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PubMed2026

Oncogenic PIK3CA reprograms glutamine metabolism to drive bladder cancer progression.

BACKGROUND: Genomic analysis has revealed that approximately 40% of bladder cancer (BLCA) tumors harbor alterations in the PI3K/AKT pathway, with PIK3CA mutations occurring in 15-25% of cases. PIK3CA, which encodes the catalytic p110α subunit of PI3K, plays a critical role in regulating cell survival, proliferation, and metabolism. However, the metabolic and functional consequences of PIK3CA mutations in BLCA remain poorly defined. METHODS: To investigate the role of PIK3CA mutations in BLCA, we performed targeted sequencing on tumors from patients, identifying recurrent alterations. Using CRISPR/Cas9 knock-in models in SCaBER and UM-UC-3 cell lines, we introduced the PIK3CA E545K mutation to study its effects. We conducted transcriptomic profiling, targeted metabolomics, and stable isotope tracing to assess metabolic reprogramming. Functional assays measured proliferation, mitochondrial complex I activity, and glutaminolysis. Orthotopic xenografts in mice were used to evaluate in vivo tumor growth and metabolism. RESULTS: PIK3CA mutations were present in 20% of cases, consistent with TCGA data. The E545K and E545Q hotspots accounted for 70% of these mutations. PIK3CA E545K strongly activated PI3K/AKT signaling. Transcriptomic analysis revealed enrichment of OXPHOS, fatty acid metabolism, and mTORC1 signaling. Metabolomics indicated changes in TCA cycle metabolites and enhanced reductive carboxylation of glutamine to citrate, driving fatty acid synthesis. Mutant cells showed increased expression of GLS1 and FASN, higher proliferation rates, and elevated mitochondrial complex I activity. In vivo, PIK3CA-mutant xenografts displayed significantly increased tumor growth. CONCLUSION: PIK3CA mutations are frequent drivers of metabolic reprogramming in BLCA, leading to increased glutamine flux, elevated OXPHOS activity, and enhanced fatty acid synthesis, all of which contribute to tumor progression. These findings provide the first comprehensive evidence that PIK3CA-driven metabolic alterations are both biomarkers of aggressive disease and actionable therapeutic targets. The efficacy of PI3Kα inhibition in combination with metabolic targets may support its potential in precision medicine for PIK3CA-mutant BLCA and highlights the value of integrating metabolic biomarkers into treatment strategies for advanced BLCA.

Journal Article↗

PubMed2026

Temporal DIA-MS proteomics reveals coordinated metabolic reprogramming associated with oil accumulation in oil palm mesocarp.

Oil palm (Elaeis guineensis Jacq.) is the most productive oil-bearing crop globally, yet the molecular basis of mesocarp development and lipid accumulation remains poorly understood. Ultra-deep data-independent acquisition mass spectrometry (DIA-MS) was applied to characterize proteome dynamics in two contrasting genotypes, seedless (KS) and thin-shelled (TS), across five developmental stages (P1-P5) spanning fruit development to mature oil accumulation. Phenotypic analysis revealed higher mesocarp proportion and oil content in KS during late maturation. A total of 137,615 peptides corresponding to 12,163 protein groups were identified, providing a temporal proteomic landscape of mesocarp development. Multivariate analysis indicated that developmental progression was the primary contributor to proteomic variation, whereas genotype-associated differences increased during lipid accumulation. Differentially abundant proteins were mainly associated with carbohydrate metabolism, photosynthesis, proteolysis, antioxidant responses, and lipid biosynthesis. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and KOG analyses suggested extensive remodeling of metabolic networks, including developmental changes in photosynthesis-associated proteins and increased representation of lipid-associated pathways during maturation. Weighted protein co-expression network analysis identified 17 modules associated with developmental progression and lipid accumulation, highlighting candidate proteins involved in carbon metabolism, energy production, and cellular protection. Genes encoding selected hub protein candidates were further examined by RT-qPCR. Biochemical analyses supported these proteomic patterns, showing increased acetyl-CoA availability, enhanced antioxidant enzyme activities (SOD, CAT, APX, and GR), improved GSH/GSSG balance, and reduced oxidative damage in KS. Together, these findings provide a temporal proteomic and biochemical framework for understanding genotype-associated differences in oil accumulation and identify candidate metabolic networks for functional studies.

Carbon metabolism↗

PubMed2026

Multi-omics analysis to uncover constitutive priming and dynamic metabolic reprogramming conferring white rust resistance in Brassica juncea.

White rust, caused by Albugo candida, is one of the most devastating diseases of Indian mustard (Brassica juncea), causing yield losses of up to 90%. Durable resistance sources within cultivated Brassica germplasm remain limited. In this study, near-isogenic lines (NILs) of B. juncea cv. Varuna harbouring resistance from an East European source (Donskaja-IV, possessing a single CC-NB-LRR protein-coding R gene) was used to investigate the molecular basis of resistance through integrated transcriptomic and metabolomic analyses at 48 and 96 hours post-inoculation (hpi). Transcriptomic profiling revealed that the resistant Varuna_WRR line exhibited significantly higher unique transcript expression (18.76%) compared to the susceptible parent (8.41%) during the progression of infection. Principal component analysis showed clear separation between genotypes based on infection status, time, and genetic background. In the resistant line, upregulated genes were enriched in ethylene-activated signaling, protein phosphorylation, endoplasmic reticulum stress response, pectin biosynthesis, and hypersensitive response at 48 hpi, shifting toward programmed cell death, protein ubiquitination, abscisic acid metabolism, and starch biosynthesis at 96 hpi. Conversely, the susceptible line displayed broad downregulation of primary metabolic processes, indicating metabolic exhaustion. Metabolomic analysis demonstrated that the resistant genotype accumulated higher levels of defense-related amino acids (proline, glutamine, glutamic acid, serine, threonine, glycine), carbohydrates, organic acids, and polyamines, supporting enhanced nitrogen assimilation, energy reserves, membrane stability, and signaling. Together, these findings indicate that constitutive priming and dynamic activation of defense signaling, protein turnover, and osmoprotectant accumulation underpin the enhanced resistance in Varuna_WRR against Albugo candida. This integrated multi-omics approach provides valuable insights for breeding durable white rust resistance in Brassica juncea.

Brassica juncea↗

PubMed2025

Identification and analysis of metabolic reprogramming-related genes in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is notorious for its rapid progression, tendency to metastasize, high recurrence rates, dismal outcomes, and limited treatment options, underscoring the urgent need to uncover new biomarkers and molecular pathways to enhance diagnosis, prognosis, and therapeutic strategies. Metabolic reprogramming continues to play a role throughout the life cycle of cancer, evolving and adapting. In this study, we aimed to identify specific genes associated with metabolic reprogramming in TNBC, which can potentially become unique biomarkers of this cancer. TNBC datasets retrieved from the Gene Expression Omnibus were employed to pinpoint genes exhibiting altered expression linked to tumor metabolic reprogramming. Key genes were accurately screened through machine learning algorithms, and then externally verified using the TBNC dataset based on the Cancer Genome Atlas database. Finally, immunohistochemical methods were used to clinically confirm the differential expression and trends of these key genes. Our analysis accurately identified four genes-CLEC7A, IRS1, RSPO3, and ALB-that are closely correlated with the metabolic reprogramming characteristics of cancer, and could be regarded as innovative biomarkers for TNBC. This opens a new avenue for further investigation into the mechanisms of metabolic reprogramming in TNBC and new treatment strategies.

Humans↗

PubMed2026

AML1-ETO hijacks a distal enhancer of NAT10 to reprogram glutathione metabolism and sustain leukemia stem cell stemness.

Chromosomal translocations produce oncogenic fusion proteins such as AML1-ETO, which predominantly occupy gene promoters to induce transcriptional reprogramming in leukemia stem cells (LSCs), consequently driving the pathogenesis of t(8;21) acute myeloid leukemia (AML). However, whether AML1-ETO is recruited to additional regulatory DNA elements to orchestrate oncogenic gene expression programs has not been fully addressed. Here, we define AML1-ETO and H3K27ac CUT&Tag landscapes in primary t(8;21) AML CD34+ cells and t(8;21) AML cell lines, revealing AML1-ETO binding at a distal enhancer of the RNA N4-acetylcytidine (ac4C) writer N-acetyltransferase 10 (NAT10), thereby driving its transcriptional activation. Genetic ablation or pharmacological inhibition of NAT10 restricted the survival and self-renewal of LSCs in primary t(8;21) AML CD34+ cells, as well as in a retroviral AML1-ETO9a-driven t(8;21) AML mouse model, establishing NAT10 as a potential therapeutic vulnerability. Mechanistically, NAT10 is recruited to glutathione S-transferase omega 2 (GSTO2) mRNA to catalyze ac4C modification, thereby enhancing transcript stability and reprogramming glutathione metabolism, as demonstrated by ac4C profiling, RNA immunoprecipitation (RIP), and dCas13b-NAT10-based analyses. Silencing of GSTO2 in primary t(8;21) AML CD34+ cells decreased intracellular reduced glutathione (GSH) levels and compromised LSC survival and self-renewal, whereas GSTO2 overexpression or GSH supplementation largely rescued LSC maintenance following NAT10 loss. Collectively, these findings enrich and extend the understanding of AML1-ETO regulatory programs by linking distal enhancer activity to a NAT10-GSTO2 ac4C-GSH axis that integrates epigenomic, posttranscriptional, and metabolic reprogramming to sustain LSC stemness, highlighting this circuit as a potential therapeutic vulnerability in t(8;21) AML.

Humans↗

PubMed2026

Efferocytosis regulatory factors in atherosclerosis: A preclinical systematic review.

BACKGROUND: Impaired efferocytosis is a key driver of plaque instability during atherosclerosis progression. Efficient clearance of apoptotic cells through efferocytosis relies on the coordinated action of multiple regulatory factors. METHODS: PubMed, Web of Science, ScienceDirect, OVID MEDLINE, and Scopus were searched for studies published up to February 7, 2026. Eligible preclinical studies were systematically reviewed to identify endogenous factors that regulate efferocytosis in atherosclerosis. Clinical evidence was also incorporated to enable a preliminary translational assessment of these regulatory factors. RESULTS: Thirty-five endogenous regulatory factors were identified from 36 included studies, and their functional roles across distinct stages of efferocytosis were characterized. Notably, metabolic regulators such as PKM2, PFKFB3, GLS1, and Drp1 were involved in distinct efferocytosis stages. This suggests that metabolic reprogramming may provide the metabolic support require for efficient efferocytosis and inflammation resolution. Ten factors were supported by preliminary clinical evidence consistent with preclinical data. PKM2 was the only candidate biomarker with prospective observational data. However, its independent predictive value still requires validation in multicenter prospective studies. CONCLUSIONS: This review provides a systematic synthesis of 35 endogenous efferocytosis regulators and elucidates their regulatory network in atherosclerosis based on a functional stage framework. Metabolic reprogramming is identified as a central hub linking efferocytosis efficiency to inflammation resolution. This review offers a new theoretical basis for efferocytosis-targeted intervention strategies.

Animals↗

PubMed2026

Multimodal Analysis Reveals Aberrant Expression of SUMO2 and Its Significant Association With Key Mechanisms of Metabolic Pathways in Hepatocellular Carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. However, the role of small ubiquitin-like modifier 2 (SUMO2), a core member of the small ubiquitin-like modifier (SUMO) family, regarding its expression patterns and metabolism-related functions in HCC remains inadequately understood. METHODS: A multidimensional analytical framework was applied, integrating immunohistochemistry (153 HCC vs. 21 non-HCC samples), proteomics (159 paired samples), bulk transcriptomics (3240 HCC vs. 2267 non-HCC samples), single-cell RNA sequencing (RNA-seq) (10 HCC vs. 8 non-HCC samples), spatial transcriptomics, and external CRISPR/Cas9 functional genomics data. Systematic analyses included standardized mean difference (SMD), pathway enrichment, pseudotime trajectory inference, in silico knockout, cell-cell communication, metabolic flux scoring, immune infiltration, clinical correlation, drug sensitivity prediction, and molecular docking. RESULTS: At the protein level, immunohistochemistry (nuclear positivity) and external proteomic data collectively demonstrated consistent SUMO2 overexpression in HCC. Consistent upregulation was also observed at the mRNA level across large-scale cohorts. Single-cell RNA-seq and spatial transcriptomics localized SUMO2 enrichment to malignant hepatocytes and tumor-dominant regions. CRISPR-mediated SUMO2 knockout suppressed proliferation in multiple HCC cell lines. Mechanistically, high SUMO2 expression was significantly associated with metabolic reprogramming involving glycolysis/gluconeogenesis, pyruvate metabolism, and the tricarboxylic acid cycle. SUMO2-high malignant hepatocyte subpopulations exhibited enhanced activity of the macrophage migration inhibitory factor signaling axis and enhanced iron-sensor interactions. Further, the immune infiltration analysis revealed a negative correlation between SUMO2 expression and M1 macrophages and a positive correlation between follicular helper T cells and regulatory T cells. Clinically, elevated SUMO2 levels were found to be associated with adverse prognostic features. Furthermore, high SUMO2 expression was associated with increased sensitivity to dasatinib, and molecular docking simulations predicted potential binding between SUMO2 and dasatinib, with a Vina score of -8.5 kcal/mol. CONCLUSIONS: SUMO2 is aberrantly expressed at the protein, mRNA, single-cell, and spatial transcriptomic levels in HCC and is significantly associated with metabolic reprogramming and altered migration inhibitory factor (MIF)-mediated intercellular communication, suggesting its potential as a novel biomarker for diagnosis and treatment.

Humans↗

PubMed2026

Biocontrol efficacy of Bacillus albus SSR3 for controlling postharvest fungal pathogens and mycotoxin contamination.

Sweetpotato black rot, caused by Ceratocystis fimbriata, is a major postharvest disease that leads to substantial storage losses worldwide. In this study, a salt-tolerant rhizobacterial strain, Bacillus albus SSR3, was isolated from the rhizosphere of sweetpotato grown in saline-alkali soil, with broad-spectrum antagonistic activity against postharvest fungal pathogens. LC-MS/MS analysis revealed diverse bioactive metabolites associated with its antifungal activity. Integrated transcriptomic and metabolomic analyses showed that SSR3 bioactive metabolites extensively reprogrammed fungal metabolism, particularly pathways involved in carbohydrate and amino acid metabolism, antioxidant defense, and energy production. These alterations were accompanied by disruption of cell wall and membrane integrity, excessive reactive oxygen species accumulation, and mitochondrial dysfunction, ultimately inhibiting fungal growth. Here, we also found that SSR3 bioactive metabolites effectively inhibited aflatoxin B1 production by Aspergillus flavus and deoxynivalenol accumulation in Fusarium graminearum. In vivo assays further demonstrated that SSR3 bioactive metabolites significantly reduced sweetpotato black rot severity and effectively limited fungal colonization and mycotoxin contamination in stored agricultural commodities. Collectively, our findings demonstrate that B. albus SSR3 suppresses postharvest fungal pathogens through coordinated metabolic reprogramming, oxidative stress induction, and cellular integrity disruption, highlighting its potential as a sustainable biocontrol agent for postharvest disease management.

Bacillus albus↗

PubMed2026

Graded Mulberry Leaf Supplementation Shapes Gut Microbiota, Reprograms Intestinal Metabolism, and Maintains Intestinal Chemical-Immune Barrier Homeostasis in Amur Sturgeon: A Multi-Omics Study.

Mulberry leaf contains abundant phytochemicals with antioxidant and immunomodulatory activities. However, systematic insight into its dose-dependent regulatory effects on the intestinal health of Amur sturgeon remains limited. In the present study, multi-omics approaches, including 16S rRNA gene sequencing, untargeted metabolomics, transcriptomics, together with RT-qPCR, were applied to investigate graded dietary mulberry leaf supplementation in Acipenser schrenckii. Juvenile sturgeons were fed four experimental diets containing 0%, 2%, 4% and 6% mulberry leaf over a 10-week feeding trial. Dietary mulberry leaf caused no adverse impacts on growth performance or intestinal digestive capacity. Although the overall structure of the intestinal microbiota remained stable, beneficial bacterial taxa were enriched in a dose-dependent manner. Intestinal metabolism underwent hierarchical remodelling: low inclusion levels supported basal nutrient metabolism, medium inclusion strengthened antioxidant capacity, and high inclusion reprogrammed lipid metabolism and immune function. Mulberry leaf reinforced the intestinal chemical barrier by balancing redox homeostasis and reducing mucosal epithelial permeability. Moreover, intestinal immunity was modulated through three sequential phases: initial innate immune priming, B-cell homing, and the establishment of sustained immune tolerance. In conclusion, mulberry leaf maintains intestinal chemical-immune barrier homeostasis in a dosage-tunable manner, supporting its potential application as a functional aquafeed ingredient.

Amur sturgeon (Acipenser schrenckii)↗

PubMed2026

Crosstalk between S-nitrosylation and glycation defines a metabolic vulnerability in liver and renal cancers.

Metabolic reprogramming is a defining feature of cancer; however, how it contributes to therapeutic resistance remains incompletely understood. Here we show that loss of aldo-ketoreductase 1A1 (AKR1A1) in renal cell carcinoma (RCC) and hepatocellular carcinoma (HCC) disrupts terminal glycolytic flux and lactate production through S-nitrosylation-mediated inhibition of pyruvate kinase, resulting in the accumulation of methylglyoxal (MGO). In multiple AKR1A1-deficient models, but not in those endogenously expressing the C423/424 A mutant of pyruvate kinase M2, elevated MGO triggers autophagic degradation of Kelch-like ECH-associated protein 1, leading to Nuclear factor erythroid 2-Related Factor 2 (NRF2) activation and transcriptional reprogramming. This NRF2-driven response enhances chemoresistance and promotes tumor cell migration, two hallmarks of aggressive cancer. Therapeutically, we demonstrate that pharmacological inhibition of the glyoxalase system-the major pathway for MGO detoxification-restores drug sensitivity in patient-derived cells and xenograft models, revealing a context-dependent metabolic vulnerability in AKR1A1 loss conditions. These findings identify AKR1A1 as a metabolic tumor suppressor and uncover crosstalk between S-nitrosylation and glycation as a key regulatory axis linking metabolic reprogramming to NRF2-driven therapy resistance, offering glyoxalase inhibition as a potential precision treatment strategy for RCC and HCC.

Humans↗

PubMed2026

Machine Learning and Metabolomics to Characterize Warburg-Like Metabolic Subtypes in Human Retinal Endothelial Cells Exposed to Risk Factors Associated With Proliferative Diabetic Retinopathy.

PURPOSE: High glucose (HG), hypoxia (Hyp), and their combination are major risk factors for proliferative diabetic retinopathy (PDR). Although these conditions induce features of the Warburg-like metabolic reprogramming in human retinal endothelial cells (HRECs), it remains unclear whether they produce distinct metabolic and angiogenic subtypes. This study aimed to characterize the Warburg-like-associated metabolic heterogeneity induced by these PDR-related risk factors and evaluate the ability of supervised machine-learning models to distinguish these subtypes. METHODS: HRECs were cultured under normoglycemic, HG, Hyp (2% O2), and combined HG-Hyp conditions. Untargeted LC-MS/MS metabolomics quantified metabolites spanning carbohydrates, amino acids, nucleotides, and lipids. Principal component analysis (PCA) assessed overall metabolic variation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis identified metabolic pathways associated with angiogenesis. In vitro angiogenesis assays measured endothelial tube formation and branching. Nine supervised classifiers (decision tree, logistic regression, naïve Bayes, random forest, K-Nearest Neighbors, neural network, gradient boosting, AdaBoost, and Support Vector Machine) were trained on the highest-ranked metabolites selected by the Information Gain Ratio feature-ranking approach. Model performance was evaluated using 10-fold cross-validation, leave-one-out cross-validation (LOOCV), permutation testing, and a classifier stability analysis under biologically meaningful distributional shift using an independent chemically induced hypoxia model (CoCl2). RESULTS: PCA revealed partial separation of metabolic profiles across conditions, indicating different Warburg-like metabolic subtypes. The combined HG-Hyp condition exhibited enhanced angiogenic potential relative to either HG or Hyp alone. KEGG pathway enrichment analysis identified fatty acid biosynthesis and elongation among the most significantly enriched pathways in HRECs under combined HG-Hyp conditions, alongside amino sugar and nucleotide sugar metabolism, glycerophospholipid metabolism, the pentose phosphate pathway, and glycolysis/gluconeogenesis. Supervised machine-learning classifiers distinguished these metabolic subtypes, with AdaBoost and gradient Boosting showing the most balanced, reproducible performance across 10-fold cross-validation, LOOCV, and permutation testing, and remaining the most reliable classifiers under domain-shift testing (area under the curve = 0.88, P = 0.0061). CONCLUSIONS: In this exploratory analysis, HG, Hyp, and their combination drive metabolically and functionally distinct subtypes of Warburg-like metabolic reprogramming in HRECs, with HG-Hyp in combination producing a highly angiogenic phenotype. Boosting-based ensemble classifiers provide a promising framework for detecting these subtypes even under domain-shift conditions, warranting validation in larger independent datasets. TRANSLATIONAL RELEVANCE: Integrating metabolomics with machine-learning classification offers a strategy to identify Warburg-like metabolic subtypes in retinal endothelial cells, providing insights into angiogenic mechanisms and guiding the development of targeted diagnostics or therapeutics for PDR.

Humans↗

PubMed2026

Lipid Metabolism-related lncRNA Model Identifies AC026412.3 as a Driver of Fatty Acid β-oxidation in Hepatocellular Carcinoma.

BACKGROUND AND AIMS: Dysregulated lipid metabolism contributes to hepatocellular carcinoma (HCC) progression, but the prognostic value and mechanistic roles of lipid metabolism-related long noncoding RNAs (LRLs) remain insufficiently characterized. This study aimed to construct and validate an LRL-based prognostic model and to investigate the biological function and metabolic mechanism of AC026412.3 in HCC. METHODS: Transcriptomic and clinical data from the The Cancer Genome Atlas Liver Hepatocellular Carcinoma cohort were analyzed to identify LRLs based on their correlation with curated lipid metabolism genes. Differential expression, univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses were performed to construct a prognostic signature, which was evaluated using Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses. Functional enrichment analyses Gene Ontology [GO], Kyoto Encyclopedia of Genes and Genomes [KEGG] and gene set enrichment analysis [GSEA], mutation profiling, tumor mutational burden, immune infiltration estimation, and consensus clustering were applied to characterize associated features. A key LRL was identified through integrated bioinformatic screening and prioritization. Its biological role was assessed by quantitative reverse transcription polymerase chain reactionq (RT-PCR), western blotting, BODIPY staining, colony formation, Transwell assays, and xenograft models. RNA sequencing followed by pathway enrichment analysis was conducted to explore underlying mechanisms. RESULTS: A three-LRL signature (AL031985.3, NRAV, and AC026412.3) stratified HCC patients into distinct risk groups with significantly different survival outcomes and demonstrated independent prognostic value. AC026412.3 was markedly upregulated in HCC and associated with poor prognosis. Functional assays demonstrated that AC026412.3 promoted proliferation, invasion, and tumor growth while reducing lipid accumulation. Mechanistically, AC026412.3 upregulated solute carrier family 22 member 5 (SLC22A5), enhanced fatty acid β-oxidation, and increased adenosine triphosphate (ATP) production, thereby driving metabolic reprogramming. CONCLUSIONS: This study establishes a robust LRL-based prognostic model and identifies AC026412.3 as a key regulator of lipid metabolic reprogramming via the SLC22A5-fatty acid β-oxidation axis, highlighting its potential as a biomarker and therapeutic target in HCC.

HCC↗

PubMed2025

Natural, safety immunomodulatory derivatives of lactobacillus biofilms promote diabetic wound healing by metabolically regulating macrophage phenotype and alleviating local inflammation.

INTRODUCTION: Long-term inflammatory microenvironment further impairs the healing process of diabetic wounds. Many studies have shown that Lactobacillus can regulate immune function and promote injured tissue repair. However, the immunomodulatory function and safety of Lactobacillus biofilm (LB) on wounds need further investigation. OBJECTIVES: In this present research, we proposed a "bacteria-free biofilm derivative therapy" and successfully extracted Lactobacillus biofilm derivatives (LBDs) by ultrasonic separation and filtration technology for the natural and safe treatment of diabetic wounds. METHODS: The study first cultured Lactobacillus anaerobically and extracted LBDs using ultrasound separation combined with filtration technology. LBDs were characterized via scanning electron microscopy, Concanavalin A fluorescence staining, and protein gel electrophoresis. In vivo diabetic wound model, wound closure rates were dynamically monitored, and tissue sections were analyzed using hematoxylin-eosin and immunofluorescence staining to evaluate LBDs' healing effects. An in vitro macrophage inflammation model was established, employing immunofluorescence, flow cytometry, and Western blotting techniques to explore the molecular mechanisms underlying LBDs' effects on macrophage phenotypes. Furthermore, whole-genome sequencing and proteomics of LBDs-treated macrophages were performed to further elucidate the intrinsic molecular mechanisms through which LBDs regulate macrophage phenotypes. RESULTS: LBDs were effectively extracted utilizing ultrasonic separation coupled with filtration technology. Studies revealed that LBDs modulate the systemic metabolic reprogramming in wound-site macrophages, suppress JAK-STAT1 signaling pathway, alleviate the local inflammatory microenvironment, promote neovascularization and ultimately accelerate wound healing. CONCLUSION: The LBDs retains most bioactive components of the LB. As a natural, safe and immunomodulatory agent, LBDs promote diabetic wound healing by metabolically reprogramming macrophage phenotypes and improving the local immune microenvironment, offering promising potential for regenerative applications in diabetic wound management.

Wound Healing↗

PubMed2026

Host metadherin coordinates hepatic lipid metabolism and CD8+ T cell immunity to promote tumor progression.

Cancer progression is systemically influenced by distant organ dysfunction induced by primary tumors, yet how long-distance tumor-organ crosstalk regulates antitumor immunity remains unclear. Here, we identify host metadherin (MTDH) as a critical regulator of tumor-induced immunosuppression and metabolic reprogramming via tumor-liver interactions. Using Mtdh knockout mouse models, we show that concurrent MTDH loss in hepatocytes and CD8+ T cells enhances effector T cell function and suppresses tumor growth and metastasis. Mechanistically, tumor-derived extracellular vesicles and particles (EVPs) activate Kupffer cells to secrete tumor necrosis factor α (TNF-α) and TGF-β, which suppress hepatic PPARα-mediated lipid oxidation via nuclear factor κB (NF-κB) signaling. MTDH loss restores hepatic lipid catabolism, reduces systemic lipid levels, and promotes mitochondrial metabolic reprogramming in CD8+ T cells under lipid-reduced conditions, thereby boosting antitumor immunity. Genetic or pharmacological targeting of MTDH synergizes with anti-PD-1 therapy. These findings establish host MTDH as a key mediator of tumor-liver crosstalk through metabolic and immune interactions, driving systemic cancer progression.

CD8(+) T cells↗

PubMed2025

Integrative multi-omics analysis proposes a metabolic classification of gliomas: distinct metabolic states, immune infiltration, and prognosis.

BACKGROUND: The tumor microenvironment (TME) of glioma harbors diverse cell types; however, cell metabolic heterogeneity remains to be explored. This study aims to characterize the metabolic features of different cell types in the TME by integrating multiple datasets, including genomics, bulk and single-cell transcriptomics, and metabolomics. METHODS: Unsupervised machine learning was used to construct an energy metabolic classifier based on the metabolic pathways identified from bulk RNA-seq of gliomas in the TCGA dataset. The classifier was externally validated using multiple datasets, including genomics, bulk RNA-seq, snRNA-seq, and the metabolomics data. Furthermore, metabolic heterogeneity associated with the classifier was further characterized at single-cell resolution. RESULTS: The energy metabolism-based classifier stratified patients into two prognostic clusters: patients in cluster 1 were characterized by high pathway activity of glycolysis, the pentose phosphate pathway (PPP), and fatty acid oxidation (FAO), whereas patients in cluster 2 exhibited higher activity in glutaminolysis. This metabolic classifier revealed both intratumoral and intertumoral metabolic heterogeneity, and the complexity was further validated by the metabolomics profiling and snRNA-seq data from the CPTAC dataset. Notably, OSMR, highly expressed in cluster 1, showed significant co-expression with key glycolytic enzyme genes. The OSM/OSMR/JAK1/STAT3 axis potently drives malignant progression of glioma cells, specially enhancing their invasive and migratory capabilities. Single-cell resolution analyses demonstrated that tumor metabolic heterogeneity is primarily driven by malignant cells rather than non-malignant components, while tumor microenvironment (TME) factors were also found to modulate malignant cell metabolism. Significantly, glycolytic activity in glioma cells increased during the phenotypic transition from PN (proneural) to MES (mesenchymal), with cluster 1 metabolic phenotypes predominating in the tumor core. Compared to cluster 2, cluster 1 patients exhibited higher mRNA expression of immunosuppressive checkpoint genes, which correlated with pronounced immunosuppression in the TME. Furthermore, various immune cells demonstrated distinct metabolic preferences at single-cell resolution. CONCLUSIONS: This study developed an energy metabolic-based classifier for gliomas with prognostic and therapeutic potential. Metabolic reprogramming was linked with the PN-to-MES transition of glioma cells and immunosuppression in the tumor microenvironment. Multi-omics data, especially snRNA-seq, offered insights into metabolism heterogeneity at single-cell resolution, enabling personalized treatment strategies.

Humans↗

PubMed2026

NFS1 activates PI3K/AKT/mTOR signaling to upregulate GPX4 expression and enhance ferroptosis resistance in osteosarcoma.

Osteosarcoma continues to exhibit poor survival outcomes due to chemoresistance and metastasis, with metabolic reprogramming and ferroptosis resistance being key features of tumor heterogeneity, yet their upstream regulators remain poorly defined. NFS1, a cysteine desulfurase essential for iron-sulfur cluster biogenesis, protects multiple cancers from ferroptosis, but its role in osteosarcoma is unknown. In this study, we performed a transcriptomic meta-analysis and found that NFS1 expression was significantly upregulated in osteosarcoma tissues, with further elevation in metastatic lesions, and high NFS1 expression correlated with poor overall survival. Genome‑wide CRISPR screening data revealed a marked NFS1 dependency in osteosarcoma cell lines. Functionally, NFS1 promoted cell proliferation, migration, and invasion, whereas its knockdown suppressed these phenotypes. Using single‑cell RNA sequencing data from 27 osteosarcoma specimens, we applied a multi‑algorithm glycolytic scoring framework and observed NFS1 enrichment in highly glycolytic malignant cells, along with an association with PI3K/AKT/mTOR pathway activation. Mechanistically, NFS1 selectively enhanced PI3K, AKT, and mTOR phosphorylation without altering total protein levels, and upregulated GPX4, a central ferroptosis suppressor, leading to elevated ferroptosis resistance scores in NFS1‑high malignant cells. Collectively, these findings identify a previously unrecognized NFS1-PI3K/AKT/mTOR-GPX4 regulatory axis in osteosarcoma, linking metabolic reprogramming to ferroptosis resistance, and suggest that NFS1 functions as an oncogenic driver, as well as a promising prognostic biomarker and therapeutic target in osteosarcoma.

Humans↗

PubMed2026

Metagenome-resolved evidence that soluble factors in granular activated carbon-amended reactor effluent reprogram propionate metabolism and methanogenic pathways.

Granular activated carbon (GAC) enhances anaerobic digestion performance, yet the mechanisms underlying reactor-scale improvements remain incompletely understood, particularly how GAC affects biomass not attached to its surface. Here, sludge from a non-GAC up-flow anaerobic sludge blanket reactor was incubated with 0.45-μm-filtered effluents from non-GAC and GAC-amended reactors under repeated propionate loading, followed by genome-resolved metagenomics. GAC-reactor effluent increased methane yield from 64 ± 3% to 76 ± 3% (p < 0.01) in the absence of GAC particles. A non-redundant catalog of 170 quality-filtered metagenome-assembled genomes (MAGs) was recovered, enabling pathway- and gene-set quantification. Genomic potential for both major propionate-oxidation routes increased in the GAC-effluent group relative to the non-GAC group, with a larger increase for the methylmalonyl-CoA (MMC) route than for the dismutation route (1.289- versus 1.221-fold). Accordingly, the MMC-to-dismutation preference ratio was 5.60% higher in the GAC-effluent group, alongside a broader carrier base. Cobamide potential shifted toward remodeling and cobamide-dependent use rather than increased de novo corrin-ring synthesis. Candidate electron-transfer architectures were also rebalanced: PilA-associated carriers became less prominent, whereas maturation-supported multiheme cytochrome carriers increased from 22.96% to 34.90% of community abundance, although H2/formate-module carriers remained prevalent. Quorum-sensing systems underwent pathway- and carrier-specific redistribution, while all eight curated extracellular-polysaccharide modules showed higher mean gene abundance in the GAC-effluent composite. These findings show that a filter-passing effluent fraction can extend GAC-associated effects beyond direct particle contact and link enhanced methanogenesis to a broader, redistributed network of metabolic, redox, and coordination capacities. This expands the mechanistic framework of conductive-material-assisted anaerobic digestion and provides a basis for harnessing GAC-derived functions throughout the reactor.

Extracellular polymeric substances (EPS)↗

PubMed2026

Feeding the epigenome: EZH2 as a metabolic integrator of cell fate in development and cancer.

Epigenetic regulation is intimately linked to cellular metabolism, enabling environmental and nutritional cues to shape gene expression programs through dynamic modifications of chromatin structure. This metabolism-epigenetics interface is mediated, in part, by the dependence of chromatin-modifying enzymes on key metabolites, including S-adenosylmethionine (SAM), acetyl-CoA, UDP-GlcNAc, and α-ketoglutarate, which serve as substrates or cofactors for DNA and histone modifications. Among these regulators, EZH2, the catalytic subunit of Polycomb Repressive Complex 2 (PRC2), has emerged as a key mediator linking metabolic state to epigenetic regulation by translating metabolic inputs into changes in chromatin architecture and gene expression. EZH2 governs developmental cell fate through H3K27me3-mediated gene repression and is frequently dysregulated in cancer, where it promotes dedifferentiation, tumor progression, and metabolic reprogramming. Importantly, EZH2 activity is itself modulated by cellular metabolic status through posttranslational modifications, including phosphorylation, acetylation, methylation, ubiquitination, and O-GlcNAcylation, which influence its stability, catalytic activity, and chromatin-binding capacity. These modifications are responsive to nutrient availability and signaling pathways involving glucose, SAM, NAD+, and other metabolic intermediates. Consequently, disruption of this finely tuned regulatory network can contribute to developmental abnormalities, metabolic dysfunction, and oncogenesis. In this review, we examine the molecular mechanisms governing EZH2 regulation and discuss how metabolic control of EZH2 shapes chromatin dynamics, cell fate decisions, and disease pathogenesis. Elucidating how metabolic signals modulate EZH2 activity will advance our understanding of development and disease while uncovering potential therapeutic opportunities to target metabolism-driven epigenetic dysregulation.

Humans↗