Laryngeal squamous cell carcinoma (LSCC), a predominant subtype of head and neck squamous cell carcinoma (HNSCC), exhibits notably high incidence and mortality rates worldwide. Despite the common use of surgery and radiation, patients with advanced or metastatic disease often have poor 5-year survival outcomes. Hence, there is a strong necessity to devise new treatments for intervention purposes. Polyphenolic compounds, such as quercetin (Que), have shown promise in cancer treatment, but their clinical application is hindered by their low solubility and bioavailability. In this study, we successfully synthesized a novel class of carbon dots (CDs) utilizing Que molecules as precursors through a one-pot hydrothermal method, resulting in marked enhancements in solubility and bioavailability. The Que-CDs created demonstrated significant impacts on stopping the growth, migration, and invasion of TU686 cells, while also encouraging cell cycle arrest and apoptosis. Transcriptomics analysis further revealed alterations in cell cycle regulation and apoptosis-related pathways. Importantly, in vivo experiments validated the antitumor efficacy of Que-CDs without causing damage to vital organs. These findings suggest that Que-CDs represent a safe and efficacious anticancer therapy for laryngeal cancer, meriting further investigation to explore their potential in clinical applications.
{"title":"Carbon Quantum Dots Synthesized from Quercetin: A Novel Approach for Potentiating the Antitumor Activity against Laryngeal Cancer Cells.","authors":"Xiaohan Liu, Ying Zhao, Min Gao, Xin Bai, Zehui Xie, Biaofeng Shan, Luming Wu, Yan Gui, Yiqing Wang, Shuai Mu, Jianming Tang","doi":"10.1021/acs.bioconjchem.5c00622","DOIUrl":"https://doi.org/10.1021/acs.bioconjchem.5c00622","url":null,"abstract":"<p><p>Laryngeal squamous cell carcinoma (LSCC), a predominant subtype of head and neck squamous cell carcinoma (HNSCC), exhibits notably high incidence and mortality rates worldwide. Despite the common use of surgery and radiation, patients with advanced or metastatic disease often have poor 5-year survival outcomes. Hence, there is a strong necessity to devise new treatments for intervention purposes. Polyphenolic compounds, such as quercetin (Que), have shown promise in cancer treatment, but their clinical application is hindered by their low solubility and bioavailability. In this study, we successfully synthesized a novel class of carbon dots (CDs) utilizing Que molecules as precursors through a one-pot hydrothermal method, resulting in marked enhancements in solubility and bioavailability. The <b>Que-CDs</b> created demonstrated significant impacts on stopping the growth, migration, and invasion of TU686 cells, while also encouraging cell cycle arrest and apoptosis. Transcriptomics analysis further revealed alterations in cell cycle regulation and apoptosis-related pathways. Importantly, in vivo experiments validated the antitumor efficacy of <b>Que-CDs</b> without causing damage to vital organs. These findings suggest that <b>Que-CDs</b> represent a safe and efficacious anticancer therapy for laryngeal cancer, meriting further investigation to explore their potential in clinical applications.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p><p>The interaction mechanism between drugs and targets is a core topic of modern pharmaceutical research, and its precise analysis can not only significantly improve the efficiency of innovative drug development but also reveal the mechanism of interaction between active compounds and biomolecules. Currently, this field is facing a double challenge: on the one hand, the traditional experimental methods have a technical bottleneck of high time consumption and high cost; on the other hand, the existing computational models still have obvious limitations in terms of the comprehensiveness of feature characterization and the handling of data imbalance. In this context, new prediction methods based on machine learning are becoming an important technical path to break through the existing research dilemmas due to their superior computational efficiency and economic advantages. In this study, the Mol2Vec algorithm was used to extract features from SMILES representations of drug molecules, while the ProtBERT deep language model was applied to obtain high-dimensional features of protein sequences. To address the problem of high dimensionality and redundancy of protein sequence features, SHAP value analysis was innovatively introduced to achieve quantitative screening of feature importance, and the most judgmental 300-dimensional features were finally retained for modeling. To solve the challenge of sample category imbalance, the study designed an intelligent undersampling strategy based on fuzzy logic-fuzzy undersampling, which effectively constructs a balanced training data set. In terms of prediction model architecture, this study creatively complements the advantages of two integrated learning methods, XGBoost and random forest, and significantly improves the generalization ability of the model through an adaptive weighted fusion mechanism. In order to enhance the transparency of the model, the LIME interpretable analysis framework is specially integrated to provide an intuitive prediction basis from the perspective of local feature contribution, so that the decision-making process of the model is both scientific and traceable. The whole set of methodology systems ensures the prediction accuracy and realizes the optimization of the whole process from feature engineering to result interpretation. The integrated prediction model ProtFPreDTI constructed in this study demonstrated excellent performance in independent validation, with an area under the subject operating characteristic curve (AUC) of 0.92, which significantly improved the core metrics of prediction accuracy, sensitivity, and specificity compared with the traditional method. Through the innovative feature screening algorithm and multimodel fusion technology, the system effectively enhances the robustness of prediction and the ability of cross-data set generalization, providing a breakthrough solution for drug-target interaction research. The code and data sets related to this study are avai
{"title":"ProtFPreDTI: Drug-Target Interaction Prediction Study and LIME Interpretability Analysis Based on the ProtBERT Deep Language Model with Adaptive Fuzzy Sampling Strategy.","authors":"Yun Zuo, Xun Gu, Chen Zhang, Qiao Ning, Xiangrong Liu, Sisi Yuan","doi":"10.1021/acs.bioconjchem.5c00399","DOIUrl":"https://doi.org/10.1021/acs.bioconjchem.5c00399","url":null,"abstract":"<p><p>The interaction mechanism between drugs and targets is a core topic of modern pharmaceutical research, and its precise analysis can not only significantly improve the efficiency of innovative drug development but also reveal the mechanism of interaction between active compounds and biomolecules. Currently, this field is facing a double challenge: on the one hand, the traditional experimental methods have a technical bottleneck of high time consumption and high cost; on the other hand, the existing computational models still have obvious limitations in terms of the comprehensiveness of feature characterization and the handling of data imbalance. In this context, new prediction methods based on machine learning are becoming an important technical path to break through the existing research dilemmas due to their superior computational efficiency and economic advantages. In this study, the Mol2Vec algorithm was used to extract features from SMILES representations of drug molecules, while the ProtBERT deep language model was applied to obtain high-dimensional features of protein sequences. To address the problem of high dimensionality and redundancy of protein sequence features, SHAP value analysis was innovatively introduced to achieve quantitative screening of feature importance, and the most judgmental 300-dimensional features were finally retained for modeling. To solve the challenge of sample category imbalance, the study designed an intelligent undersampling strategy based on fuzzy logic-fuzzy undersampling, which effectively constructs a balanced training data set. In terms of prediction model architecture, this study creatively complements the advantages of two integrated learning methods, XGBoost and random forest, and significantly improves the generalization ability of the model through an adaptive weighted fusion mechanism. In order to enhance the transparency of the model, the LIME interpretable analysis framework is specially integrated to provide an intuitive prediction basis from the perspective of local feature contribution, so that the decision-making process of the model is both scientific and traceable. The whole set of methodology systems ensures the prediction accuracy and realizes the optimization of the whole process from feature engineering to result interpretation. The integrated prediction model ProtFPreDTI constructed in this study demonstrated excellent performance in independent validation, with an area under the subject operating characteristic curve (AUC) of 0.92, which significantly improved the core metrics of prediction accuracy, sensitivity, and specificity compared with the traditional method. Through the innovative feature screening algorithm and multimodel fusion technology, the system effectively enhances the robustness of prediction and the ability of cross-data set generalization, providing a breakthrough solution for drug-target interaction research. The code and data sets related to this study are avai","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145958388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-13DOI: 10.1021/acs.bioconjchem.5c00514
Wendi Huo, Yaqi Jiang, Wencong Zhao, Liyuan Xue, Panpan Ruan, Kaidi Luo, Xiaofei Huang, Yunhao Ren, Xueyun Gao, Kai Cao
Mitochondrial dysregulation, represented by both imbalanced mitochondrial dynamics and dysfunction, has been found as a key driver of cell transformation and tumorigenesis due to enhanced apoptotic priming and genotoxic stress. The mitochondrial unfolded protein response (UPRmt) represents a protective mechanism that maintains mitochondrial function under mitochondrial damage, making it an attractive target for restoring mitochondrial homeostasis and preventing tumorigenesis. Here, we report an ultrasmall glutathione (GSH)-protected gold nanoparticle (GGNP) that exhibits mitochondrial presence. When mitochondria are damaged by various genotoxic insults, GGNP dramatically activates UPRmt and improves mitochondrial function without altering mitochondrial dynamics. As a result, GGNP significantly attenuates DNA damage and apoptosis, leading to the prevention of malignant transformation in vitro. More importantly, in a spontaneous lung cancer model, GGNP significantly delays tumorigenesis with reduced DNA damage and cell death within lung tissue without causing systemic toxicity. These findings not only reveal the role of UPRmt in tumorigenesis but also identify GGNP as a biocompatible nanomaterial that effectively modulates UPRmt to alleviate mitochondrial stress responses and thus acts as a broad-spectrum genotoxicity mitigator to offer a promising strategy for cancer prevention.
{"title":"Manipulating the Mitochondrial Unfolded Protein Response for Broad-Spectrum Genotoxicity Mitigation and Tumorigenesis Suppression by Ultrasmall Gold Nanoparticles.","authors":"Wendi Huo, Yaqi Jiang, Wencong Zhao, Liyuan Xue, Panpan Ruan, Kaidi Luo, Xiaofei Huang, Yunhao Ren, Xueyun Gao, Kai Cao","doi":"10.1021/acs.bioconjchem.5c00514","DOIUrl":"https://doi.org/10.1021/acs.bioconjchem.5c00514","url":null,"abstract":"<p><p>Mitochondrial dysregulation, represented by both imbalanced mitochondrial dynamics and dysfunction, has been found as a key driver of cell transformation and tumorigenesis due to enhanced apoptotic priming and genotoxic stress. The mitochondrial unfolded protein response (UPR<sup>mt</sup>) represents a protective mechanism that maintains mitochondrial function under mitochondrial damage, making it an attractive target for restoring mitochondrial homeostasis and preventing tumorigenesis. Here, we report an ultrasmall glutathione (GSH)-protected gold nanoparticle (GGNP) that exhibits mitochondrial presence. When mitochondria are damaged by various genotoxic insults, GGNP dramatically activates UPR<sup>mt</sup> and improves mitochondrial function without altering mitochondrial dynamics. As a result, GGNP significantly attenuates DNA damage and apoptosis, leading to the prevention of malignant transformation in vitro. More importantly, in a spontaneous lung cancer model, GGNP significantly delays tumorigenesis with reduced DNA damage and cell death within lung tissue without causing systemic toxicity. These findings not only reveal the role of UPR<sup>mt</sup> in tumorigenesis but also identify GGNP as a biocompatible nanomaterial that effectively modulates UPR<sup>mt</sup> to alleviate mitochondrial stress responses and thus acts as a broad-spectrum genotoxicity mitigator to offer a promising strategy for cancer prevention.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A fluorinated, disulfide-cross-linked polyplex platform (PFND) was developed for safe and potent cytosolic delivery of siRNA. Branched PEI (25 kDa) was first perfluoro-acylated to yield a membrane-zipper PF backbone, followed by orthogonal installation of azide (PF-N3) and strained alkyne (PF-DBCO) handles that undergo in situ copper-free click cross-linking in the presence of siRNA. The resulting 60 nm polyplexes (PDI < 0.1, ζ potential of approximately +22 mV) are stable in 10 mg mL–1 heparin (<5% siRNA leakage) yet quantitatively disassemble within 60 min in 10 mM glutathione, liberating the siRNA payloads. Compared with the commercial gold standard of Lipofectamine 3000, PFND delivers 2- to 3-fold more Cy5-siRNA into HeLa, HepG2, and MDA-MB-468 cells without detectable hemolysis or cytotoxicity. Consequently, 10 nM siGAPDH delivered by PFND silences approximately 93–98% of GAPDH mRNA across the three lines, remarkably outperforming gold-standard transfection reagents. The proposed reversible “locked-outside/labile-inside” design reconciles extracellular stability with rapid intracellular release, offering a valid tool for utilities of high-throughput siRNA screening or subject to be developed further for potential clinical translation of RNAi-based therapeutics.
{"title":"“Zip-to-Cytosol”: Glutathione-Cleavable Fluorinated Polyplexes Deliver siRNA at Single-Digit Nanomolar Dose with >90% Gene Silencing","authors":"Yue Wang, , , Jingyi Wang, , , Hongyan Cui, , , Liuwei Zhang, , , Ruohan Zhao, , , Zhongwang Liu, , , Qian Zhong, , , Xin Wang, , , Yaojie Wang, , , Qixian Chen*, , , Haining Yu*, , and , Yan Zhao*, ","doi":"10.1021/acs.bioconjchem.5c00554","DOIUrl":"10.1021/acs.bioconjchem.5c00554","url":null,"abstract":"<p >A fluorinated, disulfide-cross-linked polyplex platform (PFND) was developed for safe and potent cytosolic delivery of siRNA. Branched PEI (25 kDa) was first perfluoro-acylated to yield a membrane-zipper PF backbone, followed by orthogonal installation of azide (PF-N<sub>3</sub>) and strained alkyne (PF-DBCO) handles that undergo in situ copper-free click cross-linking in the presence of siRNA. The resulting 60 nm polyplexes (PDI < 0.1, ζ potential of approximately +22 mV) are stable in 10 mg mL<sup>–1</sup> heparin (<5% siRNA leakage) yet quantitatively disassemble within 60 min in 10 mM glutathione, liberating the siRNA payloads. Compared with the commercial gold standard of Lipofectamine 3000, PFND delivers 2- to 3-fold more Cy5-siRNA into HeLa, HepG2, and MDA-MB-468 cells without detectable hemolysis or cytotoxicity. Consequently, 10 nM siGAPDH delivered by PFND silences approximately 93–98% of GAPDH mRNA across the three lines, remarkably outperforming gold-standard transfection reagents. The proposed reversible “locked-outside/labile-inside” design reconciles extracellular stability with rapid intracellular release, offering a valid tool for utilities of high-throughput siRNA screening or subject to be developed further for potential clinical translation of RNAi-based therapeutics.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":"37 1","pages":"160–168"},"PeriodicalIF":3.9,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145948207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Redirecting endogenous antibodies toward tumor cells through rationally designed antibody-recruiting molecules (ARMs) has emerged as a promising strategy in cancer immunotherapy. However, current ARMs face inherent limitations, as they primarily depend on hapten-specific antibodies, which exhibit heterogeneity across populations and exist at suboptimal physiological concentrations. In this study, we explored the feasibility of leveraging Hepatitis B virus (HBV) vaccine-induced anti-HBV surface antigen (HBsAg) antibodies for cancer therapy. We developed a series of nanobody-peptide conjugates comprising an EGFR-targeting nanobody covalently linked to the LOOP2 peptide─an immunodominant epitope of HBsAg, through varying-length PEG spacers. The results demonstrated that these conjugates were capable of recruiting vaccine-induced anti-HBsAg antibodies onto the cancer cell surface and evoking potent antibody-dependent cell-mediated phagocytosis (ADCP) and complement-dependent cytotoxicity (CDC) for cell elimination. Interestingly, structure–activity relationship studies revealed that the PEG spacer had a minimal impact on ADCP efficacy, while it significantly affected CDC function. This proof-of-concept study establishes a novel paradigm for ARM-based therapeutics that leverages population-wide immunity from routine vaccination programs, thereby circumventing key limitations associated with the hapten-dependent system.
{"title":"Chemoenzymatic Synthesis of Nanobody-Peptide Conjugates Capable of Harnessing HBV Vaccine-Induced Antibodies for Cancer Immunotherapy","authors":"Haofei Hong, , , Zijiang Zhang, , , Zheng Wang, , , Zongqin Zhang, , , Linpei Zhang, , and , Zhimeng Wu*, ","doi":"10.1021/acs.bioconjchem.5c00413","DOIUrl":"10.1021/acs.bioconjchem.5c00413","url":null,"abstract":"<p >Redirecting endogenous antibodies toward tumor cells through rationally designed antibody-recruiting molecules (ARMs) has emerged as a promising strategy in cancer immunotherapy. However, current ARMs face inherent limitations, as they primarily depend on hapten-specific antibodies, which exhibit heterogeneity across populations and exist at suboptimal physiological concentrations. In this study, we explored the feasibility of leveraging Hepatitis B virus (HBV) vaccine-induced anti-HBV surface antigen (HBsAg) antibodies for cancer therapy. We developed a series of nanobody-peptide conjugates comprising an EGFR-targeting nanobody covalently linked to the LOOP2 peptide─an immunodominant epitope of HBsAg, through varying-length PEG spacers. The results demonstrated that these conjugates were capable of recruiting vaccine-induced anti-HBsAg antibodies onto the cancer cell surface and evoking potent antibody-dependent cell-mediated phagocytosis (ADCP) and complement-dependent cytotoxicity (CDC) for cell elimination. Interestingly, structure–activity relationship studies revealed that the PEG spacer had a minimal impact on ADCP efficacy, while it significantly affected CDC function. This proof-of-concept study establishes a novel paradigm for ARM-based therapeutics that leverages population-wide immunity from routine vaccination programs, thereby circumventing key limitations associated with the hapten-dependent system.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":"37 1","pages":"11–19"},"PeriodicalIF":3.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145909574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1021/acs.bioconjchem.5c00461
Connor Livingstone, , , Simon Nicolle*, , , Gavin Jones, , and , Craig Jamieson,
The preparation of antibody drug conjugates (ADC) most often relies on a linear sequence to elaborate the small molecule component, followed by a final bioconjugation step to attach it to its immunoglobulin partner. This linear and iterative approach is incompatible with expedient parallel synthesis and process automation. Here, we describe the design and implementation of a general modular platform for the assembly of ADCs that enables facile variation in the nature of the payload, the linker composition, and the type of bioconjugation technique used. A library of antibody conjugates bringing together several different antibodies and payloads was prepared in a convergent fashion using a range of conjugation methods, as well as cleavable or noncleavable linker technology. Aside from offering a direct comparison of different conjugation method performances, this approach enables a more targeted optimization strategy of conjugate properties by deconvoluting bioconjugation and payload attachment.
{"title":"A Modular and Convergent “Stick and Click” Conjugation Platform Enables Fast Antibody Conjugate Library Synthesis","authors":"Connor Livingstone, , , Simon Nicolle*, , , Gavin Jones, , and , Craig Jamieson, ","doi":"10.1021/acs.bioconjchem.5c00461","DOIUrl":"10.1021/acs.bioconjchem.5c00461","url":null,"abstract":"<p >The preparation of antibody drug conjugates (ADC) most often relies on a linear sequence to elaborate the small molecule component, followed by a final bioconjugation step to attach it to its immunoglobulin partner. This linear and iterative approach is incompatible with expedient parallel synthesis and process automation. Here, we describe the design and implementation of a general modular platform for the assembly of ADCs that enables facile variation in the nature of the payload, the linker composition, and the type of bioconjugation technique used. A library of antibody conjugates bringing together several different antibodies and payloads was prepared in a convergent fashion using a range of conjugation methods, as well as cleavable or noncleavable linker technology. Aside from offering a direct comparison of different conjugation method performances, this approach enables a more targeted optimization strategy of conjugate properties by deconvoluting bioconjugation and payload attachment.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":"37 1","pages":"40–51"},"PeriodicalIF":3.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.bioconjchem.5c00461","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145909534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1021/acs.bioconjchem.5c00506
Katie Gristwood, , , Saimir Luli, , , Helen J Blair, , , Kenneth S. Rankin, , and , James C. Knight*,
Secondary Cerenkov-induced fluorescence imaging (SCIFI) utilizes blue-weighted Cerenkov luminescence from radioactive decay to excite proximal fluorophores that emit near-infrared light with optimal penetrance through biological tissues and offers potential utility in clinical imaging applications, including guidance of surgical resection. Recently, we developed a self-excitatory immunoSCIFI probe based on an antibody modified with the Cerenkov luminescence generating radioisotope zirconium-89 and a near-infrared boron-dipyrromethene dye (BOD665) and observed an immunoSCIFI signal in in vitro cell-based experiments. In this study, we have evaluated the in vivo application of immunoSCIFI using a clinically relevant orthotopic mouse model of dedifferentiated chondrosarcoma as a reproducible, high contrast setting in which to challenge the optical method under bone and soft tissue attenuation. Herein, we report the synthesis, characterization, preclinical imaging, and ex vivo biodistribution analysis of a novel immunoSCIFI probe, [89Zr]Zr-DFO-MT1-MMP-BOD665, based on a murine monoclonal immunoglobulin G (IgG) with high binding specificity for the sarcoma biomarker MT1-MMP. Both in vivo imaging and ex vivo data indicated significantly higher total uptake and femur-to-muscle ratios in the inoculated femurs with high MT1-MMP expression relative to contralateral femurs. These preliminary findings establish that antibody-mediated SCIFI can operate in vivo with favorable signal-to-background performance under physiologically relevant photon attenuation. The study therefore provides a methodological foundation for future SCIFI probes, for which rigorous specificity testing and broader biomarker panels will be pursued separately.
{"title":"In Vivo Evaluation of a Self-Excitatory Near-Infrared ImmunoSCIFI Probe","authors":"Katie Gristwood, , , Saimir Luli, , , Helen J Blair, , , Kenneth S. Rankin, , and , James C. Knight*, ","doi":"10.1021/acs.bioconjchem.5c00506","DOIUrl":"10.1021/acs.bioconjchem.5c00506","url":null,"abstract":"<p >Secondary Cerenkov-induced fluorescence imaging (SCIFI) utilizes blue-weighted Cerenkov luminescence from radioactive decay to excite proximal fluorophores that emit near-infrared light with optimal penetrance through biological tissues and offers potential utility in clinical imaging applications, including guidance of surgical resection. Recently, we developed a self-excitatory immunoSCIFI probe based on an antibody modified with the Cerenkov luminescence generating radioisotope zirconium-89 and a near-infrared boron-dipyrromethene dye (BOD665) and observed an immunoSCIFI signal in <i>in vitro</i> cell-based experiments. In this study, we have evaluated the <i>in vivo</i> application of immunoSCIFI using a clinically relevant orthotopic mouse model of dedifferentiated chondrosarcoma as a reproducible, high contrast setting in which to challenge the optical method under bone and soft tissue attenuation. Herein, we report the synthesis, characterization, preclinical imaging, and <i>ex vivo</i> biodistribution analysis of a novel immunoSCIFI probe, [<sup>89</sup>Zr]Zr-DFO-MT1-MMP-BOD665, based on a murine monoclonal immunoglobulin G (IgG) with high binding specificity for the sarcoma biomarker MT1-MMP. Both <i>in vivo</i> imaging and <i>ex vivo</i> data indicated significantly higher total uptake and femur-to-muscle ratios in the inoculated femurs with high MT1-MMP expression relative to contralateral femurs. These preliminary findings establish that antibody-mediated SCIFI can operate <i>in vivo</i> with favorable signal-to-background performance under physiologically relevant photon attenuation. The study therefore provides a methodological foundation for future SCIFI probes, for which rigorous specificity testing and broader biomarker panels will be pursued separately.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":"37 1","pages":"93–99"},"PeriodicalIF":3.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acs.bioconjchem.5c00506","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145916242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prostate-specific membrane antigen (PSMA) is a critical biomarker for prostate cancer. While current radiotracers like [68Ga]Ga-PSMA-11 are clinically useful, enhancing tumor uptake and contrast remains a goal. Capitalizing on PSMA's enzymatic hydrolysis of folate polyglutamates, we report the design, synthesis, and biological evaluation of a novel heterobivalent PSMA-targeted radiotracer, [68Ga]Ga-FA-PSMA. In vitro experiments revealed a significantly enhanced binding affinity of FA-PSMA for human PSMA (KD = 3.268 nM) compared to PSMA-11 (KD = 47.88 nM) and free FA (KD = 424.3 nM). In vivo micro-PET/CT imaging and biodistribution studies in PSMA-positive (22RV1) xenograft models demonstrated superior performance over [68Ga]Ga-PSMA-11. [68Ga]Ga-FA-PSMA exhibited significantly higher peak tumor SUVmax (1.06 ± 0.09 vs 0.80 ± 0.08 at 210 min p.i.) and tumor accumulation (2.74 ± 0.40 vs 1.75 ± 0.74 %ID/g at 2 h p.i.), alongside significantly enhanced tumor-to-background ratios, particularly tumor-to-blood (10.41 ± 3.41 vs 2.11 ± 0.89) and tumor-to-muscle (10.07 ± 0.73 vs 6.03 ± 1.33) at 2 h p.i. Furthermore, [68Ga]Ga-FA-PSMA demonstrated reduced renal uptake (30.80 ± 8.54 vs 38.71 ± 9.72 %ID/g at 2 h p.i.), high in vitro stability, and favorable hydrophilicity (LogP = -3.76). These findings demonstrate that the novel heterobivalent tracer [68Ga]Ga-FA-PSMA offers significantly enhanced PSMA-targeting affinity, tumor uptake, and imaging contrast compared to the clinical standard, validating the FA-conjugation strategy and positioning it as a highly promising next-generation diagnostic agent for precise prostate cancer imaging.
前列腺特异性膜抗原(PSMA)是前列腺癌的重要生物标志物。虽然目前的放射性示踪剂如[68Ga]Ga-PSMA-11在临床上是有用的,但增强肿瘤摄取和造影剂仍然是一个目标。利用PSMA酶解叶酸多谷氨酸,我们报道了一种新型异二价PSMA靶向放射性示踪剂[68Ga]Ga-FA-PSMA的设计、合成和生物学评价。与PSMA-11 (KD = 47.88 nM)和游离FA (KD = 424.3 nM)相比,FA-PSMA对人PSMA的结合亲和力(KD = 3.268 nM)显著增强。psma阳性(22RV1)异种移植模型的体内微pet /CT成像和生物分布研究表明,[68Ga]Ga-PSMA-11的表现优于[68Ga]Ga-PSMA-11。ga [68] Ga-FA-PSMA表现出峰值明显高于肿瘤SUVmax(1.06±0.09 vs 0.80±0.08在210分钟p。)和肿瘤积累(2.74±0.40 vs 1.75±0.74% ID / g (2 h p。),与显著增强tumor-to-background比率,特别是tumor-to-blood(10.41±3.41 vs 2.11±0.89)和tumor-to-muscle(10.07±0.73 vs 6.03±1.33)2 h p。此外,ga [68] Ga-FA-PSMA证明减少肾吸收(30.80±8.54 vs 38.71±9.72% ID / g (2 h p。),体外稳定性高,亲水性好(LogP = -3.76)。这些研究结果表明,与临床标准相比,新型异二价示踪剂[68Ga]Ga-FA-PSMA具有显著增强的psma靶向亲和力、肿瘤摄取和成像对比度,验证了fa -偶联策略,并将其定位为极具前景的下一代前列腺癌精确成像诊断试剂。
{"title":"Development and Evaluation of [<sup>68</sup>Ga]Ga-FA-PSMA: A Folic Acid-Conjugated PSMA-Targeting Radiotracer for Enhanced PET Imaging of Prostate Cancer.","authors":"Yukai Zhang, Qingyu Zhang, Jingye Li, Bowu Zhang, Jianjun Liu, Cheng Wang","doi":"10.1021/acs.bioconjchem.5c00597","DOIUrl":"https://doi.org/10.1021/acs.bioconjchem.5c00597","url":null,"abstract":"<p><p>Prostate-specific membrane antigen (PSMA) is a critical biomarker for prostate cancer. While current radiotracers like [<sup>68</sup>Ga]Ga-PSMA-11 are clinically useful, enhancing tumor uptake and contrast remains a goal. Capitalizing on PSMA's enzymatic hydrolysis of folate polyglutamates, we report the design, synthesis, and biological evaluation of a novel heterobivalent PSMA-targeted radiotracer, [<sup>68</sup>Ga]Ga-FA-PSMA. In vitro experiments revealed a significantly enhanced binding affinity of FA-PSMA for human PSMA (<i>K</i><sub>D</sub> = 3.268 nM) compared to PSMA-11 (<i>K</i><sub>D</sub> = 47.88 nM) and free FA (<i>K</i><sub>D</sub> = 424.3 nM). In vivo micro-PET/CT imaging and biodistribution studies in PSMA-positive (22RV1) xenograft models demonstrated superior performance over [<sup>68</sup>Ga]Ga-PSMA-11. [<sup>68</sup>Ga]Ga-FA-PSMA exhibited significantly higher peak tumor SUV<sub>max</sub> (1.06 ± 0.09 vs 0.80 ± 0.08 at 210 min p.i.) and tumor accumulation (2.74 ± 0.40 vs 1.75 ± 0.74 %ID/g at 2 h p.i.), alongside significantly enhanced tumor-to-background ratios, particularly tumor-to-blood (10.41 ± 3.41 vs 2.11 ± 0.89) and tumor-to-muscle (10.07 ± 0.73 vs 6.03 ± 1.33) at 2 h p.i. Furthermore, [<sup>68</sup>Ga]Ga-FA-PSMA demonstrated reduced renal uptake (30.80 ± 8.54 vs 38.71 ± 9.72 %ID/g at 2 h p.i.), high in vitro stability, and favorable hydrophilicity (Log<i>P</i> = -3.76). These findings demonstrate that the novel heterobivalent tracer [<sup>68</sup>Ga]Ga-FA-PSMA offers significantly enhanced PSMA-targeting affinity, tumor uptake, and imaging contrast compared to the clinical standard, validating the FA-conjugation strategy and positioning it as a highly promising next-generation diagnostic agent for precise prostate cancer imaging.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145916199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Small-molecule immune modulators offer a promising alternative to biologics, such as antibodies, for cancer immunotherapy. A key example is the TLR7 agonist imiquimod (IMQ), which has already been approved for the treatment of various dermatological malignancies. Nevertheless, the clinical use of IMQ is limited to tumors amenable to topical application, as its systemic administration poses a high risk of severe inflammatory toxicity due to the widespread expression of TLRs. Therefore, to extend the use of TLR7 agonists to the treatment of other solid tumor types, we developed a β-glucuronidase-responsive albumin-binding prodrug designed for the selective delivery of IMQ within the tumor microenvironment. This prodrug masks IMQ’s immunogenicity, allowing for its administration in immunocompetent mice without eliciting the systemic side effects associated with TLR7 agonists. However, the β-glucuronidase-catalyzed prodrug activation enables the selective, tumor site-specific release of IMQ, thereby restoring its biological activities. This controlled delivery promotes M1 macrophage polarization, T cell activation, and an increase in IgG levels exclusively within malignant tissues without affecting the healthy organs that are sensitive to TLR7 agonists. This study demonstrates that targeting tumor microenvironment specificities represents a promising approach for developing selective cancer immunotherapies based on small-molecule immune modulators.
{"title":"An Enzyme-Responsive Imiquimod Prodrug for Precision Immune Activation within the Tumor Microenvironment","authors":"Elsa Cannoni, , , Israa Al Jamal, , , Rony Eid, , , Rémi Châtre, , , Pauline Poinot, , , Isabelle Opalinski*, , and , Sébastien Papot*, ","doi":"10.1021/acs.bioconjchem.5c00541","DOIUrl":"10.1021/acs.bioconjchem.5c00541","url":null,"abstract":"<p >Small-molecule immune modulators offer a promising alternative to biologics, such as antibodies, for cancer immunotherapy. A key example is the TLR7 agonist imiquimod (<b>IMQ</b>), which has already been approved for the treatment of various dermatological malignancies. Nevertheless, the clinical use of <b>IMQ</b> is limited to tumors amenable to topical application, as its systemic administration poses a high risk of severe inflammatory toxicity due to the widespread expression of TLRs. Therefore, to extend the use of TLR7 agonists to the treatment of other solid tumor types, we developed a β-glucuronidase-responsive albumin-binding prodrug designed for the selective delivery of <b>IMQ</b> within the tumor microenvironment. This prodrug masks <b>IMQ</b>’s immunogenicity, allowing for its administration in immunocompetent mice without eliciting the systemic side effects associated with TLR7 agonists. However, the β-glucuronidase-catalyzed prodrug activation enables the selective, tumor site-specific release of <b>IMQ</b>, thereby restoring its biological activities. This controlled delivery promotes M1 macrophage polarization, T cell activation, and an increase in IgG levels exclusively within malignant tissues without affecting the healthy organs that are sensitive to TLR7 agonists. This study demonstrates that targeting tumor microenvironment specificities represents a promising approach for developing selective cancer immunotherapies based on small-molecule immune modulators.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":"37 1","pages":"150–159"},"PeriodicalIF":3.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145861527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31DOI: 10.1021/acs.bioconjchem.5c00345
Giulia Castello, , , Marjolein M.E. Isendoorn, , , Marcel Camps, , , Nico J. Meeuwenoord, , , Vincent F. H. Verhoeks, , , Thomas C. van den Ende, , , Jeroen D. C. Codée, , , Ferry Ossendorp*, , and , Dmitri V. Filippov*,
The design of effective vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) relies on eliciting robust cellular and humoral immune responses. In this study, we report the synthesis and immunological evaluation of synthetic long peptide (SLP) vaccines incorporating immunodominant CD4+ and CD8+ T cell and B cell epitopes from the SARS-CoV-2 proteome, covalently conjugated to stereochemically defined UPam ligands, which serve as synthetic Toll-like receptor 2 (TLR2) agonists. Using solid-phase peptide synthesis, we generated a panel of R- and S-glycerol-based UPam conjugates with varied amino acids adjacent to the palmitoylated cysteine. These conjugates were evaluated for their ability to induce dendritic cell maturation, TLR2 activation, and antigen-specific immune responses. In vitro assays demonstrated that R-UPam ligands, particularly those containing Dab and Abu residues, were superior in stimulating IL-12p40 production and TLR2 activation compared with their S-epimer counterparts. In vivo immunization studies in mice revealed that covalent conjugation of UPam to CD8+ T cell epitopes (VNF and REL) significantly enhanced antigen-specific T cell responses compared to unconjugated mixtures. Furthermore, a UPam-conjugated B cell epitope fused to a universal helper T cell peptide (PADRE) induced strong dendritic cell activation and enhanced PADRE-specific CD4+ T and B cell responses, as evidenced by elevated IgG production. These findings underscore the potential of chirally pure UPam-conjugated peptide vaccines to induce balanced, durable immunity against SARS-CoV-2 by combining TLR2-mediated adjuvanticity with precise epitope targeting.
{"title":"Solid-Phase Synthesis and Immunological Evaluation of Peptide Conjugates Containing Stereochemically Defined UPam-Based TLR2 Ligands and Epitopes from SARS-CoV-2 Virus","authors":"Giulia Castello, , , Marjolein M.E. Isendoorn, , , Marcel Camps, , , Nico J. Meeuwenoord, , , Vincent F. H. Verhoeks, , , Thomas C. van den Ende, , , Jeroen D. C. Codée, , , Ferry Ossendorp*, , and , Dmitri V. Filippov*, ","doi":"10.1021/acs.bioconjchem.5c00345","DOIUrl":"10.1021/acs.bioconjchem.5c00345","url":null,"abstract":"<p >The design of effective vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) relies on eliciting robust cellular and humoral immune responses. In this study, we report the synthesis and immunological evaluation of synthetic long peptide (SLP) vaccines incorporating immunodominant CD4<sup>+</sup> and CD8<sup>+</sup> T cell and B cell epitopes from the SARS-CoV-2 proteome, covalently conjugated to stereochemically defined UPam ligands, which serve as synthetic Toll-like receptor 2 (TLR2) agonists. Using solid-phase peptide synthesis, we generated a panel of R- and S-glycerol-based UPam conjugates with varied amino acids adjacent to the palmitoylated cysteine. These conjugates were evaluated for their ability to induce dendritic cell maturation, TLR2 activation, and antigen-specific immune responses. <i>In vitro</i> assays demonstrated that <i>R</i>-UPam ligands, particularly those containing Dab and Abu residues, were superior in stimulating IL-12p40 production and TLR2 activation compared with their S-epimer counterparts. <i>In vivo</i> immunization studies in mice revealed that covalent conjugation of UPam to CD8<sup>+</sup> T cell epitopes (VNF and REL) significantly enhanced antigen-specific T cell responses compared to unconjugated mixtures. Furthermore, a UPam-conjugated B cell epitope fused to a universal helper T cell peptide (PADRE) induced strong dendritic cell activation and enhanced PADRE-specific CD4<sup>+</sup> T and B cell responses, as evidenced by elevated IgG production. These findings underscore the potential of chirally pure UPam-conjugated peptide vaccines to induce balanced, durable immunity against SARS-CoV-2 by combining TLR2-mediated adjuvanticity with precise epitope targeting.</p>","PeriodicalId":29,"journal":{"name":"Bioconjugate Chemistry","volume":"37 1","pages":"1–10"},"PeriodicalIF":3.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145861488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}