Prostate cancer (PCa) is a common and serious health issue among older men globally. Metabolic reprogramming, particularly involving lactate and mitochondria, plays a key role in PCa progression, but studies linking these factors to prognosis are limited. To identify novel prognostic markers of PCa based on lactate-mitochondria-related genes (LMRGs), RNA sequencing data and clinical information of PCa from The Cancer Genome Atlas (TCGA) and the cBioPortal database were used to construct a lactate-mitochondria-related risk signature. Here, we established a novel nine-LMRG risk signature for PCa, and Kaplan-Meier curves confirmed a worse prognosis for high-risk subgroups in the TCGA dataset. Meanwhile, a nomogram that effectively predicts the prognosis of PCa patients was also constructed. Next, close associations between the lactate-mitochondria-related signature and the immune microenvironment were examined to clarify the role of LMRGs in shaping the immune landscape. Furthermore, as the only lactate-related gene among the nine key prognostic risk genes, myeloperoxidase (MPO) was identified as a key factor that mediates lactate production and through attenuation of the glycolytic pathway. More importantly, MPO significantly inhibited PCa cell migration, invasion, and epithelial-mesenchymal transition (EMT), indicating its potential as an anticancer gene. Additionally, PCa with high MPO expression is highly sensitive to chemotherapeutic agents and mitochondrial inhibitors, highlighting its potential as an improved therapeutic strategy for PCa management.
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http://dx.doi.org/10.3389/fgene.2024.1515045 | DOI Listing |
Appl Biochem Biotechnol
January 2025
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Diabetes affects approximately 422 million people worldwide, leading to 1.5 million deaths annually and causing severe complications such as kidney failure, neuropathy, and cardiovascular disease. Aldose reductase (AR), a key enzyme in the polyol pathway, is an important therapeutic target for managing these complications.
View Article and Find Full Text PDFFood Addit Contam Part A Chem Anal Control Expo Risk Assess
January 2025
USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit, Peoria, Illinois, USA.
Cocoa is a high value product and therefore a potential target for economic adulteration with less expensive ingredients. Carob flour is less expensive than cocoa powder and is frequently cited as a potential cocoa substitute. While carob has legitimate uses as a cocoa replacement, these characteristics also make it a potential adulterant of cocoa powder.
View Article and Find Full Text PDFAgri
January 2025
Department of Anesthesiology and Reanimation, Bursa Uludağ University Faculty of Medicine, Bursa, Türkiye.
Objectives: In this study, we aimed to compare the efficacy of two regional anesthesia methods, transversus abdominis plane (TAP) block and erector spinae plane (ESP) block, for intraoperative and postoperative pain relief in patients undergoing laparoscopic nephrectomy.
Methods: Fifty patients aged 18-80 years with American Society of Anesthesiologists (ASA) classification I-II scheduled for elective laparoscopic nephrectomy were included after ethical approval and informed consent. Patients were randomly assigned to either Group TAP (receiving TAP block) or Group ESP (receiving ESP block).
Agri
January 2025
Department of Anesthesiology and Reanimation, İstanbul Medipol University Faculty of Medicine, İstanbul, Türkiye.
Objectives: Breast-conserving surgery is a common breast operation type in the world. Patients may feel severe postoperative pain after the surgery. Several regional anesthesia methods are used for postoperative pain control as a part of multimodal analgesia management after breast surgery.
View Article and Find Full Text PDFStudies generating transcriptomics, proteomics, lipidomics, and metabolomics (colloquially referred to as "omics") data allow researchers to find biomarkers or molecular targets or understand complex biological structures and functions by identifying changes in biomolecule abundance and expression between experimental conditions. Omics data are multidimensional, and oftentimes summarization techniques such as principal component analysis (PCA) are used to identify high-level patterns in data. Though useful, these summaries do not allow exploration of detailed patterns in omics data that may have biological relevance.
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