Chronic antibody-mediated rejection is a major issue that affects long-term renal allograft survival. Since follicular helper T (Tfh) cells promote the development of antigen-specific B cells in alloimmune responses, we investigated the potential roles of Tfh cells, B cells and their alloimmune-regulating molecules in the pathogenesis of chronic renal allograft rejection in this study. The frequency of Tfh, B cells and the levels of their alloimmune-regulating molecules including chemokine receptor type 5 (CXCR5), inducible T cell co-stimulator (ICOS), programmed death-1 (PD-1), ICOSL, PDL-1 and interleukin-21 (IL-21), of peripheral blood were comparatively measured in 42 primary renal allograft recipients within 1–3 years after transplantation. Among them, 24 patients had definite chronic rejection, while other 18 patients had normal renal function. Tfh-cell ratio was significantly increased with PD-1 down-regulation in the patients with chronic renal allograft rejection, while B cells and the alloimmune-regulating molecules studied did not show any appreciable change in parallel. The patients with chronic renal allograft rejection have a characteristic increase in circulating Tfh cells with a decrease in PD-1 expression. These pathological changes may be a therapeutic target for the treatment of chronic renal allograft rejection and can be useful as a clinical index for monitoring conditions of renal transplant.

To evaluate the photoprotective effect of 5-aminolaevulinic acid-based photodynamic therapy (ALA-PDT) on ultraviolet B (UVB)-induced skin photodamage. In vivo experiments, the dorsal skin of hairless mice were treated with ALA-PDT or saline-PDT, and then exposed to 180 mJ/m² UVB. Results showed that the number of sunburn cells and apoptotic cells in the epidermis of ALA-PDT-treated groups at 24 h after UVB irradiation were significantly decreased compared with those in the UVB groups. And the removal rate of CPDs was obviously higher in ALA-PDT-treated groups. At 48 h, the number of Ki67 positive nuclei in ALA-PDT-UVB group was significantly fewer than that in UVB group. Further in vitro experiments, human keratinocyte cell line (HaCaT) cells of two groups (one treated with ALA-PDT, the other untreated), were exposed to 60 mJ/m² UVB irradiation. We found 0.5 mmol/L of ALA and 3 J/cm² of red light did not affect the vitality of cells, and could reduce UVB induced apoptosis, accelerate the clearance of CPDs, inhibit proliferation and activate p53. Thus, our data demonstrate that ALA-PDT pretreatment can induce a protective DNA damage response that protects skin cells from UVB-induced photodamages.

Clear cell renal cell carcinoma (ccRCC) is the major pathological pattern of renal cell carcinoma. The ccRCC cells exhibit a certain degree of inherent drug resistance due to some genetic mutations. In recent years, peroxisome proliferator-activated receptor-α (PPARα) antagonists have been reported as a targeted therapeutic drug capable of inducing apoptosis and cell cycle arrest in the ccRCC cell line. Autophagy, which can be induced by stress in eukaryotic cells, plays a complex role in the proliferation, survival, and death of tumor cells. In our study, we found that the expression of PPARα was low in highly differentiated ccRCC tissues and 786-O cell line but high in poorly differentiated ccRCC tissues. The level of PPARα expression in ccRCC tissues is correlated to the grade of differentiation, but not to the sex or age of ccRCC patients. The findings also revealed that the PPARα antagonist GW6471 can lower cell viability and induce autophagy in the 786-O ccRCC cell line. This autophagy can be inhibited by hydroxychloroquine. When treated with a combination of hydroxychloroquine and GW6471, the viability of the 786-O cells was decreased further when compared to the treatment with GW6471 or hydroxychloroquine alone, and apoptosis was promoted. Meanwhile, when human kidney 2 cells were cotreated with hydroxychloroquine and GW6471, cell viability was only slightly influenced. Hence, our finding indicates that the combination of GW6471 and hydroxychloroquine may constitute a novel and potentially effective treatment for ccRCC. Furthermore, this approach is likely to be safe owing to its minimal effects on normal renal tissues.

Background: Prostate cancer remains one of the most common malignant tumors among men worldwide, with its incidence showing a continuous global increase. In recent years, mitochondria-targeted therapeutic strategies have emerged as a prominent research focus in oncology. However, a systematic analysis of the research trends concerning mitochondria in prostate cancer treatment is currently lacking. This study employed bibliometric methods to conduct a comprehensive analysis of the dynamic progress in mitochondria-related prostate cancer research, ascertain its significant role, and identify potential mitochondria-targeted therapeutic targets. Furthermore, using computer-aided methods, we designed and optimized a specific antibody, providing a candidate strategy for prostate cancer control. Methods: This study utilized the Web of Science Core Collection database (2015–2023) to perform visual analysis of country-keyword network relationships using CiteSpace and the Bibliometric Online Analysis Platform. Target screening was conducted by integrating bioinformatics and research intelligent agents. Subsequently, inhibitory antibodies were designed and screened based on GeoBiologics, followed by systematic in vitro evaluation of their purity, antigen-antibody affinity, conformational stability, colloidal stability, and enzymatic inhibitory activity. Results: The role of mitochondria in prostate cancer has garnered significant attention. Research trends have shifted from fundamental mechanisms to addressing drug resistance, developing novel delivery systems, and exploring combination therapies, highlighting mitochondria as a promising target for clinical intervention. Lon Peptidase 1(LONP1) is closely associated with mitochondrial homeostasis and prostate cancer progression. Antibody_82-M1 effectively blocks the ATP-binding site of LONP1, demonstrating high affinity, favorable stability, a high degree of humanization, and excellent drug-like properties, indicating strong potential for clinical translation. Conclusion: The designed LONP1 inhibitory antibody offers a novel strategy for prostate cancer treatment. The proposed workflow – “bibliometric guidance – research intelligent agent screening – bioinformatics support” – proves beneficial for enhancing AI-driven scientific research and optimizing the screening of therapeutic targets for diseases.

Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), are persistent organic pollutants ubiquitous in the environment. Epidemiological evidence has closely linked them to an elevated risk of prostate cancer (PCa). However, the precise molecular mechanisms by which combined PFOS/PFOA exposure promotes prostate cancer and their dynamic effects on the tumor microenvironment remain unclear. Methods: This study constructed a multi-module analytical framework integrating network pharmacology and computational biology: (1) Through ADMET toxicity prediction, multi-database target collection (three-way Venn analysis), panoramic GO/KEGG enrichment, focused androgen receptor (AR) axis analysis, GWAS genetic association validation, protein-protein interaction (PPI) network construction, machine learning-based independent screening, and a relaxed intersection strategy, we systematically identified PFOS/PFOA-prostate cancer core targets. (2) Subsequently, a PFAS-PTS score weighted purely by Cox coefficients was employed to drive gene set variation analysis (GSVA)-based pathway enrichment, tumor microenvironment (TME) deconvolution, ordinary differential equation (ODE)-based kinetic modeling, and drug intervention prediction. Results: Target collection identified 100 shared PFOS/PFOA-prostate cancer targets, from which 18 core targets were determined after multi-module screening. These targets were significantly enriched in the AR signaling axis, the PI3K-AKT pathway, and cell cycle regulation. Molecular docking confirmed strong binding affinities of PFOS/PFOA with AR (-9.49/-8.56 kcal/mol), AKT1 (-7.56/-6.93 kcal/mol), and PTEN (-6.36/-6.08 kcal/mol). GSVA revealed that the G2M checkpoint and E2F target gene pathways were significantly upregulated in the high-risk group (padj < 0.001), whereas the androgen response pathway was downregulated (padj = 4.8e-4). TME deconvolution (GSE141445, NNLS) revealed a significantly increased proportion of tumor cells (PCa) (p = 2.4e-4) and markedly reduced CD8+ T cell infiltration (p = 5.7e-4) in the high-risk group, indicating immunosuppressive microenvironment remodeling. ODE-based kinetic modeling confirmed that PFAS promoted tumor cell proliferation and suppressed immune surveillance in a dose-dependent manner. Drug intervention simulation demonstrated that the combination of enzalutamide and Alpelisib achieved optimal tumor cell inhibition (33.9% predicted by the ODE model). Conclusion: PFOS/PFOA promote prostate cancer progression primarily through multi-target synergy involving AR axis disruption, PI3K-AKT pathway activation, and cell cycle dysregulation, while reshaping an immunosuppressive tumor microenvironment. The integrative computational framework established in this study provides systematic computational evidence for risk assessment and therapeutic intervention in PFAS-associated prostate cancer.

Background: Prostate cancer remains one of the most prevalent malignancies among men globally, with its incidence showing an upward trend worldwide. Mitochondria, as central regulators of cellular energy metabolism, play crucial roles in prostate cancer initiation, progression, and drug resistance mechanisms. While mitochondria-targeted therapeutic strategies have emerged as a significant focus in cancer research in recent years, comprehensive bibliometric analyses mapping the evolving landscape of this field remain scarce. This study systematically investigates research trends in mitochondrial-prostate cancer interactions through bibliometric methods, identifying LONP1 as an emerging research focus in mitochondria-related prostate cancer therapy. Building on these findings, we employed artificial intelligence to virtually design a LONP1-specific antibody, proposing novel therapeutic targeting strategies for this field. Methods: Utilizing the Web of Science Core Collection database (2015-2023), we conducted visualization analyses through CiteSpace and VOSviewer to map network relationships among countries, institutions, journals, authors, and keywords. Building on this foundation, a humanized antibody targeting LONP1 was computationally designed and screened through the GeoBiologics platform. Results: Analysis of 452 included publications revealed the United States and China as leading contributors in this research domain. The field has progressively transitioned from fundamental mechanistic investigations to clinical applications, particularly focusing on drug resistance mechanisms, and combination therapy. LONP1 was identified as a critical mitochondrial regulator strongly associated with prostate cancer progression. Our AI-designed antibody (Antibody_82) demonstrated superior binding affinity and stability through effective targeting of LONP1’s ATP-binding site. Conclusion: This bibliometric study delineates evolving research trends in mitochondrial involvement in prostate cancer. The developed LONP1-targeting antibody shows promising therapeutic potential for castration-resistant prostate cancer (CRPC) patients, potentially offering more effective treatment alternatives.