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The design and synthesis of a multifunctional covalent organic framework (COF) for various applications have been considered a big challenge. Herein, we report the construction of a novel porphyrin-based Au-acyclic diaminocarbene (Au-ADC)-linked COF (abbreviated as Au-ADC-Por-COF) via a metal-mediated nucleophilic addition reaction. The resultant multifunctional Au-ADC-Por-COF revealed an outstanding performance in a cascade catalyzing photocatalytic sulfide oxidation under visible-light irradiation and intermolecular nucleophilic addition. This research might open a new way for the design of advanced materials with unprecedented structures and catalytic activities. Show less

Ferroptosis is a unique cell death mode that relies on iron and lipid peroxidation (LPO) and is extensively utilized to treat drug-resistant tumor. However, like the other antitumor model, requirement of oxygen limited its application in treating the malignant tumors in anaerobic environments, just as photodynamic therapy, a very promising anticancer therapy. Here, we show that an iridium(III) complex (Ir-dF), which was often used in proton-coupled electron transport (PCET) process, can induce efficient cell death upon photo irradiation, which can be effectively protected by the typical ferroptosis inhibitor Fer-1 but not by the classic iron chelating agents and ROS scavengers. Surprisingly, LPO was further demonstrated to be directly induced by Ir-dF/light activation via PCET, by utilizing a model polyunsaturated fatty acid. Ir-dF was found to be accumulated preferentially in mitochondria and the endoplasmic reticulum (ER), leading to mitochondrial swelling and ER stress accompanied by obvious LPO accumulation and downregulation of the characteristic ferroptosis protein GPX4. More interestingly, Ir-dF was also found to induce photocytotoxicity under hypoxia, and an in vivo experiment further confirmed that Ir-dF can effectively inhibit the growth of tumor under two-photon laser irradiation. Taken together, for the first time, this article introduces a new mechanism of inducing the LPO through a photoactivated PCET process, leading to a ferroptosis-like cell death which is independent of the iron and oxygen. This innovative mechanism holds great potential as a future treatment option for hypoxic malignant tumors and drug-resistant tumors. Show less

Colorectal cancer (CRC) remains a significant global health challenge, ranking third in incidence and second in mortality among cancers worldwide. This review addresses the complex landscape of CRC, focusing on incidence, mortality trends, preventive strategies, and the evolving therapeutic approaches, particularly highlighting the role of platinum-based drugs like oxaliplatin (OXP). It also underscores the increasing burden of CRC, with factors such as westernized diets, aging populations, and genetic predispositions contributing to its prevalence. Therapeutically, early detection greatly enhances survival rates, emphasizing the importance of regular colonoscopies and stool tests. For advanced CRC, chemotherapy remains pivotal, with OXP as a cornerstone treatment despite its associated chemotherapy-induced peripheral neurotoxicity (CIPN). The review explores innovative strategies to overcome challenges related to chemotherapy, such as drug resistance and side effects, highlighting recent developments in the field, such as Pt(IV) prodrugs and immunotherapeutic approaches to enhance efficacy while minimizing toxicity. Additionally, this manuscript examines experimental models for drug screening, emphasizing the role of murine models and advanced 3D in vitro systems in CRC research. Overall, the review advocates for a comprehensive approach, integrating prevention, early detection, and personalized treatments to alleviate the global burden of CRC. Show less

BACKGROUND: Drug repositioning is a pivotal strategy in pharmaceutical research, offering accelerated and cost-effective therapeutic discovery. However, biomedical information relevant to drug repositioning is often complex, dispersed, and underutilized due to limitations in traditional extraction methods, such as reliance on annotated data and poor generalizability. Large language models (LLMs) show promise but face challenges such as hallucinations and interpretability issues. OBJECTIVE: This study proposed long chain-of-thought for drug repositioning knowledge extraction (LCoDR-KE), a lightweight and domain-specific framework to enhance LLMs' accuracy and adaptability in extracting structured biomedical knowledge for drug repositioning. METHODS: A domain-specific schema defined 11 entities (eg, drug, disease) and 18 relationships (eg, treats, is biomarker of). Following the established schema architecture, we constructed automatic annotation based on 10,000 PubMed abstracts via chain-of-thought prompt engineering. A total of 1000 expert-validated abstracts were curated into a drug repositioning corpus, a high-quality specialized corpus, while the remaining entries were allocated for model training purposes. Then, the proposed LCoDR-KE framework combined supervised fine-tuning of the Qwen2.5-7B-Instruct model with reinforcement learning and dual-reward mechanisms. Performance was evaluated against state-of-the-art models (eg, conditional random fields, Bidirectional Encoder Representations From Transformers, BioBERT, Qwen2.5, DeepSeek-R1, OpenBioLLM-70B, and model variants) using precision, recall, and F1-score. In addition, the convergence of the training method was assessed by analyzing performance progression across iteration steps. RESULTS: LCoDR-KE achieved an entity F1 of 81.46% (eg, drug 95.83%, disease 90.52%) and triplet F1 of 69.04%, outperforming traditional models and rivaling larger LLMs (DeepSeek-R1: entity F1=84.64%, triplet F1=69.02%). Ablation studies confirmed the contributions of supervised fine-tuning (8.61% and 20.70% F1 drop if removed) and reinforcement learning (6.09% and 14.09% F1 drop if removed). The training process demonstrated stable convergence, validated through iterative performance monitoring. Qualitative analysis of the model's chain-of-thought outputs showed that LCoDR-KE performed structured and schema-aware reasoning by validating entity types, rejecting incompatible relations, enforcing constraints, and generating compliant JSON. Error analysis revealed 4 main types of mistakes and challenges for further improvement. CONCLUSIONS: LCoDR-KE enhances LLMs' domain-specific adaptability for drug repositioning by offering an open-source drug repositioning corpus and a long chain-of-thought framework based on a lightweight LLM model. This framework supports drug discovery and knowledge reasoning while providing scalable, interpretable solutions applicable to broader biomedical knowledge extraction tasks. Show less

Flavins─one of nature's most ubiquitous organic cofactors─mediate proton and electron transfers in biological systems. Their heterocyclic (iso)alloxazine cores enable such reactivity through pronounced electro- and photochemical properties, as well as hydrogen bonding with surrounding residues. To harness these features in an organometallic context, we developed a redox-active, flavin-derived bidentate ligand (^allLH) that engages both primary and secondary coordination spheres. Coordination with Fe(II) yields an octahedral complex, (^allLH)₂FeX₂ (X = Cl, Br, OTf), stabilized by outer-sphere hydrogen bonds between the ligand and metal-bound (pseudo)halides. Upon deprotonation, ^allLH undergoes tautomerization to the isoalloxazine form (^isoL), generating a hydrogen-bonded aqua complex, (^isoL)₂Fe(OH₂)₂. Furthermore, treatment of (^allLH)₂FeCl₂ with cobaltocene triggers ligand tautomerization, affording [(^allLH)(^isoL)FeCl₂][CoCp₂] and highlighting the redox-responsive nature of the flavin scaffold. This work introduces a novel approach to repurpose flavin as a multifunctional ligand platform for constructing tunable coordination environments around transition metal centers, offering new opportunities in ligand design and bioinspired reactivity. Show less

In response to extreme electrode potentials, electroactive Geobacter sulfurreducens uses the inner-membrane cytochrome CbcBA as an energy dissipation gate, regulating the energy balance of the cell by decoupling carbon assimilation from electrode respiration. Show less

PT-112 is a novel small molecule exhibiting promising clinical activity in patients with solid tumors. PT-112 kills malignant cells by inhibiting ribosome biogenesis while promoting the emission of immunostimulatory signals. Accordingly, PT-112 is an authentic immunogenic cell death (ICD) inducer and synergizes with immune checkpoint inhibitors in preclinical models of mammary and colorectal carcinoma. Moreover, PT-112 monotherapy has led to durable clinical responses, some of which persisting after treatment discontinuation. Mitochondrial outer membrane permeabilization (MOMP) regulates the cytotoxicity and immunogenicity of various anticancer agents. Here, we harnessed mouse mammary carcinoma TS/A cells to test whether genetic alterations affecting MOMP influence PT-112 activity. As previously demonstrated, PT-112 elicited robust antiproliferative and cytotoxic effects against TS/A cells, which were preceded by the ICD-associated exposure of calreticulin (CALR) on the cell surface, and accompanied by the release of HMGB1 in the culture supernatant. TS/A cells responding to PT-112 also exhibited eIF2α phosphorylation and cytosolic mtDNA accumulation, secreted type I IFN, and exposed MHC Class I molecules as well as the co-inhibitory ligand PD-L1 on their surface. Acute cytotoxicity and HMGB1 release caused by PT-112 in TS/A cells were influenced by MOMP competence. Conversely, PT-112 retained antiproliferative effects and its capacity to drive type I IFN secretion as well as CALR, MHC Class I and PD-L1 exposure on the cell surface irrespective of MOMP defects. These data indicate a partial involvement of MOMP in the mechanisms of action of PT-112, suggesting that PT-112 is active across various tumor types, including malignancies with MOMP defects. Show less

We introduce ruthenosomes, a fusion of liposomal and reactive oxygen species (ROS)-generating properties meticulously engineered as potent ferroptosis inducers (FINs), marking a significant advancement in metallodrug design for cancer therapy. Formed through the self-assembly of oleate-conjugated ruthenium complexes, these ruthenosomes exhibit exceptional cellular uptake, selectively accumulating in mitochondria and causing substantial disruption. This targeted mitochondrial damage significantly elevates ROS levels, triggering autophagy and selectively activating ferritinophagy. Together, these processes sensitize cancer cells to ferroptosis. In vivo, ruthenosomes effectively suppress colorectal tumor growth, underscoring their therapeutic potential. Our study pioneers a design strategy that transforms ruthenium complexes into liposome-like structures capable of inducing ferroptosis independent of light activation. By leveraging ruthenosomes as multifunctional nanocarriers, this research offers a versatile and powerful platform for ROS-mediated, ferroptosis-driven cancer cell eradication. Show less

In the healthcare industry, the ever-increasing volume of clinical trial data presents challenges for ensuring drug safety and detecting adverse drug reactions (ADRs). This study aims to address the challenge of accurately detecting Serious Adverse Events (SAEs) in pharmacovigilance, a critical component in ensuring drug safety during and after clinical trials. The key problem lies in the underreporting and delayed detection of Adverse Drug Reactions (ADRs) due to the heterogeneous nature of medical data, class imbalance, and the limited scope of traditional monitoring techniques. This study proposes a hybrid AI-driven framework that integrates structured (e.g., patient demographics, lab results) and unstructured data (e.g., clinical notes) to detect ADRs using advanced deep learning and NLP methods. The objective is to outperform traditional signal detection methods and provide interpretable predictions to aid clinicians in real-time. By leveraging advanced Machine Learning (ML) and Deep Learning (DL) techniques, including Random Forests, Gradient Boosting Machines, and Convolutional Neural Networks (CNNs), our model aims to identify potential ADRs across different patient subgroups. Through meticulous feature engineering and the application of techniques to address data imbalance, our model demonstrates improved accuracy and interpretability in predicting ADRs. The CNN model achieved an accuracy of 85 %, outperforming traditional models, such as Logistic Regression (78 %) and Support Vector Machines (80 %). These findings suggest that specific demographic and clinical factors significantly influence the likelihood of adverse reactions, offering valuable insights for targeted monitoring and risk mitigation strategies[11]. This research underscores the potential of predictive modeling to enhance pharmacovigilance efforts and ensure safer clinical trial outcomes.•The research methodology includes a comparison of supervised learning algorithms, such as Logistic Regression, Random Forest, Gradient Boost, CNN, and genetic algorithms, to identify patterns and anomalies in clinical trial data. BERT and GPT, were also employed to provide the functionality of textual interactions over medical data.•Performance metrics such as accuracy, precision, recall, and F1-score were systematically applied to evaluate each model's performance. Among the models tested, the CNN model with BERT achieved the highest accuracy, providing valuable insights into the potential of deep learning for enhancing pharmacovigilance practices.•These findings suggest that an inclusion of diverse clinical data when supplied to advanced ML and NLP techniques can significantly improve the detection of ADRs, leading to better alignment with the fundamental principles of Good Clinical Practice (GCP). Show less

AuL4 triggers necroptosis and paraptosis in A549 cells. TLDR: AuL4 emerged as the most active compound, exhibited potent anticancer activity, triggering mitochondrial membrane depolarization and inducing necroptosis and paraptosis in human lung adenocarcinoma cells-a mechanism distinct from conventional apoptosis-inducing gold complexes. Show less

Abstract Transcription of ribosomal RNA (rRNA) by RNA Polymerase I (Pol I) is often upregulated in cancer to facilitate rapid cell growth and proliferation, and has emerged as a potential target for chemotherapeutic agents. BMH-21 and Pt(II) chemotherapeutic agent oxaliplatin are well documented as inhibitors of Pol I activity, however the underlying mechanisms for this inhibition are not completely understood. Here, we applied chromatin immunoprecipitation sequencing (ChIP-seq) techniques and immunofluorescence imaging to probe the influence of oxaliplatin and BMH-21 on Pol I machinery. We demonstrate oxaliplatin and BMH-21 induce early nucleolar stress leading to the formation of “nucleolar caps” containing Pol I and upstream binding factor (UBF) which corresponds with broad reductions in ribosomal DNA (rDNA) occupancy of Pol I. Distinct occupancy patterns for the two compounds are revealed in ChIP-seq experiments. Taken together, our findings suggest that in vivo, oxaliplatin does not induce Pol I inhibition via interrupting a specific step in Pol I transcription, while treatment with BMH-21 induced unique polymerase stalling at the promoter and terminator regions of the human ribosomal RNA gene. Show less

Caspases are critical regulators of cell death, development, innate immunity, host defense, and disease. Upon detection of pathogens, damage-associated molecular patterns, cytokines, or other homeostatic disruptions, innate immune sensors, such as NLRs, activate caspases to initiate distinct regulated cell death pathways, including non-lytic (apoptosis) and innate immune lytic (pyroptosis and PANoptosis) pathways. These cell death pathways are driven by specific caspases and distinguished by their unique molecular mechanisms, supramolecular complexes, and enzymatic properties. Traditionally, caspases are classified as either apoptotic (caspase-2, -3, -6, -7, -8, -9, and -10) or inflammatory (caspase-1, -4, -5, and -11). However, extensive data from the past decades have shown that apoptotic caspases can also drive lytic inflammatory cell death downstream of innate immune sensing and inflammatory responses, such as in the case of caspase-3, -6, -7, and -8. Therefore, more inclusive classification systems based on function, substrate specificity, or the presence of pro-domains have been proposed to better reflect the multifaceted roles of caspases. In this review, we categorize caspases into CARD-, DED-, and short/no pro-domain-containing groups and examine their critical functions in innate immunity and cell death, along with their structural and molecular mechanisms, including active site/exosite properties and substrates. Additionally, we highlight the emerging roles of caspases in cellular homeostasis and therapeutic targeting. Given the clinical relevance of caspases across multiple diseases, improved understanding of these proteins and their structure–function relationships is critical for developing effective treatment strategies. Show less

A fundamental biological mechanism, programmed cell death (PCD), is essential for tissue homeostasis, immunological control, and development. Its dysregulation is a characteristic of many diseases in multicellular organisms, including cancer, where unchecked proliferation is made possible by evading cell death. Therefore, one of the main tenets of contemporary anticancer therapies is the restoration or induction of PCD in cancer cells. One potential, least invasive method among these is photodynamic treatment (PDT). PDT uses light-activatable photosensitisers, which cause cancer cells to explode with reactive oxygen species (ROS) when exposed to light. These ROS harm important biomolecules, throw off the cellular redox equilibrium, and cause cells to die. PDT-induced cell death was previously believed to be mostly caused by autophagy, necrosis, or apoptosis. Recent research, however, has shown that it can trigger a wider range of unconventional cell death pathways. ROS can cause ferroptosis by oxidising membrane lipids, fragmenting DNA, and lowering intracellular glutathione (GSH) levels. Similarly, necroptosis or pyroptosis can result from severe oxidative stress activating death receptor signalling. Sometimes, in response, cells use survival strategies like autophagy, which can also lead to cell death. This review explores these new, unconventional methods of cell death and how PDT can be used to take advantage of them. Next-generation photosensitisers based on iridium (Ir), ruthenium (Ru), and rhenium (Re) complexes are given special attention because they provide deep tissue penetration, improved photostability, and adjustable ROS production. Their incorporation into PDT has revolutionary potential for improving cancer treatment precision and conquering therapeutic resistance. Show less

Academic Editor: Dooil Jeoung Received: 5 November 2025 Revised: 24 November 2025 Accepted: 26 November 2025 Published: 28 November 2025 Citation: Lee, J.; Roh, J.-L. Dihydroorotate Dehydrogenase in Mitochondrial Ferroptosis and Cancer Therapy. Cells 2025, 14, 1889. https://doi.org/10.3390/ cells14231889 Show less

Sassano et al. identify endoplasmic reticulum–mitochondria contact sites as the intracellular location where phospholipid peroxidation first occurs to promote ferroptosis. Manipulating these contact sites dictates ferroptosis sensitivity in breast cancer. Show less