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For the gold standard approaches, polymerase chain reaction and enzyme\u2010linked immunosorbent assay, cumbersome operational steps hinder their point\u2010of\u2010care applications. Here, a bionic biomarker entrapment system (BioES) is implemented, which employs a multi\u2010body Y\u2010shaped tetrahedral DNA probe immobilized on carbon nanotube transistors. Clinical identification of endometriosis is successfully realized by detecting an estrogen receptor, ER\n                    <jats:italic>\u03b2<\/jats:italic>\n                    , from the lesion tissue of endometriosis patients and establishing a standard diagnosis procedure. The multi\u2010body Y\u2010shaped BioES achieves a theoretical limit of detection (LoD) of 6.74 aM and a limit of quantification\u00a0of 141\u00a0aM in a complex protein milieu. Furthermore, the BioES is optimized into a multi\u2010site recognition module for enhanced binding efficiency, realizing the first identification of monkeypox virus antigen A35R and unamplified detection of circulating tumor DNA of breast cancer in serum. The rigid and compact probe framework with synergy effect enables the BioES to target A35R and DNA with a LoD down to 991 and 0.21\u00a0aM, respectively. Owing to its versatility for proteins and nucleic acids as well as ease of manipulation and ultra\u2010sensitivity, the BioES can be leveraged as an all\u2010encompassing tool for population\u2010wide screening of epidemics and clinical disease diagnosis.\n                  <\/jats:p>","DOI":"10.1002\/adma.202304119","type":"journal-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T12:10:45Z","timestamp":1690200645000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Multi\u2010Body Biomarker Entrapment System: An All\u2010Encompassing Tool for Ultrasensitive Disease Diagnosis and Epidemic Screening"],"prefix":"10.1002","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1259-6353","authenticated-orcid":false,"given":"Qinqi","family":"Ren","sequence":"first","affiliation":[{"name":"School of Electronic and Computer Engineering Peking University Shenzhen 518055 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