{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T16:04:33Z","timestamp":1790784273604,"version":"4.1.0"},"reference-count":78,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T00:00:00Z","timestamp":1790467200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T00:00:00Z","timestamp":1790467200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32201237"],"award-info":[{"award-number":["32201237"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Science"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Accurate and in situ detection of uracil\u2010DNA glycosylase (UDG) is crucial for clinical diagnosis and prognosis assessment. However, conventional methods show low accuracy, limited sensitivity, and off\u2010target signal leakage due to flawed signal input\/output and amplification mechanisms. Therefore, an engineered allosteric biosensor (UUU\u2010DZ\u2010tFNA) was developed, in which UDG specifically recognizes and activates a DNAzyme to achieve signal cycle amplification in a sequentially activatable mode. Experimental results demonstrated that UUU\u2010DZ\u2010tFNA enables rapid, highly sensitive (LOD = 0.025 mU\/mL), and specific detection of UDG. In addition, UUU\u2010DZ\u2010tFNA enables in situ molecular imaging of UDG at both the neuroblastoma (NB) cellular and animal levels, as well as precise in situ detection of UDG in plasma exosomes from NB patients. In particular, the non\u2010invasive risk stratification model for NB developed using machine learning based on exosomal UDG and clinical multidimensional indicators, including\n                    <jats:italic>MYCN<\/jats:italic>\n                    amplification status, International NB Risk Factors (IDRFs), neuron\u2010specific enolase (NSE), and lactate dehydrogenase (LDH), showed excellent discriminatory ability, with 85.7% sensitivity, 100.0% specificity, and 92.8% accuracy. UUU\u2010DZ\u2010tFNA also enables image\u2010guided surgical excision in vivo and effective monitoring of drug resistance in NB. In summary, UUU\u2010DZ\u2010tFNA enables in situ detection of UDG, facilitating risk stratification and drug resistance monitoring of NB.\n                  <\/jats:p>","DOI":"10.1002\/advs.77924","type":"journal-article","created":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T18:00:31Z","timestamp":1790532031000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Engineered Allosteric Biosensor for In Situ DNA Glycosylase Detection in Neuroblastoma Risk Stratification and Drug Resistance Monitoring"],"prefix":"10.1002","author":[{"given":"Yaqing","family":"Lu","sequence":"first","affiliation":[{"name":"Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor Children's Hospital Affiliated to Zhengzhou University  Zhengzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Rare Diseases Endocrinology and Metabolism Center The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology  Luoyang China"},{"name":"State Key Laboratory of Light Superalloys Henan University of Science and Technology  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor Children's Hospital Affiliated to Zhengzhou University  Zhengzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengxin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor Children's Hospital Affiliated to Zhengzhou University  Zhengzhou China"},{"name":"College of Public Health Zhengzhou University  Zhengzhou P. 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