WGCNA identified 84 IRGs enriched in immune activation pathways. The combined model outperformed individual models in both the training (AUC=0.725, 95% CI: 0.644-0.807) and validation cohorts (AUC=0.706, 95% CI: 0.577-0.836). Calibration curve and decision curve analyses confirmed the clinical efficacy of the nomogram for predicting ICIs therapy response in aNSCLC patients. CONCLUSIONS The genomic-radiomic-clinical multidimensional predictive framework established in this study provides an interpretable biomarker combination and clinical decision-making tool for evaluating ICIs efficacy in aNSCLC, potentially facilitating personalized immunotherapy decision-making.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Tumor Microenvironment ; Lung Neoplasms/therapy* ; Immunotherapy ; Tomography, X-Ray Computed ; Nomograms ; Retrospective Studies ; Immune Checkpoint Inhibitors/therapeutic use* ; Prognosis ; Male ; Female ; Radiomics

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*