Search Results (48)

Background/Objectives: Small-cell prostate cancer (SCPC) is a rare, aggressive variant of prostate cancer with poor prognosis, arising “de novo” or through lineage plasticity from conventional adenocarcinoma under androgen receptor-targeted therapies. Characterized by low PSA levels despite high tumor burden and visceral metastases, SCPC poses diagnostic challenges with conventional and PSMA-targeted imaging due to variable tracer uptake. This narrative review aims to evaluate the role of PET/CT tracers in clinical and preclinical settings for SCPC diagnosis, staging, and management. Methods: A systematic literature search was conducted on PubMed and Scopus up to December 2025 using terms “PET OR positron emission tomography AND prostate OR prostatic AND small-cell NOT non-small-cell”. Eight studies (five clinical, three preclinical) on the role of PET/CT imaging in SCPC were included and analyzed for study design, population, tracers, and findings, with comparative evaluation of diagnostic performance across PET tracers. Results: Clinical studies showed that ¹¹C-choline detects progression at low PSA but misses SCPC; ¹⁸F-FDG exhibited a high SUVmax value for distinguishing SCPC from adenocarcinomas with neuroendocrine differentiation, predicting poor survival; ⁶⁸Ga-DOTATATE identified NEPC/SCPC with promising prognostic/therapeutic value for selected cases. Preclinical models evaluated ⁸⁹Zr-tracers targeting DLL3 or CDCP1 (an antigen expressed in aggressive neuroendocrine tumours) and ¹⁸F-BnTP (a target of mitochondrial activity) in SCPC subtypes, focusing on translational imaging. Conclusions: From this review, although still based on limited literature evidence and mostly derived from retrospective and small SCPC sub-cohorts,¹⁸F-FDG PET/CT currently appears as the most reliable tracer for SCPC, aiding tumor detection and prognostication when PSMA/choline imaging fails. In the preclinical setting, DLL3/CDCP1-targeted agents emerge as promising theranostics tools. Multimodal imaging approach and prospective trials are needed for standardization and patient-based SCPC management. Full article

Adolescence is a metabolically vulnerable period, during which rapid physiological maturation coincides with the dynamic remodelling of the gut microbiome. This narrative review summarises evidence from 2015 to 2025 to clarify how disturbances to the gut–liver axis driven by dysbiosis contribute to the development and progression of non-alcoholic fatty liver disease (NAFLD) in young people. Based on a systematic search of the databases PubMed, Scopus and Web of Science, we outline the basis of bidirectional communication between the gut and liver and emphasise how microbial imbalance alters the handling of lipids in the liver by enhancing de novo lipogenesis, impairing fatty acid oxidation and disrupting AMPK signalling and mitochondrial function. Consistent findings from clinical and experimental studies show that adolescents with NAFLD exhibit reduced microbial diversity, the enrichment of ethanol- and LPS-producing taxa, and altered short-chain fatty acid profiles. Each of these is associated with hepatic inflammation and metabolic reprogramming. Microbial molecules, including LPS, secondary bile acids and branched-chain amino acid metabolites, activate TLR4–NF-κB pathways, promote Kupffer cell activation and intensify oxidative stress. These mechanisms intersect with factors specific to adolescence, such as increased adiposity, hormonal shifts and diet-induced metabolic strain. Dietary patterns emerge as key modulators of these processes. Westernised diets promote dysbiosis and endotoxemia, whereas Mediterranean, fibre-rich and plant-based diets enhance SCFA production, strengthen epithelial integrity and modulate adiponectin-dependent hepatic metabolism. Micronutrient-sensitive epigenetic regulation, particularly that involving folate, choline and polyphenols, also plays a role in shaping lipid homeostasis and inflammatory tone. We also highlight emerging evidence that the activation of cytoprotective pathways, especially Nrf2, is dependent on lifestyle factors and links antioxidant-rich functional foods and physical activity to improved mitochondrial resilience and microbiome stability. We evaluate therapies targeting the microbiome, including probiotics, prebiotics, synbiotics and postbiotics, which reduce endotoxemia, restore microbial balance and complement dietary strategies. Thus, these findings emphasise the importance of age-specific, mechanistically informed interventions that integrate diet quality, microbial ecology, and the molecular pathways that govern metabolic health in adolescents with NAFLD. Full article

Chemoresistance remains a major barrier to effective colorectal cancer (CRC) therapy, yet its metabolic underpinnings are poorly defined. Here, we integrate lipidomic profiling, enzymatic analysis, and functional perturbation approaches to elucidate the contribution of phosphatidylcholine (PC) metabolism and its biosynthetic regulator Choline Phosphotransferase 1 (CHPT1) to drug response. Comparative analysis of chemosensitive and chemoresistant CRC cell lines revealed that resistant HT29 cells exhibited significantly higher PC content and altered PC/lysophosphatidylcholine (LPC)ratios relative to sensitive counterparts. Importantly, functional perturbation confirmed causality: CHPT1 overexpression in SW620 cells was sufficient to promote PC accumulation and confer a chemoresistant phenotype. These findings identify CHPT1 as a metabolic gatekeeper of chemoresistance. Consistently, Human Protein Atlas survival analyses further support its clinical relevance, as elevated CHPT1 expression correlates with poor patient outcomes in CRC. Mechanistically, CHPT1-driven PC enrichment may sustain pro-survival signaling, while reducing lysophospholipid-mediated stress pathways. To therapeutically target this vulnerability, we investigated edelfosine (Edel), an alkyl-lysophospholipid that disrupts lipid rafts and inhibits PC biosynthesis upstream of CHPT1. Notably, edelfosine-mediated disruption of the Kennedy pathway enhances chemosensitivity in the resistant CRC model. Collectively, our study identifies CHPT1 and PC metabolism as central determinants of CRC drug response and proposes edelfosine-based metabolic reprogramming as a promising strategy to overcome resistance. Full article

The gut microbiota is crucial for metabolic homeostasis and cardiovascular health. Dysbiosis triggers a gut–brain–heart axis dysfunction: vagal signaling promotes neuroinflammation and cerebral damage, which in turn impairs cardiac function. This bidirectional cycle is further exacerbated by reduced cerebral perfusion. Trimethylamine-N-oxide (TMAO), a metabolite of dietary choline and L-carnitine, acts as a primary mediator in this network. Elevated TMAO levels—resulting from bacterial conversion and hepatic oxidation—are linked to atherosclerosis and heart failure. Mechanistically, TMAO activates the NLRP3 inflammasome, inhibits the SIRT3-SOD2 pathway, and promotes platelet hyperreactivity. Furthermore, it modulates the autonomic nervous system, enhancing sympathetic activity and cardiac arrhythmias. Clinical evidence suggests TMAO is a potent predictor of mortality in HF. While current HF therapies focus on end-organ response (beta-blockers) or humoral pathways (ACE inhibitors), directly targeting the microbiota and TMAO offers a novel therapeutic frontier. Integrating TMAO assessment into risk models and utilizing advanced in vitro gut–brain models will be essential for developing personalized, groundbreaking cardiovascular interventions. Within this framework, the main aim of the present review is to describe how cardiac autonomic control can be directly modulated by the microbiota and its byproducts like TMAO. This latter is a leading target candidate for novel HF prevention and therapy interventions. Full article

Sepsis-associated acute kidney injury (SA-AKI) is a prevalent and life-threatening complication in critically ill children, contributing to high mortality rates (up to 30%) and long-term renal dysfunction in pediatric intensive care units. This review synthesizes recent advances in the signalling pathways underlying SA-AKI, emphasizing pediatric-specific mechanisms, biomarkers, and therapeutic targets. This review covers inflammatory cascades via TLR/NF-κB leading to cytokine storms (IL-6, TNF-α); apoptosis and necrosis involving mitochondrial Bcl-2 dysregulation and OLFM4; and emerging processes like pyroptosis (NF-κB-mediated), metabolic reprogramming (choline deficiency and Nrf2-mitophagy), and novel routes such as cGAS-STING and TGF-β signalling. Biomarkers like urinary OLFM4, DKK3, NGAL, and serum suPAR, alanine, and Penkid enable early diagnosis and risk stratification, with models like PERSEVERE-II enhancing prognostic accuracy. Therapeutic strategies include fluid optimization, renal replacement therapies (CRRT, SLED-f), and pathway-targeted interventions such as choline supplementation, oXiris for cytokine removal, Humanin for immunomodulation, and investigational cGAS-STING inhibitors. Despite progress, challenges persist in translating animal models to pediatric trials and addressing heterogeneity. Integrating multi-omics and precision medicine holds promise for improving outcomes, underscoring the need for multicenter studies in children. Full article

Gut microbiota has increasingly been shown to exert effects beyond the gastrointestinal tract, some of which are mediated through its metabolites, such as trimethylamine N-oxide (TMAO)—a compound converted by gut bacteria from dietary choline found predominantly in animal products that is associated with cardiovascular disease (CVD). However, a significant gap persists in human clinical trials assessing its potential causal role. This narrative review aims to present the current understanding of the gut microbiome, TMAO, and their relationship with CVD, while proposing future directions that may support the use of TMAO as a biomarker and guide potential interventions to reduce its harmful impact. Both animal and human studies have demonstrated a link between TMAO and CVD, with animal studies also indicating a causal effect—showing increased cardiovascular risk following TMAO administration and reduced risk when TMAO is eliminated. While direct extrapolation from animal models to humans is limited due to biological differences, these findings offer a foundation for the development of well-designed clinical trials in human populations. Although direct approaches to target TMAO—such as trimethylamine (TMA) lyase inhibitors and antisense oligonucleotide (ASO) therapy—have shown promising results in animal studies, they have yet to be investigated in human trials, leaving indirect strategies such as dietary changes and probiotics as the only currently available options. Full article

Background: Charcot–Marie–Tooth (CMT) is a group of inherited diseases impairing the peripheral nervous system. CMT originates from genetic variants that affect proteins fundamental for the myelination of peripheral nerves and survival. Moreover, environmental and humoral factors can impact disease development and evolution. Currently, no therapy is available. Metabolomics is an emerging field of biomedical research that enables the development of novel biomarkers for neurodegenerative diseases by targeting metabolic pathways or metabolites. This study aimed to evaluate the metabolomics profile of CMT disease by comparing patients with healthy individuals. Methods: A total of 22 CMT patients (CMT) were included in this study and were demographically matched with 26 healthy individuals (C). Serum samples were analyzed through Nuclear Magnetic Resonance spectroscopy, and multivariate and univariate statistical analyses were subsequently applied. Results: A supervised model showed a clear separation (R²X = 0.3; R²Y = 0.7; Q² = 0.4; p-value = 0.0004) between the two classes of subjects, and nine metabolites were found to be significantly different (2-hydroxybutyrate, 3-hydroxybutyrate, 3-methyl-2-oxovalerate, choline, citrate, glutamate, isoleucine, lysine, and methyl succinate). The combined ROC curve showed an AUC of 0.94 (CI: 0.9–1). Additional altered metabolic pathways were also identified within the disease context. Conclusion: This study represents a promising starting point, demonstrating the efficacy of metabolomics in evaluating CMT patients and identifying novel potential disease biomarkers. Full article

Background: Pediatric high-grade glioma (pHGG) is a highly aggressive cancer with unique biology distinct from adult high-grade glioma, limiting the effectiveness of standard treatment protocols derived from adult research. Objective: The purpose of this report is to present preliminary results from an ongoing pilot study integrating spectroscopic magnetic resonance imaging (sMRI) to guide proton beam therapy and longitudinal imaging analysis in pediatric patients with high-grade glioma (pHGG). Methods: Thirteen pediatric patients under 21 years old with supratentorial WHO grade III-IV glioma underwent baseline and serial whole-brain spectroscopic MRI alongside standard structural MRIs. Radiation targets were defined using T1-weighted contrast enhanced, T2-FLAIR, and Cho/NAA ≥ 2X maps. Longitudinal analyses included voxel-level metabolic change maps and spatial overlap metrics comparing pre-proton therapy and post-. Results: Six patients had sufficient longitudinal data; five received sMRI-guided PBT. Significant positive correlation (R² = 0.89, p < 0.0001) was observed between T2-FLAIR and Cho/NAA ≥ 2X volumes. Voxel-level difference maps of Cho/NAA and Choline revealed dynamic metabolic changes across follow-up scans. Analyzing Cho/NAA and Cho changes over time allowed differentiation between true progression and pseudoprogression, which conventional MRI alone struggles to achieve. Conclusions: Longitudinal sMRI enhanced metabolic tracking in pHGG, detects early tumor changes, and refines RT targeting beyond structural imaging. This first in-kind study highlights the potential of sMRI biomarkers in tracking treatment effects and emphasizes the complementary roles of metabolic and radiographic metrics in evaluating therapy response in pHGG. Full article

Despite substantial improvement in the definitive management of primary prostate cancer, a significant number of patients experience biochemical recurrence—a clinical state in which serum prostate-specific antigen (PSA) levels rise prior to the development of physical signs or symptoms. The early detection and localization of biochemical recurrence may confer eligibility for salvage therapy; therefore, imaging techniques that provide accurate disease visualization are imperative. In this review, we discuss various imaging methods for localizing disease in the context of biochemical recurrence in prostate cancer. Particularly, we describe available or investigational positron emission tomography (PET) radiotracers, such as ¹⁸F-FDG, ¹⁸F-NaF, choline (both ¹⁸F and ¹¹C), the ¹⁸F-labeled amino acid derivative fluciclovine, prostate-specific membrane antigen (PSMA) radioligands, and the short peptide compound bombesin. Generally, PET radiotracers such as ¹⁸F-FDG, ¹⁸F-NaF, and ¹⁸F/¹¹C choline have fallen out of favor because of their inferior sensitivity and/or specificity in relation to more recently developed radiotracers. ¹⁸F-fluciclovine has addressed these shortcomings by exploiting the upregulation of amino acid transporters in tumors; however, PSMA-targeting agents have significantly advanced the management of biochemical recurrence of prostate cancer through their high sensitivity and specificity, enabling the identification of candidates for radionuclide therapy. Investigational agents, such as bombesin-based radiotracers, may address the shortcomings of treating prostate cancer with little to no PSMA expression. Full article

Background/Objectives: In recent years, interest in studying changes in cancer metabolites has resulted in significant advances in the metabolomics field. Glioblastoma remains the most aggressive and lethal brain malignancy, which presents with notable metabolic reprogramming. Methods: We performed literature research from the PubMed database and considered research articles focused on the key metabolic pathways altered in glioblastoma (e.g., glycolysis, lipid metabolism, TCA cycle), the role of oncometabolites and metabolic plasticity, and the differential expression of metabolites in glioblastoma. Currently used metabolomics approaches can be either targeted, focusing on specific metabolites and pathways, or untargeted, which involves data-driven exploration of the metabolome and also results in the identification of new metabolites. Data processing and analysis is of great importance and can be improved with the integration of machine learning approaches for metabolite identification. Results: Changes in α/β-glucose, lactate, choline, and 2-hydroxyglutarate were detected in glioblastoma compared with non-tumor tissues. Different metabolites such as fumarate, tyrosine, and leucine, as well as citric acid, isocitric acid, shikimate, and GABA were detected in blood and CSF, respectively. Conclusions: Although promising new technological and bioinformatic approaches help us understand glioblastoma better, challenges associated with biomarker availability, tumor heterogeneity, interpatient variability, standardization, and reproducibility still remain. Metabolomics research, either alone or combined with genomics or proteomics (i.e., multiomics) in glioblastoma, can lead to biomarker identification, tracking of metabolic therapy response, discovery of novel metabolites and pathways, and identification of potential therapeutic targets. Full article

Background/Objectives: Thus far, no studies have examined the relationship between fruit and vegetable (F and V) intake, urinary metabolite quantities, and weight change. Therefore, the aim of the current study was to explore changes in urinary metabolomic profiles during and after a 10-week weight loss intervention where participants were prescribed a high F and V diet (7 servings daily). Methods: Adults with overweight and obesity (n = 34) received medical nutrition therapy counselling to increase their F and V intakes to national targets (7 servings a day). Data collection included weight, dietary intake, and urine samples at baseline at week 2 and week 10. Urinary metabolite profiles were quantified using ¹H NMR spectroscopy. Machine learning statistical approaches were employed to identify novel urine-based metabolite biomarkers associated with high F and V diet patterns at weeks 2 and 10. Metabolic changes appearing in urine in response to diet were quantified using Metabolite Set Enrichment Analysis (MSEA). Results: Energy intake was significantly lower (p = 0.02) at week 10 compared with baseline. Total F and V intake was significantly higher at week 2 and week 10 (p < 0.05). In total, 123 urinary metabolites were quantified. At week 10, 21 metabolites showed significant changes relative to baseline. Of these, 11 metabolites also significantly changed at week 2. These overlapping metabolites were acetic acid, dimethylamine, choline, fumaric acid, glutamic acid, L-tyrosine, histidine, succinic acid, uracil, histamine, and 2-hydroxyglutarate. Ridge Classifier and Linear Discriminant Analysis provided best prediction accuracy values of 0.96 when metabolite level of baseline was compared to week 10. Conclusions: Urinary metabolites quantified represent potential candidate biomarkers of high F and V intake, associated with a reduction in energy intake. Further studies are needed to validate these findings in larger population studies. Full article

Background: Kidney transplantation is the therapy of choice for patients with advanced chronic kidney disease; however, predicting graft outcomes remains a significant challenge. Early identification of reliable biomarkers could enhance post-transplant management and improve long-term outcomes. This study aimed to identify metabolomic biomarkers within the first week after kidney transplantation that predict renal function at six months. Methods: We conducted a prospective study involving 50 adult patients who received deceased donor kidney transplants. Plasma samples collected one week after transplant were analyzed using liquid chromatography–mass spectrometry in a semi-targeted metabolomic approach. A Partial Least Squares-Discriminant Analysis (PLS-DA) model identified metabolites associated with serum creatinine > 1.5 mg/dL at six months. Metabolites were selected based on a Variable Importance in Projection (VIP) score > 1.5, which was used to optimize model performance. Results: The PLS-DA model demonstrated strong predictive performance with an area under the curve (AUC) of 0.958. The metabolites negatively associated with serum creatinine > 1.5 mg/dL were 3-methylindole, guaiacol, histidine, 3-indolepropionic acid, and α-lipoic acid. Conversely, the metabolites positively associated with worse kidney graft outcomes included homocarnosine, 5-methylcytosine, xanthosine, choline, phenylalanine, kynurenic acid, and L-kynurenine. Conclusions: Early metabolomic profiling after transplantation shows promise in predicting renal function. Identifying metabolites with antioxidant and anti-inflammatory properties, as well as those that are harmful and could be targeted therapeutically, underscores their potential clinical significance. The link between several metabolites and the tryptophan pathway suggests that further specific evaluation of this pathway is warranted. These biomarkers can enhance patient management and graft survival. Full article

Ischemic stroke is one of the leading causes of death and permanent disability in the world. Rapid diagnosis and intervention are crucial for reducing its consequences on individuals and societies. Therefore, identifying reliable biomarkers for early detection, prognostics, and therapy can facilitate the early prediction and prevention of stroke. Metabolomics has been shown as a promising tool for biomarker discovery since many post-ischemic metabolites can be found in the plasma or serum of the patient. In this research, we performed a comparative targeted metabolomic analysis of stroke thrombi, stroke patient serums, and healthy control serums in order to determine the alteration in the patients’ metabolomes, which might serve as biomarkers for early prediction or stroke prevention. The most statistically altered metabolites characterized in the patient serums compared with the control serums were glutamate and serotonin, followed by phospholipids and triacylglycerols. In stroke thrombi compared with the patients’ serums, the most significantly altered metabolites were classified as lipids, with choline-containing phospholipids and sphingomyelins having the highest discriminatory score. The results of this preliminary study could help in understanding the roles of different metabolic changes that occur during thrombosis and cerebral ischemia and possibly suggest new metabolic biomarkers for ischemic stroke. Full article

While obesity-related nonalcoholic fatty liver disease (NAFLD) is linked with metabolic dysfunctions such as insulin resistance and adipose tissue inflammation, lean NAFLD more often progresses to liver fibrosis even in the absence of metabolic syndrome. This review aims to summarize the current knowledge regarding the mechanisms of liver fibrosis in lean NAFLD. The most commonly used lean NAFLD models include a methionine/choline-deficient (MCD) diet, a high-fat diet with carbon tetrachloride (CCl₄), and a high-fructose and high-cholesterol diet. The major pro-fibrogenic mechanisms in lean NAFLD models include increased activation of the extracellular signal-regulated kinase (ERK) pathway, elevated expression of α-smooth muscle actin (α-SMA), collagen type I, and TGF-β, and modulation of fibrogenic markers such as tenascin-X and metalloproteinase inhibitors. Additionally, activation of macrophage signaling pathways promoting hepatic stellate cell (HSC) activation further contributes to fibrosis development. Animal models cannot cover all clinical features that are evident in patients with lean or obese NAFLD, implicating the need for novel models, as well as for deeper comparisons of clinical and experimental studies. Having in mind the prevalence of fibrosis in lean NAFLD patients, by addressing specific pathways, clinical studies can reveal new targeted therapies along with novel biomarkers for early detection and enhancement of clinical management for lean NAFLD patients. Full article

Non-alcoholic steatohepatitis (NASH), which is the most severe manifestation of non-alcoholic fatty liver disease (NAFLD), has been recognized as a major hepatocellular carcinoma (HCC) catalyst. However, the molecular mechanism of NASH-liver fibrosis-HCC sequence remains unclear and a specific and effective treatment for NASH has not yet been established. The progress in this field depends on the availability of reliable preclinical models which show the steady progression to NASH, liver cirrhosis, and HCC. However, most of the NASH mouse models that have been described to date develop NASH generally for more than 24 weeks and there is an uncertainty of HCC development. To overcome such shortcomings of experimental NASH studies, we established a novel NASH-HCC mouse model with very high reproducibility, generality, and convenience. We treated male C57BL/6J mice with a newly developed choline-deficient and methionine-restricted high-fat diet, named OYC-NASH2 diet, for 60 weeks. Treatment of OYC-NASH2 diet for 3 weeks revealed marked steatosis, lobular inflammation, and fibrosis, histologically diagnosed as NASH. Liver cirrhosis was observed in all mice with 48-week treatment. Liver nodules emerged at 12 weeks of the treatment, > 2 mm diameter liver tumors developed in all mice at 24 weeks of the treatment and HCC appeared after 36-week treatment. In conclusion, our rapidly progressive and highly reproducible NASH-liver cirrhosis-HCC model is helpful for preclinical development and research on the pathogenesis of human NAFLD-NASH-HCC. Our mouse model would be useful for the development of novel chemicals for NASH-HCC-targeted therapies. Full article