Non-linear optical microscopy sheds light on cardiovascular disease.
Non-linear optical microscopy sheds light on cardiovascular disease.
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非线性光学显微镜阐明了心血管疾病。
DOI：
10.1371/journal.pone.0056136
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Ferenczi MA
中科院分区：
文献类型：
--
作者：
Caorsi V;Toepfer C;Sikkel MB;Lyon AR;MacLeod K;Ferenczi MA
许多心脏疾病都与纤维化增加和纤维性胶原组织改变有关。常规采用侵入性组织学和免疫组织化学方法分析纤维化程度，对组织对疾病的形态适应给予有限的定性理解。我们的目的是通过使用非线性光学显微镜技术双光子激发显微镜（TPE）和二次谐波信号生成（SHG）对心肌胶原网络进行三维成像，定量评估纤维化的增加。不需要样品染色，因为许多内源性荧光团被双光子机制激发，高度非中心对称的结构，如胶原蛋白产生强二次谐波信号。我们首次提出了一种3D定量分析来仔细评估心肌梗死后心力衰竭大鼠模型组织中纤维化的增加。我们展示了如何仅通过反向SHG （BSHG）来测量纤维化的变化，因为只有反向传播的SHG才能用于真正的体内应用。在梗死后20周的远端存活心肌中检测到胶原I纤维化增加5倍。空间分布也显示出明显的变化，为了解疾病进展的形态提供了见解。
Many cardiac diseases have been associated with increased fibrosis and changes in the organization of fibrillar collagen. The degree of fibrosis is routinely analyzed with invasive histological and immunohistochemical methods, giving a limited and qualitative understanding of the tissue's morphological adaptation to disease. Our aim is to quantitatively evaluate the increase in fibrosis by three-dimensional imaging of the collagen network in the myocardium using the non-linear optical microscopy techniques Two-Photon Excitation microscopy (TPE) and Second Harmonic signal Generation (SHG). No sample staining is needed because numerous endogenous fluorophores are excited by a two-photon mechanism and highly non-centrosymmetric structures such as collagen generate strong second harmonic signals. We propose for the first time a 3D quantitative analysis to carefully evaluate the increased fibrosis in tissue from a rat model of heart failure post myocardial infarction. We show how to measure changes in fibrosis from the backward SHG (BSHG) alone, as only backward-propagating SHG is accessible for true in vivo applications. A 5-fold increase in collagen I fibrosis is detected in the remote surviving myocardium measured 20 weeks after infarction. The spatial distribution is also shown to change markedly, providing insight into the morphology of disease progression.
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影响因子：
3.8
作者：
Psilodimitrakopoulos, Sotiris;Petegnief, Valerie;Loza-Alvarez, Pablo
通讯作者：
Loza-Alvarez, Pablo
影响因子：
5.1
作者：
Sato, M;O'Gara, P;Fuller, SJ
通讯作者：
Fuller, SJ
影响因子：
3.4
作者：
Plotnikov, SV;Millard, AC;Mohler, WA
通讯作者：
Mohler, WA
影响因子：
10.8
作者：
Cittadini, A;Monti, MG;Saccà, L
通讯作者：
Saccà, L
影响因子：
2.4
作者：
LaComb, Ronald;Nadiarnykh, Oleg;Campagnola, Paul J.
通讯作者：
Campagnola, Paul J.