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Ma X, Yang S, Zhang T, Wang S, Yang Q, Xiao Y, Shi X, Xue P, Kang Y, Liu G, Sun ZJ, Xu Z. Bioresponsive immune-booster-based prodrug nanogel for cancer immunotherapy. Acta Pharm Sin B 2022; 12:451-466. [PMID: 35127398 PMCID: PMC8800001 DOI: 10.1016/j.apsb.2021.05.016] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/28/2021] [Accepted: 04/25/2021] [Indexed: 12/24/2022] Open
Abstract
The combination of chemotherapy and immunotherapy motivates a potent immune system by triggering immunogenic cell death (ICD), showing great potential in inhibiting tumor growth and improving the immunosuppressive tumor microenvironment (ITM). However, the therapeutic effectiveness has been restricted by inferior drug bioavailability. Herein, we reported a universal bioresponsive doxorubicin (DOX)-based nanogel to achieve tumor-specific co-delivery of drugs. DOX-based mannose nanogels (DM NGs) was designed and choosed as an example to elucidate the mechanism of combined chemo-immunotherapy. As expected, the DM NGs exhibited prominent micellar stability, selective drug release and prolonged survival time, benefited from the enhanced tumor permeability and prolonged blood circulation. We discovered that the DOX delivered by DM NGs could induce powerful anti-tumor immune response facilitated by promoting ICD. Meanwhile, the released mannose from DM NGs was proved as a powerful and synergetic treatment for breast cancer in vitro and in vivo, via damaging the glucose metabolism in glycolysis and the tricarboxylic acid cycle. Overall, the regulation of tumor microenvironment with DOX-based nanogel is expected to be an effectual candidate strategy to overcome the current limitations of ICD-based immunotherapy, offering a paradigm for the exploitation of immunomodulatory nanomedicines.
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Key Words
- 5-ALA, 5-aminolevulinic acid
- 5-FU, 5-fluorouracil
- ALKP, alkaline phosphatase
- ALT, alanine aminotransferase
- APCs, antigen-presenting cells
- AST, aminotransferase
- ATP, adenosine triphosphate
- AUC, area under curves
- Bioresponsive
- CLSM, confocal laser scanning microscope
- CPT-11, irinotecan
- CRE, creatinine
- CRT, calreticulin
- Ce6, chlorin e6
- Chemotherapy
- DAMPs, damage-associated molecular patterns
- DCs, dendritic cells
- DDSs, drug delivery systems
- DLN, draining lymph nodes
- DM NGs, doxorubicin-based mannose nanogel
- DOC, docetaxel
- DOX, doxorubicin
- DTT, d,l-dithiothreitol
- Doxorubicin
- FCM, flow cytometry
- FDA, Fluorescein diacetate
- GEM, gemcitabine
- GSH, glutathione
- H&E, hematoxylin-eosin
- HCPT, 10-hydroxy camptothecin
- HCT, hematocrit
- HGB, hemoglobin concentration
- HMGB1, high migrating group box 1
- ICB, immune checkpoint blockade
- ICD, immunogenic cell death
- ICG, indocyanine Green
- IHC, immunohistochemistry
- ITM, immunosuppressive tumor microenvironment
- Immunogenic cell death
- Immunotherapy
- LDH, lactate dehydrogenase
- LYM, lymphocyte ratio
- MAN, mannose
- MCHC, mean corpuscular hemoglobin concentration
- MCSs, multicellular spheroids
- MFI, mean fluorescence intensity
- MPV, mean platelet volume
- Mannose
- NGs, nanogels
- Nanogel
- OXA, oxaliplatin
- P18, purpurin 18
- PDI, polydispersity index
- PLT, platelets
- PTX, paclitaxel
- Prodrug
- RBC, red blood cell count
- RDW, variation coefficient of red blood cell distribution width
- TAAs, tumor-associated antigens
- TAM, tumor-associated macrophages
- TGF-β, transforming growth factor-β
- TMA, tissue microarrays
- TME, tumor microenvironment
- Urea, urea nitrogen
- WBC, white blood cell count
- irAEs, immune-related adverse events
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Affiliation(s)
- Xianbin Ma
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, School of Materials and Energy & Chongqing Engineering Research Center for Micro-Nano Biomedical Materials and Devices, Southwest University, Chongqing 400715, China
| | - Shaochen Yang
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Tian Zhang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, School of Materials and Energy & Chongqing Engineering Research Center for Micro-Nano Biomedical Materials and Devices, Southwest University, Chongqing 400715, China
| | - Shuo Wang
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Qichao Yang
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Yao Xiao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Xiaoxiao Shi
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Peng Xue
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, School of Materials and Energy & Chongqing Engineering Research Center for Micro-Nano Biomedical Materials and Devices, Southwest University, Chongqing 400715, China
| | - Yuejun Kang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, School of Materials and Energy & Chongqing Engineering Research Center for Micro-Nano Biomedical Materials and Devices, Southwest University, Chongqing 400715, China
| | - Gang Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen 361102, China
- Corresponding authors. Tel./fax: +86 23 68253792 (Zhigang Xu); +86 27 87686108 (Zhijun Sun); +86 592 2880648 (Gang Liu).
| | - Zhi-Jun Sun
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China
- Corresponding authors. Tel./fax: +86 23 68253792 (Zhigang Xu); +86 27 87686108 (Zhijun Sun); +86 592 2880648 (Gang Liu).
| | - Zhigang Xu
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, School of Materials and Energy & Chongqing Engineering Research Center for Micro-Nano Biomedical Materials and Devices, Southwest University, Chongqing 400715, China
- Corresponding authors. Tel./fax: +86 23 68253792 (Zhigang Xu); +86 27 87686108 (Zhijun Sun); +86 592 2880648 (Gang Liu).
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Wang D, Li D, Zhang Y, Chen J, Zhang Y, Liao C, Qin S, Tian Y, Zhang Z, Xu F. Functional metabolomics reveal the role of AHR/GPR35 mediated kynurenic acid gradient sensing in chemotherapy-induced intestinal damage. Acta Pharm Sin B 2021; 11:763-80. [PMID: 33777681 DOI: 10.1016/j.apsb.2020.07.017] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 07/14/2020] [Accepted: 07/15/2020] [Indexed: 12/26/2022] Open
Abstract
Intestinal toxicity induced by chemotherapeutics has become an important reason for the interruption of therapy and withdrawal of approved agents. In this study, we demonstrated that chemotherapeutics-induced intestinal damage were commonly characterized by the sharp upregulation of tryptophan (Trp)−kynurenine (KYN)−kynurenic acid (KA) axis metabolism. Mechanistically, chemotherapy-induced intestinal damage triggered the formation of an interleukin-6 (IL-6)−indoleamine 2,3-dioxygenase 1 (IDO1)−aryl hydrocarbon receptor (AHR) positive feedback loop, which accelerated kynurenine pathway metabolism in gut. Besides, AHR and G protein-coupled receptor 35 (GPR35) negative feedback regulates intestinal damage and inflammation to maintain intestinal integrity and homeostasis through gradually sensing kynurenic acid level in gut and macrophage, respectively. Moreover, based on virtual screening and biological verification, vardenafil and linagliptin as GPR35 and AHR agonists respectively were discovered from 2388 approved drugs. Importantly, the results that vardenafil and linagliptin significantly alleviated chemotherapy-induced intestinal toxicity in vivo suggests that chemotherapeutics combined with the two could be a promising therapeutic strategy for cancer patients in clinic. This work highlights GPR35 and AHR as the guardian of kynurenine pathway metabolism and core component of defense responses against intestinal damage.
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Key Words
- 1-MT, 1-methyl-tryptophan
- AG, AG490
- AHR
- AHR, aryl hydrocarbon receptor
- ARNT, aryl hydrocarbon receptor nuclear translocator
- BCA, bicinchoninic acid
- BSA, bovine serum albumin
- CH, CH223191
- CPT-11, irinotecan
- CYP1A1, cytochrome P450 1A1
- DAI, disease activity index
- DMSO, dimethyl sulfoxide
- DPP-4, dipeptidyl peptidase-4
- DRE, dioxin response elements
- DSS, dextran sulphate sodium
- Dens-Cl, N-diethyl-amino naphthalene-1-sulfonyl chloride
- Dns-Cl, N-dimethyl-amino naphthalene-1-sulfonyl chloride
- ECL, enhanced chemiluminescence
- ELISA, enzyme-linked immunosorbent assay
- ERK1/2, extracellular regulated protein kinases 1/2
- ESI, electrospray ionization
- FBS, fetal bovine serum
- GE, gastric emptying
- GFP, green fluorescence protein
- GI, gastrointestinal transit
- GPR35
- GPR35, G protein-coupled receptor 35
- Gradually sensing
- HE, hematoxylin and eosin
- HRP, horseradish peroxi-dase
- IBD, inflammatory bowel disease
- IDO1, indoleamine 2,3-dioxygenase 1
- IL-6, interleukin-6
- IS, internal standard
- Intestinal toxicity
- JAK2, janus kinase 2
- KA, kynurenic acid
- KAT, kynurenine aminotransferase
- KYN, kynurenine
- Kynurenine pathway
- LC–MS, liquid chromatography–mass spectrometry
- LPS, lipopolysaccharides
- Linag, linagliptin
- MOE, molecular operating environment
- MOI, multiplicity of infection
- MRM, multiple-reaction monitoring
- MTT, thiazolyl blue tetrazolium bromide
- PBS, phosphate buffer saline
- PDB, protein data bank
- PDE5, phosphodiesterase type-5
- PF, PF-04859989
- PMA, phorbol 12-myristate 13-acetate
- PMSF, phenylmethylsulfonyl fluoride
- RIPA, radioimmunoprecipitation
- RPKM, reads per kilobase per million mapped reads
- RPMI 1640, Roswell Park Memorial Institute 1640
- RT-PCR, real-time polymerase chain reaction
- STAT3, signal transducer and activator of transcription 3
- Trp, tryptophan
- VCR, vincristine
- Vard, vardenafil
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Gao Y, Li W, Chen J, Wang X, Lv Y, Huang Y, Zhang Z, Xu F. Pharmacometabolomic prediction of individual differences of gastrointestinal toxicity complicating myelosuppression in rats induced by irinotecan. Acta Pharm Sin B 2019; 9:157-166. [PMID: 30766787 PMCID: PMC6362258 DOI: 10.1016/j.apsb.2018.09.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/21/2018] [Accepted: 08/30/2018] [Indexed: 12/13/2022] Open
Abstract
Pharmacometabolomics has been already successfully used in toxicity prediction for one specific adverse effect. However in clinical practice, two or more different toxicities are always accompanied with each other, which puts forward new challenges for pharmacometabolomics. Gastrointestinal toxicity and myelosuppression are two major adverse effects induced by Irinotecan (CPT-11), and often show large individual differences. In the current study, a pharmacometabolomic study was performed to screen the exclusive biomarkers in predose serums which could predict late-onset diarrhea and myelosuppression of CPT-11 simultaneously. The severity and sensitivity differences in gastrointestinal toxicity and myelosuppression were judged by delayed-onset diarrhea symptoms, histopathology examination, relative cytokines and blood cell counts. Mass spectrometry-based non-targeted and targeted metabolomics were conducted in sequence to dissect metabolite signatures in predose serums. Eventually, two groups of metabolites were screened out as predictors for individual differences in late-onset diarrhea and myelosuppression using binary logistic regression, respectively. This result was compared with existing predictors and validated by another independent external validation set. Our study indicates the prediction of toxicity could be possible upon predose metabolic profile. Pharmacometabolomics can be a potentially useful tool for complicating toxicity prediction. Our findings also provide a new insight into CPT-11 precision medicine.
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Key Words
- AUC-ROC, area under receiver operating characteristic
- BHB, β-hydroxybutyric acid
- Biomarkers
- C, control group
- CA, cholic acid
- CPT-11, irinotecan
- Complicating toxicity
- DBIL, direct bilirubin
- DCA, deoxycholic acid
- Diarrhea
- FDR, false discovery rate
- GCA, glycocholic acid
- Gastrointestinal toxicity
- IBIL, indirect bilirubin
- IT-TOF/MS, ion trap/time-offlight hybrid mass spectrometry
- Individual differences
- Irinotecan
- Lys, lysine
- MSTFA, N-methyl-N-trifluoroacetamide
- Metabolomics
- NS, non-sensitive group
- NSgt, non-sensitive for gastrointestinal toxicity
- NSmt, non-sensitive for myelosuppression toxicity
- OPLS-DA, orthogonal partial least-squares-discriminant analysis
- PCA, principal component analysis
- PLS-DA, partial least-squares-discriminant analysis
- Phe, phenylalanine
- Prediction
- QC, quality control
- RSD, relative standard deviation
- S, sensitive group
- Sgt, sensitive for gastrointestinal toxicity
- Smt, sensitive for myelosuppression toxicity
- T, CPT-11 treated group
- Trp, tryptophan
- UFLC, ultrafast liquid chromatography
- VIP, variable importance in the projection
- pFDR, false-discovery-rate-adjusted P value
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Affiliation(s)
- Yiqiao Gao
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Wei Li
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Jiaqing Chen
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Xu Wang
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Yingtong Lv
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Yin Huang
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Zunjian Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
| | - Fengguo Xu
- Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicine, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Screening, China Pharmaceutical University, Nanjing 210009, China
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