4.8 Article

Plasmonic Alloys Reveal a Distinct Metabolic Phenotype of Early Gastric Cancer

期刊

ADVANCED MATERIALS
卷 33, 期 17, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202007978

关键词

diagnosis; gastric cancer; metabolites; porous alloys; surface plasmon resonance

资金

  1. National Natural Science Foundation of China (NSFC) [81971771, 81771983, 82001985]
  2. Ministry of Science and Technology of China [2017YFE0124400, 2017YFC0909000]
  3. Shanghai Science and Technology Commission [20ZR1440000]
  4. China Postdoctoral Science Foundation [2020M671144]
  5. Shanghai Rising-Star Program [19QA1404800]
  6. Innovation Group Project of Shanghai Municipal Health Commission [2019CXJQ03]
  7. Clinical Research Plan of SHDC [16CR2011A, 2021-01-07-00-02-E00083]
  8. Program for Professor of Special Appointment (Eastern Scholar) by Shanghai Institutions of Higher Learning, Shanghai Sailing Program [20YF1434400]
  9. Three-year Talent Program of Changzheng Hospital (2018)
  10. Young Medical Talents Training Program of Shanghai (2018)

向作者/读者索取更多资源

The article introduces a mesoporous PdPtAu alloy designed to characterize metabolic profiles in human blood, enabling precise diagnosis of early gastric cancer by optimizing elemental composition and surface structure.
Gastric cancer (GC) is a multifactorial process, accompanied by alterations in metabolic pathways. Non-invasive metabolic profiling facilitates GC diagnosis at early stage leading to an improved prognostic outcome. Herein, mesoporous PdPtAu alloys are designed to characterize the metabolic profiles in human blood. The elemental composition is optimized with heterogeneous surface plasmonic resonance, offering preferred charge transfer for photoinduced desorption/ionization and enhanced photothermal conversion for thermally driven desorption. The surface structure of PdPtAu is further tuned with controlled mesopores, accommodating metabolites only, rather than large interfering compounds. Consequently, the optimized PdPtAu alloy yields direct metabolic fingerprints by laser desorption/ionization mass spectrometry in seconds, consuming 500 nL of native plasma. A distinct metabolic phenotype is revealed for early GC by sparse learning, resulting in precise GC diagnosis with an area under the curve of 0.942. It is envisioned that the plasmonic alloy will open up a new era of minimally invasive blood analysis to improve the surveillance of cancer patients in the clinical setting.

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