Xitian Hu, Yadi Wang, Yue Wang, Gan Chen, Liying Sun, Yiming Zhu, Shengjiang Chang, Yan Peng, Junhong Lü
{"title":"Near-Field Terahertz Nanoscopy Spatially Resolves Chiral Drug–Cell Interactions: Toward Precision Intracellular Pharmacology","authors":"Xitian Hu, Yadi Wang, Yue Wang, Gan Chen, Liying Sun, Yiming Zhu, Shengjiang Chang, Yan Peng, Junhong Lü","doi":"10.1021/acs.analchem.5c01999","DOIUrl":null,"url":null,"abstract":"Chiral drug enantiomers frequently exhibit marked differences in pharmacological efficacy and toxicity profiles. However, the resolution limitations of traditional detection methodologies render them incapable of resolving the spatial heterogeneity of drug distribution within individual cells and obscure our understanding of subcellular drug distribution and mechanism of action. Here, we employ terahertz scattering-type scanning near-field optical microscopy (THz s-SNOM), a cutting-edge technique offering nanoscale spatial resolution and label-free imaging capabilities, to investigate single-cell response heterogeneity to chiral drug exposure. We systematically analyzed morphological and biochemical compositional differences between control cells and those treated with RS-ibuprofen, (R)-(−)-ibuprofen, and (S)-(+)-ibuprofen. Our high-resolution analysis revealed that the mean area of plasma membrane-derived extracellular vesicles (PEVs) in drug-treated cells increased by 24.6%, 25.4%, and 39.9%, respectively, compared to the representative control cell. Through principal component analysis and Euclidean distance distribution methods, we identified distinct spectral variations in both intracellular and nuclear regions. Notably, these three enantiomeric forms induced fundamentally different patterns of heterogeneous evolution within cellular compartments. RS-ibuprofen treatment specifically resulted in increased membrane heterogeneity concomitant with decreased nuclear heterogeneity. Quantitative analysis of spectral intensity differences within nuclear regions (<i>p</i> < 0.001), based on single-frequency imaging and clustering analyses at characteristic THz peak frequencies, provided direct evidence of drug-induced heterogeneity. These findings establish a novel paradigm for mapping drug–cell interactions at the nanoscale, conceptualizing these processes as spatially encoded phenomena, thereby advancing the field of subcellular chiral pharmacology.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"18 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.5c01999","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Chiral drug enantiomers frequently exhibit marked differences in pharmacological efficacy and toxicity profiles. However, the resolution limitations of traditional detection methodologies render them incapable of resolving the spatial heterogeneity of drug distribution within individual cells and obscure our understanding of subcellular drug distribution and mechanism of action. Here, we employ terahertz scattering-type scanning near-field optical microscopy (THz s-SNOM), a cutting-edge technique offering nanoscale spatial resolution and label-free imaging capabilities, to investigate single-cell response heterogeneity to chiral drug exposure. We systematically analyzed morphological and biochemical compositional differences between control cells and those treated with RS-ibuprofen, (R)-(−)-ibuprofen, and (S)-(+)-ibuprofen. Our high-resolution analysis revealed that the mean area of plasma membrane-derived extracellular vesicles (PEVs) in drug-treated cells increased by 24.6%, 25.4%, and 39.9%, respectively, compared to the representative control cell. Through principal component analysis and Euclidean distance distribution methods, we identified distinct spectral variations in both intracellular and nuclear regions. Notably, these three enantiomeric forms induced fundamentally different patterns of heterogeneous evolution within cellular compartments. RS-ibuprofen treatment specifically resulted in increased membrane heterogeneity concomitant with decreased nuclear heterogeneity. Quantitative analysis of spectral intensity differences within nuclear regions (p < 0.001), based on single-frequency imaging and clustering analyses at characteristic THz peak frequencies, provided direct evidence of drug-induced heterogeneity. These findings establish a novel paradigm for mapping drug–cell interactions at the nanoscale, conceptualizing these processes as spatially encoded phenomena, thereby advancing the field of subcellular chiral pharmacology.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.