Application of artificial intelligence in the diagnosis and treatment of urinary tumors.

Diagnosis and treatment of urological tumors, relying on auxiliary data such as medical imaging, while incorporating individual patient characteristics into treatment selection, has long been a key challenge in clinical medicine. Traditionally, clinicians used extensive experience for decision-making, but recent artificial intelligence (AI) advancements offer new solutions. Machine learning (ML) and deep learning (DL), notably convolutional neural networks (CNNs) in medical image recognition, enable precise tumor diagnosis and treatment. These technologies analyze complex medical image patterns, improving accuracy and efficiency. AI systems, by learning from vast datasets, reveal hidden features, offering reliable diagnostics and personalized treatment plans. Early detection is crucial for tumors like renal cell carcinoma (RCC), bladder cancer (BC), and Prostate Cancer (PCa). AI, coupled with data analysis, improves early detection and reduces misdiagnosis rates, enhancing treatment precision. AI's application in urological tumors is a research focus, promising a vital role in urological surgery with improved patient outcomes. This paper examines ML, DL in urological tumors, and AI's role in clinical decisions, providing insights for future AI applications in urological surgery.

IL-17A and TNF-α-induced Dectin-1 expression may promote keratinocyte proliferation in psoriatic lesions.

Psoriasis is a common skin disease with a high recurrence rate. Aberrant keratinocyte proliferation is a significant pathogenic characteristic of psoriatic lesions, and studies have revealed that the development of psoriasis is significantly influenced by pro-inflammatory cytokines, such as IL-17A and TNF-α. Biologics targeting these cytokines have been widely used in psoriasis treatment and achieve remarkable effects, however, the underlying mechanism of how IL-17A and TNF-α specifically regulate keratinocyte proliferation has not been fully elucidated. Dectin-1 is an essential membrane protein that is directly related to the immune microenvironment and the proliferation of multiple cell types. To elucidate how IL-17A and TNF-α may promote keratinocyte proliferation in psoriatic lesions and whether Dectin-1 is involved. The expression of Dectin-1 in keratinocytes from psoriatic lesions was detected by real-time PCR, western blot and immunofluorescence. Correlation analysis and cytological experiments were then performed to determine the relationship between Dectin-1 and IL-17A/TNF-α in psoriatic lesions. Finally, we investigated the signalling pathway through which Dectin-1 may promote keratinocyte proliferation. Dectin-1 was significantly increased in keratinocytes from psoriatic lesions. Moreover, IL-17A and TNF-α effectively induced the expression of Dectin-1 in HaCaT cells, which was shown to activate the Syk/NF-κB signalling pathway and promote the proliferation of keratinocytes. IL-17A and TNF-α may promote the proliferation of keratinocytes in psoriatic lesions through induction of Dectin-1, indicating that Dectin-1 could be a potential therapeutic target for the treatment of psoriasis.

WTAP-mediated m6A modification of IFNE is required for antiviral defense in condyloma acuminata.

BACKGROUND: IFN-ε is essential in combating viral infections, particularly in epithelial cells and protected mucosal tissues. Its protective effects have been demonstrated against HSV2, Zika virus, HIV and SARS-COV2. However, the specific expression and role of IFN-ε in skin keratinocytes and HPV infection are still not fully understood and require further investigation. OBJECTIVE: In this study, we aimed to investigate the functions and expression mechanism of IFN-ε in keratinocytes during HPV infection and the progression of condyloma acuminata. METHODS: Keratinocytes isolated from biopsied CA warts and normal skins samples were analyzed by MeRIP-seq analysis. IFN-ε and WTAP in CA warts and normal skins were analyzed by immunostaining and qPCR. RESULTS: In this study, we identified IFN-ɛ was markedly upregulated in CA warts and HPV-infected keratinocytes. IFN-ɛ expression also showed negatively correlation with the size of CA warts (R=-0.4646, P = 0.009). IFN-ɛ suppressed the susceptibility of HPV infection directly. m6A analysis reveals WTAP is a key m6A writer promoting the m6A modification of IFNE mRNA. CONCLUSION: Our research suggests that IFN-ɛ is an important Type I IFN cytokine involved in the development of genital warts. Furthermore, we found that HPV infection affects the m6A modifications of IFNE through a mechanism dependent on WTAP. This study provides insights into the innate immune response of the host to HPV infection and may contribute to the development of future strategies for regulating innate immunity to treat genital warts.

Assessment of patient based real-time quality control on comparative assays for common clinical analytes.

BACKGROUND: It is critical for laboratories to conduct multianalyzer comparisons as a part of daily routine work to strengthen the quality management of test systems. Here, we explored the application of patient-based real-time quality controls (PBRTQCs) on comparative assays to monitor the consistency among clinical laboratories. METHODS: The present study included 11 commonly tested analytes that were detected using three analyzers. PBRTQC procedures were set up with exponentially weighted moving average (EWMA) algorithms and evaluated using the AI-MA artificial intelligence platform. Comparative assays were carried out on serum samples, and patient data were collected. Patients were divided into total patient (TP), inpatient (IP), and outpatient (OP) groups. RESULTS: Optimal PBRTQC protocols were evaluated and selected with appropriate truncation limits and smoothing factors. Generally, similar comparative assay performance was achieved using both the EWMA and median methods. Good consistency between the results from patients' data and serum samples was obtained, and unacceptable bias was detected for alkaline phosphatase (ALP) and gamma-glutamyl transferase (GGT) when using analyzer C. Categorizing patients' data and applying specific groups for comparative assays could significantly improve the performance of PBRTQCs. When monitoring the inter- and intraanalyzer stability on a daily basis, EWMA was superior in detecting very small quality-related changes with lower false-positive alarms. CONCLUSIONS: We found that PBRTQCs have the potential to efficiently assess multianalyzer comparability. Laboratories should be aware of population variations concerning both analytes and analyzers to build more suitable PBRTQC protocols.

Enhanced Glycogen Metabolism Supports the Survival and Proliferation of HPV-Infected Keratinocytes in Condylomata Acuminata.

Condylomata acuminata (CA) is caused by human papillomavirus (HPV) infections of keratinocytes and is a common sexually transmitted disease. The main clinical feature and risk of CA is the high recurrence of genital warts formed by infected keratinocytes. Metabolic reprogramming of most types of mammalian cells including keratinocytes can provide energy and intermediates essential for their survival. Here, we report that HPV infection develops a hypoxic microenvironment in CA warts by inducing the accumulation of glycogen and increased glycogen metabolism in the infected keratinocytes in a hypoxia-inducible factor 1α (HIF-1α) -dependent pathway. Our in vitro studies show that the increased glycogen metabolism is essential for the survival and proliferation of keratinocytes. Regarding its mechanism of action, glycogenolysis generates glucose-1-phosphate that fluxes into the pentose phosphate pathway and, then, generates abundant nicotinamide adenine dinucleotide phosphate, thereby ensuring high levels of glutathione in keratinocytes under hypoxia. The abrogation of glycogen synthesis and glycogenolysis decreases the ratio of glutathione and glutathione disulfide and increases the level of ROS, further resulting in the impairment of keratinocyte survival. Collectively, our work offers an insight into the metabolic reprogramming in the development of CA and implies that the intervention of glycogen metabolism would be a promising therapeutic target for CA.

CDC5L drives FAH expression to promote metabolic reprogramming in melanoma.

Metabolic reprogramming allows tumor cells to thrive in the typically hypoxic tumor microenvironment. Using immunodetection and clinical data analyses, we demonstrate here that fumarylacetoacetate hydrolase (FAH) is highly expressed in melanoma and correlates with poor survival. FAH knockdown inhibits proliferation and migration, while promoting apoptosis in melanoma cells, result in prolonged survival in tumor-bearing mice. Molecular analyses using real time RT-PCR, western blot, and 13C tracing showed that these changes are driven by strong stimulation of anaplerotic reactions through the TCA cycle and the pentose-phosphate pathway, resulting in increased fatty acid and nucleotide synthesis. Using bioinformatic, ChIP-PCR, and gene silencing analyses, we determined that cell division cycle 5-like protein (CDC5L) is an important transcription factor regulating FAH expression in melanoma cells. These findings reveal that FAH induces metabolic reprogramming in melanoma and so emerges as both a potentially useful independent prognostic indicator and an attractive therapeutic target.

Cell-free tumor microparticle vaccines stimulate dendritic cells via cGAS/STING signaling.

Tumor antigens and innate signals are vital considerations in developing new therapeutic or prophylactic antitumor vaccines. The role or requirement of intact tumor cells in the development of an effective tumor vaccine remains incompletely understood. This study reveals the mechanism by which tumor cell-derived microparticles (T-MP) can act as a cell-free tumor vaccine. Vaccinations with T-MPs give rise to prophylactic effects against the challenge of various tumor cell types, while T-MP-loaded dendritic cells (DC) also exhibit therapeutic effects in various tumor models. Such antitumor effects of T-MPs are perhaps attributable to their ability to generate immune signaling and to represent tumor antigens. Mechanically, T-MPs effectively transfer DNA fragments to DCs, leading to type I IFN production through the cGAS/STING-mediated DNA-sensing pathway. In turn, type I IFN promotes DC maturation and presentation of tumor antigens to T cells for antitumor immunity. These findings highlight a novel tumor cell-free vaccine strategy with potential clinical applications.