By analyzing the current status of randomized controlled trials （RCTs） on functional dyspepsia （FD） and irritable bowel syndrome （IBS） comorbidity， we identified several critical issues which include insufficient repor-ting of FD and IBS subtypes， inadequate risk assessment of drug combination， lack of composite， objective， and long-term outcomes， and weak evidence support for clinical practice guidelines. It is suggested that future clinical research on FD-IBS comorbidity should further strengthen the application of real-world studies. The use of composite outcomes and long-term follow-up is recommended to improve the quality of evidence， while greater attention should be paid to patients' preferences and self-management to enhance the applicability of findings. Based on the existing issues in clinical studies of traditional Chinese medicine （TCM） for FD-IBS comorbidity， we propose to consolidate the foundation of TCM-specific efficacy evaluation to better reflect the advantages of syndrome differentiation and treatment， optimize real-world study designs to better support clinical decision- making， and introduce intelligent objective evaluation technologies to improve the objectivity and accuracy of TCM clinical efficacy assessment.

By analyzing the current status of randomized controlled trials （RCTs） on functional dyspepsia （FD） and irritable bowel syndrome （IBS） comorbidity， we identified several critical issues which include insufficient repor-ting of FD and IBS subtypes， inadequate risk assessment of drug combination， lack of composite， objective， and long-term outcomes， and weak evidence support for clinical practice guidelines. It is suggested that future clinical research on FD-IBS comorbidity should further strengthen the application of real-world studies. The use of composite outcomes and long-term follow-up is recommended to improve the quality of evidence， while greater attention should be paid to patients' preferences and self-management to enhance the applicability of findings. Based on the existing issues in clinical studies of traditional Chinese medicine （TCM） for FD-IBS comorbidity， we propose to consolidate the foundation of TCM-specific efficacy evaluation to better reflect the advantages of syndrome differentiation and treatment， optimize real-world study designs to better support clinical decision- making， and introduce intelligent objective evaluation technologies to improve the objectivity and accuracy of TCM clinical efficacy assessment.

Antimicrobial resistance (AMR) has emerged as a major global public health challenge, with traditional prevention and control methods exhibiting significant limitations in detection efficiency, data processing, and clinical decision-making. Leveraging its robust capabilities in data analysis and pattern recognition, artificial intelligence (AI) technology has been widely applied across multiple critical aspects of AMR containment. Current evidence demonstrates that AI technologies can significantly enhance the efficiency of resistancediagnosis, optimize personalized treatment strategies, and improve real-time monitoring of resistant pathogen transmission. Despite persistent challenges such as data heterogeneity, model interpretability, and ethical compliance in practical applications, AI holds immense promise in supporting precision infection management and addressing the growing crisis of antimicrobial resistance.This article systematically reviews the clinical applications of AI in AMR prevention and control, including resistance detection and prediction based on mass spectrometry and genomic data, the use of clinical decision support systems in anti-infective therapy, as well as the role of AI in epidemiological surveillance, pathogen tracking, early warning systems, and novel antimicrobial drug discovery aiming to provide reference for clinical practice.

Objective:To discuss the expression of tripartite motif-containing protein 24(TRIM24)in the clear cell renal cell carcinoma(ccRCC)tissue,and to clarify its relationships with the clinicopathological features and prognosis of the ccRCC patients.Methods:The cancer and paracancer normal tissues were collected from 90 ccRCC patients who had not undergone preoperative radiotherapy or chemotherapy.Tissue microarray and immunohistochemistry were used to detect the expression levels of TRIM24 protein in ccRCC tissue.The differences in TRIM24 protein expression between ccRCC and paracancer normal tissues were analyzed.The score of TRIM24 protein expression and the average value were calculated,and based on the average value,the patients were classified into TRIM24 protein low-expression and TRIM24 protein high-expression groups.The associations between the TRIM24 protein expression and different clinicopathological features of the patients were analyzed,and the relationship between the TRIM24 protein expression and the prognosis of the patients was analyzed.Results:The immunohistochemistry results showed that the TRIM24 protein was expressed in both the nucleus and cytoplasm of the ccRCC tumor cells,and there were significant differences in the TRIM24 protein expression level in ccRCC tissue when compared with paracancer normal tissue(P＜0.05).The TRIM24 protein expression in the nucleus of ccRCC tissue was associated with the patient's age,gender,and tumor size(P＜0.05).The Kaplan-Meier survival analysis results showed that the overall survivals of the patients with high TRIM24 protein expression in the cytoplasm of ccRCC tissue,older age,and higher pathological grade were shorter than those with low TRIM24 protein expression,younger age,and lower pathological grade(P＜0.05).The multivariate Cox regression analysis results showed that the prognosis of the patients with high TRIM24 protein expression in the cytoplasm and higher pathological grade were poorer compared with the patients with low TRIM24 protein expression and lower pathological grade(P＜0.05).Conclusion:The ccRCC patients with high TRIM24 expression in the cytoplasm of ccRCC tumor tissue and higher pathological grade have the lower postoperative survival rates and poorer prognosis.

Objective The prevalence of drug-resistant Mycobacterium tuberculosis (Mtb) strains is exacerbating the global burden of tuberculosis (TB), highlighting the urgent need for new treatment strategies for TB. Methods The recombinant adenovirus vaccine expressing cyclic di-adenosine monophosphate (c-di-AMP) phosphodiesterase B (CnpB) (rAd-CnpB), was administered to normal mice via mucosal immunization, either alone or in combination with drug therapy, to treat Mtb respiratory infections in mice.Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of antibodies in serum and bronchoalveolar lavage fluid (BALF). Real-time quantitative PCR was performed to assess the transcription levels of cytokines interferon γ(IFN-γ) and interleukin 10(IL-10) in mouse lungs. Flow cytometry was used to determine the proportions of CD4⁺ and CD8⁺ T cell subsets in the lungs and spleens. ELISA was employed to measure the levels of cytokines IFN-γ, IL-2, IL-10, inflammatory factors IL-6, and tumor necrosis factor α (TNF-α) secreted by spleen cells following antigen stimulation. The bacteria loads in the lungs and spleens of Mtb-infected mice were enumerated by plate counting methods. Resluts Intranasal immunization with rAd-CnpB induced high titers of IgG in mouse serum and the production of IgG and IgA in BALF, along with alterations in T lymphocyte subsets in the lungs and spleens. Administration of rAd-CnpB, either alone or in combination with drugs, to Mtb-infected mice significantly increased serum IgG levels as well as IgA and IgG levels in BALF. rAd-CnpB immunization promoted the secretion of CnpB-specific cytokines and inflammatory factors by splenocytes in Mtb-infected mice. However, rAd-CnpB immunotherapy, either alone or combined with drugs, did not significantly affect the bacterial loads in the lungs and spleens of mice with Mtb respiratory infections. Conclusion Mucosal immunization with rAd-CnpB induced significant mucosal, humoral and cellular immune responses in mice, and significantly enhanced CnpB-specific cellular immune responses in Mtb-infected mice.
Animals ; Adenoviridae/immunology* ; Mycobacterium tuberculosis/genetics* ; Mice ; Female ; Phosphoric Diester Hydrolases/genetics* ; Tuberculosis Vaccines/administration & dosage* ; Tuberculosis/prevention & control* ; Mice, Inbred BALB C ; Cytokines ; Lung/microbiology* ; Immunization ; Bronchoalveolar Lavage Fluid/immunology* ; Immunity, Mucosal

Peyronie's disease (PD) is a disorder characterized by fibrous plaque formation in the penile tissue that leads to curvature and complications in advanced stages. In this study, we aimed to compare four injectable induction agents for the establishment of a robust rat model of PD: transforming growth factor-β1 (TGF-β1), fibrin, sodium tetradecyl sulfate (STS) combined with TGF-β1, and polidocanol (POL) combined with TGF-β1. The results showed that injection of TGF-β1 or fibrin into the tunica albuginea induced pathological endpoints without causing penile curvature. The STS + TGF-β1 combination resulted in both histological and morphological alterations, but with a high incidence of localized necrosis that led to animal death. The POL + TGF-β1 combination produced pathological changes and curvature comparable to STS + TGF-β1 and led to fewer complications. In conclusion, fibrin, STS + TGF-β1, and POL + TGF-β1 all induced PD with a certain degree of penile curvature and histological fibrosis in rats. The POL + TGF-β1 combination offered comparatively greater safety and clinical relevance and may have the greatest potential for PD research using model rats.
Animals ; Male ; Penile Induration/drug therapy* ; Rats ; Transforming Growth Factor beta1/metabolism* ; Disease Models, Animal ; Fibrin ; Penis/drug effects* ; Polidocanol/administration & dosage* ; Rats, Sprague-Dawley ; Polyethylene Glycols/administration & dosage* ; Injections

The choice of biopsy method is critical in diagnosing prostate cancer (PCa). This retrospective cohort study compared systematic biopsy (SB) or cognitive fusion-targeted biopsy combined with SB (CB) in detecting PCa and clinically significant prostate cancer (csPCa). Data from 2572 men who underwent either SB or CB in Fudan University Shanghai Cancer Center (Shanghai, China) between January 2019 and December 2023 were analyzed. Propensity score matching (PSM) was used to balance baseline characteristics, and detection rates were compared before and after PSM. Subgroup analyses based on prostate-specific antigen (PSA) levels and Prostate Imaging-Reporting and Data System (PI-RADS) scores were performed. Primary and secondary outcomes were the detection rates of PCa and csPCa, respectively. Of 2572 men, 1778 were included in the PSM analysis. Before PSM, CB had higher detection rates for both PCa (62.9% vs 52.4%, odds ratio [OR]: 1.54, P < 0.001) and csPCa (54.9% vs 43.3%, OR: 1.60, P < 0.001) compared to SB. After PSM, CB remained superior in detecting PCa (63.1% vs 47.9%, OR: 1.86, P < 0.001) and csPCa (55.0% vs 38.2%, OR: 1.98, P < 0.001). In patients with PSA 4-12 ng ml -1 (>4 ng ml -1 and ≤12 ng ml -1 , which is also applicable to the following text), CB detected more PCa (59.8% vs 40.7%, OR: 2.17, P < 0.001) and csPCa (48.1% vs 27.7%, OR: 2.42, P < 0.001). CB also showed superior csPCa detection in those with PI-RADS 3 lesions (32.1% vs 18.0%, OR: 2.15, P = 0.038). Overall, CB significantly improves PCa and csPCa detection, especially in patients with PSA 4-12 ng ml -1 or PI-RADS 3 lesions.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Propensity Score ; Retrospective Studies ; Middle Aged ; Aged ; Image-Guided Biopsy/methods* ; Prostate-Specific Antigen/blood* ; Prostate/diagnostic imaging*

BACKGROUND: Our understanding of the correlation between postdischarge cancer and mortality in patients with coronary artery disease (CAD) remains incomplete. The aim of this study was to investigate the relationships between postdischarge cancers and all-cause mortality and cardiovascular mortality in CAD patients. METHODS: In this retrospective cohort study, 25% of CAD patients without prior cancer history who underwent coronary artery angiography between January 1, 2011 and December 31, 2015, were randomly enrolled using SPSS 26.0. Patients were monitored for the incidence of postdischarge cancer, which was defined as cancer diagnosed after the index hospitalization, survival status and cause of death. Cox regression analysis was used to explore the association between postdischarge cancer and all-cause mortality and cardiovascular mortality in CAD patients. RESULTS: A total of 4085 patients were included in the final analysis. During a median follow-up period of 8 years, 174 patients (4.3%) developed postdischarge cancer, and 343 patients (8.4%) died. A total of 173 patients died from cardiovascular diseases. Postdischarge cancer was associated with increased all-cause mortality risk (HR = 2.653, 95% CI: 1.727-4.076, P < 0.001) and cardiovascular mortality risk (HR = 2.756, 95% CI: 1.470-5.167, P = 0.002). Postdischarge lung cancer (HR = 5.497, 95% CI: 2.922-10.343, P < 0.001) and gastrointestinal cancer (HR = 1.984, 95% CI: 1.049-3.750, P = 0.035) were associated with all-cause mortality in CAD patients. Postdischarge lung cancer was significantly associated with cardiovascular death in CAD patients (HR = 4.979, 95% CI: 2.114-11.728, P < 0.001), and cardiovascular death was not significantly correlated with gastrointestinal cancer or other types of cancer. CONCLUSIONS Postdischarge cancer was associated with all-cause mortality and cardiovascular mortality in CAD patients. Compared with other cancers, postdischarge lung cancer had a more significant effect on all-cause mortality and cardiovascular mortality in CAD patients.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks