Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

This work aims to explore the effect of glycolysis on the replication of porcine reproductive and respiratory syndrome virus (PRRSV) in porcine alveolar macrophages (PAMs). The changes of glucose metabolism, PRRSV protein levels, PRRSV titers, and the relative expression levels of genes and proteins in PAMs were analyzed by ELISA, qPCR, virus titration, and Western blotting after PRRSV infection. The effect of hypoxia-inducible factor-1α (HIF-1α) on PRRSV replication was subsequently assessed by specific siRNAs targeting to HIF-1α. The results showed that PRRSV infection enhanced glycolysis, elevated the levels of glucose uptake and lactate in the supernatant (P<0.05 and 0.01, respectively), reduced ATP production (P<0.05), and up-regulated the expression of hexokinase 2 (HK2), 6-phosphofructo-2-kinase/fructose-2, 6-biphosphatase 3 (PFKFB3), and pyruvate kinase isozyme type M2 (PKM2) in PAMs (P<0.05 and 0.01, respectively). Glycolysis inhibitors down-regulated the expression of PRRSV proteins and reduced virus titers (P<0.01). The knockdown of HIF-1α by siRNAs inhibited glycolysis and lowered PRRSV titers (P<0.05). In addition, the interferon pathways inhibited by PRRSV infection were reversed by the inhibition of glycolysis. These findings may facilitate further investigation of the role of glycolysis in PRRSV replication.
Porcine respiratory and reproductive syndrome virus/physiology* ; Glycolysis ; Swine ; Animals ; Virus Replication ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Macrophages, Alveolar/metabolism* ; Porcine Reproductive and Respiratory Syndrome/virology* ; Cells, Cultured ; RNA, Small Interfering/genetics*

ObjectiveTo establish a model of inflammasome activation induced by psoralidin based on bone marrow-derived macrophages （BMDM） in mice， and to explore the immunomodulatory effects of psoralidin combined with echinatin. MethodLipopolysaccharide （LPS） and psoralidin were used to activate inflammasomes， and after 4 h LPS stimulation， echinatin （40 μmol·L^-1） was administered for pre-protection for 1 h， followed by stimulation with psoralidin （10， 20， 40 μmol·L^-1） for 4 h. The protein expression of Caspase-1 p20 in cell supernatant and precursor （pro）-Caspase-1 and pro-interleukin（IL）-1β in cell lysate were simultaneously detected by Western blot. Enzyme-linked immunosorbent assay （ELISA） was adopted to determine the content of IL-β and TNF-α in the supernatant of BMDM. ResultWestern blot revealed that compared with the conditions in the control group， the maturation of psoralidin-induced pro-Caspase-1 and the secretion of IL-1β was inhibited by echinatin （P<0.05，P<0.01）. ELISA showed that the production of IL-1β and TNF-α was enhanced by psoralidin of different concentrations （P<0.05，P<0.01） compared with the condition in the control group. In addition， compared with the psoralidin group， the psoralidin combined with echinatin group reduced the secretion of IL-1β and TNF-α （P<0.01）. ConclusionEchinatin could significantly inhibited the excessive immune-inflammatory response mediated by psoralidin， and thus achieve the effect of toxicity reduction. The present study explored the toxicity-reducing effect of psoralidin combined with echiantin， providing a basis for safe clinical application.

Objective To investigate the clinical applicability and different characteristics of three commonly used diagnostic methods for drug-induced liver injury from the two aspects of liver injury induced by Western medicine and liver injury induced by traditional Chinese medicine. Methods A prospective cohort study was performed for 289 hospitalized patients with acute drug-induced liver injury who were admitted to The Fifth Medical Center of Chinese PLA General Hospital from January 2015 to December 2020 and did not receive integrated traditional Chinese and Western medicine therapy, among whom 187 patients had herb-induced liver injury and 102 had Western medicine-induced liver injury. The 289 patients were diagnosed by the integrated evidence chain (IEC), Roussel Uclaf Causality Assessment Method (RUCAM), and the Structured Expert Opinion Process (SEOP) method, and related data at acute onset were collected, including general information, latency period, detailed medication, and laboratory markers such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase, alkaline phosphatase, and total bilirubin. A statistical analysis was performed to investigate the consistency between IEC, RUCAM, and SEOP in the diagnosis of Western medicine-induced liver injury and herb-induced liver injury and their own applicability. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data; the chi-square was used for comparison of categorical data. Results The hepatocellular type was the main type of clinical liver injury in both Western medicine-induced liver injury and herb-induced liver injury, accounting for 81.4% and 74.3%, respectively, and laboratory examination showed higher levels of ALT and AST. Western medicine-induced liver injury cases were diagnosed by IEC, RUCAM, and SEOP, with a clinical diagnosis rate of 65.7%, 100%, and 63.7%, respectively, and the constituent ratio of Western medicine-induced liver injury was 23.2%, 35.3%, and 22.5%, respectively. Herb-induced liver injury cases were diagnosed by these three methods, with a clinical diagnosis rate of 47.6%, 100%, and 29.9%, respectively, and the constituent ratio of herb-induced liver injury was 30.8%, 64.7%, and 19.4%, respectively. The consistency test of the three diagnostic methods showed that in the diagnosis of Western medicine-induced liver injury cases, there was good consistency between IEC and SEOP (Kappa=0.785, P < 0.05), while there was poor consistency between RUCAM and IEC (Kappa=0.149, P > 0.05) and between RUCAM and SEOP (Kappa=0.117, P > 0.05); in the diagnosis of herb-induced liver injury cases, there was poor consistency between RUCAM and SEOP (Kappa=0.066, P > 0.05), while there was good consistency between RUCAM and IEC (Kappa=0.026, P < 0.05) and between IEC and SEOP (Kappa=0.437, P < 0.05). Conclusion The IEC method shows good applicability for both Western medicine-induced liver injury and herb-induced liver injury, and there is good consistency between IEC and SEOP in the diagnosis of Western medicine-induced liver injury cases, while there is a relatively low level of consistency between IEC and SEOP in the diagnosis of herb-induced liver injury. There is poor consistency between RUCAM and the other two methods. In the clinical diagnosis of Western medicine-induced liver injury, IEC, RUCAM, and SEOP should be used in combination to accurately judge the causal relationship between drugs and liver injury.