Invasive fungal infections (IFIs) have become prominent global health threats, escalating the burden on public health systems. The increasing occurrence of invasive fungal infections is due primarily to the extensive application of chemotherapy, immunosuppressive therapies, and broad-spectrum antifungal agents. At present, therapeutic practices utilize multiple categories of antifungal agents, such as azoles, polyenes, echinocandins, and pyrimidine analogs. Nevertheless, the clinical effectiveness of these treatments is progressively weakened by the emergence of drug resistance, thereby substantially restricting their therapeutic utility. Consequently, there is an imperative need to expedite the discovery of novel antifungal agents. This review seeks to present an exhaustive synthesis of novel antifungal drugs and candidate agents that are either under current clinical investigation or anticipated to progress into clinical evaluation. These emerging compounds exhibit unique benefits concerning their modes of action, antimicrobial spectra, and pharmacokinetic characteristics, potentially leading to improved therapeutic outcomes relative to conventional antifungal regimens. It is anticipated that these novel therapeutic agents will furnish innovative treatment modalities and enhance clinical outcomes in managing invasive fungal infections.

Prostate cancer is the most prevalent malignant tumor among men, ranking first in incidence and second in mortality globally. Novel hormone therapies (NHT) targeting the androgen receptor (AR) pathway have become the standard of care for metastatic prostate cancer. This review offers a comprehensive overview of NHT, including abiraterone, enzalutamide, apalutamide, darolutamide, and rezvilutamide, which have demonstrated efficacy in delaying disease progression and improving patient survival and quality of life. Nevertheless, resistance to NHT remains a critical challenge. The mechanisms underlying resistance are complex, involving AR gene amplification, mutations, splice variants, increased intratumoral androgens, and AR-independent pathways such as the glucocorticoid receptor, neuroendocrine differentiation, DNA repair defects, autophagy, immune evasion, and activation of alternative signaling pathways. This review discusses these resistance mechanisms and examines strategies to counteract them, including sequential treatment with novel AR-targeted drugs, chemotherapy, poly ADP-ribose polymerase inhibitors, radionuclide therapy, bipolar androgen therapy, and approaches targeting specific resistance pathways. Future research should prioritize elucidating the molecular basis of NHT resistance, optimizing existing therapeutic strategies, and developing more effective combination regimens. Additionally, advanced sequencing technologies and resistance research models should be leveraged to identify novel therapeutic targets and improve drug delivery efficiencies. These advancements hold the potential to overcome NHT resistance and significantly enhance the management and prognosis of patients with advanced prostate cancer.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

Interstitial cystitis/bladder pain syndrome (IC/BPS) is a refractory condition characterized by chronic inflammation of the bladder wall, disruption of the urothelial barrier, and neural sensitization. Current therapies, such as oral pentosan polysulfate sodium (PPS) or intravesical hyaluronic acid instillations, offer limited efficacy due to transient effects and an inability to reverse tissue fibrosis. Platelet-rich plasma (PRP), a regenerative medicine approach, has demonstrated significant therapeutic potential in urological disorders through the synergistic actions of its multiple growth factors. This review summarizes the latest advances in PRP therapy for IC/BPS, revealing that the underlying mechanisms primarily involve the release of diverse growth factors, suppression of inflammatory responses, restoration of the urothelial barrier, and modulation of nerve axonal regeneration. Clinically, PRP therapy significantly alleviates symptoms including pelvic/bladder pain, urinary frequency, nocturia episodes, and improves patients'quality of life. Furthermore, it offers advantages such as convenient administration, a favorable safety profile, and strong feasibility, presenting new therapeutic methods and options for the clinical treatment of IC/BPS.

Objective:To understand the epidemiology of rubella and the genetic characteristics of the virus circulating during the period 2021-2022, providing basic scientific data for rubella prevention and control in China.Methods:National rubella incidence data for the period 2021-2022 were obtained from the Infectious Disease Surveillance System module and the Surveillance Report Management module of the China′s Disease Prevention and Control Information System. Positive rubella virus(RuV)isolates were obtained from the National Measles/Rubella Laboratory Network. Two nucleotide (nt) fragments [F1-480 (8 633-9 112 nt) and F2-633 (8 945-9 577 nt)] located in the E1 gene were amplified and determined by reverse transcription polymerase chain reaction (RT-PCR), and the target gene (E1-739) was obtained after collating and splicing. The sequences obtained in this study were used to construct a phylogenetic tree with the reported reference strains for genotype and lineage identification. Additionally, the phylogenetic analysis was performed to assess their genetic relatedness of RuV strains prevalent in China during 2018-2020 from GenBank database.Results:In 2021-2022, the rubella incidence in China was 0.06/100, 000 (2021: 840 cases; 2022: 784 cases), with cases primarily concentrated in the western and southern provinces. Age distribution analysis showed that rubella cases in 2021-2022 was mainly in children under 5 years of age (2021: 34.17%, 287/840; 2022: 42.09%, 330/784), with the highest proportion in children aged 0-2 years. Further analysis of the immunization history of cases revealed that in the 8-23 months age group, a significant proportion of cases had received only one dose of rubella containing vaccine (RCV); cases in the 2-14 years age group were mainly among children who had received two or more doses of RCV; however, cases over 15 years of age were primarily found in individuals who had not received RCV or had unknown immunization history. National virological surveillance data showed that totally 22 RuV virus isolates were obtained, from 6 provinces in China during 2021-2022, which belonged to lineage 1E-L2 (11 strains) and 2B-L2c (11 strains). And these viruses displayed high genetic homology with RuV prevalent from 2018 to 2020.Conclusions:The incidence of rubella in China was maintained at a low level during 2021-2022, and the prevalent RuV strains were lineage 1E-L2 and 2B-L2c.

Objective To isolate and culture neural crest cells(NCCs)from lung tissue of mice and to identify the characteristics of the cells in order to provide a new cell model for studying lung injury and injure repair.Methods The mT/mG dual-fluorescence reporter mice and Wnt1-Cre transgenic mice were hybridized,and mT/mG;Wnt1-Cre transgenic mice were screened to obtain enhanced green fluorescent protein(EGFP)permanently labeled NCCs.Cell suspension of mouse lung tissue was prepared by enzymolysis.EGFP+cells(namely NCCs)were har-vested by flow cytometry.Primary culture was performed with DMEM/F12 culture medium optimized in the labora-tory,NCCs was characterized by immunofluorescence microscopy.Then NCCs differentiation was directed by mouse bone marrow mesenchymal stem cells osteogenic induction.Results The mT/mG of EGFP permanently labeled NCCs was successfully obtained by hybridization and high-purity NCCs were isolated from Wnt1-Cre transgenic mice lung tissue.They can be cultured in vitro and with spindle morphology which was,similar to fibroblast adherent proliferation.NCCs expressed the neural crest stem cell marker Sox10 and induced to differentiate into osteoblasts.Conclusions NCCs isolated and cultured from lung tissue of mT/mG;Wnt1-Cre transgenic mice show stable prolif-eration and have the characteristics of neural crest stem cells,which may function as a potential cell model for re-search on lung tissue injury and the mechanism of repair.

Operation duration has consistently been regarded as a important factor influencing the outcome of total knee arthroplasty(TKA).Prolonged operation time can give rise to an array of adverse events,ultimately leading to surgical failure,escalated healthcare expenses,and even jeopardizing patient survival.Numerous studies have demonstrated that prolonged operation time is linked with an augmented risk of postoperative complications.Recent investigations have revealed that extended operation duration can heighten the likelihood of postoperative pain,wound dehiscence,anemia and blood transfusion requirements,surgical site infection,sepsis,prolonged hospitalization and readmission rates;impact prosthetic longevity and patient survival rate.

This study was designed to investigate the effect of silencing microtubule-affinity regulating kinase 4(MARK4)on the apoptosis,inflammatory cytokine release and intestinal barrier protein expression of FHC cells in a lipopolysaccharide(LPS)-induced ulcerative colitis(UC)model,and the underlying molecular mechanisms.Western blot analysis was used to measure the expression levels of MARK4 and apoptosis-related factors including Caspase-1,NLRP3,and GSDMD in colon tissues from both UC patients and healthy individuals,as well as in LPS-induced FHC cell inflammation model.FHC cells was transfected with shRNA to silence MARK4.In control(normal FHC cells),LPS(LPS-stimulated FHC cells),and MARK4-silenced+LPS(shRNA-and LPS-treated FHC cells)groups,the expression levels of Caspase-1,NLRP3,GSDMD,intestinal barrier proteins,and NF-κB pathway-related proteins were assessed by Western blotting.ELISA and RT-qPCR were used to measure the expression levels of inflammatory cytokines IL-1β,IL-6,and TNF-α;flow cytometry was utilized to assess apoptosis.Data showed that both in UC patient colon tissues and the in vitro LPS-induced FHC cell UC inflammation model,there was a significant increase in the expression of MARK4 and apoptosis-related proteins including NLRP3,Caspase-1,and GSDMD.Silencing MARK4 inhibited the expression of these apoptosis-related proteins and downregulated the inflammatory cytokines IL-1β,IL-6,and TNF-α in LPS-induced FHC cells.Silencing MARK4 also reduced apoptosis,increased the expression of intestinal barrier proteins ZO-1,Occludin,and upregulated Claudin2.Gene Set Enrichment Analysis(GSEA)indicated a positive correlation between MARK4 and the NF-κB signaling pathway.Furthermore,silencing of MARK4 inhibited the expression levels of p-P65 and p-IKKα in the NF-κB pathway.In conclusion,MARK4 is significantly upregulated in UC tissues and cells.Silencing MARK4 inhibits the activation of the NF-κB signaling pathway,thereby inhibiting the apoptosis and inflammatory factor expression of UC cells.Thus,MARK4 could be a potential therapeutic target for UC patients.

Objective: To analyze the semen quality parameters of sperm donor volunteers, so as to provide insights into male infertility control and related research. Methods: A total of 155 sperm donors were recruited from the Human Sperm Bank of Zhejiang Province using the convenience sampling method from January to March 2021. Demographic information were collected through questionnaire surveys. Semen were collected, and parameters including semen volume, sperm concentration, total number of sperm, forward motility rate and total sperm viability were measured. Semen quality was evaluated according to the WHO Laboratory Manual for the Examination and Processing of Human Semen. : Results Conclusion There were 20.65% of the 155 sperm donors with unqualified semen, and the unqualified rates of forward motility rate and total sperm viability were relatively high.

Objective:To analyze the level of interleukin-36(IL-36) family cytokines in peripheral blood, and explore the regulatory role of recombinant human IL-36α in monocyte function in patients with diabetic kidney disease(DKD).Methods:A total of 41 type 2 diabetes mellitus(T2DM) patients, 36 DKD patients, and 20 controls were consecutively enrolled. Plasma and peripheral blood mononuclear cells(PBMCs) were isolated. Enzyme-linked immunosorbent assay(ELISA) was used to measure plasma levels of IL-36α, IL-36β, IL-36γ, and IL-36 receptor antagonist(IL-36Ra). PBMCs were sorted, and real-time quantitative PCR was performed to detect the mRNA expression of IL-36 receptor subunits in monocytes. Monocytes were stimulated with recombinant IL-36α, and levels of cytotoxic molecules and cytokines in the culture supernatant were measured. Flow cytometry was used to assess the expressions of programmed death receptor-1(PD-1) and cytotoxic T-lymphocyte-associated protein 4(CTLA-4). Co-culture of monocytes with Vero cells was performed to evaluate monocyte cytotoxicity.Results:Plasma levels of IL-36α and IL-36β in the T2DM and DKD groups were significantly higher than those in the control group. The DKD group also showed higher plasma levels of IL-36α compared to the T2DM group( P<0.05). There were no significant differences in IL-36γ and IL-36Ra levels among the three groups( P>0.05). The mRNA expression of IL-36 receptor subunits in monocytes was comparable among the three groups( P>0.05). The DKD group had higher level of tumor necrosis factor-alpha(TNF-α) compared to the control and T2DM groups( P<0.05). The levels of PD-1 and CTLA-4 were lower in the DKD group than those in the control and T2DM groups( P<0.05). The proportion of monocyte-induced Vero cell death was significantly higher in the DKD group compared to the control and T2DM groups( P<0.05). After stimulation with recombinant human IL-36α, monocytes from DKD patients showed a significant increase in the secretion of granzyme B and TNF-α( P<0.05), as well as an increased proportion of monocyte-induced Vero cell death( P=0.024). Conclusion:In DKD patients, elevated IL-36α and granzyme B levels in monocytes enhance monocyte function.