1
|
Liu Y, Yu L, Chen L, Chen K, Xu H, Chen M, Yi K, Li Y, Chen T, Wang F, Wang F, Zhu J, Wang F, Xiao X, Yang Y. Gradient Hydrogels Spatially Trapped Optical Cell Profiling for Quantitative Blood Cellular Osmotic Analysis. ACS Sens 2024; 9:1592-1601. [PMID: 38477713 DOI: 10.1021/acssensors.4c00102] [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] [Indexed: 03/14/2024]
Abstract
The quantitative exploration of cellular osmotic responses and a thorough analysis of osmotic pressure-responsive cellular behaviors are poised to offer novel clinical insights into current research. This underscores a paradigm shift in the long-standing approach of colorimetric measurements triggered by red cell lysis. In this study, we engineered a purpose-driven optofluidic platform to facilitate the goal. Specifically, creating photocurable hydrogel traps surmounts a persistent challenge─optical signal interference from fluid disturbances. This achievement ensures a stable spatial phase of cells and the acquisition of optical signals for accurate osmotic response analysis at the single-cell level. Leveraging a multigradient microfluidic system, we constructed gradient osmotic hydrogel traps and developed an imaging recognition algorithm, empowering comprehensive analysis of cellular behaviors. Notably, this system has successfully and precisely analyzed individual and clustered cellular responses within the osmotic dimension. Prospective clinical testing has further substantiated its feasibility and performance in that it demonstrates an accuracy of 92% in discriminating complete hemolysis values (n = 25) and 100% in identifying initial hemolysis values (n = 25). Foreseeably, this strategy should promise to advance osmotic pressure-related cellular response analysis, benefiting further investigation and diagnosis of related blood diseases, blood quality, drug development, etc.
Collapse
Affiliation(s)
- Yantong Liu
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Le Yu
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
| | - Longfei Chen
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
| | - Keyu Chen
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
| | - Hongshan Xu
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
| | - Ming Chen
- Department of Blood Transfusion, Zhongnan Hospital, Wuhan University, Wuhan 430071, China
| | - Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital, Wuhan University, Wuhan 430071, China
| | - Ying Li
- Department of Ophthalmology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Ting Chen
- Department of Ophthalmology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Faxi Wang
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
| | - Fang Wang
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
| | - Jiaomeng Zhu
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital, Wuhan University, Wuhan 430071, China
| | - Xuan Xiao
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
- Department of Ophthalmology, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Yi Yang
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430060, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| |
Collapse
|
2
|
Raj R, Firoz Khan M, Shariq M, Ahsan N, Singh R, Kumar Basoya P. Point-of-care optical devices in clinical imaging and screening: A review on the state of the art. JOURNAL OF BIOPHOTONICS 2023; 16:e202200386. [PMID: 36906735 DOI: 10.1002/jbio.202200386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/07/2023] [Accepted: 03/09/2023] [Indexed: 06/07/2023]
Abstract
Integration of optical technologies in biomedical sciences permitted light manipulation at smaller time-length scales for specific detection and imaging of biological entities. Similarly, advances in consumer electronics and wireless telecommunications strengthened the development of affordable and portable point-of-care (POC) optical devices, circumventing the necessity of conventional clinical analyses by trained personnel. However, many of the POC optical technologies translated from bench to bedside require industrial support for their commercialization and dissemination to the population. This review aims to demonstrate the intriguing progress and challenges of emerging POC devices utilizing optics for clinical imaging (depth-resolved and perfusion imaging) and screening (infections, cancer, cardiac health, and haematologic disorders) with a focus on research studies over the previous 3 years. Special attention is given to POC optical devices that can be utilized in resource-constrained environments.
Collapse
Affiliation(s)
- Reshmi Raj
- Division of Quantum Biophotonics, QuantLase Laboratory, Abu Dhabi, United Arab Emirates
| | - Mohammad Firoz Khan
- Division of Quantum Biophotonics, QuantLase Laboratory, Abu Dhabi, United Arab Emirates
| | - Mohd Shariq
- Division of Quantum Biophotonics, QuantLase Laboratory, Abu Dhabi, United Arab Emirates
| | - Nuzhat Ahsan
- Division of Quantum Biophotonics, QuantLase Laboratory, Abu Dhabi, United Arab Emirates
| | - Rinky Singh
- Division of Quantum Biophotonics, QuantLase Laboratory, Abu Dhabi, United Arab Emirates
| | - Pramod Kumar Basoya
- Division of Quantum Biophotonics, QuantLase Laboratory, Abu Dhabi, United Arab Emirates
| |
Collapse
|
3
|
Zou Y, Ye F, Kong Y, Hu X, Deng X, Xie J, Song C, Ou X, Wu S, Wu L, Xie Y, Tian W, Tang Y, Wong C, Chen Z, Xie X, Tang H. The Single-Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2203699. [PMID: 36529697 PMCID: PMC9929130 DOI: 10.1002/advs.202203699] [Citation(s) in RCA: 90] [Impact Index Per Article: 90.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 11/11/2022] [Indexed: 05/07/2023]
Abstract
Distant metastasis remains the major cause of morbidity for breast cancer. Individuals with liver or brain metastasis have an extremely poor prognosis and low response rates to anti-PD-1/L1 immune checkpoint therapy compared to those with metastasis at other sites. Therefore, it is urgent to investigate the underlying mechanism of anti-PD-1/L1 resistance and develop more effective immunotherapy strategies for these patients. Using single-cell RNA sequencing, a high-resolution map of the entire tumor ecosystem based on 44 473 cells from breast cancer liver and brain metastases is depicted. Identified by canonical markers and confirmed by multiplex immunofluorescent staining, the metastatic ecosystem features remarkable reprogramming of immunosuppressive cells such as FOXP3+ regulatory T cells, LAMP3+ tolerogenic dendritic cells, CCL18+ M2-like macrophages, RGS5+ cancer-associated fibroblasts, and LGALS1+ microglial cells. In addition, PD-1 and PD-L1/2 are barely expressed in CD8+ T cells and cancer/immune/stromal cells, respectively. Interactions of the immune checkpoint molecules LAG3-LGALS3 and TIGIT-NECTIN2 between CD8+ T cells and cancer/immune/stromal cells are found to play dominant roles in the immune escape. In summary, this study dissects the intratumoral heterogeneity and immunosuppressive microenvironment in liver and brain metastases of breast cancer for the first time, providing insights into the most appropriate immunotherapy strategies for these patients.
Collapse
Affiliation(s)
- Yutian Zou
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Feng Ye
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Yanan Kong
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Xiaoqian Hu
- School of Biomedical SciencesFaculty of MedicineThe University of Hong Kong21 Sassoon RoadHong Kong999077China
| | - Xinpei Deng
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Jindong Xie
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Cailu Song
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Xueqi Ou
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Song Wu
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Linyu Wu
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Yi Xie
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Wenwen Tian
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Yuhui Tang
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Chau‐Wei Wong
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Zhe‐Sheng Chen
- College of Pharmacy and Health SciencesSt. John's UniversityQueensNYUSA
| | - Xinhua Xie
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Hailin Tang
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| |
Collapse
|