Combined metabolome and transcriptome reveal HmF6'H1 regulating simple coumarin accumulation against powdery mildew infection in Heracleum moellendorffii Hance.

BACKGROUND: Powdery mildew, caused by Eeysiphe heraclei, seriously threatens Heracleum moellendorffii Hance. Plant secondary metabolites are essential to many activities and are necessary for defense against biotic stress. In order to clarify the functions of these metabolites in response to the pathogen, our work concentrated on the variations in the accumulation of secondary metabolites in H. moellendorffii during E. heraclei infection. RESULTS: Following E. heraclei infection, a significant upregulation of coumarin metabolites-particularly simple coumarins and associated genes was detected by RNA-seq and UPLC-MS/MS association analysis. Identifying HmF6'H1, a Feruloyl CoA 6'-hydroxylase pivotal in the biosynthesis of the coumarin basic skeleton through ortho-hydroxylation, was a significant outcome. The cytoplasmic HmF6'H1 protein was shown to be able to catalyze the ortho-hydroxylation of p-coumaroyl-CoA and caffeoyl-CoA, resulting in the formation of umbelliferone and esculetin, respectively. Over-expression of the HmF6'H1 gene resulted in increased levels of simple coumarins, inhibiting the biosynthesis of furanocoumarins and pyranocoumarins by suppressing PT gene expression, enhancing H. moellendorffii resistance to powdery mildew. CONCLUSIONS: These results established HmF6'H1 as a resistance gene aiding H. moellendorffii in combatting E. heraclei infection, offering additional evidence of feruloyl-CoA 6'-hydroxylase role in catalyzing various types of simple coumarins. Therefore, this work contributes to our understanding of the function of simple coumarins in plants' defense against powdery mildew infection.

CTCF-activated FUCA1 functions as a tumor suppressor by promoting autophagy flux and serum α-L-fucosidase serves as a potential biomarker for prognosis in ccRCC.

Notably, clear cell renal cell carcinoma (ccRCC) is characterized by a distinct metabolic tumor phenotype that involves the reprogramming of multiple metabolic pathways. Although there is increasing evidence linking FUCA1 to malignancies, its specific role and downstream signaling pathways in ccRCC remain poorly understood. Here we found that FUCA1 expression was significantly downregulated in ccRCC tissues, which also predicts poor prognosis of ccRCCpatients. Moreover, enhancing FUCA1 expression resulted in reduced invasion and migration of ccRCC cells, further indicating its protective role. CHIP-qPCR and luciferase assays showed that CTCF was an upstream transcription factor of FUCA1 and could reverse the effects caused by FUCA1 inactivation. The change in FUCA1 led to changes in the results of various autophagy-related proteins and the mRFP-GFP-LC3 dual fluorescence system, indicating that it may play a role in the fusion stage of autophagy. Protein-protein interaction analysis revealed that FUCA2 exhibited the closest interaction with FUCA1 and strongly predicted the prognosis of ccRCC patients. Additionally, serum AFU encoded by FUCA2 could serve as a valuable predictor for survival in ccRCC patients. FUCA1 suppresses invasion and migration of ccRCC cells, with its activity being modulated by CTCF. FUCA1 regulates the autophagy process in ccRCC cells by influencing the fusion between autophagosomes and lysosomes. FUCA2 shares similarities with FUCA1, and elevated serum AFU levels along with increased expression of FUCA2 are indicative of a favorable prognosis in ccRCC.

High peripheral neutrophil and monocyte count distinguishes renal cell carcinoma from renal angiomyolipoma and predicts poor prognosis of renal cell carcinoma.

Background: The presence of peripheral inflammatory cells has been linked to the prognosis of cancer. This study aims to investigate the distinct roles of absolute neutrophil count (ANC) and absolute monocyte count (AMC) in differentiating renal cell carcinoma (RCC) from renal angiomyolipoma (RAML), as well as their prognostic significance in RCC. Methods: We conducted a comprehensive analysis of peripheral immune cell data, clinicopathological data, and tumor characteristics in patients diagnosed with RCC or RAML from January 2015 to December 2021. Receiver operating characteristic (ROC) curves, as well as univariate and multivariate analyses, were employed to assess the diagnostic utility of AMC and ANC in differentiating between RCC and RAML. Kaplan-Meier curve analysis was used to study the survival of RCC patients with different AMC and ANC. The prognostic value of AMC and ANC in RCC was investigated using COX univariate and multivariate analysis. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used for bioinformatic correlation analysis. Results: A total of 1120 eligible patients were included in the study. The mean preoperative AMC and ANC in patients with RCC were found to be significantly higher compared to those in patients with RAML (P = 0.001 and P < 0.001, respectively). High preoperative AMC and ANC significantly correlated with smoking history, tumor length, gross hematuria, and high T Stage, N stage, and pathological grade. In multivariate analyses, an ANC> 3.205 *10^9/L was identified to be independently associated with the presence of RCC (HR = 1.618, P = 0.008). High AMC and ANC were significantly associated with reduced OS and PFS (P < 0.05), and ANC may be an independent prognostic factor. Public database analysis showed that signature genes of tumor-associated macrophages (TAMs) and tumor-associated neutrophils (TANs) were highly expressed in ccRCC. Conclusions: Elevated preoperative ANC and AMC can distinguish RCC from RAML and predict poor prognosis in patients with RCC. Furthermore, the signature genes of TAMs and TANs exhibit high expression levels in clear cell RCC.

Qianggan Ruanjian Pill ameliorates liver fibrosis through regulation of the TGF-ß1/Smad and PI3K/AKT signalling pathways.

ETHNOPHARMACOLOGICAL RELEVANCE: Liver fibrosis is a critical pathological process in the progression of chronic liver injury, ultimately resulting in cirrhosis, for which currently available therapeutic interventions remain inadequate. Among these, the Qianggan Ruanjian Pill (QGRJP) has emerged as a clinically experienced formula with notable therapeutic efficacy against liver fibrosis. However, the precise underlying mechanisms require further investigation. AIM OF THE STUDY: In this study, we investigated the key pathways and target genes of QGRJP that attenuate liver fibrosis and elucidated the underlying mechanisms. MATERIALS AND METHODS: High-performance liquid chromatography-mass spectrometry (HPLC-MS) was used to identify the major components of the QGRJP. Mouse models of liver fibrosis were established by injecting olive oil containing 25% carbon tetrachloride (CCl4), which was administered at different doses of QGRJP by gavage. Liver damage and function were assessed using serum biochemical detection, ultrasound imaging, and histopathological examination. The anti-fibrosis effect was assessed using immunohistochemistry, western blotting, and quantitative real-time PCR (qRT-PCR). The in vivo safety of the QGRJP was evaluated using weight monitoring and biopsy. Potential anti-liver fibrosis signalling pathways and key targets of QGRJP were identified using RNA-seq analysis and network pharmacology. The predicted targets and pathways were validated using in vitro and in vivo experiments. RESULTS: QGRJP significantly ameliorated CCl4-induced liver fibrosis, and its mechanism was correlated with the inhibition of hepatic stellate cell (HSC) activation and the inflammatory response via inhibition of the TGF-ß1/Smad and PI3K/AKT pathways, leading to a significant reduction in the expression of collagen and other fibrosis-related proteins. Additionally, no obvious toxic side effects were observed in the major organs of the mice or in activated HSCs (aHSCs). CONCLUSION: This study demonstrated that QGRJP mitigated liver injury, inflammation, and fibrosis by inhibiting the TGF-ß1/Smad and PI3K/AKT signalling pathways.

Absolute monocyte count has a diagnostic role in distinguishing tumor marker-negative TGCT from benign testicular tumor via CCL2 regulation.

Clinically, for testicular tumor patients with negative tumor markers, how to distinguish the malignant from the benign is a difficult problem. This study aimed to assess the clinical significance of the absolute monocyte count (AMC) in differential diagnosis of testicular germ cell tumor with stage S0 (TGCTS0) and benign testicular tumor. In this retrospective single-center study, a total of 90 patients newly diagnosed with benign testicular tumor or TGCTS0 were reviewed. All patients received surgical intervention as the primary treatment method. AMC and other clinicopathological parameters were analyzed. Receiver operating characteristic (ROC) curves were constructed to assess the diagnostic power of investigated parameters, and to determine the optimal cutoff values. Kaplan-Meier curve analysis was used to study the survival of patients with TGCTS0. qRT-PCR and immunohistochemistry (IHC) were performed to examine the expression of C-C motif chemokine ligand 2 (CCL2) mRNA and protein respectively. Differential gene expression and functional enrichment analysis were performed using Gene Expression Omnibus and the Cancer Genome Atlas databases. The mean preoperative AMC in patients with TGCTS0 was significantly higher than that in patients with benign testicular tumor (P = .020). AMC > 0.485*10^9/L was identified to be associated with the presence of TGCTS0 (hazard ratio [HR] = 3.074, P = .026), and patients with higher AMC level had worse progression free survival (PFS) (P = .047). Furthermore, AMC combined with lactate dehydrogenase (LDH) achieved a better diagnostic efficacy for TGCTS0 (area under curve [AUC] = 0.695). Tumor-associated macrophages (TAMs) signature gene CCL2 was highly expressed in TGCT compared with normal testicular tissue. Functional enrichment analysis showed that CCL2 is closely involved in the Extracellular Matrix Organization pathway and positively correlated with the expression of various matrix metalloproteinases (MMPs). Elevated AMC may serve as a predictor of higher risk of TGCTS0, and CCL2 mediated TAMs infiltration and MMPs secretion is essential for the tumorigenesis of TGCT.

PBRM1 mutation and WDR72 expression as potential combinatorial biomarker for predicting the response to Nivolumab in patients with ccRCC: a tumor marker prognostic study.

PURPOSE: Immune checkpoint therapy (ICT) provides a new idea for the treatment of advanced clear cell renal cell carcinoma (ccRCC), which can bring significant benefits to patients. However, the clinical application of ICT is limited because of the lack of predictive biomarkers to select potential responders. This study aims to propose a new biomarker to predict the response to Nivolumab in patients with ccRCC. MATERIALS AND METHODS: The genes that significantly improve the prognosis of ccRCC were retrieved from The Cancer Genome Atlas (TCGA) database. The genomic and clinical data were from patients that had been registered in prospective clinical trials (CheckMate 009, CheckMate 010 and CheckMate 025). TCGA, Gene Expression Omnibus (GEO), and The Human Protein Atlas database were used to analyze the gene and protein expression of WD repeat-containing protein 72 (WDR72) in ccRCC. Gene Ontology (GO) & The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) were performed to dig relevant mechanisms of WDR72. Single sample gene set enrichment analysis (ssGSEA) was conducted to evaluate the role of WDR72 in immune infiltration. Cell proliferation assay, FAO and ATP quantification were used to explore and verify the molecular mechanisms. The expression of WDR72, FOXP3, CD8, and CPT1A was examined by IHC in 20 advanced ccRCC tissue samples at the Urology Department of our hospital. The MethSurv was used to identify PBRM1 and WDR72 gene methylation and its effect on prognosis of ccRCC. RESULTS: WDR72 is the most significant gene for improving overall survival (OS) in ccRCC. In all three checkmates, OS and progression free survival (PFS) were found to be significantly higher in WDR72 high expression group than that in WDR72 low expression group (P=0.040 and P=0.012, respectively), and similar conclusions could be drawn from the PBRM1-mutation (MUT) compared with the PBRM1-wildtype (WT) (P=0.007 and P=0.006, respectively). What's more, high expression of WDR72 plus PBRM1-MUT as a combinatorial biomarker showed improved OS (HR=0.388, P=0.0026) and PFS (HR=0.39, P=0.0066) compared to low expression of WDR72 plus PBRM1-WT. Functional enrichment analysis showed that WDR72 was closely positively related to fatty acid degradation and fatty acid beta oxidation pathway in ccRCC. In vitro experiments showed that high expression of WDR72 can promote fatty acids oxidation and inhibit the proliferation of ccRCC cells. Immune analysis revealed that WDR72 high expression was associated with decreased infiltration of Treg cells and low ssGSEA score of check-point. IHC results showed that WDR72 was negatively correlated with FOXP3 expression (r=-0.506, P=0.023) and positively correlated with CPT1A expression (r=0.529, P=0.017). CONCLUSIONS: The present study indicated that high expression of WDR72 may indicate a good prognosis of patients treated with Nivolumab and WDR72 expression combined with PBRM1 mutation could be more persuasive to predict the response for ICT in ccRCC patients.