文献类型：期刊文献

英文题名：Label-free tissue NIR-II autofluorescence imaging for visualization of human liver malignancy

作者：He, Haisheng[1,2];Zhu, Wenwei[3,4];Miao, Han[4,5];Wang, Shangfeng[1,2];Du, Zunguo[6];Zhang, Hongxin[1,2];Ming, Jiang[1,2];Shi, Ben[1,2];Wang, Hao[3];Qi, Jianping[1,2];Fan, Yong[1,2];Wu, Wei[1,2];Zhao, Dongyuan[1,2];Qin, Lun-Xiu[3,4];Zhang, Fan[1,2]

机构：[1]Fudan Univ, Shanghai Acad Nat Sci,New Cornerstone Sci Lab, Coll Smart Mat & Future Energy,Sch Pharmaceut Sci, Dept Chem,Minist Educ,State Key Lab Mol Engn, Shanghai, Peoples R China;[2]Fudan Univ, State Key Lab Adv Drug Formulat Overcoming, Shanghai Key Lab Mol Catalysis & Innovat Mat, Shanghai Acad Nat Sci,Shanghai Wusong Lab Mat Sci, Shanghai, Peoples R China;[3]Fudan Univ, Huashan Hosp, Hepatobiliary Surg Ctr, Dept Gen Surg, Shanghai, Peoples R China;[4]Fudan Univ, Canc Metastasis Inst, Shanghai, Peoples R China;[5]East China Univ Sci & Technol, Sch Mat Sci & Engn, Shanghai, Peoples R China;[6]Fudan Univ, Huashan Hosp, Dept Pathol, Shanghai, Peoples R China

年份：2026

外文期刊名：NATURE BIOMEDICAL ENGINEERING

收录：;EI(收录号：20260419960987);WOS:【SCI-EXPANDED(收录号:WOS:001665537200001)】；

基金：This work was supported by the National Natural Science Foundation of China (NSFC, 22161160320, 82104082, 22222403, 22474026 and 82472951), New Cornerstone Science Foundation, and the Research Program of Science and Technology Commission of Shanghai Municipality (24Y12800500, 25ZR1402091, 25TS1404900 and 24QA2706400) and Innovation Program of Shanghai Municipal Education Commission (2023ZKZD08). Fan Zhang is a "SANS Exploration Scholar". We thank S. Wang (Fudan University, Department of Pathology), Z. Zhao (Fudan University, Department of Pathology) and H. Gao (Fudan University, School of Basic Medical Science) for their help with histochemical staining and transmission electron microscopic investigations.

语种：英文

外文关键词：Decision making - Diagnosis - Diseases - Histology - Liver - Surgery - Tissue engineering - Tumors

摘要：Successful surgical resection of solid tumours requires highly reliable real-time intraoperative tools to accurately delineate tumour boundaries, which remains challenging in routine clinical standards. Here, we identify endogenous substances with intense autofluorescence in the second near-infrared window (NIR-II, 1,000-1,700 nm) that are abundant in human liver tissues but negligible in cancerous tissues. Inspired by this discovery, we develop a label-free and wide-field imaging approach, named tissue autofluorescence NIR-II imaging (TANI) for visualizing human liver malignancies. TANI demonstrates exceptional contrast (7.69 +/- 0.52), sensitivity (97.8%) and specificity (98.4%) in delineating various liver malignancies, including hepatocellular carcinoma, intrahepatic cholangiocarcinoma and liver metastasis from cirrhotic or non-cirrhotic livers, outperforming routine fluorescence-guided surgery and conventional autofluorescence imaging in the visible (400-650 nm) or first near-infrared (700-900 nm) window. The excellent performance of TANI remains unaffected by cancer grade/stage, benign lesions or blood/bile contamination. These findings represent a promising advance in intraoperative decision-making and suggest a strong correlation between near-infrared autofluorescence and diseases. We believe that clarifying the molecular insights underlying these autofluorescent substances may provide new diagnostic directions.