Qianqin Yuan , Dongsheng Mao , Xiaochen Tang , Chenbin Liu , Runchi Zhang , Jie Deng , Xiaoli Zhu , Wenxing Li , Qiuhong Man , Fenyong Sun
{"title":"基于工程仿生传感器的溶血病原体生物效应丰度分析","authors":"Qianqin Yuan , Dongsheng Mao , Xiaochen Tang , Chenbin Liu , Runchi Zhang , Jie Deng , Xiaoli Zhu , Wenxing Li , Qiuhong Man , Fenyong Sun","doi":"10.1016/j.bios.2023.115502","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Conventional pathogen detection<span><span> strategies based on the molecular structure or chemical characteristics of biomarkers can only provide the “physical abundance” of microorganisms, but cannot reflect the “biological effect abundance” in the true sense. To address this issue, we report an erythrocyte membrane-encapsulated biomimetic sensor cascaded with CRISPR-Cas12a (EMSCC). Taking </span>hemolytic pathogens as the target model, we first constructed an erythrocyte membrane-encapsulated biomimetic sensor (EMS). Only hemolytic pathogens with biological effects can disrupt the </span></span>erythrocyte membrane (EM), resulting in signal generation. Then the signal was amplified by cascading CRISPR-Cas12a, and more than 6.67 × 10</span><sup>4</sup><span>-fold improvement in detection sensitivity compared to traditional erythrocyte hemolysis assay was achieved. Notably, compared with polymerase chain reaction (PCR) or enzyme linked immunosorbent assay (ELISA)-based quantification methods, EMSCC can sensitively respond to the pathogenicity change of pathogens. For the detection of simulated clinical samples based on EMSCC, we obtained an accuracy of 95% in 40 samples, demonstrating its potential clinical value.</span></p></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"237 ","pages":"Article 115502"},"PeriodicalIF":10.5000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Biological effect abundance analysis of hemolytic pathogens based on engineered biomimetic sensor\",\"authors\":\"Qianqin Yuan , Dongsheng Mao , Xiaochen Tang , Chenbin Liu , Runchi Zhang , Jie Deng , Xiaoli Zhu , Wenxing Li , Qiuhong Man , Fenyong Sun\",\"doi\":\"10.1016/j.bios.2023.115502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span>Conventional pathogen detection<span><span> strategies based on the molecular structure or chemical characteristics of biomarkers can only provide the “physical abundance” of microorganisms, but cannot reflect the “biological effect abundance” in the true sense. To address this issue, we report an erythrocyte membrane-encapsulated biomimetic sensor cascaded with CRISPR-Cas12a (EMSCC). Taking </span>hemolytic pathogens as the target model, we first constructed an erythrocyte membrane-encapsulated biomimetic sensor (EMS). Only hemolytic pathogens with biological effects can disrupt the </span></span>erythrocyte membrane (EM), resulting in signal generation. Then the signal was amplified by cascading CRISPR-Cas12a, and more than 6.67 × 10</span><sup>4</sup><span>-fold improvement in detection sensitivity compared to traditional erythrocyte hemolysis assay was achieved. Notably, compared with polymerase chain reaction (PCR) or enzyme linked immunosorbent assay (ELISA)-based quantification methods, EMSCC can sensitively respond to the pathogenicity change of pathogens. For the detection of simulated clinical samples based on EMSCC, we obtained an accuracy of 95% in 40 samples, demonstrating its potential clinical value.</span></p></div>\",\"PeriodicalId\":259,\"journal\":{\"name\":\"Biosensors and Bioelectronics\",\"volume\":\"237 \",\"pages\":\"Article 115502\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2023-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosensors and Bioelectronics\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S095656632300444X\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S095656632300444X","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOPHYSICS","Score":null,"Total":0}
Biological effect abundance analysis of hemolytic pathogens based on engineered biomimetic sensor
Conventional pathogen detection strategies based on the molecular structure or chemical characteristics of biomarkers can only provide the “physical abundance” of microorganisms, but cannot reflect the “biological effect abundance” in the true sense. To address this issue, we report an erythrocyte membrane-encapsulated biomimetic sensor cascaded with CRISPR-Cas12a (EMSCC). Taking hemolytic pathogens as the target model, we first constructed an erythrocyte membrane-encapsulated biomimetic sensor (EMS). Only hemolytic pathogens with biological effects can disrupt the erythrocyte membrane (EM), resulting in signal generation. Then the signal was amplified by cascading CRISPR-Cas12a, and more than 6.67 × 104-fold improvement in detection sensitivity compared to traditional erythrocyte hemolysis assay was achieved. Notably, compared with polymerase chain reaction (PCR) or enzyme linked immunosorbent assay (ELISA)-based quantification methods, EMSCC can sensitively respond to the pathogenicity change of pathogens. For the detection of simulated clinical samples based on EMSCC, we obtained an accuracy of 95% in 40 samples, demonstrating its potential clinical value.
期刊介绍:
Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.