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Results for “Metabolic heterogeneity”

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At least 19 recordsLinked to original sources
PubMed1978

Changes in the structural and metabolic heterogeneity of phosphatidylcholines in the developing rat lung.

In the present study the developmental profiles of the structural and metabolic heterogeneity of rat lung phosphatidylcholine are presented. The individual molecular species of phosphatidylcholine at different stages of the developing rat lung were analyzed as diacylglycerol derivatives. The metabolic heterogeneity of rat lung phosphatidylcholine was also studied by incubation using lung slices with radioactive precursors. The results obtained were as follows: 1. A significant increase of lung phosphatidylcholine during perinatal development (up to 1 day after birth) was found to be largely due to the increase of dipalmitoyl species. The percentage of palmitoyl-palmitoleoyl species also increased from --4 to --1 day of gestation, while palmitoyl-oleoyl species were found to decrease during development. Other molecular species showed no significant changes. 2. The incorporation of [1-14C]palmitoyl lysophosphatidylcholine into saturated phosphatidylcholine was relatively low at the earlier stage of fetal development, but it increased significantly in the last stage and reached its maximum at one day prior to birth and one day prior to the marked accumulation of dipalmitoylphosphatidylcholine occurring in the lung. In contrast, the incorporation of [3H]glycerol into saturated phosphatidylcholine remained, without showing a marked alteration during development. These results suggest that the lysophosphatidylcholine pathway which is mainly attributed to transacylation mechanism between 2 molecules of lysophosphatidylcholine may contribute to the marked production of dipalmitoylphosphatidylcholine in the lung in the last stage of gestation.

Aging↗
PubMed1979

Metabolic heterogeneity of muscle fibers classified by myosin ATPase.

Muscle fibers are commonly classified histochemically into three types by the staining intensity for myosin ATPase combined with those for metabolic enzymes. Preincubation at pH 4.6 gives rise to three staining intensities of myosin ATPase which are also used for fiber typing. The two classification systems were compared by computer analysis of the individual staining profiles of over 2,500 fibers, and found not to be equivalent. The analysis showed metabolic heterogeneity among the fiber groups distinguished according to their differences in myosin ATPase.

Adenosine Triphosphatases↗
PubMed1976

[On the metabolic heterogenity of the cartilage tissue (author's transl)].

Autoradiografic studies with 3H-thymidine, 3H-proline and 35S-sulfate in different cartilage tissues from rabbits and rats (articular and epiphyseal cartilage of the knee; costal, xiphoid and tracheal cartilage) were performed. The following results were obtained: The proliferative zone of the epiphyseal plate of young and adult animals is limited to the superior part of the columnar cartilage. The articular cartilage shows no proliferative zones but single S-phase-nuclei in all layers seldom were found. In the adult animals a decrease of DNA-synthetising chondrocytes in all investigated cartilage tissues and a narrowing of the proliferative zone could be detected. 3H-proline and 35S-sulfate in proliferating chondrocytes of the bone cartilage border line and in chondrocytes of the subperichondrial area increasingly were incorporated. Possible causes of the regional differences in the uptake of the used precursors were discussed and the significance of the metabolic heterogenity of the cartilage tissue for aging and pathological processes was pointed to.

Aging↗
PubMed1977

Metabolic heterogeneity of nuclear poly (A)-containing RNA in mouse liver.

The analysis by the approach to equilibrium labeling method has shown that the poly(A)+ fraction of liver hnRNA is not a uniform class of molecules, but is comprised of two distinct subclasses with half-lives of 5 and 60 min, while the poly(A)- hnRNA was metabolically homogeneous and turned over with a rather uniform half-life of 30 min. The results suggest that (a) poly(A) synthesis and addition is not limiting for the rate of hnRNA processing, and (b) there is a correlation between the kinetics of mRNA appearance in the cytoplasm and kinetic behavior of their possible nuclear precursors.

Animals↗
PubMed1976

The metabolic heterogeneity of glycosaminoglycans of the different zones of the epiphyseal growth plate and the effect of ethane-1-hydroxy-1, 1-diphosphonate (EHDP) upon glycosaminoglycan synthesis in vivo.

The synthesis of total and unextractable glycosaminoglycans of rabbit epiphyseal growth plate was studied by determination of the incorporation in vivo of 35S-sulphate into various glycosaminoglycans separated by microfractionation procedures using CPC and ECTEOLA columns. In the narrow hypertrophic zone, hyaluronic acid and chondroitin sulphate of low molecular weight were found to be unextractable with 3M guanidinium chloride for 24 h, thus being firmly bound within the tissue. While the unextractable chondroitin sulphate showed a sharply reduced synthesis rate in the hypertrophic zone compared with that in the columnar and resting zones, a rapid increase in the synthesis of extractable chondroitin sulphate toward the calcification front is indicated. At microfractionation, solubility profiles indicated that the unextractable chondroitin sulphate was of predominantly lower molecular weight and/or charge density compared to that of the whole tissue, most evident in the hypertrophic zone. The distribution pattern of incorporated 35S showed a close correspondence to the distribution of the various chondroitin sulphate fractions both for extracted and unextracted tissue. In the hypertrophic zone, higher radioactivity was found for chondroitin sulphate of predominantly low molecular weight and/or charge density in extracted compared to unextracted tissue. Low doses of EHDP caused no change of distribution of the various glycosaminoglycans but generally inhibited their synthesis.

Animals↗
PubMed1977

Molecular and metabolic heterogeneity of liver glycogen.

On refeeding after starvation, the resynthesis of rabbit-liver glycogen proceeds inhomogeneously and over-produces material of low molecular weight. The fate of radioactivity incorporated into glycogen from D-glucose-14C can be explained if glycogen of high molecular weight is synthesised on a protein backbone. Confirmation of this view is given by the effect upon glycogen of reagents that break disulphide bonds; these cause loss of the polysaccharide of high molecular weight. Buoyant densities of glycogens are found to be independent of molecular weight and even of extensive degradation. It is concluded that glycogen synthesis proceeds by two routes; one results in the production of polysaccharide of high molecular weight which has a protein backbone capable of forming disulphide bonds, and another results in the production of polysaccharide of low molecular weight which has either no protein backbone or a protein backbone that is incapable of forming disulphide bridges. Apart from size, the two species are physicochemically indistinguishable.

Animals↗
PubMed1978

Metabolic heterogeneity in the formation of low density lipoprotein from very low density lipoprotein in the rat: evidence for the independent production of a low density lipoprotein subfraction.

The formation of low density lipoprotein (LDL) from very low density lipoprotein (VLDL) was studied after injecting 14C-radiomethylated or 125I-radioiodinated VLDL into rats. VLDL and LDL B apoprotein specific radioactivity time curves were obtained after tetramethylurea extraction of the lipoproteins. In all experiments, the specific activity of LDL B apoprotein did not intercept the VLDL curve at maximal heights, suggesting that not all LDL B apoprotein is derived from VLDL B apoprotein. Further subfractionation of LDL into the Sf 12-20, 5-12, and 0-5 ranges showed that most (65%) LDL B apoprotein was present in the Sf 0-5 fraction and that only a small proportion (6-15%) of this fraction was derived from VLDL. However, the curves obtained for the Sf 12-20 and 5-12 subfractions were consistent with a precursor-product relationship in which all of these fractions were derived entirely from VLDL catabolism. These results contrasted strikingly with similar data obtained for normal humans in which all LDL is derived from VLDL. In the rat, it appears that most of the B apoprotein in the Sf 0-5 range, which contains 65% of the total LDL B apoprotein, enters the plasma independently of VLDL secretion.

Animals↗
PubMed1977

[Relationship between the mosaicism of myocardial damage and the metabolic heterogeneity of myocardiocytes].

Uridine-3H (2 muCi/g of body weight) was injected intraperitoneally to albino mice; this was followed (in one hour) by isopropylnoradrenaline (0.1 mg/g of body weight). The animals were sacrified in 10 minutes. Autoradiographic analysis and polarisation-microscopic study of the myocardial section showed that myokardiocytes with a lower level of the RNA synthesis were to the contracture lesions.

Animals↗
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

Metabolomics in breast cancer: insights into treatment responses, disease progression, and prognostic assessment.

BACKGROUND: Alterations in metabolic pathways are a hallmark of cancer and play a pivotal role in breast cancer development and progression. The inherent metabolic heterogeneity of breast cancer contributes to differences in therapeutic response and patients' prognosis. Clinical metabolomics has emerged as a promising approach for identifying metabolic biomarkers that reflect tumor biology, treatment-related changes after diagnosis, and patients' outcomes. AIMS OF REVIEW: This review summarizes the metabolomic profiles of breast cancer patients, using various biological materials and analytical methods, to assess their potential role as biomarkers for monitoring therapeutic response, adverse treatment effects, tracking disease progression, and predicting prognosis. KEY SCIENTIFIC CONCEPT OF REVIEW: Metabolomic shifts generate unique signatures with promising potential as biomarkers for evaluating treatment response, monitoring therapeutic adverse effects, disease progression, and predicting clinical outcomes in breast cancer patients. Biological matrices, such as serum, plasma, and tumor tissue, were commonly used in both untargeted and targeted metabolomics approaches. Liquid chromatography-mass spectrometry is the most commonly used analytical method in clinical metabolomics studies. Altered metabolites were identified and linked to metabolic pathways, particularly amino acids, glucose, and fatty acids metabolism. When integrated with genomic and transcriptomic data, these metabolic fingerprints offer a multidimensional perspective on disease trajectory, thereby enhancing patient stratification and informing personalized therapeutic strategies.

Humans↗
PubMed2026

Lysyl oxidase inhibition disrupts mitochondrial homeostasis to create vulnerability to ferroptosis in TNBC.

High metabolic heterogeneity and plasticity of triple-negative breast cancer (TNBC) contribute to therapy resistance, necessitating identification of therapeutic vulnerabilities. Here, we identify non-canonical functions of the extracellular matrix (ECM) remodeler, lysyl oxidase (LOX), in regulating glucose metabolism and mitochondrial homeostasis and show that inhibiting LOX generates targetable vulnerability to ferroptosis. Mechanistically, LOX interacts with PARKIN and its upstream kinase PINK1, which we identified as a substrate of LOX. LOX-mediated PINK1 oxidation suppresses PARKIN phosphorylation, stabilizing hypoxia-inducible factor 1-alpha (HIF-1α) and increasing glycolysis. Concomitantly, LOX inhibits PARKIN-mediated mitophagy and maintains mitochondria-ER contacts through VDAC1 stabilization, while the LOX-HSP90 complex promotes mitochondrial Ca2+ transport and ATP production. Inhibiting LOX suppresses glycolysis, disrupts mitochondrial dynamics, reduces OXPHOS and GPX4/FSP1, and induces compensatory DHODH activity. Our "one-two punch" approach combining LOX inhibition with clinical DHODH inhibitor suppresses tumor growth in vivo in chemo-free setting. Notably, LOX protein correlates with HIF-1α/GLUT1/GPX4 in TNBC patient tumors, supporting its clinical relevance.

Ferroptosis↗
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

Adaptive and degenerative mitochondrial remodeling define distinct redox states in age-related macular degeneration.

Age-related macular degeneration (AMD) is associated with mitochondrial dysfunction and oxidative stress, yet the relationship between mitochondrial remodeling, redox homeostasis, and disease progression remains poorly understood. Nonhuman primates (NHPs) develop spontaneous AMD-related phenotypes, including punctate deposits and soft drusen, providing a unique animal model to investigate mitochondrial pathology in the aging retinal pigment epithelium (RPE). We integrated quantitative mitochondrial ultrastructural profiling with flavoprotein fluorescence imaging, plasma metabolomics, and whole-exome sequencing to characterize mitochondrial and redox alterations in aged rhesus macaques with AMD-related lesions. Flavoprotein fluorescence imaging demonstrated increased metabolic heterogeneity in eyes with soft drusen, consistent with altered mitochondrial redox states and oxidative stress. Morphometric analysis identified distinct mitochondrial remodeling patterns across phenotypes. Normal aging was characterized by concentric cristae and type I paracrystalline inclusions. Eyes with punctate deposits exhibited increased mitochondrial fusion-associated morphology, hyperbranching, and type I paracrystalline inclusions, consistent with a stress-responsive mitochondrial remodeling pattern. In contrast, eyes with soft drusen exhibited reduced fusion-associated morphology, reduced structural complexity, and ultrastructural features consistent with mitochondrial deterioration. These ultrastructural patterns were accompanied by distinct plasma metabolomic signatures. Punctate deposits were associated with altered glycolytic, tricarboxylic acid cycle, and redox-buffering metabolites, consistent with differences in stress-responsive metabolism, whereas soft drusen exhibited metabolomic signatures consistent with altered redox homeostasis. Whole-exome sequencing identified a mitochondrial DNA variant, MT:9582G > A, in cytochrome c oxidase subunit III (COX3) associated with the drusen phenotype. Collectively, these findings identify distinct mitochondrial remodeling patterns associated with AMD-related phenotypes in aged rhesus macaques. The convergence of ultrastructural, imaging, metabolomic, and genetic analyses suggests that punctate deposits and soft drusen are associated with different mitochondrial and redox-related responses to chronic retinal stress. These findings provide a framework for future studies investigating mitochondrial biology and redox-driven mechanisms in AMD.

Animals↗