1
|
Ray CMP, Yang H, Spangler JB, Mac Gabhann F. Mechanistic computational modeling of monospecific and bispecific antibodies targeting interleukin-6/8 receptors. PLoS Comput Biol 2024; 20:e1012157. [PMID: 38848446 PMCID: PMC11189202 DOI: 10.1371/journal.pcbi.1012157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/20/2024] [Accepted: 05/10/2024] [Indexed: 06/09/2024] Open
Abstract
The spread of cancer from organ to organ (metastasis) is responsible for the vast majority of cancer deaths; however, most current anti-cancer drugs are designed to arrest or reverse tumor growth without directly addressing disease spread. It was recently discovered that tumor cell-secreted interleukin-6 (IL-6) and interleukin-8 (IL-8) synergize to enhance cancer metastasis in a cell-density dependent manner, and blockade of the IL-6 and IL-8 receptors (IL-6R and IL-8R) with a novel bispecific antibody, BS1, significantly reduced metastatic burden in multiple preclinical mouse models of cancer. Bispecific antibodies (BsAbs), which combine two different antigen-binding sites into one molecule, are a promising modality for drug development due to their enhanced avidity and dual targeting effects. However, while BsAbs have tremendous therapeutic potential, elucidating the mechanisms underlying their binding and inhibition will be critical for maximizing the efficacy of new BsAb treatments. Here, we describe a quantitative, computational model of the BS1 BsAb, exhibiting how modeling multivalent binding provides key insights into antibody affinity and avidity effects and can guide therapeutic design. We present detailed simulations of the monovalent and bivalent binding interactions between different antibody constructs and the IL-6 and IL-8 receptors to establish how antibody properties and system conditions impact the formation of binary (antibody-receptor) and ternary (receptor-antibody-receptor) complexes. Model results demonstrate how the balance of these complex types drives receptor inhibition, providing important and generalizable predictions for effective therapeutic design.
Collapse
Affiliation(s)
- Christina M. P. Ray
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Medical-Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Huilin Yang
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Jamie B. Spangler
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Sidney Kimmel Cancer Center, Johns Hopkins University, Baltimore, Maryland, United States of America
- Bloomberg Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Feilim Mac Gabhann
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
- Institute for Nano Biotechnology (INBT), Johns Hopkins University, Baltimore, Maryland, United States of America
| |
Collapse
|
2
|
Wang J, Kang G, Lu H, de Marco A, Yuan H, Feng Z, Gao M, Wang X, Wang H, Zhang X, Wang Y, Zhang M, Wang P, Feng Y, Liu Z, Cao X, Huang H. Novel bispecific nanobody mitigates experimental intestinal inflammation in mice by targeting TNF-α and IL-23p19 bioactivities. Clin Transl Med 2024; 14:e1636. [PMID: 38533646 PMCID: PMC10966562 DOI: 10.1002/ctm2.1636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/09/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Inflammatory bowel diseases (IBDs) pose significant challenges in terms of treatment non-response, necessitating the development of novel therapeutic approaches. Although biological medicines that target TNF-α (tumour necrosis factor-α) have shown clinical success in some IBD patients, a substantial proportion still fails to respond. METHODS We designed bispecific nanobodies (BsNbs) with the ability to simultaneously target human macrophage-expressed membrane TNF-α (hmTNF-α) and IL-23. Additionally, we fused the constant region of human IgG1 Fc (hIgG1 Fc) to BsNb to create BsNb-Fc. Our study encompassed in vitro and in vivo characterization of BsNb and BsNb-Fc. RESULTS BsNb-Fc exhibited an improved serum half-life, targeting capability and effector function than BsNb. It's demonstrated that BsNb-Fc exhibited superior anti-inflammatory effects compared to the anti-TNF-α mAb (infliximab, IFX) combined with anti-IL-12/IL-23p40 mAb (ustekinumab, UST) by Transwell co-culture assays. Notably, in murine models of acute colitis brought on by 2,4,6-trinitrobenzene sulfonic acid(TNBS) and dextran sulphate sodium (DSS), BsNb-Fc effectively alleviated colitis severity. Additionally, BsNb-Fc outperformed the IFX&UST combination in TNBS-induced colitis, significantly reducing colon inflammation in mice with colitis produced by TNBS and DSS. CONCLUSION These findings highlight an enhanced efficacy and improved biostability of BsNb-Fc, suggesting its potential as a promising therapeutic option for IBD patients with insufficient response to TNF-α inhibition. KEY POINTS A bispecific nanobody (BsNb) was created to target TNF-α and IL-23p19, exhibiting high affinity and remarkable stability. BsNb-Fc inhibited the release of cytokines in CD4+T cells during co-culture experiments. BsNb-Fc effectively alleviated colitis severity in mouse model with acute colitis induced by DSS or TNBS, outperforming the IFX&UST combination.
Collapse
Affiliation(s)
- Jiewen Wang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
| | - Guangbo Kang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
| | - Huiying Lu
- Center for Inflammatory Bowel Disease Research and Department of Gastroenterology, The Shanghai Tenth People's HospitalTongji University School of MedicineShanghaiChina
| | - Ario de Marco
- Laboratory for Environmental and Life SciencesUniversity of Nova GoricaNova GoricaSlovenia
| | - Haibin Yuan
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
| | - Zelin Feng
- Department of Gastroenterology and Hepatology, Tianjin Medical University General HospitalTianjin Medical UniversityTianjinChina
| | - Mengxue Gao
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
| | - Xiaoli Wang
- Department of Gastroenterology and Hepatology, Tianjin Medical University General HospitalTianjin Medical UniversityTianjinChina
| | - Huahong Wang
- Department of GastroenterologyPeking University First HospitalBeijingChina
| | - Xiaolan Zhang
- Department of GastroenterologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Yuli Wang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
- Tianjin Pharmaceutical Da Ren Tang Group Corporation Limited, Traditional Chinese Pharmacy Research InstituteTianjin Key Laboratory of Quality Control in Chinese MedicineTianjinChina
- State Key Laboratory of Drug Delivery Technology and PharmacokineticsTianjin Institute of Pharmaceutical ResearchTianjinChina
| | - Miao Zhang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
- China Resources Biopharmaceutical Company LimitedBeijingChina
| | - Ping Wang
- New Technology R&D DepartmentTianjin Modern Innovative TCM Technology Company LimitedTianjinChina
| | - Yuanhang Feng
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
| | - Zhanju Liu
- Center for Inflammatory Bowel Disease Research and Department of Gastroenterology, The Shanghai Tenth People's HospitalTongji University School of MedicineShanghaiChina
| | - Xiaocang Cao
- Department of Gastroenterology and Hepatology, Tianjin Medical University General HospitalTianjin Medical UniversityTianjinChina
| | - He Huang
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina
| |
Collapse
|
3
|
Akompong SK, Li Y, Gong W, Ye L, Liu J. Recently reported cell migration inhibitors: Opportunities and challenges for antimetastatic agents. Drug Discov Today 2024; 29:103906. [PMID: 38309689 DOI: 10.1016/j.drudis.2024.103906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/17/2024] [Accepted: 01/25/2024] [Indexed: 02/05/2024]
Abstract
Antimetastatic agents are highly desirable for cancer treatment because of the severe medical challenges and high mortality resulting from tumor metastasis. Having demonstrated antimetastatic effects in numerous in vitro and in vivo studies, migration inhibitors present significant opportunities for developing a new class of anticancer drugs. To provide a useful overview on the latest research in migration inhibitors, this article first discusses their therapeutic significance, targetable proteins, and developmental avenues. Subsequently it reviews over 20 representative migration inhibitors reported in recent journals in terms of their inhibitory mechanism, potency, and potential clinical utility. The relevance of the target proteins to cellular migratory function is focused on as it is crucial for assessing the overall efficacy of the inhibitors.
Collapse
Affiliation(s)
- Samuel K Akompong
- School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
| | - Yang Li
- Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Wenxue Gong
- School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
| | - Long Ye
- School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
| | - Jinping Liu
- Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
| |
Collapse
|
4
|
Zhong H, Chang L, Pei S, Kang Y, Yang L, Wu Y, Chen N, Luo Y, Zhou Y, Xie J, Xia Y. Senescence-related genes analysis in breast cancer reveals the immune microenvironment and implications for immunotherapy. Aging (Albany NY) 2024; 16:3531-3553. [PMID: 38358910 PMCID: PMC10929821 DOI: 10.18632/aging.205544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 01/09/2024] [Indexed: 02/17/2024]
Abstract
Despite the advent of precision therapy for breast cancer (BRCA) treatment, some individuals are still unable to benefit from it and have poor survival prospects as a result of the disease's high heterogeneity. Cell senescence plays a crucial role in the tumorigenesis, progression, and immune regulation of cancer and has a major impact on the tumor microenvironment. To find new treatment strategies, we aimed to investigate the potential significance of cell senescence in BRCA prognosis and immunotherapy. We created a 9-gene senescence-related signature. We evaluated the predictive power and the role of signatures in the immune microenvironment and infiltration. In vitro tests were used to validate the expression and function of the distinctive critical gene ACTC1. Our risk signature allows BRCA patients to receive a Predictive Risk Signature (PRS), which may be used to further categorize a patient's response to immunotherapy. Compared to conventional clinicopathological characteristics, PRS showed strong predictive efficacy and precise survival prediction. Moreover, PRS subgroups were examined for altered pathways, mutational patterns, and possibly useful medicines. Our research offers suggestions for incorporating senescence-based molecular classification into risk assessment and ICI therapy decision-making.
Collapse
Affiliation(s)
- Hua Zhong
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Lijie Chang
- Department of Neonatal Intensive Care Unit, The Second Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Shengbin Pei
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yakun Kang
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Lili Yang
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yifan Wu
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Nuo Chen
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yicheng Luo
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yixiao Zhou
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Jiaheng Xie
- Department of Burn and Plastic Surgery, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| | - Yiqin Xia
- Department of Breast Surgery, The First Affiliated Hospital, Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
| |
Collapse
|
5
|
VandenBussche CJ, Heaney CD, Kates M, Hooks JJ, Baloga K, Sokoll L, Rosenthal D, Detrick B. Urinary IL-6 and IL-8 as predictive markers in bladder urothelial carcinoma: A pilot study. Cancer Cytopathol 2024; 132:50-59. [PMID: 37812596 DOI: 10.1002/cncy.22767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/05/2023] [Accepted: 08/16/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND Cytokines are known to be a key a factor in numerous malignancies and to exert an important regulatory role in the tumor microenvironment. Interest has grown in understanding how cytokines modulate the tumor microenvironment and which cytokines may serve as markers of the tumor process; however, a complete picture of the cytokine landscape in bladder cancer remains unclear. METHODS Fresh urine specimens with sufficient volume were collected at random intervals. The urine concentrations of IL-8 (CXCL8), CCL18, and CXCL9 were determined using the standard commercially available enzyme immunoassay. The urine concentrations of IL-6 were determined using the high sensitivity enzyme immunoassay kit. Urinary cytokine concentrations were normalized with urinary creatinine concentrations. RESULTS Significantly elevated concentrations of IL-6 and IL-8 were detected in the urine from patients with urothelial carcinoma on follow-up compared to patients with benign follow-up. The presence of both IL-6 and IL-8 in the urine samples from the high grade urothelial carcinoma (HGUC) cohort revealed a clear discrimination when compared to samples from patients with benign follow-up. The presence of the combination of both IL-6 and IL-8 had a sensitivity of 90.0% and a specificity of 81.25%. Similar data were obtained when receiver operating characteristic analysis was performed on both IL-6 and IL-8 concentrations in the urine from patients with HGUC vs. the hematuria cohort. CONCLUSIONS The presence of IL-6 and IL-8 in urine specimens may have predictive value for urothelial carcinoma. However, a large longitudinal study is required to statistically eliminate confounding factors and support this theory.
Collapse
Affiliation(s)
- Christopher J VandenBussche
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Christopher D Heaney
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Max Kates
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Johns Hopkins Greenberg Bladder Cancer Institute, Baltimore, Maryland, USA
| | - John J Hooks
- Laboratory of Immunology, Virology Section, NEI, NIH, Bethesda, Maryland, USA
| | - Kelly Baloga
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Lori Sokoll
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dorothy Rosenthal
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Barbara Detrick
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
6
|
Shinde A, Tang X, Singh R, Brindley DN. Infliximab, a Monoclonal Antibody against TNF-α, Inhibits NF-κB Activation, Autotaxin Expression and Breast Cancer Metastasis to Lungs. Cancers (Basel) 2023; 16:52. [PMID: 38201482 PMCID: PMC10778319 DOI: 10.3390/cancers16010052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
An inflammatory milieu in the tumor microenvironment leads to immune evasion, resistance to cell death, metastasis and poor prognosis in breast cancer patients. TNF-α is a proinflammatory cytokine that regulates multiple aspects of tumor biology from initiation to progression. TNF-α-induced NF-κB activation initiates inflammatory pathways, which determine cell survival, death and tumor progression. One candidate pathway involves the increased secretion of autotaxin, which produces lysophosphatidate that signals through six G-protein-coupled receptors. Significantly, autotaxin is one of the 40-50 most upregulated genes in metastatic tumors. In this study, we investigated the effects of TNF-α by blocking its action with a monoclonal antibody, Infliximab, and studied the effects on autotaxin secretion and tumor progression. Infliximab had little effect on tumor growth, but it decreased lung metastasis by 60% in a syngeneic BALB/c mouse model using 4T1 breast cancer cells. Infliximab-treated mice also showed a decrease in proliferation and metastatic markers like Ki-67 and vimentin in tumors. This was accompanied by decreases in NF-κB activation, autotaxin expression and the concentrations of plasma and tumor cytokines/chemokines which are involved in metastasis. We also demonstrated a positive correlation of TNF-α -NF-κB and ATX expression in breast cancer patients using cancer databases. Studies in vitro showed that TNF-α-induced NF-κB activation increases autotaxin expression and the clone forming ability of 4T1 breast cancer cells. This report highlights the potential role of Infliximab as an additional approach to attenuate signaling through the autotaxin-lysophosphatidate-inflammatory cycle and decrease mortality from metastatic cancer.
Collapse
Affiliation(s)
- Anjali Shinde
- Department of Biochemistry, Faculty of Science, The MS University of Baroda, Vadodara 390002, Gujarat, India;
- Cancer Research Institute of Northern Alberta, Department of Biochemistry, University of Alberta, Edmonton, AB T6G 2S2, Canada;
| | - Xiaoyun Tang
- Cancer Research Institute of Northern Alberta, Department of Biochemistry, University of Alberta, Edmonton, AB T6G 2S2, Canada;
| | - Rajesh Singh
- Department of Biochemistry, Faculty of Science, The MS University of Baroda, Vadodara 390002, Gujarat, India;
- Department of Molecular and Human Genetics, Banaras Hindu University (BHU), Varanasi 221005, Uttar Pradesh, India
| | - David N. Brindley
- Cancer Research Institute of Northern Alberta, Department of Biochemistry, University of Alberta, Edmonton, AB T6G 2S2, Canada;
| |
Collapse
|
7
|
Ray CMP, Yang H, Spangler JB, Mac Gabhann F. Mechanistic computational modeling of monospecific and bispecific antibodies targeting interleukin-6/8 receptors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.18.570445. [PMID: 38187701 PMCID: PMC10769311 DOI: 10.1101/2023.12.18.570445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
The spread of cancer from organ to organ (metastasis) is responsible for the vast majority of cancer deaths; however, most current anti-cancer drugs are designed to arrest or reverse tumor growth without directly addressing disease spread. It was recently discovered that tumor cell-secreted interleukin-6 (IL-6) and interleukin-8 (IL-8) synergize to enhance cancer metastasis in a cell-density dependent manner, and blockade of the IL-6 and IL-8 receptors (IL-6R and IL-8R) with a novel bispecific antibody, BS1, significantly reduced metastatic burden in multiple preclinical mouse models of cancer. Bispecific antibodies (BsAbs), which combine two different antigen-binding sites into one molecule, are a promising modality for drug development due to their enhanced avidity and dual targeting effects. However, while BsAbs have tremendous therapeutic potential, elucidating the mechanisms underlying their binding and inhibition will be critical for maximizing the efficacy of new BsAb treatments. Here, we describe a quantitative, computational model of the BS1 BsAb, exhibiting how modeling multivalent binding provides key insights into antibody affinity and avidity effects and can guide therapeutic design. We present detailed simulations of the monovalent and bivalent binding interactions between different antibody constructs and the IL-6 and IL-8 receptors to establish how antibody properties and system conditions impact the formation of binary (antibody-receptor) and ternary (receptor-antibody-receptor) complexes. Model results demonstrate how the balance of these complex types drives receptor inhibition, providing important and generalizable predictions for effective therapeutic design.
Collapse
Affiliation(s)
- Christina MP Ray
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Medical-Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Huilin Yang
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Jamie B Spangler
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
- Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Sidney Kimmel Cancer Center, Johns Hopkins University, Baltimore, Maryland, United States of America
- Bloomberg Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America
| | - Feilim Mac Gabhann
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
- Institute for Nano Biotechnology (INBT), Johns Hopkins University, Baltimore, Maryland, United States of America
| |
Collapse
|
8
|
Crawford AJ, Forjaz A, Bhorkar I, Roy T, Schell D, Queiroga V, Ren K, Kramer D, Bons J, Huang W, Russo GC, Lee MH, Schilling B, Wu PH, Shih IM, Wang TL, Kiemen A, Wirtz D. Precision-engineered biomimetics: the human fallopian tube. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.06.543923. [PMID: 37333379 PMCID: PMC10274705 DOI: 10.1101/2023.06.06.543923] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
The fallopian tube has an essential role in several physiological and pathological processes from pregnancy to ovarian cancer. However, there are no biologically relevant models to study its pathophysiology. The state-of-the-art organoid model has been compared to two-dimensional tissue sections and molecularly assessed providing only cursory analyses of the model's accuracy. We developed a novel multi-compartment organoid model of the human fallopian tube that was meticulously tuned to reflect the compartmentalization and heterogeneity of the tissue's composition. We validated this organoid's molecular expression patterns, cilia-driven transport function, and structural accuracy through a highly iterative platform wherein organoids are compared to a three-dimensional, single-cell resolution reference map of a healthy, transplantation-quality human fallopian tube. This organoid model was precision-engineered to match the human microanatomy. One sentence summary Tunable organoid modeling and CODA architectural quantification in tandem help design a tissue-validated organoid model.
Collapse
|
9
|
Yang Q, Wang B, Zheng Q, Li H, Meng X, Zhou F, Zhang L. A Review of Gut Microbiota-Derived Metabolites in Tumor Progression and Cancer Therapy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207366. [PMID: 36951547 DOI: 10.1002/advs.202207366] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/15/2023] [Indexed: 05/27/2023]
Abstract
Gut microbiota-derived metabolites are key hubs connecting the gut microbiome and cancer progression, primarily by remodeling the tumor microenvironment and regulating key signaling pathways in cancer cells and multiple immune cells. The use of microbial metabolites in radiotherapy and chemotherapy mitigates the severe side effects from treatment and improves the efficacy of treatment. Immunotherapy combined with microbial metabolites effectively activates the immune system to kill tumors and overcomes drug resistance. Consequently, various novel strategies have been developed to modulate microbial metabolites. Manipulation of genes involved in microbial metabolism using synthetic biology approaches directly affects levels of microbial metabolites, while fecal microbial transplantation and phage strategies affect levels of microbial metabolites by altering the composition of the microbiome. However, some microbial metabolites harbor paradoxical functions depending on the context (e.g., type of cancer). Furthermore, the metabolic effects of microorganisms on certain anticancer drugs such as irinotecan and gemcitabine, render the drugs ineffective or exacerbate their adverse effects. Therefore, a personalized and comprehensive consideration of the patient's condition is required when employing microbial metabolites to treat cancer. The purpose of this review is to summarize the correlation between gut microbiota-derived metabolites and cancer, and to provide fresh ideas for future scientific research.
Collapse
Affiliation(s)
- Qiqing Yang
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310058, China
- MOE Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling Network, Life Sciences Institute, Zhejiang University, Hangzhou, 310058, China
| | - Bin Wang
- MOE Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling Network, Life Sciences Institute, Zhejiang University, Hangzhou, 310058, China
| | - Qinghui Zheng
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310058, China
| | - Heyu Li
- MOE Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling Network, Life Sciences Institute, Zhejiang University, Hangzhou, 310058, China
| | - Xuli Meng
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310058, China
| | - Fangfang Zhou
- Institutes of Biology and Medical Science, Soochow University, Suzhou, 215123, P. R. China
| | - Long Zhang
- MOE Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling Network, Life Sciences Institute, Zhejiang University, Hangzhou, 310058, China
- International Biomed-X Research Center, Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, China
- Center for Infection & Immunity of International Institutes of Medicine The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China
- Cancer Center, Zhejiang University, Hangzhou, 310058, China
| |
Collapse
|
10
|
Krohl PJ, Fine J, Yang H, VanDyke D, Ang Z, Kim KB, Thomas-Tikhonenko A, Spangler JB. Discovery of antibodies targeting multipass transmembrane proteins using a suspension cell-based evolutionary approach. CELL REPORTS METHODS 2023; 3:100429. [PMID: 37056366 PMCID: PMC10088246 DOI: 10.1016/j.crmeth.2023.100429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 01/06/2023] [Accepted: 02/21/2023] [Indexed: 04/15/2023]
Abstract
Due to their critical functions in cell sensing and signal processing, membrane proteins are highly preferred as pharmacological targets, and antibody drugs constitute the fastest growing category of therapeutic agents on the pharmaceutical market. However, major limitations exist in developing antibodies that recognize complex, multipass transmembrane proteins, such as G-protein-coupled receptors (GPCRs). These challenges, largely due to difficulties with recombinant expression of multipass transmembrane proteins, can be overcome using whole-cell screening techniques, which enable presentation of the functional antigen in its native conformation. Here, we developed suspension cell-based whole-cell panning methodologies to screen for specific binders against GPCRs within a naive yeast-displayed antibody library. We implemented our strategy to discover high-affinity antibodies against four distinct GPCR target proteins, demonstrating the potential for our cell-based screening workflow to advance the discovery of antibody therapeutics targeting membrane proteins.
Collapse
Affiliation(s)
- Patrick J. Krohl
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21208, USA
| | - Justyn Fine
- Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21208, USA
| | - Huilin Yang
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21208, USA
| | - Derek VanDyke
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21208, USA
| | - Zhiwei Ang
- Division of Cancer Pathobiology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kook Bum Kim
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21208, USA
| | - Andrei Thomas-Tikhonenko
- Division of Cancer Pathobiology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jamie B. Spangler
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21208, USA
- Department of Biology, Johns Hopkins University, Baltimore, MD 21208, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21208, USA
- Translational Tissue Engineering Center, Johns Hopkins University, Baltimore, MD 21231, USA
- Department of Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
- Bloomberg∼Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University, Baltimore, MD 21287, USA
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University Baltimore, MD 21231, USA
- Department of Ophthalmology, Johns Hopkins University, Baltimore, MD 21287, USA
| |
Collapse
|