Abstract
Significance:
Ferroptosis, an iron- and lipid peroxidation-dependent mode of programmed cell death, is presently realized as a converging mediator that bridges redox imbalance and metabolic dysfunction. Differing from apoptosis and necroptosis, ferroptosis involves iron homeostasis, glutathione depletion, and redox lipid damage. Thus, it becomes the intersection of metabolic reprogramming and redox signaling. Ferroptosis is a double-edged metabolic vulnerability and adaptive resistance pathway in malignancy.
Recent Advances:
Oncogenic signaling cascades such as PI3K/Akt/mTOR and AMPK restructure glucose and lipid metabolism to regulate ferroptotic sensitivity, whereas cancer cells destabilize antioxidant defense pathways such as X
Critical Issues:
Despite rapid advancements, foundational challenges persist, including the identification of ferroptosis-specific biomarkers, tissue-specific thresholds, and mechanisms for neutralizing off-target toxicity.
Future Directions:
Recently developed technologies such as CRISPR-based functional genomics, metabolomics, and AI-powered modeling represent new-age tools in defining ferroptosis networks and precision therapeutics design. Integration of the regulation of normal physiological ferroptosis into cancer and diabetes therapy has the potential to redefine redox-targeted therapy and metabolic medicine. Antioxid. Redox Signal. 44, 676–711.
Keywords
Introduction
Ferroptosis is a distinct form of regulated cell death (RCD), driven by iron-dependent accumulation of lipid hydroperoxides and consequent membrane damage. Its ultrastructural hallmarks—condensed mitochondrial membranes, reduced cristae, and preserved nuclear morphology—distinguish it from apoptosis, necroptosis, and autophagy (Chen et al., 2024a; Peng et al., 2022). Since its formal description in 2012, ferroptosis has emerged not merely as a cell-death phenotype, but as a metabolic vulnerability that sits at the intersection of iron handling, lipid biochemistry, and cellular redox balance (Table 1 and Fig. 1; Chen et al., 2024a). Two complementary antioxidant systems, GPX4-GSH and FSP1-CoQ10, functionally antagonize ferroptosis by detoxifying lipid peroxides and preserving membrane integrity; when these defenses fail (e.g., GSH depletion, GPX4 inhibition, or iron overload), lipid peroxidation becomes self-propagating and triggers ferroptotic cell death (Jiang et al., 2025a; Li et al., 2025a; Song et al., 2025).

Key Features Distinguishing Ferroptosis from Classical Cell Death Pathways
AIF/AIFM1, apoptosis-inducing factor-induced mitochondrial AIFM1; NAD+, nicotinamide adenine dinucleotide; ATG5/12, autophagy-related gene 5/12; ATP, adenosine triphosphate; Bax/Bak, Bcl-2-associated X protein/Bcl-2 antagonist jailor; Bcl-2/Bcl-XL, B cell lymphoma 2/B cell lymphoma-extra large; BH4, tetrahydrobiopterin; CASP1/4/5/11, caspase-1/4/5/11; DHODH, dihydroorotate dehydrogenase; FasL/FasR, Fas ligand/Fas receptor; FSP1, ferroptosis suppressor protein 1; GOT1, glutamic–oxaloacetic transaminase 1; GPX4, glutathione peroxidase 4; GSDMD, gasdermin D; GSH, glutathione; IL-1β/IL-18, interleukin 1 beta/interleukin 18; LC3-II, microtubule-associated proteins 1 A/1B light chain 3B (lipidated form); NOX, NADPH oxidase; MLKL, mixed lineage kinase domain-like protein; MPT, mitochondrial permeability transition; mTOR, mechanistic target of rapamycin; NRF2, nuclear factor erythroid 2-related factor 2; P53, tumor protein p53; p62, sequestosome 1; PARP-1, Poly(ADP-ribose) polymerase 1; PE, phosphatidylethanolamine; PRR, pattern recognition receptors; PUFA, polyunsaturated fatty acid; Ras/Raf/MEK/ERK, Ras proto-oncogene/rapidly accelerated fibrosarcoma/mitogen-activated protein kinase/extracellular signal-regulated kinase; RIPK1/RIPK3, receptor-interacting protein kinase 1/3; ROS, reactive oxygen species; TNF-α/TNFR1, tumor necrosis factor alpha/tumor necrosis factor receptor 1; ULK1, Unc-51 like autophagy activating kinase 1; VASP4, vasodilator-stimulated phosphoprotein 4.
This review asks a focused, translational question: How does metabolic reprogramming alter ferroptosis susceptibility, and can the metabolic ferroptosis interface be exploited as a clinically actionable vulnerability in cancer and diabetes? Our unique angle is to synthesize mechanistic hierarchy (which metabolic nodes most directly determine ferroptosis sensitivity), clinical relevance (how those nodes map onto disease phenotypes and therapeutic windows), and practical translational priorities (biomarkers and combinatorial strategies). Rather than simply cataloguing pathways, we prioritize nodes with strong mechanistic evidence and translational tractability (e.g., system Xc−/SLC7A11, GPX4, ACSL4, DHODH/CoQ axis, and iron-handling machinery), and we highlight where context-dependence (tissue type, oncogenic background, or metabolic state) will determine clinical feasibility (Hao et al., 2022; Yang et al., 2023a).
Integrating ferroptosis with metabolic rewiring offers new therapeutic insight for three reasons. First, metabolic adaptations reconfigure substrate availability (cysteine, NADPH, PUFAs) and redox buffering capacity, thereby directly altering the threshold for ferroptosis induction. Second, metabolic nodes are often druggable and can be targeted to shift cells from a protected to a vulnerable state (e.g., inhibiting cystine import or interfering with CoQ regeneration synergizes with direct ferroptosis inducers). Third, because metabolic rewiring differs between disease states, a metabolic-informed approach enables rational patient stratification and combination therapies that reduce off-target toxicity, turning a cell-intrinsic death program into a precision therapeutic strategy (Gutiérrez-Salmerón et al., 2021; McCann and Kerr, 2021; Nong et al., 2023; Xia et al., 2021).
Mechanistically, metabolic reprogramming and ferroptosis are bidirectionally linked. Enhanced glycolytic flux, altered mitochondrial respiration, increased de novo PUFA synthesis, and dysregulated NADPH homeostasis modulate the balance between lipid peroxidation and antioxidant defenses, thereby shaping ferroptotic susceptibility (Li et al., 2022e; Yin et al., 2025; Zhu et al., 2024a). Conversely, ferroptosis-related processes such as iron release, lipid oxidation products, and changes in NAD(P)H pools feed back to remodel cellular metabolism and the tissue microenvironment. Oncogenic drivers such as RAS, MYC, and p53 further tune this balance via regulation of cysteine uptake (SLC7A11), phospholipid remodeling enzymes (ACSL4, LPCAT3), and antioxidant programs, producing tumor-and context-specific ferroptosis phenotypes (Hu et al., 2022b; Wang et al., 2023e; Yin et al., 2025). From a disease perspective, cancer and diabetes represent divergent but related metabolic states that both engage ferroptotic mechanisms. Tumors often evolve anabolic programs that increase PUFA availability and ROS generation, creating exploitable ferroptosis sensitivity in certain contexts (Li et al., 2024c; Wei et al., 2025). Chronic metabolic dysregulation in diabetes, hyperglycemia, iron accumulation, and sustained oxidative stress, primes β-cells and vascular tissues for ferroptotic damage and functional decline. Importantly, ferroptotic cells can modulate intercellular signaling, releasing oxidized lipids and danger signals that reprogram immune responses and stromal metabolism, thereby amplifying tissue-level consequences beyond cell-autonomous death (Zhao et al., 2024). Despite rapid advances, clinical translation faces clear obstacles: the lack of highly specific in vivo biomarkers, tissue-selectivity, and off-target redox effects of many modulators, and incomplete definition of the quantitative thresholds (iron, ROS, lipid peroxide species) that irreversibly commit cells to ferroptosis (Stancic et al., 2022a). Addressing these challenges requires convergent approaches that combine systems biology, high-resolution metabolomics, spatial redox imaging, and rigorous functional rescue experiments to define causal nodes and therapeutic windows (Moon, 2023; Sha et al., 2021; Stancic et al., 2022b; Sun et al., 2023b).
In this review, we summarize the molecular signature and regulatory networks that define ferroptosis, delineate how specific metabolic remodeling events determine ferroptotic susceptibility in cancer and diabetes, and evaluate therapeutic strategies that target the ferroptosis-metabolism interface, highlighting promising drug candidates, potential biomarkers, and critical knowledge gaps to guide future preclinical and clinical work.
Molecular Mechanism of Ferroptosis
Ferroptosis is a unique, controlled process of cell death that leads to the peroxidation of lipids and destruction of the cell membrane due to the action of iron. It occurs when the oxidative forces in the cell are too strong compared with the antioxidant capacity of the cell, resulting in a biochemical cascade that is dependent on three interlinked systems: iron handling, redox buffering, and membrane lipid composition (Fig. 2). We will briefly describe each of the systems first, and then show the mechanistic hierarchy and the most accessible nodes for translational intervention (Deng et al., 2023a; Tang et al., 2021a).

Iron metabolism and lipid peroxidation
The dysregulation of iron in the body results in the increase of the labile ferrous (Fe2+) pool, which in turn facilitates Fenton chemistry and generation of very reactive hydroxyl radicals that start and lead to lipid peroxidation over membranes (Rochette et al., 2022). The main substrates for peroxidation are the polyunsaturated fatty acids (PUFAs), which are incorporated into phospholipids, and the involvement of the enzymes such as ACSL4 and LPCAT3 in their formation is critical; the limiting cellular loss of phospholipid hydroperoxides does lead to the death of cells through the ferroptotic pathway as the bilayer’s integrity is compromised. The intracellular movement of iron is regulated by transferrin-mediated iron uptake, ferritin-mediated iron storage, iron export via ferroportin, and NCOA4-mediated selective ferritinophagy, which releases stored iron and thus enhances peroxidation (Rochette et al., 2022; Valgimigli, 2023).
The upstream factors that decide the availability of the substrate for peroxidation are driven by PUFA incorporation, which is ACSL4-dependent, and the size of the labile iron pool. Besides this, ferritinophagy (via NCOA4) and the modulators of iron import/export can change the iron supply and thereby act as nodes, which can either enhance or reduce the effect of sensitization (Ortega et al., 2024; Wang et al., 2023b; Zahng et al., 2024). In terms of intervention in the clinic, the approach to iron handling (including the use of iron chelators or the modulation of ferritinophagy) or the blocking of ACSL4-mediated PUFA incorporation are the main strategies because they address the issue at the source of lipid oxidation and can consequently alter the ferroptosis susceptibility across the different tissues (Gensluckner et al., 2024; Pap et al., 2022; Zahng et al., 2024).
GPX4, system Xc–, and glutathione axis
The GPX4-GSH axis is the main mechanism of cell protection against ferroptosis: GPX4 works together with GSH and hydrogen peroxide to produce lipid alcohols, which are harmless. Availability of intracellular cysteine, which is mainly dependent on the cystine import through system Xc− (SLC7A11/SLC3A2), has been identified as the limiting factor for GSH production (Li et al., 2022a, 2024b). The use of drugs and inhibition of system Xc−, such as erastin, leads to the depletion of GSH, the inhibition of GPX4, and a rapid susceptibility of cells to ferroptosis. On the other hand, the induction of SLC7A11 and GSH biosynthesis through transcriptional programs (Nrf2, ATF4) provides cells with higher resistance.
System Xc− (SLC7A11) is a proximal, clinically actionable node since it regulates cysteine supply and thereby influences GPX4 function; the latter is a terminal suppressor whose inhibition strongly activates ferroptosis. Likely, such a combination of treatments that involve partial blocking of cystine uptake and adjusting of parallel antioxidant systems (like CoQ regeneration) will bear more selectivity and less systemic oxidative toxicity (Liu et al., 2021; Shi et al., 2023; Xu et al., 2021).
Crosstalk with other cell death pathways
Ferroptosis is not a stand-alone mechanism of cell death but rather an event that takes place within the network of regulated-death modalities. Regulators with commonality, such as p53, depending on the target gene programs, either make cells more prone to suffer from ferroptosis or protect them (e.g., transcriptional repression of SLC7A11). Autophagy processes—ferritinophagy and lipophagy—control the supply of iron and the composition of lipids, respectively, thus connecting autophagy to the susceptibility of the cell to die by ferroptosis. Necroptosis and pyroptosis meet at the point of common upstream triggers (oxidative and mitochondrial stress) and downstream inflammatory consequences, yet each pathway retains mechanistic differences that can be experimentally differentiated through genetic or pharmacologic rescue (Chen et al., 2024a; Huang et al., 2025c).
Transcriptional regulators (p53, Nrf2) act like master switches determining a cell’s susceptibility to ferroptosis and controlling iron management, antioxidant protection, and lipid restructuring. From a translational point of view, manipulating these master regulators, or the particular autophagy routes that release iron (ferritinophagy), creates a chance to change the death of cells depending on the disease with specificity (Eskander et al., 2025; Lv et al., 2023a; Wang et al., 2023a; Wu et al., 2023).
Emerging regulators and redox nodes
In addition to the GPX4-GSH pathway, other mechanisms work in parallel to prevent lipid peroxidation. FSP1 at the cell membranes regenerates the reduced form of ubiquinol (CoQ10) and offers a radical-trapping mechanism, which is independent of GPX4. Mitochondrial DHODH is involved in CoQ reduction in the inner membrane and thus guards the lipids of the mitochondria. The activities of enzymes like POR, NOX family oxidases, ACSL3, and MBOATs not only affect the amount of ROS but also influence the composition of lipid species, thereby adjusting the cells’ susceptibility to ferroptosis. Nrf2 is still the main transcription factor that dictates the expression of many antioxidant and iron-handling genes, whereas the HO-1 and bilirubin pathways offer further context-dependent buffering (Chen et al., 2021; Dai et al., 2024).
The CoQ-dependent parallel defenses (FSP1 and DHODH) are the most crucial secondary suppressors in the context of tissue-specific sensitivity to ferroptosis, especially in the case of mitochondrial-rich cells. They are therefore very appealing as targets in combination therapies when GPX4 suppression is not enough. In clinical practice, together with methods that change lipid composition or NOX activity, FSP1/DHODH inhibitors or modulators would create promising pathways to increase therapeutic windows while providing more precision in selecting the affected tissue (Du and Guo, 2022; Ni et al., 2023a; Tang et al., 2021b; Wang et al., 2025b; Zhou et al., 2023).
Metabolic Reprogramming in Disease Contexts
Metabolic reprogramming is a hallmark of both cancer and diabetes, reflecting the adaptive shifts that enable cells to survive oxidative and energetic stress (Fig. 3). These metabolic alterations reshape redox homeostasis, influencing cellular susceptibility to ferroptosis and linking dysfunction to disease progression.

Hallmarks of metabolic reprogramming in cancer and diabetes
Metabolic reprogramming includes variations in glucose, amino acids, and lipid metabolism that make it possible for cells to have energy and building blocks even during stressful situations. The tumor cells use these changes to continue growing and surviving even when the tumor microenvironment (TME) is not very friendly. In diabetes, chronic high glucose levels and insulin resistance lead to a nonadaptive type of remodeling, which decreases mitochondrial function, making it difficult to maintain redox balance. Changes in both diseases result in a similar alteration of the oxidative and antioxidant processes, so that the metabolic state can determine whether susceptibility to ferroptosis is raised or lowered. Therefore, ferroptosis is a redox-sensitive junction that integrates the anabolic remodeling in the various pathologies with the death of the cell by regulation (Hao et al., 2022; Hua et al., 2023; Zeković, 2024).
At the cellular level, the interaction of the three metabolic pathways, that is, cysteine/GSH supply, NADPH/CoQ regeneration, and PUFA availability, mainly determines the threshold limits of ferroptosis. In the treatment of diseases, the modification of these pathways (e.g., via inhibitors of SLC7A11, NADPH/PPP modulators, or ACSL4-directed strategies) would be the most promising targets since these interventions are applied before lipid peroxidation occurs and can be combined with direct ferroptosis inducers to achieve a selective therapeutic outcome (Bosso et al., 2024; Li and Ye, 2024).
Glucose metabolism and ferroptosis regulation
The control of redox state in the cell is dictated by glucose metabolism, which takes place through glycolysis, the pentose phosphate pathway (PPP), and mitochondrial oxidation. Several tumors are using aerobic glycolysis to their advantage and diverting glucose into the PPP to produce NADPH, a reduction power that supports GSH production and CoQ reduction—the two major processes in the fight against lipid peroxidation (Zhang et al., 2024b; Zhu et al., 2024a). On the other hand, redirecting pyruvate into the mitochondria for oxidation leads to the generation of high levels of reactive oxygen species (ROS), and therefore cells may be more susceptible to destruction via lipid peroxidation; the enzyme G6PD, which is part of the PPP, can be inhibited, causing a reduction in the levels of NADPH. Consequently, the tumor cells can become sensitive again to the inducers of ferroptosis. The impact of changing the glucose metabolism route in the cell largely depends on the extent to which this modification shifts the balance of reducing equivalents between the cytosol, where NADPH is being produced, and mitochondrial ROS production (Miao et al., 2023; Yao et al., 2021; Zhong et al., 2023).
The PPP/NADPH axis is a proximal regulator of ferroptosis due to the fact that the availability of NADPH determines the activity of the different antioxidant systems (GSH, FSP1/CoQ) in the cell. Targeting the PPP enzyme like G6PD or employing strategies that direct pyruvate into oxidative phosphorylation are potential clinical approaches to reduce antioxidant capacity and make the cancer cell more sensitive to ferroptosis, but the metabolic heterogeneity of tumors still necessitates the use of biomarkers for patient selection (Jiang et al., 2024a; Peng et al., 2025; Sun et al., 2024).
Amino acid metabolism and redox control
The synthesis of GSH and mitochondrial anaplerosis are primarily regulated by the amino acid flux, which consists of cysteine, glutamate, and glutamine. System Xc− (SLC7A11/SLC3A2) is responsible for the transport of cystine for GSH production. Its overexpression leads to resistance against ferroptosis, whereas its inhibition results in glutathione depletion and more lipid peroxidation. The glutamine decay process has both positive and negative effects depending on the circumstances. The action of the enzyme that converts glutamine to glutamate can facilitate the flow of the TCA cycle and mitochondrial ROS, making cells more sensitive to ferroptosis. On the other hand, glutamate produced from glutamine can help cysteine exchange and antioxidant defense. The process of autophagy (e.g., ferritinophagy, GPX4 degradation) additionally links amino acid metabolism with iron release and GPX4 stability, thus merging protein and iron homeostasis into the regulation of ferroptosis (Chen et al., 2021; Hu et al., 2023b; Li and Zhang, 2024; Wang et al., 2021, 2023d; Yang et al., 2022a).
SLC7A11 has a main role in the process and is considered to be a drug target since it regulates the supply of cysteine for GSH and consequently for the GPX4 process. Glutaminase and autophagy (ferritinophagy) are the secondary modulators, which can either promote or suppress ferroptosis depending on the amino acid flux. The combination of SLC7A11 partial inhibition with glutamine metabolism or autophagy modulation in therapeutic strategies can provide increased selectivity and not be affected by compensatory responses (Liu et al., 2020, 2023a; Yang et al., 2022a; Yao et al., 2021).
Lipid metabolism and ferroptotic vulnerability
The content of PUFA in the membrane represents the biochemical substrate for ferroptosis. ACSL4 and LPCAT3 are responsible for the activation and the incorporation of AA and AdA into phospholipids, which are selectively oxidized to lipid hydroperoxides. The presence of monounsaturated fatty acids (MUFAs) and lipid droplets reduces the availability of the substrate and provides resistance by moving PUFAs away from peroxidation-prone phospholipids. Therefore, the interplay of PUFA synthesis/desaturation, phospholipid remodeling, and lipid storage will decide the susceptibility of membranes to iron-catalyzed oxidation, a phenomenon that can be observed in tumors and diabetic tissues where the alteration of lipid handling makes the oxidative injury worse (Lee et al., 2021; Lin et al., 2021; Naowarojna et al., 2023; Pope and Dixon, 2023).
The incorporation of PUFA, which depends on ACSL4, is a primary factor for the availability of substrates for ferroptosis and a target with high potential. Meanwhile, the enhancement of MUFA production (SCD1) or lipid trapping is a way of protection. The pharmacological intervention of the lipid desaturation/remodeling enzymes gives a straightforward route of changing the ferroptosis levels, especially in cancers having a high expression of ACSL4 (Kim et al., 2023; Lei et al., 2022; Li and Li, 2020).
Tumor microenvironment and immune cell metabolism
The TME is a very different place metabolically. It is an ecosystem where cancer cells, cancer-associated fibroblasts (CAFs), various immune cells, and the extracellular matrix give and take nutrients, metabolites, and redox signals that together determine the sensitivity to ferroptosis (Arner and Rathmell, 2023; Cortellino and Longo, 2023). The exchange of metabolites (e.g., lactate, cysteine/cystine) and the paracrine cytokine signaling act as context-dependent modulators: they can either enhance the tumor’s antioxidant capacity and protect it from ferroptosis or deplete the resources and make the local cells more susceptible to lipid peroxidation. From the point of view of therapeutics, the two strategies of disrupting stromal metabolic support or shielding the antitumor immune effectors from ferroptotic stress are not only orthogonal but also can be used together to achieve the desired effect of increasing tumor selectivity while minimizing the collateral damage to the surrounding tissues (Anderson, 2022; Kalyanaraman et al., 2022).
Cancer-associated fibroblasts
CAFs usually change their metabolism to the glycolytic type by having high activities of PKM2 and LDHA, lowering caveolin-1, and producing large amounts of lactate. This is then taken up by the tumor cells through the MCT transporters. The lactate taken up is then oxidized through TCA/acetyl-CoA and NAD+ production routes indirectly, supporting GSH regeneration and limiting ROS buildup. The tumor cells also receive the CAFs’ help in the form of secreted cytokines (IL-6, IL-8) that stimulate the tumor cells’ influx in the PPP and NADPH production, thereby activating the more antioxidant defenses (Cheng et al., 2023; Soll et al., 2024). Moreover, the CAF-derived exosomes (for instance, those that are laden with miR-522) are capable of bringing down the lipid-peroxidizing enzymes such as ALOX15 in cancer cells. Hence, the PUFA-PL oxidation is reduced, resulting in the support of therapy-induced ferroptosis resistance (Chen et al., 2024a; Qi et al., 2023; Yao et al., 2023; Zhu et al., 2024c).
The primary players in the increase of tumor NADPH and GSH pools are the metabolite supply (lactate/cysteine precursors) and paracrine cytokine signaling. The suppression of lipid-oxidizing enzymes by exosomal microRNA-mediated is considered a minor gene-regulatory layer of protection. From a translational point of view, one possible way of tumor sensitization to ferroptosis inducers is targeting CAF metabolic coupling (using MCT inhibitors, blocking CAF cytokine signaling) or even exosomal cargo blockade that is protective. During combination therapy, the transient protection of effector immune cells from ferroptosis could help to sustain the antitumor immunity (Yao et al., 2024a).
Immune cells and ferroptosis modulation
Immune cells residing in the TME show different metabolic pathways that determine their sensitivity to iron-dependent cell death and their ability to inhibit tumors. The quick ATP and biosynthetic needs of effector CD8+ T cells come from glycolysis. The lack of glucose in the TME generates more stress in the mitochondria, and ROS make these cells more likely to undergo ferroptotic death, losing their ability to kill cancer cells (Duan et al., 2025; Yao et al., 2025). Regulatory T cells (Tregs) and M2 macrophages mainly depend on fatty acid oxidation and boost their antioxidant pathways (Nrf2-dependent programs) and produce immunosuppression. Dendritic cells and NK cells under the influence of lipid overload demonstrate impaired antigen presentation and cytotoxicity. Neutrophil extracellular traps (NETs) and neutrophil-derived oxidative mediators also contribute to local oxidative stress. Interestingly, the presence of neutrophils in tumors can activate Nrf2 in nearby cells, thus indirectly reinforcing tumor redox defenses (Duan et al., 2025; Wang, 2024; Wang et al., 2024c).
Nutrient competition (glucose, cystine) and cell-intrinsic antioxidant programs (Nrf2, GSH synthesis) are the main factors that decide the fate of immune cells undergoing ferroptosis, while lipid uptake and storage pathways contribute to the effect of susceptibility indirectly. From a therapeutic perspective, the use of localized antioxidant delivery, metabolic reprogramming to reduce ROS (Bacigalupa et al., 2024; Brunner and Finley, 2023). It could help in protecting the effector lymphocytes from ferroptosis, thereby increasing the overall effect of immunotherapy supplied by the dismantling of tumor-protective immune niches through the inhibition of Treg/M2 metabolic pathways. There is a need for careful balancing as the wide induction of ferroptosis may result in the death of immune effector cells. Hence, the combination of therapies must incorporate measures for immune protection and also be influenced by metabolic and cellular biomarkers (Shahzad et al., 2025b).
Impact on ferroptosis sensitivity and therapeutic implications
Metabolic reprogramming and ferroptosis create a bidirectional regulatory loop: metabolic flexibility allows one to stay away from ferroptotic stress, whereas intentional metabolic disruptions can bring back the sensitivity. In the case of cancer, the therapeutic blockade of important metabolic nodes, such as SLC7A11, G6PD (PPP), or SCD1 (MUFA synthesis), not only results in a decrease of antioxidant capacity but also enhances the effect of ferroptosis inducers (Tan et al., 2024). In the case of diabetes, the long-standing oxidative and lipid disturbances make the pancreatic β-cells and the vascular tissues prone to ferroptotic death, thus indicating that the modulation of ferroptosis (inhibition to save cells or selective induction to get rid of dysfunctional cells) may have context-specific therapeutic applicability (Dos Santos et al., 2023; Tang et al., 2021a).
From a translational perspective, the most effective strategies are directed to the upstream metabolic nodes that control substrate availability and reducing power (SLC7A11 → GSH/GPX4; PPP → NADPH; ACSL4 → PUFA-PL), in addition to context-sensitive approaches that take into account the metabolic state of the tissue and immune interactions. It will be necessary to implement biomarker-guided patient selection and combinatorial regimens (metabolic modulators + ferroptosis inducers or immune-protective agents) to optimize the therapeutic index and prevent the injury from off-target oxidative processes (Chen et al., 2024b; Dos Santos et al., 2023; Jin et al., 2024).
Ferroptosis in Cancer: Mechanistic and Therapeutic Insights
Ferroptosis has gained increasing recognition as a redox-driven vulnerability in cancer, closely tied to the metabolic and oxidative adaptations that sustain tumor growth and therapy resistance. The dysregulation of iron metabolism, lipid peroxidation, and antioxidant defense redefines cancer cell fate, positioning ferroptosis as a central determinant of tumor survival under metabolic stress (Fig. 4; Zhao et al., 2022). Exploring the mechanisms and therapeutic modulation of ferroptosis provides new opportunities to overcome treatment resistance and enhance redox-targeted cancer therapy (Table 2).

Therapeutic Compounds Targeting Ferroptosis in Various Tumors
AKT, protein kinase B (Akt); Akt, protein kinase B; ALK, anaplastic lymphoma kinase; BT-Br, 3-bromopyruvic acid derivative of catalase; CD44, cluster of differentiation 44; CRC, colorectal cancer; CTCs, circulating tumor cells; EVO, evodiamine; FAAH, fatty acid amide hydrolase; FTC, follicular thyroid carcinoma; FTH1, ferritin heavy chain 1; GPX4, glutathione peroxidase 4; HCC, hepatocellular carcinoma; HCL-23, ferroptosis-inducing synthetic compound; HMOX1/HO-1, heme oxygenase 1; HSP90, heat shock protein 90; IGF1R, insulin-like growth factor 1 receptor; mTOR, mechanistic target of rapamycin; mTORC1, mechanistic target of rapamycin complex 1; NaB, sodium butyrate; NADPH, nicotinamide adenine dinucleotide phosphate (reduced form); NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; NSAID, nonsteroidal anti-inflammatory drug; NSCLC, non-small-cell lung cancer; Nrf2, nuclear factor erythroid 2-related factor 2; PI3K, phosphoinositide 3-kinase; RCC, renal cell carcinoma; ROS, reactive oxygen species; SLC7A11, solute carrier family 7 Member 11 (otherwise known as xCT); TNBC, triple-negative breast cancer; URB597, FAAH inhibitor compound; xCT, cystine/glutamate antiporter (SLC7A11).
Ferroptosis vulnerability in therapy-resistant tumors
Ferroptosis utilizes the imbalance in the redox state of iron and lipids that is present in a number of cancer cells. Thus, it creates a different kind of metabolic liability from what happens when the apoptosis process is disabled. The therapy-resistant tumor populations, drug-tolerant persisters, cancer stem-like cells, and mesenchymal/dedifferentiated phenotypes are usually characterized by high iron content, increased PUFA incorporation into membranes, and higher baseline ROS production, which altogether make them more than ready for ferroptotic death if no antioxidant defenses are present (Lei et al., 2022; Nie et al., 2022; Singh et al., 2025).
For instance, resistance to chemotherapy or radiotherapy often brings about redox changes (overproduction of GSH, increased expression of GPX4 and SLC7A11) that elevate the threshold for ferroptosis, and the cancer cells continue to survive (Zhang et al., 2022a; Zhu et al., 2022a). However, it is noteworthy that the use of drugs or genetic manipulation to inhibit SLC7A11 or GPX4 (for instance, erastin, RSL3) can bring back the sensitivity of the resistant cells and cause the extinction of the drug-tolerant populations in the preclinical models, hence presenting a rational strategy to defeat the failure of conventional therapy to work (Koeberle et al., 2023; Xie et al., 2023; Zhang et al., 2022a; Zhu et al., 2022a). Tumors exhibiting mesenchymal characteristics—triple-negative breast cancer, hepatocellular carcinoma, and pancreatic ductal adenocarcinoma—are often characterized by metabolic changes and lipid alterations leading to increased susceptibility to ferroptosis, thus creating selective therapeutic opportunities (Li et al., 2022b; Wu et al., 2022c).
The upstream determinants, which are the iron load and the incorporation of PUFA through ACSL4, determine the availability of substrates for peroxidation, and the SLC7A11 → GSH → GPX4 pathway is the main protective mechanism. In clinical practice, the most straightforward approach to selectively eliminating tumor cells that are resistant to therapy is by targeting SLC7A11 or GPX4 (either alone or together with metabolic modulators that enhance PUFA availability or promote iron release; Koeberle et al., 2023; Lee and Roh, 2022).
Metabolic rewiring and ferroptosis evasion in cancer cells
To reduce oxidative stress and avoid ferroptosis in cancer cells, change their glucose and lipid metabolism. The process of aerobic glycolysis and the rerouting of glucose into the PPP provide an increased supply of NADPH. It will support GSH regeneration and CoQ reduction, while the inhibition of the mitochondrial OXPHOS will keep the ROS production at a lower level (Wang et al., 2023e; Žalytė, 2023).
The activation of the PI3K/Akt/mTOR–SREBP1 signaling pathway leads to an increase in the production of new lipids and MUFAs through the stearoyl-CoA desaturase (SCD1) enzyme, thus altering the composition of membranes by favoring MUFAs over PUFAs and decreasing the levels of peroxidation substrates. Pushing mitochondrial oxidation or obstructing the PPP and glucose-6-phosphate dehydrogenase (G6PD) can lead to heightened levels of ROS and make the cells more susceptible to the action of ferroptosis inducers (Audrito and Giovannetti, 2025; Lv et al., 2025; Wang et al., 2023e; Zhan et al., 2022).
The energy-sensing enzyme AMP-activated protein kinase (AMPK) has a variable role according to the context. During energetic stress, AMPK hinders PUFA production (thus reducing the availability of substrate), and it also stimulates routes (e.g., Beclin-1-mediated SLC7A11 interaction) that restrict the import of cystine and make the cells more susceptible to ferroptosis (Lv et al., 2025; Wang et al., 2023e; Žalytė, 2023).
The PPP/NADPH pathway and the supply of cysteine controlled by SLC7A11 are the main factors that regulate antioxidant capacity, whereas mTOR/SREBP1 and SCD1 control the lipid composition that affects the susceptibility of cells to oxidative stress. From a therapeutic perspective, the inhibition of either PPP or SCD1 alone, or the combination of metabolic reprogramming (inducing OXPHOS) along with ferroptosis inducers, are all possible interventions—assuming that the selection of patients considers the metabolic heterogeneity of tumors (Audrito and Giovannetti, 2025; Bhowmick et al., 2025; Lee et al., 2020).
Role of cancer-associated fibroblasts and immune cells
Metabolite exchange and paracrine signaling are the two major factors governing the susceptibility of the TME to ferroptosis. The roles of the CAFs are the following: they switch to the glycolytic metabolism, and they provide the tumor cells with the lactate and the cytokines (e.g., IL-6), which in turn are utilized by the tumor cells to enhance the NADPH and GSH production. Hence, the oxidative stress is reduced, and the risk of stem cell death through ferroptosis is minimized (An et al., 2020; Desbois and Wang, 2021). Moreover, the miRNAs (like miR-522) released by the CAFs in exosomes further inhibit the enzymes that are oxidative and more lipid-peroxidizing (ALOX15), thereby providing the tumor cells with a shield against the therapeutic-induced ferroptosis. Immune cells are adaptable: the effector CD8+ T cells that are deprived of glucose might develop ROS and become nonviable or dysfunctional through the process of ferroptosis. The Tregs and M2 macrophages are using fatty acid oxidation and antioxidant programs to survive and continue to suppress the immune response. The lipid overload in dendritic cells leads to the impairment of the antigen-presenting function and can be associated with the ferroptotic features, thus weakening the antitumor immunity (Barrett and Puré, 2020; Freeman and Mielgo, 2020; Huang et al., 2023a; Jiang et al., 2025b; Kennel et al., 2023; Mhaidly and Mechta‐Grigoriou, 2021; Sezginer and Unver, 2024; Xiang et al., 2020).
The flux of metabolites from CAFs like lactate and cysteine precursors, along with antioxidant programs in immune cells, is one of the factors that can protect tumors from undergoing ferroptosis. Thus, the strategies that impair stromal metabolic support or protect effector immune cells from suffering ferroptotic stress will be very effective, combined with tumor-directed ferroptosis inducers (Correa‐Gallegos et al., 2021; Montes-Gómez et al., 2020; Wang et al., 2023c).
Therapeutic agents targeting ferroptosis
The pharmacological intervention in the process of ferroptosis has shifted from basic research to clinical applications. System Xc− inhibitors (erastin and its derivatives) cause depletion of cystine and GSH, while direct GPX4 inhibitors (RSL3, ML162) stop the detoxification of lipid hydroperoxide without depending on the supply of cysteine, thus directly inducing ferroptosis (Sun et al., 2023a; Yuan et al., 2021). Drugs that target multiple receptors, like sorafenib, induce ferroptosis to some extent by blocking the import of cystine. FIN56 works by compromising GPX4 stability and draining CoQ, thereby overpowering both the conventional and the nonconventional antioxidant protection (Cheff, 2023; Cheff et al., 2023; Huang et al., 2022a; Liu et al., 2021, 2021; Tang et al., 2020; Wang et al., 2020a). Current therapeutic strategies focus on the rational combinations—metabolic modulators (G6PD/PPP inhibitors, SCD1 inhibitors) or immune-modifying agents together with ferroptosis inducers to improve selectivity for tumors, rupture resistance, and activate immune-mediated clearance (Gao et al., 2022b; Golbashirzadeh et al., 2023; Sun et al., 2021; Yin et al., 2023; Zhao et al., 2022).
Drugs that work on all three fronts, supplying the substrate by blocking SLC7A11, suppressing the terminal step by inhibiting GPX4, and the parallel defense by attacking FSP1/DHODH/CoQ, will have the best chance of getting rid of the tumors permanently and not letting the resistance mechanisms take over. For the treatments to be used in patients, it will be necessary to select the patients according to the biomarkers (e.g., ACSL4 expression, SLC7A11 levels, iron status), optimize the treatments to avoid oxidative toxicity in the whole body, and design the combinations so that the immunity to tumors is not affected (Liu et al., 2022d, 2025b).
Clinical trials and translational potential
Mechanistic rationale for ferroptosis-targeting
Ferroptosis drug therapies have a simple and predictable mechanistic basis: pathological cells like certain resistant tumor clones, stressed β-cells, and injured vascular cells are present in different states, one of them being an overabundance of iron and a lack of lipid composition. Thus, slight changes in cysteine supply, GPX4 activity, CoQ/FSP1 regeneration, or iron handling may easily kill the cell due to the turning of the balance to harmful from viable lipid peroxidation (Li et al., 2022a; Shi et al., 2025). Focusing on the proximal, high-leverage points, such as SLC7A11 (system Xc−), to restrict cystine import. GPX4 to make inactive the last detoxifier of lipid hydroperoxides. ACSL4/LPCAT3 to alter membrane PUFA substrate availability, and CoQ-based mechanisms (FSP1, DHODH) in parallel to remove compensatory buffering. It is a distinct mechanism to de novo lower the ferroptosis threshold in susceptible cells (Deng et al., 2025a; Wang et al., 2025a). Meta-analysis, reviews, as well as contemporary preclinical studies, accentuate that single-node interventions very often lead to the activation of compensatory defenses (e.g., FSP1 upregulation after GPX4 suppression). They claim that the poly-target or rational combination strategies that hit both substrate supply and antioxidant buffering are the most preferable ones from a mechanistic point of view (Li et al., 2021; Shan et al., 2020).
Therapeutic implications and comparison with current clinical standards
The majority of real ferroptosis-targeted small molecules are still in the preclinical or early translational phase: classical tool compounds (erastin, RSL3, and their derivatives) as well as many GPX4 inhibitors display very strong in vitro activity but are also characterized by the same major drawbacks, that is, poor pharmacokinetics and lack of specificity, which limit the current clinical applicability (Dos Santos et al., 2023; von Samson-Himmelstjerna et al., 2022). The pursuit for the inhibition of FSP1 or modulation of DHODH/CoQ biology is gaining more and more traction, as these strategies are at least partially resistant to GPX4-dependent evasion of cell death. Thus, several FSP1/DHODH-directed programs are already showing good preclinical efficacy, and their translation into clinics is planned. Hence, the whole realm of research is a facilitator moving from the demonstration of mechanistic proof-of-concept to lead optimization and better delivery modalities (Maremonti et al., 2024; Tong et al., 2022a).
When comparing with oncology, one can observe that the conventional treatments, which include chemotherapy, targeted small molecules, and radiotherapy, mainly lead the cells to die either through apoptosis and necrosis or by mitosis, and they are often ineffective against resistant subclones. On the contrary, immune checkpoint blockade takes advantage of the rejuvenated antitumor immunity instead of directly targeting the tumor. The strategies based on ferroptosis have a different mechanism and thus have two major translational niches: (1) resistance reversal—ferroptosis inducers are capable of killing the drug-tolerant persisted cells that are resistant to apoptosis-based agents and (2) collaborations with immunotherapy—cell death by ferroptosis releases oxidized lipids and DAMPs that can either promote the antitumor immunity but if not properly managed, may even hinder the immune effectors (Beretta and Zaffaroni, 2023; Koeberle et al., 2023). Therefore, the agents that drive the process of ferroptosis are better seen as partners in a combination treatment rather than total replacements; among the various clinical designs, the combination of inducing the process of ferroptosis with chemotherapy (to reduce tumor size), targeted agents (to cut down compensatory survival pathways), or immune checkpoint blockade (to trigger potential immunogenic effects) is the most rational from the perspective of the underlying mechanisms, and it is also being tested in preclinical models (Koeberle et al., 2023).
Lipid peroxidation is a universal biochemical reaction, and its systemic induction can cause oxidative damage to normal tissues along with the tumors. Tumor-targeted delivery (such as nanocarriers and prodrugs activated in the TME), biomarker-guided patient selection (e.g., high ACSL4, elevated TFRC/iron signature, low SLC7A11), and combining temporally limited dosing with antioxidant protection of vulnerable normal tissues (through local delivery or cell-type specific protection) are among the selectivity-improving strategies (Lv et al., 2023b; Pope and Dixon, 2023). Initial preclinical studies already indicated that nanoplatforms and tumor-selective delivery are among the technologies that will facilitate the development of ferroptosis therapeutics.
The most notable are the expression of ACSL4 (which predicts the abundance of PUFA-PL substrate), the dynamics of transferrin receptor (TFRC) or ferritin (which indicate iron status), and the assessment of lipid peroxidation (through targeted lipidomics for PE-OOH species rather than nonspecific MDA/4-HNE alone). Since no biomarker is completely reliable by itself, the combination of molecular markers (ACSL4, SLC7A11/GPX4 levels), functional assays (rescue by ferroptosis inhibitors in ex vivo cultures), and spatial lipidomics may provide the strongest predictive value for trial enrollment and pharmacodynamic readouts (Huang et al., 2024; Yang et al., 2022b).
Ferroptosis in Diabetes and Its Complications
Instead of inducing ferroptosis, the priority could be to prevent the injury of dying β-cells and blood vessels through ferroptosis. The mechanistic rationale here supports antioxidant preservation (conserving GPX4/GSH pools, controlling iron overload, and lessening PUFA peroxidation) as well as the use of ferroptosis inhibitors or iron chelation as cytoprotective strategies for high-risk patients or diabetic complication models. Nevertheless, these protective measures have to be weighed against the possible risks (e.g., hindering the normal immune clearance) and will need tissue-targeted delivery and robust biomarker monitoring (Byndloss et al., 2024; Ma et al., 2023a).
Ferroptosis has emerged as a critical driver of metabolic and oxidative injury in diabetes and its complications. Persistent hyperglycemia, iron overload, and impaired antioxidant defenses create a pro-ferroptotic environment that accelerates β-cell dysfunction, insulin resistance, and vascular damage. Understanding how ferroptosis integrates with redox imbalance and metabolic stress provides new insight into the pathogenesis and therapeutic targeting of diabetic complications (Table 3; Deng et al., 2023b).
Ferroptosis-Related Compounds and Molecular Targets in Diabetes Mellitus and Its Complications
ACSL4, acyl-CoA synthetase long-chain family member 4; AMPK, AMP-activated protein kinase; ARPE-19, human retinal pigment epithelial cell line; BSO, buthionine sulfoximine; γ-glutamylcysteine synthetase (GCL) inhibitor; CMA, chaperone-mediated autophagy; Curcumin, a polyphenolic compound derived from turmeric having Nrf2-activating effect; db/db mice, genetically diabetic mice model (leptin receptor-deficient); Dracorhodin, a natural compound of dragon’s blood that is known to induce ferroptosis; Erastin, triggers ferroptosis through inhibition of cystine/glutamate antiporter; Fer-1, ferrostatin-1; lipophilic antioxidant, lipid peroxidation inhibitor; FTH1/FTL, ferritin heavy chain/ferritin light chain; GCL, glutamate–cysteine ligase; GMFB, glia maturation factor beta; GPX4, glutathione peroxidase 4; GSH, glutathione; HIF1α, hypoxia-inducible factor 1-alpha; HK-2, human proximal tubule epithelial cells; HRMECs, human retinal microvascular endothelial cells; HSF1, heat shock factor 1; INS-1 cells, rat insulinoma β-cell line; Lip-1, liproxstatin-1; ferroptosis inhibitor that acts on lipid ROS; MAFG, MAF BZIP transcription factor G; MAPK3, mitogen-activated protein kinase 3; NAC, N-acetylcysteine; NCOA4, nuclear receptor coactivator 4; Neuroglobin, a neuron-specific globin that binds to cytochrome c so as to block apoptosis; NRK-52E, normal rat kidney epithelial cell line; Nrf2, nuclear factor erythroid 2-related factor 2; PA, palmitic acid; Quercetin, a flavonoid with antioxidant and anti-ferroptotic activity; RNF103, ring finger protein 103; RSL3, RAS-selective lethal 3; direct GPX4 inhibitor in small molecule; SCUBE1, signal peptide-CUB-EGF domain-containing protein 1; SLC40A1, solute carrier family 40 member 1 (also known as ferroportin-1); SLC7A11, solute carrier family 7 member 11 (member of system Xc−); STZ, streptozotocin (induces diabetes in animal models); TFRC, transferrin receptor; Vitamin E, α-tocopherol; an antioxidant lipid peroxidation inhibitor.
β-cell dysfunction and oxidative stress
Diabetes is one of the most serious worldwide metabolic epidemics, posing the greatest threat to oxidative stress and redox state, along with T1DM and T2DM. Pancreatic β-cells have a very low level of endogenous antioxidants and are also vulnerable to oxidative damage that is iron-dependent and includes ferroptosis (Dinić et al., 2022; Miao et al., 2023). An abnormal iron metabolism, elevated serum ferritin, and transferrin saturation promote ROS formation through the Fenton reaction. Therefore, this advances lipid peroxidation and β-cell destruction in T1DM and T2DM. GSH depletion and GPX4 inhibition catalyze and proceed toward inducing ferroptotic death in β-cells, with the ferroptotic death following the excessive accumulation of lipid hydroperoxides in membrane phospholipids. Studies have shown that overexpression of GPX4 and treatment with ferrostatin-1 (Fer-1) to block ferroptosis significantly increase ß-cell viability in hyperglycemic and oxidative environments (Moon, 2023; Stancic et al., 2022a).
Natural products such as berberine and quercetin exhibit potent antiferroptotic action, which can raise GPX4 levels in the tissues while reducing iron overload and lipid peroxidation to protect pancreatic tissues (Bao et al., 2023; Cheng et al., 2024c). Arsenic exposure induces ferroptotic β-cell death via iron accumulation and mitochondrial dysfunction, which can be rescued using antioxidants such as glutathione ethyl ester or iron chelators like deferoxamine, also known as an environmental diabetogenic (Hong et al., 2022; Wei et al., 2020). Such findings make it clear that ferroptosis is a key to β-cell vulnerability and hence imply that redox-modulating therapeutics would preserve islet integrity under diabetic conditions.
Ferroptosis, lipid peroxidation, and insulin resistance
Ferroptosis and insulin resistance are connected in a very similar way to the disturbances in lipid metabolism, iron, and redox balance on the cellular level, which are caused in organs such as the pancreas, liver, adipose tissue, and muscle. Lipid hydroperoxides and some oxidized phospholipids (like PE-OOH) at the molecular level are drawn into the interaction between insulin and its receptor by changing the signaling nodes (IRS-1 and the PI3K–AKT pathway; Wang et al., 2023a; Zhang et al., 2022c). These are either by direct oxidative modification of the signaling proteins or by activating stress kinases (like JNK) that phosphorylate inhibitory sites on the insulin receptor substrates, making it less effective. These then lower the glucose uptake and glycogen synthesis stimulated by insulin, offering a direct biochemical connection from lipid peroxidation to peripheral insulin resistance. Chronic low-grade inflammation acts as a third mechanism that converges with the first one. Chemoattractants and innate immune cell activators, oxidized lipids released from ferroptotic or peroxidation-stressed cells, facilitate the production of cytokines (TNF-α, IL-1β, IL-6) that extend the effect of insulin in adipose and liver cells. In this manner, local ferroptotic survives into the process of inflammation-driven systemic insulin desensitization and metabolic dysfunction. Iron dysregulation reinforces both sides of this loop: a rise in labile iron spurs Fenton chemistry and lipid peroxidation, while iron-induced oxidative stress activates inflammatory signaling and tissue remodeling that diminishes insulin sensitivity (Endale et al., 2023; Moon, 2023; Yu and Huang, 2023).
Cell death processes have made another connection between ferroptosis and glucose metabolism. In the case of pancreatic β-cells, which are naturally deficient in antioxidants, the cell death by ferroptosis results in the reduction of β-cells and in the insulin secretory reserve. This leads to a decrease in circulating insulin and the worsening of hyperglycemia. In addition, the selective killing of adipocytes or hepatocytes through ferroptosis can lead to a shift in the interorgan substrate fluxes (higher NEFA release, changed VLDL secretion, etc.) that in turn lead to greater peripheral insulin resistance (Jiang et al., 2024a; Zhu et al., 2024a).
The mechanistic concepts are the basis for proposing clearly defined and experimentally verifiable strategies. By demonstrating cause and effect relations, as well as showing the role of different tissues in the process (Jiang et al., 2024a; Zhang et al., 2023b, 2024b). It was suggested: (1) combining tissue-specific genetic manipulation (conditional GPX4 or ACSL4 knockout/overexpression in β-cells, hepatocytes, adipocytes, skeletal muscle) with metabolic phenotyping (glucose/insulin tolerance tests, hyperinsulinemic–euglycemic clamps); (2) lipidomic and spatial metabolomic profiling of insulin-sensitive tissues to quantify PE-OOH and related oxylipin signatures that correlate with insulin signaling defects; (3) calibrated measures of labile iron and ferritin dynamics (labile-iron probes, NCOA4/ferritin turnover assays) to link iron flux to both peroxidation and insulin pathway impairment; and (4) interventional rescue studies using lipophilic radical-trapping antioxidants (RTAs; ferrostatin-1, liproxstatin-1), iron chelators, or targeted restoration of GPX4/GSH pools to determine whether blocking ferroptosis restores insulin signaling and whole-body glucose homeostasis. In vivo experiments with human adipose, liver, or pancreatic islet tissue (first subjecting to acute lipotoxic and iron challenges followed by rescue assays) will be especially helpful in transferring the results to human diseases (Lin et al., 2022; Pope and Dixon, 2023; Zhang et al., 2023b).
Two different therapeutic opportunities are suggested by the mechanisms from the translational: (i) cytoprotection—early diabetes-induced insulin secretory and vascular function loss can be prevented by the use of tissue-targeted antioxidants or iron modulators; and (ii) selective clearance—if dysfunctional, senescent, or lipid-overloaded cells are the cause of systemic inflammation, careful application of ferroptosis induction (with tissue targeting) might lead to removal of pathogenic cells and improved metabolic homeostasis (Pope and Dixon, 2023). Both approaches will require supportive preclinical investigations in which cardiac, neural, and renal function evaluations will be done, along with the use of biomarkers (the combined panels of ACSL4, GPX4/SLC7A11 status, PE-OOH lipid signatures, and iron metrics) to stratify patients and monitor on-target versus off-target effects.
Ferroptosis in diabetic cardiomyopathy
Diabetic cardiomyopathy (DCM) stands as the cause of morbidity in diabetes, due to high levels of glucose, oxidative stress, and lipid peroxidation of cardiomyocytes (Lou et al., 2024). Studies in recent years have evaluated ferroptosis as an important front in the onset and development of mitochondrial dysfunction, iron overload takes place, and lipid metabolism gets altered (Song et al., 2024; Zhao et al., 2023b). Hyperglycemia-induced NOX activation, coupled with the impairment of mitochondrial antioxidant defense systems, leads to an increase in ROS generation, thereby driving the ACSL4-facilitated peroxidation of phospholipids. The ferroptotic cell death follows a loss in GPX4 activity, worsening myocardial injury and contractile dysfunction. Therapeutic strategies targeting ferroptosis have demonstrated cardioprotective potential in diabetic models (Fig. 5A; Wu et al., 2024). Curcumin and 6-gingerol activate the Nrf2/HO-1/GPX4 axis, enhancing cellular antioxidant capacity and reducing ferroptotic injury (Shahzad et al., 2025a; Yu et al., 2025). Canagliflozin, a sodium-glucose cotransporter-2 inhibitor, inhibits ferroptosis via activation of the AMPK/Nrf2 signaling pathway, thereby restoring redox balance as well as mitochondrial integrity (Du et al., 2022; Ma et al., 2023b). Recently, the FGF21-ATF4-ferritin axis has been identified as another defense mechanism that favors the stabilization of ferritin and sequestration of iron, preventing excessive lipid oxidation. Meanwhile, inhibition of zinc RNA ZFAS1 has been demonstrated to alleviate ferroptosis in asymptomatic dilated cardiomyopathy (DCM), thus revealing new epigenetic regulatory targets (Lou et al., 2024).

Ferroptosis in diabetic nephropathy, retinopathy, and foot ulcers
Being the top cause of chronic kidney failure, diabetic nephropathy (DN) is primarily glomerular-tubular injury mediated by ferroptotic-type signaling. Increased gene expression of ACSL4, PTGS2, and NOX1, coupled with weakened GPX4 activity in diabetic kidney, indicates enhanced ferroptotic activation (Fig. 5B; Li et al., 2023b; Mengstie et al., 2023). Inhibition of ferroptosis with Fer-1, dapagliflozin, or antioxidants like calycosin and ginkgolide B restores redox balance and controls iron transporters ZIP14 and SLC40A1, thereby improving renal function. Lipid peroxide accumulation is also ameliorated through the SIRT3-SOD2-GPX4 mitochondrial axis, a fine underscore on how mitochondrial redox regulation restrains diabetic renal damage (Wang et al., 2020b; Wu et al., 2022b). It is important to indicate that in diabetic retinopathy (DR), ferroptosis causes endothelial and retinal pigment epithelial cell death through degradation of GPX4, overexpression of ACSL4, and ubiquitination of antioxidant enzymes mediated by TRIM46 (Fig. 5C). Lipid peroxidation and autophagic dysregulation are exacerbated by the upregulation of FABP4 and GMFB, while PKCβII-ACSL4 signaling loop intensifies ferroptotic damage (He et al., 2023; Wang et al., 2024b). Ferroptosis can be delayed by antioxidants such as α-lipoic acid, chlorogenic acid, and BMSS309403 inhibitor, rescuing retinal redox balance and preserving visual function (Lu et al., 2024). In a parallel case, diabetic foot ulcers, characterized by defective angiogenesis and associated with a delayed wound healing process, undergo cell death via a ferroptotic manner (Fig. 5D). Either inhibition of this death by Fer-1 or activation of the PI3K/Akt pathway augments cell viability and tissue regeneration. Circular RNAs (circRNAs) packaged in bone marrow stromal cell-derived exosomes further exert inhibitory effects on ferroptosis through the activation of Nrf2 to promote vascular repair and epithelial regeneration (Jiang et al., 2025c; Wang et al., 2022b).
Ferroptosis-related biomarkers and therapeutic targets
The new potential ferroptosis markers in diabetes include increased serum ferritin, MDA, ACSL4, and decreased GPX4 activity, all correlating with the severity of the disease and organ dysfunction. Transcriptomic and proteomic analyses indicate upregulated TFRC, SLC7A11, and PTGS2, acting as molecular signatures of ferroptotic activation in diabetic tissues (Deng et al., 2023b; Yang and Yang, 2022). Targeting of these markers allows for the early detection and assessment of ferroptotic tissue injury. Multiple natural compounds and pharmacologic inhibitors are efficacious in therapy aimed at preventing ferroptosis. Quercetin, berberine, sulforaphane, and curcumin intensify GPX4 and Nrf2 signaling, whereas Fer-1, liproxstatin-1, and DFP scavenge lipid radicals or chelate iron. These contribute to redox homeostasis and reduce lipid peroxidation that would otherwise provide oxidative damage to pancreatic, cardiac, renal, and retinal tissue (Liu et al., 2022b; Ma et al., 2022a).
Therapeutic Targeting of Ferroptosis: Opportunities and Challenges
Therapeutic targeting of ferroptosis represents a rapidly expanding frontier in metabolic-disease modulation, particularly in cancer and diabetes. By manipulating iron metabolism, lipid peroxidation, and antioxidant defense pathways, ferroptosis-based interventions aim to restore redox balance and control pathological cell survival or death (Fig. 6 and Table 4). Understanding these molecular intersections offers new opportunities to develop redox-targeted therapies that address both tumor progression and metabolic dysfunction.

Additional Categories and Substances Involved in the Regulation of Ferroptosis
This table summarizes key regulatory molecules beyond classical ferroptosis pathways, grouped into functional categories including epigenetic modifiers, lipid peroxidation enzymes, mitochondrial redox modulators, iron regulatory proteins, small-molecule modulators, and autophagy-related components. Each entry details the molecular target and mechanism of action by which the substance modulates ferroptotic cell death. These regulatory pathways reflect the complex, context-dependent nature of ferroptosis and provide potential therapeutic targets across diverse pathological settings.
ACC, acetyl-CoA carboxylase; Acyl-CoA, acyl coenzyme A; ACSL4, acyl-CoA synthetase long-chain family member 4; AGPS, alkylglycerone phosphate synthase; ALOX12, arachidonate 12-lipoxygenase; ARF, alternate reading frame protein; ATF3/ATF4, activating transcription factor 3/4; BAP1, BRCA1-associated protein 1; BECN1, Beclin 1; CARS, cysteinyl-tRNA synthetase; CDO1, cysteine dioxygenase 1; CoQ10, coenzyme Q10 (ubiquinone); Deferoxamine, iron chelator (desferrioxamine); DPP4, dipeptidyl peptidase 4; FPN1, ferroportin 1 (SLC40A1); FSP1, ferroptosis suppressor protein 1; FTH, ferritin heavy chain; FTH1, ferritin heavy chain 1; GCL, glutamate–cysteine ligase; GCLC, glutamate–cysteine ligase catalytic subunit; GLS2, glutaminase 2; GOT1, glutamic–oxaloacetic transaminase 1; GPX4, glutathione peroxidase 4; GSH, glutathione; Hippo pathway, conserved signaling pathway regulating cell growth and apoptosis; iPLA2β, calcium-independent phospholipase A2 beta; LOX15/ALOX15, arachidonate 15-lipoxygenase; MCT1, monocarboxylate transporter 1; mTORC1, mechanistic target of rapamycin complex 1; MUFA, monounsaturated fatty acids; MVA, mevalonate pathway; NCOA4, nuclear receptor coactivator 4; NFS1, NFS1 cysteine desulfurase; NOX1, NADPH oxidase 1; NRF2, nuclear factor erythroid 2-related factor 2; OH-1 (HO-1), heme oxygenase 1; OTUB1, OTU deubiquitinase; ubiquitin aldehyde binding 1; PEBP1, phosphatidylethanolamine-binding protein 1; POR, cytochrome p450 oxidoreductase; PUFAs, polyunsaturated fatty acids; PUFA-ePLs, polyunsaturated ether phospholipids; PUFA-PLs, polyunsaturated fatty acid–phospholipids; SAT1, spermidine/spermine N1-acetyltransferase 1; SCD1, stearoyl-CoA desaturase 1; SLC1A5, solute carrier family 1 member 5; SLC7A11, solute carrier family 7 member 11; Sp1, specificity protein 1; SREBP1, sterol regulatory element-binding protein 1; TFAP2c, transcription factor AP-2 gamma; TFRC, transferrin receptor; VDAC2/3, voltage-dependent anion channel 2/3; Xc/System Xc−, cystine/glutamate antiporter (consisting of SLC7A11 and SLC3A2).
Drug development landscape: Ferroptosis inhibitors and inducers
Ferroptosis is a form of cell death influenced by redox processes, and it plays a dual role in therapy; preventing it can help cells withstand degenerative and ischemic conditions. So, considered among the new fronts of redox medicine could be pharmacological modulators of ferroptosis (Wang and Xie, 2025). Inhibitors of ferroptosis operate mainly at three mechanistic nodes: (i) inhibiting the system Xc−-GSH-GPX4 axis; (ii) promoting lipid peroxidation; and (iii) disturbing iron homeostasis. Typical ferroptosis inhibitors inhibit by removing the import of cystine through erastin, RSL3, and sorafenib. This inhibits GPX4 activity, depletes GSH, and stimulates lipid peroxidation. The ferroptosis inducers sorafenib (approved for hepatocellular and renal carcinoma) and sulfasalazine (used in rheumatoid arthritis), considered clinically relevant agents, act through mechanisms apart from their primary targets to foster ferroptosis, thus underscoring the translational potential of drug repurposing (Takatani-Nakase et al., 2024; Zheng et al., 2021a). Statins decrease mevalonate-derived isopentenyl pyrophosphate formation while impairing selenocysteine synthesis (Zhang et al., 2022b). This destabilizes GPX4 indirectly and sensitizes cancer cells to ferroptosis.
Conversely, ferroptosis inhibitors (ferrostatin-1, liproxstatin-1, and vitamin K hydroquinone) act as lipid RTAs that inhibit peroxidized phospholipid propagation. These inhibitors have been efficacious in ischemia/reperfusion injury, neurodegeneration, and diabetic organ-complication models (Du and Guo, 2022; Zhang et al., 2024a). Edaravone, an FDA-approved antioxidant used for ALS and stroke, is believed to suppress ferroptosis to exercise its clinical effects (Shi et al., 2024a). CuATSM, a similar copper-containing RTA, prevents lipid peroxidation and thus protects neurons in models of Parkinson’s disease (Tang et al., 2025b).
Targeting lipid metabolic enzymes has also been seen as a therapeutic opportunity. ACSL4 inhibitors (rosiglitazone, baicalin) prevent PUFAs from being incorporated into membranes and undergoing peroxidation and tissue injury (Ding et al., 2023; Fan et al., 2021). Inhibitors of ALOX5/12/15, such as zileuton and nordihydroguaiaretic acid, block enzymatic oxidation of lipids, thereby protecting neurons and kidneys (Zhang et al., 2025). In the iron axis, clinically used iron chelators, deferoxamine, deferiprone, and dexrazoxane, alleviate ferroptosis in metabolic and degenerative conditions (Chen et al., 2020). Thus, these constitute a druggable ferroptosis network, including lipid, iron, and redox metabolism, supporting therapeutic strategies that could either protect or kill in a cytotoxic manner.
Delivery systems and tissue-specific targeting
One major difficulty in achieving effective preclinical results is the low bioavailability of ferroptosis-focused drugs, compounded by off-target buildup and differences in redox conditions across the tissues. New nanocarrier-mediated delivery systems, such as lipid nanoparticles, polymeric micelles, and exosome-derived vesicles, are being designed to enhance pharmacokinetics and increase target specificity (Hou et al., 2025; Zhao et al., 2025). Iron oxide nanocarriers can selectively transport ferroptosis inducers to tumors with dysfunctional iron metabolism, enhancing oxidative stress in situ while protecting healthy tissue from systemic toxicity. By contrast, PEGylated nanoparticles and mitochondria-targeted liposomes loaded with ferrostatin-1 or CoQ10 analogs have proven successful in delivering ferroptosis inhibitors to susceptible organs such as the brain, heart, and kidneys. Such organ-targeted approaches can enhance therapeutic indices and abrogate blood–brain barrier restrictions in neurodegenerative models (Lin and Feng, 2025; Liu et al., 2024a; Sun et al., 2023a). Moreover, stimuli-dependent systems, that is, pH-, ROS-, and enzyme-sensitive nanocarriers, provide spatiotemporal induction or suppression of ferroptosis. Such intelligent formulations are likely to exploit context-dependent therapy by inducing ferroptosis within the TME, acidification, and iron enrichment while sparing healthy tissue. Because the redox landscape of every tissue governs its ferroptotic sensitivity, next-generation delivery platforms must be designed for metabolic imaging and redox mapping to provide for the personalized modulation of ferroptosis (Conrad et al., 2021; Wawrzeńczyk et al., 2025).
Biomarker discovery and diagnostic tools
For the translation of ferroptosis-targeted therapeutics, the potency of translation is constrained by the absence of reliable in vivo biomarkers that would distinguish ferroptosis from other modes of RCD. A much more advanced lipidomics, redox proteomics, and iron imaging approach has attempted to medication this problem (Wufuer et al., 2023; Zeng et al., 2023a). Potential biomarkers include malondialdehyde (MDA), 4-hydroxynonenal (4-HNE), and ACSL4 (as a lipid peroxidation driver) or even iron-handling proteins such as ferritin, transferrin receptor (TFRC), and ferroportin (FPN). Contemporary noninvasive tests trace ferroptosis-specific metabolites/lipid peroxidation by-products released into plasma, urine, or cerebrospinal fluid. MRI with iron-sensitive contrast agents, accompanied by fluorescent probes for labile Fe2+, enables the real-time observation of ferroptosis processes in vivo (Deng et al., 2022). New biosensors based on BODIPY-C11 or hydropersulfide-reactive fluorophores dynamically monitor lipid peroxidation flux in living cells. Integration of the multiomics data and pattern recognition technologies based on machine learning will lead to digital ferroptosis signatures, tying metabolite and gene expression patterns to specific disease states (Ficiarà et al., 2021; Tong et al., 2022b). Such signatures can then drive the creation of diagnostic companion tools for identifying those diseases driven by ferroptosis, stratifying patient populations, and selecting therapeutic regimes. They will find applications in oncology, diabetes, and neurodegenerative diseases (Li et al., 2022c).
Safety, specificity, and off-target effects
Despite the increasing therapeutic interest, specificity and safety still pestilence the development of ferroptosis-targeting drugs (Blomme et al., 2025). Numerous small molecules, such as erastin or RSL3, exhibit off-target generation of ROS and mitochondrial toxicity, thereby making it difficult to attribute mechanisms of death or risk profiles unequivocally. While liproxstatin-1 and other ferroptosis inhibitors are very potent, the cytochrome P450 enzymes and metabolism of drugs are also inhibited by these compounds. This gives considerable safety concerns when patients are taking an overdose of the drugs (Shirley, 2021; Zou and Schreiber, 2020). In addition, the application of iron-chelating therapies can cause anemia can be toxic to the kidneys or even become immunosuppressive with chronic use. Mechanistically, ferroptosis intersects with apoptosis, necroptosis, and pyroptosis through shared signaling components (e.g., Nrf2, p53, HO-1), making pathway-selective modulation difficult (Liu et al., 2024a; Shirley, 2021). In the future, more emphasis should be put on-target validation through genetic models and structure-guided drug design to confer greater selectivity. In parallel, the development of ferroptosis-specific molecular probes will remain crucial for dissecting redox-driven effects from general oxidative damage. Given that ferroptosis shares common signaling components also involved in apoptosis, necroptosis, and pyroptosis (such as Nrf2, p53, and HO-1), it increasingly makes modulation intended to be particular for a given pathway a much harder task (Dawi et al., 2025; Liu et al., 2024a). Thereby, the next endeavors must shift into the validation of anti-targets by using genetic models and on structure-aided drug design, resulting in more selective agents. To differentiate the effects of redox specificity from nonspecific oxidative injury, the parallel development of molecular probes for ferroptosis is going to be very crucial. These systems must also include redox balance, lipid flux, and iron metabolism, being envisaged through the systems pharmacology approach to ensure the translational safety and prediction of toxicity potential across organs. Most likely, combination approaches might titrate scenarios where the combination of ferroptosis inducers with antioxidant co-treatments, such as NAC or CoQ10, to establish better therapeutic openings (Wang et al., 2025a; Xu et al., 2025). Finally, actual clinical success will depend on the design of clinical-context-aware ferroptosis therapies, where either induction or inhibition is delicately controlled based on the tissue redox status, disease state, and patient-specific metabolic features.
The regulation of ferroptosis therapy is closely linked to high metabolic activity, redox processes, and pharmacology. The increasing use of small-molecule modulators of ferroptosis, enhanced by nanotechnology delivery systems and emerging diagnostic tools, anticipates the dawn of the delivery of redox medicine (Pope and Dixon, 2023; Wei et al., 2023). Thus, the clinical translation needs numerous details on the mode of action and dependable biomarkers through intimate knowledge of tissue-specific redox networks. Such modes of ferroptosis-targeted therapy discovery can be expedited via molecular design, exploitation of omics-driven discovery, and computational modeling from benchtop experimentation to bedside application in the fight against cancer, diabetes, or even other degenerative diseases (Zheng et al., 2021b).
Emerging Technologies and Future Directions
CRISPR-based gene editing for ferroptosis regulators
Ferroptosis regulators are being analyzed with pinpoint accuracy using the CRISPR-Cas9 genome editing system. Such technologies can be engaged in knocking out, activating, or altering at least one base of any gene involved in iron metabolism (TFRC, FTH1, FPN), lipid peroxidation (ACSL4, ALOX15), and antioxidant defense (GPX4, SLC7A11). Beyond known mediators, high-throughput CRISPR screening has also identified novel modulators like FSP1, GCH1, and DHODH involved in parallel to GPX4 in controlling redox homeostasis (Chen et al., 2022; Pan et al., 2024). Such a revelation and concomitant evidence are shifting the perception of ferroptosis into an antioxidant mechanism spread across multiple layers instead of being a single enzyme-dependent process.
Advanced methodologies based on CRISPR, such as CRISPRi/CRISPRa, will provide systemic dissection of gene networks regulating ferroptotic sensitivity in cancer and metabolic-disease model systems. Coupling CRISPR-based approaches with single-cell RNA-seq will allow for ferroptotic responses to be elucidated down to cell-type-specific responses and may even uncover heterogeneity in the TME. Furthermore, CRISPR-lipidomics integration will take this even further, providing the resolution to understand how altered phospholipid composition modulates ferroptosis thresholds so that ferroptosis-modifying therapeutics might be discovered faster.
Metabolomics and proteomics for ferroptosis pathway mapping
Omics technologies provide the whole mapping of ferroptosis at both protein and metabolite levels. Metabolomics provides a snapshot of metabolic reprogramming of the cell before ferroptosis, that is, GSH flux, NADPH flux, and PUFA metabolism. In addition, proteomic profiling indicates the adaptive enzyme changes, that is, those in ACSL4, LPCAT3, and GPX4, and oxidative post-translational modifications mediating ferroptotic signaling (Rodríguez-Graciani et al., 2022; Wang, 2024).
Multiomics profiling allowed the identification of distinct ferroptotic phenotypes in cancer, diabetes, and neurodegeneration, thereby uncovering disease-specific metabolic vulnerabilities. A synergistic combination of redox proteomics and iron trace-element imaging would be a thrilling quantitative look at labile iron pools and lipid peroxidation intermediates within subcellular compartments. The further processing of multiomics datasets through computational network modeling will also facilitate the prioritization of the tribes that regulate ferroptosis. Redox signaling can be putatively linked to metabolic flux and to organelle-specific stress responses at the systems level. These studies will be of utmost importance to biomarker discovery, early diagnosis, and pharmacodynamic monitoring of ferroptosis in the clinical setting.
Integration with artificial intelligence and machine learning for predictive modeling
Artificial intelligence and other forms of machine learning are considered advanced technologies. In fact, they are a toolkit used to analyze complex regulatory networks in ferroptosis. Machine learning techniques applied to large-scale datasets such as transcriptomics, metabolomics, and imaging can uncover previously unknown links between ferroptosis indicators and cell phenotypes in different disease contexts. Predictive deep learning neural networks, for example, in silico simulate ferroptosis induction and predict how the cells respond to drugs targeting ferroptosis (e.g., erastin, RSL3, sorafenib; Chen et al., 2024c; Cheng et al., 2024b; Huang et al., 2025b).
Incorporating AI-powered analytics into drug-discovery pipelines helps fast-track the identification of emerging ferroptosis modulators for the optimization of therapeutic combinations in light of probable off-target toxicity. For instance, structure-based ML-guided virtual screening has already identified some structural analogs of the GPX4 inhibitors having more selectivity and bioavailability. Alternatively, AI-powered image cytometry might offer real-time assessments of lipid peroxidation dynamics and consequently observe ferroptotic progression in live cells. The connection between such computational platforms and experimental models is going to entirely change the realm of redox medicine—from being merely descriptive biological investigation into predictive.
Personalized medicine approaches
On the clinical front of translation of advances in ferroptosis research, personalized redox medicine is considered the final goal. Patient-specific data from omics analyses reveal substantial interindividual differences in the ferroptotic response with variants in genes governing iron regulatory genes, lipid metabolic enzymes, and/or antioxidant pathways. This heterogeneity requires therapies targeting ferroptosis to be individualized based on metabolic and genomic backgrounds (Li et al., 2024b; Shi et al., 2024b).
Potentially, patient-derived organoids, iPSC models, and precision lipidomics offer the possibility to perform several ex vivo assays for ferroptosis inducers or inhibitors in human-relevant systems. Furthermore, ferroptosis-based biomarkers such as circulating ACSL4, 4-HNE, or MDA might well present diagnostics and prognostics for examples of redox imbalance in cancer and diabetes. Stratified biomarker profiling ought to subsequently be incorporated into future clinical trial designs to best predict treatment response and circumvent adverse effects. Personalized ferroptosis modulation might pave the way for metabolically guided cancer therapy and complication-specific diabetes treatment, eventually placing redox-targeting cures in the realm of precision medicine.
With treatment strategies focusing on manipulating ferroptosis, future research in this area is likely to move beyond basic understanding and toward real-world therapeutic developments over the next decade. Hence, ferroptosis shifts from its former status as an independent cell death pathway to the metaphoric “redox axis” mediating regulation in metabolic diseases, upon combining CRISPR-based gene editing, omics-based pathological mapping of pathways, AI-mediated prediction, and preexisting frameworks of personalized medicine. Addressing pathway selectivity, biomarker validation, and translational modeling will be at the top of the priority list. Embarking on ferroptosis as yet another therapeutic target will mark the inception of systems biology, computational sciences, and clinical pharmacology toward precision redox medicine.
Candidate markers to improve specificity for ferroptosis
It is suggested that the candidate markers to improve ferroptosis specificity should be used as a multiplexed panel rather than individually. The targeted PE-OOH species (oxidized phosphatidylethanolamines) are the most specific ones in the mechanism and should be measured by validated LC–MS/MS. The ACSL4 protein level or activity indicates the availability of PUFA-PL substrate and corresponds to sensitivity (Sae-Fung et al., 2022). The abundance and enzyme activity of GPX4, along with the GSH: GSSG ratio, indicate the antioxidant capacity as per the conventional definition. Markers of ferritinophagy and iron mobilization (NCOA4, TFRC, dynamic ferritin turnover, calibrated labile-iron probes) record the iron supply that is responsible for Fenton chemistry. Meanwhile, broad lipid-peroxidation readouts (MDA, 4-HNE) are nonspecific and therefore should be paired with selective oxylipin signatures (Hu et al., 2022c; Ma et al., 2022a). Functional rescue experiments have pointed to very strong evidence of the occurrence of ferroptosis, as the death was only prevented by lipophilic RTAs (like ferrostatin-1), but not by caspase inhibitors. One of the major limitations of this study was the need for strict and proper handling of samples for lipidomics, dynamic iron measures that vary by tissue, and the necessity of analytic standardization across labs. Hence, we recommend a tiered approach of (1) molecular panel (ACSL4, SLC7A11, GPX4, NCOA4/TFRC), (2) targeted lipidomics for PE-OOH and related oxylipins, and (3) standardized functional rescue assays. We also suggest embedding pre-analytical SOPs (Standard Operating Procedures) (rapid quench, antioxidant stabilization), and in cases where it is possible, adding spatial lipidomics or imaging mass spectrometry to capture tissue heterogeneity (Li et al., 2025b; Yunchu et al., 2023). This synergistic approach will offer the highest specificity and provide the most useful clinical application in differentiating ferroptosis from other redox processes.
Outstanding Controversies and Knowledge Gaps
The rapid advancements in research have not eliminated the fundamental issues that still act as bottlenecks in the biological understanding and clinical translation of ferroptosis. In the following, we present the main questions that are still open, the reasons they are significant, and suggestions for specific experimental and clinical methods to solve them.
Context-dependence of ferroptotic susceptibility
Ferroptosis sensitivity across different tissues, cancer types, cell differentiation stages, metabolism, and even microenvironment (e.g., oxygen, nutrients, and stroma) differs significantly. It is still uncertain whether a particular combination of characteristics (like high ACSL4, low SLC7A11, and increased labile iron) will always be the same for a “ferroptosis-susceptible” signature throughout different diseases (Wang et al., 2025e; Yan et al., 2023). To unravel this, we suggest that systematic, comparative experiments be conducted by using (i) isogenic cell lines with known oncogenic changes (such as RAS, MYC, and p53 variants) that are subjected to controlled metabolic shifts (such as changes in glucose, glutamine, or lipid supply); (ii) organoid and patient-derived xenograft models from various tumor types that are analyzed for lipid profile, iron status, and antioxidant networks; and (iii) single-cell multiomic approaches (e.g., scRNA-seq combined with lipidomics or spatial metabolomics) to reveal intratumor heterogeneity. These investigations will establish the conditions under which ferroptosis represents a genuine weakness of the tumor rather than merely a result of the specific environment or experimental conditions (Tatode et al., 2025).
Biomarker specificity and standardization
An important unmet requirement is now a validated need for precise biomarkers that can tell apart ferroptosis from other forms of cell death or general oxidation damage. The widely used readouts (MDA, 4-HNE) are not specific. The focused signatures like oxidized phosphatidylethanolamine species (PE-OOH) and the co-regulated expression of ACSL4/GPX4/SLC7A11 are promising, but they are not yet standardized and clinically validated (Chen et al., 2024b; Panczyszyn et al., 2024). We suggest a multitiered biomarker strategy: (i) analytical standardization of lipidomic assays (sample handling, internal standards) for PE-OOH species; (ii) orthogonal validation combining molecular markers (ACSL4, SLC7A11, GPX4 protein), functional pharmacology (rescue by ferrostatin-1/lipophilic RTAs ex vivo), and iron metrics (TFRC/ferritin dynamics); and (iii) pilot clinical correlative studies embedding these assays in early-phase trials to evaluate predictive and pharmacodynamic utility. Before biomarkers can be used to reliably select patients, agreement protocols and inter-laboratory ring trials will be vital.
Compensatory antioxidant networks and redundancy
Inhibition of a single ferroptosis pathway often results in the activation of the compensatory mechanism (for instance, upregulation of FSP1 occurs after GPX4 inhibition; reduction of CoQ in mitochondria occurs due to DHODH). The amount of contribution from the respective systems, such as FSP1/CoQ, DHODH, NADPH-dependent reductases, NOX/POR, is not clearly determined across the different tissues (Poltorack and Dixon, 2022; Punziano et al., 2024). To uncover the overlapping functions of these systems, it is necessary to conduct highly controlled experimentation that combines genetic and pharmacologic perturbation in relevant physiological models, such as through simultaneous knockdowns of GPX4 and FSP1 or by combining GPX4 inhibition with DHODH blockade and assessing the effects across different cell types and compartments in vivo. The acute inhibition followed by transcriptomic and metabolomic profiling at different time points would provide insights into compensatory responses and would help in identifying secondary vulnerabilities for rational combination therapy (Glibetic and Weichhaus, 2025).
Quantitative thresholds and dynamics of lethal lipid peroxidation
The area is devoid of numerical, physiologically relevant definitions for lipid-peroxide load, iron concentration, or NAD(P)H imbalance that unambiguously led to ferroptosis in vivo. To tackle this issue, the use of calibrated and quantitative assays is indispensable (absolute lipid-peroxide quantification through targeted MS, calibrated intracellular labile-iron probes, NADPH/NADP+ ratio measurements) in time-course experiments performed under physiological oxygen tension (Farmer et al., 2022; von Krusenstiern et al., 2023; Xing et al., 2024). The combination of live-cell imaging with genetically encoded redox reporters and single-cell lipidomics can determine if ferroptosis occurs randomly or is a result of reaching a certain threshold, and if temporary damage can be repaired in a clinical setting.
Translational safety, delivery, and therapeutic index
Since ferroptosis is reliant on essential redox chemistry, the whole-body induction might lead to undesired effects on the normal tissues (brain, heart, kidney, pancreatic islets). The preclinical safety profiling should not only consider acute toxicity but also include longer-term functional assays (cardiac/neurological function, glucose homeostasis) in immunocompetent models (Hao et al., 2023a; Luo et al., 2022). The methods for increasing the therapeutic index—such as tumor-targeted delivery (nanocarriers, prodrugs activated by tumor proteases), local administration, and temporally limited dosing combined with protective agents for sensitive tissues—should be given priority during lead optimization. Rigorous PK/PD, biodistribution, and multiplex biomarker panels to detect both on-target and off-target oxidative injury must be integrated into the early-phase clinical trials (Sun et al., 2023a; Yu et al., 2024b).
Immune consequences—friend or foe
Ferroptotic cells excrete oxidized lipids and DAMPs, which may act as immune activators in certain situations but as immune suppressors in others (e.g., dendritic-cell dysfunction due to lipid presence). To solve this dilemma, it is necessary to perform coculture and in vivo studies, where ferroptosis is induced along with thorough immune profiling done by single-cell immune phenotyping, cytokine panels, and antigen-presentation capacity (Ni et al., 2023b; Wu et al., 2022d; Zheng et al., 2023b). Preclinical combination studies should determine whether the induction of ferroptosis has a synergistic effect with checkpoint blockade or whether immune cell protection (with local antioxidants or selective rescue strategies) is necessary to maintain the antitumor immunity.
Clinical trial design and patient stratification
In the end, the progress of clinical translation relies on the well-thought-out and designed trials that involve biomarker-guided enrollment and adaptive endpoints. The first trials should target very specific patient populations with similar biological mechanisms (e.g., tumors with high ACSL4 and low SLC7A11; drug-resistant states) and choose window-of-opportunity or neoadjuvant designs that allow for the study of the drug’s effect on the tumor tissue (Gao et al., 2022a; Wu et al., 2022a). Trial designs that are adaptive with biomarker readouts will speed up the process of making go/no-go decisions and will also allow the early detection of signs of toxicity.
Conclusion
Ferroptosis has been recognized as the main type of redox-dependent cell death, which integrates iron metabolism, lipid metabolism, and antioxidant defenses to keep cellular homeostasis. Mechanistically, the ferroptosis pathway represents the unique intersection of metabolic reprogramming and redox imbalance, linking mitochondrial ROS generation, glutathione depletion, and phospholipid oxidation with cell fate decisions. This shows more of a metabolic distinction than the typical two that are mostly referenced. The decision of moving to apoptosis and necroptosis. Nutrient content, mitochondrial activity, pro-oxidants, and antioxidant networks strictly determine the sensitivity of ferroptosis. Recently, scientists have shown the bidirectional character of ferroptosis in human disease. In contrast to blocking mechanisms for resistance and immune evasion in cancer cells, thus permitting their targeted cells from ferroptosis activation, ferroptosis could also lead to organ dysfunction through oxidant injury and iron overload in metabolic diseases. This duality makes ferroptosis a causative factor of pathogenesis or an opportunity for intervention, depending upon the metabolic and redox backdrop.
The ferroptosis dimension, as a metabolic vulnerability in cancers, has been targeted for therapeutic interventions. Tumor cells that rewire their metabolism with increased glycolysis, glutamine dependence, and de novo lipid synthesis show exceptional susceptibility to ferroptosis stimuli. Drugs inducing ferroptosis through system Xc− inhibitors (e.g., erastin, sulfasalazine) or GPX4 inhibitors (e.g., RSL3, FIN56) offer the best opportunities in preclinical cancers, antedating others such as immune checkpoint inhibitors or radiotherapy. Another consequence of ferroptosis involves the release of oxidized lipids and DAMPs, causing a change in the tumor immune microenvironment, favoring increased CD8+ T cell infiltration and stronger antitumor immunity. Thus, induction of ferroptosis serves as a novel therapeutic pathway in precision oncology, notably concerning therapy-resistant tumors. In contrast, ferroptosis acts as a significant perpetrator of oxidative tissue injury in diabetes and its related metabolic consequences. Ferroptosis acts in pancreatic β-cells to worsen insulin deficiency through lipid peroxidation and GPX4 inactivation. Correspondingly, ferroptosis can cause cardiomyopathy, nephropathy, and retinopathy using the pathways of dysregulated Nrf2, mitochondrial redox imbalance, and iron deposition. Therapeutics preventing ferroptosis by suppressors such as ferrostatin-1, liproxstatin-1, sulforaphane, and quercetin work protectively in experimental models. These findings thus indicate that the modulation of ferroptosis could be a promising approach for curbing oxidative injury across several diabetic complications.
Indeed, major strides in their research have presented an experimental understanding of ferroptosis at the very beginning of clinical translation. Lacking markers is among the major barriers since some aspects of the biochemical pathway seen during ferroptosis can be seen in other oxidative types of cell death, and calling it ferroptosis in the absence of any distinguishing markers may be very difficult. Drugs that bear poor pharmacokinetics are these barriers against the application of ferroptosis mechanisms into targeted therapies for tissue- or disease-specific delivery. Hence, a combined cross-disciplinary and collaborative approach should be considered, integrating redox biology, systems pharmacology, computational modeling, and clinical sciences against the said challenges. Advanced experimental designs will involve CRISPR-based genome editing, multiomics integration (lipidomics, metabolomics, and proteomics), and AI predictive modeling to dissect ferroptotic networks in disease. Second, concerted effort among clinicians, pharmacologists, and bioengineers will guarantee targeted delivery systems design as well as real-time diagnostic tools for the assessment of ferroptosis in vivo. This will favor the comprehensive and mechanistically accepted building of ferroptosis, which will further extend redox homeostasis basic knowledge and practically advance the next generation of therapeutics. It is based on a double-target approach, planning both redox mechanisms and therapeutic interventions—inhibiting enormous potential to re-engineer treatments for diseases of oxidative randomness like cancer, diabetes, and other processes controlled by oxidative stress, providing validity to the new principles of precision redox medicine propagated by antioxidants and redox signaling.
Authors’ Contributions
Y.G. conceptualized the study topic and designed the review framework. Y.H. and Y.X. drafted the original article and prepared data visualizations. Q.Z. and Y.L. contributed to literature quality assessment and co-wrote the discussion section. Y.Z. revised the article for scientific rigor. Z.L., D.Z., and F.M. provided expertise in molecular mechanisms, critically reviewed the article for intellectual content, and supervised data interpretation. Y.G. oversaw project coordination, resolved author disagreements, finalized the article, and managed peer-review responses. N.Z. led the revision of the article in response to reviewers’ comments, drafted the revised content, and performed a comprehensive check of the entire article to ensure accuracy. All authors approved the submitted version.
Footnotes
Author Disclosure Statement
The authors have declared that no conflict of interest exists.
Funding Information
This study was supported by Start-up Fund for New Ph.D. Researchers of Suzhou Chien-Shiung Institute of Technology, the Taicang Basic Research Project (No.TC2023JCD11), Yunnan Fundamental Research Projects (202301AT070189, 202401AY070001-150), the Taicang Basic Research Project (Nos. TC2023JC35 and TC2024JC35), and the 2024 Taicang Basic Research Project (No. 68).
Data Availability
No datasets were generated or analyzed during the current study.
Consent for Publication
The authors confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. Written informed consent for publication was obtained from all participants.
