Hepatic malonyl-CoA synthesis restrains gluconeogenesis by suppressing fat oxidation, pyruvate carboxylation, and amino acid availability

Recirculating aquaculture-fasting strategy (RASF) to modulate gut microbiota and enhance the fish meat quality of bighead carp (Aristichthys nobilis)

Intensive aquaculture often leads to a decline in fish quality, and requires a strategy to restore the post-culture quality of fish. This study presents a novel recirculating aquaculture-fasting strategy (RASF) and assesses its impact on meat quality and gut microbiota of bighead carp. Results revealed RAS-F notably reduced body lipid and protein, achieving weight loss and body reshaping. RAS-F decreased the hardness, increased the springiness, and effectively improved the texture. Off-flavor compounds, especially aldehydes and ketones, were diminished, while umami amino acids (UAA) increased significantly. Noticeably, fatty acid profiles shifted, with reduced saturated fatty acids (SFA) and significantly increased polyunsaturated fatty acid (PUFA). Gut microbiota diversity and richness improved over fasting, with key microorganisms (Cetobacterium, Bacteroides, Akkermansia) contributing to PUFA and UAA synthesis as well as the off-flavor compounds degradation. These findings highlight the potential of RAS-F to enhance fish quality and reveal microbial mechanisms, offering insights for post-culture improvement.

Acetyl-CoA carboxylase activation disrupts iron homeostasis to drive ferroptosis

Acetyl-CoA carboxylase (ACC) is a rate-limiting enzyme in de novo lipogenesis. Here, we show a unique function of ACC in disrupting cellular iron homeostasis to drive ferroptosis, an iron-dependent, lipid peroxidation-induced form of cell death. We observed neuronal lipid accumulation and elevated labile iron pool associated with ACC dephosphorylation in mouse models of obstructive sleep apnea (OSA), a highly prevalent neurodegenerative disorder. ACC gene (Acaca) knockout (KO) or inhibition of its enzymatic activity rescued cellular iron metabolism through restoring lysosomal integrity and function, suppressing neuronal ferroptosis. ACC inactivation-driven lysosomal iron homeostasis requires the NFE2L2/NRF2-TFEB axis. Empagliflozin mitigates cellular iron overload via the ACC-NRF2-TFEB-lysosome pathway to alleviate neuronal ferroptosis, cognitive impairment, and mood dysfunction in OSA mice. Furthermore, inhibiting neuronal ACC reduces microglial activation, characterized by elevated complement proteins and pro-inflammatory cytokines, while microglia-specific C1qa KO prevents neuronal injury in OSA mice. Our findings identify a unique coupling between iron homeostasis and lipogenic signaling, suggesting ACC as a potential therapeutic target for neuronal ferroptosis and the resultant microgliosis in neurodegenerative diseases.

Mechanisms of action of Fucus vesiculosus-derived fucoidan on improving dyslipidemia in New Zealand rabbits fed a high-fat diet

Dyslipidemia is a major contributor to various diseases, including atherosclerotic cardiovascular disease and obesity. Treatment strategies for dyslipidemia continue to evolve as our understanding of this metabolic disorder and potential therapeutic candidates advance. Notably, fucoidan demonstrates promising effects in ameliorating dyslipidemia in rodents, although their lipid metabolism differs significantly from humans. This study, investigates the lipid-regulatory effects of Fucus vesiculosus-derived fucoidan (FvF) and elucidates the underlying mechanisms of action using New Zealand rabbits fed a high-fat diet, whose lipid profiles closely resemble those of patients with dyslipidemia. The results demonstrate that FvF intervention ameliorates dyslipidemia and lipid deposition in a dose-dependent manner. Mechanistically, FvF intervention modulates the expression levels of multiple molecules involved in lipid transport, fatty acid synthesis and beta-oxidation, and redox balance, as revealed by quantitative reverse transcription polymerase chain reaction, western blotting, and proteomic analysis. This study is the first to report that FvF, consisting of alternating [→4)-α-L-Fucp(1 → 3)-α-L-Fucp(1→] glycosyls ameliorates dyslipidemia by directly modulating lipid metabolism and indirectly attenuating oxidative stress. These findings suggest that FvF holds significant potential as a candidate for the treatment of lipid disorder-related diseases.

Uncovering mechanisms of thiazolidinediones on osteogenesis and adipogenesis using spatial fluxomics

OBJECTIVE

Insulin-sensitizing drugs, despite their broad use against type 2 diabetes, can adversely affect bone health, and the mechanisms underlying these side effects remain largely unclear. Here, we investigated the different metabolic effects of a series of thiazolidinediones, including rosiglitazone, pioglitazone, and the second-generation compound MSDC-0602K, on human mesenchymal stem cells (MSCs).

METHODS

We developed 13C subcellular metabolomic tracer analysis measuring separate mitochondrial and cytosolic metabolite pools, lipidomic network-based isotopologue models, and bioorthogonal click chemistry, to demonstrate that MSDC-0602K differentially affected bone marrow-derived MSCs (BM-MSCs) and adipose tissue-derived MSCs (AT-MSCs). In BM-MSCs, MSDC-0602K promoted osteoblastic differentiation and suppressed adipogenesis. This effect was clearly distinct from that of the earlier drugs and that on AT-MSCs.

RESULTS

Fluxomic data reveal unexpected differences between this drug's effect on MSCs and provide mechanistic insight into the pharmacologic inhibition of mitochondrial pyruvate carrier 1 (MPC). Our study demonstrates that MSDC-0602K retains the capacity to inhibit MPC, akin to rosiglitazone but unlike pioglitazone, enabling the utilization of alternative metabolic pathways. Notably, MSDC-0602K exhibits a limited lipogenic potential compared to both rosiglitazone and pioglitazone, each of which employs a distinct lipogenic strategy.

CONCLUSIONS

These findings indicate that the new-generation drugs do not compromise bone structure, offering a safer alternative for treating insulin resistance. Moreover, these results highlight the ability of cell compartment-specific metabolite labeling by click reactions and tracer metabolomics analysis of complex lipids to discover molecular mechanisms within the intersection of carbohydrate and lipid metabolism.

Metabolic reprogramming of interleukin-17-producing γδ T cells promotes ACC1-mediated de novo lipogenesis under psoriatic conditions

Metabolic reprogramming determines γδ T cell fate during thymic development; however, the metabolic requirements of interleukin (IL)-17A-producing γδ T cells (γδT17 cells) under psoriatic conditions are unclear. Combining high-throughput techniques, including RNA sequencing, SCENITH, proteomics and stable isotope tracing, we demonstrated that psoriatic inflammation caused γδT17 cells to switch toward aerobic glycolysis. Under psoriatic conditions, γδT17 cells upregulated ATP-citrate synthase to convert citrate to acetyl-CoA, linking carbohydrate metabolism and fatty acid synthesis (FAS). Accordingly, we used a pharmacological inhibitor, Soraphen A, which blocks acetyl-CoA carboxylase (ACC), to impair FAS in γδT17 cells, reducing their intracellular lipid stores and ability to produce IL-17A under psoriatic conditions in vitro. We pinpointed the pathogenic role of ACC1 in γδT17 cells in vivo by genetic ablation, ameliorating inflammation in a psoriatic mouse model. Furthermore, ACC inhibition limited human IL-17A-producing γδT17 cells. Targeting ACC1 to attenuate pathogenic γδT17 cell function has important implications for psoriasis management.

Enhanced bioactivity of honeysuckle-Cassia seeds extracts through Lactobacillus acidophilus and Bacillus subtilis co-fermentation: Impact on alcoholic liver disease and gut microbiota

This study investigated the hepatoprotective potential of Honeysuckle-Cassia seeds extracts co-fermented with Lactobacillus acidophilus and Bacillus subtilis against alcoholic liver disease (ALD) and gut microbiota dysbiosis. Through network pharmacology analysis, 209 overlapping targets between Honeysuckle-Cassia seeds bioactive components and ALD-related targets were identified, with 39 core targets subsequently determined. Comparative analysis of aqueous extract (AE), Lactobacillus acidophilus fermentation broth (LAF), and mixed bacteria fermentation broth (MBF) revealed that MBF significantly enhanced the content of bioactive compounds: total polysaccharides (72.6 ± 3.8 mg/g), flavonoids (34.7 ± 2.5 mg/g), and saponins (15.2 ± 1.1 mg/g), representing 275 %, 72 %, and 62 % increases over AE, respectively (p < 0.05). In a murine ALD model, MBF intervention (12.5 mL/kg, 30 days) significantly reduced serum markers of liver injury (ALT: 35 %, AST: 28 %, TC: 42 %, TG: 39 %; (p < 0.05) and hepatic oxidative stress (MDA ↓52 %, GSH ↑156.55 %, SOD ↑76.71 %). Mechanistically, MBF suppressed pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) by 40-50 % while elevating anti-inflammatory mediators (IL-4, IL-10, PGE2) 1.6-2.0-fold via AMPK/ACC/SREBP1c signaling modulation. Gut microbiota analysis revealed that MBF restored α-diversity indices (Shannon ↑10.06 %, ACE ↑32.34 %) and reversed alcohol-induced dysbiosis by enriching Lachnospiraceae and Blautia while suppressing Alloprevotella. Structural degradation of plant residues (SEM) confirmed microbial synergy in releasing insoluble-bound phytochemicals (100-400 m/z range). These findings validate co-fermentation as a potent strategy to amplify the hepatoprotective and microbiota-modulating activities of traditional herbs, offering a scientific foundation for developing functional foods against ALD.

Post-translational acylation of proteins in cardiac hypertrophy

Acylations are post-translational modifications in which functional groups are attached to amino acids on proteins. Most acylations (acetylation, butyrylation, crotonylation, lactylation, malonylation, propionylation and succinylation) involve lysine but cysteine (palmitoylation) and glycine (myristoylation) residues can also be altered. Acylations have important roles in physiological and pathophysiological processes, including cardiac hypertrophy and related cardiovascular diseases. These post-translational modifications influence chromatin architecture, transcriptional regulation and metabolic pathways, thereby affecting cardiomyocyte function and pathology. The dynamic interaction between these acylations and their regulatory enzymes, such as histone acetyltransferases, histone deacetylases and sirtuins, underscores the complexity of cellular homeostasis and pathological processes. Emerging evidence highlights the therapeutic potential of targeting acylations to modulate enzyme activity and metabolite levels, offering promising avenues for novel treatments. In this Review, we explore the diverse mechanisms through which acylations contribute to cardiac hypertrophy, highlighting the complexity and potential therapeutic targets in this regulatory network.

Spatial regulation of glucose and lipid metabolism by hepatic insulin signaling

Hepatic insulin sensitivity is critical for systemic glucose and lipid homeostasis. The liver is spatially organized into zones in which hepatocytes express distinct metabolic enzymes; however, the functional significance of this zonation to metabolic dysregulation caused by insulin resistance is undetermined. Here, we used CreER mice to selectively disrupt insulin signaling in periportal (PP) and pericentral (PC) hepatocytes. PP-insulin resistance has been suggested to drive combined hyperglycemia and excess lipogenesis in individuals with type 2 diabetes. However, PP-insulin resistance in mice impaired lipogenesis and suppressed high-fat diet (HFD)-induced hepatosteatosis, despite elevated gluconeogenesis and insulin. In contrast, PC-insulin resistance reduced HFD-induced PC steatosis while preserving normal glucose homeostasis, in part by shifting glycolytic metabolism from the liver to the muscle. These results demonstrate distinct roles of insulin in PP versus PC hepatocytes and suggest that PC-insulin resistance might be therapeutically useful to combat hepatosteatosis without compromising glucose homeostasis.

FTZ alleviates lipid deposition in diabetic kidney disease by AMPK/ACC/SREBP signaling pathway

Fufang Zhenzhu Tiaozhi capsule (FTZ) is a patented traditional Chinese medicine preparation that has been used clinically for nearly 10 years to treat hyperglycemia, hyperlipidemia, and other glucolipid metabolic diseases. Previous studies have shown that FTZ can improve diabetic kidney disease (DKD). However, the role and mechanism of FTZ in reducing renal lipid accumulation in DKD remain unclear. Phosphorylation of Adenosine 5'-Monophosphate-Activated Protein Kinase (AMPK), a key regulator of energy homeostasis, inhibits Acetyl-CoA Carboxylase (ACC) signaling, thereby reducing fatty acid synthesis and promoting fatty acid oxidation via carnitine palmitoyltransferase-1 (CPT-1). Sterol regulatory element-binding protein 1 (SREBP-1), a transcription factor, regulates lipid metabolism through fatty acid synthesis. This study investigated the anti-lipid accumulation effect and mechanism of FTZ in vitro and in vivo. Streptozotocin (40 mg/kg/d, i.p. for 5 days, consecutively) combined with a high-fat diet (HFD) were used to induce a DKD model in C57BL/6J mice, followed by FTZ (1, 2 g/kg/d, i.g.) or Losartan (30 mg/kg/d, i.g.) treatments for 12 weeks. High glucose (HG, 30 mM) combined with palmitic-acid (PA, 250 µM) were used to induce HK-2 cells injury, followed by FTZ (25, 50, or 100 µg/ml) or Compound C (an AMPK inhibitor, 10 µM) treatments for 24 h. Results showed that FTZ reduced blood lipids and improved renal function in DKD mice. In addition, compared with the control group, DKD mice and cells exhibited significantly increased lipid deposition. However, the effect of FTZ in alleviating lipid accumulation was reversed by Compound C. Furthermore, FTZ increased p-AMPK, p-ACC and CPT-1 protein expression while decreasing SREBP-1. These results indicate that FTZ effectively protects against lipid accumulation in DKD by regulating the AMPK/ACC/SREBP pathway, inhibiting de novo lipogenesis, providing a novel therapeutic strategy for DKD.

Targeting lipid metabolism in regulatory T cells for enhancing cancer immunotherapy

As immunosuppressive cells, Regulatory T cells (Tregs) exert their influence on tumor immune escape within the tumor microenvironment (TME) by effectively suppressing the activity of other immune cells, thereby significantly impeding the anti-tumor immune response. In recent years, the metabolic characteristics of Tregs have become a focus of research, especially the important role of lipid metabolism in maintaining the function of Tregs. Consequently, targeted interventions aimed at modulating lipid metabolism in Tregs have been recognized as an innovative and promising approach to enhance the effectiveness of tumor immunotherapy. This review presents a comprehensive overview of the pivotal role of lipid metabolism in regulating the function of Tregs, with a specific focus on targeting Tregs lipid metabolism as an innovative approach to augment anti-tumor immune responses. Furthermore, we discuss potential opportunities and challenges associated with this strategy, aiming to provide novel insights for enhancing the efficacy of cancer immunotherapy.

Bioinformatic analysis of glycolysis and lactate metabolism genes in head and neck squamous cell carcinoma

Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous cancer with significant global incidence. This study investigates glycolysis- and lactate metabolism-related genes (GALMRGs) in HNSCC, focusing on their impact on prognosis, the tumor immune microenvironment, and their potential as therapeutic biomarkers. Analysis of data from the Cancer Genome Atlas and Gene Expression Omnibus identified 16 GALMRGs that were differentially expressed in HNSCC compared to normal tissues. Functional analysis revealed the involvement of lactate and pyruvate metabolism and HIF-1 signaling pathways. Weighted gene co-expression network analysis identified two module genes, CDKN3 and SLC2A1. Five key genes (CAV1, CDKN3, LDHA, MB, and PER2) were identified through univariate, multivariate, and LASSO regression analyses and used to construct a prognostic model. This model demonstrated strong predictive accuracy for overall survival, stratifying patients into high- and low-risk groups. Immune cell infiltration analysis showed a negative correlation between resting and activated mast cells, and low-risk patients had higher tumor mutational burden, suggesting a better response to immunotherapy. Consensus clustering classified HNSCC into two distinct molecular subtypes with differing expression of the key genes. This GALMRG-based prognostic model is a promising biomarker for predicting HNSCC outcomes and immunotherapy responses, providing valuable insights for personalized treatment strategies.

Natural products targeting AMPK signaling pathway therapy, diabetes mellitus and its complications

Diabetes mellitus (DM) ranks among the most prevalent chronic metabolic diseases, characterized primarily by a persistent elevation in blood glucose levels. This condition typically stems from either insufficient insulin secretion or a functional defect in the insulin itself. Clinically, diabetes is primarily classified into type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM), with T2DM comprising nearly 90% of all diagnosed cases. Notably, the global incidence of T2DM has surged dramatically over recent decades. The adenylate-activated protein kinase (AMPK) signaling pathway is crucial in regulating cellular energy metabolism, marking it as a significant therapeutic target for diabetes and related complications. Natural products, characterized by their diverse origins, multifaceted bioactivities, and relative safety, hold considerable promise in modulating the AMPK pathway. This review article explores the advances in research on natural products that target the AMPK signaling pathway, aiming to inform the development of innovative antidiabetic therapies.

The ins and outs of liver fat metabolism: The effect of phenotype and diet on risk of intrahepatic triglyceride accumulation

In health, the liver is a metabolically flexible organ that plays a key role in regulating systemic lipid and glucose concentrations. There is a constant flux of fatty acids (FAs) to the liver from multiple sources, including adipose tissue, dietary, endogenously synthesized from non-lipid precursors, intrahepatic lipid droplets and recycling of triglyceride-rich remnants. Within the liver, FAs are used for triglyceride synthesis, which can be oxidized, stored or secreted in very low-density lipoproteins into the systemic circulation. The processes of FA uptake, FA synthesis and the intracellular partitioning of FAs into storage, oxidation or secretory pathways are tightly regulated. An imbalance in these processes causes intrahepatic triglyceride to accumulate and is associated with the development of metabolic dysfunction-associated steatotic liver disease. It is well appreciated that many factors can influence intrahepatic FA partitioning, and although there is good evidence that both phenotype (e.g., sex, ethnicity and adiposity) and dietary macronutrient composition can play a role in intrahepatic triglyceride accumulation, their interaction remains poorly understood. The aim of this review is to explore how the respective pathways of FA delivery, synthesis and disposal are altered by phenotype and understand how dietary macronutrient composition might influence the partitioning of FAs in the liver in vivo, in humans.

The impact of solute carrier proteins on disrupting substance regulation in metabolic disorders: insights and clinical applications

Carbohydrates, lipids, bile acids, various inorganic salt ions and organic acids are the main nutrients or indispensable components of the human body. Dysregulation in the processes of absorption, transport, metabolism, and excretion of these metabolites can lead to the onset of severe metabolic disorders, such as type 2 diabetes, non-alcoholic fatty liver disease, gout and hyperbilirubinemia. As the second largest membrane receptor supergroup, several major families in the solute carrier (SLC) supergroup have been found to play key roles in the transport of substances such as carbohydrates, lipids, urate, bile acids, monocarboxylates and zinc ions. Based on common metabolic dysregulation and related metabolic substances, we explored the relationship between several major families of SLC supergroup and metabolic diseases, providing examples of drugs targeting SLC proteins that have been approved or are currently in clinical/preclinical research as well as SLC-related diagnostic techniques that are in clinical use or under investigation. By highlighting these connections, we aim to provide insights that may contribute to the development of improved treatment strategies and targeted therapies for metabolic disorders.

A hierarchical hepatic de novo lipogenesis substrate supply network utilizing pyruvate, acetate, and ketones

Hepatic de novo lipogenesis (DNL) is a fundamental physiologic process that is often pathogenically elevated in metabolic disease. Treatment is limited by incomplete understanding of the metabolic pathways supplying cytosolic acetyl-CoA, the obligate precursor to DNL, including their interactions and proportional contributions. Here, we combined extensive 13C tracing with liver-specific knockout of key mitochondrial and cytosolic proteins mediating cytosolic acetyl-CoA production. We show that the mitochondrial pyruvate carrier (MPC) and ATP-citrate lyase (ACLY) gate the major hepatic lipogenic acetyl-CoA production pathway, operating in parallel with acetyl-CoA synthetase 2 (ACSS2). Given persistent DNL after mitochondrial citrate carrier (CiC) and ACSS2 double knockout, we tested the contribution of exogenous and leucine-derived acetoacetate to acetoacetyl-CoA synthetase (AACS)-dependent DNL. CiC knockout increased acetoacetate-supplied hepatic acetyl-CoA production and DNL, indicating that ketones function as mitochondrial-citrate reciprocal DNL precursors. By delineating a mitochondrial-cytosolic DNL substrate supply network, these findings may inform strategies to therapeutically modulate DNL.

Black phosphorus quantum dots induce lipid accumulation through PPARγ activation and mitochondrial dysfunction in adipocytes

Black phosphorus quantum dots (BPQDs) are believed to have broad prospects for application. Obesity has garnered significant attention, but the association between BPQDs and lipid metabolism has not been thoroughly investigated. Mice were orally exposed to BPQDs at doses of 0.1 and 1 mg/kg for 28 d. The exposed mice exhibited reduced insulin sensitivity, hypertrophy of white adipose tissues, and reduced thermogenic function of brown adipose tissues. In white adipocyte line (3T3-L1), exposure to 5-20 μg/mL BPQDs induced lipid accumulation, oxidative stress, and upregulated the expression of PPARγ and genes involved in de novo lipogenesis. Moreover, both a reactive oxygen species (ROS) scavenger and a PPARγ inhibitor were able to attenuate lipid accumulation and downregulate the expression of lipid-associated genes in white adipocytes. In mouse brown adipocytes, BPQDs exposure caused oxidative stress, mitochondrial dysfunction, and downregulation of thermogenic genes such as UCP1. The ROS scavenger attenuated the oxidative stress and improved the mitochondrial thermogenic function in brown adipocytes. In summary, this work demonstrates that oxidative stress induced by BPQDs mediates the lipid accumulation possibly through PPARγ activation and mitochondrial dysfunction of adipose tissues, highlighting the potential obesogenic effect of BPQDs. Our findings provide novel insights into the biosafety of BPQDs and their potential health risks to humans, offering important considerations for the sustainable application of BP materials. ENVIRONMENTAL IMPLICATION: BPQDs are a novel type of nanomaterials with unique physicochemical properties, and have broad applications in various fields, particularly in biomedicine. However, during the production and use of BPQDs as medical materials, they inevitably contact with the human body for long periods of time. Therefore, it is necessary to investigate the effects of BPQDs on organisms under long-term exposure, especially lipid metabolism. This study would be helpful decreasing the environmental health risk of BP materials and promoting their sustainable development of nanotechnology in biomedicine.

Pleozymes: Pleiotropic Oxidized Carbon Nanozymes Enhance Cellular Metabolic Flexibility

Our group has synthesized a pleiotropic synthetic nanozyme redox mediator we term a "pleozyme" that displays multiple enzymatic characteristics, including acting as a superoxide dismutase mimetic, oxidizing NADH to NAD+, and oxidizing H2S to polysulfides and thiosulfate. Benefits have been seen in acute and chronic neurological disease models. The molecule is sourced from coconut-derived activated charcoal that has undergone harsh oxidization with fuming nitric acid, which alters the structure and chemical characteristics, yielding 3-8 nm discs with broad redox potential. Prior work showed pleozymes localize to mitochondria and increase oxidative phosphorylation and glycolysis. Here, we measured cellular NAD+ and NADH levels after pleozyme treatment and observed increased total cellular NADH levels but not total NAD+ levels. A 13C-glucose metabolic flux analysis suggested pleozymes stimulate the generation of pyruvate and lactate glycolytically and from the tricarboxylic acid (TCA) cycle, pointing to malate decarboxylation. Analysis of intracellular fatty acid abundances suggests pleozymes increased fatty acid β-oxidation, with a concomitant increase in succinyl- and acetyl-CoA. Pleozymes increased total ATP, potentially via flexible enhancement of NAD+-dependent catabolic pathways such as glycolysis, fatty acid β-oxidation, and metabolic flux through the TCA cycle. These effects may be favorable for pathologies that compromise metabolism such as brain injury.

Increased hepatic gluconeogenesis and type 2 diabetes mellitus

Abnormally increased hepatic gluconeogenesis is a significant contributor to hyperglycemia in the fasting state in patients with type 2 diabetes mellitus (T2DM) due to insulin resistance. Metformin, the most prescribed drug for the treatment of T2DM, is believed to exert its effect mainly by reducing hepatic gluconeogenesis. Here, we discuss how increased hepatic gluconeogenesis contributes to T2DM and we review newly revealed mechanisms underlying the attenuation of gluconeogenesis by metformin. In addition, we analyze the recent findings on new determinants involved in the regulation of gluconeogenesis, which might ultimately lead to the identification of novel and targeted treatment strategies for T2DM.

Reductive stress-a common metabolic feature of obesity and cancer

Reductive stress, characterized by rising level of NADH (nicotinamide adenine dinucleotide) for a status of NADH/NAD+ ratio elevation, has been reported in obesity and cancer. However, the mechanism and significance of reductive stress remain to be established in obesity. This perspective is prepared to address the issue with new insights published recently. NADH is used in production of NADPH, glutathione, ATP and heat in the classical biochemistry. In obesity, elevation of NADH/NAD+ ratio, likely from overproduction due to substrate overloading, has been found in the liver for insulin resistance and gluconeogenesis. New evidence demonstrates that the elevation may induce lipogenesis, purine biosynthesis and gluconeogenesis through activation of transcription factors of ChREBP and NRF2. In cancer cells, NADH/NAD+ elevation under the Warburg effect is primarily derived from decreased NADH consumption in the mitochondrial respiration. Alternatively, NRF2 overactivation from gene mutation represents another mechanism of NADH/NAD+ elevation from NADH production in the cancer cells. The elevation is required for quick proliferation of cancer cells through induction of biosynthesis of the essential molecules. It appears that the causes of reductive stress are different between obesity and cancer, while its impact in anabolism is similar in the two conditions.

Metabolomics-driven approaches for identifying therapeutic targets in drug discovery

Identification of therapeutic targets can directly elucidate the mechanism and effect of drug therapy, which is a central step in drug development. The disconnect between protein targets and phenotypes under complex mechanisms hampers comprehensive target understanding. Metabolomics, as a systems biology tool that captures phenotypic changes induced by exogenous compounds, has emerged as a valuable approach for target identification. A comprehensive overview was provided in this review to illustrate the principles and advantages of metabolomics, delving into the application of metabolomics in target identification. This review outlines various metabolomics-based methods, such as dose-response metabolomics, stable isotope-resolved metabolomics, and multiomics, which identify key enzymes and metabolic pathways affected by exogenous substances through dose-dependent metabolite-drug interactions. Emerging techniques, including single-cell metabolomics, artificial intelligence, and mass spectrometry imaging, are also explored for their potential to enhance target discovery. The review emphasizes metabolomics' critical role in advancing our understanding of disease mechanisms and accelerating targeted drug development, while acknowledging current challenges in the field.

Integrative Omics Reveals the Metabolic Patterns During Oocyte Growth

Well-controlled metabolism is associated with high-quality oocytes and optimal development of a healthy embryo. However, the metabolic framework that controls mammalian oocyte growth remains unknown. In the present study, we comprehensively depict the temporal metabolic dynamics of mouse oocytes during in vivo growth through the integrated analysis of metabolomics and proteomics. Many novel metabolic features are discovered during this process. Of note, glycolysis is enhanced, and oxidative phosphorylation capacity is reduced in the growing oocytes, presenting a Warburg-like metabolic program. For nucleotide biosynthesis, the salvage pathway is markedly activated during oocyte growth, whereas the de novo pathway is evidently suppressed. Fatty acid synthesis and channeling into phosphoinositides are specifically elevated in oocytes accompanying primordial follicle activation; nevertheless, fatty acid oxidation is reduced in these oocytes simultaneously. Our data establish the metabolic landscape during in vivo oocyte growth and serve as a broad resource for probing mammalian oocyte metabolism.

Gluconeogenesis unraveled: A proteomic Odyssey with machine learning

The metabolic pathway known as gluconeogenesis, which produces glucose from non-carbohydrate substrates, is essential for maintaining balanced blood sugar levels while fasting. It's extremely important to anticipate gluconeogenesis rates accurately to recognize metabolic disorders and create efficient treatment strategies. The implementation of deep learning and machine learning methods to forecast complex biological processes has been gaining popularity in recent years. The recognition of both the regulation of the pathway and possible therapeutic applications of proteins depends on accurate identification associated with their gluconeogenesis patterns. This article analyzes the uses of machine learning and deep learning models, to predict gluconeogenesis efficiency. The study also discusses the challenges that come with restricted data availability and model interpretability, as well as possible applications in personalized healthcare, metabolic disease treatment, and the discovery of drugs. The predictor utilizes statistics moments on the structures of gluconeogenesis and their enzymes, while Random Forest is utilized as a classifier to ensure the accuracy of this model in identifying the best outcomes. The method was validated utilizing the independent test, self-consistency, 10k fold cross-validations, and jackknife test which achieved 92.33 %, 91.87%, 87.88%, and 87.02%. An accurate prediction of gluconeogenesis has significant implications for understanding metabolic disorders and developing targeted therapies. This study contributes to the rising field of predictive biology by mixing algorithms for deep learning, and machine learning, with metabolic pathways.

Revisiting liver metabolism through acetyl-CoA carboxylase inhibition

Liver-targeted acetyl-coenzyme A (CoA) carboxylase (ACC) inhibitors in metabolic dysfunction-associated steatotic liver disease (MASLD) trials reveal notable secondary effects: hypertriglyceridemia and altered glucose metabolism, paradoxically with reduced hepatic steatosis. In their study, Deja et al. explored how hepatic ACC influences metabolism using different pharmacological and genetic methods, coupled with targeted metabolomics and stable isotope-based tracing techniques.

Valine and Inflammation Drive Epilepsy in a Mouse Model of ECHS1 Deficiency

ECHS1 Deficiency (ECHS1D) is a rare and devastating pediatric disease that currently has no defined treatments. This disorder results from missense loss-of-function mutations in the ECHS1 gene that result in severe developmental delays, encephalopathy, hypotonia, and early death. ECHS1 enzymatic activity is necessary for the beta-oxidation of fatty acids and the oxidation of branched-chain amino acids within the inner mitochondrial matrix. The pathogenesis of disease remains unknown, however it is hypothesized that disease is driven by an accumulation of toxic metabolites from impaired valine oxidation. To expand our knowledge on disease mechanisms, a novel mouse model of ECHS1D was generated that possesses a disease-associated knock-in (KI) allele and a knock-out (KO) allele. To investigate the behavioral phenotype, a battery of testing was performed at multiple time points, which included assessments of learning, motor function, endurance, sensory responses, and anxiety. Neurological abnormalities were assessed using wireless telemetry EEG recordings, pentylenetetrazol (PTZ) seizure induction, and immunohistochemistry. Metabolic perturbations were measured within the liver, serum, and brain using mass spectrometry and magnetic resonance spectroscopy. To test disease mechanisms, mice were subjected to disease pathway stressors and then survival, body weight gain, and epilepsy were assessed. Mice containing KI/KI or KI/KO alleles were viable with normal development and survival, and the presence of KI and KO alleles resulted in a significant reduction in ECHS1 protein. ECHS1D mice displayed reduced exercise capacity and pain sensation. EEG analysis revealed increased slow wave power that was associated with perturbations in sleep. ECHS1D mice had significantly increased epileptiform EEG discharges, and were sensitive to seizure induction, which resulted in death of 60% of ECHS1D mice. Under basal conditions, brain structure was grossly normal, although histological analysis revealed increased microglial activation in aged ECHS1D mice. Increased dietary valine only affected ECHS1D mice, which significantly exacerbated seizure susceptibility and resulted in death. Lastly, acute inflammatory challenge drove regression and early lethality in ECHS1D mice. In conclusion, we developed a novel model of ECHS1D that may be used to further knowledge on disease mechanisms and to develop therapeutics. Our data suggests altered metabolic signaling and inflammation may contribute to epilepsy in ECHS1D, and these alterations may be attributed to impaired valine metabolism.