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Zhang H, Bhakta D, Saha A, Peddireddy SP, Bao S, Li L, Handali S, Secor WE, Fraga LAO, Fairley JK, Sarkar A. Sample-sparing multiplexed antibody Fc biomarker discovery using a reconfigurable integrated microfluidic platform. LAB ON A CHIP 2025; 25:2828-2838. [PMID: 40337849 PMCID: PMC12060099 DOI: 10.1039/d5lc00042d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Accepted: 03/28/2025] [Indexed: 05/09/2025]
Abstract
Control of endemic infectious diseases is often impeded by the lack of sensitive and specific yet easy-to-obtain biomarkers. Antibody fragment crystallizable (Fc) regions, such as Fc glycosylation, which are modulated in a pathogen-specific and disease-state-specific manner have emerged as potential such biomarkers. However current methods to perform large-scale antigen-specific antibody Fc feature screening for biomarker discovery often require too much sample volume, cost and expertise to be realistically realizable in many disease contexts. Here we present a simple, flexible and reconfigurable microfluidic device, made using rapid prototyping techniques, that can perform highly multiplexed and high-throughput biomarker discovery targeting both antibody fragment antigen-binding (Fab) and Fc features including antigen specificity, antibody isotypes, subclasses, N-glycosylation and Fc receptor binding. Using integration of an antigen microarray and reconfigurable microfluidics for sample and probe distribution, the device can perform a total of 1400 assays measuring 100 antibody Fab and Fc features per sample from a low sample volume (15 μL). The device demonstrates cleanroom-free simple fabrication and ease of use comparable to standard immunoassay platforms. Performance comparable to existing methods was validated and a biomarker screening for schistosomiasis, a helminth-mediated infection, was performed using clinical samples where antibody subclass-based biomarkers were successfully identified distinguishing current infection from former infection and endemic controls.
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Affiliation(s)
- Hanhao Zhang
- Department of Biomedical Engineering, Georgia Institute of Technology, 315 Ferst Dr NW, Atlanta, GA 30332, USA.
| | - Divya Bhakta
- Department of Biomedical Engineering, Georgia Institute of Technology, 315 Ferst Dr NW, Atlanta, GA 30332, USA.
| | - Anushka Saha
- Department of Biomedical Engineering, Georgia Institute of Technology, 315 Ferst Dr NW, Atlanta, GA 30332, USA.
| | - Sai Preetham Peddireddy
- Department of Biomedical Engineering, Georgia Institute of Technology, 315 Ferst Dr NW, Atlanta, GA 30332, USA.
| | - Shumin Bao
- Department of Chemistry and Center for Diagnostics & Therapeutics, Georgia State University, Atlanta, GA, 30303, USA
| | - Lei Li
- Department of Chemistry and Center for Diagnostics & Therapeutics, Georgia State University, Atlanta, GA, 30303, USA
| | - Sukwan Handali
- Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
| | - W Evan Secor
- Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
| | - Lucia A O Fraga
- Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais 36036-900, Brazil
| | - Jessica K Fairley
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, GA 30307, USA
| | - Aniruddh Sarkar
- Department of Biomedical Engineering, Georgia Institute of Technology, 315 Ferst Dr NW, Atlanta, GA 30332, USA.
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VanOudenhove J, Liu Y, Nelakanti R, Kim D, Busarello E, Ovalle NT, Qi Z, Mamillapalli P, Siddon A, Bai Z, Axtmayer A, Corso C, Kothari S, Foss F, Isufi I, Tebaldi T, Gowda L, Fan R, Seropian S, Halene S. Impact of memory T cells on SARS-CoV-2 vaccine response in hematopoietic stem cell transplant. PLoS One 2025; 20:e0320744. [PMID: 40294012 PMCID: PMC12036906 DOI: 10.1371/journal.pone.0320744] [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: 10/29/2024] [Accepted: 02/24/2025] [Indexed: 04/30/2025] Open
Abstract
During the COVID-19 pandemic, hematopoietic stem cell transplant (HSCT) recipients had elevated mortality rates from SARS-CoV-2 infection, ranging between 10-40%. SARS-CoV-2 mRNA vaccines are important tools in preventing severe disease, yet their efficacy post-transplant remains unclear, especially in patients subjected to myeloablative chemotherapy and immunosuppression. We evaluated humoral and adaptive immune responses to the SARS-CoV-2 mRNA vaccination series in 42 HSCT recipients and 5 healthy controls. Post-vaccination responses were assessed by anti-spike IgG and nucleocapsid levels, and antigen specific T cell activity. Immune profiling was performed using clinical flow and mass cytometry. Patients were selected based on humoral and cellular responses for single-cell RNA with TCR and BCR sequencing. Our studies revealed defects in memory T cells that correlated with an absence of cellular response despite nearly universal humoral response. Several patients with a robust antibody response developed COVID-19 infection, but none developed severe disease or died from the infection.
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Affiliation(s)
- Jennifer VanOudenhove
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Yuxin Liu
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Raman Nelakanti
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Dongjoo Kim
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America
| | - Emma Busarello
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Natalia Tijaro Ovalle
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Zhihong Qi
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Padmavathi Mamillapalli
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Alexa Siddon
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Zhiliang Bai
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America
| | - Alfredo Axtmayer
- Bone Marrow Transplant and Cellular Therapy Program, Yale New Haven Hospital and Yale Cancer Center, New Haven, Connecticut, United States of America
| | - Cheryl Corso
- Bone Marrow Transplant and Cellular Therapy Program, Yale New Haven Hospital and Yale Cancer Center, New Haven, Connecticut, United States of America
| | - Shalin Kothari
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Francine Foss
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Iris Isufi
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Bone Marrow Transplant and Cellular Therapy Program, Yale New Haven Hospital and Yale Cancer Center, New Haven, Connecticut, United States of America
| | - Toma Tebaldi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Lohith Gowda
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America
| | - Stuart Seropian
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
| | - Stephanie Halene
- Section of Hematology, Department of Internal Medicine and Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, United States of America
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Sadique MA, Yadav S, Khan R, Srivastava AK. Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19. Chem Soc Rev 2024; 53:3774-3828. [PMID: 38433614 DOI: 10.1039/d3cs00719g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
More than four years have passed since an inimitable coronavirus disease (COVID-19) pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute respiratory syndrome (SARS-CoV-2) infection. The occurrence of this highly contagious respiratory infectious disease led to chaos and mortality all over the world. The peak paradigm shift of the researchers was inclined towards the accurate and rapid detection of diseases. Since 2019, there has been a boost in the diagnostics of COVID-19 via numerous conventional diagnostic tools like RT-PCR, ELISA, etc., and advanced biosensing kits like LFIA, etc. For the same reason, the use of nanotechnology and two-dimensional nanomaterials (2DNMs) has aided in the fabrication of efficient diagnostic tools to combat COVID-19. This article discusses the engineering techniques utilized for fabricating chemically active E2DNMs that are exceptionally thin and irregular. The techniques encompass the introduction of heteroatoms, intercalation of ions, and the design of strain and defects. E2DNMs possess unique characteristics, including a substantial surface area and controllable electrical, optical, and bioactive properties. These characteristics enable the development of sophisticated diagnostic platforms for real-time biosensors with exceptional sensitivity in detecting SARS-CoV-2. Integrating the Internet of Medical Things (IoMT) with these E2DNMs-based advanced diagnostics has led to the development of portable, real-time, scalable, more accurate, and cost-effective SARS-CoV-2 diagnostic platforms. These diagnostic platforms have the potential to revolutionize SARS-CoV-2 diagnosis by making it faster, easier, and more accessible to people worldwide, thus making them ideal for resource-limited settings. These advanced IoMT diagnostic platforms may help with combating SARS-CoV-2 as well as tracking and predicting the spread of future pandemics, ultimately saving lives and mitigating their impact on global health systems.
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Affiliation(s)
- Mohd Abubakar Sadique
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Shalu Yadav
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Raju Khan
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Avanish K Srivastava
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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Hajam MI, Khan MM. Microfluidics: a concise review of the history, principles, design, applications, and future outlook. Biomater Sci 2024; 12:218-251. [PMID: 38108438 DOI: 10.1039/d3bm01463k] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Microfluidic technologies have garnered significant attention due to their ability to rapidly process samples and precisely manipulate fluids in assays, making them an attractive alternative to conventional experimental methods. With the potential for revolutionary capabilities in the future, this concise review provides readers with insights into the fascinating world of microfluidics. It begins by introducing the subject's historical background, allowing readers to familiarize themselves with the basics. The review then delves into the fundamental principles, discussing the underlying phenomena at play. Additionally, it highlights the different aspects of microfluidic device design, classification, and fabrication. Furthermore, the paper explores various applications, the global market, recent advancements, and challenges in the field. Finally, the review presents a positive outlook on trends and draws lessons to support the future flourishing of microfluidic technologies.
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Affiliation(s)
- Mohammad Irfan Hajam
- Department of Mechanical Engineering, National Institute of Technology Srinagar, India.
| | - Mohammad Mohsin Khan
- Department of Mechanical Engineering, National Institute of Technology Srinagar, India.
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VanOudenhove J, Liu Y, Nelakanti R, Kim D, Busarello E, Ovalle NT, Qi Z, Mamillapalli P, Siddon A, Bai Z, Axtmayer A, Corso C, Kothari S, Foss F, Isufi I, Tebaldi T, Gowda L, Fan R, Seropian S, Halene S. Impact of Memory T Cells on SARS-COV-2 Vaccine Response in Hematopoietic Stem Cell Transplant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.26.564259. [PMID: 37961434 PMCID: PMC10634862 DOI: 10.1101/2023.10.26.564259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
During the COVID-19 pandemic, hematopoietic stem cell transplant (HSCT) recipients faced an elevated mortality rate from SARS-CoV-2 infection, ranging between 10-40%. The SARS-CoV-2 mRNA vaccines are important tools in preventing severe disease, yet their efficacy in the post-transplant setting remains unclear, especially in patients subjected to myeloablative chemotherapy and immunosuppression. We evaluated the humoral and adaptive immune responses to the SARS-CoV-2 mRNA vaccination series in 42 HSCT recipients and 5 healthy controls. Peripheral blood mononuclear nuclear cells and serum were prospectively collected before and after each dose of the SARS-CoV-2 vaccine. Post-vaccination responses were assessed by measuring anti-spike IgG and nucleocapsid titers, and antigen specific T cell activity, before and after vaccination. In order to examine mechanisms behind a lack of response, pre-and post-vaccine samples were selected based on humoral and cellular responses for single-cell RNA sequencing with TCR and BCR sequencing. Our observations revealed that while all participants eventually mounted a humoral response, transplant recipients had defects in memory T cell populations that were associated with an absence of T cell response, some of which could be detected pre-vaccination.
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